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Cardiovascular magnetic resonance myocardial feature tracking for the measurement of myocardial twist and untwist at rest and during dobutamine stress in healthy volunteers

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Journal of Cardiovascular Magnetic Resonance 2014年第SUPPL 1期16卷 P14-P14页

作者： Pablo Lamata Shazia T Hussain Shelby Kutty Michael Steinmetz Jan M Sohns Martin Fasshauer Wieland Staab Christina Unterberg-Buchwald Joachim Lotz Andreas Schuster Department of Computer Science University of Oxford Oxford UK Dept. of Biomedical Engineering St Thomas' Hospital King's College London UK Papworth Hospital NHS Trust Papworth Everard Cambridgeshire UK Children's Hospital and Medical Center University of Nebraska College of Medicine Omaha Nebraska USA Department of Pediatric Cardiology and Intensive Care Medicine and Heart Research Center Georg-August-University Göttingen Germany Institute for Diagnostic and Interventional Radiology Georg-August-University Göttingen Germany Department of Cardiology and Pneumology and German Centre for Cardiovascular Research Georg-August-University Göttingen Germany

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A Push-Relabel-Based Maximum Cardinality Bipartite Matching Algorithm on GPUs

A Push-Relabel-Based Maximum Cardinality Bipartite Matching ...

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International Conference on Parallel Processing (ICPP)

作者： Mehmet Deveci Kamer Kaya Bora Ucar Ümit V. Çatalyürek Dept. of Computer Science and Engineering Dept. of Biomedical Informatics CNRS and LIP ENS Lyon France Ecole normale superieure de Lyon Lyon RhÃ´ne-Alpes FR

We design, develop, and evaluate an atomic- and lock-free GPU implementation of the push-relabel algorithm in the context of finding maximum cardinality matchings in bipartite graphs. The problem has applications on computer science, scientific computing, bioinformatics, and other areas. Although the GPU parallelization of the push-relabel technique has been investigated in the context of flow algorithms, to the best of our knowledge, ours is the first study which focuses on the maximum cardinality matching. We compare the proposed algorithms with serial, multicore, and many core bipartite graph matching implementations from the literature on a large set of real-life problems. Our experiments show that the proposed pushrelabel-based GPU algorithm is faster than the existing parallel and sequential implementations.

关键词： Graphics processing units Kernel Algorithm design and analysis Bipartite graph Multicore processing Arrays

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ESICM LIVES 2016: part three

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Intensive Care Medicine Experimental 2016年第1期4卷 405-607页

