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Cooperative Co-evolutionary (CC) techniques have demonstrated the promising performance in dealing with large-scale optimization problems. However, in many applications, their performance may drop due to the presence of imbalanced contributions to the objective function value from different subsets of decision variables. To remedy this drawback, Contribution-Based Cooperative Co-evolutionary (CBCC)...
In the group application, poor multicast trees might be built in some join sequences. Additionally, group members are dynamic, which sometimes brings negative influence on the multicast tree. This paper analyzes the poor shapes of multicast trees, and proposes an additional improvement scheme to enhance the multicast performance. The proposed scheme rearranges the locations of members in terms of...
A vehicle detection algorithm based on Bispectral entropy is proposed in this paper. Based on quadratic-phase coupling(QPC) analysis, Bispectral entropy, as the complexity measure of bispectra, is calculated from the vehicle acoustic signal database which is acquired in several real world experiments. Furthermore, an effective bispectral entropy-based algorithm is developed for vehicle detection....
Many proposed solutions employ distributed depth-first-searching (DFS) approach to implement positioning in application layer multicast. In DFS-based delivery tree building approaches, the newcomer need not know the information of other members except the root, and positioning can be easily implemented. However, the DFS approach cannot effectively position a host in some cases because it usually selects...
SIP based VoIP is a key enabling technology for the migration of circuit-switched PSTN architecture to packet-based networks. But the real world did not choose to implement and deploy SIP as initially envisioned by their inventors. The reason is ascribed to SIP spam and accounting problems. The root of this problem is SIP is an Email like protocol, no trust relationship between SIP communication partners...
The measurement and structure of a database of distance-dependent head-related transfer function is introduced in this paper. This database was setup by measuring a high spatial resolution head-related transfer function at a total of 6344 space points, with distance from 20 to 160 cm, elevation from -40 to 90 degrees, and azimuth from 0 to 360 degrees. The databasepsilas reliability was confirmed...
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