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    EDITORIAL BOARD


    Pak. J. Biotechnol. Vol. 13 (special issue) 2016

    Published Paper of

    3rd International Conference on Innovations in information Embedded and Communication Systems (ICIIECS’16) held on March 17-18, 2016, Coimbatore, Tamil Nadu, India

    Articles reviewed and Plagiarism checked under the supervision of

    Guest Editor, Pak. J. Biotechnol.

    and

    Organizing Secretary of conference

    Dr. B. Nagaraj

    M.E,Ph.D,MIEEE

    COORDINATED CONTROL OF DFIG SYSTEM DURING UNBALANCED GRID VOLTAGE CONDITIONS USING REDUCED ORDER GENERALIZED INTEGRATORS

    By Sudhanandhi, K.1 and Bharath S2

    Abstract

    This paper presents combined control of rotor-side converter (RSC) and grid-side converter (GSC) of a DFIG system during unbalanced grid voltage conditions. Here RSC is controlled to minimize the torque ripples and GSC is controlled to ensure total balanced currents and constant active and reactive power into grid by reducing ripples which are caused due to unbalance. A ROGI is used to reduce the above problems.

    SIMULATION AND ANALYSIS OF SEPIC BASED MICRO-WIND ENERGY CONVERSION SYSTEM

    By J. Brintha Jane Justin1, K.Pavithra2 and S.Rama Reddy3

    Abstract

    This paper deals with the Simulation and Analysis of micro-wind energy conversion system based on the permanent magnet synchronous generator (PMSG) connected to a voltage source inverter through an uncontrolled rectifier and a SEPIC (Single Ended Primary Inductor Converter). Various control strategies like PI and PID has been used for closed loop control for SEPIC based Micro-Wind Energy conversion System. To evaluate the performance of SEPIC ,the parameters such as rise time, settling time and peak overshoot voltage are considered. The generated micro-wind power can be extracted under varying wind speed and constant output is supplied to the load using controllers i.e.; PI and PID controllers . The system reduces the burden on the conventional source and utilizes micro Wind Energy Conversion System (µWECS). The system is simulated in MATLAB/SIMULINK and results are presented.

    A FAST AND EFFICIENT LIFTING BASED DCT IMAGE COMPRESSION

    By Karthikeyan N., Venkatesh V. and 1Sivakumar N

    Abstract

    Image compression resolves the problem of reducing the amount of data needed to represent an image without degrading the quality of the image and reduces the required time to be sent over the internet. In this research paper, a fast and Efficient Lifting based DCT image compression is described. It refers lifting filter, zigzag scanner and Huffman coder. Hence, this scheme consumes reduced memory when compared with other entropy coders such as JPEG Huffman and Arithmetic coder. Lifting based DCT compression achieves good compression ratio with low computation time than the other encoders. The experimental part deals with the results of this research work. The performance of this scheme is measured in terms of Mean square Error and Standard Peak Signal to Noise Ratio.

    MODELING OF TEMPERATURE PROCESS SYSTEM AND ITS PERFORMANCE ANALYSIS USING VARIOUS CONTROL STRATEGIES

    By P. Poongodi1 and R.Madhu Sudhanan2

    Abstract

    A Continuous Stirred Tank Reactor (CSTR) is a highly non linear process particularly when chemical reaction takes place. The heat energy will be either liberate or absorbed by the reactor due to the reaction. The control of temperature for this process is a real challenge due to non linear temperature changes during reaction. This paper compares the performances of the Proportional Integral Derivative Controller (PID) controller, Neural Network Predictive Controller (NNPC) and Non Liner Auto Regressive Moving Average (NARMA) controller. A novel NARMA based PID controller is proposed. The mathematical model of CSTR is obtained and the state space model is derived. The various controllers have been designed and performances were compared for the CSTR process. The proposed NARMA based PID controller shows better control of temperature than the other controllers like PID, NARMA and NNPC.

    REAL TIME IMPLEMENTATION OF PID CONTROLLER FOR SWITCHED RELUCTANCE MOTOR

    By Sridharan, S.1 and Sudha,S.2

    Abstract

    Many control methodologies have been introduced by so many researchers and eminent industrial engineers ranging from simple controller to P, PI, PID and much more. An effective control methodology is proposed to have seamless Speed Control of this motor using PID controllers. A reliable proposal has found effective using PID. Lucid study has made using EMC interface with appropriate switching circuits with inbuilt isolation. A simulation modeling using MATLAB has been evaluated on realtime application motors. The results on various parameter are plotted for analysis.

    DESIGN OF STREET LIGHT MONITORING AND CONTROL SYSTEM BASED ON IoT

    By D.Maheswari1,J.Raja Sekar2 and S.Santhi3

    Abstract

    The main objective of this paper is to form an intelligent street lighting system. In early days, the street lights are controlled manually. Avoid the manpower we have to introduce this easy technique. The newly proposed system offer higher efficiency and considerable savings in power by using LED lights. So there was much more power consumptions. Now a day, street light monitoring system is an essential factor. So we need to design and implement solar based street lighting system for low power usage. In each lamp are connected together and controlled by nearby base station. The street lamp contains several modules like LDR Sensor, PIR Sensor and Relay, which are work together and transfer information to the base station via NRF modules. Here the LDR sensor used to capture the day/Night lighting value. And the PIR sensor used to sense the human/vehicle presence on particular range. Based on those techniques the system controls the street lights. Through the communication networks the base station takes a corresponding action.

    FUZZY CONTROLLER FOR V/F CONTROL OF INDUCTION MACHINE

    By S Manoj Krishna, Avinash R K & Rahul Vijayakumar and 2Sampath Kumar S

    Abstract

    This paper deals with the variable frequency drive in order to control the speed of an induction machine. When compared to the various methods of speed control for induction machine, voltage by frequency control has proven to be the most adaptable. Due to its rugged nature, wide range of speed control and low maintenance, induction machines are mostly desired in industries. Recent research and development in power electronics has led to fast developments in the speed control of an induction machines area. Here the fuzzy logic technique is proposed for controlling the speed of the induction machine. A closed-loop V/f control scheme with a fuzzy logic controller gives better speed control of an induction machine. This technique is suitable for its adaptive changes in the variable load conditions. The result of the proposed fuzzy logic method is compared with conventional Ziegler-Nichols control method. The control strategy comprises of induction motor, fuzzy logic controller, inverter, filter, pulse width modulated (PWM) generator and load. The above scheme has been simulated in Matlab/Simulink ® for verifying the results.

    IDENTIFICATION OF PRECISE OBJECT AMONG VARIOUS OBJECTS USING SPARSE CODING - A REVIEW

    By Giby Jose* and P. Manimegalai

    Abstract

    In this specific work, Sparse Representation-Based Classification (SRC) can be extended intended for object identification. Proposed system consists of three main stages, sparse dictionary design, feature extraction and object detection. Initially a sparse dictionary will likely be designed along with large variety of different training images. It images incorporate various items including target image. Intended for feature extraction, if sparsity inside the recognition issue is correctly harnessed, the choice of features is not a critical issue. However the leading problem can be whether the volume of features can be sufficiently substantial and whether the sparse representation is the right way computed. Unconventional features such as down sampled images along with random projections perform equally well as typical features such as Eigen faces and Laplacian faces, as long because dimension in the feature place surpasses certain threshold, predicted from the theory of sparse representation in face recognition. Here down sampling process inside the images will likely be done. In assessment process the sparse dictionary typically determines the object among the other items. Extensive experiments will likely be conducted to help verify the efficacy in the proposed criteria, and corroborate the above mentioned claims.

    DESIGN AND VERIFICATION OF A 4-BIT ERROR CORRECTING DECODER USING BCH CODING TECHNIQUE

    By R.Vasanth* and V.Balamurugan

    Abstract

    The scope of this paper deals with the design of a high-speed BCH decoder that corrects single-bit errors in parallel manner and double, double adjacent, triple and four bit errors in in serial manner. The proposed decoder is capable of detecting, locating and correcting single bit to four bit errors that occur in the high speed memory operations and data transmission. If we consider the case of the Nano-scale memory system the probability of occurrence of the multi bit errors is high, in such case the proposed decoder is capable enough to correct the error at the faster rate. In the existing system only the single and double errors are detected and corrected ,whereas in the proposed scheme single to four bit errors are detected ,located and corrected using BCH coding technique. In the evolution of the high speed digital communication there is high chance for occurrence of the data message to get corrupted during transmission and reception via noisy channels, hence for the error free communication error correcting codes are required, one such efficient coding is the BCH code which has well defined mathematical properties .The encoder and decoder is designed to detect and correct single to four bit errors using VHDL and simulation is performed using Xilinx ISE 14.3.

    A NEW MODIFIED ARTIFICIAL NEURAL NETWORK BASED MPPT CONTROLLER FOR THE IMPROVED PERFORMANCE OF AN ASYNCHRONOUS MOTOR DRIVE

    By 1B. Pakkiraiah and 2G. Durga Sukumar

    Abstract

    Solar energy is an important alternative out of the various renewable energy sources. On an average the sunshine hour in India is about 6hrs per day also the sun shines in India is about 9 months in a year. To generate electricity from the sun, the solar photovoltaic (SPV) modules are used. The SPV comes in various power outputs to meet the load requirements. Maximization of power from a solar photo voltaic module is a special case to increase the efficiency of the PV system. The artificial neural network (ANN) based maximum power point tracking (MPPT) controller is used to track the maximum power. DC-DC boost converter and space vector modulation based inverter are used to provide the required supply to the load. The proposed ANN based MPPT improves the system efficiency even at abnormal weather conditions. Here a lot of improvement in torque and current ripple contents is obtained with the help of ANN based MPPT for an asynchronous motor drive. Also the better performance of an asynchronous motor drive is analyzed with the comparison of conventional and proposed MPPT controller using Matlab-simulation results. Practical validations are also carried out and tabulated.

    A REVIEW ON CLOUD COMPUTING TECHNOLOGIES AND SECURITY ISSUES

    By Padmaja, K. and R. Seshadri

    Abstract

    Over the past two decades, the world economy has chopped-chop from manufacturing to a more service-oriented. Cloud computing profits the service industry well-nigh and elevates business computing with a new paradigm. Cloud computing is a distributed architecture that centralizes resources on a climbable platform so as to provide on demand computing capabilities and resources such as networks, servers, storage and applications with less management effort or provider’s interaction. In spite of the fact that there are many advantages to adopt cloud computing, there exists some critical barriers to adoption. The most important obstruction to adoption is security, trailed by privacy issues and legal matters. This paper gives an overview and study of cloud computing, technologies, deployment models and security issues that are present in the cloud computing industry.

    MULTIPLET SLOT MICROSTRIP PATCH ANTENNA WITH SHORTING PIN CONFIGURATION FOR WIMAX APPLICATIONS

    By 1Kannagi, V., 2A. Jawahar and 3K.Dhivya, Assistant

    Abstract

    In this paper, a low profile, less weight and low cost microstrip patch antenna with frequency agility is used to achieve broad bandwidth with high radiation efficiency which is the basic requirement of today’s wireless application. This is achieved by cutting six symmetrical slots of unequal sizes in the rectangular patch to increase the current intensity which in turn increases the bandwidth and efficiency. The trade off between antenna size and bandwidth is compensated by introducing a shorting pin at the center line of the patch. The result is simulated using HFSS software in the middle band of WiMAX and the antenna is found to be resonating at 3.7GHz. The observed bandwidth is 51.98 percent with a return loss of -16.94dB.

    ANALYSIS OF WIND SPEED DISTRIBUTIONS FOR WIND ENERGY POTENTIAL

    By T.Archana1, P.Sathishkumar2, V. Rajendran3 and S.Jerritta4

    Abstract

    Wind Energy, i.e., the renewable source of electrical energy produced uses the wind resource connected to an electrical system. It is necessary to accurately estimate the wind potential to harvest the wind power. The objective of this study is to describe the probability density function of various distributions that provides better model for the wind speed characteristics. The distributions used are Weibull, Gamma, Extreme Value, Lognormal, Rayleigh, Generalized Extreme Value distribution. At the end conclusion are drawn considering the best-fit and the statistical error prediction of the Wind Assessment data.

    DEPARTMENT – STUDENT LIBRARY USING TWIG PATTERN QUERY PROCESSING OVER ADMIN-USER LOGIN PRIVILEGE

    By 1ALBERT MAYAN J., 2SURYA, B., 3PRANOY PRABHAKAR, 4PRINCE KUMAR

    Abstract

    An xml twig pattern query processing library, an energy and latency efficient XML dissemination scheme for the system. Wireless broadcasting is an effective information dissemination approach in the wireless environment because of the following benefits. The server can support a massive number of clients without additional costs. The broadcast channel is shared by many clients and the clients can receive data without sending request messages that consumes energy. In Wireless XML broadcasting, the broadcast server retrieves XML data to be disseminated from the repository. An XML stream is organized to enable a selective access scheme for simple XPath queries, by borrowing the path summary technique, which was originally devised for indexing semi-structured data. Using Lineage Encoding, to support evaluation of predicates and twig pattern queries over the stream.

    SPLIT RECTANGULAR STRUCTURED DIFFERENTIAL BAND PASS FILTER WITH GOOD COMMON MODE SUPPRESSION

    By J.Megala1, H.Umma Habiba2, C.Aarthi3, P.Archana3 and S.Asmath Jabin3

    Abstract

    A Differential Band Pass Filter (DBPF) with improved common mode suppression is focused in this paper. A Cross shaped resonator (CSR) with loaded coupled structure and capacitive termination is designed along with the split rectangular structure (SRS). This loaded lump capacitor offers an improved bandwidth. The SRR offers better Common Mode (CM) suppression. The length and Width of the Micro strip lines are adjusted to produce a widened Stop band under the CM operation. This DBPF centered at 3.5GHz and the suppression is better than -20 dB. The CSR is attributed by differential mode (DM) transmission poles (TP) and DM transmission zeroes (TZ).The loaded structure has DM and CM TZs, with these CM TZs the suppression is better. The main purpose of this design is to improve the bandwidth. The Fractional Bandwidth (FBW) of about 3 dB is achieved for the range of about 2 to 5 GHz. The proposed design results are similar to theoretical and simulated results.

    DEFENSIVE WRIST BAND USING RASPERRY PI

    By Santhosh Krishna.B.V. 1 , Akshyalakshmi, A.M. 2 , Megaraj Begam, N. 3 , Janani, N.

    Abstract

    In day to day life women and children abusement are increasing and in most of the cases offender will get escape due to lack of evidences, In order to overcome this situation our project is proposed which is initiated by human action. In this the victim can send panic and alert message and also collect evidences in the form of images. Itisalsogivenwithanoptionofswitch button,falldetector and pulse detector toactivate thesystem.Thearmband would haveacontrollerwith GSM/GPSkit wireless camerainterfaced.Thiswirelesscamera is usedforcollecting images.Ahumanactionwouldinitiate thesystem.Oninitiation, thevideocollectedis livevideostreamedto theControlroom.An alertmessagealong withthelocation issenttoapredefined MobileStationuntilthesystem isreset.Sincechangein LongitudeandLatitudeissentcontinuously, thepersoncanbe tracked.Thesystemisdesignedalsotobe usedasanalert system duringmedicalemergency.

