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

                                                       -An Open Access Peer Reviewed e-Journal

 
 

  SYLLABLE BASED CONTINUOUS SPEECH RECOGNITION FOR TAMIL LANGUAGE

Authors: C.Sivaranjani, B. Bharathi

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/01-04

 

ABSTRACT
Tamil is one of the ancient languages in the world. Recognition of Tamil speech would be beneficial to a lot of Tamil people. There are many speech recognition systems available for many languages. Especially recognition of Tamil language is a challenging task. In this paper, we propose to develop a system for continuous speech recognition in Tamil language. Basically it consists of two phases (i) Training phase (ii) Testing phase. During training phase, features are extracted from the input speech signal and acoustic model is built based on the sub-word units. The sub-word units can be word or phoneme or syllable. In this paper, syllable is used as sub-word unit. During testing phase, features are extracted from the test speech signal and compared with acoustic model to find matching pattern. Performance evaluation is based on word error rate that is comparing a reference transcription with the transcription output by the speech recognizer.

  AN OPTIMIZED MONTGOMERY MULTIPLIER FOR PUBLIC KEY CRYPTOGRAPHY
 

Authors:G. Narmadha, Dr. K. Balasubadra

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/05-07

 

ABSTRACT
The Montgomery algorithm is considered to be the fastest algorithm for modular multiplication to compute X.Y mod n in cryptographic applications. A scalable architecture is described for the montgomery multiplication module for the finite fields GF(p) and GF(2m). The scalable multiplier can handle operands of any size and also the word size can be selected based on the requirements of performance and area. The proposed multiplier is designed by introducing the new type of adder, that is, sum-based adder (SBA). It produces the optimized results in improved reduction of run-time and area-overhead when compared with multipliers which uses the other types of adders like carry-select adder (CSA) and ripple carry adder(RCA). The proposed adder has been simulated by using Xilinx ISE for analysing the area and time parameters and is also has been simulated using Microwind 3.0 with 0.12 µm technology for observing the parameters such as chip size, frequency and power consumption.

  SINGLE IMAGE SUPER-RESOLUTION ALGORITHM USING EFFICIENT SELF-EXAMPLE LEARNING STRATEGY
 

Authors: William Jino Hans, Venkateswaran Narasimhan

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/08-14

 

ABSTRACT
In this paper, a single image super-resolution (SR) algorithm based on sparse representation of self-example patch-pairs is proposed. The in-similarity within self-example patch-pairs across various scale is exploited to learn the missing high frequency (HF) details. An efficient sampling strategy based on sample mean square error (SMSE) is employed to sample and select the self-example patch-pairs from the input image. To avoid image-level information loss between the self-example patch-pairs due to vectorizing of image patches, an optimal matrix-operator (MO) is used to learn the correspondence between self-example patch-pairs. Two effective dictionaries, viz. low-resolution (LR) and high-resolution (HR) are constructed from the patch-pairs attained by the proposed strategy and are trained with state-of- the-art K-SVD algorithm. The learned dictionaries are used within the framework of sparse representation to reconstruct the high-resolution (HR) image. The proposed method is validated both qualitatively and quantitatively with benchmark test images. Compared with other state-of-the-art SR approaches, the proposed method preserves sharp HF details and reconstructs visually appealing HR images without any counterfeit HF details..

  EVALUATION OF STRENGTH AND FRACTURE MODE ALONG WELDMENT OF Ti/Al SHEET METAL JOINT USING LASER BEAM WELDING
 

Authors: K. Kalaiselvan, A.Elango, NM.Nagarajan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/15-18

 

ABSTRACT
Recent developments in Laser Beam Welding (LBW) result in significant reduction in weight of structural components, enabling wider applications in aerospace and transport areas. Though Ti/Al dissimilar metal joints have potential applications, welding of flawless joint is a challenge due to variation in physical and metallurgical factors among these alloys. Hence the present work is undertaken to join Ti (TI6AL4V) and Al (AA2024) thin sheets with 1mm thickness using LBW. In this work, apart from studying process parameters in dissimilar welding mechanical properties, chemical composition and fracture mode on weldment have been evaluated, analyzed and reported. Test results proved that dissimilar metals namely Ti and Al alloys are amenable for welding using laser beam by selecting appropriate process parameters.

  BIFURCATION ANALYSIS: AN APPROACH FOR DYNAMICS AND STABILITY ANALYSIS OF DC-DC BUCK CONVERTER
 

Authors: K.Kanimozhi, B. Raja Mohamed Rabi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/19-23

 

ABSTRACT
Stability of power electronic converters is one of the most important problems related to their dynamics. The problems related to global asymptotic stability is discussed in this paper. Stability is analytically verified using Lyapunov and Popov’s stability criterion. The design example used is DC-DC buck converter with Adaptive sliding mode (ASM) control. An averaged small signal model is derived and transfer functions are obtained. Stability is also verified using conventional techniques by MATLAB simulation. The equilibrium points of stability for parameter variation are determined using bifurcation diagrams. Simulation results and mathematical proof shows that closed loop system designed is stable and a fast response is obtained. Bifurcation analysis for load changes gives a better insight for improving design of converter towards dynamic response.

  IMPACT OF CAPITAL STRUCTURE ON PROFITABILITY OF MANUFACTURING COMPANIES IN INDIA
 

Authors: S.Revathy, Dr.V.Santhi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/24-28

 

ABSTRACT
This paper investigates the impact of capital structure on profitability of the manufacturing companies in India and attempts to establish the hypothesized relationship as to how far the capital structure variables affect the business revenue of companies and what the interrelationship is between capital structure variable and profitability. This study is carried out after categorizing the selected manufacturing companies into three categories based on s a two attributes, viz. stages and period. First, as per phases, manufacturing companies are grouped into pioneering stage, growth stage, and consolidation stage. Second, these companies are classified into pre and post merger, this study tries to establish the hypothesized relationship that capital structure variables has significant impact on profitability of manufacturing companies in India. A sample of seventy companies was chosen by multi-stage sampling techniques. The study reveals that there has been a strong one-to-one relationship between capital structure variable and Profitability and increase in Debt Equity Ratio inversely affects profit of the manufacturing companies listed in Bombay Stock Exchange in India.

  A STUDY OF MODELING AND FINITE ELEMENT ANALYSIS OF AUTOMOTIVE VEHICLE WHEEL RIM ASSEMBLY FOR THE DEFORMATION AND VARIOUS STRESS DISTRIBUTION
 

Authors: Thangarasu Subramaniam, Dhandapani Velliangiri, Sureshkannan Gurusamy

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/29-33

 

ABSTRACT
This paper which deals with wheel rim modelling and finite element analysis of various stress distribution. When the human race starting to use the log to transport heavy objects. The original wheels were the round slices of a log and it was gradually re–in-forced and used in this form for centuries on both carts and wagons. The distribution of stresses from the wheel hub and wheel rim is properly distributed to entire portion of wheel rim. The net result of larger deformation and more stress in a one particular area, due do this failure occur. This failure can be avoided by introducing the wedge band between the hub and rim. During the finite element analysis of the wedge band, the net result of the stress distribution within the standard and recommended value of throughout the wheel rim with minimum deformation. The main objective is to determine the stress distribution and deformation on each part of the wheel rim assembly under radial load condition with linear and non - linear analysis and find out the factor of safety of the wheel rim..

 

DESIGN, COUPLED FIELD SIMULATION AND IMPLEMENTATION OF MICRO- ELECTRO MECHANICAL GRIPPER BY FINITE ELEMENT METHOD APPROACH

 

Authors:V S Thangarasu, N V Dhandapani,G Sureshkannan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/34-37

 

ABSTRACT
Micro-Electro Mechanical Systems (MEMS) is one of the most advanced technology developments of the recent trend. It is the integration of mechanical elements, sensors, actuators, and electronics on a common silicon substrate through micro fabrication technology. To develop a MEMS Micro gripper that is cheap and easy to fab Design, Coupled Field Simulation and Implementation of Micro- Electro Mechanical Gripper by Finite Element Method Approach. It is equipped with a wide gripping range and force sensing capability. The main objective of the MEMS gripper analysis is to determine the deflection and displacement to the tip of the mechanical structure, thermal expansion of a structure due to the given electric field. In addition to determine total current, heat flow and temperature distribution of the MEMS gripper.

  OABC_ANN TECHNIQUE FOR SPRINGBACK EFFECT PREDICTION IN WIPE BENDING PROCESS OF SHEET METAL
 

Authors: S.Prakasam , P.Thangavel

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/46-53

 

ABSTRACT
Bending is often used for manufacturing of sheet-metal components in sheet metal manufacturing industry. The material’s tendency to return to its original state once its state of motion has been disturbed is termed as spring-back. To produce précised parts spring back is an important issue. The angle between the target bend and the original after elastic release is called spring back angle. To improve the quality of metals, springback effect prediction in wipe bending process of sheet metal plays an important role. The proposed work experience lesser MSE compared to conventional ANN. Artificial neural network with Opposition-Based Artificial Bee Colony (OABC) Algorithm can efficiently predict the spring back angle. The proposed OABC-ANN will perform better than the conventional ANN approach and the proposed method will be implemented in the working platform of MATLAB.

  ENHANCEMENT OF POWER QUALITY IN AN AC-DC INTERCONNECTED SYSTEM USING IMPROVED CURRENT INJECTION TECHNIQUE
 

Authors: Dr.S. Parthasarathy, Dr.V.Rajasekaran, R.Thenmozhi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/54-58

 
ABSTRACT
The inverters and converters are the dominating power electronics based devices to create wave form distortion in supply system. Those devices are labeled as non linear loads. Mitigation of line current harmonics produced by a controlled converter as a non linear load using improved current injection technique is proposed in this paper. The improved current injection technique is illustrated on a three phase AC-DC interconnected system. Though the system may have many applications, it suffers from very high line current harmonics were mitigation becomes more necessary. In this case, the proposed method shows effective sensitive variations in the Total Harmonic Distortion (THDI) of the line current variations whereas than the other techniques available. This effective system is simulated in PSIM platform.
  A HYBRID SOLUTION METHODOLOGY TO ECONOMIC DISPATCH PROBLEM
 

Authors: P Ramesh

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/59-63

 
ABSTRACT
Economic scheduling is one the of most challenging optimization problems arising in power system operation, planning, and analysis. Different production sources have to be co-coordinated in order to obtain the best economy. Application of mathematical optimization techniques has a long history in power system operation; tangible improvements can still be achieved through a more rigorous formulation of the constraints and the application of more robust solution technique. This paper presents an efficient method for solving the Economic Dispatch Problem (EDP), by integrating the Particle Swarm Optimization (PSO) technique with the Sequential Quadratic Programming (SQP) technique. PSO is the main optimizer and the SQP is used to fine tune for every improvement in the solution of the PSO run. PSO is a derivative free optimization technique which produces results quickly and proves itself fit for solving large-scale complex EDP without considering the nature of the incremental fuel cost function it minimizes. SQP is a nonlinear programming method which starts from a single searching point and finds a solution using the gradient information. The effectiveness of the proposed method is validated by carrying out extensive tests on three different EDP with incremental fuel cost function takes into account the valve-point loadings effects. The proposed method out-performs and provides quality solutions compared to other existing techniques for EDP considering valve-point effects are shown in general. Numerical experiments show that, the proposed methods are able to solve the complex non-linear optimization problem with its wealth of constraints in acceptable computational time.
  EVALUATION OF THE INFORMATION PUBLISHED IN WEBSITES AND ITS IMPACT IN CORPORATE GOVERNANCE
 

Authors: Dr.A.K.Sheik Manzoor

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/64-68

 

ABSTRACT
Purpose – The purpose of this paper is to measure the degree of information availability on corporate governance in top Ten Indian Company websites. The paper aims to evaluate the company websites in terms of the seven parameters of Corporate Governance. It seeks to bring awareness among stakeholders in terms of information availability in the internet medium and also enables to find the best company website in terms of Corporate Governance.
Design/Methodology/Approach – The study surveyed a representative sample of Top 10 Major Indian companies listed in the Forbes Global 2000 ranking for 2010. To evaluate the websites in terms of corporate governance, 7 parameters were chosen namely; governance strategy, risk management policy, ownership structure, composition of board and its accountability, compensation policy, investor rights and transparency in financial reporting. A balanced rating scale of 1-5 (Very Low information available to Very High information available) was devised to rate the websites.
Findings – It was found that, although every company has a separate link for corporate governance in its website, overall range of information availability pertaining to the 7 parameters are a little below the moderate scale (2.78). This implies that the weightage given for corporate governance in the company websites is not high. Also all the websites had higher information related to financial reports and board of directors. The other areas had relatively lower content.
Research limitations/implications – Ten companies and 7 parameters have been chosen for the pilot study, this can be extended to all the companies ranked best in India. Also the technique used for rating is preliminary and hence an advance technique may be used to analyse the data. Research has been done on the information posted by the companies in their official websites. Further study is needed to throw light in this research area so that the scope of expanding the company’s’ corporate governance web content can be increased.
Practical implications – Technological advancement and increase in internet usage has made it mandatory for all companies to develop their online medium of communication. In India, where scams are frequent these days and corruption is at its peak, building up stakeholder relationship and winning their confidence is every company’s dream. By having an effective corporate governance mechanism and making it reachable to the public is hence indispensible for growth and sustainability of the company.
Originality/value – This paper intends to provide a small beginning into the research area of online administration of corporate governance since no extensive literature is available for the same. This paper does not intend to rank the companies based on their corporate governance policies or structures but only on the availability of such information on their websites and is done purely for academic research.

  INVESTIGATION ON MECHANICAL PERFORMANCES OF PA6 AND Al2O3 REINFORCED PA6 POLYMER COMPOSITES
 

Authors: S Sathees Kumar and G Kanagaraj

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/69-74

 

ABSTRACT
In this paper, the effects of adding Alumina (Al2O3) on the mechanical properties of polyamide 6 (PA6) based composites were investigated. PA6 was reinforced with Al2O3 by varying the weight proportions. The test specimens for mechanical and experiments were molded in an injection molding machine. The mechanical properties of PA6, Al2O3 reinforced PA6 polymer composites were investigated in terms of tensile, flexural, impact and hardness tests. The PA6 composite containing 10 wt.% Al2O3 revealed the better mechanical behaviors. Scanning electron microscopy (SEM) was utilized to examine the fracture surfaces microstructure of tensile test. The addition of Al2O3 enhances the life condition of normal PA6 to a greater extent. Also, this composite exhibits stronger interfacial bonding characteristics with improved mechanical characteristics.

  ELECTROMAGNETIC INTERFERENCE REDUCTION IN Cuk CONVERTER USING MODIFIED PWM TECHNIQUES
 

Authors: Sivaraman

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/75-79

 

ABSTRACT
An important increase of the electrical equipment in modern aircrafts is leading to an increase in the demand for electrical power. The usual electrical power distribution in aircraft applications is done via a three-phase 415Vac grid. A new trend of DC distribution is emerging employing a 270 Vdc grid. With the advancement in the power semiconductor devices and power transformers, DC-DC converters are designed with frequency ranging up to MHZ range. Increase in the switching frequency along with the sudden change in the current di/dt or voltage dv/dt generates higher order harmonics which leads to Electro Magnetic Interference (EMI). EMI noise creates malfunctioning of the circuit and also leads to miscommunication within the system and sometimes leads to device failure. Which is an undesirable condition as far as airline is considered. Hence the reduction of EMI noise is of uttermost important. This paper focus on the reduction of EMI using passive filter along with modified PWM carrier modulation technique. A circuit model for the prediction of conducted emissions due to DC/DC converters in an aircraft black box system is proposed and corresponding attenuation method is been analyzed. The results are analyzed on simulations of CUK converters with and without filter for a switching frequency of 200 kHz under similar conditions. The results so obtained are within the limit as specified by the MILSTD-461 D standard..

  VIBRATION ANALYSIS AND MITIGATION TECHNIQUES FOR BULB TURBINE IN SMALL HYDROELECTRIC POWER PLANTS
 

Authors: Dr.P.Sridharan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/80-84

 

ABSTRACT
Small Hydroelectric Power (SHP) development is increasingly undertaken all over the world, especially in the developing countries, because of their various merits, varied application, and flexibility of utilization. Increasing populations and new modern technologies necessitate massive amounts of electricity for creating, building and expanding.Vibration that occur in liquid filed piping systems are of interest to a variety of industries like industrial water supply hydraulic and nuclear power plants aircraft industry and those involving automotive and refrigerative applications. The dynamic behaviour of these systems include both transient and steady–state vibrations caused by rapid value closures, and unbalanced rotating machinery. Audible noise emanating from hydraulic equipment can be a serious problem. Much of these noise is generated as pressure fluctuations in the fluid flowing inside the hydraulic turbines and as high vibration of the turbine casing.With the modified stiffness condition the vibration effects are reduced to a safe zone.

  ENHANCING CLUSTERING ACCURACYBY REDUCING DIMENSION FOR HIGH DIMENSIONAL FACEBOOK DATA USING k-MAM INITIALIZATION METHOD
 

Authors: S.Dhanabal , Dr. S. Chandramathi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/85-92

 

ABSTRACT
Clustering high dimensional datasets is a monotonous task due to the curse of dimensionality. The main drawback of k-means clustering is that the accuracy of the clusters fully depends on the selection of initial centroids. Initialization methods are suggested by researchers to improve the performance of k-Means clustering performances. But these methods do not provide adequate results for clustering high dimensional data. In this paper, a novel approach for clustering high dimensional data collected from the Facebook is proposed. Clustered Facebook data is used to find the closeness between two participants in the social network. Initially, the dimensions are reduced using modified Principal Component Analysis (PCA) called “Reduced Uncorrelated Attributes (RUA)”. Then the transformed dataset is used to find the initial seed using k-Maximum-Average-Minimum (k-MAM) method for k-means. The performance of the proposed method is analyzed and the result shows that RUA with k-MAM provides more accuracy than other methods..

  INTRUSION DETECTION SYSTEM USING F-SVM BASED LAYERED APPROACH WITH ENHANCED MPSO FEATURE SELECTION ALGORITHM
 

Authors: B.Ben Sujitha, Dr.V.Kavithai

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/93-99

ABSTRACT
Today’s network world is facing lot of challenging task; Intrusion detection is one among them. It is very much essential to design a new intrusion detection system, which can monitor the network to detect the malicious activities. The proposed work must focus on two objectives namely detection rate and false alarm rate. The new system is developed with an optimized feature selection algorithm to produce the reduced set of features. The improved attack detection rate can be achieved by using layered approach with enhanced fuzzy based support vector machine algorithm. The feature selection algorithm used in the proposed system is a multi-objective particle swarm optimization which does the feature selection effectively. The fuzzy based support vector machine algorithm is effectively applicable to detect anomaly attack. The proposed system is tested with the benchmark KDD ’99 intrusion data set as well as real time captured data set, which outperforms other well-known methods such as the decision trees, naive Bayes and Ant Colony optimization. The system is highly robust and efficient. It can deal with real-time attacks and detect them fast with quick response. The experimental results shows the proposed system can effectively identify the signature based and anomaly type of attack with the detection rate up to 99.2% and the false alarm rate is very much reduced.

  IMAGE ANALYSIS BASED MEASUREMENT OF COAL FLOW RATE
 

Authors: C. Shanthi, N.Pappa, K.Elavarasi, S.Ganesan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/100-102

 

ABSTRACT
Accurate measurement of coal flow rate is important in cement industries. To improve the operational efficiency, it is essential to know the parameters of coal particle flow. Digital image processing techniques provide quick and non-intrusive solutions to measure the coal flow rate in real-time. In this paper, an attempt has been made to measure the coal flow parameters such as volumetric concentration, particle velocity and mass flow rate. Real time coal particle flow videos are captured using a high speed digital camera and are converted into frames. Image processing techniques are used to get the high quality meaningful images. Then, the mass flow rate is calculated from the processed images. A particle analysis software (Bio-Wizard) is used in calculating the density of the solid particles. The validity of the present technique is also discussed.

  dSPACE BASED IMPLEMENTATION OF VARIOUS INVERTED SINE CARRIER PWM STRATEGIES FOR THREE PHASE FIVE LEVEL H-BRIDGE INVERTER
 

Authors: C.R.Bala Murugan, S.P.Natarajan*, R.Bensraj

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/103-112

 

ABSTRACT
This work presents the comparison of Inverted Sine Carrier Pulse Width Modulation (ISCPWM) techniques for a Cascaded Multi Level Inverter (CMLI). In this paper, the chosen three phase CMLI is controlled by Sinusoidal PWM (SPWM) reference and Third Harmonic Injection PWM (THI PWM) reference with Inverted Sine Carrier (ISC) and the variation of Total Harmonic Distortion (THD) in the output voltage is observed for various modulation indices. Simulation is performed using MATLAB-SIMULINK. It is observed that sinusoidal reference with ISCPDPWM provides output with relatively low distortion. It is also seen that SPWM strategy with ISCCOPWM is found to perform better since it provides relatively higher fundamental RMS output voltage and relatively lower stress on the devices.
From hardware results it is seen that ISCPDPWM provides output with relatively low distortion. It is also observed that ISCCOPWM is found to perform better since it provides relatively higher fundamental RMS output voltage.

  DESIGN AND ANALYSIS OF SECURE PAYMENT SOLUTIONS FOR TRANSIT SYSTEM USING SMART CARDS
 

Authors: Edna Elizabeth.N., S.Nivetha, T.Prasanya Padmasha, I.Gohulalakshmi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/113-116

 

ABSTRACT
Transit system smart cards have been established as a new type of infrastructure that supports many different needs. Although the Smartcard is a well-established media, there are other technologies such as contactless NFC cards and mobile phones, which can potentially be used as a Smartcard, that significantly influence the future of ticketing within Public Transport. In this paper we have developed different phases of secure payment system using smart cards with emphasis on ticketing system in Transportation.

  STUDIES OF HARDNESS DISTRIBUTION IN Ti/Al DISSIMILAR METAL JOINTS USING LASER BEAM WELDING
 

Authors: K. Kalaiselvan*, A.Elango, N. M. Nagarajan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/117-120

 

ABSTRACT
Laser beam welding is usually done without filler metals and is relatively clean and very fast with no time to burnout contaminants. Laser parameters can control weld heat input and weld shape. Hardness is the resistance of a material to indentation and related to service properties of the weld. Hardness tests are widely used to study mechanical properties evaluation of weldments for its quality. In the present dissimilar welds are made of TI6AL4V (Ti) and AA2024 (Al) alloy sheet with 1.0mm thickness using Nd: YAG laser beam welding unit. Beam is focused both from Ti and Al side with 0.3mm. Hardness is measured on metal joints made by using different welding speeds. The hardness measurement has been made using Rockwell C scale, and test results are reported. Penetration region close to Heat Affected Zone (HAZ) the hardness is found the maximum.

