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arXiv 2019年

作者： Virtanen, Pauli Gommers, Ralf Oliphant, Travis E. Haberland, Matt Reddy, Tyler Cournapeau, David Burovski, Evgeni Peterson, Pearu Weckesser, Warren Bright, Jonathan van der Walt, Stéfan J. Brett, Matthew Wilson, Joshua Millman, K. Jarrod Mayorov, Nikolay Nelson, Andrew R.J. Jones, Eric Kern, Robert Larson, Eric Carey, C.J. Polat, Ilhan Feng, Yu Moore, Eric W. VanderPlas, Jake Laxalde, Denis Perktold, Josef Cimrman, Robert Henriksen, Ian Quintero, E.A. Harris, Charles R. Archibald, Anne M. Ribeiro, Antônio H. Pedregosa, Fabian van Mulbregt, Paul University of Jyväskylä University of Jyväskylä FI-40014 Finland Quansight LLC AustinTX United States Ultrasound Imaging Mayo Clinic RochesterMN55902 United States Electrical Engineering Brigham Young University ProvoUT84604 United States Enthought Inc. AustinTX78701 United States Anaconda Inc AustinTX78701 United States BioResource and Agricultural Engineering Department California Polytechnic State University San Luis ObispoCA93407 United States Department of Mathematics University of California Los AngelesCA90025 United States Los Alamos National Laboratory Los AlamosNM87544 United States Independent Researcher Higher School of Economics Myasnitskaya 20 Moscow101000 Russia Independent Researcher Saue Estonia Department of Mechanics and Applied Mathematics Institute of Cybernetics Tallinn Technical University Akadeemia Rd 21 Tallinn Estonia Independent Researcher NY United States Berkeley Institute for Data Science University of California BerkeleyCA94720 United States School of Psychology University of Birmingham Edgbaston BirmighamB15 2TT United Kingdom Division of Biostatistics University of California BerkeleyCA94720 United States WayRay LLC Skolkovo Innovation Center Moscow143026 Russia Australian Nuclear Science and Technology Organisation Locked Bag 2001 Kirrawee DCNSW2232 Australia Institute for Learning and Brain Sciences University of Washington SeattleWA98195 United States College of Information and Computing Sciences University of Massachusetts Amherst AmherstMA01002 United States Berkeley Center for Cosmological Physics University of California BerkeleyCA94720 United States Bruker Biospin Corp. 15 Fortune Drive BillericaMA01821 United States University of Washington SeattleWA98195 United States New Technologies - Research Centre University of West Bohemia Univerzitní 8 Plzeň306 14 Czech Republic Oden Institute for Computational Engineering and Sciences University of Texas at Austin AustinTX7

SciPy is an open source scientific computing library for the Python programming language. SciPy 1.0 was released in late 2017, about 16 years after the original version 0.1 release. SciPy has become a de facto standard for leveraging scientific algorithms in the Python programming language, with more than 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories, and millions of downloads per year. This includes usage of SciPy in almost half of all machine learning projects on GitHub, and usage by high profile projects including LIGO gravitational wave analysis and creation of the first-ever image of a black hole (M87). The library includes functionality spanning clustering, Fourier transforms, integration, interpolation, file I/O, linear algebra, image processing, orthogonal distance regression, minimization algorithms, signal processing, sparse matrix handling, computational geometry, and statistics. In this work, we provide an overview of the capabilities and development practices of the SciPy library and highlight some recent technical developments. Copyright © 2019, The Authors. All rights reserved.

关键词： Open source software

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Thermal current-induced charge redistribution in wide CVD-grown graphene constriction

Thermal current-induced charge redistribution in wide CVD-gr...

