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Shaping the Metaverse into Reality: A Holistic Multidisciplinary Understanding of Opportunities, Challenges, and Avenues for Future Investigation

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Data Processor for Better Business Education 2023年第3期63卷 735-765页

作者： Alex Koohang Jeretta Horn Nord Keng-Boon Ooi Garry Wei-Han Tan Mostafa Al-Emran Eugene Cheng-Xi Aw Abdullah Mohammed Baabdullah Dimitrios Buhalis Tat-Huei Cham Charles Dennis Vincent Dutot Yogesh K. Dwivedi Laurie Hughes Emmanuel Mogaji Neeraj Pandey Ian Phau Ramakrishnan Raman Anshuman Sharma Marianna Sigala Akiko Ueno Lai-Wan Wong a School of Computing Middle Georgia State University Macon GA USA b Department of Management Science and Information Systems Oklahoma State University Stillwater OK USA c UCSI Graduate Business School UCSI University Kuala Lumpur Malaysiad School of Finance and Economics Nanchang Institute of Technology Nanchang People’s Republic of Chinau Faculty of Business Design and Arts Swinburne University of Technology Sarawak Campus Malaysia c UCSI Graduate Business School UCSI University Kuala Lumpur Malaysiad School of Finance and Economics Nanchang Institute of Technology Nanchang People’s Republic of Chinae School of Economics and Management Yunnan Normal University Kunming People’s Republic of Chinau Faculty of Business Design and Arts Swinburne University of Technology Sarawak Campus Malaysia f Faculty of Engineering & IT The British University in Dubai Dubai United Arab Emiratesg Department of Computer Techniques Engineering Dijlah University College Baghdad Iraq c UCSI Graduate Business School UCSI University Kuala Lumpur Malaysia h Department of Management Information Systems Faculty of Economics and Administration King Abdulaziz University Jeddah Saudi Arabia i Department of Tourism and Hospitality Bournemouth University Poole UK c UCSI Graduate Business School UCSI University Kuala Lumpur Malaysiaj Tashkent State University of Economics Tashkent Uzbekistan k Business School Middlesex University London UK l EM Normandie Business School Métis Lab Clichy France m Digital Futures for Sustainable Business & Society Research Group School of Management Swansea University Swansea UKn Department of Management Symbiosis Institute of Business Management Pune & Symbiosis International (Deemed University) Pune India m Digital Futures for Sustainable Business & Society Research Group School of Management Swansea University Swansea UK o School of Management & Marketing University of Greenwich London UK p National Institute of Industrial Engineering Mum

ABSTRACTABSTRACTThe term metaverse is described as the next iteration of the Internet. Metaverse is a virtual platform that uses extended reality technologies, i.e. augmented reality, virtual reality, mixed reality, 3D graphics, and other emerging technologies to allow real-time interactions and experiences in ways that are not possible in the physical world. Companies have begun to notice the impact of the metaverse and how it may help maximize profits. The purpose of this paper is to offer perspectives on several important areas, i.e. marketing, tourism, manufacturing, operations management, education, the retailing industry, banking services, healthcare, and human resource management that are likely to be impacted by the adoption and use of a metaverse. Each includes an overview, opportunities, challenges, and a potential research agenda.

关键词： Metaverse marketing tourism hospitality manufacturing operations management education the retailing industry banking services healthcare human resource management

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Observation of an Optical Spring in a Robustly Controlled Signal-Recycled Michelson Interferometer

arXiv

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arXiv 2025年

作者： Suzuki, Kaido Harada, Ken-Ichi Iden, Ryo Otabe, Sotatsu Komori, Kentaro Michimura, Yuta Somiya, Kentaro Department of Physics Institute of Science Tokyo Meguro Tokyo152-8550 Japan Green Computing Systems Research Organization Waseda University 27 Waseda-cho Shinjuku-ku Tokyo162-0042 Japan Department of Physics University of Tokyo Bunkyo Tokyo113-0033 Japan Institute of Integrated Research Institute of Science Tokyo Kanagawa Yokohama226-8503 Japan Graduate School of Science University of Tokyo Bunkyo Tokyo113-0033 Japan WPI UTIAS University of Tokyo Chiba Kashiwa277-8568 Japan

This study presents the first demonstration of an optical spring effect in a signal-recycled Michelson interferometer without arm cavities. While previous observations of optical springs in a signal-recycled interferometer have relied on configurations incorporating arm cavities, no similar effect has yet been reported in a bare configuration. The experimental setup employs multiple laser fields, enabling stable and precisely controllable detuning, as well as a compliant suspension system comprising two double-spiral springs. These findings open possibilities for developing optical spring-enhanced interferometers utilizing intracavity amplification, a promising technique for enhancing the high-frequency sensitivity of next-generation gravitational-wave detection instruments. Copyright © 2025, The Authors. All rights reserved.

