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共 5105 条记录，以下是171-180 订阅

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Research on distributed temperature monitoring technology of transformer based on variational mode decomposition 3

Research on distributed temperature monitoring technology of...

引用

3rd international conference on Smart Grids and Energy systems, SGES 2024

作者： Xue, Feng Wang, Xiangnv Ye, Mincong Li, Xiaoxia Liu, Liyuan Guangdong Power Grid Co. Ltd. Dongguan Power Supply Bureau Dongguan China

ISBN: (纸本)9798331539634

Transformer temperature monitoring is important to power system operation and maintenance. However, there is currently a lack of in-situ monitoring methods for the internal temperature of power transformers. This paper proposes a new type of transformer temperature in-situ monitoring scheme. With the help of the characteristics of the sensing optical fiber, which is not subject to electromagnetic interference, small adhesion, and non-metallic materials, the distributed Raman temperature measurement technology is used to realize the in-situ accurate measurement of the temperature of the three-phase winding and the oil tank area of the transformer. A 10 kV oil-immersed transformer prototype was successfully developed, and the internal temperature variation law of the transformer was obtained by a short-circuit temperature rise test. At the same time, a Raman temperature denoising algorithm based on variational mode decomposition and Pearson correlation coefficient is proposed, which realizes the accurate measurement of the internal temperature of the transformer and provides a new scheme for online monitoring of transformer temperature. © 2024 ieee.

关键词： Optical fibers

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Security Strategy for Microgrid distributed Power Dispatch and Control System 3

Security Strategy for Microgrid Distributed Power Dispatch a...

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2023 ieee 3rd international conference on Data Science and Computer Application, ICDSCA 2023

作者： Zhang, Xiao He, Yuxiong He, Zhihong State Grid Hubei Electric Power Co. Ltd. Wuhan China

ISBN: (纸本)9798350341546

While facilitating power distribution and management, microgrid distributed power dispatch and control system encounters diverse network security challenges. These threats stem from the intricate interconnectedness, system complexity, and the handling of sensitive data. To uphold the dependability and security of microgrid systems, it is imperative to implement a comprehensive array of security strategies and measures. The article presents security strategies to counter unauthorized access, mitigate denial of service attacks, and safeguard against data tampering in microgrid distributed power dispatch and control system. © 2023 ieee.

关键词： Dispatch and Control System distributed Power Microgrid Security

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Tools for Digitalization of Public and Economic Services 3

Tools for Digitalization of Public and Economic Services

引用

3rd ieee international conference on System Analysis and Intelligent computing, SAIC 2022

作者： Petrenko, Anatolii National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' System Design Department Kyiv Ukraine

The article considers the technology of creating tools to support digitalization tasks to perform complex computational scenarios based on service-oriented (microservice) architecture in a cloud environment. © 20... 详细信息

ISBN: (数字)9798350396744

ISBN: (纸本)9798350396744

关键词： Cloud computing Web services Knowledge based systems Medical services sensor systems sensors Dynamic programming

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Study on Loss Reduction Strategies for Distribution Networks Containing distributed Photovoltaics 3

Study on Loss Reduction Strategies for Distribution Networks...

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3rd international conference on Energy, Power and Electrical Technology, ICEPET 2024

作者： Lei, Xueting Chen, Xiaoguang Hu, Yuanting Liu, Jin Zhang, Rui Guan, Wanlin Heilongjiang Electric Power Research Institute Harbin150030 China

ISBN: (纸本)9798350352658

This study investigates the impact of distributed photovoltaic (PV) grid integration on line losses in distribution networks and proposes methods to mitigate this impact. The research addresses key questions regarding how the integration of distributed PV systems affects line losses, what methods can be used to reduce these losses, and how these methods can be validated. The study examines the theoretical basis of line loss reduction measures for distributed PV grid integration and proposes various mitigation methods. These methods are validated through numerical simulations and case studies. The findings suggest that implementing certain measures, such as optimizing PV integration strategies and adjusting system power factors, can effectively reduce line losses in distribution networks with distributed PV integration. Overall, the study emphasizes the importance of careful consideration of these measures for enhancing the efficiency of distribution networks. © 2024 ieee.

关键词： Power distribution networks

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Research on representative day selection method based on grey relational and K-means clustering 3

Research on representative day selection method based on gre...

