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  E-ISSN 0976-3945  
  International Journal of Advanced Engineering Technology

                                                       -An Open Access Peer Reviewed e-Journal

 
 

  EVERY CYCLE WITH CHORD HAMILTONIAN PATH IS HARMONIOUS AND ELEGANT

Authors: A. Anand Ephremnath, A. Elumalai

IJAET/ Volume VII/ Issue II/ April-June'2016/01-04

 

ABSTRACT
A graph G is called a cycle with chord Hamiltonian path, if G is obtained from the cycle Cn:Vo,V1,V2,..Vn-1V0, for all n≥6 by adding the chords V1 Vn-1, Vn-1 V2. V2 Vn-2.......VαVβ. In this paper we prove that every cycle Cn (n6) with chord Hamiltonian path is Harmonious and Elegant.

  DEMOGRAPHIC FACTORS ROLE ON TOTAL QUALITY SERVICE (TQS) AMONG THE EMPLOYEES IN SMES IN TIRUCHIRAPPALLI DISTRICT
 

Authors:P.M. Aswini, Dr.N.Senthil Kumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/05-09

 

ABSTRACT
The present study deals with the demographic factors on Total Quality Service (TQS) among the employees in Small and Medium-sized Enterprises (SMEs) in Tiruchirappalli District, TamilNadu, India. Respondent’s personal profile like age, community, educational qualification, gender, marital status, monthly income and occupation are treated as independent variables; customer, process, prevention, compensation, decision making and feedback are considered as dependent variables of the study. A sample of 125 respondents from 13 SMEs was taken up for the present study. Hypotheses have been formulated and examined by using T-test, ANOVA, Chi-square and Correlation. The findings show that there are no significant variance among the age and occupation of the respondents, but there are significant relationship among the educational qualification and monthly income of the respondents. The results indicate that the factors focusing on TQS like customer, process, prevention, compensation, decision making and feedback of the employees have been playing an important role in the organizational success.

  A NEW HYBRID METHODOLOGY IN DENOISING AND SEGMENTATION FOR DETECTION OF TUMOR IN MRI BRAIN IMAGES
 

Authors: B.Deepa, Dr.M.G.Sumithra

IJAET/ Volume VII/ Issue II/ April-June'2016/10-14

 

ABSTRACT
Denoising and Segmentation techniques have become an essential exercise in medical imaging applications, for the study of anatomical structures. To address this issue many denoising algorithm and segmentation techniques has been proposed both in spatial and frequency domain. In this paper a new hybrid methodology is proposed for detection of tumor in MRI Images. The first step involves denoising by a hybrid process called GFWT (Gabor filter and Wavelet Transform) for removal of noises like salt and pepper noise, Gaussian noise, Rician noise, Brownian noise at 5dB noise level. The second step includes segmentation by an amalgam method called HTh+SVM (Histogram Thresholding and Support Vector Machine) by extracting tumor regions. Finally the performance evaluation is done for denoising and segmentation. Noise removal algorithm is evaluated by Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE), and Universal Quality Index (UQI). Segmentation is evaluated by using negative false segmentation or Under Segmentation (UnS), positive false segmentation or Over Segmentation (OvS) and total false segmentation or Incorrect Segmentation (InS). The performance of denoising followed by segmentation is measured by accuracy, sensitivity, specificity. From the obtained results it is understand that the proposed new amalgam technique involving denoising and segmentation gives 88% good accuracy results for detecting abnormality (tumor) in MRI brain images when compared to other hybrid methodology.

  SIZE MEASURE RELATIONSHIP FOR SPEECH RECOGNITION
 

Authors: T. G. Grace Elizabeth Rani, G. Jayalalitha, K.Thiagarajan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/15-17

 

ABSTRACT
This paper focuses on the recognition of speech samples using non-linear approach, the fractal dimension. It is estimated through a procedure termed "size measure relationship". The non-linear dynamics underlying speech waveforms must be given emphasis to extract complete information. The multifractal nature of speech is also analysed using Detrended fluctuation analysis. Various window sizes are chosen for comparison, while evaluating Fractal Dimension through size measure relationship. It is observed through our analyses that Fractal Dimension through size measure relationship is a reliable method in the analysis of Tamil speech.

  KNOWLEDGE MANAGEMENT – BINARY BASED NETWORK APPROACH
 

Authors: Dr. J. Suhashini, Dr. T. Thiagarajan, U. Geetha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/18-20

 

ABSTRACT
In this paper, knowledge management is discussed with Competence, Emotional Intelligence and Teaching Effectiveness as key factors through binary based weighted approach to connect the scenario with following networks to complete the entire satisfaction of the teaching methodology along with different categories of skills rating..

  TEST COVERAGE FOR Bscan AND NON-Bscan CIRCUITS USING JTAG
 

Authors: V. Jayapradha, Dr. S. Ravi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/21-26

 

ABSTRACT
Boundary scan is a method for testing interconnects (wire lines) on printed circuit boards or sub-blocks inside an integrated circuit. Boundary scan is also widely used as a debugging method to watch integrated circuit pin states, measure voltage, or analyze sub-blocks inside an integrated circuit. JTAG/Boundary Scan is possibly the most resourceful test access technique around. Similar to In-Circuit Test (ICT), but without physical bed of nail adapters, it detects structural fault locations by utilizing thousands of test points with testing only the bus lines. The boundary scan based testing for the memory cluster, infrastructure test, Memory, CPLD, interconnect test, functionality test is presented in this paper along with the comparison of these circuits for improved test coverage result.

  A NOVEL APPROACH FOR OPTIMIZATION OF SMART MICRO-GRID USING MULTI AGENT REINFORCEMENT LEARNING
 

Authors:Leo Raju, Milton R S

 

IJAET/ Volume VII/ Issue II/ April-June'2016/27-34

 

ABSTRACT
In this paper we consider grid connected solar micro-grid system which contains a consumer, a solar photovoltaic system and a battery. The consumer is considered as an agent who continuously interacts with the environment and learns to take best actions. Initially Multi Agent System is implemented for effective energy management of solar micro-grid. Then reinforcement learning is imparted to the agent to make it smart. Each agent uses a model-free reinforcement learning algorithm, namely Q Learning, to optimize the battery scheduling in dynamic environment of load and available solar power. Multiple agents sense the states of the environment components and make coordinated, collective decisions about how to respond to randomness in load, intermittent solar power, unexpected events and unplanned actions using a Multi-Agent Reinforcement Learning algorithm, called Coordinated Q Learning (CQL). The goal of each agent is to increase the utility of the battery and solar power in order to reduce the power consumption from grid. Each agent individually optimizes and contributes to global optimization. Simulation results using real numerical data are presented for improving the reliability and stability of solar micro-grid under dynamic environment. Also substantial reduction in the grid power requirement is proved leading to economic and environmental optimization.

  WEIGHTED SIGNED RANKING APPROACH FOR TRUST RELATIONSHIP BETWEEN THERAPIST AND AN INPATIENT ALCOHOLIC OF ADDICTION REHABILITATION CENTERS
 

Authors: E. Manju, Dr. J. Suhashini, Dr. K. Thiagarajan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/35-39

 

ABSTRACT
This paper is about a two way approach of developing trust between therapist and inpatient alcoholic of addiction rehabilitation. It is followed where the patient priority is given more precedence than therapist’s priority. Here therapists are recovered alcoholics as a practical experience. A complete unique trust rating is calculated based on weighted signed graph for all possibilities of therapists interacting with its patient and vice versa. Finally, from the observation, Patient produces best trust than therapists and patient with complete trust level ratings having high support for recovery then person with better and good trust level.

  COMPETENCY ENHANCEMENT AND EMPLOYEE EMPOWERMENT IN A TPM ORGANIZATION - AN EMPIRICAL STUDY
 

Authors: M.Maran, K.Thiagarajan, G.Manikandan, K.Sarukesi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/40-47

 

ABSTRACT
Total Productive Maintenance (TPM) has been widely renowned as a strategic weapon for improving manufacturing performance to world class level. This has been successfully implemented in many organizations across worldwide. TPM establishes a system of productive maintenance, covering the entire life cycle of equipment, all departments, involves participation of all employees from top to bottom. This paper deals the TPM implementation; how it has been improving the competency level of employees at the Leading belt manufacturing company located in Madurai, Tamilnadu, India and also compares the employees’ competency in non TPM line of the same company. A literature survey was undertaken, the elements into tangible and intangible benefits of TPM implementation. From the competency assessment survey information, the role competency gap of each employee has been calculated by using Analytic Hierarchy Process (AHP) and Role Competency Matrix (RCM). This study integrates TPM implementation with employee training, empowerment, teamwork, compensation and management leadership in a theoretical model for studying employee competency within the framework of Management system. The results of this study shows the significant employees competency enhancement during the TPM implementation.

  COGNITIVE RADIO SPECTRUM SENSING TECHNIQUES - A SURVEY
 

Authors: G. Manikandan, N.Mathavan, M.Suresh, M.Paramasivam, V.Lavanya

 

IJAET/ Volume VII/ Issue II/ April-June'2016/48-52

 

ABSTRACT
Wireless communication (WC), Radio environment (RF) emerges a cognitive radio scheme. It is an intelligent wireless communication system that has more awareness about surrounding environment; depending upon the environment it will give flexible communication as well as effective reuse of the unused available spectrum. Recent Research says 70% of the radio frequency spectrum is not used effectively. Spectrum sensing (SS) is a promising technique to find out the unused portions of the spectrum, called white spaces (WS). There are several algorithms are available to perform this feasibility. In this paper, cognitive radio spectrum sensing methods is presented and explains sensing challenges and reviews various sensing methods. An unlicensed Secondary User (SU) can use the licensed spectrum band without interference to the Primary User (PU). SS is the ultimate task for successful spectrum utilization. It plays a vital function of cognitive radio to avoid the harmful interference with PU’s and identify the available spectrum for effective utilization. Finally; Comparative study has been taken out based on the different parameters.

  HYERS-ULAM STABILITY OF PARIKH VECTORS FOR FINITE WORDS IN RECTANGULAR SPACE FILLING CURVE
 

Authors: Jeyabharathi S, Thiagarajan K, Navaneetham K

 

IJAET/ Volume VII/ Issue II/ April-June'2016/53-59

 

ABSTRACT
Recurrence relation for the sequence of Parikh vectors for finite words Hn (n ≥ 1) in Rectangular Space Filling Curves is established. Hyers-Ulam stability of the first order linear non-homogeneous matrix difference equation is initiated and discussed with an example obtaining a vector that is nearest to the Parikh vector. Moreover Generalized Parikh vectors for the finite words have been analysed.

  BOUNDEDNESS OF PARIKH VECTORS FOR FINITE WORDS IN RECTANGULAR SPACE FILLING CURVE
 

Authors: Navaneetham K, Thiagarajan K, Jeyabharathi S

 

IJAET/ Volume VII/ Issue II/ April-June'2016/60-68

 

ABSTRACT
Recurrence relation for the sequence of Parikh vectors for finite words Hn (n ≥ 1) of Rectangular Space Filling Curves is established and existence of -bounded solution of this recurrence equation and its asymptotic behaviour is analysed with an example. Certain properties of the recurrence relation are discussed. It is also shown that the execution time to get the Parikh vectors is linear in n..

  EXPLORING THE CHALLENGES ASSOCIATED WITH THE IMPLEMENTATION OF TWQ (TEAM WORK QUALITY) IN INDIAN SMALL AND MEDIUM ENTREPRISES (SMEs) – A REVIEW
 

Authors: Rajalakshmi Subramaniam, Dr. Senthilkumar Nakkeeran

 

IJAET/ Volume VII/ Issue II/ April-June'2016/69-76

 

ABSTRACT
Team work Quality according to Hoegl and Gemeunden (2001) has been found to have been determined by six constructs namely coordination, communication, and balance of member contributions, mutual support, cohesion and effort. This paper systematically reviews the challenges associated with the implementation of the above said six factors in entrepreneurial ventures especially with respect to the Indian perspective. Further this paper also proposes a conceptual framework and derives a set of propositions from the conceptual framework that could be tested empirically by the future researchers. In addition to that this paper offers recommendations which can be adapted by all the SMEs that wish to implement Team Work Quality as a part of their organizational strategy.

  PARAMETER ESTIMATION OF BINOMIAL DISTRIBUTION THROUGH NCE GRAPH GRAMMAR
 

Authors: S. Jeyabharathi, K.Thiagarajan, M.Saravana vadivu

 

IJAET/ Volume VII/ Issue II/ April-June'2016/77-80

 

ABSTRACT
In this paper we define edNCE random graph grammar and also generate the language for folded cube. Our purpose is to deal with the parameter and hypothesis testing on the equality of two binomial distribution population with missing data in language from edNCE random graph grammar. In addition consistency and its limiting distribution are obtained.

  NORMS OF PARIKH MATRICES ON DNA SPLICING SYSTEM
 

Authors: S. Jeyabharathi K. Thiagarajan S. Sinthanaiselvi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/81-84

 

ABSTRACT
This paper describes the norm1and norm ∞ to the Parikh Matrices of the splicing system. It had been identified that the language of splicing system develops Parikh Matrices. Here we discussed about the norms on both the grammars on vertices and grammars on edges. norm1 and norm ∞ are differ by 1 in grammar of splicing strings on edges and norm 1 and norm ∞ are same in grammars of splicing strings on vertices.

  COMPARATIVE STUDY OF CLOSED LOOP CONTROL FOR RESONANT CONVERTER INCORPORATING BOOST CONVERTER UTILIZING COMPRESSION NETWORK
 

Authors: N. Madhanakkumar, T.S.Sivakumaran

 

IJAET/ Volume VII/ Issue II/ April-June'2016/85-92

 

ABSTRACT
In this paper, Series-Parallel LLC type of DC - DC resonant power converter configuration that uses a Compression Network (CN) has been proposed. The purpose of this CN is to maintain desired current waveform over entire range of voltage operating condition. The proposed circuit maintains high efficiency over wide range of power level. Also, the closed loop PI and fuzzy controller is used on the input side of the LLC resonant tank. The input 40V is boosted to produce output voltage of 235V with the help of ZVS boost converter with 140 kHz resonant frequency. Furthermore, performance parameters such as Voltage gain, Efficiency, Total Harmonic Distortion (THD), Switching losses and Voltage ripples was calculated. It has been proved that the proposed method has more efficiency and low losses than the conformist one. The simulation is done by using MATLAB / SIMULINK software. The simulation results of CN DC-DC Resonant Converter with FUZZY and PI controllers were compared and investigated various parameters.

  OUTLIER DETECTION ALGORITHM COMBINED WITH DECISION TREE CLASSIFIER FOR EARLY DIAGNOSIS OF BREAST CANCER
 

Authors: R Delshi Howsalya Devi, Dr. M Indra Devi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/93-100

 

ABSTRACT
Breast cancer is the most hazardous of all types of cancers that leads to the death of women. It is the second leading cause of death in women especially in some developed countries. It cannot be diagnosed easily by ordinary lab tests. It is difficult to identify at an early stage and in addition the recurrence of breast cancer is high. Many studies have analyzed the breast cancer data. This particular paper focuses on investigating automated diagnosis of the breast cancer based on machine learning algorithm. The proposed approach has three steps of a process. In the first step, groups the data in to number of clusters using Farthest First clustering algorithm. Due to shrink the size of dataset, the computation time reduced greatly.In the second step, outliers are detected from breast cancer dataset using ODA (Outlier Detection Algorithm). In third step, identifies whether the cancer is benign or malignant from the pre-processed data set using J48 classification algorithm. Wisconsin Breast Cancer Dataset (WBCD) and Wisconsin Diagnosis Breast Cancer (WDBC) have been used to test the efficacy of the proposed system . Experimental results prove that the two steps proposed approach serves to be the best one with highest accuracy of 99.9% for WBCD data set and accuracy of 99.6% for WDBC data set compared to the existing research for the same data set. This research will help the doctors to diagnose the breast cancer and thereby helping the patients in recovery..

  ANALYTICAL STUDY ON THE IMPACT OF SELFISH NODE BEHAVIORS ATTACK AND BLACK HOLE ATTACK UNDER MANET
 

Authors: K.Rama Abirami, Sumithra M G

 

IJAET/ Volume VII/ Issue II/ April-June'2016/101-110

 

ABSTRACT
Nodes in Mobile Ad hoc Networks (MANETs) exchange information using a wireless communication without the necessity for any pre-existing infrastructure. Routing protocol plays a crucial role in an effective communication between nodes. To achieve high throughput and reliable communication, routing protocols are designed with an assumption that the nodes are fully cooperative with each other in routing. Sometimes an individual node may behave selfishly to preserve its resources and do not forward the packets to other nodes but still use resources of other nodes to its own communication. In addition to that, a malicious node may behave selfishly or may even collapse the entire network. Such selfish and malicious behavior of some nodes will affect the performance of the network significantly. Certain nodes exhibit such unwanted behavior due to the open structure and limited battery-based energy, which leads to a negative impact on the fairness, reliability and efficiency in MANET. Several evaluations have been made on different kinds of node misbehaviors and attacks so far. In this work, the impact of different types of selfish node behavior and black hole attack is being studied. Some of the peculiar and strange outcomes of such attacks on the performance are also discussed.

  AUTOMATIC STROKE LESION SEGMENTATION FROM DIFFUSION WEIGHTED MRI IMAGES
 

Authors: S.Karthikeyan, M.Ezhilarasi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/111-115

ABSTRACT
Brain stroke is malfunction occurring in the brain due to disturbance or interruption in the blood supply. Ischemic stroke is one among them, where the condition exists when the blood supply to the brain is stopped. In this paper, an automated brain stroke detection method is proposed. The proposed method consists of four phases. Initial phase is the pre-processing of image by applying mean filter and morphological operations. Second phase combines the information from multiple sources of Diffusion Weighted Magnetic Resonance Imaging (DWI) images with higher b-values. Third phase constructs Quality matrix for combined DWI images to detect and segment lesions. Finally neural network is applied to classify the segmented lesions.

  ANALYSIS OF POWER SYSTEM STABILITY FOR MULTIMACHINE SYSTEM
 

Authors: D. Sabapathi and Dr. R. Anita

 

IJAET/ Volume VII/ Issue II/ April-June'2016/116-120

 

ABSTRACT
This paper proposes Power System Stabilizer (PSS) in addition to the existing AVR and Governor for power system stability. The variations of rotor angle, voltage and frequency of TNEB system are taken as comparison parameters. The system is simulated with the existing controllers and the proposed controllers for three phase fault and single phase fault using ETAP software. The combination of AVR, Governor and PSS maintains synchronism during all kinds of faults.

  AN AUTOMATIC SCREENING OF OPTIC DISC AND CUP IN RETINAL IMAGES
 

Authors:Murugan R, Reeba Korah, Kavitha T

 

IJAET/ Volume VII/ Issue II/ April-June'2016/121-126

 

ABSTRACT
An automatic segmentation of the optic disc in retinal image is the first task in gluacoma screening and other eye diseases. This paper proposes a methodology to automatically segment optic disc and cup boundary in retinal fundus images. The optic disc and cup are segmented by directional matched filtering and operator splitting methods respectively. The proposed approach is simulated in MATLAB and tested on real time by collecting retinal images from eye hospital. Quantitative evaluation measures such as F-sore and boundary distance are performed to assess the overall performance of the proposed segmentations. The proposed approach achieves an average F-sore 0.97(97%), 0.8333 (83%) for Optic Disc and cup segmentation respectively. Both optic disc and cup segmentations achieve better results when compared to other state- of-the art methods.

  A NOVEL APPLICATION OF DIFFERENCE EQUATION FOR FERN LEAF DEVELOPER AS AN INVERSE PROBLEM
 

Authors: M.Raju*, B.Selvaraj, M.Thiyagarajan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/127-133

 

ABSTRACT
Various analytical methods have been proposed to specify the geometrical orientation of the standard brand descriptions of a fern leaf. These are studied from two dimensional geometrical transformations called Iterated Function Systems. Here we have arrived at a novel design structure of a fern leaf using the nonlinear and probabilistic behaviour of generated points on the edges and interior patterns of the fern leaf. We claim such method can be used for other types of geometrical designs of plant leaves and biological species, which are self-similar obeying axial symmetry in the designer. In this paper, we focus our attention on inverse problems that consist in recovering random number sequences, which are the solution of a second order difference equation. Thus we assume that the structure of the fern leaf, boundary and matching conditions in the vertices are known a priori. The collections of boundary points are taken from the fern leaf, which generates the randomized affine transformations. Mathematica computational package is used to plot the new boundary and interior patterns of the fern leaf via the existing randomized affine transformations. Left and right sides of the new boundary curves are fitted individually to normal curve and hence their respective mean and standard deviations are obtained. Consequently, Matlab computational package is used to generate sequences of random numbers for both left and right boundary curves of the fern leaf. The second order difference equation is used for arriving at the decision of our novel method.

  EXPERIMENTAL ANALYSIS OF PROCESS PARAMETERS IN FRITION STIR WELDING USING ALUMINIUM 2024 AND ALUMINIUM 7075
 

Authors: Edwin Santhkumar.W, Dr. Shunmughanaathan.V.K., Dr. Ponnusamy. P

 

IJAET/ Volume VII/ Issue II/ April-June'2016/134-139

 

ABSTRACT
The present invention provides a means of saving a significant amount of time primarily in the metal inert gas (MIG) welding process. The automotive, shipbuilding and aerospace industries are using GMAW/GTAW as the welding process. The shielding gas was employed to protect the molten metal formed by the electric arc. The shielding gas composition in both GMAW/GTAW plays a major role to protect the weld pool from the atmospheric contamination to achieve a good weld and also for a safety purpose. Choosing the correct proportion of shielding gas for right material is a major problem for most of the industries. Three gas connectors with three shielding gas cylinders are employed which gives better time consumption and increases the welding efficiency upto 58%. A non- linear dynamic structural SYSWELD simulation model was employed to predict residual stresses and distortion in structural steel plate joined by arc welding.

  BIODEGRADATION OF OXO POLYETHYLENE: AN APPROACH USING SOIL COMPOST DEGRADERS

Authors: Mr. Gnanavel. G*, Dr. Marimuthu.Thirumarimurugan and Mrs. Mohana Jeya Valli. V. P

 

IJAET/ Volume VII/ Issue II/ April-June'2016/140-144

 

ABSTRACT
Plastics have been widely used as a packing material in the form of low density polyethylene. Continuous accumulation of plastic in the environment can cause threat to humanity and environment. Recently, microorganisms have become the focus of interest for environmental friendly disposal of plastic and polymer-based waste. The present work aims to evaluate and improve the oxo-biodegradation process of polyethylene. To achieve this, an attempt was made to degradation of polyethylene was achieved using the soil degraders. However, few studies have characterized the microbial degradation of oxo-biodegradable plastics. In this study, we tested the capability of compost soil degraders to degrade Oxo Polyethylene (OPE) without prior physical treatment, such as exposure to UV or thermal heating. After 120 days of incubation OPE sheets, developed cracks and small cavities in the plastic surface was observed as a result of the formation of hydroxyl groups and carbon-oxygen bonds. Degradation of OPE was determined by weight loss of the sample, morphological changes by Scanning Electron Microscopy, spectroscopy analysis by Fourier transform infrared spectroscopy.

  COMPARATION OF FEATURE RANKING METHODS FOR EFFECTIVE DATA CLASSIFICATION
 

Authors: S.Ilangovan Dr.VincentAntonykumar Dr.S.Appavu @ Balamurugan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/145-152

 

ABSTRACT
Ranking is the process of selecting the attributes based on their values over different criteria in relation to other attributes for a given set of attributes. In data mining, ranking is an important pre-processing technique to select the most relevant attributes in order to produce the accurate and compatible results. In this study, we considered eight well known ranking methods and these methods are applied on ten real world datasets. The qualities of feature rankings obtained by these methods are evaluated using eight learning algorithms in terms of classification accuracy and running time. The experiment results give quite different results for different ranking methods and significant differences are found in some cases, but there is no single best ranking method that works best for all data and all classifiers.

  AN IMPROVED ABC ALGORITHM BASED SHUNT ACTIVE FILTER FOR NON SINUSOIDAL SUPPLY
 

Authors: R. Karthika, Dr.V.SureshKumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/153-162

ABSTRACT
In the paper, the performance of shunt active filter (SAF) is controlled to utilize the DC-link voltage tuning algorithm. Here, an intelligent technique is proposed to control the shunt active filter (SAF) with sinusoidal and trapezoidal power supply. The intelligent technique is the combination of artificial bee colony algorithm (ABC) and genetic algorithm (GA). The ABC algorithm is used for tuning the gain of the controller and the voltage variation of power converter by using PWM pulses. It regulates the dc link voltage as per the signal harmonics and the active power loss of the system is reduced. Therefore, the accurate compensation current is injected by the SAF devices. The GA is utilized to improve the performance of ABC. In the paper, improved ABC (IABC) is used for the purpose of tuning the PI controller and reducing the harmonics level. The proposed controller is implemented in MATLAB/Simulink platform and their performances are compared with the existing methods such as, ABC-PI controller. The proposed technique is based on the harmonic compensation and evaluated the Total Harmonic Distortion (THD) and the power factor respectively. The proposed method provides better regulation of DC-link voltage response, low THD and good power factor.

  ASTOUNDING IMPACT OF OVERHEARING ON ENERGY MANAGEMENT IN MANET
 

Authors: A.Karmel and Dr. C. Jayakumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/163-165

 

ABSTRACT
In Mobile Ad hoc networks, though Overhearing improves the network performance by allowing nodes to collect route information, it takes the situation worst by wasting the available limited energy by overhearing the packets that are intended to a specific destination. The energy wasted by the neighboring nodes by receiving the packets from source that are not meant for it results complete energy drain out and poor network performance. Overhearing means a node receives a packet not addressed to it and these overhearing transmission produces unnecessary energy consumption. Overhearing avoidance approaches are designed only for unicast messages. New approaches for avoiding overhearing for broadcast /multicast messages in a dense network environment are still an open challenge. This article presents the impact of overhearing that result in poor energy conservation in high mobility and dense networks.

  A NOVEL AND COST EFFECTIVE METHOD FOR TEXTILE DYE DEGRADATION USING SAWDUST OF PROSOPIS JULIFLORA
 

Authors: Lakshminarayanan Vijayakumar*, Sundaramurthi Pavithra, Mahendran Satheshkumar, Lakshmi Balasubramaniam Suriya Prakaash, Krishnakumar Sriram, Rajendran Yamuna, Ponnambalam Yaashikaa

 

IJAET/ Volume VII/ Issue II/ April-June'2016/166-169

 

ABSTRACT
Textile dyes being the major contaminant of fresh water reserves, a simple and cheap means of degradation of these potentially hazardous dyes is essential. Current methods involve chemicals escalating the cost of the treatment. Hence a novel method of treatment involving physical and biological method is needful. Sawdust being porous, naturally a good adsorbent, so sawdust from Prosopis juliflora, an invasive weed generally regarded as a waste was used. The adsorption profile of both treated (acid hydrolyzed) and untreated saw dust was studied using conventional method by changing various parameters such as pH, adsorbent dosage, temperature, adsorbate concentration and the optimal adsorption conditions were identified. During the treatment of saw dust through acid hydrolysis polymers such as cellulose, hemicellulose and lignin are degraded to oligomers and monomers. The sugars produced were then used as a substrate for bacteria isolated from chemical.

  SMALL SIZE LOW LOSS RF MEMS PHASE SHIFTER
 

Authors: Nataraj. B, Gayathri. M. D, Deepa. D, Arthi. G

 

IJAET/ Volume VII/ Issue II/ April-June'2016/170-172

 

ABSTRACT
This paper aims to design a MEMS DMTL type phase shifter by reducing insertion loss and line length with increase in phase shift. The distributed MEMS transmission line phase shifter has been developed using MEMS bridges on coplanar waveguide and Bilateral Interdigital coplanar waveguide. The idea is to add existent capacitances with additional capacitor in parallel. The design utilizes MEMS switches in the DMTL phase shifter to change resonance condition. Phase shift will be produced by adding MEMS Bridge on the CPW. There are 11 bridges placed periodically in the transmission line which can produce more delay producing large phase shift. By varying the height of the bridges, different levels of phase shift can be achieved using MAM capacitor. To reduce size of CPW length and to increase phase shift, BICPW technique has been introduced. By varying the height of the bridges, different levels of phase shift can be achieved; as a result the size and losses are decreased.

  A REVIEW ON ADVANCEMENTS IN ALUMINIUM MATRIX COMPOSITES
 

Authors: R. Ranjith, P.K.Giridharan, G. Suresh Kumar, N. Seenivasan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/173-176

 

ABSTRACT
In this paper, recent advancements in aluminium matrix composites have been reviewed. The potential for extensive application of cast composites is very large in India, especially in the areas of space, automobile and marine application. The extensive use of composites can lead to large savings in materials and energy. The various processes involved in the fabrication of aluminium matrix composites are summarized. The composite microstructure is subsequently discussed with respect to reinforcement distribution interfacial characteristics. Properties of AMCs can depend on the demands of different industrial applications by suitable combinations of matrix, reinforcement and processing route. This paper presents an overview of AMC material systems on aspects relating to processing and types of reinforcement.

 
INTELLIGENT SEGMENTATION & YIELD ANALYSIS OF MANGO FRUIT USING BIO-INPSIRED MHS APPROACH
 

Authors: Siva Kumar.R, Anto Kumar. R.P

 

IJAET/ Volume VII/ Issue II/ April-June'2016/177-179

 

ABSTRACT
The most time consuming manual process in fruit harvesting is the analysis of fruit state and yield analysis of different fruits like mango, apple, orange, banana and pomegranate. Locating fruits in trees made it easier for analysis and efficient fruit harvesting. An intelligent segmentation and automatic yield calculation of fruits using the Mosquito host seeking approach has been proposed in this paper. Images of the tree are acquired from real time using digital camera under different lighting conditions. Fruit images are first filtered to remove noise from environment and then fruit region is separated from its background. Then the resultant image is segmented based on the color and shape. The resultant image can be classified and used for further analysis with help of features selected through mosquito swarm approach. The images are then labeled for detection and counting of fruits. .

  ANALYSIS OF AL7075 HYBRID METAL MATRIX COMPOSITE USING TWO DIMENSIONAL MICROSTRUCTURE MODEL BASED FINITE ELEMENT METHOD
 

Authors: M. Sambathkumar, P. Navaneethakrishnan, K. Ponappa, K.S.K. Sasikumar P. Arunkumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/180-183

 

ABSTRACT
Finite element study is the most used method to simulate the post-failure behavior of the multiphase materials. This paper presents the micro scale deformation behavior of the Aluminum 7075 hybrid metal matrix composite by their two dimensional microstructure with the aid of finite element method. The aluminum 7075 alloy with Silicon Carbide (SiC) and Titanium Carbide (TiC) particles were successfully synthesized, using two step stir casting method. Microstructure model based analysis is used to overcome problems arrive in the regular geometry shaped (sphere, rectangle, cylinder) particulate Metal Matrix Composite (MMC). Microstructure model indicates morphology and distribution of the particles. Microstructure image obtained from inverted metallurgical microscope is converted into CAD (IGES) file format using computer aided serial sectioning technique. The model is analyzed in conventional finite element tool ABAQUS 6.10. By varying volume percentage of reinforcement particles in the range of 5 %, 10% and 15% the stress- strain behavior of composites are investigated. From this result the 15 vol. % (SiC and TiC) aluminum matrix composite showed the maximum strength of 1713MPa.

