scispace - formally typeset
Search or ask a question
Institution

National Cheng Kung University

EducationTainan City, Taiwan
About: National Cheng Kung University is a education organization based out in Tainan City, Taiwan. It is known for research contribution in the topics: Population & Thin film. The organization has 49723 authors who have published 69799 publications receiving 1437420 citations. The organization is also known as: NCKU.


Papers
More filters
Journal ArticleDOI
TL;DR: A CT liver image diagnostic classification system which will automatically find, extract the CT liver boundary and further classify liver diseases is presented and shown to be efficient and very effective.
Abstract: Computed tomography (CT) images have been widely used for liver disease diagnosis. Designing and developing computer-assisted image processing techniques to help doctors improve their diagnosis has received considerable interests over the past years. In this paper, a CT liver image diagnostic classification system is presented which will automatically find, extract the CT liver boundary and further classify liver diseases. The system comprises a detect-before-extract (DBE) system which automatically finds the liver boundary and a neural network liver classifier which uses specially designed feature descriptors to distinguish normal liver, two types of liver tumors, hepatoma and hemageoma. The DBE system applies the concept of the normalized fractional Brownian motion model to find an initial liver boundary and then uses a deformable contour model to precisely delineate the liver boundary. The neural network is included to classify liver tumors into hepatoma and hemageoma. It is implemented by a modified probabilistic neural network (PNN) [MPNN] in conjunction with feature descriptors which are generated by fractal feature information and the gray-level co-occurrence matrix. The proposed system was evaluated by 30 liver cases and shown to be efficient and very effective.

280 citations

Journal ArticleDOI
01 Feb 2010
TL;DR: A network DEA model is discussed which distributes the system inefficiency to its component processes and is applied to assess the impact of information technology (IT) on firm performance in a banking industry.
Abstract: A recent development in DEA (data envelopment analysis) examines the internal structure of a system so that more information regarding sources that cause inefficiency can be obtained. This paper discusses a network DEA model which distributes the system inefficiency to its component processes. The model is applied to assess the impact of information technology (IT) on firm performance in a banking industry. The results show that the impact of IT on firm performance operates indirectly through fund collection. The impact increases when the IT budget is shared with the profit generation process.

280 citations

Journal ArticleDOI
TL;DR: In this article, a set of experiments was designed and performed to fully characterize the sensitivity of surface morphology and mechanical behavior of silicon samples produced with different DRIE operating conditions, and the data was then fitted to response surfaces to model the dependence of response variables on dry processing conditions.
Abstract: The ability to predict and control the influence of process parameters during silicon etching is vital for the success of most MEMS devices. In the case of deep reactive ion etching (DRIE) of silicon substrates, experimental results indicate that etch performance as well as surface morphology and post-etch mechanical behavior have a strong dependence on processing parameters. In order to understand the influence of these parameters, a set of experiments was designed and performed to fully characterize the sensitivity of surface morphology and mechanical behavior of silicon samples produced with different DRIE operating conditions. The designed experiment involved a matrix of 55 silicon wafers with radius hub flexure (RHF) specimens which were etched 10 min under varying DRIE processing conditions. Data collected by interferometry, atomic force microscopy (AFM), profilometry, and scanning electron microscopy (SEM), was used to determine the response of etching performance to operating conditions. The data collected for fracture strength was analyzed and modeled by finite element computation. The data was then fitted to response surfaces to model the dependence of response variables on dry processing conditions.

