Self-Adaptive ACA Searching Algorithm

Yong Wang; Feng Du

doi:10.4028/www.scientific.net/AMM.644-650.2112

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Self-Adaptive ACA Searching Algorithm

Self-Adaptive ACA Searching Algorithm

Abstract:

With the development of science and technology and the popularity of intelligence, government departments, schools, enterprises and institutions are all conducting the intelligent upgrade for archives to replace the complex manual labor. However, there are still many problems to be solved during the process of the construction. This paper mainly introduces how to retrieve files from the data pool more quickly by applying the self-adaptive ACA retrieval algorithm^[1,2]. At the same time, it will briefly introduce the principle of the SHA_1 encrypted data as well as the process of how this system realizes the wireless searching and positioning.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

2112-2115

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.2112

Citation:

Cite this paper

Online since:

September 2014

Authors:

Yong Wang*, Feng Du

Keywords:

Data Encryption, Self-Adaptive ACA Retrieval Algorithm, Wireless Precise Positioning

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* - Corresponding Author

References

[1] Gangli Qin, Jianying Xie: Adaptive pheromone ant colony algorithm(Information and Control, 2002).

Google Scholar

[2] Ying Wang, Jianying Xie: An adaptive ant colony algorithm and its simulation(System Simulation, 2002).

Google Scholar

[3] David A. Grossman, Ophir Frieder: Information Retrieval: Algorithms and Heuristics Second Edition(People Post Press, 2010, p.49~52).

Google Scholar

[4] Dejun Lee, Xiaohui Ma: Home security monitoring system design is based on Arduino platform(Technology and Life, 2011 , p.114).

Google Scholar

[5] Renkun Yin, Yonglei Tao, Ruoyang Xie, etc. Data structure - an object-oriented approach with C + + Description (Tsinghua University Press, 1999).

Google Scholar

[6] Yanjun Li, Tiejun Wu: Self-adaptive ant colony system algorithm for continuous space optimization problems(Pattern recognition and artificial intelligence, 2001, p.423~425).

Google Scholar

[7] Dorigo M, Bonabeau E, Theraulaz G: Ant algorithms and stigmergy(Future Generation Computer Systems, 2000, 16(8): 851~870).

DOI: 10.1016/s0167-739x(00)00042-x

Google Scholar

[8] Eyckelhof C J: Ant systems for dynamic problems(University of Twente, 2001).

Google Scholar