Institution
Yanshan University
Education•Qinhuangdao, China•
About: Yanshan University is a education organization based out in Qinhuangdao, China. It is known for research contribution in the topics: Microstructure & Control theory. The organization has 19544 authors who have published 16904 publications receiving 184378 citations. The organization is also known as: Yānshān dàxué.
Papers published on a yearly basis
Papers
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TL;DR: A dynamic optimization scheme for the IoT fog computing system with multiple mobile devices (MDs), where the radio and computational resources, and offloading decisions, can be dynamically coordinated and allocated with the variation of radio resources and computation demands is proposed.
Abstract: Fog computing system is able to facilitate computation-intensive applications and emerges as one of the promising technology for realizing the Internet of Things (IoT). By offloading the computational tasks to the fog node (FN) at the network edge, both the service latency and energy consumption can be improved, which is significant for industrial IoT applications. However, the dynamics of computational resource usages in the FN, the radio environment and the energy in the battery of IoT devices make the offloading mechanism design become challenging. Therefore, in this article, we propose a dynamic optimization scheme for the IoT fog computing system with multiple mobile devices (MDs), where the radio and computational resources, and offloading decisions, can be dynamically coordinated and allocated with the variation of radio resources and computation demands. Specifically, with the objective to minimize the system cost related to latency, energy consumption, and weights of MDs, we propose a joint computation offloading and radio resource allocation algorithm based on Lyapunov optimization. Through minimizing the derived upper bound of the Lyapunov drift-plus-penalty function, we divide the main problem into several subproblems at each time slot and address them accordingly. Through performance evaluation, the effectiveness of the proposed scheme can be verified.
92 citations
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TL;DR: A local adaptive law is introduced for the design of consensus protocol that enable all followers’ state variables to consensus with that of leader asymptotically and are fully distributed.
Abstract: The leader-following consensus problem is investigated for second-order time-varying nonlinear multiagent systems with unmodeled dynamics and unknown parameters over directed communication topology. Under the assumption that the unknown nonlinearities satisfy Lipschitz conditions with time-varying gains, a local adaptive law is introduced for the design of consensus protocol that enable all followers’ state variables to consensus with that of leader asymptotically. The proposed protocols are independent of system parameters and only require the relative state information of its neighbors, and hence they are fully distributed. Simulation examples are given to illustrate the effectiveness of the theoretical results.
92 citations
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TL;DR: In this paper, hot deformation characteristics of a Ni-base superalloy were studied in the temperature range 1000-1200°C and strain rate range 0.001-1.0 s −1 using hot compression tests.
92 citations
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TL;DR: In this article, a coupled bistable signal processing method was proposed to improve the performance of the traditional stochastic resonance (SR) method for weak signal detection, and a weighted spectral peak signal-to-noise ratio (WPSNR) index was constructed by using spectral peak SNR, spectral correlation coefficient and zero-crossing ratio.
92 citations
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TL;DR: A novel methodology based on permutation analysis and conditional mutual information for estimation of a directionality index between two neuronal populations is presented, suggesting that the permutation conditional mutual Information method is a promising technique for estimating directional coupling between mutually interconnected neuronal populations.
92 citations
Authors
Showing all 19693 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jian Yang | 142 | 1818 | 111166 |
Peng Shi | 137 | 1371 | 65195 |
Tao Zhang | 123 | 2772 | 83866 |
David Zhang | 111 | 1027 | 55118 |
Lei Liu | 98 | 2041 | 51163 |
Guoliang Li | 84 | 795 | 31122 |
Hao Yu | 81 | 981 | 27765 |
Jian Yu Huang | 81 | 339 | 26599 |
Chen Chen | 76 | 665 | 24846 |
Wei Jin | 71 | 929 | 21569 |
Xiaoli Li | 69 | 877 | 20690 |
K. L. Ngai | 64 | 412 | 15505 |
Zhiqiang Zhang | 60 | 595 | 16675 |
Hak-Keung Lam | 59 | 414 | 12890 |
Wei Wang | 58 | 229 | 14230 |