Academic Research Publishing Agency Press
International Journal of Research and Reviews in Applied Sciences
ISSN: 2076-734X, EISSN: 2076-7366

Volume 24, Issue 1(July, 2015)

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1. FIXED POINT THEOREM FOR THREE ASYMPTOTICALLY NONEXPANSIVE MAPPINGS THROUGH IMPLICIT ITERATIVE SCHEME
by Anil Rajput, Abha Tenguria & Sanchita Pandey
Abstract

In this paper, a new iterative scheme for approximating common fixed point of three asymptotically nonexpansive mapping is defined and we have proved weak and strong convergence theorems in a uniformly convex Banach space. A two-step iteration scheme for asymptotically nonexpansive mappings in uniformly convex Banach space includes Ishikawa type and Mann type iterations as special cases. The results obtained in this paper represent an extension as well as refinement of previous known results.

Source: International Journal of Research and Reviews in Applied Sciences
July 2015-- Vol. 24 Issue 1 -- 2015

2. DESIGN AND DEVELOPMENT OF A PUBLIC ADDRESS AUDIO AMPLIFIER

by Otasowie P.O., Osarogiagbon A.U. & Boi-Ukeme J.O.

Abstract

This research work is a design and development of a public address audio amplifier capable of driving 30watts of power into an 8-ohm speaker. The design is broken down into four units which are power supply unit, signal processor unit, voltage amplifier unit and power amplifier unit. The public address audio amplifier was designed, developed and tested and the results show that the amplifier maintains low distortion and noise. In addition, the amplifier exhibits strong linear characteristics. The input and output power was 42watts and 30.25watts while the efficiency was 78.5%, which shows that the developed amplifier worked satisfactorily.

Source: International Journal of Research and Reviews in Applied Sciences 
July 2015-- Vol. 24 Issue 1 -- 2015

3. MODELLING COMPRESSIVE STRENGTH OF CONCRETES INCORPORATING TERMITE MOUND SOIL USING MULTI-LAYER PERCEPTRON NETWORKS: A CASE STUDY OF EASTERN NIGERIA
by Ikechukwu Etienne Umeonyiagu & Chidozie Chukwuemeka Nwobi-Okoye
Abstract

In this study termite mound soil was used as part of concrete mixture. This work shows the development of a computational model, based on artificial neural networks for the determination of compressive strength of concrete materials made by replacing the fine aggregate with termite mound soil. The work involves building a multi-layer perception neural network model which uses experimental data obtained from compressive strength test of concrete made from termite mound soil. The compressive strength predictions were compared with predictions from an alternative model based on regression analysis. The results of the study show that for the termite mound soil based concrete the regression model prediction has a correlation coefficient of 0.94402 and a sum of squares error of 0.72867100, while the neural network model prediction has a correlation coefficient of 0.94918 and a sum of squares error of 0.07629460. Generally, the models predicted well, but the neural network model predicted better than the regression model. The result of the study has adequately demonstrated a cheap, simple, very quick and accurate alternative to experimental method of concrete strength determination.

Source: International Journal of Research and Reviews in Applied Sciences
July 2015-- Vol. 24 Issue 1 -- 2015

4. PERFORMANCE EVALUATION OF SEIG FOR VARIABLE SPEED WIND ENERGY CONVERSION SYSTEM

by Jitendra Singh Shakya, Anand, Gurmit Singh & R.K. Saket

Abstract

This paper presents mathematical modelling and performance evaluation of self-excitation induction generator for variable speed wind energy conversion system. Technical visits of Madhya Pradesh Wind Farm Limited Devas (MP) have been made to study the installation, operation, failures causes, maintenance and performance of the wind power plant. The rating of the experimental test machine i.e. three phase Induction Motor is 230V, 12.5A, 5.5 hp, 50Hz, 4-pole. The three phase Induction Motor is used as an induction generator. DC shunt motor is operated as the prime mover of the experimental setup. Approximate circuit parameters of the induction generator have been evaluated using no load and block rotor test on experiment machine. Suitable VAR requirement for excitation and voltage build-up process have been evaluate in this paper. Various results have been obtained using MATLAB simulink for justification of the theoretical and experimental results.

Source: International Journal of Research and Reviews in Applied Sciences 
July 2015-- Vol. 24 Issue 1 -- 2015













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