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arXiv 2020年

作者： Abdar, Moloud Pourpanah, Farhad Hussain, Sadiq Rezazadegan, Dana Liu, Li Ghavamzadeh, Mohammad Fieguth, Paul Cao, Xiaochun Khosravi, Abbas Rajendra Acharya, U. Makarenkov, Vladimir Nahavandi, Saeid Deakin University Australia College of Mathematics and Statistics Guangdong Key Lab. of Intelligent Information Processing Shenzhen University Shenzhen518060 China Dibrugarh University Dibrugarh India Department of Computer Science and Software Engineering Swinburne University of Technology Melbourne Australia Center for Machine Vision and Signal Analysis University of Oulu Oulu Finland Google research United States Department of Systems Design Engineering University of Waterloo Waterloo Canada State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China Department of Electronics and Computer Engineering Ngee Ann Polytechnic Clementi Singapore Department of Computer Science University of Quebec in Montreal MontrealQC Canada

—Uncertainty quantification (UQ) plays a pivotal role in the reduction of uncertainties during both optimization and decision making, applied to solve a variety of real-world applications in science and engineering. Bayesian approximation and ensemble learning techniques are two of the most widely-used UQ methods in the literature. In this regard, researchers have proposed different UQ methods and examined their performance in a variety of applications such as computer vision (e.g., self-driving cars and object detection), image processing (e.g., image restoration), medical image analysis (e.g., medical image classification and segmentation), natural language processing (e.g., text classification, social media texts and recidivism risk-scoring), bioinformatics, etc. This study reviews recent advances in UQ methods used in deep learning, investigates the application of these methods in reinforcement learning, and highlight the fundamental research challenges and directions associated with the UQ field. Copyright © 2020, The Authors. All rights reserved.

关键词： Image segmentation

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Geometric Filterless Photodetectors for Mid-infrared Spin Light

arXiv

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arXiv 2022年

作者： Wei, Jingxuan Chen, Yang Li, Ying Li, Wei Xie, Junsheng Lee, Chengkuo Novoselov, Kostya S. Qiu, Cheng-Wei Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore CAS Key Laboratory of Mechanical Behaviour and Design of Materials Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei230026 China Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou310027 China International Joint Innovation Center Key Lab of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Zhejiang University Haining314400 China GPL Photonics Lab State Key Laboratory of Applied Optics Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun130033 China Center for Intelligent Sensors and MEMS National University of Singapore Singapore117608 Singapore Institute for Functional Intelligent Materials National University of Singapore Singapore117544 Singapore

Free-space circularly polarized light (CPL) detection, requiring polarizers and waveplates, has been well established, while such spatial degree of freedom is unfortunately absent in integrated on-chip optoelectronics. So far, those reported filterless CPL photodetectors suffer from the intrinsic small discrimination ratio, vulnerability to the non-CPL field components, and low responsivity. Here, we report a distinct paradigm of geometric photodetectors in mid-infrared exhibiting colossal discrimination ratio, close-to-perfect CPL-specific response, a zero-bias responsivity of 392 V/W at room temperature, and a detectivity of ellipticity down to 0.03o Hz−1/2. Our approach employs plasmonic nanostructures array with judiciously designed symmetry, assisted by graphene ribbons to electrically read their near-field optical information. This geometry-empowered recipe for infrared photodetectors provides a robust, direct, strict, and high-quality solution to on-chip filterless CPL detection and unlocks new opportunities for integrated functional optoelectronic devices. Copyright © 2022, The Authors. All rights reserved.

