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Optimal PV array reconfiguration under partial shading condition through dynamic leader based collective intelligence

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Protection and Control of Modern Power Systems 2023年第3期8卷 47-62页

作者： yutong wang Bo Yang Faculty of Electric Power Engineering Kunming University of Science and TechnologyKunming 650500China

This paper applies the innovative idea of DLCI to PV array reconfiguration under various PSCs to capture the maxi-mum output power of a PV generation *** is a hybrid algorithm that integrates multiple meta-heuristic *** the competition and cooperation of the search mechanisms of different metaheuristic algorithms,the local exploration and global development of the algorithm can be effectively improved to avoid power mismatch of the PV system caused by the algorithm falling into a local optimum.A series of discrete operations are performed on DLCI to solve the discrete optimization problem of PV array *** structures(DLCI-I and DLCI-II)are designed to verify the effect of increasing the number of sub-optimizers on the optimized performance of DLCI by simulation based on 10 cases of *** simulation shows that the increase of the number of sub-optimizers only gives a relatively small improvement on the DLCI optimization *** has a significant effect on the reduction in the number of power peaks caused by *** PV array-based reconstruction system of DLCI-II is reduced by 4.05%,1.88%,1.68%,0.99%and 3.39%,when compared to the secondary optimization algorithms.

关键词： PV array reconfiguration Partial shading condition Dynamic leader based collective intelligence Maximum power extraction Total-cross-tied

Integrated Inspection of QoM, QoP, and QoS for AOI Industries in Metaverses

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IEEE/CAA Journal of Automatica Sinica 2022年第12期9卷 2071-2078页

作者： yutong wang Yonglin Tian Jiangong wang Yansong Cao Shixing Li Bin Tian IEEE The State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China North Automatic Control Technology Institute in Taiyuan ShanxiChina Qingdao Academy of Intelligent Industries Shandong 266109China

With the rapid development of information technologies such as digital twin, extended reality, and blockchain,the hype around "metaverse" is increasing at astronomical speed. However, much attention has been paid to its entertainment and social functions. Considering the openness and interoperability of metaverses, the market of quality inspection promises explosive growth. In this paper, taking advantage of metaverses, we first propose the concept of Automated Quality Inspection(Auto QI), which performs integrated inspection covering the entire manufacturing process, including Quality of Materials, Quality of Manufacturing(Qo M), Quality of Products, Quality of Processes(Qo P), Quality of Systems, and Quality of Services(Qo S). Based on the scenarios engineering theory, we discuss how to perform interactions between metaverses and the physical world for virtual design instruction and physical validation feedback. Then we introduce a bottomup inspection device development workflow with productivity tools offered by metaverses, making development more effective and efficient than ever. As the core of quality inspection,we propose Quality Transformers to complete detection task,while federated learning is integrated to regulate data *** summary, we point out the development directions of quality inspection under metaverse tide.

关键词： Automated Optical Inspection Metaverses Quality Inspection Transformers

User Satisfaction-Aware Edge Computation Offloading in 5G Multi-Scenario

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Journal of Communications and Information Networks 2023年第3期8卷 271-282页

作者： Xiaochuan Sun Xiaoyu Niu yutong wang Yingqi Li College of Artificial Intelligence North China University of Science and TechnologyTangshan 063210China Hebei Key Laboratory of Industrial Intelligent Perception Tangshan 063210China School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China

Edge computation offloading has made some progress in the fifth generation mobile network(5G).However,load balancing in edge computation offloading is still a challenging ***,with the continuous pursuit of low execution latency in 5G multi-scenario,the functional requirements of edge computation offloading are further *** the above challenges,we raise a unique edge computation offloading method in 5G multi-scenario,and consider user *** method consists of three functional parts:offloading strategy generation,offloading strategy update,and offloading strategy ***,the offloading strategy is generated by means of a deep neural network(DNN),then update the offloading strategy by updating the DNN ***,we optimize the offloading strategy based on changes in user *** summary,compared to existing optimization methods,our proposal can achieve performance close to the *** simulation results indicate the latency of the execution of our method on the CPU is under 0.1 seconds while improving the average computation rate by about 10%.

