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检索条件"任意字段=3rd IEEE International Conference on e-Science and Grid Computing"

共 7528 条记录，以下是191-200 订阅

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Research on Service Scanning Supervision Technology Based on Improved Association Algorithm 3

Research on Service Scanning Supervision Technology Based on...

引用

3rd ieee international conference on electrical engineering, Big Data and Algorithms, eeBDA 2024

作者： Shang, Qingqing Liu, Chao Li, Jiwei Ren, Liwei Zhang, Xinyi Jia, Zhen Jiang, Yuchen Liu, Haitao State Grid Information & Telecommunication Branch Beijing China State Grid Zhejiang Electric Power Co. Ltd. Lishui Power Supply Company Zhejiang Lishui China

ISBN: (纸本)9798350380989

The scale of data in the Internet environment is becoming increasingly large and complex. Its heterogeneous, dynamic and distributed information characteristics have caused the existing business scanning and monitoring models to be unable to meet its application needs. This project proposes an improved iterative algorithm based on multiple servers. By introducing the idea of local operation of memory nodes, a service scanning and monitoring model that can support concurrency is constructed. A cluster analysis method based on genetic algorithm based on cluster analysis is proposed. It is then synthesized to correlate the largest set of recurring items to achieve data association, extend the iterative service scanning supervision algorithm, and obtain user-interested implicit patterns from server logs. At the same time, personalized service purposes are achieved by recommending implicit interest collections to users. Simulation results show that this method can effectively improve the performance of business search monitoring, and has the characteristics of enhancement as the data size increases. © 2024 ieee.

关键词： iterative algorithm local computing parallel algorithm Web data association

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Real-Time Thyroid Nodule Precise MIoT Leveraging Quad-Node Raspberry Pi Clusters and NVIDIA Jetson Nano for edge AI 3

Real-Time Thyroid Nodule Precise MIoT Leveraging Quad-Node R...

引用

3rd international conference on computing, Communication, Perception and Quantum Technology, CCPQT 2024

作者： Liu, Xian-Xian Tan, Lijian Yang, Jie Department of Computer and Information Science University of Macau China College of Intelligent Manufacturing Chongqing Industry and Trade Polytechnic Chongqing China College of Artificial Intelligence Chongqing Industry and Trade Polytechnic Chongqing China

ISBN: (纸本)9798331528386

This study introduces the thyroid nodule segmentation grid search based local patch learning (GS-LPL) network as an effective IoT solution for real-time, precise thyroid cancer segmentation. Utilizing the Turing PI and NVIDIA Jetson Nano, we developed a quadruple node distributed computing cluster for real-time cancer segmentation through parallel and distributed computing. GS-LPL features a lightweight neural network, optimized for mini-supercomputers, enabling efficient model training and deployment. The NVIDIA Jetson Nano supports real-time high-definition video processing, ideal for low-powered intelligent video analytics like Network Video Recorders (NVR). Our model is also deployable on mobile devices with limited resources. experimental results validate our model’s fast, efficient, and accurate performance in thyroid nodule cancer segmentation. © 2024 ieee.

关键词： Cluster computing

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Artificial Intelligence Method for V2G oriented Power Distribution Network Control Strategy and Capacity Analysis 3

Artificial Intelligence Method for V2G oriented Power Distri...

引用

3rd international conference on Data Analytics, computing and Artificial Intelligence, ICDACAI 2024

作者： Tao, Li Bo, Wang Yongbin, Su Cheng, Li State Grid Hubei Electric Power Co. Ltd. Jingzhou Power Supply Company Hubei Jingzhou434000 China State Grid Jingzhou Power Supply Company Economic and Technological Research Institute Hubei Jingzhou434000 China State Grid Hubei Electric Power Co. Ltd. Tianmen Power Supply Company Hubei Tianmen431700 China

