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arXiv 2017年

作者： Kamabe, Hiroshi Manada, Akiko Muramatsu, Jun Miyake, Shigeki Morita, Hiroyoshi Chen, Yanling Han Vinck, A.J. Sakai, Yuta Iwata, Ken-Ichi Tamm, Ulrich De With, Peter H.N. Van Der Sommen, Fons Langenhuizen, Patrick Van Der Putten, Joost Harutyunyan, Ashot N. Poghosyan, Arnak V. Grigoryan, Naira M. Chaabane, Ferdaous Imanishi, Masayuki Wadayama, Tadashi Wübben, Dirk Kurkoski, Brian M. Lewandowsky, Jan Yamamoto, Hirosuke Gassara, Hela Rouissi, Fatma Ghazel, Adel Grati, Khaled Gharbi, Hamed Kuzuoka, Shigeaki Baggen, Stan Iwamoto, Mitsugu Gifu University Japan Graduate School of Informatics and Engineering University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan NTT Communication Science Laboratories NTT Corporation NTT Network Innovation Laboratories NTT Corporation University of Electro-Communications Chofu Tokyo182-8585 Japan Institute of Digital Signal Processing University of Duisburg-Essen Germany University of Fukui Japan University of Applied Sciences Interaktion 1 Bielefeld33619 Germany Eindhoven University of Technology PO Box 513 Eindhoven5600 MB Netherlands 48 Mamikonyants str. Yerevan0051 Armenia GRESCOM Lab. Ecole Supérieure des Communications de Tunis University of Carthage SUP'COM Cité technologique des communications 2088 El Ghazala Ariana Tunisia Nagoya Institute of Technology Japan Department of Communications Engineering University of Bremen Bremen28359 Germany Japan Advanced Institute of Science and Technology Nomi Japan Hamburg University of Technology Institute of Communications Hamburg21073 Germany Dept. of Complexity Science and Engineering University of Tokyo Kashiwa-shi Chiba277-8561 Japan EBSYS Wevioo Group Technopôle Elgazala El Ghazala Ariana2088 Tunisia Faculty of Systems Engineering Wakayama University Sakaedani 930 Wakayama-shi Wakayama640-8510 Japan Philips Lighting Research High Tech Campus 7 Eindhoven5656 AE Netherlands University of Electro-Communications Japan

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Three-dimensional electronic structures and the metal-insulator transition in Ruddlesden-Popper iridates

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Physical Review B 2016年第11期94卷 115103-115103页

作者： A. Yamasaki H. Fujiwara S. Tachibana D. Iwasaki Y. Higashino C. Yoshimi K. Nakagawa Y. Nakatani K. Yamagami H. Aratani O. Kirilmaz M. Sing R. Claessen H. Watanabe T. Shirakawa S. Yunoki A. Naitoh K. Takase J. Matsuno H. Takagi A. Sekiyama Y. Saitoh Faculty of Science and Engineering Konan University Kobe 658-8501 Japan Graduate School of Engineering Science Osaka University Toyonaka Osaka 560-8531 Japan Graduate School of Natural Science Konan University Kobe 658-8501 Japan Physikalisches Institut and Röntgen Center for Complex Material Systems (RCCM) Universität Würzburg D-97074 Würzburg Germany Waseda Institute for Advanced Study Shinjuku Tokyo 169-8050 Japan RIKEN Center for Emergent Matter Science (CEMS) Wako Saitama 351-0198 Japan College of Science and Technology Nihon University Chiyoda Tokyo 101-8308 Japan Department of Physics University of Tokyo Tokyo 113-0033 Japan Max-Plank-Institute for Solid State Research D-70569 Stuttgart Germany Materials Science Research Center Japan Atomic Energy Agency SPring-8 Hyogo 679-5148 Japan

In this study, we systematically investigate three-dimensional (3D) momentum (ℏk)-resolved electronic structures of Ruddlesden-Popper-type iridium oxides Srn+1IrnO3n+1 using soft-x-ray (SX) angle-resolved photoemission spectroscopy (ARPES). Our results provide direct evidence of an insulator-to-metal transition that occurs upon increasing the dimensionality of the IrO2-plane structure. This transition occurs when the spin-orbit-coupled jeff=1/2 band changes its behavior in the dispersion relation and moves across the Fermi energy. In addition, an emerging band along the Γ(0,0,0)-R(π,π,π) direction is found to play a crucial role in the metallic characteristics of SrIrO3. By scanning the photon energy over 350 eV, we reveal the 3D Fermi surface in SrIrO3 and kz-dependent oscillations of photoelectron intensity in Sr3Ir2O7. In contrast to previously reported results obtained using low-energy photons, folded bands derived from lattice distortions and/or magnetic ordering make significantly weak (but finite) contributions to the k-resolved photoemission spectrum. At the first glance, this leads to the ambiguous result that the observed k-space topology is consistent with the unfolded Brillouin zone (BZ) picture derived from a nonrealistic simple square or cubic Ir lattice. Through careful analysis, we determine that a superposition of the folded and unfolded band structures has been observed in the ARPES spectra obtained using photons in both ultraviolet and SX regions. To corroborate the physics deduced using low-energy ARPES studies, we propose to utilize SX-ARPES as a powerful complementary technique, as this method surveys more than one whole BZ and provides a panoramic view of electronic structures.

