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IEEE Magnetics Society Distinguished Lecturers for 2015

IEEE Transactions on Magnetics 2014年第12期50卷

作者： Russell Cowburn Ivan K. Schuller Ludwig Schultz Bethanie Stadler Cavendish Laboratory University of Cambridge Cambridge U.K. Physics Department and Center for Advanced Nanoscience University of California-San Diego Institute of Metallic Materials Leibniz Institute of Solid State and Materials Research Dresden Germany Electrical and Computer Engineering Department University of Minnesota Minneapolis

Most thin magnetic films have their magnetization in the plane of the film because of shape anisotropy. In recent years, there has been a resurgence of interest in thin magnetic films that exhibit a magnetization easy axis along the surface normal due to so-called perpendicular magnetic anisotropy (PMA). PMA has its origins in the symmetry breaking that occurs at surfaces and interfaces and can be strong enough to dominate the magnetic properties of some material systems. In this talk, I explain the physics of such materials and show how the magnetic properties associated with PMA are often very well suited to applications. I show three different examples of real and potential applications of PMA materials: ultralow power spin-transfer-torque magnetic RAM devices for low-energy computing, three-dimensional (3-D) magnetic logic structures, and a novel form of cancer therapy.

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shimming with SAR reduction in high-field MRI

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Journal of Electromagnetic Waves & Applications 2013年第12期27卷 1521-1524页

作者： Son, H.W. Cho, Y.K. Gopinath, A. Vaughan, J.T. Lee, C.H. Yoo, H. hsyoo@ulsan.ac.kr School of Electronics Engineering College of IT Engineering Kyungpook National University Daegu Korea Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN 55455 USA School of Technology Management Ulsan National Institute of Science and Technology (UNIST) Ulsan Korea Department of Biomedical Engineering School of Electrical Engineering University of Ulsan Ulsan Korea

In high-field magnetic resonance imaging systems, parallel excitation with a multi-channel transmitter and receiver has been widely investigated to mitigateinhomogeneity. Multi-channel RF coils employed in the parallel imaging may alleviate the non-uniformity in thefield and each element can be independently controlled by adjusting the phase and amplitude of the excitation. In this paper, convex optimization for each coil elements to homogenizeand to reduceEfields is proposed. Improved homogeneity and reduced specific absorption rate over the whole field of view is achieved. [ABSTRACT FROM AUTHOR]

关键词： SYNTHETIC aperture radar MAGNETIC resonance imaging ELECTRONIC excitation RADAR transmitters RECEIVING antennas RADIO frequency PARALLELS (Geometry)

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Erratum to: Methods for evaluating medical tests and biomarkers

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Diagnostic and prognostic research 2017年第1期1卷 11页

