IEEE Transactions on Consumer Electronics最新文献

Guest Editorial Split Learning in Consumer Electronics for Smart Cities: Theories, Tools, Applications and Challenges

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-12-13 DOI: 10.1109/TCE.2024.3422617

Amrit Mukherjee;Rudolf Vohnout;Amir H. Gandomi

{"title":"Guest Editorial Split Learning in Consumer Electronics for Smart Cities: Theories, Tools, Applications and Challenges","authors":"Amrit Mukherjee;Rudolf Vohnout;Amir H. Gandomi","doi":"10.1109/TCE.2024.3422617","DOIUrl":"https://doi.org/10.1109/TCE.2024.3422617","url":null,"abstract":"In the present fast-moving society, the Internet of Things (IoT) is transforming the way services are used in different industries. While it has many benefits, there are also considerable obstacles, especially in the areas of computing power, safety, and handling data. With the continuous evolution and importance of consumer electronics (CE) in smart cities, there is an increasing demand for sustainable and effective solutions to deal with challenges such as widespread sensing, advanced computing, prediction, monitoring, and data sharing. The artificial intelligence (AI) has emerged as a crucial component in the IoT environment, highlighting the need for energy-efficient CE in urban areas. The state of art methods are required to maximize resource usage and maintain high-quality services for smart systems in healthcare, transportation, AI-powered sensing (AIeS), and sustainable networks. The split learning is a technique for distributed deep learning, shows great potential as a solution for these CE applications. It can greatly reduce numerous obstacles linked with intelligent services in smart cities. The split learning enables the training of deep neural networks or split neural networks (SplitNN) using AIeS on various data sources. This method enables the secure and efficient processing of data without the requirement of directly sharing raw labeled data, which is crucial in industries like healthcare, finance, security, and surveillance where data privacy and security are vital. This guest editorial discusses and presents split learning methods in CE applications for smart cities. Using split learning, researchers and developers can develop creative solutions to address resource efficiency, data security, and service quality issues across different smart city sectors as presented further. As the IoT grows and changes, incorporating split learning into CE applications influences the platform for future smart cities.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"5814-5817"},"PeriodicalIF":4.3,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

IEEE Consumer Technology Society

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-12-13 DOI: 10.1109/TCE.2024.3493274

引用次数: 0

IEEE Consumer Technology Society Board of Governors 电气和电子工程师学会消费技术协会理事会

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-12-13 DOI: 10.1109/TCE.2024.3493276

引用次数: 0

Guest Editorial of the Special Section on Consumer Electronics in the Era of the Internet of Everything (IoE) and Massive Data

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-12-13 DOI: 10.1109/TCE.2024.3416153

Hui Xia;Feng Hong;Feng Li;Zhipeng Cai;Jiwei Zhang;Rui Chen

引用次数: 0

Guest Editorial of the Special Section on Secure Artificial Intelligence in 6G Consumer Electronics

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-12-13 DOI: 10.1109/TCE.2024.3447072

Shalli Rani;Celestine Iwendi;Syed Hassan Shah;Ali Kashif Bashir

{"title":"Guest Editorial of the Special Section on Secure Artificial Intelligence in 6G Consumer Electronics","authors":"Shalli Rani;Celestine Iwendi;Syed Hassan Shah;Ali Kashif Bashir","doi":"10.1109/TCE.2024.3447072","DOIUrl":"https://doi.org/10.1109/TCE.2024.3447072","url":null,"abstract":"Unmanned aerial vehicles (UAVs) with AI-enabled logistics are gradually demonstrating their special benefits for upcoming smart cities. However, current research on logistics UAV path planning fails to take into account the limits on UAV energy consumption, customer time windows, and the effects of wind direction and speed at the same time. As a result, we study how wind direction and speed affect UAV flight states, determine relevant parameters and how wind conditions affect them, and explore the logistics problem of UAV path planning that simultaneously takes into account the constraints on UAV energy consumption, customer time windows, and wind conditions [1]. The ubiquitous monitoring and intelligent control capabilities of the Internet of Things (IoT) are mainly dependent on inexpensive wireless sensors with low energy consumption. Nevertheless, remote terminals that are not covered by wireless can be connected to IoT networks using unmanned aerial vehicles (UAVs). With the help of this solution, IoT networks may reach a wider audience and have more options for control and monitoring. Notwithstanding this advantage, the UAV’s onboard battery has a modest capacity [2].","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"5698-5701"},"PeriodicalIF":4.3,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Metaverse and Digital Twins for Consumer Electronics 消费电子产品的元宇宙和数字双胞胎

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-12-13 DOI: 10.1109/TCE.2024.3411469

Zhihan Lyu;Jaime Lloret;Houbing Song;Wojciech Mazurczyk;Huihui Wang;James J. Park

引用次数: 0

Guest Editorial Advanced Learning Intelligence in Quantum-Enabled Consumer Applications

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-12-13 DOI: 10.1109/TCE.2024.3411822

Ashish Singh;Muhammad Khurram Khan;Abhinav Kumar

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Guest Editorial of the Special Section on Multimodal Data-Driven Decision-Making for Next-Generation Consumer Electronics

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-12-13 DOI: 10.1109/TCE.2024.3447281

Wei Wang;Shahid Mumtaz;Joe Xiang;Kai Fang;Tingting Wang

引用次数: 0

IEEE Consumer Technology Society Officers and Committee Chairs

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-12-13 DOI: 10.1109/TCE.2024.3493278

引用次数: 0

Guest Editorial of the Special Section on Digital Twin and Metaverse for Consumer Health (MCH)

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-12-13 DOI: 10.1109/TCE.2024.3415493

M. Shamim Hossain;Diana P. Tobón;Josu Bilbao;Abdulmotaleb El Saddik

引用次数: 0