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检索条件"任意字段=7th International Symposium on Intelligent Data Analysis"

共 3959 条记录，以下是1-10 订阅

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Visual analysis of High Dam Based on Digital Twin Technology 7

Visual Analysis of High Dam Based on Digital Twin Technology

引用

2023 7th international symposium on Computer Science and intelligent Control, ISCSIC 2023

作者： Jiang, Kunhong Tang, Rong Chai, Xinyao Liu, Simin Liu, Zhigui Li, Li Southwest University of Science and Technology Sichuan Eng. Technology Research Center of Industrial Self-Supporting and Artificial Intelligence Mianyang China

ISBN: (纸本)9798350342987

To solve the problem that high dams have high data dimension, high collection density and it is difficult for traditional data analysis methods to obtain effective information from large amounts of data in the construction of water conservancy projects, this paper puts forward a visualization analysis of high dams based on digital twin technology, which realizes the construction of virtual high dams and real-time feedback of virtual high dams to real high dams through the modeling and data reuse of Physical high dams. © 2023 IEEE.

关键词： Visualization

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intelligent Book Storage Cabinet Design 7

Intelligent Book Storage Cabinet Design

引用

7th international Conference on Artificial Intelligence and Big data (ICAIBD)

作者： Song, Wenge Dong, Hao Huang, Song Tongji Zhejiang Coll Dept Mech & Automot Engn Jiaxing Peoples R China Tongji Zhejiang Coll Dept Sports Jiaxing Peoples R China

ISBN: (纸本)9798350385113;9798350385106

Literati and refined scholars have always been interested in collecting ancient books, but improper storage methods can easily lead to the moldy damage of ancient books, which will result in literary and economic losses. through market analysis, the article proposes a design method for an intelligent book storage cabinet that can monitor the book storage environment in real-time, achieving convenient and scientific storage of books. the author first designed the structure of the book storage cabinet, and then introduced its control system and completed the selection of relevant functional components. this product design takes cultural protection as the starting point and provides ideas for the development of household and public book storage devices.

关键词： books intelligent storage cabinets structural design system general design

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2024 IEEE 7th international symposium on Telecommunication Technologies: Exploring Future Frontiers in Telecommunication and Vehicular Technologies, ISTT 2024

2024 IEEE 7th International Symposium on Telecommunication T...

引用

7th IEEE international symposium on Telecommunication Technologies, ISTT 2024

ISBN: (纸本)9798350392074

the proceedings contain 29 papers. the topics discussed include: optimizing energy efficiency in ultra-dense networks through enhanced device-to-device communication and small base station management;wavelength assignment algorithm for energy consumption reduction in TWDM-PON based 5G fronthaul;enhancing cybersecurity in healthcare using blockchain and IoMT-integrated framework for mitigating emerging risks;channel estimation for 29GHz mmWave MIMO systems in tropical region;on the passive fingerprinting attack for IoT device classification;threat intelligence in IoMTs with federated learning using non-IID data: an experimental analysis;on the robustness of ACLR and EVM performance in hybrid digital/analog predistorters;and hybrid reconfigurable intelligent surfaces and unmanned aerial vehicle assisted communication.

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A Brief Review on Missing Traffic data Imputation Methods for intelligent Transportation Systems 7

A Brief Review on Missing Traffic Data Imputation Methods fo...

引用

7th international symposium on Autonomous Systems, ISAS 2024

作者： Yang, Lei Wu, Hao Chongqing University of Posts and Telecommunications School of Computer Science and Technology Chongqing400065 China Southwest University College of Computer and Information Science Chongqing400715 China

ISBN: (纸本)9798350363173

Traffic data plays a vital action in transportation study and implantation, including forecasting travel times, designing travelling routes, and alleviating traffic congestion. When collecting traffic data from sensors, missing data issues are inevitable. How to perform accurate imputation based on incomplete traffic data has become a key research topic in intelligent Transportation Systems (ITS). this technology is very challenging because of the complex nonlinearity and dynamic spatiotemporal correlation of traffic data. Recently, a large number of research efforts have significantly improved the performance of traffic recovery by modeling spatiotemporal traffic data through various methods. this paper provides a general summary of the literature on missing traffic data imputation from several aspects. Specifically, we discuss existing imputation methods, give classifications, and analyze current challenges and solutions. © 2024 IEEE.

