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.

Reliability and availability analysis of the serial processes in skim milk powder system of a dairy plant: a case study

Abstract: In this paper, a numerical method is proposed to compute the long run availability and reliability with mean time between failures (MTBF) for skim milk powder system of a dairy plant. It is a complex system and comprises of six repairable subsystems viz. chiller, cream separator, pasteuriser, evaporator, drying chamber and packaging sub-systems arranged in series or parallel configurations. This analysis is based on Markov birth-death process and by assuming that the failure and repair rate of each subsystem follows exponential distribution. Mathematical formulation of the system is carried out and Chapman-Kolmogorov differential equations are derived, a numerical method, i.e., Runge-Kutta fourth order method is used to solve these differential equations. The results are presented and discussed with the plant personnel to adopt and practice suitable maintenance policies/strategies to enhance the productivity of skim milk powder system.

Opinion mining using ontological spam detection

Abstract: In the current scenario, the data on the web is growing exponentially Social media is generating a large amount of data such as reviews, comments, and customers' opinions on a daily basis This huge amount of user generated data is worthless unless some mining operations are applied to it As there are a number of fake reviews so opinion mining technique should incorporate Spam detection to produce a genuine opinion Nowadays, there are a number of people using social media opinions to create their call on shopping for product or service Opinion Spam detection is an exhausting and hard problem as there are many faux or fake reviews that have been created by organizations or by the people for various purposes They write fake reviews to mislead readers or automated detection system by promoting or demoting target products to promote them or to or to degrade their reputations In this paper, the proposed technique includes ontology, Geo location and IP address tracking, Spam words Dictionary using Naive Bayes, Brand only review detection and tracking account used Experimental results dictate its better results over its nearest competitors

Performance Analysis of Different Control Strategies in a Z-source Inverter

Abstract: This paper presents the analysis for different control techniques in Z-source inverters. The voltage gain versus modulation index from simulation result is compared with the mathematical calculated voltage gain. Further detailed analysis of %THD, %harmonics of output voltage at different modulation indexes for different boosting techniques of a Z-source inverter are also performed with respect to the traditional VSI by MATLAB based simulation

A coupling effect based test case prioritization technique

Abstract: Regression testing is a process that executes subset of tests that have already been conducted to ensure that changes have not propagated unintended side effects. Test case prioritization aims at reordering the regression test suit based on certain criteria, so that the test cases with higher priority can be executed first rather than those with lower priority. In this paper, a new approach for test case prioritization has been proposed which is based on a module-coupling effect that considers the module-coupling value for the purpose of prioritizing the modules in the software so that critical modules can be identified which in turn will find the prioritized set of test cases. In this way there will be high percentage of detecting critical errors that have been propagated to other modules due to any change in a module. The proposed approach has been evaluated with the case study of software consisting of ten modules.

Understanding the barriers in implementing leagile manufacturing system

Abstract: The concept of lean manufacturing and agile manufacturing is not new nowadays, but the combination of the two i.e., lean as well as agile has been emerging as a new concept. Both lean and agile concepts are separated by a strategic point called de-coupling point, upstream of which there is a level schedule and at the same time, downstream, the system is agile so as to met volatile needs of customers. There are many advantages of implementing leagile manufacturing system like reduced cost, reduced lead time, improved quality, better customer satisfaction, increased sales and profitability, etc. So it is necessary to understand the barriers in implementing leagile system and also to what extent. Researchers have used different techniques like graph theory, technique of order preference by similarity to ideal solution (TOPSIS), analytic hierarchy process (AHP), analytic network process (ANP), interpretive structural modelling (ISM), etc. In this paper ISM technique is used to understand the barriers in implementation of leagile manufacturing system. A questionnaire-based survey was conducted to rank these barriers. ISM approach has been used for converging some key barriers and managerial implications. Also, driving and dependent power of these barriers have been found out by using MICMAC analysis.