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Transient Thermal Finite Element Modeling of HTS Cable systems Cooled With Gaseous Helium

IEEE Transactions on Applied Superconductivity 2017年第4期27卷

作者： Nick G. Suttell Chul Han Kim Sastry V. Pamidi Juan Carlos Ordonez Department of Mechanical Engineering and Center for Advanced Power Systems FAMU-FSU College of Engineering Tallahassee FL USA Center for Advanced Power Systems Florida State University Tallahassee FL USA Department of Electrical and Computer Engineering and Center for Advanced Power Systems FAMU-FSU College of Engineering Tallahassee FL USA

Intensive thermal modeling for gaseous helium cooled high -temperature superconducting (HTS) power devices is necessary for understanding the dynamic thermal behavior during potential system contingencies. This paper presents a transient analysis of an HTS cable system that uses helium gas as a cryogen in a closed loop. Several system contingencies in which the system undergoes a transition that may lead to quenching are simulated. These contingencies include: a vacuum breach, cryocooler failure, and a combination of cryocooler and gas circulation impeller failure. Additionally, the thermal mass of the cable termination is varied to analyze its importance and effect on the timescale for the system to reach a critical temperature of 80 K.

关键词： Superconducting cables High-temperature superconductors Helium Power cables Copper Heating Transient analysis

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Waveforms of molecular oscillations reveal circadian timekeeping mechanisms

arXiv

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arXiv 2018年

作者： Jo, Hang-Hyun Kim, Yeon Jeong Kim, Jae Kyoung Foo, Mathias Somers, David E. Kim, Pan-Jun Asia Pacific Center for Theoretical Physics Pohang Gyeongbuk37673 Korea Republic of Department of Physics Pohang University of Science and Technology Pohang Gyeongbuk37673 Korea Republic of Department of Computer Science Aalto University EspooFI-00076 Finland Department of Molecular Genetics Ohio State University ColumbusOH43210 United States Department of Mathematical Sciences Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of School of Mechanical Aerospace and Automotive Engineering Coventry University CoventryCV1 5FB United Kingdom Department of Biology Hong Kong Baptist University Kowloon Hong Kong Center for Quantitative Systems Biology Hong Kong Baptist University Kowloon Hong Kong Institute of Computational and Theoretical Studies Hong Kong Baptist University Kowloon Hong Kong Abdus Salam International Centre for Theoretical Physics Trieste34151 Italy

Circadian clocks play a pivotal role in orchestrating numerous physiological and developmental events. Waveform shapes of the oscillations of protein abundances can be informative about the underlying biochemical processes of circadian clocks. We derive a mathematical framework where waveforms do reveal hidden biochemical mechanisms of circadian timekeeping. We find that the cost of synthesizing proteins with particular waveforms can be substantially reduced by rhythmic protein half-lives over time, as supported by previous plant and mammalian data, as well as our own seedling experiment. We also find that previously-enigmatic, cyclic expression of positive arm components within the mammalian and insect clocks allows both a broad range of peak time differences between protein waveforms and the symmetries of the waveforms about the peak times. Such various peak-time differences may facilitate tissue-specific or developmental stage-specific multicellular processes. Our waveform-guided approach can be extended to various biological oscillators, including cell-cycle and synthetic genetic oscillators. Copyright © 2018, The Authors. All rights reserved.

关键词： Proteins

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Forecasting: theory and practice

