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arXiv 2018年

作者： Maier-Hein, Lena Eisenmann, Matthias Reinke, Annika Onogur, Sinan Stankovic, Marko Scholz, Patrick Arbel, Tal Bogunovic, Hrvoje Bradley, Andrew P. Carass, Aaron Carolin Feldmann Frangi, Alejandro F. Ful, Peter M. van Ginneken, Bram Hanbury, Allan Honauer, Katrin Kozubek, Michal Landman, Bennett A. Marz, Keno Maier, Oskar Maier-Hein, Klaus Menze, Bjoern H. Müller, Henning Neher, Peter F. Niessen, Wiro Rajpoot, Nasir Sharp, Gregory C. Sirinukunwattana, Korsuk Speidel, Stefanie Stock, Christian Stoyanov, Danail Taha, Abdel Aziz van der Sommen, Fons Wang, Ching-Wei Weber, Marc-André Zheng, Guoyan Jannin, Pierre Kopp-Schneider, Annette Heidelberg Germany Centre for Intelligent Machines McGill University MontrealQC Canada Christian Doppler Laboratory for Ophthalmic Image Analysis Department of Ophthalmology Medical University Vienna Vienna Austria Science and Engineering Faculty Queensland University of Technology BrisbaneQLD Australia Department of Electrical and Computer Engineering Department of Computer Science Johns Hopkins University Baltimore United States CISTIB Centre for Computational Imaging and Simulation Technologies in Biomedicine University of Sheffield Sheffield United Kingdom Department of Radiology and Nuclear Medicine Medical Image Analysis Radboud University Center Nijmegen Netherlands Institute of Information Systems Engineering TU Wien Vienna Austria Heidelberg University Heidelberg Germany Centre for Biomedical Image Analysis Masaryk University Brno Czech Republic Electrical Engineering Vanderbilt University NashvilleTN United States Institute of Medical Informatics Universität zu Lübeck Lübeck Germany Heidelberg Germany Institute for Advanced Studies Department of Informatics Technical University of Munich Munich Germany Information System Institute HES-SO Sierre Switzerland Departments of Radiology Nuclear Medicine and Medical Informatics Erasmus MC Rotterdam Netherlands Department of Computer Science University of Warwick Coventry United Kingdom Department of Radiation Oncology Massachusetts General Hospital BostonMA United States Institute of Biomedical Engineering University of Oxford Oxford United Kingdom National Center for Tumor Diseases Dresden Dresden Germany Heidelberg Germany Department of Computer Science University College London London United Kingdom Data Science Studio Research Studios Austria FG Vienna Austria Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands AIExplore NTUST Center of Computer Vision and Medical Imaging Graduate Institute of Biomedical Engineering National Ta

International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of common practices related to the organization of challenges has not yet been performed. In this paper, we present a comprehensive analysis of biomedical image analysis challenges conducted up to now. We demonstrate the importance of challenges and show that the lack of quality control has critical consequences. First, reproducibility and interpretation of the results is often hampered as only a fraction of relevant information is typically provided. Second, the rank of an algorithm is generally not robust to a number of variables such as the test data used for validation, the ranking scheme applied and the observers that make the reference annotations. To overcome these problems, we recommend best practice guidelines and define open research questions to be addressed in the future. Copyright © 2018, The Authors. All rights reserved.

关键词： Quality control

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Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

