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检索条件"任意字段=IEEE Information Technology, Networking, Electronic and Automation Control Conference"

共 9200 条记录，以下是21-30 订阅

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IMCEC 2024 - ieee 6th Advanced information Management, Communicates, electronic and automation control conference

IMCEC 2024 - IEEE 6th Advanced Information Management, Commu...

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6th ieee Advanced information Management, Communicates, electronic and automation control conference, IMCEC 2024

ISBN: (纸本)9798350316520

The proceedings contain 370 papers. The topics discussed include: the lightweight improvement of YOLOv7-tiny and its application on defect detection;index t-SNE based on Neiderreit sequence initialized white shark optimizer;evaluation method of alternative benefit of energy storage in 220kV substation;application of national commercial cryptography algorithm for controlling operation system upgrade on android;research on detection and analysis of vibration signals based on fiber grating;interpolation algorithm for cylindrical ruled surfaces in multi-axis sawing;a method for low-voltage distribution network topology verification based on APAA and convolution kernel matching;integrating knowledge graphs for enhanced drilling accident retrieval and risk prediction in China's oil and gas industry;and smart outdoor thermal garment for menopausal women.

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Proceedings of 2019 ieee 3rd Advanced information Management, Communicates, electronic and automation control conference, IMCEC 2019

Proceedings of 2019 IEEE 3rd Advanced Information Management...

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3rd ieee Advanced information Management, Communicates, electronic and automation control conference, IMCEC 2019

ISBN: (纸本)9781728105130

The proceedings contain 400 papers. The topics discussed include: application of improved CST method in airfoil design of flying robot;a new power line communication system for power plant application;method to calculate and take control maximum speed of turbine expander of CAES after load rejection;study on submarine cable opening overvoltage modeling and its suppression technology;temporal and spatial changes of green space near urban areas based on remote sensing images;the reliability prediction of smart meters using weibull distribution based on fusion of least square estimation and maximum likelihood estimation;research on small UAV integrated navigation system based on fault detection and isolation algorithm;design and implementation of spacecraft network monitoring system based on SNMP;an improved intimacy-based epidemic algorithm in mobile social networks;and optimized scheduling of seawater pumping-storing/wind/solar hybrid power generating system.

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IMCEC 2022 - ieee 5th Advanced information Management, Communicates, electronic and automation control conference

IMCEC 2022 - IEEE 5th Advanced Information Management, Commu...

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5th ieee Advanced information Management, Communicates, electronic and automation control conference, IMCEC 2022

ISBN: (纸本)9781665479677

The proceedings contain 362 papers. The topics discussed include: fault prediction of phased array radar T/R components based on data mining - method study;model selection for phased array radar of fault prediction based on data mining;regional energy prediction model based on CDC model;a safe channel planning algorithm for unmanned boats for anti-mine tasks;an airborne conformal array beampattern optimization algorithm based on convex optimization;ship traffic prediction model for the lower reaches of Yangtze River based on discrete gray;a new security event correlation analysis engine based on rule-tree-matching;review of deep reinforcement learning;the keep-right-except-to-pass rule to solve traffic problems based on cellular automata model;hm-fer: hybrid attention mechanism integrate multiple scales for facial expression recognition;research on radio controlled improved explosive device and countermeasure;research on remote reproduction of standard time based on different time comparison methods;research on smart city management model based on cloud computing technology;and research on the principle and implementation of network attack in industrial control environment.

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Proceedings of 2018 2nd ieee Advanced information Management, Communicates, electronic and automation control conference, IMCEC 2018

Proceedings of 2018 2nd IEEE Advanced Information Management...

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2nd ieee Advanced information Management, Communicates, electronic and automation control conference, IMCEC 2018

ISBN: (纸本)9781538618035

The proceedings contain 555 papers. The topics discussed include: study on reliability sensitivity algorithm of small component thermal ignition device;robust tension control system of suture during coating process;a location and cluster-based MAC and routing protocol for wireless mesh networks;improvements of MQTT retain message storage mechanism;radiated electromagnetic disturbance for the DC trolley locomotive system in underground coal mines;design for automatic generation of spacecraft telemetry software code based on incremental model;staircase detection algorithm based on projection-histogram;a passenger flow monitoring method in Hongqiao hub area based on gridded Wi-Fi sniffing;a dynamic time warping based wake-up signal detection method for underwater acoustic communication networks;specific objective recognition based on convolutional neural network transfer learning;identification of shaft orbit based on the grey wolf optimizer and extreme learning machine;design and implementation of field bus device management system based on HART protocol;and assessment of power integrated energy efficiency for industrial enterprise users based on AHP-entropy Method.

