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Books on the topic 'Simulateurs'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 April 2025

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1

M, Rolfe J., and Staples K. J, eds. Flight simulation. Cambridge [Cambridgeshire]: Cambridge University Press, 1986.

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2

Dutaillis, Olivier. Le simulateur: Roman. [Paris]: Gallimard, 1987.

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3

Fisher, Donald L. Handbook of driving simulation for engineering, medicine, and psychology. Boca Raton: Taylor & Francis Group, 2011.

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4

A, Pourzanjani M. M., Roberts G. N, and South West Marine and Industrial Control Consortium., eds. Modelling and control of marine craft. London: Elsevier Applied Science, 1991.

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5

Bergeron, Jacques. Evaluation sur simulateur de conduite de l'efficacité du présignalment d'arrêt pour les autobus scolaires. Québec: Transports Québec, 2001.

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6

Canada. Ministère de l'environnement. Institut national de recherche en hydrologie. Simulateur numérique de l'écoulement et du transfert de masse dans des réseaux stochastiques de fractures. S.l: s.n, 1988.

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7

Ontario. Ministère des affaires civiques. Multiculturalisme soins de santé: Formation par simulateur de culture pour les professionnels des soins de santé. Toronto, Ont: Ministère des affaires civiques, 1987.

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8

Waite, Mitchell. The Waite Group's Master C: PC-based teaching system that simulates a real instructor to teach C programming. Mill Valley, CA: Waite Group Press, 1990.

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9

Rojek, Fredric W. Development of a mathematical model that simulates the longitudinal, and lateral-directional response of the F/A-18 for the study of flight control reconfiguration. Monterey, Calif: Naval Postgraduate School, 1986.

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10

Agoulon-Wageman, Line. Contribution à l'étude de la formation à la gestion de processus continus: Le cas de l'entraînement sur simulateur machine des élèves officiers de la marine marchande : activités des opérateurs et situations de formation. Lille: A.N.R.T, Université de Lille III, 1995.

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11

Dubanov, Aleksandr. Computer simulation in pursuit problems. ru: Publishing Center RIOR, 2022. http://dx.doi.org/10.29039/02102-6.

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Currently, computer simulation in virtual reality systems has a special status. In order for a computer model to meet the requirements of the tasks it models, it is necessary that the mathematical apparatus correctly describe the simulated phenomena. In this monograph, the simulation of pursuit problems is carried out. An adaptive modeling of the behavior of both pursuers and targets is carried out. An iterative calculation of the trajectories of the participants in the pursuit problem is carried out. The main attention is paid to the methods of pursuit and parallel rendezvous. These methods are taken as the basis of the study and are modified in the future. The scientific novelty of the study is the iterative calculation of the trajectories of the participants in the pursuit task when moving at a constant speed, while following the predicted trajectories. The predicted trajectories form a one-parameter network of continuous lines of the first order of smoothness. The predicted trajectories are calculated taking into account the restrictions on the curvature of the participant in the pursuit problem. The fact of restrictions on curvature can be interpreted as restrictions on the angular frequency of rotation of the object of the pursuit problem. Also, the novelty is the calculation of the iterative process of group pursuit of multiple targets, when targets are hit simultaneously or at specified intervals. The calculation of the parameters of the network of predicted trajectories is carried out with a curvature variation in order to achieve the desired temporal effect. The work also simulates the adaptive behavior of the pursuer and the target. The principle of behavior can be expressed on the example of a pursuer with a simple phrase: "You go to the left - I go to the left." This happens at each iteration step in terms of choosing the direction of rotation. For the purpose, the principle of adaptive behavior is expressed by the phrase: "You go to the left - I go to the right." The studies, algorithms and models presented in the monograph can be in demand in the design of autonomously controlled unmanned aerial vehicles with elements of artificial intelligence. The task models in the monograph are supplemented with many animated images, where you can see the research process. Also, the tasks have an implementation in a computer mathematics system and can be transferred to virtual reality systems if necessary.
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12

Sheffield, Richard G. Jet Fighter School: Air Combat Simulator Tactics and Maneuvers. Compute, 1987.

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13

NEHAOUA. Simulateur de Conduite. ISTE Editions Ltd., 2014.

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14

Brs Simulater/112. Intellimation, 1993.

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15

(Editor), Donald L. Fisher, Matthew Rizzo (Editor), Jeffrey Caird (Editor), and John D. Lee (Editor), eds. Handbook of Driving Simulation for Engineering, Medicine, and Psychology. CRC, 2009.

