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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
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Journal ArticleDOI
TL;DR: In this paper, the tribological behavior of self-lubricated aluminium/SiC/graphite hybrid composites with various amount of graphite addition synthesized by the semi-solid powder densification (SSPD) method has been studied.

253 citations

Journal ArticleDOI
TL;DR: It is decided that an iterative approach to implementing smart phone adoption was effective and managerial implications are discussed.

253 citations

Journal ArticleDOI
TL;DR: In this paper, a simple linear regression analysis was conducted to relate the emission rates of the metal contents in vehicle exhaust to the consumption rates of metal contents contained in diesel fuel, and the results indicated that the relatively high amount of metal content emitted from diesel engines strongly suggests that the measurement on the control of diesel fuel should be taken in the future.

253 citations

Journal ArticleDOI
TL;DR: This paper studies the general problem of blind false data injection attacks using the principal component analysis approximation method without the knowledge of Jacobian matrix and the assumption regarding the distribution of state variables, and is proven to be approximately stealthy.
Abstract: Accurate state estimation is of paramount importance to maintain normal operations of smart power grids. However, recent research shows that carefully produced attacks with the knowledge of the grid topology, i.e., Jacobian matrix, can bypass the bad data detection (BDD) system. The BDD is used to ensure the integrity of state estimation to filter faulty measurements introduced by device malfunctions or malicious attacks. However, to construct the false data injection attack vectors, a common assumption in most prior works on false data injection attacks is that the attacker has complete knowledge about the power grid topology and transmission-line admittances. By contrast, this paper studies the general problem of blind false data injection attacks using the principal component analysis approximation method without the knowledge of Jacobian matrix and the assumption regarding the distribution of state variables. The proposed attack is proven to be approximately stealthy. 1 The performance of the proposed attack is analyzed. Simulations confirm the performance of the proposed method.

253 citations

Journal ArticleDOI
TL;DR: In this article, the authors recognized the consistent occurrence of the subduction wedge and collision prism onshore and offshore Taiwan and reconstructed the evolution of the accretionary prism during subduction and collision tectonics of Taiwan.

253 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
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202373
2022315
20213,425
20203,154
20192,895
20182,764