Relevant bibliographies by topics / Model and simulation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Model and simulation'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Model and simulation"

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FERNÁNDEZ-ZEPEDA, JOSÉ ALBERTO, DANIEL FAJARDO-DELGADO, JOSÉ ANTONIO CÁRDENAS-HARO, and ANU G. BOURGEOIS. "EFFICIENT SIMULATION OF AN ACYCLIC DIRECTED RECONFIGURABLE MODEL ON AN UNDIRECTED RECONFIGURABLE MODEL." International Journal of Foundations of Computer Science 16, no. 01 (2005): 55–70. http://dx.doi.org/10.1142/s0129054105002863.

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In this paper we present a simulation of an acyclic n×n DR-Mesh on an n×n LR-Mesh. The simulation is efficient in regards to size since both models use the same number of processors. The worst execution time for this simulation is O(n2) time, but we demonstrate that its average execution time is O( log n). The fastest existing simulation takes O( log n) time, but it uses an extremely large number of processors. On the other hand, the most efficient simulation in terms of size takes O( log 2n) time with O(n4/ log 2n) processors. Both of the existing simulations are for the unrestricted DR-Mesh.
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Miková, Ľubica, Michal Kelemen, Ivan Virgala, and Maroš Michna. "Simulation Model of Manipulator for Model Based Design." Applied Mechanics and Materials 611 (August 2014): 175–82. http://dx.doi.org/10.4028/www.scientific.net/amm.611.175.

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The subject of creation of simulation and mathematical models is nowadays more and more current and its application is in almost every aspect of life. The article deals with compiling a mathematical model of a pivoting arm using Lagrange equations of the second kind. Subsequently, the model will be created in the simulation program Matlab/Simulink. The simulation model will as well be assembled in the program Adams. The results of these simulations will be compared in the conclusion. This article presents a procedure for resolving a mechanical system from the beginning, from creation of a math
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Toshev, O. T., O. M. Maksymov, and M. V. Kiriakidi. "SIMULATION MODEL OF A MISSILE STRIKE." ELECTRICAL AND COMPUTER SYSTEMS, no. 40(116) (2024): 63–76. http://dx.doi.org/10.15276/eltecs.40.116.2024.7.

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Abstract. As modern naval warfare systems and tactics continue to evolve, it is crucial to employ contemporary tools capable of assessing their potential across various combat scenarios. This study model simulates interactions between anti-ship missiles and naval forces during landing operations. Our research seeks to develop a robust method for quantitatively analyzing the impact of anti-ship missiles on naval vessels under diverse combat conditions. The model's scalability allows for the incorporation of emerging naval tactics and procedures, maintaining its relevance and utility in dynamic
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Minato, Akihiko, Nobuyuki Nakajima, and Takahide Nagahara. "SIMULATION OF FREE SURFACE FLOW BY SP-VOF MODEL(Numerical Simulation)." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2005 (2005): 717–20. http://dx.doi.org/10.1299/jsmeicjwsf.2005.717.

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Durán, Juan M. "What is a Simulation Model?" Minds and Machines 30, no. 3 (2020): 301–23. http://dx.doi.org/10.1007/s11023-020-09520-z.

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Abstract Many philosophical accounts of scientific models fail to distinguish between a simulation model and other forms of models. This failure is unfortunate because there are important differences pertaining to their methodology and epistemology that favor their philosophical understanding. The core claim presented here is that simulation models are rich and complex units of analysis in their own right, that they depart from known forms of scientific models in significant ways, and that a proper understanding of the type of model simulations are fundamental for their philosophical assessmen
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Imran, Asghar, and Ali Wasif. "Simulation Model for Manpower Planning." International Journal of Management Sciences and Business Research 6, no. 12 (2017): 103–17. https://doi.org/10.5281/zenodo.3473895.