  GRID INTERCONNECTION OF HYBRID POWER SYSTEM WITH POWER QUALITY IMPROVEMENT FEATURES

Authors: R.Karthick, S.Manoharan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/121-124

 

ABSTRACT
Micro grid systems consisting of several alternative energy sources that include solar cells, wind turbine, fuel cells and storage batteries are capable of balancing generated supply and demand resources to maintain stable service within a defined boundary. Wind and solar energy plays an important role in ensuring an environmental friendly and clean energy generation for remote and isolated areas. In this paper, a grid connected wind and PV hybrid generating system was developed with improved power quality features. A unified control strategy that enables both islanded and grid tied operation of three phase inverter in distributed generation was developed. Furthermore, the wave forms of the current in grid tied mode and load voltage in the islanding mode are distorted under non-linear load is mitigated by the proposed unified control strategy and the results are verified using MATLAB/SIMULINK software.

  DNA GLOBAL SEQUENCE ALIGNMENT USING MAP REDUCE IN OPENSTACK SAHARA
 

Authors: Dr K.E.Kannammal*, 2C.P.Shabariram

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/125-130

 

ABSTRACT
In Biological analysis, DNA Sequence alignment is a way of comparing two or more different DNA sequences by searching for a meaningful character patterns that are in the same order in the sequences. Sequence alignment mainly used to identify functional and evolutionary relationship between two different biological sequence, homology study, Evolutionary linkage and Molecular structure. While aligning a different sequence execution speed and alignment accuracy considered as major aspects. Todays existing freeware tools produce accurate sequence alignment. But these tools performance relatively low while considering big data. This paper addresses time efficient DNA sequence alignment methodology using sahara hadoop cluster in openstack cloud improves execution speed and accuracy. Virtual cluster environment denotes resource availability highly possible. In addition, proposed system performs the sequence alignment very quickly due to parallel and distributed processing aspects of hadoop. Other than above mentioned features novel methodology highly suited for large scale DNA sequence alignment. A final result indicates time efficiency of proposed system.

  OPTIMIZATION OF SINGLE AND MULTI PASS SERPENTINE FLOW CHANNEL OF POLYMER ELECTROLYTE MEMBRANE FUEL CELL (PEMFC)
 

Authors:V.Lakshminarayanan, P.Karthikeyan ,D.S.Kiran Kumar, G.Madhu Sudan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/131-135

ABSTRACT
In this paper, optimization of operating and design parameters such as pressure, temperature, inlet reactant mass flow rate and various rib width to channel width (L: C) 1:1, 1:2, 2:1 and 2:2 on the single and multi-pass serpentine flow channel of 25cm2 effective area was taken into consideration for performance enhancement of the PEMFC. Creo Parametric 1.0 and CFD Fluent 14.0 software packages were used to create the 3 Dimensional (3-D) model and simulation of PEMFC. The optimization was carried out of the various parameters with MINITAB 17 software. It is concluded that the landing to channel width (L: C) - 1:2 of single pass and multi-pass serpentine flow channel has the maximum influence on fuel cell performance and square of response factor (R2) was achieved from the Taguchi method by MINITAB 17 software as 99.48 and 99.18 % respectively. The optimum combination of parameters achieved for various L: C of single pass and multi-pass serpentine flow channel of PEM fuel cell using by MAT LAB software.

  A LATTICE REDUCTION-AIDED INFORMATION PRECODER FOR MULTIUSER COMMUNICATION SYSTEM
 

Authors: S. Markkandan, N. Venkateswaran

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/136-141

 

ABSTRACT
Recent demand for high rate of information transmission in wireless communication has resulted in multiple-input/multiple output (MIMO) systems which offer high spectral efficiency. Though massive Multi-user MIMO (MU-MIMO) system introduces interference, it produces a considerable increase in capacity by the use of large number of transmit and receive antennas to communicate with multiple users. Precoding of information is a technique, which helps in elimination of inter symbol interference and minimizes the receiver complexity. In this paper, lattice reduction technique combined with the Vector Perturbation (VP) is proposed to provide reduced bit error rate at all signal to noise ratios with no reduction in capacity. Two schemes have been formulated namely lattice reduction aided VP- ZF and lattice reduction aided VP -MMSE precoders. Its performance is also compared against that of the conventional VP-ZF and VP –MMSE. The simulation results show that the lattice reduction aided Vector Perturbation Precoder schemes performs better than the other conventional techniques for massive MU-MIMO systems. .

  DEVELOPMENT OF ANTIMICROBIAL FINISHED FLAME- RETARDANT TEXTILES MATERIALS
 

Authors: Bharani M, Pavithra MKS, R.V. Mahendra Gowda

  IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/142-148
 

ABSTRACT
Trevira CS fabrics are treated with various antimicrobial agents viz., Eucalyptus Oil, Sanitized (T-99), Neem activated charcoal and Bamboo activated charcoal in order to study their antimicrobial finishing effect on flame-retardant properties. The fabric samples have been tested for its bactericidal activity using Nutrient Agar Diffusion Test method. It is found that Trevira CS fabrics treated with Eucalyptus Oil, Neem and Bamboo activated charcoals exhibit good antimicrobial resistance against E.coli, B.subtilis and S.aureus. The Trevira CS fabric treated with Sanitized (T-99) exhibits highest zone of inhibition as compared to other antimicrobial agent treated fabrics.

  DIFFERENT TYPES OF MULTILEVEL INVERTER TOPOLOGIES – A TECHNICAL REVIEW
 

Authors: M. Murugesan, R.Pari, R.Sivakumar and S.Sivaranjani

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/149-155

 

ABSTRACT
This paper presents a review and analysis of multilevel inverter topologies. Multilevel inverters are most widely used for medium-voltage high-power converter like fans, pumps and material transport drives. In this active area, different inverter topologies, circuits, advantages and drawbacks are discussed. Multilevel Inverter topologies such as diode-clamped, flying-capacitor, cascaded H-bridge, hybrid H-bridge, new hybrid H-bridge and new cascaded multilevel inverter have been discussed in the literature. In this work a new idea is developed to increase the level with less number of switches. It is concluded that the topologies are closely related to each particular application, depending on their unique features and limitations like power or voltage level, performance, reliability, costs and other technical specifications.

  FRACTAL FEATURE BASED SVM CLASSIFICATION OF GLAUCOMATOUS IMAGE USING PCA AND GABOR FILTER
 

Authors:Nirmala K, Venkateswaran N and Vinoth Kumar C

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/156-159

 

ABSTRACT
Increase in intraocular pressure within the eye is the major cause for degradation of optic nerve that results in glaucoma. Glaucoma can be detected by extracting the features from the retinal images. In this paper, the input retinal images are enhanced using Principal Component Analysis and the blood vessels are removed by sequence of processing with Gabor filter, morphological operator and thresholding. Then fractal features from the region of interest are extracted from enhanced retinal image. These extracted features are fed to the Support Vector Machine for classification. In this method, fractal features such as fractal dimension, fractal model fitting error, fractal abundance and lacunarity are extracted. Simulation results shows, the lacunarity feature have better discrimination between the normal and glaucoma retinal images with higher classification accuracy. The accuracy, sensitivity and specificity of the classifier based on the lacunarity are 85.67%, 76.67% and 86.67% respectively.

  AN INTELLIGENT APPROACH TO REDUCE MITIGATING ANIMAL MORTALITY DUE TO TRAIN ACCIDENTS
 

Authors: Dr. M. Prabu, Dr. D. Thilagavathy

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/160-165

 

ABSTRACT
Train Elephant Conflict (TEC) is one of the major issues across the world which affects both human and elephant. A recent research indicates many elephants and other animals die due to train accidents mostly at night time. Despite railway authorities instructing the drivers to reduce the train speed in forest areas, there has not been much reduction in elephant death from trains. The surveillance and tracking of elephants are difficult due to their size. The proposed system automatically detects the elephants with their sound that are diverse in the field. The input to the proposed system is the acoustic wave generated by the elephants. The acoustic wave receptors are placed on the path of the elephant. Using MATLAB software the recorded acoustic waves are filtered to reduce the environmental noise recorded with actual sound of the elephant then the filtered sounds are tested for recorded spectrogram patterns stored previously in the system. On successful match of the sound of the elephants, SMS will be sent to the forest officials, station master and train operator. This paper helps to prevent the elephant death from train accidents.

  AN EFFICIENT SURVEILLANCE SYSTEM TO DETECT ELEPHANT INTRUSION INTO FOREST BORDERS USING SEISMIC SENSORS
 

Authors: Dr. M. Prabu

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/166-171

 

ABSTRACT
Human-Elephant conflict is the major problem in the forest borders with large elephant herds. In this paper, an automated system to detect the intrusion of elephants into the human habitat in forest borders is proposed. The seismic signals generated by the movement and other sounds made by the elephants are received by the system and is transmitted to the central processor along with the GPS position of the receiver node. The received signals contains some noise and it is should be removed using algorithm. After removing the noise signal is matched with the database patterns. On match of a stored pattern, the system generates a SMS to forest authorities. The proposed is very efficient with good computation power and low cost.

  AN ALGEBRAIC TEST FOR STABILITY ANALYSIS OF LINEAR TIME INVARIANT MULTIDIMENSIONAL DISCRETE SYSTEMS
 

Authors: P Ramesh, V Manikandan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/172-176

 

ABSTRACT
In this paper an algebraic test procedure is presented to ascertain the stability of multidimensional discrete systems, which are represented in the forms of their respective characteristic equations. Further an equivalent single dimensional characteristics equation is formed for the given multidimensional characteristic equation; the coefficients of this characteristic equation are suitably arranged in the form of a matrix and the inner determinants are evaluated using Jury’s concept. The proposed test procedure is applied for various illustrative examples.

   
   
   
   
  HYBRID SPECTRUM SENSING ALGORITHM FOR COGNITIVE MOBILE ADHOC NETWORKS
 

Authors: R. Kalaiarasan, K.S.Vishvaksenan, R.Kalidoss

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/182-186

 

ABSTRACT
Spectrum sensing is one of the most critical function in Cognitive mobile adhoc networks. Adaptation to the external environment and utilization of the spectrum holes for secondary users' communication are possible only after this sensing. The hidden node problem in the cognitive mobile adhoc networks leads to failure of detection of the primary user, enabling access to the licensed spectrum. The result is harmful interference to the primary users. This paper introduces a novel method of cluster based hybrid spectrum sensing algorithm with the objective of alleviating this hidden node problem and for detecting the energy of unknown information signal accurately and exploiting selection diversity. The results of numerical simulation show improvement in spectrum sensing performance on the basis of decision threshold and signal to noise ratio.

  INVESTIGATING THE EFFECT OF CURRENT SHAPE ON RAIL GUN DESIGN AT TRANSIENT CONDITIONS
 

Authors:Murugan .R, Saravana Kumar M.N and Azhagar Raj .M

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/187-192

 

ABSTRACT
The performance parameters of the rail gun such as force and velocity acting on the armature, induced voltage, power loss and current density distribution and magnetic field distribution over rail and armature are greatly affected by the current distribution. These parameters depend on rail and armature dimension, shape, and the magnitude of current as well as the shape of the current supplied to rails. The rising, working and dropping characteristics of the current shape is greatly affecting current distribution on the rail and armature. So, understanding the profile of the current distribution on rail and armature due to various pulsed current shapes are essential to analyze the effect on the above performance characteristic parameters during transient conditions. In this paper the performance of rail gun is analyzed by exciting the rail with different current wave shapes using a 3-dimensional magnetic field simulator called ANSYS. The simulator uses finite element method to predict the magnetic field distribution. Pulsed mode current shape has been considered for this study.

  DESIGN AND SIMULATION OF ACTIVE SINGLE-AXIS PHOTOVOLTAIC TRACKER FED PERMANENT MAGNET BRUSHLESS MOTOR FOR COMMERCIAL APPLICATIONS
 

Authors: Sathishkumar Shanmugam, Meenakumari Ramachandran, Anbarasu Loganathan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/193-198

 

ABSTRACT
This Research paper presents the modelling and simulation of an active single axis solar tracker fed permanent magnet (PM) brushless motor for residential applications. The aim of this work is to extract the maximum available energy from the sun by tracking its irradiance through some mechanical means as well as to feed the energy to the permanent magnet brushless motor for consumer appliances. A photovoltaic module with sun tracking arrangement by means of a Permanent Magnet Direct Current (PMDC) motor is proposed. The solar irradiance is detected by two Light-Dependent Resistor (LDR) sensors that are located on the top and bottom surface of the photovoltaic panel. The position and status of the sun are detected and the resultant signals from the sensors are fed into an electronic control system that operates a low-speed tracking motor to rotate the panel. Based on the sensor signals, the microcontroller determines the optimum angle for the panel to track at various insolation. A battery with charge controller topology is used to store the electrical energy generated from the sun. Then the stored energy is given to the three phase inverter driven ceiling fan motor. A computer model of the standalone solar tracker system feeding ceiling fan is modelled using MATLAB/Simulink environment.

  A FEED FORWARD BACK PROPAGATION ARTIFICIAL NEURAL NETWORK BASED MULTI INPUT MULTI OUTPUT CONTROL SYSTEM AS APPLIED TO THE REACTIVE POWER COMPENSATION OF AN UNINTERRUPTED POWER SUPPLY (UPS) POWERED LOAD
 

Authors: Dr. I. Muthulakshmi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/199-208

 

ABSTRACT
Uninterrupted power supply systems are inevitable for computer centres. In the case of the on line UPS system it is actually an inverter stage that powers up the load continuously in the absence or even in the presence of mains AC source. Further the large number of computers, and peripheral systems and associated accessories lead to non-linear distortions and such loads draw significantly large reactive power leading to undue loading of the UPS system. Under such circumstances it is a Static Compensator (STATCOM) that is connected across the three phase feeder to improve the power factor on the source side. The management of the STATCOM requires two control systems usually of the PI or the FLC types. In this work it has been demonstrated by way of MATLAB / SIMULINK.

  ROTATING BIOLOGICAL CONTACTOR FOR THE TREATMENT OF TEXTILE INDUSTRY WASTEWATER
 

Authors: Priya AK*, S. Nagan, Rajeswari.M,Nithya.M, Priyanka.P.M ,Vanitha R

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/209-213

 

ABSTRACT
Rotating biological contactor (RBC) equipment is frequently used for domestic and mining effluent treatment. This study conducted to treat the textile industry effluent in effective way using filamentous microbes. Textile wastewater contains contaminants such as suspended and colloidal solids also have starch and dextrin. Effective microorganisms which are capable in removing concentrated contaminant were launched for the treatment process which enhances the effeciency of RBC. Indigenous effective microbes were isolated and inoculated for present study. To manage the problems during the operation of RBC, detention time, surface for attached growth, shaft rotation and disc submerged level are to be monitored and maintained to optimum level. Textile wastewater treatment results showed that, at 40% disc submergence level after 88 hours with 15 rpm rotational speed the COD removal efficiency is efficient for this optimum condition. Idegenous organism identified is Pseudomonas sp and used for treatment using RBC. 95.5% of COD was removed effectively using RBC operating at optimum condition.

   
  ANALYSIS OF A REDUCED COMPLEXITY FFT-SPA BASED NON BINARY LDPC DECODER WITH DIFFERENT CODE CONSTRUCTIONS
 

Authors: Anbuselvi M, Saravanan P and Arulmozhi M

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/219-223

 
ABSTRACT
Low density parity check (LDPC) codes are the linear block codes with excellent error correcting performance, near to Shannon’s limit. Non-binary LDPC codes are more suitable for applications of short and moderate block length than binary LDPC codes. The criticality in achieving a better decoding capacity with reduced hardware complexity has been addressed in several research ventures of LDPC decoder design. The computation complexity of the decoder increases linearly with the order of Galois field, in par with the compromise on the decoding performance. In this paper, a variable threshold based message reduction technique and three different matrix construction methods are proposed, attaining a better tradeoff between the decoding performance and computation complexity. The implications of these proposed methods on IEEE 802.11n based application, are analysed and validated. In this work, the proposed modifications on the construction of the codes and message handling are inculcated in Non-binary Quasi-cyclic Irregular LDPC codes on the base of Fast Fourier Transform (FFT) – Sum Product (SP) decoding algorithm. With the inclusion of the two variations, the computation strength of the decoder reduces by 55% on average and the decoding performance improves by 3dB.
 

ROOT DISTRIBUTION AND STABILITY ANALYSIS OF TWO DIMENSIONAL LINEAR DISCRETE SYSTEMS USING SIGN CRITERION WITH REAL COEFFICIENTS

 

Authors: P Ramesh

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/224-228

 

ABSTRACT
A new idea was proposed to find out the stability and root location of two dimensional linear time invariant discrete system (LTIDS) for real coefficient polynomials. For determining stability the sign criterion is synthesized from the jury’s method for stability which is derived from the characteristic polynomial coefficients of the discrete system. The number of roots lying inside or outside the unit circle and hence on the unit circle are directly determined from the proposed single modified jury tabulation and the sign criterion. The proposed scheme is simple the examples are given to bring out the merits of the proposed scheme which is also applicable for the singular and non-singular cases.

  REGISTRATION AND VERIFICATION OF VEHICLES USING SECURED ALGORITHM IN VANET’S
 

Authors: Edna Elizabeth.N*, Suresha Barani

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/231-235

 

ABSTRACT
Vehicular communication and networking for intelligent transportation systems which are equipped with radio communication interface are emerging concept which allows forwarding of traffic information. Vehicular ad hoc networks (VANET’s) are self-organized networks in which vehicles communicate with each other without the presence of any priori infrastructure. The proposed scheme aims to develop applications related to transferring of secured traffic information from V2V using appropriate cryptographic algorithm. In this paper we include the development of self-managed VANET’s for the detection and warning about abnormal traffic condition by the secure routing of vehicles. Firstly, the vehicle registration is done using the public key generated by RSA algorithm. Secondly, the verification of the vehicles is done using Zero Knowledge Proof algorithm, thereby detecting and eliminating the attackers from the network. But still there are chances of modification of information by the attacker during verification process. Hence lastly, to enhance security, modified hill cipher (RSA-Hill cipher) is proposed to provide confidentiality and the algorithm proves to be better than the plain hill cipher algorithm as shown in the simulation.

  A ROBUST SPECTRUM SENSING IN COGNITIVE RADIO NETWORKS IN THE PRESENCE OF MALICIOUS ATTACK USING ENERGY DETECTION

Authors: Suresh Babu. R, Maria Lavanya.A

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/236-241

 

ABSTRACT
In this paper to propose an approach for detecting the presence of malicious attack which is commonly known as primary user emulation attack (PUEA), this type of attack act as the primary signal and delude the secondary user and occupy the whole frequency spectrum. The PUE attack sends fake signal similar to the primary signal in which it aware of whole spectrum. Then the cooperative spectrum sensing (CSS) OR rule is applied in cognitive radio network and spectrum sensing is based on energy detection scheme. The proposed method is simulated in AWGN channel, Rayleigh channel, Rician channel environment. The probability of error is minimize for different false alarming values in AWGN channel. ROC is drawn for validating the simulated results with analytical equations.

  STUDY AND DESIGN OF SOLAR GRAIN DRYER
 

Authors: Mankarnika Mane

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/242-243

 

ABSTRACT
Renewable energy can play vital role in day today life. Solar energy is easily available in India. This paper gives description of multipurpose solar grain dryer for those who want to consider their suitability for particular application. Solar grain dryer is fast, dust and dirt free. The aim of project is to design solar dryer to make best use of solar energy and overcome the traditional way of drying of grain.

  ENERGY EFFICIENT COOPERATIVE COMMUNICATION USING QOSTBC IN WIRELESS SENSOR NETWORKS
 

Authors: K. Senthil Kumar*, R. Amutha

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/244-251

 

ABSTRACT
Energy efficiency is one among the focal issues in Wireless Sensor Networks (WSN). In this paper, an energy efficient Cooperative Communication (CC) scheme for WSN is insinuated by utilizing the dependence of energy consumption on the code rate of the Space Time Block Code (STBC). The energy model for the cooperative communication using Quasi Orthogonal Space Time Block Codes (QOSTBC) is developed and reconnoitred the effect of its code rate and self-interference on the total energy consumption. It is found that the total energy consumption is greatly influenced by the code rate and least affected by the self-interference introduced by the QOSTBC. The simulation results show that significant energy saving gain of 24.24% is obtained at a Bit Error Rate (BER) of 10-6 through the proposed scheme over conventional scheme employing Orthogonal Space Time Block Codes (OSTBC) in WSN.

  STUDY ON MICROSTRUCTURE AND MECHANICAL BEHAVIOR OF PARTICULATE REINFORCED ALUMINUM MATRIX COMPOSITES (PRAMCS)
 

Authors: V. Mohanavel*, K. Rajan, S.Arul, P.V.Senthil

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/252-253

 

ABSTRACT
AA7075 aluminum alloy matrix composites with 0, 5 and 10 wt.% of AlN particulates reinforcement was synthesized by stir casting method. The wettability of aluminum nitride particles in the matrix was improved by adding (2%) magnesium in to the aluminum melt. The mechanical properties of the developed composites and base alloy were tested. Microstructures of the composites were analysed using scanning electron microscopy. The SEM micrographs revealed a homogenous distribution of AlN particles which were well bonded with the aluminum matrix. The mechanical properties of the composite is increase with increasing aluminum nitride particles as compared to unreinforced alloy.

  DESIGNING AND SELECTION OF ACCEPTANCE SAMPLING PLANS FOR INCOMING LOTS FROM AN M/M/C/K QUEUEING PROCESS
 

Authors: S. Murali* , K.S. Ramaswami , S. Devaarul

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/254-257

 

ABSTRACT
A Queueing system comprises of batches or lots arriving for service, waiting for service, and then leaving the system after service. In Quality Control literature, the group of lots/batches arrive for testing, wait for testing, and then leave the system after acceptance or rejection of the entire batches or lots. Hence the arrival of incoming lots can be considered as Poisson input and the service time can be considered as exponential output. In this article a new designing algorithm is given for the selection of acceptance sampling plans from a M/M/C/K Queuing process. Lots come in a Queueing policy and waits for the service. Here service is meant only for testing the lot and making the decision about the lot. A novel algorithm is given for sentencing the number of lots in a production process. The sampling plans are developed based on the maximum number of arrivals (K) in the Queueing system. The parameters of the Queueing policy are derived and hence the parameters of the sampling plans are determined. Tables are constructed to select the appropriate sampling plans.

  CLOSED LOOP OPERATION OF SVPWM BASED FOUR LEG FAULT TOLERANT INVERTER FOR INDUSTRIAL APPLICATIONS
 

Authors: Dr. S. Nagarajan*, P.Saradha Devi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/258-263

 

ABSTRACT
Induction motor drives are widely used in industrial applications. Inverter fed AC motor drives are sensitive to different faults. The occurrence of fault is due to failure of power switches used in the inverter. This may lead to interruption in the operation of drive system. It is essential to develop a fault detection and isolation technique to overcome the effect of fault and to supply uninterrupted power to the drive system. In this paper, a new fault detection and isolation method is proposed. In this method, the voltage source inverter is operated with four leg topology. The fourth leg in the inverter will serve as an auxiliary leg during faulty condition. If any one of the leg fails, the leg swap module in the driver circuit senses the fault and replaces the faulty leg with auxiliary leg. Once the fault is cleared, the leg swap module disconnects the auxiliary leg and connects the healthy leg to the inverter. This method provides a better compensation for inverter during faulty condition. This fault tolerant inverter is simulated using MATLAB/SIMULINK. To check the performance of the fault tolerant inverter, open circuit fault is introduced. The current and voltage waveforms are captured. From the simulation results, it is inferred that the performance of fault tolerant inverter replicates the performance of healthy VSI. The hardware implementation of fault tolerant VSI is done and the results are validated with simulation results.