  ANALYTICAL STUDY ON INFLUENCE OF CONCRETE PARAMETERS ON COMPOSITE SPACE TRUSS
 

Authors: P.Sangeetha, Dr R.Senthil

 

IJAET/ Volume VII/ Issue II/ April-June'2016/184-188

 
ABSTRACT
Space structures are economical and aesthetically pleasing in appearance. They provide the right solution to accommodate large areas. They also satisfy the requirements for lightness, economy and speed construction. The major problem that a space truss facing is the brittle type of failure, caused by the successive buckling of a series of critical compression‐chord members. The present study investigates the possibility of using concrete slab acting compositely with the top chord to improve the behavior of space trusses. The concrete slab was expected to reduce the buckling problems of the top chord members, to increase the stiffness of the structure, and to induce a ductile type of failure by making the overall behavior dependent mainly on the tension characteristics of the bottom chord members. The Finite‐Element Analysis of Non Composite and Composite Truss were carried out using ABAQUS against published experimental data without profile decking sheet. The parameters that are varied in the study are type of truss (Composite & Non Composite), Slab thickness, (50 -125mm) and Strength of Concrete (M25 –M35).The analytical model is stiffer than experimental results. The overall percentage decrease in deflection is 45% for Composite Truss compared to Non Composite Truss.
  UTILIZATION OF MUNICIPAL SOLID WASTE ASH AS POZZOLANIC MATERIAL IN CEMENT MORTAR AND CONCRETE
 

Authors: M.M. Saravanan, Dr.M.Sivaraja

 

IJAET/ Volume VII/ Issue II/ April-June'2016/189-192

 

ABSTRACT
Now a days concrete is being used for many purpose in different conditions. An experimental investigation the effect of partial replacement of municipal solid waste ash in the cement mortar cubes. The w/c ratio was used as 0.55.Tests was conducted on concrete cube, cylinder, beam and mortar cubes. The results show that the increase in compressive strength of mortar containing municipal solid waste ash as a partial replacement of cement. The addition municipal solid waste ash to increase the compressive strength of mortar. Two types of municipal solid waste ash samples are there such as chemically treated and untreated ashes were used. The treated ash was used to replace fine aggregate while the untreated ash was used to replace the cement. The compressive strength was made at 7 days, & 28 days. The 7 days compressive strength of ash is slightly increased than ordinary mortar. Similarly for 28 days compressive strength of ash is slightly increased than the ordinary concrete mix.

  RESPONSE TOWARDS THE INFLUENCE OF ACID ON MODIFIED GEOPOLYMER CONCRETE
 

Authors: *S.Kavipriya& Dr.R.Ilangovan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/193-195

 

ABSTRACT
Influence of acid attack on the concrete is a very common issue. Many studies were done concentrating the performance of concrete subjected to acid attack. This study focus on the development of new type of geopolymer concrete with no cement addition and avoiding the utilization of river sand as fine aggregate. The utilization of flyash as binder and quarry dust as fine aggregate is arrived as a viable solution. Both cement concrete (CC) and geopolymer concrete (GPC) pavers were casted with varying the dosage of polymeric fibre addition (O.5, 1 & 1.5% to the volume fraction of volume of concrete) and its performance evaluation due to the effect of acid attack and response of the concrete were assessed. The test results shows that cement concrete shows a better performance when 0.5% of polypropylene fibre (PP) addition were as geopolymer concrete records a comparatively better results when 1% of PP fibres are added. The results also confirm that GPC shows a relatively better performance than CC with and without fibre addition..

  PERFORMANCE ANALYSIS OF SECURED POSITION BASED ROUTING IN MOBILE AD HOC NETWORKS
 

Authors: B. Rammyaa, Dr.K.S.Vishvaksenan, Dr.SumathiPoobal

 

IJAET/ Volume VII/ Issue II/ April-June'2016/196-200

 

ABSTRACT
Mobile Ad hoc Networks are used particularly in critical applications that lack fixed Network infrastructure. The geographical information used by routing protocols makes forwarding decision for reduced routing. But the topology based MANET protocols are vulnerable to number of attacks. As position based routing protocols concentrate on improving the performance, they fail to concentrate on the security issues. Current position based routing allows anyone within the range to receive the position information and cannot be designed for use in high risk environment. If lots of authentication techniques are implemented, the battery power of the nodes gets exhausted. Because of some special characteristics of MANETs, prevention mechanism alone is not satisfied to manage the secure network. Detection of attack and security should be focused before an attacker can damage the structure of the system.
The objective of the paper is to compare the performance of different secured position based routing protocols to find solution for secured routing.

  A FRAMEWORK FOR ASSESSING THE AWARENESS OF THE AGILE MANUFACTURING ENVIRONMENT IN INDIAN SMEs
 

Authors: Mr. T.Varun Kumar*, Dr.B.Ganesh Babu and Dr.M.Saravanan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/201-210

 

ABSTRACT
In this study, an empirical investigation on the level of agile awareness, concepts and tool/techniques in different Small and medium sized enterprises (SMEs) in India was carried out. In general, the aim of this research study is to determine and asses the level agile awareness in SMEs and to understand the importance and benefits of the agile manufacturing. Data’s from industries are collected through by questionnaire, mail and by on-line survey methods and these collected data’s were analyzed through by statistical and descriptive analysis methods. The results of the study, shows that most of the Indian SMEs are aware about the agile manufacturing concepts and need to give more credit to agility in order to cope up with the global competitive manufacturing environment. The analysis also revealed the significance and usage of agile manufacturing in the Indian SMEs are in low level and it suggests that with the use of agile models and frameworks in SMEs, would results cost effective in their quality and services and can be continuously improving the ongoing agile practices...

  REDUCTION OF HARMONICS IN ELECTRONIC BALLAST USING BUCK BOOST CONVERTER
 

Authors: M. Srinivasan, Dr. S.U. Prabha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/211-213

 

ABSTRACT
This paper based on the design and analysis of THD and power factor for Compact Fluorescent Lamp. In the proposed electronic ballast Buck Boost converter is operated in the continuous conduction mode which provides a constant dc voltage to drive the lamp .By choosing the switching frequency more than the resonant frequency the zero voltage switching is achieved in resonant inverter. The design and simulation of the proposed topology using MATLAB-Simulink for the rms value of 220 V the total harmonics distortion is reduced into 15% and the power factor is improved to 0.98.

  DYNAMIC PERFORMANCE ANALYSIS OF VECTOR CONTROLLED PV POWERED INDUCTION MOTOR DRIVE USING HYBRID FUZZY CONTROLLER

Authors: N. Rameshkumar, A.M.J. Md. Zubair Rahman

 

IJAET/ Volume VII/ Issue II/ April-June'2016/214-220

 

ABSTRACT
Hybrid fuzzy PI controller based vector control of induction motor drive is proposed in this paper. Generally, induction motor drives are widely used in many industries for adjustable speed applications. Induction motor drives are commonly selected for its simple and easy control. Vector control of an induction motor is suitable to achieve good dynamic performance. The Hybrid controller is proposed in this paper to improve the dynamic performance of the drive. The fuzzy logic controller is proposed for less computation and easy to implement. So, Hybrid fuzzy PI based vector control of induction motor drive proposed to improve static and dynamic performance of the system. In this paper, the performance of proposed controller is compared with fuzzy logic controller and PI controller based drive. The added feature in the proposed system is Photovoltaic power source. Electrical energy demand in India necessitates going for renewable energy. This paper proposes PV powered Hybrid fuzzy PI based vector controlled induction motor drive itself gets power from PV and produces a good dynamic response. This system is analyzed using Matlab / Simulink and compared with the conventional controls.

  PERFORMANCE AND EMISSION CHARACTERISTICS OF MARINE ENGINE FUELLED WITH DIESEL/JOJOBA BIODIESEL BLENDS
 

Authors: Sarala R, Sutharson B, Vignesh Murugadoss, Jothiraj P

 

IJAET/ Volume VII/ Issue II/ April-June'2016/221-225

 

ABSTRACT
The non-edible plant-based biodiesel is promising candidate for energy as well as food security and environment quality because guarantees the energy production without the food concern and runs diesel engine with reduced harmful emission. The present investigation explores the performance and emission characteristics of diesel/Jojoba biodiesel blends (diesel, B5, B10, B15) fuelled diesel engine. The fuel properties of diesel, B5, B10, B15 were measured and performance of air cooled, direct injection single cylinder diesel engine at different load conditions and fixed speed of 1500 rpm were evaluated for diesel and each blends. The result shows that the performance characteristics such as brake thermal efficiency, brake specific fuel consumption get improved with an increase in Jojoba biodiesel blend. The exhaust emissions, such as carbon monoxide (CO), oxides of nitrogen (NOx), hydrocarbon (HC), and smoke density were reduced. The Carbon-di-oxide (CO2) emission slightly increased for B5 but gets decreased for B10 and B15. It is observed that B5 blend produced better result in comparison to B10, B15 and Diesel..

  MATHEMATICAL MODELING OF FLAME QUENCHING PHENOMENA IN A CATALYTIC COATED FOUR STROKE SI ENGINE
 

Authors: Dr. P. Ponnusamy, Dr. N. Nedunchezhian, W.Edwin Santhkumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/226-231

 

ABSTRACT
Some researchers report that, the HC emission increases due to catalytic coatings in SI engine. The argument proposed by them is the catalysts deplete the air-fuel availability inside the boundary layer by activating them and when the flame reaches the boundary layer, the flame extinguishes due to lack of air-fuel mixture. To investigate the mechanism of flame quenching in a SI engine coated with catalysts, a numerical model of flame quenching phenomena is developed and the results are reported here. Boundary layer thickness and flame quenching distances are calculated. Temperature variations, concentration of species inside the boundary sublayer are also predicted. The model results show that flame quenches due to thermal loss and not by fuel depletion. It has been found that each catalyst has a particular surface temperature above which the surface catalytic reaction increases.

  EXPEDIENT STUDY ON TREATMENT OF DAIRY EFFULENT IN FLUIDIZED BED REACTOR USING IMMOBILIZED MICROALGAE
 

Authors: K. Sumithrabhai, M.Thirumarimurugan, V.M.Sivakumar*c, S.Sujatha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/231-235

 

ABSTRACT
The biodegradation of dairy effluent by anaerobic method in fluidized bed reactor using immobilized microalgae “Spirulina maxima” in a pilot-plant setup was studied. The characteristics of the Dairy waste water were examined before the treatment (blank study) and after fluidization using Spirulina Sp. to estimate the efficient performance of the FBR using immobilized Spirulina sp. as a bioflim. Some of the Parameters like Chemical Oxygen Demand (COD), Biological Oxygen Demand (BOD), Total Suspended Solids(TSS)and pH were evaluated by varying the Hydraulic Retention Time (HRT) (approximately 1hr to 3 hrs). Using the immobilized microalgae as a support material, the COD, BOD and TSS reduction and increase in pH of the dairy treated effluent were estimated to justify the fluidized bed bioreactor as an anaerobic method which uses less energy, less space for the effective biodegradation of the dairy waste effluent.

  EFFICIENT HYBRID FEATURE EXTRACTION METHODS IN WAR SCENE CLASSIFICATION USING SUPPORT VECTOR MACHINES
 

Authors: Daniel Madan Raja S, Venkatesa Kumar V and Srinitya G

 

IJAET/ Volume VII/ Issue II/ April-June'2016/236-242

 

ABSTRACT
Unmanned machine is the mechanism to assist military people in military action to attack enemies in a faster manner without the direct involvement of humans. In this research paper, we have identified the best feature extraction method for classifying war scene using Support Vector Machines, in order to take a decision by the machine itself against the enemy. For this purpose two set of image categories are taken viz., opencountry & war tank. By using the proposed hybrid method and other feature extraction methods like Haar wavelet, Daubechies (db4) wavelet, Zernike moments, Invariant moments, Co-occurrence features and Statistical moments, features are extracted from the images/scenes. The extracted features are trained and tested with Support Vector Machines (SVM) using Radial Basis kernel Function (RBF) with p=5 and Polynomial kernel function (POLY) with p= 2 &3. The comparative results are proving efficiency of the proposed hybrid feature extraction method (i.e., the combination of GLCM & Statistical moments) in war scene classification problems. It can be concluded that the proposed work significantly and directly contributes to scene classification and its new applications. The complete work is experimented in Matlab 7.6.0 using real world dataset.

  SUPER CONDUCTING MAGNETIC ENERGY STORAGE ON LOAD FREQUENCY CONTROL CONSIDERING TANDEM COMPOUND REHEAT TURBINE

Authors: P.Moniya and B.Anand

 

IJAET/ Volume VII/ Issue II/ April-June'2016/243-246

 

ABSTRACT
This paper presents an automatic generation control scheme for multi area power system using proportional integral and SMES controller. The system presents a practical model for load frequency control of two area interconnected power system. The proposed model is a nonlinear power system, which is framed with thermal generating units including security constraint governor dead band imposed by the governor and tandem compound single reheat turbine and appropriate generation rate constraint. The proportional plus integral controller is designed using Ziegler Nichols method. Super conducting magnetic energy storage (SMES) improves the transient of frequency and tie line power deviation against small load changes by favorable damping effect. Dynamic responses are obtained by giving 1% step load perturbation in either area of the system. The system simulation is realized using MATLAB/simulation software.

  INTEGRATING HETEROGENEOUS ONTOLOGIES USING FUZZY RULE BASED SYSTEMS AND BOOSTING ALGORITHM
 

Authors: Sangeetha B. Dr Vidhyapriya R. Sindhu G.

 

IJAET/ Volume VII/ Issue II/ April-June'2016/247-250

 

ABSTRACT
Due to the immense usage of Internet, the user search and browsing experience is enhanced by retrieving more relevant information. In order to increase the efficiency of retrieval of relevant information, Query Expansion technique is used. Query expansion is a process of generating semantically similar terms related to the original query terms, which is used to bridge the gap between the user query and the required information. Ontologies (OWL files) are used to find the related terms for query expansion. Ontologies are suitable for classifying and defining the concepts, relations, domain, classification rules and so forth. But OWL becomes less suitable in domains where the concepts that are to be represented have not a precise definition. During ontology integration each and every OWL file will use different vocabularies which result in uncertainity.To overcome this uncertainty and retrieve the similarity between concepts in different ontology, fuzzy logic and fuzzy rules are used. To calculate the similarity between two concepts from two different ontologies, two different similarity measures are used. First, to calculate the structural similarity between two concepts from two different ontologies, Path based similarity (Wu & Palmer) measure is used. Secondly, to calculate the semantic similarity between two concepts from two different ontologies, Linguistic similarity measure is used. Finally, the similarity is calculated through fuzzy rules. The results obtained from the fuzzy system are further optimized using Boosting Algorithm like AdaBoost and RankBoost Algorithms. Finally, the results obtained from the Fuzzy System, AdaBoost algorithm and RankBoost algorithms are compared. Based on the experiments carried out RankBoost Algorithm retrieves more accurate results when compared to AdaBoost Algorithm and Fuzzy System. The Proposed methodology is tested with both user-defined dataset as well as benchmark dataset from OAEI. This method of query expansion has a wider scope in knowledge searches, Natural Language Processing etc..

  IMPACTS OF LEAN TOOLS AND TECHNIQUES FOR IMPROVING MANUFACTURING PERFORMANCE IN GARMENT MANUFACTURING SCENARIO: A CASE STUDY
 

Authors: G. Vijayakumar, Y. Robinson

 

IJAET/ Volume VII/ Issue II/ April-June'2016/251-260

 

ABSTRACT
The study has been conducted after studying for one year at garment industry in Tirupur. The lot of the garment industry can maximize their profit by reducing major types of waste by implementation of lean tools and techniques. This research concentrated the application of lean concepts to the bulk manufacturing sector with a focus on garment firms and several lean tools & techniques have been applied in the garments. Main theme of this paper has identifications of significant problems related to lean waste occurs in garments have been measured using specific lean tools and techniques. The research methodology concentrates the implementation of DMAIC and cause and effective diagram are used for eliminating garment defectives and 5S Concepts for reducing defects and motion. 5S Concepts was adopted and initiated with appointing of 5S committee members and trained them by implementation of 5S concepts in garment firms. An initial audit has been conducted and recorded, after training. At Same time, this paper concluding some suggestion about garments firms for improving manufacturing performance of the garments by using lean tools and techniques.

  IMPROVEMENT ON THE MECHANICAL PROPERTIES OF MADAR FIBER REINFORCED POLYESTER COMPOSITES
 

Authors:P.Ganeshan, K.Raja

 

IJAET/ Volume VII/ Issue II/ April-June'2016/261-264

 

ABSTRACT
In this investigation deals with the effect of the addition of the industrial waste such as red mud (Bauxite residue) into natural fiber reinforced unsaturated polyester is studied. During the production of aluminium from the bauxite the red mud is produced in the form of industrial waste. The fabrications of composites are prepared with madar fiber / reinforced unsaturated polyester and red mud is filled into the composite by using compression molding process. As per the ASTM Standards, the mechanical properties such as tensile, flexural, impact were conducted. In this study the by the addition of the red mud the experimental results exhibit the significant increase in the mechanical properties of the madar fiber polyester composites.

  CFD ANALYSIS FOR HOMOGENOUS EFFECT OF BIOGAS AND AIR IN THE INTAKE MANIFOLD OF DUAL FUEL CI ENGINE
 

Authors:D.Palaniswamy, G.Ramesh, S.Sivasankaran, K.Sooryaprakash

 

IJAET/ Volume VII/ Issue II/ April-June'2016/265-269

 

ABSTRACT
In this laboratory research, biogas was produced by the anaerobic digestion of solid phase system using kitchen food solid waste. The biogas was carried out in a single cylinder diesel engine with supercharger under dual fuel mode. The experimental study was conducted by inducting biogas with air in the intake manifold, at four different pressures. The gas injector is mounted beyond the critical point; the injected gas fuel is not reaching completely into the engine cylinder during suction stroke, that may result to power drop and high chance of backfiring due to the gas accumulation [1].The computational fluid dynamics (CFD) software is used to investigate the optimum distance and angle for better mixing of biogas with air at intake manifold. The results indicated that the biogas introduced at 2 bar pressure at 45˚ injector angle and a distance of 336 mm from the axis of the inlet valve was found to a better mixture. Based on the experimental results, it was observed that the 50% of blended biogas with a supercharged system produces an improved mechanical efficiency of 25% than the natural aspiration system. Further, the result shows a low value of CO emission for a supercharged system when compared to natural aspiration system. .

  DISCRETE WAVELET TRANSFORM BASED DETECTION OF BREAST CANCER AND ITS CLASSIFICATION USING NEURAL NETWORKS
 

Authors:Dr. Usha Bhanu.N*, Dr. A.Chilambuchelvan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/269-272

 

ABSTRACT
Digital Mammography is standard procedure for breast cancer diagnosis. The existing feature extraction from digital mammograms includes Position, Shape and Texture characteristics of abnormal tumour cells. These features are extracted by using image processing techniques to detect tumours in mammography images. Extracted Texture features have proven to be useful in differentiating normal and abnormal cells and provide information about textural Characteristics of the image. Wavelet transform is used to calculate the mean and standard deviation of tumour cells. Neural network concepts are used to classify the extracted data base into normal or abnormal datasets. The detection of tumour cells in frequency domain is simulated using Matlab. The multilayer neural network is used to classify the normal and abnormal cells is done using Weka tool.

  SYNTHESIS, STRUCTURAL, MORPHOLOGICAL AND OPTICAL PROPERTIES OF Cu2+ DOPED Cr2O3 NANOPARTICLES
 

Authors:K. Mohanapandian and A. Krishnan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/273-279

  ABSTRACT
Pure and copper (Cu) doped chromium(III) oxide (Cr2O3) nanoparticles have been prepared by simple solvothermal microwave irradiation (SMI) technique. SMI technique is simple and low cost; it has the potential to be produced on a large scale. The effect of dopant (Cu) concentration on the structural behavior of Cr2O3 nanoparticles was examined by X-ray diffraction. The average crystallite size of the synthesized nanoparticles was measured from XRD patterns using Scherrer equation and was decreased from ~15 nm to ~10 nm with the increasing Cu concentration in Cr2O3 from 0 to 10.0 mole% (in steps of 2.5). Almost uniform and spherical-like morphologies and compositional elements of the synthesized nanoparticles were observed by the field emission scanning electron microscopy (FESEM) and energy dispersive X-ray (EDX) spectroscopy, respectively. This is confirmed by TEM images, which reveal uniform spherical particles of sizes ~25 nm for 0.1 M Cu doped Cr2O3. The optical property of the samples was measured by ultraviolet - visible (UV-Vis.) absorption spectroscopy. The observed optical band gap value ranges from 3.164 eV to 3.585 eV was highly blue shifted in comparison with that of the bulk Cr2O3 (~3.3 eV). This indicated that the synthesized samples are being attributed to the enhancement of the quantum confinement effect. The broad visible emission centered at ~640 nm, in the photoluminescence spectroscopy revealed the high purity and perfect crystallinity of the samples.
  DESIGN AND INVESTIGATION OF GRID CONNECTED CURRENT SOURCE INVERTER FOR PHOTOVOLTAIC SYSTEM
 

Authors:K.K.Saravanan, Dr. N. Stalin, Dr.T.SreeRenga Raja

 

IJAET/ Volume VII/ Issue II/ April-June'2016/280-284

 
ABSTRACT
A high efficiency and operating life of grid feeding solar photovoltaic (PV) inverters are demanded. Because of reduced dc-link capacitor requirement, current source inverter (CSI) offers higher reliability than the voltage source based solar inverter. Nonetheless, conventional three-phase pulse width modulated (PWM) current source based solar inverter injects high earth leakage current into the grid. In order to suppress this current, an isolation transformer can be used. Use of this transformer increases the cost and size, and decreases overall efficiency. To address the previously stated impediments, a modified CSI is proposed in this paper. The proposed inverter suppresses the earth leakage current without using an isolation transformer, thereby increasing the efficiency and reducing cost as compared to conventional current source based solar inverters. A mathematical model of the system is derived based on which controller for the operation of the inverter is designed. The viability of the plan is verified through detailed simulation study.
  INVESTIGATION ON POWER OPTIMIZATION IN COOPERATIVE WIRELESS NETWORK LOCALIZATION
 

Authors:A.Mani Muthu Raja, C.Annadurai

 

IJAET/ Volume VII/ Issue II/ April-June'2016/285-289

 

ABSTRACT
Enhancement of localization services is an assured additional concept other than increasing mobile data throughput in communication among devices. However in these areas transmitting power allocation is one of the biggest challenges in determining localization accuracy. We aim to develop distributed power allocation strategies and establish to make the best use of framework for complete power allocation. This strategy is shown to have more localization accuracy than the uniformed strategies. The current era is the digital era. With the increase in the technological aspects of the communication devices it becomes more and more important to make localization of mobile and other communication devices more accurate. Wireless networks have been used in the active localization as they provide information accurately in environments challenged by GPS. This has been achieved by using range-based techniques which uses the distance and also the angle measurements from wireless signals. This results in a set of new tools that improve communication capacity, speed, and performance. The power consumption of the nodes are reduced and thereby improving the battery life and increasing the throughput. Hence the lifetime of the network is been extended. The strategies achieve considerable performance enhancement in comparison with the uniform strategies in terms of localization accuracy as seen in the simulation results..

  GRAPH AND SINR BASED INTERFERENCE MODELING AND ROUTING IN MANET
 

Authors:Balamurugan.N.M, Appavu Alias Balamurugan.S

IJAET/ Volume VII/ Issue II/ April-June'2016/290-294

 

ABSTRACT
Interference is a basic issue in wireless communication as it results in packet delay, retransmission and packet loss. By providing interference awareness to important functions such as routing helps in the enhancement of overall network performance as it avoids packet loss. Most of the existing systems capture the interference effects by active probing ie., measuring the effects of interference by periodically sending small active probe packets over the network. Hence, it causes additional overhead in the network and the link quality is perverted due to their interaction with other networking functions. To overcome this, an analytical model is designed to measure the interference effects on data delivery probability based on the passive measurement ie., information which is locally available at the node works similar to active probing. In the proposed work, the interference is modeled using interference graph method and physical interference model is used to arrive with an optimal routing metric based on the information locally available at the node and to incorporate in the routing protocol. Thus, the path with less or no interference is selected for routing.

  CO-GASIFICATION OF RICE HUSK AND COIR PITH IN FLUIDIZED BED: AN EXPERIMENTAL STUDY
 

Authors:V.Chokkalingam, K.Murugu Mohan Kumar,G. Jaya Prakash

 

IJAET/ Volume VII/ Issue II/ April-June'2016/295-301

 

ABSTRACT
Co-gasification of rice husk and coir pith at 1:1 weight ratio was performed in a lab-scale circulating fluidized bed reactor with the help of air as the gasifying medium. Experiments were conducted at temperatures of (700°C, 750°C, 800°C, 850°C, 900°C, 950°C, 1000°C, 1050°C and 1100°C) and the equivalence ratios (ER) ( 0.2, 0.25, 0.3, 0.35 and 0.4) in order to evaluate gasification performance of gas composition, gas heating value, gas yield, carbon conversion efficiency and cold gas efficiency. The results showed CO, CO2 and H2 as the main gasification products. The maximum CO yield of 38.28% and H2 yield of 26.51% and a maximum heating value of 7.64 MJ/kg were achieved at 1100°C for the ER of 0.2. Increasing temperature resulted in increased cold gas efficiency, gas heating value and carbon conversion efficiency whereas increase in the equivalence ratio decreased these parameters. The study shows that the gasification performance for blended biomass is similar to that of their individual gasification characteristics reported in the literature.

  EFFECT OF DIFFERENT CROSS-SECTIONS OF SINGLE FLOW CHANNEL ON THE PERFORMANCE OF PEM FUEL CELL
 

Authors:M. Muthukumar*, P. Karthikeyan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/302-305

 

ABSTRACT
The various operating parameters and geometric properties are greatly influencing the performance of the Proton Exchange Membrane (PEM) fuel cell. The objective of this paper is to find the flow channel design which gives the better performance of PEM fuel cell. The single channelled, counter flow PEM fuel cell with different types of flow channel geometries like rectangle, trapezoidal, triangle, and semicircular shapes have been modelled using Gambit software package and they have been analysed using Fluent software package. The results show that the PEM fuel cell with triangular and semicircular shaped channels gives the better power density values than the rectangle and trapezoidal shapes at the cell potential of 0.6 V and above. The PEM fuel cell with rectangle flow channel gives better performance at the cell potential of 0.55 V or less. The optimum cell potential for getting maximum power density from the PEM fuel cell for all types of channel cross-sections have also been found from this analysis.

  NUMERICAL AND EXPERIMENTAL INVESTIGATION OF TRANSIENT THERMAL BEHAVIOUR ON SOLAR PHOTOVOLTAIC THERMAL (PV/T) HYBRID SYSTEM
 

Authors:R. Senthil Kumar, N. Puja Priyadharshini and E. Natarajan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/306-310

 

ABSTRACT
In this paper, a comprehensive numerical model is developed and simulated using computational fluid dynamics (CFD) technique so as to analyse the heat transfer and temperature distribution on each layer of the forced air cooled solar PV/T system under transient conditions. The numerical model comprises of bottom air cooling layer and diverse layers of solar panel such as glass, EVA, PV cell and tedlar. The discrete ordinates (DO) model is employed to apply the solar load in the numerical computation. The experiment is conducted on clear sunny days of Year 2015 and the tentatively measured temperatures are contrasted with the temperatures determined by the simulation studies and comparative graphs are plotted. The root mean square and R-squared values are obtained for top glass, PV cell, tedlar and outlet air temperatures and found that the simulated temperatures are in good agreement with the experimental results.

  NUMERICAL AND EXPERIMENTAL INVESTIGATION OF TRANSIENT THERMAL BEHAVIOUR ON SOLAR PHOTOVOLTAIC THERMAL (PV/T) HYBRID SYSTEM
 

Authors:R. Senthil Kumar, N. Puja Priyadharshini and E. Natarajan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/306-310

 

ABSTRACT
In this paper, a comprehensive numerical model is developed and simulated using computational fluid dynamics (CFD) technique so as to analyse the heat transfer and temperature distribution on each layer of the forced air cooled solar PV/T system under transient conditions. The numerical model comprises of bottom air cooling layer and diverse layers of solar panel such as glass, EVA, PV cell and tedlar. The discrete ordinates (DO) model is employed to apply the solar load in the numerical computation. The experiment is conducted on clear sunny days of Year 2015 and the tentatively measured temperatures are contrasted with the temperatures determined by the simulation studies and comparative graphs are plotted. The root mean square and R-squared values are obtained for top glass, PV cell, tedlar and outlet air temperatures and found that the simulated temperatures are in good agreement with the experimental results.

  SECURE DATA FORWARDING AND DEPENDABLE STORAGE SERVICES IN CLOUD ENVIRONMENT
 

Authors:Ananth J.P, Rekha.M, SwarnaLakshmi.P

 

IJAET/ Volume VII/ Issue II/ April-June'2016/311-314

 

ABSTRACT
Cloud computing is the long dreamed vision of computing as a utility, where data owners can remotely store their data in the cloud to enjoy on-demand high-quality applications and services. Secured data storage and retrieval is challenging when the storage system is distributed and has no central authority. In order to provide strong confidentiality for messages in storage servers, a user can encrypt messages by a cryptographic and then applying an erasure code method to encode and store messages. A secure cloud storage system not only supports the function of secure data storage and retrieval but also supports data forwarding to another user by the storage server directly under the command of the data owner by using a threshold proxy re-encryption scheme. On the other hand, A new security risk is developed towards accuracy of data in cloud i.e., the client’s outsourced data is securely stored by the storage server or not. To address these issues, we propose an auditing mechanism which ensures the integrity of distributed uploaded data by using the Homomorphic Token. The Homomorphic Tokens attain fast data error localization i.e., the misbehaving server are identified using challenge and response authentication. Once identified, the Erasure Correction Code is executed to retrieve the lost or modified data blocks from the storage servers.

  OPTIMIZATION OF SLIDING WEAR PARAMETERS OF GRAPHITE REINFORCED AA 6061- Al2O3 HYBRID COMPOSITE FOR AEROSPACE APPLICATION
 

Authors:Arravind R*, Saravanan M,Vettivel S C and Bensam Raj J

 

IJAET/ Volume VII/ Issue II/ April-June'2016/315-320

 

ABSTRACT
This paper aims to optimize the wear and friction parameter of Al6061- Al2O3-Gr hybrid composites using liquid metallurgy method. The dry sliding wear test was performed using pin-on-disc equipment under atmospheric conditions, with the varying parameters of the applied load (10 -20 N) and Sliding distance (1000 -3000 m) and the sliding velocity is kept constant of 1.41 m/s. The optimum parameters of wear and friction were identified using Response Surface Methodology and some useful conclusions were made.

  WEAR BEHAVIOR OF SiO2 PARTICULATE REINFORCED AA 6063 SURFACE COMPOSITES USING FRICTION STIR PROCESSING
 

Authors:S. Joyson Abraham, S. Chandra Rao Madane, S. C. Vettivel

 

IJAET/ Volume VII/ Issue II/ April-June'2016/321-325

 

ABSTRACT
Friction Stir Processing (FSP) is one of the solid state methods to fabricate the homogeneous composite. In this paper is to apply FSP technique to fabricate Silicon dioxide (SiO2) particulate reinforced Aluminum Alloy 6063 (AA 6063) composites. The dimensions of the groove is varied to result in three different volume fractions of SiO2 particles (0, 5 & 10 vol. %). The various travel speed of 40 mm/min with a single pass FSP is done using a tool rotational speed of 800 rpm. Wear test is conducted using the pin on wear tester. The effects of SiO2 particle on the tribological and surface behavior of AA 6063 composites are discussed. The Scanning Electron Microscope and surface profiles are used for the worn surface study, wear depth profiles were used for roughness of the worn surfaces and some useful conclusions were attained.

  REACTION OF DEVELOPED SOLAR DRYER ON AMLA
 

Authors:G.Padmanaban*, Dr.P.k.Palani, Dr.S.Dharmalingam

 

IJAET/ Volume VII/ Issue II/ April-June'2016/326-328

 

ABSTRACT
A laboratory scale forced convection based solar dryer was designed & developed for drying Amla under the climatic condition of Coimbatore region , Tamil Nadu , India. The Solar dryer consists of a box type absorber & a drying chamber fitted with one blower. The north face of the dryer was kept insulated, and having door to load and unload material in trays. The experimental results show that reduction of drying time of amla was nearly 79% in comparison to open sun drying. The average time required to dry 1 kg amla from moisture content of 80% to 10.06% on wet basis was found to be 36 hours whereas in open sun drying it takes 7 days to achieve the same drying rate

  AUTOMATIC SEAT BELT FOR PASSENGER VEHICLE
 

Authors:R.Prakash, R.Prakash, K.SaiKrishna, C.Sathishkumar, S.Vivekanandan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/329-334

 

ABSTRACT
The system consists of a ring gear setup which lies below the seat. The seat belt is mounted on the ring gear which is meshed with a pinion driven by a motor. Provisions are made to adjust the ring gear setup based on the position of the buckle which can be altered according to the convenience of the passenger. The ring gear is designed to follow maximum possible projectile to accommodate passengers of different size. Once the passenger occupies the seat, the motor is switched on in the forward direction. The belt is carried by the curved ring gear and locked with the buckle. Once the seat belt is locked with the buckle, the motor runs in the backward direction till the ring gear is brought back to its initial position. In the existing scenario of automatic seat belts, belts are attached to doors. A crash that causes the doors to open leaves the passenger unprotected. The foremost advantage of this type of automatic seat belt is that it is attached to a sturdier portion i.e. frame of the car instead of doors.

