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International Conference on Systems and Informatics (ICSAI)

作者： Wenhui Li Feng Qu Ying Wang Peixun Liu College of Computer Science and Technology Jilin University College of Software Engineering Jilin University State Key Laboratory of Automotive Simulation and Control Jilin University Changchun China

ISBN: (纸本)9781479954599

As a part of a driver assistance system, vehicle top-view system plays an important role in driving safety. The objective of this research is to develop a vision-based top-view system to expand drivers' field of view. Four cameras provide a 360-degree view of the surrounding terrain of the vehicle, and the destination image is composed by these four processed images. In this paper, we divide the procedure into 4 parts, fisheye lens distortion correction, inverse perspective transformation, image mosaicking and pixels mapping table creation. Every part is achieved by one-to-one mapping between pixels, so most of the calculation has been done on PC. The experimental results show that, the final image is clear, natural and have very good real-time performance. It can effectively reduce the blind spots of drivers, and it has a strong value for research and practical.

关键词： Vehicles Cameras Mathematical model Lenses Calibration Equations Educational institutions

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Gas-liquid Two Phase Flow Modelling of Incompressible Fluid and Experimental Validation Studies in Vertical Centrifugal Casting

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IOP Conference Series: Materials Science and Engineering 2015年第1期84卷

作者： J X Zhou X Shen Y J Yin Z Guo H Wang State Key Laboratory of Material Processing and Die &Mould Technology Huazhong University of Science and Technology Wuhan China Corresponding author: Male Professor Ph.D. His research interests mainly focus on the computer applications in foundry especially on casting process simulation and informatization for foundry enterprise

In this paper, Gas-liquid two phase flow mathematic models of incompressible fluid were proposed to explore the feature of fluid under certain centrifugal force in vertical centrifugal casting (VCC). Modified projection-level-set method was introduced to solve the mathematic models. To validate the simulation results, two methods were used in this study. In the first method, the simulation result of basic VCC flow process was compared with its analytic solution. The relationship between the numerical solution and deterministic analytic solution was presented to verify the correctness of numerical algorithms. In the second method, systematic water simulation experiments were developed. In this initial experiment, special experimental vertical centrifugal device and casting shapes were designed to describe typical mold-filling processes in VCC. High speed camera system and data collection devices were used to capture flow shape during the mold-filling process. Moreover, fluid characteristic at different rotation speed (from 40rpm, 60rpmand 80rpm) was discussed to provide comparative resource for simulation results. As compared with the simulation results, the proposed mathematical models could be proven and the experimental design could help us advance the accuracy of simulation and further studies for VCC.

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The Through Process simulation of Mold filling, Solidification, and Heat Treatment of the Al Alloy Bending Beam Low-pressure Casting

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IOP Conference Series: Materials Science and Engineering 2015年第1期84卷

作者： Yajun Yin Jianxin Zhou Zhao Guo Huan Wang Dunming Liao Tao Chen Corresponding author: Male Professor Ph.D. His research interests mainly focus on the computer applications in foundry especially on casting process simulation and informatization for foundry enterprise State Key Laboratory of Materials Processing and Die & Mould Technology Huazhong University of Science & Technology Wuhan 430074 China

The research on the simulation for the through process of low-pressure casting and heat treatment is conducive to combine information technology and advanced casting technology, which will help to predict the defects and mechanical properties of the castings in the through process. In this paper, we focus on the simulation for through process of low-pressure casting and heat treatment of ZL114A Bending beam. Firstly, we analyzethe distribution of the shrinkage and porosities in filling and solidification process, and simulate the distribution of stress and strain in the late solidification of casting. Then, the numerical simulation of heat treatment process for ZL114A Bending beam is realized according to the heat treatment parameters and the corresponding simulation results of temperature field, stress, strain, and aging performance are given. Finally, we verify that simulation platform for the through process of low-pressure casting and heat treatment can serve the production practice perfectly and provide technical guidance and process optimization for the through process of low-pressure casting and heat treatment.

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Normal Bisimulation for Higher Order Pi-Calculus with Unguarded Choice

Normal Bisimulation for Higher Order Pi-Calculus with Unguar...

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Theoretical Aspects of Software Engineering (TASE)

作者： Zining Cao Department of Computer Science and Technology Nanjing University of Aeronautics & Astronautics Nanjing China State Key Laboratory for Civil Aircraft Flight Simulation Shanghai Aircraft Design and Research Institute Shanghai China

In this paper, we present a normal bisimulation for higher order pi-calculus with unguarded choice and prove the coincidence between such normal bisimulation and context bisimulation for higher order π-calculus with unguarded choice. To achieve this aim, we introduce indexed higher order π-calculus with unguarded choice. Furthermore we present corresponding indexed bisimulations in this calculus, and prove the equivalence between indexed context bisimulation and indexed normal bisimulation. As an application of this result, we prove the equivalence between context bisimulation and normal bisimulation for higher order π-calculus with unguarded choice.

