Relevant bibliographies by topics / Simulation software

Contents

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

Academic literature on the topic 'Simulation software'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Simulation software"

1

Harwood, Keith. "Simulation software." New Scientist 193, no. 2590 (2007): 19. http://dx.doi.org/10.1016/s0262-4079(07)60336-4.

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Lepley, Cyndi J. "Simulation Software." JONA: The Journal of Nursing Administration 31, no. 7/8 (2001): 377–85. http://dx.doi.org/10.1097/00005110-200107000-00009.

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Sadeghi, Payman, and Michael D. Utzinger. "Simulation Software Application." International Journal of Environmental Sustainability 8, no. 1 (2012): 131–46. http://dx.doi.org/10.18848/2325-1077/cgp/v08i01/55040.

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Banerjee, S. "CMS Simulation Software." Journal of Physics: Conference Series 396, no. 2 (2012): 022003. http://dx.doi.org/10.1088/1742-6596/396/2/022003.

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Holder, Karen. "Selecting simulation software." OR Insight 3, no. 4 (1990): 19–24. http://dx.doi.org/10.1057/ori.1990.32.

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Galić, Mario, Ralf Thronicke, Benjamin Michael Schreck, Immo Feine, and Hans-Joachim Bargstädt. "PROCESS MODELING AND SCENARIO SIMULATION IN CONSTRUCTION USING ENTERPRISE DYNAMICS SIMULATION SOFTWARE." Elektronički časopis građevinskog fakulteta Osijek 6, no. 10 (2015): 22–29. http://dx.doi.org/10.13167/2015.10.3.

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Corti, Gloria, Adam Davis, Michał Kreps, Michal Mazurek, Dmitry Popov, and Benedetto Gianluca Siddi. "New software technologies in the LHCb Simulation." Journal of Physics: Conference Series 2438, no. 1 (2023): 012108. http://dx.doi.org/10.1088/1742-6596/2438/1/012108.

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Abstract Monte Carlo simulations are key to the design and commissioning of new detectors as well as the interpretation of physics measurements. The amount of simulated samples required for the Run 3 physics program of the LHCb experiment will increase significantly from 2022 onward to match the increase in the amount of data collected with respect to Run 1 and 2 operation. A new version of the LHCb Gauss simulation framework has been developed to better accommodate new simulation techniques and software technologies to produce the necessary samples within the computing resources allocated for
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Wang, Shihao. "Software Simulation for Hardware/Software Co-Verification." Journal of Computer Research and Development 42, no. 3 (2005): 514. http://dx.doi.org/10.1360/crad20050322.

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Shaikh, Habib, Rishabh Mehra, Sagar Mhatre, and Deepali Vora. "Psychoanalysis using Software Simulation." International Journal of Computer Applications 182, no. 47 (2019): 6–9. http://dx.doi.org/10.5120/ijca2019918700.

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Hutagalung, Cerlinto. "Banker Algorithm Simulation Software." Instal : Jurnal Komputer 12, no. 02 (2021): 61–68. http://dx.doi.org/10.54209/jurnalkomputer.v12i02.22.

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Banker's algorithm is an algorithm that models a bank in a small town dealing with a set of customers. This banker algorithm is used to deal with queuing problems in banking. In this case, one of them is how to simulate queues in banking. In this study, the design and manufacture of simulation software is used to help simulate whether a system is in a safe state or an unsafe state, in a safe condition the process is continued but if the process is unsafe the process is delayed until the system is in a safe state. The result of this research is a banker algorithm simulation software that models
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Dissertations / Theses on the topic "Simulation software"

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Mårtensson, Frans, and Per Jönsson. "Software Architecture Simulation." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4087.

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A software architecture is one of the first steps towards a software system. A software architecture can be designed in different ways. During the design phase, it is important to select the most suitable design of the architecture, in order to create a good foundation for the system. The selection process is performed by evaluating architecture alternatives against each other. We investigate the use of continuous simulation of a software architecture as a support tool for architecture evaluation. For this purpose, we study a software architecture of an existing software system in an experimen
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Calle, Juan Carlos. "Indoor propagation simulation software." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA383980.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, Sept.ember 2000.<br>Thesis advisors, Lebaric, Jovan ; Adler, Richard. "September 2000." Includes bibliographical references (p. 45-46). Also available online.
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Marques, João Miguel Resende. ""GWB" simulation software development." Master's thesis, Universidade de Aveiro, 2009. http://hdl.handle.net/10773/1768.

