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IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics

作者： Hu, Xiaolin Ganapathy, Narayanaswami Zeigler, Bernard P. Computer Science Department Georgia State University Atlanta GA United States Arizona Center for Integrative Modeling and Simulation University of Arizona Tucson AZ United States

This paper presents the results of applying an incremental simulation-based design process to study a robotic convoy system. Robot-in-the-loop simulation, as a major step in this process, allows the system to be measured with combined robot models and real robots. This capability effectively bridges the gap between conventional simulation where models are used and real system experiment where real robots are used. For each step in this incremental process, the simulation/experiment setup is described. The measurement data are then presented and compared. These experiments and results demonstrate the capabilities of robot-in-the-loop simulation and justify the effectiveness of using the incremental simulation-based design process. © 2005 IEEE.

关键词： Robots

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DEVS modeling and simulation: A new layer of middleware 3

DEVS modeling and simulation: A new layer of middleware

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3rd Annual International Workshop on Active Middleware Services, AMS 2001

作者： Zeigler, B.P. Sarjoughian, H.S. Park, Sunwoo Nutaro, J.J. Lee, J.S. Cho, Y.K. Arizona Center for Integrative Modeling and Simulation Electrical and Computer Engineering Department University of Arizona TucsonAZ85721-0104 United States Raytheon Missile Systems TucsonAZ United States

ISBN: (纸本)0769515282

This paper discusses a concept of DEVS middleware that would provide a set of services for constructing discrete event models and executing them in simulation or in real-time. Although generic middleware such as CORBA and MPI supports simulation and simulation-oriented middleware such as High Level Architecture Runtime Infrastructure exists, there are many issues that either not addressed at all or have been inadequately addressed in existing systems. DEVS Middleware would improve modeling and simulations due to the beneficial formal properties of DEVS, enhance interoperability among components adhering to the DEVS protocol, and reduce programming complexity by hiding lower level simulation and execution details. The DEVS Middleware concept includes components for model construction and for mapping models onto simulators or real-time execution engines to support the novel concept of "distributed programming by modeling." This paper discusses several sub-layers that have been identified within the overall DEVS middleware concept, existing work that can be brought to bear on developing these layers and the integration needed to create a widely accepted standard. © 2001 IEEE.

关键词： Middleware

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CoSMoS: A visual environment for component-based modeling, experimental design, and simulation 2

CoSMoS: A visual environment for component-based modeling, e...

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2nd International ICST Conference on simulation Tools and Techniques, SIMUTools 2009

作者： Sarjoughian, Hessam S. Elamvazhuthi, Vignesh Arizona Center for Integrative Modeling and Simulation Computer Science Engineering Department Arizona State University TempeAZ85281-8809 United States Content Management and Archiving EMC Corporation PleasantonCA94566 United States

ISBN: (纸本)9789639799455

An integrated modeling and simulation tool called Componentbased System Modeler and Simulator (CoSMoS) is developed. It supports visual development of families of models that have well-defined logical specifications. The logical componentbased models persist in relational databases and may be automatically translated into specific target simulation and markup programming languages. The underlying systemtheoretic modeling framework of CoSMoS lends itself for the well-known discrete-time, continuous, and discrete-event modeling approaches. Currently, CoSMoS supports developing parallel DEVS-compliant models which can be executed using the DEVS-Suite simulator. The underlying process lifecycle of the CoSMoS enables systematic transitioning from visual model development and design of experiments to simulation execution and experimentation. simulation data can be used for run-time animation and viewing of time-based trajectories or exported for post processing. This tool helps to simplify simulation-based system design, verification, and validation. The core capabilities of the CoSMoS are exemplified with a conceptual model of an anti-virus network software system.

关键词： Viruses

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Integrating fire suppression into a DEVS cellular forest fire spread model

Integrating fire suppression into a DEVS cellular forest fir...

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1st DEVS integrative M and S Symposium, DEVS 2005, Part of the 2005 Spring simulation Multiconference, SpringSim 2005

作者： Ntaimo, Lewis Zeigler, Bernard P. Department of Industrial Engineering Texas A and M University College Station TX 77843 United States Department of Electrical and Computer Engineering Arizona Center for Integrative Modeling and Simulation University of Arizona Tucson AZ 85721 United States

This paper deals with modeling and simulation of surface forest fire spread and suppression using the discrete event system specification (DEVS) cellspace approach. The event-based modeling approach allows for timely simulation-based predictions of forest, fire spread and suppression in uniform and non-uniform environmental conditions. This paper proposes a conceptual model for a coupled forest cell model comprising of a forest cell agent atomic model and a forest cell atomic model The forest cell agent atomic model will allow for modeling and simulation of more complex fire suppression strategies to control fire spread. The proposed basic model provides an advance toward developing a real-time or fast-as-can decision support simulation system for predicting forest fire spread and the effects of fire suppression attempts.

关键词： Cells

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DEVS/RMI-A dynamic and flexible distributed simulation environment

DEVS/RMI-A dynamic and flexible distributed simulation envir...

