Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Steganography & Support vector machine. The organization has 581 authors who have published 1045 publications receiving 8345 citations.

Analytical modelling, simulation, and comparative study of compound alloy based tandem solar cells — An efficient way of renewable energy management

Abstract: The most efficient technology for generation of electricity from solar irradiation is multijunction solar cell in tandem structure. The materials used in these structures are a prime factor, controlling device efficiency. The III-V compound semiconductor optoelectronic alloys are quite promising, due to their direct bandgap feature and superior performance, compared to any other existing solar cell technologies. This has led to a widespread use of these alloys in solar panels installed in satellites. In spite of superior performance of III-V alloy cells, Si cells have dominated the terrestrial market due to their lower cost. To introduce cost effectiveness in tandem cells Al is alloyed with GaInP and GaAs, in the proposed structures, which bring down the cost of these priceless alloys. Moreover, a comparative analysis is done among double and triple junction cells. The aim of this work is to investigate and correlate their performance in terms of efficiency, fill factor, and other electrical parameters, in double junction and triple junction solar cell on Germanium (Ge) substrate. Dark current of these two cells are also calculated for analyzing their performance.

Grayscale Image Classification Using Supervised Chromosome Clustering

Abstract: In this paper we propose Handwritten Signature Classification using supervised chromosome clustering technique. Due to the time variant nature of handwriting of human being, a set of hundred sample Handwritten Signatures first collected from the user or individual in form of same sized grayscale images. These grayscale handwritten signature images will be used as the training set in our classification algorithm. Our propose algorithm will then decide whether the future incoming handwritten signature of an individual can be a member of the training set or not. In this paper, distance and similarities play an important role, where the greater the dissimilarity measure or distance of genes, the more dissimilar are the two chromosomes.

Tribological and Corrosion Behavior of Al-TiB 2 Metal Matrix Composites—An Overview

Abstract: The present chapter deals with Al-TiB2 metal matrix composites (MMCs). MMCs are already proved for their superior mechanical properties and tribological behavior when compared with monolithic metal alloys which actually made MMCs suitable for versatile range of applications. Accordingly, mass market products of composite materials are increasing progressively and area of applications are spreading day by day. From solid-to-liquid processing, there are several methods through which reinforcing phases have been incorporated into the metallic phase. A discussion regarding tribological and corrosion behavior of Al–TiB2 composites based on existing literature has been introduced in this chapter. It can be said from overall discussion that Al–TiB2 composites perform very well in tribological aspects. To talk about corrosion resistance, definitely some new approaches should be taken to make it better.

On Defect Tolerance of Nanocrossbar Arrays using Divide and Conquer Technique

Abstract: The nanoscale designs usually face much higher defect rates as compared to the VLSI designs based on conventional lithography. New defect tolerant schemes are in required to achieve high yield at this scale. The crossbar-based architecture is one of the most promising nanoscale computational architectures. To understand various logic circuits using nanoscale crossbar arrays; these nano-crossbars containing crosspoints with defects can be utilised to map different logic functions. In this work, we use a novel technique for mapping different logic functions to respective rows of nano-crossbar arrays having defective crosspoints. The method proposed by us is to tolerate defects and make wise use of defective crossbar using divide and conquer technique. The experimental results show satisfactory performance of the proposed algorithm. Moreover, the proposed algorithm outperforms some earlier bio-inspired based mapping algorithms in terms of function mapping success percentage with the variation of defect percentage.

A Study on the Structural Behaviour of AFG Non-uniform Plates on Elastic Foundation: Static and Free Vibration Analysis

Abstract: Plate on elastic foundation is an important realization of actual boundary condition of structures. The present paper studies the effect of the stiffness value of the elastic foundation on large deflection and free vibration of AFG non-uniform plate. Governing set of equation of the system is obtained by energy principle through variational method. Derived nonlinear equations are handled through utilizing an iterative method, which is direct substitution method. The effects of the elastic foundations are represented through load versus maximum deflection plot, deflected shape plot and backbone curves. The effects of the edged boundary conditions and non-uniformity of the plate shape are also highlighted.