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The main aim of the research is to develop a simulation model for manpower planning in organizations having pyramidal organizational structures. Methodology: Simulation modeling technique has been used to develop a manpower planning model. A conceptual stock and flow diagram was developed to formulate the transition probabilities and relationship between different grades. Furthermore, seven different equations of the model were developed for all grades of the workforce. In order to implement the model a software application based on the equations of the model was developed to assist HR manager
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Ritika, Singh, Panchani Nilansh, and Bhatnagar Aastha. "Analysis and Simulation of COVID-19." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 7 (2021): 51–54. https://doi.org/10.35940/ijitee.G8928.0510721.

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India is facing a severe second wave of COVID-19 which is much worse than the first wave. It is spreading much faster. India has now surpassed U.S. in terms of daily COVID-19 cases. This paper aims to analyze the trend of COVID 19 and examine why second wave happened and why it is so bad by simulating a simple SEIR model. Which is a compartmental model based on 4 compartments Susceptible, Exposed, Infectious, Recovered.
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Li, Yongxing, Hongfei Jia, Ya-Nan Zhou, and Lili Yang. "Simulation research on pedestrian counter flow subconscious behavior." International Journal of Modern Physics C 28, no. 02 (2017): 1750025. http://dx.doi.org/10.1142/s0129183117500255.

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Analyzing the pedestrian subconscious behavior and walking environment in the passage, right-moving preference subconscious strength and overtaking subconscious strength are introduced into the pedestrian simulation model which is based on lattice gas model. Two pedestrian subconscious behavior simulation models, which are distinguished by whether considering pedestrian flow ratio of two directions or not, are established respectively. With the platform of MATLAB software, the simulations of pedestrian counter flow subconscious behavior are realized. The simulations indicate that compared with
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Rongpeng, Zhang* Omer T. Karaguzel. "DEVELOPMENT AND CALIBRATION OF REDUCED-ORDER BUILDING ENERGY MODELS BY COUPLING WITH HIGH-ORDER SIMULATIONS." GLOBAL JOURNAL OF ADVANCED ENGINEERING TECHNOLOGIES AND SCIENCES 7, no. 2 (2020): 1–18. https://doi.org/10.5281/zenodo.3689397.

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Building energy modeling and simulation is an effective approach to evaluate building performance and energy system operations to achieve higher building energy efficiency. The high-order building models can offer exceptional simulation capacity and accuracy, however, its high level of complexity does not allow it to directly work with the optimization algorithms and methods that require a complete differential-algebraic-equations-based mathematical description of the physical model. In order to fill in the gap, the study presents a systematic approach to develop and calibrate the reduced-orde
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Djouder, Mohamed, Arezki Benfdila, and Ahcene Lakhlef. "Temperature dependent analytical model for submicron GaAs-MESFET." Bulletin of Electrical Engineering and Informatics 10, no. 3 (2021): 1271–82. http://dx.doi.org/10.11591/eei.v10i3.2944.

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MESFET are used in circuitsof gigahertz frequencies as they are based on gallium arsenide (GaAs) having electron mobility six times higher than that of silicon. An analytical model simulating different device current-voltage characteristics, i.e., output conductance and output transconductance of a 0.3μm gate MESFET with temperature dependence is proposed. The model is validated by comparing the results of the proposed model and those of the numerical simulation. The parameter values are computed using an intrinsic MESFET of two-dimensional geometry. In this work, the distribution of different
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Dissertations / Theses on the topic "Model and simulation"

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Coskun, Sarp Arda. "PATHCASE-SB MODEL SIMULATION AND MODEL COMPOSITION TOOLS FOR SYSTEMS BIOLOGY MODELS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1328556115.

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Zimmer, Janek. "Simulation konvektiver Niederschlagsereignisse mit dem LMK." Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-223358.

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Die Modellierung eng begrenzter konvektiver Starkniederschlagsgebiete mit mesoskaligen numerischen Wettervorhersagemodellen ist durch die enorme Bandbreite der möglichen Zellverteilungen stets auf eine bestimmte Problemstellung beschränkt. Zahlreiche Autoren haben sich der Untersuchung superzellulärer Strukturen mithilfe idealisierter Strömungssimulationen gewidmet, um deren Entwicklung in unterschiedlichen atmosphärischen Umgebungen zu beschreiben (Atkins et al., 1999, Bluestein & Weisman, 2000, unter anderen). Im vorliegenden Artikel wird die Sensitivität der simulierten Niederschlagsint
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Aryal, Babu Ram. "Developing the computer simulation model of buzz electronics simulation." Online version, 2009. http://www.uwstout.edu/lib/thesis/2009/2009aryalb.pdf.

