Institution
National Taiwan University of Science and Technology
Education•Taipei, Taipei, Taiwan•
About: National Taiwan University of Science and Technology is a education organization based out in Taipei, Taipei, Taiwan. It is known for research contribution in the topics: Fuzzy logic & Control theory. The organization has 16288 authors who have published 21577 publications receiving 426294 citations. The organization is also known as: Taiwan Tech & Taiwantech.
Topics: Fuzzy logic, Control theory, Catalysis, Thin film, Adsorption
Papers published on a yearly basis
Papers
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TL;DR: This review examines recent advances in algal drying and disruption for nutrition or biofuel production and aims to provide useful information for future development of efficient and commercially viable algal food products and biofuels production.
194 citations
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TL;DR: Investigating the mediating process of job involvement in the relationship between job characteristics and OCB shows that the 3 job characteristics (i.e., task identity, task significance, and autonomy) positively influenced the display of an employee's OCB, whereas skill variety had a negative effect on OCB.
Abstract: Past researchers have found that motivating job characteristics can increase employee display of organizational citizenship behavior (OCB). In this study, the authors extended previous research by investigating the mediating process of job involvement in the relationship between job characteristics and OCB. The authors collected data from 323 employees and their supervisors from 7 companies in Taiwan. Results show that, through the mediating process of job involvement, the 3 job characteristics (i.e., task identity, task significance, and autonomy) positively influenced the display of an employee's OCB, whereas skill variety had a negative effect on OCB. The authors discuss implications of their findings, contributions, limitations, and future research directions.
194 citations
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TL;DR: Numerical results show that the generalized artificial noise scheme outperforms Goel and Negi's heuristic selection, especially in the near eavesdropper settings, and the regime with non-zero secrecy rate is enlarged, which can significantly improve the connectivity of the network.
Abstract: In this paper we consider the secure transmission with multiple-input, single-output, single-antenna eavesdropper (MISOSE) in fast fading channels where the transmitter knows perfect legitimate channel state information but only the statistics of the eavesdropper's channel. For the MISOSE channels, the artificial noise assisted beamforming proposed by Goel and Negi is a promising technique, where the artificial noise is imposed on the null space of the legitimate channel to disrupt the eavesdropper's reception. Here we propose a generalized artificial noise scheme which allows the injection of the artificial noise to the legitimate channel. Although the generalized artificial noise may cause the leakage of artificial noise at the legitimate receiver, the secrecy rate can still be improved since the covariance matrix of it is more flexible than the heuristic one selected by Goel and Negi. To fully characterize the proposed scheme, we investigate the optimization of its secrecy rate. We first derive the conditions under which the beamformers of the message bearing signal and the generalized artificial noise being the same is optimal. Based on this choice, the complicated secrecy rate optimization problem over the covariance matrices of the message-bearing signal and the generalized artificial noise can be reduced to a much simpler power allocation problem. We also develop an efficient algorithm to solve this non-convex power allocation problem. Numerical results show that our generalized artificial noise scheme outperforms Goel and Negi's heuristic selection, especially in the near eavesdropper settings. In particular, with the aid of the proposed scheme, the regime with non-zero secrecy rate is enlarged, which can significantly improve the connectivity of the network.
194 citations
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TL;DR: The design of a blockchain connected gateway which adaptively and securely maintains user privacy preferences for IoT devices in the blockchain network is proposed and the network is adopted as the underlying architecture of data processing and maintenance to resolve privacy disputes.
Abstract: Recently, the popularity of the Internet of Things (IoT) has led to a rapid development and significant advancement of ubiquitous applications seamlessly integrated within our daily life. Owing to the accompanying growth of the importance of privacy, a great deal of attention has focused on the issues of secure management and robust access control of IoT devices. In this paper, we propose the design of a blockchain connected gateway which adaptively and securely maintains user privacy preferences for IoT devices in the blockchain network. Individual privacy leakage can be prevented because the gateway effectively protects users’ sensitive data from being accessed without their consent. A robust digital signature mechanism is proposed for the purposes of authentication and secure management of privacy preferences. Furthermore, we adopt the blockchain network as the underlying architecture of data processing and maintenance to resolve privacy disputes.
194 citations
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TL;DR: The results show that the deposition of a poly(dopamine) layer on 3-D porous scaffolds is a simple and promising strategy for articular cartilage tissue engineering, and may be applied to other types of tissue engineering.
193 citations
Authors
Showing all 16326 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gerbrand Ceder | 137 | 682 | 76398 |
Jong-Sung Yu | 124 | 1051 | 72637 |
Tai-Shung Chung | 119 | 879 | 54067 |
En-Tang Kang | 97 | 763 | 38498 |
Koon Gee Neoh | 95 | 683 | 35008 |
Kisuk Kang | 93 | 345 | 31810 |
Duu-Jong Lee | 91 | 979 | 37292 |
Shyi-Ming Chen | 90 | 425 | 22172 |
Pi-Tai Chou | 90 | 614 | 30922 |
Chin Chung Tsai | 83 | 409 | 23043 |
Chung-Yuan Mou | 83 | 420 | 25075 |
Yuan T. Lee | 78 | 447 | 20517 |
Gwo-Hshiung Tzeng | 77 | 465 | 26807 |
Kuei-Hsien Chen | 75 | 652 | 24809 |
Shen-Ming Chen | 72 | 949 | 24444 |