Morteza AnaLoui

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By day to day developing the grid systems, it is necessary to apply new methods for allocating the resources to achieving the high performance in heterogeneous computing environment. This paper aims to seeking for a new approach by which one can allocate the tasks using a modified version of Ant Colony Optimization algorithm such that this algorithm cannot(More)
Analysis and control of nonlinear dynamical models of Internet congestion control system has been an interested issue in recent years. In this paper the bifurcation behavior of the TCP-like model of Internet congestion control system including TCP and AQM is investigated. In particular, the effects of system parameters on nonlinear dynamical behavior and(More)
A mobile Ad-Hoc network is a collection of wireless mobile nodes, dynamically forming a temporary network without the use of any existing network infrastructure or centralized Administration. Providing security support for mobile Ad-Hoc networks is hard to achieve due to the vulnerability of the links, the limited physical protection of the nodes, and also(More)
In this paper we introduce an efficient genetic algorithm based voice activity detection (GA-VAD) algorithm. The inputs for GA-VAD are zero-crossing difference and a new feature that is extracted from signal envelope parameter, called MULSE (multiplication of upper and lower signal envelope). The voice activity decision is obtained using a Threshold(More)
Base classifier's classification error and diversity are key factors in performance of ensemble methods. There is usually a trade-off between classification error and diversity in ensemble methods. Decreasing classification error of base classifiers usually makes them less diverse while increasing diversity, results in less accurate base classifiers. This(More)
Nowadays one of the most important challenges for integrated systems such as social networks is the evaluation of trust for agents which are interacting with each other in the environment. It plays an important role that the trust has been evaluated from the agent's experiences. In this paper, we propose a new mathematical approach based on the entropy of(More)
In this paper processing of sonar signals using data based approaches such as neural networks are used to differentiation of commonly met features in indoor robot environments is investigated. Amplitude and time-of-flight (TOF) characteristics of five various targets at some distances and angles are employed. Three types of neural networks are studied in(More)
Tagging in online social networks is very popular these days, as it facilitates search and retrieval of diverse resources available on-line. However, noisy and spam annotations often make it difficult to perform an efficient search. Users may make mistakes in tagging and irrelevant tags and resources may be maliciously added for advertisement or(More)