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Reliability of a New Multicomponent Agility Test for Assessing Agility in Basketball Players: The Basketball Multicomponent Agility Test (BMAT)

Current agility tests assess one or multiple components of agility, including unidirectional, bidirectional, and multidirectional movements, which may or may not include retropulsion and rapid acceleration and deceleration transitions along with performing basketball-specific activities such as jumping, turning around 180o and 360o, along with picking a ball and throwing it when changing direction. Hence, there is a requirement for a test which is specific to a Basketball game and also possesses the intricate movements associated with the game in a single test. Objectives: To develop a new sport-specific agility test for assessing agility in Basketball players and determine its reliability by establishing the interrater and interrater reliability. Materials and methods: In this explorative study 54 male Basketball players were taken with the age group 20±3 years. Subjects having acute injuries of lower limb injuries, disabled sportsmen, peripheral nerve injuries of upper & lower extremities, history of recurrent ankle sprains/ other injuries of lower limbs were excluded. The subjects had to perform the Basketball Multicomponent Agility Test (BMAT) which is a special test that has been designed specifically for Basketball players after an intricate and thorough analysis of the game through various videos of time-motion analysis. The final test hence includes all the components occurring most commonly in the game. Results: The Intraclass correlation coefficient (ICC) across the trials for the Interrater reliability was .997 and p= < 0.01 with 95% CI. For the Intrarater reliability the ICC across the trials was .946 at 95% CI, with p= <0.01. Conclusion: The BMAT is a reliable assessment tool for sport specific agility assessment in Basketball players. It can be routinely used by sports scientists, strength and conditioning practitioners, for monitoring the training programs for Basketball players.

Published by: Lakshmi Pavani P., M. Vijayakumar, Payal Vashi, Shuaa D. Ghare

Author: Lakshmi Pavani P.

Paper ID: V3I3-1194

Paper Status: published

Published: May 10, 2017

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Development of Modified Digital Beam Forming Algorithm Using Least Minimum Square Algorithm

The demand for increased capacity in wireless communication networks has motivated recent research activities toward wireless systems that exploit the concept of smart antenna and space selectivity. Efficient utilization of limited radio frequency spectrum is only possible to use smart/adaptive antenna system. The smart antenna radiates not only narrow beam towards desired users exploiting signal processing capability but also places null towards interferers, thus optimizing the signal quality and enhancing capacity. The existing algorithm for adaptive beam-forming (LMS (Least Minimum square) and CMA (Constant modulus algorithm)) is having some issues regarding performance. These issues can be resolved and performance can be improved by doing modification in existing LMS algorithm. In this work, a modified digital beam forming algorithm using LMS algorithm is developed. The aim behind developing this algorithm is to improve steady state response, reduce the phase difference between input and output signal and to reduce the error magnitude between input and output signal. The algorithm is modified by computing and combining the antenna response for interferer signal and data signal to the interferer signal and data signal. This response is calculated for both data signal and interferer signal using the distance between the antennas (π/2) and direction angle of signals. We also analyze the performance of Modified (LMS) algorithm for smart antenna systems which very important for smart antenna design. The performance of proposed method is also compared with existing CMA. The performance parameters for comparison are phase response, magnitude response, and error magnitude. MATLAB R2013 has been used as an implementation platform using wireless communication and antenna tool box.

Published by: Heena Antil, Rajesh Kumar

Author: Heena Antil

Paper ID: V3I3-1193

Paper Status: published

Published: May 10, 2017

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Impact of Distribution Feeder Reconfiguration for Loss Reduction on Bus Voltages – A Perspective

A huge power is dissipated in distribution systems as power losses. The loss reduction and bus voltage improvement are the critical parameters of effective distribution feeder power flow. There are several techniques followed for power loss reduction and voltage profile improvement in distribution systems. Specifically, Distribution Feeder Reconfiguration (DFR) method is employed for the proposed system. The most important criterion of Distribution Feeder Reconfiguration is loss reduction, voltage profile improvement and relieving of the power lines from overloading. The proposed method is tested on a 3-Feeder distribution network and IEEE 33-Bus system. Genetic Algorithm (GA) optimization approach is applied to get the optimal switching scheme for feeder reconfiguration. Simulation results from load flow analysis and GA methodology have shown that the implementation of this method leads to a significant enhancement in voltage profile and reduction in the real power loss. Finally, results of system loss reduction and voltage stability enhancement with a brief overview of approached model are revealed in this paper.

Published by: K. K. S. V. V Prakasa Rao, V. C Veera Reddy

Author: K. K. S. V. V Prakasa Rao

Paper ID: V3I3-1191

Paper Status: published

Published: May 10, 2017

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Mimo Channel Estimation Using Fast Converging Evolutionary Optimization Algorithm

In this paper, a new method using fast converging particle swarm optimization for channel estimation in transmit diversity has been proposed. Also, various estimation techniques for improving the accuracy of channel estimation, comparing the LS estimator with Adaptive Least Square estimator receiver which includes a feedback of output and improves the BER performance of the system, close to the ideal channel performance, have been studied. In the channel, it is required to transmit the data from a transmitter to receiver but sometimes noise is added to the data that has to be transmitted and that noise is called the interference. To improve the estimation process, an evolutionary algorithm like optimization techniques can be utilized for the estimation of the channel. Therefore, a method can be developed based on Particle Swarm Optimization based Least Square estimator for transmit diversity case in OFDM. The results have been shown in support of the proposed method.

Published by: Monika, Mahendra Tyagi

Author: Monika

Paper ID: V3I3-1189

Paper Status: published

Published: May 10, 2017

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Review Paper

Review on OFDM-Mimo Channel Estimation by Adaptive and Non-Adaptive Approaches

With this paper review, the several routes in MIMO-OFDM with predictive estimation on a different kind of modulation because of OFDM turns a frequency-selective route into a parallel assortment of frequency even substations. The subcarriers possess the minimum frequency parting necessary to maintain orthogonally of the corresponding time site waveforms, the signal spectra matching to the several subcarriers overlap in occurrence. Hence, the available bandwidth is employed very proficiently so the review is real as an important view of under position different prediction evaluation which surrender table.

Published by: Bhalinder Singh, Rekha Garg

Author: Bhalinder Singh

Paper ID: V3I3-1188

Paper Status: published

Published: May 10, 2017

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Globalization Of Finance And Its Implications For The Stabilization Of Industries Of India

The financial system has benefited from the Globalization of financial markets and financial Institutions. Financial globalization may also create new risks to the stability of the financial system. This Article analyses the impact of four major factors on the financial stability. These factors include the Rapid race of Innovation in financial markets, the increased Globalization of the banking system, the broadening of the Non-Banking Investor based and changes in the Regional Regime. The risks and benefits forwarded by these developments on financial stability are assessed in the light of their impact on the main core functions of the financial system. This article starts by analyzing the sources of strength and risk to financial stability from Innovation in the financial markets.

Published by: Dr. V. Venkateswara Rao, D. Pushpa Sri

Author: Dr. V. Venkateswara Rao

Paper ID: V3I3-1187

Paper Status: published

Published: May 10, 2017

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