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Junsheng Gao,Moon-Mo Sim 한국비교정부학회 2010 한국비교정부학보 Vol.14 No.1
At present, China has launched a vigorous campaign of the new rural construction campaign from top to bottom, central and fundamental levels of government try to find an effective solution to the crux of the problem restricting China's rural development and explore the rural modernization developmental model. The strategy about 'Urbanization Constructions of Rural Areas' as the core of the 'New Rural Construction' Plan has been decided by the central government of China. This thesis was focused on FanChang County which in the southern part of Anhui Province as an epitome including 'administration reform', 'economic construction' and 'education and welfare', those three aspects to research the improvement plan of urbanization strategy of China's rural areas. Firstly, 'administration reform' including two parts of aspect. The one is from the aspect of re-planning of the rural area administrative organs, The another one is personnel employment system and the public servant appraisal system, Secondly, 'economic construction' including four parts of aspect. They are the infrastructure constructions, industrialization constructions, real estate development, and developing specialty industries. Thirdly, 'education and welfare' including three parts of aspect. They are school education, medical care, and social insurance.
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A New Fuzzy Key Generation Method Based on PHY-Layer Fingerprints in Mobile Cognitive Radio Networks
( Ning Gao ),( Xiaojun Jing ),( Songlin Sun ),( Junsheng Mu ),( Xiang Lu ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.7
Classical key generation is complicated to update and key distribution generally requires fixed infrastructures. In order to eliminate these restrictions researchers have focused much attention on physical-layer (PHY-layer) based key generation methods. In this paper, we present a PHY-layer fingerprints based fuzzy key generation scheme, which works to prevent primary user emulation (PUE) attacks and spectrum sensing data falsification (SSDF) attacks, with multi-node collaborative defense strategies. We also propose two algorithms, the EA algorithm and the TA algorithm, to defend against eavesdropping attacks and tampering attacks in mobile cognitive radio networks (CRNs). We give security analyses of these algorithms in both the spatial and temporal domains, and prove the upper bound of the entropy loss in theory. We present a simulation result based on a MIMO-OFDM communication system which shows that the channel response characteristics received by legitimates tend to be consistent and phase characteristics are much more robust for key generation in mobile CRNs. In addition, NIST statistical tests show that the generated key in our proposed approach is secure and reliable.
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Mengmeng Gao,Junsheng Zhao,Jianwei Xia,Zong-Yao Sun 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.9
This paper addresses the problem of output feedback stabilization for stochastic nonlinear time-varying delay systems with an unknown output function. A remarkable feature of the system to be considered is the simultaneous presence of a continuous unknown sensitivity function and the stochastic disturbances, which have not been treated together before. A new observer is designed by using a dynamic gain without using the information on unknown time-varying delay and nonlinearities. With the aid of the observer, an output feedback controller is constructed by the stochastic double-domination method, where two gains are used to handle the unknown output function and nonlinearities. The performance of the system is analyzed in detail via two integral Lyapunov functions. Finally, the efficiency of the control strategy is illustrated by a simulation example.
KCI
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