关键词： Context Calculus Semantics Indexes Syntactics Gold Aircraft

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Preface

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COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 2015年第5期34卷

作者： Oszkár Bíró David A. Lowther Piergiorgio Alotto Institute for Fundamentals and Theory in Electrical Engineering Graz University of Technology Graz Austria and Christian Doppler Laboratory for Multiphysical Simulation Analysis and Design of Electrical Machines Graz University of Technology Graz Austria Department of Electrical and Computer Engineering， McGill University，Montreal， Canada Dipartimento di Ingegneria Industriale Università di Padova Padova Italy

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Heat transfer and stress evolution behaviours of an aluminium alloy low pressure shell casting

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IOP Conference Series: Materials Science and Engineering 2015年第1期84卷

作者： D Q Zhang J X Zhou T Chen J. X. Zhou Male Professor Ph.D. His research interests mainly focus on the computer applications in foundry especially on casting process simulation and informatization for foundry enterprise State Key Laboratory of Material Processing and Die & Mould Technology Huazhong University of Science and Technology Wuhan 430074 Hubei China

Considering the solidification, demoulding and heat treatment processes in low pressure casting, relatively complete processes of an aluminium alloy shell casting are simulated to investigate the heat transfer feature and stress behaviours variation of casting in each multi-processes stage. FDM is used to discrete thermal conduction model when studying the heat transfer process, while FEM is adopted to solve the elastic-plastic model when studying the stress behaviour variation. When matching the two models, we map the finite difference mesh to finite element mesh. Three different temperature conditions, namely 300 °C, 400 °C and 500 °C, are simulated when we research the influence of demoulding temperature on stress behaviour. The simulation results demonstrate that the higher demoulding temperature is, the greater casting deformation and the smaller stress value are. The final casting stress status and the initial heat treatment temperature have a different relationship as for different parts of casting.

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

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BMC Neurosci 2017年第SUPPL 1期18卷 58-58页

作者： Sue Denham Panayiota Poirazi Erik De Schutter Karl Friston Ho Ka Chan Thomas Nowotny Dongqi Han Sungho Hong Sophie Rosay Tanja Wernle Alessandro Treves Sarah Goethals Romain Brette Tomas Van Pottelbergh Rodolphe Sepulchre Alex D. Bird Hermann Cuntz Pedro J. Gonçalves Jan-Matthis Lueckmann Giacomo Bassetto Marcel Nonnenmacher Jakob H. Macke Audrey J. Sederberg Jason N. MacLean Stephanie E. Palmer Ulisse Ferrari Christophe Gardella Olivier Marre Thierry Mora Emina Ibrahimovic Martin Müller Jean-Pascal Pfister Tushar Chauhan Timothée Masquelier Alexandre Montlibert Benoit R. Cottereau Moritz Helias Jannis Schuecker David Dahmen Sven Goedeke Alexandre Hyafil Ainhoa Hermoso-Mendizabal Pavel E. Rueda-Orozco Santiago Jaramillo David Robbe Jaime de la Rocha Marie Rooy Fani Koukouli David DiGregorio Uwe Maskos Boris Gutkin Andrey Yu Verisokin Darya V. Verveyko Dmitry E. Postnov Willy Wong Omid Talakoub Robert Chen Milos Popovic Dmitriy Lisitsyn Eric Drebitz Iris Grothe Sunita Mandon Andreas Kreiter Udo Ernst Peter A. Robinson Xuelong Zhao Kevin M. Aquino John D. Griffiths Grishma Mehta-Pandejee Natasha Gabay James MacLaurin Somwrita Sarkar Tim Kunze Jens Haueisen Thomas R. Knösche Subutai Ahmad Yuwei Cui Marcus Lewis Jeff Hawkins Simona Olmi Spase Petkoski Fabrice Bartolomei Maxime Guye Viktor Jirsa Hazem Toutounji Daniel Durstewitz Matteo Cantarelli Adrian Quintana Boris Marin Matt Earnshaw Padraig Gleeson Robert Court Robert McDougal R. Angus Silver Salvador Dura-Bernal Stephen Larson William W. Lytton Giovanni Idili Lorenzo Posani Simona Cocco Karel Ježek Rémi Monasson School of Psychology Faculty of Health & Human Sciences Plymouth University Plymouth Devon PL4 8AA UK Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Heraklion Crete Greece Okinawa Institute of Science and Technology Graduate University Okinawa Japan Wellcome Trust Centre for Neuroimaging Institute of Neurology UCL London WC1N 3BG UK School of Engineering and Informatics University of Sussex Brighton BN1 9QJ UK Graduate School Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Computational Neuroscience Unit Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Cognitive Neuroscience Area Scuola Internazionale Superiore di Studi Avanzati Trieste 34136 Italy Kavli Institute for Systems Neuroscience NTNU Trondheim 7030 Norway Institut de la Vision Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Paris 75012 France Department of Engineering University of Cambridge Cambridge Cambridgeshire CB2 1PZ UK Ernst Strüngmann Institute for Neuroscience Max Planck Society Frankfurt Germany Frankfurt Institute for Advanced Studies Frankfurt Germany Neural Systems Analysis Research Center Caesar An Associate of the Max Planck Society Bonn Germany Max Planck Institute for Biological Cybernetics Tübingen Germany Bernstein Center for Computational Neuroscience Tübingen Germany Present Address: Biomedical Engineering Department Georgia Institute of Technology Atlanta GA 30306 USA Department of Neurobiology University of Chicago Chicago IL 60637 USA Department of Organismal Biology and Anatomy University of Chicago Chicago IL 60637 USA Committee on Computational Neuroscience University of Chicago Chicago IL 60637 USA Institut de la Vision Sorbonne Universités INSERM Paris France Laboratoire de Physique Statistique Ecole Normale Supérieure Paris France Institute of Molecular Life Sciences University of Zürich 8057 Zürich Switzerland Institute of Neuroinformatics Univer