  ENHANCED ACCURACY AND RAPID FAULT RATE DETECTION OF DYNAMIC NODES IN WIRELESS SENSOR NETWORKS
 

Authors:Dr.M. Senthil Kumar, Dr.B. Chidambara Rajan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/335-337

 

ABSTRACT
This paper depicts about Distributed Bayesian Algorithm (DBA) that is used for data fault detection to list the issues of faulty nodes in WSN and RS-SVM that is used to increase the accuracy of faulty node detection. Even though many methods have already been proposed to detect the data fault, the diagnosis accuracy is very low in situations where there is more number of nodes deployed in then WSN. The DBA is used to calculate the fault probability to avoid the negative impact in large number of faulty nodes. The methods like Rough Set theory (RS) and Support Vector Machine (SVM) collects various symptoms of faulty node and integrates them and then diagnose the faulty nodes. The RS theory is used to select the decision making attributes for constituting a new data set. This data set will train the SVM and the result will increase the accuracy and efficiency in fault diagnosis.

  AN AUTOMATED SIZE BASED ESTIMATION TOOL FOR SOFTWARE EFFORT ESTIMATION WITH RUN TIME QUALITY ATTRIBUTES
 

Authors:Dr.M. Senthil Kumar, Dr.B. Chidambara Rajan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/338-342

 

ABSTRACT
Today, Computer rules the world. Each and every sector needs software products to do the work effectively and quickly. So the software companies are now interested in providing automated software tool with respect to accuracy and security of their products. Therefore, there is a need to develop an automated tool which provides all expected properties. This paper attempts to propose an automated tool which includes quality metrics and enhanced privacy factors with the existing method. Initially, this method utilized a trapezoidal fuzzy membership set to control the ambiguity in the requirement inputs. Secondly, the function point method is enhanced by the privacy and reliability factors in the calculation. Finally, based on the questionnaire survey, the quality metrics are identified and added with the effort estimation for accuracy. The experimentation is done with past project data sets on the automated tool and the results are compared with the existing methods. The performance evaluations are also done by using global metrics like MRE, MdMRE, PRED. It shows that the proposed tool is high in accuracy and privacy of the product compared to existing tools.

  MATERIAL SELECTION FOR AUTOMOBILE TORSION BAR USING FUZZY TOPSIS TOOL
 

Authors:V.S. Chandrasekar, Dr.K.Raja

 

IJAET/ Volume VII/ Issue II/ April-June'2016/343-349

 

ABSTRACT
Automotive components made from composite materials can result in significant weight savings over steel and aluminum. The main purpose of this article is to study about the selection of suitable composite material for automobile torsion bar which possess good strength to weight ratio and yield considerable weight savings. The conventional approaches to material selection problem tend to be less effective in dealing with the imprecise or vague nature of the linguistic assessment. Under many situations, the values of the qualitative criteria are often imprecisely defined for the decision-makers. To overcome this difficulty, fuzzy multi-criteria decision-making methods are proposed. In this paper, we present a multi-criteria decision making approach for selecting composite material under partial or incomplete information (uncertainty).The proposed approach involves identification of potential composite materials, selection of evaluation criteria, use of fuzzy theory to quantify criteria values under uncertainty and application of fuzzy TOPSIS to evaluate and select the best material for replacing conventional steel material used in making automobile torsion bar. The strength of the proposed work is the ability to deal with uncertainty arising due to a lack of real data in material selection for replacing the conventional material used in torsion bar. A numerical application is provided to illustrate the approach. .

  GPS BASED LINK ESTIMATION TIME FOR VANET URBAN ROUTING
 

Authors:Karthikeyan.L, Selvakumar.S

 

IJAET/ Volume VII/ Issue II/ April-June'2016/350-354

  ABSTRACT
In this paper, we propose GPS based LET for urban area routing in VANET. Our main objective is to propose a quality routing in urban area road environment. The main attribute of calculating Link estimation time is speed and distance between vehicles. In this method, we use GPS to get latitude and longitude information. It is one of the attribute to use in Link estimation time with speed. To this end, we simulate proposed method with existing method, (i.e.) prediction based Link estimation Time and cross layer based Link estimation time. A comparison study has been done with three Link estimation Time. The simulation result study has been performed and the results show that GPS LET can substantially increase the delivery ratio and delay remarkably.
  INVESTIGATIONS ON THE MECHANICAL PROPERTIES OF COCONUT AND SISAL FIBER COMPOSITES FOR STRUCTURAL APPLICATIONS
 

Authors:J.B.Sajin, R.Sivasubramanian

 

IJAET/ Volume VII/ Issue II/ April-June'2016/355-357

 
ABSTRACT
This work addresses the tensile, impact, and free vibration properties of sisal/coconut fiber hybrid-reinforced unsaturated polyester composites. The hybrid composites are fabricated using a doctor blade technique with varying compositions under as-received or chemically treated conditions. The chemical treatments (alkali and trichlorovinyl silane) have shown better performance than untreated composites. Furthermore, the silane-treated composite shows enhanced static mechanical. From the experimental results, the silane-treated coconut fiber /sisal hybrid is found to be an optimum composition for better properties. The failure mechanism of interfacial de-bonding between the fibers and the matrix is analyzed with the aid of scanning electron microscopy..
  GROWTH AND CHARACTERIZATION OF TITANIUM NANOTUBES ANODE FOR SOLAR CELL APPLICATION BY ELECTROCHEMICAL ANODIZATION METHOD
 

Authors:T. Balasundaram*, Dr K. Raja

 

IJAET/ Volume VII/ Issue II/ April-June'2016/359-363

 

ABSTRACT
TiO2 is recognized as one of the most needed material for its extensive scope of industrial applications. In this work, the development of TiO2 nanotube arrays by using unproblematic and low-cost electrochemical anodizing method of a titanium thin film foil had been presented. The vertically tailored TiO2 nanotube arrays had been made in an electrolyte solution of 0.44 wt % NH4F salt, 4 vol.% DI water and ethylene glycol at a constant DC voltage of 60V for 1 hour for the first sample and 75V for 45 minutes for a second sample. The UV absorbance ability, crystallinity and surface morphology of fabricated nanotube arrays were investigated by UV-vis Spectroscopy, XRD and HRSEM. XRD measurement revealed the anatase phase of TiO2 nanotube arrays and found neat matching with others investigated works. HRSEM measurement revealed comfortably aligned formation of nanotube arrays at 60V is 108.35 nm of mean diameter and nanotube arrays at 75V is 157.5 nm of mean diameter. Formation of titanium nanotube arrays at 60V has 4.177µm of mean length and nanotube arrays at 75V has 17.02µm of length. The first sample of nanotube arrays fabricated at 60V condition had showed maximum absorbance ability at wavelengths around 300 nm to 572 nm than, the second sample of nanotube arrays fabricated at 75V condition had showed maximum absorbance ability at wavelengths around 300 nm to 545 nm.

  SAR IMAGE DESPECKLING USING BANDELET TRANSFORM WITH FIREFLY ALGORITHM
 

Authors:K.M.Savithri, G.Kousalya

 

IJAET/ Volume VII/ Issue II/ April-June'2016/364-370

 

ABSTRACT
Removal of noise from image is often the first step in image processing and remains a challenging problem inspite of the sophistication of recent research. Among all noise, speckle noise existing in Satellite images, Medical images and Synthetic Aperture Radar (SAR) images is definitely to be removed since the details of the image are corrupted. The analysis of despeckling SAR image based on Bandelet transform with Firefly Algorithm (FA) is carried out in this paper. The transform domain despeckling is preferably adapted because of its improved efficiency. It begins with shrinking and stretching the Bandelet co-efficients of the coherent SAR image, the quality improved image with feature enhancement is integrated. Then to get the best oriented quality parameter of the despeckled image, an evolutionary computation technique FA is applied. The procedure is continued using fundamental Wavelet transform with FA and the results are compared for the conclusion to get the best despeckled image.

  EFFORT ESTIMATION FOR BIOMEDICAL PROJECTS FROM REQUIREMENTS DOCUMENT AND COST DRIVER FACTORS USING FUZZY LOGIC
 

Authors:Ms. B. Arthi, Dr. A. Grace Selvarani and Ms. A. Sathya

 

IJAET/ Volume VII/ Issue II/ April-June'2016/371-374

 

ABSTRACT
Biomedical engineering is one of the promising fields that bridge the gap between engineering and medicine. Estimating the development effort required for biomedical projects is one of the challenging task in the software industry. It cannot be evaluated with the same set of attributes that are used for generic projects. One of the best methodologies to estimate the software development effort is through the software complexity. The software complexity measure should include the attributes specific to biomedical projects, which has not been included in the existing metrics. The main objective of this paper is to develop a framework to evaluate the development effort exclusively for biomedical projects. This framework unlike the existing techniques estimates complexity from requirements factors, cost driver factors and biomedical factors. The estimated development effort is analyzed with fuzzy logic to produce accurate results. The result is validated by comparing the proposed estimate with the existing methodology.

  AN INVESTIGATION TO IMPROVE THE PERFORMANCE OF PORTABLE INTELLIGENT SYSTEM IN A DISTRIBUTED NETWORK
 

Authors:Ganesh Kumar Nithyanandam, Radhakrishnan Pezhinkattil

 

IJAET/ Volume VII/ Issue II/ April-June'2016/375-380

 

ABSTRACT
A low cost adaptive control system called Portable Intelligent System (PIS) was designed to improve the machining accuracy by reducing the dimensional variations in a component being machined in a CNC milling machine. This system can be mounted as an auxiliary device on an existing CNC machine. The PIS consists of portable modular fixture (PMF), laser detection system (LDS) and adaptive control system (ADS). The workpiece which need to be machined is mounted on the PMF. The LDS is used to collect real-time machining data. The ADS uses real-time machining data and determine the dimensional variations from engineering specification (called as delta). Based on the delta value, ADS makes the decision to reduce the dimensional variations via PMF. The decision making algorithm used in the system is feed forward back propagation neural network. The initial design of PIS uses default ANN parameters to monitor and control the dimensional variations found in the component. This paper aims to further investigate and improve the performance of the ADS to six sigma quality level. In addition, an attempt was made to implement the PIS solution in a distributed manufacturing network. From the study, it was concluded that optimum ANN parameters helped to improve the performance of PIS, thus able to improve the machining capability closer to six sigma quality level. In addition, a framework was developed to deploy the PIS solution in a distributed network. In other words, this type of technology can be implemented in one part of the world and the machining can be controlled in the other part of the work at fraction of cost. .

  REMOVAL OF BASIC DYE (METHYLENE BLUE) USING LOW COST BIOSORBENT: WATER HYACINTH
 

Authors:Dr.K.Murali*, Dr.R.N.Uma

 

IJAET/ Volume VII/ Issue II/ April-June'2016/386-391

 

ABSTRACT
In this paper, we propose GPS based LET for urban area routing in VANET. Our main objective is to propose a quality routing in urban area road environment. The main attribute of calculating Link estimation time is speed and distance between vehicles. In this method, we use GPS to get latitude and longitude information. It is one of the attribute to use in Link estimation time with speed. To this end, we simulate proposed method with existing method, (i.e.) prediction based Link estimation Time and cross layer based Link estimation time. A comparison study has been done with three Link estimation Time. The simulation result study has been performed and the results show that GPS LET can substantially increase the delivery ratio and delay remarkably.

  COMPARISON OF ASYMMETRICAL TRINARY DC SOURCE CASCADED MULTILEVEL INVERTER WITH CARRIER OVERLAPPING AND NON CARRIER OVER LAPPING PWM TECHNIQUES
 

Authors:Periyaazhagar, G.Irusapparajan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/392-400

 

ABSTRACT
This paper represents the comparison of carrier over lapping and non-carrier over lapping PWM technique for the choice of trinary DC source 3ɸ cascaded multilevel inverters. In this paper, asymmetrical trinary DC source 3ɸ cascaded multilevel inverter topologies with a multi conversion cell consists of two dissimilar input DC voltage sources, it produce nine level output voltages at output point. Simulation results are performed by using a MATLAB/SIMULINK. It indicates that alternate phase opposition disposition PWM technique provides greater output voltage and minimum harmonic distortion for all PWM techniques. It is also observed that the carrier overlapping phase disposition PWM technique it provides relatively greater fundamental RMS output voltage for all PWM techniques.

  VERTEX EDGE DOMINATION IN OPERATIONS OF FUZZY GRAPHS
 

Authors:N. Vinoth kumar and G.Geetharamani

 

IJAET/ Volume VII/ Issue II/ April-June'2016/402-404

 

ABSTRACT
Let G(V,E) be the fuzzy graph. A set is said to be a vertex-edge dominating set if for all edges . There exists a vertex , such that v dominates e. the vertex-edge domination number of G (V, E) is the minimum fuzzy cardinality over all the vertex-edge dominating sets in G(V, E). We note that is defined for fuzzy graph G (V, E) with no isolated edges. In this paper we discuss some characteristics of vertex-edge dominating set on operations on fuzzy graphs and note some applications of vertex edge dominating set.

LOW POWER AND AREA EFFICIENT MULTIPLIER-ACCUMULATOR UNIT FOR FIR FILTER
 

Authors:Dr. M. Jayaprakash, Dr. V. V. Karthikeyan, M. Peermohamed

 

IJAET/ Volume VII/ Issue II/ April-June'2016/405-410

 

ABSTRACT
In the research field, the amplify demand of portable devices formulate Low power device design. Among the integrated circuits, Power dissipation is one of the primary design objectives, after speed. In VLSI system design, Design of low area, delay and power forms the foremost systems. These three strictures i.e. power, area and speed are always traded off. Though, area and speed are typically conflicting constraints, so that improving speed results mostly in larger areas. In microprocessors, digital signal processors, and data-processing application-specific integrated circuits, addition and multiplication of two binary numbers are the basic and most recurrently used arithmetic operation. Accumulator unit addition and multiplication forms the main blocks in Multiplier. The applications of digital signal processing like Fast Fourier Transform, Finite Impulse Response filters, convolution etc, a high speed and low power MAC units are necessitated. In MAC unit, area and speed are the most significant aspects, but occasionally, increasing speed also boosts the power consumption, accordingly there is an upper bound of speed for specified power criteria. As the various filter designs found in the Digital Signal Processing applications, entail computationally efficient multiply and Accumulate operations, thus the blocks with the desired traits have to be chosen carefully. To design and analysis various adder and multiplication ideas for high-speed, area efficient and low power operation Multiplier – Accumulator unit is the main intent of this paper. In Verilog, all Adders and Multipliers are depicted and synthesized using Xilinx Spartan-3E trainer kit and subsequently the 8-tap FIR filter is executed with the proposed MAC unit using Virtex-4 FPGA board. The Virtex-4 board is utilized while it has plentiful DSP slices..

SENTIMENT CLASSIFICATION USING SVM AND PSO
 

Authors:*Dr. Nirmala Devi K and Dr. Jayanthi. P

 

IJAET/ Volume VII/ Issue II/ April-June'2016/411-413

 

ABSTRACT
The growth of social network contributes huge quantity of user generated content like client reviews, comments and opinions. While this content will be helpful for decision making and analyzing this bulk of user generated content is difficult as well as time consuming. So there is a necessity to develop an intelligent system that automatically mine such vast content and classify them into positive and negative class. Sentiment analysis is useful in social media monitoring to automatically characterize the overall feeling or mood of consumers as reflected toward a specific brand or company and determine whether they are viewed positively or negatively on the web. This new kind of analysis has been widely addressed in customer relation management especially in the context of complaint management. For automating the task of classifying a single topic textual review, document-level sentiment classification is used. The document level classification approximately classifies the sentiment using SVM algorithm. The proposed SVM-PSO method obtains better result than the SVM on the benchmark dataset of Movies reviews dataset.

  BIOMETRIC RECOGNITION USING DORSAL AND PALM VEIN IMAGES
 

Authors:*S.Bharathi and R.Sudhakar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/415-419

 

ABSTRACT
Multi-modal biometric recognition has received wide applicability in the practical world for various authentication purposes. Here, the choice of right modality is an important consideration because the modality should posses the better security even the impostor is tried to match and also, the processing complexity of the biometric images are less. With the consideration of all these constraints, we have chosen vein-based multi-modal biometric recognition that can provide better security along with the uniqueness. Here, palm and dorsal hand vein images are used for recognition purpose. Initially, both the input images are given to the preprocessing stage to make the images suitable for vein extraction. Then, optimal threshold is identified to extract veins from both the images. Then, the feature level fusion is used to combine both the images and it is stored in the database. For recognition phase, test images are matched with the features stored in the database using distance measure. Finally, the experimentation is carried out using the standard database to validate the performance of the multi-modal biometric recognition.

   
   
   
   
  OPTIMUM POWER ALLOCATION OVER FADING CHANNELS IN COGNITIVE RADIO MIMO NETWORKS
 

Authors:*K. Malarvizhi and Dr. K. Kathiravan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/434-438

 

ABSTRACT
A cognitive radio (CR) is a transceiver which automatically detects the available unused channels in the wireless spectrum. A cognitive radio network (CRN) is formed by either allowing the secondary users (SUs) to coexist with the primary users (PUs) or enabling the SUs to use the unoccupied portion of the spectrum. In this paper, the ergodic capacity maximization problem is studied in Rayleigh, Nakagami and Rician fading channels with Multiple Input and Multiple Output (MIMO) technique and the optimum power allocation is realized to achieve the ergodic capacity. This study includes the Symbol Error Rate (SER) performance analysis with respect to various Space Time Block Codes (STBC) such as Alamouti code, V-Blast code, Silver code, Golden code for all the three fading channels. The various modulation schemes used in this analysis are Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), Quadrature Amplitude Modulation (QAM) and Multiple Frequency Shift Keying (MFSK). Simulation results are presented to evaluate the power allocation scheme using Lagrangian multiplier and Water filling (WF) algorithms..

  OPTIMUM POWER ALLOCATION OVER FADING CHANNELS IN COGNITIVE RADIO MIMO NETWORKS
 

Authors: P.Rajasekaran, Dr.G.P.Rajamani

 

IJAET/ Volume VII/ Issue II/ April-June'2016/439-443

 

ABSTRACT
In order to accomplish high load carrying capacity with reduced weight of gear drives but with increased strength in gear transmission, gear tooth stress analysis, tooth modifications and design of gear drives are becoming major research area. The failure of gear teeth for particular reason such as high load carring capacity, high speed rotation etc. The bending stress is largest in the root fillet radius of the gear teeth. So the modified fillet radius gives reduction of bending stress and contact stress The goals of the existing study the effects of tooth stresses and tooth deflection in spur gear drive, to study the effects of these performance parameters in the addendum and centre distance modified spur gears at critical zones of single tooth contact and to develop a technique to design and model spur gears. The performing constraints of standard and spur gears were determined through Finite Element Analysis (FEA). Contact parameters viz. contact stress, normal displacement and tooth mesh stiffness were theoretically determined at the contact area. Thus the proposed design (circular root fillet) withstands higher bending strength rather than the standard root fillet design.

  PROPERTIES OF PPC BINDER PERVIOUS CONCRETE
 

Authors: K.S.Elango, V.Revathi*

 

IJAET/ Volume VII/ Issue II/ April-June'2016/444-448

 

ABSTRACT
This paper reports a study on pervious concrete made with Portland Pozzalona cement (PPC) as a binder. The mix proportions were prepared with different coarse aggregate sizes. The size of coarse aggregate (CA) ranging from 6 mm to 12 mm was used in this study. Aggregate to binder ratio and water to binder ratio was considered as 3.3 and 0.35. Properties such as compressive strength, flexural strength and permeability were examined and relationships between aggregate size vs strength parameters, coefficient of permeability, void ratio and density properties of PPC binder pervious concrete were drawn to evaluate the influence of CA sizes in pervious concrete. The results indicates that increase in aggregate size leads to decrease in strength values and increase in permeability properties.

  AN EFFECTIVE AND SECURE SCHEME FOR AUDIO/VIDEO STREAMING BASED ON MODIFIED SRTP USING AES-CFB ENCRYPTION
 

Authors: Iyyanar Perumal, Prof.J.SenthilKumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/449-453

 

ABSTRACT
Video streaming is widely acknowledged as the future of video communication. Nowadays there are many developers provides inbuilt support for audio/video communication such as Google Talk, MSN and Yahoo. Skype is one of the most popular peer-to-peer audio/video communication tools. Microsoft Live Communication server supports audio and video streaming and conferencing solutions for enterprise applications. Many individual and more organizations are using these applications. But there is very sensitive information is carried over the multimedia network. The sensitive video communication needs to be safeguarded and secured against malicious attacks and eavesdropping. Security plays a major role in streaming application. RFC 3711 describes the SRTP protocol and its encryption/decryption algorithm. The default encryption algorithm in SRTP protocol is AES-F8, AES-CM and AES-CBC. This thesis proposes an alternative mode of AES-CFB encryption to be used in SRTP protocol without changes the original structure of SRTP protocol. The AES - CFB mode is more secure than AES-CBC, CM mode in SRTP protocol. The evaluation of the prototype system is to provide a safer transmission across the Internet and improves the network parameter like bandwidth, delay and jitter for quality-guaranteed manner while using Modified SRTP. The QoS of the proposed video streaming system using modified SRTP is analyzed and compared with other existing protocols like RTP and SRTP using Wireshark - the network packet analyzer tool. The proposed system can transmit the audio/video stream across the multimedia network with high throughput, low bandwidth and smooth video transmission without delay in real-time application. .

  A NOVEL APPROACH TO DATA HIDING SCHEME
 

Authors: K Murugeswari*, Dr.Deisy C,Ganesan G

IJAET/ Volume VII/ Issue II/ April-June'2016/454-456

 

ABSTRACT
A new steganography combined with cryptography approach is proposed. Here two levels of security used. In the first level the message is encrypted using the proposed novel scheme. In the second level Least Significant Bits (LSB) insertion method is used to hide an encrypted message within an image. The entropy and correlation values of the resultant images are not changed. By means that robustness of undetectability is proven. Here steganography is combined with cryptography, So the hacker never gets a chance to detect the original content. The hidden data can be extracted and decrypted to get the original message.

  AN EFFICIENT 2D DIFFIE - HELLMAN BASED TWO-SERVER PASSWORD-ONLY AUTHENTICATED KEY EXCHANGE PROTOCOL
 

Authors: Anitha Kumari K, Sudha Sadasivam G, Rohini L

 

IJAET/ Volume VII/ Issue II/ April-June'2016/457-462

 

ABSTRACT
In emerging technological world, distributed systems such as storage area networks, cloud computing, and Content Delivery Networks (CDNs) are at the forefront for storing, processing and accessing information. However, security is a highest challenge in these large scale distributed systems. To address these issues, we have proposed the first demonstrable secure triangle (2D) based two-server Password Authenticated and Key Exchange (PAKE) protocol with formal proof of security by using the properties of trigonometry. The phenomenal aspect of the proposed protocol is, it is not possible to attain the password from the stored information even under the act of compromising both the servers. In contrast, all existing two server PAKE protocols assume that two servers never conspire. In this paper, we discussed the triangle properties that fuse well with Diffie-Hellman key exchange protocol to guarantee its security against offline dictionary attacks. 2D PAKE protocol is proved mathematically to show the vigor against attacks happening deviously. Proofs and result analysis apparently state that it is infeasible to find out the key and the password by a passive / active adversary. .

  TURNING PARAMETERS OPTIMIZATION USING COPRAS – TAGUCHI TECHNIQUE
 

Authors: Krishnaveni, A, Jebakani, D,Jeyakumar, K and Pitchipoo, P

 

IJAET/ Volume VII/ Issue II/ April-June'2016/463-468

 

ABSTRACT
Optimization of machining parameters plays a vital role in the quality of the product and the reduction of the cost. The quality of surface finish, durability of tool and dimensional accuracy are depending on the selection of optimum parameters. In this work five process parameters such as cutting speed, feed, depth of cut, tool insert and type of coolant are considered as input parameters and material removal rate, surface roughness, machining time and tool nose radius wear are taken as the expected output responses. Taguchi based COPRAS (Complex Proportional Assessment of alternatives) is proposed to find the optimal combination of parameters. L8 orthogonal array is used to conduct the experiments. The weightage of the output responses are computed using entropy measurement method.

  STUDY ON COMPRESSIVE STRENGTH OF CONCRETE USING MAGNESITE WASTE AS PARTIAL REPLACEMENT FOR FINE AGGREGATE
 

Authors: Nithya.M*, Maheswaran. G, Senthil kumar.S

 

IJAET/ Volume VII/ Issue II/ April-June'2016/469-470

 

ABSTRACT
Magnesite waste is a theoretically sound and immobile material and its physical properties are comparable to sand. Use of magnesite waste in different engineering application can answer the difficulty of disposal of magnesite waste. It can be used in concrete to advance its strength and durability by partly replacing the fine aggregate. This study presents the information about the appropriateness of magnesite waste in civil engineering application. The investigational study was carried out to examine the possible of magnesite waste on part substitute of fine aggregate in concrete based on the compressive strength of concrete attained after 7thand 28th day. Mix design was prepared using IS10262:2009. The physical properties of components of concrete and magnesite waste were found as per IS specification 10262:2009.Experiment results show that compressive strength of concrete have been improved for part replacement. .

  CROWDSOURCING – AN AREA TO EXPLORE
 

Authors: S Poonkuzhali and E Mohana

 

IJAET/ Volume VII/ Issue II/ April-June'2016/471-477

 

ABSTRACT
In this present dynamic and socialized world, most of the e-businesses are done by outsourcing. Many business models have reached the saturation level by outsourcing. Now industrialists are looking for innovative ideas in outsourcing with reduced cost, time and access for right talent. At this junction, crowdsourcing is similar to outsourcing which perfectly matches the innovation. Crowdsourcing is the compound fusion of Crowd and Outsourcing, which defines outsourcing a job for the crowd. Beyond the cost, crowdsourcing offers significant benefits to the business by reducing the risk of failure and paves for solutions or services that meet its expectations without any geographical limitations. This paper, aims at providing a review of literature's in the field of crowdsourcing, its various forms, its applicability in different domains and challenges faced by both participants and organizers in using crowdsourcing. .

  A STUDY ON INTENSIFICATION OF UNFILLED STRENGTHEN SEGMENT WITHIN COMPRESSION BY MEANS OF SUPERFICIALLY BONDED CFRP COMBINATIONS
 

Authors: P.M.Priyanka*, T.Karthik, A.K.Priya, M.Nithya, R.Vanitha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/478-481

 

ABSTRACT
In this work we are leaving study on strengthening of square unfilled steel section in compression CFRP composites. A total of 6 column of square hollow steel tube confirming to IS 4923-1997 having a dimension of 91.5 mm x 91.5 mm was used in this study. The thickness and the length of the square hollow steel tube were 4.5 mm and 800 mm, respectively. Among 6 columns, 2 columns are control samples and four samples wrapped with CFRP strips with dissimilar spacing. The CFRP columns were tested in compression testing machine of capacity 2000KN. Determination of the effects of outside layer on ultimate force of column was also performed. By applying of four faces on its own crosswise CFRP layer the highest force grow of 68% was reached. The load at which the CFRP begins shattering and the temperament of failure were too noted for each column. To learn the property of sheet and single layer on ultimate strength of column. This study effort precedes as well rehabilitation system for failure columns. The leading objective of the investigation is to experimentally examine the suitability of carbon fibre reinforced polymer shreds in intensification the corroded square elements underneath compression and likewise recount the effectiveness of proportioned structures of the advancement material.

  ELECTROOCULOGRAPHY DE-NOISING: WAVELET BASED APPROACH TO REDUCE NOISE
 

Authors: S. Mala, Dr. K. Latha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/482-487

 

ABSTRACT
In the application of bio-signals, especially in electrooculography (EOG) signals, a growing area of research pertains. In recent years, electrooculography signals play a vital role in activity recognition, context aware system and wearable system, etc. The EOG signals affected by noise during data acquisition. To hold the EOG signal facets, the noise reduction in EOG signal is an important task of biomedical science. This paper investigates noise reduction dedicated to one of the bioelectric signals EOG as a data pre-processing to later go to activity recognition. This work focuses on Discrete Wavelet Transform (DWT) based noise reduction in order to remove noise and improve the identification of EOG signal features. Four wavelet functions namely db4, db5, sym4 and coif3 & four thresholding methods are used to remove the noise in EOG signals. The exploratory result validates the sym4 wavelet with rigrsure threshold retains the EOG signal characteristics effectively by significant reduction of noise. Performance is analysed based on Mean Square Error and Peak Signal to Noise Ratio.

  PERFORMANCE ANALYSIS OF ADAPTIVE AUXILIARY CONTROLLED INTERLEAVED BOOST CONVERTER FOR PV PANEL TO GRID SYSTEMS
 

Authors:R.Vijayabhasker, V.Kamatchi Kannan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/488-495

 

ABSTRACT
This paper presents a simulation analysis of soft switching Interleaved Boost Converter (IBC) with adaptive auxiliary control that can operate in two levels of duty cycle (i.e. Duty cycle (D) <50% and D>50%) along with the implementation for the application of power production from solar power in Photo Voltaic (PV) panel to grid system. IBC is an efficient converter often used for high power applications which can reduce input current ripple, switching and conduction losses. In the proposed IBC, to reduce voltage stress across the switches, a resonant tank capacitor is placed and a coupling capacitor is added additionally which in-turn increases the stability and durability of the circuit, that also act as the adaptive control through the auxiliary circuit. Faster switching and suitable impedance matching is achieved in this topology. Reduced auxiliary circuit reactance will increase the overall performance. Better current sharing between the switches is also attained. Further, the application in PV panel to Grid Connected system proves the significance of the converter with high conversion efficiency, high boosting co-efficient, maximum output load upto 200 kW and also suitable in all range of luminance and temperature ranges. With the simulation output using MATLAB/SIMULINK, the primary goal is achieved by increasing the energy injected to the grid by keeping track of the Maximum Power Point (MPP) of the panel, reducing the switching frequency and providing high reliability.

  SECURED DATA DISCLOSURE IN DEEP EXTREME LEARNING MACHINES
 

Authors: Dr. G.Kirubhakar, D. Kiruthika

 

IJAET/ Volume VII/ Issue II/ April-June'2016/496-504

 

ABSTRACT
As the data available in the world nowadays is spread over geographical locations, many learning problems now have to deal with distributed input data. To improve the efficiency of learning, it is significant to deal with the privacy concern of each source by extending the privacy preservation notion to original learning algorithms. Neural network systems are capable of deriving information from complex data, and they are used to derive patterns and inferences which are otherwise lost in many applications. Preserving the privacy of sensitive data and individuals' information is a key challenge in many of these applications. In neural network learning system the Deep Extreme Learning Machine (ELM) algorithm which is a new supervised learning method and has better classification performance and has built some tangible links between machine learning and traditional biological learning mechanisms. Although it works only on single-layer models, ELM can outperform by reducing the communication required between parties in the learning phase. Traditional ELM learning calculation certainly expect complete access to entire information. This is a major privacy concern in most of cases. Sharing of private information (i.e. restorative records) is counteracted in light of the fact that of security concerns. In this paper, new privacy-preserving protocol for ELM algorithm is presented when data is horizontally and vertically divided among several parties. This new protocol, which preserves the privacy of both the input data and the constructed learning model, can be useful for processing web based incoming records and/or batch processing. Furthermore, the concluding model is securely shared among all parties, who can use it together to forecast the consequent output for their target data..

