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9th International Conference on Applying New technology in Green Buildings, ATiGB 2024

作者： Cao, Trung Thanh Van, Cuong Trinh Van, Hung Pham Nguyen, Minh Quang Hoang, Anh Hanoi University of Science and Technology School of Electrical and Electronic Engineering Hanoi Viet Nam Ha Noi University of Industry Department of Automation and Control Hanoi Viet Nam

ISBN: (纸本)9798331505042

DC-DC converters are essential components in power supply applications, portable electronics, renewable energy systems, and various other industries. An accurate system model is crucial for the development of the controller for a DC-DC converter. This research study focused on the development of an iterative learning control that operates without requiring the system model. The study employs PSCAD simulation software to simulate and analyze the effectiveness of an iterative learning control and a sliding mode controller for flyback converter. Detailed simulation results and comparisons between the two methodologies will be presented. © 2024 IEEE.

关键词： Sliding mode control

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Observation-Driven Multiple UAV Coordinated Standoff Target Tracking Based on Model Predictive Control

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Tsinghua Science and technology 2022年第6期27卷 948-963页

作者： Shun Sun Yu Liu Shaojun Guo Gang Li Xiaohu Yuan Department of Control Science and Technology Naval Aviation UniversityYantai 264001China Department of Electronic Engineering Tsinghua UniversityBeijing 100084China National Institute of Defense Technology Innovation Academy of Military Sciences PLABeijing 100091China Department of Automation Tsinghua UniversityBeijing 100084China

An observation-driven method for coordinated standoff target tracking based on Model Predictive Control(MPC)is proposed to improve observation of multiple Unmanned Aerial Vehicles(UAVs)while approaching or loitering over a *** acquiring a fusion estimate of the target state,each UAV locally measures the observation capability of the entire UAV system with the Fisher Information Matrix(FIM)determinant in the decentralized *** facilitate observation optimization,only the FIM determinant is adopted to derive the performance function and control constraints for coordinated standoff ***,a modified iterative scheme is introduced to improve the iterative efficiency,and a consistent circular direction control is established to maintain long-term observation performance when the UAV approaches its *** experiments with simulated and real trajectories validate that the proposed method can improve observation of the UAV system for target tracking and adaptively optimize UAV trajectories according to sensor performance and UAV-target geometry.

关键词： coordinated tracking standoff tracking observation-driven Model Predictive Control(MPC) multiple UAVs Fisher Information Matrix(FIM)

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Prototype for Current and Voltage Monitoring of Distribution Transformer Based on WiFi

Prototype for Current and Voltage Monitoring of Distribution...

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2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial automation, ICAMIMIA 2023

作者： Yudianto, Firman Herlambang, Teguh Adinugroho, Mukhtar Susanto, Fajar Annas Wulan, Tri Deviasari Farid, Imam Wahyudi Unusa Faculty of Business Economics and Digital Technology Department of Information System Indonesia Unusa Faculty of Business Economics and Digital Technology Department of Management Indonesia Its Vocational Faculty Department of Electrical Automation Engineering Indonesia

ISBN: (纸本)9798350309225

A transformer is a key component in the electrical power distribution system. To maintain the continuity and reliability of the power system, it is essential to ensure the reliability of the energy distribution system. Factors affecting the quality of electrical energy include current, voltage, and temperature. With an increase in load, the transformer's temperature and current can rise, and the increase in current can be influenced by excessive load, thus raising the transformer's temperature. The temperature rise can also be influenced by the environmental conditions inside the transformer room. Excessive temperature in the transformer room can lead to explosions. Therefore, this thesis research aims to design a prototype monitoring device based on WiFi for parameters such as current, voltage, and temperature, to provide real-time information about the transformer's condition. The results of this research show that the prototype monitoring device for the transformer provides values very close to manual calculations, with the largest error percentages being 2.18% for current measurement, 1.04% for voltage measurement, and 3.3% for temperature measurement. This prototype monitoring device also provides information to the user when the current value in the circuit reaches 2A, making it easier for the user to identify potential transformer faults before they lead to damage. The transformer's efficiency ranges from 99.54% to 99.82%. Maintenance is required for the transformer as it approaches high temperatures to ensure optimal transformer performance. © 2023 IEEE.

关键词： Temperature measurement

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Triggered Mechanism for Strict Feedback systems under Unknown Control Directions 14

Triggered Mechanism for Strict Feedback Systems under Unknow...

