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A Phone-Based Distributed Ambient Temperature Measurement System With an Efficient Label-Free Automated Training Strategy
Hong Kong Polytech Univ, Res Inst Smart Energy, Int Ctr Urban Energy Nexus, Dept Bldg Environm & Energy Engn, Hong Kong, Peoples R China.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0001-5125-1860
Peking Univ, Sch Urban Planning & Design, Shenzhen 100871, Peoples R China .
Jilin Univ, Sch Artificial Intelligence, Changchun 130600, Peoples R China .ORCID iD: 0000-0003-4042-7888
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2024 (English)In: IEEE Transactions on Mobile Computing, ISSN 1536-1233, E-ISSN 1558-0660, Vol. 23, no 12, p. 11781-11793Article in journal (Refereed) Published
Abstract [en]

Enhancing the energy efficiency of buildings significantly relies on monitoring indoor ambient temperature. The potential limitations of conventional temperature measurement techniques, together with the omnipresence of smartphones, have redirected researchers' attention towards the exploration of phone-based ambient temperature estimation methods. However, existing phone-based methods face challenges such as insufficient privacy protection, difficulty in adapting models to various phones, and hurdles in obtaining enough labeled training data. In this study, we propose a distributed phone-based ambient temperature estimation system which enables collaboration among multiple phones to accurately measure the ambient temperature in different areas of an indoor space. This system also provides an efficient, cost-effective approach with a few-shot meta-learning module and an automated label generation module. It shows that with just 5 new training data points, the temperature estimation model can adapt to a new phone and reach a good performance. Moreover, the system uses crowdsourcing to generate accurate labels for all newly collected training data, significantly reducing costs. Additionally, we highlight the potential of incorporating federated learning into our system to enhance privacy protection. We believe this study can advance the practical application of phone-based ambient temperature measurement, facilitating energy-saving efforts in buildings.

Place, publisher, year, edition, pages
2024. Vol. 23, no 12, p. 11781-11793
National Category
Computer and Information Sciences
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URN: urn:nbn:se:mdh:diva-69507DOI: 10.1109/TMC.2024.3399843ISI: 001359244600167Scopus ID: 2-s2.0-85193209370OAI: oai:DiVA.org:mdh-69507DiVA, id: diva2:1920525
Available from: 2024-12-11 Created: 2024-12-11 Last updated: 2024-12-18Bibliographically approved

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Shi, XiaodanYan, Jinyue

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