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Zhu, Mingyang,Park, Seon Young,Kang, TaeHoon,Han, Hyun Gyu,Jun, Ho Young,Ryu, Si Ok Taylor & Francis Inc. 2017 Molecular Crystals and Liquid Crystals Vol.645 No.1
<P>In this study, CuIn1-xGaxSe2 (x = 0 approximate to 0.5) thin films were synthesized by using a multi-layer spray (MLS) process with Se powder and then CdS buffer layer deposited by CBD deposition process. The as-deposited CIGS thin films were selenized during the rapid thermal process (RTP) in order to improve the crystallization of films and to avoid their oxidation. The obtained samples were systematically characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray photoelectron (XPS) and UV-vis spectroscopy. The physicochemical properties of the prepared films were good enough to be used in CIGS solar cell devices on the basis of analytical results.</P>
Wang, Qiuhua,Kang, Mingyang,Yuan, Lifeng,Wang, Yunlu,Miao, Gongxun,Choo, Kim-Kwang Raymond Korean Society for Internet Information 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7
Channel characteristic-based physical layer authentication is one potential identity authentication scheme in wireless communication, such as used in a fog computing environment. While existing channel characteristic-based physical layer authentication schemes may be efficient when deployed in the conventional wireless network environment, they may be less efficient and practical for the industrial wireless communication environment due to the varying requirements. We observe that this is a topic that is understudied, and therefore in this paper, we review the constructions and performance of several commonly used test statistics and analyze their performance in typical industrial wireless networks using simulation experiments. The findings from the simulations show a number of limitations in existing channel characteristic-based physical layer authentication schemes. Therefore, we believe that it is a good idea to combine machine learning and multiple test statistics for identity authentication in future industrial wireless network deployment. Four machine learning methods prove that the scheme significantly improves the authentication accuracy and solves the challenge of choosing a threshold.
( Qiuhua Wang ),( Mingyang Kang ),( Lifeng Yuan ),( Yunlu Wang ),( Gongxun Miao ),( Kim-kwang Raymond Choo ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.6
Channel characteristic-based physical layer authentication is one potential identity authentication scheme in wireless communication, such as used in a fog computing environment. While existing channel characteristic-based physical layer authentication schemes may be efficient when deployed in the conventional wireless network environment, they may be less efficient and practical for the industrial wireless communication environment due to the varying requirements. We observe that this is a topic that is understudied, and therefore in this paper, we review the constructions and performance of several commonly used test statistics and analyze their performance in typical industrial wireless networks using simulation experiments. The findings from the simulations show a number of limitations in existing channel characteristic-based physical layer authentication schemes. Therefore, we believe that it is a good idea to combine machine learning and multiple test statistics for identity authentication in future industrial wireless network deployment. Four machine learning methods prove that the scheme significantly improves the authentication accuracy and solves the challenge of choosing a threshold.
Yang Qu,Rongpeng Dong,Mingyang Kang,Jianwu Zhao 한국조직공학과 재생의학회 2015 조직공학과 재생의학 Vol.12 No.3
We wanted to know whether K-ROD (KD) internal fixation system could ameliorate lumbar adjacent segment degeneration (LASD) diseases. From May 2010 to May 2012, 66 patients with lumbar LASD were repaired via KD system. The outcome for LASD was analyzed using visual analogue scale (VAS), Oswestry disability index (ODI) and the 36-Item Short Form Health Survey. Meanwhile, range of motion (ROM) of total lumbar and dynamic fixation segments were also examined. Twelve patients inquired the removal of KD system because of fatigue during the first year after surgery. For remaining patients, the mean VAS score for back pain was 45.2±28.7 before operation, and decreased to 22.3±14.2 after two-year surgery (p<0.01); meanwhile, the mean ODI score was decreased from 76.5±11.2% to 21.1±5.4% (p<0.01). SF-36 parameters were significantly improved compared with those acquired the removal of KD system (p<0.01). Total 45 patients restored flexion-extension ROM after surgery (p<0.01). More than 80% disc generation was improved by KD system. KD system is an effective therapeutic way for treating LASD patients. The dynamic stabilization system preserves the motion of fixation segment and provides an alternative for therapy of lumbar LASD.