关键词： Michelson interferometers

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Systematic benchmarking of quantum computers: status and recommendations

arXiv

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arXiv 2025年

作者： Lorenz, Jeanette Miriam Monz, Thomas Eisert, Jens Reitzner, Daniel Schopfer, Félicien Barbaresco, Frédéric Kurowski, Krzysztof van der Schoot, Ward Strohm, Thomas Senellart, Jean Perrault, Cécile M. Knufinke, Martin Amodjee, Ziyad Giardini, Mattia Fraunhofer Institute for Cognitive Systems IKS Munich80686 Germany Ludwig-Maximilians-University Munich Munich80539 Germany Universität Innsbruck Institut für Experimentalphysik Technikerstrasse 25 Innsbruck6020 Austria Alpine Quantum Technologies GmbH Innsbruck6020 Austria Dahlem Center for Complex Quantum Systems Freie Universität Berlin Berlin14195 Germany Fraunhofer Heinrich Hertz Institute Berlin10587 Germany CyberSecurity Hub Šumavská 416/15 Brno602 00 Czech Republic Laboratoire national de métrologie et d’essais 29 avenue Roger Hennequin Trappes78190 France THALES 1 Av. Augustin Fresnel Palaiseau91120 France Poznan Supercomputing and Networking Center IBCH PAS Noskowskiego 12/14 Poznan61-704 Poland for applied scientific research The Hague Netherlands Robert Bosch GmbH Corporate Research RenningenD-71272 Germany Quandela 7 rue Léonard de Vinci Massy91400 France Alice & Bob 49 boulevard du general Martial Valin Paris75015 France Eviden science+computing AG Hagellocher Weg 73 Tübingen72070 Germany Laboratoire Charles Fabry Institut d’Optique Graduate School CNRS Universite Paris Saclay Palaiseau91127 France European Quantum Industry Consortium Leo-Brandt-Straße Jülich52428 Germany

Architectures for quantum computing can only be scaled up when they are accompanied by suitable benchmarking techniques. The document provides a comprehensive overview of the state and recommendations for systematic benchmarking of quantum computers. Benchmarking is crucial for assessing the performance of quantum computers, including the hardware, software, as well as algorithms and applications. The document highlights key aspects such as component-level, system-level, software-level, HPC-level, and application-level benchmarks. Component-level benchmarks focus on the performance of individual qubits and gates, while system-level benchmarks evaluate the entire quantum processor. Software-level benchmarks consider the compiler’s efficiency and error mitigation techniques. HPC-level and cloud benchmarks address integration with classical systems and cloud platforms, respectively. Application-level benchmarks measure performance in real-world use cases. The document also discusses the importance of standardization to ensure reproducibility and comparability of benchmarks, and highlights ongoing efforts in the quantum computing community towards establishing these benchmarks. Recommendations for future steps emphasize the need for developing standardized evaluation routines and integrating benchmarks with broader quantum technology activities. © 2025, CC BY.

关键词： Quantum computers

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Spatial resolution for forest carbon maps

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Science (New York, N.Y.) 2025年第6732期387卷 370-371页

作者： Laura Duncanson Neha Hunka Tommaso Jucker John Armston Nancy Harris Lola Fatoyinbo Christopher A Williams Jeff W Atkins Brett Raczka Shawn Serbin Michael Keller Ralph Dubayah Chad Babcock Mark A Cochrane Andrew Hudak George C Hurtt Paul M Montesano L Monika Moskal Taejin Park Sassan Saatchi Carlos A Silva Hao Tang Rodrigo Vargas Aaron Weiskittel Konrad Wessels Scott J Goetz Geographical Sciences University of Maryland College Park MD USA. School of Biological Sciences University of Bristol Bristol UK. World Resources Institute Washington DC USA. NASA Goddard Space Flight Center Greenbelt MD USA. Graduate School of Geography Clark University Worcester MA USA. US Department of Agriculture (USDA) Forest Service Southern Research Station New Ellenton SC USA. Department of Biology Virginia Commonwealth University Richmond VA USA. Computational and Information Systems Lab Data Assimilation Research Section National Center for Atmospheric Research Boulder CO USA. International Institute of Tropical Forestry USDA Forest Service Rio Piedras PR USA. Forest Resources Department University of Minnesota St. Paul MN USA. University of Maryland Center for Environmental Science Frostburg MD USA. Rocky Mountain Research Station USDA Forest Service Moscow ID USA. NASA Goddard Space Flight Center ADNET Systems Greenbelt MD USA. School of Environmental and Forest Sciences University of Washington WA USA. Bay Area Environmental Research Institute Moffett Field CA USA. NASA Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA. CTrees Pasadena CA USA. Forest Biometrics Remote Sensing and Artificial Intelligence Lab (SilvaLab) School of Forest Fisheries and Geomatics Science University of Florida Gainesville FL USA. Department of Geography National University of Singapore Singapore. Department of Plant and Soil Sciences University of Delaware Newark DE USA. Center for Research on Sustainable Forests University of Maine Orono ME USA. Geography and Geoinformation Science George Mason University Fairfax VA USA. School of Informatics Computing and Cyber Systems Northern Arizona University Flagstaff AZ USA.