引用

3rd international conference on Smart Grids and Energy systems, SGES 2024

作者： Zhao, Zihui Zhang, Danhong Ceng, Hai Li, Xun Zhou, Xinghua Hao, Shican Zhang, Huimin Xue, Yadi Zhuhai Power Supply Bureau Guangdong Power Grid Co. Ltd. Zhuhai China Guangdong Power Grid Co. Ltd. Guangzhou China Beijing Join Bright Digital Power Technology Co. Ltd. Beijing China North China Electric Power University Beijing China

ISBN: (纸本)9798331539634

With the rapid development of renewable energy technology, distributed Generation (DG) has become an important component of the power system. The integration of distributed power sources not only improves the flexibility and reliability of power systems, but also brings new challenges to load forecasting, grid scheduling, and line loss calculation in power systems. In response to the problem of selecting representative days for theoretical line loss calculation, this paper considers the impact of distributed power generation on the power system and proposes a representative day selection method based on grey correlation and k-means clustering. Firstly, the grey correlation method is used to select the top ten indicators that are related to the daily line loss rate. Then, the K-means clustering analysis method is used to cluster the top ten indicators, divide the substation data into three categories, select the most effective clustering center, and calculate the distance between the substation data and the clustering center on a monthly basis. The closest day to the clustering center is used as the representative day of this month. Finally, experimental data from Zhuhai was selected to verify the effectiveness of the proposed method. © 2024 ieee.

关键词： distributed power generation Grey correlation K-means clustering Representative Day

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Evaluation of Wireless sensor Networks Module using IoT Approach 3

Evaluation of Wireless Sensor Networks Module using IoT Appr...

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3rd international conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Anand, L. Padmalal, S. Seetha, J. Juliana, R. Naveen Kumar, P.S. Parasa, Gayatri Srm Institute of Science and Technology School of Computing Department of Networking and Communications Kattanguluthur India Mangalam College of Engg Department of Computer Science and Engineering Kerala India Panimalar Engineering College Department of Computer Science and Business Systems Chennai India Loyola-ICAM College of Engineering and Technology Department of Information Technology Chennai India St. Ann's College of Engineering and Technology Department of CSE-DATA Science AP Chirala India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Guntur India

ISBN: (纸本)9781665462167

Microcomputers and medical devices with signal transceivers that operate on a specific radio display constitute the backbone of wireless sensor networks (WS Ns) that monitor environmental conditions (temperature, pressure, light, vibration levels, location). It is widely used in WAN sensor networks because of its flexible design and low setup fees. The u200b touch network allows for the connection of up to 65,000 devices, while the Intelligent sensors on other wireless networks are used to transfer data ports and assign wireless networks. Since the price of wireless solutions has been decreasing, and their functional capabilities have been growing, they are gradually replacing wired ones in telemetry data gathering systems and long- distance detecting communication. A deep learning model was used in this investigation to prevent the sensor nodes from manipulating data. sensor nodes include a lot of parameters and estimations. If these projected data values are altered, network performance will suffer, and the node's lifetime will be reduced. Data security became a priority when the sensor nodes were distributed. This new method is 98.82% more efficient than the previous one. © 2023 ieee.

关键词： sensor nodes

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Comparative Analysis of TFET Structures for Low Power sensor Design 3

Comparative Analysis of TFET Structures for Low Power Sensor...

引用

3rd ieee international conference on Power Electronics, Intelligent Control and Energy systems, ICPEICES 2024

作者： Kumar, Parvesh Chaudhary, Tarun Raj, Balwinder Dr. B.R. Ambedkar Nit Punjab Jalandher India

ISBN: (纸本)9798350387193

The use of biosensors is growing in significance in the quickly evolving world of technology today. Due to their extensive utilization, biosensors have sparked a great deal of research, with scientists utilizing them to identify precise sites for biomolecules. There has been a lot of interest in FET-based biosensors because of its high noticing skill, low power, low cheap, label-free biomolecule detection, and CMOS cooperative on-chip combination. TFETs have the capability to create ultra-low quiescent current (pA). Metrics like elevated Ion/I off ratio, reduced ambipolar leakage, repressed subthreshold slope value, and high ION current are needed to assess TFET characteristics. The manuscript also improves on current approaches and offers a summary of a number of sensitivity parameters. This paper will provide researchers with a quick overview of a future concept for TFET biosensors that will have easier manufacturing procedures and better performance. © 2024 ieee.

关键词： Biomolecules

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Energy-Efficient Routing Optimization for IoT-Based Multilevel Heterogeneous Wireless sensor Networks using Firefly Algorithm and Hybrid Clustering 3

Energy-Efficient Routing Optimization for IoT-Based Multilev...

