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Nature Reviews Physics 2022年 138页

作者： Yang Chen Qing Zhang Cheng-Wei Qiu Wei Du Oscar Ávalos-Ovando Alexander O. Govorov Jing Wu Qing-Hua Xu Na Liu Hiromi Okamoto Qihua Xiong Department of Electrical and Computer Engineering National University of Singapore Singapore 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 Hefei China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore Singapore Institute of Functional Nano and Soft Materials (FUNSOM) Soochow University Suzhou China Department of Physics and Astronomy Ohio University Athens OH USA Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu China Institute of Materials Research and Engineering (IMRE) Agency for Science Technology and Research (A*STAR) Singapore Singapore Department of Chemistry National University of Singapore Singapore Singapore 2nd Physics Institute University of Stuttgart Stuttgart Germany Max Planck Institute for Solid State Research Stuttgart Germany Institute for Molecular Science and the Graduate University for Advanced Studies (SOKENDAI) Okazaki Aichi Japan State Key Laboratory of Low-Dimensional Quantum Physics and Department of Physics Tsinghua University Beijing China Beijing Academy of Quantum Information Sciences (BAQIS) Beijing China

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Large format imaging spectrograph for the large submillimeter telescope (LST)

arXiv

引用

arXiv 2021年

作者： Kohno, Kotaro Kawabe, Ryohei Tamura, Yoichi Endo, Akira Baselmans, Jochem J.A. Karatsu, Kenichi Inoue, Akio K. Moriwaki, Kana Hayatsu, Natsuki H. Yoshida, Naoki Yoshimura, Yuki Hatsukade, Bunyo Umehata, Hideki Oshima, Tai Takekoshi, Tatsuya Taniguchi, Akio Klaassen, Pamela D. Mroczkowski, Tony Cicone, Claudia Bertoldi, Frank Dannerbauer, Helmut Tosaki, Tomoka Institute of Astronomy School of Science The University of Tokyo 2-21-1 Osawa Mitaka Tokyo181-0015 Japan Research Center for the Early Universe School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan Division of Particle and Astrophysical Science Graduate School of Science Nagoya University Nagoya464-8602 Japan Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands Kavli Institute of NanoScience Faculty of Applied Sciences Delft University of Technology Delft Netherlands SRON – Netherlands Institute for Space Research Utrecht Netherlands Department of Physics School of Advanced Science and Engineering Faculty of Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan Waseda Research Institute for Science and Engineering Faculty of Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan Department of Environmental Science and Technology Faculty of Design Technology Osaka Sangyo University 3-1-1 Nakagaito Daito Osaka574-8530 Japan Department of Physics School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan UT Institutes for Advanced Study The University of Tokyo 5-1-5 Kashiwanoha Kashiwa Chiba277-8583 Japan RIKEN Cluster for Pioneering Research 2-1 Hirosawa Wako Saitama351-0198 Japan Kitami Institute of Technology 165 Koen-cho Kitami Hokkaido090-8507 Japan UK Astronomy Technology Centre Royal Observatory Edinburgh Blackford Hill EdinburghEH9 3HJ United Kingdom Karl-Schwarzschild-Strasse 2 Garching85748 Germany Institute of Theoretical Astrophysics University of Oslo P.O. Box 1029 BlindernOslo0315 Norway Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany Argelander-Institut für Astronomie University

We present a conceptual study of a large format imaging spectrograph for the Large Submillimeter Telescope (LST) and the Atacama Large Aperture Submillimeter Telescope (AtLAST). Recent observations of high-redshift galaxies indicate the onset of earliest star formation just a few 100 million years after the Big Bang (i.e., z = 12–15), and LST/AtLAST will provide a unique pathway to uncover spectroscopically-identified "first forming galaxies" in the pre-reionization era, once it will be equipped with a large format imaging spectrograph. We propose a 3-band (200, 255, and 350 GHz), medium resolution (R = 2,000) imaging spectrograph with ∼1.5 M detectors in total based on the KATANA concept (Karatsu et al. 2019), which exploits technologies of the integrated superconducting spectrometer (ISS) and a large-format imaging array. A 1-deg2 drilling survey (3,500 hr) will capture a large number of [O iii] 88 µm (and [C ii] 158 µm) emitters at z = 8–9, and constrain [O iii] luminosity functions at z > 12. © 2021, CC BY.

