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Artículos de revistas sobre el tema "Computer simulation"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

Zheng, Lei, Ying Huang, Dong Liu, and Wei Yan Xing. "A Reliability Simulation Method for On-Board Computer." Applied Mechanics and Materials 380-384 (August 2013): 3350–53. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3350.

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As high reliable equipment, on-board computer often has difficulties to evaluate its reliability. The paper put forward a simulation method to compute on-board computers reliability. The method uses a forced transition (FT) based reliability simulation model to deal with the on-board computers that have complex structure and diversiform characteristic parameters. The model is particularly suitable for the on-board computers which are composed of the components whose failure processes obey tub life curve. As an example, a prototype on-board computer was put forward and simulated using the model

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2

Wu, Qing, Maksym Spiryagin, Ingemar Persson, Chris Bosomworth, and Colin Cole. "Parallel computing of wheel-rail contact." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, no. 10 (2019): 1109–16. http://dx.doi.org/10.1177/0954409719880737.

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Railway wheel–rail contact simulations are the most important and time-consuming tasks when simulating the system dynamics of vehicles. Parallel computing is a good approach for improving the numerical computing speed. This paper reports the advances in parallel computing of the wheel–rail contact simulations. The proposed method uses OpenMP to parallelise the multiple contact points of all the wheel–rail interfaces of a locomotive model. The method has been implemented in the vehicle system dynamics simulation package GENSYS. Simulations were conducted using two numerical solvers (4th Runge-K

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3

PREVE, NIKOLAOS P., and EMMANUEL N. PROTONOTARIOS. "MONTE CARLO SIMULATION ON COMPUTATIONAL FINANCE FOR GRID COMPUTING." International Journal of Modeling, Simulation, and Scientific Computing 03, no. 03 (2012): 1250010. http://dx.doi.org/10.1142/s1793962312500109.

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Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating complex systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is infeasible or impossible to compute an exact result with a deterministic algorithm. In finance, Monte Carlo simulation method is used to calculate the value of companies, to evaluate economic investments and financial derivatives. On

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4

Pias, Claus. "On the Epistemology of Computer Simulation." ZMK Zeitschrift für Medien- und Kulturforschung 2/1/2011: Offene Objekte 2, no. 1 (2011): 29–54. http://dx.doi.org/10.28937/1000107521.

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"Der Aufsatz plädiert dafür, die Geschichte der wissenschaftlichen Computersimulation auf eine spezifisch medienhistorische Weise zu untersuchen. Nach einigen Vorschlägen zur Charakterisierung der Besonderheiten von Computersimulationen werden zwei Beispiele interpretiert (Management-Simulationen der 1960er und verkehrstechnische bzw. epidemiologische Simulationen der 1990er). Daraus leiten sich Fragen nach dem veränderten Status wissenschaftlichen Wissens, nach der Genese wissenschaftstheoretischer Konzepte und nach wissenschaftskritischen Optionen ab. </br></br>The paper suggests

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5

Adavize, Momoh Hameed, and Mohammed Ahmed. "Assessing hardware-driven variations from workstations to personal computers in gate simulation time for radioembolization studies." Science World Journal 20, no. 1 (2025): 181–85. https://doi.org/10.4314/swj.v20i1.24.

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Monte Carlo GATE (Geant4 Application for Tomographic Emission) is widely used in medical physics for tomographic emission simulations, particularly in nuclear medicine procedures like radioembolization for liver cancer treatment. Despite its userfriendly interface, GATE simulations are often criticized for their slow computational speed, which poses challenges for students and researchers. Factors such as computer hardware (RAM, CPU, GPU, storage type), simulation settings, and the complexity of physics modeling significantly influence simulation times. This study investigates how hardware con

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6

Wang, A. T. "Finite-Simulation Error Bounds for Estimated K-Year Forces." Journal of Offshore Mechanics and Arctic Engineering 111, no. 4 (1989): 273–77. http://dx.doi.org/10.1115/1.3257095.

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Computer simulations have been used frequently to calculate design loads associated with a specific return period for offshore structures. However, two important questions persistently confront engineers who simulate load events on computers to estimate k-year forces: 1) How accurate is the estimated k-year force (say, 100-yr force) obtained through a computer simulation of n years (e.g., n = 1000) compared to that which would result from a much longer simulation? 2) When can we stop a computer simulation? Or how many simulation years are needed to reach a specified level of reliability for a

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7

Matsuoka, Takaaki. "Computer Simulation." Nihon Reoroji Gakkaishi 31, no. 1 (2003): 51–57. http://dx.doi.org/10.1678/rheology.31.51.