作者： Velasquez, T. Mackey, G. Lusk, J. Kyle, U. G. Fontenot, T. Marshall, P. Shekerdemian, L. S. Coss-Bu, J. A. Nishigaki, A. Yatabe, T. Tamura, T. Yamashita, K. Yokoyama, M. Ruiz-Rodriguez, J. C. Encina, B. Belmonte, R. Troncoso, I. Tormos, P. Riveiro, M. Baena, J. Sanchez, A. Bañeras, J. Cordón, J. Duran, N. Ruiz, A. Caballero, J. Nuvials, X. Riera, J. Serra, J. Rutten, A. M. F. van Ieperen, S. N. M. Der Kinderen, E. P. H. M. Van Logten, T. Kovacikova, L. Skrak, P. Zahorec, M. Akcan-Arikan, A. Silva, J. C. Goldsworthy, M. Wood, D. Harrison, D. Parslow, R. Davis, P. Pappachan, J. Goodwin, S. Ramnarayan, P. Chernyshuk, S. Yemets, H. Zhovnir, V. Pulitano’, S. M. De Rosa, S. Mancino, A. Villa, G. Tosi, F. Franchi, P. Conti, G. Patel, B. Khine, H. Shah, A. Sung, D. Singer, L. Haghbin, S. Inaloo, S. Serati, Z. Idei, M. Nomura, T. Yamamoto, N. Sakai, Y. Yoshida, T. Matsuda, Y. Yamaguchi, Y. Takaki, S. Yamaguchi, O. Goto, T. Longani, N. Medar, S. Abdel-Aal, I. R. El Adawy, A. S. Mohammed, H. M. E. H. Mohamed, A. N. Parry, S. M. Knight, L. D. Denehy, L. De Morton, N. Baldwin, C. E. Sani, D. Kayambu, G. da Silva, V. Z. M. Phongpagdi, P. Puthucheary, Z. A. Granger, C. L. Rydingsward, J. E. Horkan, C. M. Christopher, K. B. McWilliams, D. Jones, C. Reeves, E. Atkins, G. Snelson, C. Aitken, L. M. Rattray, J. Kenardy, J. Hull, A. M. Ullman, A. Le Brocque, R. Mitchell, M. Davis, C. Macfarlane, B. Azevedo, J. C. Rocha, L. L. De Freitas, F. F. M. Cavalheiro, A. M. Lucinio, N. M. Lobato, M. S. Ebeling, G. Kraegpoeth, A. Laerkner, E. De Brito-Ashurst, I. White, C. Gregory, S. Forni, L. G. Flowers, E. Curtis, A. Wood, C. A. Siu, K. Venkatesan, K. Muhammad, J. B. H. Ng, L. Seet, E. Baptista, N. Escoval, A. Tomas, E. Agrawal, R. Mathew, R. Varma, A. Dima, E. Charitidou, E. Perivolioti, E. Pratikaki, M. Vrettou, C. Giannopoulos, A. Zakynthinos, S. Routsi, C. Atchade, E. Houzé, S. Jean-Baptiste, S. Thabut, G. Genève, C. Tanaka, S. Lortat-Jacob, B. Augustin, P. Desmard, M. Montravers, P. de Molina, F. J. González Barbadillo, S. Alejandro, R. Texas Children’s Hospital Clinical Nutriiton Houston USA Texas Children’s Hospital Intensive Care Houston USA Baylor College of Medicine Pediatrics Houston USA Kochi Medical School Department of Anesthesiology and Intensive Care Medicine Nankoku Japan Vall d’ Hebron University Hospital Critical Care Department Barcelona Spain Vall d’ Hebron University Hospital Anesthesia & Reanimation Department Barcelona Spain Vall d’ Hebron University Hospital Neurocritical Care Department Barcelona Spain Vall d’ Hebron University Hospital Coronary Care Unit Barcelona Spain Sagrat Cor University Hospital Critical Care Department Barcelona Spain St Elisabeth Twee Steden Hospital ICU Tilburg Netherlands National Institute of Cardiovascular Diseases PCICU Bratislava Slovakia National Institute of Cardiovascular Diseases Bratislava Slovakia National Institute of Cardiovascular Diseases Pediatric Cardiac Intensive Care Unit Bratislava Slovakia Texas Children’s Hospital Renal Service Houston USA Bristol Royal Hospital for Children Paediatric Intensive Care Unit Bristol UK Intensive Care National Audit & Research Centre (ICNARC) London UK University of Leeds Leeds UK Southampton University Hospitals NHS Trust Southampton UK Great Ormond Street Hospital London UK UCCC ICU Kyiv Ukraine Catholic University Department of Anesthesia and Intensive Care Rome Italy International Renal Research Institute of Vicenza (IRRIV) Department of Nephrology Dialysis and Transplantation Vicenza Italy University of Florence Department of Health Science Section of Anaesthesiology and Intensive Care Florence Italy The Children’s Hospital at Montefiore Pediatric Critical Care Bronx USA The Children’s Hospital at Montefiore Bronx USA Shiraz University of Medical Sciences Pediatric intensive Care Shiraz Islamic Republic of Iran Shiraz University of Medical Sciences Shiraz Islamic Republic of Iran Yokohama City University Hospital Intensive Care Unit Yokohama Japan Yokohama City Univ

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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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Step-by-step cyclic processes scheduling

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IFAC Proceedings Volumes 2013年第7期46卷 300-305页

作者： G. Bocewicz I. Nielsen Z. Banaszak Dept. of Computer Science and Management Koszalin University of Technology Sniadeckich 2 75-453 Koszalin Poland Department of Mechanical and Manufacturing Engineering Aalborg University Aalborg East Denmark Dept. of Business Informatics Warsaw University of Technology Narbutta 85 02-524 Warsaw Poland

Automated Guided Vehicles (AGVs) fleet scheduling is one of the big problems in Flexible Manufacturing System (FMS) control. The problem is more complicated when concurrent multi-product manufacturing and resource deadlock avoidance policies are considered. The objective of the research is to provide a declarative model enabling to state a constraint satisfaction problem aimed at AGVs fleet scheduling subject to assumed itineraries of concurrently manufactured product types. In other words, assuming a given layout of FMS's material handling and production routes of simultaneously manufactured orders, the main objective is to provide the declarative framework aimed at conditions allowing one to calculate the AGVs fleet schedule in online mode. An illustrative example of the relevant algebra-like driven step-by-stem cyclic scheduling is provided.

