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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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High-energy-density electron beam from interaction of two successive laser pulses with subcritical-density plasma

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Physical Review Accelerators and Beams 2016年第2期19卷 021301-021301页

作者： J. W. Wang W. Yu M. Y. Yu H. Xu J. J. Ju S. X. Luan M. Murakami M. Zepf S. Rykovanov Helmholtz Institute Jena Jena 07743 Germany State Key Laboratory of High Field Laser Physics Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai 201800 China Institute for Fusion Theory and Simulation and the Department of Physics Zhejiang University Hangzhou 310027 China Institute for Theoretical Physics I Ruhr University Bochum D-44780 Germany National Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha 410073 China Institute of Laser Engineering Osaka University Osaka 565-0871 Japan Centre for Plasma Physics School of Mathematics and Physics Queen’s University Belfast Belfast BT7 1NN United Kingdom

It is shown by particle-in-cell simulations that a narrow electron beam with high energy and charge density can be generated in a subcritical-density plasma by two consecutive laser pulses. Although the first laser pulse dissipates rapidly, the second pulse can propagate for a long distance in the thin wake channel created by the first pulse and can further accelerate the preaccelerated electrons therein. Given that the second pulse also self-focuses, the resulting electron beam has a narrow waist and high charge and energy densities. Such beams are useful for enhancing the target-back space-charge field in target normal sheath acceleration of ions and bremsstrahlung sources, among others.

关键词： Plasma acceleration & new acceleration techniques

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An approximation of surprise index as a measure of confidence

An approximation of surprise index as a measure of confidenc...

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AAAI 2015 Fall Symposium

作者： Zagorecki, Adam Kozniewski, Marcin Druzdzel, Marek J. Center for Simulation and Analytics Cranfield University Defence Academy of United Kingdom ShrivenhamSN6 8LA United Kingdom Decision Systems Laboratory School of Information Sciences University of Pittsburgh PittsburghPA15260 United States Faculty of Computer Science Bialystok University of Technology Wiejska 45A Bialystok15-351 Poland

ISBN: (纸本)9781577357513

Probabilistic graphical models, such as Bayesian networks, are intuitive and theoretically sound tools for modeling uncertainty. A major problem with applying Bayesian networks in practice is that it is hard to judge whether a model fits well a case that it is supposed to solve. One way of expressing a possible dissonance between a model and a case is the surprise index, proposed by Habbema, which expresses the degree of surprise by the evidence given the model. While this measure reflects the intuition that the probability of a case should be judged in the context of a model, it is computationally intractable. In this paper, we propose an efficient way of approximating the surprise index. © Copyright 2015, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Bayesian networks

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A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projection

A robust comparison approach of velocity data between MRI an...

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IEEE International Symposium on Biomedical Imaging

作者： Taha Sabri Koltukluoglu Sven Hirsch Christian Binter Sebastian Kozerke Gábor Székely Aymen Laadhari Computer Vision Laboratory Swiss Federal Institute of Technology Zürich Institute of Applied Simulation Zurich University of Applied Sciences Wädenswil Institute for Biomedical Engineering Swiss Federal Institute of Technology Zürich

ISBN: (纸本)9781467393300

Recent achievements in 4D flow MRI increased the interest of CFD-MRI studies, which require comparison of velocity fields from both approaches for validation purposes. A novel flow regularization approach is proposed to provide a ground truth and to perform robust, mathematically reasonable comparisons between CFD and MRI. Our suggested method projects the measured and denoised data into the same space as the computational domain and applies the Helmholtz-Hodge theorem to recover the divergence-free property of the flow field by decomposing the velocity field into its divergence-free, curl-free and harmonic components. Furthermore, an aortic phantom study has been set-up under fully controlled laminar flow conditions with helical flow patterns to validate the proposed method using phase-contrast MRI measurements, whereas a dynamic stenosed case was used under turbulent flow conditions to analyse the robustness of applied pre-processings including the denoising of MRI data and the decomposition of velocity vector field.

关键词： Magnetic resonance imaging Phantoms Computational modeling Biomedical measurement Boundary conditions Load modeling Computational fluid dynamics

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simulations of the hazard detection system for approach trajectories of the Morpheus lunar lander

Simulations of the hazard detection system for approach traj...