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Paepcke, Anne. "NANDRAD 1.4 building simulation model." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-230427.

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NANDRAD is a dynamic building energy simulation program. It calulates heating/cooling requirements and electric power consumption with respect to realistic climatic conditions and dynamic room usage. The model includes one-dimensional spatially resolved heat transport through multi-layered walls and thermal storage of solid components (room furniture/building walls). Consequently, massive constructions forms in the European area are very well represented. Further, NANDRAD calculates geometrical long radiation heat exchange inside the room. Heating systems may be modeled with a high level of ge
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Steiner, Stefan. "Grace Hospital computer simulation model." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/27638.

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A simulation model, written in GPSS/H, was created to study utilization of Grace Hospital, a special-purpose maternity hospital. The model assumes that a patient's transfers and length of stay depend only on her present location and classification, and not on any past history. The model includes a sophisticated overflow policy, and allows the factors used to govern a patient's transfers and length of stay to depend on her treatment stage. Also, to more accurately simulate the mid-morning peak load in the hospital, the length of stay in Postpartum depends on a patient's arrival time in Postpart
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Myre, David D. "Model fan passage flow simulation." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23962.

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Metz, Werner. "Linear barotropic simulation of atmospheric low-frequency variability." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-212307.

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A steady-state barotropic model, linearized about a GCM-derived 500 hPa basic state, is driven by a sample of \"observed\" forcing fields. lt tums out that the leading mode (LEOF) obtained from the sample of linear solutions matches weil with the leading EOF of low-frequency atmospheric variability actually occurring in the GCM. The response ofthe linear model is analysed in tenns of the singular modes of the model\'s linear operator. lt is found that about 50 percent ofthe spatial variance of the LEOF can be explained in tenns of the leading two singular modes. This finding is reflected also
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Kajero, Olumayowa T. "Meta-model assisted calibration of computational fluid dynamics simulation models." Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/813857/.

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Computational fluid dynamics (CFD) is a computer-based analysis of the dynamics of fluid flow, and it is widely used in chemical and process engineering applications. However, computation usually becomes a herculean task when calibration of the CFD models with experimental data or sensitivity analysis of the output relative to the inputs is required. This is due to the simulation process being highly computationally intensive, often requiring a large number of simulation runs, with a single simulation run taking hours or days to be completed. Hence, in this research project, the kriging meta-m
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Bramler, Arild. "Towards improved simulation process capabilities : A simulation process maturity model." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44355.

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Purpose – The purpose of this thesis is to present the result of simulation process maturity (SPM) assessments in the pharmaceutical and manufacturing industry using a process maturity model derived from empirical research. The model is used to benchmark an organisations simulation capability and to apply the results of the assessment to develop a road map for implementing simulation process improvement as well as integration initiatives within the organisation. Methodology approach – This is a survey-based research on benchmarking simulation process in the industry. The SPM model was adopted
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Diourté, Badié. "Modélisation et simulation du système cardio-vasculaire par analogie électrique." Grenoble 1, 1998. http://www.theses.fr/1998GRE10222.

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Le modele de windkessel a ete propose pour identifier a partir de l'analyse du contour de l'onde de pression arterielle (pa), les parametres hemodynamiques du systeme arteriel comme la compliance arterielle (ca), l'inertie du volume sanguin (l), et les resistances vasculaires du systeme (r). Il s'agit d'un modele lineaire qui ne tient pas compte des variations structurales et fonctionnelles des arteres liees a la pulsatilite de la pa de ses variations entre la systole et la diastole et de la complexite de l'impedance cardiaque. L'objectif de la these est d'analyser les performances d'un modele
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Books on the topic "Model and simulation"

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Mansager, Bard K. Model test model. Naval Postgraduate School, 1994.

