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International Society for Therapeutic Ultrasound Conference 2016

Journal of Therapeutic Ultrasound 2017年第1期5卷 1-114页

作者： Brian Fowlkes Pejman Ghanouni Narendra Sanghvi Constantin Coussios Paul C. Lyon Michael Gray Christophoros Mannaris Marie de Saint Victor Eleanor Stride Robin Cleveland Robert Carlisle Feng Wu Mark Middleton Fergus Gleeson Jean-Franҫois Aubry Kim Butts Pauly Chrit Moonen Jacob Vortman Shirley Sharabi Dianne Daniels David Last David Guez Yoav Levy Alexander Volovick Javier Grinfeld Itay Rachmilevich Talia Amar Zion Zibly Yael Mardor Sagi Harnof Michael Plaksin Yoni Weissler Shy Shoham Eitan Kimmel Omer Naor Nairouz Farah Dong-Guk Paeng Zhiyuan Xu John Snell Anders H. Quigg Matthew Eames Changzhu Jin Ashli C. Everstine Jason P. Sheehan Beatriz S. Lopes Neal Kassell Thomas Looi Vera Khokhlova Charles Mougenot Kullervo Hynynen James Drake Michael Slayton Richard C. Amodei Keegan Compton Ashley McNelly Daniel Latt John Kearney David Melodelima Aurelien Dupre Yao Chen David Perol Jeremy Vincenot Jean-Yves Chapelon Michel Rivoire Wei Guo Guoxin Ren Guofeng Shen Michael Neidrauer Leonid Zubkov Michael S. Weingarten David J. Margolis Peter A. Lewin Nathan McDannold Jonathan Sutton Natalia Vykhodtseva Margaret Livingstone Thiele Kobus Yong-Zhi Zhang Michael Schwartz Yuexi Huang Nir Lipsman Jennifer Jain Martin Chapman Tejas Sankar Andres Lozano Robert Yeung Christakis Damianou Nikolaos Papadopoulos Omer Brokman Eyal Zadicario Ori Brenner David Castel Shih-Ying Wu Julien Grondin Wenlan Zheng Marc Heidmann Maria Eleni Karakatsani Carlos J. Sierra Sánchez Vincent Ferrera Elisa E. Konofagou Marinos Yiannakou HongSeok Cho Hwayoun Lee Mun Han Jong-Ryul Choi Taekwan Lee Sanghyun Ahn Yongmin Chang Juyoung Park Nicholas Ellens Ari Partanen Keyvan Farahani Raag Airan Alexandre Carpentier Michael Canney Alexandre Vignot Cyril Lafon Jean-yves Delattre Ahmed Idbaih Henrik Odéen Bradley Bolster Eun Kee Jeong Dennis L. Parker Pooja Gaur Xue Feng Samuel Fielden Craig Meyer Beat Werner William Grissom Michael Marx Hans Weber Valentina Taviani Brian Hargreaves Jun Tanaka Kentaro Kikuchi Ayumu Ishijima Takashi Azuma Kosuke Minamihata Satoshi Basic Radiological Sciences Division Department of Radiology University of Michigan Ann Arbor USA Stanford School of Medicine Stanford USA SonaCare Medical Indianapolis USA Institute of Biomedical Engineering University of Oxford Oxford UK HIFU Unit Churchill Hospital Oxford UK Department of Oncology University of Oxford Oxford UK Department of Radiology Churchill Hospital Oxford UK Institut Langevin Paris France Center for Imaging Sciences Imaging Division University Medical Center Utrecht The Netherlands InSighTec Haifa Israel Sheba Medical Center Ramat-Gan Israel Tel-Aviv University Tel-Aviv Israel Faculty of Biomedical Engineering & Russell Berrie Nanotechnology Institute Technion – Israel Institute of Technology Haifa Israel ELSC Center for Brain Sciences Hebrew University Jerusalem Israel Biomedical Engineering Technion- Israel Institute of Technology Haifa Israel Faculty of Life Sciences Bar Ilan University Ramat Gan Israel Focused Ultrasound Foundation Charlottesville USA Ocean System Engineering Jeju National University Jeju Republic of Korea Neurosurgery University of Virginia Charlottesville USA Biology University of Virginia Charlottesville USA Pathology University of Virginia Charlottesville USA Hospital for Sick Children Toronto Canada University of Toronto Toronto Canada University of Washington Seattle USA Philips Healthcare Markham Canada Sunnybrook Research Institute Toronto Canada Guided Therapy Systems LLC Mesa USA School of Medicine University of Arizona Tucson USA The CORE Institute Phoenix USA LabTAU - U1032 INSERM Lyon France Centre Leon Berard Lyon France Department of Oral Maxillofacial and Head Neck Oncology Shanghai 9th People’s Hospital Shanghai China The School of Biomedical Engineering Science and Health Systems Drexel University Philadelphia USA Department of Surgery College of Medicine Drexel University Philadelphia USA Biostatistics and Epidemiology University of Pennsylvania Philadelphi