279 citations

Journal ArticleDOI
Qing Lan1, Chao A. Hsiung2, Keitaro Matsuo, Yun Chul Hong3, Adeline Seow4, Zhaoming Wang1, H. Dean Hosgood1, H. Dean Hosgood5, Kexin Chen6, Jiucun Wang7, Nilanjan Chatterjee1, Wei Hu1, Maria Pik Wong8, Wei Zheng9, Neil E. Caporaso1, Jae Yong Park10, Chien-Jen Chen11, Yeul Hong Kim12, Young Tae Kim3, Maria Teresa Landi1, Hongbing Shen13, Charles E. Lawrence14, Laurie Burdett1, Meredith Yeager1, Jeffrey Yuenger1, Kevin B. Jacobs1, I. Shou Chang2, Tetsuya Mitsudomi15, Hee Nam Kim16, Gee-Chen Chang17, Bryan A. Bassig18, Bryan A. Bassig1, Margaret A. Tucker1, Fusheng Wei, Zhihua Yin19, Chen Wu20, She-Juan An, Biyun Qian6, Victor Ho Fun Lee8, Daru Lu7, Jianjun Liu21, Jianjun Liu22, Hyo Sung Jeon10, Chin-Fu Hsiao2, Jae Sook Sung12, Jin Hee Kim3, Yu Tang Gao, Ying-Huang Tsai23, Yoo Jin Jung3, Huan Guo24, Zhibin Hu13, Amy Hutchinson1, Wen Chang Wang2, Robert J. Klein25, Charles C. Chung1, In-Jae Oh16, Kuan-Yu Chen26, Sonja I. Berndt1, Xingzhou He27, Wei Wu19, Jiang Chang20, X. Zhang, Ming Shyan Huang28, Hong Zheng6, Junwen Wang8, Xueying Zhao7, Yuqing Li21, Jin Eun Choi10, Wu Chou Su29, Kyong Hwa Park12, Sook Whan Sung3, Xiao-Ou Shu9, Yuh Min Chen17, Li Liu24, Chang Hyun Kang3, Lingmin Hu13, Chung Hsing Chen2, William Pao9, Young-Chul Kim16, Tsung-Ying Yang, Jun Xu8, Peng Guan19, Wen Tan20, Jian Su, Chih-Liang Wang23, Haixin Li6, Alan D. L. Sihoe8, Zhenhong Zhao7, Ying Chen4, Yi Young Choi10, Jen Yu Hung28, Jun Suk Kim12, Ho Il Yoon3, Qiuyin Cai9, Chien Chung Lin29, In Kyu Park3, Ping Xu, Jing Dong13, Christopher Kim1, Qincheng He19, Reury Perng Perng, Takashi Kohno30, Sun-Seog Kweon16, Chih Yi Chen31, Roel Vermeulen32, Junjie Wu7, Wei-Yen Lim4, Kun-Chieh Chen, Wong Ho Chow1, Bu Tian Ji1, John K.C. Chan, Minjie Chu13, Yao Jen Li11, Jun Yokota30, Jihua Li, Hongyan Chen7, Yong-Bing Xiang, Chong-Jen Yu26, Hideo Kunitoh33, Guoping Wu, Li Jin7, Yen Li Lo2, Kouya Shiraishi30, Ying Hsiang Chen2, HC Lin2, Tangchun Wu24, Yi-Long Wu, Pan-Chyr Yang26, Baosen Zhou19, Min-Ho Shin16, Joseph F. Fraumeni1, Dongxin Lin20, Stephen J. Chanock1, Nathaniel Rothman1 
TL;DR: It is observed that there is no evidence of association for lung cancer at 15q25 in never-smoking women in Asia, providing strong evidence that this locus is not associated with lung cancer independent of smoking.
Abstract: To identify common genetic variants that contribute to lung cancer susceptibility, we conducted a multistage genome-wide association study of lung cancer in Asian women who never smoked. We scanned 5,510 never-smoking female lung cancer cases and 4,544 controls drawn from 14 studies from mainland China, South Korea, Japan, Singapore, Taiwan and Hong Kong. We genotyped the most promising variants (associated at P < 5 × 10(-6)) in an additional 1,099 cases and 2,913 controls. We identified three new susceptibility loci at 10q25.2 (rs7086803, P = 3.54 × 10(-18)), 6q22.2 (rs9387478, P = 4.14 × 10(-10)) and 6p21.32 (rs2395185, P = 9.51 × 10(-9)). We also confirmed associations reported for loci at 5p15.33 and 3q28 and a recently reported finding at 17q24.3. We observed no evidence of association for lung cancer at 15q25 in never-smoking women in Asia, providing strong evidence that this locus is not associated with lung cancer independent of smoking.

279 citations

Journal ArticleDOI
TL;DR: In this article, the influence of surface carbon-oxygen complexes on the performance of electrochemical capacitors fabricated with the carbon fabric was explored. But the performance was limited to 1 M within a potential range of and 0.6 V.
Abstract: Nitric acid oxidation of activated carbon fabric in combination with calcination in at different temperatures was conducted to explore the influence of surface carbon-oxygen complexes on the performance of electrochemical capacitors fabricated with the carbon fabric. The performance of the capacitors was tested in 1 M within a potential range of and 0.6 V. The specific capacitance of the carbon was found to increase upon oxidation. Surface complex analysis using temperature programmed desorption showed that the double-layer capacitance was enhanced due to the presence of CO-desorbing complexes while -desorbing complexes exhibited a negative effect. The micropore resistance for ion migration was low for these carbons. The electrical connection resistance between the fabric and the backing plate as well as that between the carbon fibers accounted for the major proportion of the overall resistance and was shown to increase due to oxidation. A capacitance increase of more than 40% has been achieved, without increasing IR drop, by nitric acid oxidation followed by 450°C calcination that was shown to remove the majority of the -desorbing complexes while retaining the CO-desorbing complexes. © 2002 The Electrochemical Society. All rights reserved.

279 citations


Authors

Showing all 49872 results

NameH-indexPapersCitations
Yi Chen2174342293080
Yang Yang1642704144071
R. E. Hughes1541312110970
Mercouri G. Kanatzidis1521854113022
Thomas J. Smith1401775113919
Hui Li1352982105903
Gerald M. Reaven13379980351
Chi-Huey Wong129122066349
Joseph P. Vacanti11944150739
Kai Nan An10995351638
Ding-Shinn Chen10477446068
James D. Neaton10133164719
David C. Christiani100105255399
Jo Shu Chang9963937487
Yu Shyr9854239527
Network Information
Related Institutions (5)
National Taiwan University
130.8K papers, 3.3M citations

98% related

National University of Singapore
165.4K papers, 5.4M citations

93% related

University of Hong Kong
99.1K papers, 3.2M citations

92% related

Nanyang Technological University
112.8K papers, 3.2M citations

92% related

Zhejiang University
183.2K papers, 3.4M citations

91% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202373
2022315
20213,425
20203,154
20192,895
20182,764