关键词： Electronic structure Metal-insulator transition Spin-orbit coupling Strongly correlated systems Photoemission spectroscopy

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Energy calibration of CALET onboard the international space station

arXiv

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arXiv 2017年

作者： Asaoka, Y. Akaike, Y. Komiya, Y. Miyata, R. Torii, S. Adriani, O. Asano, K. Bagliesi, M.G. Bigongiari, G. Binns, W.R. Bonechi, S. Bongi, M. Brogi, P. Buckley, J.H. Cannady, N. Castellini, G. Checchia, C. Cherry, M.L. Collazuol, G. Di Felice, V. Ebisawa, K. Fuke, H. Guzik, T.G. Hams, T. Hareyama, M. Hasebe, N. Hibino, K. Ichimura, M. Ioka, K. Ishizaki, W. Israel, M.H. Javaid, A. Kasahara, K. Kataoka, J. Kataoka, R. Katayose, Y. Kato, C. Kawanaka, N. Kawakubo, Y. Kitamura, H. Krawczynski, H.S. Krizmanic, J.F. Kuramata, S. Lomtadze, T. Maestro, P. Marrocchesi, P.S. Messineo, A.M. Mitchell, J.W. Miyake, S. Mizutani, K. Moiseev, A.A. Mori, K. Mori, M. Mori, N. Motz, H.M. Munakata, K. Murakami, H. Nakagawa, Y.E. Nakahira, S. Nishimura, J. Okuno, S. Ormes, J.F. Ozawa, S. Pacini, L. Palma, F. Papini, P. Penacchioni, A.V. Rauch, B.F. Ricciarini, S. Sakai, K. Sakamoto, T. Sasaki, M. Shimizu, Y. Shiomi, A. Sparvoli, R. Spillantini, P. Stolzi, F. Takahashi, I. Takayanagi, M. Takita, M. Tamura, T. Tateyama, N. Terasawa, T. Tomida, H. Tsunesada, Y. Uchihori, Y. Ueno, S. Vannuccini, E. Wefel, J.P. Yamaoka, K. Yanagita, S. Yoshida, A. Yoshida, K. Yuda, T. Research Institute for Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan JEM Mission Operations and Integration Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency 2-1-1 Sengen Tsukuba Ibaraki305-8505 Japan Universities Space Research Association 7178 Columbia Gateway Drive ColumbiaMD21046 United States CRESST Astroparticle Physics Laboratory NASA GSFC GreenbeltMD20771 United States School of Advanced Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan University of Florence Via Sansone 1 Sesto Fiorentino50019 Italy Institute for Cosmic Ray Research University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa Chiba277-8582 Japan University of Siena Rettorato via Banchi di Sotto 55 Siena53100 Italy Department of Physics Washington University One Brookings Drive St. LouisMO63130-4899 United States Department of Physics and Astronomy Louisiana State University 202 Nicholson Hall Baton RougeLA70803 United States Department of Physics and Astronomy University of Padova Via Marzolo 8 Padova35131 Italy University of Rome Tor Vergata Via della Ricerca Scientifica 1 Rome00133 Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo Sagamihara Kanagawa252-5210 Japan Department of Physics University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States St. Marianna University School of Medicine 2-16-1 Sugao Miyamae-ku Kawasaki Kanagawa216-8511 Japan Kanagawa University 3-27-1 Rokkakubashi Kanagawa Yokohama Kanagawa221-8686 Japan Faculty of Science and Technology Graduate School of Science and Technology Hirosaki University 3 Bunkyo Hirosaki Aomori036-8561 Japan Yukawa Institute for Theoretical Physics Kyoto University Kitashirakawa Oiwakecho Sakyo Kyoto606-8502 Japan National Institute of Polar Research 10-3 Midori-cho Tachikawa Tokyo190-8518 Japan Facu

