Mobile cloud computing (MCC) is a new technology that has been developed to overcome the restrictions of smart mobile devices (e.g. battery, processing power, storage capacity, etc.) to send a part of the program (with complex computing) to the cloud server (CS). In this paper, we study a multi-cell with multi-input and multi-output (MIMO) system in which the cell-interior users request service...

To date, researches on agent multi-issue negotiation are mostly based on linear utility functions. However, the relationship between utilities and resources is usually saturated nonlinear. To this end, we expand linear utility functions to nonlinear cases according to the law of diminishing marginal utility. Furthermore, we propose a negotiation model on multiple divisible resources with two ph...

Between the biophysical and behavioral studies of the brain lies computational neuroscience. The goal of which, among other things, is to help bridge the gap in our knowledge and provide alternative or complimentary theories to other neurological studies. As more information is provided and more complex theories are developed, the size and computational cost of neural models continues to increa...

This paper introduces anovel class of length-4N orthonormal scalar wavelets, and presents the theory, implementational issues, and their applications to image compression. We first give the necessary and sufficient conditions for the existence of this class. The parameterized representation of filters with different lengths are then given. Next, we derive new and efficient decomposition and rec...

Solution of statistical inverse problems via the frequentist or Bayesian approaches described in earlier chapters can be a computationally intensive endeavor, particularly when faced with large-scale forward models characteristic of many engineering and science applications. High computational cost arises in several ways. First, thousands or millions of forward simulations may be required to ev...

Multi-unit auctions are being employed by public agencies to allocate resources and to purchase services. These auctions resolve the lumpy bid problem inherent in single-unit auctions by allowing bidders to submit a supply or demand schedule. However, the choice of pricing formats for multi-unit auctions is controversial. Neither economic theory nor laboratory experiments depict a complete pict...

When group decisions involve the allocation of resources to group members, the members might have an incentive to strategically distort any information they provide to increase their share of resources. The paper compares several simple multi-criteria group decision methods with respect to this problem. We show, using a computational model, that strategic manipulation of preference information ...

• Amit Saraswat, Ashish Saini and Ajay Kumar Saxena, “A Novel Multi-Zone Reactive Power Market Settlement Model: A Pareto-Optimization Approach”, Energy, Elsevier. Available Online at: http://dx.doi.org/10.1016/j.energy.2012.12.009 (In Press) • Ashish Saini and Amit Saraswat, “Multi-Objective Day-Ahead Localized Reactive Power Market Clearing Model using HFMOEA”, Int. J. of Electrical Power & E...

We investigate whether holism presents a problem for inductive inference by examining the relationship between the size of a Bayesian network that represents human conceptual knowledge and the computational complexity of probabilistic inference in that network. We find that, despite prior claims, holism may not be a problem for inductive inference, as computational cost does not increase expone...