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

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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Comparison of filtering techniques for simultaneous localization and tracking

Comparison of filtering techniques for simultaneous localiza...

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International Conference on Estimation, Detection and Information Fusion (ICEDIF)

作者： Qingzhen Wen Yan Zhou Lan Hu Jianxun Li Dongli Wang College of Information Engineering Xiangtan University Xiangtan China Key Laboratory of Intelligent Computing & Information Processing of MOE Xiangtan China Department of Automation Shanghai Jiao Tong University Shanghai China

Target tracking is one of the most important applications for wireless sensor networks (WSNs). It is usually assumed that the knowledge of the sensor nodes' position is known precisely. However, practically nodes are randomly deployed without prior knowledge about their own positions. In this situation, simultaneous localization and tracking (SLAT) is necessary and is receiving more and more research interest during the last few years. In this paper, several popular and practical filtering techniques are reviewed and compared for the problem of SLAT, including extended Kalman filtering (EKF), unscented Kalman filtering (UKF), and interactive multiple model (IMM). Simulation examples are included to demonstrate the superiority and shortcoming of each method. Results show that compared with other methods, IMM based on UKFs has better accuracy in both localization and tracking, as well as higher robustness.

关键词： Mathematical model Filtering Accuracy Noise Computational modeling Robustness Noise measurement

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SmartBackup: An Efficient and Reliable Backup Strategy for Solid State Drives with Backup Capacitors

SmartBackup: An Efficient and Reliable Backup Strategy for S...

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IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Min Huang Yi Wang Liyan Qiao Duo Liu Zili Shao School of Electrical Engineering and Automation Harbin Institute of Technology Guangdong Province Key Laboratory of Popular High Performance Computers Shenzhen University College of Computer Science Chongqing University Department of Computing The Hong Kong Polytechnic University

ISBN: (纸本)9781479989386

Unpredictable power outages in NAND flashbased Solid State Drives (SSDs) may cause system failure or reliability problems. Capacitors are widely adopted as the interim power supplier when power interruption happens. However, since the energy provided by backup capacitors is limited, and the capacitance of a capacitor will gradually degrade with time, it is imperative to improve the efficiency and reliability of the backup process for SSDs with capacitors. This paper presents a novel backup scheme called SmartBackupfor MLC NAND flash-based SSDs with backup capacitors. In SmartBackup, by exploiting the feature of the discharge process of capacitors, all available SSD channels are fully utilized and dynamically adjusted based on the available voltage, so data can be efficiently stored in a reliable manner. Moreover, in SmartBackup, to write data in a time/energyefficient manner with better reliability, we adopt a fast and reliable programming strategy by only writing LSB (Least Significant Bit) pages in MLC NAND flash. To the best of our acknowledge, this is the first work to jointly utilize the property of the multi-page architecture of MLC NAND flash and the discharge characteristic of capacitors to improvethe efficiency and reliability of the backup process in SSDswith backup capacitors. The experimental results show thatSmartBackup can effectively accelerate the backup processand improve the reliability.

关键词： Capacitors Ash Reliability Programming Arrays Acceleration Discharges (electric)

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H_∞ group consensus for clusters of agents with model uncertainty and external disturbance

H_∞ group consensus for clusters of agents with model uncer...

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IEEE Annual Conference on Decision and Control

作者： Jiahu Qin Qichao Ma Wei Xing Zheng Huijun Gao Department of Automation University of Science and Technology of China Hefei 230027 China School of Computing Engineering and Mathematics Western Sydney University Sydney NSW 2751 Australia Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China

ISBN: (纸本)9781479978878

In this paper, the problem of H_∞ group consensus is addressed for networks of agents modeled by single-integrator with model uncertainty and external disturbance. The first part of the work is to show that the group consensus with desired H_∞ performance can be achieved under some sufficient conditions that are established in terms of the structure and strength of the couplings among agents. Then given the observation that the theoretical values of the coupling strengths are usually much larger than expected in practical situations, the second part of the work is concerned with developing an adaptation law to tackle such coupling strength problem.

