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4th International Conference on Electronic Information Engineering and Computer communication, EIECC 2024

作者： Chen, Yongli Zhang, Qian Qing, Wanyuan Dai, Hongguang Wang, Youyang Gu, Wenhua Beijing Smartchip Microelectronics Technology Co. Ltd. Communication Technology Division Beijing China Nanjing China

ISBN: (纸本)9798331534622

When photovoltaic arrays operate under partial shading conditions (PSC), the output power-voltage (P-V) curves may exhibit nonlinear and multi-extreme characteristics, reducing the power conversion efficiency. More robust intelligent optimization algorithms for maximum power point tracking (MPPT) are necessitated. However, existing MPPT algorithms suffer from slow convergence speeds, a tendency to get trapped in local extrema, and low tracking accuracy. This paper proposed an MPPT control method based on an improved grey wolf optimizer (IGWO). The algorithm introduces a piecewise adjustable attenuation factor to balance the search range in the early and late stages of the algorithm. Additionally, to address the multiple extrema issue under PSC, the algorithm incorporates the Lévy flight strategy to enhance global search capability. Moreover, a random perturbation strategy is introduced to strengthen local exploration and improve the tracking accuracy. Extensive experimental results under various PSCs demonstrate that the proposed IGWO-based MPPT algorithm achieves a minimum tracking time of 13 ms and a maximum tracking accuracy of 99.93%. Compared to various benchmarking algorithms, the proposed method offers shorter tracking time and higher accuracy. © 2024 IEEE.

关键词： Perturbation techniques

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Research on Optimization Strategies for Microgrid Operation Based on Master-Slave Game Theory 3

Research on Optimization Strategies for Microgrid Operation ...

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3rd International Conference on Artificial Intelligence and Computer Information technology, AICIT 2024

作者： Zhu, Enguo Chen, Kuixi Institute of Metrology China Electric Power Research Institute Beijing China Beijing Smartchip Microelectronics Technology Ltd Communication Technology Division Beijing China

ISBN: (纸本)9798350365443

In microgrid systems, the coordinated operation of photovoltaic, energy storage, and demand side response can effectively suppress load fluctuations and improve the economic efficiency of distribution network operation. In order to maximize the profits of microgrid operators and users, this paper establishes an optimization operation model for microgrid operators and users, conducts case simulations on the MATLAB platform, models and solves using the CPLEX solver, and uses genetic algorithm to optimize the pricing strategy for microgrid operation electricity sales and user electricity consumption optimization strategy. The results indicate that the proposed model can effectively optimize the operation strategy of microgrids, providing a reference for the optimization of demand side resource allocation in active distribution networks. © 2024 IEEE.

关键词： Genetic algorithms

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Development of an edge-cloud collaboration framework for fission battery management system

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International Journal of Advanced Nuclear Reactor Design and technology 2022年第4期4卷 177-186页

作者： Xu, Hong Duo, Yihua Tang, Tao Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen University Zhuhai China School of Microelectronics and Communication Engineering Chongqing University Chongqing China Energy Technology R&D Division Jinyuyun Energy Technology Co. Ltd Chongqing China

As a "plug-and-play" nuclear system, the technology of fission battery enables nuclear reactor systems to function as batteries. Undoubtedly, advanced intelligent technologies have to be adopted to realize the excellent attributes of fission batteries, i.e., economic, standardized, installed, unattended, and reliable, and its commercial applications. This article proposed the edge-cloud collaboration technology for fission batteries to satisfy its intelligent requirements. A detailed framework for a fission battery management system has been developed. To develop such a management system, four types of concrete transmission information for the edge-cloud collaboration (i.e. resource and data, AI technologies, application and services, safety and strategies) are identified. The edge and cloud designs are also discussed in detail, including their hardware and software. A functional framework of edge-cloud collaboration network platform for fission battery management system is developed preliminarily. The framework is based on a three-layer structure, i.e., perception layer, technical layer and application layer. Although no detailed algorithm or verification is introduced (since the edge-cloud collaboration framework has been widely used in some industry fields but not in nuclear engineering), as primarily work for the future detailed study of fission battery, it is necessary and extremely important. © 2022 Xi'an Jiaotong University

关键词： Fission battery Edge-cloud collaboration Cloud computing Edge computing Advanced nuclear technology

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Photovoltaic MPPT Algorithm Based on Improved Gray Wolf Optimizer for Partial Shading Conditions

Photovoltaic MPPT Algorithm Based on Improved Gray Wolf Opti...

