International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control EngineeringA monthly Peer-reviewed & Refereed journal
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
On Doppler Sensitivity of Transmission Waveforms for Active Sonar Detection
C. K. Sunith
DOI: 10.17148/IJIREEICE.2017.5101
Abstract: The development of an active sonar system requires information on the desired properties of the waveforms transmitted by the system. This article is based on MATLAB simulations and explores the Doppler sensitivity characteristics of various existing and proposed waveforms for underwater active sonar applications. As many as seven different waveforms were compared for Doppler sensitivities based on their matched filter responses.
Identification and Detection of Partial Discharge and Electrical Breakdown within a Cavity by using Wavelet Transform under AC Condition
R.S. Pote, V.N. Gohokar, D.G. Wakde
DOI: 10.17148/IJIREEICE.2017.5102
Abstract: In high voltage system, the measurement of partial discharge (PD) is used in the assessment of an insulation system. Through modelling the PD process, a better understanding of the phenomenon may be evaluated. In this paper, a model for a cavity within a dielectric material has been developed and tested by using MATLAB environment. The model has been used to study the effect of various applied voltages on the cavity. The measurements were performed for different amplitudes of the applied voltage. The measured results show that PD is strongly influenced by various conditions such as applied voltages, frequencies and the type of the cavity. The cycle to cycle behavior of PD events, discharge phase and magnitude distributions, numbers of PDs per cycle, total charge magnitude per cycle for each set have been obtained and analyzed. The test results from the PD model have been studied and analyzed. It is found that certain model parameters are dependent on the applied voltage, frequencies and cavity conditions. Parameters that clearly affect PD activity can be readily identified.
Abstract: For study of brain tumor detection and segmentation the MRI Images is very useful in recent years. Due to MRI Images we can detect the brain tumor. For detection of unusual growth of tissues and blocks of blood in nervous system can be seen in an MRI Images. The first step of detection of brain tumor is to check the symmetric and asymmetric Shape of brain which will define the abnormality. After this step the next step is segmentation which is based on two techniques 1) F-Transform (Fuzzy Transform) 2) Morphological operation. These two techniques are used to design the image in MRI. Now by this help of design we can detect the boundaries of brain tumor and calculate the actual area of tumor. In this the f-transform is used to give the certain information like rebuilt of missing edges and extracting the silent edges. Accuracy and clarity in an MRI Images is dependent on each other.
Study on Homomorphic Linear Authenticator in Wireless Ad Hoc Networks
Kapil M. Patel, Sushant S. Bahekar
DOI: 10.17148/IJIREEICE.2017.5104
Abstract: In wireless ad hoc network, there are two sources for packet loss i.e. link errors and malicious packet dropping. It is important to determine whether the losses are caused by link errors only, or by combined effect of link errors and malicious drop. Here, we are especially interested in the insider attacker case where malicious nodes drops packet selectively to degrade the network performance. Packet dropping rate in the insider attack case is nearly equal to normal link error because of which existing algorithms cannot find the exact reason of packet loss. We are going to find the correlation between lost packets and to ensure that these correlations are accurate we are going to use Homomorphic Linear Authenticator (HLA) based public auditing mechanism. The HLA architecture is privacy preserving and collusion proof.
Keywords: Packet loss, Truthful detection, Homomorphic Linear Authenticator, Cryptography.
Design and Analysis of Grid Connected Transformerless Solar Inverter
Rajesh
DOI: 10.17148/IJIREEICE.2017.5105
Abstract: The design of Transformerless converter concept is developed extensively for the increasing of the efficiency and reliability of the electrical systems which in-turn reduces the major power losses. Consider the conventional inverter where the power from the DC source is initially inverter and then the inverted voltage is boosted using low frequency power transformer. The use of the low frequency transformer increases the cost and size of the system which also increases considerable amount of power loss hence, the necessity of development of a low cost lossless power technology has generated. In photovoltaic applications, transformerless power converter technology is in trend where in, the system is developed such that the output of the solar panel is connected to a single power electronic module which generates the desired output. The modified boost converter uses a couple of inductors at the input side to produce ripple free current without utilization of LC filters. The performance of the modified boost converter has been increased positively with high power conversion capability. The Transformerless grid synchronized photovoltaic system with conventional voltage source inverter may cause electrical safety issue of ground leakage current which is generated using the presence of parasitic capacitance photovoltaic modules and is eliminated using the implementation of bipolar SPWM technology for voltage source inverter. The proposed system is designed and simulated using PSIM.
Keywords: Transformer less inverter, step-up DC-DC converter, low ground-leakage current, power converter efficiency.
M. A. A. Younis, Abir A. Al-Moqbali, Omirah H. Al-Quraini, Sheikha A. Al-Fazari, Sumaiya S. Al-Mamari
DOI: 10.17148/IJIREEICE.2017.5106
Abstract: This paper presents design of Brushless DC motor (BLDC) driver for electrical. The drive system includes converter to produce the required voltage for BLDC. Hall Effect sensor is needed to decide on the position of the permanent magnet to match it with the right BLDC coil. The Hall Effect sensors are displaced by 120o which will produce voltage signals on the output displaces by the same phase shift. The generation of converter switching signals depends on the signals supplied by Hall Effect sensor for synchronization. Simulink software is used to verify the design validity by running several tests on the system operation. The simulation result is shown to validity verification.
