Abstract. This article proposes a method to solve route plan problem of unmanned underwater vehicle (UUV) using particle swarm optimization (PSO). Firstly, traditional electronic nautical map is preprocessed to decrease calculated amount in computation of route cost and improve plan instantaneity using technique of threaten circles covering. Secondly, choose appropriate route expression and cost computation. Lastly, route with minimum cost is received using particle swarm optimization. Result indicates that particle swarm optimization based on swarm intelligence can insure optimality most out of limited computation time, relative to traditional method using graph theory and dynamic programming.
Exploring eco-friendly and cost-effective strategies for structure engineering at nanoscale is powerful for boosting heterogeneous catalysis but is still under a long-standing challenge. Herein, multifunctional polyphenol tannic acid, low-cost natural...
Application layer vulnerabilities represent a substantial portion of the security exposures of computer networks. In this paper, we explore the effectiveness of HTTP-session model to effectively describe web access behavior. HTTP-sessions are extracted from http requests as accessed by users. Based on the HTTP-session model and the analysis of web based attacks, we present an active anomaly detection framework to detect web based attacks. We demonstrate the effectiveness of the proposed methods via simulation studies using real-world web access requests. The result shows that our methods can effectively detect the application layer attacks.
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