    A MODEL SYSTEM FOR EFFECTIVE CLASSIFICATION OF SOFTWARE REUSABLE COMPONENTS

    By Ramu Vankudothu1 and P.Shireesha2

    Abstract

    Much of the research and development in Component retrieval is aimed at improving the effectiveness and efficiency of retrieval. Effective software component retrieval from a repository is the aim of the ongoing research. In software component repository thousand of components are stored using various classification techniques. Software components have certain attributes associated with them, and each attribute has relative importance for that component, which is called as weights. Retrieving the components considering these features becomes more difficult and time consuming. The focus is to select the best component from a repository that can be reused. In the proposed system a component repository is developed and best components are retrieved in a two step process. The first step gives all the relevant components, and the second step gives the best component to the user. The first technique used is simple keyword based retrieval and second technique is genetic algorithm. Genetic algorithms give satisfactory results for those components which have attributes and weights. The genetic algorithms based technique is very effective when the repository size is very large. This paper presents classification and retrieval of software reusable components by using a classification and also the selection of best component. The selection of best component or optimal section from retrieved components is much more difficult than simple retrieval. Finally experiments demonstrate results for displaying most relevant software reusable components.

    MODELLING AND CONTROL DESIGN OF THREE PHASE-FOUR WIRE UPQC FOR POWER QUALITY IMPROVEMENT

    By Iswarya R1 and Jayashree S2

    Abstract

    Unified power quality conditioner is the combination of series active power filter and shunt active power filter. The purpose of series Active power filter is to compensate source side distortions. Purpose of using shunt active power filter is to compensate load side distortions. The neutral current flow is considered to be major distortion in distribution system.Inorder to harmony the load current and neutral current flow, three phase four wire distribution is used. Fourth leg is used in the shunt part of the inverter for neutral flow current. Unbalance is considered to be serious issue in transmission and distribution system. By using UPQC above problem can be overcome. Hysteresis controller is mainly used to control the gating pulses of the inverter. The simulation results based on MATLAB/Simulink are presented to show the effectiveness of the balanced load current in three phase four wire distribution.

    A NOVAL APPROACH IN SMART STREET LIGHTING CONTROL SYSTEM

    By N.Gayathri and C.Akila

    Abstract

    The innovation in smart lighting technology acts as new intelligence to the current network system. Through this automation, the system is not only going to get integrated but also turns into communicable all over the country. The whole system will be monitored by the hub and the usage, malfunction intimation is given to the servers through SMS and mail. Hence it’s time for the consumers and also the suppliers to behave smart or else they will become eventually receiving, highly billed statements. This paper extends an idea of having a power hub which has regulated over all lighting system individually. The hub detects the intensity, position control and decrease the load usage by turning off unwanted loads with a priority that is set by the controller. The power hub can also monitor the energy usage and creates an order of significance among the loads, thus providing intelligence to the current grid system. This paper also enable utilities to integrate, interface with smart governing system and intelligently control the lighting and also detect the malware functioning which enable communication between street lights and servers to provide professional services in affordable way-machine to machine communication

    A META HEURISTICALGORITHM FOR OPTIMAL DATA STORAGE POSITION IN WIRELESS SENSOR NETWORKS

    By R. Mohanasundaram1 and P. S. Periasamy2

    Abstract

    Micro-Electro-Mechanical System (MEMS) is a wireless networking technique in which the background data is monitored and collected using wireless sensor networks. An additional requirement in this technique is to store the data for future retrieval and analysis purpose. This makes data storage become a more fascinating issue in wireless sensor networks. In data storage approach using storage node in the network is to choose suitable positions for storage a node becomes an essential problem. In this paper the above mentioned problem is addressed in wireless sensor network without any of the topology assumptions. Firstly, modeled the problem about data storage positions in theoretical manner and the non efficient heuristic algorithm called Particle Swarm Optimization is proposed to find the suitable positions for k storage nodes while the total energy cost of data transmission is minimized. The algorithm is implemented in a wireless sensor network simulator. The results of the experiments show the feasibility and efficiency of the proposed heuristic algorithm.

    DESIGN AND SIMULATION OF HYBRID SYSTEM FED MULTIPLE INPUT SINGLE OUTPUT CUK DC-DC CONVERTER

    By Anto jude rajeshkumar M. and Sripriya,R.

    Abstract

    This thesis entails the design of a multiple-input CUK dc-dc converter. The converter will be used to interface multiple power sources such as those obtained from renewable energy sources.This paperpresents a new system configuration which allows thetwo sources to supply the load separately or simultaneously depending on the availability of theenergy sources. The inherent nature of this Cukconverter is that the additional input filters are not necessary tofilter out high frequency harmonics. Harmonic contentis detrimental for the generator lifespan, heating issues,and efficiency. Results from the theoretical calculation and simulation are presented in the report which demonstrates the functionality and performance of the proposed converter

    NOVEL FIR ADAPTIVE FILTER STRUCTURES FOR RADAR APPLICATIONS

    By Lavanya, M. and Kalaiselvi, A.

    Abstract

    This paper presents the implementation of CORDIC( Coordinate Rotation Digital Computer) incorporated KA 3- way structures for adaptive filters. FIR Adaptive filter is used in RADAR to get the desired signal from the cluttered signal. FIR Adaptive filter requires more area and power consumption. Several optimization methods are proposed to reduce area and increase the speed. CORDIC algorithm are widely used in RADAR application for it’s simple architecture. CORDIC structure occupies less area than MAC unit. The speed on the system is improved by combining CORDIC and KA 3- way algorithm. KA algorithm can done in K way.In this proposed design CORDIC and KA-3 way are combined to get area reduction and high speed .The CORDIC incorporated KA 3-way is compare with CORDIC incorporated KA- 2 way structure. KA 3-way gives better performance than the previous design.

    AUTOMATIC TRACKING OF VEHICLE TAILLIGHTS USING MORPHOLOGICAL IMAGING TECHNIQUE

    By T. Selvi1, T. Vijaya Kumar and N. Ramya Devi

    Abstract

    In image processing concept the field of mathematical morphology contributes to a wide range of operators; all the concepts are made with respect to set theory. The operators used in the analysis are made for the analysis of binary images and common usages such as noise removal, edge detection, image enhancement and image segmentation. The algorithm used to detect and track the vehicle headlights or tail lights and alert the signals using embedded camera which is mounted in the vehicle and it also count the cars which is passing on both sides of the movable vehicle. The designed system is very low-power and process can be noticed and controlled interms of an embedded smart camera. In contrast to the existing system the addresses are made either daytime or nighttime detection, the presented system provides the ability to track and detect alert signals regardless of lighting conditions. The mobile vision system has been tested in MATLAB tool which detects the actual traffic scenes and the results obtained may be compared with respect to demonstrate the performance of the algorithm.

    HIGH SPEED CLOCK DISTRIBUTION NETWORK USING CURRENT MODE DOUBLE EDGE TRIGGERED FLIP FLOP WITH ENABLE

    By 1Remil Anita.D, and 2Jayasanthi.M,

    Abstract

    In this paper, a low power current mode double edge triggered flip flop with enable design is presented. A simple current mode conditional gate transmitter design is used to reduce the circuit complexity. The current mode conditional gate transmitter is combined with the current mode double edge triggered flip flop with enable(CMDETFF) to provide one-to-many signalling which is very useful for clock distribution network. In this paper we show that when current-mode (CM) clock distribution network is used, average power can be reduced when compared with voltage-mode (VM) clocks.

    DIRECT TORQUE CONTROL SCHEME FOR INDUCTION MOTOR FED BY FAULT TOLERANT VSI USING SPACE VECTOR MODULATION

    By Jayashree D. and S. Nagarajan

    Abstract

    In most industrial and manufacturing process, the induction motor drive systems are exposed to overloading and hard environmental conditions, which may lead to fault in inverter and affect the load. So in order to overcome the effect, a fault tolerant scheme for SVM based inverter fed induction motor drive was designed. To check the performance of the fault tolerant inverter, open circuit and short circuit fault was introduced in the inverter circuit. The output voltage and current are observed. It is observed that the performance of fault tolerant is similar to the healthy VSI. This is verified by experimental results also. An efficient method of induction motor control is the direct torque control (DTC). Simulation results from the classical and improved DTC are presented and compared. Result shows that the torque, flux linkage and stator current ripple are decreased with the improved DTC.

    COMPENSATION OF VOLTAGE SAG USING LEVEL SHIFTED CARRIER PULSE WIDTH MODULATED ASYMMETRIC CASCADED MLI BASED DVR SYSTEM

    By G.Boobalan1 and N.Booma2

    Abstract

    The Dynamic Voltage Restorer ,a custom power electronic device that is used to inject voltage in series and in synchronism with the distribution feeder voltages in order to compensate for voltage sag/swell.In this paper, a MLI based DVR using Multi carrier pulse width modulation technique is being proposed for compensation of sag/swell in distribution system.Using level shifted carrier pulse width modulated asymmetric cascaded MLI based DVR instead of H-bridge based DVR, the quality of the injected voltage gets improved and the filter size gets reduced.Proposed model is simulated in MATLAB-Simulink and simulation results prove that the proposed model is the most effective solution for the problem of voltage sag/swell.

    REVIEW EXTRACTOR AND PERFORMANCE ANALYZER BY OPINION MINING TECHNIQUES

    By Nivetha.N B.E.1 and R. Anitha2

    Abstract

    Many enterprises devote a significant portion of their budget to New Product Development (NPD) and marketing to make their products distinctive from those of competitors, and better fit the needs and wants of consumers. Hence, knowledge and feedback on customer demand and consumption experience has become an important information and asset for enterprises. Knowledge of the customers about the product reflect the needs of the market. Product design and planning for production lines be integrated with the knowledge of customers and market channels. The knowledge of customers and market channels be transformed into knowledge assets of the enterprises during the stage of NPD. Utilizing the feedback of the customers to categorize the performance of the product, the Apriori algorithm is a methodology of association rule for data mining, which is implemented for mining demand chain knowledge from channels and customers. Knowledge extraction is illustrated as knowledge patterns and rules in order to propose suggestions and solutions to the case firm for NPD and marketing. Ordering of product to the manufacturing company can be done. Sales report analyzes process is carried out by the manufacturing company.

    ANALYSIS AND SIMULATION OF QUASI Z-SOURCE INVERTER SYSTEM FED PMBLDC MOTOR

    By V.Madhan kumar1, T.Siva2 and S.Rama Reddy3

    Abstract

    The major players in renewable energy generation are photovoltaics (PV), wind farms, fuel cell, and biomass. These distributed power generation sources are widely accepted for microgrid applications. PMBLDC motor is connected at the output side which acts as a load and efficiently utilizes the power obtained from renewable energy generation. This obtained power is used to run the PMBLDC motor through quasi Z source inverter. qZSI provides high boost voltage capability and highly efficient single stage boost conversion. The main feature of qZSI is power factor correction. The qZSI employs a unique impedance network that couples the inverter main circuit to the dc source and load. quasi-Z-source inverter has high efficiency and the input current is continuous, suppress inrush current and avoid shoot through fault in inverter when compared to Z-source inverter. The proposed topology of PMBLDC motor is to reduce input current ripple and delivering improved THD. The operating principal of the proposed quasi-Z-source inverter based PMBLDC motor is described and Matlab/Simulink simulation is presented to verify the proposed concept and theoretical analysis

    SURVEILLANCE ROBOT WITH OBSTACLE AVOIDANCE CAPABILITIES AND PIR SENSOR

    By Mythili N.1, Swathi V.2 , Oviya S. K. and Karthikeyan S

    Abstract

    Self-propelled patrolling vehicle can patrol periodically in the designed area as a surveillance robot to ensure the safety like men do. The proposed robot based on the self-propelled vehicle not only can save manpower but also ensure the operation of surveillance being well performed in restricted forests. Due to the limitation of manpower and the fixed camera positions, using surveillance is different from the traditional patrolling system. The paper proposes a self-propelled patrolling vehicle which can move automatically to a wider range and record the monitored video of human activity to improve the performance of the traditional patrolling system. The robot can move in and around the restricted areas, sense the presence of human beings and alerts the security booth through an alarm. The record the activities of the human is sent to the security station. Keywords: surveillance , PIR sensor , video transmission , robot

    HYBRID CONTROL STRATEGY TO ENHANCE THE PERFORMANCE OF PHOTO VOLTAIC SYSTEM

    By G. Rohini1, V. Jamuna2 , J. Cynthia nancy , A.Jenifer

    Abstract

    This paper presents a isolated high boost ratio DC-DC converter for aerospace application. The proposed converter utilizes a hybrid transformer to incorporate the resonant operation mode into a traditional high boost ratio active-clamp coupled-inductor (ACCI) pulse-width-modulation (PWM) DC-DC converter, achieving zero-voltage-switching (ZVS) turn-on of active switches and zero-current-switching (ZCS) turn-off of diodes. As a result of the inductive and capacitive energy being transferred simultaneously within the whole switching period, a high boost ratio is achieved. Moreover, since both main and auxiliary switches can be turned on with zero-voltage-switching, switching loss can be reduced, and conversion efficiency can be improved significantly. The voltage stresses on the active switches and diodes are also maintained at a low level. Various control strategies have been developed and applied on the converter circuit. As the line and load fluctuates in nature, efforts are taken to regulate the output voltage at the required design value .Simulation of the converter is carried out in MATLAB/Simulink software.

    DECENTRALIZED WEIGHTED K-MEANS FOR CLUSTERING LARGE DATASETS OVER PEER-TO-PEER NETWORK

    By BINJU THANKACHAN1 and S. V. SUDHA2

    Abstract

    For several Enterprise Applications, increase of data volumes turned to be infeasible to be kept in a single machine. Distributed storage has become the most efficient way for maintaining huge amounts of data. Consequently, Distributed Data Mining(DDM) become an active research area. Distributed Data Mining applies techniques to mine distributed data sources by avoiding the necessity to first collect the information into a central site. This has a significant appeal when issues of communication cost and privacy place a restriction on traditional centralized methods. The paper describe a general fully decentralized clustering method to cluster distributed data across peer-to-peer environments. The proposed methodology can be instantiated to partitioned-based clustering algorithm. Nodes gradually build a summarized view on the global data set which is the basis for executing weighted versions of the clustering algorithm to build clustering model. Through experimental results the effectiveness of method to achieve a high-quality global clustering solution is demonstrated, which approximates centralized clustering.