Keywords: Brushless DC motor; Three phase inverter; inverter switching, Simulink.
Cascade H-Bridge Multilevel Inverter Fed Induction Motor Drive
Prarthana Nagl, C.S. Sharma, Manoj Hirani, S. Phulambrikar
DOI: 10.17148/IJIREEICE.2017.5107
Abstract: Here in the proposed work the main focus is done on FFT analysis of output voltage of cascade H-bridge multilevel inverter employing selective harmonic elimination method. In selective harmonic elimination, a particular order of harmonic is selected and based on it, width of pulse is decided so that output voltage will be free from that harmonic[1]. Also focus is done on improving the efficiency of the multilevel inverter and quality of output voltage waveform. Selective Harmonics Elimination method is used to reduce the Total Harmonics Distortion (THD) value and to eliminate the lower order harmonics[2]. This topology is suitable for any number of levels. It reduces cost and complexity hence it is opt for industrial applications. In this paper fifth and seventh harmonics have been eliminated. Simulation work is done using the MATLAB software and experimental results have been presented to validate the theory.
Performance Evaluation of Network Aggregation Techniques in VANET
Pankaj Kumar, Chakshu Goel, Inderjeet Singh Gill
DOI: 10.17148/IJIREEICE.2017.5108
Abstract: Network aggregation mechanism for vehicular ad hoc networks (VANETs) aims at improving communication efficiency by summarizing information that is exchanged between vehicles. Summaries are calculated, while data items are generated in and forwarded through the network. Due to this vehicular networks are special types of VANET that support diverse infrastructure-based commercial services including internet access, real-time traffic management, video streaming, and content distribution. The success of network acquisition and delivery system depends on their ability to defend against the different types of security and privacy attacks that exist in VANETs. In this research work different protocols like AODV, Q-Learning approach and cryptographic approach that being used in VANET have been studied and their performance has been then evaluated by providing a real time environment on NS2.
Keywords: VANET, Roadside Units, Security, Network Aggregation, ad hoc Network.
Abstract: Technology in day to day life is developing with very high speed and many new branches have been originated from the wireless sensor networks. The VANET is also a branch of the Wireless Sensor Networks. In VANET the information is shared between nodes through wireless communication network. As security is an essential issue in WSN, any successful attack can cause a great harm or threat for drivers as well as passengers. It can decrease the speed of the whole network and may put a great impact on the performance of the network. Routing between the moving vehicles is very challenging and quite interesting task. In this research work , the performance evaluation of the GPSR (Greedy Perimeter Stateless Routing) which is very popular Position Based Routing (PBR) in VANET is done by comparing it with other routing techniques i.e. VSRP (Vehicular Security through Reputation and Plausibility Checks) technique and the proposed improved Reputation and Plausibility Checks technique using Route table. In proposed technique, the dataflow route table is used to improve the results of its counterpart technique (VSRP) using the speed, direction and the orientation of the neighbouring vehicles. The comparison between the results of all the three techniques is done and it is concluded that the results of proposed technique are better than VSRP with the same conditions and parameters.
Keywords: Greedy Perimeter Stateless Routing (GPSR), Position Based Routing (PBR), Vehicular Security through Reputation and Plausibility Checks (VSRP), VANET and NS2.
A System to Filter Unwanted Messages from Social Network User Walls
Sheetal M. Rajput, Nilima P. Patil
DOI: 10.17148/IJIREEICE.2017.5110
Abstract: Social Network is one of the most popular interactive medium to share, communicate and distribute information. It is the platform to build social relations among people. Users have ability to keep in touch with friends by exchanging different types of information or messages. Sometimes people post messages which may cause a serious problem to userβs reputation. There is one fundamental issue in Social Network is to give users ability to control the messages posted on their own private space. To avoid the problem of unwanted messages, the proposed system called filter wall able to filter messages from user walls. In order to make social network user wall a secured wall, introducing a rule based system wall as well as Machine Learning approach, neural text classification applied on user wall.
Keywords: On-line Social Networks, Filtered Wall, Machine Learning, Short Text Classifier.
A Review: Design of Active Power Filters using Soft Computing Techniques
Jyoti Singh Rathore, Archana Gupta
DOI: 10.17148/IJIREEICE.2017.5111
Abstract: Electrical power quality determines the fitness of a system. Major power quality issues nowadays are harmonics and reactive power. Non-linear loads are the main cause of introduction of harmonics in the system. To mitigate these harmonics, suitable filters are needed to be introduced in the system. Active power filter provides an effective and adjustable solution to eliminate harmonic current and compensate reactive power in an electrical power system. Its performance depends on the strategies employed and the type of controller being used in reference current generation. This paper presents a survey on using soft computing techniques and application of different control strategies in active power filter.