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8

Fishwick, P. A. "Computer simulation." IEEE Potentials 15, no. 1 (1996): 24–27. http://dx.doi.org/10.1109/45.481372.

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9

Nance, Richard E., and C. Michael Overstreet. "Computer simulation." ACM SIGSIM Simulation Digest 24, no. 3 (1995): 40–50. http://dx.doi.org/10.1145/219271.219277.

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10

Klaassens, Elizabeth. "Computer Simulation." Nurse Educator 13, no. 2 (1988): 7. http://dx.doi.org/10.1097/00006223-198803000-00004.

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11

Materials & Chemistry Division. "Computer simulation." NDT & E International 24, no. 4 (1991): 227. http://dx.doi.org/10.1016/0963-8695(91)90364-9.

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12

Satoh, Shuichi. "Computer Simulation." REVIEW OF HIGH PRESSURE SCIENCE AND TECHNOLOGY 8, no. 4 (1998): 242. http://dx.doi.org/10.4131/jshpreview.8.242.

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13

Grossman, David C. "Computer Simulation." Archives of Pediatrics & Adolescent Medicine 155, no. 9 (2001): 992. http://dx.doi.org/10.1001/archpedi.155.9.992.

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14

Nazaré, Thalita E., Erivelton G. Nepomuceno, Samir A. M. Martins, and Denis N. Butusov. "A Note on the Reproducibility of Chaos Simulation." Entropy 22, no. 9 (2020): 953. http://dx.doi.org/10.3390/e22090953.

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An evergreen scientific feature is the ability for scientific works to be reproduced. Since chaotic systems are so hard to understand analytically, numerical simulations assume a key role in their investigation. Such simulations have been considered as reproducible in many works. However, few studies have focused on the effects of the finite precision of computers on the simulation reproducibility of chaotic systems; moreover, code sharing and details on how to reproduce simulation results are not present in many investigations. In this work, a case study of reproducibility is presented in the

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15

Lasquety-Reyes, Jeremiah A. "Towards Computer Simulations of Virtue Ethics." Open Philosophy 2, no. 1 (2019): 399–413. http://dx.doi.org/10.1515/opphil-2019-0029.

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AbstractThis article presents two approaches for computer simulations of virtue ethics in the context of agent-based modeling, a simple way and a complex way. The simple way represents virtues as numeric variables that are invoked in specific events or situations. This way can easily be implemented and included in social simulations. On the other hand, the complex way requires a PECS framework: physical, cognitive, emotional, and social components need to be implemented in agents. Virtue is the result of the interaction of these internal components rather than a single variable. I argue that t

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16

Foley, Michael J., Patrick S. Cottler, Silvia S. Blemker, Arlen D. Denny, and Jonathan S. Black. "Computer Simulation and Optimization of Cranial Vault Distraction." Cleft Palate-Craniofacial Journal 55, no. 3 (2017): 356–61. http://dx.doi.org/10.1177/1055665617738999.

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Objective: The objective of this study was to validate the proof of concept of a computer-simulated cranial distraction, demonstrating accurate shape and end volume. Design: Detailed modeling was performed on pre- and postoperative computed tomographic (CT) scans to generate accurate measurements of intracranial volume. Additionally, digital distraction simulations were performed on the preoperative scan and the resultant intracranial volume and shape were evaluated. Setting: Tertiary Children’s Hospital. Patients, Participants: Preoperative and postoperative CT images were used from 10 patien

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17

Shafwan Iman Ramadhani, Ratu Farah Humainah, Aditio Nugroho, and Didik Aribowo. "Penerapan Komunikasi Data Pada Osi Layer PC to PC Menggunakan Cisco Packet Tracer." Jurnal Penelitian Rumpun Ilmu Teknik 3, no. 2 (2024): 66–76. http://dx.doi.org/10.55606/juprit.v3i2.3791.

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Data communication is a method for transferring information using an electronic transmission system from one computer device to another computer device, or from a computer to a specific terminal. The implementation of data communication in Osi Layer PC to PC aims to update the method of data communication. OSI is a reference model in the form of a conceptual framework that establishes connection standards for computers. The aim of creating the OSI reference model is to serve as a guide for users to make it easier to communicate between PCs. This research is descriptive in nature, with the aim

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18

Eastwood, J. W. "Computer simulation and computer algebra." Computer Physics Communications 54, no. 1 (1989): 199. http://dx.doi.org/10.1016/0010-4655(89)90045-3.

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19

Algimantas, FEDARAVIČIUS, RAČKAUSKAS Saulius, and SURVILA Arvydas. "Numerical Study on Internal Ballistics Characteristics of a Solid Propellant Rocket Motor." Mechanics 25, no. 3 (2019): 187–96. http://dx.doi.org/10.5755/j01.mech.25.3.23742.

