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Evolutionary Particle Swarm Optimization Algorithm Based on Collective Prediction for Deployment of Base Stations

Computers, Materials & Continua 2025年第1期82卷 345-369页

作者： Jiaying Shen Donglin Zhu Yujia Liu leyi wang Jialing Hu Zhaolong Ouyang Changjun Zhou Taiyong Li School of Computer Science and Technology Zhejiang Normal UniversityJinhua321004China School of Future Technologies Jiangxi Institute of Applied Science and TechnologyNanchang330000China School of Computing and Artificial Intelligence Southwestern University of Finance and EconomicsChengdu611130China

The wireless signals emitted by base stations serve as a vital link connecting people in today’s society and have been occupying an increasingly important role in real *** development of the Internet of Things(IoT)relies on the support of base stations,which provide a solid foundation for achieving a more intelligent way of *** a specific area,achieving higher signal coverage with fewer base stations has become an urgent ***,this article focuses on the effective coverage area of base station signals and proposes a novel Evolutionary Particle Swarm Optimization(EPSO)algorithm based on collective prediction,referred to herein as *** a new strategy called neighbor-based evolution prediction(NEP)addresses the issue of premature convergence often encountered by *** also employs a strengthening evolution(SE)strategy to enhance the algorithm’s global search capability and efficiency,ensuring enhanced robustness and a faster convergence speed when solving complex optimization *** better adapt to the actual communication needs of base stations,this article conducts simulation experiments by changing the number of base *** experimental results demonstrate thatunder the conditionof 50 ormore base stations,ECPPSOconsistently achieves the best coverage rate exceeding 95%,peaking at 99.4400%when the number of base stations reaches *** results validate the optimization capability of the ECPPSO algorithm,proving its feasibility and *** ablative experiments and comparisons with other algorithms highlight the advantages of ECPPSO.

关键词： Particle swarm optimization effective coverage area global optimization base station deployment

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Network Robustness Depth and Topology Management of Networked Dynamic Systems

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Journal of Systems Science & Complexity 2016年第1期29卷 1-21页

作者： wang leyi LIN Feng YIN George Department of Electrical and Computer Engineering Wayne State University Department of Mathematics Wayne State University

Networked control systems are subject to adversary conditions that affect their network *** ensure reliable system operations,network topologies need to be characterized and managed for their impact on the overall system *** paper introduces the concept of network robustness depth for this *** event systems are used as a foundation to model dynamic behavior of network topologies,support their analysis,and carry out their *** analysis relates the link reliability probabilities to a probabilistic characterization of network robustness *** topology management strategies are discussed,including passive methods,random strategies,and optimization *** respective benefits and limitations are *** using platoon control as a platform of hybrid(continuous and discrete event) systems and packet erasure channels as a communication protocol,the results are demonstrated with case studies.

关键词： Network depth network topology robustness

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How much information is needed in quantized nonlinear control?

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Science China(Information Sciences) 2018年第9期61卷 205-217页

作者： Chuang ZHENG Lin LI leyi wang Chanying LI School of Mathematical Sciences Beijing Normal University Department of Electrical and Computer Engineering Wayne State University Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences

Quantization rate is a crucial measure of complexity in determining stabilizability of control systems subject to quantized state measurements. This paper investigates quantization complexity for a class of nonlinear systems which are subjected to disturbances of unknown statistics and unknown bounds. This class of systems includes linear stablizable systems as special cases. Two lower bounds on the quantization rates are derived which guarantee input-to-state stabilizability for continuous-time and sampled-data feedback strategies, respectively. Simulation examples are provided to validate the results.

关键词： nonlinear systems disturbances input-to-state stabilizability sampled systems quantization rate

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Distributed optimization with Markovian switching targets and stochastic observation noises with applications to DC microgrids

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Science China(Information Sciences) 2022年第12期65卷 232-247页

作者： Siyu XIE leyi wang Masoud H.NAZARI George YIN Gun LI School of Aeronautics and Astronautics University of Electronic Science and Technology of China Department of Electrical and Computer Engineering Wayne State University Department of Mathematics University of Connecticut

A distributed optimization problem with Markovian switching targets and stochastic observation noises is considered in this paper. In order to solve target following and renewable following for microgrid(MG) optimal power balancing, and to attenuate observation noises simultaneously, distributed optimization algorithms are developed. The interaction between observation noises and Markovian switching targets may introduce a fundamental tradeoff in reducing the optimization errors and choosing the step size. Furthermore, under infrequent Markovian switching assumptions, the mean-square optimization error bounds, the switching ordinary differential equation(ODE) limit, and the asymptotic distributions of the optimization errors are established rigorously and comprehensively. A simulation example on a DC MG is presented to show the main results of the paper.

