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Über dieses Buch

This book constitutes the refereed proceedings of the Second International Conference on Advances in Power Electronics and Instrumentation Engineering, PEIE 2011, held at Nagpur, India, in April 2011. The 9 revised full papers presented together with 4 short papers and 7 poster papers were carefully reviewed and selected from numerous submissions. The papers address current issues in the field of power electronics, communication engineering, instrumentation engineering, digital electronics, electrical power engineering, electrical machines, information technology, control systems, and the like.



Full Paper

Bandwidth Enhancement of Stacked Microstrip Antennas Using Hexagonal Shape Multi-resonators

In this paper, wideband multilayer stacked resonators, combination of planner patches and stacked with defected ground plane in normal and inverted configuration are proposed and studied. Impedance and radiation characteristics are presented and discussed. From the results, it has been observed that the impedance bandwidth, defined by 10 dB return loss, can reach an operating bandwidth of 746 MHz with an average center operating frequency 2001 MHz, which is about 32 times that of conventional reference antenna. The gain of studied antenna is also observed with peak gain of about 9 dB.
Tapan Mandal, Santanu Das

Study of Probabilistic Neural Network and Feed Forward Back Propogation Neural Network for Identification of Characters in License Plate

The task of vehicle identification can be solved by vehicle license plate recognition. It can be used in many applications such as entrance admission, security, parking control, airport or harbor cargo control, road traffic control, speed control and so on. Different Neural Network for character identification like Probabilistic Neural Network and Feed-Forward Back-propagation Neural Network has been used and compared. This paper proposes the use of Sobel operator to identify the edges in the image and to extract the License plate. After extraction of license plate the characters are isolated and passed to character identification system. The method used to identify characters are Probabilistic Neural Network with 108 neurons which gives accuracy of 91.32%, Probabilistic Neural Network with 35 neurons which gives accuracy of 96.73% and Feed Forward Back Propagation Neural Network which gives accuracy of 96.73%.
Kemal Koche, Vijay Patil, Kiran Chaudhari

Efficient Minimization of Servo Lag Error in Adaptive Optics Using Data Stream Mining

Prediction of the wavefronts helps in reducing the servo lag error in adaptive optics caused by finite time delays (~ 1-5 ms) before wavefront correction. Piecewise linear segmentation based prediction is not suitable in cases where the turbulence statistics of the atmosphere are fluctuating. In this paper, we address this problem by real time control of the prediction parameters through the application of data stream mining on wavefront sensor data obtained in real-time. Numerical experiments suggest that pixel-wise prediction of phase screens and slope extrapolation techniques lead to similar improvement while modal prediction is sensitive to the number of moments used and can yield better results with optimum number of modes.
Akondi Vyas, M. B. Roopashree, B. Raghavendra Prasad

Soft Switching of Modified Half Bridge Fly-Back Converter

This paper presents soft switching of modified half bridge fly-back converter. The power switches in this converter are turned on at ZVS and the rectifier diode is turned on and off at ZCS. The auxiliary switch is turned off at ZCS. The voltage stress across the switch is equal to the supply voltage and soft switching is achieved for all the switching devices. Compared to half bridge fly-back converter, this modified circuit has improved efficiency. A 5V/2A prototype is implemented to verify the practical results.
Jini Jacob, V. Sathyanagakumar

A Novel Approach for Prevention of SQL Injection Attacks Using Cryptography and Access Control Policies

In this era of social and technological development, SQL injection attacks are one of the major securities in Web applications. They allow attackers to obtain an unrestricted and easy access to the databases to gain valuable information. Although many researchers have proposed various effective and useful methods to address the SQL injection problems, all the proposed approaches either fail to address the broader scope of the problem or have limitations that prevent their use and adoption or cannot be applied to some crucial scenarios. In this paper we propose a global solution to the SQL injection attacks by providing strong encryption techniques and policy based access control mechanism on the application information. We initially encrypt the message using an encryption engine in the server before we store the values into the database with Policy-based Access Control, data is stored in the encrypted form and while accessing it again we decrypt them and provide the data for the user in a secured manner with the control of policy based access.
K. Selvamani, A. Kannan

