Browsing by Author "Lin, S. Y."

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Excited Energy Attenuation Study Through Vibration Measurement and Spectrum Analysis
(2010)
Lin, S. Y.
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Chang, C. K.
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Chung, C. T.
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Hsu, F. C.
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Wang, C. C.
This paper presents the use of vibration measurement in conjunction with spectrum signal analysis to investigate the vibration phenomena and the dynamic response of the absorber system frame and rigid axle of a vehicle body under real road-driving conditions. Ford 1.6L sedan was selected as the vehicle body to carry out the experiments with different driving speeds. B&K PULSE dynamic signal analyzer was used to detect the vibration signal induced from the absorber system frame and rigid axle of the vehicle body in motion. The acquired on-line signals are then processed through the Fast Fourier Transform using the power spectrum density, the cepstrum method, and the overall analysis. The vibration energy attenuated from the absorber system is analyzed by comparing with that on the rigid axle excited from the road conditions corresponding to different driving speeds. Furthermore, the effects of various road conditions and driving speeds on oscillation of the vehicle body are studied. The corresponding results may be extensively treated as a guiding reference of the absorber system design and manufacturing for those vehicle manufacturing companies.
Long Photon Lifetime from Microdisk Cavity Laser with Type II GaSb/GaAs Quantum Dots
(2013-01-01)
Hsu, K. S.
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Chang, C. C.
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Lin, W. H.
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Shih, M. H.
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Lin, S. Y.
Microdisk lasers with active region made of type II GaSb/GaAs quantum dots on the GaAs substrate have been demonstrated. Lasing wavelengths near 1 mu m was achieved and longer photon lifetime from type II structure also observed. (C) 2013 Optical Society of America
Mining association rules through integration of clustering analysis and ant colony system for health insurance database in Taiwan
(2007-10-01)
Kuo, R. J.
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Lin, S. Y.
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Shih, C. W.
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工業工程與管理學系
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Department of Industrial Engineering and Management
In addition to sharing and applying the knowledge in the community, knowledge discovery has become an important issue in the knowledge economic era. Data mining plays an important role of knowledge discovery. Therefore, this study intends to propose a novel framework of data mining which clusters the data first and then followed by association rules mining. The first stage employs the ant system-based clustering algorithm (ASCA) and ant K-means (AK) to cluster the database, while the ant colony system-based association rules mining algorithm is applied to discover the useful rules for each group. The medical database provided by the National Health Insurance Bureau of Taiwan Government is used to verify the proposed method. The evaluation results showed that the proposed method not only is able to extract the rules much faster, but also can discover more important rules. (c) 2006 Published by Elsevier Ltd.