arXiv

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arXiv 2020年

作者： Petropoulos, Fotios Apiletti, Daniele Assimakopoulos, Vassilios Babai, Mohamed Zied Barrow, Devon K. Taieb, Souhaib Ben Bergmeir, Christoph Bessa, Ricardo J. Bijak, Jakub Boylan, John E. Browell, Jethro Carnevale, Claudio Castle, Jennifer L. Cirillo, Pasquale Clements, Michael P. Cordeiro, Clara Oliveira, Fernando Luiz Cyrino de Baets, Shari Dokumentov, Alexander Ellison, Joanne Fiszeder, Piotr Franses, Philip Hans Frazier, David T. Gilliland, Michael Gönül, M. Sinan Goodwin, Paul Grossi, Luigi Grushka-Cockayne, Yael Guidolin, Mariangela Guidolin, Massimo Gunter, Ulrich Guo, Xiaojia Guseo, Renato Harvey, Nigel Hendry, David F. Hollyman, Ross Januschowski, Tim Jeon, Jooyoung Jose, Victor Richmond R. Kang, Yanfei Koehler, Anne B. Kolassa, Stephan Kourentzes, Nikolaos Leva, Sonia Li, Feng Litsiou, Konstantia Makridakis, Spyros Martin, Gael M. Martinez, Andrew B. Meeran, Sheik Modis, Theodore Nikolopoulos, Konstantinos Önkal, Dilek Paccagnini, Alessia Panagiotelis, Anastasios Panapakidis, Ioannis Pavía, Jose M. Pedio, Manuela Pedregal, Diego J. Pinson, Pierre Ramos, Patrícia Rapach, David E. Reade, J. James Rostami-Tabar, Bahman Rubaszek, Michal Sermpinis, Georgios Shang, Han Lin Spiliotis, Evangelos Syntetos, Aris A. Talagala, Priyanga Dilini Talagala, Thiyanga S. Tashman, Len Thomakos, Dimitrios Thorarinsdottir, Thordis Todini, Ezio Arenas, Juan Ramón Trapero Wang, Xiaoqian Winkler, Robert L. Yusupova, Alisa Ziel, Florian School of Management University of Bath United Kingdom Politecnico di Torino Turin Italy Forecasting and Strategy Unit School of Electrical and Computer Engineering National Technical University of Athens Greece Kedge Business School France Department of Management Birmingham Business School University of Birmingham United Kingdom Belgium Faculty of Information Technology Monash University Melbourne Australia INESC TEC – Institute for Systems and Computer Engineering Technology and Science Porto Portugal Department of Social Statistics and Demography University of Southampton United Kingdom Centre for Marketing Analytics and Forecasting Lancaster University Management School Lancaster University United Kingdom School of Mathematics and Statistics University of Glasgow United Kingdom Department of Mechanical and Industrial Engineering University of Brescia Italy Magdalen College University of Oxford United Kingdom ZHAW School of Management and Law Zurich University of Applied Sciences Switzerland ICMA Centre Henley Business School University of Reading United Kingdom Faculdade de Ciências e Tecnologia Universidade do Algarve Portugal CEAUL Faculdade de Ciências Universidade de Lisboa Portugal Brazil Department of Business Informatics and Operations Management Faculty of Economics and Business Administration Universiteit Gent Belgium Let’s Forecast Australia Faculty of Economic Sciences and Management Nicolaus Copernicus University in Torun Poland Econometric Institute Erasmus School of Economics Rotterdam Netherlands Department of Econometrics and Business Statistics Monash University Melbourne Australia SAS United States Newcastle Business School Northumbria University Newcastle upon Tyne United Kingdom Department of Statistical Sciences University of Padua Italy Darden School of Business University of Virginia United States Finance Department Bocconi University Baffi-CAREFIN Centre Milan Italy Department of Tourism and Service Management MODUL Un

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases. © 2020, CC BY.

关键词： Forecasting

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A Novel Extended Potential Field Controller for Use on Aerial Robots

A Novel Extended Potential Field Controller for Use on Aeria...

引用

IEEE International Conference on Automation Science and engineering

作者： Alexander C. Woods Hung M. La Quang P. Ha Advanced Robotics and Automation Laboratory Department of Computer Science and Engineering University of Nevada Reno 89557 USA School of Electrical Mechanical and Mechatronic Systems University of Technology Sydney Australia

ISBN: (纸本)9781509024100

Unmanned Aerial Vehicles (UAV), commonly known as drones, have many potential uses in real world applications. Drones require advanced planning and navigation algorithms to enable them to safely move through and interact with the world around them. This paper presents an extended potential field controller (ePFC) which enables an aerial robot, or drone, to safely track a dynamic target location while simultaneously avoiding any obstacles in its path. The ePFC outperforms a traditional potential field controller (PFC) with smoother tracking paths and shorter settling times. The proposed ePFC's stability is evaluated by Lyapunov approach, and its performance is simulated in a Matlab environment. Finally, the controller is implemented on an experimental platform in a laboratory environment which demonstrates the effectiveness of the controller.

关键词： Drones Navigation Robot sensing systems Target tracking Stability analysis

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Quantitative comparison of technical differences in baseball batting motion by motion analysis

Quantitative comparison of technical differences in baseball...

