Academic literature on the topic 'Testing and simulation'

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Journal articles on the topic "Testing and simulation"

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Lankford, Philip M. "Testing Simulation Models." Geographical Analysis 6, no. 3 (September 3, 2010): 295–302. http://dx.doi.org/10.1111/j.1538-4632.1974.tb00514.x.

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NAKA, Tetsuo. "Material Testing and Simulation." Journal of the Japan Society for Technology of Plasticity 57, no. 669 (2016): 950–54. http://dx.doi.org/10.9773/sosei.57.950.

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Bersky, Anna K., June Krawczak, and Tara D. Kumar. "Computerized Clinical Simulation Testing." Nurse Educator 23, no. 1 (January 1998): 20–25. http://dx.doi.org/10.1097/00006223-199801000-00010.

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Stannett, Mike. "Simulation testing of automata." Formal Aspects of Computing 18, no. 1 (January 24, 2006): 31–41. http://dx.doi.org/10.1007/s00165-005-0080-y.

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Lassche, Madeline, and Barbara Wilson. "Transcending Competency Testing in Hospital-Based Simulation." AACN Advanced Critical Care 27, no. 1 (February 1, 2016): 96–102. http://dx.doi.org/10.4037/aacnacc2016952.

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Simulation is a frequently used method for training students in health care professions and has recently gained acceptance in acute care hospital settings for use in educational programs and competency testing. Although hospital-based simulation is currently limited primarily to use in skills acquisition, expansion of the use of simulation via a modified Quality Health Outcomes Model to address systems factors such as the physical environment and human factors such as fatigue, reliance on memory, and reliance on vigilance could drive system-wide changes. Simulation is an expensive resource and should not be limited to use for education and competency testing. Well-developed, peer-reviewed simulations can be used for environmental factors, human factors, and interprofessional education to improve patients’ outcomes and drive system-wide change for quality improvement initiatives.
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Shao, Guo Dong, Swee Leong, and Charles McLean. "Simulation-Based Manufacturing Interoperability Standards and Testing." Key Engineering Materials 407-408 (February 2009): 283–86. http://dx.doi.org/10.4028/www.scientific.net/kem.407-408.283.

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Software applications for manufacturing systems developed using software from different vendors typically cannot work together. Develop¬ment of custom integrations of manufacturing software incurs costs and delays that hurt industry productivity and competitiveness. Software applications need to be tested in live operational systems. It is impractical to use real industrial systems to support dynamic interoperability test¬ing and research due to: 1) access issues - manu¬facturing facilities are not open to outsiders, as proprietary data and processes may be compro¬mised; 2) technical issues - operational systems are not instrumented to support testing; and 3) cost issues - productivity suffers when actual production systems are taken offline to allow testing. Publicly available simulations do not exist to demonstrate simulation integration issues, validate potential standards solu¬tions, or dynamically test the interoperability of simulation systems and other software applica¬tions. A new, dynamic, simulation-based interoperability testing facility for manufacturing software applications is being developed at the National Institute of Standards and Technology (NIST).
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Ray, L. Bryan. "Testing biochemical data by simulation." Science 369, no. 6502 (July 23, 2020): 387.10–389. http://dx.doi.org/10.1126/science.369.6502.387-j.

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Joneson, Eric. "Trends in Distribution Simulation Testing." International Journal of Advanced Packaging Technology 2, no. 1 (February 13, 2014): 70–74. http://dx.doi.org/10.23953/cloud.ijapt.16.

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Steffelbauer, Markus. "Efficient Diagnostic Testing with Simulation." ATZelectronics worldwide 17, no. 7-8 (July 2022): 14–17. http://dx.doi.org/10.1007/s38314-022-0791-3.

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Bateman, Vesta I. "Pyroshock testing—shock simulation facilities." Journal of the Acoustical Society of America 111, no. 5 (2002): 2381. http://dx.doi.org/10.1121/1.4778079.

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Dissertations / Theses on the topic "Testing and simulation"

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Nybacka, Mikael. "Distributed vehicle testing : dynamic simulation for automotive winter testing." Licentiate thesis, Luleå : Luleå University of Technology, 2007. http://epubl.ltu.se/1402-1757/2007/28/.

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Le, Gaux Clyde R. III. "STARE CubeSat Communications Testing, Simulation and Analysis." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17397.

