on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS

学术会议排名一、A类序号会议名称论文集的出版社1. Special Interest Group on Data Communication(SIGCOMM) ACM录取率：9~13%2. Special Interest Group on Mobility of Sys-tems, Users, Data and Computing (MOBICOM) ACM录取率：~10%3. International Symposium on Mobile Ad Hoc Networking and Computing (MOBIHOC) ACM/IEEE录取率：<13%4. Special Interest Group on Measurement and Evaluation (SIGMETRICS) ACM录取率：<13%二、B类序号会议名称论文集的出版社1. International Conference on Network Protocols (ICNP) IEEE录取率：14~18%2. Conference on Computer Communications (INFOCOM) IEEE录取率：18~20%3. International World Wide Web (WWW)录取率：~15%4. International Conference on Embedded Networked SensorSystems (SenSys) ACM录取率：~15%5. USENIX Annual Technical Conference USENIX '09 January 9, 2009 full papers: <14 pages, short papers: <6 pages 录取率：12~16%6. Network and Distributed System Security Symposium (NDSS ) USENIX录取率：12~20%7. International Conference on Distributed Computing Systems (ICDCS) IEEE录取率：13~17%8. International Conference on Pervasive Computing and Communications (PerCom) IEEE '10 Paper submission: September 28, 2009录取率：9~17%三、C类序号会议名称论文集的出版社1. International Workshop on Quality of Service (IWQoS) IEEE录取率：~20%2. IEEE/ACM International Workshop on Grid Computing(Grid) IEEE/ACM录取率：~20%3. Symposium on Network System Design and Implementation (NDSI) USENIX录取率：~22%4. International Conferences on Networking (Networking) IFIP录取率：19~24%5. Conference on High Performance Computing, Networking and Storage (Supercomputing) IEEE/ACM录取率：22~29%6. International Conference on Information Processing in Sensor Networks (IPSN) ACM/IEEE录取率：15~18%四、其他会议序号会议名称论文集的出版社1. IFIP/IEEE International Symposium on Integrated Network Management(IM) IFIP/IEEE录取率：23~50%2. International Parallel & Distributed Processing Symposium (IPDPS) IEEE录取率：23~38%3. International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM) ACM 录取率：23~38%4. IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks(SECON) IEEE 录取率：18~27%5. Network Operations and Management Symposium(MONS) IFIP/IEEE录取率：~26%6. Conference on Local Computer Networks (LCN) IEEE录取率：26~40%7. Formal Techniques for Networked and Distributed Systems FORTE录取率：30~70%8. IEEE Global Communications Conference, incorporating the Global Internet Symposium (Globecom) IEEE录取率：~35%9. International Conference on Communications (ICC) IEEE录取率：~35%10. SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC) IEEE录取率：~40%11. IEEE Semiannual Vehicular Technology Conference (VTC) IEEE。

英文原文Simulink DemosSimulink is a tool for modeling, analyzing, and simulating physical and mathematical systems, including those with nonlinear elements and those that make use of continuous and discrete time.As an extension of MATLAB, Simulink adds many features specific to dynamic systems while retaining all of general purpose functionality of MATLAB.Run demos for other Simulink products you have installed. Try these demos to see which Simulink products might be appropriate for the work you do. Note that this is a comprehensive list of Simulink products. Your particular installation of MathWorksIn the Contents pane, for each Simulink product, see documentation Examples to viewmore sample code you can run or copy.Three-phase Three-level PWM Converter (discrete)This demonstration illustrates simulation of a 3-phase, 3-level inverterand Discrete 3-phase PWM Generator. It also demonstrates harmonic analysis of PWM waveformsusing the Powergui/FFT tool.Circuit Description The system consists of two three-phase three-level PWM voltage source convertersconnected in twin configuration。

学术会议排名一、A类序号会议名称论文集的出版社1. Special Interest Group on Data Communication(SIGCOMM) ACM录取率：9~13%2. Special Interest Group on Mobility of Sys-tems, Users, Data and Computing (MOBICOM) ACM录取率：~10%3. International Symposium on Mobile Ad Hoc Networking and Computing (MOBIHOC) ACM/IEEE录取率：&lt;13%4. Special Interest Group on Measurement and Evaluation (SIGMETRICS) ACM录取率：&lt;13%二、B类序号会议名称论文集的出版社1. International Conference on Network Protocols (ICNP) IEEE录取率：14~18%2. Conference on Computer Communications (INFOCOM) IEEE录取率：18~20%3. International World Wide Web (WWW)录取率：~15%4. International Conference on Embedded Networked Sensor Systems (SenSys) ACM录取率：~15%5. USENIX Annual Technical Conference USENIX &#39;09 January 9, 2009 full papers: &lt;14 pages, short papers: &lt;6 pages录取率：12~16%6. Network and Distributed System Security Symposium (NDSS ) USENIX录取率：12~20%7. International Conference on Distributed Computing Systems (ICDCS) IEEE录取率：13~17%8. International Conference on Pervasive Computing and Communications (PerCom) IEEE &#39;10 Paper submission: September 28, 2009录取率：9~17%三、C类序号会议名称论文集的出版社1. International Workshop on Quality of Service (IWQoS) IEEE录取率：~20%2. IEEE/ACM International Workshop on Grid Computing(Grid) IEEE/ACM录取率：~20%3. Symposium on Network System Design and Implementation (NDSI) USENIX录取率：~22%4. International Conferences on Networking (Networking) IFIP录取率：19~24%5. Conference on High Performance Computing, Networking and Storage (Supercomputing) IEEE/ACM录取率：22~29%6. International Conference on Information Processing in Sensor Networks (IPSN) ACM/IEEE录取率：15~18%四、其他会议序号会议名称论文集的出版社1. IFIP/IEEE International Symposium on Integrated Network Management(IM) IFIP/IEEE录取率：23~50%2. International Parallel &amp; Distributed Processing Symposium (IPDPS) IEEE 录取率：23~38%3. International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM) ACM录取率：23~38%4. IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks(SECON) IEEE录取率：18~27%5. Network Operations and Management Symposium(MONS) IFIP/IEEE录取率：~26%6. Conference on Local Computer Networks (LCN) IEEE录取率：26~40%7. Formal Techniques for Networked and Distributed Systems FORTE录取率：30~70%8. IEEE Global Communications Conference, incorporating the Global Internet Symposium (Globecom) IEEE录取率：~35%9. International Conference on Communications (ICC) IEEE录取率：~35%10. SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC) IEEE录取率：~40%11. IEEE Semiannual Vehicular Technology Conference (VTC) IEEE。

Curriculum Vitae of Paolo RomanoPersonal Information•Place and Date of Birth:Rome(Italy),4March1979•Citizenship:Italian•Office Address:Dipartimento di Informatica e Sistemistica“Antonio Ruberti”(D.I.S.),Via Ariosto25,00185Rome,Italy•E-mail:paolo.romano@dis.uniroma1.it•Home Page:http://www.dis.uniroma1.it/˜romanop•Telephone:(+39)340-3740784(Mobile)(+39)06-77274112(Office)•Fax:(+39)06-77274002EducationPhD in Computer Engineering at the Department of Computer and Sy-stems Engineering,“Sapienza”Rome University(February2007)Title:“Protocols for End-to-End Reliability in Multi-Tier Systems”Advisor:Prof.F.Quaglia“Sapienza”,Rome University.External Referees:Prof. D.K.Pradhan(University of Bristol,UK) and Prof.M.Singhal(Ohio State University,USA).Master Degree in Computer Engineering at the University of Rome“Tor Vergata”(October2002),Title:Fault Tolerant Web-Sever Systems.Advisors:Prof.S.Tucci and Prof.B.CicianiFinal Rank:100/100summa cum laude.Certificate of Advance English from Cambridge University,June1997. Current PositionPost-doc and research contractor at the Department of Computer and Sy-stems Engineering,“Sapienza”Rome University.Research Topics•Dependable Distributed Systems:–Fault-tolerance in multi-tier systems–Fault-tolerant platforms for RFID data acquisition services–Multi-Path protocols for large scale transactional systems–Formal verification of distributed protocols•Performance Modelling and Evaluation:–QoS in content delivery networks–Modelling of DBMS concurrency control schemes–Approximate solution methods for complex queuing systems–Modelling of standard security mechanisms via Petri-nets •Autonomic Databases:–Automatic workload and data access pattern characterization–Adaptive concurrency control and data replication schemes Scientific PublicationsInternation JournalsIJ1F.Quaglia and P.Romano,Ensuring e-Transaction with Asynchronous and Uncoordinated Appli-cation Server Replicas,IEEE Transactions on Parallel and Distributed Systems,vol.18,no.3,2007.IJ2P.Romano,F.Quaglia and B.Ciciani,A Lightweight and Scalable e-Transaction Protocol for Three-Tier Sy-stems with Centralized Back-End Database,IEEE Transactions on Knowledge and Data Engineering,vol.17,no.11,pp.1578-1583,2005.International Conferences2007:IC1B.Ciciani,A.Santoro and P.Romano,Approximate Analytical Models for Networked Servers Subject to MMPP Arrival Processes,Proc.6th IEEE International Symposium on Network Computingand Applications(NCA’07),IEEE Computer Society Press,July2007(Best Paper Award).IC2D.Cucuzzo,S.D’Alessio,F.Quaglia and P.Romano,A Lightweight Heuristic-based Mechanism for Collecting CommittedConsistent Global States in Optimistic Simulation,Proc.11th IEEE/ACM International Symposium on Distributed Si-mulation and Real Time Applications(DS-RT’07),IEEE ComputerSociety Press,October2007,to appear.2006:IC3P.Romano and F.Quaglia,Providing e-Transaction Guarantees in Asynchronous Systems withInaccurate Failure Detection,Proc.5th IEEE International Symposium on Network Computing andApplications(NCA’06),IEEE Computer Society Press,July2006.IC4P.Romano,F.Quaglia and B.Ciciani,Design and Evaluation of a Parallel Edge Server Invocation Protocolfor Transactional Applications over the Web,Proc.6th IEEE Symposium on Applications and the Internet(SAINT’06), IEEE Computer Society Press,January2006.IC5P.Romano,F.Quaglia and B.Ciciani,A Simulation Study of the Effects of Multi-path Approaches in e-Commerce Applications,Proc.11th IEEE Workshop on Dependable Parallel,Distributed andNetwork-Centric Systems(DPDNS’06),IEEE Computer Society Press,2006.2005:IC6F.Quaglia and P.Romano,Reliability in Three-Tier Systems without Application Server Coordi-nation and Persistent Message Queues,Proc.20th Annual ACM-SIGAPP Symposium on Applied Computing(SAC’05),ACM Press,2005.IC7P.Romano,F.Quaglia and B.Ciciani,Design and Analysis of an e-Transaction Protocol Tailored for OCC,Proc.5th IEEE Symposium on Applications and the Internet(SAINT’05), IEEE Computer Society Press,2005.IC8P.Romano and F.Quaglia,A Path-Diversity Protocol for the Invocation of Distributed Transac-tions over the Web,Proc.IEEE International Conference on Networking and Services (ICNS’05),IEEE Computer Society Press,2005.2004:IC9P.Romano,F.Quaglia and B.Ciciani,A Protocol for Improved User Perceived QoS in Web TransactionalApplications,Proc.3rd IEEE International Symposium on Network Computing and Applications(NCA’04),IEEE Computer Society Press,Augu-st/September2004.IC10P.Romano,F.Quaglia and B.Ciciani,Ensuring e-Transaction Through a Lightweight Protocol for Centrali-zed Back-end Database,Proc.2nd International Symposium on Parallel and Distributed Pro-cessing and Applications(ISPA’04),LNCS,Springer-Verlang,2004.2003:IC11B.Ciciani,F.Quaglia,P.Romano and D.Dias,Analysis of Design Alternatives for Reverse Proxy Cache Providers,Proc.11th IEEE International Symposium on Modeling,Analysis and Simulation of Computer and Telecommunication Systems(MASCO-TS’03),IEEE Computer Society Press,October2003.IC12P.Romano,M.Romero,B.Ciciani and F.Quaglia,Validation of the Sessionless Mode of the HTTPR Protocol,Proc.23rd IFIP International Conference on Formal Techniques for Networked and Distributed Systems(FORTE’03),LNCS,Springer-Verlang,September-October2003.Submitted ArticlesSIJ1P.Romano and F.Quaglia,Providing e-Transaction Guarantees in Asynchronous Systems with no Assumptions on the Accuracy of Failure Detection,Currently Under ReviewParticipation in Technical Committees of Interna-tional ConferencesPaolo Romano was a member of the technical committees of the following international conferences in the distributed computing area:1.4th IEEE International Conference on Autonomic and AutonomousSystems(ICAS)2008.2.4rd IEEE International Conference on Networking and Services(ICNS)2008.3.6th IEEE International Symposium on Network Computing and Ap-plications(NCA)2007.4.3rd IEEE International Conference on Autonomic and AutonomousSystems(ICAS)2007.5.3rd IEEE International Conference on Networking and Services(ICNS)2007.6.12th IEEE Workshop on Dependable Parallel,Distributed and Network-Centric Systems(DPDNS)2007.7.5th IEEE International Symposium on Network Computing and Ap-plications(NCA)2006.8.2nd IEEE International Conference on Networking and Services(ICNS)2006.9.2nd IEEE International Conference on Autonomic and AutonomousSystems(ICAS)2006.Academic Teaching Activity2006/2007:i)Teaching assistant for the course of“Computers I”,Degree in Com-puters and Networks Engineering,“Sapienza Rome University.ii)Invited lecturer for the course of“Advanced Computer Architectures“, Degree in Computer Engineering,”Sapienza Rome University.iii)Professor for the course of“Computer Architectures II”,Degree in Computer Engineering,“Sapienza Rome University.2005/2006:i)Teaching assistant for the course of“Computer Architectures I”,De-gree in Computers and Networks Engineering,“Sapienza Rome Uni-versity.ii)Teaching assistant for the course of“Computer Architectures II”, Degree in Computers and Networks Engineering,“Sapienza RomeUniversity.iii)Invited lecturer for the course of“Advanced Computer Architectures”, Degree in Computer Engineering,“Sapienza Rome University.2002/2003,2003/2004,2004/2005:i)Teaching assistant for the course of“Computer Architectures I”,De-gree in Computers and Networks Engineering,“Sapienza”Rome Uni-versity.ii)Teaching assistant for the course of“Computer Architectures II”, Degree in Computers and Networks Engineering,“Sapienza”RomeUniversity.Other Professional Activities2007:•Professor of the“Unix Shell Programming”courses for the trainingprograms of Covansys-Lucent and Sytel-Reply.2003-2006:•Research and teaching assistant at the Department of Computer andSystems Engineering,D.I.S.,“Sapienza”Rome University.2003:•Member of the technical committee for the standardization of theOASIS“WS-Reliable Messaging”•Consultant for the technical center of R.U.P.A.(Unified Network forItalian Public Administration)involved within the national e-Government project in the specification of the national standard(SOAP)envelopeto be used by the Italian public administration entities.•One year(2003-2004)research grant by the C.I.N.I.(Consorzio Inte-runiversitario Nazionale per l’Informatica)in the context of the FIRB Project“Middleware for advanced services distributed on large scale wired-wireless infrastructures.Public Domain SoftwarePDS1Paolo Romano“MicroOpGen:The PD32Micro-Operations Generator”http://www.dis.uniroma1.it/˜ciciani/microopgen(May2006)Free software for the visualization of the micro-operations associated to the PD32processor’s Assembly Instruction Set.Reference Software for the“Computer Architectures I”and”Computer Architectures II”courses,Degree in Computers and Networks Engineering,“Sapienza Rome University.PDS2Paolo Romano and Matteo Leonetti“DIS Simulator:The PD32simulator”http://www.dissimulator.softeaware.it(May2006)Free software for the simulation of the PD32processor.Reference Software for in the“Computer Architectures I”and”Computer Archi-tectures II”courses,Degree in Computers and Networks Engineering,“Sapienza Rome University.PDS3Paolo Romano,Milton Romero,Bruno Ciciani and Francesco Qua-glia“HTTPR Validation via the SPIN Model Checker”http://www.dis.uniroma1.it/˜quaglia/other/HTTPR(Oct2003)Promela code used for the validation of the HTTPR protocol through the SPIN Model Checker().Technical Skills•Programming Languages:Java(J2SE,J2EE),C++,C,PHP, Assembler,Promela(Spin Model Checker),Fortran•Web Service Technologies:XML,SOAP,UDDI,WSDL,WS-RX.•DBMS:expertise with a large number of commercial and open-source products(e.g.IBM DB2,Oracle,Solid SQL Server,AG Tamino XML Database,MySQL).Deep knowledge of PostgreSQL’s internals gainedwhile integrating novel concurrency control and demarcation schemes within its kernel.•Operating Systems:expertise as system administrator,shell and sy-stem programmer with both Linux and Windows Operating Systems.。