In August 2015, the CALorimetric Electron Telescope (CALET), designed for long exposure observations of high energy cosmic rays, docked with the International Space Station (ISS) and shortly thereafter began to collect data. CALET will measure the cosmic ray electron spectrum over the energy range of 1 GeV to 20 TeV with a very high resolution of 2% above 100 GeV, based on a dedicated instrument incorporating an exceptionally thick 30 radiationlength calorimeter with both total absorption and imaging (TASC and IMC) units. Each TASC readout channel must be carefully calibrated over the extremely wide dynamic range of CALET that spans six orders of magnitude in order to obtain a degree of calibration accuracy matching the resolution of energy measurements. These calibrations consist of calculating the conversion factors between ADC units and energy deposits, ensuring linearity over each gain range, and providing a seamless transition between neighboring gain ranges. This paper describes these calibration methods in detail, along with the resulting data and associated accuracies. The results presented in this paper show that a sufficient accuracy was achieved for the calibrations of each channel in order to obtain a suitable resolution over the entire dynamic range of the electron spectrum measurement. Copyright © 2017, The Authors. All rights reserved.

关键词： Calorimeters

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A pruning method based on weight variation information for feedforward neural networks 4

A pruning method based on weight variation information for f...

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4th IFAC Conference on Analysis and control of Chaotic systems, CHAOS 2015

作者： Tong, Zhiqiang Tanaka, Gouhei Department of Electrical Engineering and Information Systems Graduate School of Engineering University of Tokyo Tokyo113-8656 Japan Institute for Innovation in International Engineering Education Graduate School of Engineering University of Tokyo Tokyo113-8656 Japan Institute of Industrial Science University of Tokyo Tokyo153-8505 Japan

Artificial neural networks are powerful tools for many information processing tasks such as pattern recognition, data mining, optimization, and prediction. It is a significant problem to find optimal structures of artificial neural networks for drawing out their high computational performance. Downsizing of network structure is also an issue to be considered for hardware implementation of largescale neural networks. In this study, we propose a pruning method to find a compact structure of feedforward neural networks with high generalization ability in classification problems. Our method evaluates the significance of neuron nodes using the information on weight variation in the training process and prune the insignificant nodes preferentially unless the classification accuracy is degraded. Numerical experiments with several benchmark datasets show that the proposed method is effective compared with other methods. © 2015, IFAG (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Feedforward neural networks

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Tactile emotional factors for in-vehicle surface materials

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ICIC Express Letters, Part B: Applications 2016年第8期7卷 1699-1704页

作者： Jung, Jiyeon Hwang, Jihong Park, Taezoon Hwang, Wonil Graduate School of Nano IT Design Fusion Seoul National University of Science and Technology 232 Gongneung-Ro Nowon-Gu Seoul01811 Korea Republic of Department of Mechanical System Design Engineering Seoul National University of Science and Technology 232 Gongneung-Ro Nowon-Gu Seoul01811 Korea Republic of Department of Industrial and Information Systems Engineering Soongsil University 369 Sangdo-Ro Dongjak-Gu Seoul06978 Korea Republic of

Automobile drivers and passengers feel tactile emotions from surface texture of in-vehicle materials, and it affects satisfaction of automobile users. Prior studies have examined a variety of emotional dimensions, including ‘rough-smooth’, ‘hard-soft’, ‘sticky-slippery’ and ‘warm-cold’, from various kinds of surface materials, but there were few studies that considered the characteristics of surface texture and its usage context. This study focused on investigating tactile emotional factors of in-vehicle surface textures. The experiments were conducted with 17 participants and 10 types of acrylonitrile butadiene styrene (ABS) resin-based material samples. Each of participants was asked to respond to the agreeability of 16 emotional expressions after feeling each of material samples. From the factor analysis, three tactile emotional factors, such as factor 1 (smooth/slippery/cold), factor 2 (soft/warm/sticky) and factor 3 (hard), were derived and validated by showing good internal consistency. It is concluded that automobile users mainly feel three kinds of emotions from surface textures of ABS resin-based in-vehicle materials. © 2016 ICIC International.

关键词： ABS resins

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Magnetoelectricity: Unleashing the Full Potential of Magnetoelectric Coupling in Film Heterostructures (Adv. Mater. 10/2017)

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advanced Materials 2017年第10期29卷

