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Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

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Scientific data 2021年第1期8卷 242页

作者： Julien Cohen-Adad Eva Alonso-Ortiz Mihael Abramovic Carina Arneitz Nicole Atcheson Laura Barlow Robert L Barry Markus Barth Marco Battiston Christian Büchel Matthew Budde Virginie Callot Anna J E Combes Benjamin De Leener Maxime Descoteaux Paulo Loureiro de Sousa Marek Dostál Julien Doyon Adam Dvorak Falk Eippert Karla R Epperson Kevin S Epperson Patrick Freund Jürgen Finsterbusch Alexandru Foias Michela Fratini Issei Fukunaga Claudia A M Gandini Wheeler-Kingshott Giancarlo Germani Guillaume Gilbert Federico Giove Charley Gros Francesco Grussu Akifumi Hagiwara Pierre-Gilles Henry Tomáš Horák Masaaki Hori James Joers Kouhei Kamiya Haleh Karbasforoushan Miloš Keřkovský Ali Khatibi Joo-Won Kim Nawal Kinany Hagen H Kitzler Shannon Kolind Yazhuo Kong Petr Kudlička Paul Kuntke Nyoman D Kurniawan Slawomir Kusmia René Labounek Maria Marcella Laganà Cornelia Laule Christine S Law Christophe Lenglet Tobias Leutritz Yaou Liu Sara Llufriu Sean Mackey Eloy Martinez-Heras Loan Mattera Igor Nestrasil Kristin P O'Grady Nico Papinutto Daniel Papp Deborah Pareto Todd B Parrish Anna Pichiecchio Ferran Prados Àlex Rovira Marc J Ruitenberg Rebecca S Samson Giovanni Savini Maryam Seif Alan C Seifert Alex K Smith Seth A Smith Zachary A Smith Elisabeth Solana Y Suzuki George Tackley Alexandra Tinnermann Jan Valošek Dimitri Van De Ville Marios C Yiannakas Kenneth A Weber Ii Nikolaus Weiskopf Richard G Wise Patrik O Wyss Junqian Xu NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. jcohen@polymtl.ca. Functional Neuroimaging Unit CRIUGM Université de Montréal Montreal QC Canada. jcohen@polymtl.ca. Mila - Quebec AI Institute Montreal QC Canada. jcohen@polymtl.ca. NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. Department of Radiology Swiss Paraplegic Centre Nottwil Switzerland. Centre for Advanced Imaging The University of Queensland Brisbane Australia. Department of Radiology University of British Columbia Vancouver BC Canada. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown MA USA. Department of Radiology Harvard Medical School Boston MA USA. Harvard-Massachusetts Institute of Technology Health Sciences & Technology Cambridge MA USA. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia. NMR Research Unit Queen Square MS Centre UCL Queen Square Institute of Neurology Faculty of Brain Sciences University College London London UK. Department of Systems Neuroscience University Medical Center Hamburg-Eppendorf Hamburg Germany. Department of Neurosurgery Medical College of Wisconsin Milwaukee WI USA. Aix-Marseille Univ CNRS CRMBM Marseille France. APHM Hopital Universitaire Timone CEMEREM Marseille France. Vanderbilt University Institute of Imaging Science Vanderbilt University Medical Center Nashville TN USA. Department of Computer and Software Engineering Polytechnique Montreal Montreal Canada. CHU Sainte-Justine Research Centre Montreal QC Canada. Centre de Recherche CHUS CIMS Sherbrooke Canada. Sherbrooke Connectivity Imaging Lab (SCIL) Computer Science department Université de Sherbrooke Sherbrooke Canada. Université de Strasbourg CNRS ICube Strasbourg France. UHB - University Hospital Brno and Masaryk University Department of Radiology and Nuclear

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Performance evaluation of Completed Local Ternary Patterns (CLTP) for medical, scene and event image categorisation

Performance evaluation of Completed Local Ternary Patterns (...