引用

International Conference on advanced Mechatronic systems (ICAMechS)

作者： Daiki Hirayama Kosei Yoshizawa Hiroyuki Sogo Tomohiro Henmi Advanced Course in Industrial and Systems Engineering National Institute of Technology Kagawa College Takamatsu Japan Department of General Education National Institute of Technology Kagawa College Takamatsu Japan Department of Electro-mechanical Engineering National Institute of Technology Kagawa College Takamatsu Japan

In this paper, batting motions between expert baseball players and beginner players are quantitatively compared and discussed, based on Kinetic and Kinematic analysis methods by using bio-instrumentation systems. We measure batting speed, center-of-gravity movements, a rotating angle of body trunk axis and a ground reaction force as kinematic data, and muscles power of the lower limb as kinetics data by using two force plates and the motion capturing system. Comparing these data, we extract Kinematics-based and Kinetics-base comm.-on features of each expert player, respectively.

关键词： Muscles Force Sports equipment Motion measurement Kinetic theory Kinematics Cameras

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Development of draw-bending testing method using digital image correlation system

引用

AIP Conference Proceedings 2017年第1期1896卷

作者： Chiharu Sekiguchi Tomoyuki Hakoyama Toshihiko Kuwabara Hiroshi Fukiharu 1JSPS Research Fellow (Doctoral course student) Graduate School Department of Mechanical Systems Engineering Tokyo University of Agriculture and Technology 2-24-16 Naka-cho Koganei-shi Tokyo Japan 2RIKEN Center for Advanced Photonics RIKEN 2-1 Hirosawa Wako-shi Saitama 351-0198 Japan 3Division of Advanced Mechanical Systems Engineering Institute of Engineering Tokyo University of Agriculture and Technology 2-24-16 Naka-cho Koganei-shi Tokyo Japan 4Engineering Technology Division CAE Technology Department JSOL Corporation 2-5-24 Harumi Chuo-ku Tokyo Japan

A novel draw-bending testing method using a non-contact optical 3D deformation measuring system (ARAMIS®, GOM) was developed to investigate the deformation process of draw-bending. Furthermore, the accuracy of the fracture prediction based on a fracture criterion using the concept of forming limit stress was also investigated. The experimental apparatus is capable of applying draw-bending to a sheet specimen with a forming speed of 100 mm/s, which is comparable to those in real press forming operations. Specimens undergo bending-unbending under tension when passing over the die profile radius. The test materials is a 590MPa high-strength steel sheet. In order to evaluate the effect of the stress variation in the width direction of a specimen on the accuracy of the calculated draw-bending fracture stress σDB, the strain components on the upper surface of the specimen were measured using the ARAMIS® software. High-speed CMOS cameras were used to take synchronized images. The development of the strain field on the surface of the specimen was succssesfully measured. The σDB was calculated from the draw-bending force and the strain components at the moment immediately before fracture, and compared with the forming limit stress σPT measured for monotonic plane strain tension. It is concluded that the forming limit stress criterion is effective as a fracture criterion for the draw-bending of the test material.

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An emergent space for distributed data with hidden internal order through manifold learning

arXiv

引用

arXiv 2017年

作者： Kemeth, Felix P. Haugland, Sindre W. Dietrich, Felix Bertalan, Tom Höhlein, Kevin Li, Qianxiao Bollt, Erik M. Talmon, Ronen Krischer, Katharina Kevrekidis, Ioannis G. Physik-Department Nonequilibrium Chemical Physics Technische Universität München James-Franck-Str. 1 GarchingD-85748 Germany Institute for Advanced Study Technische Universität München Lichtenbergstr. 2a GarchingD-85748 Germany Department of Chemical and Biological Engineering Princeton University PrincetonNJ08544 United States Department of Chemical and Biomolecular Engineering Department of Applied Mathematics and Statistics Johns Hopkins University JHMI Department of Mechanical Engineering MIT CambridgeMA02139 United States Institute of High Performance Computing 1 Fusionopolis Way #16-16 Connexis North Singapore138632 Singapore Department of Mathematics Department of Electrical and Computer Engineering Clarkson Center for Complex Systems Science Clarkson University PotsdamNY13699-5815 United States Department of Electrical Engineering Technion Israel Institute of Technology Technion City Haifa32000 Israel