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2nd DEVS integrative M and S Symposium, DEVS 2006, Part of the 2006 Spring simulation Multiconference, SpringSim 2006

作者： Zhang, Ming Zeigler, Bernard P. Hammonds, Phillip Raj, Jammalamadaka Department of Electrical and Computer Engineering Arizona Center of Integrative Modeling and Simulation University of Arizona Tucson AZ 85721 United States Joint Interoperability Test Command Fort Huachuca AZ United States

With the increased demand for distributed simulation environments to support large-scale modeling and simulation applications, much research has focused 011 developing a software environment to support simulation across a heterogeneous computing networks. I11 this paper, a new implementation of the DEVS formalism called DEVS/RMI system is presented as a natively distributed simulation system based 011 standard implementation of DEVS. Our objective is to distribute simulation entities across network nodes seamlessly without any of the commonly used middleware. The proposed DEVS/RMI system is also built to support autonomous, dynamic and adaptive reconfiguration of simulations during run-time. In general, the DEVS/RMI approach is well suited for complex, computationally intensive simulation applications, and it provides an flexible and efficient software development environment for rapid development of simulation applications in a heterogeneous network environment when compared with other more traditional high performance simulation packages using MPI or PVM. A test case of a large-scale dynamic 2D-Cell space model is discussed and presented in this paper.

关键词： Middleware

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Ontology methodology based context awareness using system entity structure for network analysis

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2nd KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2008

作者： Kim, Taekyu Han, Young-Shin Kim, Tae-Young Lee, Jong-Sik Arizona Center for Integrative Modeling and Simulation Electrical and Computer Engineering Department University of Arizona Tucson AZ 85721 United States School of Engineering Inha University 253 Yonghyun-Dong Nam -Gu Incheon 402-751 Korea Republic of

ISBN: (纸本)3540785817

Currently network uses, especially the number of internet users, increase rapidly. Also, high quality of service is required and this requirement results a sudden network traffic increment. As a result, an efficient management system for huge network traffic becomes an important issue. Ontology/data engineering based context awareness using the System Entity Structure (SES) concepts enables network administrators to access traffic data easily and efficiently. The network traffic analysis system, which is studied in this paper, is an effective management system with a high throughput and a low response time designed and implemented based on a model and simulation based data engineering methodology. Extensible Markup Language (XML) is used for metadata language in this system. The information which is extracted from the network traffic analysis system could be modeled and simulated in Discrete Event simulation (DEVS) methodology for further works such as post simulation evaluation, web services, and etc. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Ontology

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ENIGMA-Meditation: Worldwide Consortium for Neuroscientific Investigations of Meditation Practices

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Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2025年第4期10卷 425-436页

作者： Ganesan, Saampras Barrios, Fernando A. Batta, Ishaan Bauer, Clemens C.C. Braver, Todd S. Brewer, Judson A. Brown, Kirk Warren Cahn, Rael Cain, Joshua A. Calhoun, Vince D. Cao, Lei Chetelat, Gaël Ching, Christopher R.K. Creswell, J. David Dagnino, Paulina Clara Davanger, Svend Davidson, Richard J. Deco, Gustavo Dutcher, Janine M. Escrichs, Anira Eyler, Lisa T. Fani, Negar Farb, Norman A.S. Fialoke, Suruchi Fresco, David M. Garg, Rahul Garland, Eric L. Goldin, Philippe Hafeman, Danella M. Jahanshad, Neda Kang, Yoona Khalsa, Sahib S. Kirlic, Namik Lazar, Sara W. Lutz, Antoine McDermott, Timothy J. Pagnoni, Giuseppe Piguet, Camille Prakash, Ruchika S. Rahrig, Hadley Reggente, Nicco Saccaro, Luigi F. Sacchet, Matthew D. Siegle, Greg J. Tang, Yi-Yuan Thomopoulos, Sophia I. Thompson, Paul M. Torske, Alyssa Treves, Isaac N. Tripathi, Vaibhav Tsuchiyagaito, Aki Turner, Matthew D. Vago, David R. Valk, Sofie Zeidan, Fadel Zalesky, Andrew Turner, Jessica A. King, Anthony P. Department of Biomedical Engineering The University of Melbourne Carlton VIC Australia Contemplative Studies Centre Melbourne School of Psychological Sciences The University of Melbourne Melbourne VIC Australia Systems Lab of Neuroscience Neuropsychiatry and Neuroengineering The University of Melbourne Parkville VIC Australia Universidad Nacional Autónoma de México Instituto de Neurobiolgía México Querétaro Mexico Center for Translational Research in Neuroimaging and Data Science: Georgia State University Georgia Institute of Technology and Emory University Atlanta GA United States Department of Psychology Northeastern University Boston Massachusetts Brain and Cognitive Science McGovern Institute for Brain Research Massachusetts Institute of Technology Cambridge Massachusetts Department of Psychological and Brain Sciences Washington University St. Louis Missouri Department of Behavioral and Social Sciences Brown University School of Public Health Providence Rhode Island Department of Psychology Carnegie Mellon University Pittsburgh PA United States University of Southern California Department of Psychiatry & Behavioral Sciences Los Angeles California University of Southern California Center for Mindfulness Science Los Angeles California Institute for Advanced Consciousness Studies Santa Monica California Department of Psychiatry and Behavioral Health The Ohio State University College of Medicine Columbus OH United States Normandie University Université de Caen Normandie INSERM U1237 Neuropresage Team Cyceron Caen France Imaging Genetics Center Mark and Mary Stevens Neuroimaging and Informatics Institute Keck School of Medicine of the University of Southern California Los Angeles California Desert-Pacific Mental Illness Research Education and Clinical Center VA San Diego Healthcare System San Diego California Computational Neuroscience Group Center for Brain and Cognition Department of Information and Communication Technologies Universitat Pompeu Fa

