Academic literature on the topic 'Event Driven Simulation'

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Journal articles on the topic "Event Driven Simulation"

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González, Daniel Huertas, and Alfonso Rojas Espinosa. "Simulation of Cell Signaling Communications Using Event-Driven Algorithms." International Journal of Computer Theory and Engineering 6, no. 4 (2014): 307–12. http://dx.doi.org/10.7763/ijcte.2014.v6.880.

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Phillips, C. I., and L. G. Cuthbert. "Concurrent discrete event-driven simulation tools." IEEE Journal on Selected Areas in Communications 9, no. 3 (1991): 477–85. http://dx.doi.org/10.1109/49.76647.

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Kesaraju, V. S., and F. W. Ciarallo. "Integrated simulation combining process-driven and event-driven models." Journal of Simulation 6, no. 1 (2012): 9–20. http://dx.doi.org/10.1057/jos.2010.27.

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Reutimann, Jan, Michele Giugliano, and Stefano Fusi. "Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics." Neural Computation 15, no. 4 (2003): 811–30. http://dx.doi.org/10.1162/08997660360581912.

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We present a new technique, based on a proposed event-based strategy (Mattia & Del Giudice, 2000), for efficiently simulating large networks of simple model neurons. The strategy was based on the fact that interactions among neurons occur by means of events that are well localized in time (the action potentials) and relatively rare. In the interval between two of these events, the state variables associated with a model neuron or a synapse evolved deterministically and in a predictable way. Here, we extend the event-driven simulation strategy to the case in which the dynamics of the state variables in the inter-event intervals are stochastic. This extension captures both the situation in which the simulated neurons are inherently noisy and the case in which they are embedded in a very large network and receive a huge number of random synaptic inputs. We show how to effectively include the impact of large background populations into neuronal dynamics by means of the numerical evaluation of the statistical properties of single-model neurons under random current injection. The new simulation strategy allows the study of networks of interacting neurons with an arbitrary number of external afferents and inherent stochastic dynamics.
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Kim, Seongseop, Jeonghun Cho, and Daejin Park. "Accelerated DEVS Simulation Using Collaborative Computation on Multi-Cores and GPUs for Fire-Spreading IoT Sensing Applications." Applied Sciences 8, no. 9 (2018): 1466. http://dx.doi.org/10.3390/app8091466.

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Discrete event system specification (DEVS) has been widely used in event-driven simulations for sensor-driven Internet of things (IoT) applications, such as monitoring the spread of fire disaster. Event-driven models for IoT sensor nodes and their communication is described in DEVS and they have to be integrated with continuous models of fire-spreading dynamics so that the hybrid system modeling and simulation approach have to be considered for both continuous behavior of fire-spreading and event-driven communications by large-scale IoT sensor devices. The hybrid-integrated modelling and simulation for fire-spreading in wide area and large-scale IoT devices result in more complex model evaluation, including simulation time synchronization, so that simulation acceleration is important by considering scalability in large-scale IoT-driven applications that sense fire-spreading. In this study, we proposed a scalable simulation acceleration of a DEVS-based hybrid system using heterogeneous architecture based on multi-cores and graphic processing units (GPUs). We evaluated the power consumption comparison of the proposed accelerated-simulation approach in terms of the composition of the event-driven IoT models and continuous fire-spreading models, which are tightly described in differential equations across a large number of cellular models. The demonstrated result shows that the full utilization of CPU-GPU integrated computing resources, on which event-driven models and continuous models are efficiently deployed and optimally distributed, could enable an advantage for high-performance simulation speedup in terms of execution time, although more power consumption is required, but the total energy consumption could be reduced due to fast simulation time.
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Ros, Eduardo, Richard Carrillo, Eva M. Ortigosa, Boris Barbour, and Rodrigo Agís. "Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics." Neural Computation 18, no. 12 (2006): 2959–93. http://dx.doi.org/10.1162/neco.2006.18.12.2959.