ISBN: (纸本)9798331519032

With the popularization of electric vehicle (eV), Vehicle-to-grid (V2G) technology has become an important means to balance the supply and demand of power grid and improve the flexibility of power grid. This article aims to explore a V2G-oriented power distribution network (PDN) regulation strategy and artificial intelligence (AI) method for carrying capacity analysis, so as to realize the efficient and stable operation of the power grid. In this article, a data fusion method based on modified mind evolutionary algorithm (MMeA) is proposed to deal with complex data in PDN. Then, based on the data fusion results, a V2G control strategy is designed. Finally, MMeA algorithm is used to analyze the V2G carrying capacity of PDN. The results show that this method has achieved remarkable results in data fusion, control strategy optimization and carrying capacity analysis, and improved the operation efficiency and stability of PDN. To sum up, the V2G-oriented PDN control strategy and AI method for carrying capacity analysis proposed in this article provide strong support for the practical application of V2G technology and the intelligent development of power grid. © 2024 ieee.

关键词： Power distribution networks

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Development of Distribution-level Multi-domain Synchronized Measurements for FNeT/grideye 3

Development of Distribution-level Multi-domain Synchronized ...

引用

3rd international conference on energy Transition in the Mediterranean Area, SyNeRGY MeD 2024

作者： Sun, Biao Wu, Yuru Yu, Wenpeng Thotakura, Naga Lakshmi Liu, Qian Liu, Yilu Liu, Yu Wang, Wen Gao, Shengyou The University of Tennessee Knoxville Knoxville United States Oak Ridge National Laboratory Knoxville United States Tsinghua University Beijing China

ISBN: (纸本)9798350375923

This paper presents an in-depth review of the evolution of distribution-level monitoring sensors used in the FNeT/grideye system. It details the technological advancements and the impact of three generations of sensors on grid monitoring. It highlights significant improvements in precision, sampling rates, and real-time data processing, contributing to enhanced grid stability and reliability. © 2024 ieee.

关键词： CIDeRs D-PMUs FNeT/grideye grid Stability and Reliability WAMS

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Survey of Neuromorphic computing: A Data science Perspective 3

Survey of Neuromorphic Computing: A Data Science Perspective

引用

3rd ieee international conference on Computer Communication and Artificial Intelligence, CCAI 2023

作者： Clark, Kasey Wu, Yalong University of Houston Department of Computing Sciences Clear LakeTX United States

ISBN: (纸本)9798350335262

Neuromorphic computing utilizes memristors to mimic biological neurons and processes data in brain-like way. Given the intrinsic benefits of non-volatile high-density memory, bio-compatibility, and energy efficiency of memristors, neuro-morphic computing has opened many opportunities for various fields of data science. In this paper, we conduct a brief survey of neuromorphic computing through the lens of data storage, data processing, artificial intelligence, and data security and privacy. © 2023 ieee.

关键词： energy efficiency

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Analysis of the Application Status of Big Data Algorithm in Power Marketing 3

Analysis of the Application Status of Big Data Algorithm in ...

引用

3rd international conference on Smart Generation computing, Communication and Networking, SMART GeNCON 2023

作者： Xu, Yukun Zhu, Zheng Jiang, Chao Liu, Chang State Grid Shanghai Customer Service Center Shanghai200300 China

With the continuous development of Internet and information technology, big data has become an important topic in today's society. In the power industry, big data algorithms are gradually being applied. This paper... 详细信息

ISBN: (纸本)9798350319125

关键词： big data big data algorithms electric power enterprises electricity marketing

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Characteristic Analysis of Power grid Natural Disaster Operation and Maintenance Big Data 3

Characteristic Analysis of Power Grid Natural Disaster Opera...

