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An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT

Digital Communications and Networks 2022年第6期8卷 900-910页

作者： M.S.Mekala Gautam Srivastava Ju h.park ho-Youl Jung Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38544South Korea RLRC LAb for Autonomous Vehicle Parts and Materials Innovation Yeungnam UniversityGyeongsan38544South Korea Department of Math and Computer Science Brandon UniversityBrandonCanada Department of Electrical Engineering Yeungnam UniversityGyeongsanSouth Korea Research Centre for Interneural Computing China Medical UniversityTaichungTaiwanChina

Social Edge Service(SES)is an emerging mechanism in the Social Internet of Things(SIoT)orchestration for effective user-centric reliable communication and *** services are affected by active and/or passive attacks such as replay attacks,message tampering because of sharing the same spectrum,as well as inadequate trust measurement methods among intelligent devices(roadside units,mobile edge devices,servers)during computing and *** issues lead to computation and communication overhead of servers and computation *** address this issue,we propose the hybridgrAph-Deep-learning(hAD)approach in two stages for secure communication and ***,the Adaptive Trust Weight(ATW)model with relation-based feedback fusion analysis to estimate the fitness-priority of every node based on directed graph theory to detect malicious nodes and reduce computation and communication ***,a Quotient User-centric Coeval-Learning(QUCL)mechanism to formulate secure channel selection,and Nash equilibrium method for optimizing the communication to share data over edge *** simulation results confirm that our proposed approach has achieved effective communication and computation performance,and enhanced Social Edge Services(SES)reliability than state-of-the-art approaches.

关键词： Edge computing Adaptive trust weight(ATW)model Quotient user-centric coeval-learning(QUCL)mechanism Deep learning Service reliability

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Synchronization of chaotic Lur'e systems with delayed feedback control using deadzone nonlinearity

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Chinese Physics B 2011年第1期20卷 209-214页

作者： S.M.Lee O.M.Kwon Ju h.park Department of Electronic Engineering Daegu UniversityGyungsan 712-714Republic of Korea School of Electrical Engineering Chungbuk National University410 SungBong-RoHeungduk-guCheongju 361-763Republic of Korea Department of Electrical Engineering Yeungnam University214-1 Dae-DongKyongsan 712-749Republic of Korea

In this paper we present a synchronization method for chaotic Lur＇e systems by constructing a new piecewise Lyapunov function. Using a delayed feedback control scheme, a delay-dependent stability criterion is derived for the synchronization of chaotic systems that are represented by Lur＇e systems with deadzone nonlinearity. Based on the Lyapunov-Krasovskii functional and by using some properties of the nonlinearity, a new delay-dependent stabilization condition for synchronization is obtained via linear matrix inequality （LMI） formulation. The criterion is less conservative than existing ones, and it will be verified through a numerical example.

关键词： Lur'e systems synchronization deadzone linear matrix inequality

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A new approach to stability analysis of neural networks with time-varying delay via novel Lyapunov-Krasovskii functional

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Chinese Physics B 2010年第5期19卷 115-120页

作者： S.M.Lee O.M.Kwon Ju h.park Department of Electronic Engineering Daegu UniversityGyungsanGyungbuk 712-714Republic of Korea College of Electrical and Computer Engineering 410 SungBong-RoHeungduk-GuChungbuk National UniversityCheongju 361-763Republic of Korea Nonlinear Dynamics Group Department of Electrical EngineeringYeungnam University214-1 Dae-DongKyongsan 712-749Republic of Korea

In this paper, new delay-dependent stability criteria for asymptotic stability of neural networks with time-varying delays are derived. The stability conditions are represented in terms of linear matrix inequalities （LMIs） by constructing new Lyapunov-Krasovskii functional. The proposed functional has an augmented quadratic form with states as well as the nonlinear function to consider the sector and the slope constraints. The less conservativeness of the proposed stability criteria can be guaranteed by using convex properties of the nonlinear function which satisfies the sector and slope bound. Numerical examples are presented to show the effectiveness of the proposed method.

关键词： neural networks Lyapunov-Krasovskii functional sector bound time-delay

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Game and Dynamic Communication Path-Based Pricing Strategies for Microgrids Under Communication Interruption

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 1032-1047页

作者： Bo Zhang Chunxia Dou Dong Yue Ju h.park Yudi Zhang Zhanqiang Zhang Institute of Advanced Technology Nanjing University of Posts and TelecommunicationsNanjing 210023China Department of Electrical Engineering Yeungnam UniversityGyeongsan 38541South Korea Nanjing University Nanjing 210093China.She is now with the University of BristolBristol BS81QUUK

Nowadays,the microgrid cluster is an important application scenario for energy *** trading,one of the most important research directions is the issue of *** determine reasonable pricing for the microgrid cluster,data communication is used to create the cyber-physical system(CPS),which can improve the observability of ***,the following works are carried out in the *** the physical layer:1)Regarding trading between microgrids and the load,based on the generalized game theory,an optimal pricing strategy is proposed,which takes into account the interactive relationships among microgrids and transforms the pricing problem into a Nikaido-Isoda function to obtain the optimal prices conveniently;2)Regarding peer-to-peer trading between two microgrids,based on evolutionary game theory and the penalty mechanism,the optimal sale price of the seller is selected with boundary *** the cyber layer,regarding the communication interruption issue existing in pricing(i.e.,the game process),based on the principle of matching the performance of the path with the importance degree of the data,a dynamic regulating method of paths is proposed,i.e.,adopting a new path to re-transmit the interrupted data to the ***,the effect of the proposed strategies is verified by case studies.

