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检索条件"任意字段=2023 3rd International Conference on Electrical Engineering and Computer Technology, ICEECT 2023"

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Research on tree barrier measurement method based on monocular image depth estimation 3

Research on tree barrier measurement method based on monocul...

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3rd international conference on Signal Image Processing and Communication, ICSIPC 2023

作者： Mu, Xiaofei Liu, Hongxi Fang, Jun School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin China School of Electrical and Information Engineering Changchun Institute of Engineering Changchun China

ISBN: (纸本)9781510670945

Tree barrier plays a vital role in transmission lines, and its existence directly affects the stable supply of electricity. Therefore, it is necessary to measure and inspect the tree barrier. For this purpose, this paper proposes a measurement method based on monocular image depth estimation. In this method, the LSD (Line Segment Detector) algorithm is used to detect the straight line, and the RANSAC (RANdom SAmple Consensus) algorithm is used to iteratively detect the vanishing point, and the vanishing point coordinates are successfully obtained. The camera calibration is carried out to determine the pixel coordinates of the object in the image and to obtain the internal and external parameters and rotation matrix of the camera. Through coordinate system transformation, the depth estimation of the target in the world coordinate system and the distance between any tree lines can be accurately calculated. Finally, the height of the camera is used as the reference height to complete the measurement of the tree barrier around the wire, and the experimental results show that the method has certain feasibility and the error is controlled within a reasonable range. © 2023 SPIE.

关键词： Electric lines

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Research on Reactive Power Impact and Optimization of Photovoltaic Power Distribution Network Based on the Concept of Power Flow Direction Change 3

Research on Reactive Power Impact and Optimization of Photov...

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3rd IEEE international conference on Power, Electronics and computer Applications, ICPECA 2023

作者： Yuan, Lintao Liu, Zhen Li, Daoyu Shandong University School of Electrical Engineering Jinan China

ISBN: (纸本)9781665472784

With the development of the national economy, the distribution network equipment has been continuously upgraded and the operation level has been continuously improved, and the distribution network has gradually developed in the direction of automation, forming an active distribution network with high penetration, high reliability and self-healing rate of distributed power sources. However, the large-scale access of distributed photovoltaics in the active distribution network often leads to problems such as voltage fluctuation, harmonic over-limit and power factor reduction in the distribution network, which has a great impact on the power supply quality of the distribution network. Among them, the reduction of the power factor of the distribution network will lead to an increase in line loss, a decrease in voltage, and a decrease in equipment utilization, which is extremely detrimental to the power quality of the public grid. Based on the actual situation and operation data of distributed photovoltaic in distribution network of XC District, a city in Shandong Province, this paper conducts a practical study on the impact, causes and improvement measures of low-voltage distributed photovoltaic reactive power in active distribution network. Firstly, according to the actual operation of distribution network, the concept of transformer power flow direction change point (stage) is proposed. Then, based on the concept of transformer power flow direction change point (stage), this paper studied the impact of public transformer distributed photovoltaic access on power factor using a large number of operating data, and deeply analyzed the reasons for the reduction of power factor of public transformer connected to distributed photovoltaic through vector method, and then proposed a transformer refined reactive power compensation scheme based on intelligent fusion terminal of distribution transformer. Finally, this paper proved the correctness and scientificity of the research

关键词： Electric power utilization

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Intelligent information processing of Fiber Bragg Grating biosensor for stress monitoring in microfluidics system 3

Intelligent information processing of Fiber Bragg Grating bi...