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Approved for public release; distribution is unlimited
The Space-based Telescope for the Actionable Refinement of Ephemeris (STARE) CubeSat will play an important role in contributing to this nations space situational awareness (SSA), perhaps one day becoming an integral part of the space surveillance network (SSN) to track orbital debris and satellites, both active and inactive. STARE is a pathfinder mission that is expected to show that CubeSat assets can improve the accuracy of space debris ephemeris data and help national assets avoid conjunction. However, STARE cannot do its job if it cannot communicate effectively with the ground architecture. Knowing the functionality of the on board radio is essential to knowing the capabilities and limitations of the spacecraft. STARE is designed to communicate with the Mobile CubeSat Command and Control (MC3) ground station at the Naval Postgraduate School for data collection and analysis. This thesis shows testing and results, analysis and simulation of the STARE radio and the MC3 ground stations.
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Malcolm-Smith, Susan. "Testing Revonsuo's Threat simulation theory of dreaming." Master's thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/12414.

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Includes bibliographical references (leaves 74-82).
Revonsuo's Threat Simulation Theory of dreaming asserts that dreaming was selected during human evolution because it has the adaptive function of providing a threat-free context in which threat perception and avoidance can be rehearsed. This study aimed to test the prediction that the threat simulation mechanism will activate differently depending on waking exposure to ecologically valid threat cues. It also compared the impact of waking threat events on dream content with that of waking positive events, as TST asserts that only threat impacts on dream content. Data was collected from three contexts: a high threat context (the Western Cape in South Africa; n=208); a medium threat context (a black southern university in the US; n=34); and a low threat context (North Wales; n=116). Questionnaires included a Most Recent Dream report, details of exposure to walking threatening and positive events, and dreams of such events.
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Du, Lifang. "A simulation study of global model testing." View electronic thesis (PDF), 2009. http://dl.uncw.edu/etd/2009-3/rp/dul/lifangdu.pdf.

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Noone, Estelle S., Kevin Parker, and Janice Swope. "DEVELOPMENT OF PC-BASED SPACECRAFT SIMULATOR FOR EOS GROUND SYSTEM TESTING." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/606810.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Spacecraft communication simulators are extremely useful for integration and testing of spacecraft control centers and supporting ground systems. To reduce development costs, a Windows NT PC-based simulation system is being developed to support testing for upcoming NASA missions. The spacecraft simulation suite of tools integrates modules within a core infrastructure and is customized to meet mission unique specifications not met by the baseline system.
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Gonen, Ofer. "Sequential multiple comparison testing for budget-limited applications." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FGonen.pdf.

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Cedrini, Luca. "Time Sensitive Networks: analysis, testing, scheduling and simulation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22305/.

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The industrial automation world is an extremely complex framework, where state-of-the-art cutting edge technologies are continuously being replaced in order to achieve the best possible performances. The criterion guiding this change has always been the productivity. This term has, however, a broad meaning and there are many ways to improve the productivity, that go beyond the simplistic products/min ratio. One concept that has been increasingly emerging in the last years is the idea of interoperability: a flexible environment, where products of different and diverse vendors can be easily integrated togheter, would increase the productivity by simplifying the design and installation of any automatic system. Connected to this concept of interoperability is the Industrial Internet of Things (IIoT), which is one of the main sources of the industrial innovation at the moment: the idea of a huge network connecting every computer, sensor or generic device so as to allow seamless data exchange, status updates and information passing. It is in this framework that Time Sensitive Networks are placed: it is a new, work-in-progress set of communication standards whose goal is to provide a common infrastructure where all kinds of important data for an industrial automation environment, namely deterministic and non deterministic data, can flow. This work aims to be an initial step towards the actual implementation of the above-mentioned technology. The focus will therefore be not only on the theoretical aspects, but also on a set of practical tests that have been carried out in order to evaluate the performances, the required hardware and software features, advantages and drawbacks of such an application.
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Fettig, Heiko M. "Design, simulation and testing of micromachined flexible joints." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ63476.pdf.

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Whaballa, Ala. "Reservoir simulation and well testing of compartmentalized reservoirs." Thesis, Heriot-Watt University, 1991. http://hdl.handle.net/10399/1493.

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Peterson, Andrew William. "Simulation and Testing of Wave-Adaptive Modular Vessels." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/54555.