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Mestrado em Engenharia e Gestão Industrial<br>Nas últimas décadas, a evolução da indústria alcançou uma extrema importância na nossa vida pessoal e também no comportamento empresarial. O conjunto de ferramentas existentes nos computadores representam um papel fundamental na comunicação, nas estratégias, nas decisões, nos sistemas de análise de processos das nossas empresas, entre outras. Os software são normalmente concebidos para permitir aos os seres humanos realizar tarefas para as quais o cérebro humano não é capaz, tais como: manipulação de grandes quantidades de informação, realização de
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Wu, Chun-ho. "Learning marketing through simulation software." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B40040239.

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Ippolito, Corey A. "Software architectures for flight simulation." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/15749.

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Wu, Chun-ho, and 胡俊豪. "Learning marketing through simulation software." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B40040239.

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Persson, Simon. "Simulation of processing equipment and evaluation of simulation software." Thesis, Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79073.

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The cab assembly line in Oskarshamn is one of the world's most high tech production unit. With close to 300 robots the cab is assembled with merely programmed robots and no input from humans. Scania CV AB is a world leading manufacturer of trucks with high influence on the market globally. Even though robots do most of the work, there have been human brains behind the robot execution, and there is constant work ongoing to further increase efficiency and cycle times to meet the increasing global demand for logistics services. The robots are mainly programmed offline, using the ABB software Robo
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Israeli, Gilad. "Software Simulation of Numerically Controlled Machining." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2921.

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The field of numerically controlled (NC) machining has long been interested with predicting and measuring the errors in machining. Creating a simulation of NC machining is one way of achieving this. This thesis presents one such implementation of an NC simulation. It also runs a number of numerical and physical tests to verify the simulation?s correctness. The numerical tests show that the simulator work correctly as well as providing guide lines for appropriate simulation parameters. The physical tests show that the results of the simulation match the results of real NC machi
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Shynkariuk, Oleksandr. "Production Cell Simulation and Control Software." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-30639.

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Control software plays an important role in industrial automation. Several domainspecific languages for control software implementation were designed and accepted in industry. Structured Text (ST)[1] is one of these languages. It is standardized by IEC 61131-3 standard and designed for programmable logic controllers. In this thesis two implementations of control software were developed: Java implementation as a reference model, and ST implementation as a test scenario for ST to C compiler. The functionality of both implementations was compared using the simulation model. It was concluded that
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Richards, A. J. "Simulation, software and first ATLAS physics." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1318105/.

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Updates to the ATLAS fast simulation software are presented which improve the flexibility of its calorimeter and reconstructor objects allowing the easy implementation of new and unforeseen detector effects. Both hot and dead cell types are studied as initial examples and can be seen to be working as expected. A suite of jet finding algorithms known as ‘FastJet’ is introduced and linked into the ATLAS code framework to help unify the description of jets between fast and full simulations as well as in the reconstruction of data. Preparations for an early-data supersymmetry search in the 0-lepto
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Books on the topic "Simulation software"

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Nutaro, James J. Building Software for Simulation. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470877999.

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Calle, Juan Carlos. Indoor propagation simulation software. Naval Postgraduate School, 2000.

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D, Lee J., ed. Simulation software for robotics. Pergamon Press, 1989.

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O'Malley, Douglas Michael. Evaluation of building energy simulation software. National Library of Canada, 1993.

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Kostyuk, Leonid Yu, Irina V. Krivykh, and Stanislav G. Slusarenko. Power grid simulation software IndorElectra: User’s guide. Tomsk state university, 2008. http://dx.doi.org/10.17273/book.2008.4.

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A, Quincy E., and United States. National Telecommunications and Information Administration, eds. Radio link performance prediction via software simulation. U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1999.

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United States. National Aeronautics and Space Administration, ed. Orbital flight simulation utility software unit specifications. System Development Division, TRW Defense Systems Group, 1986.

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Information, Advanced Manufacturing, ed. Simulation and analysis software for engineering design. Institution of Electrical Engineers, 1985.

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Tausworthe, Robert C. A general software reliability process simulation technique. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1991.

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Inc, MathWorks, ed. SIMULINK: Dynamic system simulation software : release notes. MathWorks, Inc., 1994.

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Book chapters on the topic "Simulation software"

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Robinson, Stewart. "Inside Simulation Software." In Simulation. Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-32803-8_2.

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Robinson, Stewart. "Software for Simulation." In Simulation. Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-32803-8_3.

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Yang, Yang, Jing Xu, Guang Shi, and Cheng-Xiang Wang. "Software Simulation." In 5G Wireless Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61869-2_4.

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Allen, B. W. "Software Simulation." In Analogue Electronics for Higher Studies. Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13364-2_12.

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Münch, Jürgen, Ove Armbrust, Martin Kowalczyk, and Martín Soto. "Software Process Simulation." In The Fraunhofer IESE Series on Software and Systems Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24291-5_7.

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Nagasaki, Masao, Ayumu Saito, Atsushi Doi, Hiroshi Matsuno, and Satoru Miyano. "Pathway Simulation Software." In Foundations of Systems Biology. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-023-4_3.