关键词： DNN user satisfaction 5G multi-scenario edge computation offloading

Social Radars: Finding Targets in Cyberspace for Cybersecurity

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 279-282页

作者： Lili Fan Changxian Zeng yutong wang Jiaqi Ma Fei-Yue wang School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China School of Science Dalian Minzu UniversityDalian 116600China State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Department of Civil and Environmental Engineering University of CaliforniaLos AngelesCA 90024 USA IEEE State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China

INSPIRED by the insight from American political scientist Lasswell, who summarized the environmental role in societal surveillance [1], Schramm coined the term “social radar” [2] as it resembles the activities of radar in collecting and processing information, playing a crucial role in helping humans perceive changes in the internal and external environment and promptly adjusting adaptive behaviors.

关键词： prompt summarized insight

Sustainable Mining in the Era of Artificial Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 1-4页

作者： Long Chen Yuting Xie yutong wang Shirong Ge Fei-Yue wang IEEE the State Key Laboratory for Management and Control of Complex Systems at the Institute of Automation Chinese Academy of SciencesBeijing 100190China the National Laboratory of Pattern Recognition at the Institute of Automation and Waytous Ltd.China the School of Computer Science and Engineering Sun Yat-Sen UniversityGuangzhou 510275GuangdongChina the School of Mechanical Electronic and Information Engineering China University of Mining and Technology BeijingBejing 100083China the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190China

The mining sector historically drove the global economy but at the expense of severe environmental and health repercussions,posing sustainability challenges[1]-[3].Recent advancements on artificial intelligence(AI)are revolutionizing mining through robotic and data-driven innovations[4]-[7].While AI offers mining industry advantages,it is crucial to acknowledge the potential risks associated with its widespread ***-reliance on AI may lead to a loss of human control over mining operations in the future,resulting in unpredictable consequences.

关键词： Sustainable mining consequences

Effects of Al and Co doping on the structural stability and high temperature cycling performance of LiNi_(0.5)Mn_(1.5)O_(4) spinel cathode materials

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Chinese Journal of Chemical Engineering 2023年第9期61卷 201-209页

作者： Jianfeng Cheng Meixuan Li yutong wang Jiexiang Li Jiawei Wen Chunxia wang Guoyong Huang College of New Energy and Materials China University of Petroleum(Beijing)Beijing 102249China State Key Laboratory of Heavy Oil Processing College of Chemical EngineeringChina University of Petroleum(Beijing)Beijing 102249China

The poor structural stability and capacity retention of the high-voltage spinel-type LiNi_(0.5)Mn_(1.5)O_(4)(LNMO)limits their further ***,Al and Co were doped in LNMO materials for a more stable structure and *** LNMO,LiNi_(0.45)Al_(0.05)Mn_(1.5)O_(4)(LNAMO)and LiNi_(0.45)Co_(0.05)Mn_(1.5)O_(4)(LNCMO)were synthesized by calcination at 900℃ for 8 h,which was called as solid-phase method and applied universally in ***,FT-IR and CV test results showed the synthesized samples have cation disordering Fd-3m space group ***,the incorporation of Al and Co increased the cation disordering of LNMO,thereby increasing the transfer rate of Li+.The SEM results showed that the doped samples performed more regular and *** EDS elemental analysis confirmed the uniform distribution of each metal element in the ***,the doped samples showed better electrochemical properties than undoped *** LNAMO and LNCMO samples were discharged with specific capacities of 116.3 mA·h·g^(-1)and 122.8 mA·h·g^(-1)at 1 C charge/discharge rate with good capacity retention of 95.8% and 94.8% after 200 cycles at room temperature,*** capacity fading phenomenon of the doped samples at 50℃ and 1 C rate was significantly ***,cations doping also enhanced the rate performance,especially for the LNCMO,the discharge specific capacity of 117.9 mA·h·g^(-1)can be obtained at a rate of 5 C.