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3rd international Computing Imaging conference, CITA 2023

作者： Zhang, Zijun Lu, Zhenghao Wang, Jing Pan, Han Li, Peiyun Li, Xiaoyao Department of Electrical and Electronic Engineering University of Nottingham Ningbo China Ningbo China Departmen of Physics and Astronomy University College London London United Kingdom Key Laboratory of More Electric Aircraft Technology of Zhejiang Province University of Nottingham Ningbo China Ningbo China Departmen of Applied Computational Science and Engineering Imperial College London London United Kingdom

ISBN: (纸本)9781510671409

A Fiber Bragg Grating (FBG) biosensor with good biocompatibility promises label-free, anti-electromagnetic interference, and non-destructive detection of stress monitoring, it holds the potential to rapidly identify the stress changes in microfluidics systems. Based on signal processing, the correlation between wavelength shift in FBG and flowrate is discussed, an alternative to manual processing of wavelength offset calculation is analyzed, and the automatic selection of FBG wavelength change under high noise conditions is realized. In addition, we propose some technologies of intelligent processing algorithms such as machine learning (BP—back propagation neural network) and moving average. Finally, the feasibility and stability of the signal processing method are verified by experimental validation and multiple data sets testing. This study provides a promising intelligent information processing strategy for rapid and accurate stress sensing of microfluidics systems. © 2023 SPIE.

关键词： Fiber Bragg gratings

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A 3D Streamline Selection Algorithm Based on Comprehensive Similarity 3

A 3D Streamline Selection Algorithm Based on Comprehensive S...

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3rd international conference on Artificial Intelligence and computer engineering, ICAICE 2022

作者： Hu, Xiaomei Weng, Jiahong Chai, Jianfei Zhang, Mingnan Li, Yilin Shanghai Key Laboratory of Intelligent Manufacturing and Robotics School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China Information Technology Office School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China

ISBN: (纸本)9781510663473

In order to avoid the occlusion problems and missing important features of streamlines in the flow field, this paper proposes a 3D streamline selection algorithm based on comprehensive similarity. The method starts with a hierarchical clustering of streamline sets and then extracts streamlines with high similarity based on their comprehensive similarity. The comprehensive similarity of streamlines requires the calculation of the distance and contour similarity of the streamlines. In this paper, the Hausdorff distance is improved by proposing a partially matched Hausdorff distance to reduce the influence of streamline length on the similarity calculation. Then the contour similarity is calculated according to the ICP algorithm and the entropy weighting method is used to calculate the weights to obtain the combined similarity. The final comparison with the result of another algorithm shows that the flow field structure is clearer, more complete and more evenly distributed when the streamlines are selected using this algorithm. © 2023 SPIE.

关键词： Flow fields

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Traffic Police Command Gesture Recognition technology Based on Machine Vision and Two-Stream Spatio-Temporal Attention Graph Convolutional Network 3

Traffic Police Command Gesture Recognition Technology Based ...

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3rd international conference on computer Vision and Pattern Analysis, ICCPA 2023

作者： Li, Yuan College of Computer Science and Technology Xi’an University of Science and Technology Xi’an China

ISBN: (纸本)9781510667563

For the requirement of automatic recognition of traffic police gestures in complex backgrounds based on vision sensors for driverless cars, We propose a method for traffic police gesture action recognition based on two-stream spatio-temporal attention graph convolutional network (2s-AGCN) with two different dimensional skeletal data. Firstly, detect the commanding traffic policeman in the video, extract the 2D and 3D skeletal data with the pose estimation algorithm to reduce the influence of complex background and joint overlap on action recognition, then, build the spatio-temporal graph model;After that, we construct a 2s-AGCN network, input 2D and 3D skeletal sequences into the network to learn the spatio-temporal features of gesture actions. Finally, a fusion of the two-stream information is done and then output the final traffic police gesture category. 2s-AGCN uses Non-Local and TopK at the spatial level to focus on all nodes directly, selecting the strongest K neighbors of interaction strength;Temporal attention is used to focus on the frames that have higher contribution. The ablation study is done on the dataset CTPGD, and the results show that the method significantly improves the recognition accuracy of traffic police command gesture actions, especially those with overlapping skeleton points. © 2023 SPIE.