关键词： Traffic congestion

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Research on intelligent Control Methods for Community Real Population Based on Big data and Object Detection 7

Research on Intelligent Control Methods for Community Real P...

引用

7th international Conference on Machine Vision and Applications (ICMVA)

作者： Ren, Zheng Li, Yingqiu Shen, Yujun Xu, Yanxin Dalian Neusoft Univ Informat Dalian Peoples R China Hangzhou Hikvis Digital Technol Co Ltd Hangzhou Peoples R China

ISBN: (纸本)9798400716553

this article proposes an intelligent control system for managing the population within residential communities in China. With the country's rapid economic growth and increasing urbanization, effective population management has become a challenge, especially in medium-sized and mega cities. the system utilizes cutting-edge technologies such as deep learning and big data to build a back-end population management platform, along with a mobile front-end for data collection. the system incorporates image information capture, identity information capture, and address information capture modules to track individuals and monitor their travel patterns. through data analysis and exploration, the system creates databases for personnel detection, unidentified individual identities, permanent residents, and key individuals' personal information. the control system enables authorized personnel to review and distribute control information efficiently, enhancing routine screening, contact tracing, and early detection activities. the data processing stage of the system involves data access, governance, analysis, result output, data sharing, and data feedback, providing insights into the identity and potential risks of individuals in the community.

关键词： intelligent control system Population management Residential communities

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A Fault Diagnosis Method of Quadrotor UAV Based on Self-attention Mechanism 7

A Fault Diagnosis Method of Quadrotor UAV Based on Self-atte...

引用

2023 7th international symposium on Computer Science and intelligent Control, ISCSIC 2023

作者： Wang, Zijian Chen, Fuyang Miao, Yufeng Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing China

ISBN: (纸本)9798350342987

Due to the different flight actions of the quadrotor unmanned aerial vehicle (UAV), the distribution of condition monitoring data in time dimension is inconsistent. the data-driven diagnostic model is difficult to extract fault features, which reduces the diagnostic performance. In this paper, a fault diagnosis method for quadrotor UAV based on self-attention mechanism is proposed. the attention mechanism is used to extract the long-term dependence of the data in time dimension. then, a convolution module is added for further feature extraction, which can improve the capability of fault feature extraction. Experimental results show that the accuracy of UAV fault diagnosis under multi-action flight reaches 98.81%, which verify the effectiveness of the proposed method. © 2023 IEEE.

关键词： Failure analysis

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Design of intelligent Knowledge Service Platform for High-speed Railway 7

Design of Intelligent Knowledge Service Platform for High-sp...

引用

7th international Conference on Artificial Intelligence and Big data (ICAIBD)

作者： Xia, Wanjun Li, Tianrui Southwest Jiaotong Univ Sch Comp & Artificial Intelligence Chengdu Peoples R China

ISBN: (纸本)9798350385113;9798350385106

In the era of big data, intelligent technologies have ushered in innovative knowledge service paradigms. through the utilization of cutting-edge technologies, such as knowledge representation, semantic association, deep learning, and cognitive computing, scientific and technological information service platforms are undergoing a rapid evolution towards greater specialization and intellectualization. this paper outlines the design and development of an intelligent knowledge service platform tailored for high-speed railways. this platform efficiently integrates, statistically analyzes, mines, and organizes vast multi-source data resources pertaining to high-speed rail. It possesses the capacity to undertake comprehensive, interdisciplinary, strategic, forward-looking, and predictive scientific and technological decision-making and research initiatives, thereby providing professional, personalized, and precise knowledge services that align with the demands of engineering technology decision-making and scientific research.

关键词： high-speed railway knowledge service platform knowledge graph data mining artificial intelligence

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An intelligent Based IoT System to Predict Proactive Paroxysms Using EDA Sensor 7

An Intelligent Based IoT System to Predict Proactive Paroxys...

