Browsing by Author "Wang, SS"

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Energy minimizing sections of a fiber bundle
(1996-06-01)
Wang, SS
;
交大名義發表
;
National Chiao Tung University
Energy minimizing sections of a fiber bundle
(1996-06-01)
Wang, SS
;
交大名義發表
;
National Chiao Tung University
Learning search pattern for construction procurement using keyword net
(2005)
Dzeng, RJ
;
Wang, SS
;
土木工程學系
;
Department of Civil Engineering
As more and more procurement websites become available on the Internet, seeking information from websites has become an essential part of a contractor's procurement undertaking. Several e-markets, specifically for construction, have also been established, including bLiquid.com and ProcureZone. However, most websites provide only two primary ways of searching for information, namely by index/menu or by keyword. Instead of relying on the primitive search engines found in most procurement websites, a search guide system could help a user's keyword search by reducing the number of keywords required to find the desired information. Our research recognized that professional procurement experience helped users more effectively carry out website information searches, by using fewer keywords. We planned to capture such experience in order to guide inexperienced users in their search. The research goal was to improve search effectiveness by guiding the user's search using three approaches, namely correction, specification and extension. Based on these three approaches, this research applied the following guides: correction; specification-by-equivalence; specification-by-detail; extension-by-time; extension-by-location; extension-by-team; and extension-by-component. The paper will describe how we classified users for learning credibility, and the learning framework for recording expert users' search patterns. Twelve professionals, using 14 procurement packages, with 64 items in total, evaluated the proposed framework. It will be demonstrated that the proposed learning keyword guide facilitated a dynamic, customized menu and indexing system, and reduced the number of keywords required for the professionals to find the information they desired.
Micromachining program status at the SRRC
(1997-12-01)
Cheng, Y
;
Shew, BY
;
Shih, WP
;
Wang, SS
;
Lin, CY
This paper describes the micromachining program status of the micromachining laboratory at the SRRC. A preliminary LIGA process has been established. Many joint projects with local and foreign institutes to develop devices for domestic industries have been started. The interests in the application of the LIGA technology is continuously growing in Taiwan. Two-millimeter ultra-deep microstructures have been achieved.
p-Dirichlet energy minimizing maps into a complete manifold
(1996)
Wang, SS
;
交大名義發表
;
應用數學系
;
National Chiao Tung University
;
Department of Applied Mathematics
Rational function approximation of nuclear scattering cross-section function
(1996-12-01)
Wang, SS
;
Guo, SF
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
The one-variable scattering cross-section function f(eta) proposed by Lindhard, Nielsen and Scharff (LNS) is approximated by a rational function using the minimax algorithm in this work. Taking an ingenious transformation ion of the variable eta, this approximation is about one order of magnitude faster than other approximations in the literature. To maintain a reasonable accuracy, we divide the wide variable range into two regions. In addition, an adaptive integration method is adopted to compute the scattering angle and the nuclear stopping power in order to get accurate f(eta) data.
Rational function approximation of nuclear scattering cross-section function
(1996-12-01)
Wang, SS
;
Guo, SF
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
The one-variable scattering cross-section function f(eta) proposed by Lindhard, Nielsen and Scharff (LNS) is approximated by a rational function using the minimax algorithm in this work. Taking an ingenious transformation ion of the variable eta, this approximation is about one order of magnitude faster than other approximations in the literature. To maintain a reasonable accuracy, we divide the wide variable range into two regions. In addition, an adaptive integration method is adopted to compute the scattering angle and the nuclear stopping power in order to get accurate f(eta) data.