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Cross-platform parallel programming in PARRAY: A case study

Cross-platform parallel programming in PARRAY: A case study

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11th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2014

作者： Cui, Xiang Li, Xiaowen Chen, Yifeng HCST Key Lab. School of EECS Peking University Beijing China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China Air Defense Forces Academy Zhengzhou China College of Computer and Information Engineering Henan University Kaifeng China

ISBN: (纸本)9783662449165

PARRAY (or Parallelizing ARRAYs) is an extension of C language that supports system-level succinct programming for heterogeneous parallel systems. Parray extends mainstream C programming with novel array types. This leads to shorter, more portable and maintainable parallel codes, while the programmer still has control over performance-related features necessary for deep manual optimization. This paper uses the case study on stepwise program refinement of matrix transposition to illustrate the basic techniques of PARRAY programming. © 2014 IFIP International Federation for Information Processing.

关键词： Parallel programming

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

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BMC Neurosci 2017年第SUPPL 1期18卷 58-58页

作者： Sue Denham Panayiota Poirazi Erik De Schutter Karl Friston Ho Ka Chan Thomas Nowotny Dongqi Han Sungho Hong Sophie Rosay Tanja Wernle Alessandro Treves Sarah Goethals Romain Brette Tomas Van Pottelbergh Rodolphe Sepulchre Alex D. Bird Hermann Cuntz Pedro J. Gonçalves Jan-Matthis Lueckmann Giacomo Bassetto Marcel Nonnenmacher Jakob H. Macke Audrey J. Sederberg Jason N. MacLean Stephanie E. Palmer Ulisse Ferrari Christophe Gardella Olivier Marre Thierry Mora Emina Ibrahimovic Martin Müller Jean-Pascal Pfister Tushar Chauhan Timothée Masquelier Alexandre Montlibert Benoit R. Cottereau Moritz Helias Jannis Schuecker David Dahmen Sven Goedeke Alexandre Hyafil Ainhoa Hermoso-Mendizabal Pavel E. Rueda-Orozco Santiago Jaramillo David Robbe Jaime de la Rocha Marie Rooy Fani Koukouli David DiGregorio Uwe Maskos Boris Gutkin Andrey Yu Verisokin Darya V. Verveyko Dmitry E. Postnov Willy Wong Omid Talakoub Robert Chen Milos Popovic Dmitriy Lisitsyn Eric Drebitz Iris Grothe Sunita Mandon Andreas Kreiter Udo Ernst Peter A. Robinson Xuelong Zhao Kevin M. Aquino John D. Griffiths Grishma Mehta-Pandejee Natasha Gabay James MacLaurin Somwrita Sarkar Tim Kunze Jens Haueisen Thomas R. Knösche Subutai Ahmad Yuwei Cui Marcus Lewis Jeff Hawkins Simona Olmi Spase Petkoski Fabrice Bartolomei Maxime Guye Viktor Jirsa Hazem Toutounji Daniel Durstewitz Matteo Cantarelli Adrian Quintana Boris Marin Matt Earnshaw Padraig Gleeson Robert Court Robert McDougal R. Angus Silver Salvador Dura-Bernal Stephen Larson William W. Lytton Giovanni Idili Lorenzo Posani Simona Cocco Karel Ježek Rémi Monasson School of Psychology Faculty of Health & Human Sciences Plymouth University Plymouth Devon PL4 8AA UK Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Heraklion Crete Greece Okinawa Institute of Science and Technology Graduate University Okinawa Japan Wellcome Trust Centre for Neuroimaging Institute of Neurology UCL London WC1N 3BG UK School of Engineering and Informatics University of Sussex Brighton BN1 9QJ UK Graduate School Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Computational Neuroscience Unit Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Cognitive Neuroscience Area Scuola Internazionale Superiore di Studi Avanzati Trieste 34136 Italy Kavli Institute for Systems Neuroscience NTNU Trondheim 7030 Norway Institut de la Vision Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Paris 75012 France Department of Engineering University of Cambridge Cambridge Cambridgeshire CB2 1PZ UK Ernst Strüngmann Institute for Neuroscience Max Planck Society Frankfurt Germany Frankfurt Institute for Advanced Studies Frankfurt Germany Neural Systems Analysis Research Center Caesar An Associate of the Max Planck Society Bonn Germany Max Planck Institute for Biological Cybernetics Tübingen Germany Bernstein Center for Computational Neuroscience Tübingen Germany Present Address: Biomedical Engineering Department Georgia Institute of Technology Atlanta GA 30306 USA Department of Neurobiology University of Chicago Chicago IL 60637 USA Department of Organismal Biology and Anatomy University of Chicago Chicago IL 60637 USA Committee on Computational Neuroscience University of Chicago Chicago IL 60637 USA Institut de la Vision Sorbonne Universités INSERM Paris France Laboratoire de Physique Statistique Ecole Normale Supérieure Paris France Institute of Molecular Life Sciences University of Zürich 8057 Zürich Switzerland Institute of Neuroinformatics Univer