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Nearly all neuronal information processing and interneuronal communication in the brain involves action potentials, or spikes, which drive the short-term synaptic dynamics of neurons, but also their long-term dynamics, via synaptic plasticity. In many brain structures, action potential activity is considered to be sparse. This sparseness of activity has been exploited to reduce the computational cost of large-scale network simulations, through the development of event-driven simulation schemes. However, existing event-driven simulations schemes use extremely simplified neuronal models. Here, we implement and evaluate critically an event-driven algorithm (ED-LUT) that uses precalculated look-up tables to characterize synaptic and neuronal dynamics. This approach enables the use of more complex (and realistic) neuronal models or data in representing the neurons, while retaining the advantage of high-speed simulation. We demonstrate the method's application for neurons containing exponential synaptic conductances, thereby implementing shunting inhibition, a phenomenon that is critical to cellular computation. We also introduce an improved two-stage event-queue algorithm, which allows the simulations to scale efficiently to highly connected networks with arbitrary propagation delays. Finally, the scheme readily accommodates implementation of synaptic plasticity mechanisms that depend on spike timing, enabling future simulations to explore issues of long-term learning and adaptation in large-scale networks.
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Dusung Kim, M. Ciesielski, and Seiyang Yang. "MULTES: Multilevel Temporal-Parallel Event-Driven Simulation." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 32, no. 6 (2013): 845–57. http://dx.doi.org/10.1109/tcad.2013.2237769.

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Rapaport, Dennis C. "The Event-Driven Approach toN-Body Simulation." Progress of Theoretical Physics Supplement 178 (2009): 5–14. http://dx.doi.org/10.1143/ptps.178.5.

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Tsoi, Kuen Hung, Tobias Becker, and Wayne Luk. "Modelling reconfigurable systems in event driven simulation." ACM SIGARCH Computer Architecture News 40, no. 5 (2012): 34–39. http://dx.doi.org/10.1145/2460216.2460223.

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Carrillo, Richard R., Eduardo Ros, Silvia Tolu, Thierry Nieus, and Egidio D’Angelo. "Event-driven simulation of cerebellar granule cells." Biosystems 94, no. 1-2 (2008): 10–17. http://dx.doi.org/10.1016/j.biosystems.2008.05.007.

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Dissertations / Theses on the topic "Event Driven Simulation"

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Smart, Colin. "Demand-driven, concurrent discrete event simulation." Thesis, University of Edinburgh, 2001. http://hdl.handle.net/1842/12973.

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The simulation of complex systems can consume vast amounts of computing power. In common with other disciplines faced with complex systems, simulationists have approached the management of complexity from two angles; sub-system evaluation and hierarchical evaluation. Sub-system evaluation attempts to determine the global behaviour by determining the local behaviour and then joining these behaviours together. Hierarchical simulation tries to reduce the detail in the system in areas which are less critical to the model. Demand driven evaluation provides a coherent approach to the problem of simulating large systems at different levels of abstraction, at a cost comparable to data-driven evaluation. A model for both data and demand driven evaluation is described which captures the total communication and computation load for each node in the system. The runtime dynamics of each system is investigated with particular emphasis on the relation between the costs of generating and transmitting an event. The ability of demand driven evaluation to simulate a system at a number of different levels of abstraction during a single run is also investigated and results presented which show the efficacy of such a hierarchical system.
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Kesaraju, Vishnu Sharma. "An Integrated Simulation Environment Combining Process-Driven and Event-Driven Models." Wright State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=wright1238779995.

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Au, Grace. "A graphics driven approach to discrete event simulation." Thesis, London School of Economics and Political Science (University of London), 1990. http://etheses.lse.ac.uk/1226/.