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Electronic Information Engineering and Computer communication (EIECC), International Conference on

作者： Yongli Chen Qian Zhang Wanyuan Qing Hongguang Dai Youyang Wang Wenhua Gu Communication Technology Division Beijing Smartchip Microelectronics Technology Co. Ltd. Beijing China School of Microelectronics (School of Integrated Circuits) Nanjing University of Science and Technology Nanjing China

ISBN: (数字)9798331534622

ISBN: (纸本)9798331534639

关键词： Maximum power point trackers Photovoltaic systems Accuracy Simulation Perturbation methods Benchmark testing Attenuation Power conversion Optimization Convergence

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Research on Optimization Strategies for Microgrid Operation Based on Master-Slave Game Theory

Research on Optimization Strategies for Microgrid Operation ...

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International Conference on Artificial Intelligence and Computer Information technology (AICIT)

作者： Enguo Zhu Kuixi Chen Institute of Metrology China Electric Power Research Institute Beijing China Communication Technology Division Beijing Smartchip Microelectronics Technology Ltd Beijing China

ISBN: (数字)9798350365443

ISBN: (纸本)9798350365450

关键词： Photovoltaic systems Electricity Microgrids Pricing Mathematical models Main-secondary Game theory Optimization Load modeling Genetic algorithms

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Polarization-induced photocurrent switching effect in heterojunction photodiodes

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Nano Research 2023年第4期16卷 5503-5510页

作者： Dingbo Chen Yu-Chang Chen Guang Zeng Yu-Chun Li Xiao-Xi Li Dong Li Chao Shen Nan Chi Boon S.Ooi David Wei Zhang Hong-Liang Lu State Key Laboratory of ASIC and System Shanghai Institute of Intelligent Electronics&SystemsSchool of MicroelectronicsFudan UniversityShanghai 200433China Key Laboratory for Information Science of Electromagnetic Waves Department of Communication Science and EngineeringFudan UniversityShanghai 200433China Photonics Laboratory Division of ComputerElectricaland Mathematical Sciences and EngineeringKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia

The unipolar photocurrent in conventional photodiodes(PDs)based on photovoltaic effect limits the output modes and potential versatility of these devices in *** photodiodes with photocurrent switching are emerging as a promising solution for obtaining photoelectric devices with unique and attractive functions,such as optical logic ***,we design an all-solid-state chip-scale ultraviolet(UV)PD based on a hybrid GaN heterojunction with engineered bipolar polarized electric *** introducing the polarization-induced photocurrent switching effect,the photocurrent direction can be switched in response to the wavelength of incident light at 0 V *** particular,the photocurrent direction exhibits negative when the irradiation wavelength is less than 315 nm,but positive when the wavelength is longer than 315 *** device shows a responsivity of up to−6.7 mA/W at 300 nm and 5.3 mA/W at 340 nm,*** particular,three special logic gates in response to different dual UV light inputs are demonstrated via a single bipolar PD,which may be beneficial for future multifunctional UV photonic integrated devices and systems.

关键词： GaN heterostructure ultraviolet(UV)photodiodes bipolar photocurrent optical logic device

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Reliable Multihop Routing and Congestion Aware Chicken Swarm Optimization in Vehicular Ad-Hoc Network 3

Reliable Multihop Routing and Congestion Aware Chicken Swarm...

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3rd International Conference on Integrated Circuits and communication Systems, ICICACS 2025

作者： Anitha, Cuddapah Al-Tarazi, Dalia Vignesh, G.D. Vasuki, A. Vinotha Giri, Jayant Dinesh, M. School of Computing Mohan Babu University Erstwhile Sree Vidyanikethan Engineering College Department of Computer Science and Engineering Tirupati India Zarqa University Faculty of Engineering Department of Architecture Engineering Zarqa Jordan College of Engineering University of Business and Technology Jeddah Saudi Arabia St. Joseph's College of Engineering Department of Electronics and Communication Engineering Chennai India J.P. College of Engineering Department of Computer Science and Engineering Tenkasi India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Lovely Professional University Division of Research and Development Phagwara India Department of Vlsi Microelectronics Chennai India

