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The paper presents a novel Three-tier Parallel Simulated Annealing algorithm with Memory function (TPSAM) based on multi-core computer with Threading Building Blocks (TBB). The purpose of a new memory function is not to trap into a local optimization. TPSAM is decomposed into three-tier: data decomposition parallelism, task processing parallelism and data composition parallelism and it can improve...
Registration of point clouds from terrestrial laser scanners plays the key role in feature extraction, 3D object modeling and 3D scene classification. An automated registration algorithm of pair-wise point clouds is presented, which is based on multi-resolution data created from raw point clouds, using geometric properties and point to point improved adjustment method, iteratively calculates six transformation...
As the key objects of interest, cylinders such as pipes or circular pillars abound especially in the point cloud of terrestrial laser scanner(TLS). Therefore, the efficient reconstruction of these circular primitives has been very important to point cloud processing. Based on the study of fitting methods for cylinders abundant in unorganized point cloud, a new method using region growing for cylinder...
The paper presents one novel algorithms: Parallel Floyd-Warshall algorithm(PF) based on multi-core computer with Threading Building Blocks (TBB). TBB offers a rich and complete approach to express parallelism in a C++ program. Serial Floyd-Warshall algorithm(SF) and PF are implemented and verified with TBB for the all-pairs shortest path problem. Experiments show that the efficiency of multi-threaded...
Due to privacy law and motivation of business interests, privacy is concerned and has become an important issue in data mining. This paper explores the issue of privacy-preserving distributed association rule mining in vertically partitioned data among multiple parties, and proposes a collusion-resistant algorithm of distributed association rule mining based on the Shamir's secret sharing technique,...
Illumination estimation for color constancy is an important problem in computer vision. Existing algorithms can be divided into two groups: physics-based algorithms and statistics-based approaches. In this paper, the advantages of the two kinds are integrated. At first, a novel statistic-based algorithm called Illumination Estimation using K-nearest-neighbor (IE-KNN) is proposed. And then the physics-based...
Side-looking SAR cannot image targets in flight direction. Introduced here is the bistatic missile-borne forward-looking SAR system, as an efficient approach to forward-looking SAR imaging. According to the spatial geometry and the model of echo signal, the signal spectrum derived by the method of series reversion, the phase compensation factors and the realized step of the proposed algorithm are...
Electronic business has made logistics collaboration more and more important. Electronic logistic (e-logistic) as an open electronic platform can realize logistics collaboration. Workflow management system (WFMS) supports the operation of e-logistic. Exact logistic business process can ensure the normal running of WFMS. With the constantly change of logistic environment, logistic business process...
Decision Suppose System is playing an important role in computer science, technology and engineering, while intelligent decision-making is one of the current hotspots. Intelligent decision-making methods and their algorithms are one of the most important basics and key cores in intelligent information processing, intelligent pervasive computing and so on. In view of multi-attribute decision-making...
Because the existing fusion methods based on network-delay often use the traditional synchronous fusion algorithms directly, it inevitably induces some problems, such as information delay, resource free, and bad real-time performance etc.. Aiming at above problems this paper combined the predictive estimate with the technology of sequential weighted fusion at the basis of the existing research. Accordingly,...
The researches on feature selection play a very important role in the area of classification. In this paper, we introduce a heuristic wrapper method: Classification Contribution-Ratio Based Selection (CCRS). Using RBF neural network as a classifier, we did our experiments on a data set of 74 features extracted from 517 Chinese folk songs which come from 10 regions. The results show that Root Mean...
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