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This paper proposes a novel algorithm to improve the lifetime of wireless sensor network. This algorithm employs compressive sensing in conjunction with Particle Swarm Optimization algorithm to decrease the communication rate and to build up the data aggregation trees respectively. We build up the data aggregation tree in a way that it can be utilized to maximize the efficiency by rectifying the delay...
A new two-channel perceptually motivated subspace-based approach is proposed for the enhancement of speech corrupted by noise. The proposed approach takes into account the frequency masking properties of the human auditory system and reduces perceptual effects of the residual noise. The perceptually constrained Quotient Singular Value Decomposition (PCQSVD) method, uses the Particle Swarm Optimization...
In this paper, we propose a novel algorithm to enhance the noisy speech in the framework of dual-channel speech enhancement. The new method is a hybrid optimization algorithm, which employs the combination of the conventional θ-PSO and the shuffled sub-swarms particle optimization (SSPSO) technique. It is known that the θ-PSO algorithm has better optimization performance than standard PSO algorithm,...
Data clustering has been applied in multiple fields such as machine learning, data mining, wireless sensor networks and pattern recognition. One of the most famous clustering approaches is K-means which effectively has been used in many clustering problems, but this algorithm has some problems such as local optimal convergence and initial point sensitivity. Artificial fishes swarm algorithm (AFSA)...
In this article, a new algorithm which is obtained by hybridizing cellular learning automata and artificial fish swarm algorithm (AFSA) is proposed for optimization in continuous and static environments. In the proposed algorithm, each dimension of search space is assigned to one cell of cellular learning automata and in each cell a swarm of artificial fishes are located which have the optimization...
Word and concept similarity assessment is one of the most important elements in natural language processing and information and knowledge retrieval. WordNet, as a popular concept hierarchy, is used in many such applications. Similarity of words in WordNet is also considered in recent researches. One of the new researches that uses WordNet, has calculated similarity between each two words by considering...
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