Distributed{memory multithreaded multiprocessors are composed of a number of (multithreaded) processors, each with its memory, and an interconnecting network. The long memory latencies and synchronization delays are tolerated by context switching, i.e., by suspending the current thread and switching the processor to another `ready' thread provided such a thread is available. Because of very sim...

There are three approaches to health economic evaluation for comparing two therapies. These are (i) cost minimization, in which one assumes or observes no difference in effectiveness, (ii) incremental cost-effectiveness, and (iii) incremental net benefit. The latter can be expressed either in units of effectiveness or costs. When analysing data from a clinical trial, expressing incremental net ...

flapping-wing robotic insects are small, highly maneuverable flying robots inspired by biologicalinsects and useful for a wide range of tasks, including exploration, environmental monitoring, searchand rescue, and surveillance. recently, robotic insects driven by piezoelectric actuators have achievedthe important goal of taking off with external power; however, fully autonomous operation requir...

The optimization of both dc link voltages and switching angles of fundamental switching strategy for the output waveform of a multilevel cascade inverter is investigated in this study. Previous work in the area of fundamental switching for multilevel inverters is highlighted by the pulse width optimization technique, where the switching angle at each voltage level is optimized, so that the resu...

This paper develops an instruction-level loop scheduling technique to reduce both execution time and bus switching activities for applications with loops on VLIW architectures. We propose an algorithm, SAMLS (Switching-Activity Minimization Loop Scheduling), to minimize both schedule length and switching activities for applications with loops. In the algorithm, we obtain the best schedule from ...

This paper presents a multi-objective Particle Swarm Optimization (PSO) algorithm for worker assignment and mixed-model assembly line balancing problem when task times depend on the worker’s skill level. The objectives of this model are minimization of the number of stations (equivalent to the maximization of the weighted line efficiency), minimization of the weighted smoothness index and minim...

In this paper a theoretical background for the architecture of Reversible Wave Cascades is discussed, as well as some minimization algorithms for this architecture. Moreover, heuristic algorithms are proposed for estimating the optimal (or near optimal) variable ordering of a switching function, which drastically improves the simplification results of those, previously mentioned, algorithms. Th...

Estimating the probability of and mechanism for rare events is a physically relevant and mathematically interesting question. Focussing on issues related to “constrained switching events,” we describe differences from the classical Arrhenius picture and how action minimization can be used as a tool. As a specific example, we turn to the stochastic Allen-Cahn equation and explain recent results ...