By Xiaofeng Guo, Zhigong Wu (auth.), Wenjiang Du (eds.)

ISBN-10: 1447148010

ISBN-13: 9781447148012

ISBN-10: 1447148029

ISBN-13: 9781447148029

The overseas convention on Informatics and administration technological know-how (IMS) 2012 could be hung on November 16-19, 2012, in Chongqing, China, that's equipped by means of Chongqing common collage, Chongqing collage, Shanghai Jiao Tong collage, Nanyang Technological college, college of Michigan, Chongqing collage of Arts and Sciences, and subsidized by means of nationwide average technological know-how origin of China (NSFC). the target of IMS 2012 is to facilitate an trade of knowledge on top practices for the most recent examine advances in quite a number components. Informatics and administration technology contains over six hundred contributions to signify and encourage ideas and strategies drawing from a number of disciplines including:

· desktop technology

· Communications and electric Engineering

· administration Science

· carrier Science

· enterprise Intelligence

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We define an access component of the unified access platform subsystem in earthquake precursor network observation system to achieve the interceptor function. Checking the synchronization flag of the data access interface, database operation logs can be saved to the virtual log table. We define modification sequence of the record with primary key id which is in table P from data operation log table as Sequence (T, v). With the compression of Sequence (T, v), we can effectively reduce the data transmission amount in data synchronization process.

T) The first step: according to the combination Eq. 3), combining the information of evaluating the index Cl of target G j by m experts, thereby to get the probability assignment function m i j l (h k ) = ci j lk. The second step: grading different evaluation rank of each index, and then multiplying m i j l h k by H = h 1 , h 2 , . . , h t correspondingly, thus to get the comprehensive evaluation value m j l of each target. L. Wang et al. 4 Target Selection Model Based on RBF Neural Network According to the target selection index system, we construct a target selection model based on RBF neural network to identify whether the target is selected.

C7 } represents the set of target option indexes; H = h 1 , h 2 , . . , h t represents the set of index evaluation ranks; Ci j lk represents the value of evaluating the index Cl of target G j by expert Pi according to the evaluation rank h k, here, provide 0 ≤ Ci j k ≤ 1 (i = 1, 2, . . , m; j = 1, 2, . . , n; l = 1, 2, . . , 7; k = 1, 2, . . , t) The first step: according to the combination Eq. 3), combining the information of evaluating the index Cl of target G j by m experts, thereby to get the probability assignment function m i j l (h k ) = ci j lk.

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Informatics and Management Science I by Xiaofeng Guo, Zhigong Wu (auth.), Wenjiang Du (eds.)


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