关键词： Spectrometers

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The role of artificial intelligence in achieving the Sustainable Development Goals

arXiv

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arXiv 2019年

作者： Vinuesa, Ricardo Azizpour, Hossein Leite, Iolanda Balaam, Madeline Dignum, Virginia Domisch, Sami Felländer, Anna Langhans, Simone Tegmark, Max Nerini, Francesco Fuso Linné FLOW Centre KTH Mechanics StockholmSE-100 44 Sweden School of Electrical Engineering and Computer Science KTH Royal Institute Of Technology Stockholm Sweden Division of Robotics Perception and Learning School of EECS KTH Royal Institute Of Technology Stockholm Sweden Division of Media Technology and Interaction Design KTH Royal Institute of Technology Lindstedtsvägen 3 Stockholm Sweden Responsible AI Lab Umeå University UmeåSE-90358 Sweden Leibniz-Institute of Freshwater Ecology and Inland Fisheries Müggelseedamm 310 Berlin12587 Germany Division of Media Technology and Interaction Design KTH Royal Institute of Technology Lindstedtsvägen 3 Stockholm Sweden Leioa Spain Department of Zoology University of Otago 340 Great King Street Dunedin9016 New Zealand Center for Brains Minds & Machines Massachusetts Institute of Technology CambridgeMA02139 United States KTH Royal Institute of Technology Brinellvagen 68 StockholmSE-100 44 Sweden

The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors across the society requires an assessment of its effect on sustainable development. Here we analyze published evidence of positive or negative impacts of AI on the achievement of each of the 17 goals and 169 targets of the 2030 Agenda for Sustainable Development. We find that AI can support the achievement of 128 targets across all SDGs, but it may also inhibit 58 targets. Notably, AI enables new technologies that improve efficiency and productivity, but it may also lead to increased inequalities among and within countries, thus hindering the achievement of the 2030 Agenda. The fast development of AI needs to be supported by appropriate policy and regulation. Otherwise, it would lead to gaps in transparency, accountability, safety and ethical standards of AI-based technology, which could be detrimental towards the development and sustainable use of AI. Finally, there is a lack of research assessing the medium- and long-term impacts of AI. It is therefore essential to reinforce the global debate regarding the use of AI and to develop the necessary regulatory insight and oversight for AI-based technologies. Copyright © 2019, The Authors. All rights reserved.

关键词： Planning

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Not just functional, nutritious, but also experiential: designing eating experiences for space travel 69

Not just functional, nutritious, but also experiential: Desi...

引用

69th International Astronautical Congress: #InvolvingEveryone, IAC 2018

作者： Obrist, Marianna Tu, Yunwen Yao, Lining Velasco, Carlos Sussex Computer Human Interaction Lab School of Engineering and Informatics University of Sussex Chichester 1 BrightonBN1 9QJ United Kingdom Food Design 322 Crestview Circle Daly CityCA United States Carnegie Mellon University School of Computer Science 5000 Forbes Ave PittsburghPA15213 United States Center for Multisensory Marketing Department of Marketing BI Norwegian Business School Nydalsveien 37 Oslo0484 Norway

In light of short- and long-term space travels to the Moon and Mars, it is essential to design nutritious foods, but also to make eating an enjoyable experience. To date, though, most research on space food design emphasizes the functional and nutritional aspects of food, but there are no systematic studies that focus is on the human experience of eating in space. We know however that food has a multi-dimensional and multisensorial role in societies and that sensory, hedonic, and social features of eating and food design should not be underestimated. We present, how research in the field of Human-computer interaction (HCI) can provide a user-centered design approach to co-create innovative ideas around the future of food and eating in space, balancing functional and experiential factors. Based on our research and inspired by advances in human food-interaction design, we developed three design concepts that integrate and tackle four crucial challenges for 'Eating in Space': to be functional, sensorial, emotional, and social. Moreover, we consider the environmental/atmospheric perspective in our design concepts. We can particularly capitalize on recent technological advances around digital fabrication, food 3D printing technology, and virtual and augmented reality to enable the design and integration of multisensory eating experiences. We also highlight that in future space travels, the target users will diversify. Thinking about future target users, we need to look at astronauts (current users, paid to do the job) but also beyond and consider paying customers (non-astronauts) who will be able to book a space holiday to the Moon or Mars. To create the right conditions for space travelling and to satisfy those users, we need to innovate beyond the initial excitement of designing an 'eating like an astronaut' experience and design for experiences beyond the novelty of the situation. To do so we can draw upon prior HCI research in human food-interaction design and build