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Research and implementation of distributed disaster recovery system based on PRS algorithm

International Journal of Database Theory and Application

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International Journal of Database Theory and Application 2014年第3期7卷 91-106页

作者： Wan, Jian Xuan, Huijia Zhang, Jilin School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex System Modeling and Simulation Ministry of Education Hangzhou China Electric Engineering School Zhejiang University Hangzhou China

With the advent of the information age, the data volumes of various industries are in explosive growth, which increasingly highlights the importance of data. When a disaster occurs, how to recover the data completely and rapidly is one of the important issues receiving common concerns throughout the current industrial and academic circles. Based on the traditional disaster recovery system, this paper researches and implements a PRS algorithm-based distributed disaster recovery system[1, 2] called OsnDDR, which ensures the high availability of the system under the circumstance of continuous disasters or multi-node damage. The system adopts PRS algorithm based on RS erasure code [3] to reduce the storage resource consumption caused by the data redundancy and designs the load balancing strategy to guarantee the load balancing of each disaster recovery center in the system. © 2014 SERSC.

关键词： Disasters

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Improved optimization for data disaster recovery system over low-bandwidth networks

International Journal of Database Theory and Application

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International Journal of Database Theory and Application 2014年第5期7卷 1-16页

作者： Wan, Jian Hong, Xiaolong Zhang, Jinlin School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex System Modeling and Simulation Ministry of Education Hangzhou China Electric Engineering School Zhejiang University Hangzhou China

Data generated by various fields are increasing exponentially and thus results in challenges for data performances in both scales of diversity and complexity. The problem how to solve the bottlenecks of low-bandwidth networks has been of fatal significance for all kinds of network status. We present a new approach on improved optimization for data disaster recovery system (DDRS) over low-bandwidth networks that not only aims to improve the defects and deficiencies of mainstream DDRS but also helps ensure the reliable network resources for operators to conduct multi-services. A novel bandwidth self-adaptive approach (BSAA) for data packing replication was essentially established to make contribution to the integral performance improvement. A Hidden Markov Model (HMM) for predicting network status was also built to ensure system availability and stability. Experiments showed that the DDRS over low-bandwidth networks named InfoDr can effectively optimize the workload with better performance and better application self-adaptability for multi-services.

关键词： Hidden Markov models

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How file access patterns influence interference among cluster applications

How file access patterns influence interference among cluste...

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IEEE International Conference on Cluster Computing

作者： Chih-Song Kuo Aamer Shah Akihiro Nomura Satoshi Matsuoka Felix Wolf Department of Computer Science RWTH Aachen University Aachen Germany German Research School for Simulation Sciences Laboratory for Parallel Programming Aachen Germany Tokyo Institute of Technology Global Scientific Information and Computing Center Tokyo Japan

On large-scale clusters, tens to hundreds of applications can simultaneously access a parallel file system, leading to contention and in its wake to degraded application performance. However, the degree of interference depends on the specific file access pattern. On the basis of synchronized time-slice profiles, we compare the interference potential of different file access patterns. We consider both micro-benchmarks, to study the effects of certain patterns in isolation, and realistic applications to gauge the severity of such interference under production conditions. In particular, we found that writing large files simultaneously with small files can slow down the latter at small chunk sizes but the former at larger chunk sizes. We further show that such effects can seriously affect the runtime of real applications-up to a factor of five in one instance. In the future, both our insights and profiling techniques can be used to automatically classify the interference potential between applications and to adjust scheduling decisions accordingly.

关键词： Interference Servers Throughput Benchmark testing Market research Degradation Aggregates

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