    PIXEL BASED ADAPTIVE SEGMENTER FOR ROBOT’S NAVIGATION IN INDUSTRIAL APPLICATIONS

    By R. Sherin Grace and L. Amuthaswaminathan

    Abstract

    The robot in the working environment should be provided with good vision for detection and avoidance of the obstacle present in the path. The proposed method called Pixel Based Adaptive Segmenter (PBAS) is an image segmentation technique that follows a nonparametric background modeling paradigm which segment and extract the details about the obstacles from the static background. In the PBAS, the background update is based on a learning parameter and the foreground decision depends on a decision threshold. The Fire Bird V robot is used here to implement the proposed approach i.e. the PBAS segmentation algorithm. The camera pod mounted on the robot senses the obstacles present in the vicinity. The video sequence is transmitted to the PC through the transceiver in the camera. In PC, the TV Home Media is used to display the video and the segmentation process is carried out in the MATLAB R2104a. The segmentation algorithm is applied on the image frames of the video sequence for segmenting the dynamic foreground from the static background. The decision making is performed over time to choose an alternative path for avoiding the obstacle and the direction is indicated to the Fire Bird V robot via the wireless ZigBee module. Thus the proposed method can effectively segment the image frames for detecting the obstacles in the vicinity of robot and the decision making can be carried and finally it makes the direction better for avoiding the obstacles by providing the details about the unknown surface.

    EXTRACTION OF FETAL HEART RATE AND RESPIRATORY RATE FROM ABDOMINAL ELECTROCARDIOGRAM

    By J.Shamira* and R.Tamilselvi**

    Abstract

    The major problem in modern obstetrics with respect to fetal monitoring is the difficulties to extract information from the fetus to know its actual health condition .The Fetal Electrocardiogram (FECG) is used for the calculation of the fetal cardiac frequency and in the observation of the fetal acidosis. Multidimensional Independent Component Analysis (MICA) is one of the improved advanced signal processing technique which is to be used for separating the FECG from the Mother ECG(MECG) and the interferences. MICA is an extension of Independent Component Analysis(ICA).After the extraction of FECG Pan- Tompkins method is used to extract Fetal Heart Rate(FHR) in order to determine fetal condition. Also in addition the Fetal Respiratory Rate (FRR) is also extracted to know the fetus condition. FHR and FRR plays a major role in determining the fetal health condition exactly.

    DESIGN OF INTERLEAVED BOOST CONVERTER BASED PV SYSTEM WITH MAXIMUM POWER POINT TRACKING

    By S.Joseph Sam Immanuel1 and N.Booma2

    Abstract

    In this work, the use of a DC-DC converter for control of photovoltaic power using Maximum Power Point Tracking (MPPT) control mechanism is studied. First the photovoltaic module is analyzed using SIMULINK software. The main aim of the work is to make a comparative study between the boost converter and interleaved boost converter which is used along with a Maximum Power Point Tracking control mechanism. The MPPT is responsible for extracting the maximum possible power from the photovoltaic and feed it to the load via the boost converter or interleaved boost converter which steps up the voltage to required magnitude. The main aim will be to track the maximum power point of the photovoltaic module so that the maximum possible power can be extracted from the photovoltaic system. The algorithm utilized for MPPT is P&O algorithm. Simulation results proves that MPPT used along with interleaved boost converter is better than the normal boost converter. The simulation has been accomplished in software of MATLAB Math works(2012b)

    PARALLEL CONNECTED BUCK FED SEPIC CONVERTERS SYSTEM FOR WELDING APPLICATION

    By S.Vinod1 and S.B.Thalapathi2

    Abstract

    This paper deals with the control of parallel converter system using PI controller.The Parallel converter is widely used for various industrial applications. The dc-dc converter is the most used topology for parallel converters.This project deals with the design, modelling and simulation of dc-dc converters for the parallel converter system. The parallel converter system with dc-dc converter uses two stage conversion processes. The aim of this project is to design a closed loop control using conventional and intelligent controller for parallel converter applications.The above two controllers are implemented for buck fed SEPIC(Single Ended Primary Inductor Converter) converter then it is connected in parallel. The closed loop controller response is verified for step change in load to maintain load voltage regulation.The performances of the conventional controllers are tabulated

    ANNOTATION OF SEARCH RESULT RECORDS FROM WEB DATABASES USING AN EFFICIENT FREQUENT PATTERN CLUSTERING (EFPC)

    By V.Sabitha1,2 and S.K.Srivatsa3

    Abstract

    An astonishing system used for storing data which can be accessed through a website is referred to as a ‘web database’. A flexible range of activities are carried out through web database. Therefore, it is important to design a proper database which involves choose the accurate data type for each field in order to reduce memory use and to add to the speed of access. Since, tiny databases do not cause any important problems, enormous web databases can grow to millions of entries and hence need to be well designed to work effectively. Thus the motive of our research is to decrease the memory and add to the speed of access in a web database. In this paper, we have introduced a machine learning technique based annotation to increase the speed of search result records in web database and give meaningful labels. The proposed technique is capable to efficiently reduce the recollection and add to the speed of access in a website.

    LOW POWER SECRECY RATE OPTIMIZATIONS FOR MIMO SECRECY CHANNEL WITH A COOPERATIVE JAMMER

    By P.Rajkumar* and I.Rexline Sheeba

    Abstract

    In this paper, a novel communication scheme is to improve the power and secrecy rate of the wireless communication. Compared to the existing system the proposed system will be more efficient of hardware cost, area and speed, because we are using FPGA to implement this architecture, in the existing system they are implemented in hardware circuit level, not in FPGA. In the feature of FPGA offer a number of paradigms to speed up calculations in a hardware software co-design environment. They are relatively cost-effective as compare to ASICs and due to flexible in nature, hardware resources are utilized in an effective way. The area, power, and cost are to be reduced in the hardware. The proposed implementation will be designed into Xilinx S6 FPGA, and finally we provide the power consumption report, synthesis and area report at different frequency range.

    RFID BASED AUTOMATED CONTROL AND DETECTION SYSTEM FOR TRAFFIC VIOLATION

    By K. Priya1, M. Yamini1, S. Pavithra, S.Shalini devi. and Shaik Thasleem Banu 2

    Abstract

    Safety and comfort of road users is becoming mandatory. Hence a reliable and safe system for traffic control and management is required. The objective of this project is to introduce a system which detects stop line violation during red light running and thereby we can trace each individual vehicle. It also captures the invalid license, road tax, FC, insurance and chassis of a vehicle. The proposed system includes two modules namely vehicle unit,traffic unit. Vehicle unit consists of [2,3]PIC(Peripheral Interface Control),GSM(global system for mobile communication),RFID tag whereas in traffic unit it consists of MAX232, RFID reader.

    INERTIAL MEASUREMENT SENSOR FOR ACCURATE DETECTION AND NOTIFICATION USING INTERNET OF THINGS

    By A.Suresh Kumar1, D.Surendran2 , S.Keerthana3 and Kiruthika4

    Abstract

    If vehicle accident information could be intimated to an emergency service or a rescue center automatically by tracking the accurate location valuable human lives could have been saved. This paper focuses on determining the exact location of the targeted accident vehicle. The accident is detected by the data fusion of drift, deceleration, vibration, speed strength of a vehicle with the Timing Inertial Measurement Unit device which senses all the possible ways for an accident to occur and gives input to arduino for intimating the nearest emergency center.

    DESIGN OF A SINGLE SWITCH DC-DC CONVERTER FOR PV PUMPING SYSTEM

    By Keerthana.K1(keerthithamizh21@gmail.com) , Suganthi.K2(suganthi@svce.ac.in)

    Abstract

    The purpose of this project is to have an uninterrupted operation of a PV Pumping system. To achieve this a single switch non isolated dc/dc converter for a standalone system is proposed. The converter is formed by combining a buck converter with a buck-boost converter. This integration also resulted in reduced repeated power processing, hence improving the conversion efficiency. With only a single switch, the converter is able to perform three tasks simultaneously, namely, maximum-power-point tracking (MPPT), battery charging, and driving the pump at constant flow rate. To achieve these control objectives, the two inductors operate in different modes and duty cycle control can be used to manage MPPT and output voltage regulation, respectively. The prototype converter was implemented using MATLAB software with maximum efficiency.

    ENHANCED SECURITY IN ATM TRANSACTIONS USING GSM

    By S.Sudharani, K.Suriya, R.Swapna, M.Varshini1 and Shaik Thasleem Banu2

    Abstract

    Now-a-days the usage of ATM Cards has been increased globally for providing various Banking Services. As its usage increases, fraudulent activities using ATM cards also have been increased. This paper mainly concentrates on improving the security of the ATM Transactions by generating an OTP-One Time Password using GSM.Once the ATM card is inserted a message containing the required Pin number to access the account is sent to the customer’s mobile. The Proposed system consists of a Transmitter & aReceiver Module, where the Transmitter module includes the ATM Machine which is represented here by an ARM Microcontroller along with a GSM module for sending the generated OTP to the customers. The Receiver was the mobile phone of the customer. The main outcome of the paper is to provide aneasy access & to detect the fraudulent transactions and avoids the fraud before it happens.

    EVALUATION OF VIDEO IMAGE CONTENT EXTRACTION AND INFORMATION RETERIVAL USING ONTOLOGY

    By A.katherine Sylvia* and E.V Manju

    Abstract

    Video data consist of raw data and heavy low-level feature content. Only through deep understanding of the video content the retrieval rate will be high In this paper, the ontology based video content analysis and extraction methodology where discussed. Initially the work carried out with respect to multimedia data was discussed. With respect to video event, capturing the elegant content is the cumbersome task. The evaluation of different event extraction process using object extraction, spatial and temporal relationship with respect to event is summarized. With this evaluation this paper opens a way for effective domain specific ontology creation of video content extraction. This paper mainly focuses on real-time sport domain based video content extraction.

    AUDITORY EVOKED POTENTIALS BASED DETECTION OF HEARING THRESHOLD USING PSO NEURAL NETWORK

    By 1Kamalraj Subramaniam, 1Sridhar K P, 2Paulraj M P

    Abstract

    Hearing loss has been the most prevalent sensory disability throughout the world. In Malaysia, National and Hearing Disorder Survey has reported that the prevalence of hearing disorder is about 17.14% with an estimated population of 28.8 million and 1.5% newborns have the onset of hearing impairment. A conventional hearing screening test’s applicability is limited as it requires a feedback response from the subject under test. In this paper, a simple method based on auditory evoked potential (AEP) is proposed to classify the hearing level of a subject. AEP signals are unilaterally recorded with monaural acoustical stimulus from the normal hearing and abnormal hearing subjects and the correlation between the brain dynamics and the hearing threshold response has been observed. From the recorded AEP signals, independent power spectral features (delta, theta, alpha, beta, and gamma) are extracted. A particle swarm optimization (PSO) learning algorithm is applied to a dynamic feedback neural network and a neural network model was developed to associate features with the normal and abnormal hearing levels. The PSO neural network employed with the independent spectral gamma band features has a maximum classification accuracy of 83.45% and 85.77% for the left and right ears across 20 subjects. This study indicates that the gamma band has a higher power value for hearing loss participants while compared with the normal hearing participants. The gamma power establishes a specific sensory code and exhibits a high sensitivity level to discriminate the normal and abnormal hearing level.

    DESIGN AND SIMULATION OF HYBRID RENEWABLE ENERGY SYSTEM WITH SINGLE DC-DC CONVERTER FOR GRID CONNECTED DISTRIBUTED GENERATING SYSTEM

    By R. Karthigaivel and A.S.F.Subhamathi

    Abstract

    This paper presents a newly modified hybrid PV-PMSG based distributed generation system proposed to reduce the system complexity with a single DC/DC boost converter driven at its peak power point. The proposed work consists of a PV MPPT controlled wind generator and PV which is the two input sources fed to the inverter which tracks the peak power point. The energy from PV is directly connected to the inverter which was given through the DC bus. The proposed work has lesser conversion stages due to less number of converters. These two sources use the current control technique to draw its peak power by modifying inverter current. To obtain peak power from these two sources, two new controllers were introduced. Finally, a DC/DC boost converter was designed the combined operation of both the controllers has been displayed and the simulation results are obtained using MATLAB.

    PERSIVE INITIATED PEER DISTTRIBUTION MULTIPLEXING

    By IFHE University, IBS Hyderabad, Telangana 501 203

    Abstract

    There is an emerging market for IPTV. Numerous commercial systems now offer services over the Internet that is similar to traditional over-the-air, cable, or satellite TV. Live television, time-shifted programming, and content-on-demand are all presently available over the Internet. Increased broadband speed, growth of broadband subscription base, and improved video compression technologies have contributed to the emergence of these IPTV services. This we proposed receiver based peer division multiplexing method. The experiments prove that the proposed method effective one.

    PERFORMANCE ANALYSIS OF MPPT ALGORITHMS FOR PV ARRAY FED SEPIC CONVERTER

    By 1S.K.Nandhakumar and 2P.Alageswari

    Abstract

    This work deals with the application of Maximum Power Point Tracking (MPPT) Algorithm like Perturb and Observe and the Incremental Conductance algorithms for photovoltaic (PV) applications using MATLAB/SIMULINK. These algorithms are applied to a Single Ended Primary Inductor Converter (SEPIC) using a mathematical model. The proposed methodology algorithm can be expanded to a various class of converters which is capable for photovoltaic applications. The SEPIC converter provides the close loop characteristics. The mentioned algorithms i.e. Perturb and Observe and Incremental Conductance algorithms are compared in terms of their fastness and error for the proposed Single Ended Primary Inductor Converter.

    A QUASI Z-SOURCE INVERTER WITH BATTERY FOR PV POWER GENERATION SYSTEM

    By 1F.X.EDWINDEEPAK and 2D.SIVAPRIYA

    Abstract

    The Demand of renewable energy sources for power production is rising from the period of time. Solar power plants are play vital role in supplying increased power challenge.PV array with battery based quasi z source inverter makes more reliable under PV fluctuations. The energy storage device is integrated to ZSI topology with no requirement for an extra charging circuit. This modified system obtains the operating characteristics from the conventional ZSI, with ability of operating under low renewable (PV) power conditions. In order to work below this circumstance, an energy storage device capable of managing the load demand for a period of time is required. A way to add the energy storage device is to install a charger circuit that integrates it to the DC voltage rail of inverter. However, this proposed system presents another way to integrate the energy storage device without an extra charger circuit.

    DESIGN AND CONTROL OF BIDIRECTIONAL DUAL ACTIVE BRIDGE RESONANT DCDC CONVERTER

    By K PALANIVEL RAJAN and K KARTHIKA

    Abstract

    The DC-DC converter which is capable of transferring the power in both the directions is proposed. The existing system has the DC-DC converter based on immittance network is proposed which is acting as filter and to achieve unity power factor. This immittance network is helpful to attain the resonant condition. It is making the system complex and the efficiency of the system is decreased. To overcome this the proposed system has the resonant and dual active bridge converter. It produces the resonant condition by the system configuration. It works in normal as well as over current operation. In the normal operation, the converter carries out the resonant condition by the soft switching techniques such as ZVS and ZCS, attained by frequency control. In the over current operation, the diode conducts the electric current in only one direction and prevents exceeding the reference value and across the capacitor. This is used to protect the circuit from over current. It is functioning partly as resonant converter and partly as dual active bridge converter with the constant switching frequency. Thus over current protection is afforded by the diode clamping and the power flow analysis is done by the boost and buck modes using the simulation software PLEXIM.

