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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: The state of the art in research on sensor network security is surveyed, due to the limited capabilities of sensor nodes in terms of computation, communication, memory/storage, and energy supply.
Abstract: Recent advances in electronics and wireless communication technologies have enabled the development of large-scale wireless sensor networks that consist of many low-power, low-cost, and small-size sensor nodes. Sensor networks hold the promise of facilitating large-scale and real-time data processing in complex environments. Security is critical for many sensor network applications, such as military target tracking and security monitoring. To provide security and privacy to small sensor nodes is challenging, due to the limited capabilities of sensor nodes in terms of computation, communication, memory/storage, and energy supply. In this article we survey the state of the art in research on sensor network security.

384 citations

Journal ArticleDOI
TL;DR: In this paper, a fuzzy multicriteria analysis (MA) model is used to evaluate service quality of domestic passenger airlines by customer surveys to reflect the inherent subjectiveness and imprecision of the customers' perceptions to the quality levels provided by airlines with respect to multiple service attributes, crisp survey results are represented and processed as fuzzy sets.

383 citations

Journal ArticleDOI
TL;DR: A novel routing-driven key management scheme, which only establishes shared keys for neighbor sensors that communicate with each other, which can provide better security with significant reductions on communication overhead, storage space and energy consumption than other key management schemes.
Abstract: Previous research on sensor network security mainly considers homogeneous sensor networks, where all sensor nodes have the same capabilities. Research has shown that homogeneous ad hoc networks have poor performance and scalability. The many-to-one traffic pattern dominates in sensor networks, and hence a sensor may only communicate with a small portion of its neighbors. Key management is a fundamental security operation. Most existing key management schemes try to establish shared keys for all pairs of neighbor sensors, no matter whether these nodes communicate with each other or not, and this causes large overhead. In this paper, we adopt a Heterogeneous Sensor Network (HSN) model for better performance and security. We propose a novel routing-driven key management scheme, which only establishes shared keys for neighbor sensors that communicate with each other. We utilize Elliptic Curve Cryptography in the design of an efficient key management scheme for sensor nodes. The performance evaluation and security analysis show that our key management scheme can provide better security with significant reductions on communication overhead, storage space and energy consumption than other key management schemes.

382 citations

Journal ArticleDOI
TL;DR: This investigation of Fenton and Fenton-like reactions at low iron concentration to oxidize three commercial azo dyes reveals that both of these methods can remove the color of these dyes completely and only produce little sludge in wastewater that meet local effluent standards and do not need to further treat.

380 citations

Journal ArticleDOI
TL;DR: A Clostridium butyricum strain, isolated from hydrogen-producing sewage sludge, was examined for its ability to produce H 2 from sucrose-based medium under different medium composition, pH, and carbon substrate concentration, suggesting that substrate inhibition may occur.

379 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
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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