关键词： Photodetectors

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Eye tracking: empirical foundations for a minimal reporting guideline

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Behavior research methods 2023年第1期55卷 364-416页

作者： Kenneth Holmqvist Saga Lee Örbom Ignace T C Hooge Diederick C Niehorster Robert G Alexander Richard Andersson Jeroen S Benjamins Pieter Blignaut Anne-Marie Brouwer Lewis L Chuang Kirsten A Dalrymple Denis Drieghe Matt J Dunn Ulrich Ettinger Susann Fiedler Tom Foulsham Jos N van der Geest Dan Witzner Hansen Samuel B Hutton Enkelejda Kasneci Alan Kingstone Paul C Knox Ellen M Kok Helena Lee Joy Yeonjoo Lee Jukka M Leppänen Stephen Macknik Päivi Majaranta Susana Martinez-Conde Antje Nuthmann Marcus Nyström Jacob L Orquin Jorge Otero-Millan Soon Young Park Stanislav Popelka Frank Proudlock Frank Renkewitz Austin Roorda Michael Schulte-Mecklenbeck Bonita Sharif Frederick Shic Mark Shovman Mervyn G Thomas Ward Venrooij Raimondas Zemblys Roy S Hessels Department of Psychology Nicolaus Copernicus University Torun Poland. kenneth.holmqvist@ur.de. Department of Computer Science and Informatics University of the Free State Bloemfontein South Africa. kenneth.holmqvist@ur.de. Department of Psychology Regensburg University Regensburg Germany. kenneth.holmqvist@ur.de. Department of Psychology Regensburg University Regensburg Germany. Experimental Psychology Helmholtz Institute Utrecht University Utrecht The Netherlands. Lund University Humanities Lab and Department of Psychology Lund University Lund Sweden. Department of Ophthalmology SUNY Downstate Health Sciences University Brooklyn NY USA. Tobii Pro AB Danderyd Sweden. Social Health and Organizational Psychology Utrecht University Utrecht The Netherlands. Department of Computer Science and Informatics University of the Free State Bloemfontein South Africa. TNO Soesterberg The Netherlands. Department of Ergonomics Leibniz Institute for Working Environments and Human Factors Dortmund Germany. Institute of Informatics LMU Munich Munich Germany. Institute of Child Development University of Minnesota Minneapolis USA. School of Psychology University of Southampton Southampton UK. School of Optometry and Vision Sciences Cardiff University Cardiff UK. Department of Psychology University of Bonn Bonn Germany. Vienna University of Economics and Business Vienna Austria. Department of Psychology University of Essex Essex UK. Department of Neuroscience Erasmus MC Rotterdam The Netherlands. Machine Learning Group Department of Computer Science IT University of Copenhagen Copenhagen Denmark. SR Research Ltd Ottawa Canada. Human-Computer Interaction University of Tübingen Tübingen Germany. University of British Columbia Columbia Canada. Department of Eye and Vision Science Institute of Life Course and Medical Sciences University of Liverpool Liverpool UK. Department of Education and Pedagogy Division Education Faculty of Social and Behavioral Sciences Ut

In this paper, we present a review of how the various aspects of any study using an eye tracker (such as the instrument, methodology, environment, participant, etc.) affect the quality of the recorded eye-tracking data and the obtained eye-movement and gaze measures. We take this review to represent the empirical foundation for reporting guidelines of any study involving an eye tracker. We compare this empirical foundation to five existing reporting guidelines and to a database of 207 published eye-tracking studies. We find that reporting guidelines vary substantially and do not match with actual reporting practices. We end by deriving a minimal, flexible reporting guideline based on empirical research (Section "An empirically based minimal reporting guideline").

关键词： Data quality Eye movements Eye tracking Replicability Reporting guidelines Reporting practices Reporting standards Reproducibility

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SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding

arXiv

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arXiv 2019年

作者： Najafipour, Saeed Hosseini, Saeid Hua, Wen Kangavari, Mohammad Reza Zhou, Xiaofang Computational Cognitive Model Research Lab School of Computer Engineering Iran University of Science and Technology Iran Cyber Security Lab. Singapore University of Technology and Design Singapore School of Information Technology and Electrical Engineering University of Queensland Brisbane Australia

