YMCA University of Science and Technology

About: YMCA University of Science and Technology is a education organization based out in Faridabad, India. It is known for research contribution in the topics: Web page & Web crawler. The organization has 299 authors who have published 568 publications receiving 4547 citations.

Sizing and Financial Optimization of Hybrid PV/battery/Diesel System

Abstract: Energy scarcity and environmental concerns are driving the World energy sector towards renewable energy sources. But, practical feasibility,reliability and high costs are the major hurdles. So, a judicious combination of all these factors and the various Renewable energy sources is the need of the hour. In this paper, a hybrid optimization technique for a residential building in Faridabad, Haryana, India has been proposed. A new scheme of utilizing battery costs as fixed deposits based on present market rates of installation makes the system financially viable. The proposed algorithm evaluates the system for desired LLP values & then economically optimizes it to provide a financially viable system with least total life cycle costs.

Developing human family tree using SWRL rules

Abstract: Ontology represents explicit specification of knowledge in a specific domain of interest in the form of concepts and relations among them. This paper represents a Human Family Tree Ontology that is designed in two main stages. The first stage covers the domain of the human biological family tree that includes personal information of each person such as name, address, phone number, date of birth etc., and each person's health history which includes lifestyle habits, blood group, diseases that they have been or are suffering from. The second stage includes SWRL (Semantic Web Rule Language) Rules that are helpful in expressing the rich semantic knowledge encoded in the ontology. For this various rules are designed. The ontology is developed using Ontology Web Language and Protege editing tool. Several inputs are given for the testing of well execution of ontology.

LabVIEW based analysis of two input and two output interacting tank system

Abstract: In process control system many parameters are controlled. This paper describes the level control of two input two output system. The implementation of the paper focuses on mathematical modeling and to maintain liquid levels at the desired value in the interacting system. This paper also shows dynamics of the interacting nature of two tanks. The Taylor series method is used to convert the non-linear system to the linear form. The simulation is implemented in LabVIEW Software.

Test case prioritisation during web application testing

Abstract: Owing to frequent alterations in the existing web applications, performing regression testing becomes necessary for the identification and rectification of the newly generated unwanted faults. Owing to various resource constraints, test case prioritisation is one of the strategies followed, rather than running test cases blindly. This paper proposes a novel approach towards prioritisation of test cases during regression testing of web application (dynamic website) using Bayesian network. Initially, a Bayesian network is formed using various parameters which affect the success of a test case as well as promote testing of more crucial sections of the web application. Thereafter, the conditional probability table and probabilistic inference algorithms are applied to evaluate the success probability and ultimately priority (importance) of a test case. Execution of the test cases takes place on the basis of their respective priority. The performance of proposed technique is compared with existing work, 2-opt inspired heuristic algorithm and genetic algorithm.

An ISM approach for modelling the variables affecting the selection of material handling equipments in advance manufacturing system

Abstract: This paper presents the application of interpretive structural modelling (ISM) approach for modelling the variables of automated material handling systems as a useful tool in advanced manufacturing system. There are certain variables, which help in the implementation of material handling systems in advance manufacturing systems. These variables affect these material handling systems and influence one another also. The main objective of this paper is to understand the mutual interaction of these variables and to identify the 'driving variables' and the 'dependent variables'. In the present work, these variables have been identified through the literature survey and their ranking is done by a questionnaire-based survey. The ISM approach has been utilised in analysing their mutual interaction and in preparation of a model through which some key variables can be identified for the implementation of automated material handling systems (AMHS).