arXiv

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arXiv 2019年

作者： Snyder, Michael P. Lin, Shin Posgai, Amanda Atkinson, Mark Regev, Aviv Rood, Jennifer Rozenblatt-Rosen, Orit Gaffney, Leslie Hupalowska, Anna Satija, Rahul Gehlenborg, Nils Shendure, Jay Laskin, Julia Harbury, Pehr Nystrom, Nicholas A. Bar-Joseph, Ziv Zhang, Kun Börner, Katy Lin, Yiing Conroy, Richard Procaccini, Dena Roy, Ananda L. Pillai, Ajay Brown, Marishka Galis, Zorina S. Cai, Long Shendure, Jay Trapnell, Cole Lin, Shin Jackson, Dana Snyder, Michael P. Nolan, Garry Greenleaf, William James Lin, Yiing Plevritis, Sylvia Ahadi, Sara Lee, Hayan Nevins, Stephanie Esplin, Ed Horning, Aaron Bahmani, Amir Zhang, Kun Sun, Xin Jain, Sanjay Hagood, James Kharchenko, Peter Atkinson, Mark Bodenmiller, Bernd Brusko, Todd Clare-Salzler, Michael Nick, Harry Otto, Kevin Posgai, Amanda Wasserfall, Clive Maffioletti, Sergio Caprioli, Richard M. Spraggins, Jeffrey M. Gutierrez, Danielle Patterson, Nathan Heath Neumann, Elizabeth K. Harris, Raymond deCaestecker, Mark de Plas, Raf Van Lau, Ken Cai, Long Yuan, Guo-Cheng Zhu, Qian Dries, Ruben Yin, Peng Saka, Sinem K. Kishi, Jocelyn Y. Wang, Yu Goldaracena, Isabel Laskin, Julia Ye, DongHye Burnum-Johnson, Kristin E. Piehowski, Paul D. Ansong, Charles Zhu, Ying Harbury, Pehr Desai, Tushar Mulye, Jay Chou, Peter Nagendran, Monica Bar-Joseph, Ziv Teichmann, Sarah A. Paten, Benedict Murphy, Robert F. Ma, Jian Kiselev, Vladimir Yu Kingsford, Carl Ricarte, Allyson Ruffalo, Matthew Gehlenborg, Nils Kharchenko, Peter Vella, Margaret McCallum, Chuck Börner, Katy Cross, Leonard E. Friedman, Samuel H. Heiland, Randy Herr, Bruce Macklin, Paul Quardokus, Ellen M. Record, Lisel Sluka, James P. Weber, Griffin M. Nystrom, Nicholas A. Silverstein, Jonathan C. Blood, Philip D. Ropelewski, Alexander J. Shirey, William E. Mabee, Paula Lenhardt, W. Christopher Robasky, Kimberly Michailidis, Stavros Satija, Rahul Marioni, John Regev, Aviv Butler, Andrew Stuart, Tim Fisher, Eyal Ghazanfar, Shila Rood, Jennifer Gaffney, Leslie Ersalan, Gokcen Biancalani, Tommaso Conroy, Richard Procaccini, Dena Roy, Anan School of Medicine Stanford University 300 Pasteur Drive United States Department of Genetics Stanford School of Medicine StanfordCA94305 United States Department of Medicine University of Washington SeattleWA98195 United States Department of Pathology University of Florida Diabetes Institute GainesvilleFL32610 United States Klarman Cell Observatory Broad Institute of MIT and Harvard CambridgeMA02142 United States Howard Hughes Medical Institute Koch Institute of Integrative Cancer Research Department of Biology Massachusetts Institute of Technology CambridgeMA02140 United States New York Genome Center New York CityNY10013 United States New York University New YorkNY10012 United States Department of Biomedical Informatics Harvard Medical School BostonMA02115 United States Department of Genome Sciences University of Washington SeattleWA98105 United States Department of Chemistry Purdue University West LafayetteIN47907 United States Department of Biochemistry Stanford University School of Medicine StanfordCA94305 United States Pittsburgh Supercomputing Center Carnegie Mellon University PittsburghPA15213 United States Department of Computational Biology School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Bioengineering University of California San Diego La JollaCA92093 United States Department of Intelligent Systems Engineering School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Surgery Washington University School of Medicine St LouisMO63110 United States Division of Program Coordination Planning and Strategic Initiatives National Institutes of Health BethesdaMD20892 United States National Human Genome Research Institute National Institutes of Health BethesdaMD20892 United States National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Caltech-UW TMC Departmen

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible 3D molecular and cellular atlas of the human body, in health and various disease settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Mapping

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Current status and framework of China's inland passenger ship safety system

Current status and framework of China's inland passenger shi...

