In this paper, we develop an algorithm that may be used as a stepping-stone detection tool. Our approach is based on analyzing correlations between the cumulative number of packets sent in outgoing connections and that of the incoming connections. We present a study of our method’s effectiveness with actual connections as well as simulations of time-jittering (introduction of inter-packet delay...

The development of multi-channel digital broadcasting has generated a demand not only for new services but also for smart and highly functional capabilities in all broadcast-related devices. This is especially true of the television receivers on the viewer's side. With the aim of achieving a friendly interface that anybody can use with ease, we built a prototype interface system that operates a...

This article introduces a bivariate shape-preserving interpolation algorithm to approximate the value function of a dynamic program. First, we present a savings allocation problem between a pension account and another non-pension one. With the objective of maximizing the present value of utility over a life cycle, the investor can distribute his or her savings, in each account, between stocks a...

The efficiency of a thermodynamic system is a key quantity on which its usefulness and wider application relies. This is especially true for a device that operates with marginal energy sources and close to ambient temperatures. Various definitions of efficiency are available, each of which reveals a certain performance characteristic of a device. Of these, some consider only the thermodynamic c...

Optimization models for multi-server queueing systems are very appropriate capacity planning and design tools for manufacturing, telecommunication, transportation, and facility modelling applications. A design methodology based on a two-moment approximation algorithm is utilized for optimizing the number of servers, arrival and service rates, and amount of waiting room in these M/G/c/K multi-se...

We present an algorithmic framework that improves over several known results for a family of optimization problems on flexible manufacturing systems that involve multiple objectives and that have received considerable attention in the literature. We demonstrate the usefulness of our algorithm by theoretical analysis and by experiments with large real-world and random instances.

Typically portfolio analysis is based on the expected utility or the mean-variance approach. Although the expected utility approach is the more general one, practitioners still appreciate the mean-variance approach. We give a common framework including both types of selection criteria as special cases by considering portfolio problems with terminal wealth constraints. Moreover, we propose a sol...

We study performance limits of solutions to utility maximization problems (e.g., max-min problems) in wireless networks as a function of the power budget p̄ available to transmitters. Special focus is devoted to the utility and the transmit energy efficiency (i.e., utility over transmit power) of the solution. Briefly, we show tight bounds for the general class of network utility optimization pr...

The paper introduces duty measure for optimization methods. Duty expresses the relationship between the quality of the result and the time required to obtain the result. The usefulness of the duty measure is demonstrated on a case study involving a local optimization of a large traveling salesman problem. Using duty, a deterministic method and a probabilistic method are combined into a hybrid m...

Mathematical modelling can help to explain the nature and dynamics of infection transmissions, as well as support a policy for implementing those strategies that are most likely to bring public health and economic benefits. The paper addresses the application of optimal control strategies in a tuberculosis model. The model consists of a system of ordinary differential equations, which considers...