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Proceedings of 2016 ieee Advanced information Management, Communicates, electronic and automation control conference, IMCEC 2016

Proceedings of 2016 IEEE Advanced Information Management, Co...

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2016 ieee Advanced information Management, Communicates, electronic and automation control conference, IMCEC 2016

ISBN: (纸本)9781467396127

The proceedings contain 417 papers. The topics discussed include: research on open domain named entity recognition based on Chinese query logs;error analysis about on-line icing-monitoring device based on weighing method;a hybrid TOAI AOA positioning method based on GDOP-weighted fusion and its accuracy analysis;research on reactive power compensation of grid connected system of DFIG based on RTDS;research on characteristics of ionospheric echo based on ocean;a constrained sparse representation approach for video anomaly detection;reliability and validity of the assessment of Parkinson gait using the u-shape electronic walkway;an improved support vector machine algorithm for blood cell segmentation from hyperspectral images;research of parallel dehazing using temporal coherence algorithm based on CUDA;an improved stochastic gradient constant modulus beam-forming algorithm;a robust weighted intersection algorithm for target localization using AOA measurements;Unit Commitment by Enhanced Adaptive Lagrangian relaxation with an improved unit substitution heuristic;high frequency radar observation of wind field over Beibu Gulf during typhoon Usagi;cerebral ASL, SPECT and MRI image registration, enhancing fusion and joint analysis system;prediction of short-term wind power in wind power plant based on BP-ANN;and cooperative control of DC grid power flow based on particle swarm optimization algorithm.

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Mitigating DDoS Attacks in Software-Defined Networks (SDN) Using Machine Learning Techniques 3

Mitigating DDoS Attacks in Software-Defined Networks (SDN) U...

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3rd ieee International conference on automation and Computation, AUTOCOM 2025

作者： Adhikary, Dibya Ranjan Das Baxi, Paramjit Sevukamoorthy, Lakshmi Annadevi, E. Yadav, Dhananjay Kumar Garg, Prateek Centre for Internet of Things Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India

ISBN: (纸本)9798331542375

SDN stands for Software Defined Network, which describes a new way of network architecture that separates the control plane from the data plane and thus brings centralized control and programmability over the áreas of networking. This centralized-controlled feature gave SDN the advantage that DDoS attacks can crash the network, causing it to be non-functional. In the traditional DDoS mitigation techniques, rate limiting and traffic filtering are highly common;SDN is a dynamic network that changes rapidly, and such practices cannot eliminate DDoS attacks efficiently. One possible solution to this problem is employing machine learning methods to detect and prevent DDoS attacks in SDN. These methods utilize the capturing of network traffic and performance metrics from different components, such as SDN switches and controllers, to build machine learning models by training them. It can accurately detect and identify DDoS attacks based on patterns and anomalies in network traffic after those models have been trained. Integration of Machine Learning-based DDoS Mitigation Techniques in Software-Defined Networks can help Operators protect their networks from DDoS attacks proactively and effectively. © 2025 ieee.

关键词： Internet

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Highly Reliable information Interaction and Sharing Based on Distributed Collaboration Communication 26

Highly Reliable Information Interaction and Sharing Based on...

引用

26th International conference on Industrial technology, ICIT 2025

作者： Xu, Mingxuan Song, Haifeng Wu, Shourong Zhou, Min Dong, Hairong School of Automation and Intelligence Beijing Jiaotong University Beijing100044 China School of Electronic and Information Engineering Beihang University Beijing100191 China Institute of Computing Technology China Academy of Railway Sciences Corporation Limited Beijing10081 China Design Institute of Signal & Communication Beijing National Railway Research Beijing100070 China School of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao266590 China

ISBN: (纸本)9798331521950

To improve the operational efficiency and reliability of high-speed trains (HSTs), the Automatic Train control System has received considerable attention. Train-to-Train (T2T) communication is one of the critical technologies for autonomous train operation. However, the development of T2T communication technology still faces many challenges, particularly regarding communication distance limitations and reliability issues. To address these challenges, this paper introduces an innovative T2T collaborative communication model for HSTs, focusing on highly reliable information interaction and sharing in distributed collaboration environments. The model employs dynamic and static nodes to enable direct T2T information exchange. Using formal verification and state space analysis to ensure the system's reliability and performance. A Build-in-Test (BIT) mechanism is implemented for fault detection and isolation, enhancing the reliability of the system. By analyzing the performance indicators of the system in different scenarios, the reliability of the system was verified. © 2025 ieee.