关键词： Communication interruption dynamic regulating

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State estimation for neural neutral-type networks with mixed time-varying delays and Markovian jumping parameters

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Chinese Physics B 2012年第10期21卷 29-37页

作者： S.Lakshmanan Ju h.park h.Y.Jung P.Balasubramaniam Department of Information and Communication Engineering/Electrical Engineering Yeungnam University214-1 Dae-DongKyongsan 712-749Republic of Korea Department of Mathematics Gandhigram Rural Institute-Deemed UniversityGandhigram - 624 302TamilnaduIndia

This paper is concerned with a delay-dependent state estimator for neutral-type neural networks with mixed timevarying delays and Markovian jumping *** addressed neural networks have a finite number of modes,and the modes may jump from one to another according to a Markov *** construction of a suitable Lyapunov-Krasovskii functional,a delay-dependent condition is developed to estimate the neuron states through available output measurements such that the estimation error system is globally asymptotically stable in a mean *** criterion is formulated in terms of a set of linear matrix inequalities（LMIs）,which can be checked efficiently by use of some standard numerical packages.

关键词： neural networks state estimation neutral delay Markovian jumping parameters

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Impulsive effect on exponential synchronization of neural networks with leakage delay under sampled-data feedback control

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Chinese Physics B 2014年第7期23卷 218-229页

作者： S.Lakshmanan Ju h.park Fathalla A.Rihan R.Rakkiyappan Department of Mathematical Sciences College of ScienceUAE University Nonlinear Dynamics Group Department of Electrical EngineeringYeungnam University Department of Mathematics Bharathiar University

We consider the impulsive effect on the exponential synchronization of neural networks with leakage delay under the sampled-data feedback control. We use an appropriate Lyapunov-Krasovskii functional combined with the input delay approach and some inequality techniques to derive sufficient conditions that ensure the exponential synchronization of the delayed neural network. The conditions are formulated in terms of the leakage delay, the sampling period, and the exponential convergence rate. Numerical examples are given to demonstrate the usefulness and the effectiveness of the results.

关键词： exponential synchronization impulsive effect leakage delay sampled-data feedback

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Synchronization criteria for coupled hopfield neural networks with time-varying delays

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Chinese Physics B 2011年第11期20卷 140-150页

作者： M.J.park O.M.Kwon Ju h.park S.M.Lee E.J.Cha School of Electrical Engineering Chungbuk National University Department of Electrical Engineering Yeungnam University School of Electronic Engineering Daegu University Department of Biomedical Engineering School of MedicineChungbuk National University

This paper proposes new delay-dependent synchronization criteria for coupled hopfield neural networks with time-varying delays. By construction of a suitable Lyapunov Krasovskii＇s functional and use of Finsler＇s lemma, novel synchronization criteria for the networks are established in terms of linear matrix inequalities （LMIs） which can be easily solved by various effective optimization algorithms. Two numerical examples are given to illustrate the effectiveness of the proposed methods.

关键词： hopfield neural networks coupling delay synchronization Lyapunov method

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Leader-following consensus criteria for multi-agent systems with time-varying delays and switching interconnection topologies

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Chinese Physics B 2012年第11期21卷 144-153页

We consider multi-agent systems with time-varying delays and switching interconnection topologies. By con- structing a suitable Lyapunov-Krasovskii functional and using the reciprocally convex approach, new delay-dependent consensus criteria for the systems are established in terms of linear matrix inequalities （LMIs）, which can be easily solved by using various effective optimization algorithms. Two numerical examples are given to illustrate the effectiveness of the proposed methods.

关键词： consensus multi-agent systems time delay Lyapunov method

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Unassisted overall water splitting with a solar-to-hydrogen efficiency of over 10% by coupled lead halide perovskite photoelectrodes

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Carbon Energy 2023年第1期5卷 134-143页

作者： Ryan Rhee Tae G.Kim Gyu Y.Jang Gwangmin Bae Jung h.Lee Sunje Lee Sungsoon Kim Seokwoo Jeon Jong h.park Department of Chemical and Biomolecular Engineering Yonsei UniversitySeoulRepublic of Korea Department of Materials Science and Engineering KAIST Institute for The Nanocentury(KINC)Korea Advanced Institute of Science and Technology(KAIST)DaejeonRepublic of Korea

hydrogen is a promising future sustainable fuel candidate with boundless *** into photoelectrochemical(PEC)water splitting based on a lead halide perovskite(LhP)has progressed significantly with the aim of more efficient solar hydrogen ***,we unite a well-known photo-absorbing LhP with cost-effective water-splitting catalysts,and we introduce two types of monolithic LhP-based PEC devices that act as a photocathode and a photoanode for the hydrogen evolution reaction and oxygen evolution reaction,leading to efficient unbiased overall water *** the integration of these two monolithic LhP-based photoelectrodes,an unbiased solar-to-hydrogen conversion efficiency of 10.64%and a photocurrent density of 8.65 mA cm^(−2) are achieved.

关键词： perovskite photoelectrochemical cell photoelectrode unassisted

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定量CT深度学习评估进行性肺间质纤维化病变的价值

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国际医学放射学杂志 2024年第05期 619-619页

作者： S.Y.Koh J.h.Lee h.park J.M.Goo 许振华苗彦

目的旨在探讨基于深度学习的间质性肺病（ILD）CT定量变化与用力肺活量（FVC）变化和ILD进展视觉评估间的关系，并评价其预后价值。方法纳入2015年1月—

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