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Faridabad, India

YMCA University of Science and Technology , formerly YMCA Institute of Engineering , is a state university located in Faridabad, in the state of Haryana, India. It was established in 1969. Wikipedia.


Malhotra V.,YMCA University of Science and Technology
International Journal of Industrial and Systems Engineering | Year: 2014

The reconfigurable manufacturing system is a new manufacturing systems paradigm that aims at achieving cost effective and rapid system changes. The RMS is designed for rapid change in structure in order to quickly adjust production capacity and functionality with in part family in response to sudden change in market. There are certain factors, which affects reconfigurable manufacturing system to implement in the industries. The main objective of this paper is to understand the mutual interaction of these factors and identify the 'driving factors' (i.e., which influence the other factors) and the 'dependent factors' (i.e., which are influenced by others). In the present work, these factors have been identified through the literature, their ranking is done by a questionnaire-based survey and interpretive structural modelling (ISM) approach has been utilised in analysing their mutual interaction. An ISM model has been prepared to identify some key factors and their managerial implications in the implementations of reconfigurable manufacturing system. © 2014 Inderscience Enterprises Ltd. Source


Kapoor R.,Delhi Technological University | Dhamija A.,YMCA University of Science and Technology
IET Computer Vision | Year: 2012

This study introduces a new potential function-based modelling approach for real-time object tracking with single camera. Real-time tracking requires the least complex techniques for processing and classification and still provide accurate results. Particle filter-based algorithms allow accurate estimations of the displacement and scaling of the object for tracking, but at the cost of high computational complexity and complicated modelling. Also, the existing single-camera tracking systems lack the ability to predict the direction of motion of the object and their performance is significantly affected by occlusions. This study proposes a new method to address these four key issues. The method is principally based upon the potential function, which has been modified for motion image sequences. Potential function uses the current estimates of non-linear scaling and drift vector with a priori knowledge of the object to compute the tracking parameters in the form of diffusion matrices. The concept of attractors and repellers inside a potential field has been used in analogy to classify different directions of motion in the image plane, such that the object tends to drift towards the attractors and away from repellers. Attractor for every consecutive pair of frames is estimated using the set of transformations (displacement and scaling) occurred due to the motion in a particular direction. The proposed technique works well with minimal tracking errors and a computational complexity of O(1). © 2012 The Institution of Engineering and Technology. Source


Jain V.,Amity University | Raj T.,YMCA University of Science and Technology
International Journal of Production Economics | Year: 2016

The purpose of this paper is to analyze the performance variables of flexible manufacturing system (FMS). This study was performed by different approaches viz. interpretive structural modelling (ISM); Structural equation modelling (SEM); Graph Theory and Matrix Approach (GTMA) and a cross-sectional survey within manufacturing firms in India. ISM has been used to develop a hierarchical structure of performance variables, and to find the driving and the dependence power of the variables. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are powerful statistical techniques. By performing EFA, factor structure is placed. Whereas CFA verified the factor structure of a set of observed variables. CFA is carried by SEM statistical technique. EFA is applied to extract the factors in FMS by The Statistical Package for Social Sciences (SPSS 20) software and confirming these factors by CFA through Analysis of Moment Structures (AMOS 20) software. The fifteen performance variables are identified through literature, and three factors extracted, which involves the performance of FMS. The three factors are Quality, Productivity and Flexibility. SEM using AMOS 20 was used to perform the first order three factor structure. GTMA is a Multiple Attribute Decision Making (MADM) Methodology used to find intensity/quantification of performance variables in an organization. The FMS Performance Index has purposed to intensify the factors which affect FMS. © 2015 Elsevier B.V. All rights reserved. Source


Garg V.K.,Guru Jambheshwar University of Science and Technology | Gupta R.,YMCA University of Science and Technology
Ecotoxicology and Environmental Safety | Year: 2011

This paper reports the optimization of cow dung (CD) spiked pre-consumer processing vegetable waste (PPVW) for vermicomposting using Eisenia fetida in a laboratory scale study. Vermicomposting process decreased carbon and organic matter concentration and increased N, P and K content in the vermicompost. The C:N ratio was decreased by 45-69% in different vermireactors indicating stabilization of the waste. The heavy metal content was within permissible limits of their application in agricultural soils. It has been concluded from the results that addition of PPVW up to 40% with CD can produce a good quality vermicompost. Whereas, growth and fecundity of E. fetida was best when reared in 20% PPVW+80% CD feed mixture. However, higher percentages of PPVW in different vermireactors significantly affected the growth and fecundity ofworms. © 2010 Elsevier Inc. Source


Jangra K.,YMCA University of Science and Technology
International Journal of Industrial Engineering Computations | Year: 2012

Wire electrical discharge machining (WEDM) is well known process for generating intricate and complex profiles in hard metal matrix composites. But damaged surface layer with poor surface integrity is a major disadvantage of WEDM. Beside poor damaged surface layer, after rough/first cut in WEDM, some surface area remains unmachined on work surface during intricate machining such as in die cutting. This paper presents a study on unmachined surface area named as surface projection, in die cutting after rough cut in WEDM. Using scanning electron microscope images, length of unmachined surface projections have been determined. In order to minimize these surface projections from small cavities having complex geometries, trim cutting operation is the best alternative. Results show that using more than one trim cut with appropriate wire offset value, surface projections can be minimized, successfully. © 2012 Growing Science Ltd. All rights reserved. Source

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