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Titlebook: Crowd-Powered Mobile Computing and Smart Things; Seng W. Loke Book 2017 The Author(s) 2017 mobile computing.pervasive computing.crowd comp

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发表于 2025-3-21 19:48:56 | 显示全部楼层 |阅读模式
书目名称Crowd-Powered Mobile Computing and Smart Things
编辑Seng W. Loke
视频video
概述Includes supplementary material:
丛书名称SpringerBriefs in Computer Science
图书封面Titlebook: Crowd-Powered Mobile Computing and Smart Things;  Seng W. Loke Book 2017 The Author(s) 2017 mobile computing.pervasive computing.crowd comp
描述This SpringerBrief provides a synergistic overview of technology trends by emphasizing five linked perspectives: crowd+cloud machines, extreme cooperation with smart things, scalable context-awareness, drone services for mobile crowds and social links in mobile crowds. The authors also highlight issues and challenges at the intersection of these trends. .Topics covered include cloud computing, Internet of Things, mobile and wearable computing, crowd computing, the culture of thing sharing, collective computing, and swarm dynamics. The brief is a useful resource and a starting point for researchers, students or anyone interested in the contemporary computing landscape..
出版日期Book 2017
关键词mobile computing; pervasive computing; crowd computing; cloud computing; Internet of Things; mobile cloud
版次1
doihttps://doi.org/10.1007/978-3-319-54436-6
isbn_softcover978-3-319-54435-9
isbn_ebook978-3-319-54436-6Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2017
The information of publication is updating

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Scalable Context-Awareness,ware mobile computing [1, 7], a mobile device is made aware of the current context of the user, including the circumstances or the surroundings as well as the user’s activity on the phone, or the phone’s current state (e.g., battery level, device properties and so on), and can take action based on s
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Drone Services for Mobile Crowds, drones, so that while regulations and drone protection measures (protecting drones and protecting people from drones) are being investigated, practical applications are being developed, from product delivery, disaster assessment and recovery, art and exergaming [7] to self-driving cars guided by dr
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Conclusion and Future Work,ve computing, and swarm dynamics, this book has attempted to focus on five ideas, namely, crowd+cloud machines, extreme cooperation with smart things, scalable context-awareness, drone services for mobile crowds and social links in (mobile) crowds. We have not been exhaustive in our exploration of t
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Exploring Terabyte Archives in Astronomy data analysis techniques has been employed to process sensor data in order to learn to recognise activities—recently, Deep Convolutional Neural Networks have been employed achieving accuracy in recognition of up to 97–99% [5].
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The Gemini Multi-Object Spectrographs, between all types of mobile devices, including smart vehicles and smart drones, e.g., vehicle-to-vehicle, vehicle-to-pedestrian, pedestrian-to-pedestrian, vehicle-to-bicycle, bicycle-to-bicycle, drone-to-vehicle, drone-to-drone, drone-to-pedestrian, and so on. Over such a networked mesh of devices
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