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The viability of numerical simulations to design a solid propellant rocket motor, as opposed to static testing, is discussed in this paper. The results demonstrate that an objectively more detailed insight into the processes taking place within the motor in active combustion can be gained by employing computer simulations. The abundance of readily available computing power allows complex simulations to be run on personal desktop computers, thus, saving money by eliminating the need for static testing during the design phase of the motor. The computer simulation results are validated by a compa

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20

Chatterji, B. N. "Analog Computer Simulation." IETE Journal of Education 34, no. 1 (1993): 27–38. http://dx.doi.org/10.1080/09747338.1993.11436397.

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21

Mirabelli, Andre. "Computer simulation concerns." Physics Teacher 26, no. 4 (1988): 200. http://dx.doi.org/10.1119/1.2342481.

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22

Zhang, Tong-Yi. "Computer Simulation of Semipbrittle Fracture/ Computer-Simulation des Semi-Sprödbruchs." International Journal of Materials Research 81, no. 1 (1990): 63–69. http://dx.doi.org/10.1515/ijmr-1990-810109.

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23

Ben Boumediane, Manar, Oumaima Azzi, and Rachid Janati-Idrissi. "ENHANCING PHYSICS EDUCATION." Conhecimento & Diversidade 17, no. 45 (2025): 608–28. https://doi.org/10.18316/rcd.v17i45.12486.

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This study delves into the advantages of incorporating computer simulations, mainly the PhET simulator, in instructing Newton's laws in contrast to conventional teaching approaches. The research revealed that students who engaged with the simulator exhibited enhanced comprehension of the Newtonian concepts. Additionally, educators noted the simulator's ease of use and efficacy in conveying Newtonian mechanics. The investigation involved examining 120 students from two schools in Morocco, with one group utilizing computer simulations and the other adhering to traditional teaching methods. The n

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24

Sussman, Daniel, and Joseph Lowman. "Hard-copy versus Computer Presentation of the SuperShrink Interview Simulation." Teaching of Psychology 16, no. 4 (1989): 227–30. http://dx.doi.org/10.1207/s15328023top1604_17.

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The effects of realism and perceived control on student satisfaction with the SuperShrink interview simulation were investigated via a 2 × 2 comparison of active/passive and computer/hard-copy conditions. Students rated the computer versions as more satisfying and as promoting a greater sense of realism than the printed materials. Students perceived having more control in the active than the passive conditions, but this perception was not accompanied by differences in satisfaction. These data suggest that computers are superior to hard-copy simulations of human interaction, perhaps because the

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25

Möring, Sebastian. "The Metaphor-Simulation Paradox in the Study of Computer Games." International Journal of Gaming and Computer-Mediated Simulations 5, no. 4 (2013): 48–74. http://dx.doi.org/10.4018/ijgcms.2013100103.

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This article discusses the metaphor-simulation paradox in the study of computer games. It is derived from three observations. Firstly, often when authors use the concept of metaphor with regard to games they use it in conceptual and textual vicinity to the concept of simulation. Secondly, the concept of metaphor is often applied to signify seemingly abstract games in opposition to mimetic simulations. Both observations can be made within an artgame discourse of the study of computer games as well as within the more general discourse of the study of computer games. Thirdly, however, the definit

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26

Hanai, Kouzou, Tetsuya Horiuchi, Junko Sekiguchi, et al. "Computer-Simulation Technique for Low Dose Computed Tomographic Screening." Journal of Computer Assisted Tomography 30, no. 6 (2006): 955–61. http://dx.doi.org/10.1097/01.rct.0000230011.16468.0e.

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27

Marupov, Jasur R. "COMPUTER SIMULATION IN THE ANALYSIS OF POLITICAL PROCESSES." Oriental Journal of History, Politics and Law 02, no. 02 (2022): 56–62. http://dx.doi.org/10.37547/supsci-ojhpl-02-02-08.

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As a rule, when considering socio-political processes, the system under consideration becomes one of the subjects of politics: a political structure, a state, a state institution, a party, a political leader. Each subject has its own environment and a hypersystem that unites them (country, administrative-territorial community, production team, legislative body, apparatus, party, etc.). The purpose of the study may be to identify the conditions for the stability of a given system (preservation of systemic quality), achieving the goal while maintaining stability or programmed decay, adaptation m

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28

GHIMBASEANU, Ioan. "MONITOR THE SIMULATION OF MECHANICAL STRESSES BY COMPUTER." Review of the Air Force Academy 14, no. 1 (2016): 105–10. http://dx.doi.org/10.19062/1842-9238.2016.14.1.15.

