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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

共 5102 条记录，以下是141-150 订阅

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Design of Real-time Centroid Extraction System for Shack-Hartmann sensor Based on FPGA 3

Design of Real-time Centroid Extraction System for Shack-Har...

引用

3rd ieee international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Xiaocui, Shen Zhangqin, Huang Han, Gao Beijing University of Technology Beijing Engineering Research Center for IoT Software and Systems Beijing China

ISBN: (纸本)9798350398410

Hartmann wavefront sensor is applied widely in adaptive optics systems. Considering the real-time performance requirements and processing amount of Hartmann sensors in computing the centroids of points, this article proposes an FPGA-based real-time image processing and centroid extraction system. The system adopts FPGA as the core processor and uses the connected domain labeling algorithm and the gray centroid method to complete the centroid calculation. In addition, the calculation results are output simultaneously through multiple DAs to drive the device under test to achieve image wavefront restoration. At the same time, the image data is uploaded to the host computer in real-time through the Ethernet interface. The system has excellent performance in real-time image processing, image output quality, and system control stability. Experiments show that it is an efficient technical means of providing real-time wavefront processing measurement for the Hartmann sensor in various application scenarios, such as adaptive optical correction. © 2023 ieee.

关键词： Field programmable gate arrays (FPGA)

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distributed computing and Data Processing Technology under the Power Data Middleware Architecture 3

Distributed Computing and Data Processing Technology under t...

引用

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

作者： Zou, Yuelin Shen, Jia Yin, Rui Guo, Jiangtao Guo, Yi State Grid Xinjiang Electric Power Co. Ltd. Information and Communication Company Urumqi830002 China State Grid Xinjiang Electric Power Co. Ltd. Urumqi830002 China State Grid Info-Telecom Great Power Science and Technology Co. Ltd Fuzhou350001 China

ISBN: (纸本)9798350341546

With the establishment and development of integrated monitoring platforms and communication information platforms for intelligent substations, the data volume of the power system is showing explosive growth. However, existing data centers have poor processing capabilities for massive amounts of data, making it difficult to meet the multiple service quality requirements of users. How to effectively manage massive and complex data, fully utilize the value of data, improve service quality, reduce operational costs, and achieve rapid response to users is an urgent problem to be solved. Therefore, based on the actual needs of power enterprises, this article proposed a cloud computing power data middleware architecture based on distributed technology, which effectively managed, cleaned, converted, and evaluated power data sources through cloud computing platforms. This article mainly analyzed the shortcomings of traditional power data processing platforms and the feasibility of cloud computing based power data platforms. Finally, through load balancing bias comparison and pressure testing experiments under different task numbers, it was proven that cloud computing systems outperformed traditional power data processing systems in terms of utility value, completion time, and load balancing. Moreover, in the pressure testing experiment, under the condition of 10 concurrent users and 673 system request transactions, 91.3% of the interface response time in the cloud computing system was within 50ms. Therefore, cloud computing systems have certain advantages in processing power data. © 2023 ieee.

关键词： Cloud computing Data Center System Data Processing distributed computing Electricity Data

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Zoning voltage coordination control method for high proportion distributed photovoltaic power in distribution network 3

Zoning voltage coordination control method for high proporti...

引用

3rd international conference on Energy and Electrical Power systems (ICEEPS)

作者： Xue, Bing Ge, Yanfeng Li, Chuang Guo, Niankang Ma, Chenglian Huang, Dawei State Grid Liaoning Elect Power Co LTD State Grid Yingkou Power Supply Co Yingkou 115206 Liaoning Peoples R China Northeast Elect Power Univ Key Lab Modern Power Syst Simulat & Control & Ren Minist Educ Jilin 132012 Jilin Peoples R China

ISBN: (纸本)9798350375145;9798350375138

The high penetration of distributed photovoltaic generation into distribution networks has become a major development trend in the future. However, the intermittency and random fluctuations of distributed photovoltaic output have exacerbated voltage violation and fluctuation issues in distribution networks. To address this problem, a distribution network zoning voltage coordination control strategy is proposed. In terms of zoning, voltage sensitivity index information obtained from daily power flow calculations is utilized to analyse and express the impact variation of photovoltaic generation on the voltage of each node. Based on the threshold requirements of voltage variation indices, the zoning of nodes is determined. In terms of zoning voltage coordination control, a strategy of voltage sensitivity control within the partition is adopted, pairing nodes within each partition and utilizing the active and reactive regulation capabilities of photovoltaic generation to control all over-limit voltage within normal range. Furthermore, through the interval distributed voltage coordination control strategy, the interval state variables are equivalenced, and based on the SADMM algorithm, the dynamic reactive power compensation amount between adjacent partitions is optimized to achieve the optimization and suppression of network-wide voltage fluctuations. Taking the ieee 33-node system as an example, a case study was conducted to verify the effectiveness and feasibility of the proposed strategy in practical applications.

