Hosts in mobile ad hoc networks (MANET) are capable of self-configuration and they can migrate at will, which makes the network topology highly dynamic. Thus, routes may break easily since the data session fails when ...
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This paper proposes a filtering technology based on content. This technology constructs an estimation function, and estimates the candidate properties, then chooses several properties with the highest value which are ...
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This paper proposes a filtering technology based on content. This technology constructs an estimation function, and estimates the candidate properties, then chooses several properties with the highest value which are used by all documents in the document set. At the same time, it can get the characteristics which have low frequency in counter samples but high frequency in consistent samples, and those which have low frequency in consistent samples but high frequency in counter samples by calculating increase of information. And then, it can choose several unlisted words as new keywords which have higher information increase and have not been used as keywords, and audit and filtering of network information at last.
Particle swarm optimization (PSO) simulates the behaviors of birds ocking and £sh schooling. However, its biological background does not concern the environmental affection. Inspired by the interaction between en...
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Velocity threshold is an important parameter to affect the performance of particle swarm optimization. In this paper, a novel velocity threshold automation strategy is proposed by incorporated with Leávy probabil...
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Vivid facial expressions contribute greatly to the visual realism of 3D face models. However, it is often tedious and expensive to model facial details which are authentic and real-time. In this paper, a simple and fu...
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Vivid facial expressions contribute greatly to the visual realism of 3D face models. However, it is often tedious and expensive to model facial details which are authentic and real-time. In this paper, a simple and functional approach for modeling dynamic wrinkles of face is introduced. Started with structured facial mesh, we divide face region into some wrinkle subregions, and create some wrinkle lines with our algorithm in these subregions. Then, some key nodes are labeled on the facial mesh, these key nodes affect wrinkle lines if wrinkle lines locate the subregions that abut on the key nodes. With our algorithm, motion of wrinkle lines is produced by movement of key nodes. Consequently, wrinkle lines drive facial mesh to model expressive wrinkles. In this way, we create dynamic and functional expressive wrinkles of individuals available to date and demonstrate their use in facial animation.
FAQ(Frequently-asked Question) is a good question and answer model to realize business advisory system in restricted domain.A FAQ question answering system model is presented in this *** the help of the idea of ontolo...
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FAQ(Frequently-asked Question) is a good question and answer model to realize business advisory system in restricted domain.A FAQ question answering system model is presented in this *** the help of the idea of ontology, a knowledge base is constructed in the *** the help of language KDML (Knowledge Database Mark-up Language) of HowNet,the domain ontology and the relationship of it are defined and described, and the fusion of domain knowledge base (Domain HowNet) and common knowledge base(HowNet) is *** this basis, a question similarity calculation method, which makes use of the characteristics of the domain question and combines lexical relationship, syntactic interdependent relationship and the semantic relationship of domains among question sentences, is *** based on the question similarity calculation, retrieval of related question from the candidate question set and extraction of answers can be implemented with this *** result of Yunnan tourism question-answer model experiment shows that this method is feasible and effective.
Particle swarm optimization (PSO) simulates the behaviors of birds ocking and poundsh schooling. However, its biological background does not concern the environmental affection. Inspired by the interaction between env...
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Particle swarm optimization (PSO) simulates the behaviors of birds ocking and poundsh schooling. However, its biological background does not concern the environmental affection. Inspired by the interaction between environment and individuals, a new version - self-learning particle swarm optimization based on environmental feedback (SL-PSO), is proposed, in which two self-learning strategies are designed so that each particle adjusts its moving direction according to the feedback information from the environment. Furthermore, a mutation operator is introduced to avoid premature convergence phenomenon. Simulation results show the proposed algorithm is effective and efpoundcient.
Velocity update equation of standard particle swarm optimization uses only the size information of previous velocity vector whereas ignoring the corresponding direction information. By adding predictive velocity, a ne...
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ISBN:
(纸本)7900719229
Velocity update equation of standard particle swarm optimization uses only the size information of previous velocity vector whereas ignoring the corresponding direction information. By adding predictive velocity, a new predictive-velocity modified particle swarm optimization (PVPSO) which using the size and direction information of velocity vectors to estimate and correct particle's next generation positions is proposed. Theoretical analysis proofs the new algorithm owns an enhanced global search capability. The optimization computing of some examples is made to show that the PVPSO has better global search capacity and rapid convergence speed.
As a new version of particle swarm optimization (PSO), PID-controlled PSO introduces the concept of controller into the algorithm structure. However, with the introduction of PID controller, three additional parameter...
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ISBN:
(纸本)7900719229
As a new version of particle swarm optimization (PSO), PID-controlled PSO introduces the concept of controller into the algorithm structure. However, with the introduction of PID controller, three additional parameters are incorporated into the algorithm. Thus, how to provide a proper selection of these parameters is an important problem to affect the algorithm efficiency. In this paper, the relationships among these parameters are conducted by the stability theory. Further, a self-adaptive parameter selection strategy is proposed. Simulation results show the proposed strategy is effective.
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