  DEVELOPMENT OF AN INSTRUMENT TO MEASURE SOUND ABSORPTION
 

Authors: Niresh J, Neelakrishnan S, Subha Rani S

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/264-267

 

ABSTRACT
Impedance tube is an important device used to measure sound related properties of a material, for measuring the sound absorption characteristics of a material, the most commonly used methods are the standing wave ratio method and transfer function method. In this study a modified impedance tube with single microphone method is implemented. This type is commonly used for determining the normal incidence sound absorption coefficient. The aim of this study is to determine the accuracy of the sound absorption coefficient of various textile materials by comparing measurements from a commercially available impedance tube with the developed tube using various test samples. The developed tube can measure sound absorption coefficient in the frequency range within 80 Hz-1600 Hz. In this study various parameters such as frequency of sound generated, distance between the sound generated and physical features of samples are studied, Two different samples, Polypropylene and Coir fibers are tested in this tube and results are analyzed. The samples show significant amount of absorption at frequencies around 1KHz. The modified circuitry provides better results at higher frequencies when compared with the standard values.

  ON (αm , D) SETS IN TOPOLOGICAL SPACES
 

Authors: R. Parimelazhagan, Milby Mathew

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/268-269

 

ABSTRACT
The present paper introduces (m , D)-sets, (m , D0)-space, (m , D1)-space and (m , D2) –space by using m-open sets in topological spaces. Further, the characterizations and their properties are studied..

  ERROR- LENIENT ALGORITHMS FOR CONNECTIVITY REINSTALLATION IN WIRELESS ADHOC NETWORKS
 

Authors: M.Rajesh, J.M. Gnanasekar

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/270-278

 

ABSTRACT
As wireless adhoc network is often deployed in a hostile environment, nodes in the networks are prone to major-range breakdown, resulting in the network not working normally. In this case, a useful Reinstallation scheme is needed to restore the error network timely. Most of alive Reinstallation schemes believe more about the number of deployed nodes or error tolerance alone, but unsuccessful to take into version the fact that network Exposure and topology quality are also vital to a network. To address this issue, we present two algorithms named Packed 2-Connectivity Reinstallation Algorithm (P2CRA) and Biased 3-Connectivity Reinstallation Algorithm (B3CRA), which restore an error ADHOC in different aspects. P2CRA constructs the fan-shaped topology structure to reduce the number of deployed nodes, while B3CRA constructs the dual-ring topology structure to improve the error tolerance of the network. P2CRA is suitable when the Reinstallation cost is given the priority, and B3CRA is suitable when the network quality is believed first. Compared with other algorithms, these two algorithms ensure that the network has stronger Error-Lenient function, major Exposure region and better balanced load after the Reinstallation.

  ULTRA SONOGRAM BASED PLACENTAL VOLUME DETERMINATION IN DIAGNOSIS OF PREECLAMPSIA
 

Authors: R. Tamilselvi* , P.Jayakumar and R.Sivakumar

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/279-282

 

ABSTRACT
This paper has been inspired by the need to find an efficient method for diagnosis of Preeclampsia at an earlier stage. Preeclampsia or Pre-eclampsia is a medical condition characterized by high blood pressure or significant amounts of protein in the urine of a pregnant woman. Preeclampsia is closely related with placental dysfunction. Preeclampsia can develop anytime after 20 weeks of gestation. It is most common of the dangerous pregnancy complications. It is a major cause of both maternal and fetal mortality and morbidity worldwide. Preeclampsia can be diagnosed by measuring PSG (Pregnancy Specific Glycoprotein) 5, 9 and the placental volume. This work presents a method to develop an algorithm to diagnose the preeclampsia in pregnant woman with the help of two dimensional ultrasound images by measuring placental volume in it.

  EFFECTS OF SUSTAINABLE MATERIALS AS PARTIAL REPLACEMENT FOR BINDER AND FINE AGGREGATE IN FRESH CONCRETE STATE
 

Authors: Shiny Brintha G & Sakthieswaran N

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/283-288

 

ABSTRACT
In this article, the fresh state concrete properties like setting time and workability of concrete containing GGBS, Metakaolin and Copper Slag as replacement for cement and fine aggregate simultaneously were studied. The Metakaolin replacement at 5,10, 15, 20 and 25 % and GGBS replacement at 5,10, 15,20 and 25 % by the weight of cement were used respectively. Copper slag as partial replacement for sand at 25, 50 and 75% was used. The dosage of Super plasticizer used in this experimental investigation was 0.75% by the weight of cement and w/b ratio was 0.38. The sustainable material used simultaneously in this study of fresh concrete because of its particle size and shape is lesser for the binder material and the internal friction between the particles which overcomes the frictional resistance are due to the shape and size of the copper slag. When quantity of GGBS and Metakaolin increases workability decreases. When copper slag increases workability increases. Likewise when GGBS and Metakaolin increases setting time increases. When copper slag increases setting time decreases.

  PUBLIC AUDITABILITY USING FEED FORWARD MODEL BASED STREAM CIPHERS FOR SECURE COMMUNICATION IN CLOUD ENVIRONMENT
 

Authors: P. Saveetha, Dr.S.Arumugam

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/289-292

 

ABSTRACT
The growth of communication and their size induced organizational groups to move to cloud supports where the small scale units could not meet the investments. The service providers provide various services to store and retrieve information from and to the cloud. Generally the organizations store business and finance information and also stores personal information of many users. The service provider has the responsibility to maintain the secrecy and has to provide secure communication protocol. In the stream ciphers, the user needs chain of previous stream keys to compute the decryption key of current stream. The cloud user can download or upload information from the cloud which will be sent as a stream and to perform this user must possess the decryption key for the particular stream so that he could be able to decrypt the cipher text. A new feed forward approach for stream cipher encryption approach requires only last two stream details to decrypt the current stream. The proposed feed forward approach computed the decryption key based on previous two streams and the user could obtain the key by having the last two stream information. It uses fixed size streams but varying data rate which helps computing the key values for the stream. This approach will improve the performance of cloud environment by providing secure communication.

  ANFIS AND BPNN BASED POWER ESTIMATION METHOD FOR CMOS VLSI CIRCUITS
 

Authors: V.Govindaraj* J.Ramesh

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/293-300

 

ABSTRACT
Newer advancement in VLSI technology has led to integration of large number of transistors in a single chip and complexity of the circuits increases rapidly so that the power estimation became vital task at this stage. This work presents an Adaptive Neuro Fuzzy Inference System and Back Propagation Neural Network based method of power estimation for CMOS VLSI Circuits. The significant aspect of the proposed technique is that it can estimate power precisely without the requirement of detailed structure of the circuit and its interconnections. Fuzzy logic system is an artificial intelligence tool and its application within the power estimation problem is relatively new. Power estimation using ANFIS is done by creating initial FIS models using Subtractive clustering and hybrid learning is used for training adaptive neuro fuzzy inference systems. The BPNN is trained with various training functions and a relative study on various training algorithms for power estimation is made. The experimental results show that ANFIS gives better result in terms of training error with 0.063 % and testing error with 0.424 percent when compared to BPNN because ANFIS takes the initial fuzzy model and tunes it by means of a hybrid technique combining gradient descent back.

  CERTAIN INVESTIGATIONS ON THE PERFORMANCE OF IMPEDANCE SOURCE INVERTER FED PMBLDC MOTOR
 

Authors: Sivaranjani S, Rajeswari R

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/301-307

 

ABSTRACT
DC motors are increasing in popularity due to their performance advantages over ac motors for applications ranging from high-speed automation to electric motorbikes. However, brushed DC motors are popular for applications where speed needs to be varied or torque needs to be controlled precisely. Brushless DC motors are remembered, where even higher performance and/or reliability are required, since it overcomes the drawbacks often allied with brushed DC motors. Sparking during commutation is well known disadvantage of brushed DC motor. The mechanical commutation is replaced by electronic commutation via power converters in PMBLDC motors. These converters are having impact on the performance of PMBLDC motors. Hence this paper presents an Impedance source inverter fed Brush Less DC motor. The simulation and hardware results show that the Z-source inverter is very auspicious for PMBLDC motor drive.

  FINGERPRINT ENHANCEMENT AND MINUTIAE EXTRACTION USING VARYING BLOCK SIZE SCHEME
 

Authors: T.Sukumar, Dr.K.R.Santha

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/308-312

 

ABSTRACT
In recent time, the more popular method of protecting content is biometric. Among the biometric, fingerprint is accepted universally due to its uniqueness. Low-quality fingerprint images may contain scars, cracks, and poor ridges. These problems must be addressed before processing of fingerprint image for any specific purposes. We introduced three stage enhancement schemes to improve the low quality of images. In every stage, the block size is kept reduced to achieve better enhancement. Stage I is a primary level to enhance a fingerprint with suitable block size. Stage II refines block size to a possible extent. Stage III refines block size and helpful to remove spurious minutiae. We achieved a good valley contrast and fingerprint enhancement. After enhancement, fingerprint features are extracted from the enhanced fingerprint.

  TRIBOLOGICAL BEHAVIOR OF OFHC Cu ALLOY REINFORCED WITH WC- SiC PARTICULATE COMPOSITE BY POWDER METALLURGY
 

Authors: R.Meenakshi, Dr.P.Suresh

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/313-316

 

ABSTRACT
Silicon carbide-Tungeston carbide fiber - reinforced with OFHC copper matrix has its utilization for many electrical contacts and electrode materials in machining process for its high purity and thermal conductivity.This paper is fully based on the fabrication of powder metallurgy route in the primary stage, used to determine suitable mixing time, high compaction pressure, sintering process, corrosion resistance, selection of matrix and reinforcements of Cu–WC-SiCp matrix composites arranged for compaction process in powder metallurgy.The wear resistance of OFHC Cu /WC-SiCp composites are inspected scratch test, pin-on-disc wear test, hardness measurement and correlated with that of governing materials. WC-SiCp boosted the overall wear performance by 54% under a normal load of 48 N and at a sliding distance of 12.5 m/s which support the strengthening property of the OFHC Cu matrix. The Fragmentation, of WC-SiCp energized particles seem to be the important wear mechanisms of Cu /WC-SiCp complex under sliding wear.In this review article, improvements were concentrated in the fabrication of reinforced Cu metal matrix and properties of the Cu composites reinforced of ceramic metal carbides will be nourished To understand the wear mechanism, optical microscopy and SEM analysis must be drifted.

  ESTIMATION OF LAG OF ACCOMMODATION OF HUMAN EYE USING RAF RULER AND TAGUCHI METHOD
 

Authors: S. Umamaheswari, P. Suresh , J.Anish Jafrin Thilak

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/317-320

 

ABSTRACT
One of the major problems faced by Visual Display Terminal (VDT) users is the eyestrain, a visual discomfort that occurs during their work. To optimise the various factors that causes the eyestrain of computer users for reduce the eyestrain. In this work Taguchi method used for optimise the factors viewing angle, viewing distance and exposure time are the major factors considered here for solving the problem. In this work Lag of accommodation is taken as response variable. For measuring the eyestrain the instrument RAF ruler is used. In this method Orthogonal arrays are used for design the experiments. And all the experimental investigations made and the data is stored for data mining.

  M-HYBRIDJOIN- AN ADAPTIVE APPROACH FOR STREAM BASED NEAR REAL-TIME DATA WAREHOUSING
 

Authors: S. Sudha, Dr. S.Manikandan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/321-326

 

ABSTRACT
The Near-real-time data warehousing describes how updates from data sources are joined and transformed for storage in a data warehouse as soon as the bring up-to-date occur in the warehouse. Since these updates are not in warehouse format, they need to be transformed and a join operator is usually required to implement this transformation. A stream-based algorithm called X-HYBRIDJOIN (Extended Hybrid Join), with a auspicious asymptotic runtime behavior, was formerly proposed. However, X-HYBRIDJOIN does not tune its components under limited available memory resources and not there assigning an optimal division of memory to each join component the performance of the algorithm can be suboptimal. This paper presents a variant of M-HYBRIDJOIN called M-HYBRIDJOIN algorithms. The paper shows that after appropriate tuning the algorithm attains significantly better than that of the previous X-HYBRIDJOIN algorithms, and also better as other join operators proposed in this application. This model gives the guarantees scalability, reliability and availability aspects with reasonable query processing time. However, these large scale systems still face some challenges in the following: data skew, task imbalance, high disk i/o and redistribution costs can have calamitous effects on performance. The experimental results demonstrate the superior performance of M-HYBRIDJOIN. Here in this algorithm for selecting cache, monitoring their cost and benefits in current conditions, allocating memory to cache, and adapting as conditional change.

  A BIBLIOGRAPHIC SURVEY ON POWER SYSTEM OPTIMISATION USING SOFT COMPUTING TECHNIQUES
 

Authors: Archana N, Dr. R. Vidhyapriya

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/327-333

 

ABSTRACT
Unit Commitment and Economic load dispatch are the most significant research areas in power systems that provide economic operation of generators. The objective of this economic operation is to guarantee the optimum combination of generators connected to the system to provide the load demand. The methods for solving the unit commitment and economic load dispatch problem include traditional operational research algorithms like dynamic programming, Newton’s method, gradient search technique, Lambda iteration method and modern heuristic methods like evolutionary programming, tabu search, simulated annealing and fuzzy logic. This paper is an extensive survey of various algorithms available in the literature, applied to the aforementioned power system optimization problems.

  SMART COW HEALTH MONITORING, FARM ENVIRONMENTAL MONITORING AND CONTROL SYSTEM USING WIRELESS SENSOR NETWORKS
 

Authors: S. Jegadeesan, Dr. G. K. D. Prasanna Venkatesan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/334-339

 

ABSTRACT
Agriculture is the major source of income in countryside areas. Animals like cow, buffalo, sheep, goat etc play an important role in life of rural. They are used as a source of income. Hence animal husbandry becomes a most important concern. Lots of farmers are now torment from different killing diseases and increased breeding costs, etc. It is therefore essential for farmers to execute efficient and technical methods to increase productivity and reduce the animal’s husbandry. In this study, we illustrate Wireless Sensor Network technology to the farmers. We propose that a Wireless Sensor Networks should be installed on farms to gather ecological which shall then facilitate farmers not only in monitoring the animals via the Web from outside the farm, but also help the control of farm environmental in remote locations. In addition, facilities can be mechanically controlled based on breeding surroundings parameters which are previously set up and a SMS notice service to report of deviations shall provide users with ease. Farmers may increase production through this farm arrangement and prepare a database with information gathered from ecological factors and the farm manage devices, which is estimated to supply information required to propose and execute appropriate control strategies for farm process.

  IMAGE ENCYRPTION FOR WIRELESS MULTIMEDIA SENSOR NETWORK USING L2DCASKE
 

Authors: Jegadish Kumar. K. J , P. Kaythry*

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/340-345

 

ABSTRACT
Information security is a major issue in the field of communication systems to avert an intruder who attack the network or steal the information. Researchers in network security and information security are still active in designing various cryptographic systems to avert information hacking and network attacks. Recent wireless communication channel streams multimedia information like high-quality videos, colour still images, audios, and requires high-speed microprocessor for fast processing and secure transmission over insecure channels. Consequently, design of high-speed processing security algorithm emerged to give solutions to Wireless Multimedia Sensor Network (WMSN). Hence, this paper discusses an image encryption using Lightweight 2-Dimensional Cellular Automata based Symmetric Key Encryption (L2DCASKE) suitable for transmission of still images in Wireless Multimedia Sensor Networks.

  VERTICAL HANDOVER FACILITATION THROUGH QUEUING MODEL IN HETEROGENEOUS WIRELESS NETWORK
 

Authors:E.M. Malathy, Dr. Vijayalakshmi Muthuswamy

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/346-348

 

ABSTRACT
Finding a versatile performance analysis model makes a way for anytime anywhere wireless access in heterogeneous network. The major challenges of handover failure during vertical handover process necessitates careful analysis of handover calls arriving to the candidate network. The motivation is to utilize the tandem queuing model for wireless next generation network and facilitate zero level failure of vertical handover calls in interoperable network environment. The investigation gives smart schemes for service probability of handover calls to reduce the waiting time in queue. This efficient model enables the optimal attempt for handover decisions through proposed iterative algorithm to derive arrival rate. The simulation results brings performance analysis of Tandem queuing models with different queue size and the analysis proved achievement of low handover failure rate. Hence, this model can also be accommodated in vertical handover strategies for next generation network.

  OPTIMUM POWER ALLOCATION AND SYMBOL ERROR RATE (SER) PERFORMANCE OF VARIOUS SPACE TIME BLOCK CODES (STBC) OVER FADING COGNITIVE MIMO CHANNELS IN DIFFERENT WIRELESS ENVIRONMENT
 

Authors: R. Suresh Babu

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/349-353

 

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). In this paper, the ergodic capacity maximization problem is studied in the Rayleigh fading, Nakagami fading and Rician fading Multiple Input and Multiple Output (MIMO) channel and provides the optimum power allocation to achieve the ergodic capacity and outage capacity. This study includes the Symbol Error Rate (SER) performance of various Space Time Block Codes (STBC) such as Alamouti code, V-Blast code, Silver code, Golden code for different wireless channels such as Rayleigh, Nakagami and Rician with various modulation schemes. Numerical results are presented to evaluate the power allocation scheme for Lagrangian multiplier algorithm and Water filling (WF) algorithm schemes for comparison.

  EXPERIMENTAL AND INVESTIGATION OF A6061/SiCp/B4C BY USING TIG WELDING PROCESS
 

Authors:N.Subramani, Dr.J.Ganesh Murali

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/354-356

 

ABSTRACT
An effort has been made to manufacture composite by using TIG welding process. Hybridize composites contain more than one fiber or one matrix system in a laminate. Aluminium and its alloys are universally used in aerospace, aircraft structures and transportation industries because of their high strength to weight ratio. A6061/SiCp/B4C the particle reinforced metal matrix composites (PRMMC) was produced by using TWP. The optical and scanning electron microscopy, hardness tests were used to characterize the samples. The results indicated that the uniform distribution of SiCp particles in A6061 matrix by Tungsten inert gas welding can improve the mechanical properties of specimens. Therefore simulating the mechanical behavior of a composite plate is very important to assess the safety of the plate.

  THRESHOLD BASED TOWARD ENERGY EFFICIENT BIG DATA GATHERING IN WIRELESS SENSOR NETWORK
 

Authors:T. Sujithra, R.Venkatesan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/357-361

 

ABSTRACT
Handling massive volume of data is one of the key issues in wireless sensor network. In this paper, we propose an enhanced version of Toward Energy Efficient Big Data gathering (TEEBD) protocol called Threshold based Toward Energy Efficient Big Data Gathering (T-TEEBDG). It incorporates the features of TEEBD with threshold. It classifies the cluster members, of TEEBD as active cluster members and passive cluster members based on the threshold. Threshold value controls communication between the cluster members and the mobile element. The cluster members reach the threshold value called active cluster members that are only allowed to communicate with the mobile element while others goes to the sleep mode immediately. Thus transceiver scheduling increases the lifetime of the sensor network. The main idea of this paper is to reduce the data gathering latency by limiting the amount of data which is to be transmitted to the mobile element based on the cluster member classification. It results in reduced data traffic. From the simulation results, we show that the proposed approach reduces the energy consumption, data gathering latency and packet loss.

  A NEW APPROACH FOR STATIC SECURITY ASSESSMENT OF POWER SYSTEMS USING CORE VECTOR MACHINE
 

Authors:R. Thamizhselvan, S.Ganapathy

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/362-366

 

ABSTRACT
In this paper, a new methodology is presented for classification of power system security assessment using a machine learning algorithm. Here, Core Vector Machine (CVM) is utilized as a data classifier to evaluate of power system Static Security Assessment (SSA). One of the most important aspects for an efficient power system security evaluation is the proper selection of features. Rather than using all the features as inputs of a CVM classifier, a statistical based feature selection technique, F-Value feature selection has been used to reduce features from the larger data. The reduced feature set is then used as inputs for learning and validating the CVM classifier. The proposed algorithm is implemented in a standard IEEE 30 bus system. Simulation results reveal that, the implementation of F-Value feature selection along with CVM reduces the dimension of data space, which leads to reduced complexity and enhanced accuracy in power system static security assessment.

  DOWNLINK: PERFORMANCE OF MIMO-CDMA SYSTEM USING NON-LINEAR DETECTOR
 

Authors:P.T. Vasanth Raj and K. S.Vishvaksenan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/367-369

 

ABSTRACT
In this correspondence, we present the performance of uncoded multiple-input multiple-output (MIMO) Code division multiple access scheme (CDMA) system for downlink (DL) transmission over correlated frequency-selective channel. In a multi user DL transmission, users experience multi user interference (MUI), multi-path effects and inter antenna interference (IAI) due to the presence of multiple antennas both at the transmitter and receiver. Further, the antenna correlation results in bit error rate(BER) performance degradation. These issues require serious attention in multi-user environment communication system. We consider sub-optimal multi-user detection techniques based on zero-forcing(ZF) maximum -a-posteriori probability(MAP) Multi-user detection(MUD) to mitigate the effects of above mentioned interferences in the context of DL MIMO-CDMA system. Specifically we analyze the effects of three tap delay profile based on SUI channel models in the DL MIMO-CDMA system. Our computer simulation reveals that MIMO-CDMA with the non-linear MUD based on ZF-MAP algorithm is capable of achieving better performance with less signal to noise ratio in terms of achievable BER by mitigating the effects of MUI and multi-path propagations.

  EVALUATION OF THE CAPACITANCE OF UNIT CUBE AND CONDUCTING BODIES FOR SURFACE CHARGING ANALYSIS
 

Authors:Dhamodaran Muneeswaran and Dhanasekaran Raghavan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/370-374

 

ABSTRACT
A numerical analysis for computation of free space capacitance of different arbitrarily shaped conducting bodies based on the finite element method with triangular elements modeling is presented. Evaluation of capacitance of different arbitrary shapes is important for the electrostatic analysis. Capacitance computation is an important step in the prediction of electrostatic discharge which causes electromagnetic interference. We specifically illustrated capacitance computation of three electrostatic models like unit cube, L-shaped plate and a small cube on top of the large cube. Numerical data on capacitance of conducting objects are presented. The results are compared with other available results in the literature. We used the COMSOL multiphysics software for simulation. The models are designed in three-dimensional form using electrostatic environment and can be applied to any practical design. The findings of this study show that the finite element method is a more accurate method for the computation of electrical capacitance.