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This thesis investigates the potential of computer graphics in providing for a graphics driven specification system that gives sufficient structure and content to form the simulation model itself. The nature of discrete event simulation modelling, the diagramming method of activity cycle diagrams which underpinned this research, the three phase simulation model structure, and the trend of visual simulation modelling are discussed as the basis for the research. Some current existing simulation languages and packages are reviewed, which gives insight into the essential features of an ideal computer simulation environment. The basic research method adopted was to build systems that exemplified the state of thinking at the time. The purpose of this method was to enable ideas to be developed, discarded and enhanced, and for new ideas to emerge. The research has undergone a series of application developments on the Apple Macintosh to examine the advantages and limitations of such systems. The first system developed during the research, MacACD, provides the basis for proposals concerning the enhancement of the ACD diagramming method in a computer-aided environment. However, MacACD demonstrated the limitations of an ACD interface and the need for a more flexible specification system. HyperSim, a simulation system developed using HyperCard, has all the power of interconnectivity demonstrated as a need by MacACD, but has severe limitations both in terms of security of system development, and an inability to provide a running model directly due to lack of speed. However, the power of an icon-based interconnected textual and diagrammatic based system were demonstrated by the construction of this system during this research, and led to the development of the final system described in this thesis : MacGraSE. The development of this system during this research incorporates many innovations. The main input device is a picture representing the problem, including a background display. This system allows for dynamic icon based visual model running, as well as code generation for complete model embellishments, interactive report writing, and representational graphics outputs.
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Alt, Aaron J. "Profile Driven Partitioning Of Parallel Simulation Models." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1407406955.

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Malik, Mandvi. "Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535026715457659.

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Plachetka, Tomáš. "Event-driven message passing and parallel simulation of global illumination." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=971711739.

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Chen, Min. "A distributed object-oriented discrete event-driven simulation environment-DODESE." FIU Digital Commons, 1991. http://digitalcommons.fiu.edu/etd/2140.

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A new distributed object-oriented discrete event-driven simulation environment, DODESE, is developed to provide a common framework for simulation model design and implementation. The DODESE can be used to define a simulation including all the simulation objects participating in the simulation while the execution of the simulation can be interactively monitored on DODESE. The DODESE system has combined the strengths of both object-oriented paradigms and data base technology to make computer simulation more powerful and has achieved the goals of object-orientation, distribution, reusability, maintainability and extensibility. The system runs on two Sun workstations concurrently connected by an Ethernet. One of the workstations performs the simulation tasks while the other workstation displays the status of the simulation interactively. Both workstations communicate through the GemStone data base, thus a mechanism is designed for synchronization and concurrency control. The DODESE is implemented using OPAL, GemStone’s data definition and manipulation language, C and Xlib.
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Barahona, Javier. "Simulation and Optimization of Mechanical Alloying Using the Event-Driven Method." Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/20458.

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Mechanical Alloying is a manufacturing process that produces alloys by cold welding of powders. Usually, a vial containing both the powder and steel balls is agitated. Due to impact between the balls and balls and the vial, the powder is mechanically deformed, crushed, and mixed at nano-scales. In this thesis, a numerical model is developed to simulate the dynamics of the vial and the grinding balls of the SPEX 8000 ball milling device, a standardized equipment in both industrial and academic investigations of ball milling. The numerical model is based on the Event Driven Method, typically used to model granular flows. The method implemented is more efficient than the discrete element method used previously to study ball milling dynamics. The numerical tool obtained is useful for scale-up and optimization of mechanical alloying of various materials. An optimization study is presented for the SPEX 8000.
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Claverol, Enric T. "An event-driven approach to biologically realistic simulation of neural aggregates." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324818.

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Miclo, Romain. "Challenging the "Demand Driven MRP" Promises : a Discrete Event Simulation Approach." Thesis, Ecole nationale des Mines d'Albi-Carmaux, 2016. http://www.theses.fr/2016EMAC0016/document.