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Indium Phosphide and Related Materials Conference

作者： Chiashain Chuang Tak-Pong Woo Fan-Hung Liu Masahiro Matsunaga Yuichi Ochiai Chi-Te Liang Nubuyuki Aoki Graduate School of Advanced Integration Science Chiba University Chiba Japan The Germination Program Office Science & Technology Policy Research and Information Center Taipei Taiwan Department of Physics National Taiwan University Taipei Taiwan Graduate Institute of Applied Physics National Taiwan University taipei Taiwan

ISBN: (纸本)9781509019656

Chemical vapor deposition (CVD) graphene would find great applications in industrial graphene-based electronics recently. Most importantly, the one-dimensional constriction of CVD graphene due to its grain boundaries and merged domains revealing interesting interference effects, like Aharonov-Bohm effect. Such interesting interference transport behavior can be revealed by low-temperature scanning gate microscopy (LT-SGM) and be numerical simulated about the dynamic transport point of view by mean-field Gross-Pitaevskii equation. In order to realize graphene-based quantum transport device, our results suggested that the supplying additional thermal current could flood into the grain boundaries and merged domains in one-dimensional quantum confined CVD graphene so as to suppress the interference effect, a great discovery for graphene-based materials coherent electronic devices.

关键词： Graphene Interference Grain boundaries Logic gates Scanning electron microscopy Compounds

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The gravitational field equations of a twisted skyrmion string: numerical solution

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Journal of Physics: Conference Series 2017年第1期795卷

作者： Miftachul Hadi Malcolm Anderson Andri Husein Department of Mathematics Universiti Brunei Darussalam NEGARA BRUNEI DARUSSALAM Physics Research Centre Indonesian Institute of Sciences (LIPI) INDONESIA School of Physics Ulsan National Institute of Science and Technology (UNIST) SOUTH KOREA Institute of Modern Physics Chinese Academy of Sciences Lanzhou CHINA Physics Department of Post Graduate Program Sebelas Maret University INDONESIA

We study nonlinear sigma model, especially Skyrme model with twist: twisted Skyrmion string where twist term, mkz, is indicated in vortex solution. To add gravity, we replace gμv in Lagrangian system with a space-time metric tensor, gμv which in view of the time-independence and cylindrical symmetry of the assumed vortex solution is taken to be a function of r alone. We use ode45 for numerical calculation, i.e. a tool box in Matlab to solve coupled Einstein field equations which have ordinary differential equations (ODE) form.

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A driving assistance for a powered wheelchair with a walking partner

A driving assistance for a powered wheelchair with a walking...

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IEEE International Conference on Industrial technology (ICIT)

作者： Tsukasa Kobayashi Daisuke Chugo Sho Yokota Satoshi Muramatsu Hiroshi Hashimoto Graduate School of Science and Technology Kwansei Gakuin University Sanda Hyogo Japan School of Information Science and Technology Tokai University Hiratsuka Kanagawa Japan Department of Mechanical Engineering Toyo University Kawagoe Saitama Japan Master Program of Innovation for Design and Engineering Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (纸本)9781467380768

Accompanying a person is one of the core capacities of a personal mobility vehicle and demands a smooth movement function with collision avoidance. In previous studies on a personal mobility vehicle, a vehicle moves in synchrony with a walking partner. However, in some cases, especially where potentially dangerous obstacles appear in the environment, a vehicle should lead its partner. In this case, a vehicle that leads its partner in appropriate environments should also enable smoother and more effective movement with the partner. This, this study aims to develop a motion design that realizes smooth cooperative movement with a human partner for a personal mobility vehicle. Our proposed vehicle not only estimates its partner's intention and moves accordingly but also reveals its own intention to the partner. To realize this objective, we investigate conditions that induce the partner's movements and propose a motion design that follows the partner's intended movement. Our proposed method is installed in our omni-directional prototype vehicle and evaluated its effectiveness in experiments.