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Zeng, Gengsheng Lawrence, and Megan Zeng. "Circuit Simulation Software." In Electric Circuits. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60515-5_10.

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Walker, Robert J., and Reid Holmes. "Simulation." In Recommendation Systems in Software Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45135-5_12.

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Garrido, Joés M. "Programs and Software Development." In Object Oriented Simulation. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0516-1_4.

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Laschet, Andreas. "Struktur der Software für die Schwingungssimulation." In Fachberichte Simulation. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83531-5_12.

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Conference papers on the topic "Simulation software"

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Chaves, Rafael O., Elói L. Favero, Emanuel M. da C. Tavares, and Sandro R. B. Oliveira. "A Software Process Simulator Machine for Software Engineering Simulation Games." In 2010 Brazilian Symposium on Games and Digital Entertainment (SBGAMES). IEEE, 2010. http://dx.doi.org/10.1109/sbgames.2010.35.

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Deng, Ziyan. "BESIII Simulation Software." In XI International Workshop on Advanced Computing and Analysis Techniques in Physics Research. Sissa Medialab, 2009. http://dx.doi.org/10.22323/1.050.0043.

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Markt, Pam Laney, and Michael H. Mayer. "WITNESS simulation software." In the 29th conference. ACM Press, 1997. http://dx.doi.org/10.1145/268437.268613.

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Wagner, Stefan, Dirk Pflüger, and Miriam Mehl. "Simulation software engineering." In SC15: The International Conference for High Performance Computing, Networking, Storage and Analysis. ACM, 2015. http://dx.doi.org/10.1145/2830168.2830171.

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Schriber, Thomas J., and Daniel T. Brunner. "Inside simulation software." In the 28th conference. ACM Press, 1996. http://dx.doi.org/10.1145/256562.256566.

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Banks, Jerry. "Software for simulation." In the 28th conference. ACM Press, 1996. http://dx.doi.org/10.1145/256562.256568.

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Banks, Jerry. "Software for simulation." In the 25th conference. ACM Press, 1993. http://dx.doi.org/10.1145/256563.256575.

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Banks, Jerry. "Software for simulation." In the 27th conference. ACM Press, 1995. http://dx.doi.org/10.1145/224401.224414.

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Schriber, Thomas J., and Daniel T. Brunner. "Inside simulation software." In the 27th conference. ACM Press, 1995. http://dx.doi.org/10.1145/224401.224441.

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Reiso, Edel, Haakon Hoegstoel, Vegard Kippe, et al. "Lessons Learned in Using Open-Source Simulation Software on Real Asset Models." In SPE Reservoir Simulation Conference. SPE, 2025. https://doi.org/10.2118/223851-ms.

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Abstract An open-source flow simulator (OPM Flow) has been developed for modelling of flow in porous media. This is an extended black oil simulator, including thermal modelling, salinity, and CO2 storage modelling in aquifers with several corresponding and extended EOS functionalities. The OPM Flow simulator has been implemented on several real asset models for hydrocarbon production, for ensembles of simulation models. The simulator has also been used for CCS in saline aquifers (Carbon Capture and Storage). This paper describes the experiences in using open-source simulation software for stud
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Reports on the topic "Simulation software"

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Ketcham, Ronald L., and Paul R. Muessig. Software Engineering and Simulation Credibility. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada405033.

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Goldsby, Michael E., Daniel Fellig, John Michael Linebarger, Patrick Curtis Moore, Timothy J. Sa, and Marilyn F. Hawley. Integrating software architectures for distributed simulations and simulation analysis communities. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/875606.

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Ozmen, Ozgur, James J. Nutaro, Jibonananda Sanyal, and Mohammed M. Olama. Simulation-based Testing of Control Software. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1343541.

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Scott, Andrew. Development of Simulation Software for NPT-MD. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada429450.

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Nichols, James, Thomas J. Magyar, and Eric C. Schug. A Cross-Platform Multi-Simulation Software Executive. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada350847.

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Quincy, Edmund, Robert Achatz, Michael Cotton, Jeanne Ratzloff, and Michael Roadifer. Radio Link Performance Prediction via Software Simulation. Institute for Telecommunication Sciences, 1999. https://doi.org/10.70220/rbjhwgb9.

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Frazier, John, Yaroslav Chusak, and Brent Foy. Stochastic Simulation of Biomolecular Reaction Networks Using the Biomolecular Network Simulator Software. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada484775.

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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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Brennan, Sean M. Distributed Sensor Network Software Development Testing through Simulation. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/833222.

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Cole, Paul, Bob Bassett, Marcia Herndon, Paul Collins, and Kathy Jacobson. Simulation Assessment Validation Environment (SAVE). Software User's Manual. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada388744.

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