generally human vision system searches for salient regions and movements in video scenes to lessen the search space and effort. using visual saliency map for modelling gives important information for understanding in many applications. in this paper we present a simple method with low computation load using visual saliency map for background subtraction in video stream. the proposed technique i...

This paper proposes a connectionist mechanism to support adaptive real-time routing in computer networks. In particular, an Adaptive Self-Organizing Concurrent System (ASOCS) model is used as the basic network router. ASOCS are connectionist models which achieve learning and processing in a parallel and self-organizing fashion. By exploiting parallel processing the ASOCS network router addresse...

An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.An Unscented Kal...

Background: Breast cancer is currently one of the leading causes of death among women worldwide. The diagnosis and separation of cancerous tumors in mammographic imagesrequire accuracy, experience and time, and it has always posed itself as a major challenge to the radiologists and physicians. Objective: This paper proposes a new algorithm which draws on discrete wavelet transform and adaptive ...

Summary Antenna arrays and spatial processing techniques are among the most effective countermeasures against interference. Here, we demonstrate a new array concept consisting of spatially-distributed subarrays that small enough to fit inside non-metallic parts an automobile. This will facilitate concealed installation these devices in bumpers or side mirrors, which is strict requireme...