This paper addresses the problem of distributed estimation an unknown dynamic parameter by a multi-agent system over directed communication network in presence adversarial attack on agents' sensors. The mode adversaries is to corrupt sensor measurements some agents, while and information processing capabilities those agents remain unaffected. To ensure that all both normal as well under attack,...

in this paper, we review novel techniques in the emerging field of spatiotemporal 4d pet imaging. we will discuss existing limitations in conventional dynamic pet imaging which involves independent reconstruction of dynamic pet datasets. various approaches that seek to attempt some or all of these limitations are reviewed in this work, including techniques that utilize iterative temporal smooth...

This paper addresses the application of active contours or snakes for location and tracking of facial features. Conventional snake approaches find the position of the snake by finding a minimum of its energy, composed of internal and external forces. The external forces pull the contours toward features such as lines and edges. However, in many applications this minimization leads to contours t...

This paper addresses the application of active contours or snakes for tracking of contours in image sequences. We propose to use the dynamic programming implementation of the snakes in order to restrict the possible candidates for a given snaxel to those that have a high correlation with the corresponding snaxel in the previous frame. Besides, we claim that, in tracking applications, the motion...

state estimation is the foundation of any control and decision making in power networks. the first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. this paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...