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International Conference on software engineering and computer systems (ICSECS)

作者： Taha H. Rassem Mohammed Falah Mohammed Bee Ee Khoo Nasrin M. Makbol Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Kuantan Malaysia School of Electrical and Electronic Engineering Universiti Sains Malaysia Penang Malaysia

The Completed Local Ternary Pattern descriptor (CLTP) was proposed to overcome the drawbacks of the Local Binary Pattern (LBP). It used for rotation invariant texture classification and demonstrated superior classification accuracy with different types of texture datasets. In this paper, the performance of CLTP for image categorisation is studied and investigated. Different image datasets are used in the experiments such as the Oliva and Torralba datasets (OT8), Event sport datasets, and 2D HeLa medical images. The experimental results proved the superiority of the CLTP descriptor over the original LBP, and different new texture descriptors such as Completed Local Binary Pattern (CLBP) in the image categorisation task. In 2D HeLa medical images, the proposed CLTP achieved the highest state of the art classification rate reaching 95.62%.

关键词： Accuracy Histograms software engineering computers Biomedical imaging Training Image retrieval

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Effect of propagation model fidelity on passive radar performance predictions

Effect of propagation model fidelity on passive radar perfor...

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IEEE National Conference on Radar

作者： Ted Dabrowski William C. Barott Braham Himed Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University Daytona Beach FL Air Force Research Laboratory Dayton OH

ISBN: (纸本)9781479982332

Accurately predicting propagation loss is critical to determining if an area can support passive bistatic radars (PBRs), which must rely on illuminators of opportunity and might operate near the threshold of detection for weak targets. Models available to calculate propagation loss vary in their complexity and might include factors such as terrain, refraction, clutter, and multipath. This paper reports on work comparing two such models, the Advanced Refractive Effects Prediction System (AREPS) and the Irregular Terrain Model (ITM). An interface between AREPS, ITM, and MATLAB was developed to enable model comparisons for similar configurations. Results were incorporated into a PBR simulator to examine how the model differences affect localization performance predictions.

关键词： Mathematical model Predictive models Propagation losses Atmospheric modeling Attenuation Transmitters Computational modeling

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Land cover classification using Landsat data (study area: Pekan district, Pahang state, Malaysia)

Land cover classification using Landsat data (study area: Pe...

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International Conference on software engineering and computer systems (ICSECS)

作者： Dwi Pebrianti Luhur Bayuaji Mohamad Eliyass Bin Jamaruppin Faculty of Electrical & Electronic Engineering Universiti Malaysia Pahang Malaysia Faculty of Electrical & Electronic Engineering Universiti Malaysia Pahang Pahang Malaysia Faculty of Computer Systems & Software Engineering University Malaysia Pahang Kuantan Pahang

In order to investigate the terrain changed in areas of urban, vegetation, bare land, and water type mapping in Pekan, Pahang of Malaysia using Landsat data. The data of a district of educational and research on years 2000 and 2013, were analyzed. First, will evaluating the quality of the image of Landsat data. There were no obvious errors noticeable on the geometric and radiometric. In order to estimate the accuracy of the map derived from classification, a ground truth map was prepared using strip sampling on map. Image classification was performed using original and synthetic bands for following four land types: urban, water, bare land, vegetation, and cloud types. Classification was performed using maximum likelihood (ML). The highest accuracy was obtained by using ML classifier. According to the results of this study, the spectral data of Landsat data have a large potential for land type mapping in Pekan area mapping.

关键词： Remote sensing Satellites Earth Vegetation mapping Accuracy Urban areas Monitoring

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An approach to enhance the efficiency and consumer acceptability of a Series Plug-in Hybrid vehicle

An approach to enhance the efficiency and consumer acceptabi...

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IEEE Southeastcon

作者： Christopher Rowe Ilteris Demirkiran Derek Bonderczuk Patrick Currier Electrical Computer Software & Systems Engineering Embry-Riddle Aeronautical University U.S.A Mechanical Engineering Embry-Riddle Aeronautical University U.S.A

Embry-Riddle Aeronautical University (ERAU) has designed a hybrid electric vehicle which utilizes regenerative braking and a diesel generator in order to expand the range of the vehicle. This endeavor was made possible by the EcoCAR 2 competition sponsored by the Department of Energy, General Motors, and Argonne National Laboratory. This paper will discuss the components used to convert a Chevrolet Malibu into a plug-in hybrid electric vehicle (PHEV); as well as the control strategies used with these components. The strategies include controlling the diesel generator power plant (genset) and the floating zero point accelerator pedal map. Data taken from on road testing and the emissions and energy consumption event (E&EC) for EcoCAR 2 will be analyzed to show the effect regenerative braking and aerodynamic modifications have on the overall range of the vehicle. Vehicle efficiency is also discussed. The intent of this paper is to show how the overall mileage of the vehicle can be improved with regenerative braking while improving consumer acceptability with systems such as the floating zero point pedal control.

