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2024 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2024

作者： Yutthagowith, Peerawut Nimsanong, Phethai Baba, Yoshihiro King Mongkut's Institute of Technology Ladkrabang School of Engineering Bangkok Thailand Power System Analysis Section Metropolitan Electricity Authority Department of Power System Control Bangkok Thailand Doshisha University Graduate School of Science and Engineering Kyoto Japan

ISBN: (纸本)9798350352290

Assessing insulation performance is vital for sustainable energy systems, which aim to minimize visual impact while ensuring reliability and resilience against weather-related disruptions. With increasing reliance on renewable energy sources, the importance of insulation performance becomes even more pronounced. Regular evaluations of insulation performance are critical for maintaining the safety, reliability, and resilience of electricity networks. By promptly identifying risks such as insulation degradation, utilities can improve maintenance practices, prioritize repairs, and enhance the integration of renewables, thereby boosting overall infrastructure performance. This paper introduces a straightforward and precise technique for determining the equivalent circuit parameters of insulation systems in high-voltage equipment. The proposed method facilitates the accurate determination of the dielectric loss factor from the equivalent circuit. To validate this approach, test cases were utilized to demonstrate its effectiveness. The results obtained through this method were then compared with those obtained using commercial software. The comparison reveals that the proposed approach results in a lower number of depolarization current branches compared to the commercial software. Also, it provides almost the same relative root mean square error and the lower root mean square relative error of the depolarization current. These findings underscore the appeal and effectiveness of the proposed method for determining the equivalent circuit of the dielectric model. © 2024 IEEE.

关键词： Depolarization

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Study the Pollutant Emissions Impact of Solid Biomass Combustion on Environment: Argan Nut Shell Biomass (ANS) Case

Study the Pollutant Emissions Impact of Solid Biomass Combus...

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International Symposium on Automatic control and Emerging Technologies, ACET 2023

作者： Idrissi, Ayoub Najah El Benbrahim, Mohammed Abouallal, Hafida Rassai, Nadia Advanced Systems -Engineering Laboratory-National School of Applied Science Ibn Tofail University University Campus Po Box 242 Kenitra Morocco Laboratory of Advanced Material Engineering Process Department of Chemistry Faculty of Sciences Ibn Tofail University Kenitra14000 Morocco

ISBN: (纸本)9789819701254

This research aims to valorize the use of Moroccan waste by using argan nut shell in combustion through small-scale furnace in order to produce energy. To that end, the chemico-thermal characteristics of the biomass were determined from previous studies, the released pollutant emissions from combustion were investigated and the results were demonstrated using CFD modeling. The soot, CO and NOx gas e0missions were simulated and discussed. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Biomass

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The Effects of Biological Constraints on the Performance of Spiking Neural Networks

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, Information and systems 2023年第7期143卷 634-640页

作者： Li, Bin Iguchi, Ryuki Noyama, Hiroki Zheng, Tianyi Kotani, Kiyoshi Jimbo, Yasuhiko Department of Precision Engineering Graduate School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Research Center for Advanced Science and Technology The University of Tokyo 4-1-6 Komaba Meguro-ku Tokyo153-8904 Japan

Brain-inspired intelligence technology is always cutting-edge research in Artificial Intelligence (AI). These years, mimicking the properties of nerve impulses in the brain, a new type of deep learning network structure has been introduced-Spiking Neural Networks (SNNs). However, the properties of SNNs are still poorly understood, especially their potential biological plausibility. Here, we investigated Spiking Recurrent Neural Networks (SRNNs) obtained by parameters transformation. We investigated their performance and characteristics when achieving working memory tasks under biological constraints from the real brain. Finally, it was proved that the constraints introduced by us are biologically reasonable and can help to create SNNs with keeping both working memory capacity and biological plausibility. © 2023 The Institute of Electrical Engineers of Japan.

关键词： Recurrent neural networks

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Lunar Water Analysis Module with Direct Measurement 74

Lunar Water Analysis Module with Direct Measurement

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74th International Astronautical Congress, IAC 2023

作者： Shinohara, Mayuko Nagase, Mutsumu Hotta, Hideaki Tanigawa, Naoki Suzuki, Naoshi Kurosu, Satoru Murata, Akihiro Akutsu, Yukitsugu Kawai, Shizuka Hashizume, Ko Miyamoto, Hideaki Kayama, Masahiro Chiyoda Corporation Japan ispace Inc. Japan Yokogawa Electric Co. Ltd. Japan Department of Earth and Environmental Sciences Graduate School of Science and Engineering Ibaraki University Tokyo Japan Department of Systems Engineering Graduate School of Engineering The University of Tokyo Tokyo Japan Department of Wide Area Science Graduate School of Integrated Cultural Studies The University of Tokyo Tokyo Japan

For future lunar water resource utilization, water plant will be built on the moon to mine regolith and to purify and treat the water in it. In determining the specifications and location of this plant, information on the distribution and properties of lunar water resource is extremely important. This report explains the breadboard model tests related to prospecting and measurement techniques of commercial-base water resource survey system, which has the characteristics of being compact, high performance and highly robust. Copyright © 2023 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Exploration ISRU Lunar Water Measurement

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Development of a Deep Sea Remote Experiment System for Visualizing Methane Bubbles Behavior in Hydrate Environment

Development of a Deep Sea Remote Experiment System for Visua...