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29

Badcock, Christopher, Nigel Gilbert, and Jim Doran. "Simulating Societies: The Computer Simulation of Social Phenomena." British Journal of Sociology 46, no. 3 (1995): 544. http://dx.doi.org/10.2307/591863.

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30

Bollen, Kenneth A., Nigel Gilbert, and Jim Doran. "Simulating Societies: The Computer Simulation of Social Phenomena." Social Forces 74, no. 2 (1995): 745. http://dx.doi.org/10.2307/2580509.

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31

Janoško, Ivan, Tomáš Polonec, Peter Kuchar, Pavel Máchal, and Martin Zach. "Computer Simulation of Car Aerodynamic Properties." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 65, no. 5 (2017): 1505–14. http://dx.doi.org/10.11118/actaun201765051505.

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The paper presents an optimization of car aerodynamic properties using the simulation software STAR‑CCM+. For real simulation was used tested car Fiat 127 which was modified on the performance car. The basic objective of this work is using computer simulations to obtain knowledge about the impact of individual body parts on the results of aerodynamic drag, downforce or lift. Based on the results, bodywork modifications will be designed to improve the aerodynamic characteristics of the body, but would not disrupt the basic shape and appearance of the vehicle. The modifications will be again sub

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32

Bati, Mégane, Stéphane Blanco, Christophe Coustet, et al. "Coupling Conduction, Convection and Radiative Transfer in a Single Path-Space: Application to Infrared Rendering." ACM Transactions on Graphics 42, no. 4 (2023): 1–20. http://dx.doi.org/10.1145/3592121.

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In the past decades, Monte Carlo methods have shown their ability to solve PDEs, independently of the dimensionality of the integration domain and for different use-cases (e.g. light transport, geometry processing, physics simulation). Specifically, the path-space formulation of transport equations is a key ingredient to define tractable and scalable solvers, and we observe nowadays a strong interest in the definition of simulation systems based on Monte Carlo algorithms. We also observe that, when simulating combined physics (e.g. thermal rendering from a heat transfer simulation), there is a

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33

Atahan, Ali O. "Finite Element Simulation of a Strong-Post W-Beam Guardrail System." SIMULATION 78, no. 10 (2002): 587–99. http://dx.doi.org/10.1177/0037549702078010001.

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Computer simulation of vehicle collisions has improved significantly over the past decade. With advances in computer technology, nonlinear finite element codes, and material models, full-scale simulation of such complex dynamic interactions is becoming ever more possible. In this study, an explicit three-dimensional nonlinear finite element code, LS-DYNA, is used to demonstrate the capabilities of computer simulations to supplement full-scale crash testing. After a failed crash test on a strong-post guardrail system, LS-DYNA is used to simulate the system, determine the potential problems with

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34

Kendon, Vivien M., Kae Nemoto, and William J. Munro. "Quantum analogue computing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1924 (2010): 3609–20. http://dx.doi.org/10.1098/rsta.2010.0017.

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We briefly review what a quantum computer is, what it promises to do for us and why it is so hard to build one. Among the first applications anticipated to bear fruit is the quantum simulation of quantum systems. While most quantum computation is an extension of classical digital computation, quantum simulation differs fundamentally in how the data are encoded in the quantum computer. To perform a quantum simulation, the Hilbert space of the system to be simulated is mapped directly onto the Hilbert space of the (logical) qubits in the quantum computer. This type of direct correspondence is ho

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35

Takahashi, Akiyuki, Masahiro Arita, and Masanori Kikuchi. "Computer Simulation of Irradiation Growth in Zirconium." Advanced Materials Research 33-37 (March 2008): 889–94. http://dx.doi.org/10.4028/www.scientific.net/amr.33-37.889.

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This paper describes the computer simulation of irradiation growths induced by neutron irradiations in zirconium using a combination of Molecular Dynamics (MD) and Kinetic Monte Carlo (KMC) methods. First, we performed the MD simulation of the displacement cascade on a defect cluster to study the interaction between the defect cluster and the displacement cascade. The MD simulations provide a lot of information on the amount of the defect production and the subsequent morphological change in the defect cluster. The results are used to make simple models that describe the nature of the displace

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36

Zhao, L., T. J. Montville, and D. W. Schaffner. "Computer Simulation of Clostridium botulinum Strain 56A Behavior at Low Spore Concentrations." Applied and Environmental Microbiology 69, no. 2 (2003): 845–51. http://dx.doi.org/10.1128/aem.69.2.845-851.2003.