  A ZESTFUL COMBINATION OF ABC WITH GA FOR QUENCHING OF JOB SHOP SCHEDULING PROBLEMS
 

Authors: R. Rajkumar,*A. Muthiah

 

IJAET/ Volume VII/ Issue II/ April-June'2016/505-517

 

ABSTRACT
The job shop scheduling problem (JSSP) has attracted much attention in the field of both information sciences and operations research. This paper considers the permutation Job shop scheduling problem with the objective of minimizing make span. Artificial Bee Colony algorithm (ABC) is one of the search heuristics used to solve global optimization problems in complex search spaces. It is observed that, the efficiency of ABC in solving a Job shop problem can be improved significantly by tailoring another technique Genetic Algorithm (GA) to suit the structure of the problem. In this paper, an effective GA for rectifying Job shop scheduling problems is also proposed. The multi objective job shop scheduling problem can rectify and the performance will improve to an extreme by execution of proposed hybrid ABC-GA approach. The proposed technique will be implemented in the working platform of Matlab and the performance will be analyzed by comparing with the conventional methods for JSSP. Computational results based on some permutation Job shop scheduling show that the GA gives a better solution when compared with the earlier reported results.

  TRANSIENT EFFECT OF WINDOW POSITION ON NATURALLY VENTILATED ROOM WITH VARIOUS VENT CROSS SECTION AREA
 

Authors: M. Senthilkumar, N. Mohana Sundara Raju

 

IJAET/ Volume VII/ Issue II/ April-June'2016/518-523

 

ABSTRACT
In the view of fossil fuel source decrement, power utilization for existing machines, equipments, etc. and new machinery development cause the demand in power supply. The demand has increasing day-by-day rapidly. Currently all around the world, all researchers are focused on developing a new technique / technology with low cost, low power utilization, less maintenance, small in size and so on. All these technique and technologies were found and followed today by us is only for human and their comfort. When a human under a closed roof mostly all-around the world, it is required to cool or heat the space to feel comfort environment. This work aimed to reduce the indoor air temperature by employing top vent on above the window. This experiment was conducted on a reduced isolated room model which has a single window and a stationary point heat sourced naturally ventilated room. The experiment was carried out with operating the window ON / OFF and changing the top vent size. The result shows that, when the top vent cross section increases along with window opening, the maximum indoor temperature decreased up to 1.5°C. In the case of the vertical indoor air temperature difference for without window opening and with opening is 1°C and 2.3°C respectively. So the bottom of the room model temperature was found low with window opened and top with maximum vent size..

  MLTP GROUPING FOR RESEARCH PROJECT SELECTION
 

Authors: D. SaravanaPriya, Dr. M. Karthikeyan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/524-531

 

ABSTRACT
In present days, the government, private and research funding agencies having the lot of challenges to handle the grouping process of making relevant groups which is had similar arrangement in terms of same requirement proposal. In this consideration we satisfy and fulfill the challenges behind the agency by MLTPGRPS. This MLTPGRPS will give the verification and comparison in terms of multi lingual comparison, and text mining method of text comparison. The group might be consisting of most relevant text in to the same group. In this regard we introduce two method to do above is by, ME VS MLM is a Matching Estimation based Virtual spread shuffle Similarity of Multi-Lingual text Mining. ME VS MLM is reduces unmatched items in the group and also increase the accurate of relevant text group formation by mining of language as well as text proposal input research proposal.

   
   
   
   
   
   
   
   
  LARGE SCALE MULTIPLE-INPUT MULTIPLE-OUTPUT (LS-MIMO) DETECTION USING GENETIC CAT SWARM OPTIMIZATION
 

Authors: Prof. G. Ranjitham, Dr. K. R. Shankar Kumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/536-541

 

ABSTRACT
Large Scale Multiple-Input Multiple-Output (LS-MIMO) is an emerging technology system employs multiple antennas at the transmitter and receiver sides. The receivers used in MIMO-OFDM are complex. Due to reduction in computational Complexity, Computational Intelligence finds its application in the field of MIMO detection. In this paper, a novel hybrid algorithm called Genetic Cat Swarm Optimization (GCSO) is proposed and put upon for the first time in MIMO detection. The new algorithm called GCSO MIMO achieves maximum likelihood performance and proved that the search space is reduced when compared with other optimizing algorithms like GA, CSO.

  STRENGTH OF HOLLOW SECTION AND INTER LOCK WELD IN AUTOMOBILE POWER TRANSMISSION JOINT
 

Authors: Srinivasan R.* and Jayaraman.M

 

IJAET/ Volume VII/ Issue II/ April-June'2016/542-545

 

ABSTRACT
The important role of torsional strength in hollow beams under torsion in mechanical engineering application is the research work area. The research area includes practical usage in drilling pipe of bore wells and civil engineering structural applications. The space occupied by the hollow beam is a restricted constraint. In such case, even a small excess in angle of twist of hollow beam results is dangerous causing malfunctioning of the machine or civil structure because of mismatching of components in total assembly. This research paper deals with hollow beams of geometrical cross sections namely square and circular hollow sections, with same outer dimensions. The hollow beams are tested for torsional strength and the angle of twist developed is found using torsion testing machine. The specimens of circular and square cross sections made up of different metals like mild steel, copper and aluminum are tested. The experimental results are compared with results from theoretical calculation and also verified by the finite element analysis method using ANSYS tool. The hollow square or circular section with better torsion rigidity is identified. The second part of research is on the slip joint in transmission shaft of multi wheeler automobile. This research paper also suggests the new type of interlock weld to minimize the failure hollow circular slip joint in automobile transmission and to increase the strength of welded joint.

  NANO POWDER MIXED ECM OF INCONEL 718 USING ANFIS AND RSM
 

Authors: Kannan P R*, Palaniswamy, Sekar T, Suresh P, Senthil Kumar C

 

IJAET/ Volume VII/ Issue II/ April-June'2016/546-552

 

ABSTRACT
In the recent days, the effective study of machining process, in terms of prediction, modeling and optimization has always been a challenge to the researchers. In this paper attempted to establish a mathematical model and prediction model for correlating the interactive and higher order influencing machining parameters on the predominant machining criteria,i.e, the Metal Removal Rate (MRR) and Surface Roughness (SR) through response surface methodology(RSM) and adaptive neuro-fuzzy inference system (ANFIS) ,utilizing the experimentally observed from a nano copper supended elctroloyte in Electro chemical machining (ECM) of Inconel718. In this study, Nano copper suspended electrolyte was chosen as a electrolyte and twenty seven experiments were carried out.The input machining parameters like, voltage, feed rate and discharge rate are considered for these experiments and observed the variations in Material Removal Rate (MRR) and Surface Roughness (SR). A second-order polynomial equations were generated for the responses using Response surface methodology (RSM). The Adaptive neuro-fuzzy inference system (ANFIS) have been used for plot predictive models based on experimental observations.. The experimental values are compared with the predicted values of RSM And ANFIS. Results indicated that the ANFIS technique has superior technique in modeling of MRR and SR with high prediction accuracy. Also, results obtained from the ANFIS have been compared with confirmatory experiments which validate the applicability and suitability of the proposed techniques in enhancing the performance of PECM process..

  DYNAMIC CONGESTION CONTROL IN GROUP BASED SERVICE ROUTING FOR SCALABLE MANET
 

Authors: Pushpalatha S, Jaganathan P.

 

IJAET/ Volume VII/ Issue II/ April-June'2016/553-558

 

ABSTRACT
Service discovery is an essential application in Mobile Ad hoc Network. The scalability is a critical problem when designing service discovery protocols, since congestion occurs when many users frequently access the services. Therefore, service discovery protocols should be designed having the knowledge of congestion control in the network. In the proposed work, a non-Congested neighbour information is constructed by each mobile node to identify the congestion status of the nodes available in the Service Information cache. If packet loss occurs during the service invocation, alternate route is identified through non-Congested neighbour status from the Service Information Cache. The integration of congestion control in the service discovery protocol provides good performance under congested networks. The proposed work utilizes bandwidth efficiently and thereby saves energy.

  AUTOMATIC MOBILE PLATFORM FOR PHYSICALLY CHALLENGED PEOPLE IN RAILWAY JUNCTION
 

Authors: Dr.P.Gomathi, Dinesh

 

IJAET/ Volume VII/ Issue II/ April-June'2016/559-562

 

ABSTRACT
In the Indian railway framework physically challenged individuals and senior nationals are use trams and flyovers to cross the railway Platforms, so they feel troublesome. To defeat this issue, a programmed mobile platform is proposed in this paper. The versatile Platform is joined in the middle of the railway tracks in the side of the intersection Platform. At the point when there is no train landing in the station, the versatile Platform will be opened and consequently moving like lift. The physically challenged people will utilize the moving Platform to pass the intersection Platforms. At the point when the train is arriving, moving Platforms will be shut. The train entry sign will be declared in a voice framework and demonstrated by LED signal. The proposed framework gives a superior answer for exchanging of physically challenged people in one Platform to another Platform without utilizing fly overs and metros.

  BEHAVIOUR OF COMPOSITE BEAMS UNDER COMBINED BENDING AND TORSION
 

Authors: J.Thivya, R. Malathy, D Tensing

 

IJAET/ Volume VII/ Issue II/ April-June'2016/563-566

 

ABSTRACT
An experimental investigation is carried out on a newly developed composite beam called Confined Steel Concrete Composite Beam (CSCC beam) governed by welded T shaped shear connectors by considering a range of spacing 75 mm, 100 mm, 125 mm and 150 mm respectively. Two point loading method has been applied on four CSCC beams in order to evaluate the performance of the beam. The values of the parameters bending moment, angle of twist and rotation of the beam are calculated when applying entire load by combined bending and torsion. It is observed that the composite beam having 75 mm spacing shear connectors exhibits best ultimate strength over the beams having other spacing.

  A STUDY ON MECHANICAL PROPERTIES OF VARIOUS MINERAL ADMIXTURES USED IN REACTIVE POWDER CONCRETE
 

Authors: D.Ambika, Dr.M.Sivaraja*

 

IJAET/ Volume VII/ Issue II/ April-June'2016/567-570

 

ABSTRACT
High strength and High performance concrete becomes essential for today's construction. The new alternative concrete for Ultra high strength and high performance concrete is the Reactive powder concrete. Reactive powder concrete (RPC) is a developing composite material which optimises the material usage reduces weight of the concrete and makes the structure very strong and durable. The primary goal of this paper is to consider the mechanical properties of different mineral admixtures utilized as a part of crimpled steel fiber along with RPC Ø <0.5mm> is analysed and to understand the fundamental behaviour of RPC in this way as to overview its quality execution and to survey the flexural execution of RPC parts.

  A SURVEY OF MODULATION TECHNIQUES FOR A SERIES CONNECTED VOLTAGE SOURCE INVERTERS
 

Authors: Lijo Jacob Varghese*, Dr. C. KeziSelvaVijila, Dr. I. Jacob Raglend

 

IJAET/ Volume VII/ Issue II/ April-June'2016/571-581

 

ABSTRACT
The concept to achieve higher power using a series of power semiconductor switches with several lower voltage dc sources produces a staircase voltage waveform called a multilevel inverter has brought about a revolution in catering the demands of medium and high power industrial applications. The Multi-Level Inverter extends its application to industrial motor drives, interfacing with renewable energy sources, Flexible AC transmission Systems and also to applications like traction drives. A numerous modulation techniques and control schemes have been developed like the Sinusoidal Pulse Width Modulation (SPWM), Selective Harmonic Elimination Pulse Width Modulation (SHE-PWM), Space Vector Modulation (SVM), etc. This paper brings about a survey of various configurations of modulating techniques for a Multilevel Inverter.

  IMPLEMENTATION AND ANALYSIS OF CASCADE H-BRIDGE MULTILEVEL INVERTER USING PV SYSTEM WITH MPPT TECHNIQUES
 

Authors: Dr.P.Gomathi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/582-588

 

ABSTRACT
This paper highlights implementation and analysis of cascade H-bridge multilevel inverter using PV system with MPPT techniques is proposed. The 11-level output voltage is achieved using the cascaded H-bridge multilevel inverter. To maximize the photovoltaic array output power the maximum power point tracking (MPPT) is used in photovoltaic (PV) system. Switching pattern of PWM technique is modified and its Experimental analysis is carried out with the help of MATLAB/SIMULINK. The total harmonic distortion is much less when compare to existing method. The results for different conditions are taken. Finally a prototype is designed and implemented to verify the feasibility and excellent performance.

  FAULT TOLERANCE BASED APPROACH TO IMPROVE RELIABLE CLOUD MIGRATION BY USING ROCLOUD ALGORITHM
 

Authors: S Poonkuzhali and S Pramila

 

IJAET/ Volume VII/ Issue II/ April-June'2016/589-595

 

ABSTRACT
Cloud computing is a mainstream aspect of Information Technology. It provides skyscraping agility, scalability, elasticity and low computational cost. These characteristic of cloud has made the enterprises to migrate their legacy applications to cloud environment. Although it has several advantages, achieving high reliability during migration is becoming extremely difficult. Thus in order to migrate the applications to cloud environment, reliability is considered as the imperative requirement. To address this issue, a reliability based framework is designed. It implements the concept of ROCloud approach for migrating their entire components and sometimes partial components to cloud. It identifies the application’s critical component by using the Invocation and Coupling Information. Based upon these factors, significant value of the component is calculated by using Page Rank algorithm. The fault tolerance capacity of each of these significant component is evaluated by using various strategies such as Recovery Block, NVP, and Parallel. Through the process of refactoring a small number of error-prone components, reliability of the application is improved.

  STRENGTH AND MECHANICAL PROPERTIES OF NANO FLY ASH CONCRETE
 

Authors: M.Harihanandh, M.Sivaraja*

 

IJAET/ Volume VII/ Issue II/ April-June'2016/596-598

 

ABSTRACT
Concrete is the universally accepted material to construct the unswerving structures. In order to make high strength, dense, reduction of pores, the lot of research work is going on yet. In that silica has been invented to produce high performance concrete. In this work, the waste which has developed from thermal and power plant industry known as fly ash has been utilized to make the concrete. This fly ash has under gone in ball milling process, for the couple of hour to convert it’s from micro to nano. The output from the ball milling process has confirms its size using SEM Analysis (confirmation of particle size and its distribution). The concrete made with nano fly ash have been under gone the mechanical test properties such as compressive strength test, split tensile test and modulus of rupture for the grade of M20. These test results are compared with conventional, Raw flay ash and Nano silica concrete.

  AN EXPERIMENTAL INVESTIGATION ON RELATIVE HUMIDITY AND CHLORIDE RESISTANT ATTACK IN CONVENTIONAL CONCRETE USING POLY-ETHYLENE GLYCOL AS AN INTERNAL CURING AGENT
 

Authors: Rampradheep G S, Dr.M.Sivaraja

 

IJAET/ Volume VII/ Issue II/ April-June'2016/607-612

 

ABSTRACT
The Conventional curing may experience a decrease in quality because of Self-drying up in cement. The Self-curing is one of the most ideal approaches to enhance the quality and strength of the Concrete. In this paper the self-curing cement was thrown for M20 evaluation of cement with Poly ethylene glycol (PEG) as a curing operator. The test program comprises of determination of mass misfortune and quality crumbling against weakened Hydrochloric corrosive (HCl), fast chloride infiltration test on the example of 28 days, 1 year and 2 years of curing. From the studies lessening because of hydrochloric corrosive assault of completely drenched example, Sprinkler cured example and self-cured example were analyzed and the example cured by completely inundation into HCl for 28 days, 1 year and 2 years demonstrates the better result.

   
   
   
   
 

DDOS ATTACKS RESISTANCE AND PREVENTION USING FAIR SCHEDULING AMONG MULTIPLE FLOWS SCHEME

 

Authors: K. Chandraprabha, Dr. B.G. Geetha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/617-622

 

ABSTRACT
Denial of Service (DoS) attack becomes an important security issue in the network service provisioning due to huge demand on internet services being provided by large application server. Recently, many research works has been developed for Distributed Denial of Services (DDoS) attack model to avoid flooding attack in the Internet Service Provider. However, DDoS attacks still causes demanding issues in Internet infrastructure and IT environment. In order to overcome such limitations, Fair Scheduling among the Multiple Flows (FSMF) scheme is proposed in this paper. FSMF scheme increases the system defenses thereby it efficiently eliminates the unconstitutional attack in internet service provisioning. FSMF scheme ensures immunity from misbehaving flows and allows for better congestion control in wireless network. In FSMF scheme, all the attack process and their general characteristics are initially analyzed to design a general DDoS defense technology. Then, location of network topology is analyzed depends on the each attack phases by assigning rules to packets. Experimental evaluation of FSMF scheme is done with the performance metrics such as attack resistance rate, vulnerability ratio and flow correlation coefficient. Experimental analysis shows that the FSMF scheme is able to improve the attack resistance rate by 9% and also reduce the vulnerability ratio of attacker by 38 % when compared to the state-of-the-art works.

 

A NOVEL APPROACH FOR OPTIMAL LOCATION AND SIZING OF MULTI-TYPE FACTS DEVICES FOR MULTI-OBJECTIVE VOLTAGE STABILITY OPTIMIZATION USING HYBRID PSO-GSA ALGORITHM

 

Authors: Dr. S.P. Mangaiyarkarasi, Dr. T. Sree Renga Raja

 

IJAET/ Volume VII/ Issue II/ April-June'2016/623-627

 

ABSTRACT
A new modified severity function is proposed, based on which the N-2 line contingencies in the IEEE 30 bus system are analyzed and ranked. FACTS devices like Static VAR Compensator (SVC) and Thyristor Controlled Series Capacitor (TCSC) are used for achieving reduction in under voltage severity value and reduction in voltage deviation from the nominal value. A hybrid combination of two heuristic algorithms, Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) are used, which combines the exploiting and exploring features of the two algorithms respectively, to determine the objective of optimal placement and optimal size of the FACTS devices. A trade- off analysis of the choice of the SVC and TCSC devices, their optimal MVAr requirement in view of the system stability and system severity has been performed. The test results of the proposed work are compared with the conventional PSO algorithm. The computational time substantiate the feasibility of the proposed method to application in real time environment for voltage security assessment and enhancement.

 

SPEECH EMOTION RECOGNITION USING GLOBAL ALIGNMENT KERNEL WITH LARGE MARGIN NEAREST NEIGHBOR CLASSIFIER

 

Authors: Amudha M, Rajeswari N

 

IJAET/ Volume VII/ Issue II/ April-June'2016/628-632

 

ABSTRACT
Emotion recognition by the computer is a demanding concern in the field of machine intelligence since human-machine interaction systems could afford enhanced services to users by being adaptive to their emotions. This project focuses on better representation of speech emotion features using (dis) similarity based feature representation paradigm. The Berlin emotional database was used for this experimental study. The speech spectral features have been extracted from the audios of varying length using Mel Frequency Cepstral Coefficients (MFCC). Global Alignment (GA) kernel is applied between every pair of the speech signal to obtain (dis) similarity based feature representation. Then Large Margin Nearest Neighbor (LMNN) which is based on the Mahalanobis distance metric was used for the emotion classification of seven classes, namely anxiety/fear, anger, happiness, sadness, boredom, disgust and neutral. The results show that GA kernel with LMNN classifier achieves a recognition rate of more than 85%.

 

ITERATIVE NON LOCAL IMAGE RESTORATION USING INTERPOLATION OF UP AND DOWN SAMPLING

 

Authors: R.Jothi Chitra, K.Sakthidasan @ Sankaran and V.Nagarajan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/633-637

 

ABSTRACT
This research paper proposes an image restoration technique using interpolation of up and down sampling.Image restoration is a function of removing distortion from a noisy image in order to recover the original image. Here, image restoration is performed in three stages. First, a high variance noisy input image is added and denoising is implemented by kernel estimation. In this, the constant noise level is added and iteration is performed. Second, inpainting is carried out using the damaged portion of an image and restoration is done by restoring the local properties of the image. Third, image can be restored by selecting the sampling rate and interpolation of up and down sampling. For each case, the image parameters like PSNR and SSIM are evaluated. Performance graph and tabulation are obtained using the above said quality metrics. The better efficiency of proposed iterative image restoration for image denoising and inpainting is achieved when compared to other interpolation techniques. Using this method convergence time is also reduced.

 

EFFICIENT DENOISING OF RICIAN NOISY MAGNETIC RESONANCE BRAIN IMAGES USING SELF SIMILARITY APPROACH AND SPATIAL FILTER

 

Authors: Hari Haran.G*, Ajith Bosco Raj.T, Jayachandran.A

 

IJAET/ Volume VII/ Issue II/ April-June'2016/638-642

 

ABSTRACT
Removing of Rician noise from medical images is now a challenging issue in the field of medical image processing. Most well known noise reduction methods, which are usually based on the local statistics of a medical image, are not efficient for Riciannoise reduction. This paper presents an efficient and simple method for noise reduction from medical images. The proposed method consists of two stages as, noise detection and reduction. In noise detection, self similarity pixel based intensity value is used. Order statistics filter is modified by adding more features for noise reduction. Experimental results are compared with NLM (Non local mean filter), SDNF (Sliding Discrete Fourier transform Narrow band filter), Bilateral filter, Wiener filter and Wavelet domain based filter. The quality of the output images is measured by the statistical quantity measures: Mean Opinion Score (MOS), Structural Similarity Index (SSIM) and Mean Square Error (MSE). Based on the experimental results, it is clear that the proposed filtering algorithm produces better results compared to other leading noise detection and reduction methods.

 

INTEGRATED WEB SERVICE COMPONENT INTERFACE FOR EFFICIENT E-LEARNING SERVICES

 

Authors: Dr.M. Balakrishnan and Dr.K. Duraiswamy

 

IJAET/ Volume VII/ Issue II/ April-June'2016/643-645

 

ABSTRACT
Online tutoring is all about using web services or the Internet for tutorials or tutoring activities. Students interact with their tutors with the application of Internet. To make an online tutoring scheme more effective, a framework for Learning Software Component Model (LSCM) is designed. The objective of LSCM is to construct a component model based on the communication services using the network. The framework of LSCM transforms the functions as components to provide better students’ service requests with the help of repositories for the E-learning system. In addition to that, the aspects of Learning Object (LO) in LSCM combine the related sub hierarchical components. Based on the combination of components, training schedulers are recognized efficiently in LSCM. The proposed online tutoring system, OTFWS, for E-learning system using web service technology is experimented to evaluate the performance improvement compared to the previous Semantic Oriented Web Services(SOWS) in terms of communication efficiency, speed of message transfer, delivery report, maintenance of tutoring sessions, reliability, application throughput, interaction of more number of people, and scalability. Proposed OTFWS achieves 25% - 28% lesser in the delivery report rate time, 15% - 19% high in communication efficiency, 23% - 28% high in people interaction rate, 17% high in application throughput..

 

IMPACT OF INDUSTRIAL POLICY ON SMALL SCALE INDUSTRIES (SSI): AN EXPLORATORY STUDY ON INDIAN SSI’S

 

Authors: Dr. N.V. PoovendhiranVeerappan *Dr. D. Sathishkumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/646-654

 

ABSTRACT
Small Scale Industries (SSI) plays a major role in the economic development of India. Tamilnadu is one of well developed States in terms of industrial production in India. Erode district is industrially developing district in the State. The success and failure of SSI is determined by Industrial Policy for SSI. Micro, Small and Medium Enterprise (MSME) department announced industrial policy in every year. The main focus of the industrial policy is creating awareness and effective utilization of incentives and subsidies. But there is a gap between the content and the usage of industrial policy. So, there is a need to measure impact of industrial policy on SSI.

 

PSBUCA: PREEMPTIVE AND SLICING BASED USE CASE ANALYSIS

 

Authors: Ashok Bakthavathsalam, Dr. T. Purusothaman, Dr. R Ravichandran, Dr.G.Vijaya

 

IJAET/ Volume VII/ Issue II/ April-June'2016/655-661

 

ABSTRACT
In software engineering, modeling and visual language used to characterize the software model called Unified Modeling Language (UML). The use case diagram is one of diagrams available in UML to model dynamic nature and represent the significant method to analyze and model a software system. The use case diagrams are used to extending the modules in software. The project managers in project use different analysis and design model. In this paper, PSBUCA model is used which contain different levels or layers to analysis the use case diagram in design phase effectively. In these layers, the preemptive technique and slicing techniques are used to analysis the use case diagram. Slicing method is used to slice the use case diagram based incoming and outgoing arrows to an actor. Then, the preemptive technique is used to the set the priority based relationship. The business intelligence tool is used to examine the use case slices and recommended the manager for future analysis and decision making process.

 

PERFORMANCE ANALYSIS OF MIMO BASED ASTM-OFDM SYSTEM FOR INDOOR COMMUNICATION

 

Authors: J. Kirubakaran, Dr. G.K.D Prasanna Venkatesan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/662-666

 

ABSTRACT
Present years, there is a tremendous need for bandwidth with upcoming technologies like internet of things, Big Data, etc. OFDM is a well-known technique used for high – data rate transmission, for indoor wireless application. In this article Alamouti Space Time Multiplexing based OFDM system is considered for analyzing the error rate with respect to signal power. Block call feedback equalizer and minimum mean square error with and without windowing technique is employed. Additionally a low complexity rules that selects the bandwidth information measure in progressive accommodative manner. The simulation result produces a accurate estimate of the BW information measure parameters.

 

AN ENHANCED CUCKOO SEARCH APPROACH FOR OUTLIER DETECTION WITH IMPERFECT DATA LABELS

 

Authors: Dr. Jayanthi P*, Dr. Nirmala Devi K, Dr. Kousalya K

 

IJAET/ Volume VII/ Issue II/ April-June'2016/667-673

 

ABSTRACT
Outlier detection is a process of detecting the incompatible data with the original one. This is mainly due to the uncertainty of the data or due to the imperfect labeled data. Outliers can be determined in order to avoid them for the data analysis or to find some interesting significant facts. The test for single outlier cannot be used in sequence for detecting multiple outliers. The existing methods use statistical approaches, proximity-based measures, classification approaches, index-based approaches, etc. and they cannot detect the data which are imperfectly labeled and behave like an outlier. To overcome this, an appropriate membership function can be used to distinguish between the imperfectly labeled data from the normal data. The proposed algorithm uses Cuckoo K-Means clustering with a combination of kernel LOF based method to identify the membership value of the data. Further Cuckoo-SVDD(Support Vector Data Description), approach is used for detecting global outliers. This can be tested by adding the significant noise to the original data and flipping the original labels of the randomly selected data with the opposite labels. The experimental results show the better performance when compared to other methods.

 

BINARY, TERNARY AND QUATERNARY EFFECT OF POZZOLANIC BINDERS AND FILLER MATERIALS ON THE PROPERTIES OF SELF COMPACTING CONCRETE (SCC)

 

Authors: Mrs.R.Manju and Dr.J.Premalatha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/674-683

 

ABSTRACT
This study is pursued to explore the potentiality of Self Compacting Concrete (SCC) reinforced beams subjected to flexural loading. On the whole, eight mix proportions comprising two discrepant filler materials namely Lime stone Powder (LP) and Marble Powder (MP) and two pozzolanic materials like Fly ash (FA) and Silica Fume (SF) are chosen. Consecutively, four different mix proportions are prepared with these four materials. Among the four mix proportions, one mix was the control mix which contained fly ash exclusively. While second mix-proportion exhibited the constituents namely, fly ash, silica fume and marble power, third one comprised fly ash, silica fume and lime stone powder. Besides, the fourth mix-proportion constituted all four materials. The fresh properties and strength properties were performed on all eight mixes. Further, Load Deflection Curve was plotted for eight beams under flexural loading. Dimensions of the beam were 100mm X 175mm X1500mm. Several distinctive features such as first crack load, ultimate load, moment, ductility factor and stiffness were observed. Moreover, a quantitative comparison was performed at every noteworthy facet of loading. With the help of the results, pozzolans and fillers constituted in SCC were thoroughly observed. Precisely, the enhanced results obtained from all four materials especially at all the phases of the research was recorded and edified.

 

FEASIBILITY OF USING WASTE GLASS POWDER IN FLY ASH BRICKS

 

Authors: N.Sudharsan, T.Palanisamy

 

IJAET/ Volume VII/ Issue II/ April-June'2016/684-688

 

ABSTRACT
Fly ash is one of the major residues generated during combustion of coal in thermal power plants. Fly ash brick technology is the process of converting industrial waste material into quality building material. Glass waste is the problematic threat to environment and also to the developing countries. Fly ash, Lime, Gypsum and Crusher dust are used to manufacture the fly ash brick. In this study glass powder is used as a replacement material for fly ash. The fly ash was replaced by the glass powder in the various proportions. Two types of Fly ash bricks were casted. In first type Boron glass replaced in Fly ash bricks and another type Soda lime glass lime replaced in Fly ash bricks. The prepared bricks are cured for 7days and 28days dried in regular temperature. The tests results shows the compressive strength of the brick with 20% replacement of boron and soda Lime glass powder revealed 6.723N/mm2, 6.150 N/mm2 provokes the excellent performance in compare to the Indian Standards. The water absorption, bulk density, hardness, efflorescence, initial rate of absorption and sorptivity of the brick are experimented asper IS code. The study was aimed to reduce the waste glass dumping in the earth to protect the environment from hazardous and also increment of low cost brick towards the construction industry for the sustainable development..

 

SECURED UTILITY ENHANCEMENT IN MINING USING GENETIC ALGORITHM

 

Authors: Dr.G.Kirubhakar and Dr.C.Venkatesh

 

IJAET/ Volume VII/ Issue II/ April-June'2016/689-693

 

ABSTRACT
Organizations need to exchange data for mutual benefit. As a side effect of the mining algorithm some releasing some person specific data could potentially reveal sensitive information about individuals. This frequently results in individuals either refusing to share their data or providing incorrect data. The strictness of the techniques to preserve the privacy is putting in question the utility of the data after severe preservation. Based on the analysis of shortcomings of earlier technologies this paper proposes a new method for securing data using genetic algorithm. In this paper, we investigate rigorous technique to evaluate the utility loss, and propose a framework to enhance the utility of anonymized data. The results obtained prove that the basic objective of this approach is met with balanced security and utility compared to traditional methods.

 

EXPERIMENTAL AND THEORETICAL STUDY ON THE EFFECT OF SOLID CONCENTRATION ON BIOGAS PRODUCTION FROM FOOD WASTE

 

Authors: D. Thamilselvan, M. Kannan, P. Lawrence

 

IJAET/ Volume VII/ Issue II/ April-June'2016/694-696

 

ABSTRACT
Food waste contains a substantially large amount of organic matter, which can be digested anaerobically to produce biogas. In this present study, biogas yield of food waste was evaluated in 1000 ml laboratory scale anaerobic batch reactors. The effect of solid concentrations (5, 10, 15 and 20%) on the biogas yield was investigated for the digestion time of 30 days. The food waste used in these experiments were subjected to characterization studies before and after digestion. The daily biogas production, cumulative biogas production, methane and carbon-di-oxide composition were measured. The volume of biogas produced was measured at regular intervals (24hrs) using water displacement method. The experimental results show that the reactor with solid concentration 10% produced higher biogas yield compared to other solid concentrations. Modified Gompertz model was used for kinetic study of biogas production. The kinetic parameters, biogas yield potential of the substrate (B), the maximum biogas production rate (Rb) and the duration of lag phase (λ), coefficient of determination (R2) and root mean square error (RMSE) were estimated in each case.

 

IMPROVE OUTCOME OF E-LEARNERS USING SELF LEARNING CLASSIFIER

 

Authors: M. Mohammed Thaha, Dr.C.Jayakumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/697-700

 

ABSTRACT
Student’s performance on learning is based on the Self-Efficacy and mental efforts. Learning style of a person will be changing based on the environment. Our objective is to improve the self-efficacy and provide the learning content based on the learning style adopted by the learner. This agent will provide the suitable e-learning content based on the current learning style of the user. This helps in better understanding of the concept. Moreover, the proposed system analyses the error rate on learning style identified by the system and the one he possess naturally.

 

EFFECT OF HIGH TEMPERATURE ON MESH CONFINEMENT CONCRETE

 

Authors: Dr Jegatheeswaran D., Dr Sridhar J.