IMC Design Based Optimal Tuning of a PID-Filter Governor Controller for Hydro Power Plant

In the present paper a PID-Filter governor controller with Internal Model Control (IMC) tuning method for the hydro electric power plant is presented. The IMC has a single tuning parameter to adjust the performance and robustness of the controller. The proposed tuning method is very efficient in controlling the overshoot, stability and the dynamics of the speed-governing system of the hydro electric power plant supplying an isolated/grid connected load. The results of the proposed IMC tuning method have been compared in the midst of controller with singular frequency (SF) based tuning and Ziegler-Nichols (Z-N) closed loop tuning. A remarkable improvement in stability of the system has been observed with IMC tuning justifying its applicability. Simulated results given in the paper show the feasibility and versatility of the IMC tuning technique in hydro power plant.
Anil Naik Kanasottu, Srikanth Pullabhatla, Venkata Reddy Mettu

Thermal and Flicker Noise Modelling of a Double Gate MOSFET

The most promising device in the Nano scale range are based on multiple gate structures such as double- gate (DG) MOSFETs. These devices could be used for high frequency applications due to the significant increase of the transition frequency f T for these devices. For low noise radiofrequency applications, high frequency noise models are required. In this paper, compact channel noise models valid in all regions of operation for Double Gate (DG) MOSFETs have been developed and experimentally verified. Our compact channel noise model of a DG MOSFET includes the physics based expressions for thermal noise, flicker noise and the corner frequency. Using this model the DG MOSFET noise performances are studied.
S. Panda, M. Ray Kanjilal

Optimizing Resource Sharing in Cloud Computing

The cloud computing is the dynamic provisioning of IT capabilities such as hardware, software or services, from third parties over a network. Resource sharing in the cloud Computing environment is the major issues that limited application of the cloud computing. The problem of enabling effective peer-to-peer resource sharing in this types of networks the availability of a wireless infrastructure and broadcast nature of wireless communication. Which bring to the notions of location awareness and MAC layer cross-layering. Through extensive packet-level simulations, I have investigated the separate effects of location awareness and MAC layer cross-layering, the performance of the P2P application. The combined protocol Optimizing Resource Sharing In Cloud Computing (ORSCC), reduces message overhead of as much as 40 percent with respect to the existing design, while at the same time improving the information retrieval performance. Notably, differently from the existing design, our proposed ORSCC specialization displays information retrieval performance resilient to the presence of both CBR and TCP background traffic.
K. S. Arulmozhi, R. Karthikeyan, B. Chandra Mohan

Design of Controller for an Interline Power Flow Controller and Simulation in MATLAB

The Interline Power Flow Controller (IPFC) a concept for the compensation and effective power flow management of multi-line transmission systems. In its general form, the IPFC employs two or more number of inverters (VSI) with a common dc link, each to provide series compensation for a selected line of the transmission system. Because of the common dc link, any inverter within the IPFC is able to transfer real power to any other and thereby facilitate real power transfer among the lines of the transmission system. Since each inverter is also able to provide reactive power compensation, the IPFC is able to carry out an overall real and reactive power compensation of the total transmission system. This capability makes it possible to equalize both real and reactive power flow between the lines, transfer power from overloaded to under loaded lines, compensate against reactive voltage drops and the corresponding reactive line power, and to increase the effectiveness of the compensating system against dynamic disturbances. The paper explains the basic theory and operating characteristics of the IPFC with phasor diagrams, and simulated waveforms in MATLAB.
M. Venkateswara Reddy, Bishnu Prasad Muni, A. V. R. S. Sarma

Short Paper

Harmonics Reduction and Amplitude Boosting in Polyphase Inverter Using 60° PWM Technique