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Les principaux enjeux des supply chain d’aujourd’hui concernent l’adaptation à des environnements instables. Demand Driven Material Requirements Planning (DDMRP) est une méthode récente et prometteuse de gestion des flux qui a été conçue pour faire face aux problématiques actuelles. Le travail de recherche réalisé détaille et positionne DDMRP par rapport aux autres méthodes connues de pilotage de flux. Le but de ce travail est de challenger les principales promesses de DDMRP. Pour cela, un plan d’expériences a été réalisé sur un cas d’étude pour évaluer le comportement de MRP II, Kanban et DDMRP face à différentes sources de variabilité. Le dimensionnement des buffers DDMRP est un sujet majeur pour la méthode. Il a été traité sur un cas d’étude avec un travail d’optimisation. Toutes les contributions ont été expérimentées avec l’implémentation de DDMRP sur un cas réel. La thèse permet ainsi de valider certains atouts de DDMRP, tels que l’adaptation du système à différentes formes de variabilités, mais elle permet également de souligner des perspectives majeures de recherche sur ce sujet<br>The main Supply Chain current issues concern the adaptation to unstable environments. Demand Driven Material Requirements Planning (DDMRP) is a recent and promising material management method that is designed to tackle these current issues. The research work details and classifies DDMRP compared to the other material management methods known. The goal of this work is to challenge the main DDMRP promises. This is why a design of experiments was realised on a case study in order to assess MRP II, Kanban and DDMRP behaviours with different variability sources. The DDMRP buffer sizing is a major issue. It was dealt with an optimisation work on a case study. All the contributions were experimented with a DDMRP implementation on a real case. The research work enables several DDMRP advantages to be validated, such as the system adjustment to different variability sources, however this work also allows research perspectives to be underlined
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Books on the topic "Event Driven Simulation"

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A, Chien Steve, Charest Leonard, and Jet Propulsion Laboratory (U.S.), eds. Event-driven simulation in SELMON: An overview of EDSE. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1992.

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A, Chien Steve, Charest Leonard, and Jet Propulsion Laboratory (U.S.), eds. Event-driven simulation in SELMON: An overview of EDSE. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1992.

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A, Chien Steve, Charest Leonard, and Jet Propulsion Laboratory (U.S.), eds. Event-driven simulation in SELMON: An overview of EDSE. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1992.

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Parlakbilek, Ahmet N. Multiple strength and multiple delay techniques for compiled code event driven logic simulation. National Library of Canada = Bibliothèque nationale du Canada, 1993.

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Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee.&#x0D; The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledge base bipartite oriented mivar nets, including analysis formulas braking qualities of the vehicle, determining the speed of a car's performance in terms of specific DTS, the formula for calculating different occasions: - slip car when braking, driving on curved sections of the road, hitting a car on the pedestrian in uniform motion and unlimited visibility; a method of generation of interfaces for designer expert systems based on the concept of mivar approach; special software in the form of expert systems "Analysis of road accident" in order to reduce the complexity of the process of calculating the disputed accidents, errors in the calculation and improve the accuracy and objectivity of the results obtained and the speed and quality of the calculations.&#x0D; It can be useful to specialists of expert institutions, insurance companies, educational institutions in the field of expertise, as well as unmanned vehicles in terms of objective analysis and examination of road accidents.
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Optimization under Uncertainty with Applications in Data-driven Stochastic Simulation and Rare-event Estimation. [publisher not identified], 2022.

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Yeung, Kam Shuen *. An interpolation based event-driven circuit simulator for MOS digital circuits. 1989.

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Allen, Michael P., and Dominic J. Tildesley. Molecular dynamics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0003.

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This chapter introduces the classical equations of motion for a system of molecules, and describes their solution by stable, accurate, time-stepping algorithms. Simple atomic systems, rigid molecules, and flexible molecules with and without constraints, are treated, with examples of program code. Quaternions are introduced as useful parameters for solving the rigid-body equations of motion of molecules. A simple example of a multiple timestep algorithm is given, and there is a brief summary of event-driven (hard-particle) dynamics. Examples of constant-temperature molecular dynamics using stochastic and deterministic methods are presented, and the corresponding constant-pressure molecular dynamics methods for fixed and variable box-shape are described. The molecular dynamics method is extended to the treatment of polarizable systems, and dynamical simulation of the grand canonical ensemble is mentioned.
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LAND.TECHNIK 2020. VDI Verlag, 2020. http://dx.doi.org/10.51202/9783181023747.