作者： Haribabu Palneedi Deepam Maurya Gi‐Yeop Kim Venkateswarlu Annapureddy Myoung‐Sub Noh Chong‐Yun Kang Jong‐Woo Kim Jong‐Jin Choi Si‐Young Choi Sung‐Yoon Chung Suk‐Joong L. Kang Shashank Priya Jungho Ryu Department of Materials Science and Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon 34141 South Korea Functional Ceramics Group Korea Institute of Materials Science (KIMS) Changwon 51508 South Korea Bio‐Inspired Materials and Devices Laboratory (BMDL) Center for Energy Harvesting Materials and Systems (CEHMS) Virginia Tech Blacksburg VA 24061 USA Materials Modeling and Characterization Department Korea Institute of Materials Science (KIMS) Changwon 51508 South Korea Center for Electronic Materials Korea Institute of Science and Technology (KIST) Seoul 02792 South Korea KU‐KIST Graduate School of Converging Science and Technology Korea University Seoul 02841 South Korea Graduate School of EEWS Korea Advanced Institute of Science and Technology (KAIST) Daejeon 34141 South Korea Korea Institute of Ceramic Engineering and Technology (KICET) Jinju 52851 South Korea

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A Survey on Big Data for Human Body Shape

A Survey on Big Data for Human Body Shape

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Hongli Peng Xiuqin Shang Chao Guo Gang Xiong Timo R.Nyberg Dong Fan Yiming Wang The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences Cloud Computing Center Chinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University

In recent years, the rapid development of network and E-commerce technologies, promotes the development of human body big data. New technologies, such as 3D scanning and 3D printing will improve our life quality. The new socialized manufacturing network composed of Io T, advanced logistics network and 3D printers. Everyone is allowed to have chance to participate in any process of the whole production manufacturing lifecycle by some ways, such as crowdsourcing. Boosts the creation, production and consumption patterns of individuation, real-time transformation and E-commerce, possibly will lead to a new industrial revolution. In this revolutionary change wave, public concerns focus on the human body big data used for social manufacturing of wearable products or personalized medical treatment. Although many scholars have done a lot of research work, the collection of the human body shape big data still faces many challenges. There is no complete, separated theoretical research works in progress, it should be summarized and improved systematically. In this paper, we review that big data for human body shape is gaining momentum. The 3D scanning and 3D modeling of human body shape are summarized and concluded. The main applications of these big data are analyzed.

关键词： big data human body shape 3D scanning 3D modeling clothing footwear mass customization

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1S-A1-2Innovate Electron Beam by GaN Semiconductor Photocathodes Conducive to Single Shot Imaging

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Microscopy 2017年第SUPPL_1期66卷 i6-i6页

作者： Nishitani, Tomohiro Narita, Akihiro Tomita, Takeshi Kitamura, Shin-ichi Meguro, Takashi Iijima, Hokuto Fuchi, Shingo Tabuchi, Masao Honda, Yoshio Amano, Hiroshi Institute for Advanced Research Synchrotron Radiation Research center Nagoya University Aichi Japan Graduate School of Sciences The Structural Biology Research Center and Division of Biological Science Nagoya University Aichi Japan JEOL Ltd. Tokyo Japan Department of Physics Faculty of Science Division II Tokyo University of Science Tokyo Japan College of Science and Engineering Aoyama Gakuin University Kanagawa Japan Institute of Materials and Systems for Sustainability Nagoya University Aichi Japan.

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PB-13An Approach to Structural Analysis of a Small Membrane Protein KcsA by Cryo-electron Microscopy

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Microscopy 2017年第SUPPL_1期66卷 i39-i39页

作者： Takazaki, Hiroko Shimizu, Hirofumi Kajimura, Naoko Mitsuoka, Kaoru Yasunaga, Takuo Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Japan Department of Molecular Physiology and Biophysics Faculty of Medical Sciences University of Fukui Fukui Japan and Research Center for Ultra-High Voltage Electron Microscopy Osaka University Osaka Japan.

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The Application of the Depth Camera in the Social Manufacturing: A review

The Application of the Depth Camera in the Social Manufactur...

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Zhen Liang Ni Zhen Shen Chao Guo Gang Xiong Timo R.Nyberg Xiuqin Shang Shuangshuang Li Yiming Wang The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Cloud Computing Center Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University

In recent years, the Information Technology develops rapidly. With the development of the Information Technology, the social manufacturing, a new mode of manufacturing, has been proposed. The social manufacturing combines the Internet technology, the three-dimensional scanning technology and the virtual reality technology, and is used in the apparel industry and other fashion industries for the mass customization. The three-dimensional scanning technology and the virtual fitting mirror technology are inseparable from the depth camera. Depth cameras play an important role in the social manufacturing. Manufacturers use depth cameras to obtain three-dimensional models of the body of customers to design suitable clothes. Customers can visually see the effect of clothes by using a virtual fitting mirror which is based on the depth camera. The social manufacturing makes mass customization possible, and the depth camera help develop the social manufacturing. This paper introduces the principles of depth cameras, and the application of depth cameras in the social manufacturing.

关键词： social manufacturing depth camera PMD Kinect time of flight structured light

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