This paper deals with the reduction of harmonics & amplitude boosting in polyphase inverters using 60° PWM technique. Using 60° PWM technique total harmonic distortion of output voltage is greatly reduced when compared with 180° and 120° degree mode of conduction techniques. All the triple harmonics present in the output voltage is eliminated so that required filter size can be reduced. The amplitude of output voltage is also augmented as compared to SPWM technique. The results from a MATLAB simulation done for a polyphase inverter to obtain 3-Φ, 445V (peak), 50Hz sinusoidal supply using 60° PWM is used to substantiate this study.
Prabhat Mishra, Vivek Ramachandran

Face Recognition Using Gray Level Weight Matrix (GLWM)

Face detection is one of the few biometric methods that possess the merits of both high accuracy and low intrusiveness. It also has several applications in areas such as content-based image retrieval, video coding, video conferencing, crowd surveillance, and intelligent human–computer interfaces. The purpose of this study is to propose a novel statistical face recognition system with improved performance, based on Gray Level Weight Matrix (GLWM). The process involved in GLWM is an improved version of the Local Binary pattern technique. It has been found out through experiments that the proposed GLWM is more efficient in face recognition.
R. S. Sabeenian, M. E. Paramasivam, P. M. Dinesh

Location for Stability Enhancement in Power Systems Based on Voltage Stability Analysis and Contingency Ranking

In the last few years, voltage collapse problems in power systems have been of permanent concern for electric utilities: several major blackouts throughout the world have been directly associated to this phenomenon. Voltage instability is one phenomenon that could happen in power system due to its stressed condition. The result would be the occurrence of voltage collapse which leads to total blackout to the whole system Investigation and online monitoring of power system stability have become vital factors to electric utility suppliers. Suitable preventive control actions can be implemented considering contingencies that are likely to affect the power system performance. In this paper by conducting Voltage stability and Line outage Contingency analysis the suitable location for voltage stability enhancement in a 9 bus Test systems is determined.
C. Subramani, S. S. Dash, M. Arunbhaskar, M. Jagadeeshkumar, S. Harish Kiran

Reliable Barrier-Free Services (RBS) for Heterogeneous Next Generation Network

Next Generation Network (NGN) represents a fundamental paradigm shift in the wireless communication which uses packet switching instead of circuit switching. NGN is an architecture that provides seamless integration of both new and traditional telecommunication services across high-speed packet networks. Heterogeneous network (HN) is the group of network which integrated with wired, wireless and sensory network with internet connectivity. Combination of HN and NGN (HNGN) will offers highly reliable services at all situation. Implementing protocols such as TCP is much complicate in the heterogeneous network environment. The objective of this paper is providing an assured, reliable data transmission in the HNGN. Data transmission in HNGN renders ineffective communication due to barrier when implementing different network protocols. The proposed methodology, called Reliable Barrier-Free Services (RBS) optimizes the reliability of HNGN.
B. Chandra Mohan, R. Baskaran

Poster Paper

Power Factor Correction Based on RISC Controller

This paper presents a simulation study of a PFC controller and its implementation on a microcontroller. Modeling and Simulation for PFC is carried out on ORCAD, a prototype laboratory model based on a RISC (Reduced Instruction Set Controller) PIC 16F877 has been fabricated. This work aims to provide an exposure of microcontroller based design of controller relating to Power Electronics. Power Circuit based on IGBT and control circuit based on 16F877 is designed to perform the function of PFC. Simulation and experimental results are presented to exhibit the merits of the proposed scheme.
Pradeep Kumar, P. R. Sharma, Ashok Kumar

Customized NoC Topologies Construction for High Performance Communication Architectures

Different Intellectual Property (IP) cores, including processor and memory, are interconnected to build a typical System-on-Chip(SoC) architectures. Larger SoC designs dictate the data communication to happen over the global interconnects. Network-on-Chip (NoC) architectures have been proposed as a scalable solution to the global communication challenges in nanoscale Systemson- Chip (SoC) design. Hence to improve the performance of SoC, first we did a performance study of regular interconnect topologies MESH, TORUS, BFT and EBFT, we observed that the overall latency and throughput of the EBFT is better compared to other topologies. Our next objective is to generate an area and power optimized NoC topology, for this purpose we used Rectilinear-Steiner- Tree (RST)-based algorithms for generating efficient and optimized network topologies. Experimental results on a variety of NoC benchmarks showed that our synthesis results were achieve reduction in power consumption and average hop count over custom topology implementation.
P. Ezhumalai, A. Chilambuchelvan