    PRIVACY POLICY INFERENCE TO AVOID CONTENT A SED IMAGE SEARCHING IN CONTENT SHARING SITES

    By Yamini Kumar, LydiaJeba. J

    Abstract

    Content sharing sites allows users to create connections and share data in the internet with other users of identical interest and ideas. Thousands of people work online these days and share their personal pictures with many web services. Retaining the privacy policy on such social networking site s has developed into one of the major problems. To address this need we put forward a technique called adaptive privacy policy prediction on images and data uploaded by the user. The personalized privacy is build based on the information and the settings given by the user. We study the part of social connection, image substance, and meta data as could sensibly be expected markers of client's security. We put forward a two-level system which standing to the client's available history on the site manages the best reachable security approach for the client's image being transferred. Our determination repository on a picture collecting structure for picture classes which may be associated with comparative arrangements and on a strategy estimate calculation to consequently mark an approach for each recently transferred picture, additionally as directed by clients' social components. The generated arrangements will take after the development of clients' security mentality. The image is displayed only to the desired group of individuals according to the predicted privacy policy. If anyone from the group downloads or saves user uploaded picture, the user is notified with the message.

    DATA INDISTINGUISHABLE USING VISUAL ASPECT STEGANOGRAPHY TECHNIQUE

    By D. Saravanan

    Abstract

    An Enhanced chaotic map lattice based algorithm for image encryption to improve the security of the algorithm suggested by Pisarchik. The basic idea behind the proposed algorithm is to alter the coupling direction used to update the map variables. The altered coupling direction results into a totally different set of initial conditions and map variables of three CML’s. Based on experiments will show that the enhanced algorithm with chosen coupling direction can encrypt the color digital images. The image which given as input is retrieved as same as the original image while decrypting. Here many distortions take place when the image is converted pixel by pixel, this helps in high secrecy of the encrypted image

    HARMONICS REDUCTION IN THREE PHASE UNINTERRUPTIBLEPOWER SUPPLY USING PASSIVE FILTER

    By Anamika.P and Radhika.A

    Abstract

    The presence of harmonics in the UPS system increasesthe losses, output voltage distortion can disturb the operation of loads, it may damage the equipment and the value of Total Harmonic Distortion (THD) is high. The conventional LC filter is very large and costlier. To rectify this problem passive filter is proposed in this paper. The most common practice for harmonic reduction is the installation of passive harmonic filters. Passive filters exhibit the best relationship among all other improvement techniques when dealing with low and medium voltage rectifier system. Compared to LC filter, the passive filter reduces the THD value. The simulation result of a 3-KW UPS with the passive filter has been developed and verified.

    INSTANT BUY PORTAL FOR IPTV SYSTEM

    By Lalith Krishnan H

    Abstract

    Internet Protocol Television (IPTV) is the delivery of Multicast - quality television and/or video signals to subscribers over a broadband connection using the Internet Protocol (IP). In IPTV, offered Live Channels and on-demand content (VOD) are delivered to the consumer. For this, we are using two methods .First conventional method involves a Middleware to the IPTV system (Mediaroom) which has several methods and API’s (Application Programming Interface). The front end part from the Satellite to the server is done by Media room. By using this, we are deploying IPTV services like channels and VOD’s (Video on demand) in the Backend of Mediaroom and features like account management, device management, content management, billing management, roles & claims management etc. are managed at the Middleware. We are providing IPTV service to the Customer i.e. to the TV screen using PF Application at the STB level. The analogous second method involves KODI as middleware software to the IPTV system ported onto raspberry pi .By using this, we are deploying IPTV services like channels and VOD’s (Video on demand) onto the KODI software as Addon's and features like account management, device management, content management, billing management, roles & claims management etc. are managed at the software level.

    THE POWER QUALITY ENHANCEMENT IN POWER GRID BY PV-UPQC AND DISTRIBUTED GENERATOR

    By Ramya.L1 and J. Pratheebha2

    Abstract

    This paper represents the utilization of PV- UPQC and distributed Generator for increasing the quality of power supply to the load. The voltage sag, swell are caused due to variation in the load demand. The voltage interruption and voltage imbalance are caused due to the system faults. The Distributed Generator is used to provide uninterrupted power supply even though the system is under fault condition. Fault detection module (FDM) is implemented to protect the power system equipments from heavy fault currents.

    ANDROID APPLICATION FOR LIBRARY SYSTEM

    By 1Nasaka Durga Pradeep, 2Mayank kumar, 3A Mary Posonia

    Abstract

    Android programming is based on Java programming language, with UI part in XML and have extension as apk .The main idea of this project is to intimate each and every person of our university(including staff and student) should maintain a separate account so that they can have clear idea of what books they have took and what all books those are available in library through search option and they also can know duration of the book and when they have to return the book with clear intimation. Development has resulted through booking procedure (virtually) but not manually.so that Free Digital Library can be obtained. This project work application offers user to make a search for a book that user want from the library. If a particular book is available in the library then it will be shown to user and in turn if book is not available in library then user can make request through this app for that particular book which is already issued to other student. This application deals with the development and implementation of smart phone application which is more effective and simple than current existing web based application.

    A NEW SEMI AND FULL CARRY SAVE VLSI ARCHITECTURE FOR MODULAR MULTIPLICATION

    By 1K.Raja Krishnamoorthy, 2S.Saravanan, 1P.Malini and 1K.S.Jananipriya

    Abstract

    In many public-key cryptosystems, modular multiplication (MM) with large integers is the most critical and time-consuming operation. Therefore, numerous algorithms and hardware implementation have been done in past to carry out the MM more quickly, and Montgomery’s algorithm is one of the most well-known MM algorithms. The paper presents the modified Montgomery’s algorithm implementation using VLSI circuits to speed up the encryption/decryption process. The design have a low-cost and high-performance Montgomery modular multiplier which receives and outputs the data with binary representation and uses only one-level carry-save adder (CSA) to avoid the carry propagation at each addition operation. The proposed project reduces the hardware cost and short critical path delay at the expense of extra clock cycles for completing one modular multiplication. Experimental results show that the proposed Montgomery modular multiplier can achieve higher performance and significant area–time product improvement when compared with previous designs. The implementation is carried out using Quartus 9.1 cyclone II device family.

    SURVEY OF CHANNELISING ACQUISITION SYSTEM WITH BIOSIGNAL IN EMG (2016)

    By P. Shivashakthi and F.V. Jaysudha

    Abstract

    Earlier acquisition of biosignals was a difficult task. When one go for medical instruments for acquiring biosignals which merely depends upon preamplifier to estimate the finest of these acquired biosignals. Biosignals are those signals acquired from visually obtained signal which are recorded and desired patterns are recognized and they are with normal and specific application levels of diagnosis. These signals must be measured, analyzed and correlated with the instrumentation development in biomedical field. Pattern recognition is the vital role which decides the feature of the desired waveforms to be taken under consideration. Biosignals can be generated from different physiological movements of human like Electrocardiogram (ECG), Electromyogram (EMG), Electroretinography (ERG), Electroneurography (ENG), etc,. Latency is the time that has been elapsed difference between stimulated impulse and the contracting action of the muscle. Acquiring biosignal by implementing in MATLAB for ordinary muscle function varies with muscle strained for hours.

    A REVIEW ON ENHANCED IMAGE RESTORATION FOR INDUSTRIAL APPLICATIONS BASED ON WAVELET AND MATHEMATICAL MORPHOLOGY

    By Anoopa Jose Chittilappilly* and Kamalraj Subramaniam

    Abstract

    In the locomotive world automotive industries are the highest and emerging topographies to develop and apply technology for continually improving quality, cost, etc. Probably, image processing is introduced for industrial solicitations in automatic visual inspection system because visual inspection system is not able to identify the small flaws in the industrial products which are used in agricultural sector or others. Although numerous technologies have developed to enhance the ratings in automotive, to overcome the existing system drawbacks, this paper presented a mathematical morphology based on Wavelet neural network (WNN) for Image restoration. According to wavelet neural network and mathematical morphology, a new image restoration algorithm proposed with an image amoeba element for restoring and it perceives any defects in the portions. Further, image restoration is another form of filter that automatically adjust shapes and sizes of structure elements according to the content of the image and the image data trained with the WNN model to regain the original image.

    IMPROVING NETWORK LIFE TIME USING EFFICIENT ROUTING PROTOCOL

    By K.Roophavani1 and 2M.Udhayamoorthi

    Abstract

    Cooperative communication, which utilizes nearby terminals to relay the overhearing information to achieve the diversity gains, has a great potential to improve the transmitting efficiency in wireless networks. In this paper we use An Energy Efficient ANT Based Routing algorithm (EEABR). This routing protocol is based on ANT colony based routing algorithm for MANETs. By introducing energy efficiency parameter to this algorithm, it can be adopted in WSN. It is used for multi-hop ad-hoc networks and on the ANT colony based meta-heuristic. These approaches try to map the solution capability of swarms to mathematical and engineering problems. This routing protocol is highly Enhancements of EEABR considerably reduce the size of routing tables and in consequence, the memory needed by the nodes. By considering the quality of the path between the nodes, not only in terms of distance, but also in terms of energy level of that path, network lifetime can be maximized. EEABR algorithm is adaptive, efficient and scalable.

    A REVIEW PAPER ON INTELLIGENT LANE DEPARTURE WARNING SYSTEM FOR DRIVER ASSISTANCE

    By 1Manoj Demde, 2Prashant Sharma and 3R.V.Kshirsgar

    Abstract

    Most traffic accidents were primarily occurred around the world, because of the lane Departure and cause many casualties and injuries. Lane Departure Warning system(LDWS) is that the part of Advanced driver assistance systems that monitor driver intent warn drivers of lane departures. The lanes have different appearances in different weather, light and road conditions and because of that reason when driving the vehicle it's not properly discover the lane and vehicle cross the Lane and accidents ocuurs. therefore the Lane detection and Lane tracking may be a difficult task because of the varying road conditions that one will come across while driving. Lane Departure Warning systems(LDWS) is one of the main approaches for Lane Detection and Lane tracking and accident prevention. In this paper, Lane detection and Lane tracking systems are helpful in avoiding these accidents as safety is that the main purpose of these systems. Such systems have the goal to detect and track the lane marks and to warn the driver in case the vehicle includes a tendency to depart from the lane. A lane detection and Lane tracking system is a vital component of the many intelligent transport systems. however detection of Lane isn't only used to solve the problem of avoiding accidents .To avoid the accidents Lane tracking is vital technique . within the past few years, various approaches for lane detection were proposed and successfully demonstrated. In this paper, a comprehensive review of the literature in lane detection techniques and Lane tracking techniques is given. the most objective of this paper is to find the constraints of the existing lane detection methods and Lane tracking methods and to overcome all the issues that are enclosed in existing lane detection methods and Lane tracking methods and to develop a proposed computer vision based (Real Time Video based) Intelligent Lane Departure warning system for various weather, lightweight and road conditions. Index Terms----Lane Departure Warning system, Lane detection, Lane tracking

    CENTRALIZATION OF PUBLIC DISTRIBUTION SYSTEM USING SMART CARD

    By 1Raj kumar, R., 2Vishnuvarthan, J. and 3K. Palraj

    Abstract

    Now-a-days rationing material distribution is performed manually by writing about consumption of ration items by customer in the entrybook.People may buy various materials (sugar, rice, oil, kerosene, etc.) by using ration card.Sometimes card holder doesn’t consume ration items,the stock will remain in the shop.But the person working in the ration shop,put inventories & this type of malpracticing entry that consumer are bought ration items,dealers diverts food grains to open market to make profits for their own.There is no monitoring of such unused material. There is another problem of irregularity in opening shops and false announcement of deficit in food grains.People don’t know materials providing date and so they will affected by this false announcement. Sometimes this will affect on routine work of consumer. In the manual distribution system it is difficult to maintain the records. To avoid such a malpractice & regularize public distribution system to people this proposed system is to be implemented. When the consumer proceeds to flash the card the database will retrieve the whole details of the consumer. The user can purchase whatever they want by just flashing the smart card at the shop. The alert message will be given to the consumers when will items available in shop, and consumer purchase details. The consumer will receive purchase details on authorized Email Id year wise report. Keywords: Public Distribution System, RFID, Finger Print

    SECURE TRUST WORTHY SERVICE DISCOVERY (STSD) MODEL BASED ON USER PREFERENCES

    By N.Anithadevi1 and M.Sundarambal2

    Abstract

    The need for filtering authentic web services from the rest has become quite hectic seeing as the malicious ones seem to more and more legitimate by the day. The loss of proprietary information to such web services is becoming increasingly common and as such the paper suggests an idea in which a third party authenticating web service evaluate web service providers and facilitates the user with credible list of providers based on its "Trust filter". The filter takes into account many factors including the various customer preferences and prepares its itinerary trusted candidates in order to satisfy the customized needs of the individual. The idea is to mine user’s preferences from the requirements specification provided by the user and the preferences are used to determine the weights of each Quality of Service QoS attribute. The local trust on a service for the user is derived by combining the trust on QoS attributes and the trust on user’s ratings. In order to classify the web services based on the user's opinion the user must first be legitimate. The global trustworthiness of a service for the users group, the dishonest user are removed based on the results of Local honesty evaluation process. The simulation results indicate that the model works well on personalized evaluation of trust, and it can effectively dilute the influence of malicious ratings.

    WIRELESS WATER LEVEL MEASUREMENT USING ARDUINO

    By Lina Rose 1 and Anitha Mary X 2

    Abstract

    Water is a primary resource which has its significant role in human existence. The rate at which the essential resource being used is exponentially increasing day by day. All living organisms need water for its survival. There are many water storage phenomenons where the major among them is ground water. As water is consumed, naturally subsequent amount of water will be added to the aquifier to reinforce human needs. This recharge capacity if measured will give anew eye opening to those areas which is facing severe drought conditions. This work is carried out on an embedded based sensor technology to determine the water level at various instances there by monitoring the recharging capacity of the water body under study. Index Terms—Digital pressure sensor, ground water recharge, micro controller.

    DEVELOPMENT OF REAL-TIME, EMBEDDED DATA MONITORING WIRELESS NETWORKING SYSTEM TO CHARACTERIZED SOLAR PANEL

    By V.V.Monica Sindhu and X. Anitha Mary1

    Abstract

    To develop a scalable Measuring and monitoring infrastructure for condition based maintenance of photovoltaic generation system based on wireless sensor networking. An experimental setup for performance investigation under tropical weather conditions of the solar panel are created and a dedicated wireless sensor network is considered and implemented using LabVIEW2014 virtual instrumentation software. Apart from real-time data monitoring and displaying features, it also has the GUI system and diagnostic capabilities that are helpful in acquiring the solar panel performance under test. The environmental parameters such as current, voltage, temperature, and relative humidity of a solar panel is also incorporated. The typical 21W solar panel is used for evaluating data from different sensors connected to it. This experimental setup is mainly aimed to access the performance of the solar panel which is helpful for the homeowners to know the quality of their solar panels from the place where they are. Keywords—solar panel, ZigBee, Arduino Nano board, sensors network, Lab VIEW.