Meditation is a family of ancient and contemporary contemplative mind-body practices that can modulate psychological processes, awareness, and mental states. Over the last 40 years, clinical science has manualized meditation practices and designed various meditation interventions that have shown therapeutic efficacy for disorders including depression, pain, addiction, and anxiety. Over the past decade, neuroimaging has been used to examine the neuroscientific basis of meditation practices, effects, states, and outcomes for clinical and nonclinical populations. However, the generalizability and replicability of current neuroscientific models of meditation have not yet been established, because they are largely based on small datasets entrenched with heterogeneity along several domains of meditation (e.g., practice types, meditation experience, clinical disorder targeted), experimental design, and neuroimaging methods (e.g., preprocessing, analysis, task-based, resting-state, structural magnetic resonance imaging). These limitations have precluded a nuanced and rigorous neuroscientific phenotyping of meditation practices and their potential benefits. Here, we present ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis)–Meditation, the first worldwide collaborative consortium for neuroscientific investigations of meditation practices. ENIGMA-Meditation will enable systematic meta- and mega-analyses of globally distributed neuroimaging datasets of meditation using shared, standardized neuroimaging methods and tools to improve statistical power and generalizability. Through this powerful collaborative framework, existing neuroscientific accounts of meditation practices can be extended to generate novel and rigorous neuroscientific insights that account for multidomain heterogeneity. ENIGMA-Meditation will inform neuroscientific mechanisms that underlie therapeutic action of meditation practices on psychological and cognitive attributes, thereby advancing the f

关键词： Consortium ENIGMA Magnetic resonance imaging (MRI) Meditation Mindfulness Neuroimaging

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Network traffic analysis system based on data engineering methodology using system entity structure

Network traffic analysis system based on data engineering me...

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2nd International Conference on Convergent Information Technology, ICCIT 07

作者： Kim, Taekyu Han, Youngshin Cheon, Saehoon Zeigler, Bernard P. Arizona Center for Integrative Modeling and Simulation Electrical and Computer Engineering Department University of Arizona Tucson AZ 85721 United States School of Engineering Inha University 253 Yonghyun-Dong Nam -Gu Incheon 402-751 Korea Republic of

ISBN: (纸本)0769530389

Currently network uses, especially the number of internet users, increase rapidly. Also, high quality of service is required and this requirement results a sudden network traffic increment. As a result, an efficient management system for huge network traffic becomes an important issue. The System Entity Structure (SES) using data engineering concepts enables network administrators to access traffic data easily and efficiently. The network traffic analysis system, which is studied in this paper, is an effective management system with a high throughput and a low response time designed and implemented based on a model and simulation based data engineering methodology. Extensible Markup Language (XML) is used for metadata language in this system. © 2007 IEEE.

关键词： XML

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DEVS/NS-2 Environment;Integrated tool for efficient networks modeling and simulation

DEVS/NS-2 Environment;Integrated tool for efficient networks...

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3rd DEVS integrative M and S Symposium, DEVS 2007, Part of the 2007 Spring simulation Multiconference, SpringSim 2007

作者： Kim, Taekyu Hwang, Moon Ho Kim, Doohwan Zeigler, Bernard P. Electrical and Computer Engineering Department Arizona Center for Integrative Modeling and Simulation University of Arizona Tucson AZ 85721 United States RTSync Corp. 4731 E Southern Ave Phoenix AZ 85042 United States

DEVS/NS-2 is a new integrated network simulation tool that provides efficient high and low level network modeling capabilities. DEVS (Discrete Event System Specification) serves as a base framework to support well-defined mathematical formalism specification for structure and behavior of dynamic systems. The NS-2 is a discrete event network simulator, whose primary use is intended to build and run various detailed network models and protocols. The interoperable simulation of the two powerful modeling and simulation systems, DEVS and NS-2, allows to attain significant benefits in terms of reduction of the cost, increased high and low level networks modeling power, and enhanced reusability.

关键词： Wireless sensor networks

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DEVS/NS-2 environment;Integrated tool for efficient networks modeling and simulation

DEVS/NS-2 environment;Integrated tool for efficient networks...

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2007 Agent Directed simulation Symposium, ADS 2007

作者： Kim, Taekyu Hwang, Moon Ho Kim, Doohwan Zeigler, Bernard P. Arizona Center for Integrative Modeling and Simulation Electrical and Computer Engineering Department University of Arizona TucsonAZ85721 United States RTSync Corp. 4731 E Southern Ave. PhoenixAZ85042 United States

ISBN: (纸本)1565553136

关键词： Wireless sensor networks

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