Analysis of Co-Authorship Network of Scientists Working on Topic of Network Theory
Abstract:

Authors: Manu Kohli, Saurabh Jain

File Name: Manu_51100-17-102.pdf
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Detection and Classification of Transmission Lines Faults using FFT and K-Nearest Neighbour Classifier
Abstract: This paper presents a strategy for identifying the fault and its classification, in an electrical power distribution system. The strategy is based on a very simple technique, known as the k nearest neighbours (KNN), which simply estimates a distance between the characteristics that describe the data to be classified. When a new datum is presented to the proposed algorithm, it is classified with the same type of the example that is determined to be the closest one. For the creation of the mathematical model it is essential to have a database. The database consists of input data and output data, the input data are the detail coefficients obtained from the decomposition of the current and voltage signals using the Fourier Transform. Meanwhile, the output data are the labels assigned and with which the model can identify and classify the different types of faults. Both current signals and voltage signals are generated based on an extensive simulation of faults along the longest transmission line that has a test system.

Authors: Nilesh S.Wani, Dr. R. P. Singh, Dr. M. U. Nemade

File Name: Nilesh_68000-18-102.pdf
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Energy Efficient Clustering Algorithm for Indoor Wireless Sensor Networks using Grey Wolf Optimization
Abstract:

Authors: Bhavna Pandole, Amit Thakur

File Name: Bhavna_62000-17-108.pdf
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Block Diagonalization Precoding using Genetic Algorithm for Multi-User MIMO System in Nakagami Channel
Abstract: Diversity in MIMO applications tends to ameliorate the architecture of system for compensation with upgraded hardware and software requirements. Single-user MIMO systems allow one user to be serviced per transmission interval. This maximizes the throughput of a single user, but its disadvantage is that it does not take advantage of multi-user diversity. Multi-user MIMO systems (MU-MIMO) have become the main technique for meeting the requirements. This paper presents Block Diagonalization and genetically optimized Block Diagonalization precoding for multi user MIMO system in Nakagami Fading Channel to reduce error rate in system. Both the method reduces the error probability efficiently as shown in results, to enhance the performance of system. The optimization of Block Diagonalization process using genetic algorithm is proposed in this paper and the results are showing that the proposed technique significantly improves the performance of Block Diagonalization method.

Authors: Garima Sogani, Praveen Patidar

File Name: Garima_62000-17-101.pdf
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Analysis of Multimodal of Biometric System
Abstract: A biometric authentication system uses the physiological characteristics (such as fingerprints, face, hand features, iris) and / or behavioural characteristics (such as voice, signature, walking, and writing) of an individual to identify their identity. There are many biometric methods of identifying individuals, the most used is through the fingerprint. This is why the purpose of the present titling work is to analyze the vulnerabilities of fingerprint based biometric recognition systems, since there are different attack techniques that allow access by means of the falsification of fingerprints. For this, a Systematic Review was developed using the IEEE, Science Direct and Google Scholar databases, finding, under certain criteria of inclusion and exclusion, scientific articles as well as of the work done, since, based on the protocol of Barbara Kitchenham, studies were obtained showing that There are ways to attack the different levels of processing of identification and verification of fingerprints, which will address software attack algorithms such as Hill - Climbing and Side - Channel which consist of the generation of pattern patterns for fingerprints Random fingerprints that are iteratively modified to achieve a desired similarity with respect to a real footprint in order to be accepted by a verification system.

Authors: Rahul C Bakshe

File Name: Rahul_68000-18-103.pdf
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Implementation of 5-level Flying Capacitor Multi Level Inverter
Abstract: This research work is for comparison of two different topologies of multi-level inverters (Diode clamped inverter and Flying capacitor clamped inverter). The multilevel inverter considered here is 5-level inverter. This comparison is done with respect to Total Harmonic Distortion (THD) only, i.e. the voltage and current harmonic contents both kind of topologies will be compared. For each inverter, IGBTs or MOSFETs can be used as switching devices to make the comparisons more accurate. The switches that are used for different inverters are the same for all of the inverters. Each inverter is controlled by the multi-carrier sinusoidal pulse width modulation (SPWM). The comparative results of the harmonic analysis have been obtained in MATLAB/SIMULINK.

Authors: Yamini Joshi, Manoj Gupta

File Name: Yamini_62000-17-107.pdf
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