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14th Asian Control Conference, ASCC 2024

作者： Liu, Guilong Wu, Hongda Yang, Yongliang Xie, Wei Zhang, Weidong School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Department of Automation Shanghai200240 China

ISBN: (纸本)9789887581598

This paper presents an event-based asymptotic tracking control scheme designed for strict feedback systems with unknown control directions. The control directions directly determine how the controller acts on the system, thus impacting the system's stability and convergence speed. When the control directions are unknown, it presents a significant challenge in controller design. To tackle this issue, the Nussbaum-type gains are introduced. However, this method increases communication overhead. Hence, an event-triggered mechanism is introduced to alleviate this burden. Additionally, to achieve and maintain desired target states, satisfying control requirements and performance demands, this paper improves the event-triggered mechanism to achieve asymptotic tracking. Finally, the feasibility and effectiveness of the proposed design are validated through a simulation example. © 2024 Asian Control Association.

关键词： Feedback

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A Change Detection Approach Based on Multi-Temporal SAR Images for Railway Perimeter Intelligent Perception

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical systems 2024年 2卷 435-445页

作者： Dong, Hairong Wang, Tian Song, Haifeng Liu, Zhen Zhou, Donghua Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao266590 China Beijing Jiaotong University School of Automation and Intelligence Beijing100044 China Beihang University School of Electronic and Information Engineering Beijing100191 China Crsc Research & Design Institute Group Company Ltd. Beijing100070 China Tsinghua University Department of Automation Beijing100084 China

Accurately and promptly change detection (CD) of railway perimeter is significant to rail transportation cyber-physical systems (CPSs) safety and operating environment monitoring. Synthetic aperture radar (SAR) images have been demonstrated to offer advantageous information for change detection. However, it remains a challenge in SAR scene parsing due to the speckle noise limitations. Furthermore, fine-grained discriminant information needs to be introduced in high-similarity feature analysis. In this paper, an unsupervised multi-temporal contrastive enhancement dual-domain network (MCEDNet) is proposed. First, pre-classification is performed to generate pseudo-labels for training samples. Subsequently, the sample features are enhanced through the dual-domain network, in which the spatial feature attention module (SFAM) is used to improve the semantic representation of the central region, and frequency information is represented by multi-spectral attention. Finally, multi-temporal contrastive learning is developed to refine the final output. The experimental results on SAR datasets demonstrate the effectiveness and generalization of the proposed MCEDNet. © 2023 IEEE.

关键词： Change detection

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Design of a Quadrotor UAV Controller Based on Body Sensing Control 7

Design of a Quadrotor UAV Controller Based on Body Sensing C...

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7th International Symposium on Autonomous systems, ISAS 2024

作者： Zhang, Limin Hu, Bohao Wang, Shuai Huang, Yijie Zhou, Xinpeng Liu, Ruoyang Zhongyuan University of Technology School of Information and Communication Engineering Zhengzhou China Zhongyuan University of Technology School of Automation and Electrical Engineering Zhengzhou China Zhongyuan University of Technology School of Electronic Information Zhengzhou China Company Limited Engineering Department Taizhou China

ISBN: (纸本)9798350363173

Quadrotor UAV can carry low altitude weapons for attacks, but most of the current quadcopter UAVs are controlled by remote control, and the control signals are sent to the UAV flight control through AD conversion, which is difficult to operate and less stealthy. Aiming at this problem, this paper designs a quadcopter UAV control system based on somatosensory controller, which has the advantages of simple operation and easy function expansion. Taking the somatosensory terminal with STM32F103C8T6 as the core, with the help of North Wake TF mini laser ranging radar and optical flow sensor GL9306 for height control and optical flow pointing respectively, to realize the stable flight of the UAV. and the key functions of the somatosensory controller are configured as one-key takeoff and hovering function, somatosensory control function, one-key landing function, and reset function. After the experiment, the correctness and expandability of the controller design are verified. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Input Impedance Change of Meander Line Antenna in Human Body Conditions

Input Impedance Change of Meander Line Antenna in Human Body...

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2023 IEEE International Symposium on Antennas and Propagation, ISAP 2023

作者： Hlaing, Ngu War Kamardin, Kamilia Yamada, Yoshihide Arima, Takuji Takahashi, Masaharu Michishita, Naobumi Department of Electronic System Engineering Kuala Lumpur Malaysia Tokyo University of Agriculture and Technology Department of Electrical and Electronic Engineering Tokyo Japan Chiba University Malaysia Center of Frontier Medical Engineering Chiba Japan National Defense Academy Department of Electrical and Electronics Engineering Kanagawa Japan

ISBN: (纸本)9798350341140

This paper presents the simulation results and evaluates the performance of the meander line antenna (MLA) in human body conditions, comparing different permittivity and conductivity values, including muscle, and fat tissues. The electrical characteristics obtained by simulation, such as input resistance (Rin), and MLA self-resonant structure are discussed. The theoretical and simulation results are compared for the validation of the simulation environment. The absorption loss is calculated and compared with the simulation results. The input resistance increases when the antenna conductivity increases. © 2023 IEEE.