关键词： model uncertainty external disturbance Agents theoretical value Couplings Sufficient conditions

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Online fault detection based on Typicality and Eccentricity Data Analytics

Online fault detection based on Typicality and Eccentricity ...

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International Joint Conference on Neural Networks, IJCNN 2015

作者： Costa, Bruno Sielly Jales Bezerra, Clauber Gomes Guedes, Luiz Affonso Angelov, Plamen Parvanov Campus Natal - Zona Norte Federal Institute of Rio Grande Do Norte - IFRN Natal Brazil Campus EaD Federal Institute of Rio Grande Do Norte - IFRN Natal Brazil Department of Computer Engineering and Automation Federal University of Rio Grande Do Norte - UFRN Brazil Lancaster University Data Science Group School of Computing and Communications LancasterLA1 4WA United Kingdom Excellence Carlos III University Madrid Spain

ISBN: (纸本)9781479919604

Fault detection is a task of major importance in industry nowadays, since that it can considerably reduce the risk of accidents involving human lives, in addition to production and, consequently, financial losses. Therefore, fault detection systems have been largely studied in the past few years, resulting in many different methods and approaches to solve such problem. This paper presents a detailed study on fault detection on industrial processes based on the recently introduced eccentricity and typicality data analytics (TEDA) approach. TEDA is a recursive and non-parametric method, firstly proposed to the general problem of anomaly detection on data streams. It is based on the measures of data density and proximity from each read data point to the analyzed data set. TEDA is an online autonomous learning algorithm that does not require a priori knowledge about the process, is completely free of user- and problem-defined parameters, requires very low computational effort and, thus, is very suitable for real-time applications. The results further presented were generated by the application of TEDA to a pilot plant for industrial process. © 2015 IEEE.

关键词： Fault detection

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Hybrid fuzzy and robust controller applied to a DC-DC boost converter

Hybrid fuzzy and robust controller applied to a DC-DC boost ...

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作者： De Carvalho Neto, Joao T. Salazar, Andres O. De Araujo, Fabio M.U. Cavalcanti, Anderson L. De O. Department of Computing Engineering and Automation Federal University of Rio Grande Do Norte Natal/ Rio Grande do Norte Brazil

ISBN: (纸本)9781479940325

This paper purposes a hybrid control method applied to a DC-DC Boost converter in order to maintain a constant output voltage and ensure the supply of good power quality to the load. The hybrid controller consists of a fuzzy supervisor which mixes control signals of two types of controllers: robust and fuzzy. Each one of these controllers has good performance in certain operational conditions. The supervisor determines the ideal proportion of the action provided by the controllers in each operational condition. The simulations show that fuzzy and robust control signals can be mixed to provide a good power quality to the load ensuring fast transient response and zero steady-state error due to input voltage and load variations. © 2014 IEEE.

关键词： Power quality

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Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition

Shape driven kernel adaptation in Convolutional Neural Netwo...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Shaoxin Li Junliang Xing Zhiheng Niu Shiguang Shan Shuicheng Yan Department of Electrical and Computer Engineering National University of Singapore Singapore Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China National Laboratory of Pattern Recognition Institute of Automation CAS Beijing China

ISBN: (纸本)9781467369657

One key challenge of facial trait recognition is the large non-rigid appearance variations due to some irrelevant real world factors, such as viewpoint and expression changes. In this paper, we explore how the shape information, i.e. facial landmark positions, can be explicitly deployed into the popular Convolutional Neural Network (CNN) architecture to disentangle such irrelevant non-rigid appearance variations. First, instead of using fixed kernels, we propose a kernel adaptation method to dynamically determine the convolutional kernels according to the spatial distribution of facial landmarks, which helps learning more robust features. Second, motivated by the intuition that different local facial regions may demand different adaptation functions, we further propose a tree-structured convolutional architecture to hierarchically fuse multiple local adaptive CNN subnetworks. Comprehensive experiments on WebFace, Morph II and MultiPIE databases well validate the effectiveness of the proposed kernel adaptation method and tree-structured convolutional architecture for facial trait recognition tasks, including identity, age and gender recognition. For all the tasks, the proposed architecture consistently achieves the state-of-the-art performances.