Modeling and Simulation 建模与仿真, 2020, 9(3), 357-366Published Online August 2020 in Hans. /journal/moshttps:///10.12677/mos.2020.93036Dynamic Matching Design and ModelSimulation of Pure Electric VehicleWentao Zhang, Li Ye, Zhijun Zhang, Huan Ye, Mengya ZhangSchool of Power Engineering, University of Shanghai for Science and Technology, ShanghaiReceived: Aug. 6th, 2020; accepted: Aug. 20th, 2020; published: Aug. 27th, 2020AbstractBased on the selection of basic vehicle parameters and the determination of performance indica-tors, this paper carries out the design matching of dynamic performance parameters of pure elec-tric vehicles. Then, a pure electric vehicle dynamic simulation model is established by vehicle si-mulation software, and the vehicle dynamic performance index is simulated and analyzed by in-putting relevant parameters. Finally, the rationality of simulation model and parameter matching is verified by real car test. This study can provide theoretical basis for the matching design of var-ious systems in the initial stage of pure electric vehicles, carry out range and performance test evaluation of vehicle performance, and provide reference for the analysis of dynamic performance and economic index of pure electric vehicles.KeywordsPure Electric Vehicle, Parameter Design Matching, Vehicle Power Model, Simulation Analysis纯电动汽车动力性匹配设计与模型仿真张文韬，叶立，张志军，叶欢，张梦伢上海理工大学动力工程学院，上海收稿日期：2020年8月6日；录用日期：2020年8月20日；发布日期：2020年8月27日摘要本文基于对整车基本参数的选取与性能指标的确定，进行了纯电动汽车动力性能参数的设计匹配。

Geometric ModelingGeometric modeling is a fundamental concept in computer graphics and engineering design. It involves the creation of digital representations of objects and environments using mathematical and computational techniques. Geometric modeling is used in a wide range of applications, including animation, video games, virtual reality, and industrial design. It plays a crucial role in visualizing and simulating complex structures, helping engineers and designers to analyze and optimize their designs. One of the key perspectives on geometric modeling is its importance in the field of computer graphics. In computer graphics, geometric modeling is used to create 3D models of objects and scenes, which are then rendered to produce realistic images and animations. This process involves representing the shape and appearance of objects using geometric primitives suchas points, lines, and polygons. Geometric modeling techniques such as surface and solid modeling are used to create detailed and realistic 3D models, which are then manipulated and transformed to create visually stunning graphics. Another important perspective on geometric modeling is its role in engineering design. In engineering, geometric modeling is used to create digital representations of mechanical parts, structures, and systems. These models are used for visualization, analysis, and simulation, allowing engineers to evaluate the performance and behavior of their designs. Geometric modeling techniques such as parametric modeling and finite element analysis are used to create and analyze complex engineering models, helping engineers to optimize their designs and identify potential problems before they occur. Geometric modeling also plays a crucialrole in virtual reality and simulation. In virtual reality, geometric modeling is used to create immersive and interactive 3D environments, allowing users toexplore and interact with digital worlds. Geometric modeling techniques such as 3D scanning and mesh generation are used to create realistic virtual environments, which can be used for training, education, and entertainment. Similarly, in simulation, geometric modeling is used to create accurate models of physical systems, allowing engineers and scientists to study and predict the behavior of complex phenomena. From an emotional perspective, geometric modeling can be both challenging and rewarding. Creating detailed and realistic 3D models requires acombination of technical skill, creativity, and attention to detail. It can be a time-consuming and labor-intensive process, requiring patience and perseverance to achieve the desired results. However, the ability to bring virtual worlds and complex designs to life can be incredibly satisfying, and the impact of geometric modeling in various fields can be truly inspiring. In conclusion, geometric modeling is a versatile and essential concept in computer graphics, engineering design, virtual reality, and simulation. It enables the creation of digital representations of objects and environments, allowing for visualization, analysis, and simulation of complex structures. From creating stunning visual effects to optimizing engineering designs, geometric modeling plays a crucial role in a wide range of applications. Its significance is not only technical but also emotional, as it requires a combination of skill and creativity to achieve impactful results.。

分类号密级U D C 编号大学专业学位论文电子元件温度循环试验与分析研究生姓名：学号：指导教师姓名、职称：工程领域名称：二O一八年十月Discuss briefly about The temperature cycling test of electronic componentsByXX郑重声明本人的学位论文是在导师指导下独立撰写并完成的，学位论文没有剽窃、抄袭、造假等违反学术道德、学术规范和侵权行为，否则，本人愿意承担由此而产生的法律责任和法律后果，特此郑重声明。

学位论文作者（签名）：年月日摘要时代在不断地在发展，而科学也在飞速的进步。

在当前的时代对电子设备的要求可谓是非常之高了。

然而，一些的电子设备构造越来越驳杂，特别是在运行的过程中，出现的种种问题还是很多的。

而一些空军对电子设备的硬件检测指出：飞机在使的过程中，有50%以上的问题是与当时工作的高低温有关。

在这种环境下工作有最容易出现的问题有2种，如：当一些电路板和连接的零件的焊点会在过度的疲劳使用导致断裂失去作用这就是（焊点疲劳类失效模式），还有有一种就是重要零件突发功能障碍导致的，这就是（元器件类失效模式）。

当然在这2种问题中只要出现了其中的一个问题就会导致故障，所以，电子设备在这种问题下有必要做实践与理论相结合的。

也对当前社会对电子设备需求有了重大的意义。

当然，这篇写的就是能让元件在一定温度的工作环境中进行检测和探究。

这2种问题可以在这种的研究下可以有一定的效果，而通过这种研究可以对元件有效的检测，而检测出的结果对元件在进行温度循环的实验中和方案中有一定的优化效果。

论文在这一方面的探索和分析中有这几点：一、对一些设备在温度不断增加的情况下得出结论的解析情况，和在竞争无效去又分别独立的的情况下环境的温度在不断的增加研究中有很大的相同解析方法。

二、对这种研究的的情况给出一些更好的解决的方法，有这两种，一种是探析研究计划的方案主要就是给研究这反面提供出更好的方法，还有一种是模拟温度循环加速的研究中的优化。

simulation modelling practice and theory sci全文共四篇示例，供读者参考第一篇示例：仿真建模实践与理论科学是一门旨在研究仿真技术在不同领域中的应用和发展的学科。

它涵盖了模型建立、仿真实验、数据分析等方面的内容，是一门跨学科的综合性学科。

仿真建模实践与理论科学的发展源远流长，它的发展史可以追溯到数学、物理学等领域的建模实践。

在当今信息化、数字化的时代，仿真建模已经成为了许多领域的重要工具，为我们认识和解决现实世界中的问题提供了新的途径。

在仿真建模实践与理论科学领域中，科学家们通过数学和计算机技术建立模型，通过对模型的仿真实验来观察和分析系统行为，并从中获取有关系统的信息。

这些信息可以帮助我们更好地理解系统的运行机理，指导我们做出相应的决策，提高系统的效率和性能。

在不同领域中，仿真建模都发挥着重要的作用，比如在工程领域中，仿真建模可以帮助工程师们设计和优化产品，提高产品的质量和性能；在医学领域中，仿真建模可以帮助医生们理解疾病的发生和发展机理，指导他们制定治疗方案等。

除了在实践中发挥着重要作用外，仿真建模实践与理论科学也在理论上不断地得到拓展和深化。

科学家们运用数学模型和计算机技术，探索系统的动力学行为、性质、规律等方面的规律，推动了系统科学和计算科学的发展。

仿真建模的理论也逐渐由简单的数学模型扩展到了包括多尺度、多模态、多组分等多种因素的复杂系统建模，使仿真建模更加贴近实际问题，更具有针对性和预见性。

在仿真建模实践与理论科学的研究中，还存在着一些困难和挑战。

复杂系统的建模和仿真需要大量的计算资源和数据支持，这对仿真建模的算法和技术提出了更高的要求；仿真建模需要在实际系统的基础上建立模型，并进行验证和验证，这对科学家们的理论功底和经验积累提出了更高的要求；不同领域之间的交叉和融合也需要科学家们具备跨学科的知识和思维能力，这为仿真建模的发展带来了更多的机遇和挑战。