STUDY OF THE IMPACT OF RECEIVER APERTURE DIAMETER, LED ELECTRON CARRIER LIFE TIME AND RC TIME CONSTANT ON VISIBLE LIGHT COMMUNICATION USING OPTISYSTEM SIMULATION
 

Authors:K. Manivannan*, A. Sivanantha Raja, S.Selvendran

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/375-378

 

ABSTRACT
Optical wireless communication using white LEDs is the latest research field for next-generation communication. In this paper, we have studied the indoor visible light communication system with practically measured channel characteristics with the help of Optisystem simulation tool. The impact of LED’s parameters such as Electron carrier lifetime, RC time constant and receiver aperture diameter for various bitrates and link distances on VLC system are also studied. The increase of receiver diameter from 1.5 cm to 5 cm and allowing the spatial diversity reception at receiver improve the Q factor above 6.5 and also extend link range from 3 meter to 3.8 meter. The optimum link distance of 3.8 meter is reached with Q value 5.8. The designed system can support upto 10 Gbps with in the 3 meter link range in the case of both Electron carrier life time and RC time constant of 0.001 sec.

A SURVEY ON TARDINESS PARAMETERS IN PARALLEL MACHINE SCHEDULING PROBLEMS
 

Authors:Nandagopal. N, M. Arularasu , B. Nirmal Kumar, CN. Anil Kumar

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/379-383

 

ABSTRACT
Parallel machines concept is a well-known and widely used system in the manufacturing facilities. Scheduling of these parallel machines has been a key activity in the successful product outcome. Though jobs are executed on schedules, in certain cases the completion time increases resulting in tardiness. This survey work identifies and compiles the optimization strategies and solution approaches followed by the researchers to minimize varied tardiness parameters in parallel machine scheduling. The discussion focuses mainly on identical, unrelated and uniform parallel machines and the solution techniques are categorized as exact, heuristic and meta-heuristic techniques. Further, possible research extensions are presented highlighting the benefits and limitations of the existing works.

  MISSING FOURTH ELEMENT MEMRISTOR MODELING WITH NEW WINDOW FUNCTION DERIVED FROM SIGMOID LOGISTIC EQUATION
 

Authors: V. Saminathan Dr.K.Paramasivam

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/384-386

 

ABSTRACT
As a potential competition for the next generation memory technology, the newly found missing forth fundamental circuit element called memristor by HP labs in 2008 has drawn a great deal of interest. Among the emerging nanotechnologies possibilities, Memristor based technology provides much better scalability and higher packing density when used as a memory that enables the improvement of performance, power and cost of integrated circuits. Memristor behaves as a nonvolatile resistive memory and retains the information even though a power source is switched off. In this research paper, we propose a memristor model with new window function derived from sigmoid logistic equation that resolves the terminal state problem and the parameters in the proposed window function can be easily adjusted to model the different kind of memristors. The main advantages of the new window function contains less fitting parameter that should satisfy all of the memristor properties such as frequency dependent hysteresis behaviors, Hard switching effects and boundary assurance.

  COMPARISON OF FRESH PROPERTIES OF TWO DIFFERENT GRADES OF CONCRETE
 

Authors:R.Dhanaraj, N.Sakthieswaran, P.Suresh

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/387-390

 

ABSTRACT
In this present study, hybrid fibre Reinforced concrete of two various grade M40 and M50 are used. Steel fiber, Basalt Fiber and Coir Fiber are considered for the experimental study having total content of fibre 3% of binder. Silica fume of 10 % by weight of cement is partial replaced. Water binder ratio of 0.4 and 0.35 are used with Super plasticizers to maintain high workability. This study is to determine the fresh properties, setting time and workability of concrete. For the study due to the addition of fibre the aspect ratio of fibre used is 35 when compared to the past studies of fibre having length than it tensile strength increases. The non-metallic fibre in concrete improves the cohesion and so the flow ability reduces. Due to high volume of fibre there is occurrence of balling effect while mixing the concrete. The super-plasticizer used is CONPLAST SP430 dosage due its flow ability has improved when fibre is added.

  FAULT MANAGEMENT USING MODIFIED RAT FOR WIRELESS SENSOR NETWORKS
 

Authors: Sathyapriya.L, Jawahar A

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/391-395

 

ABSTRACT
Wireless Sensor Networks are self-configured, infrastructureless wireless networks made of small devices with specialized sensors and wireless transceivers. This provides larger scope of research and study in this field. Faults in one or two nodes in the network should not affect the network’s connectivity. So it is necessary to achieve a fault tolerant topology control protocol. Extending the lifetime of the wireless sensor networks remains the most challenging and demanding requirements that impede large-scale deployments of nodes. Putting the node’s radio to sleep mode can save considerable energy. These two important issues are addressed by exploiting latency and communication redundancy. This is achieved by integrating sparse topology energy management (STEM) and Redundancy Aware Topology Management (RAT) in WSN. In STEM, energy efficiency is achieved at the cost of latency. In order to maintain connectivity, only few nodes are kept active by exploiting redundancy in RAT thereby managing the faults. We exploit the energy efficiency by introducing a parameter called sleeping ratio. Our objective is to improve metrics such as Energy efficiency, Latency, Sleeping ratio. We implement this proposed scheme using network simulator (NS 2).

  DATA FRAGMENTATION FOR PRIVACY-PRESERVING STORAGE OF DATA FOR WIRELESS SENSOR NETWORKS
 

Authors:K.Sreekumar, E.Baburaj

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/396-403

 

ABSTRACT
Privacy-preservation is of great concern in Wireless Sensor Networks (WSNs). Data privacy is an important aspect to be dealt with during data transmission, data query and data storage in Wireless Sensor Networks. Technological contemplations and various legal and money-making rules claim that every time sensitive data is stored, handled, or conveyed to exterior factions, privacy guarantees need to be provided. The data collected by the sensors of WSNs are finally getting stored in the data centers. The data protection in the data centers is a big concern since the data stays fairly for a longer period in the storage area than in the wires during transmission. So, a better architecture is needed for data storage in the data centers of WSNs. To guarantee the data security of data centers, we propose a novel strategy that may not fully assist in preventing an intruder to retrieve the data, but will render the data useless if accessed, but at the same time guarantees value of the data that is being offered to its relevant proprietor or official user. We suggest a metadata-based data isolation and storage strategy and solutions to access this isolated data. This strategy guarantees that data is of no value in static residence and obtains meaning purely through acquisition or updation. This strategy gives an effective remedy for data storage protection in WSN milieu. This method, plus usual enciphering methods, will produce this paradigm extra dynamic.

  FEATURE EXTRACTION OF DIGITAL MAMMOGRAM BASED ON MULTIDIMENSIONAL COMPLETE ENSEMBLE EMPIRICAL MODE DECOMPOSITION WITH ADAPTIVE NOISE
 

Authors:B. Elizabeth Caroline, N.Vaijayanthi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/404-409

 

ABSTRACT
Mammography is the most effective procedure for the early detection of breast cancer. In this paper an efficient method for feature extraction of mammogram image in order to build a Computer Aided Diagnosis (CADx) system to discriminate between normal, benign and malignant masses is shown. The feature extraction is based on Multidimensional Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(MCEEMDAN)which decomposes a given image into frequency components called intrinsic mode functions(IMFs).MCEEMDAN was performed on Region Of Interests(ROIs) of preprocessed mammogram images. A data set of 322 images taken from Mammographic Image Analysis Society Mini Mammographic data base was used to evaluate this method. Three experiments have been performed to classify between (i) Normal and Mass ROI (ii) Benign and Malignant in mass ROI (ii) Normal, Benign and Malignant ROI. Artificial Neural Networks (ANN) was used as classifier and the maximum classification accuracy of 96.7% with 95.5% sensitivity and 93.3% specificity is achieved for the third experiment which is very much promising compared to the other methods.

  EXPERIMENTATION OF E-GLASS FIBER AND FLYASH REINFORCED WITH RECYCLED E-WASTE ALUMINIUM ALLOY HYBRID METAL MATRIX COMPOSITES
 

Authors:A.G.Ganeshkumar*, Dr.G.Ranganath, S.Shylin H Jose, M.Sakthivel, B.Pounraj

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/410-412

 

ABSTRACT
Electronics waste is commonly called as e-waste, The recovery of the Waste Electrical & Electronics Equipment (WEEE) is becoming a major problem due to its environment hazards & public health. The reverse engineering process is a powerful approach to recycle the materials and to minimize the total recycle cost and better provide quality to the customers. Metal matrix composites (MMCs) have much better properties including high specific strength, hardness and good wear resistance compared to unreinforced alloys. Among the MMC’s aluminum composites are principally in use due to their low weight and high strength. The Al6063 is segregated from the e-waste material for Processing of the composite. This paper aims to develop Aluminium based E-Glass and Flyash reinforced hybrid metal matrix composites. The bar casts composite specimens were machined as per ASTM standards to conduct hardness, Tensile and compression tests.

  MODELING OF PROCESS PARAMETERS OF FRICTION STUD WELDING USING FUZZY LOGIC SYSTEM
 

Authors:N. Rajesh Jesudoss Hynes, R.Kumar, J. Angela Jennifa Sujana

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/413-417

 

ABSTRACT
The purpose of this work is to study the influence of process parameters of friction stud welding on joining of AA 6063 and AISI 1030 steel. With the application of fuzzy logic, empirical models are developed for output response characteristics. Rotational speed, friction time and friction pressure are considered as the influential input process parameters. The values of Impact strength and axial shortening are predicted by fuzzy models and they are compared with the experimental data. The correlation coefficients between predicted and experimental values are 99.15% for impact strength and 98.05% for axial shortening length respectively. Moreover through response optimizer, to achieve impact strength of 206.46 KJ/m2 and axial shortening length 7.3798 mm optimal conditions are predicted as 1063 rpm rotational speed, 7 seconds friction time and 300 Kpa friction pressure.

  SURVEY ON OBSTRUCTIVE SLEEP APNOEA MONITORING SYSTEMS
 

Authors:R. Premkumar, C. Arun, R. Sai Divya

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/418-422

 

ABSTRACT
Obstructive sleep apnoea syndrome (OSAS) is the occurrence of excessive daytime sleepiness with irregular breathing at night. OSAHS is a major public health problem and there is a huge need for sleep service facilities due to the risk factors associated with OSAS. The public awareness on this syndrome is less compared to other disorders. Obstructive sleep apnoea disorder is associated with stress level of a person and it increases risk for cardiovascular diseases and mortality and for sleepiness- related accidents. The major problem is >75 % of the patients are unaware and they remain undiagnosed. The objective of this paper is to give various Obstructive sleep disorders diagnosis methods, particularly sleep apnoea monitoring systems, so as to have an efficient way of early detection with accurate diagnosis of OSAS.

  TESTING AND IMPLEMENTATION MULTI RESONATING ANTENNA FOR GSM/UMTS/LTE OPERATIONS
 

Authors:Mrs. C.T Kalaivani, Dr. N. kalaiarasi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/423-426

 

ABSTRACT
Multi resonating antenna proposed in this paper enhanced gain, bandwidth and Radiation parameters. The review of varies substrate parameters such as thickness and relative Dielectric constant is done and FR 4 is selected. Design and construction of Printed planar inverted-F antenna to support GSM 850, UMTS 1300 and 2.6-GHz LTE operations with an impedance adjustment structure is done and then adjusted by trial and error method. Designed antenna resulting with two resonating impedance bands is generated The Designed antenna has good promise resulted in return loss and smith chart between stimulation results and fabricated antenna measurement by the network analyzer. The multi resonating antenna has 10 dB return loss and gain of multi resonating antenna was 75%.

  TSS: A SECURE CLUSTERED ENERGY EFFICIENT ALGORITHM FOR WIRELESS SENSOR NETWORKS
 

Authors:Muthumayil K., Manikandan S., Rajamani V

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/427-433

 

ABSTRACT
WSN is mainly affected by two important factors such as security and energy. Earlier researches provide challenges for security and energy saving methods separately. The main objective is to develop a single solution for two issues such as security and energy consumption for WSN. Clustering is one of the main important techniques recognized by the industries for energy consumption. Key distribution based Management plays a vital role in succeeding security in WSN. In this paper, the requisites of WSN environment are examined, and proposed a TSS – [Three Stage Security] mechanism which consists of three stages. In the first stage TSS concentrates on clustering the nodes in the network for reducing the energy consumption. In the second stage TSS concentrates on providing security for Nodes using KDM– [Key Distribution Management] method. Finally in the third stage TSS concentrates on providing security for data using ECC– [Elliptical Cryptography Method] method. The simulation result shows TSS mechanism provides a secured communication with energy efficiency and its performance is evaluated by comparing with existing mechanisms in WSN.

  THD AND PFC CONTROL SCHEMES FOR AC TO DC SWITCHING CONVERTER
 

Authors:S. Muthukaruppasamy, A. Abudhahir

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/434-444

 

ABSTRACT
The traditional behavior of an uncontrolled rectifier is the conversion of AC line input voltage to DC output voltage. This conversion feeds current pulsation, which is absorbed from the AC line. The current pulsation comprises of a large amount of harmonics that will induce harmonic contamination and low power factor in the power system. To overcome these troubles, an active approach that combines bridge rectifier and switching power converter, is employed. The voltage regulation of AC to DC switching power converter usually exhibits poor voltage regulation. Closed loop active current mode control schemes such as peak, hysteretic, line feed forward average current mode and soft switching technique are used to amend the dynamic regulation of total harmonic distortion of line current, power factor correction, and output voltage on switching converter. It also provides better control accuracy, enhanced system stability, increased reliability, and response speed. The simulation results revealed that line feed forward average current mode control scheme outperforms other current mode control schemes in terms of total harmonic distortion and power factor correction control.

   
   
   
   
  A FUZZY ADAPTIVE LEARNING CONTROL NETWORK FOR SECURE MULTI FACTOR FACE AUTHENTICATION
 

Authors:Parvathi R, Shanthi D

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/451-459

 

ABSTRACT
The face authentication is the most significant technology to provide secure environments among government and private sectors such as bank ATM, military and online services. The face authentication is a challenging task to validate the user with uncontrolled environment like variations on expression, pose, illumination and occlusion. The proposed work produces the solution for the combination of all these constraints. During enrollment process, the facial region of still image for the authorized user is detected and features are extracted using local tetra pattern (LTrP) technique. The features are trained and classified by using fuzzy adaptive learning control network (FALCON). During authentication process, the test image varying either with expression, pose, illumination and occlusion is taken as test image and the authentication process follows the same procedure as enrollment process to train the features of test image. These features are compared with existing feature set to authenticate a person. This proposed work was tested among 1150 face images which are collected from different datasets like Yale, ORL, AR and JAFFE and it produces highest recognition rate. The work was also analyzed by employing Alyuda neuro intelligence software to simulate face authentication by producing highest correct classification rate.

  DETECTION OF DIABETIC RETINOPATHY USING MINIMUM MEAN ABSOLUTE DEVIATION MODEL AND SUPPORT VECTOR MACHINE
 

Authors:M.Sankar, Dr.K.Batri, R.Parvathi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/460-465

 

ABSTRACT
This paper presents an automated system to analyze the retinal fundus image for the presence of diabetic retinopathy, which is one of the diseases that cause blindness if left unnoticed at their earliest stage. Diabetic retinopathy is asymptotic at their initial stages hence it is very difficult to identify them manually. So an automated system is designed, in which a retinal fundus image is fed to the system where it is subjected to various processes for the identification of diabetic retinopathy with high accuracy. Initially the image is subjected to pre-processing where the noises and other photographic artifacts are removed. Next, image segmentation is carried out to segment the area of interest. Although many segmentation algorithms have been designed earlier new algorithms are being proposed every day to improve the accuracy of segmentation and to decrease the computation time. MMAD model is used in this work to segment the lesion/exudates from the retinal images. In this model the 2D histogram of the preprocessed image is converted to the 1D histogram through diagonal projection and that is subject to the segmentation which produces the accurate result and the computational time is greatly reduced when compared to various other algorithms. The final stage in this system is lesion classification where the most important properties of the lesion are taken and given to the system. Support vector machine classifier is used to classify the lesion with higher accuracy and the performance of the proposed work is analysed with existing algorithms.

  EARLIEST DIABETIC RETINOPATHY CLASSIFICATION USING DEEP CONVOLUTION NEURAL NETWORKS
 

Authors:M. SANKAR, K. BATRI, R. PARVATHI

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/466-470

 

ABSTRACT
Increasing necessity of finding a diabetic retinopathy as earliest would stop vision loss for the prolonged diabetes patient although suffered youngs. Severity of the diabetic retinopathy disease is measured based on microaneurysms, exudates detections and it grades as Non-proliferative (NPDR) or Proliferative diabetic retinopathy patient (PDR). A proposed machine learning approach such as a Convolution Neural Network (CNN) gives high accuracy in feature detection. Among other supervised and unsupervised learning algorithms involved, the proposed solution is to find a better and optimized way to detecting microaneurysms, exudates or seeped blood vessels. CNN is flexible, deep, biologically-inspired variants of multi-layer perceptrons that have proven exceptional in image classifications. A deep cascaded layers yield around 93-94% accuracy and outperforms other existing supervised algorithms. A deep convolutional neural network layers are tested with the fundus image database such as DIARETDB0 are available publicly.

  AUTOMATIC CLASSIFICATION OF RETINAL VESSELS INTO ARTERY AND VEINS USING SUPERVISED GRAPH APPROACH
 

Authors: M.Sankar, Dr.K.Batri, R.Parvathi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/471-475

 

ABSTRACT
Increasing technology leading towards the development of digital imaging systems, it has brought a tremendous improvement in fundus imaging and analysis. Classifying blood vessels would be highly help full for various retinal diagnostic. Since there are many diseases with one symptom being an abnormal characteristics of arteries and veins. For example, in diabetic patients the veins are abnormally wide ratio, while diseases of the pancreas lead to narrowed arteries and high blood pressure results in thickened arteries. There are multiple types are available for the classification of blood vessels. But, each of them has its own pros and cons. A fully automated novel methodology is proposed for the classification of blood vessels. The methodology includes advanced preprocessing techniques such as CLAHE and better image segmentation procedures. Being a supervised image segmentation it utilizes trained and tested manually classified image data sets. Level set based segmentation with a statistical model supports noise suppressed image segmentation. The tested data results are compared with manually classified image data set and proven for providing better result.

  LOCAL AND GLOBAL TONE MAPPING OPERATORS IN HDR IMAGE PROCESSING WITH AMALGAM TECHNIQUE
 

Authors:Sujatha K, Dr D Shalini Punithavathani

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/476-485

 

ABSTRACT
High Dynamic range HDR images are achieved even in mobile phone, due to the recent advances in the field of HDR. Tone mapping operator converts the HDR image into LDR images which can be visualized clearly There are various operators available in the HDR tool box In. this paper we have demonstrated the all the tone mapping operators dividing them as local and global as given in the early literature studies. The various results of the operators are shown in the paper with the subjective analysis. A new hybrid method is proposed with local and global operator and the evaluation is done. By examining all the combination of the operators the global combination with the same global method gives a promising result. Compared with the individual local and global tone mapping operators the combinational hybrid operator gives a better performance..

  PERFORMANCE ANALYSIS OF ICA, PCA AS DIMENSIONALITY REDUCTION TECHNIQUES AND APPROXIMATE ENTROPY, SRC AS POST CLASSIFIERS FOR THE CLASSIFICATION OF EPILEPSY RISK LEVELS FROM EEG SIGNALS
 

Authors:Sunil Kumar Prabhakar, Harikumar Rajaguru

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/486-489

 

ABSTRACT
Characterized by recurrent and rapid seizures, epilepsy is a great threat to the livelihood of the human beings. A significant clinical tool for the study, analysis and diagnosis of the epilepsy is electroencephalogram (EEG) .In this paper the high dimensional EEG data is reduced to a low dimension by techniques such as Independent Component Analysis (ICA) and Principal Component Analysis (PCA). After employing them as dimensionality reduction techniques, Approximate Entropy (ApEn) and Sparse Representation Classifiers (SRC) are used as Post Classifiers for the Classification of Epilepsy Risk Levels from EEG signals. The bench mark parameters used here are Performance Index (PI), Quality Values (QV), Time Delay, Accuracy, Specificity and Sensitivity. .

  LEAKAGE REDUCTION AND STABILITY IMPROVEMENT OF SRAM USING MULTIPLE THRESHOLD TECHNIQUE
 

Authors:R.Irumudipriyan, C.Thiruvenkatesan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/490-493

 

ABSTRACT
This paper focuses on the power dissipations and stability analysis of low power 12T MTCMOS SRAM cell. With continuous technology scaling, power dissipation has became biggest challenges of VLSI industry in designing of these high speed and low power devices. With projected large memory content of future systems on chip devices, it is important to consider the leakage current and stability in Static Random Access Memory structures. Memory has been the driving force behind the rapid development of CMOS technology. L1 Cache and L2 Cache are used by the central processing unit of a computer to reduce the average time to access data from the main memory. Cache memory has static random access memory. Multi-threshold CMOS (MTCMOS) is the most commonly used leakage power suppression technique in integrated circuits.

   
   
   
   
  BIO-MEDICAL WASTE SEGREGATION BASED ON HYBRIDIZATION OF SELF ORGANIZING MAP CLUSTERS WITH PARTICLE SWARM OPTIMIZATION
 

Authors:Aravindan Achuthan, *Dr Vasumathi Ayyallu Madangopal

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/500-508

 

ABSTRACT
Bio-Medical Wastes (BMWs) are originated from human or animal health care based on various numbers of factors. Due to the developments of populations in the urban area, the pollution may cause smoke generation and discharge of toxic gases by plastics and other BMW. The disposal of waste may severely affect the environment and health care workers. To overcome the above issues, this paper proposes a bio-medical waste segregation based on hybridization of clustering techniques. At first, the input garbage BMW image is preprocessed using an Adaptive Median Filtering to minimize the impulse noise. The denoise image is then extracted using Modified Local Tetra Pattern (MLTrP), which encode the images with four distinct directions and offers more detailed information. The wastage is accurately categorized and predicted based on the multi-class Relevance Vector Machine (RVM) classification. Subsequently, the preprocessed image is given as the input for clustering process using the Self Organizing Maps (SOMs) cluster along with the Particle Swarm Optimization (PSO) technique. The cluster formation of pixel features is performed for segregating the group information from the input image. The PSO technique is incorporated to accomplish minimization in the feature points and offers best fitness value. Finally, the label formation is presented in the result of cluster separation and represent the segmented output. The experimental results exhibit better results in terms of average recognition rate, classification rate, accuracy, sensitivity and specificity than the other existing methods.

  ENHANCED POWER EFFICIENT ANTENNA SWITCHING (EPEAS) FOR QOS IMPROVEMENT OF LTE DOWNLINK
 

Authors:*MUGELAN.R.K, CHANTHIRASEKARAN.K, BHAGYAVENI.M.A

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/509-515

 

ABSTRACT
Long Term Evolution (LTE) is the next major step in mobile communications.. Multiple input multiple output (MIMO) technique, is a key technology to achieve the peak data rates, low latency and spectral efficiency targets of LTE systems. The Quality of Service (QoS) of the MIMO system degrades in a highly correlated channel. The aim of the proposed work is to provide guaranteed QoS with optimal power under highly correlated channel conditions. To achieve the above objective, Enhanced Power Efficient Antenna Switching (EPEAS) strategy is proposed. This technique employs adaptive antenna switching between SISO/SIMO/MISO/MIMO modes based on channel characteristics. By adaptively switching to other modes from MIMO one transmitter or receiver or both transceiver chains are powered off thus reducing the power consumption as well as reducing the channel correlation. In addition to switching, a novel Error Vector Magnitude (EVM) based Constellation Combiner (ECC) is employed, which picks up the most optimal signal constellation for decoding from the received multipath signals thereby improving the performance. The proposed algorithm is evaluated in real time indoor channel using Wireless Open Access research Platform (WARP) test bed. The results prove that EPEAS achieves an improvement of 22.3% than the conventional MIMO mode of transmission.