关键词： Kernel Shape Face Face recognition Robustness Neural networks Computer architecture

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A design of intelligent route guidance system based on shortest path algorithm

A design of intelligent route guidance system based on short...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Xipeng Zhang Gang Xiong Liang Xiao Fenghua Zhu Xiongguang Yang Timo R. Nyberg School of Electrical Engineering & Automation Tianjin University Tianjin China Cloud Computing Center Chinese Academy of Sciences Dongguan China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China Tianjin Industrial Development Area Infrastructure Management Center Tianjin China Department of Industrial Engineering and Management Aalto University Aalto Finland

ISBN: (纸本)9781467384810

With the accelerated urbanization and the development of automobile industry, traffic congestion has become serious gradually for many metropolises. Thus, it is an important and extensive method in many countries to use the intelligent transportation systems (ITS) to control traffic and to induce vehicle flows so that road congestion may be mitigated and the traffic may be more efficient. As an important part of intelligent transportation, an intelligent route guidance system (IRGS) not only regulates traffic flow of every crossroads intersections to make full use of insufficient road infrastructure, but also reduces running distance and average waiting time for every driver to reach region traffic balance. This paper explores a design of IRGS and proposes a way to address the task decomposition of traffic guidance and path selection issues. Results from the simulation experiments suggest that IRGS with shortest path algorithm can achieve better network performance and increased traffic control system efficiency. The study provides theory and method guide for the development of real application system.

关键词： Vehicles Roads Sensors Artificial intelligence Real-time systems Wireless communication

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Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning

Unobtrusive Sensing Incremental Social Contexts Using Fuzzy ...

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IEEE International Conference on Data Mining (ICDM)

作者： Zhenyu Chen Yiqiang Chen Xingyu Gao Shuangquan Wang Lisha Hu Chenggang Clarence Yan Nicholas D. Lane Chunyan Miao China Electric Power Research Institute Beijing China Department of Automation Tsinghua University Beijing China Beijing Key Laboratory of Mobile Computing and Pervasive Device Chinese Academy of Sciences Beijing China Bell Labs School of Computer Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781467395052

By utilizing captured characteristics of surrounding contexts through widely used Bluetooth sensor, user-centric social contexts can be effectively sensed and discovered by dynamic Bluetooth information. At present, state-of-the-art approaches for building classifiers can basically recognize limited classes trained in the learning phase; however, due to the complex diversity of social contextual behavior, the built classifier seldom deals with newly appeared contexts, which results in degrading the recognition performance greatly. To address this problem, we propose, an OSELM (online sequential extreme learning machine) based class incremental learning method for continuous and unobtrusive sensing new classes of social contexts from dynamic Bluetooth data alone. We integrate fuzzy clustering technique and OSELM to discover and recognize social contextual behaviors by real-world Bluetooth sensor data. Experimental results show that our method can automatically cope with incremental classes of social contexts that appear unpredictably in the real-world. Further, our proposed method have the effective recognition capability for both original known classes and newly appeared unknown classes, respectively.

关键词： Context Bluetooth Mobile handsets Feature extraction Learning systems Data mining Sensors

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Coordination control for generic linear multi-agent systems with time delay: a semi-discretization approach

Coordination control for generic linear multi-agent systems ...

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IEEE Annual Conference on Decision and Control

作者： Jiahu Qin Jie Sheng Huijun Gao Wei Xing Zheng Department of Automation University of Science and Technology of China Hefei 230027 P. R. China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 P. R. China School of Computing Engineering and Mathematics Western Sydney University Sydney NSW 2751 Australia

ISBN: (纸本)9781479978878

This paper aims to perform the convergence analysis for a group of linear multi-agent systems with time delay and communicating over arbitrary network topology. It is proved that within the allowable delay bound, all the agents within each closed strong component reach synchronization, while all the other agents outside the closed strong components converge to the dynamic convex hull spanned by the agents in the closed strong components. The delay bound is calculated by the method of semi-discretization, which is also useful in searching for an optimal feedback control with the fastest convergence rate for a certain time delay. A simulation example is given to illustrate the validity of the obtained results.

关键词： coordinated control Network topology Agents system clock optimal feedback control Converge convex hull COMMUNICATING

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