Abstract In this work, a dynamic optimizer (DO) is enhanced with elements taken from the Modifier Adaptation (MA) methodology for Real-Time Optimization (RTO). The objective to use capability of MA methodologies reach real optimum process despite existence process-model mismatch. modifiers are computed during transient, without waiting several steady states occur, speeding up time required plan...

Smooth pursuit eye movements are supported by visual-motor systems, where visual motion information is transformed into eye movement commands. Adaptation of the visuomotor systems for smooth pursuit is an important factor to maintain pursuit accuracy and high acuity vision. Short-term adaptation of initial pursuit gain can be produced experimentally using by repeated trials of a step-ramp track...

With the increasing demands for adaptive middleware of dynamic systems in pervasive computing environments, the need for dynamic software architecture and programming infrastructure to achieve dynamic adaptation is widely recognized. In this paper, we firstly present a semantic and adaptive middleware architecture called ScudWare that supports for dynamic and heterogeneous environments. ScudWar...

This paper presents a cache-based dynamic adaptation technique for lexicalized probabilistic context-free-grammar (LPCFG). Expected counts from machine-parsed sentences of in-domain data are stored in a cache, which are combined with prior counts from hand-annotated parses of outof-domain data using maximum a posteriori (MAP) estimation. This adaptation is unsupervised, and dynamic with an adap...

We research dynamic reconfiguration of component systems in the context of dynamic adaptation. We classify various approaches to dynamic adaptation of component composition and conclude that they differ in power and complexity, yet still have significantly compatible strengths and weaknesses. Therefore, we argue for an integrated approach that implements several different approaches and leverag...

Abstract. Typical applications of evolutionary optimization involve the off-line approximation of extrema of static multi-modal functions. Methods which use a variety of techniques to self-adapt mutation parameters have been shown to be more successful than methods which do not use self-adaptation. For dynamic functions, the interest is not to obtain the extrema but to follow it as closely as p...

Dynamic Aspect Oriented Programming (AOP) technologies typically provide coarse-grained mechanisms for adapting aspects that cross-cut a system deployment; i.e. whole aspect modules can be added and removed at runtime. However, in this paper we demonstrate that adaptation of the finer-grained elements of individual aspect modules is required in highly dynamic systems and applications. We presen...

This paper proposes a new technique for speech feature estimation under noise circumstances. This new approach yields noise-robust continuous speech recognition (CSR). Noiserobust techniques for isolated word speech recognition typically employ the running spectrum analysis (RSA), the running spectrum filtering (RSF) and the dynamic range adjustment (DRA) methods. Among them, only RSA has been ...