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AIAA Guidance, Navigation, and Control Conference 2015, MGNC 2015 - Held at the AIAA SciTech Forum 2015

作者： Luna, Michael E. Huertas, Andres Trawny, Nikolas Villalpando, Carlos Y. Martin, Keith E. Wilson, William Restrepo, Carolina I. Guidance & Control Section Jet Propulsion Laboratory California Institute of Technology Mail Stop 198-235 PasadenaCA91109 United States Mobility & Robotics Systems Section Jet Propulsion Laboratory California Institute of Technology Mail Stop 198-235 PasadenaCA91109 United States GN&C Hardware & Testbed Development Jet Propulsion Laboratory California Institute of Technology Mail Stop 198-235 PasadenaCA91109 United States Advanced Computer Systems & Technologies Jet Propulsion Laboratory California Institute of Technology Mail Stop 198-138 PasadenaCA91109 United States Simulation & Support Equipment Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States GN&C Hardware & Testbed Development Jet Propulsion Laboratory California Institute of Technology Mail Stop 198-235 PasadenaCA91109 United States Integrated GN&C Analysis Branch NASA Johnson Space Center HoustonTX77058 United States

ISBN: (纸本)9781510801097

The Hazard Detection System is part of a suite of sensors and algorithms designed to autonomously land a vehicle on unknown terrain while avoiding any hazards. This paper describes the simulations built to predict the performance of the Hazard Detection System to support flight testing onboard the Morpheus Lander testbed at the Kennedy Space Center. The paper describes a hardware-in-the-loop simulation that was used to predict system performance under nominal operating conditions, and also a Monte Carlo simulation to predict command timing performance bounds under a wide range of varying conditions. © 2015, E-flow American Institute of Aeronautics and Astronautics (AIAA). All rights reserved.

关键词： Monte Carlo methods

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Flight testing a real-time hazard detection system for safe lunar landing on the rocket-powered morpheus vehicle

Flight testing a real-time hazard detection system for safe ...

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AIAA Guidance, Navigation, and Control Conference 2015, MGNC 2015 - Held at the AIAA SciTech Forum 2015

作者： Trawny, Nikolas Huertas, Andres Luna, Michael E. Villalpando, Carlos Y. Martin, Keith E. Carson, John M. Johnson, Andrew E. Restrepo, Carolina Roback, Vincent E. GN&C Hardware and Testbed Development Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States Maritime & Aerial Perception Systems Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States Guidance & Control Operations Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States Advanced Computer Systems & Technologies Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States Simulation & Support Equipment Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States Integrated GN&C Analysis Branch NASA Johnson Space Center HoustonTX77058 United States Remote Sensing Flight Systems Branch NASA Langley Research Center HamptonVA23681 United States

ISBN: (纸本)9781510801097

The Hazard Detection System (HDS) is a component of the ALHAT (Autonomous Landing and Hazard Avoidance technology) sensor suite, which together provide a lander Guidance, Navigation and Control (GN&C) system with the relevant measurements necessary to enable safe precision landing under any lighting conditions. The HDS consists of a stand-alone compute element (CE), an Inertial Measurement Unit (IMU), and a gimbaled ash LIDAR sensor that are used, in real-time, to generate a Digital Elevation Map (DEM) of the landing terrain, detect candidate safe landing sites for the vehicle through Hazard Detection (HD), and generate hazard-relative navigation (HRN) measurements used for safe precision landing. Following an extensive ground and helicopter test campaign, ALHAT was integrated onto the Morpheus rocket-powered terrestrial test vehicle in March 2014. Morpheus and ALHAT then performed five successful free flights at the simulated lunar hazard field constructed at the Shuttle Landing Facility (SLF) at Kennedy Space Center, for the first time testing the full system on a lunar-like approach geometry in a relevant dynamic environment. During these flights, the HDS successfully generated DEMs, correctly identified safe landing sites and provided HRN measurements to the vehicle, marking the first autonomous landing of a NASA rocket-powered vehicle in hazardous terrain. This paper provides a brief overview of the HDS architecture and describes its in-flight performance. © 2015, E-flow American Institute of Aeronautics and Astronautics (AIAA). All rights reserved.

关键词： Hazards

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Insurance Strategy Can Promote Cooperation in the Presence of Antisocial Punishment in Public Goods Game

Insurance Strategy Can Promote Cooperation in the Presence o...

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International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)

作者： Hong Ding Yao Zhang Haiyang Hu Lei Shu Yizhi Ren Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou Dianzi University Hangzhou China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Guangdong Petrochemical Equipment Fault Diagnosis Key Laboratory Guangdong University of Petrochemical Technology Maoming China

Previous researches have well demonstrated the importance of costly punishment for promoting the evolution of cooperation, while it remains unconsidered sides about the punishment. Recent evidences highlight that punishment cannot promote cooperation when punishment can be targeted at cooperators. In this paper, we study the evolutionary process of cooperation in the well-mixed population when the presence of antisocial punishment. Here cooperator can optionally adopt an insurance strategy which incurs an extra cost to resist the threat of antisocial punishment, and she will obtain compensation when being punished by antisocial punisher in the future. With this strategy, cooperators can opportunistically adjust their behavior, which makes cooperators evolve advantageously, and improve individuals' average payoff in population.