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Electrical Systems Sustainable Agriculture in an Electrifed World – Cradle-to-Grave evaluation of different propulsion systems 1 Understanding the opportunities and challenges of self-driving, electric feld tractors using dynamic discrete-event simulation 9 Design and analysis of a magnetic-electrical power split gearbox for application in an agricultural vehicle 17 Development of a 3-speed gearbox in electric powertrain – Ground drive transmission for a commercial vehicle 23 Data Management Farmers’ expectations in Precision Farming Technologies – Transfarm 40 online survey 2019 31 Cyber Threats and Cyber Risks in Smart Farming 37 Automatic logging and situation-related evaluation of manufacturer independent machine data 47 Data insight and expert knowledge combined to maximize uptime 55 … ...
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Nimchinski, Julia, and Justin Michael. Reinventing Virtual Events: How to Turn Ghost Webinars into Hybrid Go-To-Market Simulations That Drive Explosive Attendance. Wiley & Sons, Incorporated, John, 2022.

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Book chapters on the topic "Event Driven Simulation"

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Meyer, Ruth. "Event-Driven Multi-agent Simulation." In Multi-Agent-Based Simulation XV. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14627-0_1.

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Chraibi, Mohcine, and Armin Seyfried. "Pedestrian Dynamics with Event-Driven Simulation." In Pedestrian and Evacuation Dynamics 2008. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04504-2_69.

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Feldman, Richard M., and Ciriaco Valdez-Flores. "Event-Driven Simulation and Output Analyses." In Applied Probability and Stochastic Processes. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05158-6_9.

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Kupriyanov, Alexey, Frank Hannig, and Jürgen Teich. "High-Speed Event-Driven RTL Compiled Simulation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27776-7_53.

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Redlich, David, and Wasif Gilani. "Event-Driven Process-Centric Performance Prediction via Simulation." In Business Process Management Workshops. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28108-2_46.

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Bumble, Marc, and Lee Coraor. "Implementing parallelism in random discrete event-driven simulation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64359-1_716.

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Abdel-Baki, Nashwa, and Hans Peter Großmann. "Simulation and Development of Event-Driven Multimedia Session." In Advances in Multimedia Information Processing - PCM 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30542-2_55.

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Ping, Duan. "The Simulated Performance of a Real-Time Interprocessor Synchronization Algorithm Based on Event-Driven Method." In Advances in Simulation. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-6389-7_73.

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Maśko, Łukasz, and Marek Tudruj. "Global State Monitoring in Optimization of Parallel Event–Driven Simulation." In Parallel Processing and Applied Mathematics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78024-5_42.

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Garrido, Jesus A., Richard R. Carrillo, Niceto R. Luque, and Eduardo Ros. "Event and Time Driven Hybrid Simulation of Spiking Neural Networks." In Advances in Computational Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21501-8_69.

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Conference papers on the topic "Event Driven Simulation"

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Li, Hao, Yingjun Deng, Shucheng Gao, Xiaopeng Li, Nan Zhang, and Cong Liang. "Accelerating Event-Driven Simulation for Dynamic Risk Analysis: A Dynamic Event Tree Method." In 2023 14th International Conference on Reliability, Maintainability and Safety (ICRMS). IEEE, 2023. http://dx.doi.org/10.1109/icrms59672.2023.00177.

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Marotta, Romolo, and Alessandro Pellegrini. "Model-Driven Engineering for High-Performance Parallel Discrete Event Simulations on Heterogeneous Architectures." In 2024 Winter Simulation Conference (WSC). IEEE, 2024. https://doi.org/10.1109/wsc63780.2024.10838978.

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Song, Hyewon, and Moonyoung Chung. "Event-driven Rerouting Framework for Agent Behavior in Urban Traffic Simulation." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825594.

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Tsai, Wei-Tek, Wu Li, Xin Sun, Ashutosh Sabnis, and Yinong Chen. "Event-driven service-oriented simulation framework." In the 2010 Spring Simulation Multiconference. ACM Press, 2010. http://dx.doi.org/10.1145/1878537.1878720.