关键词： Cyclic/multimodal process AGVs fleet scheduling declarative modeling cyclic scheduling

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Robustness of multimodal processes itineraries

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IFAC Proceedings Volumes 2013年第9期46卷 2092-2097页

作者： G. Bocewicz Z. Banaszak I. Nielsen Dept. of Computer Science and Management Koszalin University of Technology Sniadeckich 2 75-453 Koszalin Poland Dept. of Business Informatics Warsaw University of Technology Narbutta 85 02-524 Warsaw Poland Department of Mechanical and Manufacturing Engineering Aalborg University Aalborg East Denmark

This paper concerns multimodal transport systems (MTS) represented by a supernetworks in which several unimodal networks are connected by transfer links and focuses on the scheduling problems encountered in these systems. Assuming unimodal networks are modeled as cyclic lines, i.e. the routes determining stream-like moving transportation means, a problem of an alternative itinerary selection for an origin-destination (O-D) trip in the context of emergency relief is considered. Emergency relief dealing with the contingency events and deciding on MTS robustness can be evaluated in terms of feasible itineraries for assumed (O-D) trip. Since itinerary planning problem, constitutes a common routing and scheduling decision faced by travelers, hence the main question regards of itinerary re-planning and particularly a method aimed at prototyping of mode sequences and paths selections. The declarative model of multimodal processes driven itinerary planning problem is our main contribution. Illustrative examples providing alternative itineraries in some cases of MTS malfunction are presented.

关键词： cyclic / multimodal process itinerary planning transport system declarative modeling

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Poster abstracts

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Sleep and Biological Rhythms 2016年第1期5卷 A1-A189页