  PERFORMANCE OF STRIP FOOTING ON SANDY SOIL DUE TO TUNNELING
 

Authors:S.Hariswaran, K.Premalatha, K.Raja

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/516-520

 

ABSTRACT
With the increasing urbanization, underground tunnel become necessity for major cities. Tunnels are constructed to resolve transportation problems and it may pass under existing buildings. Tunnel passage alters the performance of strip footing. Settlement characteristics and stress distribution get altered due to tunneling activity. Detailed experimental investigation was carried out to understand the influence of the parameters such as eccentricity of footing and placing depth of tunnels in the performance of strip footing. The differential settlement of strip footing during tunneling, final tilt of the strip footing and ground loss due to tunneling for different conditions were observed. The results of the test indicate that there is a critical region below the footing. When the tunnel crosses within that region, stability of footing got altered. Safe placing depth was arrived based on the maximum vertical settlement criteria and differential settlement criteria. For all the tested condition, the safe placing depth of tunnel beneath the footing based on the observed differential settlement is 10.5 times the breadth of footing (10.5).

  A SURVEY ON NON ADAPTIVE IMAGE INTERPOLATION ALGORITHMS BASED ON QUANTITATIVE MEASURES
 

Authors:C. John Moses, D. Selvathi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/521-526

 

ABSTRACT
Image interpolation is a procedure used in expanding and contracting digital images. Image interpolation is referred by various terminologies such as image scaling, image resizing, image resampling, digital zooming, image magnification or enhancement. Image interpolation is widely used in many consumer application devices such as charge-coupled device (CCD) camera, closed circuit television (CCTV), mobile phones, high definition players and endoscopes. There are two kinds of image interpolation algorithms as non-adaptive and adaptive interpolations. The non-adaptive method uses a fixed methodology to handle all source pixels throughout the interpolation operation. But the adaptive technique uses different techniques to handle source pixels during the entire interpolation process. The advantage of adaptive technique is better interpolated image, but it requires high computational cost. So to reduce the computational cost of image interpolation, non-adaptive interpolation algorithms are preferred. This survey analysis the characteristics of different non-adaptive interpolation techniques based on their peak signal to noise ratio (PSNR) of interpolated image and their computational complexity. This work also explores the applicability of these techniques in real time applications. Based on the evaluation of different interpolation techniques it can be suggested that the first order polynomial convolution interpolation (FOPCI) is suitable for real time applications due to its better PSNR and its low computational complexity, and the performance of FOPCI can also be improved by using appropriate filters.

  ANALYSIS AND DESIGN OF VLSI FLOORPLANNING ALGORITHMS FOR NANO-CIRCUITS
 

Authors:Gracia Nirmala Rani. D, Rajaram .S

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/527-532

 

ABSTRACT
The semiconductor industry has advanced tremendously over the last ten years with features sizes being downscaled from micrometer to nanometer regime. As the VLSI technology marches towards nanotechnology, the physical design complexity is increasingly with millions of layout objects on a monolithic chip. In the physical design process, floorplanning is an important step, as it establishes the groundwork for a good layout. The existing challenges and limited solutions to the different issues under VLSI floorplanning problem include placing a set of circuit modules on a chip to minimize the total area and interconnect cost. And adding constraints such as alignment and performance blocks will make the floorplanning problem more critical. Also, more packing density of the modules inside the floorplanning will lead to increase the temperature and interconnection problem. All these issues must be addressed fully for the successful deployment of the intelligent VLSI floorplan representation. In this paper an attempt is made to address these issues by proposing robust algorithms and validating them with the MCNC benchmark circuits.

  ANAPHORA RESOLUTION IN TAMIL THROUGH DECISION TREE LEARNING - CHALLENGES AND TACKLES
 

Authors:Arul Deepa K* , Deisy C

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/533-538

 

ABSTRACT
This manuscript presents a decision tree based machine learning algorithm for Tamil Anaphora Resolution. For the received input Tamil text document the system first identifies mentions which are pronouns (of the type personnel, reflexive, possessive and distributive) and noun phrases. Then characterization of each mention is done by a pipeline of dispensation namely segmentation, rule-based morphological analysis and noun phrase chunking. This system addresses the additional challenges of Tamil like morphological richness, semantic ambiguity and more deictic. Then the system built a feature vector of lexical, syntactic and semantic features for machine learning. The preferred decision tree based system has obtained f-measure of 73% and up to 77% accuracy, which is an encouraging result for a challenging language like Tamil. The experiments were done on NER corpus (Tourism) of TDIL dataset, which encourages future comparisons against the obtained results.

  STUDIES ON DRY SLIDING WEAR BEHAVIOR OF ALUMINIUM METAL MATRIX COMPOSITE PREPARED FROM DISCARDED WASTE PARTICLES
 

Authors:L. Francis Xavier, P.Suresh

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/539-543

 

ABSTRACT
In this investigation, Aluminium Metal Matrix Composite was prepared by reinforcing discarded waste particles like wet grinder stone dust particles and waste tonner. Dry sliding wear test was conducted using Pin-on-Disc wear testing apparatus for the different combinations of wear parameters like loads, sliding speed and sliding distance using Taguchi and ANOVA techniques. Regression analysis was also employed to establish the correlations between the wear parameters and the wear rate. Finally, a confirmation test was conducted to validate the taguchi method. From the experimental results, the composite prepared by reinforcing 5wt % of Wet grinder stone dust particles and 5 wt % of Al2O3 has shown good resistance to the wear rate compared to Al6063 alloy and the composite prepared by reinforcing 5wt % of waste tonner + 5 wt % of Al2O3. The sliding distance was the most significant parameter influencing the wear rate followed by applied load, sliding speed and percentage of reinforcement material respectively.

  A NEW METHOD FOR INTEGRATING FEASIBILITY ASSESSMENT AND CELL FORMATION PROBLEM CONSIDERING OPERATION SEQUENCE
 

Authors:S. Raja, and V. Anbumalar

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/544-551

 
ABSTRACT
Cellular manufacturing necessitates that machines are to be grouped in to machine cells and parts are allocated in to part families based on relevant similarity measure. Majority of the previous research has mainly focused on cell formation problem. However, only very few researchers have focused on cell formation problem and feasibility assessment based on zero one machine part incidence matrix as the input data for their study. In this research, a new generalized similarity coefficient method is proposed to integrate feasibility assessment and cell formation problem with the consideration of operation sequence. The objective of our proposed approach is to detect right number of cells in the machine part incidence matrix using eigenvalues of the similarity coefficient matrix and kaiser’s rule and also solve the cell formation problem based on operation sequence data. To validate the method, two well-known bench mark problems are engaged. The performance of the proposed method is evaluated with problem drawn from open literature and the results are compared with the existing method. The results clearly show that the proposed approach generate better or equal solution than the existing method.
  INDUSTRIAL APPLICATION OF RICE HUSK ASH (RHA) AS A INSULATING MATERIAL :A SOLUTION FOR REDUCTION IN LAND POLLUTION
 

Authors:Mrs. Sarika Bhusari

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/552-553

 
ABSTRACT
Disposal of rice husk ash is an important issue in the countries which cultivate large quantities of rice. Rice husk has a very low nutritional value and as they take very long to decompose are not appropriate for composting or manure. Therefore the 100 million tons of rice husk produced globally begins to impact the environment if not disposed of properly. Industries use rice husk as fuel in boilers for power generation. Among the different types of biomass used for power generation, rice husk has a high ash content varying from 18 – 20 %, silica is the major constituent of rice husk ash. RHA has got numerous applications in silicon based industries. Substantial research has been carried out on the use of RHA as a mineral admixture in the manufacture of concrete. Due to its refractory properties, crystalline RHA is the most wanted material for steel industries, ceramic industry and for the manufacture of refractory bricks. In most of the industries, process equipments such as vessels, pipelines are insulated to prevent an excessive flow of costly heat to the surroundings. The requirements of a insulating material that it should be readily available, inexpensive, non-toxic. In this paper the RHA has been attempted to use as insulating material using pigment gum as a binder.
  LEAN MANUFACTURING IN A MANUFACTURING INDUSTRY THROUGH VALUE STREAM MAPPING AND SIMULATION STUDY
 

Authors:S. Mahendran, Dr. A. Senthil Kumar, Dr.R.Jeyapaul

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/554-558

 

ABSTRACT
Today’s world, manufacturing industries are more competitive and increase the productivity with less cost. There are using certain principle to reduce the cost and wastage. Lean principle is the best method to reduce the wastage. Lean means reduce the waste. In this paper a reference is made in an automobile valve manufacturing industry. Cycle time and takt time are calculated for various processes. Value stream mapping is the main tool used to reduce the wastage. Current and future state value stream mapping illustrate before and after implementation of lean. The matlab simulation software is used to check the values of lead time, inventory and total distance travelled within the range. The results show that there is a significant improvement in floor space, reduction in inventory, reduced lead time and distance travelled.

  EXPERIMENTAL INVESTIGATIONS OF NEW POWDER METALLURGY ELECTRODE IN ELECTRICAL DISCHARGE MACHINING OF OHNS USING TAGUCHI METHOD
 

Authors:Mathalai Sundaram C, Sivasubramanian R, Chandrasekaran K

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/559-564

 

ABSTRACT
Electrical discharge machining (EDM) is one of the commonly used nontraditional machining methods to produce die cavities by the erosive effect of electrical discharges. This method is popular due to the fact that a relatively soft electrically conductive tool electrode can machine hard work piece. However, production cost increases with the complexity of the eroded cavity. And the major problem in the EDM industry is the Electrode Wear Rate. To overcome the EWR, a new electrode is developed through powder metallurgy process. It is the process of combining two and above metal powders and follow the process of sintering and compacting. The developed electrodes are tested in EDM machine with die material OHNS. The input parameters current, voltage, pulse on time & pulse off time are varied and the input parameters MRR & EWR are analysed. The optimization of the parameter is important to achieve the better quality in EDM. The material removal rate (MRR), tool wear rate and percentage of wear rate are obtained by experimental methods and by using Taguchi Techniques. In addition, the analysis of variance (ANOVA) is used to predict the significant factor affecting the Responses. This research focuses on fabrication of metal matrix composite (MMC) electrode by mixing copper powder with TiC powder and copper with WC.

  WEIGHTED TEMPORAL PATTERN MINING WITH DIMENSIONALITY REDUCTION USING MODIFIED AFCM TECHNIQUE
 

Authors:J. Mercy Geraldine, E. Kirubakaran, S. Sathiya Devi

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/565-571

 

ABSTRACT
Frequent itemset mining from a time series database is a difficult task. Various techniques have been proposed to mine the frequent associations among the data from the temporal database, but the huge size of the database and frequent time based updates to the database lead to inefficient frequent itemsets. Hence we proposed a dimensionality reduction method which reduces the quantity of data considered for mining. In the proposed system, initially the time based data are converted into fuzzy data. These fuzzy data are provided as input to the proposed Modified Adaptive Fuzzy C Means (MoAFCM) algorithm which is a combination of FCM clustering algorithm and Cuckoo search optimization algorithm. FCM performs dimensionality reduction on the fuzzy data and clustering is performed by the combination of both FCM and cuckoo search optimization algorithm leading to optimized clusters. The resulting clusters contain reference points instead of the original data. Optimization by cuckoo search algorithm leads to better quality clusters. Weighted temporal pattern mining is performed on these clusters to identify the effective temporal patterns which consider knowledge about the patterns having low frequency but high weight in a database which undergoes time based updates. Implementation of the proposed technique is carried out using MATLAB platform and its performance is evaluated using weather forecast dataset.

  THREE STAGE GA BASED HYBRID ROUTING ALGORITHM FOR SOLAR POWERED WIRELESS SENSOR NETWORKS
 

Authors:R. Nallusamy

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/572-578

 

ABSTRACT
Wireless Sensor Networks (WSNs) play an important role in monitoring and collecting data from difficult geographical terrains. The inherent constraints such as limited battery life, memory and less processing capability of the sensors make the routing of WSNs a tedious task. This paper proposes the utilization of solar energy with a view to extend the life of the networks in WSNs perspective. The existing routing algorithms in WSNs are quite complex in nature and many of them use data-centric based concept. Almost all the algorithms consume considerable amount of time for data aggregation. The route convergence time is also a critical factor in WSNs due to energy constraints existing in them. To avoid such types of drawbacks, this paper proposes a simple location based hierarchical, straightforward point-to-point SP routing for solar powered WSNs. By using energy efficient clustering and routing concepts, the energy consumption and computational overhead will be considerably reduced. After deploying the sensors in the field, the nodes can be grouped into small sized clusters. The routing overhead will further be reduced with the grouping of sensors into small sized network topologies. One node will act as a Cluster Head (CH) for each cluster. The nodes can communicate through CH, if any event occurs. A three phase Genetic Algorithm (GA) with k-means clustering is proposed for clustering and routing in WSNs. After clustering is over, initial feasible routes are generated for each cluster by using a new algorithm called Basic Solution Algorithm. The Shortest Path (SP) route from source node to CH within the cluster is calculated using GA. The three phase GA also provides efficient solution for routing in WSNs with a fast convergence rate.

  SECURED MESSAGE DISTRIBUTION BASED ON MULTI-BIT DIGITAL SIGNATURE IN MOBILE AD-HOC NETWORK
 

Authors:J.Nandhini, D.Sharmila

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/579-586

 

ABSTRACT
Route identification and digital signature has been considered in Mobile Ad hoc NETwork (MANET) for efficient message broadcasting. The integrity and authenticity through acknowledgement packets, forged acknowledgment attack is not possible due to dynamic traffics. In addition, the route identification usually filters out newly observed polluted nodes through digital signature scheme. Thus, the information state is obtained through Gittins index, because the traffic changes continuously and demand for security arises. In this paper, we propose a Sender Route Authentication with Multi-bit Digital Signature (SRA-MDS) model to improve security level during message broadcasting in MANET. Initially, the route authentication in MANET is verified through evaluate the confidence value and probability measure of the neighboring node that efficiently performs the route authentication to reduce the network overhead. Authenticated routes are selected for message broadcasting using authentication and verification algorithm, aiming at reducing the forged acknowledgement attacks. Broadcast message is finally secured on dynamically changing topology using Multi-bit Digital Signature generation. A single instance digital signature with multiple bits is used to highly secure the broadcasted message in SRA-MDS model. Extensive performance analysis is performed to prove the effectiveness and strengths of the proposed message broadcasting model in MANET. Moreover, simulations were performed to measure several parameters, like the network overhead, secure message forwarding rate and acknowledgement attack rate. It shows that SRA-MDS model significantly reduces the network overhead, acknowledgement attack rate and improves secure message forwarding rate compared to the state-of-the-art works.

  COMPARISON OF ARTIFICIAL NEURAL NETWORK APPROACH AND DATA MINING TECHNIQUE FOR THE PREDICTION OF SURFACE ROUGHNESS IN END MILLED COMPONENTS WITH TEXTURE IMAGES
 

Authors:D. Nathan, G.Thanigaiyarasu,K. Vani

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/587-592

 

ABSTRACT
This article presents a procedure for using machine vision data to predict surface roughness parameter of the end milled components. Stylus based surface roughness measurements were used and compared to vision based prediction of surface roughness. Wavelet decomposition was used to extract features from vision based data. In this article wavelet Energy features of approximations and details were extracted. The proposed method utilized two different classification techniques. M5P Decision tree was used as one of the technique to classify and correlate surface roughness of milled components. Artificial Neural network was another technique. The obtained surface roughness values were compared with the stylus type surface roughness measurement. It is found that artificial neural network classification outperforms the M5P decision tree.

  DESIGN OF ARTIFICIAL NEURAL NETWORK BASED CONTROL SCHEME FOR THE MANAGEMENT OF THE UNIFIED POWER FLOW CONTROLLER IN A SINGLE MACHINE INFINITE BUS BAR SYSTEM
 

Authors:Dr. K. Pounraj, Dr. S. Selvaperumal

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/593-596

 

ABSTRACT
Reactive power compensation is a main predicament in the control of electric power system. Reactive power from the source increases the transmission losses and decreases the power transmission aptitude of the transmission lines. In adding together, reactive power must not be transmitted throughout the transmission line to a longer distance. Accordingly Flexible AC Transmission Systems (FACTS) devices such as static compensator (STATCOM) unified power flow controller (UPFC) and static volt-ampere compensator (SVC) are worn to effortlessness these problems. The unified power flow controller is the primarily pliable and composite power electronic apparatus that has emerged as the very important paraphernalia for the control and optimization of power flow in electrical power transmission system.
This paper made an effort to achieve the performance analysis of UPFC using ANN controller in MATLAB Simulink surroundings. The performance of UPFC was analyzed in terms of the Source power factor, load power factor, THD of load voltage and THD of source current. The Source power factor, load power factor, THD of load voltage and THD of source current of ANN as compared with PI and Fuzzy Controller were gritty by simulation studies. It is observed that the UPFC under ANN controller is having good source power factor, load power factor, THD of load voltage and THD of source current. Hence ANN controller is performing better than PI and Fuzzy controller. Also the proposed ANN based UPFC also improves the power factor near to unity and reduce the reactive power drawn from the diesel generator compared to Fuzzy based UPFC. The real and reactive power co ordination control technique for the UPFC using ANN control model can be easily achieved.

  RELIABILITY IMPLICATION OPERATIONS IN HETEROGENEOUS MULTICORE PROCESSORS USING INTELLIGENT METHODS
 

Authors:A. S. Radhamani

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/597-601

 

ABSTRACT
The problem of task scheduling on heterogeneous multiprocessor systems is known to be NP-complete in general. Solving this problem using by conventional technique Cache Fair Thread Scheduling with wait free data Structure (CFTSWF) needs reasonable amounts of time. Therefore, a heuristic technique is introduced for solving it. This paper presents a new heuristic algorithm for task scheduling, based on evolutionary method which embeds a new fast technique into Genetic Algorithm (GA). By comparing the proposed algorithm Genetic Algorithm based CFTSWF (GA-CFTSWF) with a CFTSWF algorithm, it is found that the computation time of the new algorithm to find an optimal schedule is decreased; also, the power consumed by the cores of schedule or the finish time is decreased too.

  SHORT TERM HYDROTHERMAL SCHEDULING IN POWER SYSTEM USING IMPROVED PARTICLE SWARM OPTIMIZATION
 

Authors:P. Ramesh

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/602-606

 

ABSTRACT
The problem of determining the optimal hourly generation in hydrothermal power plants and total thermal generation is studied. A multi reservoir cascaded hydro-electric system with a non-linear relationship between water discharge rate, net head and power generation is considered. PSO technique has been motivated by the behavior of the organisms such as fish schooling and bird flocking. The individual particles are drawn stochastically towards the position of their own previous best performances and the best previous performances of the neighbors. The improved PSO technique is applied in this problem and the results are obtained. The simulation results reveal that the features of are easy to implement, with an acceptable execution time for scheduling the hydrothermal system can be active.

  ESTIMATION OF INDUCTANCE GRADIENT EMPIRICAL FORMULA OF RAILS USING REGRESSION ANALYSIS TECHNIQUE
 

Authors:R. Murugan, S. Poorani, A. Keshtkar, L. Gharib

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/607-610

 

ABSTRACT
Rail gun is an electromagnetic apparatus that translates the electrical energy into kinetic energy to accelerate the projectile along the rails with higher velocity. The fraction of kinetic energy to electrical energy is called efficiency of the rail gun. The efficiency of the rail gun depends on inductance gradient of the rails (L’), as it straight away decides the force to current that accelerates the projectile. For the past several years the L’ values are calculated using analytical methods and numerical methods. The analytical method is suitable for solving simple problems and numerical method needs code and program and also it is a time consuming process. Hence, a simple method is needed to calculate L’ values of the rails. As the L’ values depends on rail dimensions, now-a-days, researchers focuses on obtaining a simple empirical formula which can be used to compute the L’ values of the rails with respect to rail dimensions. In this paper, an attempt is made to extract an empirical formula that can be used to compute L’ of the rails using regression analysis technique. In order to extract an empirical formula, the L’ values are calculated using ANSOFT field simulator for various rail dimensions initially. The obtained L’ values are entered and simulated by using curve fitting software called Oakdale Data Fit Engineering and the best equation, which can be used to compute the L’ of the rails extracted. The L’ values are calculated using the extracted empirical formula and compared with the other researcher’s values shown a good agreement between the results.

  MULTILEVEL INVERTER BASED UPQC FOR POWER QUALITY IMPROVEMENT
 

Authors: R.Saravanan,P. S. Manoharan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/611-617

 
ABSTRACT
This paper aims at the development of multilevel inverter (MLI) based unified power quality conditioner (UPQC) for power quality improvement in 13 Bus system. In this paper, a 9-level based UPQC system is developed to maintain the system voltage and current profile at the grid as well as the load. The power quality of the proposed systems is progressed by controlling the MLI switches using a firefly algorithm (FFA) based pulse width modulation (PWM) scheme. The synchronization of UPQC with proposed 13 bus system is done with same FFA algorithm. The simulation and experimental results of the proposed system are clearly presented, which indicates that proposed FFA-PWM can facilitate the seamless control, over 9-level UPQC converter when power system instability is detected and it also improves the power quality in the system within the standard limit.
  WATER-BINDER RATIO ON BINARY REPLACEMENT OF FINE AGGREGATE – A FRESH STATE
 

Authors: M. Priyanka, N. Sakthieswaran

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/618-620

 
ABSTRACT
In this present scenario, we are in need to preserve our natural resources and to use the policy of 3Rs - Reuse, Recycle and Reduce the by-products or the non combustible resources out from various industries in various forms. In this study, the effect of water-cement ratio on binary replacement of fine aggregate is done by conducting the tests at a fresh state. The mix design conforming to IS 10262 – 2009 for M50 grade of concrete (1: 1.63:3.23). The water to binder ratio is altered within the range from 0.35 to 0.5 with an equal interval of 0.05The materials used here are by-products (green sand), non combustible elements (bottom ash) replaced for fine aggregate in amounts of 10%, 15%, 20% and 25%. 7% of cement by weight is replaced with Silica fume for all the proportions of w/c and replacement of fine aggregate. Super plasticizer of 4% is added. The mortar and concrete is prepared and tested for its setting time and workability with slump cone test. The results showed that the combined effect of these materials of green sand and bottom ash reduces workability whereas the binder silica fume increases it. The setting time was increased by green sand. It is also observed that bottom ash after a certain amount of replacement for fine aggregate increases setting time. Thus the effective utilization of bottom ash and green sand is studied and highly recommended to maintain the workability of concrete works and also for the preservation of natural resources (Sand) to our extent.
  SUPPLY VOLTAGE FLUCTUATION IMMUNE SHEPWM FOR MULTILEVEL INVERTERS WORKING WITH FLUCTUATING DC SOURCES
 

Authors: T.Sreedhar and K.Udhayakumar

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/622-631

 

ABSTRACT
Selective Harmonics Elimination (SHE) technique adds values to multilevel inverter (MLI) based systems. Previously developed SHE pulse width modulation (SHE-PWM) strategies mainly focused on specific harmonics elimination with equal and unequal DC sources. DC input voltage of MLI fluctuates dramatically when small DC-link capacitor is used or in distributed generation systems such as in a photovoltaic systems. The severity of this fluctuation is well received by the research community when the inverter system utilizes the single phase AC source. An effort is made to compute the optimized switching angles to eliminate a set of preferred lower order harmonic components of the MLI output voltage even when DC inputs fluctuate. The proposed supply voltage fluctuation immune SHEPWM (SVFI-SHEPWM) is an ingenious solution to SHE problem of MLI with fluctuating DC input. The complete algorithmic development of the strategy along with the MATLAB simulation study is presented. The experimental investigation is carried out with the proto type seven level MLI using the field programmable gate array (FPGA).

