Archive Browsing VOLUME 8 ISSUE 01 AUGUST 2019

A Novel Approach of Credit Card Fraud Detection using Random Forest Classifier

Authors: Anuja Yawar, Shivangi Chouhan, Brijesh Taunk

File Name: Anuja_80100-19-101.pdf
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Performance of SC-FDMA System with STBC Encoding and TPTS Technique through Rayleigh Fading Channel using BFPFO Algorithm

Authors: Rajni Raghuvanshi, Dr. Rakesh Kumar, Dr. Ravinder Khanna

File Name: Rajni_80100-19-102.pdf
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Energy Efficient Fuzzy Logic based Stable Election Protocol in Wireless Sensor Networks
Abstract: Wireless Sensor Networks (WSNs) are used to monitor/observe vast inaccessible regions through the deployment of a large number of sensor nodes in the sensing area. For the majority of WSN applications, the collected data needs to be combined with geographic information of its origin to make it useful for the user; information received from remote Sensor Nodes (SNs) that are several hops away from base station/sink is meaningless without knowledge of its source. Furthermore, these sensor nodes are usually operated by the battery which is normally not easy to replace. Till now many routing protocols have been proposed for energy efficiency of both homogeneous and heterogeneous environments. This paper proposes a Fuzzy-based hybrid protocol for some nodes to transmit data directly to the base station. The proposed approach is based on fuzzy level information which minimizes the time for the selection of cluster head.

Authors: Aney Alfiya Khan, Praveen Patidar

File Name: Aney_80100-19-103.pdf
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Stock Market Prediction using PSO Optimized Neural Network
Abstract: This paper proposes a model based on particle swarm optimized neural network for the price prediction of American stock market. Different configurations of neural networks are tested using a six years series (January 2010 to December 2016), where the data from January 2014 to December 2015 is used for training leaving the last year (i.e. 2016) to verify the predictive capacity of the network. Three attributes of dataset; open, high and low values are used to train the neural network. The results show a good behavior of neural networks with low-performance errors in both learning and prediction

Authors: Suhani Jaiswal, Rishabh Jaiswal

File Name: Suhani_80100-19-106.pdf
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A Theoretical Review on Location and Sizing of Distributed Generation
Abstract: In order to supply the growth of current and future electricity demand, attention is directed to distributed generation (DG). DG has become a complementary energy source for centralized generation, it has gained a lot of space in distribution systems. In addition, the large plants involve high costs, large greenhouse gas emissions, and difficulty in obtaining environmental permits, these factors have also boosted the use of DG with renewable resources (wind, solar and water). This paper presents a review of the present work aimed to quantify the advantages of the location and sizing of distributed generation frameworks

Authors: Ajit P. Chaudhari, Dr. Girish A. Kulkarni

File Name: Ajit_80100-19-104.pdf
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A Review of Power Loss Minimization in Transmission Lines using Optimization Methods
Abstract: Flexible AC Transmission System (FACTS) is being approached to improve the performance of transmission and interconnection networks. Numerous studies have been made recently on these systems concerning the increase of the speed of control of the parameters of the lines (voltage, impedance and phase shift). Shunt and series offsets using power electronics systems are FACTS concepts and allow the networks to be more flexible. This paper presents an overview of power loss optimization along with the use of metaheuristic methods used to minimize the power loss.

Authors: Nitin Patil, Dr. Girish A. Kulkarni

File Name: Nitin_80100-19-105.pdf
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