关键词： Vehicles Legged locomotion Prototypes Force Wheelchairs Estimation

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Application of Interpolation Image by using Bi-Cubic Algorithm

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Journal of Physics: Conference Series 2018年第1期1114卷

作者： Dahlan Abdullah F Fajriana M Maryana Lidya Rosnita Andysah Putera Utama Siahaan Robbi Rahim P Harliana H Harmayani Zainuddin Ginting Cut Ita Erliana Defi Irwansyah Z Zulmiardi Muammar Khaddafi Feby Milanie Henry Aspan Ismul Huda Kundharu Saddhono Indrya Mulyaningsih Roy Marthen Moonti Parwito Hardianto Djanggih Ainna Amalia Edy Winarno Wiwien Hadikurniawati Department of Informatics Universitas Malikussaleh Aceh Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia Department of Informatics Engineering Sekolah Tinggi Teknik Harapan Medan Indonesia Department of Informatics AMIK Intel Com Global Indo Indonesia Department of Chemical Engineering Universitas Malikussaleh Aceh Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Department of Mechanical Engineering Universitas Malikussaleh Aceh Indonesia Department of Accounting Universitas Malikussaleh Aceh Indonesia Universitas Pembangunan Panca Budi Medan Indonesia Universitas Syiah Kuala Aceh Indonesia Graduate Program Universitas Sebelas Maret Surakarta Indonesia Indonesian Language Teaching Department Institut Agama Islam Negeri Syekh Nurjati Cirebon Indonesia Department of Law Universitas Gorontalo Gorontalo Indonesia Department of Agrotechnology Universitas Ratu Samban Bengkulu Indonesia Department of Law Universitas Tompotika Luwuk Banggai Luwuk Indonesia Islamic Institut of Miftahul Ula Kertosono Nganjuk East Java Indonesia Faculty of Information Technology Universitas Stikubank Semarang Indonesia

Image magnification is one of the branches in digital image processing that is often required in various applications such as in the field of medicine, multimedia, and in satellite imagery. As technology grows, more and more methods are used for image enlargement. In this study, the image enlargement process performs by using Bi-Cubic spline interpolation method, and the result of image try to compare between the original one and picture after enlargement.

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Informal worker phenomenon in housing construction project

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AIP Conference Proceedings 2017年第1期1903卷

作者： Maranatha Wijayaningtyas Ibrahim Sipan Kukuh Lukiyanto 1Civil Engineering Post-Graduate Program National Institute of Technology (ITN) Malang Indonesia 2Center for Real Estate Studies (CRES) Universiti Teknologi Malaysia (UTM) Johor Bahru Malaysia 3Business Creation Department Institut Teknologi Kreatif Bina Nusantara Malang Indonesia

The informal workers phenomenon on housing construction projects in Indonesia is different from workers in other sectors who would always request as permanent employees. Substantively, the informal workers are disinclined to be bound as permanent employees which different from the general labor paradigm. Hence, the objective of this study is to find out how the labour selection process, the factors that affected their performance, and the suitable wage system to achieve the target completion of housing construction project. The qualitative method is used to uncover and understand the meaning behind the phenomena (numina) of informal workers action and their influence on housing construction project which called phenomenological approach. Five informal workers and two project managers were selected as informants based on predetermined criteria with in-depth interviews. The results showed that the informal worker were more satisfied with the wage based on unit price while working in the housing construction project for the flexibility in working hours. In addition, the developer was also relieved because they only control the quality and the achievement of the project completion time which supported by informal worker leader. Therefore, these findings are beneficial for both of developer and government as policy maker to succeed the housing program in Indonesia.

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MOA-2015-BLG-337: A planetary system with a low-Mass brown dwarf/planetary boundary host,or a brown dware binary