Keywords: Shunt active power filter (SAPF), voltage source inverter(VSI), PI controller, PID controller, fuzzy logic controller, PSO, control strategies.
Implementation of Bidirectional LLC Resonant Converter for RES with Automatic Transition
Ajith Kumar N, Dhanalakshmi R
DOI: 10.17148/IJIREEICE.2017.5112
Abstract: This paper presents the hardware implementation of the bidirectional LLC resonant converter used for renewable energy sources and energy storage systems with automatic mode transition. Out of the various bi-directional DC-DC converters, LLC resonant converters have gained an immense interest due its simple structure, buck/boost operation capability and narrow switching frequency variation range and higher efficiency than other converters. With this proposed new bi-directional LLC resonant dc-dc converter, the power flow direction and output power of the proposed converter can be changed automatically and continuously, which is attractive for energy storage systems to keep the dc-bus voltage constant and to keep the balance of energy. The desired characteristics of the proposed topology will obtained and analyzed. The analysis of the proposed Power flow converters for Distributed Generation with automatic bidirectional Transition will be carried out using MATLAB simulation package and the results will be verified by the construction of prototype model.
Keywords: Distributed Generation (DG), Renewable energy sources (RES), Energy storage systems, LLC resonant converter &automatic transition.
Facial Skin Smoothening by Iterative Steering Kernel Regression Technique
Ms. Priyanka Mehra, Prof. A. S. Deshpande
DOI: 10.17148/IJIREEICE.2017.5113
Abstract: The paper enhanced the facial skin using iterative steering kernel regression which is based on edge preserving energy minimization. The region-aware mask allows the user to beautify faces with three major skins attributes homogeneity, lighting, and color. The main aim of this paper is to beautify the skin by decomposition into the three layers using edge preserving filter. After layer decomposition a facial landmarks and significant features extracted from the database to generate the mask into three different layers which allow the user to perform facial beautification simply by adjusting its skin parameter. The combination of these parameters can be optimized automatically it depend on the data base or knowledge base. The experiment result shows that the image is enhanced more as compare to the original image. After three region-aware masks have been obtained, a user can perform facial beautification simply by adjusting the skin parameters. Result of proposed method will be compared with the existing methods in terms of Peak Signal to noise ratio (PSNR) and Mean Square Error (MSE).
Keywords: Feature Extraction, Facial Beautification, Edge Preserving Energy Minimization, Adaptive Edge Preserving Energy Minimization, Iterative steering Kernel Regression.
Improving Reliability of Distribution System by Optimum Placement of DGs
Tanaya D. Gulhane, Prof. Ganesh Mhatre
DOI: 10.17148/IJIREEICE.2017.5114
Abstract: In the emerging power systems Distributed Generators (DGs) are expected to play a vital role as it has a great impact on the operation and planning of distribution network. Installing the DG at optimum location enhances the system performance and improves the reliability. In this paper a method is proposed for finding the optimal location of DGs with their optimum numbers and a goal to maximize reliability of system, reduce the total power loss while improving the voltage profile of the system for different load conditions using Particle Swarm Optimization (PSO) and Neural Network (NN) to fix DGs and evaluate the amount of power to be generated.
Smart Garbage Monitoring System using Internet of Things (IOT)
Prof. Dr. Sandeep M. Chaware, Shriram Dighe, Akshay Joshi, Namrata Bajare, Rohini Korke
DOI: 10.17148/IJIREEICE.2017.5115
Abstract: The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. One of the main concerns with our environment has been solid waste management which in addition to disturbing the balance of the environment also has adverse effects on the health of the society. The detection, monitoring and management of wastes is one of the primary problems of the present era. The traditional way of manually monitoring the wastes in waste bins is a complex, cumbersome process and utilizes more human effort, time and cost which is not compatible with the present day technologies in any way. This an advanced method in which waste management is automated. This project IoT Garbage Monitoring system is a very innovative system which will help to keep the cities clean. This system monitors the garbage bins and informs about the level of garbage collected in the garbage bins via a web page. This web page also send all information to garbage collection vehicles.
Mitigation of Unbalanced Voltage Sag by using Custom Power Devices
Miss Manjusha D. Hedau, Mr. Harish D. Mude, Miss Pallavi V. Pullawar
DOI: 10.17148/IJIREEICE.2017.5116
Abstract: Unbalanced Voltage sag is literally one of power quality problem and it become severe to industrial customers. Voltage sag can cause miss operation to several electronic equipments. That problem can be mitigating with voltage injection method using custom power device, Dynamic Voltage Restorer (DVR). This paper presents modelling and analysis of a DVR using Matlab/Simulink. The performance of the DVR depends on the efficiency of the control technique involved in switching the inverter. This paper proposed two control techniques which is PI Controller (PI) and Fuzzy Logic Controller (FL) kalman filter. Comprehensive results are presented to assess the performance of each controller as the best power quality solution. Other factors that also can affect the performance and capability of DVR are presented as well.
Keywords: Voltage sag; Dynamic Voltage Restore; Pulse Width Modulation (PWM); PI Controller; Fuzzy Logic Controller Unbalanced voltage sag, Kalman filter.