Linking authors of short-text contents has important usages in many applications, including Named Entity Recognition (NER) and human community detection. However, certain challenges lie ahead. Firstly, the input short-text contents are noisy, ambiguous, and do not follow the grammatical rules. Secondly, traditional text mining methods fail to effectively extract concepts through words and phrases. Thirdly, the textual contents are temporally skewed, which can affect the semantic understanding by multiple time facets. Finally, using the complementary knowledge-bases makes the results biased to the content of the external database and deviates the understanding and interpretation away from the real nature of the given short text corpus. To overcome these challenges, we devise a neural network-based temporal-textual framework that generates the tightly connected author subgraphs from microblog short-text contents. Our approach, on the one hand, computes the relevance score (edge weight) between the authors through considering a portmanteau of contents and concepts, and on the other hand, employs a stack-wise graph cutting algorithm to extract the communities of the related authors. Experimental results show that compared to other knowledge-centered competitors, our multi-aspect vector space model can achieve a higher performance in linking short-text authors. Additionally, given the author linking task, the more comprehensive the dataset is, the higher the significance of the extracted concepts will be. Copyright © 2019, The Authors. All rights reserved.

关键词： Vector spaces

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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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Shared Metadata for Data-Centric Materials science

arXiv

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arXiv 2022年

作者： Ghiringhelli, Luca M. Baldauf, Carsten Bereau, Tristan Brockhauser, Sandor Carbogno, Christian Chamanara, Javad Cozzini, Stefano Curtarolo, Stefano Draxl, Claudia Dwaraknath, Shyam Fekete, Ádám Kermode, James Koch, Christoph T. Kühbach, Markus Ladines, Alvin Noe Lambrix, Patrick Lenz-Himmer, Maja-Olivia Levchenko, Sergey Oliveira, Micael Michalchuk, Adam Miller, Ron Onat, Berk Pavone, Pasquale Pizzi, Giovanni Regler, Benjamin Rignanese, Gian-Marco Schaarschmidt, Jörg Scheidgen, Markus Schneidewind, Astrid Sheveleva, Tatyana Su, Chuanxun Usvyat, Denis Valsson, Omar Wöll, Christof Scheffler, Matthias Physics Department IRIS Adlershof Humboldt-Universität zu Berlin Germany The NOMAD Lab The Fritz Haber Institute The Max Planck Society Humboldt University Berlin Germany Fritz Haber Institute of the Max Planck Society Berlin Germany Van’t Hoff Institute for Molecular Sciences Informatics Institute University of Amsterdam Amsterdam1098 XH Netherlands TIB Leibniz Information Centre for Science and Technology University Library Welfengarten 1B Hanover30167 Germany AREA Science Park località Padriciano Trieste34149 Italy Center for Autonomous Materials Design Department of Mechanical Engineering and Materials Science Duke University DurhamNC27708 United States Lawrence Berkeley National Laboratory BerkeleyCA United States Warwick Centre for Predictive Modelling School of Engineering University of Warwick CoventryCV4 7AL United Kingdom Department of Computer and Information Science Linköping University Sweden The Swedish e-Science Research Centre Linköping University Sweden Max Planck Institute for the Structure and Dynamics of Matter Hamburg Germany Berlin12489 Germany Department of Mechanical and Aerospace Engineering Carleton University OttawaONK1S 5B6 Canada École Polytechnique Fédérale de Lausanne LausanneCH-1015 Switzerland UCLouvain Chemin des Étoiles 8 Louvain-la-NeuveB-1348 Belgium Eggenstein-Leopoldshafen76344 Germany Jülich Center for Neutron Science MLZ Forschungszentrum Jülich GmbH Lichtenbergstraße 1 Garching85748 Germany CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China Chemistry Department Humboldt-Universität zu Berlin Germany Department of Chemistry University of North Texas DentonTX76201 United States Eggenstein-Leopoldshafen76344 Germany