作者： Gowri Gopalakrishna Miranda Langendam Rob Scholten Patrick Bossuyt Mariska Leeflang Anna Noel-Storr James Thomas Iain Marshall Byron Wallace Penny Whiting Clare Davenport Gowri GopalaKrishna Isabel de Salis Sue Mallett Robert Wolff Richard Riley Marie Westwood Jos Kleinen Gary Collins Hans Reitsma Karel Moons Antonia Zapf Annika Hoyer Katharina Kramer Oliver Kuss J Ensor J J Deeks E C Martin R D Riley Gerta Rücker Susanne Steinhauser Martin Schumacher Joie Ensor Kym Snell Brian Willis Thomas Debray Jon Deeks Lavinia Ferrante di Ruffano Sian Taylor-Phillips Chris Hyde Stuart A Taylor Gauraang Batnagar Lavinia Ferrante Di Ruffano Farah Seedat Aileen Clarke Sarah Byron Frances Nixon Rebecca Albrow Thomas Walker Carla Deakin Zhivko Zhelev Harriet Hunt Yaling Yang Lucy Abel James Buchanan Thomas Fanshawe Bethany Shinkins Laure Wynants Jan Verbakel Sabine Van Huffel Dirk Timmerman Ben Van Calster Aeliko Zwinderman Jason Oke Jack O'Sullivan Rafael Perera Brian Nicholson Hannah L Bromley Tracy E Roberts Adele Francis Denniis Petrie G Bruce Mann Kinga Malottki Holly Smith Lucinda Billingham Alice Sitch Oke Gerke Mie Holm-Vilstrup Eivind Antonsen Segtnan Ulrich Halekoh Poul Flemming Høilund-Carlsen Bernard G Francq Jac Dinnes Julie Parkes Walter Gregory Jenny Hewison Doug Altman William Rosenberg Peter Selby Julien Asselineau Paul Perez Aïssatou Paye Emilie Bessede Cécile Proust-Lima Christiana Naaktgeboren Joris de Groot Anne Rutjes Johannes Reitsma Emmanuel Ogundimu Jonathan Cook Yannick Le Manach Yvonne Vergouwe Romin Pajouheshnia Rolf Groenwold Karen Moons Linda Peelen Daan Nieboer Bavo De Cock Micael J Pencina Ewout W Steyerberg Jennifer Cooper Nick Parsons Chris Stinton Steve Smith Andy Dickens Rachel Jordan Alexandra Enocson David Fitzmaurice Peymane Adab Charles Boachie Gaj Vidmar Karoline Freeman Martin Connock Rachel Court Carl Moons Jessica Harris Andrew Mumford Zoe Plummer Kurtis Lee Barnaby Reeves Chris Rogers Veerle Verheyden Gianni D Angelini Gavin J Murphy Jeremy Huddy Melody Ni Katherine Good Graham Cooke 1Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 2Cochrane Netherlands Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht Netherlands. 234Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 49Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 3Cochrane Dementia and Cognitive Improvement Group University of Oxford Oxford UK. 4EPPI-Centre Department of Social Science University College London London UK. 5Division of Health and Social Care Research King's College London London UK. 6College of Computer and Information Science Northeastern University Boston USA. 13University Hospitals Bristol NHS Foundation Trust School of Social and Community Medicine Bristol UK. 275Institute of Applied Health Research University of Birmingham Birmingham UK. 9Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 10School of Social and Community Medicine University of Bristol Bristol UK. 179Institute of Applied Health Research University of Birmingham Birmingham UK. 12Kleijnen Systematic Reviews Ltd York UK. 25Research Institute for Primary Care and Health Sciences Keele University Keele UK. 188Centre for Statistics in Medicine Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK. 191Julius Center for Health Sciences and Primary Care University Medical Center Utrecht 3584 CG Utrecht Netherlands. 237Julius Center for Health Sciences and Primary Care University Medical Center Utrecht 3584 CG Utrecht Netherlands. 18Department of Medical Statistics University Medical Center Göttingen Göttingen Germany. 19Institute for B

[This corrects the article DOI: 10.1186/s41512-016-0001-y.].

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Distributed Multi-Robot Coverage using Micro Aerial Vehicles

Distributed Multi-Robot Coverage using Micro Aerial Vehicles

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Mediterranean Conference on Control & Automation

作者： A. Renzaglia L. Doitsidis S. A. Chatzichristofis A. Martinelli E. B. Kosmatopoulos Department of Computer Science & Engineering University of Minnesota Dept. of Electronics Technological Educational Institute of Crete Informatics & Telematics Institute Center for Research and Technology-Hellas (ITI-CERTH) INRIA Rhone-Alpes Dept. of Electrical and Computer Engineering Democritus University of Thrace

ISBN: (纸本)9781479909964

In this paper we present a solution to the problem of positioning a team of Micro Aerial Vehicles for a surveillance task in an environment of arbitrary and unknown morphology. The problem is addressed taking into account physical and environmental constraints like limited sensor capabilities and obstacle avoidance. The goal is to maximize the area monitored by the team, by identifying the best configuration of the team members. The proposed method is a distributed extension of our previous work based on the Cognitive Adaptive Optimization (CAO) algorithm. This distributed and scalable approach allows us to obtain coordinated and safe trajectories to accomplish the task in 3D environments. The different formulation of the problem considered in this paper allows also dealing with communication constraints. We provide extensive experimental results using data collected by a team of aerial robots and compare the efficiency of the distributed and centralized approach.

