Academic literature on the topic 'Military modeling'
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Journal articles on the topic "Military modeling"
Eller, A. "Military modeling." IEEE Journal of Oceanic Engineering 11, no. 1 (January 1986): 135. http://dx.doi.org/10.1109/joe.1986.1145136.
Full textPenev, Valentine. "Simulation Modeling in Military Affairs: Status and Perspectives." Information & Security: An International Journal 1, no. 1 (1998): 91–102. http://dx.doi.org/10.11610/isij.0107.
Full textKolodinskaya, V. I., and V. Yu Nefyodova. "THE EXPERIENCE OF TEACHING THE THEME “MODELLING” BASED ON SOLVING APPLIED MILITARY CASES." Informatics in school, no. 9 (December 18, 2019): 7–15. http://dx.doi.org/10.32517/2221-1993-2019-18-9-7-15.
Full textCohen, Eliot A., and Wayne P. Hughes. "Military Modeling for Decision Making." Foreign Affairs 76, no. 6 (1997): 159. http://dx.doi.org/10.2307/20048303.
Full textFeighner, Brian H., Stephen Eubank, Robert J. Glass, Victoria J. Davey, Jean-Paul Chrétien, and Joel C. Gaydos. "Infectious Disease Modeling and Military Readiness." Emerging Infectious Diseases 15, no. 9 (September 2009): e1-e1. http://dx.doi.org/10.3201/eid1509.090702.
Full textShliakhovoi, Dmitrii A. "Modeling of a Generalized Speech Portrait of a Blogger (as Exemplified in the German Military Blogosphere)." RUDN Journal of Language Studies, Semiotics and Semantics 10, no. 4 (December 15, 2019): 879–92. http://dx.doi.org/10.22363/2313-2299-2019-10-4-879-892.
Full textSmelik, Ruben M., Tim Tutenel, Klaas Jan de Kraker, and Rafael Bidarra. "Declarative Terrain Modeling for Military Training Games." International Journal of Computer Games Technology 2010 (2010): 1–11. http://dx.doi.org/10.1155/2010/360458.
Full textPOPA, Brîndușa Maria. "Organisational Culture – Modeling Factor of Military Leadership." Romanian Military Thinking 2022, no. 1 (February 2022): 198–213. http://dx.doi.org/10.55535/rmt.2022.1.11.
Full textTsybulko, Alexey Alexandrovich, and Alexander Nikolaevich Dakhin. "Modeling of Formation of Readiness of Cadets of Military Institutions of the Troops of the National Guard of the Russian Federation for Command Activity." Siberian Pedagogical Journal, no. 6 (December 27, 2021): 101–14. http://dx.doi.org/10.15293/1813-4718.2106.11.
Full textSong, Guo Jun, Xiao Dong Mu, and Rui Hua Chang. "Research on Entity Modeling Method in Agent-Based CGF Simulation." Applied Mechanics and Materials 121-126 (October 2011): 2185–89. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.2185.
Full textDissertations / Theses on the topic "Military modeling"
Kaptan, Varol. "MODELING AUTONOMOUS AGENTS IN MILITARY SIMULATIONS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3825.
Full textPh.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Science
Muehl, Timothy John. "Modeling civilians and the civil-military interactions." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA288646.
Full textVILLARMOSA, ALEXANDRE DE MENEZES. "COMPUTATIONAL MODELING AGENTS BASED ON MILITARY DOCTRINE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25293@1.
Full textDesde o início de do século XIX, simulações de combate são utilizadas em treinamentos militares. Para que um treinamento ocorra de forma confiável é necessário envolver uma grande quantidade de militares nos adestramentos. No final de 1940, a ideia de agentes computacionais em inteligência artificial se mostrou uma excelente ferramenta, contribuindo para reduzir esta quantidade de pessoas envolvidas nas simulações de combate. Agentes capazes de perceber o ambiente em que estão inseridos e tomar decisões, agindo sobre ele, seguindo um conjunto de regras podem representar o comportamento de um soldado. Agentes inseridos numa simulação militar devem então, perceber o campo de batalha e tomar uma série de ações com base em uma doutrina militar. Logo, o objetivo deste trabalho é apresentar, através da modelagem de agentes computacionais uma definição do comportamento destes baseados na doutrina militar, para que estes agentes possam substituir parte dos militares evolvidos em uma simulação de combate, sem afetar a confiabilidade desta. Além de tornar os sistemas de simulação mais eficientes reduzindo a quantidade de militares necessária para a sua correta aplicação, este trabalho também ajuda a verificar a consistência lógica das ações descritas nos manuais doutrinários.