引用

3rd international conference on Electronics and Renewable systems, ICEARS 2025

作者： Shilpa, Challa Venkata Ashokkumar, N. Srinivas, Cherukuri Reddy, Guttireddy Krishna Chaitanya Gowd, Chitrala Rajasekhar Rao, Y. Mallikarjuna Department of Ece AndhraPradesh Tirupati517102 India Santhiram Engineering College Department of Ece Andrapresh Nandyal India

ISBN: (纸本)9798331509675

Based on the Internet of Things (IoT) the heterogeneous wireless sensor networks (HWSN) have gained popularity and are crucial for developing a variety of human-centered applications. The researchers have proposed a number of ways for energy usage minimization and achieve energy-efficient network operations but most of these attempts concentrate on using the clustering technique, although it is very effective but most of them require the recurrent cluster creation which draws a lot of energy from nodes throughout the clustering process. In this work, an Energy-Efficient Hybrid Clustering Technique (EEHCT) has been presented for IoT-based HWSN and Firefly Optimization (FFO) to optimize the routing. The nodes energy usage is ideal when the route to Base Station (BS) is optimal increasing the number of packets transmitted and alive nodes in the network and performed 90.27% than the existing methods in terms of network lifetime. © 2025 ieee.

关键词： Energy utilization

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All-in-one Wireless sensor Readout systems with Ultra-high Performance for Electronic Skins 3

All-in-one Wireless Sensor Readout Systems with Ultra-high P...

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3rd international conference on Micro/Nano sensors for AI, Healthcare, and Robotics (NSENS)

作者： Xiao, Shuai Wu, Lining Li, Chunyang Li, Zhongyi Du, Ming Dong, Lixin Zhao, Jing Beijing Inst Technol Sch Mech Engn Beijing Peoples R China Beijing Inst Technol Key Lab Biomimet Robots & Syst Minist Educ Beijing Peoples R China City Univ Hong Kong Dept Biomed Engn Hong Kong Peoples R China

ISBN: (纸本)9798350375220;9798350375213

In the era of digital information, social development requires an increasing demand for various types of sensors, especially flexible electronic sensors, which are capable of sensing external environmental stimuli and transducing to the electrical signals for analysis and processing. The diverse output electrical signals present challenges for the widespread applications, which need to develop a universal wireless monitoring framework to adapt multiple sensors. In this work, we developed a universal wireless multimodal sensor monitor system with measurement accuracy comparable to commercial testing equipment. The system features a modular design to support the collection of multimodal signals with personalized customization and reduced power consumption. The multisensor monitor system exhibited broad application prospects in healthcare, prosthetics, robotics, and human-machine interaction.

关键词： Human robot interaction

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Transductive - Long Short-Term Memory Network for the Fake News Detection 3

Transductive - Long Short-Term Memory Network for the Fake N...

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3rd ieee international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Pillai, Sanjaikanth E Vadakkethil Somanathan Avacharmal, Rajiv Reddy, R. Archana Pareek, Piyush Kumar Zanke, Pankaj School Of Electrical Engineering And Computer Science University Of North Dakota Grand Forks United States Center For Data Science And Artificial Intelligence New York Life Insurance Company Farmington HillsMI United States School Of Computer Science And Engineering Sr University Telangana Warangal India Nitte Meenakshi Institute Of Technology Department Of Aiml And Ipr Cell Bengaluru India Sapiens International Corporation United States

ISBN: (纸本)9798350318609

Recently, fake news and rumors are distributing majorly and rapidly in all over world. That circumstance causes the production and propagation of incorrect news articles. As well as mis data and fake news are maximized through user without correct verification. In this manuscript, proposed a Transductive - Long Short-Term Memory (T-LSTM) method for detecting fake news. The Buzzfeed and ISOT datasets are used in this manuscript for fake news detection and it is pre-processed by tokenization, removal of stop word and stemming. Then, the reduction of feature is performed by using Probability Principal Component Analysis (PPCA) and it is classified by using T-LSTM method. The proposed T-LSTM method attained accuracy 96.51 %, precision 94.64 %, recall 92.33 % and f1-score 93.57% on Buzzfeed dataset. The proposed T-LSTM method attained accuracy 98.43%, precision 97.76%, recall 97.02% and f1-score 97.35% on ISOT dataset. The proposed T-LSTM method performed well than other existing methods like LSTM -Levy Flight (LSTM-LF) and OptNet. © 2024 ieee.

关键词： Long short-term memory

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