Abstract Multi agents systems are formed of different independent entities placed in several machines. When an entity or an agent fails, it is the whole system that may be in a failure case. Through this paper, we will propose an approach that may guarantee fault tolerance in multi agents systems using two different techniques which are replication and exception handling. Replication... Multi agents systems are formed of different independent entities placed in several machines. When an entity or an agent fails, it is the whole system that may be in a failure case. Through this paper, we will propose an approach that may guarantee fault tolerance in multi agents systems using two different techniques which are replication and exception handling. Replication uses redundancy to handle the problem of failures, while, exception handling gives the possibility of recovery in case of fault signal. To use these two different mechanisms within the same system, we use the idea that a multi agents system has a global goal or a mission which it has to achieve; this global goal can be divided into sub goals that may be simple or complex. A simple goal is realized by one single agent that is considered in this case as an important agent and it is replicated. Exception handling is used in case of complex goals. Within this work, we define a complex goal as the one that must be realized by more than one agent. The major aim of our work is to create a strong multi agents system that may benefit of the two techniques proposed to guarantee fault tolerance. Read More Read Less

Abstract This paper focus on the control problem of unicycle mobile robot using regular approach. The potential field method is used to ensure robot navigation while avoiding obstacles present in the surrounding environment. Simulation and experimental tests are carried out on a “Boe Bot” mobile robot and proved the effectiveness of the studied method.... This paper focus on the control problem of unicycle mobile robot using regular approach. The potential field method is used to ensure robot navigation while avoiding obstacles present in the surrounding environment. Simulation and experimental tests are carried out on a “Boe Bot” mobile robot and proved the effectiveness of the studied method. Read More Read Less

Abstract Image segmentation is a fundamental technique in image processing systems such as a medical computer-aideddiagnosis system. We previously proposed a discrete-time oscillator network system with a degradation (posterization) system for dynamic image segmentation. This system can extract image regions with similar pixel values (connected components) from a given gray-scale image and exhibit extracted image regions in a time series. The... Image segmentation is a fundamental technique in image processing systems such as a medical computer-aideddiagnosis system. We previously proposed a discrete-time oscillator network system with a degradation (posterization) system for dynamic image segmentation. This system can extract image regions with similar pixel values (connected components) from a given gray-scale image and exhibit extracted image regions in a time series. The dynamics of the proposed system is described by ordinary difference equations. In spite of discrete-time system, our oscillator model can generate oscillatory responses like relaxation oscillations observed in ordinary differential equations. Dynamic image segmentation for a gray-scale image is performed according to posterization of pixel values and the synchronization of oscillatory responses from discrete-time oscillators. Since numerical integration is unnecessary to work the proposed system, its processing speed is significantly faster than that of another dynamic image-segmentation system consisting of ordinary differential equations. In this paper, for further speed-up of dynamic image-segmentation processing, we presented an implementation of the proposed system into a graphics processing unit. Read More Read Less

Abstract From this article we used “application the analyses of variance”, Anova technique, which equal to mean squares dividing by the mean squares of error, then applied the statistic study on the pathological image. After that, compeer the result obtained with student technique. The logicial applied is Matlab7.0 to extract the lesion by two way: distribution of Gaussian curve (hypothesis test... From this article we used “application the analyses of variance”, Anova technique, which equal to mean squares dividing by the mean squares of error, then applied the statistic study on the pathological image. After that, compeer the result obtained with student technique. The logicial applied is Matlab7.0 to extract the lesion by two way: distribution of Gaussian curve (hypothesis test of ho) and directly on the pathologique image. Read More Read Less