    MATHEMATICAL MODELLING OF SOLAR PV PANEL IN MATLAB/SIMULINK FOR THE APPLICATION OF HYBRID POWER SYSTEM

    By 1Little Judy, A and 2 J. Karthika

    Abstract

    The physical modeling of the solar system is not that much efficient so the analysis is done through the mathematical modeling approach. The effect of irradiation and temperature is also considered. The PV module is the interface which converts solar light directly into electricity. Modeling this device, mostly requires taking weather data (irradiance and temperature) as input variables. The output parameters can be current, voltage, power or other variables. However, map out the characteristics I(V) or P(V) needs of these three parameters. Any change in the inputs immediately implies changes in outputs. This paper presents a detailed modeling of the effect of irradiance and temperature on the parameters of the solar PV module. Thus, it is important to use an accurate model for the PV module. The analysis is done in MATLAB/ SIMULINK background. This mathematical analysis approach is a so flexible to change the parameters of the system. Index Terms: PV Panel, MPPT Controller, Solar Array

    DETECTION APPROACHES TO ANALYSISEYE PATHOLOGIES: A SURVEY

    By D.M.D.Preethi1* and VE.Jayanthi2

    Abstract

    Authentication and identification purpose for we need security in all over the world today. Biometric provides a promising solutions meeting all demands. Biometrics identification exploits physiological and behavioral physiognomies to authenticate a person’s identity includes iris pattern, facial, palm print etc. Iris is suited for personal identification because of its unique biological properties. In some circumstances iris change with mature and mutilation due to injury or diseases. Impediments in iris recognition affect the structural and textural features. In this paper, we have provided a comprehensive study of various ocular diseases in particular such as exudate, cataract, glaucoma, which affect the retinal structures. Exiting methodology used to diagnosis the ocular diseases are clearly explained and it will be helpful for the iris recognition system. Keywords—authentication ,security, diseases, iris

    PLANNING AND COORDINATION OF RELAY IN DISTRIBUTION SYSTEM USING ETAP

    By Jayaprakash J 1* , AngelinPonrani M2 , Jothi Lakshmi R2 , Juanola Pearl J 2

    Abstract

    This novel speaks about protection of power system network which carries protective relays that isolates the faulted portion of the network to prevent equipment damage, injury to operators and to ensure minimum system disruption enabling continuity of service for healthier portion of the network. The protective relays must also be able to discriminate between criticized and standard operating conditions.When many relay are involved, coordination of all relay operation in a particular zone is complex and requires optimization. This problem is studied and the protection coordination problem is formulated and simulated in ETAP.Load flow analysis test and short circuit analysis test was carried out and analyzed. Key Words -Power System Network, relay, Load Flow analysis, Short circuit analysis,ETAP.

    OPTIMIZATION OF ROUTING AND WAVELENGTH ASSIGNMENT IN PASSIVE OPTICAL NETWORKS

    By 1Roshni.V.V, 2R.Hemalatha and 3R.Mahalakshmi

    Abstract

    This paper presents the implementation of a metaheuristic algorithm on optical network to fix Routing and Wavelength Assignment (RWA) problem.RWA is one of the important optimization problems in optical networks. RWA problem are of two types, static and dynamic. In static RWA the set of connections is known in advance where as in dynamic RWA connection request arrive sequentially. Here we examine the dynamic routing and wavelength assignment problem. The goal is to minimize the number of wavelengths and blocking probability. Evolutionary programming algorithms are used to optimize the routing and wavelength assignment. The RWA problem can be fixed by number of algorithms like GA, ACO etc. In this paper, Shuffled Frog Leaping Algorithm (SFLA) has been implemented in optical networks to fix the RWA problem.. Cost, number of wavelengths, hop count and blocking probability are the optimization parameters. In WDM network, for the given set of connection requests, routing and wavelength assignment problem involves the task of establishing lightpaths (routing) and assigning a wavelength to each connection request. The problem is analyzed for different wavelength assignment methods such as first fit, random, round robin and wavelength ordering. Fitness function is calculated in terms of cost, number of wavelengths, hop count and setup time. SFLA algorithm produce less blocking probability, less cost and less computational complexity than existing methods. Index Terms: Routing and Wavelength assignment, Genetic Algorithm, Shuffled Frog Leaping Algorithm, Fitness function

    RECONFIGURABLE MULTIPROCESSOR ARCHITECTURE FOR TURBO DECODING

    By 1R.Ilakkiya and 2A.Kalaiselvi

    Abstract

    This paper presents the implementation of turbo decoder on butterfly topology and star topology for parallel processing. Now a days turbo decoder plays major role in wireless communication like WIFI, WIMAX etc. Turbo codes are replacing the LPDC code due to it’s higher error correcting ratio. Turbo codes are generated by the turbo encoders in the transmitter side. During transmission turbo codes are corrupted with noise. The corrupted signal is reconstructed using turbo decoder. The butterfly topology are implemented in turbo decoder for asynchronous load. It provides less network latency and less path diversity. The star topology is implemented in turbo decoder for simple architecture. Turbo decoder implemented in butterfly topology and star topology produce high throughput compared to normal turbo decoding. Index Terms— Turbo Decoder, Butterfly Topology, Performance analysis

    INTERPRETATION OF INDIAN SIGN LANGUAGE USING STORED VOICE SAMPLED VALUES

    By Gargi Arya 1 , Monika Mandal1 1 and Rachana Nagal 2

    Abstract

    According to the census of India 2011 data on disability, around 7.4% of population is speech impaired. They use sign language as a medium to communicate but it restricts them to communicate with people who do not understand sign language. Speech impediment not only restricts them in communication but also in learning. This work make its contribution towards bringing down the barrier of communication and thus developing a compact and affordable wearable device which converts Indian sign language to voice and text. It is equipped with a accelerometer weared in index finger. For each gesture, accelerometer yields XYZ coordinates which are sensed by ATmega 2560. According to the sensed coordinates micro-controller extracts the corresponding speech file (decimal sampled sound file) from SD Card, process it and feed to audio amplifier and at the same time to LCD display. The .wav files are processed via Matlab to fetch the decimal sampling of sound files which are stored in the SD card for memory management and hence extends the potential for vast storage of words and sentences. IndexTerms: Atmega 2560, Indian Sign language, Arduino mega 2560, accelerometer, LM 386, Text to Speech, SD card

    A RASPBERRY-PI BASED IOT SYSTEM FOR MEASURING THE ENVIRONMENTAL PARAMETERS TO MONITOR THE POLLUTION LEVEL USING IBM BLUEMIX

    By Sonali Dwivedi1 and Venkatasubramanian K2

    Abstract

    Environmental parameter monitoring using Internet of Things (IOT) provides a low cost and an effective system to monitor the weather condition and to take relevant steps to overcome it. The Internet of Things (IOT) refers to virtually representing a physical network. This work presents a functional design and implementation of a complete sensor system which can be used for monitoring the environmental parameters. The system fulfills all the requirements like high number of sensors, fast deployment, low maintenance, and high quality of service. The system is based on acquiring data like carbon dioxide, temperature, humidity and carbon monoxide from various sensors and monitoring the sensor value. The measured parameters are thus uploaded to the cloud so that the users can track the present environmental condition and could identify the contribution of various elements towards it. A message is sent to the user notifying about the air index. The whole process is carried out on Raspberry-Pi. So, in short this is an integrated system which combines Internet of Things and Raspberry-Pi. Index Terms: Raspberry Pi , Pollution , Sensor , IOT

    MODELING FUZZY BASED REPLICATION STRATEGY TO IMPROVE DATA AVAILABILITY IN CLOUD DATA CENTER

    By Vijayakumar D 1 , Nivetha N K 2, Sreenivasagam K G 3 and Sabarimuthukumar R4

    Abstract

    Data management is an important strategy to be considered in large scale cloud environments. This can be easily handled by using file replication. This project is to improve data availability in cloud data center by taking replicas and place them into different data centers. Replica creation may depends on the maximum usability / accessibility of the data in cloud data center. The data which accessed most frequently are consider for replication process. Replica selection is to select most suitable replica, in order to place them into more than one data centers. Index terms-- Cloud computing, Data center, replication.

    IMPLEMENTATION OF MPPT ALGORITHM FOR SOLAR PHOTOVOLTAIC CELL USING INCREMENTAL CONDUCTANCE METHOD

    By 1Dhineshkumar.M., 2P.Elangovan, 3S.Hariharasudhan, 4M.Muthukumaran, 5S.Vijayalakshmi

    Abstract

    In this paper conventional energy is replaced with renewable energy due to its advantages over the nonconventional one. Making maximum use of the PV panel energy using Maximum Power Point tracking (MPPT) for extracting a maximum power from the PV panel due to variation in ambient temperature and irradiations. BOOST converter is used here for increasing the voltage to the desired value depends on the load. The use of MPPT techniques improves the efficiency of solar panel. Hence the usage of MPPT techniques are increasing day by day. This paper explains about the performance of popular MPPT techniques, Incremental conductance algorithms using BOOST converter .The advantage of the techniques are explained .Simulation studies of proposed system are done using PSIM software. Keywords: Photo Voltaic (PV) energy, Maximum Power Point Tracking (MPPT) techniques, Incremental Conductance, BOOST converter.

    FRACTAL ANTENNA FOR MULTIBAND APPLICATIONS

    By Dhivyabharathi, R. and K. Ramprakash

    Abstract

    This paper presents the simulation and design of a wideband H-shaped microstrip patch antenna. The shape will give the broad bandwidth which is needed in the different kinds of application for example satellite communication, mobile radio, biomedical application, remote sensing and so on. In this system (IEEE 802.11a standard) the high speed wireless local area network is used to generating the H-shaped microstrip patch antenna. The antenna is an upgrading from previous research by using H-fractal and this has been used for multiband antenna. The proposed system shows that the proposed antenna can excite much significance with sensible antenna directivity. The S parameter and Voltage Standing Wave Ratio (VSWR) show that the proposed system is better candidate for a different kind of antenna application. Keywords— H-shaped microstrip, antenna, S parameter and Voltage Standing Wave Ratio (VSWR), bandwidth

    A LOW POWER RECODING METHODOLOGY FOR THE DESIGN OF A MAC UNIT USING FUSED ARCHITECTURE

    By Raja Krishnamoorthy 1 , B.Sujetha2 , S.Saravanan3 and P.Haridevi4

    Abstract

    The paper presents a new fused methodology proposed for the MAC unit in 65nm which consumes less power, area and reduces the critical path delay. This paper focuses on the efficient design of Fused adder-multiply operators, targeting the optimization of the recoding scheme for direct shaping of the Modified Booth form of the sum of two numbers. More specifically, we propose new technology advancement compared to the recoding technique available in 90nm technology. The proposed technology decreases the critical path delay and reduces the power consumption. The proposed technology not only reduces the power but area also been reduced. The work is done for different fused approach using conventional and signed-bit Adders as building blocks. The implementation is done using Spice models, results are observed and power analysis is made. Index Terms— Low power, Recoding schemes, MAC unit, Fused Architecture, Modified Booth Algorithm.

    SIMULATION OF SOLAR BASED POWER CONTROL FOR HEART PUMPING APPLICATION

    By Haripriya K,

    Abstract

    Solar PV system plays a vital role in renewable energy sources, which is applied for all fields of science and engineering. In this paper, the usage of solar energy for heart pumping application is discussed. Transcutaneous energy transfer (TET) is used for providing supply to implantable device with split capacitor push pull parallel resonant converter in boost mode operation. In existing system heart pumping is done via percutaneous cable. It has the drawbacks of infections and it’s associated withrisk. Transcutaneous energy transfer method eliminates these problems and it reaches the end to end efficiency level. The proposed system is configured using MATLAB/Simulink tools. Index Terms- solar power, biomedical electronics, implantable devices, resonant converter, transcutaneous energy transfer coil (TET).

    HARMONIC REDUCTION IN BLDC MOTOR USING SEVENLEVEL CASCADED MULTILEVEL INVERTER

    By G.Nandini1 and A.Senthilnathan2

    Abstract

    Brush Less DC (BLDC) motor is widely used in many industrial and household applications due to its high reliability, simple frame, speed precision, fast dynamic response etc. In this paper, a cascaded multilevel inverter using Sinusoidal Pulse Width Modulation (SPWM) is proposed for BLDC drive. As it is an electronically commutated motor, the commutation can be done by conventional PWM inverters. The torque ripple and harmonics are generated due to high voltage stress in BLDC motor. This problem can be avoided by using a cascaded multilevel inverter with SPWM switching. The proposed seven-level cascaded multilevel inverter using SPWM for BLDC drive is implemented using MATLAB/Simulink and the simulation results are presented. The reduced Total Harmonic Distortion is analyzed using FFT analysis. Keywords: Brush Less DC Motor (BLDC), Multilevel Inverter (MLI), Total Harmonic Distortion (THD), Sinusoidal Pulse Width Modulation (SPWM).

    MODBUS TO M-BUS PROTOCOL CONVERSION GATEWAY WITH LOW CONVERSION LATENCY FOR BUILDING MANAGEMENT SYSTEMS

    By Vasanth Dhinakaran 1 and GugaPriya G2

    Abstract

    Modbus is a common industrial field control bus protocol which is not only used in a wide variety of industrial applications like SCADA systems but also commonly used in building management systems(BMS) across the globe.Buildings generally use BTU,Water,Energy meters that operate on M-bus standard.M-bus devices cannot communicate directly with a Modbus based Building Management System(BMS).The network level incompatibility of a M-bus device to communicate with a Modbus master can be overcome by using a protocol conversion device having low conversion delay time and suitable voltage adjustment circuits.My project will focus on building a protocol conversion gateway for the M-bus slaves to communicate with a Modbus based master with minimum time delay using RS232 based serial medium for communication. Index Terms: M-bus protocol, Modbus protocol, protocol nversion,BMS,BAS,Building Automation System,Building Management System.

