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IF 23.2 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-04-22 DOI: 10.1109/JPROC.2025.3556592

引用次数: 0

Is Trust Misplaced? A Zero-Trust Survey 信任错位了吗？零信任调查

IF 20.6 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-04-21 DOI: 10.1109/jproc.2025.3555131

Alexandre Poirrier, Laurent Cailleux, Thomas Heide Clausen

引用次数: 0

Reactive Power Implications of Penetrating Inverter-Based Renewable and Storage Resources in Future Grids Toward Energy Transition—A Review 无功功率穿透基于逆变器的可再生能源和存储资源对未来电网能源转型的影响综述

IF 20.6 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-04-18 DOI: 10.1109/jproc.2025.3555509

Hedayat Saboori, Hesam Pishbahar, Shahab Dehghan, Goran Strbac, Nima Amjady, Damir Novosel, Vladimir Terzija

引用次数: 0

A Tutorial on Distributed Optimization for Cooperative Robotics: From Setups and Algorithms to Toolboxes and Research Directions 协作机器人的分布式优化教程：从设置和算法到工具箱和研究方向

IF 20.6 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-04-18 DOI: 10.1109/jproc.2025.3557698

Andrea Testa, Guido Carnevale, Giuseppe Notarstefano

引用次数: 0

Learning Power Flow Models and Constraints From Time-Synchronized Measurements: A Review 从时间同步测量中学习潮流模型和约束：综述

IF 23.2 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-03-19 DOI: 10.1109/JPROC.2025.3548935

Rahul K. Gupta;Paolo Attilio Pegoraro;Ognjen Stanojev;Ali Abur;Carlo Muscas;Gabriela Hug;Mario Paolone

{"title":"Learning Power Flow Models and Constraints From Time-Synchronized Measurements: A Review","authors":"Rahul K. Gupta;Paolo Attilio Pegoraro;Ognjen Stanojev;Ali Abur;Carlo Muscas;Gabriela Hug;Mario Paolone","doi":"10.1109/JPROC.2025.3548935","DOIUrl":"10.1109/JPROC.2025.3548935","url":null,"abstract":"Key operational and protection functions of power systems (e.g., optimal power flow scheduling and control, state estimation (SE), protection, and fault location) rely on the availability of models to represent the system’s behavior under different operating conditions. Power system models require knowledge of the components’ electrical parameters and the system topology. However, these data may be inaccurate for several reasons (e.g., inaccurate information of components datasheets and/or outdated topological information). The deployment of time synchronization in phasor measurement units (PMUs) and remote terminal units (RTUs) enables the collection of large datasets of synchronized measurements to infer power system models and learn associated power flow constraints. Within this context, this article presents a comprehensive review of measurement-based estimation methods for power flow models using time-synchronized measurements. It begins by exploring advancements in time dissemination technologies and the characterization of uncertainties in PMUs and instrument transformers (ITs), along with their implications for parameter estimation. This article then examines the power system parameter estimation problem, highlighting key techniques and methodologies. In the following, this article focuses on measurement models for state-independent power flow model estimation, including line parameters, admittance matrices, topology, and joint state-parameter estimation. Finally, this article discusses recent approaches for estimating state-dependent power flow models, with particular reference to linearized power flow approximations because of their large use in control applications.","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":"112 12","pages":"1799-1830"},"PeriodicalIF":23.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143661417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G 通用人工智能(AGI)-原生无线系统：超越6G的旅程

IF 20.6 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-03-17 DOI: 10.1109/jproc.2025.3526887

Walid Saad, Omar Hashash, Christo Kurisummoottil Thomas, Christina Chaccour, Mérouane Debbah, Narayan Mandayam, Zhu Han

引用次数: 0

Uncrewed Vehicles in 6G Networks: A Unifying Treatment of Problems, Formulations, and Tools 6G网络中的无人驾驶车辆：问题、公式和工具的统一处理

IF 20.6 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-03-12 DOI: 10.1109/jproc.2025.3541949

Winston Hurst, Spilios Evmorfos, Athina Petropulu, Yasamin Mostofi

引用次数: 0

Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection 智能手机数据的数字表型和特征提取用于抑郁症检测

IF 23.2 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-03-06 DOI: 10.1109/JPROC.2025.3542324

Minqiang Yang;Edith C. H. Ngai;Xiping Hu;Bin Hu;Jiangchuan Liu;Erol Gelenbe;Victor C. M. Leung

{"title":"Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection","authors":"Minqiang Yang;Edith C. H. Ngai;Xiping Hu;Bin Hu;Jiangchuan Liu;Erol Gelenbe;Victor C. M. Leung","doi":"10.1109/JPROC.2025.3542324","DOIUrl":"10.1109/JPROC.2025.3542324","url":null,"abstract":"Smartphones are widely used as portable data collectors for wearable and healthcare sensors that can passively collect data streams related to the environment, health status, and behaviors. Recent research shows that the collected data can be used to monitor not only the physical states but also the mental health of individuals. However, extracting the features of digital phenotypes that characterize major depressive disorder (MDD) is technically challenging and may raise significant privacy concerns. Addressing such challenges has become the focus of many researchers. This article provides a comprehensive analysis of several key issues related to ubiquitous sensing to aid in detecting MDD. Specifically, this article analyzes existing methodologies and feature extraction algorithms used to detect possible MDD through digital phenotyping from smartphone data. In particular, five types of features are summarized and explained, namely, location, movement, rhythm, sleep, and social and device usage. Finally, related limitations and challenges are discussed to provide paths for further research and engineering.","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":"112 12","pages":"1773-1798"},"PeriodicalIF":23.2,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10915577","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143569759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Proceedings of the IEEE: Stay Informed. Become Inspired. IEEE会刊：保持信息灵通。成为灵感。

IF 23.2 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-02-04 DOI: 10.1109/JPROC.2025.3528152

引用次数: 0

IEEE Connects You to a Universe of Information IEEE将你连接到信息的宇宙

IF 23.2 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-02-04 DOI: 10.1109/JPROC.2025.3530306

引用次数: 0