关键词： Micro aerial vehicle Distribute vehicle Obstacle avoidance Aerial robot Unmanned Aerial Vehicle Environments

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Observability Analysis of a Vision-aided Inertial Navigation System Using Planar Features on the Ground

Observability Analysis of a Vision-aided Inertial Navigation...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Ghazaleh Panahandeh Chao X. Guo Magnus Jansson Stergios I. Roumeliotis ACCESS Linnaeus Centre School of Electrical Engineering KTH Royal Institute of Technology SE-100 44 Stockholm Sweden Department of Computer Science and Engineering University of Minnesota Minneapolis MN 55455 USA

ISBN: (纸本)9781467363563

In this paper, we present an observability analysis of a vision-aided inertial navigation system (VINS) in which the camera is downward looking and observes a single point feature on the ground. In our analysis, the full INS parameter vector (including position, velocity, rotation, and inertial sensor biases) as well as the 3D position of the observed point feature are considered as state variables. In particular, we prove that the system has only three unobservable directions corresponding to global translations along the x and y axes, and rotations around the gravity vector. Hence, compared to general VINS, an advantage of using only ground features is that the vertical translation becomes observable. The findings of the theoretical analysis are validated through real-world experiments.

关键词： Inertial navigation systems Observability ground Vertical Translation State variable Cameras Theoretical analysis crop rotation

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Combined Measurement of the Higgs Boson Mass in pp Collisions at s=7 and 8 TeV with the ATLAS and CMS Experiments

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Physical Review Letters 2015年第19期114卷 191803-191803页

作者： G. Aad B. Abbott J. Abdallah O. Abdinov R. Aben M. Abolins O. S. AbouZeid H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson G. Akimoto A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos M. Alhroob G. Alimonti L. Alio J. Alison S. P. Alkire B. M. M. Allbrooke P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani A. Altheimer B. Alvarez Gonzalez D. Álvarez Piqueras M. G. Alviggi B. T. Amadio K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso N. Amram G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi M. Antonelli A. Antonov J. Antos F. Anulli M. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster O. Arnaez V. Arnal H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay B. Auerbach K. Augsten M. Aurousseau G. Avolio B. Axen M. K. Ayoub G. Azuelos M. A. Baak A. E. Baas C. Bacci H. Bachacou K. Bachas M. Backes M. Backhaus E. Badescu P. Bagiacchi P. Bagnaia Y. Bai T. Bain J. T. Baines O. K. Baker P. Balek T. Balestri F. Balli E. Banas Sw. Banerjee A. A. E. Bannoura H. S. Bansil L. Barak S. P. Baranov E. L. Barberio D. Barberis M. Barbero T. Barillari M. Barisonzi T. Barklow N. Barlow S. L. Barnes B. M. Barnett R. M. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. Bassalat A. Basye R. L. Bates S. J. Batista J. R. Batley M. Battaglia M. Bauce F. Bauer H. S. Bawa J. B. Beach CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institute of Physics Academia Sinica Taipei Taiwan Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Department of Physics University of Toronto Toronto Ontario Canada Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel CERN Geneva Switzerland Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Laboratorio de Instrumentacao e Fisica Experimental de Particulas-LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada (Spain) Portugal Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sezione di Roma Tor Vergata Roma Italy Dipartimento di Fisica Università di Roma Tor Vergata Roma Italy Fysiska institutionen Lunds universitet Lund Sweden International Center for Elementary Particle Physics and Depart

A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4ℓ decay channels. The results are obtained from a simultaneous fit to the reconstructed invariant mass peaks in the two channels and for the two experiments. The measured masses from the individual channels and the two experiments are found to be consistent among themselves. The combined measured mass of the Higgs boson is mH=125.09±0.21 (stat)±0.11 (syst) GeV.

关键词： HIGGS bosons RESEARCH COLLISIONS (Nuclear physics) ATLAS (computer program language) REST mass (Relativity) BOSONS

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A nonintrusive system for behavioral analysis of children using multiple RGB+depth sensors

A nonintrusive system for behavioral analysis of children us...