关键词： distributed photovoltaic distribution network zoning control voltage violation voltage fluctuation

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A Working Point Stabilization System of Broadband Optical Acoustic sensor Based on Laser Frequency Locking Technology 3

A Working Point Stabilization System of Broadband Optical Ac...

引用

3rd international conference on Energy and Electrical Power systems (ICEEPS)

作者： Sun, Zhengnan Guo, Yiran Gao, Shan Li, Hongtao Wu, Zhicheng Zhang, Qiaogen Xi An Jiao Tong Univ Key Lab Elect Insulat & Power Equipment Xian Shaanxi Peoples R China State Grid Jiangsu Elect Power Co Ltd Elect Power Res Inst Nanjing Jiangsu Peoples R China

ISBN: (纸本)9798350375145;9798350375138

Intensity demodulation is a typical demodulation method of photoacoustic sensors, which directly affects the performance of photoacoustic (optical acoustic) sensors. The stability of the working point is crucial for the successful implementation of intensity demodulation. However, achieving stable working points across a wide frequency range poses a key challenge for the development of broadband photoacoustic sensors. In this study, we propose a working point control system based on a reference solid etalon. This system establishes a correlation between the wavelength at the working point of the sensing circuit and the frequency-locked wavelength of the frequency-locking circuit by matching the spectral lines of the solid etalon and the air-gap etalon. The edge locking method is adopted to realize the stability of the working point of the sensor. The results demonstrate that the proposed working point control system effectively mitigates laser source fluctuations and achieves working point stability. In addition, the measurement results of the acoustic signal confirm that the sensing system responds significantly to the acoustic signal at and below 100kHz, which provides a foundation for subsequent sensor performance optimization.

关键词： Broadband optical acoustic sensor laser frequency locking working point stabilization

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Agricultural 4.0 Leveraging on Technological Solutions: Study for Smart Farming Sector 3

Agricultural 4.0 Leveraging on Technological Solutions: Stud...

引用

3rd international conference on computing and Machine Intelligence (ICMI)

作者： Gyamfi, Emmanuel Kojo ElSayed, Zag Kropczynski, Jess Yakubu, Mustapha Awinsongya Elsayed, Nelly Univ Cincinnati Sch Informat Technol Cincinnati OH 45221 USA

ISBN: (纸本)9798350372977;9798350372984

By 2050, it is predicted that there will be 9 billion people on the planet, which will call for more production, lower costs, and the preservation of natural resources. It is anticipated that atypical occurrences and climate change will pose severe risks to agricultural output. It follows that a 70% or more significant rise in food output is anticipated. Smart farming, often known as agriculture 4.0, is a tech-driven revolution in agriculture with the goal of raising industry production and efficiency. Four primary trends are responsible for it: food waste, climate change, population shifts, and resource scarcity. The agriculture industry is changing as a result of the adoption of emerging technologies. Using cutting-edge technology like IoT, AI, and other sensors, smart farming transforms traditional production methods and international agricultural policies. The objective is to establish a value chain that is optimized to facilitate enhanced monitoring and decreased labor expenses. The agricultural sector has seen tremendous transformation as a result of the fourth industrial revolution, which has combined traditional farming methods with cutting-edge technology to increase productivity, sustainability, and efficiency. To effectively utilize the potential of technology gadgets in the agriculture sector, collaboration between governments, private sector entities, and other stakeholders is necessary. This paper covers Agriculture 4.0, looks at its possible benefits and drawbacks of the implementation methodologies, compatibility, reliability, and investigates the several digital tools that are being utilized to change the agriculture industry and how to mitigate the challenges.

关键词： Smart Farming Agriculture 4.0 Precision Farming Sustainable IoT Security sensor

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Research on Network Security Protection Techniques for the Central Station Side of distributed Power Dispatch and Control systems 3

Research on Network Security Protection Techniques for the C...

引用

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

作者： Zhang, Xiao Wang, Youhuai Zhang, Wenlu State Grid Hubei Electric Power Co. Ltd. Wuhan China

ISBN: (纸本)9798350341546

This research focuses on the study of network security protection techniques for the central station side of distributed power dispatch and control systems. It covers various aspects such as vulnerability discovery, information interaction security, device management, and threat tracing. The aim is to propose an integrated, multi-dimensional, and multi-level security protection system that combines active and passive data security measures and security analysis methods to ensure the safety and reliability of the distributed power dispatch and control systems. © 2023 ieee.

关键词： Device Management distributed Power Dispatch and Control System Information Interaction Security Network Security Vulnerability Discovery

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distributed Energy Cluster Partition and Generation Planning Based on Improved K-means plus 3

Distributed Energy Cluster Partition and Generation Planning...