    DEVELOPMENT OF 3D MODEL WITH ISO SURFACE RECONSTRUCTION ALGORITHM IN COSMETIC SURGICAL APLICATIONS

    By Ziaur Rahiman Shaik 1 , D. Madhavi, N.Jyothi2 and Ch.Sumanth Kumar3

    Abstract

    The objective of this paper is to develop semi-automatic guided software for performing cosmetic surgery and fabrication of head phantom by the process of simulating three dimensional (3D) visualization techniques for improving therapeutic treatment with computer vision and innovative technologies. The 3D operation planning is one of the main applications in reconstructive and crania-facial surgeries. The current trend in surgical planning is with respect to tissue changes based on frontal analysis of 2D information sources such as photographs, X-rays, and CT/MRI etc. The proposed slicing technique will be suitable for the display of complex structures of the facial skeleton and can also be used to develop skull by 3D printing technology. The proposed method helps in developing of 3D reconstruction method with an aid of computer software for developing a 3D model from 2D CT/MRI scan with cross sections of a patient. A basic 3D model of outer face is created using algorithm of icon-surface reconstruction which defines proper icon-value or intensity value. This method can be used to construct different regions based on user defined value. Each region is reconstructed in 3D using different colours for identification. The development of 3D model based iso-surface extraction and reconstruction will provide better surgical results with fewer procedures, and also improve the functionalities to a greater extent. Index Terms— Rapid prototyping, surface reconstruction, 3D volume, skull

    COMPARATIVE STUDY OF DIFFERENT TYPES OF CONVERTERS FOR SWITCHED RELUCTANCE MOTOR DRIVE

    By 1Maheswari ,C. and 2Priyanga S

    Abstract

    Switched Reluctance Motor (SRM) is a competition for many applications of electric drive system due to its simple construction and robustness. This paper presents a comparison between different types of conventional converters with a new Bridgeless SEPIC converter. The conventional converter topologies employed for SRM drive are R-dump, C- dump, H-bridge, series and parallel type converters. The SRM with 6/4 pole is analyzed with a Bridgeless SEPIC converter by using Matlab/Simulink packages and operating principles of various converters also described. This paper provides the results of Bridgeless SEPIC converter yields reduced current, torque ripples with a constant speed used in medical application particularly for Sleep Apnea Treatment. Index Terms - Switched Reluctance Motor (SRM), Single Ended Primary Inductor Converter (SEPIC), R-dump, C- dump, Hbridge, series and parallel converter.

    A NOVEL CIRCUIT METHODOLOGY TO IMPROVE THE TRANSITION DELAY AND PROVIDE SIGNAL FEED THROUGH FOR INPUT DATA IN PULSE TRIGGERED FLIP FLOP

    By Raja Krishnamoorthy1 , P. Indhubala2 and S.Saravanan3

    Abstract

    In this paper, a new method to improve the transition delay, Conditional Pulse enhancement and reduction in transistor count for Flip Flop is proposed which consumes less power and area. The design featuring an explicit type pulse-triggered structure improves the problem arises due to transition delay. The clocked Pseudo NMOS style structure enhances the efficiency and reduces the load capacitance. The design which successfully solves the long discharging path problem also reduces the transistor count in the discharge path. The Proposed circuit is implemented using Predictive technology Model in CMOS 90-nm technology. The proposed design outperforms the existing method by reducing the power by 15% and 40% with two existing methods. Index Terms— Flip-flop (FF), low power, pulse-triggered, Transition Delay, Conditional Pulse enhancement

    A FRAMEWORK FOR MINING UNIFYING TRAJECTORY PATTERNS USING SPATIOTEMPORAL DATASETS BASED ON VARYING TEMPORAL TIGHTNESS

    By Rahila R.1 and R, Siva2

    Abstract

    Trajectory patterns discovery is useful in learning interactions among moving objects. Different types of trajectory patterns such as flock patterns, convoy patterns and swarm patterns have been proposed earlier, but methods were developed for mining only a particular type of trajectory patterns. The pattern discovery becomes difficult and inefficient as users typically may not know which types of trajectory patterns are present hidden in their data sets. One main observation is that trajectory patterns can be arranged based on the strength of temporal tightness. In this paper, a framework of mining unifying trajectory patterns also known as UT-patterns based on varying temporal tightness is proposed. The framework consists of three phases: initial pattern identification, granularity adjustment, classification and visualization. The preprocessing is done by using trajectory clustering algorithm and a set of initial UT-patterns identification are done in the first phase by using the spatiotemporal datasets. The granularity adjustments i.e., levels of detail are adjusted by drill down and roll up to detect other types of UT-patterns in the second phase. Classifications of the UT-patterns are done using the Trajectory classification algorithm in the third phase. Visualization of the classified UT-patterns is done in the final phase according to the patterns obtained as the result of classification. Keywords— Trajectory patterns, temporal tightness, UT-patterns.

    BUNDLE BLOCK DETECTION USING DIFFERENTIAL EVOLUTION AND LEVENBERG MARQUARDT NEURAL NETWORK

    By Padmavathi Kora

    Abstract

    Globally heart diseases are the most prevalent cause for human mortality. Every year, 9.4 million deaths are attributed to heart diseases (cardiac arrhythmia) including 51% of deaths due to strokes and 45% deaths due to coronary heart diseases. Hence identification of these heart diseases in the early stages becomes important for the prevention of cardiac re- lated deaths. Although the existing conventional ECG analysis methods like, RR interval, Wavelet transform (WT) with classification techniques, such as, Support Vector machine (SVM), K-Nearest Neighbor (KNN) and Levenberg Marquardt Neural Network (LMNN) are used for detection of cardiac arrhythmia, the fea- ture extraction using these methods generally yield a large number of features, of which many might be insignificant. In this paper Differential Evolution (DE) can be efficiently used to detect the changes in theECG using optimized features from the ECG beats. For the detection of normal and BBB beats, these DE feature values are given as the input for the LMNN classifier. The data was collected from MIT-BIH arrhythmia database. Index Terms—Bundle Block, Differential Evolution, LMNN classifier, MIT-BIH Arrhythmia database.

    DESIGN OF NOVEL RICE GRINDING MACHINE

    By S. Jayapoorani1 and V.Manju2

    Abstract

    Wet grinder is one of the most commonly used electrical household appliances. In existing wet grinder single phase induction motor is used and thus it provides benefits in improving the energy efficiency and the motor drive. Since the cleaning mechanism and timer is not yet enhanced in an industrial/domestic wet chopper, a mechanism to completely fully automate is initiated. The system of inlet, outlet valve, timer and a design process it can be obtained. Consequently, effort and also time consumption is minimized. Through the timer the consequence of grinding is aligned and the grinding progression is revealed in real time. Index terms— wet grinder, timer, comparator sensor, cleaning mechanism, and microcontroller.

    A SOFT SWITCHED CASCADED BOOST CONVERTER FOR PHOTOVOLTAIC APPLICATIONS

    By Narmadha, R.1 , M. Marimuthu2 and B. Paranthagan3

    Abstract

    In this paper, a soft-switched cascaded boost converter connected with a single active switch and simple auxiliary resonant circuit is adopted for photovoltaic applications with high transformation ratio and low voltage stress across the switch. Switching losses and electromagnetic interference (EMI) noises are condensed by restricting di/dt of the diode reverse recovery current and dv/dt of Metal-Oxide semiconductor Field Effect Transistor (MOSFET) drain-source voltage. In this converter an auxiliary circuit consists of one auxiliary switch, a resonant inductor and a clamp capacitor is operated under zero current transition technique. The main switch turns-on by means of zero current switching (ZCS) and turns-off by means of zero voltage switching (ZVS), while the auxiliary switch turns-on and turns-off by means of zero voltage switching (ZVS). This switching configuration can improve the system efficiency and reduce the switching losses likewise it is very easy to control. The detailed theoretical analysis and the design equations are described. To verify the performances of the proposed converter, it is demonstrated by PSIM simulation. Keywords: Soft switching, DC-DC cascaded boost converter, Zero Voltage Switching (ZVS), Zero Current Switching (ZCS), switching loss, hard switching, Zero Current Transition (ZVT), Electromagnetic interference (EMI).

    A NOVEL TECHNIQUE FOR ENHANCING OVERALL NETWORK EFFICIENCY USING COGNITIVE RADIO

    By J.Sivasankari1 and B.Sridevi2

    Abstract

    Cognitive radio has been considered as a key technology for future wireless communications and mobile computing. Power heterogeneity is also common in CR networks. The benefits of high-power nodes are the expansion of network coverage and also have advantages in power and data transmission rate. So, researchers have made efforts to examine these advantages, like backbone construction i.e., virtual backbone is constructed in a distributed and localized fashion while considering many incompatible objectives like fast convergence, and low computation cost. Topology control helps in conserving the energy by either reducing transmission power per node or preserving energy-efficient routes for the entire network. But, the large transmission range of high power nodes leads to large interference, which reduces the spatial utilization of network channel resources. Because of different transmission power, unidirectional links will occur in the network. Due to these issues, the primary user (PU) of the cognitive radio network will go into shutdown condition. To address this issue and to explore the advantages of high-power nodes, we develop an virtual clustering algorithm to construct a hierarchical network and to eliminate unidirectional links. To reduce the interference raised by high-power nodes, we develop routing algorithms to avoid packet forwarding via high-power nodes. The throughput of power heterogeneous cognitive can be severely impacted by high-power nodes. Index Terms—Cognitive Radio, Virtual Clustering, Primary User, Hierarchical Nodes, Throughput.

    DEVELOPMENT OF FACE RECOGNITION USING THE FEATURES OF LIP

    By S.Nirai Selvi1, M.Carmel Sobia2 and K. Shankar3

    Abstract

    At present Lip is used as an identifier from person to person. The unique parameters are experimented to differentiate individuals and their uniqueness is also verified. The main advantages in the bio-metric system based on lip recognition are data acquisition and handlings remain simple. Herethe first stage of work face detection is donebyViola and Jone’s algorithm. Face detection used for capturing the features of the lips four various mouth corners are detected through the proposed system. These detected four points are used for further recognition purpose. In the proposed system, is done by FBF (fast box filtering) used to generate a noise-free source with high processing efficiency. In this work Cohn–Kanade database and Indian face data base of neutral expression have been used for lip identification. Keywords:Bio-metric, Face Detection, Lipcornerdetection, Lip recognition.

    ANALYSIS OF DISPERSION COMPENSATION TECHNIQUES IN DWDM OPTICAL NETWORKS

    By V Sathya*, R Hemalatha and R Mahalakshmi

    Abstract

    Dense Wavelength Division Multiplexing (DWDM) is an extension of optical networking. DWDM devices combine the output of more than eight optical transmitters for transmission across a single optical fiber. Problems like dispersion, cross talk and other non-linear effects occur in optical networks. Dispersion is the spreading out of a signal as it travels down the fiber. Chromatic dispersion (CD) and polarization mode dispersion affects the DWDM. Chromatic Dispersion is a major factor in the transmission of data over a long haul application. To overcome the loss caused by CD, we can use different techniques.The proposed method focuses on the dispersion and its compensation techniques on DWDM networks. In order to compensate for the dispersion, various compensation techniques like Fiber Bragg Grating, Dispersion Compensation Fiber and Electronic Dispersion Compensation are employed. The DWDM architecture is implemented using OptSim. These dispersion compensation techniques are to be analyzed for DWDM networks. The simulation results show the performance of the DWDM system in terms of Bit Error Rate and Eye diagram. Keywords: Dense Wavelength Division Multiplexing, Chromatic Dispersion, Fiber Bragg Grating, Dispersion Compensation Fiber, Electronic Dispersion Compensation.

    FRACTAL IMAGE COMPRESSION USING QUANTUM ALGORITHM

    By T Janani* and M Bharathi*

    Abstract

    Fractal image compression (FIC) is an image coding technology based on the local similarity of image structure. FIC offers high compression ratio without degrading quality of retrieved images, which makes FIC, a widely approved technology. However, despite of the linearity of the decoding phase, the coding process is much more time consuming, because of search involved in finding local self-similarities in an image. Algorithms like Quad tree Partitioning Huffman Coding (QPHC) and DCT based FIC (DCT-FIC) have been developed to reduce the computational complexity in the coding phase. The proposed method, FIC through quantum representation exploit enhanced computational power and huge storage capacity, which makes it significantly faster than any classical algorithm solving the same problem. For this reason, an attempt is made to apply QA to reduce the computational complexity of FIC. Keywords: Fractal Image Compression, Local self-similarities, Quantum Algorithm, Iterated Function System.

    DESIGN AND ANALYSIS OF CYCLIC REDUNDANCY CHECK USING QUANTUM-DOT CELLULAR AUTOMATA (QCA)

    By M.Vinothini1 and J.Harirajkumar2

    Abstract

    Forcommunication systems, error detectors are required to make sure that error free signal is passed while transmitting/receiving. This error detection is resolvedby a basic parity generator and parity checker in QCA.But these parity checkers cannot detect all forms of error. It checks whether it is an odd or even parity. To overcome the limits of parity checker, cyclic redundancy check (CRC) will be analysed and can be designed using QCA. Currently, QCA standsa assuring replacement for CMOStechnology. In QCA,the operation isdirected bythe electron’s position. The consumption of power in QCA is less and the operation of clock frequency is high over traditionalCMOS. Also with technology reaching Nano-scale, CMOS does not function perfect. CRC’s are especially useful in digital circuits such as phase detectors, code converters and error detection & correction circuits. In this paper, QCA Designer tool ver. 2.0.3 has been used for the simulation of the design. Index Terms: Communication, Error Detection, XOR/ XNOR, Information, Parity Generator, Parity Checker, QCA, Transmission.

    OBSTACLE DETECTING ROBOT FOR UBIQUITOUS ENVIRONMENT - DEVOID OF SENSOR

    By Jefit Ravina G. and C. Nagarajan

    Abstract

    Autonomous path tracking robot without any knowledge about the environment must muddle through the obstacle. The onboard sensing technique uses sensor to detect obstacle. The vision based technology progress with camera to become aware of obstacle. On comparing the above two approach, the latest one provides detailed information about the environment which is not obtained by using sensor. There are some drawbacks in onboard sensing technology like selection of sensor based on color and lightning condition which can be overcome by the proposed method. The proposed method depends on vision based technology which is capable of providing detailed description about the environment to avoid obstacles. The piecewise linear contrast stretching is used for image segmentation. The map less navigation where the robot is not trained to any environment behaves like a human when the robot detects an obstacle from the captured image. Once the obstacle is detected the robot takes another possible path for the further safe navigation. Key words: Obstacle, Onboard Sensing, Piecewise Linear

    SMART CITY LIGHT SCANNER USING RAMBLER

    By A.Andrine Dinola1 and V.Somasundaram2

    Abstract

    In metropolitan cities streetlights with poor lighting cause vehicle accidents and may provoke theft or murder during nights. Predicting faulty post lamp can maintain proper lighting in street roads. At present, faulty post lamps are checked regularly by electrician but takes long time to repair. Existing researches concentrate on incorporating sensors with wireless networks into each street lamp. There is a problem in interfacing the wireless networks with the existing lighting circuit and also it is more expensive than required for installing lamps. Hence a smart lighting system must be considered. A sophisticated system named as Rambler which is laid on the top of fixed route vehicles, collects illumination readings and location of streetlights along the route the vehicle traverse. The collected reading will be transmitted to PC and by using MATLAB’s Graphical User Interface Design Environment (GUIDE), Luminance Map (LMap) will be created. By finding the difference between different LMaps found at different times, location of faulty streetlights can be identified. To avoid erroneous LMap, Inspection Point (IP) is to be installed at 2m above the ground of one or two street lamps which provide ground-truth value of illumination reading. The proposed method does not require modification of vehicle and street lamp. The proposed system can be used in metropolitan cities possibly in highways. This system can be used as an alternative system for detecting faulty street lamps in an efficient manner. Keywords? Fault, Rambler, Luminance Map, Inspection Map

    SYSTEM ANALYSIS OF EMG SIGNAL FOR VARICOSE VEIN

    By P.Shivashakthi @ Preethi and F.V.Jaysudha

    Abstract

    Earlier acquisition of biosignals was a difficult task. Whereas implementation in medical instruments used for acquiring biosignals from visually obtained signal which are recorded and desired patterns are recognized and they are compared with normal and specified application levels of diagnosis detecting varicose vein. These signals must be measured, analyzed and correlated such that pattern recognition plays a vital role which decides the desired waveforms from extracted from EMG signal. Peak signals at 128Hz and 256Hz are detected and extracted at various sensor points that are placed. Biosignals can be generated from different physiological movements of human like Electrocardiogram (ECG), Electromyogram (EMG), Electroretinography (ERG), Electroneurography (ENG), etc,. Acquired EMG signal by implementing in MATLAB for ordinary muscle function varies with muscle strained for hours while standing. Keywords—Biosignal,MATLAB,EMG.

