EVALUATION OF BEHAVIOR ESTIMATION USING WARD'S METHOD IN MULTIFUNCTION OUTLET SYSTEM

Publications

Share / Export Citation / Email / Print / Text size:

International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

GET ALERTS

eISSN: 1178-5608

DESCRIPTION

5
Reader(s)
21
Visit(s)
0
Comment(s)
0
Share(s)

VOLUME 10 , ISSUE 4 (December 2017) > List of articles

EVALUATION OF BEHAVIOR ESTIMATION USING WARD'S METHOD IN MULTIFUNCTION OUTLET SYSTEM

Sho Kimura * / Toshihiko Sasama / Takao Kawamura / Kazunori Sugahara

Keywords : Wards method, Sensor Networks, HEMS

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 10, Issue 4, Pages 920-934, DOI: https://doi.org/10.21307/ijssis-2018-025

License : (BY-NC-ND 4.0)

Received Date : 05-August-2017 / Accepted: 12-November-2017 / Published Online: 01-December-2017

ARTICLE

ABSTRACT

Home Energy Management System (HEMS) is standard as a system for reducing power consumption in ordinary homes. The system prevents the users from forgetting to turn off home appliances. However the system is too simple to more reduce power consumption. Therefore we aim to reduce power consumption by figuring out a user's behavior to control home appliances. However to estimate user's behavior is difficult for the system. So we develop Multifunction Outlet System into a function to control home appliances. The function uses Ward's method which is an unsupervised learning for estimation of a user's behavior. In this paper, we evaluated a result of estimate of a user's behavior from sensor data by Ward's method.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

