YMCA Institute of Engineering

Farīdābād, India

YMCA Institute of Engineering

Farīdābād, India
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Garg R.,Shri Krishan Institute of Engineering and Technology | Nagpal C.K.,YMCA Institute of Engineering | Garg R.K.,D. C. R. University of Science and Technology
IEEE Transactions on Reliability | Year: 2010

A large number of software reliability growth models (SRGMs) have been proposed during the past 30 years to estimate software reliability measures such as the number of remaining faults, software failure rate, and software reliability. Selection of an optimal SRGM for use in a particular case has been an area of interest for researchers in the field of software reliability. Tools and techniques for software reliability model selection found in the literature cannot be used with high confidence as they use a limited number of model selection criteria. For the first time, we developed a deterministic quantitative model based on a distance based approach (DBA) method, then applied it for evaluation, optimal selection, and ranking of SRGMs. DBA recognizes the need for relative importance of criteria for a given application, without which inter-criterion comparison could not be accomplished. It requires a set of model selection criteria, along with a set of SRGMs, and their level of criteria for optimal selection; and it successfully presents the results in terms of a merit value which is used to rank the SRGMs. We use two distinct, real data sets for demonstration of the DBA method. The result of this study will be a ranking of SRGMs based on the Euclidean composite distance of each alternative to the designated optimal SRGM. © 2006 IEEE.

Raj T.,YMCA Institute of Engineering | Shankar R.,Indian Institute of Technology Delhi | Suhaib M.,Jamia Millia Islamia University | Khan R.A.,Jamia Millia Islamia University
International Journal of Services and Operations Management | Year: 2010

Manufacturing organisations adopt Flexible Manufacturing Systems (FMSs) to meet the challenges imposed by today's volatile market standards. But the implementation of FMSs is not an easy job. Various barriers are experienced in real-life cases during its implementation. It is very much necessary to analyse the nature and impact of these barriers so that production managers can think of some strategies to overcome these barriers. In the present work, a Graph-Theoretic Approach (GTA) has been utilised to find the intensity of these barriers through an index which is calculated through a permanent function obtained from the digraph of FMS barriers. Copyright © 2010 Inderscience Enterprises Ltd.

Singh L.,YMCA Institute of Engineering | Khan R.A.,Jamia Millia Islamia University | Aggarwal M.L.,YMCA Institute of Engineering
Journal of Engineering Research | Year: 2011

Austenitic stainless steel cannot be hardened by any form of heat treatment, in fact, quenching from 10000C merely softens them. They are usually cold worked to increase the hardness. Shot peening is a cold working process that changes micro-structure as well as residual stress in the surface layer. In the present work, the compressive residual stress and fatigue strength of AISI 304 austenitic stainless steel have been evaluated at various shot peening conditions. The improvement in various mechanical properties such as hardness, damping factors and fatigue strength was noticed. Compressive residual stress induced by shot peening varies with cyclic loading due to relaxation of compressive residual stress field. The consideration of relaxed compressive residual stress field instead of original compressive residual stress field provides reliable fatigue design of components. In this paper, the exact reductions in weight and control of mechanical properties due to shot peening process are discussed.

Raj T.,YMCA Institute of Engineering | Shankar R.,Asian Institute of Technology | Suhaib M.,Jamia Millia Islamia University
Journal of Manufacturing Technology Management | Year: 2010

Purpose – Today's volatile condition of the market is forcing the manufacturing organizations to adapt the flexible manufacturing systems (FMS) to meet the challenges imposed by international competition, ever/changing customer demands, rapid delivery to market, and advancement in technology. There are certain enablers, which help in the implementation of FMS or in the transition process from traditional manufacturing system to FMS. The utmost need is to analyze the behavior of these enablers for their effective utilization in the implementation of FMS. This paper aims to address these issues. Design/methodology/approach – This paper presents a methodology based on graph theoretical approach for finding the feasibility of transition to FMS for any industry. A universal feasibility index of transition (FIT) is proposed that evaluates and ranks different organizations according to their capability to be converted into FMS. This FIT value is obtained from a permanent feasibility function obtained from an enablers' digraph of FMS. Findings – The major finding of this paper is that one can judge whether a particular industry is fit for FMS or not by calculating its FIT value. This FIT value can also be utilized in ranking different industries for their possible transition to FMS. Practical implications – The FIT obtained from a permanent function indicates the strength of enablers and their inter/relations. More is the value of this index; more will be suitability of that organization for FMS adoption. In this way, managers can judge that a particular organization is suitable or fit for FMS implementation or not, without making the huge investments for such a complex production system and thus, minimize their risks. Originality/value – Identification, classification of enablers into some important categories, and their analysis is a unique and innovative effort in the area of FMS. © 2010, Emerald Group Publishing Limited

