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As a significant step for vertical handover, optimal decision for network selection has been attracting high and sustaining attention over the past decade, especially on the topic of meeting user's rapidly increased requirements. However, the instability of the basic decisive parameters is ignored in most of the investigations, which might finally lead to a high misjudgement ratio. Therefore, great...
In robot soccer simulation team, how to select a proper behavior for a player among shoot, dribbling and passing is a key issue. This paper proposes a more flexible behavior selecting strategy. In the strategy, the fuzzy-algorithm is used to deal with behavior selecting issue. Because the environment of the robot soccer is complicated, with this algorithm it's not necessary to build a precise mathematic...
The design and realization method of fuel systems simulation is introduced in this paper. It is based on components. It is used for fuel system design,operational flow analysis and decision-making assistant. At first, visual controls of several devices in fuel systems are constructed using ActiveX technology. Then these visual controls are built together for real fuel system. With this method, this...
Adversarial decision making is aimed at finding strategies for dealing with an adversary who observes our decisions and tries to learn our behaviour pattern. This contribution extends a simple mathematical model with strategies that vary along time, and motivates the use of heuristic search procedures to address the problem of finding good strategies within this new search space. The evaluation of...
As an important parameter, up to day, many strategies for cognitive coefficient have been proposed. However, there is still some work need to do. Since each particle maintains different living experience e.g. feeding, nursing baby and so on. Thus different individual will make a different decision. However, this decision mechanism is not included in the improved particle swarm optimization (PSO)....
Sensor networks specifications are highly dependent on the application defined for the network. Some networks need full coverage while others can fulfill their goal with a partial coverage. Therefore it is important to have an algorithm which can satisfy full range of requirements as a universal solution. Thus a new pre-specified coverage method has been introduced which can be applied in very vast...
This paper presents a new impulse noise detection and removal technique based on applying dynamic optimal partitioning (OP) to a set of neighborhoods of a pixel whose noise identity is in question. Using the nature of the impulse noise, and by gathering collaborating information from different directions around it, a pixel is deemed either noisy or normal. If the pixel is classified as noise, then...
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