    LOW POWER, SMALL FOOT PRINT EMBEDDED VOICE BIOMETRICS SYSTEM

    By 1Puja Ramesh Chaudhari and 2 John Sahaya Rani Alex

    Abstract

    Biometrics is indeed becoming an important solution for any highly secured system. Voice is one of the biometric parameters that can use for a person identification and verification. In this paper, a small foot-print, low power embedded system is proposed and implemented using Beagle Bone Black (BBB). Hidden Markov Model (HMM) based speaker recognition system is implemented. Mel-Frequency Cepstrum Coefficients (MFCC) is used as features to identify the speaker. Each speaker is modelled as one HMM. The verification of the speaker voice is done using Viterbi decoder. The embedded system for Voice Biometric system is successfully implemented for a limited number of speakers and the accuracy is verified to be as almost 100%. Keywords—Speaker Recognition, MFCC, Biometrics, Voice, HMM.

    DATA HIDING IN ENCRYPTED H.265/AVC VIDEO STREAMS BY CODE WORD SUBSTITUTION

    By G.Pramitha* and G.Sundari

    Abstract

    Steganography is main part of hiding the fact that communication is taking place, by hiding information in other information. Because of their frequency on the internet digital videos are the most popularly used for this purpose. Data hiding in the process of encoded domain without decoded secure the secret of the content. Likewise, video file size is strictly secured even after encryption and data embedding. Video compression a technique is also involves in this system it can be high complexity, bandwidth and delay. This is because of its high-resolution. In this paper, we propose a system analyzing using H.265/AVC (Advanced Video Code) video streams by code word substitution method. By using stenographic analysis tool the encryption part can be accessed. Index Terms—Steganography, AVC, Encrypted, Decrypted, Data embedding, Compression, Frequency.

    AN EFFICIENT EMBEDDED COMPRESSION TECHNIQUE FOR REDUCING DELAY IN HD VIDEO COMPRESSION

    By V.Ragavendran*,and G.Sundari1

    Abstract

    At present, the HD (High Definition) video compression techniques involves high complexity and delay. This is because of its high-resolution. The motive is to reduce the delay taken for compression of video. Here a low-complexity lossless/near lossless video codec design is presented. It aims at serving as an embedded compression technique to reduce the delay for high definition video compression over wireless networks. The design feature is best trade off in complexity and efficiency. For video test set consisting of previously encoded full HD and non-full HD sequences, the compression efficiency of Context based Adaptive Lossless Image Coding (CALIC) and Wavelet transform methods needs to be improved. The main objective is to propose another algorithm which reduces the delay and also to increase the compression efficiency by retaining the quality of original video. Index Terms: Video compression, Delay, Embedded compression, DTCWT, Wavelet Transform, Fractal Image Compression.

    A NOVELIMPLEMENTATION OF HIGH SPEED MULTIPLIER USING BRENT KUNG CARRYSELECT ADDER

    By K. Golda Hepzibha1 and Subha2

    Abstract

    Multiplication is one of the most significant operations in every computational system and a multiplier forms the core of systems such as digital signal processing, image processing and microprocessor. Multiplier is an important element which contributes to the major power consumption in any system. Hence a fast energy efficient multiplier is always needed in electronics industry for fast computation of results. Recent applications of multipliers with various data lengths are always required in VLSI from processors to application specific integrated circuits (ASICs). In this work the designs of two different array multipliers is presented, one by using Ripple Carry Adder(RCA) based Carry Select Adder (CSLA) and Binary to Excess-1 Converter (BEC) based RCA CSLA for addition of partial product terms and the results are compared with the proposed multiplier using Brent Kung (BK) CSLA in partial product lines. The designs are synthesized using Quartus II Software. This design will meet the challenging task in modern VLSI design with respect to area and delay. Index Terms— Ripple Carry Adder, Carry Select Adder, Binary to Excess-1 Converter, Brent Kung Adder

    CRITICAL EQUIPMENT SAFEGUARD IN POWER STATIONS USING PLC

    By Jayaprakash. J.

    Abstract

    This novel will speak about the methods to demonstrate all the protections and interlocks available in the critical equipments of Thermal power station (TPS) and Steam Power Plant (SPP) such as Boiler, Turbine, the Alternator.These critical equipments are to be protected from abnormal conditions and parameters. The failure of any one of these equipments will lead to loss of power generation and also cost of these equipments is huge. Thesafeguard techniques are classified as class a, class b and class c protections. Distributed digital controls and numerical safety relays play a vital role in providing protections to these critical equipments. Conversely, an exertion has been made to demonstrate the operational protections with the aid of a programmable logic controller. Key Words -Boiler, Turbine, Alternator, Interlocks, Distributed digital control, Programmable logic controller, Thermal Power Plant

    DESIGN AND SIMULATION OF PVFED GRIDCONNECTED SYSTEMWITH ZCD

    By 1R.Asha, 2N. Saritha and 3V. Jamuna

    Abstract

    This project deals with the simulation of PV fed grid connected inverter for single phase grid connected system. This project mainly focuses about the design and simulation of grid connected system and to synchronize the inverter voltage and frequency with the grid voltage and frequency. If the proper synchronizing is not done then power cannot be fed to the grid. The synchronization is done by using Zero crossing detector (ZCD) technique. In order to satisfy the grid interfacing requirements, LCL filters are designed and used. Keywords— Boost Converter, Grid, Inverter,Solar Photo-voltaicSystem (PV), zero crossing detector(ZCD)

    A POWER CONSTRAINED OPTIMIZATION ALGORITHM FOR ENERGY REDUCTION IN CLOUD COMPUTING

    By MANIVEL PANDIAN P.1 AND A. SATHYA SOFIA2

    Abstract

    Cloud computing is a new exemplar for data sharing and storing in cloud centers and it achieves the phenomenal growth for remote accessing resources via networks. But, succeeding the power consumption controls, concurrently achieving the performance oriented tasks are the most crucial issues for cloud services. For that, the system is implemented with three important energy saving schemes for monitoring cloud services and also to reduce the server idle energy consumptions. In existing, the optimization of energy is done in cloud servers only when the arrival rate is low. By using this EGCM the problems of server wake up, and cloud system congestion is overcomed, but it cannot able to eliminate the unnecessary idle energy saving when arrival rate increases and also it cannot allocate resources or switch the resources between idle and sleep status during the execution of process.. Here, the main objective of the proposed work is to reduce idle energy consumption without sacrificing performance and without violating (SLA) for that, the system introduces new examining methodology called Artificial Association Bee [AAB]. The new method is used to solve the constrained optimized problem and support the cloud service providers or server for energy saving and optimization. The new method reduces unwanted idle energy consumption by switching idle to sleep modes in an iterative manner, when more tasks are performed in the cloud service execution process. Such as the new AAB methodology provides an effective server performance for loading or sharing or providing the services to the cloud clients, and also it achieves energy consumption, with a help of iterative modes. The Simulation results show that efficient energy reduction is verified by applying energy saving schemes. Index Terms— Energy consumption scheme, reply time, AAB,EGCM

    GLOBAL MAXIMUM POWER POINT TRACKING UNDER PARTIAL SHADING CONDITION USING MODIFIED SEPIC CONVERTER

    By G.Kalavathy1 , B.Paranthagan2 and M.Marimuthu3

    Abstract

    Tracking of maximum power point (MPP) is an inevitable part of a system of energy conversion using photovoltaic (PV) array. Under uniform solar irradiance the popular conventional maximum power point tracking algorithms are effective. However, under solar irradiance mismatching conditions (partially shaded conditions (PSCs)) defects the current-voltage and power-voltage characteristics of photovoltaic system significantly. Especially partial shaded phenomenon affects the power-voltage characteristics because it contains multiple peaks and steps. So, the conventional tracking algorithms fails to guarantee successful tracking of the real MPP (Global Peak (GP)), and it tend to stay in local peak power point which considerably reduce the energy and efficiency of the PV system. In this paper, a new algorithm called improved hill climbing algorithm is used to track the global peak power from PV array under partially shaded condition and modified SEPIC converter is used as a DC-DC interface. The performance of proposed maximum power point tracking (MPPT) is analyzed and verified by simulations with the help of MATLAB/SIMULINK. Key words: Maximum power point tracking (MPPT), Hill climbing algorithm, Photovoltaic I-V characteristics, Global Maximum Power Point (GMPP)

    DESIGN AND DEVELOPMENT OF T-SHAPED ANTENNA FOR VARIOUS APPLICATIONS

    By S.Kannadhasan1 and A.C.Shagar 2

    Abstract

    This paper introduces a T Shaped antenna which is designed for tri-band operations for use in various wireless applications. With the development of many different wireless communication standards to design the antenna is an important role of communications. A suitable antenna design technique is as an important role in recent world for the wireless applications such as Global Positioning System (GPS), Worldwide Interoperability for Microwave Access (WIMAX) and Wireless Area Network Standards (WLAN). The antenna should have low profile, light weight and easy to fabricate for broadband characteristics. Also, it should have very good performances in impedance bandwidth, radiation efficiency, gain, return loss and electromagnetic interference. Various design parameters of the proposed tri-band antenna have also been analyzed for proper tri-band operations using slots. CST microwave studio simulation tool is used to obtain the radiation parameters of the proposed antenna. The antenna resonates at a frequency of 10 GHz with a bandwidth of 4500 MHz. A good return loss is obtained with rectangular shaped configuration. The proposed T shaped antenna is also found to operate at 2.65 GHz, 3.65 GHz and 4.65 GHz. Keywords: T-Shaped, Radiation Pattern, S Parameters

    FUEL COST MINIMIZATION FOR A THERMAL POWER PLANT USING PSO ALGORITHM

    By P.Induja1M.S.Kamalesh2 and N.Senthilnathan3

    Abstract

    This paper experiments the Particle Swarm Optimization (PSO) algorithm for solving the fuel cost of a thermal power plant. The PSO technique is easy to implement and it does not require more computation time. The objective is to minimize the fuel cost and it is obtained from the total power generated with respect to the proper load dispatch. So that the overall cost of the thermal power system operation can be reduced. Thermal power plant need to operate at the minimum cost for better profit, at the same time it should suit the load demand. The minimization includes various factors like total cost of the system, incremental cost of delivered power, etc. Power losses are evaluated for the simple test system. A MATLAB program was developed to solve the Economic load dispatch for a thermal plant with six-units by using PSO algorithm.

    PERFORMANCE ANALYSIS OF AREA SPECTRAL EFFICIENCY OF MASSIVE MIMO CELLULAR SYSTEM

    By J.Roscia Jeya Shiney1 and K.Nivetha2

    Abstract

    In the wireless world, 5G is one of the emerging technologies. Massive Multiple Input Multiple Output (MIMO) technology used in 5G wireless communication where high frequency signals are used. Massive MIMO is an antenna array system using massive amount of antennas. Extra antennas help by focusing the transmission and reception of signal energy into ever-smaller regions of space. Though many techniques are used for 5G, massive MIMO gives good performance measures. Spectral Efficiency has been an important performance measure for mobile cellular systems. This work concentrates on area spectral efficiency (ASE) for uplink multi-cell multi-user massive MIMO systems by using a uniformly distributed user location model. This work presents the analysis of area spectral efficiency and some system parameters such as the number of base station antennas, the number of users and pilot-to-data power ratio of the massive MIMO cellular system. The area spectral efficiency is achieved for different path loss models and by considering different SNR values. Key Words: Area Spectral Efficiency, Massive MIMO, Cellular System, 5G wireless communications, Multi-cell multi-user

    ANALYSIS OF SIGNAL ACIVITY DETECTION IN ACOUSTIC EMISSION

    By Anand, S. and K.Bharathi

    Abstract

    In recent years, the dynamic behavior of solid structure defects is extremely important as a small defect that is growing may well be more significant than a larger stable defect. Acoustic Emission (AE) is the method used to investigate the behavior of defects under stress. The importance of the AE is to determine the source location when it occurs. It is a real time monitoring technique. Identifying the actual sources of elastic waves during rapid local stress relaxation in solids under load is the major point in acoustic emission non-destructive testing, seismology and soon. This relies heavily on the accuracy of the arrival time detection process. Conventionally block thresholding technique is used to detect the Acoustic Emission, but accuracy is less in this method. The main focus of this work is to increase the accuracy of the real time signal detection and to verify actual phase picking transient waveforms of minimum amplitude, using novel wavelet transform based algorithm. This algorithm relies on the fact that noise commonly manifests itself as fine-grained structure in the signal, and Wavelet Transform (WT) provides a scale-based decomposition. This algorithm was evaluated in different types of acoustic emission tests, demonstrating the excellent temporal localization of the phases picked, even for the signals with minimum signal to noise ratio (SNR) and time of arrival (TOA) of the signal is detected exactly. This method is applied for different signals having different frequency sampling (Fs). In this work signal activity and time of arrival is determined using wavelet transform and block thresholding method. The results are obtained for signal activity and time of arrival for both techniques. From these results the accuracy is high for wavelet transform method when compared to block thresholding algorithm. Comparing to block threshold algorithm the wavelet based approach is applied to the signals with low amplitude and low SNR. These results will be helpful to find whether the signal will intrusive or not. Keywords: Acoustic Emission (AE), Wavelet Transform, Time of Arrival (TOA), Signal to Noise Ratio (SNR).

    INTELLECTUAL LOCKER PROTECTION SYSTEM BASED ON OPENCV AND USER AUTHENTICATION USING ANDROID

    By Murugeswari, D., B. Malavika* , P. Maneesha and R. Sumitha

    Abstract

    In our day to day life, Security and Authentication of individuals is necessary, especially in Bank lockers. But the security provided by bank systems has some backfalls. It has been enhanced by using techniques like pattern recognition comparing their existing traits and there is still a need for considerable computer vision. In this system a new approach is proposed for banking system. At first pattern flow are collected as data sets and maintained in bank agent server. The machine is attached with a camera to capture the pattern flow of user and sent for processing features of the user is recognized by comparison. Along with the authentication of user there is another system to identify the user before that RFID tag checking . Password entry through mobile phone is needed for next level of security. This can be done by using Bluetooth and also authentication is checked by verification through IMEI number. Finally when all levels of security is finished , the locker is opened for the user and the information is passed to the bank manager. Temperature and vibration sensors are used to find thief entry inside the bank. This project shows that all the bank accounts can be accessed using cards through this pattern recognition effectively and safely. KEYWORDS: Security,Authentication,OpenCV,WirelessCommunication,RFIDtags.

