As digital microfluidic biochips become widespread in safety-critical biochemical applications, system dependability emerges as a critical performance parameter. The dynamic reconfigurability inherent in digital microfluidic biochips can be utilized to bypass faulty cells, thereby supporting defect/fault tolerance. In this paper, we propose three different reconfiguration techniques and the cor...

We study a hybrid network traffic model that combines a fluid-based analytical model using ordinary differential equations with the packet-oriented discrete-event simulation. The hybrid model is important to large-scale real-time network simulations, where the packet-level emulation traffic is handled by discrete events and the majority of the background traffic is described more efficiently as...

In this paper, we focus on the use of three different techniques that support automatic derivation of video content from raw video data, namely, a spatio-temporal rule-based method, hidden Markov models, and dynamic Bayesian networks. These techniques are validated in the particular domain of tennis and Formula 1 race videos. We present the experimental results for the detection of events such ...

The Minimum Cost Flow (MCF) problem is a well-known problem in the area of network optimisation. To tackle this problem, Network Simplex Algorithm (NSA) is the fastest solution method. NSA has three extensions, namely Network Simplex plus Algorithm (NSA+), Dynamic Network Simplex Algorithm (DNSA) and Dynamic Network Simplex plus Algorithm (DNSA+). The objectives of the research reported in this...

This paper presents a comprehensive case study on electro-mechanical analysis of MEMS[1] variable capacitors. Using the fundamental mechanical and electrical equations, static and dynamic behaviors of the device are studied. The analysis is done for three different modes, namely: dc (static mode), small signal ac and large signal regime. A complete set of equations defining dynamic behavior of ...

Operations Research techniques are usually presented as distinct models. Difficult as it may often be, achieving linkage between these models could reveal their interdependency and make them easier for the user to understand. In this article three different models, namely Markov Chain, Dynamic Programming, and Markov Sequential Decision Processes, are used to solve an inventory problem based on...

In recent years, the yeast two-hybrid system has become the method of choice for detection and analysis of protein-protein interactions in an in vivo context. This system, which capitalizes on the significant genetic history and ease of protocols for manipulation of Saccharomyces cerevisiae, is accessible to most laboratories and is applicable to the pursuit of a large variety of experimental g...

This paper investigates the problem of minimizing roundoff noise under 2-norm dynamic-range scaling constraints in state-space digital filters by means of error feedback as well as joint error feedback/coordinate transformation optimization. First, several techniques for the determination of optimal full-scale, diagonal, and scalar error-feedback matrices for a given state-space digital filter ...

On-demand routing protocols for mobile ad hoc networks utilize route caching in different forms in order to reduce the routing overheads as well as to improve the route discovery latency. For route caches to be effective, they need to adapt to frequent topology changes. Using an ondemand protocol called “Dynamic Source Routing” (DSR), we study the problem of keeping the caches up-to-date in dyn...