引用

3rd international conference on Ubiquitous computing and Intelligent Information Systems, ICUIS 2023

作者： Li, Shan Zhang, Wei Zhou, Yangjun Ouyang, Jianna Huang, Zhidu Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning Guangxi530015 China

ISBN: (纸本)9798350306989

As a recognized clean energy, electric power energy is loved and also welcomed by people because of its characteristics of cleanliness and convenience. It is the most common secondary energy of modern societies. How to carry out long-term operation and maintenance of power grid and disaster warning is the latest research focus. To improve the robustness of the power grid system, this paper conducts the characteristic analysis of the power grid natural disaster operation and maintenance big data. The highlights are: 1. The novel power grid big data analytic paradigm is proposed for analyzing the information effectively. 2. The grid operation and long-term maintenance methods are summarized and the efficient model is proposed. 3. The characteristic analysis of power grid natural disaster operation and maintenance big data is proposed. Through the experimental verification regarding the concurrency test and prediction performance, the performance is presented. © 2023 ieee.

关键词： Big data

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2024 3rd international conference on Distributed computing and High Performance computing, DCHPC 2024

2024 3rd International Conference on Distributed Computing a...

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3rd international conference on Distributed computing and High Performance computing, DCHPC 2024

ISBN: (纸本)9798350381580

The proceedings contain 21 papers. The topics discussed include: enhancing the performance of photonic crystal and gates with machine learning optimization;bitcoin price prediction based on financial data, technical indicators, and news headlines sentiment analysis using CNN and GRU deep learning algorithms;promoting cybersecurity knowledge via gamification: an innovative intervention design;modeling and verification of the causal broadcast algorithm using colored Petri Nets;GPU-based parallel technique for solving n-similarity problem in textual data mining;a novel approach for specification and verification of symmetric distributed algorithms using spin;optimizing geophysical workloads in high-performance computing: leveraging machine learning and transformer models for enhanced parallelism and processor allocation;and rational Jacobi kernel functions: a novel massively parallelizable orthogonal kernel for support vector machines.

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A fast finding method for power Internet of Things equipment vulnerabilities based on page adaptive replacement cache replacement algorithm 3

A fast finding method for power Internet of Things equipment...

引用

3rd ieee international conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Zhang, KunSan Zhang, Yongji Zheng, JiaMing Fu, Jie Liu, YuXuan State Grid Fujian Electric Power Co. Ltd. Zhangzhou Power Supply Company Fujian Zhangzhou China State Grid FuJian Information & Telecommunication Company Fujian Fuzhou China State Grid Fujian Electric Power Co. Ltd. Ningde Power Supply Company Fujian Ningde China

ISBN: (纸本)9781665490788

This paper aims at the problem that the passive detection and search speed of power Internet of Things equipment is not high. This article proposes a new fast vulnerability finding method, adopts the cache idea, establishes a secondary cache database, and uses the page adaptive replacement cache replacement algorithm idea and mobile The average algorithm is used as a grading rule. This grading rule solves the problems of frequency, timeliness, and noise points. It selects a higher priority CVe and stores it in the first-level cache. The gradient search greatly improves the The search speed of CVe reduces unnecessary waste of computing resources, thus greatly improving the search speed of vulnerabilities. © 2023 ieee.

关键词： Grading

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Integrated Control Platform for Power Plants Based on Advanced Algorithms 3

Integrated Control Platform for Power Plants Based on Advanc...

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3rd international conference on Smart Generation computing, Communication and Networking, SMART GeNCON 2023

作者： Wang, Yibo Hu, Man Chen, Maoyuan NorthChina Branch of State Grid Corporation of China Beijing100053 China

ISBN: (纸本)9798350319125

Under the background of the development and progress of science and technology, the power plant has integrated advanced technology into the process of equipment control and developed an integrated control platform. However, the traditional integrated control platform cannot control the equipment more accurately. With the continuous progress and development of science and technology, the integrated control technology of thermal power plants is also constantly updated and improved. This paper will introduce the application of advanced algorithms in the integrated control of thermal power plants, including the content, method, process and results. the integrated control platform based on advanced algorithms is the integrated control platform of the power plant The control accuracy and control platform improvement are better than the traditional integrated control platform. © 2023 ieee.

关键词： computer Integrated control platform based on advanced algorithms power plants

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