关键词： High voltage spinel Al/Co doping High temperature cycling stability

Effect of graphitic carbon nitride powders on adsorption removal of antibiotic resistance genes from water

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Chinese Chemical Letters 2020年第10期31卷 2843-2848页

作者： Haiyin Zhan yutong wang Xueyue Mi Zhiruo Zhou Pengfei wang Qixing Zhou College of Environmental Science and Engineering Nankai UniversityTianjin 300071China School of Energy and Environmental Engineering Hebei University of TechnologyTianjin 300401China

There is a growing need to eliminate antibiotic resistance genes(ARGs)in the environment and mitigate widespread antibiotic *** carbon nitride(g-C_(3)N_(4))was successfully synthesized via facile thermal polymerization approach and its pote ntial for adsorption treatment of ARGs in water was *** adsorption experimental results revealed that g-C_(3)N_(4) powders had robust adsorption activity for the gene ampC and *** kinetics and isotherms were syste matically investigated to explain the adsorption *** apparent adsorption equilibrium could be reached within180 *** adsorption process effectively re moved ARGs(ampC and ermB)from water with 3.2 log and4.2 log reductions,*** addition,experimental data were analyzed by several models and simulated well with Langmuir isotherm and pseudo-second-order *** indicated that adsorption process might be dominated by the chemical rate-limiting ***,the effects of temperature and pH on the re moval of ARGs were conducted and the isoelectric point(IEP)was ***,we have demonstrated that the g-C_(3)N_(4) is a novel adsorbent and can be used as column packing to remove ARGs by filtration.

关键词： Antibiotic resistance genes Adsorption Removal Drinking water g-C_(3)N_(4)

The ChatGPT After: Building Knowledge Factories for Knowledge Workers with Knowledge Automation

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IEEE/CAA Journal of Automatica Sinica 2023年第11期10卷 2041-2044页

作者： yutong wang Xiao wang Xingxia wang Jing Yang Oliver Kwan Lingxi Li Fei-Yue wang State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China School of Artificial Intelligence Anhui UniversityHefei 230039China Motion G Inc068898Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndiana 46202-5132 USA IEEE

Briefing: This perspective introduces the concept and framework of knowledge factories with knowledge machines for knowledge workers to achieve knowledge automation for Industry 5.0 and intelligent *** The big hit of Chat GPT makes it imperative to contemplate the practical applications of big or foundation models [1]-[5]. However, as compared to conventional models, there is now an increasingly urgent need for foundation intelligence of foundation models for real-world industrial applications.

关键词： Automation template Chat GPT

A 3D Ba-MOF for selective adsorption of CO_(2)/CH_(4)and CO_(2)/N_(2)

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Chinese Chemical Letters 2021年第3期32卷 1169-1172页

作者： Xiaokang wang yutong wang Kebin Lu Weifeng Jiang Fangna Dai College of Science School of Materials Science and EngineeringChina University of Petroleum(East China)Qingdao 266580China

An unexpected in-situ hydrolysis reaction occurred during the solvothermal reaction of N,N’-bis(4-carboxy-2-methylphenyl)pyromellitic di-imide)and Ba(NO3)2,and a novel porous Ba-MOF,[H_(2)N(CH_(3))_(2)]_(0.5)[Ba_(1.5)(L)(DMA)]·1.5 DMA·1.5 H_(2)O(UPC-70,H_(3)L=2-(4-ca rboxy-2-methylphenyl)-1,3-dioxoisoindoline-5,6-dicarboxylic acid,DMA=N,N-dimethylacetamide),was obtained on the basis of the partial *** as-synthesized 3 D network with 1 D open channels of different sizes(24 A and 10 A)contains abundant open metal sites after removal of solvents,which is conducive to the preferential adsorption of CO_(2).The subsequent gas sorption measurement reveals the high separation selectivity of UPC-70 for CO_(2)/CH_(4)(15)and CO_(2)/N_(2)(32)at ambient conditions,and GCMC theoretical simulation provides good verification of the experimental results,indicating that UPC-70 is a potential candidate for CO_(2)capture from flue gas and natural gas.

关键词： Metal-orgamc Tramework In-situ hydrolysis Selective adsorption CO_(2)capture CCMC simulation