INTRODUCTION TO MODELING AND SIMULATIONAnu MariaState University of New York at Binghamton Department of Systems Science and Industrial Engineering Binghamton, NY 13902-6000, U.S.A.ABSTRACTThis introductory tutorial is an overview of simulation modeling and analysis. Many critical questions are answered in the paper. What is modeling? What is simulation? What is simulation modeling and analysis? What types of problems are suitable for simulation? How to select simulation software? What are the benefits and pitfalls in modeling and simulation? The intended audience is those unfamiliar with the area of discrete event simulation as well as beginners looking for an overview of the area. This includes anyone who is involved in system design and modification - system analysts, management personnel, engineers, military planners, economists, banking analysts, and computer scientists. Familiarity with probability and statistics is assumed.1WHAT IS MODELING?Modeling is the process of producing a model; a model is a representation of the construction and working of some system of interest. A model is similar to but simpler than the system it represents. One purpose of a model is to enable the analyst to predict the effect of changes to the system. On the one hand, a model should be a close approximation to the real system and incorporate most of its salient features. On the other hand, it should not be so complex that it is impossible to understand and experiment with it. A good model is a judicious tradeoff between realism and simplicity. Simulation practitioners recommend increasing the complexity of a model iteratively. An important issue in modeling is model validity. Model validation techniques include simulating the model under known input conditions and comparing model output with system output.Generally, a model intended for a simulation study is a mathematical model developed with the help of simulation software. Mathematical model classifications include deterministic (input and output variables are fixed values) or stochastic (at least one of the input or output variables is probabilistic); static (time is not taken into account) or dynamic (time-varying interactions among variables are taken into account). Typically, simulation models are stochastic and dynamic.2WHAT IS SIMULATION?A simulation of a system is the operation of a model of the system. The model can be reconfigured and experimented with; usually, this is impossible, too expensive or impractical to do in the system it represents. The operation of the model can be studied, and hence, properties concerning the behavior of the actual system or its subsystem can be inferred. In its broadest sense, simulation is a tool to evaluate the performance of a system, existing or proposed, under different configurations of interest and over long periods of real time.Simulation is used before an existing system is altered or a new system built, to reduce the chances of failure to meet specifications, to eliminate unforeseen bottlenecks, to prevent under or over-utilization of resources, and to optimize system performance. For instance, simulation can be used to answer questions like: What is the best design for a new telecommunications network? What are the associated resource requirements? How will a telecommunication network perform when the traffic load increases by 50%? How will a new routing algorithm affect its performance? Which network protocol optimizes network performance? What will be the impact of a link failure?The subject of this tutorial is discrete event simulation in which the central assumption is that the system changes instantaneously in response to certain discrete events. For instance, in an M/M/1 queue - a single server queuing process in which time between arrivals and service time are exponential - an arrival causes the system to change instantaneously. On the other hand, continuous simulators, like flight simulators and weather simulators, attempt to quantify the changes in a system continuously over time in response toProceedings of the 1997 Winter Simulation Conferenceed. S. Andradóttir, K. J. Healy, D. H. Withers, and B. L. Nelson7controls. Discrete event simulation is less detailed (coarser in its smallest time unit) than continuous simulation but it is much simpler to implement, and hence, is used in a wide variety of situations.Figure 1 is a schematic of a simulation study. The iterative nature of the process is indicated by the system under study becoming the altered system which then becomes the system under study and the cycle repeats. In a simulation study, human decision making is required at all stages, namely, model development, experiment design, output analysis, conclusion formulation, and making decisions to alter the system under study. The only stage where human intervention is not required is the running of the simulations, which most simulation software packages perform efficiently. The important point is that powerful simulation software is merely a hygiene factor - its absence can hurt a simulation study but its presence will not ensure success. Experienced problem formulators and simulation modelers and analysts are indispensable for a successful simulation study.Figure 1: Simulation Study Schematic The steps involved in developing a simulation model, designing a simulation experiment, and performing simulation analysis are:Step 1.Identify the problem.Step 2.Formulate the problem.Step 3.Collect and process real system data.Step 4.Formulate and develop a model.Step 5.Validate the model.Step 6.Document model for future use.Step 7.Select appropriate experimental design.Step 8.Establish experimental conditions for runs.Step 9.Perform simulation runs.Step 10.Interpret and present results.Step 11.Recommend further course of action. Although this is a logical ordering of steps in a simulation study, many iterations at various sub-stages may be required before the objectives of a simulation study are achieved. Not all the steps may be possible and/or required. On the other hand, additional steps may have to be performed. The next three sections describe these steps in detail.3HOW TO DEVELOP A SIMULATION MODEL?Simulation models consist of the following components: system entities, input variables, performance measures, and functional relationships. For instance in a simulation model of an M/M/1 queue, the server and the queue are system entities, arrival rate and service rate are input variables, mean wait time and maximum queue length are performance measures, and 'time in system = wait time + service time' is an example of a functional relationship. Almost all simulation software packages provide constructs to model each of the above components. Modeling is arguably the most important part of a simulation study. Indeed, a simulation study is as good as the simulation model. Simulation modeling comprises the following steps:Step 1.Identify the problem. Enumerate problems with an existing system. Produce requirements for a proposed system.Step 2.Formulate the problem. Select the bounds of the system, the problem or a part thereof, to be studied. Define overall objective of the study and a few specific issues to be addressed. Define performance measures - quantitative criteria on the basis of which different system configurations will be compared and ranked. Identify, briefly at this stage, the configurations of interest and formulate hypotheses about system performance. Decide the time frame of the study, i.e., will the model be used for a one-time decision (e.g., capital expenditure) or over a period of time on a regular basis (e.g., air traffic scheduling). Identify the end user of the simulation model, e.g., corporate management versus a production supervisor. Problems must be formulated as precisely as possible.Step 3.Collect and process real system data. Collect data on system specifications (e.g., bandwidth for a communication network), input variables, as well as8Mariaperformance of the existing system. Identify sources of randomness in the system, i.e., the stochastic input variables. Select an appropriate input probability distribution for each stochastic input variable and estimate corresponding parameter(s).Software packages for distribution fitting and selection include ExpertFit, BestFit, and add-ons in some standard statistical packages. These aids combine goodness-of-fit tests, e.g., χ2 test, Kolmogorov-Smirnov test, and Anderson-Darling test, and parameter estimation in a user friendly format.Standard distributions, e.g., exponential, Poisson, normal, hyperexponential, etc., are easy to model and simulate. Although most simulation software packages include many distributions as a standard feature, issues relating to random number generators and generating random variates from various distributions are pertinent and should be looked into. Empirical distributions are used when standard distributions are not appropriate or do not fit the available system data. Triangular, uniform or normal distribution is used as a first guess when no data are available. For a detailed treatment of probability distributions see Maria and Zhang (1997).Step 4.Formulate and develop a model. Develop schematics and network diagrams of the system (How do entities flow through the system?). Translate these conceptual models to simulation software acceptable form. Verify that the simulation model executes as intended. Verification techniques include traces, varying input parameters over their acceptable range and checking the output, substituting constants for random variables and manually checking results, and animation.Step 5.Validate the model. Compare the model's performance under known conditions with the performance of the real system. Perform statistical inference tests and get the model examined by system experts. Assess the confidence that the end user places on the model and address problems if any. For major simulation studies, experienced consultants advocate a structured presentation of the model by the simulation analyst(s) before an audience of management and system experts. This not only ensures that the model assumptions are correct, complete and consistent, but also enhances confidence in the model.Step 6.Document model for future use. Document objectives, assumptions and input variables in detail.4 HOW TO DESIGN A SIMULATION EXPERIMENT?A simulation experiment is a test or a series of tests in which meaningful changes are made to the input variables of a simulation model so that we may observe and identify the reasons for changes in the performance measures. The number of experiments in a simulation study is greater than or equal to the number of questions being asked about the model (e.g., Is there a significant difference between the mean delay in communication networks A and B?, Which network has the least delay: A, B, or C? How will a new routing algorithm affect the performance of network B?). Design of a simulation experiment involves answering the question: what data need to be obtained, in what form, and how much? The following steps illustrate the process of designing a simulation experiment.Step 7.Select appropriate experimental design. Select a performance measure, a few input variables that are likely to influence it, and the levels of each input variable. When the number of possible configurations (product of the number of input variables and the levels of each input variable) is large and the simulation model is complex, common second-order design classes including central composite, Box-Behnken, and full-factorial should be considered. Document the experimental design.Step 8.Establish experimental conditions for runs. Address the question of obtaining accurate information and the most information from each run. Determine if the system is stationary (performance measure does not change over time) or non-stationary (performance measure changes over time). Generally, in stationary systems, steady-state behavior of the response variable is of interest. Ascertain whether a terminating or a non-terminating simulation run is appropriate. Select the run length. Select appropriate starting conditions (e.g., empty and idle, five customers in queue at time 0). Select the length of the warm-up period, if required. Decide the number of independent runs - each run uses a different random number stream and the same starting conditions -by considering output data sample size. Sample size must be large enough (at least 3-5 runs for each configuration) to provide the required confidence in the performance measure estimates. Alternately, use common random numbers to compare alternative configurations by using a separate random number stream for each sampling process in a configuration. Identify output data most likely to be correlated.Step 9.Perform simulation runs. Perform runs according to steps 7-8 above.5 HOW TO PERFORM SIMULATION ANALYSIS?Introduction to Modeling and Simulation 9Most simulation packages provide run statistics (mean,standard deviation, minimum value, maximum value) on the performance measures, e.g., wait time (non-time persistent statistic), inventory on hand (time persistent statistic). Let the mean wait time in an M/M/1 queue observed from n runs be n 21W ...,,W ,W . It is important to understand that the mean wait time W is a random variable and the objective of output analysis is to estimate the true mean of W and to quantify its variability.Notwithstanding the facts that there are no data collection errors in simulation, the underlying model is fully known, and replications and configurations are user controlled, simulation results are difficult to interpret. An observation may be due to system characteristics or just a random occurrence. Normally, statistical inference can assess the significance of an observed phenomenon, but most statistical inference techniques assume independent, identically distributed (iid) data. Most types of simulation data are autocorrelated, and hence, do not satisfy this assumption. Analysis of simulation output data consists of the following steps.Step 10.Interpret and present results. Compute numerical estimates (e.g., mean, confidence intervals) of the desired performance measure for each configuration of interest. To obtain confidence intervals for the mean of autocorrelated data, the technique of batch means can be used. In batch means, original contiguous data set from a run is replaced with a smaller data set containing the means of contiguous batches of original observations.The assumption that batch means are independent may not always be true; increasing total sample size and increasing the batch length may help.Test hypotheses about system performance.Construct graphical displays (e.g., pie charts, histograms)of the output data. Document results and conclusions.Step 11.Recommend further course of action. This may include further experiments to increase the precision and reduce the bias of estimators, to perform sensitivity analyses, etc.6AN EXAMPLEA machine shop contains two drills, one straightener, and one finishing operator. Figure 2 shows a schematic of the machine shop. Two types of parts enter the machine shop.in sequence. Type 2 parts require only drilling and finishing. The frequency of arrival and the time to be routed to the drilling area are deterministic for both types of parts.Step 1.Identify the problem. The utilization of drills, straightener, and finishing operator needs to be assessed. In addition, the following modification to the original system is of interest: the frequency of arrival of both parts is exponential with the same respective means as in the original system.Step 2.Formulate the problem. The objective is to obtain the utilization of drills, straightener, and finishing operator for the original system and the modification . The assumptions include:♦The two drills are identical♦There is no material handling time between the threeoperations.♦Machine availability implies operator availability.♦Parts are processed on a FIFO basis.♦All times are in minutes.Step 3.Collect and process real system data. At the job shop, a Type 1 part arrives every 30 minutes, and a Type 2 part arrives every 20 minutes. It takes 2 minutes to route a Type 1 part and 10 minutes to route a Type 2 part to the drilling area. Parts wait in a queue till one of the two drilling machines becomes available. After drilling, Type 1parts are routed to the straightener and Type 2 parts are10Mariarouted to the finishing operator. After straightening, Type 1 parts are routed to the finishing operator.The operation times for either part were determined to be as follows. Drilling time is normally distributed with mean 10.0 and standard deviation 1.0. Straightening time is exponentially distributed with a mean of 15.0. Finishing requires 5 minutes per part.Step 4.Formulate and develop a model. A model of the system and the modification was developed using a simulation package. A trace verified that the parts flowed through the job shop as expected.Step 5.Validate the model. The utilization for a sufficiently long run of the original system was judged to be reasonable by the machine shop operators.Step 6.Document model for future use. The models of the original system and the modification were documented as thoroughly as possible.Step 7.Select appropriate experimental design. The original system and the modification described above were studied.Step 8.Establish experimental conditions for runs. Each model was run three times for 4000 minutes and statistical registers were cleared at time 1000, so the statistics below were collected on the time interval [1000, 4000]. At the beginning of a simulation run, there were no parts in the machine shop.Step 9.Perform simulation runs. Runs were performed as specified in Step 8 above.Step 10.Interpret and present results. Table 1 contains the utilization statistics of the three operations for the original system and the modification (in parentheses).Table 1: Utilization StatisticsDrilling Straightening Finishing Mean Run #1 0.83 (0.78) 0.51 (0.58) 0.42 (0.39) Mean Run #2 0.82 (0.90) 0.52 (0.49) 0.41 (0.45) Mean Run #3 0.84 (0.81) 0.42 (0.56) 0.42 (0.40) Std. Dev. Run #1 0.69 (0.75) 0.50 (0.49) 0.49 (0.49) Std. Dev. Run #2 0.68 (0.78) 0.50 (0.50) 0.49 (0.50) Std. Dev. Run #3 0.69 (0.76) 0.49 (0.50) 0.49 (0.49) Mean utilization represents the fraction of time a server is busy, i.e., busy time/total time. Furthermore, the average utilization output for drilling must be divided by the number of drills in order to get the utilization per drill. Each drill is busy about 40% of the time and straightening and finishing operations are busy about half the time. This implies that for the given work load, the system is underutilized. Consequently, the average utilization did not change substantially between the original system and the modification; the standard deviation of the drilling operation seems to have increased because of the increased randomness in the modification. The statistical significance of these observations can be determined by computing confidence intervals on the mean utilization of the original and modified systems.Step 11.Recommend further course of action. Other performance measures of interest may be: throughput of parts for the system, mean time in system for both types of parts, average and maximum queue lengths for each operation. Other modifications of interest may be: the flow of parts to the machine shop doubles, the finishing operation will be repeated for 10% of the products on a probabilistic basis.7 WHAT MAKES A PROBLEM SUITABLE FOR SIMULATION MODELING AND ANALYSIS?In general, whenever there is a need to model and analyze randomness in a system, simulation is the tool of choice. More specifically, situations in which simulation modeling and analysis is used include the following:♦ It is impossible or extremely expensive to observe certain processes in the real world, e.g., next year's cancer statistics, performance of the next space shuttle, and the effect of Internet advertising on a company's sales.♦ Problems in which mathematical model can be formulated but analytic solutions are either impossible (e.g., job shop scheduling problem, high-order difference equations) or too complicated (e.g., complex systems like the stock market, and large scale queuing models).♦ It is impossible or extremely expensive to validate the mathematical model describing the system, e.g., due to insufficient data.Applications of simulation abound in the areas of government, defense, computer and communication systems, manufacturing, transportation (air traffic control), health care, ecology and environment, sociological and behavioral studies, biosciences, epidemiology, services (bank teller scheduling), economics and business analysis.8 HOW TO SELECT SIMULATION SOFTWARE?Although a simulation model can be built using general purpose programming languages which are familiar to the analyst, available over a wide variety of platforms, and less expensive, most simulation studies today are implemented using a simulation package. TheIntroduction to Modeling and Simulation 11advantages are reduced programming requirements; natural framework for simulation modeling; conceptual guidance; automated gathering of statistics; graphic symbolism for communication; animation; and increasingly, flexibility to change the model. There are hundreds of simulation products on the market, many with price tags of $15,000 or more. Naturally, the question of how to select the best simulation software for an application arises. Metrics for evaluation include modeling flexibility, ease of use, modeling structure (hierarchical v/s flat; object-oriented v/s nested), code reusability, graphic user interface, animation, dynamic business graphics, hardware and software requirements, statistical capabilities, output reports and graphical plots, customer support, and documentation.The two types of simulation packages are simulation languages and application-oriented simulators (Table 2). Simulation languages offer more flexibility than the application-oriented simulators. On the other hand, languages require varying amounts of programming expertise. Application-oriented simulators are easier to learn and have modeling constructs closely related to the application. Most simulation packages incorporate animation which is excellent for communication and can be used to debug the simulation program; a "correct looking" animation, however, is not a guarantee of a valid model. More importantly, animation is not a substitute for output analysis.Table 2: Simulation PackagesType OfSimulationPackageExamplesSimulation languages Arena (previously SIMAN), AweSim! (previously SLAM II), Extend, GPSS, Micro Saint,SIMSCRIPT, SLXObject-oriented software: MODSIM III, SIMPLE++ Animation software: Proof AnimationApplication -Oriented Simulators Manufacturing: AutoMod, Extend+MFG,FACTOR/AIM, ManSim/X, MP$IM,ProModel, QUEST, Taylor II, WITNESS Communications/computer: COMNET III,NETWORK II.5, OPNET Modeler, OPNETPlanner, SES/Strategizer, SES/workbench Business: BP$IM, Extend+BPR, ProcessModel, ServiceModel, SIMPROCESS, Time machine Health Care: MedModel9BENEFITS OF SIMULATION MODELING AND ANALYSISAccording to practitioners, simulation modeling and analysis is one of the most frequently used operations research techniques. When used judiciously, simulation modeling and analysis makes it possible to:♦Obtain a better understanding of the system by developing a mathematical model of a system ofinterest, and observing the system's operation in detail over long periods of time.♦Test hypotheses about the system for feasibility.♦Compress time to observe certain phenomena over long periods or expand time to observe a complex phenomenon in detail.♦Study the effects of certain informational, organizational, environmental and policy changes on the operation of a system by altering the system's model; this can be done without disrupting the real system and significantly reduces the risk of experimenting with the real system.♦Experiment with new or unknown situations about which only weak information is available.♦Identify the "driving" variables - ones that performance measures are most sensitive to - and the inter-relationships among them.♦Identify bottlenecks in the flow of entities (material, people, etc.) or information.♦Use multiple performance metrics for analyzing system configurations.♦Employ a systems approach to problem solving.♦Develop well designed and robust systems and reduce system development time.10WHAT ARE SOME PITFALLS TO GUARD AGAINST IN SIMULATION?Simulation can be a time consuming and complex exercise, from modeling through output analysis, that necessitates the involvement of resident experts and decision makers in the entire process. Following is a checklist of pitfalls to guard against.♦Unclear objective.♦Using simulation when an analytic solution is appropriate.♦Invalid model.♦Simulation model too complex or too simple.♦Erroneous assumptions.♦Undocumented assumptions. This is extremely important and it is strongly suggested that assumptions made at each stage of the simulation modeling and analysis exercise be documented thoroughly.♦Using the wrong input probability distribution.♦Replacing a distribution (stochastic) by its mean (deterministic).♦Using the wrong performance measure.♦Bugs in the simulation program.♦Using standard statistical formulas that assume independence in simulation output analysis.♦Initial bias in output data.♦Making one simulation run for a configuration.12MariaIntroduction to Modeling and Simulation 13♦ Poor schedule and budget planning.♦ Poor communication among the personnel involvedin the simulation study.REFERENCESBanks, J., J. S. Carson, II, and B. L. Nelson. 1996.Discrete-Event System Simulation, Second Edition,Prentice Hall.Bratley, P., B. L. Fox, and L. E. Schrage. 1987. A Guideto Simulation, Second Edition, Springer-Verlag.Fishwick, P. A. 1995. Simulation Model Design andExecution: Building Digital Worlds, Prentice-Hall.Freund, J. E. 1992. Mathematical Statistics, Fifth Edition,Prentice-Hall.Hogg, R. V., and A. T. Craig. 1995. Introduction toMathematical Statistics, Fifth Edition, Prentice-Hall.Kleijnen, J. P. C. 1987. Statistical Tools for SimulationPractitioners, Marcel Dekker, New York.Law, A. M., and W. D. Kelton. 1991. SimulationModeling and Analysis, Second Edition,McGraw-Hill.Law, A. M., and M. G. McComas. 1991. Secrets ofSuccessful Simulation Studies, Proceedings of the1991 Winter Simulation Conference, ed. J. M.Charnes, D. M. Morrice, D. T. Brunner, and J. J.Swain, 21-27. Institute of Electrical and ElectronicsEngineers, Piscataway, New Jersey.Maria, A., and L. Zhang. 1997. Probability Distributions,Version 1.0, July 1997, Monograph, Department ofSystems Science and Industrial Engineering, SUNYat Binghamton, Binghamton, NY 13902.Montgomery, D. C. 1997. Design and Analysis ofExperiments, Third Edition, John Wiley.Naylor, T. H., J. L. Balintfy, D. S. Burdick, and K. Chu.1966. Computer Simulation Techniques, John Wiley.Nelson, B. L. 1995. Stochastic Modeling: Analysis andSimulation, McGraw-Hill.AUTHOR BIOGRAPHYANU MARIA is an assistant professor in the departmentof Systems Science & Industrial Engineering at the StateUniversity of New York at Binghamton. She receivedher PhD in Industrial Engineering from the University ofOklahoma. Her research interests include optimizing theperformance of materials used in electronic packaging(including solder paste, conductive adhesives, andunderfills), simulation optimization techniques, geneticsbased algorithms for optimization of problems with alarge number of continuous variables, multi criteriaoptimization, simulation, and interior-point methods.。