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Krishnaswamy, V., and P. Banerjee. "Parallel compiled event driven VHDL simulation." In the 12th international conference. ACM Press, 1998. http://dx.doi.org/10.1145/277830.277901.

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Clark, Tony, and Balbir S. Barn. "Event driven architecture modelling and simulation." In 2011 IEEE 6th International Symposium on Service Oriented System Engineering (SOSE). IEEE, 2011. http://dx.doi.org/10.1109/sose.2011.6139091.

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Donev, Aleksandar. "Asynchronous Event-Driven Particle Algorithms." In 21st International Workshop on Principles of Advanced and Distributed Simulation. IEEE, 2007. http://dx.doi.org/10.1109/pads.2007.15.

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Nguyen and Devgan. "State transformation in event driven explicit simulation." In Proceedings of IEEE International Conference on Computer Aided Design (ICCAD). IEEE, 1997. http://dx.doi.org/10.1109/iccad.1997.643533.

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Joeres, Stefan, Hans-Werner Groh, and Stefan Heinen. "Event driven analog modeling of RF frontends." In 2007 IEEE International Behavioral Modeling and Simulation Workshop. IEEE, 2007. http://dx.doi.org/10.1109/bmas.2007.4437523.

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Tsai, W. T., Xinyu Zhou, and Yinong Chen. "SOA Simulation and Verification by Event-Driven Policy Enforcement." In 2008 41st Annual Simulation Symposium ANSS. IEEE, 2008. http://dx.doi.org/10.1109/anss-41.2008.30.

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Reports on the topic "Event Driven Simulation"

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Holliday, Mary R. Methodology of an Event-Driven Monte Carlo Missile Simulation. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada601300.

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Ramos-Santiago, Efrain, Norberto Nadal-Caraballo, Fabian Garcia-Moreno, et al. Statistical analysis of storm surge and seiche hazards for Lake Erie. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48590.

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Storm surge and seiche events are generally forced by severe storms, initially resulting in a wind-driven super elevation of water level on one or more sides of a lake (surge) followed by a rebound and periodic oscillation of water levels between opposing sides of the lake (seiche). These events have caused flooding along Lake Erie and significant damages to coastal communities and infrastructure. This study builds upon statistical analysis methods initially developed for the 2012 federal interagency Great Lakes Coastal Flood Study. Using the Coastal Hazards System's stochastic Storm Simulation (StormSim) suite of tools, including the Probabilistic Simulation Technique (PST), and regional frequency model, historical extreme events were assessed in a local frequency analysis and a regional frequency analysis to quantify the annual exceedance frequency (AEF) of WLD events specific to Lake Erie. The objective of this study was to quantify AEFs of storm surge and seiche hazards to provide a better understanding of these events to aid flood mitigation and risk reduction for lakeside properties.
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Carothers, Christopher. Final Report: Supporting Co-Design of Extreme-Scale Systems with In Situ Visual Analysis of Event-Driven Simulations. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1740003.

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Wilson, D., Michael Shaw, Vladimir Ostashev, et al. Numerical modeling of mesoscale infrasound propagation in the Arctic. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45788.

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The impacts of characteristic weather events and seasonal patterns on infrasound propagation in the Arctic region are simulated numerically. The methodology utilizes wide-angle parabolic equation methods for a windy atmosphere with inputs provided by radiosonde observations and a high-resolution reanalysis of Arctic weather. The calculations involve horizontal distances up to 200 km for which interactions with the troposphere and lower stratosphere dominate. Among the events examined are two sudden stratospheric warmings, which are found to weaken upward refraction by temperature gradients while creating strongly asymmetric refraction from disturbances to the circumpolar winds. Also examined are polar low events, which are found to enhance negative temperature gradients in the troposphere and thus lead to strong upward refraction. Smaller-scale and topographically driven phenomena, such as low-level jets, katabatic winds, and surface-based temperature inversions, are found to create frequent surface-based ducting out to 100 km. The simulations suggest that horizontal variations in the atmospheric profiles, in response to changing topography and surface property transitions, such as ice boundaries, play an important role in the propagation.
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Wang, Shenlong, and David Forsyth. Safely Test Autonomous Vehicles with Augmented Reality. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-015.