引用

3rd international conference on Energy and Electrical Power systems (ICEEPS)

作者： Wu, Ruhao Chen, Fengchao Li, Qiwei Zhao, Ruifeng Liu, Zheng Guangdong Power Grid Co Ltd Elect Power Dispatching & Control Ctr Dongguan 523008 Guangdong Peoples R China Guangdong Power Grid Co Ltd Dongguan Power Supply Bur Dongguan 523008 Guangdong Peoples R China Guangdong Power Grid Co Ltd Elect Power Dispatching & Control Ctr Guangzhou 510600 Guangdong Peoples R China

ISBN: (纸本)9798350375145;9798350375138

The access of renewable energy to the power grid has become a major trend, but due to its uncertainty and stochasticity, it brings great challenges to the safe and reliable operation of the power grid. This paper focuses on the cluster partition of high percentage distributed energy sources and the distributed energy generation planning problem. First of all, a comprehensive cluster partition index system is proposed, which fully considers the structural, functional and flexibility indexes;then, the weights of the three major types of indexes are assigned, and the cluster partition is carried out based on the improved k-means++ algorithm;then;based on the results of the cluster partition, a distributed energy generation planning model is established, which is disassembled into the main problem and the sub-problems by using the Benders decomposition algorithm to solve the problem. Finally, the simulation results verify the effectiveness of the proposed cluster partition and generation planning method.

关键词： Distribution Network Renewable Energy Cluster Partition Generation Planning K-means plus

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Reconstruction and Update of 3D Model of Mechanical Products Based on 3D Point Cloud Data 3

Reconstruction and Update of 3D Model of Mechanical Products...

引用

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

作者： Zhou, Fujing Anhui Vocational And Technical College Anhui Hefei China

ISBN: (纸本)9798350318609

With the help of high-resolution images, 3D model reconstruction can obtain and extract the original feature information of the object, thereby achieving accurate measurement of product geometric dimensions, materials and other parameters. This technology has broad application prospects in the field of mechanical processing. This article first analyzes the current research status of 3D micro-measurement technology and three-dimensional surface reconstruction methods at home and abroad. Subsequently, this article uses three-dimensional point cloud data for modeling, and performs real-time shooting and data processing of parts. Afterwards, this article uses cloud data processing technology to extract the mechanical products in the sample, and obtains the dimensional parameters of the mechanical products through image fusion. Finally, this article conducts a performance test on the reconstructed three-dimensional model of the mechanical product. The test results show that after optimization, the dynamic response time of the model is reduced from 8-12s to 3-5s. This shows that the model can quickly respond to machine data and achieve high-efficiency operation;after optimization, the durability basically reaches more than 79%. The results of this study can show that the reconstruction effect of this model has been significantly improved, but it still needs improvement. © 2024 ieee.

关键词： Image fusion

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2024 3rd international conference on Energy and Electrical Power systems, ICEEPS 2024

2024 3rd International Conference on Energy and Electrical P...

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3rd international conference on Energy and Electrical Power systems, ICEEPS 2024

ISBN: (纸本)9798350375138

The proceedings contain 267 papers. The topics discussed include: deep learning prediction for multiple source-load via VMD-RIME-LSTM;a hybrid GRU-LightGBM model for day-ahead electricity price forecasting;remaining-capacity-based distributed control for harmonic sharing in islanded microgrids;networking mode and evaluation method of low voltage direct current charging and discharging system in residential communities;the three-stage model and analysis of cable terminal boot failure development;electromagnetic performance analysis and optimization of asynchronous motors based on finite element analysis;research on normal force of linear induction motor based on Ansoft;and reliability evaluation method of distribution network under extreme disasters based on index reuse.

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Identification of DDoS Attack on IoT Network Using SDN 3

Identification of DDoS Attack on IoT Network Using SDN

引用

3rd international conference on Pervasive computing and Social Networking, ICPCSN 2023

作者： Ahuja, Nisha Mukhopadhyay, Debajyoti Benett University Greater Noida Department of Computer Science India Benett University WIDiCoReL Research Lab Department of Computer Science India

ISBN: (纸本)9798350322842

This study discusses how Software-DefinedNetworking (SDN) overcomes the majority of the shortcomings of wireless sensor network. An SDN-IoT framework, where sensor nodes are integrated to work inan SDN environment has been proposed. The sensor nodes send their transmission data to the SDN controller using Mosquitto broker. The sensor nodes are analysed by sending the data to the python application which computes the Packet rate and Bandwidth. If the packet rate and bandwidth are found to be above the threshold, the DDOS attack is said to take place. In future, the solution would be integrated with Machine Learning approach to detect the DDOS attacks. © 2023 ieee.

关键词： sensor nodes

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