关键词： constraint optimization noisy observation output variation Markovian switching target distributed algorithm DC microgrid

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HOT DEFORMATION OF CAST Pr-Fe-B MAGNETS

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Acta Metallurgica Sinica(English Letters) 1992年第11期5卷 357-363页

作者： CHEN Zhongmin SHI Zhengxing wang leyi FU Hengzhi Northwestern Polytechnical University,Xi’an,China Northwestern Polytechnical Univ Xi'an China

The hot deformation process of cast Pr_(19)Fe_(74.5)B_5Cu_(1.5) magnets were *** is found that the easy-axes are aligned parallel to the compressive strain direction in vari- ous hot deformation *** hot deformation,the crushing of Pr_2Fe_(14)B matrix grains and the relative slip and rotation between the grains take place and the Pr-rich melt is squeezed out of the magnet,leading to a fine,dense and well-aligned microstruc- ture in the fully-deformed *** properties of B_r=990 mT,_iH_c=880 kA/m and(BH)_m=191 kJ/m^3are *** increase of coercivity is attributed to the fine Pr_2Fe_(14)B grains and the thin Pr-rich phase layer continuously distributed at the grain *** increasing remanence is resulted primarily from the develop- ment of the easy-axis alignment as well as from the densification of the Pr_2Fe_(14)B matrix. The easy-axis alignment is developed by the relative slip and rotation of the crushed Pr_2Fe_(14)B grains.A full and slow hot deformation is necessary for the good easy-axis alighnment and high magnetic properties.

关键词： Pr-Fe-B magnet hot deformation microstructure magnetic property

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High-accuracy primary and transfer standards for radiometric calibration

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Chinese Science Bulletin 2000年第21期45卷 2009-2013页

作者： Xiaobing Zheng Haoyu Wu Junping Zhang Yucheng Liu Wei Zhou leyi wang Yanli Qiao Chinese Acad Sci Anhui Inst Opt & Fine Mech Remote Sensing Dept Hefei 230031 Peoples R China

The first research and experimental results obtained in China of high-accuracy radiometric calibration based on cryogenic radiometer are reported. Uncertainties of cryogenic radiometer and trap detectors at 7 wavelengths in the visible spectrum (488-786 nm) were less than 0.023% and 0.035% respectively, which proved the reasonability and possibility of establishing and transferring high-accuracy radiometric standards based on detectors.

关键词： radiometric calibration cryogenic radiometer trap detector.

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Fault diagnosis for lithium-ion batteries in electric vehicles based on signal decomposition and two-dimensional feature clustering

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Green Energy and Intelligent Transportation 2022年第1期1卷 121-132页

作者： Shuowei Li Caiping Zhang Jingcai Du Xinwei Cong Linjing Zhang Yan Jiang leyi wang National Active Distribution Network Technology Research Center(NANTEC) Beijing Jiaotong UniversityBeijing 100044China Sunwoda Electronic Co. Ltd.Shenzhen518100China Department of Electrical&Computer Engineering Wayne State UniversityDetroitMI 48202USA

Battery fault diagnosis is essential for ensuring the reliability and safety of electric vehicles(EVs).The existing battery fault diagnosis methods are difficult to detect faults at an early stage based on the real-world vehicle data since lithium-ion battery systems are usually accompanied by inconsistencies,which are difficult to distinguish from faults.A fault diagnosis method based on signal decomposition and two-dimensional feature clustering is introduced in this *** geometry mode decomposition(SGMD)is introduced to obtain the components characterizing battery states,and distance-based similarity measures with the normalized extended average voltage and dynamic time warping distances are established to evaluate the state of *** 2-dimensional feature clustering based on DBSCAN is developed to reduce the number of feature thresholds and differentiate flaw cells from the battery pack with only one parameter under a wide range of *** proposed method can achieve fault diagnosis and voltage anomaly identification as early as 43 days ahead of the thermal *** the results of four electric vehicles and the comparison with other traditional methods validated the proposed method with strong robustness,high reliability,and long time scale warning,and the method is easy to implement online.