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2012 IEEE Workshop on the Applications of computer Vision, WACV 2012

作者： Walczak, Nicholas Fasching, Joshua Toczyski, William Sivalingam, Ravi Bird, Nathaniel Cullen, Kathryn Morellas, Vassilios Murphy, Barbara Sapiro, Guillermo Papanikolopoulos, Nikolaos Computer Science and Engineering University of Minnesota Minneapolis MN United States Department of Psychiatry University of Minnesota Minneapolis MN United States Electrical and Computer Engineering University of Minnesota Minneapolis MN United States Institute of Child Development University of Minnesota Minneapolis MN United States Department of Electrical and Computer Engineering Computer Science Ohio Northern University Ada OH United States

ISBN: (纸本)9781467302333

In developmental disorders such as autism and schizophrenia, observing behavioral precursors in very early childhood can allow for early intervention and can improve patient outcomes. While such precursors open the possibility of broad and large-scale screening, until now they have been identified only through experts' painstaking examinations and their manual annotations of limited, unprocessed video footage. Here we introduce a system to automate and assist in such procedures. Employing multiple inexpensive real-time rgb+depth (rgb+d) sensors recording from multiple viewpoints, our non-invasive systemnow installed at the Shirley G. Moore Lab School, a research preschool-is being developed to monitor and reconstruct the play and interactions of preschoolers. The system's role is to help in assessing the growing volumes of its on-site recordings and to provide the data needed to uncover additional neuromotor behavioral markers via techniques such as data mining. © 2012 IEEE.

关键词： Data mining

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Virtual Oscillator Control for Voltage Source Inverters

Virtual Oscillator Control for Voltage Source Inverters

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Annual Allerton Conference on Communication, Control, and Computing

作者： Sairaj V. Dhople Brian B. Johnson Abdullah O. Hamadeh the Department of Electrical and Computer Engineering at the University of Minnesota Minneapolis MN. the Power Systems Engineering Centerat the National Renewable Energy Laboratory Golden CO the Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge MA.

ISBN: (纸本)9781479934119

This paper summarizes a suite of methods that have recently been proposed for the control and synchronization of parallel single- and three-phase voltage source power electronics inverters. Inspired by the phenomenon of synchronization in networks of coupled oscillators, the premise of the proposed Virtual Oscillator Control (VOC) is to control an inverter such that it mimics the dynamics of a nonlinear oscillator. Consequently, the inverters synchronize their voltage outputs and share the load power in proportion to their power ratings without any communication. The VOC design philosophy and sufficient conditions for global asymptotic synchronization are outlined. Simulations validate the analytical results for a parallel system of three-phase inverters serving a constant-power load.

关键词： phenomenon proposed Virtual Oscillator Control dynamics

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Sub-20 nanometer single molecule imaging using mass fabricated pyramidal microstructures

Sub-20 nanometer single molecule imaging using mass fabricat...

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Frontiers in Optics, FIO 2012

作者： Lapin, Zachary J. Beams, Ryan M. Rodrigo, Sergio G. Novotny, Lukas Johnson, Tim Lindquist, Nathan Oh, Sang-Hyun The Institute of Optics University of Rochester Rochester NY United States Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN United States

We demonstrate using reproducible, mass fabricated metallic microstructures as near-field optical probes for fluorescence and Raman spectroscopy. We observe fluorescent rate enhancement up to 200-fold and sub-20 nm sp... 详细信息

ISBN: (纸本)9781557529565

关键词： Fluorescence

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On the sample complexity of robust PCA

On the sample complexity of robust PCA

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26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012

作者： Coudron, Matthew Lerman, Gilad Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA 02139 United States School of Mathematics University of Minnesota Minneapolis MN 55455 United States

ISBN: (纸本)9781627480031

We estimate the rate of convergence and sample complexity of a recent robust estimator for a generalized version of the inverse covariance matrix. This estimator is used in a convex algorithm for robust subspace recovery (i.e., robust PCA). Our model assumes a sub-Gaussian underlying distribution and an i.i.d. sample from it. Our main result shows with high probability that the norm of the difference between the generalized inverse covariance of the underlying distribution and its estimator from an i.i.d. sample of size N is of order O(N-0.5+∈) for arbitrarily small ∈ > 0 (affecting the probabilistic estimate);this rate of convergence is close to the one of direct covariance estimation, i.e., O(N-0.5). Our precise probabilistic estimate implies for some natural settings that the sample complexity of the generalized inverse covariance estimation when using the Frobenius norm is O(D2+δ) for arbitrarily small δ > 0 (whereas the sample complexity of direct covariance estimation with Frobenius norm is O(D2)). These results provide similar rates of convergence and sample complexity for the corresponding robust subspace recovery algorithm. To the best of our knowledge, this is the only work analyzing the sample complexity of any robust PCA algorithm.

关键词： Covariance matrix

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