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Approaching Peak Ground Truth

Approaching Peak Ground Truth

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IEEE International Symposium on Biomedical Imaging

作者： Florian Kofler Johannes Wahle Ivan Ezhov Sophia J. Wagner Rami Al-Maskari Emilia Gryska Mihail Todorov Christina Bukas Felix Meissen Tingying Peng Ali Ertürk Daniel Rueckert Rolf Heckemann Jan Kirschke Claus Zimmer Benedikt Wiestler Bjoern Menze Marie Piraud Helmholtz AI Helmholtz Zentrum München Germany Department of Informatics Technical University Munich (TUM) Germany TranslaTUM - Central Institute for Translational Cancer Research TUM Germany Department of Diagnostic and Interventional Neuroradiology School of Medicine Klinikum Rechts der Isar TUM Germany German Center for Neurodegenerative Diseases (DZNE) Bonn Germany Institute for Tissue Engineering and Regenerative Medicine (iTERM) Helmholtz Munich Germany Department of Radiology Institute of Clinical Sciences Sahlgrenska Academy University of Gothenburg Gothenburg Sweden Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Germany Chair for AI in Medicine Klinikum Rechts der Isar Munich Germany Graduate School of Neuroscience (GSN) Munich Germany Munich Cluster for Systems Neurology (Synergy) Munich Germany Department of Computing Imperial College London United Kingdom Department of Medical Radiation Sciences University of Gothenburg Gothenburg Sweden Department of Quantitative Biomedicine University of Zurich Switzerland

Machine learning models are typically evaluated by computing similarity with reference annotations and trained by maximizing similarity with such. Especially in the biomedical domain, annotations are subjective and suffer from low inter-and intra-rater reliability. Since annotations only reflect one interpretation of the real world, this can lead to sub-optimal predictions even though the model achieves high similarity scores. Here, the theoretical concept of Peak Ground Truth (PGT) is introduced. PGT marks the point beyond which an increase in similarity with the reference annotation stops translating to better Real World Model Performance (RWMP). Additionally, a quantitative technique to approximate PGT by computing inter- and intra-rater reliability is proposed. Finally, four categories of PGT-aware strategies to evaluate and improve model performance are reviewed.

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Improving the Vocabulary Learning by Personalized Proficiency

Improving the Vocabulary Learning by Personalized Proficienc...

引用

IEEE International Conference on Ubi-Media computing

作者： Yi-Zhen Lin Kai-Hsiang Chen Jen-Wei Huang Department of Electrical Engineering National Cheng Kung University Tainan Taiwan Graduate Program of Multimedia Systems and Intelligent Computing National Cheng Kung University and Academia Sinica Taiwan

ISBN: (数字)9781728128207

ISBN: (纸本)9781728128214

To improve the vocabulary ability is very important in language learning. Thus, if we can learn and remember a word very effectively, then we will be able to master a language more quickly. Therefore, many scholars began to propose related research. Due to the learning mechanism of human brain, sometimes when people learn a new knowledge they may forgot at a short time. In order to make the consideration more complete, after analyzing Hermann Ebbinghaus's forgetting curve experiment, we added two variables, one is the acceptance of each word by the same person, and the other is the ability of different people to remember vocabulary. With the above two parameters, we want to design a system to help user to review the vocabulary which may be forgetting before. The forgetting curve can be personalized, and it is more accurate to calculate the best time for each user to review the vocabulary.

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Reconstructing sparse signals via greedy Monte-Carlo search

arXiv

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arXiv 2020年

作者： Hayashi, Kao Obuchi, Tomoyuki Kabashima, Yoshiyuki Graduate School of Sciences and Humanities Nara Women's University Nara630-8506 Japan Department of Systems Science Graduate School of Informatics Kyoto University Yoshida Hon-machi Sakyo-ku Kyoto-shi Kyoto606-8501 Japan Department of Mathematical and Computing Science Tokyo Institute of Technology 2-12-1 Ookayama Meguro-ku Tokyo152-8550 Japan Institute for Physics of Intelligence Department of Physics Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-0033 Japan