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ABSTRACT It is generally assumed that spore behavior is independent of spore concentration, but recently published mathematical models indicate that this is not the case. A Monte Carlo simulation was employed in this study to further examine the independence assumption by evaluating the inherent variance in spore germination data. All simulations were carried out with @Risk software. A total of 500 to 4,000 iterations were needed for each simulation to reach convergence. Lag time and doubling time from a higher inoculum concentration were used to simulate the time to detection (TTD) at a lower

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37

Farahmand, Kambiz, Satpal Singh Wadhwa, and Mahmoud Mostafa. "INTEGRATING ANIMATION INTO TEACHING COMPUTER SIMULATION." INTERNATIONAL JOURNAL OF RESEARCH IN EDUCATION METHODOLOGY 7, no. 3 (2016): 1176–81. http://dx.doi.org/10.24297/ijrem.v7i3.3827.

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Computer simulation is an experiment using a computer model to represent a unique system.Â Variables are defined and parameters to be study are monitored and recorded. Growing caÂpabilities and decreasing costs of microcomputers are placing this powerful tool at the fingertips of scientists and engineers. In the past, the use of digital computers in simulation required a considerable amount of programming effort. This is no longer a true statement.Â Simulation provides the student with a greater breadth and depth of information on which decisions could be made. It is also considered one of th

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38

Kovács, Tamás. "Computer simulation of roundabouts." Gradus 7, no. 3 (2020): 153–58. http://dx.doi.org/10.47833/2020.3.csc.003.

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Inthe last decades numerous traffic lamp controlled intersectionshave beenchanged to roundabouts on Hungarian traffic roads, hoping that this helps diminish the usual traffic jams in these traffic contexts.The most characteristic parameter of a roundabout is the capacity that is the number of vehicles can pass through the intersection in 1 hour. The capacity calculation of the new roundabouts, beyond a formula basedcalculation, often involves computer simulation as well, so as to get more reliable results. In the present paper we introduce a development of our traffic simulator so that it is a

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39

Aidara Diouf, Alioune, and Bassirou Lo. "DIELECTRIC PROPERTIES: COMPUTER SIMULATION." International Journal of Advanced Research 8, no. 6 (2020): 972–79. http://dx.doi.org/10.21474/ijar01/11178.

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40

Paul, Ray J., and Francis Neelamkavil. "Computer Simulation and Modelling." Journal of the Operational Research Society 38, no. 11 (1987): 1092. http://dx.doi.org/10.2307/2582236.

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41

Bradley, Drake R. "Computer simulation with DATASIM." Behavior Research Methods, Instruments, & Computers 21, no. 2 (1989): 99–112. http://dx.doi.org/10.3758/bf03205564.

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42

Scott, R., M. P. Allen, and D. J. Tildesley. "Computer Simulation of Liquids." Mathematics of Computation 57, no. 195 (1991): 442. http://dx.doi.org/10.2307/2938686.

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43

Ohnaka, Itsuo. "Computer simulation of casting." Journal of Japan Institute of Light Metals 54, no. 9 (2004): 394–403. http://dx.doi.org/10.2464/jilm.54.394.

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44

Masic, Zlatan, Konny Lajhner, and Haris Pandza. "Computer Modelling and Simulation." International Journal on Biomedicine and Healthcare 9, no. 3 (2021): 173. http://dx.doi.org/10.5455/ijbh.2021.9.173-182.

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45

Красноухова, Евгения Алексеевна. "Computer simulation of solidification." Technology audit and production reserves 5, no. 2(7) (2012): 59–60. http://dx.doi.org/10.15587/2312-8372.2012.4849.

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46

Nachbar, James M. "Computer Imaging/Surgical Simulation." Plastic and Reconstructive Surgery 100, no. 7 (1997): 1905–6. http://dx.doi.org/10.1097/00006534-199712000-00045.

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47

Moretti, Sabrina. "Computer Simulation in Sociology." Social Science Computer Review 20, no. 1 (2002): 43–57. http://dx.doi.org/10.1177/089443930202000105.

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48

Kadanoff, L. P. "Excellence in computer simulation." Computing in Science & Engineering 6, no. 2 (2004): 57–67. http://dx.doi.org/10.1109/mcise.2004.1267608.

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49

Fazarinc, Z. "Computer simulation in physics." IEEE Potentials 9, no. 2 (1990): 30–33. http://dx.doi.org/10.1109/45.52998.

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50

Small, Cathy. "Computer Simulation and Ethnogrpahy." Anthropology News 42, no. 4 (2001): 21. http://dx.doi.org/10.1111/an.2001.42.4.21.

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