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2025 IEEE Underwater Technology, UT 2025

作者： Oda, Jumpei Kondo, Hayato Kobayashi, Shukichi Aoyama, Chiharu Graduate School of Marine Science and Technology Tokyo University of Marine Science and Technology Tokyo Japan Tokyo University of Marine Science and Technology Department of Maritime Systems Engineering Tokyo Japan Tokyo University of Marine Science and Technology Tokyo Japan

ISBN: (纸本)9798331534189

As part of the research and development of shallow methane hydrate recovery and production technologies for deep-sea environments, the potential use of membrane structures for capturing methane seeps while mining and for pollution prevention to reduce environmental impact of mining has been investigated. In our previous study, we developed a visualization system that replicates the methane hydrate environment on the seafloor in a laboratory setting. This system has been utilized to conduct numerous laboratory experiments, providing insights into the behavior of methane bubbles with a hydrate film on their surface. These bubbles differ from conventional methane bubbles in their interaction with various membrane materials. The pure water is utilized in these experiments to eliminate the impact of complex variables present in sea water, such as dissolved gases, ions, and particles. To validate the applicability of the obtained characteristics to the actual sea environment, comparison tests should be conducted in the deep sea, where methane hydrate exists. In this study, we have developed a deep sea remote experiment system that has capabilities to execute analogous tests in situ within a deep sea environment. The design of the system and some results obtained at depths of approximately 1000 meters are presented in this paper. © 2025 IEEE.

关键词： Deep sea mining

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A Multi-Player Potential Game Approach for Sensor Network Localization with Noisy Measurements 63

A Multi-Player Potential Game Approach for Sensor Network Lo...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Xu, Gehui Chen, Guanpu Fidan, Baris Hong, Yiguang Qi, Hongsheng Parisini, Thomas Johansson, Karl H. Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm100 44 Sweden University of Waterloo Department of Mechanical and Mechatronics Engineering WaterlooONN2L 3G1 Canada Tongji University Department of Control Science and Engineering shanghai201804 China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai201210 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Beijing China University of Chinese Academy of Sciences School of Mathematical Sciences Beijing China Aalborg University Department of Electronic Systems Denmark Imperial College London Department of Electrical and Electronic Engineering LondonSW7 2AZ United Kingdom University of Trieste Department of Engineering and Architecture Italy

ISBN: (纸本)9798350316339

Sensor network localization (SNL) is a challenging problem due to its inherent non-convexity and the effects of noise in inter-node ranging measurements and anchor node position. We formulate a non-convex SNL problem as a multiplayer non-convex potential game and investigate the existence and uniqueness of a Nash equilibrium (NE) in both the ideal setting without measurement noise and the practical setting with measurement noise. We first show that the NE exists and is unique in the noiseless case, and corresponds to the precise network localization. Then, we study the SNL for the case with errors affecting the anchor node position and the inter-node distance measurements. Specifically, we establish that in case these errors are sufficiently small, the NE exists and is unique. It is shown that the NE is an approximate solution to the SNL problem, and that the position errors can be quantified accordingly. Based on these findings, we apply the results to case studies involving only inter-node distance measurement errors and only anchor position information inaccuracies. © 2024 IEEE.

关键词： Nash equilibrium

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A master-slave generalized predictive synchronization control for preheating process of multi-cavity hot runner system

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Chinese Journal of Chemical engineering 2023年第10期62卷 270-280页

作者： Hongyi Qu Shengyong Mo Ke Yao Zhao-Xia Huang Zhihao Xu Furong Gao Institute of Intelligent Manufacturing Guangdong Academy of SciencesGuangdong Key Laboratory of Modern Control TechnologyGuangzhou 510070China Fok Ying Tung Graduate School The Hong Kong University of Science and TechnologyGuangzhou 511442China Department of Chemical and Biological Engineering The Hong Kong University of Science and TechnologyHong Kong 999077China National Engineering Research Center of Novel Equipment for Polymer Processing Department of Mechanical and Automotive EngineeringSouth China University of TechnologyGuangzhou 510641China

As a key component of injection molding,multi-cavity hot runner(MCHR)system faces the crucial problem of polymer melt filling imbalance among the *** thermal imbalance in the system has been considered as the leading ***,the solution may rest with the synchronization of those heating processes in MCHR *** paper proposes a’Master-Slave’generalized predictive synchronization control(MS-GPSC)method with’***’strategy for preheating stage of MCHR *** core of the proposed method is choosing the heating process with slowest dynamics as the’Master’to track the setpoint,while the other heating processes are treated as‘Slaves’tracking the output of’Master’.This proposed method is shown to have the good ability of temperature *** corresponding analysis is conducted on parameters tuning and stability,simulations and experiments show the strategy is effective.

