Chung Yuan Christian University

About: Chung Yuan Christian University is a education organization based out in Taoyuan City, Taiwan. It is known for research contribution in the topics: Membrane & Fuzzy logic. The organization has 9819 authors who have published 11623 publications receiving 213139 citations. The organization is also known as: Tiong-gôan-tāi-ha̍k & CYCU.

The establishment of a TQM system for the health care industry

Abstract: In recent years, the health care industry in Taiwan has been facing various difficulties, which are primarily from the implementation of National Health Care Insurance policy. The more severe problems, like the increase in operating costs and income reduction, are included with the high cut rate examined by BNHI, and the shortage of physicians. The most critical current issue to hospitals is researching the remedies to resolve the problems. Some hospitals have employed ISO 9000 as the solution; some have chosen HQIC or MQIP. However, it is necessary to implement advanced TQM when the health care institutes want to resolve these problems more effectively. There are some conflicts between the health care professional and the TQM concepts and practices. In this paper, a practically applicable system of TQM is developed for the health care institutes. Several hospitals have utilized this TQM system and have obtained many substantial results, such as upgrading the service quality and customers’ satisfaction, and improving the administration performance, etc. Therefore, for a more efficient operation, the Bureau of National Health Care should eagerly promote the TQM system to hospitals.

Stochastic root finding via retrospective approximation

Abstract: Given a user-provided Monte Carlo simulation procedure to estimate a function at any specified point, the stochastic root-finding problem is to find the unique argument value to provide a specified function value. To solve such problems, we introduce the family of Retrospective Approximation (RA) algorithms. RA solves, with decreasing error, a sequence of sample-path equations that are based on increasing Monte Carlo sample sizes. Two variations are developed: IRA, in which each sample-path equation is generated independently of the others, and DRA, in which each equation is obtained by appending new random variates to the previous equation. We prove that such algorithms converge with probability one to the desired solution as the number of iterations grows, discuss implementation issues to obtain good performance in practice without tuning algorithm parameters, provide experimental results for an illustrative application, and argue that IRA dominates DRA in terms of the generalized mean squared error.

Observation of self-diffraction by gratings in nematic liquid crystals doped with carbon nanotubes.

Abstract: Diffraction gratings were studied in cells of the homogeneously aligned liquid-crystal E7 doped with multiwall carbon nanotubes. These phase gratings were induced by interference modulation of two coherent optical beams, in conjunction with an applied dc field that was perpendicular to the unperturbed director axis. Self-diffraction was observed at all angles of incidence of the writing beams, including normal incidence. A superior nonlinear-index coefficient of 5×10-2 cm2/W was obtained after passage of a 44‐mW/cm2 beam through a film with a grating constant of 18 μm under an external voltage of 15 V. The observed phenomenon depends strongly on the applied dc field, and the memory effect in a nematic film depends strongly on the grating constant.