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International Conference on Logistics, Informatics and Service Sciences (LISS)

作者： Shiqi Fan Di Zhang Eduardo Blanco-Davis Jin Wang Ming Huang Fan Zhang Xinping Yan School of Logistics Engineering National Engineering Research Centre for Water Transport Safety Wuhan China National Engineering Research Centre for Water Transport Safety Wuhan University of Technology Wuhan China Department of Maritime and Mechanical Engineering Liverpool John Moores University Liverpool United Kingdom School of Navigation Wuhan University of Technology Wuhan China National Engineering Research Centre for Water Transport Safety Intelligent Transport Systems Research Centre Wuhan China

ISBN: (纸本)9781509011032

Inland passenger shipping is one of the most convenient means of waterborne travel. However, recent serious accidents with passenger ships in China, have exposed a certain weakness in the country's inland passenger ship safety system. It is thus vital to overview the current conditions of China's inland passenger ship safety system, with regard to the different ship types, employment, management systems, legislative documents, specifications and standards, navigational regulations and emergency rescue procedures. In doing so, this paper analyses similarities and discrepancies with overseas inland river passenger ship safety systems. The paper then outlines the principles and proposes suggestions underlining the improved construction and implementation of the inland ship system. In particular, the last is done considering ship design, construction, operation, regulation, emergency rescue, practitioners, and relevant documents. The purpose of this work is to provide recommendations for policy making and scientific research on inland passenger transport with life cycle perspective.

关键词： Marine vehicles Safety Rivers Accidents Navigation Standards Europe

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A multivariate empirical mode decomposition based filtering for subject independent BCI

A multivariate empirical mode decomposition based filtering ...

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Irish Signals and systems Conference (ISSC)

作者： Pramod Gaur Ram Bilas Pachori Hui Wang Girijesh Prasad Intelligent Systems Research Centre Ulster University L'Derry U.K. Discipline of Electrical Engineering Indian Institute of Technology Indore Indore India School of Computing and Mathematics Ulster University Jordanstown U.K.

ISBN: (纸本)9781509034109

Goal: A brain-computer interface (BCI) provides a way to translate the motion intentions of human using brain signals such as electroencephalogram (EEG) into control commands. EEG signals are highly subject specific and non-stationary. One of the most challenging tasks is to classify motion intentions since the recorded EEG signals have inherent non-stationarities which are due to changes in the signal properties over time within as well as across sessions. Thus it becomes difficult to achieve a stable operation of BCI. Method: We present a novel filtering method based on the multivariate empirical mode decomposition (MEMD) using subject independent BCI (MEMD-SI-BCI) for classification of motor imagery (MI) based EEG signals to achieve enhanced BCI. A subject independent BCI can be used immediately by the new user without using the user's training data. The MEMD method helps to utilize the cross channel information and enhance localization properties. It decomposes multichannel EEG signals into a set of multivariate intrinsic mode functions (MIMFs). These MIMFs can be considered narrow-band, amplitude and frequency modulated (AM-FM) signals. The statistical property, namely, mean frequency measure of these MIMFs has been used to combine these MIMFs to compute the enhanced EEG signals which have major contributions due to μ and β rhythms over the motor cortex region. The objective of the proposed method is to filter EEG signals before feature extraction and classification to enhance the features separability and ultimately the BCI task classification performance. The common spatial pattern (CSP) feature has been computed from the enhanced EEG signals and has been used as a feature set for classification of left hand and right hand MIs using a linear discriminant analysis (LDA) based classification method. Results: We have achieved an improvement of >11% in the evaluation stage using the MEMD-SI-BCI method when compared with SI-BCI. Significance: This study helps to d

关键词： Electroencephalography Feature extraction Empirical mode decomposition Training Linear discriminant analysis Electrooculography Brain-computer interfaces

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A new unidirectional coupling for global synchronization of two Hindmarsh-Rose neurons

A new unidirectional coupling for global synchronization of ...

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第27届中国控制与决策会议

作者： Ke Ding Qing-Long Han School of Information Technology Jiangxi University of Finance and Economics Jiangxi E-commerce High Level Engineering Technology Research Centre Griffith School of Engineering Griffith UniversityGold Coast Campus Centre for Intelligent and Networked Systems Central Queensland University

ISBN: (纸本)9781479970186

In this paper,a new unidirectional coupling for global synchronization of two Hindmarsh-Rose neurons is *** with existing results,external control for global synchronization is no longer required.A synchronization criterion of two Hindmarsh-Rose neurons with rigorous mathematical proof is *** example is given to illustrate the effectiveness of the obtained result.

