@inproceedings{Sugizaki2024,

title = {Digital Twin Based Open Platform for IoT Offloading Control: Enabling System Transparency and User Participation},

author = {Yusuke Sugizaki and Jin Nakazato and Manabu Tsukada},

year  = {2024},

date = {2024-11-28},

booktitle = {International Conference on Intelligent Computing and its Emerging Applications (ICEA2024)},

address = {Tokyo, Japan},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Orsholits2024,

title = {PLATONE: An Immersive Geospatial Audio Spatialization Platform},

author = {Alex Orsholits and Yiyuan Qian and Eric Nardini and Yusuke Obuchi and Manabu Tsukada},

year  = {2024},

date = {2024-08-12},

booktitle = {The 2nd Annual IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom 2024)},

address = {Hong Kong, China},

abstract = {In the rapidly evolving landscape of mixed reality (MR) and spatial computing, the convergence of physical and virtual spaces is becoming increasingly crucial for enabling immersive, large-scale user experiences and shaping inter-reality dynamics. This is particularly significant for immersive audio at city-scale, where the 3D geometry of the environment must be considered, as it drastically influences how sound is perceived by the listener. This paper introduces PLATONE, a novel proof-of-concept MR platform designed to augment urban contexts with environment-dependent spatialized audio. It leverages custom hardware for localization and orientation, alongside a cloud-based pipeline for generating real-time binaural audio. By utilizing open-source 3D building datasets, sound propagation effects such as occlusion, reverberation, and diffraction are accurately simulated. We believe that this work may serve as a compelling foundation for further research and development.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Takada2024,

title = {Design of Digital Twin Architecture for 3D Audio Visualization in AR},

author = {Tokio Takada and Jin Nakazato and Alex Orsholits and Manabu Tsukada and Hideya Ochiai and Hiroshi Esaki},

year  = {2024},

date = {2024-08-12},

urldate = {2024-08-12},

booktitle = {The 2nd Annual IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom 2024)},

address = {Hong Kong, China},

abstract = {Digital twins have recently attracted attention from academia and industry as a technology connecting physical space and cyberspace. Digital twins are compatible with Augmented Reality (AR) and Virtual Reality (VR), enabling us to understand information in cyberspace. In this study, we focus on music and design an architecture for a 3D representation of music using a digital twin. Specifically, we organize the requirements for a digital twin for music and design the architecture. We establish a method to perform 3D representation in cyberspace and map the recorded audio data in physical space. In this paper, we implemented the physical space representation using a smartphone as an AR device and employed a visual positioning system (VPS) for self-positioning. For evaluation, in addition to system errors in the 3D representation of audio data, we conducted a questionnaire evaluation with several users as a user study. From these results, we evaluated the effectiveness of the implemented system. At the same time, we also found issues we need to improve in the implemented system in future works.},

key = {CREST},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Furuta2023,

title = {Web-Based BIM Platform for Building Digital Twin},

author = {Satoru Furuta and Jin Nakazato and Manabu Tsukada},

doi = {10.1109/DTPI59677.2023.10365476},

year  = {2023},

date = {2023-11-07},

urldate = {2023-11-07},

booktitle = {3rd Annual IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI 2023)},

address = {Florida, USA},

abstract = {Building digital twin (BDT) is utilized throughout the lifecycle of a building. It serves for efficient operations during the design and construction phases, and during the operational and maintenance phases, it’s used for asset management and as field maps for robots. Building Information Modeling (BIM), which contains both semantics and geometry data of building elements, holds promise as a data source for BDT. We have extracted four key technical challenges of the digital twin, particularly vital during the operational and maintenance phases: software, visualization, update, and real-scene reconstruction. Due to the exclusive and static nature of BIM, these challenges also pose significant issues in the context of BDT. To address these challenges, we designed and implemented a Web-based BIM platform. The implemented application shows not only geometry data but also semantics data, enables easy overlay with the latest indoor conditions, and provides updating functionality. The developed system is essential for the continuous operation of BDT in dynamic indoor environments. We evaluated the application through a questionnaire survey. },

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}