"Analyses and Simulation"是一个广泛的术语，它涵盖了许多不同的领域和应用。

一般来说，分析和模拟是用于研究和理解复杂系统的行为和性能的技术。

分析（Analyses）：
分析通常涉及对系统或数据的深入研究，以理解其内在结构和行为。

这可以包括统计分析、数学建模、系统分析等技术。

分析的目的是提取有用的信息，帮助决策者做出更好的决策，优化系统性能，或增进对特定问题的理解。

模拟（Simulation）：
模拟是一种通过创建系统的模型来预测其行为的技术。

模拟模型可以基于物理原理、数学方程、统计模型等。

通过调整模型的参数和条件，研究人员可以观察系统在不同情况下的反应，从而预测真实系统的性能。

模拟在工程设计、经济预测、生态系统研究、医学训练等许多领域都有广泛应用。

分析和模拟经常一起使用，以相互补充和验证。

例如，在分析阶段收集的数据可以用于创建和验证模拟模型。

反过来，模拟结果可以提供分析中没有的额外信息，帮助验证和改进分析方法。

总的来说，"Analyses and Simulation"是一种强大的工具组合，可以帮助我们更好地理解和预测复杂系统的行为，从而做出更明智的决策和设计更好的解决方案。

The Modeling and Simulation of Proportional Reversing Valve Basedon AMESimLin Chuang 1, a , Fei Ye 2,b1-2 School of Mechanical Engineering, Shenyang Jianzhu University, No.9, Hunnan East Road,Hunnan New District, Shenyang City, Liaoning, P.R. China, 110168a *********************,b ***************Keywords: AMESim ；Proportional Reversing Valve ；Modeling and SimulationAbstract . In some models of proportional reversing valve as an example, by Ansoft software andAMESim software respectively establishes the finite element analysis model of proportional solenoidand the proportional reversing valve with simulation model, the output characteristic parameterswhich are obtained by Ansoft software import AMESim proportional solenoid model, settingsimulation parameters, comparing theoretical characteristic curve and the sample parameter, todetermine the proportional solenoid model is correct.By analyzing the proportional reversing valvemodel simulation of the proceeds of the pilot valve to control pressure curve and the main valve coredisplacement curve, known pilot valve for the main valve has good controllability, proportionalreversing valve model to meet the corresponding functional requirement, for it can be used in liftinghydraulic circuit simulation model provides an important reference.1 IntroductionAt present, it is an important means of analysis of the hydraulic system operating characteristicswith the help of AMESim simulation, when the software simulates the truck crane hoisting circuitcontaining the proportional reversing valve,it need the help of HCD function to model the simulationof the proportional reversing valve[1]. Single using HCD to set up the simulation model of theproportional reversing valve,it usually simplifys the proportional electromagnet,uses piecewisefunction simulation of its drive on valve core according to the sample provided parameters,and ishard to ensure the simulation accuracy.The author attempts to use the finite element analysis softwareAnsoft Maxwell to model the proportional electromagnet, through the simulation input/outputcharacteristic of proportional electromagnet, as a proportional directional valve AMESim simulationmodeling of the input signal,to ensure the accuracy of hydraulic system simulation containingproportional control valve.Fig.1 Pilot proportional direction valve structure diagramThis paper is based on the structure and working principle of proportional directional valve, usesAMESim software for modeling and simulation, analysis of the simulation of pilot valve to controlInternational Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2015)pressure curve and the main valve core displacement curve, knowing pilot valve for the main valve has good controllability,proportional directional valve model meeting the corresponding functional requirement, is an important reference for it can be used in lifting hydraulic circuit simulation model provides.2 The working principle of the proportional directional valveFig.1 is the structure diagram of the guide type proportional directional valve, this valve is mainly consisting of two parts, proportion of pilot valve and main valve ,the pilot valve's internal structure includes integrated proportional amplifier, proportional electromagnet and the centring spring, etc.Proportional amplifier amplifys the power of the command signal,inputs proportional current to the proportional electromagnet, proportional electromagnetic outputs electromagnetic force and promotes the forerunner in proportion valve core, at this point, generating a control pressure at the outlet of the pilot valve,it pressd on the one end of both sides of the main valve core, under the action of the pressure,main valve core gradually overcomes the force of the reset spring and begins to move, and forming a valve mouth opening, and the oil flow rate can be changed proportionally and the flow direction can be changed,so to realize the control of the position and speed of the actuator.3 The proportional electromagnet modeling and simulationIn order to study the dynamic output characteristics of proportional electromagnet working alone,it is built in the AMESim simulation model as shown in Fig.2, the main part of its proportional electromagnetic valve is composed of signal input, and the quality of block and the reset spring, the quality of block M is according to the proportional electromagnet armature putting total quality to set, and design of the friction coefficient and reset spring pre-tightening force and stiffness reasonably.Fig.2 Proportional electromagnet AMESim simulation model3.1 AMESim proportional electromagnetic valve is created in the output fileProportional electromagnet GH263-060 as sample, the rated current of 1.11[A] and rated travel 4[mm], suction 145[N] [2], proportional electromagnetic valve is built by using Ansoft software model, when the input rated current is 1.11[A], steady-state output proportional electromagnet force changes between 137 ~ 161[N], the mean value of 148.4[N], 145[N] sample value and the error is only 2.3%, the model correctly reflects the proportional electromagnet output characteristic[3].Proportional electromagnetic valve is set up in the AMESim simulation model, need the electromagnetic force and inductance output characteristics as the data support, through AMESim table edit module will Ansoft Maxwell 2D analysis of the proceeds of the proportional electromagnet electromagnetic force and inductance related data, in the form of a 2D table in AMESim are stored for Diancitie. The data and Dianganxin data format file, so that the proportional electromagnet simulation parameters when imported.3.2 The simulation parameters settingselectromagnet coil inside an electrical current, electromagnetic loop formation on the armature make its output electromagnetic force, after reaching reset spring pre-tightening force, under the impetus of the armature push-rod spring began to shrink.In AMESim environment parameter settings, set parameters for the model on the basis of the above conditions, the main parameter such as Table 1.3.3 Run the simulationAfter setting simulation parameters, operation simulation, get proportional electromagnet simulation results are as follows:(1) The input voltage and current curvesCan be seen from the Fig.3, the input voltage coil is the input voltage proportional solenoid, that is, between 0 and 1 seconds, a linear growth trend, the voltage change range is 0 ~13[V].At this point, as the input voltage, current also increases gradually, in the 1[s] current peak of 1.104[A].The numerical samples with proportional electromagnet rated current numerical 1.11[A] very close.Fig.3 Input voltage and current curve over time(2) The armature current push rod - force change curvesFig.4 Putting armature current - force characteristic curve Fig.5 Theoretical curve Current - power output characteristics of proportional electromagnetic valve is an important index of evaluating its control performance, can be seen in Fig.4 armature putter output force changing with the current, before 0.58[A], electromagnetic force approximation to grow by a certain slope, in 0.58 [A] place, putting electromagnetism appeared inflection point, 0.58[A] and 0.93[A] stage, and electromagnetic force in another slope increase slowly, in 1.1[A] output reach maximum electromagnetic force 144.932[N].Electromagnetic force in the middle stage of slow increase of the reason is that when the armature inductance increases after putting a displacement, the obstacles of thrust increases have played a role, with the increase of current, push rod after a certain stage in electromagnetic force increases rapidly, in the end when the current is 1.1[A], putting the output force is 144.932[N], the sample value and the proportional electromagnet suction numerical rating 145[N] almost unanimously. Armature putter output force rapid rise, slow increase, rapid rise in three stages, and the current proportional electromagnetic valve is shown in Fig.5 - theory of power output characteristic curve, in contrast, the trend and numerical difference is not big, in the range of allowable error.Appear afore-mentioned difference possible factors is: in the process of proportional electromagnet modeling and simulation, to the simplified model, the parameters of the individual module default assumptions, will also introduce a small error[4].Simulation results in view of the above analysis, the proportional solenoid current - force characteristic curve is close to the theoretical analysis, the curves in its value and sample parameter is very close, so after the proportional electromagnet model can be applied to the study.4 The proportional directional valve with the modeling and simulationAs shown in ing AMESim software model pilot proportional directional valve.Fig.6 Pilot proportional directional valve with the simulation model4.1 The simulation parameters settingsPilot valve as the premise of proportional directional valve, the manual input signals accurately convert proportional electromagnet force output signal, and then passed to the control valve core, with the help of drive valve core movement to achieve the goal of controlling the oil is loaded into the main valve core on each control cavity.As drive carrier output proportional electromagnetic valve isthe whole process, the electromagnetic force, putting through the armature effect on pilot valve core, when the output of the electromagnetic force is greater than the reset spring pre-tightening force, valve core began to move and generate the opening of valve port, control the oil into the left side spring cavity of main valve core, when pressure is enough to overcome the right after the spring pre-tightening force and the valve core friction, the main valve core movement to the right, at the same time in the main valve spool valve mouth opening, realize the main valve reversing throttling.In AMESim environment parameter settings, according to the proportional electromagnet simulation model and guiding the operation condition of the proportional directional valve set parameters for the model, main parameter such as Table 2.Table 2 Setting the main parameter of Pilot proportional directional valve Control pressure Constant Source 30[bar]Directional valvespool Piston diameter 15[mm],Rod diameter 2[mm],The rest take a defaultvalueThe main valvemass Mass 0.02[kg]，Coefficient of viscous friction 15[ N/（m/s）],Higher displacement limit 15.2[mm],The rest take a default valueThe main valvespring cavityPre-tightening force 15[N],Spring rate 10000[N/m] Traffic sources Constant flow rate 2[L/min]Set the solver Simulation time 1[s],Time interval 0.001[s]4.2 Run the simulationRun the simulation, the curve can be obtained as follows:Fig.7 Pilot valve to control pressure curveFig.7 is pilot valve to control pressure output curve.Pilot valve control output by the pressure on both sides of the main valve core, under the action of the control pressure, the valve core gradually overcome the role of the reset spring and fluid dynamics, and finally formed the movement of the main valve core, forming a valve mouth opening, the main valve to realize reversing the throttle.By figure, output pressure is 0[bar] before 0.13[s], 0.13[s] control pressure output delay, between 0.13[s] to 0.7[s] time, control the pressure gradually increased, until 0.7[s], the output value of the maximum 30[bar].Fig.8 Main valve core displacement curveThe Fig.8 shows that the main valve core displacement curve and pilot control pressure curvetrend is consistent, the main valve core did not produce displacement before 0.13[s], 0.13[s] to 0.7 [s]in the main valve core control pressure, the maximum displacement of the 15.2[mm], curve reflectsthe pilot valve for the main valve with good controllability[5,6].5 SummaryIn AMESim environment, the proportional electromagnet about the working current and the clearance between the output force and the inductance data respectively by 2D table format is converted to the corresponding format file, proportional electromagnetic valve is set up in the AMESim simulation model of the 2D table data import magnet linear converter, the simulation analysis of the dynamic output characteristics in AMESim software, the result of the proceeds of thecurrent - force curve and theoretical curve contrast, verify the validity of the model, for furtherin-depth theoretical research to provide adequate basis.Set in AMESim model based on proportional electromagnet HCD, pilot proportional directional valve with HCD model, through the analysis of the simulation of the pilot valve to control pressure curve and the main valve core displacement curve,can be the guide valve for the main valve has good controllability, can be used as a directional controlvalve is used for lifting hydraulic circuit simulation model.References[1] BideauxE, SeavardaS. Pneumatic library for AMESim. Fluid Power system and technology,(1998),p.185-195.[2] GH263-060 proportional electromagnet samples. /.[3] Roccatelloa, Mancos, Nervegnan. Modeling a variable displacement axial piston pump in amultibody simulation environment [C]. American Society of Mechanical Engineers(ASME), Torino,(2006),p.456-468.[4] Wong, JY. Theory of Ground Vehicles[M].John Wiley&Sons，New York，(2001),p.169-174.[5] Stringer, John. Hydraulic system analysis [J].The Macmillan Pr.Ltd ,1976.[6] Ying Sun, Ping He,Yun qing Zhang, Li ping Chen. Modeling and Co-simulation of HydraulicPower Steering System[C]. 2011 Third International Conference on Measuring Technology andMechatronics Automation. 2011 IEEE:p.595-600.。

