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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Author Correction: The challenge of mapping the human connectome based on diffusion tractography

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Nature communications 2019年第1期10卷 5059页

作者： Klaus H Maier-Hein Peter F Neher Jean-Christophe Houde Marc-Alexandre Côté Eleftherios Garyfallidis Jidan Zhong Maxime Chamberland Fang-Cheng Yeh Ying-Chia Lin Qing Ji Wilburn E Reddick John O Glass David Qixiang Chen Yuanjing Feng Chengfeng Gao Ye Wu Jieyan Ma Renjie He Qiang Li Carl-Fredrik Westin Samuel Deslauriers-Gauthier J Omar Ocegueda González Michael Paquette Samuel St-Jean Gabriel Girard François Rheault Jasmeen Sidhu Chantal M W Tax Fenghua Guo Hamed Y Mesri Szabolcs Dávid Martijn Froeling Anneriet M Heemskerk Alexander Leemans Arnaud Boré Basile Pinsard Christophe Bedetti Matthieu Desrosiers Simona Brambati Julien Doyon Alessia Sarica Roberta Vasta Antonio Cerasa Aldo Quattrone Jason Yeatman Ali R Khan Wes Hodges Simon Alexander David Romascano Muhamed Barakovic Anna Auría Oscar Esteban Alia Lemkaddem Jean-Philippe Thiran H Ertan Cetingul Benjamin L Odry Boris Mailhe Mariappan S Nadar Fabrizio Pizzagalli Gautam Prasad Julio E Villalon-Reina Justin Galvis Paul M Thompson Francisco De Santiago Requejo Pedro Luque Laguna Luis Miguel Lacerda Rachel Barrett Flavio Dell'Acqua Marco Catani Laurent Petit Emmanuel Caruyer Alessandro Daducci Tim B Dyrby Tim Holland-Letz Claus C Hilgetag Bram Stieltjes Maxime Descoteaux Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. k.maier-hein@dkfz.de. Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. Sherbrooke Connectivity Imaging Lab (SCIL) Université de Sherbrooke Sherbrooke QC J1K 0A5 QC Canada. Department of Intelligent Systems Engineering School of Informatics and Computing Indiana University Bloomington IN 47408 USA. Krembil Research Institute University Health Network Toronto Canada M5G 2C4. Department of Neurological Surgery University of Pittsburgh School of Medicine Pittsburgh PA 15213 USA. IMT-Institute for Advanced Studies Lucca 55100 Italy. Department of Diagnostic Imaging St. Jude Children's Research Hospital Memphis TN 38105 USA. University of Toronto Institute of Medical Science Toronto Canada M5S 1A8. Institute of Information Processing and Automation Zhejiang University of Technology Hangzhou 310023 Zhejiang China. United Imaging Healthcare Co Shanghai 201807 China. Shanghai Advanced Research Institute Shanghai 201210 China. Laboratory of Mathematics in Imaging Harvard Medical School Boston MA 02215 USA. Center for Research in Mathematics Guanajuato 36023 Mexico. PROVIDI Lab Image Sciences Institute University Medical Center Utrecht Utrecht 3508 The Netherlands. Cardiff University Brain Research Imaging Centre School of Psychology Cardiff University Maindy Road Cardiff CF24 4HQ UK. Department of Radiology University Medical Center Utrecht Utrecht 3508 The Netherlands. Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM) Université de Montréal Montreal QC Canada H3W 1W5. Sorbonne Universités UPMC Univ Paris 06 CNRS INSERM Laboratoire d'Imagerie Biomédicale (LIB) 75013 Paris France. Center for Advanced Research in Sleep Medicine Hôpital du Sacré-Coeur de Montréal Montreal Canada H4J 1C5. Neuroimaging Unit Institute of Bioimaging and Molecular Physiology (IBFM) Nat

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Transdisciplinary interaction design in design education 33

Transdisciplinary interaction design in design education

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33rd Annual CHI Conference on Human Factors in computing Systems, CHI EA 2015

作者： Blevis, Eli Koskinen, Ilpo K. Lee, Kun-Pyo Bødker, Susanne Chen, Lin-Lin Lim, Youn-Kyung Wei, Huaxin Wakkary, Ron School of Informatics and Computing Indiana University United States School of Design Hong Kong Polytechnic University Hong Kong Hong Kong Human Centered Interaction Design Lab KAIST Korea Republic of Departments of CS and Aesthetics and Communication Aarhus University Denmark Department of Industrial and Commercial Design NTUST Taiwan Creative Interaction Design Lab KAIST Korea Republic of School of Interactive Arts and Technology SFU Canada

ISBN: (纸本)9781450331463

Transdisciplinary design-which is the idea of design that transcends disciplinary boundaries-has been proposed as a fourth design paradigm of interaction design education, scholarship, and practice alongside the technical, cognitive, and ethnographic paradigms. As an educational concern in particular, its aim is to teach students how to bring a values orientation to interaction design. Its focuses are design frameworks, values and ethics, design for important themes such as sustainability, equity, adaptation, justice, and social responsibility. This panel maps the state of the art in transdisciplinary interaction design education, considering also design scholarship and practice in relation to design education. The panel collects together a group of educators from chosen to provide a global perspective, with panelists from Canada, Denmark, Hong Kong, Korea, and Taiwan. Copyright is held by the author/owner(s).