arXiv

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arXiv 2018年

作者： Miyazaki, S. Sumi, T. Bennett, D.P. Gould, A. Udalski, A. Koshimoto, N. Nagakane, M. Rattenbury, N. Abe, F. Bhattacharya, A. Barry, R. Donachie, M. Fukui, A. Hirao, Y. Itow, Y. Kawasaki, K. Li, M.C.A. Ling, C.H. Matsubara, Y. Matsuo, T. Muraki, Y. Ohnishi, K. Ranc, C. Saito, T. Sharan, A. Shibai, H. Suematsu, H. Suzuki, D. Sullivan, D.J. Tristram, P.J. Yamada, T. Yonehara, A. Koz Lowski, S. Mróz, P. Pawlak, M. Poleski, R. Pietrukowicz, P. Skowron, J. Soszynski, I. Albrow, M.D. Chung, S.-J. Han, C. Jung, Y.K. Hwang, K.-H. Ryu, Y.-H. Shin, I.-G. Shvartzvald, Y. Yee, J.C. Zang, W. Zhu, W. Cha, S.-M. Kim, D.-J. Kim, H.-W. Kim, S.-L. Lee, D.-J. Lee, Y. Park, B.-G. Pogge, R.W. Department of Earth and Space Science Graduate School of Science Osaka University 1-1 Machikaneyama Toyonaka Osaka560-0043 Japan MOA collaboration 3Department of Physics University of Notre Dame Notre DameIN46556 United States Laboratory for Exoplanets and Stellar Astrophysics NASA/Goddard Space Flight Center GreenbeltMD20771 United States Korea Astronomy and Space Science Institute Daejon34055 Korea Republic of Department of Astronomy Ohio State University 140 W. 18th Ave. ColumbusOH43210 United States Max-Planck-Institute for Astronomy Königstuhl 17 Heidelberg69117 Germany KMTNet collaboration Warsaw University Observatory Al. Ujazdowskie 4 Warszawa00-478 Poland OGLE collaboration 11Institute of Information and Mathematical Sciences Massey University North Shore Mail Centre Private Bag 102-904 Auckland New Zealand Department of Physics University of Auckland Private Bag 92019 Auckland New Zealand Institute for Space-Earth Environmental Research Nagoya University Nagoya464-8601 Japan Okayama Astrophysical Observatory National Astronomical Observatory 3037-5 Honjo Kamogata Asakuchi Okayama719-0232 Japan Institute for Space-Earth Environmental Research Nagoya University Nagoya464-8601 Japan Nagano National College of Technology Nagano381-8550 Japan Tokyo Metropolitan College of Industrial Technology Tokyo116-8523 Japan Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo Sagamihara Kanagawa252-5210 Japan School of Chemical and Physical Sciences Victoria University Wellington New Zealand University of Canterbury Mt. John Observatory P.O. Box 56 Lake Tekapo8770 New Zealand Department of Physics Faculty of Science Kyoto Sangyo University Kyoto603-8555 Japan Department of Astronomy Ohio State University 140 W. 18th Ave. ColumbusOH43210 United States University of Canterbury Department of Physics and Astronomy Private Bag 4800 Christchurch8020 New Zealand Korea University of Sci

We report the discovery and the analysis of the short timescale binary-lens microlensing event, MOA-2015-BLG-337. The lens system could be a planetary system with a very low mass host, around the brown dwarf/planetary mass boundary, or a brown dwarf binary. We found two competing models that explain the observed light curves with companion/host mass ratios of q ∼ 0.01 and ∼ 0.17, respectively. A significant finite source effect in the best-fit planetary model (q ∼ 0.01) reveals a small angular Einstein radius of θE 0.03 mas which favors a low mass lens. We obtain the posterior probability distribution of the lens properties from a Bayesian analysis. The results for the planetary models strongly depend on a power-law index in planetary mass regime, αpl, in the assumed mass function. In summary, there are two solutions of the lens system: (1) a brown dwarf/planetary mass boundary object orbited by a super-Neptune (the planetary model with αpl = 0.49) and (2) a brown dwarf binary (the binary model). If the planetary models are correct, this system can be one of a new class of planetary system, having a low host mass and also a planetary mass ratio (q Copyright © 2018, The Authors. All rights reserved.

关键词： Probability distributions

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Web based testing application security system using semantic comparison method

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IOP Conference Series: Materials Science and Engineering 2018年第1期420卷

作者： Akbar Iskandar Muhammad Resa Fahlepi Tuasamu Suryadi Syamsu M Mansyur Tri Listyorini Sulfikar Sallu S Supriyono Kundharu Saddhono Darmawan Napitupulu Robbi Rahim Informatics Engineering STMIK AKBA Makassar Indonesia. Graduate Program Universitas Negeri Makassar Makassar Indonesia. Informatics Engineering Universitas Maria Kudus Central Java Indonesia. Computer Information Systems Universitas Sembilan Belas November Kolaka Indonesia. Department of Geography Education Universitas Prof Dr Hazairin SH Bengkulu Indonesia. Indonesian Language Education Departement Faculty of Teacher Training and Education Universitas Sebelas Maret Surakarta Indonesia. Research Center for Quality System and Testing Technology Indonesian Institute of Sciences Indonesia. Sekolah Tinggi Ilmu Manajemen Sukma Medan Indonesia