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16

Rizzo, Matthew, Donald L. Fisher, and Jeffrey Caird. Handbook of Driving Simulation for Engineering, Medicine, and Psychology. Taylor & Francis Group, 2011.

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17

Lee, John D., Matthew Rizzo, Donald L. Fisher, and Jeffrey Caird. Handbook of Driving Simulation for Engineering, Medicine, and Psychology. Taylor & Francis Group, 2011.

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18

Lee, John D., Matthew Rizzo, Donald L. Fisher, and Jeffrey Caird. Handbook of Driving Simulation for Engineering, Medicine, and Psychology. Taylor & Francis Group, 2011.

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19

Lee, John D., Matthew Rizzo, Donald L. Fisher, and Jeffrey Caird. Handbook of Driving Simulation for Engineering, Medicine, and Psychology. Taylor & Francis Group, 2017.

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20

Navigational Systems and Simulators: Marine Navigation and Safety of Sea Transportation. CRC Press LLC, 2012.

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21

Weintrit, Adam. Navigational Systems and Simulators: Marine Navigation and Safety of Sea Transportation. Taylor & Francis Group, 2017.

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22

Weintrit, Adam. Navigational Systems and Simulators: Marine Navigation and Safety of Sea Transportation. Taylor & Francis Group, 2017.

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23

Weintrit, Adam. Navigational Systems and Simulators: Marine Navigation and Safety of Sea Transportation. Taylor & Francis Group, 2017.

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24

Weintrit, Adam. Navigational Systems and Simulators: Marine Navigation and Safety of Sea Transportation. Taylor & Francis Group, 2017.

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25

Weintrit, Adam. Navigational Systems and Simulators: Marine Navigation and Safety of Sea Transportation. Taylor & Francis Group, 2017.

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26

Navigational systems and simulators: Marine navigation and safety of sea transportation. Boca Raton: CRC Press, 2011.

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27

Lee, Alfred T. Vehicle Simulation: Perceptual Fidelity in the Design of Virtual Environments. Taylor & Francis Group, 2017.

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28

Lee, Alfred T. Vehicle Simulation: Perceptual Fidelity in the Design of Virtual Environments. Taylor & Francis Group, 2017.

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29

Lee, Alfred T. Vehicle Simulation: Perceptual Fidelity in the Design of Virtual Environments. Taylor & Francis Group, 2017.

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30

Vehicle Simulation: Perceptual Fidelity in the Design of Virtual Environments. Taylor & Francis Group, 2017.

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31

Young, Mark S., and Michael G. Lenné. Simulators for Transportation Human Factors: Research and Practice. Taylor & Francis Group, 2017.

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32

Simulators for Transportation Human Factors: Research and Practice. Taylor & Francis Group, 2017.

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33

Young, Mark S., and Michael G. Lenné. Simulators for Transportation Human Factors. Taylor & Francis Group, 2019.

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34

Young, Mark S., and Michael G. Lenné. Simulators for Transportation Human Factors: Research and Practice. Taylor & Francis Group, 2017.

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35

Young, Mark S., and Michael G. Lenné. Simulators for Transportation Human Factors: Research and Practice. Taylor & Francis Group, 2017.

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36

Connan, Rouques. Simulateur de kholles de maths : 723 exercices corrigés de mathématiques en mpsi. Ellipses Marketing, 2002.

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37

Simulation in Aviation Training. CRC Press LLC, 2017.

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38

Simulation in Aviation Training. CRC Press LLC, 2017.

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39

Jentsch, Florian, and Michael Curtis. Simulation in Aviation Training. CRC Press LLC, 2017.

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40

Jentsch, Florian, and Michael Curtis. Simulation in Aviation Training. CRC Press LLC, 2017.

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41

Simulation in aviation training. Farnham, England: Ashgate Pub., 2011.

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42

Chang, Seong Ook. Development of a product which simulates abalone texture from Alaska Pollock (Theragra chalcogramma) Surimi. 1988.

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43

Lewis, Carroll. Alice's Adventures in a Dyslexic Wonderland: An edition printed in a font that simulates dyslexia. Evertype, 2015.

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44

Dupuy, Charles. Investisseurs Obtenez Vos Prêts Immobiliers Plus Facilement: Simulateur Avancé Inclus, Apprenez Par la Pratique Toutes les Astuces Pour Enchaîner les Investissements. Independently Published, 2022.

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45

Hitlin, Steven, and Sarah K. Harkness. Methodology and a Description of the Data. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190465407.003.0008.

