Abstract This paper has been specially oriented towards the study of mobility and QOS between WiMAX and UMTS networks. We use three kinds of comparison algorithms. This has been implemented in a simulator of our design in order to evaluate in a situation of mobility in a heterogeneous network. Following the simulations, the results show that in terms of performance in... This paper has been specially oriented towards the study of mobility and QOS between WiMAX and UMTS networks. We use three kinds of comparison algorithms. This has been implemented in a simulator of our design in order to evaluate in a situation of mobility in a heterogeneous network. Following the simulations, the results show that in terms of performance in the context of the conversation WiMAX networks is superior than UMTS. Read More Read Less

Abstract Personal branding is a new marketing concept related to the marketing strategies that a person adopts in order to promote his self in the competitive market place. The popularization of personal branding is generally attributed to the rising of the Web 2.0. We propose a theoretical foundation for online personal branding by using the dramaturgical framework of Goffman (1959). Building... Personal branding is a new marketing concept related to the marketing strategies that a person adopts in order to promote his self in the competitive market place. The popularization of personal branding is generally attributed to the rising of the Web 2.0. We propose a theoretical foundation for online personal branding by using the dramaturgical framework of Goffman (1959). Building a personal brand involves creating a personal, performing a digital portrait using strategic reveal of information to make an image accessible to a networked audience, this self requires constant self-surveillance and monitoring in a day-to-day life. Personal branding is a formula for the achievement of personal and professional success in the competitive market place. Read More Read Less

Abstract In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters for Takagi-Sugeno (T-S) fuzzy model using a Modified Particle Swarm Optimization (MPSO) with random inertia weight algorithm is presented. In this scheme, an inertia weight of PSO is randomly adjusted during searching process to overcome the difficulties of the method of selecting inertia weight and... In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters for Takagi-Sugeno (T-S) fuzzy model using a Modified Particle Swarm Optimization (MPSO) with random inertia weight algorithm is presented. In this scheme, an inertia weight of PSO is randomly adjusted during searching process to overcome the difficulties of the method of selecting inertia weight and to improve the performance of the standard PSO. The performance of the self-tuning PID controller based on MPSO has been tested on academic nonlinear system. Read More Read Less

Abstract We are trying, through this paper, to expose emotion recognition approaches. In fact, the facial expressions analysis in computer vision is complicated by the variety of faces from one person to another, as well as problems related to the recording, such as lighting, the position of the face relative to the camera, and occlusions. In the context of the dynamic... We are trying, through this paper, to expose emotion recognition approaches. In fact, the facial expressions analysis in computer vision is complicated by the variety of faces from one person to another, as well as problems related to the recording, such as lighting, the position of the face relative to the camera, and occlusions. In the context of the dynamic approaches, we can distinguish two different directions of research: the holistic approaches, where we analyze the face in its entirety, and the local approaches, where we concentrate on facial characteristics representing facial expressions. The relevant characteristic points are in particular eyes, eyebrows, mouth, and possibly the front. In general, the holistic methods are better to determine the expressions in their set, whereas the local methods can detect more subtle changes. Among the various dynamic methods, we find dense Optical flow, applied holistically. This method has also been applied locally by estimating the activity of several facial muscles. The calculation is performed in each window around the selected region of interest. Read More Read Less

Abstract This paper proposes an Artificial Neural Network based approach for implementing Automatic Signature verification and authentication system. In this era, with the rapid growth of Internet and the necessity of localized verification systems, handwritten signature has become an important biometric feature for the purpose of verification and authentication. The proposed method comprises spatial and frequency domain techniques for transformation. After... This paper proposes an Artificial Neural Network based approach for implementing Automatic Signature verification and authentication system. In this era, with the rapid growth of Internet and the necessity of localized verification systems, handwritten signature has become an important biometric feature for the purpose of verification and authentication. The proposed method comprises spatial and frequency domain techniques for transformation. After extracting the Region of Interest Ripplet-II Transformation, Fractal Dimension and Log Polar Transformation are carried out to extract descriptors of the concerned signature to be verified as well as authenticated. In decision making stage Feed Forward Back Propagation Neural Network is used for verification and authentication purpose. This system has been tested with large sample of signatures to show its verification accuracy and the results have been found around 96.15%. Also forgery detection rate has been found 92% which is very encouraging. False Acceptance Rate and False Rejection rate of our system has been determined 5.28% and 2.56% respectively. This approach has been compared with some existing system and it has been observed that this system shows better performance. Read More Read Less