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Benner, Peter, Michael Hinze, and E. Jan W. ter Maten, eds. Model Reduction for Circuit Simulation. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0089-5.

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Ohn, Syng Yup, and Sung Do Chi, eds. Model Design and Simulation Analysis. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2158-9.

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Myre, David D. Model fan passage flow simulation. Naval Postgraduate School, 1992.

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Benner, Peter. Model Reduction for Circuit Simulation. Springer Science+Business Media B.V., 2011.

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Tregub, Ilona, and Tat'yana Goroshnikova. A simulation model of decision-making. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1030572.

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A tutorial on the basics of simulation modelling in problems of managerial decision-making, illustrated by numerous practical examples. Contains material contributing to the deepening of theoretical knowledge and practical skills of the student in the application of computer simulation modeling of economic, social and technological systems for the formation, adoption and implementation of managerial decisions.
 Meets the requirements of Federal state educational standards of higher education of the last generation.
 Intended for graduate students in the study of disciplines "Mathemat
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Butler, Ashley F. G. A production - distribution system simulation model. University College Dublin, 1994.

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Fund, International Monetary. A simulation model for financial programming. International Monetary Fund, 1989.

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Thornley, J. H. M. Grassland dynamics: An ecosystem simulation model. CAB International, 1998.

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McGaughey, Robert J. SIMYAR, a cable-yarding simulation model. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1987.

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Book chapters on the topic "Model and simulation"

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Robinson, Stewart. "Model Coding." In Simulation. Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-32803-8_8.

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Lantuéjoul, Christian. "Boolean model." In Geostatistical Simulation. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04808-5_13.

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Robinson, Stewart. "Developing the Conceptual Model." In Simulation. Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-32803-8_6.

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Garrido, Joés M. "Model Validation." In Object Oriented Simulation. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0516-1_31.

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Pooch, Udo W., and James A. Wall. "Model Validation." In Discrete Event Simulation. CRC Press, 2024. http://dx.doi.org/10.1201/9781003575054-9.

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Greasley, Andrew. "Conceptual Modelling (Descriptive Model)." In Simulation Modelling. Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-5.

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Greasley, Andrew. "Building the Simulation Model." In Simulation Modelling. Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-10.

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Greasley, Andrew. "Conceptual Modelling (Explanatory Model)." In Simulation Modelling. Routledge, 2022. http://dx.doi.org/10.4324/9781003124092-4.

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Hori, M., T. Ichimura, and L. Maddegedara. "Automated Model Construction." In Integrated Earthquake Simulation. CRC Press, 2022. http://dx.doi.org/10.1201/9781003149798-3.

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Albers, Karsten, Benjamin Bolte, Max-Arno Meyer, Axel Terfloth, and Anna Wißdorf. "Tool Support for Co-Simulation-Based Analysis." In Model-Based Engineering of Collaborative Embedded Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62136-0_13.

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AbstractThe development of collaborative embedded systems (CESs) requires the validation of their runtime behavior during design time. In this context, simulation-based analysis methods play a key role in the development of such systems. Simulations of CESs tend to become complex. One cause is that CESs work in collaborative system groups (CSGs) within a dynamic context., which is why CESs must be simulated as participants of a CSG. Another cause stems from the fact that CES simulations cover various cyber-physical domains. The models incorporated are often managed by different tools that are
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Conference papers on the topic "Model and simulation"

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Martinez-Moyano, Ignacio J. "Increasing Model Transparency in System Dynamics Models." In 2024 Winter Simulation Conference (WSC). IEEE, 2024. https://doi.org/10.1109/wsc63780.2024.10838937.

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Gomes, Claudio, Levi Lucio, and Hans Vangheluwe. "Semantics of Co-simulation Algorithms with Simulator Contracts." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00124.

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Cremona, Fabio, Marten Lohstroh, David Broman, Edward A. Lee, Michael Masin, and Stavros Tripakis. "Hybrid Co-simulation." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. ACM, 2018. http://dx.doi.org/10.1145/3239372.3242896.