  SPECTRAL CLUSTERING AND GRAY CODING FOR ANONYMIZATION OF HIGH DIMENSIONAL DATA
 

Authors:D. Vanathi, Dr. P. Sengottuvelan, Dr. N.Kuppuswamy

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/632-637

 

ABSTRACT
In data mining, privacy preservation plays a major role in protecting the sensitive information from the transactional database against multiple users. Maintaining privacy for high dimensional data in the databases become very much essential in applications such as public health services, military information sharing, and financial sectors. Usually, dimensionality reduction techniques are used for preserving privacy. To protect high dimensionality data from the unauthorized extraction of information, data anonymization techniques are implemented. Recent works on privacy preservation techniques were presented based on data transformation, relational data modeling, and k anonymity techniques. But the existing techniques works well with the low dimensional data with fixed schema. To enhance the privacy preservation in high dimensional data, in this work, Spectral Clustering technique is introduced to identify priority/dominant user requisite characterized attributes and reduce the dimensionality of tuples using spectral clustering. Spectral clustering is the process of organizing the similarities of prioritized / dominant user requisite data to corresponding labels of varied spectra of the transactional data (data anonymity for user access). Then the data anonymity provides an enhanced privacy preservation of high dimensional dataset with gray code sorting. Experimental evaluation is conducted with character trajectories real data sets from UCI machine learning repositories to analyze the performance of spectral clustering technique for preserving the user data privacy [SCTPP] in terms of scalability, privacy level, and spectral cluster reliability.

  TRANSFORM BASED APPROACH FOR PEAK TO AVERAGE POWER RATIO OPTIMIZATION IN MIMO-OFDM BROADBAND WIRELESS SYSTEMS
 

Authors:Palanivelan M,Sheila Anand, Lakshmanan M, Noor Mohammed V

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/638-641

 

ABSTRACT
With the advent of fourth generation (4G) broadband wireless communication networks, the combination of Multiple-Input Multiple-Output (MIMO) wireless technology with Orthogonal Frequency Division Multiplexing (OFDM) has been recognized as one of the most promising technique to support high data rate and high performance applications. One of the major problems posed by MIMO- OFDM system is its high Peak-to-Average Power Ratio (PAPR), which seriously limits the power efficiency of the transmitting amplifier. PAPR forces the amplifier to operate beyond its linear range with a consequent nonlinear distortion in the transmitted signal. To effectively combat the high peak power that results from the addition of number of subcarriers of OFDM in time domain, we apply non-linear transform based approach Modified Sliding Norm Transform (MSNT) technique in MIMO-OFDM wireless broadband system and the proposed technique is proven to be distortion less PAPR reduction scheme.

  REACTIVE POWER COST ASSESSMENT IN WIND FARMS USING MONKEY TREE SEARCH ALGORITHM BASED LOAD TRACING
 

Authors: P. Booma Devi * & Dr. A. Shunmugalatha

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/642-649

 

ABSTRACT
One of the main researches drastically growing in the power system is optimal cost allocation. Wind energy as an inexhaustible supply of renewable resources has become the hot spot of international communication. The induction generator used in Wind Energy Conversion System (WECS) always absorbs certain amount of reactive power for its active power transfer. In this paper, load tracing using a novel Monkey Tree Search algorithm (LT_MTSA) is employed to obtain the minimum cost of reactive power in wind farms in an optimal manner. To achieve this target, both sensitivity analysis and tracing can be employed whereas the latter is found to be superior. The convergence graphs using the proposed load tracing algorithm are plotted to prove that LT_MTSA has faster convergence and reduced error rate when compared with other conventional algorithms namely Blended Crossover-Continuous Ant Colony Optimization (BX-CACO), Continuous domain Ant Colony Optimization (ACOR), Evolutionary Programming (EP) and Genetic Algorithm (GA). Later on, a comparison chart for active power pricing on all the 15 generators in practical 75-bus Indian system Wind Farms (WFs) is plotted to compare our proposed algorithm with other tracing algorithms like Bialek’s and Kirschen’s tracing and to prove the solution optimality in achieving minimum reactive power cost. Case study of a practical 75-bus Indian system wind farm is considered for analysis and the coding is written in MATLAB to validate this approach.

  LUNG NODULE VOLUME GROWTH ANALYSIS AND VISUALIZATION THROUGH AUTO-CLUSTER K-MEANS SEGMENTATION AND CENTROID/SHAPE VARIANCE BASED FALSE NODULE ELIMINATION
 

Authors: Senthilkumar.T.K., Ganesh. E.N., Umamaheswari. R

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/650-656

 

ABSTRACT
The objective of this work was to develop an automated computerized algorithm to detect the cancerous nature of lung. An Auto Cluster K-means segmentation(ACKMS) was used to segment the lung nodules from CT-scans. ACKMS algorithm was developed such that it selects initial clusters automatically by average minimum-maximum pixel computations. All the candidate nodules segmented from the CT-scan were reconstructed to develop a 3D-image. The vessels and calcifications were eliminated by centroid/shape/edge variation analysis. Nodule growth analysis was carried out on real nodules remained after eliminating vessels and calcifications. The rate of nodule growth(RNG) was computed in terms of 3D-volume change. The CT-scans of 34 patients taken at different time intervals were analyzed. In total, 400 to 600 candidate nodules of size> 3mm were segmented from every scan series. Out of the 34 shortlisted real nodules, 3 nodules had RNG value>1, confirming their malignant nature. For another 14 nodules, the RGN value was ranged in between 0.2 and 0.8, suggesting a need for another follow-up scan to confirm malignancy. The remaining 17 nodules showed RGN< 0.2; seven nodules showed almost zero and in the remaining 10 cases follow-up scan was advised based on patients living habits and environmental conditions.

  PROTECTING SENSITIVE FUZZY ASSOCIATION RULES IN NON TRUSTED THIRD PARTY MODEL
 

Authors: K. Sathiyapriya, Dr. G. Sudha Sadasivam

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/657-662

 

ABSTRACT
With the exponential growth of data, a distributed approach for data mining becomes essential to extract hidden useful knowledge. An extensive research has been done on privacy preservation of databases owned by multiple parties and is mostly cryptography based. Research works done on parallel rule hiding is limited and are computation and communication intensive. Most of the techniques available deal with hiding sensitive rules which are binary in nature. However, in real world applications, values are quantitative in nature and distributed across different databases. This paper proposes a method to effectively hide sensitive association rules in a quantitative database distributed across many sites. The local large item set found in each site is communicated to central site for global mining and hiding using Message Passing Interface thus reducing communication overhead. Experimental result shows that the proposed approach hides the sensitive data in distributed database with minimal communication overhead and side effects.

  sb* - CLOSED SETS AND CONTRA sb* - CONTINUOUS MAPS IN INTUITIONISTIC FUZZY TOPOLOGICAL SPACES
 

Authors: A. Poongothai*, R. Parimelazhagan, S. Jafari

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/663-667

 

ABSTRACT
In this paper, we introduce and study the concept of intuitionistic fuzzy sb * - closed sets and also we study the intuitionistic fuzzy contra sb* - continuous maps and its properties in intuitionistic fuzzy topological spaces.

  APPLICATION OF SELF ADAPTIVE DIFFERENTIAL EVOLUTION ALGORITHM FOR OPTIMAL PLACEMENT AND SIZING OF RENEWABLE DG SOURCES IN DISTRIBUTION NETWORK INCLUDING DIFFERENT LOAD MODELS
 

Authors: M. ArumugaBabu, R.Mahalakshmi, S.Kannan, Karuppasamypandiyan and A. Bhuvanesh

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/668-675

 

ABSTRACT
In recent years, the renewable energy Distributed Generation (DG) sources like Photovoltaic, Wind farms gain more im-portance in the distribution network due to its fuel free, emission less operation and their system loss reduction capability, when they are placed in an optimal place/location with an optimal size. This paper presents the application of Self-Adaptive Differential Evolution Algorithm (SaDE) for finding an optimal placement and size of renewable DG sources for real power loss minimization. Photovoltaic cell and Wind type DGs are used in this work for real power loss minimization. Photovoltaic cell is modeled as a real power generating unit while Wind plant is modeled as a real power generating and reactive power consuming unit. When high solar energy and/or wind energy are present, the excessive power generated is stored in storage units. During unavailability of solar and wind, the demand is satisfied by utilizing power from the storage units. The optimal DG Placement and its size are calculated for constant and voltage dependent loads. The performance of SaDE for finding optimal placement and size of DGs in the distribution network is illustrated with two distribution networks namely 33-bus and 69-bus system.

  PERFORMANCE ANALYSIS OF INTELLIGENT CONTROL BASED MULTI CONVERTER UNIFIED POWER QUALITY CONDITIONER SYSTEM FOR ENHANCING POWER QUALITY
 

Authors:Mohankumar.G.B, Manoharan.S

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/676-682

 

ABSTRACT
This paper proposes Hybrid Fuzzy Proportional-Integral Controller (HFPIC) to enhance the performance of the Multi Converter Unified Power Quality Conditioner (MC-UPQC) to improve the Power Quality (PQ) in a multi-bus with sub-transmission system. Unified Power Quality Conditioner (UPQC) is the optimum solution to improve the quality of power which is mandatory for electricity consumers. Many customers who require high reliable power, utilities provide dual feeds; i.e. service to facility comes from two independent transmission lines. It necessitates the MC-UPQC to maintain quality in both transmission lines. Conventionally the MC-UPQC is controlled using Proportional-Integral Controller (PI controller) for common DC Link Voltage Control. In this paper, HFPIC is proposed for the combined advantages of Fuzzy Logic Controller (FLC) and PI controller to control common DC Link Voltage. In the proposed configuration, a common DC-link capacitor feeds all converters which are connected back to back on it. So the power is transferred from one line to adjacent line to compensate for voltage sag/swell. Traditional PI and FLC-based MC-UPQC performance are compared with the proposed HFPIC controller. Harmonics produced by voltage oscillation is also mitigated within IEEE standards. The entire MC-UPQC system is assessed using MATLAB7.7/ Simulink..

  STRENGTH AND DURABILITY STUDIES ON QUARRY DUST CONCRETE WITH INHIBITOR
 

Authors:R.Umamaheswari, G.Elangovan, S.Rajendran

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/683-686

 

ABSTRACT
The main intension of the work is to study the strength and corrosion resistive properties of concrete containing Quarry dust as fine aggregate along with organic inhibitors Ethyldimethylamine, Ethyleneglycolamine and Diglycolamine. The strength and durability of the concrete can be determined at 1%, 2%, 3% and 4% of organic inhibitors. To evaluate the performance of the concrete, the compressive strength, split tensile strength, flexural strength can be determined. In addition to that, the resistance to corrosion is found on the basis of penetration of chloride ions by means of Rapid Chloride Penetration Test (RCPT) and Gravimetric weight loss method. The test results show that the use of well graded quarry dust instead of sand along with admixture improves the strength of concrete. Further, the addition of inhibitors provides very good resistance against chemical attack and increases corrosion resistance.

  ENERGY EFFICIENT MOBILE ELEMENT DATA GATHERING IN WIRELESS SENSOR NETWORKS
 

Authors: T.Sujithra*, R.Venkatesan

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/687-692

 

ABSTRACT
In recent studies, mobile element acts as a mechanical agent equipped with a powerful transceiver and battery. It directly collects the data from the sensors in the sensing environment via single-hop communication when traversing its transmission range and eventually delivers the collected data to the data collection centre. As a mobile element collects the data from every sensor node, the length of the mobile element tour will be increased. It results in increased data gathering latency. Timely data gathering is very important for criticality based applications such as forest fire monitoring, landslide monitoring, earthquake etc., to reduce the disaster level. In this dissertation, we propose a new data gathering approach for criticality based applications by using single mobile element. Mobile element collects the data from only the subset of nodes called buffering nodes. Our idea is to minimize the data gathering latency by controlling the mobile element data gathering. In which, mobile element collects the information only from the buffering nodes that are in the critical situation. Intensity level of criticality value controls the mobile element data gathering. Buffering nodes collect the data from only the nodes that reach the threshold value in the local sensing region. It limits the amount of nodes that are communicating with the buffering node. It reduces the burden of buffering node and data traffic in the local sensing region. The experiment results show that the proposed approach outperforms than the benchmarking protocol in terms of reduced data gathering latency and increased network lifetime.

  PILOTING INDICATION FOR FLIGHT DIRECTIONS AT TURBULENT ATMOSPHEREIC AIRFLOW USING LABVIEW
 

Authors: S.Umamaheswari, Karthick Raja R, P.Suresh, J.Anish Jafrin Thilak

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/693-697

 

ABSTRACT
This paper deals with identification and observation of uncommon and occasional vibrations in Airplanes during flight. Here It is dealt with an uncommon and an occasional vibration called Buffet. The Vibration felt in the airplane during flight is sensed parallel to the sensed air turbulence. If turbulence is measured and found to be the reason for the vibration or the buffet it is necessary to identify the various turbulence and its respective frequencies for the effective managed flight operating systems. By this detail studies It is clear to know about other uncommon vibrations that are due to other factors and failures as well. This will help the pilot crew to identify the difference of malfunctioning due to common and uncommon vibrations and other malfunctioning due to systems failure by using the strategy of controlled instrumentation by developing a VI based monitoring and indication with a simple first order system in a graphical programming to indicate with the help of VI front panel.

  A MODIFIED STABILITY ANALYSIS OF LINEAR DISCRETE SYSTEMS FOR UNITY SHIFTED UNIT CIRCLE
 

Authors:P Ramesh*

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/698-701

 

ABSTRACT
This paper presents a new approach to test the stability of one dimensional linear time-invariant discrete system represented in the form of characteristic equation. A study of discrete system which presents the formulation of stability in the x=z-1 plane, where the roots of the characteristic equation f(z)=0 should lie within the unity shifted unit circle. The coefficients of this characteristic equation are suitably arranged in the form of (n+1)*(n+1) matrix and the inner determinants are evaluated using Jury concept. Further one more necessary condition is also suggested along with Jury’s conditions for stability. New schemes for the stability analysis with reduced computational cost were also developed which are simple, direct and easy to use, Illustrations are also included to show the applicability of the proposed scheme.

  REVIEW ON EMBEDDED SYSTEMS BASED STRUCTURAL HEALTH MONITORING FOR THE DAMAGE DETECTION AND PLACEMENT OF SENSORS IN AN OPTIMAL METHOD
 

Authors:U.Muthuraman, N.Sakthieswaran, P.Suresh

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/702-706

 

ABSTRACT
Structural Health Monitoring (SHM) is one of an emerging field in engineering. Structural Health Monitoring plays a vital role in diagnosing the state of the structure at every moment during its life period, especially civil structures which are protect from various damages, monitoring periodically. For monitoring and damage detection sensors are deployed in the structures Sensors cannot be placed at different locations of the structure and it will be locate in an optimal way. For the optimal localization of sensors an analysis obtained for the better technique to perform in a perfect way to placing the sensors in a specific points. Sensors have to be located at those points which reflect the damage. By this optimal analysis method the number of sensors usage will be reduced. Computation time, Distribution of sensors, Complexity of networks and in addition, the high power consumption and cost of sensors will be reduced.

  WHITE BOX TESTING TECHNIQUE FOR SOA APPLICATION
 

Authors:Dr. A. Nirmal Kumar, Dr. B.G. Geetha

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/707-709

 

ABSTRACT
In past, SOA (Service Oriented Architecture) is not implemented in event exposure. In existing system integration testing approaches for Web service compositions treat Web services as black-box components and verify the correctness of their choreography only. According to the anti-decomposition axiom, verifying the choreography cannot guarantee that a service composition has been adequately tested. This approach to whiten the testing of service compositions based on events is exposed by services. To assure the quality of an SOA application, service consumers usually conduct integration testing to verify whether all the involved services work correctly when composed in the SOA application.

  DURABILITY STUDIES ON CHEMICALLY ACTIVATED HIGH VOLUME FLY ASH CONCRETE WITH CRUSHER SAND AS FINE AGGREGATE
 

Authors:D.Bhuvaneswari, V.Revathi*

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/710-715

 

ABSTRACT
This paper examined the durability studies on chemically activated high volume fly ash concrete (AHVFAC) with crusher sand as fine aggregate. OPC concrete and high volume fly ash concrete (HVFAC) were made for comparison. A small amount of NaOH was used as chemical activator to enhance the early age compressive strength of HVFAC. Studies such as compressive strength, weathering resistance, RCPT test sorptivity, and carbonation test were determined. The test results indicate that performance of AHVFAC is reasonably higher to OPC concrete and shows better improvement over HVFAC in terms of strength and durability..

   
   
   
   
   
   
   
   
  PREDICTION OF MACHINING PARAMETERS FOR CNC TURNING OF INCONEL X-750 USING GENETIC ALGORITHM
 

Authors:K. Senthilkumar and P. Marimuthu

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/726-728

 

ABSTRACT
The aim of the paper is to conduct the experiments on Inconel X-750 in the Computer Numerical Control (CNC) turning lathe for the investigation of machining process parameters like cutting speed, feed and depth of cutting with an objective of minimization of the surface roughness. The cost effective machining with the generation of good surface finishing on the Inconel X-750 material by turning operation is the challenge of manufacturing Industries. Major advantages of High Speed Machining are the high material removal rates and better surface finishing were machined on the materials . The output parameter like surface finish can be optimized for economical production. Several techniques are available for optimizing the input parameters to get optimized output parameters and in this research, Genetic Algorithm is used. L27 experiments have been conducted with the suitable combinations of input parameters. The Relationship between input parameters and surface roughness parameters are formulated regression equations through Minitab software. These regression equations are solved by Genetic Algorithm (GA) using MATLAB Software. Optimum values are obtained for Minimum Surface Roughness (Ra). The confermation experiment have been conducted to validate the test results obtained from GA.

  SELECTIVE ASSEMBLY - A SOFTWARE APPROACH
 

Authors:MalaichamyT, SivasubramanianR, SivakumarM

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/729-735

 

ABSTRACT
The manufacturers are eagerly looking novel manufacturing methods, which produce quality and trouble free product with lower price in turn to get more profit. This is true because customer fixes the cost of product in the market. In random assembly, to produce high precision assembly, it is necessary most often to go for secondary operation, which increases the manufacturing cost and delivery time. Also, the scrap produced high when larger dimension variation exists. Selective as-sembly is a technique in which measured components are partitioned and the respective group components assembled randomly. Because of partitioning, it is possible to produce high precision assembly from low precision components. This technique is implemented when the cost of precision is meeting out the implementation cost. A good number of authors in literature have introduced different selective assembly techniques. There are no papers published in literature survey, which concentrate the cost benefit aspect by adopting selective assembly technique. Hence, it is proposed to analyze the cost benefit aspects by implementing different selective assembly techniques. The closed form equations are to be developed for the given standard deviation of components and the standard deviation of assembly requirements for different group number. Power Builder/Visual Basic, an optional programming language and Sybase SQL Anywhere may be used as a front end and back end tools respectively. The proposed software has proved its importance in finding the suitable selective assembly technique and as well as the group number with almost nil surplus parts. It has been demonstrated on a simple additive assembly.

  HIGH PERFORMANCE CONCRETE COMPOSITE USING M SAND
 

Authors:Magudeaswaran. P*, Dr. Eswaramoorthi. P

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/736-742

 

ABSTRACT
High performance concrete composite replaced manufactured sand is that the added advantage within the construction industry. The main objective of High performance concrete composite to develop the mechanical strength parameters of concrete by substitution Natural sand into manufactured sand, industrial waste and using admixture. To investigate the performance of this concrete in terms of workability of manufactured sand, industrial waste and using admixture in concrete. To research the performance of these concrete terms of its compressive strength, split tensile strength, bending strength and young’s modulus. This paper puts forward the applications of manufactured sand as an effort towards property development in Asian nation. It will facilitate to seek out viable answer to the declining accessibility of natural sand to create Eco balance. Manufactured sand is one in all such materials to switch river sand, which might be used as an alternate fine aggregate in mortars and concretes. The employment of manufactured sand in concrete is gaining momentum recently. The present experimental investigations are created on concrete victimization manufactured sand as fine aggregate and observed the results of manufactured sand on strength properties of concrete.

  EFFICIENT GENETIC ALGORITHM BASED QOS MULTICAST ROUTING IN MANET
 

Authors:S.Jebakumar Gomer Rajadurai, J.Veerappan, K.Ramasamy

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/743-747

 

ABSTRACT
A mobile ad-hoc network is a self healing network and it has an interconnected system with large number of hosts. It is proposed to analyze the GA-QOS-BEMRP protocol for mobile ad-hoc network to improve the bandwidth efficiency. GA-QOS-BEMRP protocol produces high throughput and less delay compared to other routing protocols. GA-QOS-BEMRP establish a multicast tree with minimum bandwidth and end to end delay. NP-Complete is a QoS multicast routing problem. It depends on bounded end to end delay and minimum cost. Two important QoS constraints are end to end and bandwidth constraint. In this paper, presents GA-QoS-BEMRP that is used to resolve the Quality of Service (QoS) multicast routing problem. Source Tree based multicast routing protocol is used to provide better bandwidth efficiency. Simulation result shows that genetic algorithm based QoS BEMRP is effective and give efficient bandwidth.

  A GRAPH-BASED ALGORITHM FOR DETECTION OF COMPOSITION LOOPS DYNAMICALLY IN WEB SERVICES
 

Authors:Dr. Adlin Sheeba, Dr. R. Joseph Manoj

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/748-750

 

ABSTRACT
In today’s web, Web services are created and updated on the fly. Given the large amount of existing services and the diversified needs nowadays, it is time-consuming and difficult for end-users to find an appropriate single Web service. The most promising feature of the Web services platform is its ability to form composite services by combining the capabilities of already existing services. Traditional Web service compositions concentrate on issues such as quality of service and fail to detect composition loops. Automatic dynamic composition of web services has drawn a great deal of attention more recently. In this paper, we propose an algorithm for the automatic dynamic composition of web services based on graph. Moreover, the graph based algorithm helps to detect composition loop.