关键词： Electric vehicle Fault diagnosis Extended average voltage Dynamic time warping Feature clustering

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SIGNAL ESTIMATION WITH BINARY-VALUED SENSORS

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Journal of Systems Science & Complexity 2010年第3期23卷 622-639页

作者： leyi wang Gang George YIN Chanying LI Weixing ZHENG Department of Electrical and Computer Engineering Wayne State University Detroit Michigan 48202 USA Department of Mathematics Wayne State University Detroit Michigan 48202 USA Department of Mechanical Engineering The University of Hong Kong Pokfulam Road Hong Kong China School of Computing and Mathematics University of Western Sydney Australia

This paper introduces several algorithms for signal estimation using binary-valued *** main idea is derived from the empirical measure approach for quantized identification,which has been shown to be convergent and asymptotically efficient when the unknown parametersare *** estimation under binary-valued observations must take into consideration oftime varying *** empirical measure based algorithms are modified with exponentialweighting and threshold adaptation to accommodate time-varying natures of the *** anyinformation on signal generators,the authors establish estimation algorithms,interaction between noisereduction by averaging and signal tracking,convergence rates,and asymptotic efficiency.A thresholdadaptation algorithm is *** convergence and convergence rates are analyzed by using theODE method for stochastic approximation problems.

关键词： Identification signal estimation.

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INFORMATION AND COMPLEXITY IN CONTROL SYSTEMS: A TUTORIAL

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Journal of Systems Science & Complexity 2001年第1期14卷 1-16页

作者： wang leyi (Department of Electrical and Computer Engineering, Wayne State University, Detroit, Michigan 48202, USA) Wayne State University 美国 48202

This is a tutorial paper which presents schematically the concepts of information, uncertainty, and complexity, and their relationships in their applications to control systems. By focusing on exact or lower bounds on achievable performance in the presence of uncertainties, studies of complexity in a control system can potentially reveal fundamentally limiting factors of the system, suggest beneficial modifications to system structures and hardware configurations to remove these limitations, provide benchmark values for evaluating a design and for quantifying rooms for performance improvement, and demonstrate intrinsic tradeoffs. Compared to its counterparts in communications (Shannon’s information theory), computations (computational complexity and information-based complexity), and approxima- tions (n-widths and Kolmogorov entropy), studies of information and complexity in control systems encounter further challenges, such as characterization of feedback robustness, interaction between identification and control, and co-existence of deterministic and stochastic uncertainties. Some of these issues are outlined and discussed.

关键词： Information uncertainty complexity control identification.

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Genomic variation,origin tracing,and vaccine development of SARS-CoV-2:A systematic review

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The Innovation 2021年第2期2卷 84-94页

作者： Tianbao Li Tao Huang Cheng Guo Ailan wang Xiaoli Shi Xiaofei Mo Qingqing Lu Jing Sun Tingting Hui Geng Tian leyi wang Jialiang Yang Genetic Testing Center Academician WorkstationChangsha Medical UniversityChangsha 410219China Geneis(Beijing)Co. LtdBeijing 100102China Qingdao Geneis Institute of Big Data Mining and Precision Medicine Qingdao 266000China Shanghai Institute of Nutrition and Health Chinese Academy of SciencesShanghai 200031China Center for Infection and Immunity School of Public HealthColumbia UniversityNew YorkNY 10032USA Department of Pathology The George Washington University School of Medicine and Health SciencesWashingtonDC 20052USA Veterinary Diagnostic Laboratory and Department of Veterinary Clinical Medicine College of Veterinary MedicineUniversity of Illinois at Urbana-ChampaignUrbanaIL 61802USA

COVID-19 has spread globally to over 200 countries with more than 40 million confirmed cases and one million deaths as of November 1,*** SARS-CoV-2 virus,leading to COVID-19,shows extremely high rates of infectivity and replication,and can result in pneumonia,acute respiratory distress,or even ***-CoV-2 has been found to continue to rapidly evolve,with several genomic variants emerging in different regions throughout the *** addition,despite intensive study of the spike protein,its origin,and molecular mechanisms in mediating host invasion are still only partially ***,the repertoire of drugs for COVID-19 treatment is still limited,with several candidates still under clinical trial and no effective therapeutic yet *** vaccines based on either DNA/mRNA or protein have been deployed,their efficacy against emerging variants requires ongoing study,with multivalent vaccines supplanting the first-generation vaccines due to their low efficacy against new ***,we provide a systematic review of studies on the epidemiology,immunological pathogenesis,molecular mechanisms,and structural biology,as well as approaches for drug or vaccine development for SARSCoV-2.

关键词： COVID-19 SARS-CoV-2 origin tracing infection mechanism SARS-CoV-2 vaccine

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