 

IJAET/ Volume VII/ Issue II/ April-June'2016/701-706

 

ABSTRACT
Fire in concrete structures constitutes a major hazard to their safety and integrity. In durability aspect, fire resistance of the concrete itself to withstand heat and the subsequent action of water without loss of strength, without cracking or spalling. In this paper, an experimental investigation has been carried out to study the effect of high temperature on mesh confinement concrete. In this study, the four types of meshes such as glass, wire, nylon and GI weld type were used as confinement materials in the cylindrical specimens with length of 300mm and 150mm diameter. A normal strength concrete (NSC) of M20 was considered and a total of 45 numbers of NSC cylindrical specimens with and without mesh confinement were cast. After 28 days of curing, the specimens were exposed to room temperature and 500°C. After exposure to high temperature the cylindrical specimens were cooled by air-drying method and quenching method for 24 hours and the specimens were allowed to dry for one day. These specimens were tested for finding the residual compressive strength and loss in weight of cylindrical specimens and also the other mechanical properties like load carrying capacity, energy absorption capacity, stiffness and ductility factor etc., and the colour of the cylinders became light yellow and cracks were observed in the cylindrical specimens..

 

A FUZZY BASED APPROACH FOR MINIMIZATION OF TORQUE AND FLUX RIPPLES IN DTC BASED PMSM DRIVES

 

Authors: P. Thamizhazhagan, Dr. S.Sutha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/707-711

 

ABSTRACT
Permanent Magnet Synchronous Machines (PMSM) has been used in a number of specific applications. However, in recent years PMSMs have become more attractive due to developments in new materials for permanent magnets and in semiconductor technology for converter design. Recent investigations have proposed some implementations applying the Direct Torque Control (DTC) technique to PMSM motor drives, offering a fast and accurate control. This paper presents a modified DTC scheme, using fuzzy logic with Pulse Wide Modulation (PWM) to improve stator flux and the electric torque by significantly reducing their ripple. The proposed method effectiveness has been verified by computer simulations. These results are compared with the ones obtained with a modified DTC using a PI controlled PWM with current limit.

 

SERVICE DISCOVERY ARCHITECTURE USING CLUSTERING IN MANETS

 

Authors: S.Venkatesh Babu, C. Kezi Selva Vijila, M.Ponsuresh

 

IJAET/ Volume VII/ Issue II/ April-June'2016/712-718

 

ABSTRACT
The Mobile Adhoc Network is the collection of mobile nodes with unstructured topology. The resource scare nodes needs cooperative environment to provide and use a service. Service Discovery Protocol was available for wired network where the topology is structured and the nodes are stable. Ad-hoc provides instance network formation among mobile nodes like network formation in disaster refile centres, defence area, so many researchers are concentrated in this area. Among many features service discovery and service usage is being an important one, and it is the main concept of this paper. The proposed concept is based on decentralized architecture it uses Orbit Oriented Service Encounter Algorithm along with the support of Rotated Resource Routing Protocol for cluster formation and On Demand Rolling Routing Protocol for service discovers and service usage. The experimental result shows less controls over head and it increase the packet delivery ratio, also reduces the service discovery time.

 

MULTI-ITEM INVENTORY MODEL WITH DEMAND DEPENDENT UNIT COST AND VARYING LEAD TIME WITH FUZZY UNIT PRODUCTION COST

 

Authors: N. Gopalsamy, Dr. P. Maniiarasan, Dr. P. Vasanthi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/719-720

 

ABSTRACT
A multi item inventory model with demand dependent unit cost and leading time has been formulated with storage space and production cost restrictions. In most of the real world situations, the cost parameters, the objective functions and constraints of the decision makers are imprecise in nature. Hence the unit cost has been imposed here in fuzzy environment. The varying purchase and leading time crashing costs are considered to be continuous functions of demand rate and leading time respectively. The model is solved using Karush-Kuhn Tucker conditions approach with the optimal order quantity, demand rate and leading time as decision variables. An optimal total cost is obtained. Model is illustrated with numerical example for a single item..

 

AN EFFICIENT TRUST BASED BAT-INSPIRED ROUTING (TBIR) PROTOCOL FOR MANET

 

Authors: K. Jayabharathi, Dr. V. Ranganathan, Dr. R. Kishore

 

IJAET/ Volume VII/ Issue II/ April-June'2016/721-730

 

ABSTRACT
Mobile Ad-hoc Network (MANET) is a decentralized and self-organized communication system that has dynamically changing topology. An effective deployment of the communication system in MANET demands trust management between distributed nodes and information regarding the nature of network cooperation. In recent years, trust schemes are introduced as a novel concept to provide the secure communication between mobile nodes in MANET. In this paper, an efficient Trust based Bat-Inspired Routing (TBIR) protocol is proposed for achieving two contributions. The initial contribution of the TBIR protocol is the computation of Trust Equation (TE) that estimates the trust value of each and every neighbor node of the source node. The aggregation operation is performed at the destination side, which combines the individual trust values together to obtain a single trust value. To provide better packet transmission, the nodes with high trust value are chosen. Moreover, the trust level of the node is evaluated by deploying fuzzy logic that aims to make the best routing decision. The second contribution of the TBIR protocol is the estimation of obstacle in the communication path using Bat-Inspired routing protocol. The suggested protocol exploits the echolocation method for estimating the Received Signal Strength Intensity (RSSI) for all the neighboring nodes from the source node. If the RSSI value of a neighboring node is high, then the source node transmits the data packets to the receiver node through the selected neighboring node. The performance comparison of the proposed TBIR protocol with the existing Lightweight and Dependable Trust System (LDTS) and Trust Derivation Dilemma Game (TDDG) methods show that the proposed TBIR protocol provides optimal results.

 

SECURED KEY AGREEMENT SCHEME WITH TRUST FORCLUSTER BASED MOBILE AD HOC NETWORKS

 

Authors: Janani.V.S, M.S.K.Manikandan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/731-734

 

ABSTRACT
Mobile Ad-hoc Networks (MANET) has become prominent in recent years whose security is one among the major issue concerned extensively. The security solutions from various researches lacks in considering node to node communication, especially in the infrastructure-less adhoc networks. In this paper, we present a one round secured key agreement scheme with trust (SKAT) in a cluster based MANET environment. The proposed SKAT scheme resists the known security attacks and provides authenticated node to node communication with less computational cost. The performance of SKAT is evaluated by simulation analysis in terms of key agreement time and overhead for different rate of nodes. Appropriate results demonstrate the proposed scheme guarantees a secured mobile ad-hoc network.

 

ATTRIBUTE SUBSET SELECTION BASED ON FUZZY ROUGH SET AND RANKING APPROACH

 

Authors: G. Uma Mageswari, Dr. M. Indra Devi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/735-742

 

ABSTRACT
In the real world, the database contains a large number of attributes and data. The attribute reduction is one of key processes for knowledge acquisition. Attribute reduction or feature selection is employed for dimensionality reduction and the intention is to select a subset of the unique features of a data set, which have more useful information. A rough set feature selection technique uses the information from both the lower approximation dependency value and a distance metric. It also considers the number of objects in the boundary region and the distance of those objects from the lower approximation. Though it is more efficient in mining, the rough set suffers from intensive computation of either discernibility functions or the positive region to find attribute reduction. To overcome the aforementioned problem this paper, proposes an attribute subset selection based on the Fuzzy rough set and distance based ranking approach, which works progressively. Attribute reduction, maintain the knowledge base under the principle of the same classification ability to remove the irrelevant and redundant attribute properties. Although, it reduces the search space and improves the efficiency. Experimental results reveal the efficacy of the adduced methodology as compared to the traditional methods.

 

EFFECTIVE COST AND TIME MANAGEMENT TECHNIQUES IN CONSTRUCTION INDUSTRY

 

Authors: Shanmuganathan N, Dr. G.Baskar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/743-747

 

ABSTRACT
Effective cost and time management play an important role to achieve the project success in the construction industry. Various cost and time management techniques which help to control cost and time overrun in the construction project. Now a day’s various software’s are used in constructions to monitor and control the cost and time in a construction project. This research was conducted to identify the most successful cost and time management techniques and software’s used to control the projects in the construction industry .The data’s were collected through questionnaire survey from engineers, contractors and clients worked in the various construction industry. According to the collected data’s were analyzed using relative importance index (RII) and ranking the factors based on percentage of relative importance. The results will help the construction industry to take measures in improving the cost and time performance and also identifies the most popularly used software’s such as primavera, Microsoft project in the construction industry.

 

PERFORMANCE ANALYSIS OF PERMANENT MAGNET SYNCHRONOUS MOTOR USING HYBRID OPTIMIZATION ALGORITHM

 

Authors: Dr. S. Vijayabaskar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/748-753

 

ABSTRACT
This work deals with the detailed analysis of a Permanent Magnet Synchronous Motor (PMSM) drive system in Simulink. Field oriented control is used for the operation of the drive. In Closed Loop operation, Speed control of PMSM is achieved through Artificial Bee Colony (ABC) and Evolutionary Algorithm (EA) optimization technique with PID Speed Controller. The ABC and EA techniques are acts as hybrid optimization algorithms. The transient performance also improved by the proposed hybrid optimization PID controller. First, ABC PID control design is developed based on common control Engineering Knowledge. Better transient performance is achieved by increasing the P and I gains and decreasing the D gains. Then the Evolutionary Algorithm is applied for autotuning the control parameters of the ABC and PID controller. EA based ABC PID controller provides better speed control and guarantees the closed loop stability. The Evolutionary ABC PID controller can be implemented in real time Applications without any concern about instabilities that leads to system failure or damage. The simulation includes all realistic components of the system. This enables the calculation of currents and voltages in different parts of the inverter and motor under transient and steady conditions. The losses in different parts are calculated, facilitating the design of the inverter. A closed loop control system with a Proportional Integral (PI) controller in the speed loop has been designed to operate in constant torque and flux weakening regions. Implementation has been done in Simulink.

 

EXPERIMENTAL INVESTIGATIONS ON MECHANICAL, MICRO-STRUCTURAL AND TRIBOLOGICAL BEHAVIOR OF B4C, SiC AND Mg REINFORCED ALUMINUM METAL MATRIX COMPOSITES

 

Authors: Chellapandi P, Senthil Kumar A, Arungalai Vendan. S

 

IJAET/ Volume VII/ Issue II/ April-June'2016/754-756

 

ABSTRACT
B4C and SiC particulate reinforced aluminium matrix composites (Al-MMC) are investigated in the present study. The effects on the variation of B4C with various compositions are investigated on employing dry sliding method. To contemplate the effect of B4C and SiC in the MMC’s, the percentage of Mg was maintained at 2 %. Micro-hardness of the specimens is estimated using vicker’s hardness equipment. The effect due to the dry sliding behavior on metallurgical aspects is analyzed by using optical microscope and scanning electron microscope. The effect due to different SiC and B4C compositions on the mechanical and tribology behavior are discussed in detail. Friction wear properties for B4C and SiC reinforced composites are examined. Coefficient of friction is estimated and is elucidated for the various compositions.

 

DETECTION OF FUEL THEFT IN HEAVY VEHICLE

 

Authors: P. Senthil Raja, Dr. B.G.Geetha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/757-765

 

ABSTRACT
In the aspect to facilitate and enhance the vehicle’s features such as speed, mileage and volumetric level of fuel by providing it with the detection of level and restrict illicit activities using sensor. It is implemented using Vehicle Area Network (VAN) and embedded design. It suggests a computerized technique in heavy vehicles. Due to the high costs, theft more and more every day and the results in a large loss. In the proposed system, owner of the vehicle immediately receive a message when the fuel tank is opened by the operator or by a fuel traded and also the height of the fuel tank when opening and closing of the tank. The poised system uses Wireless based communication for monitoring the vehicle's position. Initially, the process involves measuring fuel level followed by eliciting the information and sends it to the server for further detection. Finally, the message is sent along with vehicle position and fuel level in the tank. This enables in identifying the level of fuel at different times whenever the tank is opened. This improvement in sensors will be a great boon to eradicate fuel theft and vehicle positioning issues..

 

DESIGN, ANALYSIS AND IMPLEMENTATION OF MODIFIED ROUTING ARCHITECTURE FOR DENSE GAUSSIAN NoC

 

Authors: G.Karthikprabhu, A.Karthikeyan,K.Saravanan, V.Senthilkumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/766-769

 

ABSTRACT
In the development of multiprocessor system on chips (MPSoCs), there is large number of computing cores will be operating on a single chip. This will require high-performance on-chip networks with very low latency to provide a communication substrate for the increasing number of network cores. Reduced buffer size and buffer less communication in Gaussian network is a new research trend in NoC architectures. Gaussian networks are gaining popularity as good candidates NoC for interconnecting MPSoCs. This project can be implemented in Gaussian network in order to reduce the buffer size and also the transmission delay in the Gaussian NoC. In this paper, we propose an all-to-all broadcast algorithm suitable for on-chip implementation on the Gaussian network. The algorithm uses controlled message flooding based on a broadcast pattern, which can be described in a formal and generic way for each node in terms of a few simple operations and can be easily built to the router. Furthermore that the generic broadcast pattern also ensures a balanced traffic load in all dimensions in the network so that minimum total speed for all-to-all broadcast can be achieved. The all-to-all broadcast algorithm overlapping message switching time with the transmission time in a pipelined fashion to further reduce the total communication speed of the all-to-all broadcast. Comparison results to demonstrate the topological merits of Gaussian networks and ultralow speed of the proposed all-to-all broadcast algorithm.

 

MODELING AND SIMULATION ANALYSIS OF SOLAR PV ENERGY SYSTEM WITH LUO CONVERTER USING STATE-SPACE AVERAGING TECHNIQUE

 

Authors: Sundarrajan Venkatesan, Manimaran Saravanan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/770-777

 

ABSTRACT
This paper presents a modeling and simulation analysis of photovoltaic (PV) system with higher order DC-DC LUO converter using state-space averaging technique. The LUO converter has the non-inverting output and its output voltage can be more or less than input voltage with the input current being continuous. The inherent input filtering properties of LUO converter gives better output voltage and current with reduced ripples and increases the efficiency as compared to existing fundamental DC-DC converters. The state-space method is used to model the LUO converter. The PV panel simulink model is developed based on the single diode equivalent circuit of the PV module. The combined PV panel model and state-space model of LUO converter is simulated under varying environmental conditions using MATLAB SIMULINK. Incremental conductance maximum power point tracking (MPPT) algorithm is used to verify the performance of the LUO converter in a PV system. A circuitry simulation is performed under the same test conditions to validate the state-space model. The simulation result shows that state-space averaging technique yields similar performance as the result from circuitry model. The state-space technique is easier to implement as compared to circuit model. In addition, the controller design for converter in PV system with either simple or complex higher order system such as LUO converter is easily possible.

 

SMART HOME SYSTEM USING A WIRELESS SENSOR NETWORK WITH REPORTING MECHANISM

 

Authors: Pandithurai O, Dr.C.Sureshkumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/778-781

 

ABSTRACT
Renewable energy sources like wind and solar power form a Distributed Generation In this modern world elderly people those who are living alone they need some assistance in their life because they forget so many small kind of things and also aged people affected easy by diseases so they can easily get sick and this situation they cannot get any help in time, these type of scenarios the propose method very helpful for aged people. In this model introduce a wireless sensor networks (WSN) based smart home monitoring system with data packet fault reporting mechanism. The idea of this paper sensor deployed in many location as well as placing wearable sensors on the waist of the person, the sensor values are computed and assessed. Sensor are identified based on several categories based on its characteristics like Temperature, Heartbeat and Pressure sensors are used to determine the health parameters of the person. Additionally the fall detection algorithm is used to monitor the activities of the elderly people and determine whether or not a fall has occurred. Starting with raw data, the implemented orientation filter provides the correct orientation of the subject in terms of yaw, pitch, and roll angles. After that the purpose of data packet fault reporting mechanism is to receive information from the sensor and monitor whether the packet is reached or not if the data is not reached the destination it will report to source.

 

IMPACT OF DISTRIBUTED GENERATION ON LOSS, VOLTAGE PROFILE, EQUIPMENT LOADING AND SHORT CIRCUIT LEVEL WITH SVC BY USING ETAP

 

Authors: C. Saravanan, K. Sathiyasekar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/782-788

 

ABSTRACT
Renewable energy sources like wind and solar power form a Distributed Generation (DG). The major problem today in power sector is losses in distribution network. Wind energy is the fastest growing and the most promising renewable energy source because it is plentiful, cheap, inexhaustible, widely distributed, clean and climate benign. The weak buses are the buses where the transmission line parameters namely voltage, current and power factor are not maintained efficiently, which results in poor voltage regulation. They are identified and the proposed Static VAR Compensator (SVC) FACTS device is implemented to improve voltage profile, reduction in losses and improve the power factor of Kayathar station in three different scenarios at a macro level by using Electrical Transient Analysis Program (ETAP). The Load Flow Analysis (LFA) and Short Circuit Analysis (SCA) are the efficient tools implemented to check the performance of electrical power system. Simulations are performed to calculate the three cases to study the impact of following scenarios viz., 1.No wind, 2.Average wind and 3.Rated wind. This paper analyses a real-time 10.765-MVA distribution network in Kayathar in Tuticorin district in the state of Tamilnadu, India.

 

EXPERIMENTAL AND CFD SIMULATION ANALYSIS OF MICRO CHANNEL HEAT EXCHANGER TO IMPROVE THE PRESSURE DROP AND HEAT TRANSFER CHARACTERISTICS USING R410A

 

Authors: M. Ezhilan*, P. Seeni Kannan and S. C. Vettivel

 

IJAET/ Volume VII/ Issue II/ April-June'2016/789-792

 

ABSTRACT
There are some refrigerants that are available for use in different types of refrigeration systems. Header geometry is the important key parameter of heat exchanger for reducing refrigerant charge. By changing the appropriate header geometry, we can reduce pressure drop across the flow channels and increase the heat transfer rate. The increase in pressure drop will lead to misdistribution of refrigerant flow also affect the heat exchanger performance. R-410A refrigerant is used for the analysis, which is economically and environmentally beneficial. The modified inlet headers which are combination of tapered cross section header and single, dual, distributor inlet header are investigated using Computational Fluid Dynamics (CFD). Refrigerant flow distribution contours are generated for different header configurations using CFD.

 

MODIFIED DISTRIBUTIVE ARITHMETIC ALGORITHM BASED 3D DWT PROCESSOR WITH PARALLELISM OPERATION OF 1D-DWT

 

Authors: C.S.Manikandababu, Dr. N.J.R. Muniraj

 

IJAET/ Volume VII/ Issue II/ April-June'2016/793-798

 

ABSTRACT
The DWT based image compression technique leads into a new era of video and image processing with its better peak signal to noise ratio and high scalability in compression. The 3D DWT on video brings up the new possibilities in advanced fields like medical imaging, hyper spectral imaging, satellite based 3D surveillance system and video on network. The 3D DWT is still far from the real time applications because of its huge requirement of memory and computational complexity. The realization of 3D DWT in hardware is the best option to overcome the hurdles of computational speed. In this paper, we propose a novel Distributive Arithmetic (DA) algorithm based DWT processor which is used to design the three levels of DWT computation. At each level parallel processing is achieved and hence the optimum speed of 3D DWT computation is enhanced to 310MHz. The power consumption is restricted to less than 1W with memory utilization less than 8% on Virtex5 Platform. The 3D DWT processor is designed using modified DA algorithm and has a throughput of 9 clock cycles. The proposed architecture is suitable for high speed 3D DWT computation.

 

A COLOR IMAGE WATERMARKING SCHEME USING ABC ALGORITHM AND AREA OF BEST FIT EQUATION

 

Authors: M.Sundararajan, Yamuna Govindarajan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/799-806

 

ABSTRACT
Digital watermarking is an effective approach, which handles watermarking problem by encoding user or other copyright information directly in the data without providing any access restriction to such data. In this paper, a new scheme is developed for an efficient robust watermarking technique using ABC algorithm and area of best fit equation. The watermarks are embedded into the HL and LH frequency coefficients in wavelet transform domain. Since, the embedding technique is blind which does not require the original image in the watermark extraction. As well, the scheme also searches the optimal locations in order to improve both quality of watermarked image and robustness of the watermark. The performance of the proposed watermarking technique is analyzed in terms of Peak signal-to-noise ratio (PSNR) and Normalized Correlation (NC). The experimental and the comparative results show that the proposed technique can achieve a good robustness against most of the attacks.

 

PERFORMANCE AND EMISSION CHARACTERISTICS OF KARANJA OIL USING DIETHYL ETHER AS ADDITIVE IN VCR ENGINE

 

Authors: M.K.Murthi Dr.S.Nithiyanandam Dr.PSS.Srinivasan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/807-809

 

ABSTRACT
This study investigates the use of di-ethyl ether (DEE) as an additive with 20% Karanja diesel blend (B20). The main objective of this study is to investigate the performance and emission characteristics of variable compression ratio diesel engine fuelled with karanja oil 20% (B20) and Di-ethyl ether as additive with three different percentages viz. 5%, 10% and 15% at constant speed of 1500 rpm under variable loads and two different the compression ratios (17 and 18). The results of these blends are compared with that of standard diesel under same conditions. The suitability of karanja oil with di-ethyl ether as biofuel is established through this study. The impact of compression ratio on fuel consumption, performance and exhaust gas emissions were investigated and presented. The exhaust emissions such as carbon monoxide, hydrocarbons and carbon dioxide are got reduced compared to diesel..

 

FINITE-SNR DMT OF MIMO SYSTEM WITH ZF RECEIVER

 

Authors: L. Nandita, N. Venkateswaran

 

IJAET/ Volume VII/ Issue II/ April-June'2016/810-812

 

ABSTRACT
In Multiple Input and Multiple Output (MIMO) systems, spectral efficiency can be increased when compared to single antenna systems without increasing transmit power., A point-to-point MIMO system is considered along with a zero-forcing (ZF) linear receiver. At the receiver, perfect channel state information (CSI) is assumed. Also, at the transmitter no CSI is assumed. The diversity and multiplexing gain (DMT) is metric for comparison of multiple-antenna systems. We compute the exact closed-form expression of the DMT of this MIMO system with a ZF receiver at finite signal-to-noise ratio (SNR). We show that the asymptotic diversity gain at practical SNRs is quite optimistic and hence it is better to use DMT at finite-SNR for system analysis.

 

WHEELING CHARGES REDUCTION STRATEGY IN RESTRUCTURED POWER SYSTEM BY IMPLEMENTATION OF FACTS DEVICES

 

Authors: P.Vidhya, R.Ashok kumar and K.Asokan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/813-819

 

ABSTRACT
Restructuring of electric power industry across the world has greatly improves the quality and efficiency of its electric utilities. The utilities are dis-aggricated in to Generation (GENCOs), Transmission (TRANCOs), and Distribution (DISCOs) Companies for the purpose of own operation and benefits. Among this, Transmission Companies play a vital role for effective transmission of electric power in the complex interconnected networks. In TRANCOs, Transmission pricing schemes become a core issue of research in the process of restructuring. More over the pricing schemes determines whether the transmission services are economically benefited to both the Companies and consumers. Therefore a systematic development of novel pricing scheme becomes major concern of transmission companies. Recently FACTS devices invited the attention of researchers because of their superior qualities and more flexible operation with effective control of transmission networks. In this paper, an attempt has been made to calculate the Transmission wheeling charges for various Transactions by installing one of the FACTS devices of Static Synchronous Compensator (STATCOM) in the proposed system. The mathematical approach of power flow based MW-Mile method is applied on a standard IEEE 14 bus system to illustrate the concepts of this framework and test results are presented. Finally, simulation results of wheeling charges are compared with/without STATCOM in the proposed method.

 

HIGH UTILITY ITEMSET MINING WITH INFLUENTIAL CROSS SELLING ITEMS FROM TRANSACTIONAL DATABASE

 

Authors: Kavitha V, Dr.Geetha B G

 

IJAET/ Volume VII/ Issue II/ April-June'2016/820-826

 

ABSTRACT
In this shrinking modern business world making right decisions at right time is the key to success. Helping the business community to make right decision and choices, the KDD evolved itself from association rule mining and frequent patterns to the recent more complex task of mining High Utility Itemset. Many approaches have been proposed to mine HUI in recent years. But almost many of the methods focus either to reduce the number of candidate set generated or reducing the number of costly joins performed but ignores to mine the profit influencing cross selling items. Cross selling items are those items that are often bought together with a high utility item. For example, a customer who purchase a computer of any brand are likely to buy a printer of one particular brand, here the sale of computer induces the sale of printer such item that are cross sold with other items are called cross selling items. This paper is indeed focused on mining such cross selling effects in transactions. Unlike the existing algorithms this paper tries to discover some interesting patterns by taking transaction weight into consideration.

 

REGION GROWING COMBINED WITH COLOR BASED SHADOW DETECTION AND REMOVAL FROM REMOTE SENSING IMAGES

 

Authors: P.Arulraj, Dr. B.G. Geetha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/827-829

 

ABSTRACT
To collect the information about an object without making physical contact with that object is said to be Remote Sensing. Remote sensing images may not appear clearly due to shadows formed by large objects which are reflected from the sunlight. So to overcome this problem, this research mainly focuses to analyze the remote sensing images for removing the shadows from an image without loss of information. Region growing thresholding algorithm is used to remove the shaded region in high resolution color remote sensing images. But if the image has more variations then object boundaries also removed along with the shadows. So to increase the accuracy, color based shadow detection is combined with region growing based shadow detection method. The shadow selector performs AND operation between the shadows detected by the region growing and color based methods.

 

IMPROVING ENERGY EFFICIENCY IN MULTI-CORE PROCESSING USING DYNAMICALLY RE-FOCUSING ON PROCESSORS

 

Authors: R. Radhika*, Dr. R. Manimegalai

 

IJAET/ Volume VII/ Issue II/ April-June'2016/830-839

 

ABSTRACT
One of the drastically growing modern systems is System-on-Chip (SoC) and it is a microchip, comprising all essential electronic circuits and spares for a system like wearable computers, smartphone and etc. These devices include audio receiver, analog-to-digital converter, microprocessor, and memory in GB and I/O logic control on a single chip. These devices are built on future promising of smaller in size, light weight, high performance features and increased battery life. SoC devices are built with an excellent low-cost, high performance features with high integration processes, but energy utilization has not fulfilled such advantage curve. The major problem is that most of the SoC designs have not taken full advantage of the improvements in energy utilization which has been made possible by the use of finder geometry processes. To provide a good solution in terms of energy efficiency various techniques are proposed in terms of software and/or hardware. In this paper a Re-Focusing on SoC for Energy Optimization is used to improve the energy efficiency in modern SoC systems. Reducing the power utilization in SoC(s) involves more than just sleep modes. Here the hardware based techniques are used to save CPU-usage and reduce the power. The proposed approach uses a state machine for monitoring and controlling the entire system where the software is called only when it is necessary and the hardware is operated within a duty cycle in which the processor is awake for 1% of the time. From the experiment, the proposed approach increases the lifetime of the battery from 7 year into 13 years.

 

LIVENESS DETECTION IN FINGERPRINT RECOGNITION BASED ON QUALITY MEASURES

 

Authors: Dr.D.Sasikala and R.Sowmiya

 

IJAET/ Volume VII/ Issue II/ April-June'2016/840-844

 

ABSTRACT
Biometric recognition is nowadays a mature technology with several applications. However, biometric systems based on fingerprint are vulnerable to direct attacks consisting on the presentation of a fake fingerprint to the sensor. A new fingerprint parameterization for liveness detection based on quality measures is presented. The novel feature set is used in a complete liveness detection system and tested on the development set of the LivDET competition, comprising over 4,500 real and fake images acquired with three different optical sensors. The proposed solution proves to be robust to the multi-sensor scenario, and presents an overall rate of 93% of correctly classified samples. Furthermore, the liveness detection method presented has the added advantage over previously studied techniques of needing just one image from a finger to decide whether it is real or fake.

 

ASSESSMENT OF PHYSICO-CHEMICAL CHARACTERISTICS OF GROUNDWATER AT PERUNDURAI TALUK, TAMILNADU, INDIA

 

Authors: S.Ramesh, A. Amirtha Shanthi, P.E.Kumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/845-847

 

ABSTRACT
Water is important for all living beings on the earth. Water is a human need and hence it is a fundamental right. The quality and quantity of water available for human needs in an indicator or economic development of the society. Evaluation of water quality can be defined as the analysis of physical, chemical characteristics of water. Ground water samples were collected from 10 locations in Perundurai block, Tamilnadu. Ground water samples were tested for 10 physicochemical parameters next the standard methods and procedures. Ground Water samples were analyzed for various water quality parameters like Odour, colour, Turbidity, pH, Electrical conductivity (EC), Total dissolved solids (TDS), Calcium(Ca2+), Magnesium(Mg2+), Chloride(Cl-), Fluoride(F), Sulphate(SO42-), Potassium(K+) and Nitrate (NO3-) to evaluate their quality. All the parameters are compared with BIS and WHO standards. The analyses indicate that all the parameters were within the limit except TDS, which makes the water suitable for drinking purposes..

 

PERFORMANCE OF BLIND MULTIUSER DETECTION IN FREQUENCY SELECTIVE FADING CHANNEL USING OFCDM

 

Authors: Sujitha J, Baskaran K

 

IJAET/ Volume VII/ Issue II/ April-June'2016/848-855

 

ABSTRACT
Orthogonal Frequency Code Division Multiplexing (OFCDM) with two dimensional spreading is an attractive tool for multiple access schemes in Fourth Generation Communication. It is mainly used for high speed data transmission. Multiuser detection is an important task in OFCDM. Several methods are available for Multiuser Detection. This paper proposes a Blind Multiuser Detection method for OFCDM over Rayleigh fading channel. The proposed method is implemented to estimate the performance of several parameters including different modulation schemes, spreading factor and number of users. Simulation results revealed that the proposed Blind Multiuser Detection method offers substantial gains over the other Blind Multiuser Detection methods and outperforms better in terms of bit error rate. It also suggests that the BPSK modulation is the best choice for OFCDM based communication than other modulation schemes over Rayleigh Fading Channel.

 

RETINAL VESSEL SEGMENTATION USING NON-SUBSAMPLED DIRECTIONAL FILTER BANK AND HESSIAN MULTISCALE FILTER ENHANCEMENT

 

Authors: T. Sumathi*, Dr. P. Vivekanandan, Dr. Ravikanth Balaji

 

IJAET/ Volume VII/ Issue II/ April-June'2016/856-862

 

ABSTRACT
Automated extraction of retinal vessels play an important role in the diagnosis of a wide range of retinal diseases and also for diagnosing complications due to cardiovascular diseases, stroke and hypertension. The blood vessels of the retina are a complex network and manual segmentation of them is a prolong and tedious task which requires high skills and training. In this paper, a novel method is proposed to segment the retinal vessels using Non-Subsampled Directional Filter Bank (NSDFB) and improved Hessian filter. Vessel enhancement is an important preprocessing step for vessel diagnosis and further processing. The second order geometrical structures are exploited for local shape properties in Hessian-based methods. But the classical Hessian filters are sensitive to noise and suffer from well-known drawbacks such as intensity inhomogeneity, vessel junction suppression. To resolve these issues, a new vessel enhancement approach based on Non-Subsampled Directional Filter Bank and Hessian multiscale filter is used to enhance the vessels. An image grayscale factor is added to the vesselness function computed by Hessian matrix eigen value to reduce the pseudo vessel structures. This technique locates and segments the blood vessels using entropy thresholding and morphological operations. This proposed segmentation method is tested on publicly available STARE, DRIVE, CHASE_DB, HRF database. These public databases have manually labeled images which have been established to facilitate comparative studies on segmentation of blood vessels in retinal images. The performance of the proposed algorithm is evaluated on the basis of sensitivity, accuracy and specificity. The performance measures are also compared with the manually segmented results of publically available databases. The proposed technique achieves high mean accuracy and sensitivity while compared with the several previously proposed algorithms.