    RELIABILITY AND SECURITY CONSTRAINED UNIT COMMITMENT PROBLEM FOR HYBRID POWER SYSTEM USING BI-LEVEL OPTIMIZATION TECHNIQUE

    By 1Banumalar. K., 1Manikandan B. V. and 2Chandrasekaran.K.

    Abstract

    In this paper, hybrid nodal ant colony optimization (NACO) and real coded clustered gravitational search algorithm (CGSA) has been proposed for solving wind integrated thermal unit commitment problem. The reliability of the system will affected by high wind penetration. Hence, NACO-CGSA hybrid approach has been proposed for solving the reliability based security-constrained unit commitment (RSCUC) problem. NACO solves reliability constrained unit commitment (RCUC) problem and real coded CGSA solves security constrained economic dispatch (SCED) problem. The proposed method is implemented and tested using MATLAB programming. The feasibility and effectiveness of the proposed method is verified by IEEE Six bus system and the results are compared with those of other methods reported in literatures. Index Terms: Bi-level optimization techniques, Nodal ant colony optimization, Reliability and security constrained unit commitment, clustered gravitational search algorithm, Security constrained economic dispatch, Transmission constraints.

    AUTOMATIC USER MISBEHAVIOR DETECTION IN CREDIT CARD TRANSACTION

    By A. Pavan Kumar1 , Y. Akhil Kumar Reddy2 and B. Ankayarkanni3

    Abstract

    In recent years the data mining technique is implemented but the Big Data concept is emerging. Data Mining can process only structured data only. So there is no proper function to extract useful information from instructed data and it is very less effective. The fundamental challenge for Big Data applications is to explore large amounts of data and extract useful information for future action. By this there is no security for the credit card usage. In this paper, we will discuss about the misbehavior of credit card using the big data. So now the user credit card details (mobile number etc.) and all the credit card transactions will be stored in the server and it will also analyze time to time. Now the credit card user sets a range of transaction like amount and frequency in particular amount and time. So when the user crosses the range of transaction then an OTP will be generated to the user mobile. By there will be more safety for users in case of misuse of credit card in case it is lost or stolen by someone and this process is also more effective. Keywords—range of transaction, OTP, big data.

    DATA LOGGER FOR A MINIATURE MODEL CAR USING CAN BUS

    By 1S.Sreevatsan, 2Adithya Shankaranarayanan, 3T. Vishwanthan, 4L E Aravindraj, 5E Santhosh Kumar and 6K P Peeyush

    Abstract

    In this paper we propose an application of data logger. We take data from sensors attached in a model car and store it in an SD card. We are using CAN bus to communicate between microcontroller. We stored the data of accelerometer, brake and crash. The data is stored in the form of .txt file so that it can be used in the future easily. The data is updated for every 1 second.

    TUMOR DETECTION IN MEDICAL IMAGES USING SELF ORGANIZING MAP

    By " B.Jyothi1 , Y.MadhaveeLatha2 and P.G.Krishna Mohan3 "

    Abstract

    Boundary is very commonly defined as line that distinguishes two different regions. Boundary provides clarity to human eye in understanding any view. It plays a major role in Medical field, as finding the correct boundary in noisy images is still a difficult task. This paper introduces the new technique of detection using the information of intensity and texture of an image. Our proposed technique detects the boundaries of objects in noisy images using the information from the intensity gradient via the vector image model and the texture gradient via the edge map. we discuss the proposed technique on various medical images using Self organizing map (SOM) clustering provides correct boundaries even in an ill-defined images and multi grey level images. This method is robust and applicable on various kinds of noisy images without prior knowledge of noise properties

    MAGNETIC RESONANCE IMAGING: A SYSTEMATIC REVIEW

    By 1Roshini T V. and 2K. Subramaniam

    Abstract

    MRI (Magnetic Resonance Imaging) scanners has major role in diagnosing complex diseases. Super conducting magnet was one of the essential parts in MRI scanner, which dissipates heat while in running condition. So an external cooling system has been used to cool the superconducting magnet. In existing case liquid helium was used as the cooling agent for cooling the super conducting magnet. However the cost of liquid helium was high and it is very difficult to handle because it is effortlessly exposable. In this paper we propose a cooling system for MRI scanner based on LASER Technology. Laser Cooling System (LCS) is a resonant technology used for cooling an object to an absolutely quite low temperature by around 40kelvin. The proposed cooling system for MRI scanner using laser provide optimal cooling and reduce cost and handling complexity. Keywords: Magnetic Resonance Imaging (MRI), Super conducting magnet, MRI cooling system, Laser Cooling System (LCS), LASER, Doppler Effect

    THERMO ELECTRIC POWER GENERATION USING HEAT FROM EXHAUST GAS – A RECENT REVIEW

    By P. Sai Chaitanya1, T.V.S. Siva2, and B. Suneela Rani3

    Abstract

    Today world is under pressure to produce energy that would affect environment to a minimum level. As it is aware that world is under energy crisis, so there is a need for development of a novel technology to generate energy that would affect environment to a minimum level. One such novel technology would be thermo electric power generation. This paper aims to review the possibilities of generating power using Thermo Electric Generator (TEG). Through this review it can be concluded that thermo electric generators can be used in automobiles to generate power effectively for different systems. The best part of thermo electric generator is that exhaust gas heat can be utilized to generate power. Keywords – Automobiles, Energy Crisis, Exhaust gas heat, Novel technology, Thermo Electric Generator

    COMPARISON OF TIME-BASED AND SMAC PROTOCOLS IN FLAT GRID WIRELESS SENSOR NETWORKS VER VARYING TRAFFIC DENSITY

    By Jobin Varghese1 and K. Nisha Menon2

    Abstract

    Wireless Sensor Networks (WSNs) are the networks of sensor nodes that are connected by a wireless channel. Sensors are usually deployed in an ad hoc fashion, resulting in self organized topology. Performances of WSNs are highly related to the Medium Access Layer (MAC) mechanism. These sensor MAC schemes are different from traditional wireless MAC such as IEEE 802.11. In literature there are many protocols available for WSNs but SMAC is one of the most popularly and commonly used protocol for WSNs. This paper provides comprehensive performance analysis of the existing S-MAC protocol and Time-Based protocol (TDMA) used in WSNs. The paper presents a comparison of the performance of SMAC and TDMA on flat grid topology with a single sensor node as the sink. Here multi-hop transmission is considered and reveals fundamental tradeoffs on throughput, energy and latency. Simulation is done using NS2. Simulation result shows that TDMA has more energy savings, less latency and high throughput when compared with SMAC.

    ENHANCEMENT OFMAMMOGRAM IMAGES EFFECTIVELY USING DOUBLE FILTERING TECHNIQUE

    By G.R.Jothilakshmi1 and E.Gopinathan2

    Abstract

    Breast cancer is the most common death causing cancer among women. Mammograms are used as a best screening tool to detect early breast cancer and processing of these images requires high computational capabilities.Due to ill-performance of X-ray hardware systems, mammographic images are generally noisy with poor radiographic resolution. This leads to improper visualization of lesion detail. Mammogram enhancementis an important preprocessing technique for identifying mass and micro-calcification. Non-linear filters are generally preferred for image enhancement applications as they provide better filtering results not only by suppressing background noise but also preserving the edges. In this paper, a mammogram image which is affected by salt and pepper noise is considered.The proposed method presents a combination of Adaptive Volterra filter withany one of existing filters like mean,median, min-max may be used for contrast enhancement of mammograms. For comparison, mammogram which is corrupted by Gaussian, Poisson and white noise is considered.These noises are eliminated using four combination of filters and the performance of filters is evaluated by calculating peak signal to noise ratio (PSNR) and Mean square error(MSE). Key words: Adaptive Volterra filter, Peak signal to noise ratio (PSNR) and Mean square error(MSE), Digital mammogram.

    SOFTWARE BASED TESTING OF MICROCONTROLLER USING REAL TIME OPERATING SYSTEM

    By V.Prabhu* and K.T.Ilayaraja

    Abstract

    Microcontrollers have made their way into embedded applications such as automobile electronics, industrial automation and peripherals for computer systems. For the microcontroller to perform efficiently it is necessary for a test engineer to check the proper operation of a product. Manufacturing test is one of the most difficult tasks in the semiconductor industry. This paper presents a novel approach for testing a microcontroller with software based tests using RTOS (Real Time Operating System). The methodology exploits existing manufacturing test programs designed for software based self test and enhances them by using a new approach with RTOS. Experimental results are reported in this paper showing the reliability and effectiveness of the method in detecting faults in a microcontroller.

    CONTROL OF VAMPIRE BASED DISEASES IN SLUM AREA SURROUNDED BY COOVAM RIVER AT CHENNAI

    By R. Kings Krishna NagarajaSingh 1 and S.RajeshKumar

    Abstract

    In the recent survey report of Chennai Corporation encountering twin problem of mosquito menace and mosquito borne disease like malaria and dengue. Between these public health issues, the problem of mosquito menace is realized more by the people of Chennai then the disease. The chief source for mosquito menace in Chennai is water ways an d storm water drains (Koovam). Nowadays the Mosquitoes are a big menace to humankind and these are present in every corner of the world. The mosquitoes are pestilent and it can spread diseases also. The best way to destroy mosquito is electronic killing using Swatter. It used to keep away from the use of toxic chemicals. The mosquito coils and liquids do not kill mosquito but they repel them only. When the chemical disappears from the atmosphere the mosquitoes will return back. The swatter we designed is meant for destroy the mosquito and not for repelling. Since each mosquito lays thousands of eggs, destroying a mosquito equals to destroying thousands of mosquitoes. Mosquitoes are Crepuscular (Twilight active- Evening and early morning) and they show mass migration in places where human beings are located. Based on survey reports most of the mosquito has feeble flying ability, so that they capable of flying only 10-20 meters distance and also up to a height of 20-25 meters. Mosquitoes usually fly above the ground level around 2-3 feet. That is why we get more mosquito bites in the legs.In our project initially we have a plan to build the swatter in each window and around stagnant water of our house. The swatter gets supply from battery which in turn charged with the help of solar panel or it gets supply from Main. The microcontroller will decide when to switch on / off the swatter and also it monitors the charge and discharge level of battery and also it close the window automatically during rainy time. Also we have the plan to implement the same in Koovam River {Chennai} just by building fence at the side of river at a height of about 4 meter.

    EXPERIMENTAL AND THEORETICAL STUDY ON EFFICIENCY OF PORTABLE MINI SOLAR POND USING DISSIMILAR SALTS

    By Sathish, D.1 , T.R.Sathish Kumar2 and S. Jegadheeswaran3

    Abstract

    Solar energy was used from the ancient period itself. Solar energy can be entrapped by a number of ways but most prominent way by using solar pond. Solar pond has four types this paper deals with non convective salinity gradient solar pond. Solar thermal energy generated by a salinity gradient solar pond (SGSP) is one of the significant promising techniques for providing heat for desalination and other applications. Most commonly used salt is sodium chloride, but in this research, table salt which is having the similar properties like sodium chloride is used. A pond was located at 11°N walls were inclined at 45° to the horizontal. The pond was built of mild steel (1.6 mm thick) with a trapezoid surface area and with total depth of 1.7 m2 and 500 mm. The pond was insulated by 20 mm, 2mm thick of thermo styrene and High Density Polyethylene sheet.

    MEDICAL IMAGE FUSION USING STATIONARY WAVELET TRANSFORM WITH DIFFERENT WAVELET FAMILIES

    By R.Asokan1 , T.C.Kalaiselvi2 and M.Tamilarasi3 ,

    Abstract

    The Medical image fusion restrain the complementary and significant information from multiple source images that used for identify the diseases and better treatment. Image fusion has become vital part of medical diagnosis. This paper presents a comparative study of wavelet families along with its performance analysis. Magnetic Resonance Imaging (MRI) is used to fuse which form a contemporary image so as to improve the complementary and redundant information for diagnosis function. The proposed method of Stationary Wavelet Transform (SWT) with Fusion using Principle Component Analysis (PCA)are employed along with its analysis both Qualitative and Quantitative Analysis methods. Quantitative Analysis of experimental results are evaluated by way of performance metrics like peak signal to noise ratio (PSNR), Entropy (E), Standard deviation(SD)and Image Quality Assessment(Q).Assessment of different wavelet family techniques concludes the better approach for its upcoming research.

    "IDENTIFYING RATING AND REVIEW BASED RANKING FRAUD IN MOBILE APP MARKET "

    By "Uthra, K1 and R. Dhanalakshmi2"

    Abstract

    "Nowadays ranking fraud in mobile App market became more popular in the market in order to display their apps in the popularity list and to boost their sales.As the applications increase the fraud is also increasing. Therefore, there will be an increase in ranking fraud in the upcoming time, as the number of Apps developers and applications will likely grow very significantly. Many traditional methods of fraud analysis have been used to detect fraud. But these methods are complex and time-consuming. However, there is more need to adopt some better techniques which can ensure the ranking fraud detection efficiently by data mining analysis. This paper explores the data mining methods to identify the fraud by using Rank Aggregation algorithm. Further three types of proofs are studied they are ranking, rating and user comment proofs. And an aggregation method is used to aggregate all the proofs and will produce an optimized report for fraud detection."


    Pak. J. Biotechnol. Vol. 13 (special issue) 2016

    Published Paper of

    3rd International Conference on Innovations in information Embedded and Communication Systems (ICIIECS’16) held on March 17-18, 2016, Coimbatore, Tamil Nadu, India

    Articles reviewed and Plagiarism checked under the supervision of

    Guest Editor, Pak. J. Biotechnol.

    and

    Organizing Secretary of conference

    Dr. B. Nagaraj

    M.E,Ph.D,MIEEE

    INSTITUTION SYSTEM ANALYSIS BY USING SIMILARITY BASED CLUSTERING ON SOCIAL NETWORK ACCESS

    By Vinothan Damodaran and Saravanan, M

    Abstract

    The SNA (social network analysis), branch of difficult systems can be utilized in the construction of multi-agent systems. This paper proposes a Institutional system using SNA network analysis which can assist in modeling multi-agent systems, when addressing similarities and differences among the two theories. We fabricated a model of multi-agent systems for determination of errands through the development of groups of agents that are shaped on the social's premise system built up between agents. Agents make utilization of execution pointers to survey when ought to change their social network to expand the support in groups. There are two issues on that we tend to focus during this paper. the primary one is to seek out the intrinsic institution network structure and other is to check funding policies within the previous years and search for the optimum policy. So, to overcome on this issue, we proposed the similarity based clustering for categorize the institution dataset, and this procedure utilizes a multi-agent system, it is constructed on agent interactions. As well as searching for feasibleassociation between student performance and funding policies. After cluster the datasets, then it’s stored into Databases based on highest similarity. Also in this system mainly focuses to user (i.e. student, teacher, others) etc. retrieves the top most order institution from the DB. At last, Institution will know the quality of their colleges, when compared to other Institution of highest similarity of Institution.