关键词： Law enforcement

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Optimizing Wireless Sensor Network Routing Through Memetic Algorithms: Enhancing Energy Efficiency and Data Reliability 3

Optimizing Wireless Sensor Network Routing Through Memetic A...

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3rd international conference on Evolutionary Computing and Mobile Sustainable Networks, ICECMSN 2023

作者： Aishwarya, D. Saranya, S. Sathiya, A. Manoharan, Samuel J. Dept. of Computer Science and Engineering School of Computing Sathyabama Institue of Science and Technology Chennai India Dept. of Computer Science and Engineering Dr. N.G.P Institute of Technology Coimbatore India Dept. of Electronics and Communication Engineering M. Kumarasamy College of Engineering Karur India Dept. of Electronics and Communication Engineering Sir Issac Newton College of Engineering and Technology Nagapattinam India

Memetic Algorithm Based Routing in Wireless Sensor Networks (WSNs) is an innovative approach for optimizing data transmission routes within a network of interconnected sensors. Traditional routing algorithms often fail to consider the dynamic and resource-constrained nature of WSNs, resulting in inefficient energy utilization and decreased network lifetime. By incorporating principles of natural selection, crossover, and mutation from genetic algorithms, along with local search methods, memetic algorithms offer a more adaptive solution. This research aims to implement a memetic algorithm to find the optimal routing paths while minimizing energy consumption and maximizing data delivery ratio. Preliminary results indicate a significant improvement in the network's overall performance metrics, including a longer lifespan and higher data reliability, compared to traditional routing methods. © 2023 Elsevier B.V.. All rights reserved.

关键词： Wireless sensor networks

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Improve Model-Contrastive Federated Learning by Momentum Contrast 3

Improve Model-Contrastive Federated Learning by Momentum Con...

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3rd international conference on Machine Learning and computer Application, ICMLCA 2022

作者： Chen, Xiaoyang Li, Bokang Li, Weiheng School of Computer Science and Technology Tiangong University Tianjin China College of Information Science and Engineering Henan University of Technology Zhengzhou China College of Computer Science Chongqing University Chongqing China

ISBN: (纸本)9781510664814

FedAvg is a classic algorithm for Federated Learning. The MOON algorithm is based on the idea of comparative learning. The model in the previous round is a negative sample, and the global model is a positive sample, which improves the local training of FedAvg. However, in the study of MOON, it was found that since the MOON algorithm compares models rather than pictures, the number of negative samples is difficult to expand, and in traditional comparative learning, the total number of negative samples will significantly affect the effect of comparative learning, when the model in this round is far from the model in the previous round, it may approach the earlier model, thus reducing the efficiency of contrastive learning. So, this paper studied more algorithms related to contrastive learning and federated learning. Finally, a dictionary was built based on the MoCo algorithm to save the previously generated local models. The improved MOON algorithm was named FedCOMO. With the extension of negative samples, the training accuracy on the CIFAR-10 dataset can exceed MOON. © 2023 SPIE.

关键词： Moon

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A Review of UWB Positioning technology Applications in Personnel Security Management 3

A Review of UWB Positioning Technology Applications in Perso...

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3rd international conference on Digital Signal and computer Communications, DSCC 2023

作者： Zhao, Rongyong Li, Haonan Zhu, Wenjie Wei, Bingyu Zheng, Chengyuan Lin, Quanwei School of Electronic and Information Engineering Tongji University Shanghai China Nanjing Woxu Wireless Co. Ltd. Nanjing China