Raj T.,YMCA Institute of Engineering | Attri R.,YMCA Institute of Engineering | Jain V.,Gurgaon Institute of Technology and Management
International Journal of Industrial and Systems Engineering | Year: 2012

Today's dynamic market has forced the manufacturing managers to take interest in flexibility which bestows on an industry to respond promptly to market opportunities and changing technologies. The development of capabilities to be flexible rests on the mandate of top management, helps industries to manage market uncertainties and tends to enhance manufacturing performance. Manufacturing organisations are looking at flexible manufacturing system (FMS) as a viable alternative to enhance their competitive edge. There are, however, some factors affecting the flexibility of FMS. The aim of this research is to analyse and identify those factors which influence some other factors in a big way (called driving factors) and those which are most influenced by the others (called dependent factors). In this paper, these factors have been identified through literature, their ranking is done by a questionnaire-based survey and interpretive structural modelling (ISM) approach has been utilised in analysing their mutual relationships. An ISM model of these factors has been prepared to identify some key factors and their managerial implications. © 2012 Inderscience Enterprises Ltd.

Dixit A.,YMCA Institute of Engineering | Sharma A.K.,YMCA Institute of Engineering
2010 IEEE 2nd International Advance Computing Conference, IACC 2010 | Year: 2010

WWW's expansion coupled with high change frequency of web pages poses a challenge for maintaining and fetching up-to-date information. The traditional crawling methods are no longer catch up with this updating and growing web. Alternative distributed crawling scheme that uses migrating crawlers try to maximize the network utilization by minimizing the network load but are hampered due to the deficiency in their web page refresh techniques. The absence of effective measures to verify whether a web page has been changed or not is another challenge. In this paper, an efficient approach for computing revisit frequency is being proposed. Web pages which frequently undergo up-dation are detected and accordingly revisit frequency for the pages is dynamically computed. ©2010 IEEE.

Garg V.K.,Guru Jambheshwar University of Science and Technology | Gupta R.,YMCA Institute of Engineering
Bioremediation Journal | Year: 2011

Experiments were conducted in winter (October to January) and summer (May to August) seasons to study the effect of seasonal temperature variations on the vermicomposting of household waste using Eisenia fetida earthworms. The prevailing temperatures during experiments were in the range of -2.7°C to 35.0°C during winter season and 18.0°C to 44.4°C during summer season. Organic matter degradation was higher during winter than summer season. The electrical conductivity (EC) of vermicomposts was increased in the range of 2.3-7.8% in winter season; however, the increase in EC was 0.9-1.8% during summer season for different waste mixtures. There was about 56.2-80% increase in total Kjeldahl nitrogen (TKN) content during winter season, whereas the TKN increase was 23.9-44% during summers. The C:N ratio also decreased remarkably in all the waste mixtures during vermicomposting in both the seasons. However, the C:N ratio reduction was more significant during winter (47-60%) than in summer (31-44%). After the observation period, the net worm biomass achieved was higher during winter than summer season. The temperature variations during winter supported the life activities of earthworms more favourably than in summer. The results indicated that growth and reproductive potential of the earthworms were affected not only by the quality and quantity of the feed but also by ambient temperature. Copyright © 2011 Taylor and Francis Group, LLC.

Raj T.,YMCA Institute of Engineering | Attri R.,YMCA Institute of Engineering
European Journal of Industrial Engineering | Year: 2010

Total Quality Management (TQM) is a philosophy that delivers long-term benefits in terms of profitability, customer satisfaction and quality of products. Different organisations work for TQM implementation and utilise their resources to achieve the anticipated benefits. However, it is generally experienced that TQM implementation is a hard and very painful process. There are certain barriers that inhibit the successful implementation of TQM. In the present work, an attempt was made to develop a mathematical model of these barriers using a Graph Theoretic Approach (GTA). An index of barriers in TQM is proposed which evaluates the inhibiting power of these barriers. Copyright © 2010 Inderscience Enterprises Ltd.

Bhatia K.K.,YMCA Institute of Engineering | Sharma A.K.,YMCA Institute of Engineering | Madaan R.,YMCA Institute of Engineering
2010 1st International Conference on Parallel, Distributed and Grid Computing, PDGC - 2010 | Year: 2010

Existing search engines crawl and index surface web, ignoring hidden web which otherwise contains more than 500 times of information than PIW. In this paper, a Domain-specific Hidden Web Crawler (AKSHR) is being proposed. The framework extracts hidden web pages by accruing benefits of its three unique features: 1) automatic downloading of search interfaces to crawl hidden web databases, 2) identification of semantic mappings between search interface elements by using a novel approach called DSIM (Domain-specific Interface Mapper), and 3) the capability to automatic filling of search interfaces. The effectiveness of proposed framework has been evaluated through experiments using real web sites and encouraging preliminary results were obtained. © 2010 IEEE.

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