关键词： Human computer interaction

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Retraction notice to “Improvement Mechanism of resistance random access memory with supercritical CO 2 fluid treatment” [J. Supercrit. Fluids, Volume 85, January 2014, Pages 183–189]

引用

The Journal of Supercritical Fluids 2021年 178卷

作者： Kuan-Chang Chang Jung-Hui Chen Tsung-Ming Tsai Ting-Chang Chang Syuan-Yong Huang Rui Zhang Kai-Huang Chen Yong-En Syu Geng-Wei Chang Tian-Jian Chu Guan-Ru Liu Yu-Ting Su Min-Chen Chen Jhih-Hong Pan Kuo-Hsiao Liao Ya-Hsiang Tai Tai-Fa Young Simon M. Sze Jen-Wei Huang Department of Materials and Optoelectronic Science National Sun Yat-Sen University 70 Lien-hai Road Kaohsiung 804 Taiwan Department of Chemistry National Kaohsiung Normal University Kaohsiung Taiwan Department of Physics National Sun Yat-Sen University 70 Lien-hai Road Kaohsiung 804 Taiwan School of Software and Microelectronics Peking University Beijing 100871 People's Republic of China Department of Electronics Engineering and Computer Science Tung-Fang Design Institute Kaohsiung Taiwan Department of Photonics and the Institute of Electro-Optical Engineering National Chiao Tung University Hsinchu 300 Taiwan Department of Mechanical and Electro-Mechanical Engineering Kaohsiung 804 Taiwan Department of Electronics Engineering and Institute of Electronics National Chiao Tung University Hsinchu 300 Taiwan Advanced Optoelectronics Technology Center National Cheng Kung University Taiwan Physics Division Institute of Nuclear Energy Research Taoyuan Taiwan Department of Physics ROC Military Academy Kaohsiung 83055 Taiwan

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A Smart Context-Aware Program Assistant Based on Dynamic Programming Event Modeling

A Smart Context-Aware Program Assistant Based on Dynamic Pro...

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IEEE International Conference on Software Reliability engineering Workshops (ISSRE Wksp)

作者： Xuejiao Zhao Hongwei Li Yutian Tang Dongjing Gao Lingfeng Bao Ching-Hung Lee NTU School of Computer Science and Engineering Singapore School of Computer Information Engineering Jiangxi Normal University Nanchang China Department of Computing The Hong Kong Polytechnic University Hong Kong School of Computer Science Fudan University Shanghai China College of Computer Science Zhejiang University Hangzhou China Division of Smart Product Design School of Mechanical and Aerospace Engineering Singapore

The following topics are dealt with: program testing; software fault tolerance; program debugging; software reliability; cloud computing; learning (artificial intelligence); program diagnostics; fault diagnosis; softw... 详细信息

ISBN: (纸本)9781538694442

关键词： Web pages Context modeling Monitoring Search engines Browsers Programming

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SentiML ++: an extension of the SentiML sentiment annotation scheme

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New Review of Hypermedia & Multimedia 2018年第1期24卷 28页

作者： Saad Missen, Malik M Coustaty, Mickaël Salamat, Nadeem Prasath, V B Surya Department of Computer Science and IT The Islamia University of Bahawalpur Pakistan Laboratoire Informatique Image et Interaction (L3i) Facultés des Sciences et Technologies University of La Rochelle France Department of Mathematics Khawaja Fareed University of Engineering and Information Technology (KFUIT) Rahim Yar Khan Pakistan Department of Computer Science University of Missouri-Columbia MO USA Division of Biomedical Informatics Cincinnati Children's Hospital Medical Center Cincinnati OH USA Department of Biomedical Informatics College of Medicine University of Cincinnati OH USA

The amount of opinionated data on the web has exponentially increased especially after the emergence of online social networks. To deal with these huge deluge of data, we need to have robust mechanisms that can help identify all aspects of opinion segment and support the automatic processing of opinion data. Recently, there have been a few developments made in this direction, and different sentiment annotation schemes have been proposed such as the SentiML, OpinionMiningML, and EmotionML. In this work, we propose SentiML++, an extension of SentiML with a focus on annotating opinions, and further answering aspects of the general question "who has what opinion about whom in which context?". A detailed comparison with SentiML and other existing annotation schemes is also presented. The data collection annotated with SentiML has been annotated with SentiML++ and is available for download for further research purposes. Experiments with data collections annotated with SentiML and SentiML++ proves that SentiML++ is a significant and valuable addition to SentiML.

