Volume 4 Number 9 (Sep. 2009)
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Guest Editorial: Special Issue on Selected Papers of the 9th International Conference for Young Computer Scientists (ICYCS 2008)

Guest Editors: Huadong Ma and Guojun Wang
    The theme of the 9th International Conference for Young Computer Scientists (ICYCS 2008) is Computer and Communications Frontiers (CCF). The combination of computing technologies and communications services will benefit modern people with more convenient and better lives. Following the tradition and success of previous ICYCS conferences, ICYCS 2008 provides an international forum for scientists and engineers in academia and industry to exchange and discuss their experiences, new ideas, research results, and applications on all aspects of computer science and technology and its related disciplines. We selected 10 papers with extensive extensions from the conference for publication in this special issue.
    In the first paper entitled “Measuring Software Component Reusability by Coupling and Cohesion Metrics”, G. Gui and Paul. D. Scott proposed a set of new static metrics of coupling and cohesion developed to assess the reusability of Java components retrieved from the Internet by a software component search engine. These metrics differ from the majority of established metrics in three respects: they measure the degree to which entities are coupled or resemble each other, they quantitatively take account of indirect coupling and cohesion relationship, and they also reflect the functional complexity of classes and methods.
    In the second paper entitled “A Method for Surface Reconstruction Based on Support Vector Machine”, Lianwei Zhang, Wei Wang, Yan Li, Xiaolin Liu, Meiping Shi, and Hangen He proposed a method for reconstructing surface based on support vector machine (SVM). In order to overcome the inefficiency of SVM, a feature-preserved nonuniform simplification method is employed to simplify cloud points set, which is reduced while the feature is preserved after simplification. Then a reconstruction method based on segmented data is proposed to accelerate SVM regression process from cloud data.
    In the third paper entitled “Distribution Network Reconfiguration Based on Particle Clonal Genetic Algorithm”, Yemei Qin and Ji Wang proposed particle clonal genetic algorithm (PCGA) to build particle swarm algorithm (PSO) mutation operator in order to solve mutation probability and slow the convergence of clonal genetic algorithm (CGA) in the later stage. PCGA avoids the premature convergence of PSO and the blindness of CGA. The global optimal solution can be obtained with fewer generations and shorter searching time. In the fourth paper entitled “Visually Lossless Accuracy of Motion Vector in Overcomplete Wavelet-based Scalable Video Coding”, Chuan-Ming Song, Xiang-Hai Wang, and Fuyan Zhang proposed a visually lossless accuracy model for scalable coding of motion vectors in overcomplete wavelet-based scalable video codec. By exploiting theory of stationary random process, this paper first estimated motion compensation errors in spatial domain due to inaccurate motion vectors. This paper then extended the results to overcomplete wavelet domain, and further derived the errors caused by fraction-pixel motion vectors. Finally, by combining with a visibility model of wavelet coefficient errors, this paper proposed a novel algorithm to estimate the accuracy threshold of motion vectors with which motion compensation errors will be invisible.
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General Information

ISSN: 1796-203X
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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