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Dubai, United Arab Emirates

Upadhyay R.K.,Indian School of Mines | Naji R.K.,University of Baghdad | Raw S.N.,Indian School of Mines | Dubey B.,BITS
Communications in Nonlinear Science and Numerical Simulation | Year: 2013

In this paper, the effects of top predator interference on the dynamics of a food chain model involving an intermediate and a top predator are considered. It is assumed that the interaction between the prey and intermediate predator follows the Volterra scheme, while that between the top predator and its favorite food depends on Beddington-DeAngelis type of functional response. The boundedness of the system, existence of an attracting set, local and global stability of non-negative equilibrium points are established. Number of the bifurcation and Lyapunov exponent bifurcation diagrams is established. It is observed that, the model has different types of attracting sets including chaos. Moreover, increasing the top predator interference stabilizes the system, while increasing the normalization of the residual reduction in the top predator population destabilizes the system. © 2012 Elsevier B.V. Source

Dwivedy M.,BITS | Mittal R.K.,Bits Pilani Dubai
Environmental Development | Year: 2013

This article is a first, limited attempt made to understand the significant factors affecting consumer's willingness to participate in e-waste (waste from electronic consumer products) recycling program in the context of India. As India introduced a draft rule of e-waste management in May 2012, the need for understanding consumer's behavior affecting recycling program is very important to bring clarity and specific changes in the draft rule for better effectiveness. Three major groups of covariates, viz; demographic, socio-economic and individual preferences are discussed in the paper. The results are compared with mixed evidence from developed countries and from China. The authors claim to be the first to study this question using Indian data. © 2013 Elsevier B.V. Source

Khan S.A.,BITS
Journal of Global Optimization | Year: 2011

In this paper, we introduce and study a generalized class of vector implicit quasi complementarity problem and the corresponding vector implicit quasi variational inequality problem. By using Fan-KKM theorem, we derive existence of solutions of generalized vector implicit quasi variational inequalities without anymonotonicity assumption and establish the equivalence between those problems in Banach spaces. © Springer Science+Business Media, LLC. 2010. Source

Khan S.A.,BITS
Computers and Mathematics with Applications | Year: 2010

In this paper, we introduced the generalized vector variational inequality-type problem and the generalized vector complementarity-type problem in the setting of topological vector space. By utilizing a modified version of the Fan-KKM theorem, we investigated the nonemptyness and compactness of solution sets of these problems without the demipseudomonotonicity assumption. Further, we prove that solution sets of both the problems are equivalent to each other under some suitable conditions. The results of this paper generalize and improve several results that appeared recently in the literature. © 2010 Elsevier Ltd. All rights reserved. Source

Senthilkumar C.,Annamalai University | Ganesan G.,Annamalai University | Karthikeyan R.,BITS
Transactions of Nonferrous Metals Society of China (English Edition) | Year: 2011

Electrochemical machining (ECM) is one of the important non-traditional machining processes, which is used for machining of difficult-to-machine materials and intricate profiles. Being a complex process, it is very difficult to determine optimal parameters for improving cutting performance. Metal removal rate and surface roughness are the most important output parameters, which decide the cutting performance. There is no single optimal combination of cutting parameters, as their influences on the metal removal rate and the surface roughness are quite opposite. A multiple regression model was used to represent relationship between input and output variables and a multi-objective optimization method based on a non-dominated sorting genetic algorithm-II (NSGA-II) was used to optimize ECM process. A non-dominated solution set was obtained. © 2011 The Nonferrous Metals Society of China. Source

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