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This chapter provides a primer on ACT data and analysis strategies provided by Interact, the computerized version of ACT. First, it describes the data sources for the Interact simulations before discussing how these categories of moral emotions are differentially felt across our five cultures via EPA dictionaries located in Interact. Next, it walks through an analysis strategy for generating likely moral emotional reactions across these cultures. To do so, it describes how Interact simulates social interaction by using empirically grounded, culture-specific equations.
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46

Homburg, Stefan. Traditional Topics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198807537.003.0003.

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Chapter 3 covers traditional topics of monetary macroeconomics. To acquaint readers with the present methods, it starts with conversant material, such as superneutrality of money, the Tobin effect, and forced saving. A large section is devoted to interactions between monetary and fiscal policies. This passage simulates the macroeconomic consequences of sovereign insolvencies and contains a comparison of Ricardian and non-Ricardian economies, a distinction that is crucial for policy analysis. Two closing sections pertain to price and wage rigidities. They emphasize that monetary policies have real effects in the presence of nominal frictions. According to the view sponsored here, models with sticky wages and prices do not compete with flexible price settings but rather complement them in that they shift attention to the short run.
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47

Jappelli, Tullio, and Luigi Pistaferri. The Response of Consumption to Income Risk. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199383146.003.0010.

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Tests of the importance of precautionary saving follow several research strategies. One aims to find a variable (or set of variables) that can approximate the variance of the growth rate of consumption. A second strategy seeks to estimate a reduced form for the level of consumption and wealth with proxies for income risk. A third approach simulates the path of consumption and wealth in models with precautionary saving, matching simulations with the observed distribution of wealth and consumption. Other studies provide indirect evidence for or against the precautionary saving hypothesis. Finally, some papers test the null hypothesis of the precautionary saving model (or more generally, self-insurance), in which risks can only be insured via private savings, against specific alternatives in which researchers make the source of market incompleteness explicit (positing, for instance, that it is due to private information).
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48

Mashhoon, Bahram. Linearized Nonlocal Gravity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803805.003.0007.

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The only known exact solution of the field equation of nonlocal gravity (NLG) is the trivial solution involving Minkowski spacetime that indicates the absence of a gravitational field. Therefore, this chapter is devoted to a thorough examination of NLG in the linear approximation beyond Minkowski spacetime. Moreover, the solutions of the linearized field equation of NLG are discussed in detail. We adopt the view that the kernel of the theory must be determined from observation. In the Newtonian regime of NLG, we recover the phenomenological Tohline-Kuhn approach to modified gravity. A simple generalization of the Kuhn kernel leads to a three-parameter modified Newtonian force law that is always attractive. Gravitational lensing is discussed. It is shown that nonlocal gravity (NLG), with a characteristic galactic lengthscale of order 1 kpc, simulates dark matter in the linear regime while preserving causality.
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49

Maskaeva, Asiya, and Mgeni Msafiri. Youth unemployment hysteresis in South Africa: Macro-micro analysis. 20th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/954-9.

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This study simulates the macro-micro economic impacts of the employment policy, focusing on hysteresis in youth unemployment in South Africa. Specifically, we apply a dynamic computable general equilibrium model to calibrate the 2015 South African Social Accounting Matrix to estimate, compare, and determine the impact of employment policy on youth unemployment as well as on aggregate economic outcomes. We simulate two scenarios where we reduce the import price of fuel by 20 per cent. Then, the total government savings from the reduced transport subsidy are reallocated to the education sector to support the unemployed youth. The research findings indicate that demand for youth labour increases in the long run, resulting in a decline in the unemployment rate. Moreover, the consumer price index decreased more than nominal income, thereby increasing household purchasing power and, potentially, easing poverty.
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50

Mashhoon, Bahram. Nonlocal Newtonian Cosmology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803805.003.0010.

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We explore some of the cosmological implications of nonlocal gravity (NLG) theory, in which nonlocality is due to the gravitational memory of past events. Memory dies out in space and time. The fading of memory in time implies that in NLG the strength of the gravitational interaction must decrease with cosmic time. In the Newtonian regime of NLG, the nonlocal character of gravity simulates dark matter in spiral galaxies and clusters of galaxies. However, dark matter is considered indispensable as well for structure formation in standard models of cosmology. Can nonlocal gravity solve the problem of structure formation in cosmology without recourse to dark matter? In this chapter, a beginning is made in this direction by extending nonlocal gravity in the Newtonian regime to the cosmological domain. The nonlocal analog of the Zel’dovich solution is formulated and the consequences of the resulting nonlocal Zel’dovich model are investigated in detail.
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