中国计算机学会CCF推荐国际学术期刊会议（最新版）中国计算机学会推荐国际学术期刊会议2014年12⽉，中国计算机学会（CCF）启动新⼀轮《中国计算机学会推荐国际学术会议和期刊⽬录》（简称“⽬录”）更新⼯作，本次更新的原则是：在2013年1⽉发布的“⽬录”（第三版）的基础上进⾏微调，⼗个领域保持不变，但适当修正个别领域本次“⽬录”更新⼯作分为三个阶段完成：提议受理阶段，领域责任专家（或专家组）审议和推荐阶段，以及终审专家组投票表决阶段。

根据CCF的授权和⼯作安排，整个“⽬录”更新⼯作由CCF学术⼯委主持并组织CCF专家完成。

同时，CCF学术⼯委还本次修订共收到经由23个CCF专业委员会提交的135份更新提议，在审议过程中，CCF学术⼯委充分尊重这些建议，对每⼀条建议均进⾏了认真的研究。

对于那些有事实依据和充分论证的建议，给予采纳。

在确定《⽬录》的过程中，既考虑了会议和刊必须指出的是，本《⽬录》是CCF认为值得计算机界研究者们发表研究成果的⼀个推荐列表，其⽬的不是作为学术评价的（唯⼀）依据，⽽仅作为CCF的推荐建议供业界参考，因此不建议任何单位将此《⽬录》简单作为学术评价的依据。

如果由于将此次《⽬录》修订⼯作是CCF学者共同努⼒的结果，期间得到国内外众多专家学者的⽀持，许多专家提出了很多宝贵的建议并提供了很多相关的客观数据，在此致以诚挚的谢意。

