WiFi-enabled Occupancy Monitoring in Smart Buildings with a Self-Adaptive Mechanism-Reference-Cited by-同舟云学术

WiFi-enabled Occupancy Monitoring in Smart Buildings with a Self-Adaptive Mechanism

Published:2023-03-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
language:
Short-container-title:

Author:

Salman Muhammad¹^ORCID,Soe Young-Duk¹^ORCID,Noh Youngtae²^ORCID

Affiliation:

1. Inha University, Incheon, Republic of Korea

2. KENTECH, Naju-si, Republic of Korea

Funder

National Research Foundation of Korea (NRF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555776.3577841

Reference18 articles.

1. BBC.com. 2020 . Everyday motion . Retrieved April 27, 2021 from https://tinyurl.com/2humk9u2 BBC.com. 2020. Everyday motion. Retrieved April 27, 2021 from https://tinyurl.com/2humk9u2

2. The human dimensions of energy use in buildings: A review;D'Oca Simona;Renewable and Sustainable Energy Reviews,2018

3. A density-based algorithm for discovering clusters in large spatial databases with noise;Ester Martin;Kdd,1996

4. dbscan: Fast density-based clustering with R;Hahsler Michael;Journal of Statistical Software,2019

5. Robert J Meyers , Eric D Williams , and H Scott Matthews . 2010. Scoping the potential of monitoring and control technologies to reduce energy use in homes. Energy and buildings 42, 5 ( 2010 ), 563--569. Robert J Meyers, Eric D Williams, and H Scott Matthews. 2010. Scoping the potential of monitoring and control technologies to reduce energy use in homes. Energy and buildings 42, 5 (2010), 563--569.

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