Archive Browsing VOLUME 8 ISSUE 11 JUNE 2020

Artificial Bee Colony Algorithm based Optimized Cluster Head Election
Abstract: Thanks to the great steps taken in recent years in technological development, and in particular microelectronics and wireless communication techniques, small networked and inexpensive communicating sensors are increasingly being used in industrial applications and observation of the environment. However, the use of wireless sensor networks in such applications has to face several limitations imposed by sensors such as processing capacity, small memory size and energy. Or the limits imposed by the network itself, such as the narrow bandwidth, the network dynamics due to the topological variation of the network and the appropriate communication protocols adapted to this type of network. In this paper, we test Low-Energy Adaptive Clustering Hierarchy (LEACH) and Artificial Bee Colony optimized LEACH based cluster head election under a few distinctive situations holding high level heterogeneity to low level heterogeneity. The performance comparison metrics are; network lifetime and network throughput.

Authors: Pooja Agrawal, Angeeta Hirwe

File Name: Pooja_81100-20-101.pdf
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Stock Market Prediction using Bayesian Optimized K-Nearest Neighbor
Abstract: Stock markets are complex systems due to their non-stationary nature, as the parameters are constantly changing, such as economic conditions and changes in company policy. This paper proposes a model based on Bayesian optimized K-Nearest Neighbor (KNN) for the price prediction of New York stock Exchange. Different configurations of KNN are tested using a six years series (January 2010 to December 2016). Three attributes of dataset; open, high and low values are used for the input of the KNN. The results show a good behaviour of Bayesian optimized KNN with low-performance errors in both learning and prediction.

Authors: Zahra Malwi, Paril Ghori

File Name: Zahra_81100-20-102.pdf
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Stability Analysis of Multi-Machine Power System for Inter-Area Oscillations under Different Time-Delay in Control Signal for PSS
Abstract: This paper presents a novel approach in order to improve power system stability by designing phasor measurement technology (PMU) based wide area damping controller (WADC). Wide area power system stabilizer (WPSS) is one of the most potentially effective approaches to damp inter-area oscillations in power system in WADC. Data measured by PMUs transmitted to controller through the communication channels, in this transmission network time delay is unavoidable, and to deal with this kind of time delay problem we used Padé approximation approach. The work is related to designing a wide area damping controller for inter-area oscillations damping for two-area four-machine power system model which identify the inter-area oscillations through modal analysis and selected most affective wide area signal for power system stabilizer by using geometric approach. Proposed methodology is used to damp out inter-area oscillations under different signal delay. Simulation results concluded that for multi machine power system, the inter-area oscillation with signal delay which is very dangerous and can be easily damped out with the proposed approach.

Authors: Surbhi Chourasia, Prof. Parikshit Bajpai

File Name: Surbhi_81100-20-103.pdf
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