The expansive production of data in materials science, their widespread sharing and repurposing requires educated support and stewardship. In order to ensure that this need helps rather than hinders scientific work, the implementation of the FAIR-data principles (Findable, Accessible, Interoperable, and Reusable) must not be too narrow. Besides, the wider materials-science community ought to agree on the strategies to tackle the challenges that are specific to its data, both from computations and experiments. In this paper, we present the result of the discussions held at the workshop on "Shared Metadata and Data Formats for Big-Data Driven Materials science". We start from an operative definition of metadata, and what features a FAIR-compliant metadata schema should have. We will mainly focus on computational materials-science data and propose a constructive approach for the FAIRification of the (meta)data related to ground-state and excited-states calculations, potential-energy sampling, and generalized workflows. Finally, challenges with the FAIRification of experimental (meta)data and materials-science ontologies are presented together with an outlook of how to meet them. © 2022, CC BY.

关键词： Metadata

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Feasibility analysis for a novel dew point air cooler applied in warm and humid climate: a case study in Beijing

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Energy Procedia 2019年 158卷 2126-2131页

作者： Peng Xu Xiaoli Ma Xudong Zhao Yaxuan Xiong Yanbing Sun Beijing Key Lab of Heating Gas Supply Ventilating and Air Conditioning Engineering Beijing University of Civil Engineering and Architecture Beijing China 100044 School of Engineering and Computer Science University of Hull UK HU6 7RX Zibo Architectural Design and Research Institute Zibo Shandong China 255037

The air humidity and temperature greatly impact the water evaporation efficiency. It is commonly doubted whether the evaporative cooling technology is suitable for the humid climate as well as the public’s care about the water consumption for cooling. This paper provids a feasibility study for the use of a DPC (dew point air cooler) in Beijing, a representative city in warm and humid climate. The overall analyses include an hourly cooling performance analysis in a typical cooling day, annual energy performance prediction and economic analysis based on an experimentally validated simulation tool. With detailed analyses of the real weather data all year round, it is found the outdoor air must be dehumidified to meet the humidity requirement in most of the cooling hours for any air conditioning means. Thus, the superiority of evaporative cooling would be prominent comparing to the conventional mechanical cooling. The water consumption is little especially considering the fact that the conventional power generation consumes large quantity of water and the DPC saves large sales of power. The results proved the feasibility for the DPC applied in Beijing. The success in application of the proposed DPC in the warm and humid region promises more opportunities of the dew point cooling technology.

关键词： dew point air cooler evaporative cooling warm humid cooling perfomance economic analysis

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Readability research: An interdisciplinary approach

arXiv

引用

arXiv 2021年

作者： Beier, Sofie Berlow, Sam Boucaud, Esat Bylinskii, Zoya Cai, Tianyuan Cohn, Jenae Crowley, Kathy Day, Stephanie L. Dingler, Tilman Dobres, Jonathan Healey, Jennifer Jain, Rajiv Jordan, Marjorie Kerr, Bernard Li, Qisheng Miller, Dave B. Nobles, Susanne Papoutsaki, Alexandra Qian, Jing Rezvanian, Tina Rodrigo, Shelley Sawyer, Ben D. Sheppard, Shannon M. Stein, Bram Treitman, Rick Vanek, Jen Wallace, Shaun Wolfe, Benjamin Centre for Visibility Design Royal Danish Academy Copenhagen Denmark Typography for Good Virtual Readability Lab University of Central Florida OrlandoFL United States Adobe Inc. San FranciscoCA United States California State University Sacramento SacramentoCA United States Readability Matters University of Melbourne Melbourne Australia Sonos Inc. BostonMA United States Paul G. Allen School of Computer Science & Engineering University of Washington United States ReadWorks BrooklynNY United States Department of Computer Science Pomona College Claremont CA United States Brown University ProvidenceRI United States University of Arizona TucsonAZ United States Chapman University Department of Communication Sciences & Disorders OrangeCA United States World Education Digital Learning and Research BostonMA United States University of Toronto Mississauga MississaugaON Canada