Computer and web security system is an attempt to avoid attacks from crackers because a form and method of crime on internet network can not be predicted. Therefore, we just keep trying to use various methods in securing the system that is running. It is the same in web testing that can be accessed online by people who are not responsible from along distance to change and remove the test results or even damage the web testing system. So, the purpose of this paper is to design and implement web security testing system by using semantic comparison method to avoid structured query language injection (SQLI) attack and to do security on web testing application using Message Digest 5 encryption (MD5). Research data were obtained by using direct observation and documentation and literature review. After the design and application of the system, it can be obtained that by using semantic comparison method in web testing can prevent the occurrence of SQL injection attacks and can secure account from web testing users by using MD5.

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Publisher Correction: Alpha-synuclein facilitates to form short unconventional microtubules that have a unique function in the axonal transport

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Scientific reports 2018年第1期8卷 8019页

作者： Shiori Toba Mingyue Jin Masami Yamada Kanako Kumamoto Sakiko Matsumoto Takuo Yasunaga Yuko Fukunaga Atsuo Miyazawa Sakiko Fujita Kyoko Itoh Shinji Fushiki Hiroaki Kojima Hideki Wanibuchi Yoshiyuki Arai Takeharu Nagai Shinji Hirotsune Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. Department of Bioscience and Bioinformatics Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka Fukuoka 820-850 Japan. JST-SENTAN 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. JST-CREST 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. Graduate School of Life Science University of Hyogo 3-2-1 Kouto Kamigori-cho Ako-gun Hyogo 678-1297 Japan. RSC-University of Hyogo Leading Program Center RIKEN SPring-8 Center 1-1-1 Kouto Sayo-cho Sayo-gun Hyogo 679-5148 Japan. Graduate School of Materials Science Nara Institute of Science and Technology 8916-5 Takayama Ikoma Nara 630-0101 Japan. Department of Pathology and Applied Neurobiology Kyoto Prefectural University of Medicine Graduate School of Medical Sciences Kajii-cho Kawaramachi-Hirokoji Kamigyo-ku Kyoto 602-8566 Japan. Advanced ICT Research Institute National Institute of Information and Communications Technology 588-2 Iwaoka Nishi-ku Kobe 651-2492 Japan. Department of Pathology Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8586 Japan. Department of Biomolecular Science and Engineering Institute of Scientific and Industrial Research Osaka University Mihoga-oka 8-1 Osaka 567-0047 Japan. Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. shinjih@med.osaka-cu.ac.jp.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

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Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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Scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang Brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer Stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer Daniel Berveiller Dave Billesbach Thomas Andrew Black Peter D Blanken Gil Bohrer Julia Boike Paul V Bolstad Damien Bonal Jean-Marc Bonnefond David R Bowling Rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoit Burban Sean P Burns Pauline Buysse Peter Cale Mauro Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben R Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce D Cook David Cook Carole Coursolle Edoardo Cremonese Peter S Curtis Ettore D'Andrea Humberto da Rocha Xiaoqin Dai Kenneth J Davis Bruno De Cinti Agnes de Grandcourt Anne De Ligne Raimundo C De Oliveira Nicolas Delpierre Ankur R Desai Carlos Marcelo Di Bella Paul di Tommasi Han Dolman Francisco Domingo Gang Dong Sabina Dore Pierpaolo Duce Eric Dufrêne Allison Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz Brent Ewers Daniela Famulari Silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun Damiano Gianelle Bert Gielen Beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle Shijie Han Xingguo Han Birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn Bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski Dalibor Janouš Wilma Jans Rachhpal Jassal Shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

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