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Paper No P01: Nonspecular Reflectors Using One-Step Spray Coating for Brightness Enhancement in Reflective Displays

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SID Symposium Digest of Technical Papers 2015年第S1期46卷

作者： Su Pan Hoi-Sing Kwok State Key Lab on Advanced Displays and Optoelectronics Department of Electronic and Computer Engineering Hong Kong University of Science & Technology Clear Water Bay Kowloon Hong Kong

We proposed a novel method to fabricate nonspecular reflectors by spray coating system, which are applied to enhance brightness near normal view direction when light is obliquely incident. Fabrication parameters are o...

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A Broadband Metasurface-Based Terahertz Flat-Lens Array

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advanced Optical Materials 2015年第6期3卷 779-785页

作者： Wang, Qiu Zhang, Xueqian Xu, Yuehong Tian, Zhen Gu, Jianqiang Yue, Weisheng Zhang, Shuang Han, Jiaguang Zhang, Weili Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering Tianjin Univ. and the Key Lab. of Optoelectronics Inf. and Technol. Tianjin (Ministry of Education) Tianjin 300072 China Advanced Nanofabrication and Imaging Core Lab King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia School of Physics and Astronomy University of Birmingham Birmingham B15 2TT United Kingdom School of Electrical and Computer Engineering Oklahoma State University Stillwater 74078 OK United States

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Production pulling and line feeding service for automotive assembly

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Key engineering Materials 2014年 579-580卷 325-330页

作者： Zheng, Yu He, Changpeng Xue, Li Computer Integrated Manufacturing Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China Shanghai Key Lab of Advanced Manufacturing Environment shanghai 200030 China Sino-US Global Logistics Institute Shanghai Jiao Tong University Shanghai 200030 China Shanghai Anji-Suchi logistics co. LTD Shanghai 201805 China

ISBN: (纸本)9783037858271

With the large scale automotive production and high flexible assembly line, the OEMs have the new challenge on real-time material replenishment. This paper analyzes the current research and application on material replenishment model, line feeding strategies, and distribution control. A TPL based assembly line feeding service frame is proposed. The mode, calculation logic and service flow of material line feeding are discussed in detail. The application results shows that it can satisfy the assembly line real-time material replenishment requirements, reduce the inventory by the line, and further balance the volatility of production material pulling. And through it, the TPL also expands its value-added service content.

关键词： Supply chains

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Organic light-emitting diodes fabricated on nanostructured AZO: A low-cost way towards enhanced light extraction for large area lighting application

Organic light-emitting diodes fabricated on nanostructured A...

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2014 SID International Symposium

作者： Jiang, Yibin Li, Guijun Li, He Chen, Shuming Kwok, Hoi-Sing Department of Electronic and Computer Engineering State Key Lab on Advanced Displays and Optoelectronics Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Department of Electrical and Electronic Engineering South University of Science and Technology of China Shenzhen 518055 China

Organic light-emitting diodes (OLEDs) were fabricated on nanostructured aluminum doped zinc oxide (AZO). The nanostructured AZO was formed by selectively etching as- prepared AZO film. The nanostructured AZO serves not only as low-cost indium-free anode but also as internal light extraction structure. OLEDs on it showed a 25.7% efficiency enhancement compared to the conventional ones. © 2014 SID.

