By Daowen Qiu (auth.), De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo (eds.)

This e-book - along side the 2 volumes CCIS 0015 and LNAI 5226 - constitutes the refereed lawsuits of the 4th foreign convention on clever Computing, ICIC 2008, held in Shanghai, China, in September 2008.

The 152 revised complete papers of this quantity have been rigorously reviewed and chosen from a complete of 2336 submissions. The papers are equipped in topical sections on organic and quantum computing, clever computing in bioinformatics, computational genomics and proteomics, clever computing in sign processing, clever computing in development popularity, clever computing in conversation, clever agent and net functions, clever fault prognosis, clever keep an eye on and automation, clever facts fusion and protection, clever prediction and time sequence research, common language processing and specialist structures, clever image/document retrievals, network-based intelligence and automation, clever robotic platforms in accordance with imaginative and prescient know-how, and computational intelligence for picture analysis.

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Additional resources for Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues: 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings

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Huang et al. ): ICIC 2008, LNCS 5226, pp. 23–30, 2008. N. 1 Error Correction In data communication, noise usually occurs and is mostly generated from the channel in which transmitted data are communicated. Such noise corrupts sent messages from one end and thus noisy erroneous messages are received on the other end. To solve the problem of extracting a correct message from its erroneous counterpart, noise must be modeled and accordingly an appropriate encoding / decoding communication schemes must be implemented [4].

Quantum Computation and Quantum Information. Cambridge University Prss, Cambridge (2000) 4. : Principles of Digital Communication and Coding. McGraw-Hill, New York (1979) A Hybrid Quantum-Inspired Evolutionary Algorithm for Capacitated Vehicle Routing Problem Jing-Ling Zhang1, Yan-Wei Zhao1, Dian-Jun Peng1, and Wan-Liang Wang2 1 Key Laboratory of Mechanical Manufacture and Automation of Ministry of Education, Zhejiang Univ. of Tech, Hangzhou, 310032, China 2 College of Information Engineering, Zhejiang Univ.

The quantum comparator can be synthesized using a quantum subtractor and a Fredkin gate. The symbol ⊕ is logic XOR (exclusive OR; modulo-2 addition), ∧ is logic AND, ∨ is logic OR, and ′ is logic NOT. , multiplexer) to be both used in one possible design of the corresponding comparator. Figure 1 shows the various quantum circuits for the quantum realization of each quantum trellis node in the corresponding (reversible) Viterbi algorithm. Figures 1a-1c present fundamental quantum gates [1,3]. Figures 1d-1g show basic quantum arithmetic circuits of: quantum subtractor (Figure 1d), quantum half-adder (Figure 1e), quantum full-adder (Figure 1f), and quantum equality-based comparator (Figure 1g).

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