In the present scenario, vision based hand gesture recognition has become a highly emerging research area for the purpose of human computer interaction. Such recognition systems are deployed to serve as a replacement for the commonly used human-machine interactive devices such as keyboard, mouse, joystick etc. in real world situations. The major challenges faced by a vision based hand gesture r...

To enable a two -arnt manipulator system to perform complex cooperating tasks such as carrying ci rigid object, establishing a contact to a surface, grinding, etc ., a nonlinear multiple input system should be solved. We apply an approach to on line automatic learning of a B-spline fuzzy controller: This controller model directly connects the sensor inputs to the compensation motion. By using t...

Video coding is most popular from 1990 starting with video teleconferencing, videophone, videoCD, DTV, HDTV,Multimedia framework,etc.,Video compression becomes most important when considering the space requirement, channel width and the requirement of hardware. However, when multiple objects must be tracked simultaneously, significant computation is often introduced in order to handle occlusion...

Software agents have been one of the most active research areas in the last decade. As a result, new agent technologies and concepts are emerging. Mobile agent technology has been used in real life environments, such as on-line auctions, supply chain, information gatherings, etc. In most situations, mobile agents must be created and carefully crafted to work together almost from scratch. We bel...

Most real world optimization problems involve complexities like discrete, continuous or mixed variables, multiple conflicting objectives, non-linearity, discontinuity and non-convex region. The search space (design space) may be so large that global optimum cannot be found in a reasonable time. The existing linear or nonlinear methods may not be efficient or computationally inexpensive for solv...

Kernel Machines, such as Support Vector Machines, have been frequently used, with considerable success, in situations in which the input variables were real values. Lately, these methods have also been extended to deal with discrete data such as string characters, microarray gene expressions, biosequences, etc. In this contribution we describe a new kernel allowing kernel machines to be applied...

The proposed methodology has been implemented in modular system architecture to avoid deadlock situations in real time using a rule base approach. A system configuration consisting of work centers, buffers, robots, and loading/unloading stations is taken with limited capacities as the example case study. A part mix with a variety of processing sequences such as, re-entrant only, jig-jag, re-ent...