Metadata-Driven Innovation in Smart Offices: A Study on the Impact of Standards on Digital Twins and Indoor Positioning Systems
Authors: 
Khanista Namee, 
Nimit Srikamta, Sillawat Lelas, Jantima Polpinij, Rudsada Kaewsaeng-On, Chayapa Nimyungdee, Areej MenyAuthors Info & Claims
Abstract
This study investigates the refinement of metadata from various sources for optimal integration with digital twins, aiming to enhance its applicability in smart office environments through the Internet of Things (IoT) and digital twin technologies. By developing a systematic framework for hypothesis testing, the research evaluates the metadata's performance in real-time operational dynamics, specifically in indoor tracking of wireless devices to assess data transmission accuracy. The analysis, supported by a performance evaluation with five reference sensors, confirms the metadata's effectiveness in ensuring rapid and precise information retrieval. These findings highlight the potential of customized metadata to improve the efficiency and accuracy of digital twin applications in smart offices.
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- Metadata-Driven Innovation in Smart Offices: A Study on the Impact of Standards on Digital Twins and Indoor Positioning Systems
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Published In
May 2024
324 pages
ISBN:9798400716386
DOI:10.1145/3674558
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 August 2024
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- Refereed limited
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- King Mongkut's University of Technology North Bangkok
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ICCTA 2024
ICCTA 2024: 2024 10th International Conference on Computer Technology Applications
May 15 - 17, 2024
Vienna, Austria
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