Agents as Tools for Solving Complex Control Problems

Modern control systems must cope with significant degrees of uncertainty as well as with more dynamic environments and to provide greater flexibility This complexity requires to employ the efficacy of the agent-oriented software engineering approach Agents and multiagent systems are becoming a new way to analyze design and implement complex software systems since the focus of an agent-based approach is on goals tasks communication and coordination The aim of this paper is to present agents as tools that enhance the design for solving complex control problems In this paper we will argue that analyzing designing and implementing control complex software systems as a collection of interacting autonomous flexible components i e as agents affords software engineers several significant advantages over contemporary methods A case study in the domain of control process is treated where the experiences of using an agent-based approach is assessed A case study will be given to demonstrate this design method Our purpose is to design a power intelligent management system that is able to fulfill the user comfort and minimize the consumption of the fuel of the generator It is based on the concepts of an agent and a multi-agent systemher

Implementing 3D Warping Method In Wavelet Domain

A wide class of operations on images can be performed directly in the wavelet domain by operating on coefficients of the wavelet transforms of the images and other matrices defined by these operations. Operating in the wavelet domain enables one to perform these operations progressively in a coarse-to-fine fashion, operate on different resolutions, manipulate features at different scales, and localize the operation in both the spatial and the frequency domains. Performing such operations in the wavelet domain and then reconstructing the result is also often more efficient than performing the same operation in the standard direct fashion. Performing 3D warping in the wavelet domain is in many cases faster than their direct computation. In this paper we demonstrate our approach both on still and sequences of images