ISBN: (纸本)9798331508456

Background: Vehicular Ad Hoc Networks (VANETs) play a crucial role in intelligent transportation by facilitating communication between vehicles and vehicles with infrastructure-based models. They encounter problems such as significant movement, overcrowding, and loss of data. This research presents a novel deep reinforcement learning-based resource allocation and congestion optimization (DRLRCO) framework aimed at improving communication efficiency and high reliability using an effective learning process. Method Used: The DRLRCO framework employs agent-based learning to ensure precise data transmission, AdMAC Protocol for dynamic packet delivery, and Congestion-Aware Chicken Swarm Optimization (CSO) to enhance network performance. Result: The DRLRCO framework surpasses reinforcement learning models for comprehensive testing. Significant enhancements involve improved accuracy, reduced data loss, minimized overhead, increased throughput, and shorter average delays for real-time communication. Conclusion: The DRLRCO framework successfully tackles congestion and data loss in vehicular communication. Future studies might involve Artificial Intelligence (AI) for traffic forecasting, experimentation among high-speed vehicles and investigating blockchain for enhanced security. © 2025 IEEE.

关键词： Deep reinforcement learning

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In vivo evaluation of selenium‑tellurium based nanoparticles as a novel treatment for bovine mastitis

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Journal of Animal Science and Biotechnology 2025年第2期16卷 668-684页

作者： Ludmila Kosaristanova Zuzana Bytesnikova Tatiana Fialova Jana Pekarkova Pavel Svec Frantisek Ondreas Vendula Jemelikova Andrea Ridoskova Peter Makovicky Ladislav Sivak Monika Dolejska Monika Zouharova Petr Slam Vojtech Adam Kristyna Smerkova Department of Chemistry and Biochemistry Faculty of AgriSciencesMendel University in BrnoZemedelska 1665/1Brno 61300Czech Republic Central European Institute of Technology Brno University of TechnologyPurkynova 656/123Brno 61200Czech Republic Department of Microelectronics Faculty of Electrical Engineering and CommunicationBrno University of TechnologyTechnicka 3058/10Brno 61600Czech Republic Contipro a.s. Dolni Dobrouc 401DolníDobrouc 56102Czech Republic Department of Histology and Embryology Faculty of MedicineUniversity of OstravaSyllabova 9Ostrava‑Vítkovice 70003Czech Republic Cancer Research Institute Biomedical Research Center of the Slovak Academy of SciencesDúbravskacesta 9Bratislava 84505Slovak Republic Central European Institute of Technology University of Veterinary Sciences BrnoPalackeho tr.1946/1Brno 61242Czech Republic Department of Biology and Wildlife Diseases Faculty of Veterinary Hygiene and EcologyUniversity of Veterinary Sciences BrnoPalackeho tr.1946/1Brno 61242Czech Republic Department of Microbiology Faculty of MedicineCharles UniversityAlej Svobody 76Pilsen 32300Czech Republic Division of Clinical Microbiology and Immunology Department of Laboratory MedicineThe University Hospital BrnoJihlavska 20Brno 62500Czech Republic Department of Infectious Diseases and Preventive Medicine Veterinary Research InstituteHudcova 296/70Brno 62100Czech Republic Laboratory of Animal Immunology and Biotechnology Department of Animal MorphologyPhysiology and GeneticsFaculty of AgriSciencesMendel University in BrnoZemedelska 1665/1Brno 61300Czech Republic.

Background Bovine mastitis is one of the main causes of reduced production in dairy *** infection of the mammary gland is mainly caused by the bacterium Staphylococcus aureus,whose resistant strains make the treatment of mastitis with conventional antibiotics very difficult and result in high ***,it is impor-tant to develop novel therapeutic agents to overcome the resistance of mastitis-causing *** this study,novel selenium-tellurium based nanoparticles(SeTeNPs)were synthesized and *** antibacterial activity and biocompatibility were evaluated both in vitro and in vivo using a bovine model.A total of 10 heifers were divided into experimental and control groups(5 animals each).After intramammary infection with methicillin resistant ***(MRSA)and the development of clinical signs of mastitis,a dose of SeTeNPs was administered to all quarters in the experimental *** Based on in vitro tests,the concentration of 149.70 mg/L and 263.95 mg/L of Se and Te,respectively,was used for application into the mammary *** days after SeTeNPs administration,MRSA counts in the experimental group showed a significant reduction(P<0.01)compared to the control *** inhibitory effect observed within the in vitro experiments was thus confirmed,resulting in the suppression of infection in ***,the superior biocompatibility of SeTeNPs in the organism was demonstrated,as the nanoparticles did not significantly alter the inflammatory response or histopathology at the site of application,i.e.,mammary gland,compared to the control group(P>0.05).Additionally,the metabolic profile of the blood plasma as well as the histology of the main organs remained unaffected,indicating that the nanoparticles had no adverse effects on the *** Our findings suggest that SeTeNPs can be used as a promising treatment for bovine mastitis in the pres-ence of resistant ***,the current study is limited by its sm