中国计算机学会学术⼯作委员会2015年12⽉21⽇CCF 推荐期刊会议：（2015-最新版）整本下载：分篇下载：详细列表：会议列表：　(计算机系统与⾼性能计算）⼀、A类序号会议简称会议全称出版社⽹址1ASPLOS Architectural Support for Programming Languages and Operating Systems ACM2FAST Conference on File and Storage Technologies USENIX3HPCA High-Performance Computer Architecture IEEE4ISCA International Symposium on Computer Architecture ACM/IEEE5MICRO MICRO IEEE/ACM⼆、B类序号会议简称会议全称出版社⽹址1HOT CHIPS A Symposium on High Performance Chips IEEE2SPAA ACM Symposium on Parallelism in Algorithms and Architectures ACM3PODC ACM Symposium on Principles of Distributed Computing ACM4CGO Code Generation and Optimization IEEE/ACM5DAC Design Automation Conference ACM6DATE Design, Automation & Test in Europe Conference IEEE/ACM7EuroSys EuroSys ACM8HPDC High-Performance Distributed Computing IEEE9SC International Conference for High Performance Computing, Networking, Storage, and AnalysisIEEE10ICCD International Conference on Computer Design IEEE10ICCD International Conference on Computer Design IEEE11ICCAD International Conference on Computer-Aided Design IEEE/ACM12ICDCS International Conference on Distributed Computing Systems IEEE13HiPEAC International Conference on High Performance and Embedded Architectures and Compilers ACM14SIGMETRICS International Conference on Measurement and Modeling of Computer Systems ACM15ICPP International Conference on Parallel Processing IEEE16ICS International Conference on Supercomputing ACM17IPDPS International Parallel & Distributed Processing Symposium IEEE18FPGA ACM/SIGDA International Symposium on Field-Programmable Gate Arrays ACM19Performance International Symposium on Computer Performance, Modeling, Measurements and Evaluation ACM20LISA Large Installation system Administration Conference USENIX25USENIX Annul Technical Conference USENIX26VEE Virtual Execution Environments ACM三、C类序号会议简称会议全称出版社⽹址1CF ACM International Conference on Computing Frontiers ACM2NOCS ACM/IEEE International Symposium on Networks-on-Chip ACM/IEEE3ASP-DAC Asia and South Pacific Design Automation Conference ACM/IEEE4ASAP Application-Specific Systems, Architectures, and Processors IEEE5CLUSTER Cluster Computing IEEE6CCGRID Cluster Computing and the Grid IEEE7Euro-Par European Conference on Parallel and Distributed Computing Springer8ETS European Test Symposium IEEE9FPL Field Programmable Logic and Applications IEEE10FCCM Field-Programmable Custom Computing Machines IEEE11GLSVLSI Great Lakes Symposium on VLSI Systems ACM/IEEE12HPCC IEEE International Conference on High Performance Computing and Communications IEEE13MASCOTS IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication SystemsIEEE14NPC IFIP International Conference on Network and Parallel Computing Springer 15ICA3PP International Conference on Algorithms and Architectures for Parallel Processing IEEE 16CASES International Conference on Compilers, Architectures, and Synthesis for Embedded Systems ACM 17FPT International Conference on Field-Programmable Technology IEEE18CODES+ISSSInternational Conference on Hardware/Software Codesign & System Synthesis ACM/ IEEE19HiPC International Conference on High Performance Computing IEEE/ ACM 20ICPADS International Conference on Parallel and Distributed Systems IEEE 21ISCAS International Symposium on Circuits and Systems IEEE 22ISLPED International Symposium on Low Power Electronics and Design ACM/IEEE 23ISPD International Symposium on Physical Design ACM 24ITC International Test Conference IEEE25HotInterconnectsSymposium on High-Performance Interconnects IEEE26VTS VLSI Test Symposium IEEE中国计算机学会推荐国际学术会议　(计算机⽹络）⼀、A类序号会议简称会议全称出版社⽹址1MOBICOM ACM International Conference on Mobile Computing and Networking ACM2SIGCOMM ACM International Conference on the applications, technologies, architectures, and protocols for computer communicationACM3INFOCOM IEEE International Conference on Computer Communications IEEE⼆、B类序号会议简称会议全称出版社⽹址2CoNEXT ACM International Conference on emerging Networking EXperiments and Technologies ACM3SECON IEEE Communications Society Conference on Sensor and Ad Hoc Communications andNetworksIEEE4IPSN International Conference on Information Processing in Sensor Networks IEEE/ACM5ICNP International Conference on Network Protocols IEEE6MobiHoc International Symposium on Mobile Ad Hoc Networking and Computing ACM/IEEE7MobiSys International Conference on Mobile Systems, Applications, and Services ACM8IWQoS International Workshop on Quality of Service IEEE9IMC Internet Measurement Conference ACM/USENIX10NOSSDAV Network and Operating System Support for Digital Audio and Video ACM11NSDI Symposium on Network System Design and Implementation USENIX三、C类序号会议简称会议全称出版社⽹址1ANCS Architectures for Networking and Communications Systems ACM/IEEE2FORTE Formal Techniques for Networked and Distributed Systems Springer3LCN IEEE Conference on Local Computer Networks IEEE4Globecom IEEE Global Communications Conference, incorporating the Global Internet Symposium IEEE5ICC IEEE International Conference on Communications IEEE6ICCCN IEEE International Conference on Computer Communications and Networks IEEE7MASS IEEE International Conference on Mobile Ad hoc and Sensor Systems IEEE8P2P IEEE International Conference on P2P Computing IEEE9IPCCC IEEE International Performance Computing and Communications Conference IEEE10WoWMoM IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks IEEE11ISCC IEEE Symposium on Computers and Communications IEEE12WCNC IEEE Wireless Communications & Networking Conference IEEE12WCNC IEEE Wireless Communications & Networking Conference IEEE13Networking IFIP International Conferences on Networking IFIP14IM IFIP/IEEE International Symposium on Integrated Network Management IFIP/IEEE 15MSWiM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems ACM16NOMS Asia-Pacific Network Operations and Management Symposium IFIP/IEEE中国计算机学会推荐国际学术会议　(⽹络与信息安全）⼀、A类序号会议简称会议全称出版社⽹址1CCS ACMConferenceonComputerand CommunicationsSecurityACM2CRYPTO International Cryptology Conference Springer 3EUROCRYPT European Cryptology Conference Springer 4S&P IEEESymposiumonSecurityandPrivacy IEEE5USENIXSecurity Usenix Security Symposium USENIXAssociation⼆、B类序号会议简称会议全称出版社⽹址1ACSAC Annual Computer Security ApplicationsConferenceIEEE2ASIACRYPT Annual International Conference on the Theory and Application of Cryptology and InformationSecuritySpringer3ESORICS EuropeanSymposiumonResearchinComputerSecuritySpringer4FSE Fast Software Encryption Springer 5NDSS ISOC Network and Distributed System Security Symposium ISOC6CSFW IEEE Computer Security FoundationsWorkshop　7RAID International Symposium on Recent Advancesin Intrusion DetectionSpringer8PKC International Workshop on Practice and Theory in Public Key Cryptography Springer9DSN The International Conference on DependableSystems and NetworksIEEE/IFIP10TCC Theory of Cryptography Conference Springer 11SRDS IEEE International Symposium on Reliable Distributed Systems IEEE12CHES Workshop on Cryptographic Hardware and Embedded Systems Springer 三、C类序号会议简称会议全称出版社⽹址1WiSec ACM Conference on Security and PrivacyinWireless and Mobile NetworksACM2ACMMM&SECACM Multimedia and Security Workshop ACM3SACMAT ACM Symposium on Access Control Modelsand TechnologiesACM4ASIACCS ACM Symposium on Information, Computerand Communications SecurityACM5DRM ACM Workshop on Digital Rights Management ACM 6ACNS Applied Cryptography and Network Security Springer7ACISP AustralasiaConferenceonInformation SecurityandPrivacySpringer8DFRWS Digital Forensic Research Workshop Elsevier 9FC Financial Cryptography and Data Security Springer10DIMVA Detection of Intrusions and Malware &Vulnerability AssessmentSIDAR、GI、Springer11SEC IFIP International Information SecurityConferenceSpringer12IFIP WG11.9IFIP WG 11.9 International Conferenceon Digital ForensicsSpringer13ISC Information Security Conference Springer14SecureCommInternational Conference on Security andPrivacy in Communication NetworksACM15NSPW New Security Paradigms Workshop ACM 16CT-RSA RSA Conference, Cryptographers' Track Springer 17SOUPS Symposium On Usable Privacy and Security ACM 18HotSec USENIX Workshop on Hot Topics in Security USENIX 19SAC Selected Areas in Cryptography Springer20TrustCom IEEE International Conference on Trust, Securityand Privacy in Computing andCommunicationsIEEE中国计算机学会推荐国际学术会议　(软件⼯程、系统软件与程序设计语⾔）⼀、A类序号会议简称会议全称出版社⽹址1FSE/ESEC ACM SIGSOFT Symposium on the Foundation of Software Engineering/ European Software Engineering ConferenceACM2OOPSLA Conference on Object-Oriented Programming Systems, Languages, and Applications ACM3ICSE International Conference on SoftwareEngineeringACM/IEEE4OSDI USENIX Symposium on Operating SystemsDesign and ImplementationsUSENIX5PLDI ACM SIGPLAN Symposium on Programming Language Design & Implementation ACM 6POPL ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages ACM 7SOSP ACM Symposium on Operating Systems Principles ACM ⼆、B类序号会议简称会议全称出版社⽹址1ECOOP European Conference on Object-Oriented Programming AITO2ETAPS European Joint Conferences on Theory and Practice of Software Springer3FM Formal Methods, World Congress FME4ICPC IEEE International Conference on Program Comprehension IEEE5RE IEEE International Requirement Engineering Conference IEEE6CAiSE International Conference on Advanced Information Systems Engineering Springer7ASE International Conference on Automated Software Engineering IEEE/ACM8ICFP International Conf on Function Programming ACM9LCTES International Conference on Languages, Compilers, Tools and Theory for EmbeddedSystemsACM10MoDELS International Conference on Model Driven Engineering Languages and Systems ACM, IEEE 11CP International Conference on Principles and Practice of Constraint Programming Springer 12ICSOC International Conference on Service Oriented Computing Springer 13ICSM International. Conference on Software Maintenance IEEE14VMCAI International Conference on Verification,Model Checking, and Abstract InterpretationSpringer15ICWS International Conference on Web Services（Research Track）IEEE16SAS International Static Analysis Symposium Springer 17ISSRE International Symposium on Software Reliability Engineering IEEE18ISSTA International Symposium on Software Testing and Analysis ACM SIGSOFT19Middleware Conference on middleware ACM/IFIP/ USENIX20WCRE Working Conference on Reverse Engineering IEEE21HotOS USENIX Workshop on Hot Topics in Operating Systems USENIX三、C类序号会议简称会议全称出版社⽹址1PASTE ACMSIGPLAN-SIGSOFTWorkshoponProgram AnalysisforSoftwareToolsandEngineeringACM2APLAS Asian Symposium on Programming Languages and Systems Springer3APSEC Asia-Pacific Software EngineeringConferenceIEEE4COMPSAC International Computer Software and ApplicationsConferenceIEEE5ICECCS IEEE International Conference on Engineeringof Complex Computer SystemsIEEE6SCAM IEEE International Working Conferenceon Source Code Analysis and ManipulationIEEE7ICFEM International Conference on FormalEngineering MethodsSpringer8TOOLS International Conference on Objects, Models,Components, PatternsSpringer9PEPM ACM SIGPLAN Symposium on Partial Evaluation andSemantics Based Programming ManipulationACM10QSIC International Conference on Quality Software IEEE11SEKE International Conference on Software Engineering and Knowledge EngineeringKSI12ICSR International Conference on Software Reuse Springer 13ICWE International Conference on Web Engineering Springer14SPIN International SPIN Workshop on ModelChecking of SoftwareSpringer15LOPSTR International Symposium on Logic-basedProgram Synthesis and TransformationSpringer16TASE International Symposium on Theoretical Aspects of Software EngineeringIEEE17ICST The IEEE International Conference on Software Testing, Verification and ValidationIEEE18ATVA International Symposium on Automated Technology for Verification and Analysis19ESEM International Symposium on Empirical Software Engineeringand MeasurementACM/IEEE20ISPASS IEEE International Symposium on Performance Analysis of Systems and SoftwareIEEE21SCC International Conference on Service Computing IEEE22ICSSP International Conference on Software and System Process ISPA中国计算机学会推荐国际学术会议　(数据库，数据挖掘与内容检索）⼀、A类序号会议简称会议全称出版社⽹址1SIGMOD ACM Conference on Management ofDataACM2SIGKDD ACM Knowledge Discovery and DataMiningACM3SIGIR International Conference on ResearchanDevelopment in Information RetrievalACM4VLDB International Conference on Very LargeData BasesMorganKaufmann/ACM5ICDE IEEE International Conference on Data EngineeringIEEE⼆、B类序号会议简称会议全称出版社⽹址1CIKM ACM International Conference onInformationand Knowledge ManagementACM2PODS ACM SIGMOD Conference on Principlesof DB SystemsACM3DASFAA Database Systems for AdvancedSpringer3DASFAA Database Systems for AdvancedApplicationsSpringer4ECML-PKDDEuropean Conference on Principles andPractice of Knowledge Discovery inDatabasesSpringer5ISWC IEEE International Semantic WebConferenceIEEE6ICDM IEEE International Conference on DataMiningIEEE7ICDT International Conference on DatabaseTheorySpringer8EDBT International Conference on ExtendingDBTechnologySpringer9CIDR International Conference on InnovationDatabase ResearchOnlineProceeding10WWW International World Wide WebConferencesSpringer11SDMMiningSIAM三、C类序号会议简称会议全称出版社⽹址1WSDM ACM International Conference on Web Search and Data MiningACM2DEXA Database and Expert SystemApplicationsSpringer3ECIR European Conference on IR Research Springer4WebDB International ACM Workshop on Weband DatabasesACM5ER International Conference on Conceptual ModelingSpringer6MDM International Conference on Mobile Data ManagementIEEE7SSDBM International Conference on Scientificand Statistical DB ManagementIEEE8WAIM International Conference on Web Age Information ManagementSpringer9SSTD International Symposium on Spatial and Temporal DatabasesSpringer10PAKDD Pacific-Asia Conference on Knowledge Discovery and Data MiningSpringer11APWeb The Asia Pacific Web Conference Springer12WISE Web Information Systems Engineering Springer13ESWC Extended Semantic Web Conference Elsevier中国计算机学会推荐国际学术会议（计算机科学理论）⼀、A类序号会议简称会议全称出版社⽹址1STOC ACM Symposium on Theory of Computing ACM2FOCS IEEE Symposium on Foundations ofComputer Science IEEE3LICS IEEE Symposium on Logic in ComputerScienceIEEE⼆、B类序号会议简称会议全称出版社⽹址1SoCG ACM Symposium on ComputationalGeometryACM2SODA ACM-SIAM Symposium on DiscreteAlgorithmsSIAM3CAV Computer Aided Verification Springer4CADE/IJCAR Conference on Automated Deduction/The International Joint Conference onAutomated ReasoningSpringer5CCC IEEE Conference on Computational Complexity IEEE6ICALP International Colloquium on Automata,Languages and ProgrammingSpringer7CONCUR International Conference onConcurrency TheorySpringer三、C类序号会议简称会议全称出版社⽹址1CSL Computer Science Logic Springer2ESA European Symposium on Algorithms Springer3FSTTCS Foundations of Software Technologyand Theoretical Computer ScienceIndianAssociationfor Researchin ComputingScience4IPCO International Conference on Integer Programming and CombinatorialOptimizationSpringer5RTA International Conference on Rewriting Techniques and ApplicationsSpringer6ISAAC International Symposium onAlgorithms and ComputationSpringer7MFCS Mathematical Foundations ofComputer ScienceSpringer8STACS Symposium on Theoretical Aspectsof Computer ScienceSpringer9FMCAD Formal Method in Computer-Aided Design ACM/9FMCAD ACM/10SAT Springer中国计算机学会推荐国际学术会议（计算机图形学与多媒体）⼀、A类序号会议简称会议全称出版社⽹址1ACM MM ACM International Conference on Multimedia ACM2SIGGRAPH ACM SIGGRAPH Annual Conference ACM3IEEE VIS IEEE Visualization Conference IEEE⼆、B类序号会议简称会议全称出版社⽹址1ICMR ACM SIGMM International Conference on Multimedia Retrieval ACM2i3D ACM Symposium on Interactive 3D Graphics ACM3SCA ACM/Eurographics Symposium on Computer Animation ACM4DCC Data Compression Conference IEEE5EG Eurographics Wiley/ Blackwell6EuroVis Eurographics Conference on Visualization ACM7SGP Eurographics Symposium on Geometry Processing Wiley/ Blackwell8EGSR Eurographics Symposium on Rendering Wiley/ Blackwell9ICME IEEE International Conference onMultimedia &ExpoIEEE10PG Pacific Graphics: The Pacific Conference on Computer Graphics and Applications Wiley/ Blackwell11SPM Symposium on Solid and Physical Modeling SMA/Elsevier三、C类序号会议简称会议全称出版社⽹址1CASA Computer Animation and Social Agents Wiley2CGI Computer Graphics International Springer3ISMAR International Symposium on Mixed and Augmented Reality IEEE/ACM4PacificVis IEEE Pacific Visualization Symposium IEEE5ICASSP IEEE International Conference on Acoustics, Speech and SP IEEE6ICIP International Conference on Image Processing IEEE7MMM International Conference on Multimedia Modeling Springer8GMP Geometric Modeling and Processing Elsevier9PCM Pacific-Rim Conference on Multimedia Springer10SMI Shape Modeling International IEEE中国计算机学会推荐国际学术会议（⼈⼯智能与模式识别）⼀、A类序号会议简称会议全称出版社⽹址1AAAI AAAI Conference on Artificial Intelligence AAAI2CVPR IEEE Conference on Computer Vision andPattern RecognitionIEEE3ICCV International Conference on ComputerVisionIEEE4ICML International Conference on MachineLearningACM5IJCAI International Joint Conference on ArtificialIntelligenceMorgan Kaufmann⼆、B类序号会议简称会议全称出版社⽹址1COLT Annual Conference on ComputationalLearning TheorySpringer2NIPS Annual Conference on Neural InformationProcessing SystemsMIT Press3ACL Annual Meeting of the Association for Computational Linguistics ACL4EMNLP Conference on Empirical Methods in Natural Language ProcessingACL5ECAI European Conference on ArtificialIntelligenceIOS Press6ECCV European Conference on Computer Vision Springer7ICRA IEEE International Conference on Roboticsand AutomationIEEE8ICAPS International Conference on AutomatedPlanning and SchedulingAAAI9ICCBR International Conference on Case-BasedReasoningSpringer10COLING International Conference on Computational LinguisticsACM11KR International Conference on Principles ofKnowledge Representation and ReasoningMorgan Kaufmann12UAI International Conference on Uncertaintyin Artificial IntelligenceAUAI13AAMAS International Joint Conferenceon Autonomous Agents and Multi-agentSystemsSpringer三、C类序号会议简称会议全称出版社⽹址1ACCV Asian Conference on Computer Vision Springer1ACCV Asian Conference on Computer Vision Springer 2CoNLL Conference on Natural Language Learning CoNLL3GECCO Genetic and Evolutionary ComputationConferenceACM4ICTAI IEEE International Conference on Tools with Artificial IntelligenceIEEE5ALT International Conference on AlgorithmicLearning TheorySpringer/6ICANN International Conference on Artificial Neural NetworksSpringer7FGR International Conference on Automatic Faceand Gesture RecognitionIEEE8ICDAR International Conference on DocumentAnalysis and RecognitionIEEE9ILP International Conference on Inductive Logic ProgrammingSpringer10KSEM International conference on KnowledgeScience,Engineering and ManagementSpringer11ICONIP International Conference on NeuralInformation ProcessingSpringer12ICPR International Conference on PatternRecognitionIEEE13ICB International Joint Conference on Biometrics IEEE14IJCNN International Joint Conference on NeuralNetworksIEEE15PRICAI Pacific Rim International Conference onArtificial IntelligenceSpringer/16NAACL The Annual Conference of the NorthAmerican Chapter of the Associationfor Computational LinguisticsNAACL17BMVC British Machine Vision Conference British MachineVision Association中国计算机学会推荐国际学术会议（⼈机交互与普适计算）⼀、A类序号会议简称会议全称出版社⽹址1CHI ACM Conference on Human Factors in Computing Systems ACM2UbiComp ACM International Conference on Ubiquitous Computing ACM⼆、B类序号会议简称会议全称出版社⽹址1CSCW ACM Conference on Computer Supported Cooperative Work and Social Computing ACM2IUI ACM International Conference on Intelligent User Interfaces ACM3ITS ACM International Conference on Interactive Tabletops and Surfaces ACM/4UIST ACM Symposium on User Interface Software and Technology ACM5ECSCW European Computer Supported Cooperative Work Springer6MobileHCI International Conference on Human Computer Interaction with Mobile Devices and Services ACM三、C类序号会议简称会议全称出版社⽹址1GROUP ACM Conference on Supporting Group Work ACM2ASSETS ACM Conference on Supporting Group Work ACM3DIS ACM Conference on Designing InteractiveSystemsACM4GI Graphics Interface conference ACM 5MobiQuitous International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services Springer6PERCOM IEEE International Conference onPervasive Computing and CommunicationsIEEE7INTERACT IFIP TC13 Conference on Human-ComputerInteractionIFIP8CoopIS International Conference on Cooperative Information Systems Springer9ICMI ACM International Conference on MultimodalInteractionACM10IDC Interaction Design and Children ACM 11AVI International Working Conference on Advanced User Interfaces ACM12UIC IEEE International Conference on UbiquitousIntelligence and ComputingIEEE中国计算机学会推荐国际学术会议（前沿、交叉与综合）⼀、A类序号会议简称会议全称出版社⽹址1RTSS Real-Time Systems Symposium IEEE⼆、B类序号会议简称会议全称出版社⽹址1EMSOFT International Conference on Embedded Software ACM/IEEE/IFIP2ISMB International conference on Intelligent Systems for Molecular Biology Oxford Journals3CogSci Cognitive Science Society Annual Conference Psychology Press4RECOMB International Conference on Research in Computational Molecular Biology Springer5BIBM IEEE International Conference on Bioinformatics and Biomedicine IEEE三、C类序号会议简称会议全称出版社⽹址1AMIA American Medical Informatics Association Annual Symposium AMIA2APBC Asia Pacific Bioinformatics Conference BioMed Central3COSIT International Conference on Spatial Information Theory ACM3COSIT International Conference on Spatial Information Theory ACM。