 

NEW ADVANCEMENT IN THE PERFORMANCE IMPROVEMENT OF SYNCHRONOUS RELUCTANCE MOTOR

 

Authors: Dr. V. Chandrasekaran,Dr. S. Monoharan,Mr. V. Jethose

 

IJAET/ Volume VII/ Issue II/ April-June'2016/863-870

 

ABSTRACT
The three-phase synchronous reluctance motor is an alternative drive in all-electric applications. Stator of this motor consists of three phase windings and the saliency is made in the rotor to operate as a reluctance motor. Reluctance motors are generally employed in synthetic fiber industry, glass machinery and textile industry where the speed is need to be constant. A new advancement in the synchronous reluctance motor is suggested in which stator consists of two sets of three phase windings and a reluctance rotor. Saliency is made in the rotor by removing set of rotor teeth alternatively in uniform distances around the rotor periphery. In order to verify, A 3 kW, 415V, 1500 rpm, Double Winding Synchronous Reluctance Motor (DWSyRM) has been designed, fabricated and tested. When a three phase supply is given to the stator winding, a revolving magnetic field of constant magnitude is developed in the air gap. Rotor poles are pulled into synchronism by reluctance torque. Out of two windings in the stator, one winding is used to meet the mechanical load while a three phase EMF is induced in the second winding works as an Induction alternator (IA), to which a single phase or small three phase load can be connected. Since the machine runs at synchronous speed, the regulation of terminal voltage is improved. Both the windings can be loaded simultaneously. Machine can be operated at its maximum capacity for the given no load losses, to achieve better efficiency. Load tests with various combinations of electrical and mechanical loads have been conducted. Experiment results prove the improvement in the performance to a great extent compared to conventional Reluctance motor.

 

OPTIMIZATION ANALYSIS OF HEAT TRANSFER ACROSS PVC PIPES EMBEDDED RCC ROOF FOR TROPICAL SUMMER CLIMATES

 

Authors:A. Ramesh Kumar, KCK. Vijayakumar, PSS. Srinivasan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/871-876

 

ABSTRACT
Low income families in urbanized countries suffer from severe indoor environmental disputes like temperature hassle, lack of comfort and poor indoor air quality. The lack of comfort of households has a serious influence on quality of their life and health. Now a days the modern trend demands air conditioning units for comfortness and increases the energy consumption drastically, to control the thermal environment and to keep the residents comfort and efficient. Passive cooling technique is the bare minimum costly method for cooling a home in both money related and natural terms. By means of passive cooling method maintaining thermal comfort is not always easy. Setting up radiant barriers is a common method to reduce the heat penetration inside the inhabitant’s area. Now-a-days the fundamental governing laws of fluid flow, larger complex investigational methodologies and change of complex thermal performance are solved by computational fluid dynamics. The optimization of pitch spacing between the PVC pipes in PVC pipe embedded weatherproof course laid RCC roof to maintain thermal comfort is studied numerically with the application of CFD. The PVC pipe plays an important role and used as a radiant barrier. The weatherproof course and PVC pipes afford conductive resistance and convection resistance respectively. This resistance should be balanced at a certain proportion to reduce the temperature inside the room. The best possible computational methodology is applied for arriving at the better geometrical configuration, which keeps room temperature low by embedding optimum number of PVC pipes in weatherproof course..

 

DESIGN OF INTEGRATED ZVS SINGLE-INDUCTOR SYNCHRONOUS BUCK CONVERTER

 

Authors: Belsam Jeba Ananth. M, Vennila.M

 

IJAET/ Volume VII/ Issue II/ April-June'2016/877-882

 

ABSTRACT
In order to suppress the cross regulation parameter which is the main problem faced by the single-inductor multi-output DC-DC converters, a new efficient converter is presented in this paper. The proposed converter includes two parameters, zero voltage switching (ZVS) and synchronization which makes the proposed converter to operate with less switching losses and switching frequency. Moreover the proposed converter reduces the coupling between the outputs obtained and the different outputs are controlled individually by using closed loop controller. This could reduce the cross regulation parameter effectively. This paper describes the theoretical aspects involved in the design procedure of the converter and the simulation results showed that this converter has better performance and highly efficient..

 

INTELLIGENT FAULT HANDLER – HYBRID MIDDLEWARE ARCHITECTURE FOR SCALABLE SERVERS

 

Authors: Subashri.T, Vimal.K.R and S. Sibi Chakkaravarthy

 

IJAET/ Volume VII/ Issue II/ April-June'2016/883-885

 

ABSTRACT
Big data Analytics is in rapid growth, all value added business is producing tones and tones of data more than ever – TB/s. All these data’s are forwarded with basic potential value added to the business orientation. Every organization is involving their business with leveraging the growth by data driven decisions to drive the business forward. Various research forums focus towards “Processing of those data’s”. Since the middleware architecture was not focused with the same intention which equals data processing. Hence we proposed a new model for middleware architecture with Intelligent Fault Handler which comprises fault handler, Auto –recovery, Continuous patching, Collision Control, pipelining message queues (Delayed delivery model). In proposed model Intelligent Fault Handler is deployed in Hadoop processor to handle message queues & data blocks. Dynamic data routing algorithm is deployed for routing data packets within the queue/data blocks..

 

IMPROVING NETWORK PERFORMANCE THROUGH NOVEL RWA APPROACH IN OPTICAL NETWORKS

 

Authors: M. Arunachalam, R. K. Priyadarshini, V.Rajamani, V.Parthasarathy

 

IJAET/ Volume VII/ Issue II/ April-June'2016/886-889

 

ABSTRACT
The growth of internet and telecommunication systems leads to the emergence of optical networks. In optical WDM networks, data streams are transmitted along with light paths for effective data transmission. The benefit of WDM optical networks includes high performance, fault tolerance, flexibility, scalability and reduced operational and capital cost. Even though, the optical networks have numerous advantages, increasing number of data and applications increases the bandwidth demand. These limitations indulge the efficient utilization of resources in the optical fibers, which in turn results in performance degradation of the networks. In order to overcome these challenges, the light path must be routed through a path with minimum blocking probability at the same time the wavelength selection ought to be taken into account. This paper proposes a flexible load variance routing (FLVR) algorithm and a hybrid wavelength assignment (HWA) algorithm to resolve the issues in resource management. The experimental results of the proposed algorithm are measured in terms of blocking probability, throughput, average queuing delay and connection drop rate.

 

INTELLIGENT FRAMEWORK FOR QOS OPTIMIZATION IN MANET USING SOFT COMPUTING MODELS

 

Authors: P. Madhavan, Dr.P.Malathi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/890-893

 

ABSTRACT
Mobile Adhoc Networks (MANET) is a heterogeneous self configuring networks that changes topology often. Due to mobility nature of wireless nodes, routing information needs to be frequently updated. As nodes are wireless in nature, there exists enormous security threats that disturb the deployment and maintenance of MANET. To alleviate such problems, secure agent based multicast routing protocol for wireless network is proposed. Group communications requires stringent QoS parameters and they have to be kept in rigorous bound. In the proposed work Secure ANFIS based QoS Multicast Routing Agent (Secure AQMRA),QoS input parameters namely node speed, link delay, residual power, packet loss, bandwidth, link utilization are optimized using Adaptive Neuro Fuzzy Inference System (ANFIS) to achieve better scalability. Secure agents are configured in each and every node in the network. This protocol guarantees the security, scalability and high reliability of an established route. The proposed Secure AQMRA protocol performs better than the existing AQMRA protocol in terms of end to end delay, control overhead and Packet Delivery Ratio.

 

POWER REDUCTION ANALYSIS OF DYNAMIC CMOS USING TRANSISTOR RE-ORDERING AND SIZING IN UDSM

 

Authors: N.Anusha*, Dr.T.Sasilatha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/894-897

 

ABSTRACT
Power reduction is an important factor in VLSI circuits. Transistor sizing and reordering are one of the aspects of reducing power dissipation, in CMOS circuits. In this paper the rules of transistor sizing and reordering are applied to dynamic CMOS logic circuits. Dynamic CMOS structures are efficient in high performance circuits. In this paper the power dissipation results with and without transistor sizing and reordering for lower nanometer technology such as 250nm, 90nm, 70nm and the results are compared. Experimental results show that there is 10% reduction in power dissipation.

 

EFFICIENT CONTENT-BASED IMAGE SEARCH AND RETRIEVAL BY COMBINING LOW LEVEL FEATURES

 

Authors: D.Vetrithangam, Dr.N.Uma Maheswari, Dr.R.Venkatesh

 

IJAET/ Volume VII/ Issue II/ April-June'2016/898-906

 

ABSTRACT
With the Advancements and popularity of the social network and development of multimedia technology, the traditional Image retrieval do not satisfy the user’s expectations. In modern days with the development of social networking mediums, so many digital images are uploaded day by day. In order to access this very large image collection The new techniques are very essential. Image mining system is the Content-Based Image Retrieval (CBIR) which performs retrieval based on the similarity defined in terms of extracted features with more objectiveness. In this paper, efficient content-based image search and retrieval is presented, called Hybrid feature extraction method. Content-Based Image Retrieval (CBIR) uses the visual contents of an image such as color, shape, texture. The Proposed algorithm which incorporates the advantages of various other algorithms to improve the accuracy and performance of retrieval. The accuracy of color histogram based matching can be increased by using Color Coherence for successive refinement. The speed of shape based retrieval can be enhanced by considering the Fourier Descriptors with Fast Fourier transform. The Gabor filter has been widely used to extract image features, especially texture features. Feature Vector Normalization can be done to ensure that different feature vectors in the similarity measurement process.In this way the color, texture and shape features are combined to provide a robust feature set for image retrieval.In addition to this, relevance feedback (RF) schemes is developed to improve the performance of content-based image retrieval (CBIR).

 

CLASSIFICATION OF IMAGES DISTRIBUTED ON SOCIAL SHARING SITES IN VIEW OF BA-SVM

 

Authors: M.Kumaresan, Prasanna Venkatesan.G.K.D

 

IJAET/ Volume VII/ Issue II/ April-June'2016/907-912

 

ABSTRACT
Steadily expanding amount of pictures clients offer by means of social web locales, safeguarding protection has end up being a most vital test, as appeared by the late influx of advertised episodes where the clients accidentally shared individual pictures. In perspective of those occurrences, the need of a framework to help online clients when sharing pictures and strategies to their common substance material is self-evident. Toward tending to this need, we propose client conduct examination BA-SVM. Information's are encoded before outsourcing for privatizes prerequisites which obsoletes data use like catchphrase based record recovery. A definite tree-based list structure is utilized to productively store meta-information. An agreeable multi-key expression positioned plan with Reverse Recursive calculation is utilized over encoded cloud information, for seeking which simultaneously underpins dynamic supplant operations like cancellation and insertion of records.

 

IMPLEMENTATION OF FUZZY LOGIC PATTERN CLASSIFICATION SCHEME FOR WEB DIRECTORIESOPTIMIZATION

 

Authors: P.Rubini Dr. C.Gowri Shankar K.Sudhakar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/913-917

 

ABSTRACT
Pattern classification scheme encompasses various tasks and, for each task, a number of different methods are often available, whether computational, statistical, visual, or some combination of them. This paper introduces a selected set of tasks and related methods, including classification (supervised classification), association rule mining, clustering (unsupervised classification), and multivariate geo visualization .Co-location pattern detection aim to discover the objects whose spatial features/events that are frequently co-located in the same region. It may reveal important phenomena in a number of applications including location based services, geographic information systems, geo-marketing, remote sensing, image database exploration, medical imaging, navigation, traffic control and environmental studies. Web is the massive information source in the world. Information retrieval is the complex task in the web environment. Search engines handle the information retrieval process in two ways. They are query-based information retrieval and directory based information retrieval. Google provides the query based information retrieval model. All the information is fetched with respect to the user query value. Yahoo provides directory and query based information schemes. All information is arranged in the hierarchical domain order. Web directory is a hierarchical tree structure of domain and sub domain information. The web directories are classified into two types. Artificial web directories are constructed with reference to the web document contents. Real web directories are constructed with the usage data. Personalization can be applied on the real web directory environment. Objective Community Directory Miner (OCDM), Objective Probabilistic Directory Miner (OPDM) and Objective Clustering and Probabilistic Directory Miner (OCPDM) methods are applied in the existing web directory personalization schemes. The proposed system is designed to perform web directory optimization using the lattice structure based classification techniques. The probabilistic latent semantic analysis algorithm is used for the classification process. The fuzzy logic technique is used to enhance the PLSA scheme for weight optimization. The web directory optimization model uses ISP based user access logs..

 

DEVELOPMENT OF LEAN SUPPLIERS WITH THE APPLICATION OF JIT - A PROACTIVE STEP FOR LEAN PRODUCTION SYSTEM IN SME

 

Authors: P.Senthil kumar, Dr. P.Maniiarasan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/918-921

 

ABSTRACT
For the implementation of lean manufacturing in SMEs JIT plays an important role. When the SMEs follow the JIT, the movement of the materials is just enough to complete the requirements of the customers. JIT as a Pull production system can reduce the wastes effectively. The objective of this paper is to develop suitable strategies for ensuring JIT suppliers, a pre requisite for the effective application of JIT for the implementation of lean manufacturing. In JIT methodology, only based on the customer orders production is initiated. Coordination and communication among the sales division and production division plays a key role for pull production. SMEs are having limited resources and need JIT to reduce the seven lean wastes and to improve the flow. For large industries the suppliers ready to undergo any change as the quantity required normally remains high. For SMEs to develop a supplier maintained inventory system under dynamic conditions of demand with more variants of products is the result expected from this research. .

 

PERFORMANCE ANALYSIS OF TWO TANK SPHERICAL INTERACTING LEVEL CONTROL SYSTEM WITH PARTICLE SWARM OPTIMIZATION BASED PID CONTROLLER

 

Authors: S. J. Suji Prasad, B. Venkatesan, I.Thirunavukkarasu

 

IJAET/ Volume VII/ Issue II/ April-June'2016/922-925

 

ABSTRACT
Spherical tanks are widely used in process industries due to its high storage capacity. These are non-linear due to its varying surface area with respect to its height and hence the level control of a spherical tank system is a challenging task. Different methods are available for level control and Proportional+Integral+Derivative (PID) controllers are widely used in most of the applications. In this paper, a Two Tank Spherical Interacting System (TTSIS) is selected for design of level control system. The transfer function models for different operating regions of the TTSIS are derived and the level control of second tank is designed. The control scheme is developed for PID controller with optimized controller parameters. The performance indices such as peak overshoot and settling time are analyzed for Particle Swarm Optimization (PSO) based PID controller. .

 

PERFORMANCE EVALUATION OF LOAD FREQUENCY CONTROL IN DEREGULATED POWER SYSTEM

 

Authors: P. Anitha, Dr. P.Subburaj

 

IJAET/ Volume VII/ Issue II/ April-June'2016/926-931

 

ABSTRACT
Load Frequency Control (LFC) is more challenging in a competitive, distributed and restructured power system. In this paper Integral and classical controller are applied to the two control restructured area and compared their performance with proposed fuzzy controller. Hence the system is more dynamic and non-linear; it needs an intelligent controller to adapt the changes imposed by the dynamics of restructured contracts. Fuzzy controller is proposed in frequency control of restructured power systems to improve the dynamic performance of the system, since Fuzzy Logic control deals well with uncertainty and indistinctness. The robustness of the proposed fuzzy controller has been compared with conventional and classical controller using performance measures like overshoot and settling time following a step load perturbation. The motivation of this paper is to show the implementation of frequency control in open market scenario and evaluate the performance of the different controllers used in practice. Error based analysis with step load perturbation and random load changes are tested on a two-area restructured power system..

 

IMPROVING THE PERFORMANCE OF CONCRETE BY ADDING INDUSTRIAL BY PRODUCTS AS PARTIAL REPLACEMENT FOR BINDER AND FINE AGGREGATE

 

Authors: Shiny Brintha G & Sakthieswaran N

 

IJAET/ Volume VII/ Issue II/ April-June'2016/932-936

 

ABSTRACT
The experimental work which was been carried out to evaluate the hardened properties of concrete for M30 grade with GGBS, Metakaolin and Copper Slag replacement for cement and fine aggregate simultaneously. The experiments presented in this article were slump cone test, compression strength at 7 days, 28 days and 56 days, split tensile strength at 28 days, flexural strength at 7 days and 28 days. The Metakaolin and GGBS were used equal percentage of 5, 10, 15, 20 and 25 % by the weight of cement respectively. Copper slag was varied from 25 to 75% at an interval of 25% by the weight of sand. The dosage of Super plasticizer used was 0.75% by the weight of cement and w/b ratio was 0.38. The maximum compression strength was obtained for copper slag replacement at 50% and for GGBS and metakaolin replacement at 20% each. The maximum flexural strength and split tensile strength were obtained for copper slag replacement at 50% and GGBS and metakaolin replacement at 15% each.

 

EXPERIMENTAL INVESTIGATION OF NATURAL FIBER REINFORCED POLYMER COMPOSITE

 

Authors: S.Prakash and R.Christu Paul

 

IJAET/ Volume VII/ Issue II/ April-June'2016/937-941

 

ABSTRACT
In the present investigation natural fiber human hair is reinforced with epoxy resin. These fiber reinforced composites were successfully prepared by simple and cost effective synthesis methods by hand lay process. The synthesized composites were subjected to different characterization techniques to test it suitability in different mechanical components. To test its suitability, mechanical properties such as tensile strength, compressive strength, flexible strength and hardness were subjected to different composition of the fiber and resin percentage. The mechanical yield for different compositions of fiber and resins is discussed in detail.

 

IMPLEMENTATION OF EVOLUTIONARY ALGORITHM FOR PROFIT BASED POWER GENERATION USING FACTS DEVICES

 

Authors: *M. Karthikeyan, Dr. T. Sree Renga Raja

 

IJAET/ Volume VII/ Issue II/ April-June'2016/942-945

 

ABSTRACT
In this paper, a differential evolution algorithm has been implemented to determine the optimum solution for scheduling of generator unit with minimum operating cost. The proposed algorithm is implemented to identify the location of Flexible Alternating Current Transmission systems (FACTS) devices with regard to less fuel cost and power loss minimization. It is based on steady state power injection model of UPFC. It has a great flexibility that can control both generating powers and bus voltage simultaneously. The feasibility of this algorithm has been verified on IEEE 30 bus system with and without FACTS device.

 

A FRAMEWORK FOR HEALTH CARE BY USING MULTI-AGENT SYSTEM

 

Authors: V. Revathi, Dr. G. Tholkappia Arasu

 

IJAET/ Volume VII/ Issue II/ April-June'2016/946-949

 

ABSTRACT
Several applications are built based on Service Oriented Architecture (SOA). Different atomic web services are incorporated and provide new composite web service. A new composite android application is developed with the help of multi-agents for medical assistance to patients. This application will register the interested patients to its system who are willing and can send alerts to mobile like their next check-up date or updating of medicines list so that they get proper treatments and stay healthy. This application will also help a patient to get help from ambulance service. When they are alone at home by just clicking on a button that will send the patients to address to the hospital and ambulance service. The patients can also view whether their individual doctor is available for a given date and book their appointments with him/her. They can also view the various treatments provided by the hospital and fees for each treatment and also the doctor fees. A new patient could register with the system through the hospital if they interested. This application will help a patient by correctly maintaining their regular check-up dates, and they may not miss any check-up.

 

ANALYZING QOS BASED STABLE ENERGY AWARE ADHOC ROUTING PROTOCOL WITH DIFFERENT MOBILITY MODELS

 

Authors: Dr. V.Seethalakshmi, Dr.K.Sheela Shobana Rani, Dr.M.A.Raja

 

IJAET/ Volume VII/ Issue II/ April-June'2016/950-954

 

ABSTRACT
A mobile adhoc network (MANET) is a self-configuring infra- structure less network. The emergence of real-time applications such as multimedia services, disaster recovery etc., and the widespread use of wireless and mobile devices has generated the need to provide quality-of-service (QoS) support in MANET. The mobility model represents the realistic behavior of each mobile node in the MANET. In this paper, the performance of QOS based stable energy aware adhoc routing protocol (QSEAAR) is analyzed with various mobility models for Mobile Ad Hoc Network. For high acceptability of routing protocol, analysis of routing protocol in ad hoc network only with random way point mobility model is not sufficient. Here Random Way Point (RWP) Model, Manhattan Grid (MG), Reference Point Group Mobility (RPGM), Gauss-Markov (GM) mobility Model are considered for proper analysis of QSEAAR routing protocol. The simulation of proposed protocol is carried out using network simulator ns-2.35 under Linux platform.

 

RIVER WATER QUALITY ANALYSIS BY FUZZY APPROACH-A CASE STUDY OF CHUNNAMBAR RIVER PONDICHERRY

 

Authors: K.R.Leelavathy, V.Nirmala* ,V.Nageshwaran

 

IJAET/ Volume VII/ Issue II/ April-June'2016/955-958

 

ABSTRACT
This paper reports the utility of Fuzzy Inference System (FIS) in an innovative way to assess the Water Quality Index (WQI) for Chunnambar River, Ariyankuppam, Puducherry Region, Southern India. Water quality management is an important issue of relevance in the context of present times. The aim of the present study is to examine the influence of the various parameters namely Dissolved oxygen (DO), Biological oxygen demand (BOD), pH, Total Coliforms (Tco) and Temperature (Temp) on the potable quality of the river water. Two fuzzy inference systems, one with parameters DO,BOD and Tco and the other with the result of first FSI, pH and Temp, are modeled. Application of these two fuzzy rule based optimization models are illustrated with 12 samples collected during March’14 to February’15, from Chunnambar River. These samples were analyzed for the above said parameters and the analysis showed good agreement with the WQI which is being traditionally calculated in India. The Fuzzy Inference System (FIS) approach was a practical, simple and useful tool to assess river water quality.

 

MECHANICAL PROPERTIES OF HIGH STRENGTH CONCRETE WITH BASALT FIBER

 

Authors: M. M. Saravanan, Dr.M.Sivaraja

 

IJAET/ Volume VII/ Issue II/ April-June'2016/959-960

 

ABSTRACT
Due to ever increasing quantities of waste materials and industrial by-products, solid waste management is the prime concern in the world. One such industrial by-product is Rice Husk Ash (RHA). RHA is a major by-product of rice mills and successfully used as a land filling material for many years. Fiber Reinforced Concrete (FRC) is another technology which yields similar properties as that of conventional concrete. Many journals showed that use of basalt fibers in lower strength concretes increases their Split tensile strength. The development of HSC has brought about the essential need for additives, both chemical and mineral, to improve the performance of concrete. The experimental investigation has been performed to evaluate the strength properties of M40 grade of concrete mixes, in which cement was replaced with RHA at four different percentages namely 0%, 10%, 20% and 30%. The basalt fibers were added by 0.5% by volume of cementitious material. Tests were performed for split tensile strength for all replacement levels. Test results show that there is an increase in split tensile strength. Hence, Rice Husk Ash can be safely used in concrete to increase the strength of concrete.

 

STUDY ON FILLER SLAB USING SELF COMPACTING CONCRETE WITH TERRACOTTA POTS AS FILLER

 

Authors: S.Sundari, S.Sukumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/961-966

 

ABSTRACT
Self compacting concrete (SCC) is an innovative concrete that does not require vibration for placing and compaction. It is able to flow under its own weight, completely filling formwork and achieving full compaction, even in the presence of congested reinforcement and its engineering properties are similar to traditional concrete. Filler slab is a low cost structure reducing the dead weight leads to economy in overall. Hence this work highlights on the behaviour of filler slab using self compacting concrete with terracotta pots as filler. The materials used in Self compacting concrete are cement, mineral admixture- fly ash, chemical admixture- super plasticizer Glenium B233, crushed sand, water. The fresh properties of mortar were found by conducting Flow cone test, V- funnel test as specified in EFNARC (European Federation of National Associations Representing for Concrete) and optimum dosage of super plasticizer was found to be 2% with 25% fly ash. Mix design for SCC of M35 grade was done based on IS 10262:2009 & EFNARC. The fresh properties of concrete were found by conducting Slump flow test, V- funnel test, L-box test as per EFNARC and the concrete satisfies the conditions specified in it. Then the slab specimens were cast in different sizes and tested for their flexural behaviour and the results are compared with the theoretical values.

 

APPLICATION OF LEAN TOOLS FOR REDUCTION OF CYCLE TIME IN RUBBER MOULDING PROCESS CELL – AN INDUSTRIAL CASE STUDY

 

Authors: P. Dhiravidamani, A. S. Ramkumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/967-977

 

ABSTRACT
Lean manufacturing is one of the most powerful control systems in the current manufacturing practices. In the present competitive and challenging business markets, manufacturing industries need to improve their strength and must concentrate on their process flows by assigning the task resources carefully to improve productivity. This paper presents the implementation of lean production practices in a celluar manufacturing environment for a rubber moulding industry to improve productvity. Lean manufacturing practices are generally aimed at improving the product quality and increasing profitablity for manufacturing in the international market. They also provide the application for variety of tools and strategies which can help in identification of waste, reduction or elimination of waste, lowering the product cost, reducing human effort and minimizing product manufacturing time. This paper focuses on implementing lean production techniques in a small scale rubber moulding industry. These techniques are used to measure the idle time, reduce cycle time, waiting time and bottleneck time. This research work demonstrates the application of lean production principles such as Kaizen continuous improvement process and 5S which includes a few advantages, namely implementation strategy and productivity improvement through reduction in cycle time. The present work proposes a methodology by implementing lean production techniques for productivity improvement in a small scale rubber moulding industry.

 

MULTI WAVELET TRANSFORMS AND OPPOSITIONAL PARTICLE SWARM OPTIMIZATION FOR AN EFFICIENT REVERSIBLE IMAGE WATERMARKING

 

Authors: T.Sujatha, Dr.K.Geetha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/978-987

 

ABSTRACT
Digital Watermarking has evolved as one of the latest technologies for digital media copyright protection. Watermarking of images can be done in many ways and one of the proposed algorithms for image watermarking is by utilizing hybrid multi-wavelet transform and oppositional particle swarm optimization (OPSO). In this paper, initially, the image is decomposed with the help of multi-wavelet transform which is the combination of Haar and Bi-orthogonal wavelets. After that the best band suitable for embedding process is selected with the help of maximum entropy calculation. The best position of the selected band is chosen based on the oppositional particle swarm optimization algorithm. After that the private image is embedded into the selected position of the image. Finally the inverse multi wavelet transform is applied to the image to get back the watermarked image. The same process is repeated to the extraction process. The performance of the proposed image watermarking scheme is analyzed through various constraints such as the Normalize Correlation (NC) and the Peak Signal to Noise Ratio (PSNR). The proposed scheme maintains the embedding quality with an average PSNR value of 58 dB.

 

BIODIESEL FROM GOAT AND SHEEP FATS AND ITS EFFECT ON ENGINE PERFORMANCE AND EXHAUST EMISSIONS

 

Authors:M. James Selvakumar and S. John Alexis

 

IJAET/ Volume VII/ Issue II/ April-June'2016/988-993

 

ABSTRACT
In the present day scenario the cost of fuel has become a great menace to Indians. In Indian cities automobile pollution has become a pressing issue. The vehicular population is continuously increasing and pollution is increasing rapidly. The percentage of carbon dioxide in the atmosphere increases the temperature. This paper aims to provide an alternate solution for petroleum based fuels. It suggests that biodiesel produced from inedible animal fat (goat & sheep) to be used as an alternate fuel. In this study biodiesel is produced from fats of sheep and goat obtained from meat stalls in and around Hosur Taluk, Krishnagiri District, Tamilnadu and South India. The objective of the present study is to investigate the effects of petro diesel and biodiesel blends on the performance and emission characteristics on a four stroke single cylinder diesel engine. The engine was operated at constant speed. The readings of the important parameters were noted at different loads. Detailed analysis was done on the performance and emission parameters of biodiesel blends and diesel. At maximum load condition, the specific fuel consumption of 50% biodiesel is 0.36 kg/kW-hr is more than that of diesel 0.35 kg/kW-hr. It was observed that the thermal efficiency of biodiesel fuel was less than that of petro diesel. The maximum brake thermal efficiency obtained is about 26% for B10 which is slightly higher than that of diesel (23%). For various percentages of biodiesel blends, there is an increase in brake thermal efficiency and indicated thermal efficiency. The engine experimental results showed that exhaust emissions including carbon monoxide (CO), carbon dioxide (CO2), hydro carbons (HC) and smoke emissions were reduced for all biodiesel mixtures .The emissions of the engine running on B10 were reduced by 2%, 8%, 13% and 22% for smoke density, HC, CO and CO2 respectively as compared to petro diesel at various loading conditions. However, an increase in oxides of nitrogen (NOx) emission was experienced for biodiesel mixtures. B10 has NOx emission of 8.6% at maximum load.

 

TRIBOLOGICAL AND CORROSION BEHAVIOUR OF AL 6063/SIC METAL MATRIX COMPOSITES

 

Authors:M. K. Aravindan* and K. Balamurugan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/994-999

 

ABSTRACT
Aluminium (Al 6063)metal matrix composites having different volume fraction of SiC particulates (0 to 15wt %) were fabricated using stir casting method. The influences of the SiC percentage in Al/SiC composites were examined by microscopic analysis, pin-on-disk wear tests and corrosion tests. Results revealed that tribological characteristics of Al/SiC composites varied with respect to the SiC concentrations. Microstructures of the Al / SiC composites revealed that the SiC with 2 and 4 volume fractions have uniformly dispersed grain-boundary layers. Corrosion results show increase in SiC particulates reduces the corrosion rate. The addition of SiC particulates up to 10wt% provides consistent results and improves the material strength. Further addition of SiC particulates leads to poor tribological behaviour. The present results ultimately support to the researchers / manufacturers who are working in the field of fabricating Aluminium composite materials for aircraft, cars, astronautics and defence applications.

 

INVESTIGATION AND PERFORMANCE ANALYSIS OF NANOPARTICLES AND ANTIOXIDANTS BASED NATURAL ESTER

 

Authors:M. Srinivasan, U.S. Ragupathy, K. Sindhuja and A. Raymon

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1000-1007

 

ABSTRACT
Transformer is one of the critical equipment to be monitored conditionally in a power system network. To balance the demand and supply of the customers, the supply of power from the power system should be uninterruptible, which depends on how reliable the transformer is. The lifetime of the transformer depends on insulating fluid which provides effective cooling and insulation. The traditionally used insulating fluid is mineral oil which is the derivative of petroleum. The objective of the proposed work is to minimize the dependency over the fossil fuel which is running out of demand and to maximize the use of fuels extracted from renewable sources, thereby mitigating the drawbacks associated with mineral oil such as poor biodegradability, poor flash and fire point. Mineral oil is causes harm to aquatic/human life during its disposition and spillage. Hence, there raised a demanding need to find an alternative dielectric fluid which overcomes the limitations of the mineral oil in all aspects. In addition to that, an effort has been made to enhance the critical characteristics of natural esters by adding semiconductive nanoparticles (TiO2 and ZnO) in 0.01 % particle volume fraction and antioxidants (Citric Acid and Butylated Hydroxy Anisole) in 1 g/L (single antioxidant) and 0.5 g/L:0.5 g/L (multiple antioxidants). The critical characteristics like breakdown voltage, impulse breakdown voltage, viscosity, flash and fire point measured according to IEC and ASTM standards before and after adding nanoparticles and antioxidants. Interestingly it is found that the use of nanoparticles and antioxidants can enhance the critical parameters of natural ester and can be used as a substitute of mineral oil.

 

AN ANALYSIS OF SECURE GROUPING MANAGEMENT ARCHITECTURE (SGMA) FOR PEER TO PEER OVERLAY NETWORKS

 

Authors:P. K. Sasikumar, S. Ayyasamy, S. Smys , S. N. Sivanandam

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1008-1011

 

ABSTRACT
Resource sharing and intruders detection is the most important task in the peer to peer overlay network. Due to the distributed architecture, intruders can affect the data easily. All the nodes act as client as well as server, so resource sharing is difficult one in peer to peer overlay networks. To avoid these issues, proposed a new architecture as Secure Grouping Management Architecture (SGMA). This proposed Secure Grouping management architecture divides the network vertically and form the group with group head. Group head is used to sharing the resources as well as detect the intruders. Experimental results have analyze the performance of the Secure Grouping management architecture using network simulator. Simulation results have shown that the proposed Secure Grouping management architecture increases the network performance by decreasing the drop rate, delay and routing overhead.

 

αAB-SETS IN IDEAL TOPOLOGICAL SPACES

 

Authors:K. V. Tamil selvi, P. Thangaraj, O. Ravi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1012-1019

 

ABSTRACT
The aim of this paper is to introduce αAB-sets in ideal topological spaces. The relationships between the class of αAB-sets and the related sets are discussed.

