Browsing by Author "Yeh, K. C."

Now showing 1 - 4 of 4

Bedrock channel morphological modeling on the river in Taiwan
(2017-01-01)
Wu, K. W.
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Yeh, K. C.
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Liao, C. T.
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Lai, Y. G.
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土木工程學系
INTELLIGENT RADIOACTIVE WASTE MANAGEMENT PLATFORM FOR RADIOACTIVE WASTE STORAGE FACILITIES
(2013-06-01)
Chen, Y. -C.
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Yu, Y. S.
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Chen, R. -S.
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Chou, I-Hsin
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Sun, H. M.
Radioactive waste management is now a much discussed public issue, especially since the Taiwanese government announced that three operating nuclear power plants will be decommissioned on schedule. Safe, efficient, reliable, and sustainable solutions to the management of radioactive wastes are critical to the feasibility of the nuclear decommissioning project. Because of the lack of system integration within radioactive waste storage facilities, most of the radioactive waste information systems remain inconsistent. Therefore, the establishment of an intelligent integrated system that provides active assistance in tracing the processes of radioactive wastes is urgent. This study is based on the technology of radio frequency identification for detection of radioactive waste locations. An automatic identification mechanism can monitor the status of storage and instantly notify the relevant parties. Meanwhile, this platform also employs the software agent as the infrastructure to construct the integrated information system architecture; the software agent has been widely accepted as an effective method to integrate heterogeneous systems of the new paradigm. The overall framework will help enhance the monitoring performance for radioactive waste.
Using data mining to provide recommendation service
(2007-01-01)
Chen, Ruey-Shun
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Tsai, Yung-Shun
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Yeh, K. C.
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Sun, Chia-Ming
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Yu, D. H.
This research introduces personalized recommendation service into library services. Using the borrowing record of the library as basis, the association rules of data mining technique are used to look for book association by focusing on reader's borrowing mode, personal interest and trait in order to simplify the complexity of recommendation structure. The Bayesian network concept is used to build up a personalized book recommender system in order to generate different book recommendations, ranking from high to low, to help reader to locate book information most suitable to his requirement. Meanwhile we use user satisfaction questionnaire to understand the accuracy of recommended books and further to feedback information in order to help the post learning of Bayesian network parameter. This is for the perfection of the overall structure of recommender system so that readers could make use of the resource of the library more effectively and the value of the library system could be further improved.
Using policy-based MPLS management architecture to improve QoS on IP network
(2007-01-01)
Chen, Ruey-Shun
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Tsai, Yung-Shun
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Yeh, K. C.
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Sun, Chia-Ming
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Chen, H. Y.
Multi-Protocol Label Switching (MPLS) is in the process of standardization by the Internet Engineering Task Force (IETF). It is regarded as a technology for traffic engineering and QoS in IP-networks. We proposed an IETF Policy-based Network Management Framework and policies with MPLS specific classes. It uses a three-level policy architecture, which includes managing on device, network, and service level using policies for supporting Inter-serve and Diff-serve based end-to-end QoS in the Internet. A prototyping of policy-based management system for MPLS Traffic Engineering is operating on MPLS network elements. Several experiments illustrate the efficiency and feasibility in this architecture. The results show it can reduce the time of the setup of MPLS traffic engineering tunnel over hops and MPLS traffic engineering tunnel deletion. The proposed integrated policy based management architecture will allow network service providers to offer both quantitative and qualitative services while optimizing the use of underlying network resources.