ISBN: (数字)9781510666566

ISBN: (纸本)9781510666559

With the rise of Internet of Things (IoT) technology, the technical requirements for indoor positioning technology are gradually growing. Indoor high-precision positioning technology is obtaining widespread attention from industrial areas, especially the field of safety management for hazardous operators. Ultra-wideband (UWB) technology has become one of research focuses for indoor positioning technology research because of its outperformances treating with multipath resistance, interference resistance, owning high penetration and high accuracy. With the improvements of the management standards, enterprises increasingly need precise positioning in personnel security management, movement track and activity area restrictions. To outline the current development status of the state-of-art in positioning technologies, this study introduces the development and algorithms of UWB positioning technology and related applications in the fields of personnel security, providing a comprehensive reference for personnel positioning and security monitoring. Finally, we introduce an effective positioning approach based on a hand-ring UWB tag, which is capable of real-time monitoring of life safety indicators, such as heart rate and blood oxygen. This hand-ring UWB tag can monitor the both position and human-body healthy status, and will be widely used in various fields in the future. © 2023 SPIE.

关键词： Accident prevention

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An Advance Implementation of Machine Learning Techniques for the Prediction of Cervical Cancer 3

An Advance Implementation of Machine Learning Techniques for...

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3rd IEEE international conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Roy, Vandana Roy, Lipika Ahluwalia, Ritu Khambra, Geetanjli Ramesh, M. Rajasekhar, K. Gyan Ganga Institute of Technology and Sciences Dept. of Ec M.P. Jabalpur India Gyan Ganga Institute of Technology and Sciences Ug Course M.P. Jabalpur India The Bhopal School of Social Sciences Department of Computer Applications M.P Bhopal India St. Martin's Engineering College Dept. of It Telangana Bharat Secunderabad India B v C Engineering College Dept. of Ece AP Bharat Odalarevu India

ISBN: (纸本)9798350343274

Cancer has now become a widespread issue, and it might be difficult to diagnose it. The analysis and diagnosis of disease in a patient through a monitoring system has advanced significantly, but there are still some obstacles to overcome. technology-assisted disease discovery is urgently required since it could enable clinicians to make an accurate diagnosis more quickly. The process makes use of event-driven datasets produced by the Internet of Things (IoT). Rarely are the cloud and IoT used to process the real-time dataset for illness discovery. Cancer detection is a serious difficulty since the data generated by sensors constitutes huge data and cannot be quickly processed without the use of data mining and machine learning. A precise and intelligent method is needed for cancer prognosis because it has been discovered that cancer cannot be accurately predicted from offline datasets. The international Federation of Obstetrics and Gynecology (IFOG) realworld data set has been used to predict cervical cancer using machine learning. Five metrics, including true-positive-rate, false-positiverate, f-measure, MCC, and accuracy, have been used to examine the results of the training of six machine learning models using the latest UCI repository. The outcomes demonstrate that the tree-based decision stump machine learning classifier and the meta-based iterative classifier optimizer achieved the maximum prediction accuracy of 77.97%, which is the greatest among the other ML classifiers. The proposed model demonstrated noteworthy performance in terms of prediction accuracy. © 2023 IEEE.

关键词： Internet of things

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Impact of Grid-Connected Photovoltaic System in the Power Quality of a Transmission Network 3rd

Impact of Grid-Connected Photovoltaic System in the Power Qu...

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3rd international conference on Electronic engineering and Renewable Energy, ICEERE 2022

作者： Dib, M. Nejmi, A. Ramzi, M. Laboratoryof Automation Energy Conversion and Microelectronics Faculty of Science and Technology Sultan Moulay Slimane University B.P. 523 Beni Mellal Morocco

ISBN: (纸本)9789811962226

This article presents the results of the impact study on the high-voltage (HV) transmission network of a 40 MW PV plant connected to the high impedance Moroccan HV network. The analysis of the power plant’s behavior at the connection point includes the calculation of the active and reactive power flux and the harmonics. The simulation results from the electrical Transient Analyzer Program (ETAP) software showed the influence of the short-circuit power of the network and the type of inverter on the harmonic ratio at the connection point of the photovoltaic (PV) plant with the HV network. The study recommends installing a low-pass filter to reduce harmonic distortion at the short-circuit power (PCC) connection point. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electric power transmission networks

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