Reference：国际会议及期刊星级说明（学术影响力）：引自李晓明，2007-3-4, "做全面发展的研究生" 一文0级：国内会议，国内核心刊物，如SEWM，《计算机应用》，《计算机工程与应用》，《计算机工程与设计》1级：国内发起并主办的国际学术会议（例如Intl Conf. on Computer Networks and Mobile Computing,GCC）2级：国内一级学术期刊，如《计算机学报》，《计算机研究与发展》，《软件学报》等，重要的地区性国际会议（例如PAKDD，ICADL，APWEB，WAIM，ICCIT, ISPA，ICWL等）2.5级：国际专业知名会议（例如ICWE，DASFAA），影响因子在1.0以下的知名国际专业刊物（例如Intl Journal of Information Technology，Journal of Information Science，Journal of Computer Science and Technology, Journal of Web Engineering，等），《中国科学》，《科学通报》等3级：国际专业品牌会议（例如EDBT，ICDCS），影响因子在1.0-2.0之间的国际专业刊物（例如IEEE Transactions on Computer, Sigmod Record, Journal of Computer Networks，Journal of Software and Systems）4级：国际专业顶级会议（例如SIGMOD，VLDB，CIKM,IC DE，SIGIR，SIGKDD，WWW）与国际著名刊物（例如ACM Computing Surveys, VLDB Journal, ACM Transaction on Information Systems等，以及IEEE Transactions系列中影响因子在2.0以上的）5级：国际著名综合品牌刊物（例如PNAS，Nature，Science等）以下是除5级以外的会议及期刊星级分类：4．0 国际专业顶级会议（A类或引用因子>0.9）ACM Special Interest Group on Data Communication(SIGCOMM)ACM Special Interest Group on Mobility of Sys-tems, Users, Data and Computing (MOBICOM)ACM Special Interest Group on Measurement and Evaluation (SIGMETRICS)ACM/IEEE Intl Symposium on Mobile Ad Hoc Networking and Computing (MOBIHOC)ACM/IEEE World Wide Web Conf. (WWW)Knowledge Discovery and Data Mining (SIGKDD)IEEE Intl Conf. on Data Engineering (ICDE)Intl Conf. on Very Large DataBase (VLDB)Special Interest Group on Information Retrieval (SIGIR)ACM SIGMOD Conf. on Management of Data/Principles of DB SystemsExtending DB Technology (EDBT)Usenix Symp on OS Design and Implementation (OSDI)ACM SIGOPS Symp on OS Principles (SOSP:)Intl Conf. on Machine Learning (ICML)Intl. Conf on Information and Knowledge Management (CIKM)Annual Meeting of the ACL (Association of Computational Linguistics) (ACL)Intl Conf on Extending DB Technology (EDBT)Database and Expert System Applications (DEXA)Symposium on High-Perf Comp Architecture (HPCA )3．5 国际专业品牌会议(B类或0.8<引用因子<0.9)ACM Intl Conf. on Embedded Networked Sensor Systems(SenSys)ACM/SIGAPP Symposium on Applied Computing（SAC）ACM Symp on Principles of Distributed Computing (PODC)IEEE Intl Conf. on Network Protocols (ICNP)IEEE Conf. on Computer Communications (INFOCOM)IEEE Intl Conf. on Distributed Computing Systems (ICDCS)IEEE Intl Conf. on Pervasive Computing and Communications (PerCom)IEEE Conf. on Local Computer Networks (LCN)IEEE Wireless Communications and Networking Conf. (WCNC)IEEE Intl Conf on Networking Topology in Computer Science Conf.(ICN)IEEE Intl Conf. on Mobile Ad-hoc and Sensor Systems(MASS)USENIX USENIX Annual Technical Conf.USENIX Network and Distributed System Security Symposium (NDSS)Intl conf. on Wireless Networks (ICWN)USENIX Conf on Internet Tech and SysIntl Conf on Parallel Arch and Compil Tech (PACT)Symposium on Parallel Algms and Architecture (SPAA )Intl Database Engineering and Application Symposium (IDEAS)3．0 国际专业品牌会议(C类或0.7<引用因子ACM/USENIX Intl Conf. on Mobile Systems, Applications, and Services (MobiSys)ACM/IEEE Annual Intl Conf. on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS)ACM Intl Workshop on Mobility in the Evolving Internet Architecture (MobiArch)ACM/IEEE Intl Conf. on Information Processing in Sensor Networks (IPSN)ACM Intl Conf. on Web Search and Data Mining (WSDM)ACM/IEEE Joint Conf. on Digital Libraries (JCDL)IEEE Intl Workshop on Quality of Service (IWQoS)IEEE Intl Parallel and Dist Processing Symp (IPDPS)IEEE/ACM Conf. on High Performance Computing Networking and Storage (Supercomputing)IEEE/ACM Intl Conf. on Information Processing in Sensor Networks (IPSN)IEEE Intl Conf. on Data Mining (ICDM)IEEE Global Communications Conf., incorporating the Global Internet Symposium (Globecom)IEEE Intl Phoenix Conf on Comp & Communications(IPCCC)USENIX Conf. on File and Storage Technologies(FAST)USENIX Symp on Networked Systems Design & Implementation (NSDI)USENIX Intl Workshop on Peer-to-Peer Systems (IPTPS)Intl conf. on Computer Communication (ICCC)IFIP Intl Conf.s on Networking (Networking)Workshop on Data Engineering for Wireless and Mobile Acc (MobiDE)European Conf. on Machine Learning (ECML)European Conf. on Information Retrieval (ECIR)Database Systems for Advanced Applications (DASFAA)2．5 地区专业品牌会议(0.6<引用因子<0.7)ACM Intl Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM) IEEE Conf on P2P Computing（P2P）IEEE Communications Society Conf on Sensor and Ad Hoc Communications and Networks(SECON) IEEE Intl Conf on Comp Comm and Networks (ICCCN)IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC)IEEE Semiannual Vehicular Technology Conf (VTC)IEEE/IFIP Network Operations and Management Symposium (MONS)IEEE/IFIP Intl Symposium on Integrated Network Management (IM)IEEE Intl Symposium on Reliable Distributed Systems(SRDS)FORTE Formal Techniques for Networked and Distributed SystemsThe Pacific-Asia Conf on Knowledge Discovery and Data Mining（PAKDD）Asia Pacific Web Conf / Intl Conf. on Web Age Information Management （APWeb / WAIM）Text REtrieval Conf（TREC）Human Language Technology Conf（HLT）Conf of the Intl. Committee on Computational Linguistics （COLLING）Intl Semantic Web Conf（ISWC）European Semantic Web Conf（ECWC）Intl Conf. on Asian Digital Libraries （ICADL）European Conf. on Digital Libraries （ECDL）2．0 地区专业品牌会议(0.5<引用因子<0.6)Intl Conf. on Parallel and Distributed Systems （ICPADS）ACM Workshop on Wireless Mobile Multimedia (WOWMOM)IEEE Intl Conf. on Communications (ICC)Intl Symposium on Parallel and Distributed Processing and Applications （ISPA）Intl Conf on Pervasive Systems and Computing （PSC）Asia Information Retrieval Symp （AIRS）Asia Pacific Web Conf. （APWEB）Intl Conf. on Web-based Learning （ICWL）1．0 国内发起并主办的国际会议Grid Computing Conf. (GCC)Semantic Knowledge Grid (SKG)Intl Conf. on Natural Computation / Intl Conf. on Fuzzy Systems and Knowledge Discovery (ICNC/FSKD) mobiCHINA0．0 国内会议SEWM: Sympo of Search Engine and Web MiningCNCC：中国计算机大会。

