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By Lianfang Zhu, Ligang Dong, Chuanhuang Li (auth.), Haenakon Kim (eds.)

ISBN-10: 364229636X

ISBN-13: 9783642296369

ISBN-10: 3642296378

ISBN-13: 9783642296376

This ebook Advances in expertise and administration comprises 116 complete size papers provided on the foreign convention on expertise and administration, hung on June 12-13, 2012, Jeju-Island, Korea. The target of ICTAM 2012 is to assemble researchers operating in lots of diversified parts of know-how and administration to foster foreign collaborations and alternate of recent ideas.

This quantity should be divided into sections at the foundation of the class of manuscripts thought of. the 1st part offers with expertise. the second one part of this quantity includes management.

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Research of the Mining Subsidence in TongChuan Mining Area 19 (13) subsidence (mm) 1000 800 600 400 200 0 0 200 600 400 800 mining length (m) Fig. 3. The scatter diagram showing the relation between extraction length and the maximum of surface subsidence Table 2. Critical mining lengths calculated on different method method of calculation critical mining length (m) Deviation (m) Calculated by catastrophe theory 215 Calculated by similar material simulation 220 observation result on mining area 210 -5 10 0 5 Conclusions Under the condition of large mining depth and small mining high and geological conditions of thin and loose layer of thick bedrock: (1)Based on the theory of the key stratum, it was found that the key stratum is bottom moderate coarse sandstone of Permian system shiqianfeng formation with the thickness of 42m; (2)Based on the catastrophe theory, the recognition model of the hazard occurrence of mining subsidence is established, namely l ≥ 2 h 3 π 2E 3q ; (3)With the method of similar material simulation, 220m recognition model of mining subsidence hazard which was close to the observed value 210m realistically.

In order to find internal rules between associated attributes and effort, this paper constructs decision tree to extract internal rules. 5 to do simulation experiments. The result shows that this method effectively improves prediction accuracy. Keywords: Input Output Correlation, RBF neural network, decision tree, software, development effort. 1 Introduction Predicting software development effort (person-month) reasonably and accurately plays an important role in all phases of software development cycle.

Compare the filtering results of traditional algorithm of spatial correlation with improved algorithm of its. 5 shows that the traditional algorithm have been powerlessness, frequency domain appeared significant fluctuations and significant burrs raised following cut-off frequency when SNR=5db. 5 -1 0 1000 2000 3000 4000 5000 Fig. 1. Echo signal of ideal transports(time domian waveform) 26 X. Wang and Z. Zhang 150 100 50 0 0 20 40 60 80 100 Fig. 2. Echo signal of ideal transports (frequency domian waveform) 2 200 0 100 -2 0 1000 2000 3000 4000 5000 0 1 200 0 100 -1 0 1000 2000 3000 4000 5000 0 1 200 0 100 -1 0 1000 2000 3000 4000 5000 0 0 50 100 0 50 100 0 50 100 Fig.

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Advances in Technology and Management: Proceedings of the 2012 International Conference on Technology and Management (ICTAM 2012), International Convention Center Jeju, Jeju-Island, Korea by Lianfang Zhu, Ligang Dong, Chuanhuang Li (auth.), Haenakon Kim (eds.)


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