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This study provides a comprehensive performance analysis of Wave-Adaptive Modular Vessels (WAM-V) using simulations and testing data. WAM-Vs are a new class of marine technology that build upon the advantages of lightweight, low-draft, catamaran construction. Independent suspensions above the hulls isolate the passengers and equipment from the harsh sea environment. Enhanced understanding of the relationship between suspension and vehicle performance is critical for future missions of interest to the U.S. Navy. Throughout this study, the dynamic properties of three different WAM-Vs were evaluated. A multi-body dynamics simulation was developed for the 100-ft WAM-V 'Proteus' based on an automotive 4-post shaker rig. The model was used to characterize the sensitivities of different suspension parameters and as a platform for future models. A 12-ft unmanned surface vessel (USV) was instrumented and sea trials were conducted in the San Francisco Bay. A dynamic 4-post simulation was created for the USV using displacement inputs calculated from acceleration data via a custom integration scheme. The data was used to validate the models by comparing the model outputs to sensor data from the USV. A vertical hydrodynamics testing rig was developed to investigate the interaction between the pontoons and the water surface to improve the understanding of how hydrodynamic forces affect suspension performance. A model was created to accurately simulate the hydrodynamic forces that result from vertical pontoon motion. The model was then scaled to fit a 33-ft WAM-V prototype. The 33-ft WAM-V was instrumented and sea trials were conducted in Norfolk, VA. The WAM-V's suspension was upgraded based on the testing results. A 2-post rig was also built for evaluating the 33-ft WAM-V's dynamics. Two dynamic models were made for the 33-ft WAM-V to evaluate different suspension designs. The results from this study have numerous impacts on the naval community and on the development of WAM-Vs. The methodology for testing and evaluation will allow for future WAM-V designs to be compared under controlled circumstances. The performance of WAM-Vs can then be compared against conventional platforms to determine their suitability for future missions. Simulation development will enable future WAM-Vs to be evaluated prior to undergoing sea trials. The hydrodynamic models become a powerful design tool that can be easily scaled and combined with the 4-post models. By providing the simulations and test data to future vessel designers, the designers will be able to intelligently evaluate numerous iterations early in the design phase, improving performance and safety.
Ph. D.
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Books on the topic "Testing and simulation"

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Miczo, Alexander. Digital logic testing and simulation. 2nd ed. Hoboken, NJ: Wiley-Interscience, 2002.

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Digital logic testing and simulation. New York: Wiley, 1987.

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Miczo, Alexander. Digital logic testing and simulation. New York: John Wiley & Sons, 1986.

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Digital logic testing and simulation. 2nd ed. Hoboken, NJ: Wiley-Interscience, 2003.

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Engineers, Society of Automotive, and Commercial Vehicle Engineering Congress and Exhibition (2006 : Chicago, Ill.), eds. Design modeling, testing and simulation. Warrendale, PA: Society of Automotive Engineers, 2006.

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Digital logic testing and simulation. New York: Harper & Row, 1986.

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Gühmann, Clemens, Jens Riese, and Klaus von Rüden, eds. Simulation and Testing for Vehicle Technology. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32345-9.

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Germany) Conference on Simulation and Testing for Automotive Electronics (6th 2014 Berlin. Simulation and testing for automotive electronics V. Renningen: Expert Verlag, 2014.

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Murray-Smith, David J. Testing and Validation of Computer Simulation Models. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15099-4.

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Virtual testing of mechanical systems: Theories and techniques. Exton (PA): Swets & Zeitlinger Publishers, 2001.

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Book chapters on the topic "Testing and simulation"

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Crandall, Earl. "Simulation." In Power Supply Testing Handbook, 37–61. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6055-5_2.

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Crandall, Earl. "Simulation." In Power Supply Testing Handbook, 37–61. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-4692-8_2.

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Krstić, Angela, and Kwang-Ting Cheng. "Delay Fault Simulation." In Frontiers in Electronic Testing, 77–100. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5597-1_6.

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Mühlberger, Heinz, and Ulrich Stricker. "Dynamic Corrosion Testing at BMW." In Automotive Simulation ’91, 235–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84586-4_20.

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Clauser, Brian E., Melissa J. Margolis, and Jerome C. Clauser. "Issues in Simulation-Based Assessment." In Technology and Testing, 49–78. New York: Routledge, 2015. http://dx.doi.org/10.4324/9781315871493-3.

