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Tri-partition Method for Channel State Detection in the Power Line Communication Systems 6

Tri-partition Method for Channel State Detection in the Powe...

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6th international conference on Information science, electrical, and automation engineering, ISEAE 2024

作者： Wang, Zhen Liu, Chuan Peng, Wei Liu, Shidong School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan430074 China State Grid Smart Grid Research Institute Co. Ltd. Beijing102209 China

ISBN: (纸本)9781510682924

In power line communication system, ensuring support for multi-user concurrent communication entails the precise channel state detection to determine whether the channel is available. However, power line communication system is greatly affected by the impulse noise, which is a challenge not fully addressed by existing channel state detection schemes. To improve the accuracy of discerning the state of power line channels, unlike the traditional channel detection scheme that divides the channel state into two states: with signal or without signal, this paper categorizes channel states into three classifications: Signal, Impulse noise, and Gaussian noise. this classification is achieved through the application of deep learning. Our method leverages both time domain and frequency domain information of the signal to refine accuracy. Simulation results demonstrate a notable improvement in the accuracy of our proposed channel state detection method compared to conventional methods. Moreover, the proposed method can adapt to different signal modulation types, demonstrating strong robustness. © 2024 SPIE.

关键词： Interference (communication) Signal to noise ratio Signal detection Telecommunications Power grids Modulation Photonic integrated circuits Deep learning Reliability Sensing systems

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Research on Multi-Source Combined Supply System 6

Research on Multi-Source Combined Supply System

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6th IEEE international conference on Civil Aviation Safety and Information Technology, ICCASIT 2024

作者： Huang, Yanan Zheng, Haojie Wang, Yulin Liaoning University of Engineering and Technology School of Electrical and Control Engineering Huludao China Changsha University of Science and Technology School of Electrical and Information Engineering Changsha China

ISBN: (纸本)9798350389418

In order to reduce the cost of the power generation system, reduce the rate of system wind and light abandonment, and build a cleaner, safer and more efficient power system, this paper establishes a PV-wind-battery optimal scheduling model with the objective of minimizing the system operating cost, and the system power balance, and the battery SOC range as constraints. the multi-source joint power supply system containing wind power, photovoltaic, energy storage system, and main grid is analyzed in the arithmetic example, and the daily power supply system cost is at least 0.173 million yuan when there is energy storage system participation, and the daily power supply cost is at least 0. 1 7 9 million yuan when there is no energy storage system participation, and the penalty cost of both of them for wind and light abandonment is 0.098 million yuan and 0.115 million yuan. It is proved that the system containing energy storage can effectively reduce the system power supply cost and reduce the rate of wind and light abandonment. © 2024 IEEE.

关键词： multivariate combined power supply system Photovoltaic-wind-battery optimal scheduling model wind and light discard rate

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MT-YOLO: Underwater Fish Detection Model Based on YOLOv8s 6

MT-YOLO: Underwater Fish Detection Model Based on YOLOv8s

引用

6th international conference on Frontier Technologies of Information and Computer, ICFTIC 2024

作者： Wang, Shen Li, Zhenxing Yang, Chengdong Zhuang, Jiaojiao School of Automation and Electrical Engineering Linyi University Linyi China School of Information Science and Engineering Linyi University Linyi China School of Mechanical and Vehicle Engineering Linyi University Linyi China

ISBN: (纸本)9798331541750

Underwater fish detection is important for underwater ecological conservation and underwater species monitoring. In this study, an underwater fish recognition method, MT-YOLO, is proposed based on the YOLOv8s model and trained and tested on a self-constructed underwater fish dataset containing 12,000 fish targets. Firstly, in order to enhance the feature fusion capability of the original network, an underwater multi-scale target fusion module (MF-Module) is designed in this study, which improves the model's ability to process underwater multi-scale targets by receiving input and output features from different scales;second, a multi-tasking module (TP-Module) is designed in this study, which improves the multi-tasking capability of the original network by using multiple detection header to improve the multitasking performance of the original network, and the module also introduces shared convolution to reduce the number of parameters of the model. Experiments show that MT-YOLO increases the accuracy by 4.8% and reduces the model size by 15.6%. Meanwhile, this study ablates MT-YOLO with underwater detection algorithms such as SDD the experimental results show that MT-YOLO has stronger performance in detecting fish in complex scenes. © 2024 IEEE.