关键词： Sociology Statistics Insurance Integrated circuits Games Resists Investment

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The vehicle cooperative adaptive cruise control algorithm for applying to the ramp

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Journal of Computational Information Systems 2014年第20期10卷 8645-8652页

作者： Zhang, Jindong Gao, Zhenhai Zhang, Xiaolong Liu, Liu Xue, Yang Wu, Xingchen Li, Yahui College of Computer Science and Technology University of Jilin Changchun China State Key Laboratory of Automobile Simulation and Control University of Jilin Changchun China Center for Computer Fundamental Education and Research University of Jilin Changchun China

CACC (Cooperative Adaptive Cruise Control) is a new direction in the research of cruise control, aiming at improving driving safety, comfort, the efficiency of traffic flow, and reducing exhaust emissions. At present, the researches of CACC are carried out on flat roads without taking the ramp into consideration. This paper focuses on how to improve vehicle driving safety (to prevent the collision caused by the previous vehicle's slipping backwards) and comfort on the ramp. Using GPS (Global Positioning System) to obtain altitude value of vehicles, and V2V (Vehicle-to-Vehicle) to achieve data interaction in vehicles, this study compares the altitude changes between the host-vehicle and the front-vehicle to reflect the traveling road ramp changes, then proposes a vehicle cooperative adaptive cruise control algorithm applying to the ramp. The paper is primarily concerned with the vehicle kinematic control algorithm and assumes the data obtained through GPS and V2V communication in vehicles is real time and accurate. In MATLAB/SIMULINK and CARSIM joint simulation experiment, this study demonstrates the algorithm significantly increases driving safety and comfort.

关键词： Vehicles

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Reliable Microwave Modeling by Means of Variable-Fidelity Response Features

Reliable Microwave Modeling by Means of Variable-Fidelity Re...

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作者： Koziel, Slawomir Bandler, John W. School of Science and Engineering Reykjavík University Reykjavík101 Iceland Faculty of Electronics Telecommunications and Informatics Gdañsk University of Technology Gdañsk80-233 Poland Simulation Optimization Systems Research Laboratory Department of Electrical and Computer Engineering McMaster University HamiltonONL8S4K1 Canada Bandler Corporation DundasONL9H5E7 Canada

In this work, methodologies for low-cost and reliable microwave modeling are presented using variable-fidelity response features. The two key components of our approach are: 1) a realization of the modeling process at the level of suitably selected feature points of the responses (e.g., S-parameters versus frequency) of the structure at hand and 2) the exploitation of variable-fidelity EM simulation data, also for the response feature representation. Due to the less nonlinear dependence between the coordinates of the feature points on the geometrical parameters of the structure of interest, the amount of training data can be greatly reduced. Additional cost reduction is obtained by means of generating the majority of the training data at a coarse-discretization EM simulation level and exploiting the correlations between the EM models of various fidelities. We propose two ways of combining the low-and high-fidelity data sets: 1) an external approach, through space mapping (simpler to implement) and 2) an internal approach, using co-kriging (more flexible and potentially offering better accuracy). The operation and performance of our modeling techniques are demonstrated by three microstrip filter examples and a compact rat-race coupler. A comprehensive verification and comparisons with several benchmark techniques, as well as application examples (filter optimization) are also provided. © 2015 IEEE.

关键词： Kriging

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On the Shortest Path Planning for the Carangiform Robotic Fish 33

On the Shortest Path Planning for the Carangiform Robotic Fi...

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第三十三届中国控制会议

作者： LIU Chang CHEN Songlin Jianxun Wang Xiaobo Tan Control and Simulation Center Harbin Institute of Technology Smart Microsystems Laboratory Department of Electrical and Computer EngineeringMichigan State UniversityEast LansingMI 48824USA

ISBN: (纸本)9781479947249

Considering the under-actuated characteristic of the carangiform robotic fish whose forward movement and turning are carried out by its single caudal fin, this paper investigates its shortest path planning problem subjected to the terminal constrains. First, a simplified kinematics model is proposed in view of its locomotion characteristic. With this model, the shortest path planning is transformed into the shortest time optimal control problem and the maximum principle is employed to obtain the necessary condition. Furthermore, based on the analysis on the relationship between the length of all feasible paths and the terminal condition, the sufficient and necessary conditions are derived for the shortest path under any terminal constrains. Finally, a program developed with Matlab verifies the effectiveness of the proposed results.

关键词： carangiform robotic fish,shortest path,maximum principle

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