Browsing by Author "Li, Jan-Mou"

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Preparedness for post-disaster internet traffic management
(2008)
Li, Jan-Mou
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Chen, Chung-Hao
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Hsieh, Shang-Hsing
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Yan, Wen-Chao
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Wen, Che-Yen
Since the globe is connected tightly by internet, to react the disruption of internet services efficiently and fairly is very important, especially for those real time transactions. However, there is a lack of literature about it. To Our best knowledge, this paper is the first try to explore issues under such conditions. A framework, which consists of the traffic rerouting programming, the capacity and cost inventory. and the policy of traffic priority, is proposed for the preparation. Based on the proposed framework, internet traffic under disruption may be rerouted through available capacities efficiently and fairly if the criteria are well established. It is proposed to serve the needs of post-disaster traffic management for both planning and operation sides.
Validation for the Diversity of Usage in M-Commerce among Countries by ICOMP
(2011-01-01)
Li, Jan-Mou
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Hsieh, Shang-Hsing
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Lee, Tzong-Ru (Jiun-Shen)
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運輸與物流管理系註：原交通所+運管所
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Department of Transportation and Logistics Management
This paper conducted the validation of diverse usage in m-commerce services among the countries. In order to determine whether there is a discrepancy between samples, this study proposed a new approach based on ICOMP to perform model selection and variables clustering. According to the ICOMP criteria, the model selection implied that there is heterogeneity between samples. The variable clustering, whatever within a group or with all twenty variables, indicated that there are differences in ranking the most relevant variables between samples. That is, whatever model selection or variables clustering, all results based on the proposed approach support that there were discrepancies in using m-commerce services among the countries. Characters of both the ICOMP approach and the grey relational analysis in distinguishing the diverse usage were discussed. In short, both approaches can conclude there are discrepancies between the samples. The grey relational analysis is good to determine the preferences within a sample; and the ICOMP approach can determine the best fitting models for samples. The contribution of this paper towards the field in tow folds: the new approach to analyze the discrepancy; and the validation.