关键词： Social aspects

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Editing to a planar graph of given degrees 1

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10th International Computer Science Symposium in Russia, CSR 2015

作者： Dabrowski, Konrad K. Golovach, Petr A. van’T Hof, Pim Paulusma, Daniël Thilikos, Dimitrios M. School of Engineering and Computing Sciences Durham University Durham United Kingdom Department of Informatics University of Bergen Bergen Norway School of Built Environment Rotterdam University of Applied Sciences Rotterdam Netherlands Department of Mathematics Computer Technology Institute and Press ‘Diophantus’ Patras Greece National and Kapodistrian University of Athens Athens Greece AlGCo Project-team CNRS LIRMM Montpellier France

ISBN: (数字)9783319202976

ISBN: (纸本)9783319202969

We consider the following graph modification problem. Let the input consist of a graph G = (V,E), a weight function w: V ∪ E → N, a cost function c: V ∪ E → N and a degree function δ: V → N0, together with three integers kv, ke and C. The question is whether we can delete a set of vertices of total weight at most kv and a set of edges of total weight at most ke so that the total cost of the deleted elements is at most C and every non-deleted vertex v has degree δ(v) in the resulting graph G ‘. We also consider the variant in which G ‘ must be connected. Both problems are known to be NP-complete and W[1]-hard when parameterized by kv +ke. We prove that, when restricted to planar graphs, they stay NPcomplete but have polynomial kernels when parameterized by kv + ke. © Springer International Publishing Switzerland 2015.

关键词： Cost functions

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Big data: Emerging technological paradigm and challenges

Big data: Emerging technological paradigm and challenges

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International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

作者： Chirag Suryakant Thaker Dharm Singh Jat Addmore Machanja Edward Nepolo Information Technology Department Shantilal Shah Engineering College Bhavnagar Gujarat India School of Computing and Informatics Polytechnic of Namibia Windhoek Namibia Namibia University of Science and Technology Windhoek Khomas NA

Web based computing technology and services has proliferated exponentially and seen mammoth growth in the way people interact with systems across the globe since last decade. Nowadays user community has turned into contributor community and interactive social web platforms have made them empowered for global content creation and consumption. This content exploding is continued and ever increasing and it triggers few very sharp concerns that web centric information retrieval systems engines are facing new challenge known as Big Data. In this paper concept of Big Data is presented with its fundamentals, the main issues and challenges along with the complete description of the technologies/methods being employed for tackling the storage and processing problems associated with Big Data. The paper also remarks cloud based data center and cloud service models as solution. The paper presents solution of big data processing proposed model in the line of Hadoop like system implementation.

关键词： Big data Databases Data models Business Computational modeling Computers Cloud computing

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Software-as-a-service(SaaS): perspectives and challenges

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Science China(Information Sciences) 2014年第5期57卷 5-19页

作者： TSAI WeiTek BAI XiaoYing HUANG Yu School of Computing Informatics and Decision Systems Engineering Arizona State University Department of Computer Science and Technology Tsinghua National Lab of Information Science and TechnologyTsinghua University

Software-as-a-service(SaaS)has received significant attention recently as one of three principal components of cloud computing,and it often deals with applications that run on top of a platform-as-a-service(PaaS)that in turn runs on top of infrastructure-as-a-service(IaaS).This paper provides an overview of SaaS including its architecture and major technical issues such as customization,multi-tenancy architecture,redundancy and recovery mechanisms,and ***,a SaaS system can have architecture relating to a database-oriented approach,middleware-oriented approach,service-oriented approach,or PaaS-oriented *** SaaS customization strategies can be used from light customization with manual coding to heavy customization where the SaaS system and its underlying PaaS systems are customized ***-tenancy architecture is an important feature of a SaaS and various trade-offs including security isolation,performance,and engineering effort need to be *** is important for a SaaS system to have multi-level redundancy and recovery mechanisms,and the SaaS system needs to coordinate these with the underlying PaaS ***,SaaS scalability mechanisms include a multi-level architecture with load balancers,automated data migration,and software design strategies.

关键词： software-as-a-service SaaS architecture customization multi-tenancy architecture redundancy and recovery scalability

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TuneTracker: Tensions in the surveillance of traditional music 14

TuneTracker: Tensions in the surveillance of traditional mus...

