Buch, Englisch, 304 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1390 g
Buch, Englisch, 304 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1390 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-642-01208-2
Verlag: Springer
The 8th ACIS/IEEE International Conference on Computer and Information S- ence, held in Shanghai, China on June 1-3 is aimed at bringing together resear- ers and scientist, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. This publication captures just over 20 of the conference’s most promising papers, and we impatiently await the important contributions that we know these authors will bring to the field. In chapter 1, Abhijit Mustafi and P. K. Mahanti develop a contrast enhan- ment technique to recover an image within a given area, from a blurred and da- ness specimen, and improve visual quality. The author’s results are presented using developed technique on real images, which are hard to be contrasted by other conventional techniques. In chapter 2, Shahid Mumtaz et al. use an ad-hoc behavior in opportunistic - dio, to present how the overall system performance effect in terms of interference and routing. They develop a simulation tool that addresses the goal of analysis and assessment of UMTS TDD opportunistic radio system with ad hoc behavior in coexistence with a UMTS FDD primary cellular network. In chapter 3, Guoqing Zhang et al. propose a novel geocast routing protocol called GRUV for urban VANETs. GRUV adapts to the current network envir- ment by dynamically switching three forwarding approaches which are used to compute forwarding zones. Their simulations show GRUV performance compared with other geocast routing protocols.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
An Optimal Algorithm for Contrast Enhancement of Dark Images Using Genetic Algorithms.- Ad-Hoc Behavior in Opportunistic Radio.- Geocast Routing in Urban Vehicular Ad Hoc Networks.- Object-Oriented Ladder Logic Development Framework Based on the Unified Modeling Language.- An Evaluation of Technologies for the Pseudonymization of Medical Data.- Abnormal BGP Routing Dynamics Detection by Active Learning Using Bagging on Neural Networks.- Mining Subspace Clusters from Distributed Data.- Improving Distributed Semantic Search with Hybrid Topology and Peer Recommendation.- Spatial Semantic Analysis Based on a Cognitive Approach.- Formal Semantics of OWL-S with F-Logic.- Cache Offset Based Scheduling Strategy for P2P Streaming.- Audio ACP-Based Story Segmentation for TV News.- Study on Transform-Based Image Sharpening.- GEST: A Generator of ISO/IEC 15408 Security Target Templates.- A General Performance Evaluation Framework for Streaming Service over 3G/B3G.- The Stochastic Network Calculus Methodology.- Anti-spam Filter Based on Data Mining and Statistical Test.- vPMM: A Value Based Process Maturity Model.- Extracting Database Interactions and Generating Test for Web Applications.- Middleware Frameworks for Ubiquitous Computing Environment.- Structural Relationship Preservation in Volume Rendering.- Performance of Quasi-synchronous Frequency-Hopping Multiple-Access System with OFDM Scheme and Application of the No-Hit-Zone Codes.- Efficient DAG Scheduling with Resource-Aware Clustering for Heterogeneous Systems.- Research on Multilingual Indexing and Query Processing in Uyghur, Kazak, and Kyrgyz Multilingual Information Retrieval System.- A Proof System for Projection Temporal Logic.- Investigation into TCP Congestion Control Performance for a Wireless ISP.- Capacity of Memory and Error Correction Capability in Chaotic Neural Networks with Incremental Learning.
