AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2025

Cao, J.; Zhou, M.; Wang, J.; Liu, G.; Niyato, D.; Mao, S.; Han, Z.; Kang, J.

A Unified Framework for Underwater Metaverse with Optical Perception Journal Article

In: IEEE Wireless Communications, vol. 32, no. 3, pp. 220–231, 2025, ISSN: 15361284 (ISSN), (Publisher: Institute of Electrical and Electronics Engineers Inc.).

Abstract | Links | BibTeX | Tags: AI Technologies, Deep sea exploration, Imaging technology, Marine conservations, Metaverses, Optical-, Quantum imaging, Underwater environments, Unified framework, Virtual reality system

@article{cao_unified_2025,

title = {A Unified Framework for Underwater Metaverse with Optical Perception},

author = {J. Cao and M. Zhou and J. Wang and G. Liu and D. Niyato and S. Mao and Z. Han and J. Kang},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105006878504&doi=10.1109%2FMWC.006.2400050&partnerID=40&md5=6091264c581faa5f1349483d889ebb3e},

doi = {10.1109/MWC.006.2400050},

issn = {15361284 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {IEEE Wireless Communications},

volume = {32},

number = {3},

pages = {220–231},

abstract = {With the advancement of AI technology and increasing attention to deep-sea exploration, the underwater Metaverse is gradually emerging. This article explores the concept of underwater Metaverse, emerging virtual reality systems, and services aimed at simulating and enhancing the virtual experience of marine environments. First, we discuss potential applications of underwater Metaverse in underwater scientific research and marine conservation. Next, we design the architecture and highlight the corresponding design requirements. Then, we present the characteristics of different underwater imaging technologies, such as underwater acoustic imaging, underwater radio imaging, and underwater quantum imaging, in the supporting technologies of the underwater Metaverse. Quantum imaging (QI) technology is suitable for extremely low-light underwater environments, improving the precision and efficiency of underwater imaging. Based on this, we present a use case for building a realistic underwater virtual world using underwater quantum imaging-generative artificial intelligence (QI-GenAI) technology. The results demonstrate the effectiveness of the underwater Metaverse framework in simulating complex underwater environments, thus validating its potential to provide high-quality, interactive underwater virtual experiences. Finally, the article examines important future research directions of underwater Metaverse and provides new perspectives for marine science and conservation. © 2025 Elsevier B.V., All rights reserved.},

note = {Publisher: Institute of Electrical and Electronics Engineers Inc.},

keywords = {AI Technologies, Deep sea exploration, Imaging technology, Marine conservations, Metaverses, Optical-, Quantum imaging, Underwater environments, Unified framework, Virtual reality system},

pubstate = {published},

tppubtype = {article}

}

Furukawa, O.

Implementation of Voice-Controlled Remote Measurements via Metaverse using Automatic Speech Recognition Journal Article

In: IEEJ Transactions on Fundamentals and Materials, vol. 145, no. 10, pp. 294–300, 2025, ISSN: 03854205 (ISSN); 13475533 (ISSN), (Publisher: Institute of Electrical Engineers of Japan).

Abstract | Links | BibTeX | Tags: Automatic speech recognition, digital twin, Fiber Sensor, Language Model, Large language model, Measurement system, Measurements instruments, Metaverse, Metaverses, optical fiber sensor, Optical-, Recognition methods, Remote measurement, Speech communication, Speech recognition

@article{furukawa_implementation_2025,

title = {Implementation of Voice-Controlled Remote Measurements via Metaverse using Automatic Speech Recognition},

author = {O. Furukawa},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017845175&doi=10.1541%2Fieejfms.145.294&partnerID=40&md5=53e5584cc5d71588ca02c5ec820addd1},

doi = {10.1541/ieejfms.145.294},

issn = {03854205 (ISSN); 13475533 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {IEEJ Transactions on Fundamentals and Materials},

volume = {145},

number = {10},

pages = {294–300},

abstract = {Research on the three-dimensional virtual space “metaverse” is being actively conducted. The metaverse allows communication between distant “people” through voice and/or gestures. Applying the metaverse to distant “objects” is expected to bring industrial innovation. The industrial metaverse can be implemented in remote measurement systems. In previous research, we successfully controlled a measurement instrument using voice control via the metaverse. However, appropriate automatic speech recognition methods for metaverse measurement instruments have not been explored. In this study, we investigate the performance of representative automatic speech recognition methods that use deep neural networks, including Google Speech-to-Text and Faster-Whisper, an end-to-end generative pretrained transformer. In the case of dedicated control commands with the prefix, high performance was achieved with an average word error rate of 2%. Based on the results, we developed a measurement system and successfully demonstrated that it is possible to control measurement instruments in remote sites via the metaverse. © 2025 Elsevier B.V., All rights reserved.},

note = {Publisher: Institute of Electrical Engineers of Japan},

keywords = {Automatic speech recognition, digital twin, Fiber Sensor, Language Model, Large language model, Measurement system, Measurements instruments, Metaverse, Metaverses, optical fiber sensor, Optical-, Recognition methods, Remote measurement, Speech communication, Speech recognition},

pubstate = {published},

tppubtype = {article}

}