 

APPLICATION OF ANN TECHNIQUE FOR THE PREDICTION OF GLOBAL SOLAR RADIATION FOR SOLAR THERMAL SYSTEMS

 

Authors:*N. Premalatha, Dr. A. ValanArasu

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1020-1026

 

ABSTRACT
Generally, it is essential to expand the knowledge of variation in global solar radiation for effective utilization of solar energy equipment. However, in most of the places, measurement of solar energy potential by direct method is not widely available due to the cost and maintenance of measuring equipment. To predict the daily average global solar radiation (GSR) in the present work, ANN model was developed, trained and tested by using four different algorithms like, levenberg-marquardt (LM), gradient descent (GD), resilient back propagation (RP) and scaled conjugate gradient (SCG) algorithm. In order to train and test the ANN model, the data measured from Madurai city, located in Tamilnadu state, southern part of India was utilized. From the obtained results, it is very clear that, ANN model trained and tested by levenberg marquardt (LM) algorithm, outperforms the other cases with minimum RMSE, MAE and maximum linear correlation coefficient (R). The MAPE was calculated for the LM algorithm and the result was compared with other similar studies. Therefore the developed ANN model (LM algorithm) in the present work can be used for estimating daily average GSR accurately by using various meteorological parameters of Madurai city, located in Tamilnadu state, southern part of India.

 

EXPERIMENTAL ANALYSIS ON RECYCLED PLASTIC REINFORCED CONCRETE

 

Authors:T. Baskaran,R.Vanitha, A.K.Priya,P.M.Priyanka

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1027-1029

 

ABSTRACT
Fiber Reinforced Concrete (FRC) is a composite material consisting of cement based matrix with an ordered or random distribution of synthetic plastic polymer. Dumping of the waste plastics is one of the major ecological crisis. Polyvinyl chloride (PVC's) is the synthetic plastic polymer and comparatively low cost, biological and chemical resistance and workability have resulted in it being used for an extensive range of applications. It is used for sewerage pipes and other pipe applications somewhere cost or susceptibility to corrosion confines the exploit of metal. To evade this toxic waste disaster, many new products are being produced from waste and used plastics. Due to lack in construction materials the Indian construction industry is facing several troubles. In order to arrest the cracks and to improve the properties of concrete, small, closely spaced and uniformly dispersed recycled plastic were used with concrete. In this research work PVC is used in concrete with various propositions (1% to 4%) and cubes, cylinders and prisms were casted for analyzing its compressive, flexural and split tensile strength of the concrete to solve the deficiency of construction material usage and plastic disposal problem. The research investigations were carried out on a M30 mix and tests have been carried out as per suggested procedures of applicable codes. Increase in curing period shows in improving the compressive strength of concrete. The outcome of this research gave the optional way for utilizing used plastic material as an effective construction material. Also harmful plastic material becomes eco friendly material for construction purpose.

 

SCORE LEVEL FUSION BASED OTP GENERATION USING BIOMETRIC ECC

 

Authors:*R.Sujatha, Dr.M.Ramakrishnan, ML. Suchithra

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1030-1035

 

ABSTRACT
Palm lines are the unique biometric characteristics of an individual and hence can be reliably used for authentication purposes. These biometric characteristics are similar in both hands and hence multi instance biometric features that can be fused together with much reliability. They are fused together by score level fusion. Score level fusion is a method in which the weights of multiple Biometric features are compared against the images in the database and a weight will be generated. If the weight is above threshold, then the user will be recognized and the first level of authentication will be completed. The second level of authentication for a user is done using One Time Password. But normally these are just random numbers that can be easily judged and hence may pose threat to some sensitive information. As a solution for this problem, the scheme proposed in this paper makes use of Elliptic Curve Cryptography, a public key cryptographic method, to generate One Time Password. As Elliptic Curve Cryptography is a trap door function it is difficult to hack them in the reverse direction due to computational complexity and the uniqueness of the final fused weight value that is used as private key. Hence this proposed system is more reliable than any other conventional systems.

 

SIMULATION AND ANALYSIS OF MULTIVARIABLE CONTROL SCHEME FOR FLUID CATALYTIC CRACKING UNIT

 

Authors: Elamurugan P*, Siva K** and Shennes Mathew*

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1036-1039

 

ABSTRACT
The proposed paper has been inspected and reviewed the published experimental results related to reactor-regenerator system of fluid catalytic cracking unit (FCCU). It also focuses the limitations of existing methods for controlling the temperature in the reactor-regenerator system. In the present study, complex dynamic model of the reactor–regenerator system has been developed and subsequently used with the controller. FCC process is considered as a primary conversion unit in a unified refinery and ideal FCC operation can have a significant impact on the refinery profitability. Control of the FCC continues to be a challenging and significant problem due to interaction between the loops. So there is a real need for a control logic that effectively utilizes the available process measurements and model information characteristic of the process. Internal Model Controller (IMC) discloses the set point tracking Stabilization can be achieved through simulated implementation of a model predictive control (MPC)..

 

CONTROL OF CURRENT IN PARALLELED CONNECTED CONVERTERS FOR STANDALONE PHOTOVOLTAIC SYSTEM

 

Authors:M.R.Geetha, Dr.R.Suja Mani Malar, Dr.T.Ahilan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1040-1048

 

ABSTRACT
This paper proposes a new scheme for avoiding sharing of load current in two or more parallel connected converters for standalone photovoltaic system. Because of different circuit parameters in parallel connected converters, no equal sharing of load current takes place. In order to achieve correct sharing of load current new current sharing scheme is proposed. The proposed scheme doesn’t have devoted regulator for current sharing. Instead sharing of load current occurs by means of sensing input voltage, output voltage and load current. This results in round-about duty ratio adjustment. The proposed scheme is useful in diminishing system complexity. To control output voltage, fuzzy logic controller (FLC) is used. The proposed system is simulated in Matlab and simulation results show that the proposed system is useful in obtaining correct sharing of load current

 

OPTIMAL ECC BASED DUAL ENCRYPTION TECHNIQUE FOR DATA SECURITY IN CLOUD

 

Authors:Gnanaprakasam T, Dr. Raivkannan A

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1049-1055

 

ABSTRACT
In this research we have intend to propose a method for data security in cloud using dual encryption technique. Initially the proposed method has three phases namely setup phase, key generation phase and storage phase. At first setup phase the data owner is reveal their information. Next key generation phase, in this phase the data owner get their key. If the data owner stores the sensitive data to cloud server, the data owner is encrypt their document in our proposed method we use double encryption technique to encrypt the user document. Here RSA and Optimal Elliptic Curve Cryptography (OECC) algorithm is used to encrypt the document with high security. Here cuckoo search algorithm is used to identify the optimal key in ECC. After the encryption the document stored in the cloud along with an access structure that specifies which types of user are allowed to access the document. To reduce the computational cost of the proposed method, here we have to split the information and stored in the two different servers. After that, we have applied greedy selection, to find the optimal results from the two servers. The performance of the proposed method is evaluated by encryption and decryption time. The proposed method is implemented in Cloud sim with the help of JAVA platform.

 

AC–AC MOBILE UTILITY POWER UNIT USING MATRIX CONVERTER

 

Authors:*Jamna.A, V.Jamuna

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1056-1060

 

ABSTRACT
This paper presents the design of a mobile utility power supply suitable for aerospace applications. The proposed converter can supply high-quality 110V, 400Hz output voltage regardless of any change in the input supply or load. Instead of a traditional back-back converter structure, a matrix converter functions as the main power conditioner. To eliminate the spikes produced at the output of the matrix converter due to the RL load, a safe commutation strategy is proposed. An improved switching control algorithm is developed to eliminate the voltage spikes across the switches, without using a snubber circuit. To control the output voltage, a refined control structure for the matrix converter is designed and simulated. Behaviour of the system is substantiated by the MATLAB / Simulink, and the hardware is realized using an embedded controller..

  STUDIES ON DIFFUSION BONDING OF AA7075 ALUMINIUM ALLOY AND AZ80 MAGNESIUM ALLOY
 

Authors: R.J. Golden Renjith Nimal, M.Siva Kumar and G. Esakkimuthu

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1061-1062

 
ABSTRACT
075 Al alloy and AZ80 Mg alloy were joined by diffusion welding technology with various welding temperatures and lengths. Scanning electron microscopy examination, shear tests and microhardness evaluation were performed on the samples interface to determine the effect of welding temperatures and ranges on the weldability. The results demonstrate that the AZ80 Mg/7075 Al composite plates are braced well and the intermetallic stages, for instance, Al12Mg17 and Al3Mg2 inside the joint zone structure. It is found that in light of the grain coarsening and the course of action of delicate blends, high welding temperatures and long welding lengths result in a decrease of shear quality and development of interfacial welding hardness. The base shear nature of 15 MPa nearby the best microhardness of HV 176 are gotten for the scattering couple took care of at 450 °C for 120 min. It is revealed that enhancing the temperature and picking fitting holding time makes an amazing augmentation of interfacial welding thickness. The result exhibited that the microhardness of the transition layer was higher than those of Al and Mg base metals in light of intermetallic stages. Mechanical properties of the strengthened joints were looked into by shear quality, the outlines of shear fracture showed a brittle fracture which happened at the joint interface. .
 

EMANATING INTERNATIONAL ADVERTISING THROUGH MODERN TECHNOLOGY

 

Authors:*Dr. A. Nithya, Dr. S. Gobinath

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1063-1065

 

ABSTRACT
Media is the most popular way for any kind of introduction, and it is also the most effective method utilized in the advertising. In this age of media war, it is essential to have a strong campaign through advertisement for the promotion of each and every company. The purpose of this Article is to know about various media. And to find out which media is best to attract the more number of population at a stretch. Our study includes new media of advertising like Digital Signage , Floor Graphics , Ads in Light Emitting Capacitor (LEC) , Table Talk . This study has concentrated on types of future media and its merits. The data were secondary collected from online resources and other books and journal. After collecting data it is revealed that major and best media to capture huge market is digital Signage, floor graphics etc. Hence this study will help the advertiser, media owner and marketer to develop their advertising strategy through various modes of media. This article will also help the researcher to know about various ad and its data. To tell new about this article is that the next generation of advertising is also took a concrete shape where ideas of new media were also discussed.

 

A NOVEL GDI-MUX BASED LOW POWER-HIGH SPEED 1-BIT FULL ADDER

 

Authors:*P.Ponsudha, Dr. KR Santha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1066-1071

 

ABSTRACT
In this work, a novel design for a 1-bit full adder featuring Gate Diffusion Input design technique (GDI) is presented. GDI technique is a power efficient technique for designing digital circuit as compared to most commonly used CMOS techniques. The new full adder is based on a novel Gate Diffusion Input- Multiplexer that generates full voltage swing output. Many of the previously reported full adders suffered from the problems of low swing and high noise when operated at low supply voltages.
The proposed GDI–MUX based 14 T full adder (GDI-MBA) operates at low voltage with excellent power consumption, signal integrity, driving capability, high speed and also provide full voltage swing. To evaluate the performance of the new GDI-MUX full adder, the design has been embedded in 16-bit ripple carry adder. The studied circuits are optimized for energy efficiency at 0.18 µm PD SOI CMOS process technology. The comparison between the new full adders with standard full adder cell shows an excessive improvement in terms of power, delay and power-delay-product..

 

ENHANCED SOFTWARE ENGINEERING PROCESS MODEL FOR GREEN ENVIRONMENT IN VIEW OF ACHIEVING SUSTAINABILITY

 

Authors:Dr. K.Mahalakshmi, S.Manikandan, S.Nithyanantham

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1072-1079

 

ABSTRACT
Information Communication Technology (ICT) strongly affects manageable improvement due to its rising requests for vitality and assets required when building equipment and programming items. The greater part of the endeavors spent on Green ICT/IT have been devoted to tending to the impacts of equipment on the earth yet little have been considering the impacts of building programming items also. Productive programming will in a roundabout way expend less vitality by spending less equipment hardware to run. Our commitments in this paper are given to building a two level green programming demonstrate that covers the supportable life cycle of a product item and the product devices advancing green and earth practical programming. In the principal level we propose another green programming designing process that is a half and half process between successive, iterative, and dexterous improvement procedures to create a naturally manageable one. We propose either green rules or green procedures for every product stage in the building process. We add to the product life cycle the necessities stage and the testing stage. We likewise incorporate into the principal level a complete rundown of measurements to gauge the greenness of every stage regarding the main request impacts of ICT on the earth for a green program building process. No exertion has been put before in outlining a green programming designing procedure. The second level clarifies how programming itself can be utilized as an apparatus to help in green registering by checking assets in a vitality productive way. At long last, we appear and clarify connections that can be found between the two levels in our proposed model to make the product designing procedure and item green and manageable.

 

ANALYSIS AND DESIGN OF DUAL SWITCH Z-SOURCE CONVERTER WITH REGENERATIVE SNUBBER

 

Authors:P.R.Sivaraman,S.Bhuwaneshwari, C.Kamalakannan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1080-1082

 

ABSTRACT
This paper presents a dual switch Z-Source Converter with regenerative snubber. The existing system has reverse recovery of current in diode, large input current and leakage inductance. The proposed Z-Source Converter has no reverse recovery problem and highly boosted DC voltage can be achieved using its impedance network. The leakage inductance in the impedance circuit can be fed to the switch using regenerative snubber circuit to reduce switching loss, voltage stress and conduction loss. Then obtained DC voltage can be converted into AC voltage using single phase full bridge inverter and fed to the resistive load. The diode gets replacement with one additional semiconductor switch to avoid reverse recovery problem in the proposed system. In the closed loop operation the DC link voltage can be controlled using PI controller to avoid damage of the load. The results of simulation and hardware of the proposed system were shown and compared to obtain the system performance which validates its design and working.

 

DESCRIPTION OF FATIGUE CURVE PARAMETERS OF 6061- T6 ALUMINIUM ALLOY USING EXPONENTIAL FUNCTION

 

Authors:J.Selvakumar, M.D.Mohangift, Dr.S.Johnalexis

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1083-1085

 

ABSTRACT
Aluminium alloys are widely used in aerospace applications and energy generation due to its strength with respect to low densities. The objective of this investigation is to determine the fatigue strength of Al6061-T6 alloy and the parameters of exponential function which used for description of a fatigue curve. The fatigue curve described by exponential function is fits experimental points very closer. The method for determination of exponential function parameters from lowest and highest stress levels will guarantees the correspondence between extreme stresses. .

 

INFLUENCE OF CURCUMIN EXTRACT ON THE CHARACTERISTICS OF COPPER SULPHIDE THIN FILM PREPARED BY SILAR METHOD

 

Authors:S. Syed Zahirullah, J. Joseph Prince and S Rajendran

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1086-1091

 

ABSTRACT
Copper sulphide thin film has been deposited on ITO glass plate by SILAR method, using copper sulphate solution as cationic precursor and sodium sulphide solution as anionic precursor. The film has been characterized by uv-visible absorption spectroscopy, uv-visible transmittance spectroscopy, photoluminescent spectroscopy and FTIR spectroscopy. Copper sulphide thin film has also been prepared in presence of curcumin extract. When Curcumin is incorporated onto the thin film of CuS, the film becomes more thin ;the film has more stoichiometry; the band gap decreases from 1.88 eV to 1.77 eV and the film could be used as a window layer in hetero junction solar cells. The copper suphide thin film and the curcumin incorporated copper sulphide thin film are found to be uv- fluorescent. They emit fluorescence in a wide range such as red, cyan, orange and blue. The copper suphide thin film and the curcumin incorporated copper sulphide thin film are found to be uv- fluorescent. They emit fluorescence in a wide range such as red, cyan, orange and blue. These thin films may be used in various fields. The red emission will have its potential applications in Plasma display Panel (PDP), Field Emission display (FED) and even in red nano laser. The cyan emitting phosphors have great potential of applications in field emission display as well as light emitting diode. Orange emission from CuS thin film may find application in microscopical diagnosis of malaria. Red fluorescence can be used in imaging applications. Cyan emission may have potential application in detection of two or more events in the same cell or cell population. Blue emitting materials may be used in blue emitting diodes, flat panel displays and solid state lighting sources..

 

A DECENTRALIZED TWO PHASE RESOURCE DISCOVERY MODEL FOR PEER-TO-PEER GRID ENVIRONMENTS

 

Authors:Vijaya Nagarajan*, Maluk Mohamed M.A

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1092-1095

 

ABSTRACT
Locating and retrieving an appropriate resource is a big challenge in large scale dynamic grid environments. Traditional centralized and hierarchical resource discovery approaches do not ensure scalability and are prune to bottlenecks. In this paper, a decentralized two phase resource discovery model is proposed which exploits super-peer overlays to achieve scalability and dynamism. The objective of this super-peer based resource discovery approach is to reduce the resulting path length of a query message, query response time, resource allocation time and cumulative network load generated by the query messages in the network. In the first phase, a minimum spanning tree is constructed using prims algorithm and the query message is passed to the best neighbor super-peer. The selection of best neighbor super-peer depends on the network bandwidth. In the second phase, the super peer selects the suitable resource which has maximum query hits, minimum jobs in queue, and maximum availability. Simulation results prove that the proposed protocol minimizes the allocation time, response time and network load.

 

FPGA BASED SIGMA DELTA MODULATION FOR DC-DC FLYBACK CONVERTER

 

Authors:Dr.K.R.Aravind Britto,Dr.R.Vimala

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1096-1100

 

ABSTRACT
This paper proposes the FPGA-Based pipelined sigma delta modulation for conducted-noise reduction in dc-dc fly back converters. Traditionally, the implementation of the switching-mode power supply (SMPS) has been accomplished using analog control circuits. However, the field-programmable gate array (FPGA) is much flexible than analog control circuits, becoming lower cost, and applicable for power supply applications. The implementation of the SMPS has been accomplished using FPGA-based digital controller. This paper proposes a digital control system that adopts a new Adaptive DPWM topology to achieve high resolution without clock surpus. Effective prototype DPWM along with a digital neural network control algorithm is verified by using a Xilinx Spartan-3E FPGA on a Fly-Back converter. Adaptive resolution of ADC is introduced as a digital source to increase the flexible effective DPWM resolution, thus enhancing limit cycling, and enabling low-power, small-area DPWM implementations. The proposed DPWM takes advantage of Digital Clock Manager (DCM) phase-shift characteristics which is available in high speed digital circuit and combines a counter-comparator with a Multi-stage-noise-Shaping (MASH) pipelined Delta-Sigma modulator. Utilizing the selectable frequency regulator to optimization of ADC resolution, we can switch to the high-resolution ADC speed up the feedback time when system tends to be unstable, or the medium resolution ADC to eliminate the power consumption when the system is stable.

 

PUSHOVER ANALYSIS OF STEEL FRAME

 

Authors:Dr.P.Eswaramoorthi, P.Magudeaswaran, A. Dinesh

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1101-1103

 

ABSTRACT
In the present scenario, Steel framed structures plays an important role in construction industry because they are cost efficient, sustainable, durable, ductile and safe. To analyze the structure under seismic loads, the deformed geometry and the non-linear behavior of the structure is to be considered. Hence to determine the performance of the structure, non-linear or pushover analysis is performed. The pushover testing has been carried out on two frames namely Bare frame and Steel braced frame. The research concentrates on a computer based push-over analysis technique and experimental analysis for performance-based design of steel framed structures. In this present study, nonlinear analysis of Steel frame using ANSYS 14.5 under the horizontal loading has been carried out and it is validated experimentally. It is evident that the yield load & ultimate load of Steel braced frame is greater than the bare frame and the deflection of the steel braced frame is less compared to the bare frame due to increase in its diagonal stiffness. The values are validated experimentally and by stiffness method of matrix analysis..

 

PERFORMANCE OF HYBRID DF/AF RELAYING PROTOCOL FOR OPTIMUM RELAY LOCATION IN OFDM SYSTEMS

 

Authors:Shoukath Ali K and Sampath P

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1104-1111

 

ABSTRACT
Wireless relay has recently gained a lot of awareness in the research area. Relayed transmission is a way to achieve broader coverage by splitting the communication link from the source to the destination into several shorter links. In this paper, presents a performance of Hybrid Decode and Forward / Amplify and Forward (DF/AF) relaying protocol in terms of average Signal to Noise Ratio (SNR), average Capacity, and average Bit Error Rate (BER) is analyzed and compared with existing relaying protocols. The different cooperative relaying protocols is allocated three different power ratios to the source and the relay terminal for optimum relay location in wireless systems. A normalized relay distance moving from the source towards destination shows a better performance in proposed method. In addition, proposed Hybrid DF/AF relaying protocol is analyzed and compared using maximal ratio combining (MRC) technique and selection combining diversity (SC) technique. The simulation results, Show that the proposed Hybrid DF/AF relaying protocol with maximum power of achieved an improved average SNR of 47% and average capacity of 79% compared to that of AF relaying protocol. Further, the proposed hybrid AF-1+DF-3 relaying protocol using MRC achieved an improved average SNR of 4% and average capacity of 7% compared to the SC technique.

 

AN EXPERIMENTAL INVESTIGATION OF HIGH STRENGTH CONCRETE USING MANUFACTURING SAND

 

Authors:Dr. S. Suresh, J. Revathi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1112-1114

 

ABSTRACT
High strength concrete replaced manufactured sand is the more advantage in the Construction industry. The main objective of High strength concrete to develop the compressive strength of concrete by replacing Natural sand into Manufacture sand and using admixture. To examine the workability of manufactured sand and using admixture in concrete. To investigate the performance of this concrete terms of its compressive strength and split tensile strength. This paper puts forward the applications of manufactured sand as an attempt towards sustainable development in India. It will help to find viable solution to the declining availability of natural sand to make eco-balance. Manufactured sand is one among such materials to replace river sand, which can be used as an alternative fine aggregate in mortars and concretes. The use of manufactured sand in concrete is gaining momentum these days. The present experimental investigations have been made on concrete using manufactured sand as fine aggregate and observed the effects of crushed manufactured sand on strength properties of concrete.

 

EXPERIMENTAL INVESTIGATION ON MICROSTRUCTURE AND MECHANICAL BEHAVIOUR OF STIR CAST METAL MATRIX COMPOSITE AA6061 WITH MWCNT

 

Authors:K. Senthamarai and P. Marimuthu

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1115-1117

 

ABSTRACT
AA6061 Metal Matrix Composites (MMC)’s are quiet popular in engineering applications because of low density and high stiffness. Carbon Nanotube of late, has emerged to be an excellent reinforcement material for aluminium based metal matrix composites. The present work attempted to develop AA6061 based MMC’s using multi wall Corban NanoTube for reinforcement using stir casting techniques. The SEM images and optical micrograph image microstructure details are presented for the various compositions of MMC’s have been developed. From the SEM images, microstructure of composites is observed that there is a uniform distribution of reinforcement and good bonding exists between the MWCNT and the AA6061 matrix, establishing the stir casting technique for production of AA6061-MWCNT metal matrix composites. The micro hardness and impact strength is increased from the parent metal. The ultimate tensile strength is also increased significantly. Microstructure and mechanical properties were studied for the developed MMC’s using SEM images, optical graph image and mechanical testing equipment..

 

NUMERICAL AND EXPERIMENTAL STUDY ON ENHANCEMENT OF ELECTROCHEMICAL MACHINING PERFORMANCE BY BAFFLED TOOL

 

Authors:*V.Sivabharathi, P.Marimuthu, S.Ayyappan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1118-1125

 

ABSTRACT
Simultaneous improvement both in material removal rate (MRR) and smooth surface roughness (Ra) of electrochemical machining is achieved through the efficient removal of the products of reaction and joule’s heat generated in the inter-electrode gap. The high-velocity jet applied in the inter-electrode gap cannot completely remove the sludge, which leads to poor MRR and Ra. The turbulence of electrolyte flow is enhanced using serially arranged baffles inside the tool to improve the removal of the sludge. A numerical 3-D flow field has been constructed for the geometrical model of inter-electrode gap and cathode tool, and then the model was simulated. The effect of baffles on the electrolyte flow field has been examined according to the final outcome of numerical simulation. In turbulent flow, maximum MRR of 0.263 g/min was obtained in comparison to 0.173 g/min with constant electrolyte. The substantial decrease in Ra was also noted in all cutting conditions. It was realized that the tool design with baffles can be used to enhance MRR and good Ra value.

 

OPTIMIZATION OF MACHINING PARAMETERS FOR MINIMIZING SURFACE ROUGHNESS IN TURNING OPERATIONS OF GFRP ROD BASED ON RESPONSE SURFACE METHODOLOGY

 

Authors:P. Raveendran and P. Marimuthu

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1126-1129

 

ABSTRACT
On Glass fiber reinforced polymers (GFRP) material, machining is difficult to carry out due to its non homogenous structure of material. However, the machining of GFRP is desirable to have the dimensional precision in engineering applications. Optimal machining parameters have to be determined to achieve good surface finish. Surface roughness is a great influence on the performance of the mechanical parts and on the production costs. Hence optimization of key parameters is essential to achieve minimum surface roughness for the quality of product. Design of experiments has been used to examine the effect of the main turning parameters such as cutting speed, feed and depth of cut on the surface roughness of GFRP rod. This paper focuses on the study of machining parameters to minimize the surface roughness on turning GFRP rod with coated tool of TiCN/TiN. using Response Surface Methodology (RSM). .

 

PARAMETRIC OPTIMIZATION OF ASPECT RATIO ON CARBON FIBER REINFORCED POLYMER BY USING TAGUCHI METHOD

 

Authors:D. Rajkumar, P. Ranjithkumar, and C. Sathiya Narayanan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1130-1132

 

ABSTRACT
This article presents the influence of machining parameter are cutting speed, feed rate and drill diameter in obtained aspect ratio of drilled microhole. In this work, optimum machining parameters were found out for carbide drilling tool in micro-drilling processes in CFRP composite. Drilling of micro-holes with 0.3 mm, 0.4 mm and 0.5 mm drill tools were performed with various cutting speeds and feed rates. It has been decided to find a relationship among the considered parameters namely cutting speed, feed rate and drill diameter with the induced aspect ratio in composites. The relationship has been attained by linear regression and the values are compared with experimental outcomes. From the analysis found that the aspect ratio is mostly influenced by small drill diameter..

 

DESIGNING OF 4-CHANNEL DROP FILTER BASED ON SQUARE RESONANT NANOCAVITY

 

Authors:Venkatachalam Rajarajan Balaji, Mahalingam Murugan, Savarimuthu Robinson

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1133-1137

 

ABSTRACT
We have proposed a four-channel dense wavelength division multiplexing (DWDM) filter, established on two dimensional photonic crystal square resonant nanocavity. To design the demultiplexer, it contains bus/drop waveguides and four resonant cavities. The bus/drop waveguide designed with line defect .The square resonant cavity designed using inner pillars, outer pillars and coupling pillars. Each and every inner pillars and coupling pillar radius proportional to four unique wavelengths (1551nm, 1552nm, 1553nm, and 1554nm) with 1nm channel spacing which is suitable for DWDM applications. The simulation outcomes done with Finite Difference Time domain (FDTD) process, in our proposed design an average transmission efficiency, crosstalk, high-quality factor and spectral linewidth is about 95%,-37dB , 7770,0.2nm.The proposed footprint dimension is about 395um2,for this reason it's more interested to work in Photonic integrated Circuits(PICs).

 

TWO LEVEL CLUSTERING OF WEB LOG FILES TO ENHANCE THE QUALITY OF USER DATA

 

Authors:DT. Gopalakrishnann, Dr.P.Sengottuvelan, Dr A Bharathi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1138-1144

 

ABSTRACT
Web Usage Mining is the extraction of data from the web log files. Usually web log files have many irrelevant data. Therefore, it requires several steps to enhance and improve the quality of the data, as the final result of web usage mining depends on the quality of the data given as input. In order to overcome this problem, a two level clustering approach is been proposed in this paper. First, data is been collected from the web server. Then, preprocessing is done in four different levels such as, data cleaning, user identification, session identification and path completion in order to remove the irrelevant data from the log files. Then first level clustering is done based on the K – medoids clustering Technique followed by a second level clustering on the web log data.

 

MATHEMATICAL ANALYSIS OF MODULAR MULTIPLICATION FOR KEY EXCHANGE IN WIRELESS NETWORK

 

Authors:T.Kowsalya, Dr. S. Palaniswami

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1145-1148

 

ABSTRACT
Power reduction in low power Wireless Personal Area Network (WPAN) is one of the challenging research. The objective of a research is to develop a multiplier module which reduces the power and time delay. The multiplier module finds one of the applications in cryptography. In Cryptography, One of the fundamental operations is modular operation which is used in key exchange and other multiplier operations which involves multiplication. Since modular exponentiation involved in large number of repeated multiplication, Montgomery modular multiplication which reduces the computational complexity is widely used to find the quotient. One of the challenging issues in the Montgomery modular multiplication is the processing time is to be reduced. In order to reduce the number of multiplications, several techniques like sliding window, signed-digit recoding and common multiplicand multiplication (CMM) were analysed. After carefully analysing the algorithms and finding their pros and cons a novel Montgomery modular multiplication is proposed and corresponding architecture is developed and implemented. The implementation result says that the time delay and power consumption is drastically reduced. Hence it is proposed for key exchange algorithm in a wireless personal area networks. The proposed algorithm have successfully implemented and the security, power consumption and time delay is analysed.

 

RETROFITTING OF REINFORCED CONCRETE BEAM USING DIFFERENT RESINS BONDED GFRP LAMINATES

 

Authors:K.Mohandas, G.Elangovan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1149-1155

 

ABSTRACT
The main objective of the experimental work describe in this paper was investigate the efficiency of GFRP laminates in retrofitting of simply supported RC beam designed with under reinforcement condition. Fiber Reinforced Polymers (FRP) sheets or plates are appropriate to this application due to their high quality weight proportion, great exhaustion properties, and phenomenal imperviousness against corrosion. The beam loaded under two pointing loading condition up to crack appearance, present structures are partially injured and rehabilitation part of the sustained concrete beam retrofitted with Glass Fiber Reinforced Polymers (GFRP) covers flexures or shears. Beams are retrofitted in a single layer of GFRP with various Resin (epoxy, GP, ISO). The samples are set for curing in around 28 days and to assess the compressive strength for concrete cubes, flexural strength of reinforced concrete beam. Obviously, twelve beams, cubes are attempted and the particular readings are recorded. The beams and cubes are full shape wrapping technique and tried for flexural and compressive conduct assessment respectively. The result indicated that significant increase in the flexural strength and improves stiffness, energy capacity and overall structural behavior of beams.

 

COMPARISON OF VOLTAGE AND FREQUENCY REGULATION OF SELF-EXCITED INDUCTION GENERATOR USING DIFFERENT CONTROL TECHNIQUES FOR SOLID STATE VOLTAGE REGULATOR

 

Authors:T. Elango, A.Senthil Kumar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1156-1162

 

ABSTRACT
An investigation of a three phase solid state voltage regulator (SSVR) control using PWM, reference source current based hysteresis current control and one cycle control (OCC) techniques are considered to regulate the voltage and frequency of a self-excited induction generator (SEIG) is presented. It is isolated from the grid with two loop (voltage/frequency) control supply electricity to the remote communities. In order to solve the above cited problems a D.C. chopper circuit and VSC is implemented. Control of VSC operation controls the reactive power consumed both SEIG and loads there by voltage is regulated. A d.c chopper circuit having dump load control the active power generated by the SEIG, therefore frequency is maintain constant. Along with frequency control through single point operation of SEIGs driven by wind turbines, the electronic controller (EC) comprises with VSC control meets the power quality standard an IEEE- 519 and it keeps the total harmonic distortion (THD) of the terminal voltage and generator currents within the limit of 5%. Simulation results are presented to demonstrate the capability of proposed controller for an isolated generating system.