关键词： Fish detectors

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Productive Assets Management System As a Way to Increase the Efficiency of the Energy Facilities control 6

Productive Assets Management System As a Way to Increase the...

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6th international Youth conference on Radio Electronics, electrical and Power engineering, REEPE 2024

作者： Reutin, Gleb Zatsarinnaya, Yuliya Valeeva, Guzel Fedotov, Eugenii Suslov, Konstantin Gainullin, Rustem Department of Systems and Networks Kazan Russia Kazan State Power Engineering University Kazan Russia Department of Power Stations Named after V.K. Shibanov Russia National Research University 'MPEI' Department of Hydropower and Renewable Energy Moscow Russia Kazan National Research Technological University Department of Automated Systems of Industrial Enterprises Kazan Russia

ISBN: (纸本)9798350382891

the study is of great importance as it covers the issues of concern in the sphere of safety and reliability of the plant. It is focused on possible accidents prevention and increase of equipment efficiency. Non-compliance with operating conditions and scheduled maintenance of equipment may lead to serious consequences including power outages, shutdowns of production facilities, as well as fires and other emergencies. the paper provides a comprehensive study of the maintenance and equipment repair management at a power plant, the application of a method for assessing the criticality of impacts on equipment through the calculation of indicators of the technical condition index, the probability of equipment failure, the risks of equipment failure and damage due to failure. A calculation model was compiled, the values of changes in the magnitude of risks and the total cost of equipment ownership were calculated. © 2024 IEEE.

关键词： Plant shutdowns

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Slam Based Robot Find Target EV to Plugin in Complex Environment 6

Slam Based Robot Find Target EV to Plugin in Complex Environ...

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6th international conference on Robotics and automation in Industry, ICRAI 2024

作者： Khan, Samiullah Khan, Waleed Niaz, Ashfaq Yinke, Dou Ul Abidin, Shayan Niaz, Ibrar College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan China Institute of Management Sciences Dep. Data Science Peshawar Pakistan MIT Charsadda Pakistan

ISBN: (纸本)9798350355703

Electric vehicle (EV) charging in complex environments presents significant challenges, precise and adaptable interaction between robotic systems and vehicle charging plugs. this paper introduces a novel approach utilizing Simultaneous Localization and Mapping (SLAM) integrated with a robotic arm to facilitate autonomous charging. Methodology used SLAM techniques to enable the robot to accurately perceive and navigate dynamic and cluttered environments. the robotic arm, equipped with sensors and actuators, is guided by this precise environmental mapping to engage charging ports on a diverse range of vehicle models without human intervention. Implementation of the robotic system, including the integration of a vision-based kick algorithm that ensures robustness and adaptability in real-time obstacle detection and navigation. 3D simulations scenarios and robot to vehicle(R2V), robot 2 robot(R2R),robot to everything(R2X) communication demonstrating significant improvements in operational efficiency and adaptability compared to traditional charging solutions. Robot, IOT and EV charging applications increase autonomy and efficiency in electric vehicle infrastructure, high level of safety, economically benefits and monitoring techniques. © 2024 IEEE.

关键词： SLAM robotics

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Extremum Seeking for Single-Variable Static Map with Measurement Noise via A Time-Delay Approach 13

Extremum Seeking for Single-Variable Static Map with Measure...