关键词： SentiML sentiment analysis opinion mining document annotation evaluation

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A methodological approach to identify policy priorities of municipalities in Greece

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Energy Procedia 2018年 153卷 376-382页

作者： Alecos Kelemenis Panagiota Galiatsatou Decision Support Systems Laboratory School of Electrical and Computer Engineering National Technical University of Athens Iroon Politechniou 9 15780 Athens Greece Environmental Design School of Science and Technology Hellenic Open University Parodos Aristotelous 18 26335 Patra Greece Hydraulics Laboratory Division of Hydraulics and Environmental Engineering Department of Civil Engineering Aristotle University of Thessaloniki Thessaloniki 54124 Greece

This study introduces a proposed framework encompassing all pivotal sectors a municipality deals with contributing to sustainable development at a local level. This framework is tailor-made to fit into the Greek environment in which municipalities operate. Furthermore, by making use of an appropriate weighting method, considering the challenges of the working environment in Greek municipalities, the study proposes a specific methodology to better understand the policy priorities of municipalities. This information can be used to adjust and better align local policies with national strategies and with the needs and priorities of citizens.

关键词： Sustainable cities urban sustainable development urban planning city sustainability framework weighting methods

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design of an autonomous precision pollination robot

arXiv

引用

arXiv 2018年

作者： Ohi, Nicholas Lassak, Kyle Watson, Ryan Strader, Jared Du, Yixin Yang, Chizhao Hedrick, Gabrielle Nguyen, Jennifer Harper, Scott Reynolds, Dylan Kilic, Cagri Hikes, Jacob Mills, Sarah Castle, Conner Buzzo, Benjamin Waterland, Nicole Gross, Jason Park, Yong-Lak Li, Xin Gu, Yu MorgantownWV26506 United States Lane Department of Computer Science and Electrical Engineering Benjamin M. Statler College of Engineering and Mineral Resources WVU MorgantownWV26506 United States Division of Plant and Soil Sciences Davis College of Agriculture Natural Resources and Design WVU MorgantownWV26506 United States

Precision robotic pollination systems can not only fill the gap of declining natural pollinators, but can also surpass them in efficiency and uniformity, helping to feed the fast-growing human population on Earth. This paper presents the design and ongoing development of an autonomous robot named "BrambleBee", which aims at pollinating bramble plants in a greenhouse environment. Partially inspired by the ecology and behavior of bees, BrambleBee employs state-of-the-art localization and mapping, visual perception, path planning, motion control, and manipulation techniques to create an efficient and robust autonomous pollination system. Copyright © 2018, The Authors. All rights reserved.

关键词： Machine design

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YouPower: An open source platform for community-oriented smart grid user engagement

YouPower: An open source platform for community-oriented sma...

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IEEE International Conference on Networking, Sensing and Control

作者： Yilin Huang Hanna Hasselqvist Giacomo Poderi Sanja Šćepanović Filip Kis Cristian Bogdan Martijn Warnier Frances Brazier Section Systems Engineering and Simulation Delft University of Technology The Netherlands Media Technology and Interaction Design KTH Royal Institute of Technology Sweden Department of Information Engineering and Computer Science University of Trento Italy Department of Computer Science Aalto University Finland

This paper presents YouPower, an open source platform designed to make people more aware of their energy consumption and encourage sustainable consumption with local communities. The platform is designed iteratively in collaboration with users in the Swedish and Italian test sites of the project to improve the design and increase active user participation. The community-oriented design is composed of parts that link energy data to energy actions, provide comparisons at different levels, generate dynamic time-of-use signals, offer energy conservation suggestions, and support social sharing. The goal is to bridge people's attitude-behavior gap in energy consumption and to facilitate the behavior change process towards sustainable energy consumption that is implementable in people's daily life. Preliminary results show that community-oriented energy intervention has the potential to improve user engagement significantly.

关键词： Production Smart grids Electronic mail Energy consumption Real-time systems Buildings Home appliances

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