We propose a Monte-Carlo-based method for reconstructing sparse signals in the formulation of sparse linear regression in a high-dimensional setting. The basic idea of this algorithm is to explicitly select variables or covariates to represent a given data vector or responses and accept randomly generated updates of that selection if and only if the energy or cost function decreases. This algorithm is called the greedy Monte-Carlo (GMC) search algorithm. Its performance is examined via numerical experiments, which suggests that in the noiseless case, GMC can achieve perfect reconstruction in undersampling situations of a reasonable level: it can outperform the 1 relaxation but does not reach the algorithmic limit of MC-based methods theoretically clarified by an earlier analysis. The necessary computational time is also examined and compared with that of an algorithm using simulated annealing. Additionally, experiments on the noisy case are conducted on synthetic datasets and on a real-world dataset, supporting the practicality of GMC. Copyright © 2020, The Authors. All rights reserved.

关键词： Monte Carlo methods

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Cyber-Physical-Social systems for Smart City: An Implementation Based on Intelligent Loop

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IFAC-PapersOnLine 2020年第5期53卷 501-506页

作者： Gang Xiong Xiaoyu Chen Nan Shuo Yisheng Lv Fenghua Zhu Tianci Qu Peijun Ye State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing 100049 China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing The Cloud Computing Center Chinese Academy of Sciences Dongguan 523808 China Graduate School of System Design Tokyo Metropolitan University Tokyo 191-0065 Japan

Cyber-Physical-Social systems (CPSS) provides a novel perspective for constructing “Smart City”, which is also known as the Human-Machine-Things-System (HMTS), focusing on the fusion of ternary space: social network of human society, network of machines and the Internet of things. In this paper, we propose a specific implementation framework of CPSS for Smart City based on intelligent loops, including basic modeling and interactive fusion, state perception and cognition, and adaptive learning. On this basis, an overall architecture of the CPSS platform is designed, which is applied in the urban transportation management in Hangzhou. The application results demonstrate that the intelligent loop could optimize the control and management strategies for actual urban transportation.

关键词： CPSS Intelligent Loop Human-Cyber-Physical Ternary Space

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Collaborative Optimization of Cyber Physical Social systems for Urban Transportation Based on Knowledge Automation

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IFAC-PapersOnLine 2020年第5期53卷 572-577页

The integration of signals from physical, social and cyber spaces, known as Cyber-Physical-Social systems (CPSS), is a new research paradigm for urban transportation, where the traffic control and management (C&M) is collaborative optimized among the three sub-systems. Though some technologies and optimization methods have been studied since its proposition, there is a lack of a systemic architecture as well as an overall implementation about how to efficiently exploit the social signals. For this reason, this paper proposes a general framework of CPSS for urban transportation and presents a feasible solution for traffic optimization based on knowledge automation. The specific implementation includes basic modeling of CPSS, knowledge evolution and reasoning, and collaborative optimization of C&P strategies. As a remarkable highlight, the influence of both individual activities and social learning is concerned during knowledge evolution and reasoning part. A case study from the application in the city of Dongguan is also given to validate our proposed framework and methods, showing that they can efficiently improve the average speed of the actual transportation.

关键词： CPSS knowledge automation urban transportation Collaborative Optimization

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Dynamical phase transition in Floquet optical bistable systems: An approach from finite-size quantum systems

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Physical Review A 2020年第1期101卷 013809-013809页

作者： Tatsuhiko Shirai Synge Todo Seiji Miyashita Green Computing Systems Research Organization Waseda University 27 Waseda-cho Shinjuku-ku Tokyo 162-0042 Japan Department of Physics Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo-Ku Tokyo 113-0033 Japan The Institute for Solid State Physics The University of Tokyo 5-1-5 Kashiwanoha Kashiwa Chiba 277-8581 Japan The Physical Society of Japan 2-31-22 Yushima Bunkyo-ku Tokyo 113-0034 Japan

We study a dynamical phase transition in optical bistable systems subject to a time-periodic driving field. The phase transition occurs in the structure of a limit cycle as a function of the frequency of the driving field. In the thermodynamic limit, a single limit cycle is divided into two separated limit cycles at the transition point. In finite-size systems, however, there is always a single limit cycle due to the quantum tunneling effect. We use a Floquet dissipative map, which is a time-evolution operator over one period in dynamics given by a quantum master equation, and discuss the decay rate of relaxation dynamics into the limit cycle based on the dominant eigenvalue of the map. We found that the decay rate exhibits qualitatively different system-size dependence before and after the phase transition and it shows a finite-size scaling of spinodal phenomena around the transition point. The present paper provides a systematic way of studying a dynamical phase transition observed in time-periodically driven open systems in terms of the Floquet dissipative map.

关键词： Collective effects in quantum optics Dynamical phase transitions Open quantum systems Optical bistability Floquet systems Finite-size scaling Mean field theory Quantum master equation Rotating wave approximation

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