关键词： Zinc oxide

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Multi-task rank learning for image quality assessment

Multi-task rank learning for image quality assessment

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Long Xu Jia Li Weisi Lin Yongbing Zhang Lin Ma Yuming Fang Yun Zhang Yihua Yan National Astronomical Observatories Chinese Academy of Sciences Beijing China International Research Institute for Multidisciplinary Science at Beihang University Beijing China Department of Computer Engineering Nanyang Technological University Singapore Graduate School at Shenzhen Tsinghua University Shenzhen China Huawei Noah's Ark Lab Hong Kong School of Information Technology Jiangxi University of Finance and Economics Nanchang China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

In practice, multiple types of distortions are associated with an image quality degradation process. The existing machine learning (ML) based image quality assessment (IQA) approaches generally established a unified model for all distortion types, or each model is trained independently for each distortion type by using single-task learning, which lead to the poor generalization ability of the models as applied to practical image processing. There are often the underlying cross relatedness amongst these single-task learnings in IQA, which is ignored by the previous approaches. To solve this problem, we propose a multi-task learning framework to train IQA models simultaneously across individual tasks each of which concerns one distortion type. These relatedness can be therefore exploited to improve the generalization ability of IQA models from single-task learning. In addition, pairwise image quality rank instead of image quality rating is optimized in learning task. By mapping image quality rank to image quality rating, a novel no-reference (NR) IQA approach can be derived. The experimental results confirm that the proposed Multi-task Rank Learning based IQA (MRLIQ) approach is prominent among all state-of-the-art NR-IQA approaches.

关键词： Distortion Training Image quality Transform coding Support vector machines Optimization Databases

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Analysis and development of an axial flux magnetic gear

Analysis and development of an axial flux magnetic gear

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作者： Johnson, Matthew Shapoury, Alireza Boghrat, Pedram Post, Mike Toliyat, Hamid A. Advanced Electric Machines and Power Electronics Lab. Department of Electrical and Computer Engineering Texas A and M University College StationTX77843-3128 United States Integrated Systems Division Physical Optics Corporation TorranceCA90501-1510 United States

ISBN: (纸本)9781479956982

The vast majority of the existing literature on magnetic gears focuses primarily on radial flux topologies;however, axial flux magnetic gears (AFMG) offer a variety of unique advantages such as the potential for multi-stage designs and the ability to easily interface with hermetically isolated systems. This paper provides a comprehensive theoretical and 3D finite element simulation analysis of the axial flux gear topology's operating principles and torque transmission characteristics. Additionally, experimental results are presented for the first known physical prototype of a basic passive axial flux magnetic gear. This experimental data validates the accuracy of the torque transmission characteristics predicted by the simulation models and verifies the gearing functionality. Furthermore, several mechanical and structural challenges associated with the construction and evaluation of the experimental prototype are detailed for the benefit of future work. © 2014 IEEE.

关键词： Finite element method

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A Soft-Switched Highly Reliable Grid-Tied Inverter for PV Applications

A Soft-Switched Highly Reliable Grid-Tied Inverter for PV Ap...

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Annual IEEE Applied Power Electronics Conference and Exposition

作者： Hamidreza Keyhani Matthew Johnson Hamid A. Toliyat Advanced Electrical Machines & Power Electronics (EMPE) Lab. Department of Electrical & Computer Engineering Texas A&M University

ISBN: (纸本)9781479923250

This paper introduces a soft-switched high-frequency-link inverter for grid-tied PV systems. This single-stage inverter can perform the step-up/down operation and also has the ability to effectively harvest the highest possible power from the PV array. The high-frequency link is formed by an ac inductor and a small ac capacitor without the use of bulky short-life electrolytic capacitors. The link inductor is responsible for transferring the PV power to the grid while the link capacitor facilitates zero-voltage switching for the power devices. Galvanic isolation can be realized by replacing the link inductor with an air-gapped high-frequency transformer. This novel topology has seven total switches, making it suitable for low and medium power PV applications. Furthermore, the converter has a high power density and reliability due to the minimization of passive component sizes and the requisite number of power switches. The proposed PV inverter's control scheme and operating algorithm are presented, followed by a detailed design analysis. Experimental results are also provided to demonstrate the effectiveness of the proposed topology under different operating conditions.

关键词： Polydnaviridae Inventors inductors Energy sources POWER DENSITY component sizing Operating conditions Power (Psychology)

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