  AN EFFICIENT ASSOCIATION RULE BASED HIERARCHICAL ALGORITHM FOR TEXT CLUSTERING
 

Authors:J. Dafni Rose

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/751-753

 

ABSTRACT
In this modern era, the amount of information available has become too large. But are we getting useful information still remain a question. Text clustering is one of the techniques that helps organize information and hence obtain information in a more efficient manner. This paper presents a new technique for clustering text documents based on association rule based systems. In this approach, the text documents are preprocessed and the association between the text files are found using Apriori algorithm. The associated text files are clustered using hierarchical clustering algorithm. The text files are also clustered using hierarchical algorithm. The results of both the methods are evaluated. The algorithms are tested on benchmark data set Reuters-21578. The experimental results prove that the Association Rule Based Hierarchical clustering method (ARBHC) produce better results and also improved cluster quality over hierarchical method..

  A UNIFIED FRAMEWORK FOR MULTI-OBJECTIVE TEST CASE PRIORITIZATION IN REGRESSION TESTING
 

Authors:Lilly Raamesh

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/754-760

 

ABSTRACT
Testing is an integral part of any software development. This paper focuses on prioritizing the multi-objective test cases in a system while conducting the regression testing so as to reduce the number of test cases in a test suite and prioritize them while retaining the highest percentage of the original test suite’s fault detection effectiveness. Regression testing is an important process as it is to be ensured that changes that are made have not introduced new faults. Regression testing is expensive if it allows the re execution of all test cases. In this situation, test case prioritization techniques aim to improve the effectiveness of regression testing by ordering the test cases in an order that attempts to maximize the objective function. In this paper, in order to maximize the effectiveness of the system the reduction, optimization and prioritization of test cases are combined using minimum redundancy and maximum relevance (mRMR) feature selection and genetic algorithm. So, a unified framework is introduced for multi objective test case prioritization for regression testing. This paper focuses on prioritizing the multi objective test cases in a system while conducting the regression testing by using feature selection and genetic algorithm. Feature selection removes redundancy and selects maximum relevance test cases. A genetic algorithm is a robust search technique, often utilized to identify the accurate or approximate solutions for optimization and search problems.

  SLIDING MODE CONTROL FOR ROBUST TRACKING OF A FIRST ORDER SYSTEM WITH TIME DELAY
 

Authors:*Senthil Kumar B, Dr.K.Suresh Manic

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/761-764

 

ABSTRACT
This paper presents Sliding Mode Control tuning Methods and Conventional First Order Sliding Mode Control applied to a First Order System with Time Delay which is realized in State Space. The controllers gives the comparative performances when applied to the system with respect to robustness properties like parameter variations and external bounded disturbances. The controller performances are judged by continuous and discontinuous control by simulations.

  SFCM FOR EFFICIENT BRAIN TUMOR SEGMENTATION
 

Authors:*Dr. Lenin Fred .A , Ashy.V.Daniel, Jerusalin Carol .J

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/765-768

 

ABSTRACT
The noise is the unavoidable problem in CT/MR brain images. The segmentation using fuzzy c-mean algorithm also has the noise problem. To solve this problem a new method of Spatially Coherent Fuzzy Clustering is introduced. In this, i) the noise problem of FCM is reduced by integrating the local neighborhood information ii) for more accurate segmentation, phase congruency is used. The analysis shows that the segmentation efficiency and noise robust is more than the standard FCM and K-mean clustering algorithm..

  MACHINE LEARNING APPROACH FOR IDENTIFYING AND DIAGNOSING THE CANCER TYPES
 

Authors:B. Uma Maheswari, V. Steffi Joy

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/769-773

 

ABSTRACT
The prediction of various cancers and their treatment has been developed using Decision Tree and Memetic algorithm. The multiple drug cancer chemotherapy schedule was prepared and the optimized results were found for cancer treatment. The machine learning based classifier J48 was used in the proposed technique. The class label was used for generating pruned or unpruned C4.5 decision tree for classifying the cancer types. The decision tree classification analysis gives discriminate results in the tree formation of two groups based on various cancer symptoms.
The objective is to minimize the tumor size under a set of constraints. Various algorithms are used to optimize the multidrug cancer chemotherapy. The correlation based feature selection algorithm and a local search algorithm called Iterative dynamic programming (IDP) were combined to form a new Memetic algorithm (MA-IDP) to solve the problem. Memetic algorithm MA-IDP is efficient for solving the multidrug scheduling optimization problem. The experiment is conducted on cancer data set and the result gives the better accuracy of classification when it was compared to other conventional methods.

  VALID REGION ESTIMATION FOR NEAREST NEIGHBOR QUERIES
 

Authors:N. Mythili, Dr.C.Jayakumar

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/774-780

 

ABSTRACT
In Spatial Query processing, among various queries, Nearest Neighbor Queries are taken into consideration. While sending Nearest Neighbor Queries, a mobile client will suffer to get the exact nearest spatial object since the mobile client is in a moving condition after sending a query. To avoid this, we propose a novel method to construct the Estimated Valid Region so that the mobile client will have the assurance of the nearest object what he received previously till he is in the Estimated Valid Region. We propose a formula to calculate the area of the Estimated Valid Region and also we propose a technique to help the mobile client to determine where the Estimated Valid Region starts and ends..

  MINING OF MEDICAL DATA AND ANALYSIS OF CANCER FROM CHILD CANCER DATA SET USING DATA MINING TECHNIQUES
 

Authors:M. Sangeetha, Dr. N. K. Karthikeyan, Dr. P. Tamijeselvy

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/781-784

 

ABSTRACT

  A STUDY ON IDENTIFYING THE INTERESTINGNESS OF FEATURES IN HIGH DIMENSIONAL DATA
 

Authors:M.Esther Hannah, Archana. C.S

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/785-789

 

ABSTRACT
Identifying the interestingness of features in high dimensional dataset is an improvised way for reducing dimensionality, removing irrelevant data and redundant data, increasing learning accuracy and improving the results. The feature selection algorithm is considered to be the combination of a search procedure with an evaluation measure which scores the different feature subsets. These algorithms effectively has two basic criteria named as, quality and time requirement. The main scenario of feature selection process is to improve the accuracy level of classifier, reduce dimensionality and speedup the clustering tasks. A number of supervised and unsupervised techniques for selecting features are discussed. The efficiency and effectiveness of these feature subset selection algorithms are evaluated through an empirical study. Comprehensive experiments are carried out to perform the feature selection algorithms like FCBF, ReliefF, FAST, and GRASP.

  USER BEHAVIOR BASED TRUST ESTIMATION FOR WEB SERVICE ACCESS CONTROL MODEL
 

Authors:Dr. R. Joseph Manoj, Dr. Adlin Sheeba, M. D. Anto Praveena

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/791-796

 

ABSTRACT
With the increasing trend among business organizations to move around the web services platform, Web services paradigm creates new security challenges which can only be realized by developing effective access control models. Now a day service provider’s big challenge is detecting and preventing malicious requesters or behaviours. In order to evade malicious requesters or behaviors, the service providers who allows service requester to access the web services, requires development of access control models that can capture relevant information about a service requester at the time of access request and incorporate this information for making effective access control decisions. This proposed system provides an enhanced approach to detect and prevent IP address spoofing, SQL injection to avoid unauthorized users and capture relevant information such as network conditions, frequency of access, timeout, success rate, failure rate etc., about a service requester and establish trust value. Based on the trust value the honest and active users will be allowed to access the service otherwise their trust value will be decreased and not be allowed to access the service. So this method would control malicious requesters to access the web services and make the authorization process effective. This paper also compares existing system and proposed system and verifies the performance and correctness of the proposed work based on simulation results from a prototype implementation.

  CLOUD STORAGE AUGMENTATION WITH MULTI USER REPUDIATION AND DATA DE-DUPLICATION
 

Authors:J.K. Periasamy,B. Latha

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/797-803

 

ABSTRACT
One of the major applications of Cloud computing is “Cloud Storage” where data is stored in virtual cloud servers provided by numerous third parties. De-duplication is a technique established in cloud storage for eliminating duplicate copies of repeated data. The storage space is reduced and the capacity of bandwidth is increased in the server using Data De-duplication. It is related to intelligent data compression and single-instance data storage.To take the complexity out of managing the Information Technology infrastructure, the storage outsourcing has become the popular option. The latest techniques to solve the complications of protective and efficient public auditing for dynamic and shared data are still not secure against the collusion that is, the illegal agreement of the cloud storage server and the multiple user repudiation in workable cloud storage. Hence, to prevent the collusion attack in the existing system and to provide an effective global auditing and data integrity, the group user repudiation is performed based on ordered sequence of values commit and group signature is generated with secure hash algorithm. The group user data is encrypted using block ciphers and bilinear transformation. This work also introduces a new approach in which each user holds an independent master key for encryption using convergent keys technique and out sourcing them to the cloud. The storage optimization was achieved with the help of messaging scheme between sender and receiver over the network, which reduces the overheads correlated with the duplication detection and query processes. The planned system also uses binary diff technique rule to identify the unique data chunk which is stored in the cloud. The breach of privacy and leakage of data can be prevented to acceptable level. The data chunk size is set by the user. Moreover, this work also proposes a feasible technique to detect storage of copyright and hazardous content in Cloud.

  DELAY TOLERANT MULTI VARIANT QUALITY DRIVEN VIDEO STREAMING APPROACH FOR EFFICIENT VIDEO STREAMING IN MOBILE AD HOC NETWORKS
 

Authors:Sathiyavathi V and Jayakumar C

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/804-807

 

ABSTRACT
The problem of video streaming has been well studied in previous articles and the authors described various methods for efficient video streaming in peer to peer networks. Still the methods suffer with the problem of poor video quality, latency and poor throughput ratio. To overcome the deficiency in video streaming a delay tolerant approach has been described in this paper. The delay tolerant multi variant approach maintains the strategies of the network like the routes available, the peers has the resource and the details of routes. At each time window, the method performs delay approximation which is computed based on the reception of acknowledgment of network packets. Based on the delay factor computed, the video quality required and the route factors available, the method performs the route selection. The selected route will be used to stream the network packets and this is performed at each time window. The proposed method improves the performance of video streaming in mobile ad hoc networks. The paper also, consider about the peer selection and route selection to improve the quality of service in Manets.

  QoS BY CONTEXTUAL DATA ORGANIZATION AND ACCESS CONTROL IN IoT CLOUD SERVICE ARCHITECTURE USING OVERLAY NETWORK
 

Authors:Dr. S. Neelavathy Pari, G.Vithya, Dr.B.Vinayagasundaram

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/808-817

 

ABSTRACT
Future Networks for Smart Sensing by Internet of Things (IoT) having taken giant leaps. It has emerged as one of the most promising fields with a plethora of applications. Due to burgeoning demands in data rates and Internet-enabled services, network traffic is increasing at an alarming rate. Sudden and unforeseeable large-scale anomalies, dense network causes problem in packet organization and access control. Due to sporadic interferences between multiple networks developing a ‘‘One-Queue-fits-all’’ solution is a great challenge. However, priority analysis for data services bolsters QoS to a great extent in future IoT. Based on their criticality levels the proposed Context Aware Access control in Mixed Criticality (CAAM) algorithm aims to control the access by assigning a priority between the packets from diverse networks. The fundamental part of the algorithm deals with presenting an overlay network with Direction and Region architecture for criticality estimation and analysis in a contextual manner to support service architecture. Estimation of data is by the context priority which defines the service order such as Event, Time, Location, Spot, Specific, Random, Ordinary and Query to avoid delay and delay variations. An octree structure is employed to organize the estimated data. By octree operations the various levels service and to support QoS by priority for the transmission to the IoT via cloud is eventually set. The service architecture is designed for event, time as well as query based data providing a holistic approach for the future network such as 4 G and 5 G.

  NOVEL TECHNIQUE ON IMPROVEMENT OF DYNAMIC PERFORMANCE FOR POSITIVE OUTPUT TRIPLE LIFT LUO CONVERTER
 

Authors:S.Sivarajeswari, Dr.D.Kirubakaran

 

IJAET/ Volume VII/ Issue I/ Jan.-March.'2016/818-821

 

ABSTRACT
The positive output triple lift Luo converter is a newly developed advanced DC-DC converter. The object of this paper is to design and analyze a Fuzzy Logic Controller for positive output triple lift Luo converter (POTLLC). Fuzzy logic is recently increasing emphasis in process control applications. Properties of the proposed controllers are: 1) robustness around the operating point, 2) good performance of transient responses under varying load conditions and/or input voltage, and 3) invariant dynamic performance in the presence of varying operating conditions. The positive output triple lift Luo converter performs the voltage conversion from positive source voltage to positive load voltage. The simulation model of the positive output triple lift Luo converter with its control circuit was developed in Matlab/Simulink. Experimental Results are compared with simulation results.

  SECURED TRANSMISSION OF DATA IN MOBILE WIRELESS SENSOR NETWORKS
 

Authors: G. Rohini, C. Gnana Kousalya

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/822-826

 

ABSTRACT
Wireless Sensor nodes are small, inexpensive, low-power, distributed devices, which are capable of local processing and wireless communication. Each sensor node is capable of only a limited amount of processing. In wireless sensor networks, a sensor node communicates with a small set of neighbour sensor nodes and with the base station through a group leader or a cluster head. In this paper, we propose to design a private key management system authenticated by group leader for the transmission of a node. In the proposed scheme, the group is divided into sectors. The motion of the node is related with the angles to the group leader, which is the basis of our proposal. The nodes movement and activity should be tracked. The proposed scheme attains high security with the help of the directional transreceiver.

  DESIGN AND IMPLEMENTATION OF ADAPTIVE MODEL FOR SUSTAINABLE HOME AUTOMATION USING INTERNET OF THINGS (IoT)
 

Authors: S.Hasan Hussain*, S.Geetha, M. Amutha Prabhakar

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/827-829

 

ABSTRACT
Nowadays, a person wants to see the world in their own hands due to this reason people are moving to smart home concept. Smart home atmosphere is nothing but people try to making their life more comfortable and easier by using Internet of Things (IoT). Smart home is a idea that operates the appliances in the home automatically by using internet connection without human interferences. IoT integrates human and all objects with smarter systems, it acts as an interface between real time world and human. While designing smart home using ubiquitous computing the system facing problems like security, architecture, standards and protocols adaptation. The main barrier of smart home scenario is interconnection of all devices with a high availability of internet. There is a major issue on implementation of interconnected devices due its high cost. The configurations of various devices are fails to give strong protections due to lack of security standards. To overcome this problem this paper we propose smart home automation systems with security audit for enabling logging and forensic with user notification. This system also deals with communication protection in the sense of modification, replay and denial of services. We proposed a system that improvises data leakage, minimization of data and reducing implementation cost.

  INTEGRATED WEB SERVICE COMPONENT INTERFACE FOR EFFICIENT E-LEARNING SERVICES
 

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

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/830-832

 

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.

  REDUCE CASTING DEFECTS IN FOUNDRY BY TAGUCHI METHOD
 

Authors: P. Kumar & Dr. N. Mohan Das Gandhi

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/833-835

 

ABSTRACT
In this paper the casting defects such as shrinkage, sand drop, blowhole are minimized by using Taguchi optimization techniques. The process parameters selected for the sand casting are Compression Strength (g/cm2), Moisture Content (%), Permeability Number, Mould Hardness number. The Taguchi approach is used to find the signal to noise ratio of the experiments based on the orthogonal array (L9) used to find the Optimum condition. A confirmation run is used to verify the result, which indicated that this method is more efficient in determining the best casting parameters.

  PROVINCE AND ENERGY BASED ITINERARY SELECTION FOR SECURE ROUTING IN MANET USING BEE COLONY OPTIMIZATION
 

Authors: M. Vijay Anand, C. Jayakumar

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/836-840

 

ABSTRACT
MANET is a set of n range of mobile nodes that are connected with the wireless Infrastructure much less type of network. Many challenges arise in MANET due to Mobility of nodes which includes Route Discovery, malicious attacks and so on. The Dynamic Mobility of nodes in MANET leads to complexity within the discovery of the shortest and optimal path. This paper proposes the algorithm Dynamic Province Based Route Selection Algorithm (DPBRSA) that's deployed primarily based on the precept of Bee colony (Mating) Optimization and AODV protocol for shortest route discovery .This algorithm also ensures to mitigate Black hole attack.

  REACTIVE POWER CONTROL OF DOUBLY FED INDUCTION GENERATOR USING DIRECT POWER CONTROL
 

Authors: B.Vaikundaselvan, M.Kannan

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/841-850

 

ABSTRACT
Active and reactive power control of DFIG using back to back converter, operation is reviewed and the mathematical model for real and reactive powers are derived from its equivalent circuit. The control circuit for Grid Side Converter (GSC) and Rotor Side Converter (RSC) have been prepared and implemented by using DPC scheme. Direct power control technique based on grid voltage orientation has been proposed. The DPC gets the same control performance as vector control, but has better robustness and simple structure. This DPC approaches the Instantaneous Reactive Power (IRP) p-q theory, which is based on the Clarke transform of voltages and currents in three-phase systems into α and β orthogonal coordinates. In this proposed control, DPC is used to control both active and reactive power under steady state condition. The simulation of a 1hp DFIG based GCWECS with PI controller is carried out using MATLAB/Simulink. The steady state behavior of system was analyzed for synchronous (157 rad/sec), sub synchronous (135 rad/sec) and super synchronous speed (179 rad/sec). The reactive power supplied by DFIG for three modes of operations (synchronous, sub synchronous and super synchronous speeds) are zero, and has been validated by the simulation results. The hardware results also confirmed the reactive power as zero for all the three conditions.

  EFFECT OF THERMAL BARRIER COATING ON PERFORMANCE AND EMISSION CHARACTERISTICS OF A DIESEL ENGINE
 

Authors: L. Anantha Raman, S. Rajakumar, Lokesh Paradeshi

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/851-853

 

ABSTRACT
The main objective of this present study is to evaluate the performance characteristics of thermal barrier coating in direct injection diesel engine. Combustion chamber of the engine (piston crown, cylinder head and valves) were coated with partially stabilized zirconia of 0.5 mm thickness. Plasma spray coating technique has been used to coat the engine components. Experiments were carried out in a single cylinder, four stroke direct injection diesel engine. The results showed that, the brake thermal efficiency of diesel engine is increased marginally after ceramic coating. Also, the specific energy consumption decreased with engine coating. Carbon monoxide and hydrocarbon emission levels are decreased but in contrast, the oxide of nitrogen emission level was increased due to the higher peak temperature.

 

SOLAR POWERED AUTOMATED IRRIGATION SYSTEM FOR AGRICULTURE

 

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

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/854-858

 

ABSTRACT
The main objective of this paper is to provide auto irrigation system to sense the soil moisture level. And this level of sensing is done by soil moisture sensor which detects the moisture level and also provides moisture level to various crops in a controlled manner. When the moisture level of the soil is decreased below a certain level then the sensor sends the detected value to the microcontroller. According to the value that is sensed by the sensor, the water is supplied to the crops automatically to the desired level in order to maintain the moisture content in the soil. The theme of this paper is to reduce the human intervention (farmers) and use solar energy which is one of the non renewable sources for irrigation purpose. The overall system controlled by the PIC microcontroller.

  NUMERICAL SIMULATION TO REDUCE THE FOULING IN A SHELL AND TUBE HEAT EXCHANGER
 

Authors: M. Arunkumar, M. Kannan, G. Murali

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/859-861

 

ABSTRACT
In the contemporary era it is mandatory to use of shell and tube heat exchanger in the industrial and power plant applications. A deposit of fouling reduces the heat transfer in the heat exchangers. The current paper studies about used copper rings to reduce scale formation in the shell side of shell and tube heat exchangers. There are three different rings geometry were studied numerically to improve the heat transfer rate. CFD software was used for the numerical simulation. The simulated results shows that conical shape rings produces better heat transfer enhancement of 317.67K.

  EXPERIMENTAL STUDY ON STRENGTH PARAMETETERS WITH WATER-BINDER RATIO ON BINARY REPLACEMENT OF FINE AGGREGATES
 

Authors: M. Priyanka, N. Sakthieswaran

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/862-868

 

ABSTRACT
In this present scenario, we are in need to preserve our natural resources and to use the policy of 3Rs - Reuse, Recycle and Reduce the by-products or the non combustible resources out from various industries in various forms. In this study, the effect of water-cement ratio on binary replacement of fine aggregate is done by conducting the tests at a fresh state. The mix design conforming to IS 10262 – 2009 for M50 grade of concrete (1: 1.63:3.23). The water to binder ratio is altered within the range from 0.35 to 0.5 with an equal interval of 0.05. The materials used here are by-products (green sand), non combustible elements (bottom ash) replaced for fine aggregate in amounts of 10%, 15%, 20% and 25%. 7% of cement by weight is replaced with Silica fume for all the proportions of w/c and replacement of fine aggregate .Super plasticizer of 4% is added. The mortar and concrete is prepared and tested for its setting time and workability with slump cone test. The results showed that the combined effect of these materials of green sand and bottom ash reduces workability whereas the binder silica fume increases it. The setting time was increased by green sand. It is also observed that bottom ash after a certain amount of replacement for fine aggregate increases setting time.. The hardened tests on concrete at various ages of 7, 28 and 56days were studied. The compressive strength is 89.85 N/mm2 when 30% sand is replaced by 15% foundry sand and 15% bottom ash with the water/binder ratio 0.35. This is 25.88% greater than that of control concrete. The flexural Strength is obtained higher when fine aggregate is replaced by foundry sand and bottom ash is replaced for 50% and water to binder ratio of 0.35 and 40% replacement for sand at w/binder ratio of 0.4%. The tensile strength of concrete is observed greater when 30% to 40% fine aggregate is replaced with foundry sand and bottom ash w/b ratio 0.45 to 0.5%.

  MODEL PREDICTIVE CONTROL LAW OF SEPIC CONVERTER
 

Authors: P. Annapandi, S.Selvaperumal

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/869-873

 

ABSTRACT
The primary objective of the paper is to control the stability and improve the performance of the SEPIC converter based on piecewise affine modeling. Model predictive controller is used to control the duty cycle of the converter. This allows a systematic controller design that achieves the regulation of he output voltage to its reference despite input voltage and output load variations, while satisfying the constraints on the duty cycle and the inductor current. A kalman filter is added to the account for unmeasured load variations to achieve zero steady-state output voltage error.

  A NOVEL CONTROL SCHEME FOR THE MANAGEMENT OF OUTPUT VOLTAGE REGULATION WITH IMPROVED POWER QUALITY OF A MODULAR MULTI LEVEL INVERTER WITH FUZZY LOGIC CONTROL SYSTEM
 

Authors: A. V. Antony Albert , Dr. V. Rajasekaran

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/874-879

 

ABSTRACT
Modular Multi Level Converters (MMC) are used for high voltage high power DC to AC conversion. The MMCs with increased number of levels offer close to sine wave operation with reduced THD on the AC side. In this paper a novel voltage control scheme for the regulation of the output voltage of a nine level MMC using Fuzzy Logic Control is discussed. The performance of the FLC in the face of load side and source side disturbances are studied and compared against the recorded performance of a PI controller in a similar situation. The real power pumping into the grid is forced to be at unity power factor with increased power quality ensured by the FLC managed average current mode control scheme The FLC based voltage regulation with unity power factor on the source side with sinusoidal source current as applied to a Nine Level MMC was simulated using MATLAB / SIMULINK.