关键词： Synchronization,Unidirectional coupling,Hindmarsh-Rose neuron

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Mean-risk analysis of radio frequency identification technology in supply chain with inventory misplacement: Risk-sharing and coordination

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Omega 2014年 46卷 86-103页

作者： Shuang Chen Hongwei Wang Yong Xie Chao Qi Key Laboratory of Image Processing and Intelligent Control Institute of Systems Engineering Huazhong University of Science & Technology Wuhan 430074 PR China Economic Research Centre Technical Economy and Consultation Department Guangdong Electric Power Design Institute Guangzhou 510663 PR China

This paper investigates the application of radio frequency identification (RFID) technology to eliminate the misplacement problems in the supply chain, which consists of a risk-neutral manufacturer and a risk-averse retailer. By considering both fixed cost and tag cost of RFID implementation, we study the agents' incentives to adopt RFID in both uncoordinated and coordinated cases. We focus on analyzing the impact of risk attitudes on the agents’ incentives and on the supply chain coordination. The central semi-deviation is adopted to measure the retailer's risk attitude. In the uncoordinated case, we find that, in order to induce the retailer to adopt RFID, the manufacturer must assume more fixed cost if the retailer is more risk-averse. In the coordinated case, we first show that the standard revenue sharing contract does not always coordinate the channel. If the channel is coordinated, we observe that the agents’ incentives will be perfectly aligned and independent of the risk attitudes, if the revenue sharing ratio equals the fixed cost sharing ratio. Then we propose a risk-sharing contract that offers the risk protection to the retailer, to achieve the channel coordination. An interesting finding is that the manufacturer's incentive will not decrease with the tag cost, if she takes much risk from the retailer. The corresponding impacts of RFID adoption on the two contracts are also analyzed in this paper. Finally, a case study in a tobacco industry is presented to show the real RFID cost in practice.

关键词： RFID radio frequency identification MV mean–variance CSD central semi-deviation SSD second-order stochastic dominance PDF probability density function CDF cumulative density function Radio frequency identification Inventory misplacement Central semi-deviation Risk-averse Risk sharing Coordination

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World Congress Integrative Medicine & Health 2017: part two Berlin, Germany. 3-5 May 2017 Abstracts

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BMC COMPLEMENTARY AND ALTERNATIVE MEDICINE 2017年第SUPPL 1期17卷 317-317页

作者： [Anonymous] National Institute of Complementary Medicine Western Sydney University Sydney Australia Department of General Practice University of Melbourne Melbourne Australia School of Rehabilitation Therapy Queens University Ontario Canada School of Health and Biomedical Sciences RMIT University Melbourne Australia School of Public Health and Preventive Medicine Monash University Melbourne Australia NAFKAM UiT The Arctic University of Norway Tromsø 9019 Norway Department of Psychology University of Sheffield Sheffield S1 1HD UK Department of Community Medicine UiT The Arctic University of Norway Tromsø 9019 Norway Institue of General Practice Goethe University Frankfurt Frankfurt 60590 Germany Department of General Practice University of Tübingen Tübingen Germany Med.-pharm. Information/Klinische Forschung WALA Heilmittel GmbH Bad Boll/ Eckwälden 73087 Germany Ressortleitung Wissenschaft WALA Heilmittel GmbH Bad Boll/Eckwälden 73087 Germany University of Minnnesota Minneapolis 55455 MN USA Minneapolis College of Art and Design Minneapolis MN USA Duke University Durham NC USA Caring Bridge Minneapolis MN USA University of Minnesota Minneapolis 55455 MN USA Phytomedicines Supply and Development Center Innovation & Development Bayer Consumer Health Steigerwald Arzneimittelwerk GmbH Darmstadt 68526 Germany University Medicine of Rostock Rostock 18055 Germany Primary Care and Population Sciences University of Southampton Southampton UK Psychology University of Southampton Southampton UK Faculty of Health University of Technology Sydney Sydney 2007 Australia st Department of Pathology and Experimental Cancer Research Semmelweis University Budapest 1085 Hungary University of Alberta Edmonton Canada Parker University Dallas TX USA Canadian Memorial Chiropractic College Toronto Canada Anglo-European College of Chiropractic Bournemouth UK University of Calgary Calgary Canada University of Toronto Toronto Canada University of Hawaii at Manoa Honolulu Hawai’