作者： J. Ferrie M. Shipley F. Cappuccio E. Brunner M. Miller M. Kumari M. Marmot A. Coenen J. L. Castillo F. Araya G. Bustamante L. Montecino C. Torres S. Oporto J. Gronli E. Fiske R. Murison B. Bjorvatn E. Sorensen R. Ursin C. M. Portas S. Rajaraman A. Gribok N. Wesensten T. Balkin J. Reifman N. Dursunoglu S. Ozkurt S. Baser O. Delen S. Sarikaya P. Sadler P. Mitchell D. Françon M. Decobert B. Herve A. Richard G. Griebel P. Avenet B. Scatton G. L. Fur D. Eckert A. Jordan A. Wellman S. Smith A. Malhotra D. White D. Bruck I. Thomas A. Kritikos W. Oertel K. Stiasny-Kolster D. Garcia-Borreguero W. Poewe B. Hoegl R. Kohnen E. Schollmayer J. Keffel C. Trenkwalder A. Valle S. Roizenblatt F. Fregni P. Boggio S. Tufik K. Ward L. Robertson L. Palmer P. Eastwood D. Hillman J. Lee S. Mukherjee V. de Padova G. Barbato G. Ficca I. Zilli P. Salzarulo M. Veldi T. Hion V. Vasar M. Kull L. Nowak J. Davis Y. Latzer O. Tzischinsky S. Crowley M. Carskadon M. Anca-Herschkovitsch D. Frey J. Ortega C. Wiseman C. Farley K. Wright A. Campbell A. Neill K. Spiegel R. Leproult E. Tasali N. Scherberg E. van Cauter A. T. Noradina N. A. Karim I. Norlinah A. A. Raymond R. Sahathevan B. Hamidon E. Werth R. Poryazova R. Khatami C. Bassetti R. G. Beran L. Ainley G. Holand J. Duncan H. Kinney B. Davis B. Hood S. Frey C. Schmidt M. Hofstetter P. Peigneux C. Cajochen W.-P. Hu J.-D. Li C. Zhang L. Boehmer J. Siegel Q.-Y. Zhou Y. Sagawa H. Kondo T. Takemura H. Kanayama Y. Kaneko M. Sato T. Kanbayashi Y. Hishikawa T. Shimizu A. Viola L. James L. Schlangen D.-J. Dijk R. Andretic Y.-C. Kim K.-A. Han F. Jones R. Greenspan L. Sanford L. Yang X. Tang K. Dieter E. Uta H. Sven M. Richard N. Oyane S. Pallesen F. Holsten Y. Inoue M. Fujita N. Emura K. Kuroda N. Uchimura A. Johnston J. Astbury G. Kennedy K. Hoedlmoser M. Schabus T. Pecherstorfer S. Moser G. Gruber P. Anderer W. Klimesch N. Naidoo M. Ferber A. Pack D. Neu O. Mairesse G. Hoffmann A. Dris L. Lambrecht P. Linkowski P. Verbanck O. Le Bon N. Matsuura M. Yamao N. Adachi R. Aritomi Y. Komada H. Tanaka S. Shirak University College London London UK University College London London USA Warwick Medical School London UK Warwick Medical School Coventry USA Radboud University Nijmegen Nijmegen Netherlands Department of Neurology University of Chile Santiago Chile Neurology Service Hospital del Salvador Santiago Chile Family Health Center Juan Pablo II Santiago Chile Department of Biomedicine Section on Physiology Univeristy of Bergen Bergen Norway Department of Public Health and Primary Health Care Univeristy of Bergen Bergen Norway Department of Public Health and Primary Health Care University of Bergen Bergen Norway Norwegian Competence Center for Sleep Disorders Haukeland University Hospital Bergen Norway Department of Child and Adolescent Psychiatry Haukeland University Hospital Univeristy of Bergen Bergen Norway Department of Biomedicine University of Bergen Bergen Norway US Army Medical Research and Materiel Command Fort Detrick Frederick USA Walter Reed Army Institute of Research Silver Spring USA Department of Behavioral Biology Walter Reed Army Institute of Research Silver Spring USA Faculty Department of Pulmonology Pamukkale University Medical Denizli Turkey University of Ballarat Ballarat Australia Sanofi-Aventis Recherche et Developpement Paris France Brigham and Women’s Hospital Harvard Medical School Boston USA The University of Queensland Adelaide Australia School of Psychology University of Queensland Brisbane Australia The University of Queensland Brisbane Australia Victoria University Melbourne Australia Department of Psychology Victoria University Melbourne Australia School of Psychology Victoria University Melbourne Australia Philips-Universität Marburg Germany Philips-Universitaet-Marburg Marburg Germany Instituto de Investigaciones del Sueno Madrid Spain Universitätsklinik für Neurologie Innsbruck Austria Universitaetsklinik fuer Neurologie Innsbruck Austria IMEREM GmbH Nuernberg Germany Schwarz Pharma AG Monheim Germany

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Multi-agent programming contest 2013: The teams and the design of their systems

Multi-agent programming contest 2013: The teams and the desi...

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1st International Workshop on engineering Multi-Agent Systems, EMAS 2013

作者： Ahlbrecht, Tobias Bender-Saebelkampf, Christian De Brito, Maiquel Christensen, Nicolai Christian Dix, Jürgen Franco, Mariana Ramos Heller, Hendrik Hess, Andreas Viktor Heßler, Axel Hübner, Jomi Fred Jensen, Andreas Schmidt Johnsen, Jannick Boese Köster, Michael Li, Chengqian Liu, Lu Morato, Marcelo Menezes Ørum, Philip Bratt Schlesinger, Federico Schmitz, Tiago Luiz Sichman, Jaime Simão De Souza, Kaio Siqueira Uez, Daniela Maria Villadsen, Jørgen Werner, Sebastian Woller, Øyvind Grønland Zatelli, Maicon Rafael Department of Informatics Clausthal University of Technology Julius-Albert-Str. 4 38678 Clausthal-Zellerfeld Germany Dept. of Computer Science Sun Yat-sen University Guangzhou 510006 China Algorithms Logic and Graphs Section Department of Applied Mathematics and Computer Science Technical University of Denmark Matematiktorvet DK-2800 Kongens Lyngby Denmark Brazil Distributed Artificial Intelligence Laboratory Technische Universität Berlin Germany Department of Automation and Systems Engineering Federal University of Santa Catarina CP 476 88040-900 Florianópolis - SC Brazil

ISBN: (纸本)9783642453427

Five teams participated in the Multi-Agent Programming Contest in 2013: All of them gained experience in 2012 already. In order to better understand which paradigms they used, which techniques they considered important and how much work they invested, the organisers of the contest compiled together a detailed list of questions (circa 50). This paper collects all answers to these questions as given by the teams. © 2013 Springer-Verlag.