ACM期刊及会议文献列表 ACM 期刊清单1 ACM Computing Surveys (CSUR)2 ACM Journal of Computer Documentation (JCD)3 ACM Letters on Programming Languages and Systems (LOPLAS)4 Journal of Educational Resources in Computing (JERIC)5 Journal of Experimental Algorithmics (JEA)6 Journal of the ACM (JACM) ACM 杂志清单1 Communications of the ACM2 Crossroads3 StandardView4 Ubiquity5 eLearn6 intelligence7 interactions8 netWorker ACM学报清单1 ACM Transactions on Asian Language Information Processing (TALIP)2 ACM Transactions on Computational Logic (TOCL)3 ACM Transactions on Computer Systems (TOCS)4 ACM Transactions on Computer-Human Interaction (TOCHI)5 ACM Transactions on Database Systems (TODS)6 ACM Transactions on Design Automation of Electronic Systems (TODAES)7 ACM Transactions on Graphics (TOG)8 ACM Transactions on Information Systems (TOIS)9 ACM Transactions on Information and System Security (TISSEC)10 ACM Transactions on Internet Technology (TOIT)11 ACM Transactions on Mathematical Software (TOMS)12 ACM Transactions on Modeling and Computer Simulation (TOMACS)13 ACM Transactions on Programming Languages and Systems (TOPLAS)14 ACM Transactions on Software Engineering and Methodology (TOSEM)15 IEEE/ACM Transactions on Networking (TON) ACM会议清单1 ACM Policy2 ACM Southeast Regional Conference3 ACM/CSC-ER4 Computer graphics, virtual reality, visualisation and interaction in Africa5 International Conference on Autonomous Agents6 ACM International Conference Proceeding Series7 Analysis of Neural Net Applications Conference8 Annual Simulation Symposium9 Aspect-oriented software development10 International Conference on APL11 with EDA Technofair Design Automation Conference Asia and South Pacific12 Architectural Support for Programming Languages and Operating Systems13 ACM SIGACCESS Conference on Assistive Technologies14 AVI15 Creativity and Cognition16 International Conference on Compilers, Architecture and Synthesis for Embedded Systems17 Computer Architecture Workshop18 Conference on Computer and Communications Security19 Consortium for Computing Sciences in Colleges20 Contemporary Computing in Ukraine21 Conference On Computing Frontiers22Computers, Freedom and Privacy23 Code Generation and Optimization24 Conference on Human Factors in Computing Systems25 Conference on Information and Knowledge Management26 Conference On Information Technology Education27 International Conference on Hardware Software Codesign28 Annual Workshop on Computational Learning Theory29 Applications, Technologies, Architectures,and Protocols for Computer Communication30 Special Interest Group on Computer Personnel Research Annual Conference31 Symposium on Computers and the Quality of Life32 ACM Annual Computer Science Conference33 Computer Supported Cooperative Work34 ACM Conference on Universal Usability35 Collaborative Virtual Environments36 Annual ACM IEEE Design Automation Conference37 Designing Augmented Reality Environments38 Design, Automation, and Test in Europe39 Distributed event-based systems40 Workshop on Discrete Algothrithms and Methods for MOBILE Computing and Communications41 Symposium on Designing Interactive Systems41 International Conference on Digital Libraries43 Data Mining And Knowledge Discovery44 Data Warehousing and OLAP45 International Symposium on Databases for Parallel and Distributed Systems46 Designing Pleasurable Products And Interfaces47 ACM Workshop On Digital Rights Management48 DSL49 Designing For User Experiences50 Document Engineering51 Workshop on Dynamic and Adaptive Compilation and Optimization53 Electronic Commerce54 Ethics in the Computer Age55 OOPSLA workshop on eclipse technology eXchange56 European Design and Test Conference57 International Conference On Embedded Software58 Annual ERLANG Workshop59 Eye Tracking Research & Application60 ACM SIGOPS European Workshop61 European Design Automation Conference62 Workshop on Formal Methods in Security Engineering63 Formal Methods in Software Practice64 Formal Ontology in Information Systems65 Functional Programming Languages and Computer Architecture66 International Symposium on Field Programmable Gate Arrays67 Genetic And Evolutionary Computation Conference68 Geographic Information Systems69 Great Lakes Symposium on VLSI70 GRAPHICON71 Computer graphics and interactive techniques in Austalasia and South East Asia72 Conference on Supporting Group Work73 History of Medical Informatics74 History of Programming Languages75 History of Personal Workstations76 History of Scientific and Numeric Computation77 Conference on Hypertext and Hypermedia78 SIGGRAPH/EUROGRAPHICS Workshop On Graphics Hardware79 Haskell80 Hypercube Concurrent Computers and Applications81 International Conference on Artificial Intelligence and Law82 International Conference on Computer Aided Design83 International Conference on Information and Computation Economies84 International Conference on Functional Programming85 International Conference on Information Systems86 ICMI87 International Conference on Supercomputing88 International Conference on Software Engineering89 International Conference On Service Oriented Computing90 Interaction Design And Children91 International conference on Industrial and engineering applications of artificial intelligence and expert systems92 Internet Measurement Conference93 Workshop on I/O in Parallel and Distributed Systems94 Information Processing In Sensor Networks95 Information Quality in Informational Systems96 International Workshop on Information Retrieval with Asia Languages97 International Workshop on Real-time Ada Issues98 International Conference on Computer Architecture99 International Symposium on Low Power Electronics and Design100 International Symposium on Methodologies for Intelligent Systems101 International Symposium on Memory Management102 International Symposium on Physical Design103 International Software Process Workshop 104 International Conference on Symbolic and Algebraic Computation105 International Symposium on Systems Synthesis106 International Symposium on Software Testing and Analysis107 Annual Joint Conference Integrating Technology into Computer Science Education108 International Conference on Intelligent User Interfaces109 Interpreters, Virtual Machines And Emulators110 International Workshop on Software Specifications & Design111 Information security curriculum development112 Java Grande Conference113 International Conference On Knowledge Capture114 Conference on Knowledge Discovery in Data115 Language, Compiler and Tool Support for Embedded Systems116 Conference on LISP and Functional Programming117 International Conference On Mobile Data Management118 International Symposium on Microarchitecture119 International Multimedia Conference120 ACM International Workshop On Multimedia Databases121 Memory System Performance122 International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems123 Multiple-Valued Logic124 Multimedia Middleware Workshop125 International Conference on Mobile Computing and Networking126 International Workshop on Data Engineering for Wireless and Mobile Access127 International Symposium on Mobile Ad Hoc Networking & Computing128 International Conference On Mobile Systems, Applications And Services129 International Workshop on Network and Operating System Support for Digital Audio and Video130 Non-Photorealistic Animation and Rendering131 New Paradigms in Information Visualization and Manipulation131 New Security Paradigms Workshop132 Network and System Support for Games133 International Workshop on Object-Oriented Database Systems134 Conference on Object Oriented Programming Systems Languages and Applications135 OOPWORK136 PACT137 Workshop on Parallel and Distributed Simulation138 International Symposium on Parallel Symbolic Computation139 Workshop on Program Analysis for Software Tools and Engineering140 Participatory Design141 ACM/SIGPLAN Workshop Partial Evaluation and Semantics-Based Program Manipulation142 Conference on Programming Language Design and Implementation143 Annual ACM Symposium on Principles of Distributed Computing144 Symposium on Principles of Database Systems145 ACM Workshop On Principles Of Mobile Computing146 Annual Symposium on Principles of Programming Languages147 International Conference on Principles and Practice of Declarative Programming 148 Symposium on Principles and Practice of Parallel Programming149 Principles and Practice of Parallel Programming150 Parallel Rendering Symposium151 Parallel and large-data visualization and graphics152 ACM Workshop on Role Based Access Control153 Annual Conference on Research in Computational Molecular Biology154 Workshop On Rule-Based Programming155 Symposium on Applied Computing156 Symposium on Access Control Models and Technologies157 Workshop on Security of ad hoc and Sensor Networks158 SBCCI159 Conference on High Performance Networking and Computing160 Symposium on Computer Animation161 Symposium on Compiler Construction162 Spring Conference on Computer Graphics163 Annual Symposium on Computational Geometry164 Software Configuration Management Workshop165 Simulation of Computer Networks166 Conference On Embedded Networked Sensor Systems167 Software Engineering Symposium on Practical Software Development Environments 168 Symposium on Environments and Tools for Ada169 Symposium on Interactive 3D Graphics170 Annual International Conference on Ada171 Technical Symposium on Computer Science Education172 ACM Special Interest Group for Design of Communications173 SIGFORTH174 International Conference on Computer Graphics and Interactive Techniques175 Annual ACM Conference on Research and Development in Information Retrieval176 Joint International Conference on Measurement and Modeling of Computer Systems 177 International Conference on Management of Data178 SIGPLAN179 Symposium on Small Systems180 Foundations of Software Engineering181 User Services Conference182 International Workshop on System-Level Interconnect Prediction183 Symposium on Language Issues in Programming Environments184 ACM Symposium on Solid Modeling and ApplicationsSymposium on Discrete Algorithms185 ACM Symposium on Operating Systems Principles186 ACM Symposium on Parallel Algorithms and Architectures187 Symposium on Parallel and Distributed Tools188 Symposium on Software Reusability189 Annual ACM Symposium on Theory of Computing190 Software Visualization191 SIGGRAPH Video Review192 Symposium on Symbolic and Algebraic Manipulation193 Richard Tapia Celebration Of Diversity In Computing194 Theoretical Aspects Of Rationality And Knowledge195Timing Issues In The Specification And Synthesis Of Digital Systems196 Trends and Direction in Expert Systems197 Types In Languages Design And Implementation198 Symposium on User Interface Software and Technology199 Virtual reality, archeology, and cultural heritage200 IEEE Visualization201 Virtual Reality Modeling Language Symposium202 Virtual Reality Software and Technology203 Symposium on Volume Visualization204 International Conference on Work activities Coordination and Collaboration 205 Washington Ada Symposium206 Workshop On Web Information And Data Management207 Wireless Mobile Applications And Services On Wlan Hotspots208 International Workshop on Mobile Commerce209 Wireless Mobile Internet210 Workshop on Rapid Malcode211 Workshop on Software and Performance212 Workshop on Self-healing systems213 Workshop on Parallel & Distributed Debugging214 Workshop On Privacy In The Electronic Society215 Wireless Security216 Winter Simulation Conference217 International Workshop on Wireless Sensor Networks and Applications218 Workshop on Universal Accessibility of Ubiquitous Computing219 International World Wide Web Conference220 3D technologies for the World Wide Web221 International Workshop on Wireless Mobile Multimedia222 Workshop On XML Security。

System Modeling and Simulation System modeling and simulation are two key concepts in the field of engineering and technology. They are used to design, analyze, and optimize complex systems in various industries such as aerospace, automotive, and manufacturing. In this essay, we will discuss the importance of system modeling and simulation, the benefits they offer, and the challenges associated with their implementation.System modeling is the process of creating a mathematical representation of a system. It involves identifying the inputs, outputs, and components of the system and defining their relationships. Simulation, on the other hand, is the process of using the model to predict how the system will behave under different conditions. By combining these two processes, engineers can create virtual prototypes of complex systems and test them before they are built.One of the main benefits of system modeling and simulation is that they allow engineers to identify and correct design flaws early in the development process. By simulating the behavior of a system, engineers can test various scenarios and evaluate the performance of the system under different conditions. This helps to reduce the risk of costly errors and delays during the manufacturing and testing phases of the project.Another benefit of system modeling and simulation is that they enable engineers to optimize the performance of a system. By analyzing the simulation results, engineers can identify areas where the system can be improved and make the necessary adjustments. This can lead to significant cost savings and improved efficiency in the final product.System modeling and simulation also offer benefits in terms of safety. By simulating the behavior of a system, engineers can identify potential safety hazards and take steps to mitigate them. This is particularly important in industries such as aerospace and automotive, where safety is a critical concern.Despite the many benefits of system modeling and simulation, there are also challenges associated with their implementation. One of the main challenges is the complexity of the systems being modeled. As systems become more complex, the models required to simulate their behavior become more complex as well. This canmake it difficult to create accurate models and can increase the time and resources required to complete the simulation.Another challenge is the availability of data. In order to create an accurate model, engineers need access to data on the behavior of the system under different conditions. This data can be difficult to obtain, particularly in industries where the systems being modeled are new or proprietary.In conclusion, system modeling and simulation are critical tools for engineers and designers in a variety of industries. They offer numerous benefits, including the ability to identify and correct design flaws early in the development process, optimize system performance, and improve safety. However, there are also challenges associated with their implementation, including the complexity of the systems being modeled and the availability of data. Despite these challenges, the benefits of system modeling and simulation make them an essential part of modern engineering and design.。

mathematical modelling and analysis 数学模型和分析是数学领域中重要的分支。

数学模型是指将实际问题抽象成数学形式，用数学语言和符号表达出来，从而可以对问题进行分析和解决。

数学分析则是指运用数学方法对数学模型进行研究和求解的过程。

数学模型可以应用于各个领域，如物理、生物、经济、工程等。

其作用在于将实际问题抽象成为更为简洁、清晰的数学形式，以便更好地理解问题。

对于物理问题，数学模型可以用来描述物体的运动、热力学过程等；对于生物问题，可以用来描述生物体内的生理过程、遗传变异等；对于经济问题，可以用来描述市场供求关系、企业经营等。

数学模型的应用覆盖面非常广泛，可以帮助我们更好地理解自然和社会现象。

数学分析则是对数学模型进行研究和求解的过程。

在数学分析中，我们需要运用各种数学方法和工具，例如微积分、差分方程、统计分析等，对数学模型进行求解和分析。

通过对数学模型的分析，我们可以预测未来的趋势、优化设计方案、提高生产效率等。

数学模型和分析的应用已经深入到各个领域中，这与数学的广泛性和深度相关。

正是因为数学的广泛性和深度，它才能够应用于各个领域，进一步推动各个领域的发展。

总之，数学模型和分析是数学领域中非常重要的分支。

它们的应用覆盖面非常广泛，可以帮助我们更好地理解和解决实际问题。

与此同时，数学模型和分析也推动了数学领域的发展。

未来，随着科技的
不断进步和社会的不断发展，数学模型和分析的应用也将会不断拓展和深入。

翼型绕流不同频率展向振荡电磁力减阻控制实验研究尹洪桥;陈耀慧;赵朋龙【摘要】研究结果表明展向振荡电磁力可控制湍流边界层,电磁力的振荡频率对湍流的控制效果有影响,但并未讨论电磁力振荡频率对控制效果的影响机理.实验研究了不同频率展向振荡电磁力控制翼型绕流的减阻效果及其影响机理.实验在转动的水槽中进行,在翼型的背风面包覆展向振荡电磁力激活板,并将其浸入水槽中,利用应变传感器测量翼型的阻力,基于意法半导体公司生产的微处理器开发电磁力控制器,用于控制电磁力的方向和振荡频率.研究结果表明展向振荡电磁力对翼型绕流具有减阻效果,对比分析了不同频率的展向振荡电磁力的减阻效果,发现电磁力的振荡频率为20 Hz时减阻效果较优,减阻效率可达到18％;展向振荡电磁力可减小翼型阻力的振动幅值,具有减震功能;当电磁力的振动频率与阻力曲线内小波动频率相近时,电磁力的减阻减震的效果最佳.【期刊名称】《科学技术与工程》【年(卷),期】2018(018)029【总页数】5页(P162-166)【关键词】振荡电磁力;翼型绕流;振荡频率;减阻【作者】尹洪桥;陈耀慧;赵朋龙【作者单位】南京理工大学瞬态物理国家重点实验室,南京210094;南京理工大学瞬态物理国家重点实验室,南京210094;南京理工大学瞬态物理国家重点实验室,南京210094【正文语种】中文【中图分类】O361.3黏性流体经过钝体时，由于流体的黏性及逆压梯度的存在，会在钝体的前缘产生流动分离，增加阻力和减小升力；还会导致阻力和升力的脉动，甚至产生噪声、振荡和失稳，这往往是人们所不期望的。

因此人们希望对流动进行控制，以达到所期望的目的。

电磁力控制被认为最具潜力的三种主动控制方法之一，因其控制方法可适应各种工程实际条件而被广泛关注[1—3]。

Gailitis等[4]是较早利用电磁力进行流动控制研究的学者，他利用交错排布的电极和磁极制作了一个电磁激活板，对边界层的湍流转捩进行控制，发现电磁力可延缓湍流转捩，并可减小边界层厚度，减小阻力。