引用

13th IEEE international conference on CYBER Technology in automation, control, and Intelligent Systems, CYBER 2023

作者： Zhao, Bowen Yang, Xuefei Fridman, Emilia Zhou, Bin Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China School of Electrical Engineering Tel-Aviv University Israel

ISBN: (纸本)9798350315196

In this article, we introduce a time-delay approach to extremum seeking (ES) for scalar static quadratic maps with measurement noise. the approach involves transforming the ES system into a time-delay neutral type system with stochastic perturbations, which guarantees the stability of the original ES system. Using a Lyapunov-Krasovskii (L-K) method, explicit conditions are established for the mean-square ultimate boundedness of the ES control systems. these conditions are expressed in terms of LMIs and depend on the intensity of measurement noise, tuning parameters, and a known arbitrarily large constant L that bounds the 6th moment of the estimation error. Compared to existing results for ES with measurement noise obtained via qualitative analysis, our approach provides a quantitative analysis via a time-delay approach to averaging. A numerical example is provided to illustrate the efficiency of the proposed method. © 2023 IEEE.

关键词： Time delay

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Optimizing Skin Lesion Segmentation with UNet and Attention-Guidance Utilizing Test Time Augmentation 6

Optimizing Skin Lesion Segmentation with UNet and Attention-...

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6th international conference on electrical engineering and Information and Communication Technology, ICEEICT 2024

作者： Ahamed, Md. Faysal Hossain, Md. Munawar Mary, Mekhala Mariam Islam, Md. Rabiul Rajshahi University of Engineering & Technology Department of Electrical & Computer Engineering Rajshahi6204 Bangladesh International Standard University Department of Computer Science and Engineering Dhaka1212 Bangladesh

ISBN: (纸本)9798350385779

To properly diagnose and screen for skin disorders, precise segmentation of the affected area is required. Segmenting skin lesions is difficult because of factors such as the form of the lesion, its proximity to surrounding skin, and the presence of hair. To effectively tackle this matter, we present a pioneering technique that utilizes deep learning to achieve comprehensive automation in skin lesion segmentation. this approach incorporates advanced preprocessing methodologies to enhance the overall performance. the architecture Attention-UNet is employed for the purpose of selectively segmenting images of skin lesions. the high detection rate of this design allows for precise melanoma segmentation in real-time. Finally, in the post-processing phase, we applied test-time augmentation (TTA) to further enhance segmentation precision. Both the ISIC 2017 and ISIC 2018 skin lesion datasets were used for training and testing the suggested technique. the model's mDSC, mIoU, recall, and precision were all 91.93%, 88.15%, 92.72%, and 91.15%, respectively, when trained independently on the ISIC 2017 datasets. Separate training on the ISIC 2018 datasets achieved similar results: 92.17% mDSC, 90.26% mIoU, 92.34% recall, and 92.01% precision. After being trained on a dataset consisting ISIC data from both 2017 and 2018, the proposed method achieved mDSC scores of 92.30% percent, mIoU scores of 90.06% percent, recall rates of 93.91% percent, and precision rates of 90.74% percent. Our model demonstrates superior FPS scores compared to other models, indicating effective real-time performance. Due to its scalability and reliability, the suggested methodological framework may be utilized to create a completely automated computer-aided skin lesion diagnostic system. © 2024 IEEE.

关键词： Deep learning

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Droplet Probe for Characterization of Advancing and Receding Contact Angles of Single Fibers 6

Droplet Probe for Characterization of Advancing and Receding...