关键词： Multi agent systems

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CTS 2014 panel sessions

CTS 2014 panel sessions

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International Symposium on Collaborative Technologies and Systems

作者： Obinna B. Anya John V. Carlis Brent J. Hecht Daniel Keefe Obinna Anya Neale R. Chumbler Saif Khairat Joseph A. Konstan Danilo Pani Jason Evgenides Janet Girton Arlene King Joseph Zahn Gregory Padula Mary Galvin Accelerated Discovery Lab Almaden Research Center California USA University of Minnesota - Twin Cities Minnesota USA Department of Health Policy and Management College of Public Health University of Georgia - Athens Georgia USA Institute for Health Informatics University of Minnesota - Twin Cities Minnesota USA Department of Computer Science and Engineering University of Minnesota - Twin Cities Minnesota USA EOLAB - Microelectronics and Bioengineering Lab Dept. of Electrical and Electronic Engineering University of Cagliari Italy Organizational Enablement Shiloh Illinois USA Cyber Semantics Shiloh Illinois USA Strategic Communication C5T Shiloh Illinois USA Knowledge Management Specialist C5T Shiloh Illinois USA Vice President-Operations C5T Shiloh Illinois USA LexisNexis Special Services Inc. (LNSSI) Washington D.C. USA

This panel explores the many roles of data analytics in today's cross-domain collaborations. In some instances, cross-domain analytics are required to understand big data. In others, big data holds the key to understanding and evaluating how people collaborate across domains. Panelists will present their experiences with big data and collaboration, and discussion will be guided by the following questions: How does “understanding data through collaboration” relate to “understanding collaboration through data”? What modeling tools, visualizations, abstractions, and metrics can help facilitate collaborative discovery from big data? To what extent should these tools be tailored to specific domains or groups? How much do we need to know about another domain or group before we can intersect domain specific activities that constitute the context to various analytical processes, and cross-pollinate ideas for deeper analytics? What optimally would that other domain or group need to know about us? How much of this knowledge can we extract from data?

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HornDL: An expressive horn description logic with PTime data complexity

HornDL: An expressive horn description logic with PTime data...

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7th International Conference on Web Reasoning and Rule Systems, RR 2013

作者： Nguyen, Linh Anh Nguyen, Thi-Bich-Loc Szalas, Andrzej Institute of Informatics University of Warsaw Banacha 2 02-097 Warsaw Poland Faculty of Information Technology VNU University of Engineering and Technology 144 Xuan Thuy Hanoi Viet Nam Department of Information Technology Hue University of Sciences 77 Nguyen Hue Hue City Viet Nam Dept. of Computer and Information Science Linköping University SE-581 83 Linköping Sweden

ISBN: (纸本)9783642396656

We introduce a Horn description logic called Horn-DL, which is strictly and essentially richer than Horn-scriptSscriptRscriptOscriptIscriptQ, while still has PTime data complexity. In comparison with Horn- scriptSscriptRscriptOscriptIscriptQ, Horn-DL additionally allows the universal role and assertions of the form irreflexive (s), ¬s(a, b), a ≠ b. More importantly, in contrast to all the well-known Horn fragments scriptEscriptL, DL-Lite, DLP, Horn-scriptSscriptHscriptIscriptQ, Horn- scriptSscriptRscriptOscriptIscriptQ of description logics, Horn-DL allows a form of the concept constructor "universal restriction" to appear at the left hand side of terminological inclusion axioms. Namely, a universal restriction can be used in such places in conjunction with the corresponding existential restriction. In the long version of this paper, we present the first algorithm with PTime data complexity for checking satisfiability of Horn-DL knowledge bases. © 2013 Springer-Verlag.

关键词： Data description

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