Browsing by Author "Lin, HL"

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A novel small-world model: Using social mirror identities for epidemic simulations
(2005-10-01)
Huang, CY
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Sun, CT
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Hsieh, JL
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Chen, YMA
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Lin, HL
The authors propose a small-world network model that combines cellular automata with the social mirror identities of daily-contact networks for purposes of performing epidemiological simulations. The social mirror identity concept was established to integrate human long-distance movement and daily visits to fixed locations. After showing that the model is capable of displaying such small-world effects as low degree of separation and relatively high degree of clustering on a societal level, the authors offer proof of its ability to display R-o properties-considered central to all epidemiological studies. To test their model, they simulated the 2003 severe acute respiratory syndrome (SARS) outbreak.
Modal identification of structures from ambient vibration, free vibration, and seismic response data via subspace approach
(2001-12-01)
Huang, CS
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Lin, HL
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土木工程學系
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Department of Civil Engineering
This work presents a unified procedure for determining the natural frequencies, modal damping ratios and modal shapes of a structure from its ambient vibration, free vibration and earthquake response data. To evaluate the coefficient matrices of a state-space model, the proposed procedure applies a subspace approach cooperating with an instrumental variable concept. The dynamic characteristics of a structure are determined from the coefficient matrices. The feasibility of the procedure is demonstrated through processing an in situ ambient vibration measurement of a five-storey steel frame, an impulse response measurement of a three-span continuous bridge, and simulated earthquake responses of five-storey steel frames from shaking table tests. The excellent agreement of the results obtained herein with those published previously confirms the feasibility of the present procedure. Copyright (C) 2001 John Wiley & Sons, Ltd.
Optimisation of the GTA welding process using the Taguchi method and a neural network
(2006-02-01)
Lin, HL
;
Chou, CP
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機械工程學系
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Department of Mechanical Engineering
There are many parameters that affect gas tungsten arc (GTA) welding process quality. Conventionally, the Taguchi method has been widely used in engineering; however, with this method the desired results can only be obtained with the use of very discrete control factors, thus leading to uncertainty about the real optimum. In this study, the Taguchi method was used for the initial optimisation of the GTA welding process parameters. A neural network was then used to construct the relationships between the welding process parameters and weld pool geometry of each weldment. The optimal parameters of the GTA welding process were determined by simulating significant process parameters obtained by the Taguchi method. Experimental results are provided to illustrate the proposed approach.