Manifold-learning techniques are routinely used in mining complex spatiotemporal data to extract useful, parsimonious data representations/parametrizations;these are, in turn, useful in nonlinear model identification tasks. We focus here on the case of time series data that can ultimately be modelled as a spatially distributed system (e.g. a partial differential equation, PDE), but where we do not know the space in which this PDE should be formulated. Hence, even the spatial coordinates for the distributed system themselves need to be identified - to "emerge from"- the data mining process. We will first validate this "emergent space" reconstruction for time series sampled without space labels in known PDEs;this brings up the issue of observability of physical space from temporal observation data, and the transition from spatially resolved to lumped (order-parameter-based) representations by tuning the scale of the data mining kernels. We will then present actual emergent space "discovery" illustrations. Our illustrative examples include chimera states (states of coexisting coherent and incoherent dynamics), and chaotic as well as quasiperiodic spatiotemporal dynamics, arising in partial differential equations and/or in heterogeneous networks. We also discuss how datadriven "spatial" coordinates can be extracted in ways invariant to the nature of the measuring instrument. Such gauge-invariant data mining can go beyond the fusion of heterogeneous observations of the same system, to the possible matching of apparently different systems. For an older version of this article, including other examples, see https://***/abs/1708.05406. Copyright © 2017, The Authors. All rights reserved.

关键词： Data mining

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3D Ear Shape Matching Using Joint -Entropy

引用

Journal of computer Science & Technology 2015年第3期30卷 565-577页

作者：孙晓鹏李思慧韩枫魏小鹏 Institute of Computer Systems School of Computer and Information Technology Liaoning Normal University Dalian 116029 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China School of Mechanical and Engineering Dalian University of Technology Dalian 116024 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Dalian 116622 China

In this article, we investigate the use of joint a-entropy for 3D ear matching by incorporating the local shape feature of 3D ears into the joint a-entropy. First, we extract a sut^cient number of key points from the 3D ear point cloud, and fit the neighborhood of each key point to a single-value quadric surface on product parameter regions. Second, we define the local shape feature vector of each key point as the sampling depth set on the parametric node of the quadric surface. Third, for every pair of gallery ear and probe ear, we construct the minimum spanning tree （MST） on their matched key points. Finally, we minimize the total edge weight of MST to estimate its joint a-entropy the smaller the entropy is, the more similar the ear pair is. We present several examples to demonstrate the advantages of our algorithm, including low time complexity, high recognition rate, and high robustness. To the best of our knowledge, it is the first time that, in computer graphics, the classical information theory of joint a-entropy is used to deal with 3D ear shape recognition.

关键词： joint a-entropy minimum spanning tree local shape feature ear matching ear recognition

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Publisher Correction: Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020

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Eye (London, England) 2024年第11期38卷 2229-2231页