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This work exploits augmented reality to safely train and validate autonomous vehicles’ performance in the real world under safety-critical scenarios. Toward this goal, we first develop algorithms that create virtual traffic participants with risky behaviors and seamlessly insert the virtual events into real images perceived from the physical world. The resulting composed images are photorealistic and physically grounded. The manipulated images are fed into the autonomous vehicle during testing, allowing the self-driving vehicle to react to such virtual events within either a photorealistic simulator or a real-world test track and real hardware systems. Our presented technique allows us to develop safe, hardware-in-the-loop, and cost-effective tests for self-driving cars to respond to immersive safety-critical traffic scenarios.
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Kanninen, M. F. L51718 Development and Validation of a Ductile Fracture Analysis Model. Pipeline Research Council International, Inc. (PRCI), 1994. http://dx.doi.org/10.55274/r0010321.

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In close cooperation with the Centro Sviluppo Materiali (CSM) and SNAM of Italy, with several years of support from the PRCI NG-18 committee, the Southwest Research Institute (SwRI) has developed and validated a "first principles" predictive model for ductile fracture in a gas transmission pipeline. In particular, the coordinated SwRI and CSM projects for the PRC -supplemented by work contributed by SNAM - has established a theoretically valid methodology and an accompanying line pipe material characterization procedure for gas industry use. This progress provides a theoretically sound framework for designing and operating gas transmission pipelines to be without risk of a large-scale ductile fracture event. However, there remained two important aspects of this technology that needed to be addressed before practical use of the methodology could be made by gas transmission companies. First, because the preceding projects concentrated on pipes with natural gas, to cover the full range of gas transmission pipeline service, the approach needed to be extended to include the effects of gases rich in hydrocarbons. Second, as the number of full-scale pipe fracture experiments that were included in the developmental phase of the research were limited, other data for validation of the model needed to be identified and employed. These two aspects of the ductile fracture methodology development process were conducted concurrently, and have now been completed. The progress that has been provided in detail in this report. The work is culminated by a relation through which the methodology can be applied by pipeline engineers to assess the possibility of a ductile fracture propagation. This report describes the development of a predictive model for ductile fracture in a gas transmission pipeline, thus providing a theoretically sound framework for designing and operating gas pipelines to be without risk of a large-scale ductile fracture event. The model represents an improvement on a number of empirical relations used in designing natural gas pipelines in that this model has been generalized to consider a wide-range of hydrocarbon contents and validated through both additional full-scale instrumented tests carried out by Centro Sviluppo Materiali of Italy and computer simulations conducted at Southwest Research Institute. Application of the model in pipeline design is based on determination of the maximum driving force for fracture, as described in the report, and contrasting this value with measured material resistance that provides a basis for assessing the likelihood of ductile fracture occurring. For existing pipelines the procedure can be used to obtain the maximum operating line pressure that will not put the pipeline at risk of ductile fracture.
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An Input Linearized Powertrain Model for the Optimal Control of Hybrid Electric Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-0741.

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Models of hybrid powertrains are used to establish the best combination of conventional engine power and electric motor power for the current driving situation. The model is characteristic for having two control inputs and one output constraint: the total torque should be equal to the torque requested by the driver. To eliminate the constraint, several alternative formulations are used, considering engine power or motor power or even the ratio between them as a single control input. From this input and the constraint, both power levels can be deduced. There are different popular choices for this one control input. This paper presents a novel model based on an input linearizing transformation. It is demonstrably superior to alternative model forms, in that the core dynamics of the model (battery state of energy) are linear, and the non-linearities of the model are pushed into the inputs and outputs in a Wiener/Hammerstein form. The output non-linearities can be approximated using a quadratic model, which creates a problem in the linear-quadratic framework. This facilitates the direct application of linear control approaches such as LQR control, predictive control, or Model Predictive Control (MPC). The paper demonstrates the approach using the ELectrified Vehicle library for sImulation and Optimization (ELVIO). It is an open-source MATLAB/Simulink library designed for the quick and easy simulation and optimization of different powertrain and drivetrain architectures. It follows a modelling methodology that combines backward-facing and forward-facing signal path, which means that no driver model is required. The results show that the approximated solution provides a performance that is very close to the solution of the original problem except for extreme parts of the operating range (in which case the solution tends to be driven by constraints anyway).
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Event-Triggered Adaptive Robust Control for Lateral Stability of Steer-by-Wire Vehicles with Abrupt Nonlinear Faults. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-5056.

