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During orbital operations of the space station, several test missions require astronauts to conduct extravehicular activities. Because of the limitations of man-hours and resources such as extravehicular spacesuits, the overall programming of spacewalk events is a critical issue to address in operation mission planning for the space station. Based on the theory of bin packing, this paper establishes...
Non-linear time series models, such as regime-switching (RS), have become increasingly popular in economics. In the literature, regime-switching recurrent reinforcement learning (RS-RRL), a combined technique of statistical modeling and machine learning, has been proposed to build financial trading platforms and enhance trading profits by modeling the nonlinear dynamics of stock returns with smooth...
The rectilinear Steiner minimum tree problem asks for a shortest tree connecting given points in the plane with rectilinear distance which has extensive applications in real world and is known to be NP-complete. Because of the intrinsic characteristic of the hard computability, this problem cannot be solved accurately by efficient algorithms up to now. The stochastic diffusion search algorithm is...
The most outstanding feature of emergency distribution is time urgency. Decision maker should use less time to complete the distribution scheme which should guarantee the materials reach the emergency site with less time. At this time it is especially important to choose the optimal path in the decision-making process. This article builds up mathematical model which is based on the emergency logistics...
Wireless mesh networks (WMNs) have gained tremendous popularity as a cost effective and reliable solution to last-mile broadband Internet connectivity. However, the network design without global information is a challenging task. We study the optimal network topology design problem in WMNs and propose an ant-based cognitive networking algorithm to search a topology with the minimum cost while guaranteeing...
Web Services is an effective way to realize service-oriented architecture. In order to enhance user experience, it is one of the key problems to respond client requests quickly when lots of data is required from the server. Based on modular classification and multi-threading transfer principle, a new method transmitting large data is proposed in this paper after network transmission feature is analyzed...
Reducing dimension processing is needed in feature samples because the repeated and secondary features would reduce the classification ability and increase computation complexity. In this paper, a feature selection method, named MPSO (Modified Particle Swarm Optimization), is proposed. The original group velocity of a particle swarm was changed into two separate and parallel particle swarm velocity,...
Content Distribution is a key application in an infrastructure-based wireless network. Existing works on this area use either pure broadcast transmission or pure unicast transmission. In this paper, we propose a hybrid broadcast-unicast transmission scheme to improve the efficiency of content distribution for wireless networks with multi-rate support. In the proposed scheme, access point broadcast...
The researches and applications on ant colony algorithm have made great progress in recent years. A number of results have proved the validity of the algorithm and its advantages in some fields. However, its basic shortcomings, which are long searching time and easily jumping into local optimal solution, have not been completely solved. This paper analyzes the reasons of stagnation and then introduces...
The IEEE 802.16e is a compatible and reasonable technology to solve the last mile access problem. Since the multiple services in the system are connection-oriented, it is crucial to provide effective admission control and resource allocation mechanisms to guarantee the quality of service (QoS) of the system. In this paper, we investigate the joint bandwidth reservation and admission control in the...
Biclustering techniques, for simultaneous row-column clustering, are widely used in the analysis of the gene expression data. Many different biclustering techniques have been proposed, such as the iterative signature algorithm (ISA) (Bergmann et al., 2003), global biclustering (Wolf et al., 2006), evolutionary fuzzy biclustering (Mitra et al., 2007), etc. Among these techniques, the plaid model is...
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