  ANALYSIS AND OPTIMIZATION OF PLATE-FIN HEAT EXCHANGER USING COMPUTATIONAL FLUID DYNAMICS AND RESPONSE SURFACE METHODOLOGY
 

Authors:R. Pachaiyappan, S. Gopalakannan

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/880-886

 

ABSTRACT
The scope of this paper is to find the optimal values of design constrains in a Plate-fin heat exchanger. The design constraints chosen for optimization were Reynolds number, core length, fin height and core area. Computational Fluid Dynamics (CFD) (fluent) was used for analysis and Response Surface Method (RSM) has been fixed for Optimization. The results from CFD analysis have feed into RSM. A research on augmenting heat transfer rate in heat exchanger has been increasing. By fixing Nusselt number (maximum heat transfer) and friction factor (minimum pressure drop) as performance factors in RSM, optimization has done. Chosen design constraints were fixed as factors. Design expert 7.0 software used for proceeding RSM. The optimal values from optimization have found as Reynolds number 1600, Core length 1.24 m, Fin height and Core area 0.04 m2.

   
   
   
   
  AN EFFICIENT ADVANCED HIERARCHICAL ATTRIBUTE BASED SCHEME WITH ASYMMETRIC ENCRYPTION FOR PERSONAL HEALTH RECORDS IN CLOUD COMPUTING
 

Authors: T.B.Sivakumar, S.Geetha, Dr.M.AmuthaPrabhakar

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/892-895

 

ABSTRACT
Improving cloud computing technologies give a key factor for intelligent health care services. In recent years, innovations have led improve our needs as a services especially in medical field. Personal Health Records (PHR) system that meets the needs of patient to manage their health records in a centric model that stored at third parties including cloud service providers. PHR information could be taken out by third party servers and unauthorized parties. In this concern patients should make their information by more privacy to encrypt those before updating. Due to this issues and risks evolved under key management, user revocation, data access control, key escrow and data flexibility. To overcome this above issues propose a novel approach in data access control for PHRs that stored in third party servers by using asymmetric cryptographic techniques and Advanced Attribute based Encryption(AABE). This technique that enforces to manage multi data owner scheme. Our system that enables access those data policies dynamically and also overcomes those previous issues it improves security, efficiency and performance of whole system.

  A FUZZY CLUSTERING APPROACH BASED ON MULTI-LAYER EXTREME LEARNING MACHINE FOR BRAIN TUMOR DETECTION AND CLASSIFICATION
 

Authors:M.Deepa, M.Rajalakshmi

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/896-902

 

ABSTRACT
Image processing has grown into a crucial aspect in fields of biomedical research and clinical practice. The decisive objective of brain tumor imaging study is to abstract the patient related important clinical statistics and their analytical features. The identified quantitative measure of exact tumor area helps the physician/radiologist to treat the patients. In medical image processing the foremost step is image acquisition that is done using MRI scan. MRI scan gives very detailed pictures and it is the best technique when it comes to finding tumors in the brain, including if or how much it may be spread into nearby brain tissue. Magnetic resonance imaging classification is a stimulating function mainly due to the variance and complexity in tumor detection. Hence, feature extraction by possibilistic fuzzy C Means clustering and classification using Multilayer Extreme Learning Machine (ML-ELM) is proposed in this work. Also feature sub selection is done with Random Projection. Extreme learning machines perform better than deep neural network classifiers in classifying the dataset as tumorous or not. The comparison between the algorithms proves that the proposed method has higher accuracy, sensitivity and specificity than the other approaches. The proposed approaches are applied for real time datasets and benchmark datasets taken from dataset repositories..

  A REVIEW ON PRE PARTITIONING CONNECTIVITY MANAGEMENT ALGORITHMS IN WIRELESS ADHOC NETWORK
 

Authors:G. Sugitha and A. Albert Raj

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/903-904

 

ABSTRACT
Maintaining connectivity is the fundamental problem in wireless adhoc networks. Due to the self organizing nature of the network there exist critical nodes in the network. Detecting critical nodes is important for many applications. To deal this issue several algorithms were proposed. Some algorithms allow partitioning and then make steps to reconnect the network. Some algorithms make steps to avoid partitioning. This paper surveys the existing pre partitioning critical node management algorithms in mobile adhoc networks and investigates opportunities for future research.

  DESIGN AND FABRICATION OF PASSIVE SOLAR DESALINATION SYSTEM WITH CALCIUM CHLORIDE HEXA HYDRATE AND LAURIC ACID
 

Authors:C. Nithyanandam,G. Baskar, R. Umamaheswari

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/905-909

 

ABSTRACT
The paper presents the effect of Calcium chloride hexa hydrate and lauric acid on heat transfer coefficient for a passive single-slope distillation system in summer climatic condition. The experiments have been conducted on a south facing, single slope, solar still of 10° inclination of condensing cover, in summer climatic condition for 24 h on different days on the month of April-May 2016 .Different material in different mass are used in the basin to improve the heat capacity, radiation absorption capacity and enhance the evaporation rate. The heat transfer loss and the thermal efficiency are calculated for the different mass of these materials and finally compare with the conventional solar still. 100ml of Calcium chloride is the best basin material to improve the absorption, storage and evaporation rate since its shows the maximum efficiency of 64.88% when compare to the other material..

 

A NOVEL ENERGY EFFICIENT TRANSITION ALGORITHM WITH SECURE DATA AGGREGATION FOR WIRELESS SENSOR NETWORK

 

Authors:A. Latha, S. Jayashri

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/910-916

 

ABSTRACT
Wireless sensor network enhancements are trifling exclusive of security and energy efficiency. The integrated approach results encountering vulnerabilities for secure aggregation and energy optimizations. This paper aims to widen up an amalgamated work of secure data aggregation and energy efficiency. Though assorted secure routing and aggregation schemes have been proposed for the integrated approach, they lack in efficient node selection or aggregation in the later half drain state of a node, resulting in surge of replicated node utilization and injection of vulnerabilities at the weaker transition level. To address the lag in later transition level of a node, a cycle based state transition and node selection with Elliptic Curve Cryptographic based hash for securing transmitting data, Energy Efficient Transition Algorithm (EETA) with Secure Data Aggregation (SDA) is proposed. The joint process of EETA-SDA selects Aggregator Node (AN) based on transmit energy for first half transition level and relies on Residual energy for the later energy drain state. Data transmission is secured with integrity, removing barriers of threshold in data dissemination, allowing availability of data for an extended time. The former part of the proposed method governs the energy efficiency of a network through alternate cycles of intermediate and AN selection process that is updated in an acclimatized transition state accomplishment that is energy dependent. The change in transition selection condition follows the unchanged security method directed in both aggregation and security throughout the lifetime of the network.

 

EXPERIMENTAL PERFORMANCE AND EMISSION ANALYSIS OF BIODIESEL OPERATED CI ENGINE AT VARIOUS INJECTION PRESSURE

 

Authors:B. Vinoth, Dr.S. Sundarapandian

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/917-920

 

ABSTRACT
Diesel engines dominate the field of commercial transportation and agricultural machinery on account of its superior fuel efficiency. Cost and limited reserves of conventional fossil fuels have intensified the search for alternative fuels for use in internal combustion engines. A possible alternative engine fuel is vegetable oil because it is clean burning, renewable, non-toxic, biodegradable and environmentally friendly transportation fuel. It can be used in neat form without any modification of the engine. They can be produced from the plants grown in rural areas. Vegetable oils are produced from crops such as soybean, peanut, sunflower, cotton, jatropha, mahua, neem, coconut, linseed, mustard, karanja, rape and castor. However they causes, serious problems such as carbon deposits buildup, poor durability, high density, high viscosity, lower calorific value, more molecular weight and poor combustion. These problems can be rectified by transesterification process. In this investigation the engine performance in a C.I engine using three vegetable oil esters like Jatropha, Mahua, and Neem oils for various injection pressure and compared with diesel. The experimental work is carried out in a single cylinder computerized diesel engine test rig, which develops 5.2 kW at 1500 rpm and loaded by eddy current dynamometer at various engine pressure conditions. From the experimental results, it is found that the heat release and work done are reduced by about 4% for jatropha, 5% for mahua and 8% for neem oil esters compared to diesel. However, a slight increase is observed for specific fuel consumption. The harmful pollutants such as HC, CO, NOX and smoke are reduced in the vegetable oil esters compared to that of diesel fuel. From the investigation, it is also concluded that in terms of performance characteristics and emission levels, vegetable oil esters can be regarded as the best substitute for diesel fuel.

 

DESCRIPTION AND CAUSE OF SURFACE IGNITION USING ETHANOL IN A SINGLE CYLINDER 4-STROKE LHR WITH DIESEL FUEL COMBINE IN COMPRESSION IGNITION ENGINE

 

Authors:P.Balu*, Dr.M.Kannan, Dr. R.Rajappan

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/921-924

 

ABSTRACT
It is obvious from the rising fame of light-duty diesel engines that alternative fuels, such as alcohols, must be applied to diesel combustion if each one is to contribute notably as replace with for petroleum-based fuels. Surface ignition engine was tested as ethanol in a LHR engine and its performance, emission and combustion characteristics were analyzed and compared to conventional diesel engine process. It is experimental that the engine may possibly operate with 100% Ethanol and can be used as fuel in diesel engines. Ethanol shows evidence of higher thermal efficiency upto 60% of the complete load and the exhaust gas temperature was higher at all loads an evaluate to diesel engine operation. This took importance in the rouse that ethanol can be obtained from non-fossil assets.

 

AUTOMATION OF SUBMERSIBLE PUMPS AND DESIGN USING THEORY OF INNOVATION AND PROBLEM SOLVING (TRIZ ) TECHNOLOGY

 

Authors:M. Babu Prasad , Dr.M. Sudha

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/925-927

 

ABSTRACT
TRIZ is the method for Innovation and Problem Solving Technology. We can apply this method for an innovation design of submersible pump set which is used for series parallel operation. This is used especially for irrigation, flood removing and rescuing operations. Submersible pumps can be used as parallel or series combination according to the requirement for varying the head and discharge. Submersible pump is used for lifting water in bore wells where it is hard to remove or reinstall the pumps in underground after it is installed. This can be done by applying various innovation methods..

 

OPTIMIZATION OF TRIBOLOGICAL AND MACHINING PARAMETERS FOR LM24/SILICATE/ FLY ASH HYBRID COMPOSITE

 

Authors:BR. Senthil Kumar, M.Thiagarajan & K.Chandrasekaran

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/928-932

 

ABSTRACT
The LM24/Silicate/ Fly ash hybrid composite was prepared with 4 wt. % Fly ash particles with 8, 16, 24 wt. % of silicate using vortex technique. Tribological properties were evaluated under different load (15, 45, 60 N); sliding velocity (0.75, 1.5, 3 m/sec) condition using pin on disc apparatus and mechanical properties like hardness, tensile strength of composites were investigated. Silicate particles with fly ash materials were incorporated into aluminium alloy matrix to accomplish reduction in wear resistance and improve the mechanical properties. Optimized Tribological and machining parameters are very important for controlling the required surface quality and minimum wear rate. In addition optimization Tribological and machining parameters of the aluminum hybrid composite was studied using Taguchi L9 orthogonal array. Analysis of variance (ANOVA) was used for identifying the significant parameters affecting the wear rate in Tribological studies and surface roughness in drilling operation.

 

MENTAL STRESS LEVEL MEASUREMENT USING HRV ANALYSIS AND KNN CLASSIFIER WITH EFFICIENT VOTING SCHEME

 

Authors: L. Vanitha, Dr. G.R. Suresh, Dr. M. Chandrasekar, Dr. P. Punita

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/933-936

 

ABSTRACT
Stress is rooted in our life, being stressed by our family circumstances, financial concerns, our job, etc. Stress leads to physical disorders, such as heart attacks and chronic headaches or psychological diseases like mental illness, anger, anxiety, and depression. The most reliable and efficient time and frequency domain parameters obtained from Heart Rate Variability (HRV) determined from ECG signal is used to detect the stress level in this work. The features are given as input to the K- Nearest Neighbour (KNN) classifier which classifies the data into one of the four stress levels as no stress, low stress, medium stress and high stress. The KNN classifier combines the strength of adjacent neighbours to make decisions which improves the efficiency of classification. The Physionet database of drivers stress is used to check the validity of the proposed KNN classifier. Performance of the proposed combination scheme in KNN is better compared to the other combination scheme.

 

EXPERIMENTAL STUDY OF THERMAL CONDUCTIVITY OF POLYETHYLENE COPPER OXIDE NANOCOMPOSITE

 

Authors: CT.Muthiah and P.Marimuthu

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/937-941

 

ABSTRACT
The demand for new, thermally conducting light weight and anti-corrosive materials is tried by incorporating Copper Oxide (CuO) nano powder in polyethylene matrix material. A laboratory level electro deposition technique is adopted here to prepare Copper Oxide (CuO) nano particles. Their phase composition is confirmed with X-Ray diffraction peaks and verified with standard JCPDS file for Copper Oxide (CuO). The High Density Polyethylene (HDPE) grade is chosen and is mixed with Copper Oxide (CuO) at three different proportions (1 %, 2 % & 3 % of its weight) in a twin screw extruder by melt mixing method. Further by conducting Scanning Electron Microscopy on these samples indicate different weight % Copper Oxide (CuO) nano powder High density polyethylene sample shows better homogeneity and bonding between Copper Oxide (CuO) and polyethylene and also there is no pores seen on its surface. This also confirms the satisfactory formation of conducting nano filler network. The obtained thermal conductivity for 3 weight % Copper Oxide (CuO) nano powder High density polyethylene sample is 8 times greater than virgin sample which is due to reduction of phonon scattering by this conducting Copper Oxide (CuO) nano filler.

 

BEHAVIOUR - BASED PERSONALIZED RECOMMENDATION SYSTEM TO INSIGHT THE PERCEPTIONS ON NON- COMMUNICABLE DISEASES

 

Authors: M. Ambika, Dr. K. Latha

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/942-945

 

ABSTRACT
India is facing a rapid health transition with the rising prevalence of non-communicable diseases. Early analysis and detection will play vital roles in reducing the incidence of NCDs and its associated risk factors. Moreover the prevalence of these diseases is liable to increase due to demographic changes, changes in lifestyle and environment. This paper elaborates the feasibility of providing personalized recommendations for promoting healthy lifestyles. A healthcare system must ensure information quality, influences perceived usefulness and perceived usability, both mediated by the trust. Besides, researchers often measure information quality in terms of relevance, accuracy, timeliness, completeness, and consistency. This research work tries to enhance the information quality by analyzing the Personal Health Record to provide individual based personalized recommendation, prediction based on the behavior and disease, predicting the patterns that forecast the incidence of disease in human races. The proposed model learns from the personal health record using a supervised learning model for diagnosis and prediction. The need recommendation is provided for the individuals using the hybrid approach which combines demographic, behavior and collaborative filtering. This approach recommends lifestyle modification based on the behaviour of the individual user and enhance the health of our communities and the nation.

 

A MULTI-FEATURE FUSION BASED IMAGE RETRIEVAL AND SIMILARITY RE-RANKING OF VOLUME RENDERED MEDICAL STEREOSCOPIC IMAGES

 

Authors: K.A. Shaheer Abubacker, Dr.(Mrs). J. Sutha

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/946-954

 

ABSTRACT
Different kind of 3D medical imaging system have been developed and introduced in the medical field to improve the diagnosis accuracy. The Content-based image retrieval has been recognized as an essential method for computer-aided diagnosis. In this paper, we propose a multi-feature fusion based image retrieval framework designed to retrieve a volume rendered stereoscopic 3D medical images from the database based on the image features such as color, shape and homogeneous texture. The framework proposed in this paper is query based, the similar images are extracted from the database and re-ranked based on the degree of relevancy. The color feature are extracted using HSV histogram, auto color correlogram and Color moments whereas shape and texture features are extracted based on the Fourier descriptor and Weber Law Descriptor respectively. The distance between the query and database images is measure with the Mahalanobis distance measurement. The region based stereo matching scheme is adopted to obtain the disparity map. The disparity based re-ranking is adopted for refining retrieved results. The experiments are conducted in a diverse collections of 815 volume rendered stereoscopic 3D medical images of different modality and the performance of the retrieval system is measured based on the precision, recall and F1-score. The experimental results shows a promising performance improvement with the multi-feature fusion based image retrieval system.

 

SOFT COMPUTING TECHNIQUES FOR LADLE REFINING PROCESS IN STEEL MAKING

 

Authors: M.Pravin Kumar and Dr.S.Vijayachitra

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/955-958

 

ABSTRACT
This paper intends to model the ladle refining process using soft computing techniques for determining the amount of alloying components to produce the preferred steel grade with reduced computation error. As the proportions of alloy elements to be added during ladle refining process has uncertain nature, the subtractive clustering technique is implemented first to find out the optimal cluster centers and then the acquired optimal cluster centers are fed as input to the neural network method named Levenberg-Marquardt back-propagation algorithm to assess alloy proportions with reduced error. The outcomes imply that the projected work adroitly computes alloy proportions with minimized error rate. This method can be applied in the steel production industry to assist operators in manufacturing of steel.

 

MULTIPLE INPUT BIDIRECTIONAL DC-DC CONVERTER

 

Authors: Gomathi.S, Ragavendiran T.A. S

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/959-963

 

ABSTRACT
In this paper two batteries of different voltage level are interfaced and also the power is transferred in both the directions i.e., bidirectional power flow capability. By using more than one dc sources the system is supplied more power during peak demands and by using bidirectional converter the charging and discharging of batteries takes place.

 

ASSESSMENT OF ANTI-WINDUP PI CONTROLLED INDUCTION MOTOR DRIVE USING V/F METHOD

 

Authors: N.Balamurugan and S.Selvaperumal

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/964-968

 

ABSTRACT
Induction motors are widely used in domestic and industrial applications. The control method of induction motor decides the performance and efficiency of the drive. Comprehensive speed operation with proposed method is accomplished by volt/hertz (v/f) control technique. In this paper, various methods of Anti-windup PI controllers are proposed and analysed for control of an induction motor drive. The recital characteristics of the motor drive with the proposed scheme are determined for various operating conditions. The results attained are compared with existing system of speed control. Added feature in this system is Photovoltaic power system acts as a source.

 

NOVEL MATHEMATICAL MODEL FOR A REDUCED SUPPLY CHAIN NETWORK AND EFFICIENT DISTRIBUTION OF FMCG PRODUCT

 

Authors: S. Karthick and A. Naveen Sait

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/969-973

 

ABSTRACT
A supply chain can be defined as a network of autonomous or semi-autonomous business entities collectively responsible for procurement, manufacturing, and distribution activities associated with one or more families of related products. Two stages of supply chain network; distribution centers (DCs) and customers, are considered for the present study. The ongoing SCN network is about the interactions of manufacturer, logistics, wholesale distributer, retailer, supplier and customer, in which customer cost will be more because of the virtual suppliers. The mathematical model was developed to reduce the customer cost and it has been compared with existing model. In the proposed model, the network is reduced so as to minimize the customer cost and also on time delivery of FMCG product is ensured with the help of latest communication technology. This paper is to investigate through the use of industrial case study to analyze the cost and to reduce by accurate view of supply chain.

 

PERFORMANCE ANALYSIS OF CYCLIC CODED SPACE TIME BLOCK CODING WITH OFDM FOR MIMO SYSTEM

 

Authors: Dr.P. Ramesh Kumar, Dr.B.Sujatha

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/974-979

 

ABSTRACT
The performances of multiple input multiple output system were analyzed here using cyclic coded space time block coding with OFDM. Cyclic codes with STBC and OFDM performs well when the number of transmitting and receiving antennas increased. Here the channel fading was assumed to be Rayleigh fading and modulation methods were M-ary modulation. 16-QPSK and 16-QAM ect. It was also assumed that there is no channel state information available at the transmitter. From the simulations it is known that the SNR in the range 4 dB to 20 dB can be obtained for the corresponding values of BER in the range 10-2 to 10-6 . The coding gain and diversity gain were also improved for the change in the cyclic code rate from 1/2 and 1/3. The general Alamouti scheme with receiver combining algorithm gives similar performance as the STBC with Maximum likelihood decoding. .

 

EXPERIMENTAL ANALYSIS OF TWO 6kW AND ONE 5kW GRID CONNECTED PHOTOVOLTAIC MODULES IN SOUTH INDIA

 

Authors: A. Raguram and L. Ashok Kumar

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/974-979

 

ABSTRACT
In Current scenario, solar energy is abundant at tropical regions of South India. So it is necessary to investigate the performance of different types of PV technology under different weather conditions. This paper presents actual field data of three different PV system installed at three different regions namely Coimbatore, Chennai and Bangalore. The data collected for 12 months and the performances of the PV systems is analyzed based on energy yield and power generation with respect to solar irradiation. The capacity of PV system installed in Coimbatore, Chennai and Bangalore is 6kW, 6kW and 5kW respectively. Energy yield and Power generation are varies with factors like location, module reliability, module temperature, ambient temperature, module efficiency. The PV panels in all three regions are oriented towards south direction. The purpose of this paper is to identify the best PV panel and to know which region is best in power generation. The three types of PV system are studied and their energy yields are ranging from 2.825 to 4.598 kWh/kWp and their power generation is ranging from 0.7472 kW to 1.232 kW. From this analysis we can say that the power generation in Coimbatore is better when compared with Chennai and Bangalore. This paper analyses the performance variation of grid connected photovoltaic systems in different locations around South India and it was funded by AICTE-RPS..

 

OPTIMIZED SCHEDULING USING MULTI AGENT BASED GENETIC ALGORITHM FOR HYBRID CLOUD

 

Authors: A.Kanmani*, Dr.(Mrs)R.Sukanesh

 

IJAET/ Volume VII/ Issue I/ Jan.-March'2016/980-983

 

ABSTRACT
Cloud computing trusts on resource sharing and distribution of on-demand services through remote access. The reimbursements of cloud has its impact in the business and educational institutions. The rural folk can cherish quality education at affordable cost with the hybrid cloud set up. A hybrid educational cloud frame work is proposed for rural educational institution. A software renting service to the rural education contented the end users with the Quality-of-Service. The QoS of hybrid cloud is preserved by predicting the workload pertaining the cloud. The proposed work creates a hybrid cloud set up with automated resource management. The lower level load metrics are used to determine workload of the cloud. The scheduler calculates the current load status of the machine. A genetic algorithm based decision engine ultilizes the current load status and makes optimized decision. The optimized decision safeguards the SLA and ensures high quality in the hybrid cloud set up. CloudSim renders the cloud infrastructure for experimenting and simulating the results.