关键词： Process control Thermodynamics process Model-predictive control Multi-cavity hot runner system Master-Slave synchronization Mr.Slowest

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Optimizing Polynomial-Time Solutions to a Network Weighted Vertex Cover Game

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 512-523页

作者： Jie Chen Kaiyi Luo Changbing Tang Zhao Zhang Xiang Li the Adaptive Networks and Control Laboratory Department of Electronic EngineeringFudan UniversityShanghai 200433China the College of Mathematics and Computer Science Zhejiang Normal UniversityJinhua 321004 Yuxi Middle School Taizhou 317399China IEEE the College of Physics and Electronics Information Engineering Zhejiang Normal UniversityJinhua 321004China the College of Mathematics and Computer Science Zhejiang Normal UniversityJinhua 321004China the Adaptive Networks and Control Laboratory Department of Electronic EngineeringFudan UniversityShanghai 200433 the Institute of Complex Networks and Intelligent Systems Shanghai Research Institute for Intelligent Autonomous SystemsTongji UniversityShanghai 201210China

Weighted vertex cover(WVC)is one of the most important combinatorial optimization *** this paper,we provide a new game optimization to achieve efficiency and time of solutions for the WVC problem of weighted *** first model the WVC problem as a general game on weighted *** the framework of a game,we newly define several cover states to describe the WVC ***,we reveal the relationship among these cover states of the weighted network and the strict Nash equilibriums(SNEs)of the ***,we propose a game-based asynchronous algorithm(GAA),which can theoretically guarantee that all cover states of vertices converging in an SNE with polynomial ***,we improve the GAA by adding 2-hop and 3-hop adjustment mechanisms,termed the improved game-based asynchronous algorithm(IGAA),in which we prove that it can obtain a better solution to the WVC problem than using a the ***,numerical simulations demonstrate that the proposed IGAA can obtain a better approximate solution in promising computation time compared with the existing representative algorithms.

关键词： Game-based asynchronous algorithm(GAA) game optimization polynomial time strict Nash equilibrium(SNE) weighted vertex cover(WVC)

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Securing the Future after Pager Bombs:Lifecycle Protection of Smart Devices via Blockchain Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2355-2358页

作者： Fei Lin Qinghua Ni Jing Yang Juanjuan Li Nan Zheng Levente Kovács Radu Prodan Mariagrazia Dotoli Qing-Long Han Fei-Yue Wang the Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China the State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China the School of Artificial Intelligence University of Chinese Academy of SciencesBei-jing 100049China IEEE Obuda University John von Neumann Faculty of InformaticsBecsi Str.96/bH-1034 BudapestHungary the Institute of Information Technology University of Klagenfurt9020 Klagenfurt am WortherseeAustria the Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly the School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190

THE Lebanese wireless device explosion incident has drawn widespread attention,involving devices such as pagers,walkie-talkies,and other common devices[1].This event has revealed and highlighted the security vulnerabilities in global supply chains from raw material manufacturing and distribution to the usage of devices and equipment,signaling the onset of a new wave of"supply chain warfare"[2].

关键词： Smart cycle chains

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Parallel Driving with Big Models and Foundation Intelligence in Cyber-hysical-ocial Spaces

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Research 2024年第2期2024卷 1-17页

作者： Xiao Wang Jun Huang Yonglin Tian Chen Sun Lie Yang Shanhe Lou Chen Lv Changyin Sun Fei-Yue Wang School of Artificial Intelligence Anhui UniversityHefeiChina Macao University of Science and Technology MacaoChina State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijingChina MVSLab Department of Mechanical and Mechatronics EngineeringUniversity of Waterloo200 University Ave WestWaterlooON N2L3G1Canada School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingaporeSingapore

Recent years have witnessed numerous technical breakthroughs in connected and autonomous vehicles (CAVs). On the one hand, these breakthroughs have significantly advanced the development of intelligent transportation systems (ITSs);on the other hand, these new traffic participants introduce more complex and uncertain elements to ITSs from the social space. Digital twins (DTs) provide real-time, data-driven, precise modeling for constructing the digital mapping of physical-world ITSs. Meanwhile, the metaverse integrates emerging technologies such as virtual reality/mixed reality, artificial intelligence, and DTs to model and explore how to realize improved sustainability, increased efficiency, and enhanced safety. More recently, as a leading effort toward general artificial intelligence, the concept of foundation model was proposed and has achieved significant success, showing great potential to lay the cornerstone for diverse artificial intelligence applications across different domains. In this article, we explore the big models embodied foundation intelligence for parallel driving in cyber-physical-social spaces, which integrate metaverse and DTs to construct a parallel training space for CAVs, and present a comprehensive elucidation of the crucial characteristics and operational mechanisms. Beyond providing the infrastructure and foundation intelligence of big models for parallel driving, this article also discusses future trends and potential research directions, and the ?S?goals of parallel driving.

关键词： breakthrough integrate corners

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