关键词： Vehicles Torque Generators Traction motors Testing Aerodynamics Engines

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The keystone transform: Practical limits and extension to second order corrections

The keystone transform: Practical limits and extension to se...

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IEEE National Conference on Radar

作者： Kevin M. Scott William C. Barott Braham Himed Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University FL Wright Patterson Air Force Base Air Force Research Laboratory Dayton OH

ISBN: (纸本)9781479982332

This paper reports on analytical and simulation-based investigations of the Keystone transform (KT), which is used to remove range walk in radar systems. The KT modifies the cross ambiguity function to fix a radar target at its initial range, allowing longer integration times and higher SNRs. Limits on the useful length of integration time are explored, demonstrated, and found to depend on residual range migration caused by the acceleration of the target. A second order double-Keystone transform is then presented as an alternative that corrects for both velocity-based and acceleration-based range walk and enables chirp detection of an accelerating target.

关键词： Acceleration Signal to noise ratio Transforms Chirp Time-frequency analysis Passive radar

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Evaluation of Virtual Desktop Infrastructure host using User Workload Simulator

Evaluation of Virtual Desktop Infrastructure host using User...

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IEEE Conference on Open systems (ICOS)

作者： Syahrul A. C. Abdullah Muhammad F. M. Nadzri Zainal H. C. Soh Kamal Z. Zamli Faculty of Electrical Engineering Universiti Teknologi MARA (UiTM) Shah Alam Selangor Malaysia Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang (UMP) Gambang Kuantan Pahang Malaysia

Increasing cost and complexity of maintaining physical computers have caused large organization to consider alternative solution such as implementing Virtual Desktop Infrastructure (VDI) in their enterprise network. However, before deploying VDI solution in a large scale, it is essential to evaluate the sufficiency of the solution first. As a result, User Workload Simulator was developed. The simulator was used to evaluate two VDI solutions that are named VDI A and VDI B. The objective of the evaluation is to compare which solution can be a better VDI server host. From the result, VDI A is sufficiently better than VDI B for VM density per host. But in terms of network bandwidth utilization and Input/Output Operations Per Second (IOPS) consumption per host, VDI B is sufficiently better as it utilized less network bandwidth and consumed less IOPS on most of the user profiles evaluated.

关键词： Servers Bandwidth Random access memory computers Conferences Open systems Monitoring

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An alternative UAS classification and analysis approach for integration into the national airspace system

An alternative UAS classification and analysis approach for ...

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AIAA Infotech @ Aerospace 2015

作者： Stansbury, Richard S. Rigby, Kevin Clifford, Jayson Rudolph, Dylan Department of Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University 600 S. Clyde Morris Blvd Daytona BeachFL32114 United States Department of Aeronautical Sciences Embry-Riddle Aeronautical University 600 S. Clyde Morris Blvd Daytona BeachFL32114 United States Department of Electrical and Computer Engineering Embry-Riddle Aeronautical University Benton Hall Daytona BeachFL32114 United States University of Florida GainsvilleFL32611 United States

ISBN: (数字)9781624103384

ISBN: (纸本)9781624103384

Unmanned aircraft systems (UAS) represent a disruptive technology for aviation within the United States and worldwide. Efforts have been made to develop regulations, policies, and guidance materials to minimize their impact while maintaining an equivalent or sufficient level of safety. A key challenge is that there is no one-size fits all model for UAS. Moreover, there is a variety of UAS operations proposed and ongoing where the traditional file-and-fly model is insufficient. The classification and categorization of UAS and their operations plays a key role in their integration into the National Airspace System (NAS). Current approaches, e.g. the FAA’s Small UAS Aviation Rulemaking Committee, follow traditional schemes regarding size and weight of the aircraft, the airspace in which they fly, and line-of-sight (LOS) versus beyond LOS operations. An alternative approach must be considered. At Embry-Riddle Aeronautical University, a team of researchers is addressing this problem as part of NASA’s UAS NAS Integration program. A survey of literature regarding UAS systems, UAS operations, and NextGen technologies impacting UAS operations was performed. Key differentiating parameters were analyzed using Qualify Function Deployment’s House of Quality to determine the parameters having the greatest impact on safety and NAS integration. From the analysis, an expert system has been developed to map UAS system characteristics (e.g. weight, autonomy, redundancy, etc.) to operational requirements (e.g. airspace, LOS vs. BLOS, operator requirements, maximum distance to landing site, etc.). Likewise, the expert system can map a proposed UAS operation/mission description to UAS system requirements. This paper will present this research. Several straw-man test examples will be reviewed to highlight the performance of the system under realistic UAS system and operational configurations. Lessons learned and future work will be discussed to move toward a tool to assist regulators. © 2

关键词： Expert systems

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Regression based on neural incremental attribute learning with correlation-based feature ordering

Regression based on neural incremental attribute learning wi...