Since the beginning of nineteenth century combat simulations are used in military training. It s necessary to involve lots of military to these trainings occur reliably. In the late 1940s the idea of computational agents was developed in artificial intelligence and showed as an excellent tool to reduce the amount of personnel involved in combat simulations. Agents perceive the environment where they are inserted and take actions upon it following a set of rules. That reminds the behavior of a soldier. A soldier, or a group of then, perceive the battlefield and take a series of actions based on military doctrine. Therefore, the scope of this work is to present a viable way to define the behavior of computational agents based on military doctrine, so that they can replace some of the personnel involved in a combat simulation without affecting the reliability of the training in course. In addition making more efficient simulation systems, reducing the amount of required military for its proper implementation, can also help to check the logical consistency of the actions planned in the doctrinal manuals.
Coombs, Aaron. "Modeling Attrition in a Military Selection Context." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/100781.
Full textM.S.
The study analyzed attrition from a military special operations selection program to determine what combination of individual differences measured before the program best predicted attrition during the program. The individual differences measured prior to the program were physical abilities, cognitive abilities, and personality. Archival data from 748 candidate records spanning eight different classes during 2019 was analyzed. Attrition is the departure of an individual from an organization, or from a hiring process. This study dealt with attrition from a hiring, or personnel selection process, which is less commonly studied than attrition from within an organization. Secondary purposes of the study included how attrition from the first week of the program differed from the remaining seven weeks, and determining if a specific broad personality profile best predicted attrition. The study found additional results that were not anticipated, specifically, that the military sample differed meaningfully on important dimensions of the Jackson Personality Inventory-Revised (JPI-R) personality scales, in comparison with previous study samples (Detwiler & Ramanaiah, 1996; Paunonen & Jackson, 1996). The practical result of the study was a mathematical prediction model that incorporated a candidate’s scores on pushups, sit-ups, 2-mile run, performance IQ, and three personality variables, and calculates a candidates’ probability of success. The three personality variables that predicted success were scores for sociability, and two composites—a Conscientiousness Composite and an Openness Composite. Mathematical models for week 1 attrition and attrition from weeks 2-8 differed from the 8-week attrition model, and from each other, suggesting that attrition during different timeframes is due to different reasons. Physical predictors: 2 mile run score, pushups score, and sit-ups score, were strong predictors of success for each of the time periods. Verbal IQ did not predict for any time period, while performance IQ predicted 8-week success, and success during the week 2-8 time period. Personality predictors varied the most by timeframe, although a component of Conscientiousness predicted strongly for each timeframe. Openness-related personality facets predicted for 8-week success and success from week 1 with a negative relationship. In contrast, Anxiety, a related sub-facet of Neuroticism, predicted moderately (negative relationship) for success only from weeks 2-8. Unexpected findings included the military sample’s different factor structure on the JPI-R, the dominance of the physical predictors in all models, and the strength of personality predictors relative to cognitive abilities. Implications for military and similar types of selection contexts, where selection through training includes a significant physical component, such as police or firefighters, are discussed.
Anderson, Colin M. "Generalized weapon effectiveness modeling." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FAnderson.pdf.
Full textDickie, Alistair James. "Modeling robot swarms using agent-based simulation." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FDickie.pdf.
Full textHall, Andrew O. "Simulating and optimizing military manpower modeling and mountain range options /." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9299.
Full textThesis research directed by: .University of Maryland (College Park, Md.) College of Business and Management . Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Saltmarsh, Elizabeth. "A modeling trade-off forecasting environment for military aircraft sustainment." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53587.
Full textJungkunz, Patrick. "Modeling human visual perception for target detection in military simulations." Monterey, Calif. : Naval Postgraduate School, 2009. http://handle.dtic.mil/100.2/ADA501666.