 

PERFORMANCE ANALYSIS OF THE MECHANICAL BEHAVIOUR OF SEAMS WITH VARIOUS SEWING PARAMETERS FOR NYLON CANOPY FABRICS

 

Authors:D. Vijay Kirubakar Raj, M. Renuka Devi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1163-1172

 

ABSTRACT
In this study, our purpose is to make available to the parachute industry tools to predict behaviour of certain textile materials. In addition to this, it is desired to reveal and explain the basic requirement criteria for proper textile material selection. The strength of an assembly as a whole is directly dependent on the strengths of the various joints and seams required to assemble the larger structure. Keeping in mind the complex problem of parachute construction, this research seeks to enlighten the industry about the performance of seams in Nylon woven canopy fabrics. Five factors have been studied: Different types of weave (plain, rip-stop and twill), density (number of stitches per centimetre), different rows of stitches with lapped seams, different types of stitches (lock stitch, chain stitch and zig-zag) and seam direction (warp, weft and bias direction). Two responses have been analysed, the seam breaking force and the seam efficiency (% ratio of seam strength to fabric strength). The test results were subjected to an analysis of variance and the seam strength proved to vary significantly not only with the primary parameters, but with the interactions of the primary parameters as well. That is seam strength (and seam efficiency) changes with each primary parameter but it changes in a different manner when other parameters change. Multiple regressions have been used to construct preliminary predictor equations for seam strength & efficiency and investigations to provide better equations are in progress.

 

GALLERY SCALING FOR EFFICIENT POSE INVARIANT FACE RECOGNITION

 

Authors:Kavitha. J, Mirnalinee. T.T

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1173-1177

 

ABSTRACT
A face recognition is a computer application system capable of identifying or verifying a person from a digital image or a frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a face database, where the challenge occurs for the face recognition system in the real time scenario i.e., the size of the gallery is huge and takes more computational time by comparing with the multiple / repeated images of a person available in the gallery. The recognition problem is made much difficult by the huge variability in head rotation and tilt, lighting intensity, facial expression, aging, etc. Hence it is a necessary task to reduce the size of the gallery with Image Quality measure in terms of Yaw, Pitch, Roll pose distortions for efficient comparison. For the practical scenario of face recognition system in order to increase the efficiency of recognition rate the gallery must have either mugshot images or huge number of images for training. The proposed method was tested on LFW, PUB-FIG databases. Promising results were obtained when handling the huge gallery and this approach can be combined with any of the state-of the art face recognition approaches.

 

OPTIMIZATION OF ENERGY CONSUMPTION IN A SMART CLASS ROOM OF A SCHOOL BUILDING WITH MECHANICAL VENTILATION SYSTEMS

 

Authors:V. Thiyagarajan, T. Tamizharasan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1178-1181

 

ABSTRACT
In this study, optimization of energy consumption in a smart class room with mechanical ventilation systems is performed with grey relation technique. Mechanical ventilation systems include air conditioning unit and ceiling fans. Optimization of energy consumption is made without sacrificing the indoor thermal comfort. Hence, energy consumption and indoor thermal comfort are identified as output responses and the control factors are air conditioning system tonnage, set point temperature, number of ceiling fans and fan speed. Taguchi’s L9 orthogonal array is employed to design the set of experiments and the output responses are predicted through energy meter and numerical simulation respectively. Best parameters offer energy consumption as 1.564kW and indoor thermal comfort index, Predicted Percentage dissatisfaction as 5.2%.

 

EFFECT OF ADDITIVES ON LOW EMISSION CHARACTERISTICS OF A DI CI ENGINE FUELLED WITH RUBBER SEED BIODIESEL

 

Authors:N. Subramonia Pillai,P. Seeni Kannan,R. Maheswaran, I. Balasubramanian*

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1182-1187

 

ABSTRACT
Environmental protection by favorable emissions was the main objective of this investigation. A naturally aspirated CI engine, fuelled with 20% of rubber seed biodiesel blended with diesel (B20) was investigated along with the three different proportions of combined additives (pentanol and mentha piperita leaves extract) viz. B20A1, B20A2, B20A3 and was compared with base fuel diesel. Performance and emission characteristics of all the test fuels were analyzed. Comparing with B20, B20A2, exhibits higher brake thermal efficiency of 27.98% and 4.83% lesser brake specific fuel consumption, whereas engine exhaust temperature was slightly higher. All the additive mixed blends emit lesser CO, HC, and smoke emissions, especially B20A2. In addition, B20A2 shows 12% reduction of NOx than B20. Experimental results prove that B20A2 blend was found to be a novel environmentally friendly fuel with most favorable emissions.

 

EVALUATION OF MAHUA OIL BIODIESEL AND ITS BLENDS ON PERFORMANCE AND EMISSION CHARACTERISTICS OF DIESEL ENGINE

 

Authors: R.T. Sarath Babu, M. Kannan, P. Lawrence

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1188-1190

 

ABSTRACT
Diesel engines are major contributors of many air polluting exhaust gasses such as carbon monoxide, unburned hydrocarbons, oxides of nitrogen and other harmful compounds. It has been shown that formation of these air pollutants can be significantly reduced by using biodiesel as alternate fuel. This study presents the results of experimental investigation on the effects mahua oil biodiesel and its blends on performance and emission characteristics of diesel engine. Biodiesel from mahua oil was prepared through transesterification process with low molecular weight alcohols and sodium hydroxide. Experiments were conducted to evaluate the performance and emission parameters of a single cylinder, four stroke, water cooled, direct injection diesel engine. The results were analyzed and compared with diesel operation.

 

SYNTHESIS AND STRUCTURAL CHARACTERIZATION OF NANO STRUCTUED ZINC SULPHIDE THIN FILMS GROWN ON GLASS SUBSTRATES BY CHEMICAL BATH DEPOSITION

 

Authors:Hariharan Gajendiran, Shenbaga Vinayaga Moorthi Navneetha Krishnan,
Dharani Arasangudi Ponnuswamy

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1191-1194

 

ABSTRACT
Nano Crystalline Zinc Sulphide thin films were prepared by chemical bath deposition technique using aqueous Zinc Sulphide and Thiourea solutions in a base medium (pH =10) at 90° C. The deposition was carried out on the glass substrate for various deposition periods from 30 to 120 min. The effect of different concentrations of complexing agent on the structural, morphological and optical properties of ZnS Nano particles was investigated. Other parameters such as solution pH, temperature and reactant concentration were kept constant for all the deposition. The Average diameter of the nano particle deposited were between 129 and 161nm, while the average roughness ranged from 58.5nm to 96.5nm. Atomic Force Microscope (AFM) images showed that the deposition time of 90min and concentration of 3M Ammonia Solution had a smooth deposition. The optical properties of ZnS thin films are found using UV-VIS Spectrophotometer. Using the transmittance spectra, the absorption coefficient is obtained as a function of photon energy and the ZnS band gap value was estimated in the range of 3.64eV – 3.96eV.

 

EXPERIMENTAL INVESTIGATION AND ANALYTICAL SOLUTION FOR GFRP YAW BEARING

 

Authors:G. Kumaresan, Dr.K.G.Muthurajan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1195-1203

 

ABSTRACT
Wind-turbine yaw drive continues to exhibit a high rate of precipitate failure in spite of routine of the best in current design practices. Since yaw bearing is single of the priciest mechanisms of a yaw drive in wind turbine, higher-than-expected failure rates increase cost of energy. Most of the snags in wind-turbine yaw drive appear to radiate from bearings. Yaw bearing is placed in the middle of the Turret and Nacelle serving of the Wind Turbine and swings survey the wind path. Nearby is a kit positioned on the external disc of the comportment and the Yaw Drive Motor is mated with this gear. The gear controls the angle control relative to the track of the wind. This bearing assembly consists of an Outer ring, Inner ring, balls, and seal. Existing yaw bearing made up of Carbon and Low Alloyed steels, High Alloyed Steels and Super Alloys. In this yaw bearing constitutes fairly accurate 25 tons of weight. So we decided to decrease the weightiness of yaw bearings spending composite materials. The modeling of yaw bearing is through using Pro-E and exhaustion lifetime and inert piling size are analyzed by ANSYS..

 

DEVELOPMENT OF 3PL WAREHOUSE FOR A BUS BODY BUILDING UNIT AT THREE DIFFERENT LOCATIONS: A CASE STUDY

 

Authors:T. Prem Singh Inbaraj, Dr.T. Christopher

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1204-1209

 

ABSTRACT
This work aimed at the development of an optimized logistics system for a real life supply chain which may further be used as a model to implement such higher level practices in similar manufacturing sectors. The Company has bus body building units at three different cities to cater the regional needs with minimum transportation cost. Since similar products are manufactured in these units, the parts stored in the raw material stores at each unit are also similar which leads to higher stock levels, low inbound consolidation effects and higher operating costs. The plan for centralizing the raw material storage and supply can lead to reduced overall stock levels, increased efficiency of operation, improvement of whole supply chain of raw materials to all divisions and high parts availability. The typical analysis of the various parts stored in three units has been carried out to ascertain the type of storage method, storage space requirement and the design of warehouse needed for the new warehouse.

 

AUTOMATIC LUMEN RECOGNITION OF THE COMMON CAROTID ARTERY IN ULTRASOUND B-MODE IMAGES

 

Authors:D.Sasikala, B.Nandhini

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1210-1213

 

ABSTRACT
Carotid artery atherosclerosis is an important cause of deathand disability due to stroke. Among patients with carotid plaques, only a few show warning events, whereas the majority present cerebral events associated with previous asymptomatic plaques. In this paper, the new method is proposed for recognizing B-mode ultrasound (US) imaging of common carotid artery (CCA) in longitude. Automatic segmentation of the arterial lumen from ultrasound images is an important task in clinical diagnosis. Carotid artery recognition, the first task in lumen segmentation, should be performed in a fully automated, fast, and reliable way to further facilitate the low-level task of arterial delineation. In this paper, a user-independent, real-time algorithm is introduced for carotid artery localization in longitudinal B-mode ultrasound images. The proposed method has four major steps. The process starts with image area selection, intensity profile (IP) signal selection, IP filtering, lumen and wall segments identification, wall recognition, segment filtering, lumen axis identification, lumen axis filtering ; This provides a medial axis with efficient lumen recognition data. The data sets used included 100 images from 25 subjects taken from three different institutions and covering a wide range of possible lumen and surrounding tissue representations. Using the optimized values, the carotid artery was recognized in all the processed images. Thus, the introduced technique will further reinforce automatic segmentation in longitudinal B-mode ultrasound images.

 

BIODIESEL PRODUCTION AND OPTIMIZATION FROM PROSOPIS JULIFERA OIL – A THREE STEP METHOD

 

Authors:M. Rajeshwaran, K. Raja,, P.Marimuthu, M.D. Duraimurugan alias Saravanan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1214-1224

 

ABSTRACT
The production of Biodiesel by the method of transesterification has been admired in the recent years due to the anxiety in the conservation of fossil fuels and due to the price hike in conventional fuel. Prosopis Julifera is a non edible feedstock found in the arid and semi-arid regions. Oil from Prosopis Julifera was extracted by the method of solvent extraction. The present work mainly concentrates on the three step process of biodiesel production from Prosopis Julifera oil .Initially the acid value of Prosopis Julifera oil was reduced below 1% from 21.85% (43.7 mg KOH/gm) by the two step pretreatment process using acid catalyst 1% v/v H2SO4. The second step is the esterification process of the product obtained from pretreatment using alkaline catalyst. The parameters such as methanol to Prosopis Julifera oil molar ratio, amount of catalyst used, reaction time and reaction temperature were studied. For the efficient conversion of Prosopis Julifera oil to methyl ester gas chromatography was used to analyse the Fatty acid methyl esters. The optimum reaction conditions of Methanol/oil molar ratio of 9:1v/v, reaction temperature of 600C, reaction time of 2 hrs and 1% w/v of NaOH usage were determined. In the acid transesterification process, the main objective for process optimization was the reduction of acid value. The process optimization was done using Response surface Methodology technique (RSM). The methyl ester obtained from the previous step was refined to produce biodiesel in the third step. The fuel properties of Prosopis Julifera methyl ester (PJME) such as viscosity, cetane number, flash point, acid value, etc were determined. The values thus found experimentally were compared according to the ASTM standards.

 

POWER QUALITY IMPROVEMENT OF GRID INTER CONNECTED HYBRID SYSTEM USING STATCOM

 

Authors:N. Prakash, V R. Balaji, M. Sudha

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1225-1233

 

ABSTRACT
A Power quality problem is an occurrence deals as a nonstandard voltage, current or frequency that results in a failure or a mis-operated in end user equipment. Utility distribution networks, sensitive industrial loads and critical commercial operations suffer from various types of outages and service interruptions which can cost significant financial losses. With the restructuring of power systems and with shifting trend towards distributed and dispersed generation, the issue of power quality is going to take newer dimensions. Injection of the wind power into an electric grid affects the power quality. The performance of the wind turbine and thereby power quality are determined on the basis of measurements and the norms followed according to the guideline specified in International Electro-technical Commission standard, IEC-61400. The influence of the hybrid energy in the grid system concerning the power quality measurements are active power, reactive power, harmonics, and electrical behaviour of switching operation and these are measured according to national/international guidelines. The paper study demonstrates the power quality problem due to installation of wind turbine and photovoltaic system with the grid. In this proposed scheme STATIC COMPENSATOR (STATCOM) is connected at a point of common coupling with a battery energy storage system (BESS) to mitigate the power quality issues. The battery energy storage is integrated to sustain the real power source under fluctuating wind power. The STATCOM control scheme for the grid connected hybrid energy generation system for power quality improvement is simulated using MATLAB/SIMULINK in power system block set. Finally the proposed scheme is applied for both balanced and unbalanced non linear loads.

 

ARTIFICIAL NEURAL NETWORK (ANN) MODELING FOR PREDICTING HARDNESS OF NI-CBN COMPOSITE COATINGS

 

Authors:T.LouieFrango, K.Ramanathan, G.N.K.RameshBapu, P.Marimuthu

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1234-1237

 

ABSTRACT
Nickel-CBN composite coatings are produced by electro deposition using conventional techniques at various cathode current densities, pH and temperature. Electro deposition was carried out from a conventional Watts bath. Natural CBN powder of 6-8 m size was used in this study. The volume fraction of CBN deposition in composite coated specimens was measured gravimetrically. An Artificial Neural Network (ANN) model was developed using 27 practical data obtained by designing an experiment with three level of experiment namely Low, Medium and High to predict the harness of CBN deposition in Ni-CBN metal matrix. Within the range of input variables for the present case (pH) = 3 to 5; current density (i) = 3 to 5 A/dm2; temperature (T)= 40 to 600C, the prediction capability of Artificial Neural Network(ANN) is very close to the experimental measurement of hardness of Ni-CBN composite coatings.

 

TITANIUM ALLOY SUBJECTED TO TENSILE TESTING UNDER AMBIENT AND CRYOGENIC CONDITIONS USING ACOUSTIC EMISSION TECHNIQUES

 

Authors:G. Vetri Chelvan, Dr.S.Sundaram*

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1238-1243

 

ABSTRACT
Titanium (Ti) alloys are strategic aerospace materials used in relatively severe working environment. Owing to the excellent properties such as high rigidity to weight ratio, elevated temperature strength, corrosion resistance and toughness in ambient as well as cryogenic environment, Titanium alloys find high technology applications in aerospace industries. As the Ti alloy finds application in aircraft engines, compressor blades and gas turbines, it is necessary to characterize the performance of this material under stress conditions. Acoustic Emission (AE) is a high sensitivity technique for detecting active microscopic events in a material under stress. The processes that are capable of changing the internal structure of a material such as dislocation motion, directional diffusion, creep, grain boundary sliding and twinning which are usually associated in plastic deformation and fracture are the sources of Acoustic Emission. Thus, using AE signals, it is possible to evaluate the performance of material under stress. The data acquired can be used to predict the performance of products made of Ti alloy. With this view, the acoustic emission response of Ti alloy subjected to tensile testing under ambient and cryogenic conditions have been studied. The fractured surfaces are examined through Scanned Electron Microscopy (SEM) and corresponding micrographs are also presented.

 

FRESH AND HARDENED CONCRETEPROPERTIES OF HYBRID FIBRE REINFORCED CONCRETE INCORPORATING WITH COPPER SLAG AND SILICA FUME

 

Authors:Dhanaraj R,Sakthieswaran N, Suresh P

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1244-1247

 

ABSTRACT
This article deals about the fresh and hardened properties of hybrid fibre reinforced concrete incorporating with copper slag and silica fume. Here the replacement of copper slag was 10, 20 and 30% by the weight of sand and silica fume of about 7% by the weight of cement. Then the addition of three types of fibers such as steel fibers, coir fibers, basalt fibers was totally 3%. M40 and M50 grade concrete were used. The workability and hardened concrete properties such as compressive strength, split tensile strength, flexural strength were studied. The mix containing 20% copper slag and 7% silica fume has the maximum compressive strength of about 73.88 Mpa and 87.05 Mpa for both M40 and M50 grade respectively. The split tensile strength of mixes (TR5, TR6 and TR7 in M40 grade concrete and TR18, TR19 and TR20 in M50 grade concrete) containing 1.5% steel fibers have 21-23% and 17-19% than control mix respectively. The flexural strength of mixes (TR5, TR6 and TR7 in M40 grade concrete and TR18, TR19 and TR20 in M50 grade concrete) containing 1.5% steel fibers have 16-20% and 15-18% than control mix respectively.

 

ASSESSMENT OF GROUNDWATER QUALITY IN THE DISTRICT OF ERODE, TAMIL NADU, INDIA

 

Authors:O.Ganeshbabu, M.C.Sashikkumar, M.Vijayaraj, K.Gokulakrishnan, N.Sakthieswaran

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1248-1252

 

ABSTRACT
This study was conducted to evaluate factors regulating groundwater quality in and around Erode District, Tamilnadu, India.The Erode district covers an area of approximately 5,692 km2 and underlain entirely by Archaean Crystalline formations with Recent alluvial deposits occurring along the river and streams courses and colluviums of valley-fills.This investigation was focused on the determination of physico-chemical parameters such as pH, EC, TDS, Ca, Mg, TH, Na, K, HCO3, SO4 and Cl. Ground water suitability for drinking, domestic and agri¬cultural purposes is examined with WHO standards. Dominant factors controlling the hydro-geochemistry of ground water in the study area is indicated by Principal Component Analysis. This study also reveals that multivariate statistical analyses are used to improve the understanding of ground water condition and appraisal of ground water quality.

 

ANALYTICAL MODELING OF GEOPOLYMER CONCRETE WITH MANUFACTURED SAND USING ANSYS

 

Authors: Dr. Abdul Aleem M.I., Dr. Arumairaj P.D.

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1253-1255

 

ABSTRACT
Geopolymer concrete is the concrete made without using any quantity of cement. Instead the waste material from the thermal power plant called Fly Ash is used as the binding material. This fly ash reacts chemically with alkaline solution like Sodium Hydroxide (NaOH) and Sodium Silicate (Na2SiO3) and forms a gel which binds the fine and coarse aggregates. Similarly another Artificial material called Manufactured Sand (M-Sand) is also used as the fine aggregate against the normal river sand. Concrete beams of size 100 x 150 x 1000 mm were prepared and cured under steam curing for 24 hours and then cured under room temperature up to 28 days. The beams were tested for two point load methods and deflections were measured. ANSYS models were created and the experimental results were compared with ansys models and converging results were obtained.

 

EXPERIMENTAL INVESTIGATION ON MACHINABILITY OF AL/VC COMPOSITES DURING ELECTROCHEMICAL MACHINING

 

Authors: V.Sivabharathi, P.Marimuthu, S.Ayyappan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1256-1261

 

ABSTRACT
This paper explicates the experimental investigation on the electrochemical machining characteristics of vanadium carbide (VC) particles reinforced aluminium metal matrix composites (Al-MMCs). These aluminium composites contain weight fractions of 1 %, 2 % and 3 % reinforcements of VC particles. The electrochemical machining was carried out at different combinations of voltage and electrolyte concentration. The design of experiment (DOE) method adopted in this work is central composite (CCD) of response surface methodology (RSM). The material removal rate (MRR) and surface roughness (Ra) were measured to comprehend the machinability of this composite materials. Experimental models and the contour plots were developed to establish a relationship between performance measures and machining and product parameters. The scanning electron microscopy (SEM) pictures of the surface of the test specimen were analyzed to understand the effect of machining parameters.

 

HYBRID ALGORITHM FOR DEADLINE CONSTRAINED RESOURCE ALLOCATION IN CLOUD COMPUTING

 

Authors: B. Kavitha, P. Varalakshmi

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1262-1271

 

ABSTRACT
The users without sufficient computing resources habitually enjoy the Infrastructure as a Service (Iaas) from the cloud providers. The IaaS provider, in turn, achieves immense financial gains when the demand by the clients reaches a summit level. In the related scenarios, the task scheduling emerges a significant daunting challenge for the provider to offer the Quality of Service (QoS). The earlier-launched cloud federation model to tackle the related challenge is not found to be viable, in actual practice. Hence, the Self-adaptive Learning Particle Swarm Optimization (SLPSO) is envisioned to perk up the profit of IaaS provider with assured QoS devoid of any inter cloud agreement, though with an additional expenditure involved in the choice of the velocity strategy. In this work, the hybridization of Orthogonal Learning Particle Swarm Optimization (OLPSO) and Cuckoo Search (CS) known as the OLPSO-CS based scheduling technique is brought in for the purpose of scheduling. In the OLPSO-CS, each dimension of a particle symbolizes a task and a particle as a whole signifies all tasks priorities. The vital challenge, here, is concerned with allotment of various user tasks to incredibly enhance the income of Infrastructure as a Service (IaaS) provider concurrently ensuring the Quality-of-Service (QoS). The novel technique is well-geared to achieve superlative levels of quality scheduling solution. The engendered solution guarantees the user-level QoS and fine-tunes the IaaS provider reliability and financial giants. The improved outcomes originating from several test investigations vie with each other in establishing the fact that the OLPSO-CS algorithm significantly augments the IaaS provider gains vis-à-vis the benefits offered by the other techniques such as the standard Particle Swarm Optimization (PSO), CS, SLPSO and the OLPSO algorithms. It is also established from the test results that the hybridization of optimization algorithms is further suitable in the hybrid cloud scenario..

 

STRUCTURAL BEHAVIOUR OF BEAM COLUMN JOINT RETROFITTED WITH FERROCEMENT LAMINATES

 

Authors: B. Venkatesan, R. Ilangovan

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1272-1280

 

ABSTRACT
An Experimental study is executed to evaluate a retrofit technique for strengthening shear deficient beam column joint. One of the techniques of strengthening the RC structural members is through confinement with a composite enclosure. . In column was restrained as axial load. In this study totally four specimen were tested under cyclic loading in cantilever portion using hydraulic push and pull jack in which two as reference specimen and remaining two used for strengthen specimen with the Ferrocement laminate is a composite material collective with weld mesh and woven mesh embedded of 3.44 volume fraction. The hysteretic load displacement curve has been plotted and the energy dissipation capacity of the reference specimen compared with the cementitious laminate retrofitted beam-column joint from the experimental result, the laminate strengthened specimen showed more effective increasing the ultimate load carrying capacity, stiffness and energy dissipation. The analytical results showed comparable with the experimental result.

 

OPTIMAL SELECTION OF FEATURE EXTRACTION METHOD FOR PNN BASED AUTOMATIC CARDIAC ARRHYTHMIA CLASSIFICATION

 

Authors: Rekha.R and Vidhyapriya.R

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1281-1285

 

ABSTRACT
Identification of cardiac arrhythmia class manually by viewing the Electro Cardio Graph (ECG) data will be much time consuming and may lead to false decision when the number of heart beats is large. Hence automation in arrhythmia classification evolved. The objective of this research work is to automatically classify cardiac arrhythmias with best classification accuracy through proper selection of feature extraction method. As per the recommendation of Association for the Advancement of Medical Instrumentation (AAMI), entire MIT-BIH arrhythmia database that consists of 44 recordings and around one hundred thousand heart beats is used for performance evaluation. Moreover, as per AAMI standard, heart beats are classified into five classes. Experiments are carried out by pre processing the ECG signals that includes filtering, followed by temporal and morphological feature extraction through Fourier Transform, Wavelet Transform (with Haar, Daubechies and Discrete Meyer families) and Stockwell Transform. Comparative analysis shows that combination of temporal and Daubechies wavelet (decomposition level 4) transform features along with dimensionality reduction through principal component analysis gives an average accuracy of 98.5%, sensitivity of 78.32%, specificity of 98.9%, positive predictivity of 85.93% and false positive rate of 1.101% when applied to Probabilistic Neural Network (PNN) Classifier at a spread factor of 0.005.

 

PREDICTION BASED ENERGY AND DELAY AWARE DATA AGGREGATION FOR WIRELESS SENSOR NETWORKS

 

Authors: C.K.Ramar, Dr.K.Rubasoundar

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1286-1292

 

ABSTRACT
Energy efficiency is a major issue in wireless sensor network (WSN) as sensor nodes are battery powered. By considering above issue, we propose prediction based energy and delay aware data aggregation technique in WSN. In the proposed technique, an efficient prediction model is constructed based on time series approximation method. Also suitable aggregator is selected based on the estimated one hop delay, Time to deadline and prediction error. This selection technique helps to choose reliable aggregator for data transmission without any delay. Then the data is transmitted by aggregator based on the waiting time which is calculated based on estimated one hop delay and residual energy to maintain energy efficiency in the network.

 

PERFORMANCE OF UNIFIED POWER QUALITY CONDITIONER WITH DIFFERENT CONTROLLER

 

Authors: S.Arulkumar and P.Madhavasarma

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1293-1300

 

ABSTRACT
The quality of the power is affected by many factors like harmonic contamination, due to the increment of non-linear loads, such as large thyristor power converters, rectifiers, voltage and current flickering due to arc in arc furnaces, sag and swell due to the switching of the loads etc. Recent times due to increased usage of loads, maintaining the quality of power is major challenging for control engineer. Unified Power Quality Conditioner (UPQC) can be used for effectively improving the power quality of an electrical power system. It is having shunt APF (Active Power Filter) and series APF (Active Power Filter). The shunt part for compensate the source current and series parts for compensate the load voltage. In this paper presents the reduction of Total Harmonic Distortion (THD) with the help of UPQC using PI controller, improved UPQC controller (IUPQC) and Fuzzy logic controller. The output results are carried out and compare by using MATLAB software.

 

ASSESSMENT OF SOIL QUALITY AT MUNICIPAL SOLIDWASTE DUMP SITE IN COIMBATORE-TAMILNADU, INDIA

 

Authors: Dr. R.N.Uma, R.Prem Sudha, Dr. K.Murali

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1301-1307

 

ABSTRACT
One of the most serious threats faced today by mankind is the pollution of our environment which includes soil pollution. Soil is an essential component for the survival of organisms. Due to rapid increase in population and industrialisation there is an increase in solidwaste generation and it is disposed by dumping on land. Proper municipal solid waste management is not practiced in Coimbatore, though several initiatives are taken by the corporation. Coimbatore Corporation collecting the municipal solid waste from 100 wards and dumping at Vellalore dumpyard which is 14 kms from the city. Many town panchayats and village panchayats in Coimbatore collects the solidwaste from their wards and dump them in nearby open areas. Three municipal solid waste disposal sites were selected based on quantity of solidwaste dumping in that location and close to the irrigation land. This paper deals with the study of polluted soil due to solid waste dumping in and around Coimbatore. A detailed investigation was made respect to area of solid waste dump, sampling of soil, characteristics of soil required for irrigation. The soil characteristics such as pH , EC, MC, OM, Ca2+, Mg2+, Na+, and K+ were estimated and related parameters such as SAR, CEC and ESP were also calculated. The characteristics study of soil samples from the above locations showed that the solidwaste dump at these sites had changed the soil characteristics, which was within acceptable limits at certain places only.

 

ENHANCED WEIGHTED FAIR-QUEUING TECHNIQUE FOR IMPROVING THE QoS IN MANET

 

Authors: A Charles, R.Bensraj

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1308-1311

 

ABSTRACT
In MANET, the nodes are wirelessly linked to each other and the nodes are highly mobile. This makes the MANET topology highly dynamic. The communication between distant nodes occurs through several intermediate nodes, which act as router too. In MANET, the nodes depend on its battery power, which is limited. Also, the data packet being transmitted in this network have different priority; such as some data are real time and hence needs to be delivered at highest priority, whereas for other data types, some amount of delay does not create any problem. But, if these data packets are simultaneously transmitted with equal priority, then it will result in several issues like congestion, network breakdown, etc when the data traffic is high in the network. So, in this paper we develop a fair queuing technique in which the data packets are placed on the priority basis. Thus, ensuring QoS in the network.

 

ARCHITECTURE OPTIMIZATION FOR NEURAL NETWORK BY ANALYZE THE PARAMETERS OF BEAM COLUMN JOINT

 

Authors: Arul Gnanapragasam, G.Chitra

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1312-1320

 

ABSTRACT
The expected performance of Reinforced Concrete (RC) beam column joints before and after being retrofitted using Fiber-Reinforced Polymer (FRP) composite materials is presented. Focus is given on the evaluation of the shear-strength versus deformation properties of the panel zone region either in the as-built or FRP-retrofitted configuration. Beam-column joint is used to analyze the performance in different specimens such as control, glass, basalt; hybrid (and rehabilitated specimen parameter are analyzed by use the Artificial Neural Network (ANN) with optimization process. Different optimization techniques are used optimize the hidden layer and neuron of the network architecture. The efficiency of a network can be increased if the volume of computation is reduced. That in neural network the output is related to the input via the weight of input to hidden layers and hidden to output layers. The optimal hidden layer and neuron attained in Social Spider Optimization (SSO) based predict the deflection of the beam column joint. The proposed work compared to the existing default structure and Genetic Algorithm (GA) the performance parameter is analyzed. All optimum results demonstrate that the attained error values between the output of the experimental values and the predicted values are closely equal to zero in the optimal network. From the results, the minimum error 90.146% is attained by optimal ANN structure with SSO algorithm compared to other techniques.

 

INFLUENCE OF PERMACORE T-18 POLYESTER FIBRE STITCHED AROUND CIRCULAR HOLE IN WOVEN JUTE FIBRE REINFORCED COMPOSITE

 

Authors: M. Chithambara Thanu, T. Christopher,V. Manikandan, J. Selwin Rajadurai

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1321-1325

 

ABSTRACT
This research paper aims to improve the tensile strength of woven jute fibre reinforced polyester composites having circular hole by introducing Permacore T-18 polyester fibre strands in the delamination prone areas. Stitches were made around the circular hole using Permacore T-18 polyester fibre strands with constant needle span and variable number of stitches ranging from one to eight in a concentric circular pattern. The fabricated composite specimens were tested for their tensile strength. From the results it is observed that the tensile strength increases more than three times that of unstitched. Studies through Scanning Electron Microscopy have shown reduction in fibre pull out as well as voids due to local hybridization. Matrix cracking is also considerably reduced.

 

COMPARATIVE STUDY OF SURFACE ROUGHNESS PREDICTION FOR SELECTIVE LASER SINTERING PROCESS USING MULTIPLE REGRESSION MODEL AND ARTIFICIAL NEURAL NETWORK

 

Authors: K.Swarna Lakshmi, G. Arumaikkannu

 

IJAET/ Volume VII/ Issue II/ April-June'2016/1326-1329

 

ABSTRACT
In Selective Laser Sintering process, setting of process parameters is important to obtain better surface roughness for customized implants as it induces cell growth. Unfortunately, conventional trial and error method is time consuming as well as high cost. The purpose for this study is to develop mathematical model using multiple regression and artificial neural network for surface roughness prediction. Computer Tomography scan data of the femur bone was taken for the study. The scan data was converted to standard triangulation file format using Medical image segmentation for Engineering in Anatomy software. Taguchi’s design of experiments were conducted where layer thickness, fill scan spacing and orientation, have been chosen as predictors in order to predict surface roughness. 27 polyamide samples were run by using selective laser sintering .Analysis of variances shows that the most significant parameter is orientation followed by layer thickness and lastly by fill scan spacing. After the predicted surface roughness has been obtained by using both methods, average percentage error is calculated. The mathematical model developed by using multiple regression method shows the accuracy of 92.02 % which is reliable to be used in surface roughness prediction. On the other hand, artificial neural network technique shows the accuracy of 97.19% which is feasible and applicable in prediction of surface roughness. The result from this study is useful to be implemented in laboratory to reduce time and cost in fabrication of implant for surface roughness prediction which influences the speed and strength of osseointegration.