This paper suggests a new load aware routing (LWR) enhancement that improves on-demand routing protocols significantly in ad hoc networks. This paper describes deterministic characteristics of ad hoc networks and suggests improved routing strategies that can sustain the network functionality even under highly stressful data traffic. LWR evenly distributes the load throughout the networks. It al...

automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. it has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. in this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...

The partitioning of sets or graphs is an exhaustively researched topic in classic and modern computer science. We consider this area from a new point of view by developing algorithms for partitioning with only very limited abilities and knowledge of the individual elements, restricted to the direct, local environment of the single elements (locality). In our approach the elements or vertices of...

The fast global k-means (FGKM) clustering algorithm is one of the most effective approaches for resolving the local convergence of the k-means clustering algorithm. Numerical experiments show that it can effectively determine a global or near global minimizer of the cost function. However, the FGKM algorithm needs a large amount of computational time or storage space when handling large data se...

The performance of Evolution Strategies (ESs) depends on a suitable choice of internal strategy control parameters. Apart from a fixed setting, ESs facilitate an adjustment of such parameters within a self-adaptation process. For stepsize control in particular, various adaptation concepts were evolved early in the development of ESs. These algorithms mostly work very efficiently as long as the ...

An image segmentation approach based on modified fuzzy e-mean clustering algorithm i s developed. This method deals with the global and local image informat ion at a gross scene level, which incorporates the local information including edge map and spatial relationship of the pixels into the parameters of its objective function. Bu t the current clustering based segmentation methods usually inc...

The size and complexity of actual networked systems hinders the access to a global knowledge of their structure. This fact pushes the problem of navigation to suboptimal solutions, one of them being the extraction of a coherent map of the topology on which navigation takes place. In this paper, we present a Markov chain based algorithm to tag networked terms according only to their topological ...