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Institution

Chung Yuan Christian University

EducationTaoyuan City, Taiwan
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.


Papers
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Journal ArticleDOI
01 Mar 2014-Carbon
TL;DR: In this paper, highly ordered flexible layers of graphene oxide (GO) were prepared on modified polyacrylonitrile substrates by the pressure-assisted self-assembly technique.

199 citations

Journal ArticleDOI
TL;DR: In this article, a fuzzy-c-means (FCM) is employed to cluster the operation states for system load, wind-turbine generations (WTG), and photovoltaic (PV) in 8760h.
Abstract: Owing to the Kyoto Protocol and the growing depletion of natural resources, renewable energies have attracted much attention. This paper considers 25-kW wind-turbine generator, 5-kW PV and 30-kW diesel generator as unit sizes for generation planning in a stand-alone power system. The investment cost (installation and unit costs) and fuel cost are minimized while retaining the reliability requirement and CO emission limit. First, the fuzzy-c-means (FCM) is employed to cluster the operation states for system load, wind-turbine generations (WTG), and PV in 8760 h. Then, the Markov models for the system load, WTG, and photovoltaic (PV) are established. The Markov models are embedded into the genetic algorithm to determine the optimal sizes for WTG, PV, and the diesel generator. The simulation results reveal that computation time can be reduced greatly while optimality can be still retained, compared with the traditional method using chronological data.

198 citations

Journal ArticleDOI
TL;DR: New types of fuzzy clustering procedures in dealing with fuzzy data are derived, called fuzzy c-numbers (FCN) clusterings, which construct these FCNs for U-type, triangular, trapezoidal and normal fuzzy numbers.

198 citations

Journal Article
TL;DR: In this paper, the authors measured the absorption spectrum of bovine skin gelatin and elastin in hog eye lens as references of protein and found that temperature has a strong effect on the absorption property of water but not on fatty acid mixture.
Abstract: Near infrared (NIR) can penetrate relatively deep into biological soft tissues. The NIR absorption property of tissue varies with tissue constituents especially water, fat, collagen, and their combination ratio. Therefore, combination ratio of tissue constituents can be evaluated by decomposing the absorption spectrum to determine the light path length in each constituent. Standardized absorption spectra of tissue constituents are required in order to carry out decomposition. Since water, fat, and protein are the major contributors at NIR spectral region. This study is to measure their absorption spectra from standardized samples as reference for quantifying tissue constituents. Five kinds of major fatty acid found in human fat were mixed in proper ratio as a standard reference. Absorption spectrum of bovine skin gelatin and elastin in hog eye lens were used as references of protein. NIR absorption spectra were measured using a Shimadzu 3101-PC spectrophotometer. The results show that temperature has a strong effect on the absorption property of water but not on fatty acid mixture. Absorption spectrum of elastin is similar to that of dry bovine gelatin. NIR spectroscopy also can be used to characterize or identify different types of soft tissue based on their major chemical composition, such as detecting a fat plaque in a muscular tissue or a tumor in a high fat content tissue.

197 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the air quality of three cities in Hubei Province, Wuhan, Jingmen, and Enshi, central China, from January to March 2017-2020 to analyze the impact of the epidemic prevention and control actions on air quality.
Abstract: In early 2020, the COVID-19 epidemic spread globally. This study investigated the air quality of three cities in Hubei Province, Wuhan, Jingmen, and Enshi, central China, from January to March 2017–2020 to analyze the impact of the epidemic prevention and control actions on air quality. The results indicated that in the three cities, during February 2020, when the epidemic prevention and control actions were taken, the average concentrations of atmospheric PM2.5, PM10, SO2, CO, and NO2 in the three cities were 46.1 µg m–3, 50.8 µg m–3, 2.56 ppb, 0.60 ppm, and 6.70 ppb, and were 30.1%, 40.5%, 33.4%, 27.9%, and 61.4% lower than the levels in February 2017–2019, respectively. However, the average O3 concentration (23.1, 32.4, and 40.2 ppb) in 2020 did not show a significant decrease, and even increased by 12.7%, 14.3%, and 11.6% in January, February, and March, respectively. This is because a lower concentration of NO2 resulted in constraints on the NO + O3 reaction, and the O3 could not be effectively further depleted. In addition, the average air quality index (AQI) for the three cities in January, February, and March 2020 were 32.2%, 27.7%, and 14.9% lower than the levels in 2017–2019, respectively. Based on the AQIs for the three cities, the combined proportions of Class I and Class Ⅱ in January, February, and March 2020 increased by 27.9%, 24.8%, and 4.3%, respectively, while the combined proportion of AQI Classes III, IV, V, and VI was reduced from 34.8% to 15.8%. In addition, in the first three months of 2020, the indicatory air pollutants in the three cities for the AQIs were predominant in the following order: PM2.5 (72.0%), O3 (16.4%), PM10 (8.3%), NO2 (2.9%), and CO (0.4%). This study provides useful information for establishing a scientific air pollution control strategy and is a valuable reference for future research on improving urban air quality.

197 citations


Authors

Showing all 9844 results

NameH-indexPapersCitations
Simon Lin12675469084
Xiaodong Li104130049024
Yu Wang92168747472
Leaf Huang9235025867
Duu-Jong Lee9197937292
Yen Wei8564925805
Ru-Shi Liu8273826699
Kazuhiko Ishihara7771324795
Gwo-Hshiung Tzeng7746526807
Huan-Tsung Chang7640521476
Hari M. Srivastava76112642635
Jianhua Yang7455427839
Yen Wei6830917527
Hsisheng Teng6721314408
Kevin C.-W. Wu6627815193
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202315
202271
2021590
2020633
2019569
2018514