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Chen, Qiwei, Tiexin Wang, Chengjie Lu, Tao Yue, and Shaukat Ali. "Enhancing the realism of autonomous driving simulation with real-time co-simulation." In MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. ACM, 2022. http://dx.doi.org/10.1145/3550356.3561558.

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Cambeiro, Joao, Julien Deantoni, and Vasco Amaral. "Supporting the Engineering of Multi-Fidelity Simulation Units With Simulation Goals." In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00053.

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"The Reference Model Models Clinicaltrials.Gov." In 2017 Summer Simulation Multi-Conference. Society for Modeling and Simulation International (SCS), 2017. http://dx.doi.org/10.22360/summersim.2017.scsc.022.

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Kirchhof, Jorg Christian, Evgeny Kusmenko, Jean Meurice, and Bernhard Rumpe. "Simulation of Model Execution for Embedded Systems." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00052.

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Harbin, James, Simos Gerasimou, Nicholas Matragkas, Athanasios Zolotas, and Radu Calinescu. "Model-Driven Simulation-Based Analysis for Multi-Robot Systems." In 2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2021. http://dx.doi.org/10.1109/models50736.2021.00040.

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Gueuziec, Baptiste, Jean-Pierre Gallois, and Frédéric Boulanger. "Qualitative Tendencies for Hybrid System Simulation." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00087.

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HERZOG, Simon, Dennis ATABAY, Johannes JUNGWIRTH, and Vesna MIKULOVIC. "Self-adapting Building Models For Model Predictive Control." In 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.2298.

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Reports on the topic "Model and simulation"

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Fowler, T. K. SSPX simulation model. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/13082.

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Nishimura, Masatsugu, Yoshitaka Tezuka, Enrico Picotti, Mattia Bruschetta, Francesco Ambrogi, and Toru Yoshii. Study of Rider Model for Motorcycle Racing Simulation. SAE International, 2020. http://dx.doi.org/10.4271/2019-32-0572.

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Various rider models have been proposed that provide control inputs for the simulation of motorcycle dynamics. However, those models are mostly used to simulate production motorcycles, so they assume that all motions are in the linear region such as those in a constant radius turn. As such, their performance is insufficient for simulating racing motorcycles that experience quick acceleration and braking. Therefore, this study proposes a new rider model for racing simulation that incorporates Nonlinear Model Predictive Control. In developing this model, it was built on the premise that it can c
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Lee, W. W. Gyrokinetic particle simulation model. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/5410301.

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Kimpland, Robert. Kiwi-TNT Simulation Model. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1870609.

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Abdolmaleki, Kourosh. PR-453-205101-R02 On-Bottom Dynamic Simulation. Pipeline Research Council International, Inc. (PRCI), 2023. http://dx.doi.org/10.55274/r0012257.

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This report presents a number of newly added features to the OBS software relevant to the dynamic simulation of pipelines. The additions include a function to extract on-bottom wave induced velocities and hydrodynamic forces on a given length of pipeline with arbitrary distribution of the nodes; a new dynamic simulation module to perform dynamic simulations for a single pipe node; two new soil models including the Verley and Sotberg for sand as well as a custom soil model as per the approach recommended in DNV-RP-F114. The added soil models are implemented in the dynamic solver, which provide
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Berzins, Valdis. Acoustic Simulation API Requirements Model. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada442126.

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Kohler, Karsten. Teaching macroeconomics with an open-source online model simulation in R and Python. The Economics Network, 2024. http://dx.doi.org/10.53593/n3917a.

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DRENNEN, THOMAS E., and WILLIAM KAMERY. Electricity Generation Cost Simulation Model (GenSim). Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/809600.

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Bays, Samuel E., and David L. Chichester. TREAT HODOSCOPE – A Predictive Simulation Model. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1408774.

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Williams, Ryan, Arnold Barry Baker, and Thomas E. Drennen. Alternative Liquid Fuels Simulation Model (AltSim). Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1004373.

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