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6th international conference on Manipulation, automation, and Robotics at Small Scales, MARSS 2023

作者： Vieira, Arthur Vuckovac, Maja Schlapp-Hackl, Inge Hummel, Michael Zhou, Quan School of Electrical Engineering Aalto University Department of Electrical Engineering and Automation Espoo02150 Finland School of Science Aalto University Department of Applied Physics Espoo02150 Finland School of Chemical Engineering Aalto University Department of Bioproducts and Biosystems AaltoFI-00076 Finland

ISBN: (纸本)9798350330397

Characterizing the wetting properties of fibers is crucial for many research and industry applications, including textiles for water-oil separation and composite materials. those fibers are often soft, typically tens of micrometers in diameter but millimeters in length, making manipulation and characterization difficult. Contact angles of single fibers are usually determined by droplet shape analysis or force-based Wilhelmy method. However, these methods are unable to accurately measure contact angles above 60{circ} or ensure reliable control of the liquid-fiber interaction process, especially for soft fibers prone to bending. Consequently, reliable characterization of the advancing and receding contact angles of single fibers remains a challenge. Here we report a novel method for characterizing the advancing and receding contact angles of both soft and rigid single fibers using a millimeter-sized droplet probe affixed to a disk and a numerical model of the system. By analyzing side-view images, we extract key geometrical parameters of the disk-droplet-fiber system, which, when used in detailed simulations, allows estimating the contact angle of fibers ranging from 20circ to 140circ. We applied this method to characterize three distinct micro-fibers: a highly hydrophilic rigid borosilicate glass fiber, a mildly hydrophilic soft PET fiber, and a rigid hydrophobic tungsten wire coated with a commercial super-repellent coating. © 2023 IEEE.

关键词： Geometry

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Research on collaborative control strategy for photohydrogen storage DC microgrid 6

Research on collaborative control strategy for photohydrogen...

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6th international conference on Energy Systems and electrical Power, ICESEP 2024

作者： Ye, Peng Xun, Siwen Wu, Jinming Ge, Yangyang Zhang, Xiaotong Hu, Shubo Electric Power Institute Shenyang Institute of Engineering Liaoning Shenyang110136 China State Grid Liaoning Electric Power Co. Ltd. Electric Power Science Research Institute Liaoning Shenyang110000 China

ISBN: (纸本)9798350353563

Hydrogen energy is regarded as one of the future development directions of the energy industry due to its advantages of cleanness, high energy density, and long-term storage in large quantities. In this paper, based on the photovoltaic hydrogen storage DC micro grid, the operation characteristics of each unit are analyzed, and the mathematical model of the photovoltaic array, battery, and hydrogen storage tank is constructed. A collaborative control strategy with bus voltage as the transmission signal and considering the operation characteristics of each unit is proposed, and a control strategy considering SoC is proposed for energy storage batteries to ensure the safe operation of energy storage batteries. For photovoltaic power generation, a power-voltage droop control strategy is proposed, which can make the photovoltaic power generation smoothly transition from the maximum power point mode to the reference power point mode. For the hydrogen production unit, a control strategy for the adaptive transition between the maximum efficiency point and the maximum power point operation mode is proposed. through numerical examples, the above control strategies can effectively realize the stable operation of the micro grid system and the effective consumption of photovoltaics. © 2024 IEEE.

关键词： collaborative control DC microgrid electrolysis hydrogen production Optimal consumption

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Overview of Task Offloading of Wireless Sensor Network in Edge computing Environment 6

Overview of Task Offloading of Wireless Sensor Network in Ed...

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6th IEEE international conference on Electronic Information and Communication Technology, ICEICT 2023

作者： Hou, XiQiang Hu, YiFan Wang, Fuqiang School of Information and Control Engineering Qingdao University of Technology Qingdao China Shandong Computer Science Center Shandong Provincial Key Laboratory of Computer Networks Jinan China

ISBN: (纸本)9798350399059

this review article introduces the concepts, server architecture and application scenarios of Mobile Edge computing (MEC) and Wireless Sensor Network (WSN). By differentiating between rechargeable and non-rechargeable systems, it presents the research status of task offloading in WSN in an edge computing environment. Various strategies are analyzed and compared in terms of their characteristics and application domains. the existing methods can reduce offloading latency and energy consumption, but still face some issues. Based on this, the research hotspots of edge computing task offloading for WSN are summarized, and its research and development trends are pointed out. © 2023 IEEE.

关键词： Energy harvesting

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