Readability is on the cusp of a revolution. Fixed text is becoming fluid as a proliferation of digital reading devices rewrite what a document can do. As past constraints make way for more flexible opportunities, there is great need to understand how reading formats can be tuned to the situation and the individual. We aim to provide a firm foundation for readability research, a comprehensive framework for modern, multidisciplinary readability research. Readability refers to aspects of visual information design which impact information flow from the page to the reader. Readability can be enhanced by changes to the set of typographical characteristics of a text. These aspects can be modified on-demand, instantly improving the ease with which a reader can process and derive meaning from text. We call on a multi-disciplinary research community to take up these challenges to elevate reading outcomes and provide the tools to do so effectively. Copyright © 2021, The Authors. All rights reserved.

关键词： Digital devices

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Consistent discretization of a class of predefined-time stable systems

arXiv

引用

arXiv 2020年

作者： Jiménez-Rodríguez, Esteban Aldana-López, Rodrigo Sánchez-Torres, Juan D. Gómez-Gutiérrez, David Loukianov, Alexander G. Department of Electrical Engineering Cinvestav-Guadalajara Jalisco45019 Mexico Department of Computer Science and Systems Engineering University of Zaragoza Zaragoza50009 Spain Research Laboratory on Optimal Design Devices and Advanced Materials -OPTIMA- Department of Mathematics and Physics ITESO Jalisco45604 Mexico Multi-agent autonomous systems lab Intel Labs Intel Tecnología de México Jalisco45019 Mexico Tecnologico de Monterrey Escuela de Ingeniería y Ciencias Jalisco45138 Mexico

As the main contribution, this document provides a consistent discretization of a class of fixed-time stable systems, namely predefined-time stable systems. In the unperturbed case, the proposed approach allows obtaining not only a consistent but exact discretization of the considered class of predefined-time stable systems, whereas in the perturbed case, the consistent discretization preserves the predefined-time stability property. All the results are validated through simulations and compared with the conventional explicit Euler scheme, highlighting the advantages of this proposal. Copyright © 2020, The Authors. All rights reserved.

关键词： Digital control systems

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Control flow in active inference systems

arXiv

引用

arXiv 2023年

作者： Fields, Chris Fabrocini, Filippo Friston, Karl Glazebrook, James F. Hazan, Hananel Levin, Michael Marcianò, Antonino Allen Discovery Center Tufts University MedfordMA02155 United States College of Design and Innovation Tongji University 281 Fuxin Rd Shanghai200092 China Institute for Computing Applications "Mario Picone" Italy National Research Council Via dei Taurini 19 Rome00185 Italy Wellcome Centre for Human Neuroimaging University College London LondonWC1N 3AR United Kingdom VERSES Research Lab Los AngelesCA90016 United States Department of Mathematics and Computer Science Eastern Illinois University CharlestonIL61920 United States Adjunct Faculty Department of Mathematics University of Illinois at Urbana-Champaign UrbanaIL61801 United States Wyss Institute for Biologically Inspired Engineering Harvard University BostonMA02115 United States Center for Field Theory and Particle Physics Department of Physics Fudan University Shanghai China Laboratori Nazionali di Frascati INFN Frascati Rome Italy INFN sezione Roma "Tor Vergata" RomeI-00133 Italy

Living systems face both environmental complexity and limited access to free-energy resources. Survival under these conditions requires a control system that can activate, or deploy, available perception and action resources in a context specific way. We show here that when systems are described as executing active inference driven by the free-energy principle (and hence can be considered Bayesian prediction-error minimizers), their control flow systems can always be represented as tensor networks (TNs). We show how TNs as control systems can be implmented within the general framework of quantum topological neural networks, and discuss the implications of these results for modeling biological systems at multiple scales. © 2023, CC BY.

关键词： Free energy

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