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Veanes, Margus, and Nikolaj Bjørner. "Alternating Simulation and IOCO." In Testing Software and Systems, 47–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16573-3_5.

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Topçu, Okan, Umut Durak, Halit Oğuztüzün, and Levent Yilmaz. "Implementation, Integration, and Testing." In Simulation Foundations, Methods and Applications, 203–30. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-03050-0_9.

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Hu, Xiao, Yoshihiko Nonomura, and Masanori Kohno. "Monte Carlo Simulation." In Springer Handbook of Metrology and Testing, 1117–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16641-9_22.

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Prášková, Zuzana. "Bootstrap Change Point Testing for Dependent Data." In Statistics and Simulation, 53–67. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76035-3_4.

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Hamdioui, Said. "Preparation for circuit simulation." In Testing Static Random Access Memories, 65–84. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4757-6706-3_4.

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Conference papers on the topic "Testing and simulation"

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Seedhouse, Erik. "Flight Simulation Training Device Qualification for Suborbital Spaceflight Simulator." In AIAA Flight Testing Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-3976.

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Fash, James W., John G. Goode, and Roger G. Brown. "Advanced Simulation Testing Capabilities." In International Conference On Vehicle Structural Mechanics & Cae. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1992. http://dx.doi.org/10.4271/921066.

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Zywiol, Harry J., Mark J. Brudnak, and Ronald R. Beck. "Physical Simulation Trailer Testing." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1995. http://dx.doi.org/10.4271/950414.

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Myers, D., N. Vincent, K. O'Loughlin, D. Marks, C. Snyder, K. P. White, R. Fairbrother, and W. Terry. "Simulation-based requirements testing." In Proceedings of the 2003 IEEE Systems and Information Engineering Design Symposium. IEEE, 2003. http://dx.doi.org/10.1109/sieds.2003.158023.

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Jeong, M. A., D. Kim, J. Oh, H. Yuxi, H. K. Min, and I. Song. "Decoding of MIMO Systems with Hypothesis Testing Technique." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.698-007.

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Daniel, Derick. "A General Simulation of an Air Ejector Diffuser System." In 28th Aerodynamic Measurement Technology, Ground Testing, and Flight Testing Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-3292.

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Wang, Danyi, Shanping Jiang, Shaopu Wang, and LINHUA YANG. "Heat flux simulation irradiation system design." In Optical Design and Testing IX, edited by Pablo Benítez, Osamu Matoba, and Yongtian Wang. SPIE, 2019. http://dx.doi.org/10.1117/12.2536467.

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Burke, Roger. "Operations testing in a concurrent development environment." In Flight Simulation Technologies Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-3502.

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BARTLETT, C. "Icing testing cloud simulation requirements." In 27th Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-736.

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Barton, Russel R. "Testing strategies for simulation optimization." In the 19th conference. New York, New York, USA: ACM Press, 1987. http://dx.doi.org/10.1145/318371.318618.

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Reports on the topic "Testing and simulation"

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Rutherford, Matthew J., Antonio Carzaniga, and Alexander L. Wolf. Simulation-Based Testing of Distributed Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada444809.

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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), February 2017. http://dx.doi.org/10.2172/1343541.

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Wiederhold, Mark D. Physiological Monitoring During Simulation Training and Testing. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada436158.

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

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Hodge, Tony F. Modeling and Simulation in Support of Testing and Evaluation. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada397905.

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Bailey, Michael P. Object-Oriented Simulation Pictures (OOSPICs) for Design and Testing. Fort Belvoir, VA: Defense Technical Information Center, February 1994. http://dx.doi.org/10.21236/ada278798.

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Cohen, Paul R., David Jensen, Marc Atkin, Zachary Eyler-Walker, and Tim Oates. Course of Action Simulation, Testing, Evaluation and Revision (COASTER). Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada421427.

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Gorton, Jacob, Shay Chapel, David Felde, Dan Sweeney, and Joel McDuffee. Testing and Simulation of an Updated Cartridge Loop Vehicle. Office of Scientific and Technical Information (OSTI), May 2022. http://dx.doi.org/10.2172/1874649.

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none,. FY2014 Vehicle and Systems Simulation and Testing Annual Progress Report. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1220549.

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Glaser, Robert J. Simulation of the Dynamic Environment for Missile Component Testing: Theory. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada217090.

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