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Institution

Chung Hua University

EducationHsinchu, Taiwan
About: Chung Hua University is a education organization based out in Hsinchu, Taiwan. It is known for research contribution in the topics: Fuzzy logic & Wireless sensor network. The organization has 2889 authors who have published 3645 publications receiving 61232 citations. The organization is also known as: Chung Hua Polytechnic Institute.


Papers
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Journal ArticleDOI
TL;DR: The proposed model is proven with the effectiveness in explaining the relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile added-value services.

1,207 citations

Journal ArticleDOI
I-Cheng Yeh1
TL;DR: In this paper, a set of trial batches of HPC was produced in the laboratory and demonstrated satisfactory experimental results, which led to the following conclusions: 1) A strength model based on ANN is more accurate than a model based based on regression analysis; and 2) It is convenient and easy to use ANN models for numerical experiments to review the effects of the proportions of each variable on the concrete mix.

1,092 citations

Journal ArticleDOI
TL;DR: It is found that the Drosophila brain is assembled from families of multiple LPUs and their interconnections, which provides an essential first step in the analysis of information processing within and between neurons in a complete brain.

744 citations

Journal ArticleDOI
TL;DR: With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.
Abstract: With growing worldwide awareness of environmental protection, green production has become an important issue for almost every manufacturer and will determine the sustainability of a manufacturer in the long term. A performance evaluation system for green suppliers thus is necessary to determine the suitability of suppliers to cooperate with the firm. While the works on the evaluation and/or selection of suppliers are abundant, those that concern environmental issues are rather limited. Therefore, in this study, a model for evaluating green suppliers is proposed. The Delphi method is applied first to differentiate the criteria for evaluating traditional suppliers and green suppliers. A hierarchy is constructed next to help evaluate the importance of the selected criteria and the performance of green suppliers. Since experts may not identify the importance of factors clearly, the results of questionnaires may be biased. To consider the vagueness of experts' opinions, the fuzzy extended analytic hierarchy process is exploited. With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.

735 citations

Journal ArticleDOI
TL;DR: Six bacterial strains with the capability of degrading textile dyes were isolated from sludge samples and mud lakes and Aeromonas hydrophila was selected and identified because it exhibited the greatest color removal from various dyes.

726 citations


Authors

Showing all 2894 results

NameH-indexPapersCitations
Li Chen105173255996
Sandeep K. S. Gupta6245214100
Dhabaleswar K. Panda5652813125
Tzung-Pei Hong5167010588
Richard D. Wesel392495707
Jang-Ping Sheu3925011582
Jenn-Jiang Hwang361103541
Ching-Hsien Hsu353344465
Sang-Bing Tsai341312618
Amy H. I. Lee321104896
Shia-Chung Chen291782770
Yuh-Shyan Chen281148806
Chun-Fei Hsu281362891
S.V. Prabhakar Vattikuti261241809
Timothy K. Shih264773581
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
20225
202145
202050
201961
201889