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Video Driven Traffic Modelling

Video Driven Traffic Modelling

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IEEE/ASME (AIM) International Conference on Advanced intelligent Mechatronics

作者： Hailing Zhou Douglas Creighton Lei Wei David Yang Gao Saeid Nahavandi Centre for Intelligent Systems Research (CISR) Deakin University Australia School of Science Information Technology and Engineering University of Ballarat Australia

We propose Video Driven Traffic Modelling (VDTM) for accurate simulation of real-world traffic behaviours with detailed information and low-cost model development and maintenance. Computer vision techniques are employed to estimate traffic parameters. These parameters are used to build and update a traffic system model. The model is simulated using the Paramics traffic simulation platform. Based on the simulation techniques, effects of traffic interventions can be evaluated in order to achieve better decision makings for traffic management authorities. In this paper, traffic parameters such as vehicle types, times of starting trips and corresponding origin-destinations are extracted from a video. A road network is manually defined according to the traffic composition in the video, and individual vehicles associated with extracted properties are modelled and simulated within the defined road network using Paramics. VDTM has widespread potential applications in supporting traffic decision-makings. To demonstrate the effectiveness, we apply it in optimizing a traffic signal control system, which adaptively adjusts green times of signals at an intersection to reduce traffic congestion.

关键词： Vehicles Computational modeling Roads Cameras Delays Vehicle detection Biological system modeling

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Constrained MPC Design for Heave Disturbance Attenuation in Offshore Drilling systems

Constrained MPC Design for Heave Disturbance Attenuation in ...

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Oceans 2013 - Norway

作者： Amirhossein Nikoofard Tor Arne Johansen Hessam Mahdianfar Alexey Pavlov Center for Autonomous Marine Operations and Systems (AMOS) Department of Engineering Cybernetics Norwegian University of Science and Technology Statoil Research Centre Department of Intelligent Well Construction

ISBN: (纸本)9781479900022

This paper presents a constrained model predictive control scheme for regulation of the annular pressure in a well during managed pressure drilling from a floating rig subject to heave motion. The results show that closed-loop simulation without disturbance has a fast regulation response and without any overshoot. The robustness of controller to deal with heave disturbances is investigated. The constrained MPC shows good disturbance rejection capabilities. The simulation results show that this controller has better performance than a PID controller and is also capable of handling constraints of the system with the heave disturbance.

关键词： Managed pressure drilling Heave Compensation and model predictive control

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Fuzzy separation potential function based flocking control of multiple AUVs

Fuzzy separation potential function based flocking control o...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Basant Kumar Sahu Madan M. Gupta Bidyadhar Subudhi University of Saskatchewan Saskatoon SK CA Intelligent Systems Research Laboratory College of Engineering University of Saskatchewan Saskatoon SAS Canada Centre for Industrial Electronics and Robotics National Institute of Technology Rourkela Odisha India

ISBN: (纸本)9781479903467

In this paper, we present a flocking control algorithm for a group of autonomous underwater vehicles (AUVs) using the leader-follower concept. Leader vehicle have global knowledge of desired trajectory and other AUVs are chosen as followers which are mounted with sensors to estimate the positions of neighbor AUVs. The follower vehicles have no knowledge of desired path. There is a flocking center is estimated to keep all AUVs connected in group. This flocking center is a virtual point whose position can be calculated by applying consensus algorithm. The controller for the leader and follower AUVs are designed using fuzzy variable based artificial potential functions. The efficacy and accuracy of the developed controller is verified through simulation studies considering four AUVs flocking in a group.

关键词： Symmetric matrices Vehicles Lead Trajectory Vectors Integrated circuits Algorithm design and analysis

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