[1] Narayanan C Krishnan and Diane J Cook. "Activity recognition on streaming sensor data", Pervasive and mobile computing, 10, https://doi.org/10.1016/j.pmcj.2012.07.003, 138-154, Jul 2012.
[2] Filippo Palumbo et al. "Sensor network infrastructure for a home care monitoring system", Sensors, ISSN 1424-8220, 3833-3860, Feb 2014.
[3] Gina Sprint, Diane Cook, Roschelle Friz and Maureen Schmitter-Edgecombe. "Detecting Health and Behavior Change by Analyzing Smart Home Sensor Data", Smart Computing (SMARTCOMP), 2016 IEEE International Conference on, Electronic-ISBN: 978-1-5090-0898-8, May 2016.
[4] Muhammad Usman, Vallipuram Muthukkumarasamy and Xin-Wen Wu. "Mobile agent-based cross-layer anomaly detection in smart home sensor networks using fuzzy logic", IEEE Transactions on Consumer Electronics, 61-2, ISSN 0098-3063, 197-205, May 2015.
[5] Tracy S Barger, Donald E Brown and Majd Alwan. "Health-status monitoring through analysis of behavioral patterns", IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 35-1, ISSN 1083-4427, 22-27, Jan 2005.
[6] Takekazu Kato, Hyun Sang Cho, Dongwook Lee, Tetsuo Toyomura and Tatsuya Yamazaki. "Appliance Recognition from Electric Current Signals for Information-Energy Integrated Network in Home Environments", International Conference on Smart Homes and Health Telematics 2009, LNCS 5597, 150-157, Jul 2009.
[7] Ying-Xun Lai, Chin-Feng Lai, Yueh-Min Huang and Han-Chieh Chao. "Multi-appliance recognition system with hybrid SVM/GMM classifier in ubiquitous smart home", Information Sciences, 230, https://doi.org/10.1016/j.ins.2012.10.002 , 39-55, May 2013.
[8] Takashi Koiso, Ryusei Shingaki, Hideo Sakamoto, Shinya Umeno and Ken Ueno. "An Analysis for Behaviors Estimation of One Household by Using Environmental And Energy Consumption Sensors in a Home", IPSJ SIG Technical Report, 36, AA11838947, 1-8, Mar 2014.
[9] Wei-Ting Cho, Ying-Xun Lai, Chin-Feng Lai and Yueh-Min Huang. "Appliance-aware activity recognition mechanism for IoT energy management system", The Computer Journal, 56-8, https://doi.org/10.1093/comjnl/bxt047, 1020-1033, May 2013.
[10] Kazuya Murao, Tsutomu Terada, Ai Yano, and Ryuichi Matsukura. "Detecting room-to-room movement by passive infrared sensors in home environments", Proceedings of First Workshop on recent advances in behavior prediction and pro-active pervasive computing, June 2012.
[11] Toshihiko Sasama, Takao Kawamura and Kazunori Sugahara. "Multifunctional Electrical Outlet based on Mobile Ad Hoc Network", In: Proceedings of the International Conference on Embedded and Ubiquitous Computing (ICEUC 2011), 2359-2362, Nov 2011.
[12] Toshihiko Sasama, Shun Iwasaki, Takuya Okamoto, Kenichi Takahashi, Takao Kawamura and Kazunori Sugahara. "Sensor Data Classification for Indoor Situations Using the Multifunctional Outlet", IEEJ Transactions on Electronics, Information and Systems, 134-7, DOI 10.1541/ieejeiss.134.949, 949-955, Feb 2014.
[13] Shun Iwasaki, et al. "Sensor Data Analysis for Grouping of Room Condition using the Multifunctional Outlet" , Proceedings of Forum on Information Technology, 69-74,Dec 2013.
[14] Kenji Yuasa, et al, "Energy on Demand over SmartTap Network", TECHNICAL REPORT OF IEICE, 111-134, ISSN 0913-5685, 25-30, Jul 2011.
[15] Rasika S Ransing and Manita Rajput. "Smart home for elderly care, based on wireless sensor network", Proceedings of 2015 International Conference on Nascent Technologies in the Engineering Field, 978-1-4799-7263-0/15, 1-5, Jan 2015.
[16] Takanobu Otsuka, et al, "Prototyping and evaluation of a wireless sensor network system that aims easy installation", Joint Agent Workshop and Symposium 2012(2012), Oct 2012.
[17] Debraj Basu, Giovanni Moretti, Gourab Sen Gupta and Stephen Marsland. "Wireless sensor network based smart home: Sensor selection, deployment and monitoring". In: Sensors Applications Symposium (SAS), 2013 IEEE, ISBN 978-1-4673-4636-8, 49-54, Feb 2013.
[18] Shoko Nakamura, Akihito Hiromori, Hirozumi Yamaguchi, Teruo Higashino, Yohei Yamaguchi and Yoshiyuki Shimoda. "Activity Sensing, Analysis and Recommendation in Smarthouse", Proceedings of Multimedia, Distributed, Cooperative, and Mobile Symposium 2014, 1557-1566, Jul 2014.
[19] Zhenyu He and Lianwen Jin, "Activity recognition from acceleration data based on discrete consine transform and SVM" Systems, Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics, 978-1-4244-2793-2, 5041-5044, Oct 2009.
[20] Kazuki Moriya, Eri Nakagawa, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Aki Kimura, and Keiichi Yasumoto, "Daily living activity recognition with ECHONET Lite appliances and motion sensors", First International Workshop on Mobile and Pervasive Internet of Things'17, 978-1-5090-4338-5, 437-442, Mar 2017.
[21] Eri Nakagawa, Kazuki Moriya, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Toshiyuki Hatta, Shotaro Miwa and Keiichi Yasumoto, "Investigating recognition accuracy improvement by adding user’s acceleration data to location and power consumption-based in-home activity recognition system", Proceedings of MOBIQUITOUS 2016 Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services, ISBN 978-1-4503-4759-4/16/11, 100-105. Nov 2016.
[22] Kenki Ueda, Morihiko Tamai, Yutaka Arakawa, Hirohiko Suwa and Keiichi Yasumoto. "A Living Activity Recognition System Based on Power Consumption of Appliances and Inhabitant’s Location Information", IPSJ Transactions, ISSN 1882-7764, 57-2, 416-425, Feb 2016.
[23] https://www.digi.com/products/xbee-rf-solutions/2-4-ghz-modules/xbee-zigbee
[24] H. Ghayvat, A. Nag, N. K. Suryadevara, S.C. Mukhopadhyay, X. Gui and J. Liu, "Sharing Research Experiences of WSN Based Smart Home" International Journal on Smart Sensing & Intelligent Systems, 7.4, ISSN 1178-5608, 1997-2013, Dec 2014.

EXTRA FILES

COMMENTS