eprintid: 2059
rev_number: 17
eprint_status: archive
userid: 319
dir: disk0/00/00/20/59
datestamp: 2016-12-03 06:59:18
lastmod: 2016-12-03 06:59:18
status_changed: 2016-12-03 06:59:18
type: conference_item
metadata_visibility: show
creators_name: Le, Minh Khoi
creators_name: Chang, Hsien-Tsung
creators_name: Chang, Yi-Min
creators_name: Hu, Yi-Hao
creators_name: Chen, Huan-Ting
creators_id: khoilm@widelab.org
creators_id: smallpig@widelab.org
creators_id: xboxhigh@widelab.org
creators_id: a02284989@widelab.org
creators_id: B9829006@widelab.org
title: An efficient multilevel healthy cloud system using Spark for smart clothes
ispublished: inpress
subjects: IT
divisions: fac_fit
keywords: cloud database; smart clothes;  Spark;
abstract: Nowadays, we can find part of people into the suboptimal health status. However, most of them have not enough time for health examinations regularly. Smart clothes which are wearable and convenient devices for monitoring physiological signals solve this problem. In this study, we develop an efficient multilevel healthy cloud system to analyzing data collected from CGU smart clothes. The cloud system classifies the raw data into three types: normal data, continuous data, and multimedia data. After that, the cloud system analyzes data and predict diseases using Apache Spark. And then, the system will transfer final results to smartphones. The experimental result shows that the cloud system achieves very high-speed performance. Moreover, the system has friendly health information presentation and effective authorization process to help doctors and patients contact each other.
date: 2016-12-20
date_type: published
contact_email: khoilm@widelab.org
full_text_status: restricted
pres_type: paper
event_title: 2016 International Computer Symposium
event_location: Chiayi, Taiwan
event_dates: 15-17 December 2016
event_type: conference
refereed: TRUE
referencetext: [1] Carmen C. Y. Poon, Qing Liu, Hui Gao, Wan-Hua Lin, and Yuan-Ting Zhang, ”Wearable Intelligent Systems for E-health,” Journal of Computing Science and Engineering, vol. 5, no. 3, pp. 246-256, Sep. 2011

[2] Marie Chan, Daniel Est`eve, Jean-Yves Fourniols, Christophe Escriba, and Eric Campo, ”Smart wearable systems: Current status and future challenges,” Artificial Intelligence in Medicine, vol. 56, no. 3, pp. 137-156, Nov. 2012

[3] Jaewoon Lee, Dongho Kim, Han-Young Ryoo and Byeong-
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[4] Yung-Cheng Ma, Yi-Ping Chao, and Tzung-You Tsai, ”Smartclothes - Prototyping of a health monitoring platform,” in Proc. IEEE Third Int. Conf. on Consumer Electronics, Berlin, 2013, pp. 60-63

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[7] A.J. Martin, ”Sensors and computing systems in smart clothing,” in Smart Clothes and Wearable Technology, 2009, pp. 183-204

[8] P. Lam, ”The application of communication technologies in smart clothing,” in Smart Clothes and Wearable Technology, 2009, pp. 205213

[9] Mao Aihua, Luo Jie, Li Guiqing, and Li Yi, ”Numerical simulation of multiscale heat and moisture transfer in the thermal smart clothing system,” Applied Mathematical Modelling, vol.40, no. 4, pp. 3342-3364, Feb. 2016

[10] Tzung-You Tsai, Kun-Ming You, Yung-Cheng Ma, and Yi-
Ping Chao, ”CGU smart clothes platform - Development of a
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[11] ”Apache Spark - Lightning-Fast Cluster Computing,” Internet: http://spark.apache.org/
funders: Ministry of Science and Technology, Republic of China
citation:   Le, Minh Khoi and Chang, Hsien-Tsung and Chang, Yi-Min and Hu, Yi-Hao and Chen, Huan-Ting  (2016) An efficient multilevel healthy cloud system using Spark for smart clothes.  In: 2016 International Computer Symposium, 15-17 December 2016, Chiayi, Taiwan.    (In Press)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2059/1/ICS_An_efficient_multifunction_healthy_cloud_system_using_Spark_for_smart_clothes_camera.pdf