关键词： Signaling

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Enhancing Epidemic Early Warning Systems with Social Media Data

Enhancing Epidemic Early Warning Systems with Social Media D...

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2025 International conference on control, automation, and Instrumentation, IC2AI 2025

作者： Kashmar, Nadine Ozdemir, Deniz Yousuf, Iman Dabboussi, Abdul Hamid Saab, Antonie Salem-Sokhn, Elie El Morr, Christo Informatique et Génie Université du Québec à Département de Mathématiques Rimouski Canada York University Department of Psychology Toronto Canada School of Information Technology York University Toronto Canada Lassonde School of Engineering York University Toronto Canada Lebanese Hospital Geitaoui Quality and Safety Department Beirut Lebanon Beirut Arab University Medical Laboratory Department Beirut Lebanon School of Health Policy and Management York University Toronto Canada

ISBN: (纸本)9798331529604

Early warning systems (EWS) play a crucial role in controlling the spread of infectious diseases. This study focused on the integration of social media data within artificial intelligence (AI)-based EWS for improved disease detection and monitoring. We conducted a scoping review to analyze the use of social media data in conjunction with AI-based EWS, aiming to identify the benefits, challenges, and key considerations for developing such systems. Our review examined various studies that employed machine learning models to analyze social media data for public health surveillance. The findings highlight the potential of social media data in enhancing the accuracy, efficiency, and responsiveness of EWS, enabling earlier detection of disease outbreaks and facilitating timely public health interventions. This review provides valuable insights for practitioners, researchers, and policymakers on the integration of social media data within AI-based EWS, contributing to the design and implementation of effective public health surveillance systems. © 2025 ieee.

关键词： electronic health record

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Optical Cross-Connect Technologies for Flexible Optical Networks 3

Optical Cross-Connect Technologies for Flexible Optical Netw...

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3rd ieee International conference on automation and Computation, AUTOCOM 2025

作者： Aggarwal, Prateek Nanduri, Sireesha Poonguzhali, S. Singh, B.P. Aggarwal, Prateek Das, Satya Ranjan Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India

ISBN: (纸本)9798331542375

Various optical cross-connect technologies are being developed for flexible next-generation optical networks to ensure the efficiency of real-time optical network routing. Demand for larger bandwidth and faster data transmission continues to grow. Therefore, these networks are becoming more and more significant. Conventional optical cross-connects offer limited scalability, and they need to be more flexible by nature due to their traditional architecture, hindering fast adaptation to altering traffic patterns. A solution to this problem is the new OXC technologies, which allow dynamic and reconfigurable optical networks. These technologies use high-end optics and electronics, including wavelength-selective switches and coherent receivers, to offer routing and switching flexibility. One key benefit of flexible OXC technologies is that their capabilities to support different transmission formats and data rates cater well to specific service requisites. They also allow for greater implementation of software-defined networking principles, creating centralized control and management over the network. Moreover, flexible OXCs enable efficient tower best practices and O&M savings through reduced manual network intervention. © 2025 ieee.

关键词： Bandwidth

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AoI-Aware Sampling, Transmission, and Computation for Edge-Enabled control System

AoI-Aware Sampling, Transmission, and Computation for Edge-E...

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ieee conference on Wireless Communications and networking

作者： Mingan Luan Zheng Chang Jin Chi School of Computer Science and Engineering University of Electronic Science and Technology of China China Faculty of Information Technology University of Jyvaskyla Finland

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

In this paper, an age of information (AoI)-aware joint design framework of sampling, transmission, computation, and control is considered for industrial cyber-physical systems. To enhance the control performance, we investigate an edge-enabled control scheme, which allows a physical entity to select its sampling adaptively and processing strategies based on de-mand. By analyzing the impact of sampling and short-packet decoding errors, and the coupling relationship between control accuracy and AoI, the AoI -aware control metric is established. Subsequently, we formulate a joint sampling time, computation offloading, and bandwidth allocation optimization problem to minimize the system's control and energy costs. To tackle the formulated NP-hard problem, we develop a BCD-based algorithm leveraging convex and game theories to obtain a joint optimization strategy in an iterative manner. Finally, the performance of the proposed edge-enabled control scheme is verified in the simulation results.

关键词： Measurement Costs NP-hard problem Simulation Scalability Process control Cyber-physical systems Channel allocation control systems Optimization

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