Full textDissertation Advisor(s): Darken, Christian J. "June 2009." Description based on title screen as viewed on July 10, 2009. DTIC Identifiers: Human visual perception, visual attention, eye tracking, human behavior modeling, visual search, semantic relevance, relevance mapa. Author(s) subject terms: Human Visual Perception, Visual Attention, Eye Movements, Eye Tracking, Human Behavior Modeling, Target Detection, Visual Search, Semantic Relevance, Relevance Map. Includes bibliographical references (p. 145-149). Also available in print.
Campbell, Benjamin W. "Supervised and Unsupervised Machine Learning Strategies for Modeling Military Alliances." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1558024695617708.
Full textBooks on the topic "Military modeling"
Jones, Kim. Modeling military miniatures: Tips, tools & techniques. Atglen, PA: Schiffer Publishing, 1995.
Find full textJones, Kim. Modeling weapons & accessories for military miniatures. Atglen, PA: Schiffer Pub., 1996.
Find full textModeli v sisteme prini︠a︡tii︠a︡ voenno-strategicheskikh resheniĭ v SSSR. Moskva: Imperium Press, 2005.
Find full textJones, Kim. Modeling militaryminiatures: Tips, tools & techniques. Atglen, PA: Schiffer Publishing, 1995.
Find full textElliott, Marc N. Modeling the departure of military pilots from the service. Santa Monica, CA: Rand, 2004.
Find full textElliott, Marc N. Modeling the departure of military pilots from the service. Santa Monica, CA: Rand, 2001.
Find full textKhomenko, I︠U︡ P. Matematicheskoe modelirovanie vnutriballisticheskikh prot︠s︡essov v stvolʹnykh sistemakh. Novosibirsk: Izd-vo Sibirskogo otdelenii︠a︡ Rossiĭskoĭ akademii nauk, 1999.
Find full textZaloga, Steve. Modeling US armor of World War 2. Oxford: Osprey, 2009.
Find full textAllen, Patrick D. Modeling global positioning system effects in the TLC/NLC model. Santa Monica, CA: Rand, 1994.
Find full textL, Adams John. Modeling and forecasting the demand for aircraft recoverable spare parts. Santa Monica, CA: Rand, 1993.
Find full textBook chapters on the topic "Military modeling"
Despres, John. "Politico-Military Assessment." In Modeling and Analysis of Conventional Defense in Europe, 193–95. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2175-0_11.
Full textDiallo, Saikou Y., and José J. Padilla. "Military Interoperability Challenges." In Handbook of Real-World Applications in Modeling and Simulation, 298–327. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118241042.ch8.
Full textLeclaire, R. J., D. Pasqualini, J. S. Dreicer, G. L. Toole, N. M. Urban, R. W. Bent, T. N. Mcpherson, and N. W. Hengartner. "Infrastructure Modeling: Status and Applications." In Sustainable Cities and Military Installations, 391–427. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7161-1_19.
Full textKraft, Reuben H., Rebecca A. Fielding, Kevin Lister, Allen Shirley, Tim Marler, Andrew C. Merkle, Andrzej J. Przekwas, X. G. Tan, and Xianlian Zhou. "Modeling Skeletal Injuries in Military Scenarios." In Studies in Mechanobiology, Tissue Engineering and Biomaterials, 3–35. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/8415_2016_191.
Full textPadilla, José J. "Annex 2: Military Simulation Systems." In Engineering Principles of Combat Modeling and Distributed Simulation, 851–68. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118180310.oth2.
Full textLofdahl, Corey. "Applying System Dynamics to Military Operations." In Social Computing, Behavioral - Cultural Modeling and Prediction, 274–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29047-3_33.
Full textDarken, Rudolph P., and Curtis L. Blais. "The Uniformed Military Modeling and Simulation Professional." In The Profession of Modeling and Simulation, 151–66. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119288091.ch8.
Full textLoftin, R. Bowen, Mikel D. Petty, Ryland C. Gaskins, and Frederic D. McKenzie. "Modeling Crowd Behavior for Military Simulation Applications." In Organizational Simulation, 471–536. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471739448.ch17.
Full textFox, William P., and Robert Burks. "Logistics Network Modeling." In Applications of Operations Research and Management Science for Military Decision Making, 455–83. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20569-0_9.
Full textYu, Tian-Li, Scott Santarelli, and David E. Goldberg. "Military Antenna Design Using a Simple Genetic Algorithm and hBOA." In Scalable Optimization via Probabilistic Modeling, 275–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-34954-9_12.