作者： Konrad Pesudovs Hugh R. Taylor Tabassom Sedighi Rupert R. A. Bourne Shahina Pardhan Van Charles Lansingh John H. Kempen Ian Tapply Arthur G. Fernandes Maria Vittoria Cicinelli Alessandro Arrigo Nicolas Leveziel Serge Resnikoff Seth Flaxman Mukkharram M. Bikbov Tasanee Braithwaite Alain Bron Ching-Yu Cheng Monte A. Del Monte Joshua R. Ehrlich Leon B. Ellwein David Friedman João M. Furtado Gus Gazzard Ronnie George M. Elizabeth Hartnett Jost B. Jonas Rim Kahloun Moncef Khairallah Rohit C. Khanna Janet Leasher Julie-Anne Little Vinay Nangia Michal Nowak Tunde Peto Pradeep Ramulu Fotis Topouzis Mitiadis Tsilimbaris Ya Xing Wang Ningli Wang Paul Svitil Briant Theo Vos Katrin Burkart Kaleb Coberly Xiaochen Dai Stephen S. Lim Tomislav Mestrovic Ali H. Mokdad Christopher J. L. Murray Jaimie D. Steinmetz Awoke Misganaw Yohannes Habtegiorgis Abate Mohammad Abdollahi Mozhan Abdollahi Ayele Mamo Abebe Olumide Abiodun Richard Gyan Aboagye Woldu Aberhe Abrha Hasan Abualruz Hiwa Abubaker Ali Eman Abu-Gharbieh Salahdein Aburuz Tadele Girum Girum Adal Mesafint Molla Adane Isaac Yeboah Addo Qorinah Estiningtyas Sakilah Adnani Muhammad Sohail Afzal Muhammad Umair Shahin Aghamiri Bright Opoku Ahinkorah Aqeel Ahmad Sajjad Ahmad Ali Ahmadi Siamak Sabour Ayman Ahmed Haroon Ahmed Ahmad Samir Alfaar Abid Ali Syed Shujait Shujait Ali Awais Altaf Hubert Amu Emmanuel Manu Sofia Androudi Rodrigo Anguita Abhishek Anil Rimple Jeet Kaur Muhammad Aaqib Shamim Saeid Anvari Anayochukwu Edward Anyasodor Francis Appiah Jalal Arabloo Haleh Ayatollahi Mosab Arafat Damelash Areda Reza Arefnezhad Brhane Berhe Aregawi Akeza Awealom Asgedom Tahira Ashraf Seyyed Shamsadin Athari Bantalem Tilaye Tilaye Atinafu Birhan Tsegaw Taye Maha Moh’d Wahbi Atout Alok Atreya Ahmed Y. Azzam Hassan Babamohamadi Sara Bagherieh Yogesh Bahurupi Atif Amin Baig Shumaila Nargus Biswajit Banik Mainak Bardhan Saurav Basu Kavita Batra Nebiyou Simegnew Bayileyegn Fatemeh Bazvand Addisu Shunu Beyene Awoke Masrie Asrat Derese Devidas S. Bhagat Akshaya Srikanth Bhagavathula Pankaj Bh Medicine & Health University of New South Wales Sydney NSW Australia School of Optometry and Vision Science University of New South Wales Sydney NSW Australia School of Population and Global Health University of Melbourne Carlton VIC Australia Vision and Eye Research Institute Anglia Ruskin University Cambridge UK HelpMeSee Instituto Mexicano de Oftalmologia Santiago de Querétaro Mexico University of Miami Gables FL USA University of Utah Salt Lake City UT USA Chief Medical Office HelpMeSee New York NY USA Mexican Institute of Ophthalmology Queretaro Mexico Department of Ophthalmology Massachusetts Eye and Ear/Shepens Eye Research Institute/Harvard Medical School Boston MA USA Eye Unit MyungSung Christian Medical Center (MCM) Comprehensive Specialized Hospital and MyungSun Medical College Addis Ababa Ethiopia Department of Ophthalmology Addis Ababa University Addis Ababa Ethiopia Sight for Souls Bellevue WA USA Department of Ophthalmology Harvard University Boston MA USA Eye Unit MyungSung Medical College Addis Ababa Ethiopia Addenbrooke’s Hospital Cambridge UK Department of Ophthalmology Cambridge University Hospitals Cambridge UK Federal University of Sao Paolo Sao Paolo SP Brazil University of Calgary Calgary AB Canada Department of Ophthalmology and Visual Sciences Federal University of São Paulo Sao Paulo Brazil School of Medicine Vita-Salute San Raffaele University Milan Italy Department of Ophthalmology IRCCS San Raffaele Scientific Institute Milan Italy Department of Ophthalmology San Raffaele Scientific Institute Milano Italy IRCCS San Raffaele Scientific Institute Vita-Salute University Milan Italy Scientific Institute San Raffaele Hospital Vita-Salute University Milan Italy University of Poitiers Poitiers France CHU de Poitiers Poitiers France Ophthalmology Department CHU de Poitiers (Poitiers University Hospital) Poitiers France Unité 1084 National Institute of Health and Medical Research (INSERM) Poitiers France

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Remarks for relationship between interfacial average stress in delamination and nondimesional intensity of stress singularity for bonded strips (stress analysis based on FEM using singular element)

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Zairyo/Journal of the Society of Materials Science, Japan 2015年第12期64卷 1018-1025页

作者： Kurahashi, Takahiko Oshima, Satoshi Ibe, Kazuki Watanabe, Yutaro Kondo, Toshimi Koguchi, Hideo Department of Mechanical Engineering Nagaoka University of Technology Kamitomioka Nagaoka940-2188 Japan Department of Mechanical Engineering Nagaoka National College of Technology Nishikatakai Nagaoka940-8532 Japan Electrical and Mechanical Systems Engineering Advanced Course Advanced Course of Nagaoka National College of Technology Nishikatakai Nagaoka940-8532 Japan

In this study, we clarified relationship between the interfacial average stress and the non-dimensional intensity of stress singularity for aluminum bonded joints. In experiments, delamination tests were carried out by changing thickness of the adhesive layer, and the delamination force for each thickness of the adhesive layer was obtained. In addition, the intensity of stress singularity for each bonded joints model was computed by results of stress analysis based on the FEM using Akin singular element. Consequently, the relationship between the delamination force and the intensity of stress singularity could be obtained. However, this relation can't be directly applied to evaluate the delamination force, because the value of the order of singularity is different at each target problem. Therefore, in this study, the non-dimensional intensity of stress singularity was calculated based on applied force and characteristic length, i. e. , width and thickness of adhesive layer, and the relationship between the interfacial average stress in delamination and the non-dimensional intensity of stress singularity was finally derived. © 2015 The Society of Materials Science, Japan.

关键词： Finite element method

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