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IEEE Conference on Cybernetics and Intelligent systems

作者： Ting Wang Xiaoyan Zhu Sheng-Uei Guan Ka Lok Man T. O. Ting State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing Wuxi China Department of {Computer Science and Software Engineering Electrical and Electronic Engineering} Xi'an Jiaotong-Liverpool University Suzhou China

Incremental Attribute Learning (IAL) gradually trains features in one or more size, which can be used to solve regression problems. Previous studies showed that feature ordering is crucial to IAL, and features should be sorted by some criteria. This study proposed two new feature ordering methods based on feature's group correlation and individual correlation for different situations. Experimental results show that grouped correlation-based feature ordering approach can exhibit better performance than others based on IAL neural networks in regression. Moreover, the performance of this approach is more stable than individual correlation-based approaches and some other approaches.

关键词： Correlation Correlation coefficient Neural networks Regression analysis Training Error analysis Pattern recognition

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Foreword

Proceedings of the 2016 International Conference on Image Pr...

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Proceedings of the 2016 International Conference on Image Processing, computer Vision, and Pattern Recognition, IPCV 2016 2016年

作者： Abd-Wahab, Mohd Helmy Al-Bakry, Abbas Al-Holou, Nizar Arabnia, Hamid R. Bhattacharya, Mahua Martinez Castillo, Juan Jose Daimi, Kevin Deligiannidis, Leonidas Djoudi, Lamia Atma Duong, Trung Eshaghian-Wilner, Mary Mehrnoosh Gravvanis, George A. Huang, Ruizhu Jandieri, George Kim, Byung-Gyu Kim, Tai-hoon Korovin, Iakov Lai, Guoming Lee, Hyo Jong Bin Mansor, Muhammad Naufal Marsh, Andrew Mostafaeipour, Ali Park, James J. Patil, Shashikant Ponalagusamy, R. Schaefer, Gerald Singh, Akash Solo, Ashu M.G. Swee, Sim Kok Thomas, Jaya Tinetti, Fernando G. Vladimir, Hahanov Wang, Shiuh-Jeng Yang, Mary Yoe, Hyun You, Jane Zhao, Wenbing Department of Computer Engineering University Tun Hussein Onn Malaysia Malaysia University of IT and Communications Baghdad Iraq Electrical and Computer Engineering Department IEEE/SEM-Computer Chapter University of Detroit Mercy DetroitMI United States University of Georgia United States ABV Indian Institute of Information Technology and Management MHRD Government of India India Acantelys Alan Turing Nikola Tesla Research Group and GIPEB Universidad Nacional Abierta Venezuela Computer Science and Software Engineering Programs Department of Mathematics Computer Science and Software Engineering University of Detroit Mercy DetroitMI United States Department of Computer Information Systems Wentworth Institute of Technology BostonMA United States Synchrone Technologies France Rutgers University State University of New Jersey New Jersey United States University of Southern California California United States Electrical Engineering University of California Los Angeles Los Angeles [UCLA CA United States Advanced Scientific Computing Applied Math and Applications Research Group Applied Mathematics and Numerical Computing and Department of ECE School of Engineering Democritus University of Thrace Xanthi Greece Texas Advanced Computing Center University of Texas AustinTX United States Georgian Technical University Tbilisi Georgia Institute of Cybernetics Georgian Academy of Science Georgia Multimedia Processing CommunicationsLab.[MPCL Department of Computer Science and Engineering College of Engineering SunMoon University Korea Republic of School of Information and Computing Science University of Tasmania Australia Southern Federal University Russia Computer Science and Technology Sun Yat-Sen University Guangzhou China Center for Advanced Image and Information Technology Division of Computer Science and Engineering Chonbuk National University Korea Republic of Faculty of Engineering Technology Kampus Uniciti Alam Universiti Malaysia Perlis UniMAP Malaysi

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