关键词： Antibacterial Biocompatibility Heifer Intramammary Mammary gland MRSA Nanomaterial Resistance SeTe

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Edge AI-Based Dynamic Treatment Strategy Generation Model for Consumer Healthcare technology

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IEEE Transactions on Consumer Electronics 2024年

作者： Byeon, Haewon Alsaadi, Mahmood Quraishi, Aadam Shabaz, Mohammad Ahanger, Tariq Ahamed Keshta, Ismail Saidova, Feruza Soni, Mukesh Karumuri, Srinivasa Rao Inje University Department of AI and Software Gimhae50834 Korea Republic of Al-Maarif University College Department of computer science Al Anbar31001 Iraq Intervention Treatment Institute M.D. Research HoustonTX United States Model Institute of Engineering and Technology J and K Jammu India CoBA Prince Sattam Bin Abdulaziz University Department of Management Information Systems Saudi Arabia AlMaarefa University College of Applied Sciences Computer Science and Information Systems Department Riyadh Saudi Arabia Tashkent State University of Economics Department of Foreign languages Tashkent Uzbekistan Lovely Professional University Division of Research and Development Phagwara India VLSI-Microelectronics Lab Department of Electronics and Communication Engineering Andhra Pradesh Vaddeswaram Guntur522302 India

Edge AI-based reinforcement learning is less reliant on mathematical models and relies on experience to help with the design and optimization of Consumer technology models, making it ideal for learning dynamic treatment techniques. However, the current research still has the following problems: 1. The optimality of the learned strategy is considered without taking risks into account, leading to strategies with certain risks. 2. The issue of distribution shift is ignored, resulting in learned strategies that are completely different from those of doctors. 3. The patient's historical observational data and treatments are ignored, making it difficult to accurately assess the patient's state, which in turn leads to the inability to learn the optimal strategy. Based on this, we propose the DOSAC-DTR dynamic treatment strategy model, which integrates Dead-ends and offline monitoring into the Actor-Critic framework. First, we consider the risk of treatment actions recommended by the learned strategy and incorporate the concept of Dead-ends into the Actor-Critic framework. Second, to mitigate the distribution shift problem, we integrate physician monitoring into the Actor-Critic framework. This approach achieves better performance, resulting in lower estimated mortality rates and higher Jaccard index scores. © 1975-2011 IEEE.

关键词： Reinforcement learning

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Reliable Multihop Routing and Congestion Aware Chicken Swarm Optimization in Vehicular Ad-Hoc Network

Reliable Multihop Routing and Congestion Aware Chicken Swarm...

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Integrated Circuits and communication Systems (ICICACS), IEEE International Conference on

作者： Cuddapah Anitha Dalia Al-Tarazi GD. Vignesh A. Vinotha Vasuki Jayant Giri M. Dinesh Department of Computer Science and Engineering School of Computing Mohan Babu University Erstwhile Sree Vidyanikethan Engineering College Tirupati India Department of Architecture Engineering Faculty of Engineering Zarqa university Zarqa Jordan College of Engineering University of Business and Technology Jeddah Saudi Arabia Department of Electronics and Communication Engineering St. Joseph's College of Engineering Chennai India Department of Computer Science and Engineering J.P. College of Engineering Tenkasi India Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur India Division of Research and Development Lovely Professional University Phagwara India Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

关键词： Vehicular ad hoc networks Routing Throughput Synchronization Resource management Dedicated short range communication Particle swarm optimization Artificial intelligence Vehicle dynamics Testing

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