What makes a source–channel communication system optimal? It is shown that in order to achieve an optimal cost–distortion tradeoff, the source and the channel have to be matched in a probabilistic sense. The match (or lack of it) involves the source distribution, the distortion measure, the channel conditional distribution, and the channel input cost function. Closed-form necessary and sufficie...

Waveguide meshes are efficient and versatile models of wave propagation along a multidimensional ideal medium. The choice of the mesh geometry affects both the computational cost and the accuracy of simulations. In this paper, we focus on two-dimensional (2-D) geometries and use multidimensional sampling theory to compare the square, triangular, and hexagonal meshes in terms of sampling efficie...

This paper presents a novel method to solve non-linear time-cost tradeoff (TCT) problem of real world engineering projects. Multiobjective genetic algorithm (MOGA) is employed to search for optimal TCT profile. Applicability of ANN based model for rapid estimation of time-cost relationship by invoking its function approximation capability is investigated. ANN models are then integrated with MOG...

The response to a large-scale disaster, e.g. an earthquake or a terrorist incident, urges for low-cost policies that coordinate sequential decisions of multiple agents. Decisions range from collective (common good) to individual (self-interested) perspectives, intuitively shaping a two-layer decision model. However, current decision theoretic models are either purely collective or purely indivi...

Test costs and misclassification costs are two most important types in cost-sensitive learning. In decision systems with both costs, there is a tradeoff between them while building a classifier. Generally, with more attributes selected and more information available, the test cost increases, and the misclassification cost decreases. We shall deliberately select an attribute subset such that the...

Creating a cost-effective large-scale multi-tier Enterprise service requires judicious selection and configuration of infrastructure elements and mechanisms. The minimum cost solution that satisfies business requirements for service availability and performance should be identified. Emerging self-managed computing utility environments demand an automated solution to this problem. This solution ...

We consider a mean-variance hedging (MVH) problem for an arbitrage-free large financial market, i.e. a financial market with countably many risky assets modelled by a sequence of continuous semimartingales. By using the stochastic integration theory for a sequence of semimartingales developed in De Donno and Pratelli (2003), we extend the results about change of numéraire and MVH of Gourieroux,...

This paper studies a strategic supply chain management problem to design robust networks that perform well under both normal conditions and when disruptions strike. We present a mixed-integer programming model whose objective is to minimize the nominal cost (the cost when no disruptions occur) while reducing the disruption risk using the p-robustness criterion (which bounds the cost in disrupti...

This paper studies a strategic supply chain management problem to design reliable networks that perform as well as possible under normal conditions, while also performing relatively well when disruptions strike. We present a mixed-integer programming model whose objective is to minimize the nominal cost (the cost when no disruptions occur) while reducing the disruption risk using the p-robustne...

This paper provides a quantitative characterization of an embedded system’s capability to implement alternative behaviors. This new objective in system-level design is termed flexibility and is most notable in the field of adaptive and reconfigurable systems, where a system may change its behavior during operation. Different behaviors are also taken into consideration while implementing platfor...