关键词： Conductivity human body Input resistance meander line antenna permittivity

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The Large Language Models on Biomedical Data Analysis: A Survey

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IEEE Journal of Biomedical and Health Informatics 2025年第6期29卷 4486-4497页

作者： Lan, Wei Tang, Zhentao Liu, Mingyang Chen, Qingfeng Peng, Wei Chen, Yiping Phoebe Pan, Yi Guangxi University School of Computer Electronic and Information Nanning530004 China Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming650500 China La Trobe University Department of Computer Science and Information Technology MelbourneVIC3086 Australia Chinese Academy of Sciences Shenzhen Institute of Advanced Technology Shenzhen518055 China

With the rapid development of Large Language Model (LLM) technology, it has become an indispensable force in biomedical data analysis research. However, biomedical researchers currently have limited knowledge about LLM. Therefore, there is an urgent need for a summary of LLM applications in biomedical data analysis. Herein, we propose this review by summarizing the latest research work on LLM in biomedicine. In this review, LLM techniques are first outlined. We then discuss biomedical datasets and frameworks for biomedical data analysis, followed by a detailed analysis of LLM applications in genomics, proteomics, transcriptomics, radiomics, single-cell analysis, medical texts and drug discovery. Finally, the challenges of LLM in biomedical data analysis are discussed. In summary, this review is intended for researchers interested in LLM technology and aims to help them understand and apply LLM in biomedical data analysis research. © 2013 IEEE.

关键词： Data consistency

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Efficient and stable hybrid perovskite-organic light-emitting diodes with external quantum efficiency exceeding 40 per cent

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Light(Science & Applications) 2024年第7期13卷 1364-1371页

作者： Lingmei Kong Yun Luo Qianqian Wu Xiangtian Xiao Yuanzhi Wang Guo Chen Jianhua Zhang Kai Wang Wallace CHChoy Yong-Biao Zhao Hongbo Li Takayuki Chiba Junji Kido Xuyong Yang Key Laboratory of Advanced Display and System Applications of Ministry of Education Shanghai UniversityShanghai 200072China. Institute of Nanoscience and Applications Department of Electrical and Electronic EngineeringSouthern University of Science and TechnologyShenzhen 518055China. Department of Electrical and Electronic Engineering The University of Hong KongHong KongChina. Department of Physics and Lakeside AR/VR Laboratory International Joint Research Center for Optoelectronic and Engineering ResearchYunnan UniversityKunming 650091China. Experimental Center of Advanced Materials School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China. Graduate School of Organic Materials Science Frontier Center for Organic MaterialsYamagata University4-3-16 JonanYonezawa 992–8510Japan

Light-emitting diodes(LEDs)based on perovskite semiconductor materials with tunable emission wavelength in visible light range as well as narrow linewidth are potential competitors among current light-emitting display technologies,but still suffer from severe instability driven by electric ***,we develop a stable,efficient and highcolor purity hybrid LED with a tandem structure by combining the perovskite LED and the commercial organic LED technologies to accelerate the practical application of *** LED and organic LED with close photoluminescence peak are selected to maximize photon emission without photon reabsorption and to achieve the narrowed emission *** designing an efficient interconnecting layer with p-type interface doping that provides good opto-electric coupling and reduces Joule heating,the resulting green emitting hybrid LED shows a narrow linewidth of around 30 nm,a peak luminance of over 176,000 cd m^(−2),a maximum external quantum efficiency of over 40%,and an operational half-lifetime of over 42,000 h.

关键词： diodes narrow quantum

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Label-Efficient Emotion and Sentiment Analysis 24

Label-Efficient Emotion and Sentiment Analysis

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32nd ACM International Conference on Multimedia, MM 2024

作者： Zhao, Sicheng Jia, Guoli Hong, Xiaopeng Zhao, Yanyan Tao, Jianhua BNRist Tsinghua University Beijing China Department of Electronic Engineering Tsinghua University Beijing China Faculty of Computing Harbin Institute of Technology Beijing China BNRist Department of Automation Tsinghua University Beijing China

ISBN: (纸本)9798400706868

Emotion and sentiment analysis (ESA) assists machines to serve humans more intelligently. However, collecting large-scale high-quality datasets for training ESA models in a supervised manner is expensive, time-consuming, and difficult in practice. This tutorial focuses on the label-efficient ESA (LeESA) learning methods. Specifically, we first introduce the stimuli and characteristics of emotion and then illustrate seven typical training paradigms, followed by applications and future directions of LeESA. © 2024 Owner/Author.

关键词： Contrastive Learning

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