Titlebook: Edge Computing and IoT: Systems, Management and Security; Third EAI Internatio Zhu Xiao,Ping Zhao,Jinmei Shu Conference proceedings 2023 IC

桶去微染

Edge Computing and IoT: Systems, Management and Security978-3-031-28990-3Series ISSN 1867-8211 Series E-ISSN 1867-822X

palette

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engihttp://image.papertrans.cn/e/image/302228.jpg

Commission

embolus

https://doi.org/10.1007/978-1-4471-3011-6nd privacy issues. In this position paper, we leverage zero-knowledge proof and multichain technology to propose an efficient system for data transferring across different components. Each component may maintain a private chain storing its data, and the system acts as a relayer between different cha

草本植物

Rebecca Budde,Urszula Markowska-Manistag, and so on. These applications are usually delay-sensitive and energy intensive, which have strict delay constraints and need to consume a lot of computing resources. In order to ensure the quality of service of these applications, this study proposes a framework that combines task offloading and

cognizant

Iveta Silova,Zsuzsa Millei,Nelli Piattoevaused to make a vehicle can detect the position and movement of other vehicles up to a specified range, which plays a significant role in upcoming cellular networks is expected to reduce the traffic jam and accidents in social life. Based on the idea of Greedy algorithm, a method to find the partial

menopause

Adrienne E. Gavin,Andrew F. Humphriesing in construction area [.]. It can also used for auto-vehicle driving, object detection, and so on. Currently, there are several ways to realize this like FCN and YOLO. However, they all exist some limitation. For example, the bounding box of YOLO is always being castigated by the user. There are

aptitude

TRAWL

Highbrow

https://doi.org/10.1057/9780230505896lutions for energy saving and cost reduction. We propose a framework for industrial electricity consumption prediction and optimization based on multi-source information fusion named .. We design the electricity consumption prediction module by utilizing historical data, weather, and date info. Besi