引用

7th international Conference on Devices, Circuits and Systems (ICDCS)

作者： Sandeep, Raghav P. Elavarasi, K. Raj, Praveen S. IFET Coll Engn Dept Informat Technol Villupuram Tamilnadu India

ISBN: (数字)9798350350470

ISBN: (纸本)9798350350470;9798350350487

the widespread use of smartphones, tablets, and other electronic gadgets has made them essential to daily life in the current era of communication and technology. the Internet of things (IoT) is a rapidly developing paradigm for the linked world that links gadgets, sensors, appliances, cars, and other things. this research presents an intelligent Internet of things system that uses Electrodermal Activity (EDA) sensors to forecast paroxysms proactively. the technology uses machine learning methods to combine EDA sensor data with real-time prediction of cardiac events and other health problems. the suggested system presents a promising method to remote health monitoring and early intervention through data analysis and continuous monitoring, with the potential to improve patient outcomes and save lives.

关键词： Smartphones Internet of things (IoT) Electrodermal Activity (EDA) sensors and Machine learning

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Research on the Model of intelligent Judgment of Abnormal Line Loss in Power System Technology Loss Reduction Simulation Based on data Fusion 7

Research on the Model of Intelligent Judgment of Abnormal Li...

引用

7th international Conference on Automation Electronics and Electrical Engineering

作者： Shen, Yuanchen Wang, Wei State Grid Rugao Power Supply Co Rugao Peoples R China

ISBN: (纸本)9798350377040;9798350377033

this paper proposes an intelligent judgment model of abnormal line loss in power system technology loss reduction simulation based on data fusion. the model integrates different types of sensor data to realize real-time monitoring and intelligent judgment of power system line loss. First, a multi-level data fusion framework based on sensor data and power load data is designed to effectively integrate data from different sources, eliminate noise influence, and improve detection accuracy. then, intelligent algorithms such as SVM and DT are used to process and analyze the fused data, to realize early warning of abnormal line loss and optimization of technical loss reduction scheme. the simulation results show that the system can accurately detect abnormal line loss under different power load scenarios, and show high stability and accuracy. In the actual power system, the system's recognition accuracy of abnormal line loss reaches more than 95%, and it can still maintain an accuracy of more than 90% under load fluctuation and noise interference conditions. the data analysis system provides a scientific basis for power operation and maintenance personnel, which can effectively reduce the operating cost of the power system and improve the reliability and safety of the system.

关键词： data fusion power system technical loss reduction line loss detection

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Research on real-time data processing system combining edge computing and artificial intelligence 7

Research on real-time data processing system combining edge ...

引用

7th international Conference on Automation Electronics and Electrical Engineering

作者： Huangfu, Hancong China Southern Power Gird Guangdong Power Grid Foshan Power Supply Bur Foshan Peoples R China

ISBN: (数字)9798350377033

ISBN: (纸本)9798350377040;9798350377033

With the exponential growth of Internet of things (IoT) devices, vast amounts of diverse data require real-time processing. However, traditional cloud computing approaches often struggle to meet these demands due to issues related to latency and bandwidth constraints. As an emerging computing paradigm, edge computing significantly reduces data transmission latency and improves processing efficiency. In this paper, a real-time data processing system combining edge computing is proposed to realize efficient processing and intelligent analysis of distributed data. Firstly, this paper systematically analyzes the potential advantages and challenges of edge computing and artificial intelligence in real-time data processing, and designs a system architecture that integrates them. the architecture consists of four main modules: data acquisition, edge processing, intelligent analysis and feedback control, aiming to realize real-time data processing with low latency and high performance. Specifically, edge devices perform preliminary data screening and pre-processing by deploying lightweight artificial intelligence algorithms;then, the optimized deep learning model performs complex data analysis and prediction on the edge nodes;Finally, the processing results are fed back to the data source in time to achieve closed-loop control. Compared with the traditional cloud computing model, the system combining edge computing and artificial intelligence shows significant advantages in terms of latency, bandwidth utilization and processing throughput.

关键词： IoT edge computing bandwidth utilization closed loop control

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