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2014 ACM SIGCHI Conference on Designing Interactive Systems, DIS 2014

作者： Su, Norman Makoto Duggan, Bryan School of Informatics and Computing Indiana University Bloomington United States School of Computing Dublin Institute of Technology Ireland

ISBN: (纸本)9781450329026

We describe the design and deployment of the first system ever to dynamically track and publish records of folk music playing. TuneTracker is a software system that has been, at time of writing, deployed at a pub in Dublin, Ireland for five months. It captures, stores, and posts the names of tunes played in Irish traditional music sessions on a public website. This paper makes two contributions: (1) drawing from a two year ethnographic study of trad musicians, it details the design and development of a system to track and publish traditional musicians' practices while respecting the ethos of tradition, and (2) it presents a discussion of professional musicians' reactions to having their music practices surveilled. This latter fieldwork revealed divergent viewpoints on the effect that TuneTracker would have on local sessions and the process of tradition. Copyright © 2014 ACM.

关键词： Ubiquitous computing

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A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis

A novel dimensionality reduction algorithm based on Laplace ...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Yetian Fan Xingpeng Jiang Xiaohua Hu Bo Song Yuan Ling Wei Wu School of Mathematical Sciences Dalian University of Technology Dalian China School of Computer Science Central China Normal University Wuhan China College of Computing and Informatics Drexel University Philadelphia PA USA

ISBN: (纸本)9781467368001

Visualization is an important method in microbiome data analysis, and dimensionality reduction is a necessary procedure to achieve it. Multidimensional Scaling (MDS) is a popular method, which is necessary to compute the distance matrix. The Unifrac distance is very reasonable and biologically meaningful in the analysis of microbiome data. Due to the complexity of the phylogenetic tree and the high dimensionality of data, MDS needs a large amount of calculations to determine all the distances between pairs. In this paper, we proposed a novel dimensionality reduction algorithm based on Laplace matrix (DRLM) for the analysis of microbiome data. The experimental results indicate that both on synthesized and microbiome data, our algorithm DRLM can not only cluster the data more clearly, but also can significantly reduce the computational cost.

关键词： Yttrium

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Automated transformations from UML behavior models to contracts

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Science China(Information Sciences) 2014年第12期57卷 216-232页

作者： LI Dan LI XiaoShan LIU ZhiMing Volker STOLZ Faculty of Science and Technology University of Macau Guizhou Academy of Sciences School of Computing Telecommunications and Networks Birmingham City University Department of Informatics University of Oslo

In model driven architecture(MDA),system requirements are first captured by UML(unified modeling language)use cases with sequence diagrams to describe their intended use and implemented by classes of objected-oriented languages in the subsequent design *** is important that the dynamic behavior specified by the sequence diagrams is in full compliance with the implementation *** paper proposes an automatic approach and tool support for generating class contracts,which define a precondition and a postcondition for each operation of the *** former serves as a guard to ensure invocations of the operations respect the semantics introduced by the sequence diagrams,and the latter places the system in a legal state to facilitate the succeeding operation *** contracts can be easily mapped to code of an object-oriented language such as ***,the approach helps to bridge the gap between the requirements and design stages of system development *** use our model transformation tool to first generate a UML protocol state machine from the sequence diagrams,and then derive the contracts for a controller *** transformations take into account the concurrency and critical constructs of the respective UML diagrams.

关键词： model-driven development UML sequence diagrams state machines model transformations QVT

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Multi-reference WER for evaluating ASR for languages with no orthographic rules

Multi-reference WER for evaluating ASR for languages with no...

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IEEE Workshop on Automatic Speech Recognition and Understanding

作者： Ahmed Ali Walid Magdy Peter Bell Steve Renais Centre for Speech Technology Research School of informatics University of Edinburgh Edinburgh UK Qatar Computing Research Institute HBKU Doha Qatar The University of Edinburgh Edinburgh Edinburgh GB

Languages with no standard orthographic representation faces a challenge to evaluate the output from Automatic Speech Recognition (ASR). Since the reference transcription text can vary widely from one user to another. We propose an innovative approach for evaluating speech recognition using Multi-References. For each recognized speech segments, we ask five different users to transcribe the speech. We combine the alignment for the multiple references, and use the combined alignment to report a modified version of Word Error Rate (WER). This approach is in favor of accepting a recognized word if any of the references typed it in the same form. Results are reported using two Dialectal Arabic (DA) as a language with no standard orthographic; Egyptian, and North African speech. The average WER for the five references individually is 71.4%, and 80.1% respectively. When considering all references combined, the Multi-References MR-WER was found to be 39.7%, and 45.9% respectively.

关键词： Speech Speech recognition Text recognition Writing Standards Error analysis Measurement

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