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Titlebook: Internet and Distributed Computing Systems; 9th International Co Wenfeng Li,Shawkat Ali,Qiang Wang Conference proceedings 2016 Springer Int

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发表于 2025-3-21 18:28:33 | 显示全部楼层 |阅读模式
书目名称Internet and Distributed Computing Systems
副标题9th International Co
编辑Wenfeng Li,Shawkat Ali,Qiang Wang
视频videohttp://file.papertrans.cn/473/472417/472417.mp4
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Internet and Distributed Computing Systems; 9th International Co Wenfeng Li,Shawkat Ali,Qiang Wang Conference proceedings 2016 Springer Int
描述This book constitutes the proceedings of the 9th International Conference on Internet and Distributed Computing Systems, IDCS 2016, held in Wuhan, China, in September 2016..The 30 full papers and 18 short papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections named: body sensor networks and wearable devices; cloud computing and networking; distributed computing and big data; distributed scheduling and optimization; internet of things and its application; smart networked transportation and logistics; and big data and social networks.
出版日期Conference proceedings 2016
关键词big data; cloud computing; internet of things; parallel computing; sensor networks; ant colony algorithm;
版次1
doihttps://doi.org/10.1007/978-3-319-45940-0
isbn_softcover978-3-319-45939-4
isbn_ebook978-3-319-45940-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2016
The information of publication is updating

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978-3-319-45939-4Springer International Publishing AG 2016
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Internet and Distributed Computing Systems978-3-319-45940-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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A New Modeling Method of Photoplethysmography Signal Based on Lognormal Basisnitor cardiovascular health in the daily life. The existing modeling methods are mainly based on Gaussian basis, which fail to conform to the long-tail features of PPG pulse waveforms. And other several existing methods based on Lognormal basis don’t work well in daily monitoring. In this paper, we
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A Neuro-Fuzzy System for Classifying Fatigue Degree of Wheelchair Usertended. However, fatigue detection for wheelchair users is still not explored widely. This paper proposes a complete system and approach to classify fatigue degree for manual wheelchair users. In our system, physiological and kinetic data are collected in terms of sEMG, ECG, and acceleration signals
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Detecting Novel Class for Sensor-Based Activity Recognition Using Reject Ruleata classification is concept evolution, namely, novel class detection. Learn++ group methods are normally employed for stream data, however, these methods hardly handle the novel class detection problem. Therefore, in this paper, we introduce an approach that combines Learn++.NSE with reject option
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