Full textConference papers on the topic "Military modeling"
Kuikka, Vesa. "Methods for Modeling Military Capabilities." In 2019 IEEE International Systems Conference (SysCon). IEEE, 2019. http://dx.doi.org/10.1109/syscon.2019.8836719.
Full textIsci, Hakan, Sema Simsek, Ozer Tekisen, and Ilker Suer. "Perception and Cognition Under Military Aggravating Factors." In AIAA Modeling and Simulation Technologies Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-8095.
Full textFaied, Mariam, and Anouck Girard. "Modeling and optimizing military air operations." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5399926.
Full textSzymonik, Andrzej, and Tomasz Smal. "Safety Modeling in Military Warehouse Management." In 2019 International Conference on Military Technologies (ICMT). IEEE, 2019. http://dx.doi.org/10.1109/miltechs.2019.8870094.
Full textBidyuk, Peter, Aleksandr Gozhvi, and Iryna Kalinina. "Modeling Military Conflicts Using Bayesian Networks." In 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC). IEEE, 2018. http://dx.doi.org/10.1109/saic.2018.8516861.
Full textMiller, Jennifer, and Syed Mohammad. "Vehicle Level Human Performance Modeling for Military Vehicle Simulation." In 2007 Digital Human Modeling Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2007. http://dx.doi.org/10.4271/2007-01-2508.
Full textGindin, Yosef, and Alexander Peleg. "Real avionics in flight simulators for military aircraft." In Modeling and Simulation Technologies Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-4024.
Full textSonnenberg, Christian. "Modeling handheld usability for military-based devices." In MILCOM 2012 - 2012 IEEE Military Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/milcom.2012.6415737.
Full textKang, Haeran, Jong Hyuk Lee, Jang Ryeol Baek, Kyong-Ho Lee, and Young Hoon Lee. "Semantic Conceptual Modeling for Military Simulation Scenario." In Visualization, Imaging and Image Processing / 783: Modelling and Simulation / 784: Wireless Communications. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.783-072.
Full textLi, Xiong, Yujin Wu, Yukun Cao, and Zhiming Dong. "Cognitive Agents for Modeling Military Command Entities." In 2006 5th IEEE International Conference on Cognitive Informatics. IEEE, 2006. http://dx.doi.org/10.1109/coginf.2006.365694.
Full textReports on the topic "Military modeling"
Gupta, Pradeep K. Traction Modeling of Military Oils. Fort Belvoir, VA: Defense Technical Information Center, October 1986. http://dx.doi.org/10.21236/ada178303.
Full textBrowe, Bryan E., and Gary S. Brown. Advanced Propagation Modeling for Military Applications. Fort Belvoir, VA: Defense Technical Information Center, November 2000. http://dx.doi.org/10.21236/ada391203.
Full textCobb, Barry R. Modeling Uncertainty in Military Supply Chain Management Decisions. Fort Belvoir, VA: Defense Technical Information Center, June 2014. http://dx.doi.org/10.21236/ada612034.
Full textStuhmiller, James H. Mathematical Modeling in Support of Military Operational Medicine. Fort Belvoir, VA: Defense Technical Information Center, July 2006. http://dx.doi.org/10.21236/ada458419.
Full textGirard, P. E., J. W. Ulvilla, and M. F. O'Connor. Modeling Choice Under Uncertainty in Military Systems Analysis. Fort Belvoir, VA: Defense Technical Information Center, November 1991. http://dx.doi.org/10.21236/ada244040.
Full textStuhmiller, James H. Modeling for Military Operational Medicine Scientific and Technical Objectives. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada395911.
Full textStuhmiller, James H. Modeling for Military Operational Medicine Scientific and Technical Objectives. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada406110.
Full textStuhmiller, James H., Weixin Shen, Eugene Niu, and Adam Fournier. Modeling for Military Operational Medicine Scientific and Technical Objectives. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada430253.
Full textStuhmiller, James H., Weixin Shen, and Eugene Niu. Modeling for Military Operational Medicine Scientific and Technical Objectives. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada420424.
Full textHonneywell, Richard G. Resource Allocation Modeling for Military Systems and Technology Acquisition. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada208131.
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