Improving CPU Performance and Equalizing Power Consumption for Multicore Processors in Agent Based Process Scheduling

In a Multicore architecture, each package consists of large number of processors. This increase in processor core brings new evolution in parallel computing. Besides enormous performance enhancement, this multicore package injects lot of challenges and opportunities on the operating system scheduling point of view. We know that multiagent system is concerned with the development and analysis of optimization problems. In this paper we combine the AMAS theory of multiagent system with the scheduler of operating system to develop a new process scheduling algorithm for multicore architecture. This multiagent based scheduling algorithm promises in minimizing the average waiting time of the processes in the centralized queue, reduces the task of the scheduler and also increases cpu performance. Because of round robin scheduling, the power consumption for each processor can be equalized. We actually modified and simulated the linux 2.6.11 kernel process scheduler to incorporate the multiagent system concept. The comparison is made for different number of cores with multiple combinations of process and the results are shown for average waiting time Vs number of cores in the centralized queue and cpu performance Vs number of process and cores.
G. Muneeswari, K. L. Shunmuganathan

Wireless 3-D Gesture and Chaaracter Recoginition

A 3-d gesture recognition system can be used for a host of application including gesture base user interface, character recognition system, wireless human interface devices and virtual reality in 3d gaming. Human machine interaction has reached the point where machines are capable of interrupting gesture of human beings. The gestures are made by hand movement and facial expression. A gesture is detected and interrupted due to the movement of the hand and body. The data is wirelessly transmitted to the receiving station where for processing, some application.
Gaytri Gupta, Rahul Kumar Verma

Design of High Sensitivity SOI Piezoresistive MEMS Pressure Sensor

In this paper, the effect of the size of the piezoresistors that forms the Wheatstone bridge on sensitivity has been studied and reported. There are four resistors implanted on the diaphragm in such a way that two of them sense the tensile stress (Group I) and the other two senses the compressive stresses (Group II). The structure of this MEMS sensor has been created and analyzed using IntelliSuite MEMS CAD tool. The results show that the size of the group I resistors should be made as large as possible and that of group II should be made as small as possible to achieve maximum sensitivity. It is also illustrated that the size design of group II resistors is critical.
T. Pravin Raj, S. B. Burje, R. Joseph Daniel

Power Factor Correction in Wound Rotor Induction Motor Drive by Using Dynamic Capacitor

The paper proposes a novel method for improving performance of a Three Phase wound rotor induction motor using an indirect reactive current control scheme in the rotor. A 3 Φ VSI with a dynamic capacitor is connected in the rotor circuit for controlling the reactive current in the rotor. The dynamic capacitor is an H bridge switch with a capacitor in which the duty ratio of the Hbridge circuit is varied in order to change the capacitance value dynamically. The proposed technique is simulated in MATLAB 7.6 / Simulink environment. The result that obtained from the proposed method is compared with secondary impedance control scheme and the performance parameters such as the torque, power factor and efficiency are obtained.
G. Venkataratnam, K. Ramakrishna Prasad, S. Raghavendra

An Intelligent Intrusion Detection System for Mobile Ad-Hoc Networks Using Classification Techniques

This paper proposes an intelligent multi level classification technique for effective intrusion detection in Mobile Ad-hoc Networks. The algorithm uses a combination of a tree classifier which uses a labeled training data and an Enhanced Multiclass SVM algorithm. Moreover, an effective preprocessing technique has been proposed and implemented in this work in order to improve the detection accuracy and to reduce the processing time. From the experiments carried out in this work, it has been observed that significant improvement has been achieved in this model from the view point of both high detection rates as well as low false alarm rates.
S. Ganapathy, P. Yogesh, A. Kannan


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