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Because autonomous vehicles (AVs) equipped with active front steering have the features of time varying, uncertainties, high rate of fault, and high burden on the in-vehicle networks, this article studies the adaptive robust control problem for improving lateral stability in steer-by-wire (SBW) vehicles in the presence of abrupt nonlinear faults. First, an upper-level robust H∞ controller is designed to obtain the desired front-wheel steering angle for driving both the yaw rate and the sideslip angle to reach their correct values. Takagi-Sugeno (T-S) fuzzy modeling method, which has shown the extraordinary ability in coping with the issue of nonlinear, is applied to deal with the challenge of the changing longitudinal velocity. The output of the upper controller can be calculated by a parallel distributed compensation (PDC) scheme. Then an event-triggered adaptive fault-tolerant lower controller (ET-AFTC) is proposed to drive the whole SBW system driving the desired steering angle offered by the upper controller with fewer communication resources and strong robustness. By employing a backstepping technique, the tracking performance is improved. The dynamic surface control (DSC) approach is used to avoid the problem of repeated differentiations, and Nussbaum function is adopted to overcome the difficulty of unknown nonlinear control gain. Both the stability of the upper and lower controllers can be guaranteed by Lyapunov functions. Finally, the simulations of Matlab/Simulink are given to show that the proposed control strategy is effectively able to deal with the abrupt nonlinear fault via less communication resources and perform better in ensuring the yaw stability of the vehicle.
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Beach-fx Version 1.1.9. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45980.

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Beach-fx is a Monte Carlo simulation model developed by the U.S. Army Corps of Engineers that incorporates a new framework for performing engineering-economic analyses associated with storm damage reduction studies. This event-based framework replaces older frequency-based analyses that are derived from riverine flooding approaches, which are not as suitable for the coastal storm damage problem. Beach-fx utilizes a database that describes the coastal area under study, a suite of historically-based plausible storm events that can impact the area, an inventory of structures that can be damaged, and the estimated morphology response of the anticipated range of beach profile configurations to each storm in the plausible storm suite, together with the driving parameters for flooding and wave impact damages. This allows the model to be readily transportable between study areas, as the specification of the project area is contained in the database. Beach-fx features include: an interface to geographical information system data; a graphical user interface; extensive reporting and visualization; and the capability to import required input data sets from spreadsheets.
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Beach-fx Version 3.0. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48632.

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Beach-fx is a Monte Carlo simulation model developed by the U.S. Army Corps of Engineers that incorporates a new framework for performing engineering-economic analyses associated with storm damage reduction studies. This event-based framework replaces older frequency-based analyses that are derived from riverine flooding approaches, which are not as suitable for the coastal storm damage problem. Beach-fx utilizes a database that describes the coastal area under study, a suite of historically-based plausible storm events that can impact the area, an inventory of structures that can be damaged, and the estimated morphology response of the anticipated range of beach profile configurations to each storm in the plausible storm suite, together with the driving parameters for flooding and wave impact damages. This allows the model to be readily transportable between study areas, as the specification of the project area is contained in the database. Beach-fx features include: an interface to geographical information system data; a graphical user interface; extensive reporting and visualization; and the capability to import required input data sets from spreadsheets. NOTE: This particular record contains the files for version 3.0 of Beach-fx.
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