This paper investigates a combinatorial optimization model for the flight conflict resolution problem. The collision avoidance problem is solved by changing the maneuvering dimensions of aircraft. In this paper, a new...
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Targeting at the truck scheduling in the process of container terminal operations, a dynamic truck scheduling model with strong applicability is designed to reduce truck-load rate, and shorten the time of handling tas...
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Policy-based management technology is getting more and more attention. Policy specification is a difficulty in this field recently. Ponder2 system developed by Imperial College implements the policy management archite...
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In recent years, the rapid development of mobile network and device promotes the investigation of mobile thin client technology. Based on the surveys in this field, we found that the codec used in the thin client prot...
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Multicast sessions are expected to be an efficient communication scheme especially for multimedia applications in mobile ad hoc networks. In this paper, we propose a new resource allocation algorithm for wireless ad h...
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Finite mixture models have largely been used for providing a convenient format framework for clustering and classification for multivariate data. But most of these models assume that the number of components in mixtur...
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ISBN:
(纸本)9781467300889
Finite mixture models have largely been used for providing a convenient format framework for clustering and classification for multivariate data. But most of these models assume that the number of components in mixture model is known in advance. To resolve this issue, we introduce a novel nonparametric Bayesian clustering model, is called Gaussian Dirichlet process mixture model, for the automatic clustering algorithm of multivariate data, and we have also described an efficient variational Bayesian inference algorithm for the proposed model. We apply it to a series of various clustering problems, demonstrating its advantages over existing methodologies.
The minimum Steiner tree problem, a classical combinatorial optimization problem with a long history, is a NP-complete problem. Due to its wide application, study of heuristic algorithm about Steiner tree problem has ...
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In this paper we present an approach which is an alternative to compression algorithms in vogue such as Huffman encoding, arithmetic encoding, the Lempel-Ziv family, Dynamic Markov Compression (DMC), Prediction by Par...
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Petri nets can be used to build an executable model of software system, to support the simulation of model, to ensure the accuracy and reliability of software system. This paper brings forward the transformation rules...
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Most improved DV-Hop algorithms focus on the localization accuracy while underemphasize the energy conservation. In order to enhance the energy saving of wireless sensor networks, these algorithms need to be further i...
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