Enhancing unity-based AR with optimal lossless compression for digital twin assets
The rapid development of Digital Twin (DT) technology has underlined challenges in resource-constrained mobile devices, especially in the application of extended realities (XR), which includes Augmented Reality (AR) and Virtual Reality (VR). These challenges lead to computational inefficiencies that...
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Public Library of Science
2024
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オンライン・アクセス: | http://umpir.ump.edu.my/id/eprint/43950/1/Enhancing%20unity-based%20AR%20with%20optimal%20lossless%20compression%20for%20digital%20twin%20assets.pdf http://umpir.ump.edu.my/id/eprint/43950/ https://doi.org/10.1371/journal.pone.0314691 https://doi.org/10.1371/journal.pone.0314691 |
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my.ump.umpir.439502025-02-28T09:07:33Z http://umpir.ump.edu.my/id/eprint/43950/ Enhancing unity-based AR with optimal lossless compression for digital twin assets Hlayel, Mohammed Hairulnizam, Mahdin Hayajneh, Mohammad AlDaajeh, Saleh H. Siti Salwani, Yaacob Mazidah, Mat Rejab QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) The rapid development of Digital Twin (DT) technology has underlined challenges in resource-constrained mobile devices, especially in the application of extended realities (XR), which includes Augmented Reality (AR) and Virtual Reality (VR). These challenges lead to computational inefficiencies that negatively impact user experience when dealing with sizeable 3D model assets. This article applies multiple lossless compression algorithms to improve the efficiency of digital twin asset delivery in Unity’s AssetBundle and Addressable asset management frameworks. In this study, an optimal model will be obtained that reduces both bundle size and time required in visualization, simultaneously reducing CPU and RAM usage on mobile devices. This study has assessed compression methods, such as LZ4, LZMA, Brotli, Fast LZ, and 7-Zip, among others, for their influence on AR performance. This study also creates mathematical models for predicting resource utilization, like RAM and CPU time, required by AR mobile applications. Experimental results show a detailed comparison among these compression algorithms, which can give insights and help choose the best method according to the compression ratio, decompression speed, and resource usage. It finally leads to more efficient implementations of AR digital twins on resource-constrained mobile platforms with greater flexibility in development and a better end-user experience. Our results show that LZ4 and Fast LZ perform best in speed and resource efficiency, especially with RAM caching. At the same time, 7-Zip/LZMA achieves the highest compression ratios at the cost of slower loading. Brotli emerged as a strong option for web-based AR/VR content, striking a balance between compression efficiency and decompression speed, outperforming Gzip in WebGL contexts. The Addressable Asset system with LZ4 offers the most efficient balance for real-time AR applications. This study will deliver practical guidance on optimal compression method selection to improve user experience and scalability for AR digital twin implementations. Public Library of Science 2024-12 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/43950/1/Enhancing%20unity-based%20AR%20with%20optimal%20lossless%20compression%20for%20digital%20twin%20assets.pdf Hlayel, Mohammed and Hairulnizam, Mahdin and Hayajneh, Mohammad and AlDaajeh, Saleh H. and Siti Salwani, Yaacob and Mazidah, Mat Rejab (2024) Enhancing unity-based AR with optimal lossless compression for digital twin assets. PLoS ONE, 19 (e0314691). pp. 1-35. ISSN 1932-6203. (Published) https://doi.org/10.1371/journal.pone.0314691 https://doi.org/10.1371/journal.pone.0314691 |
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QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Hlayel, Mohammed Hairulnizam, Mahdin Hayajneh, Mohammad AlDaajeh, Saleh H. Siti Salwani, Yaacob Mazidah, Mat Rejab Enhancing unity-based AR with optimal lossless compression for digital twin assets |
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The rapid development of Digital Twin (DT) technology has underlined challenges in resource-constrained mobile devices, especially in the application of extended realities (XR), which includes Augmented Reality (AR) and Virtual Reality (VR). These challenges lead to computational inefficiencies that negatively impact user experience when dealing with sizeable 3D model assets. This article applies multiple lossless compression algorithms to improve the efficiency of digital twin asset delivery in Unity’s AssetBundle and Addressable asset management frameworks. In this study, an optimal model will be obtained that reduces both bundle size and time required in visualization, simultaneously reducing CPU and RAM usage on mobile devices. This study has assessed compression methods, such as LZ4, LZMA, Brotli, Fast LZ, and 7-Zip, among others, for their influence on AR performance. This study also creates mathematical models for predicting resource utilization, like RAM and CPU time, required by AR mobile applications. Experimental results show a detailed comparison among these compression algorithms, which can give insights and help choose the best method according to the compression ratio, decompression speed, and resource usage. It finally leads to more efficient implementations of AR digital twins on resource-constrained mobile platforms with greater flexibility in development and a better end-user experience. Our results show that LZ4 and Fast LZ perform best in speed and resource efficiency, especially with RAM caching. At the same time, 7-Zip/LZMA achieves the highest compression ratios at the cost of slower loading. Brotli emerged as a strong option for web-based AR/VR content, striking a balance between compression efficiency and decompression speed, outperforming Gzip in WebGL contexts. The Addressable Asset system with LZ4 offers the most efficient balance for real-time AR applications. This study will deliver practical guidance on optimal compression method selection to improve user experience and scalability for AR digital twin implementations. |
format |
Article |
author |
Hlayel, Mohammed Hairulnizam, Mahdin Hayajneh, Mohammad AlDaajeh, Saleh H. Siti Salwani, Yaacob Mazidah, Mat Rejab |
author_facet |
Hlayel, Mohammed Hairulnizam, Mahdin Hayajneh, Mohammad AlDaajeh, Saleh H. Siti Salwani, Yaacob Mazidah, Mat Rejab |
author_sort |
Hlayel, Mohammed |
title |
Enhancing unity-based AR with optimal lossless compression for digital twin assets |
title_short |
Enhancing unity-based AR with optimal lossless compression for digital twin assets |
title_full |
Enhancing unity-based AR with optimal lossless compression for digital twin assets |
title_fullStr |
Enhancing unity-based AR with optimal lossless compression for digital twin assets |
title_full_unstemmed |
Enhancing unity-based AR with optimal lossless compression for digital twin assets |
title_sort |
enhancing unity-based ar with optimal lossless compression for digital twin assets |
publisher |
Public Library of Science |
publishDate |
2024 |
url |
http://umpir.ump.edu.my/id/eprint/43950/1/Enhancing%20unity-based%20AR%20with%20optimal%20lossless%20compression%20for%20digital%20twin%20assets.pdf http://umpir.ump.edu.my/id/eprint/43950/ https://doi.org/10.1371/journal.pone.0314691 https://doi.org/10.1371/journal.pone.0314691 |
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1827518421881847808 |
score |
13.251813 |