Academic literature on the topic 'Human Simulations'
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Journal articles on the topic "Human Simulations"
Aarsæther, Karl Gunnar, and Torgeir Moan. "Adding the Human Element to Ship Manoeuvring Simulations." Journal of Navigation 63, no. 4 (September 13, 2010): 695–716. http://dx.doi.org/10.1017/s037346331000024x.
Full textValencia, Alvaro, Patricio Burdiles, Miguel Ignat, Jorge Mura, Eduardo Bravo, Rodrigo Rivera, and Juan Sordo. "Fluid Structural Analysis of Human Cerebral Aneurysm Using Their Own Wall Mechanical Properties." Computational and Mathematical Methods in Medicine 2013 (2013): 1–18. http://dx.doi.org/10.1155/2013/293128.
Full textCiunel, Stefanita, Dragos Laurentiu Popa, George Gherghina, Mihaela Liana Bogdan, and Dragos Tutunea. "Human Head-Neck System Behavior during Virtual Impact Automotive Simulations." Applied Mechanics and Materials 659 (October 2014): 177–82. http://dx.doi.org/10.4028/www.scientific.net/amm.659.177.
Full textParag Udaysinh More, Kumar Sachin, Mykhailo Pervak, Olha Yehorenko, and Oleksandr Rogachevsky. "REVIEW OF SIMULATION MEDICAL TECHNOLOGIES IMPACT ON MODERN EDUCATION." InterConf, no. 16(121) (August 20, 2022): 224–39. http://dx.doi.org/10.51582/interconf.19-20.08.2022.023.
Full textGillette, Jane, Henry Gleitman, Lila Gleitman, and Anne Lederer. "Human simulations of vocabulary learning." Cognition 73, no. 2 (December 1999): 135–76. http://dx.doi.org/10.1016/s0010-0277(99)00036-0.
Full textIbrahim, K. M. "Human Population Genetics: Simulations of human colonization history." Heredity 93, no. 2 (June 2, 2004): 124–25. http://dx.doi.org/10.1038/sj.hdy.6800495.
Full textValero-Lara, Pedro, Ivan Martínez-Pérez, Raül Sirvent, Antonio J. Peña, Xavier Martorell, and Jesús Labarta. "Simulating the behavior of the Human Brain on GPUs." Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 73 (2018): 63. http://dx.doi.org/10.2516/ogst/2018061.
Full textTolk, Andreas, Wesley J. Wildman, F. LeRon Shults, and Saikou Y. Diallo. "Human Simulation as the Lingua Franca for Computational Social Sciences and Humanities: Potential and Pitfalls." Journal of Cognition and Culture 18, no. 5 (November 28, 2018): 462–82. http://dx.doi.org/10.1163/15685373-12340040.
Full textChoi, Kiri, Lucian P. Smith, J. Kyle Medley, and Herbert M. Sauro. "phraSED-ML: A paraphrased, human-readable adaptation of SED-ML." Journal of Bioinformatics and Computational Biology 14, no. 06 (December 2016): 1650035. http://dx.doi.org/10.1142/s0219720016500359.
Full textRoney, Caroline H., Rokas Bendikas, Farhad Pashakhanloo, Cesare Corrado, Edward J. Vigmond, Elliot R. McVeigh, Natalia A. Trayanova, and Steven A. Niederer. "Constructing a Human Atrial Fibre Atlas." Annals of Biomedical Engineering 49, no. 1 (May 26, 2020): 233–50. http://dx.doi.org/10.1007/s10439-020-02525-w.
Full textDissertations / Theses on the topic "Human Simulations"
Mufti, H. (Haseeb). "Human body communication performance simulations." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201606092482.
Full textEngmo, Vidar. "Representation of Human Behavior in Military Simulations." Thesis, Norwegian University of Science and Technology, Department of Telematics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9798.
Full textThe purpose of this master thesis was to investigate the psychological and computational basis for human behavior representation (HBR) in military simulations and identify problem areas of existent software agent frameworks that provide computer generated forces (CGF) with human like cognitive abilities. The master thesis identifies psychological properties that influence human cognition in an operational environment through a theoretical study of operational and cognitive psychology. The psychological properties of human cognition are then connected to artificial intelligence through a theoretical study of agents and multi-agent systems and form the foundation for identifying general HBR properties. The HBR properties are used as evaluation markers that constitute the basis for constructing an evaluation of relevant agent frameworks thereby visualizing their strengths and weaknesses. The problem areas of incorporating artificial intelligence into CGF are further concretized by the development of a demonstrator that interacts with a synthetic environment. The demonstrator is an implementation of a tank platoon in the agent framework Jadex. The synthetic environment is provided by VR-Forces which is a product by MÄK technologies. The thesis makes a distinction between the conceptual structure of agent frameworks and their actual implementation. According to this master thesis it is the output of the agent framework that is the most important feature not how the output came into being. Producing the correct output requires the selection of the correct tools for the job. The selection of an agent framework should be taken on the background of an evaluation of the simulation requirements. A large portion of the development time is consumed by the development of application and communication interfaces. The problem is a result of lacking standardization and that most cognitive agent frameworks are experimental in nature. In addition the artificial intelligence (AI) in such simulations is often dived into levels, where the synthetic environment takes care of low-level AI and the agent framework the high-level AI. Tight synchronization between low and high-level AI is important if one wishes to create sensible behavior. The purpose of an agent framework in conjunction with CGF is thereby ensuring rapid development and testing of behavior models.
Starling, James Kendall. "Prioritizing unaided human search in military simulations." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5622.
Full textSearch and Target Acquisition (STA) in military simulations is the process of first identifying targets in a particular setting, then determining the probability of detection. This study will focus on the search aspect in STA, particularly with unaided vision. Current algorithms in combat models use an antiquated windshield wiper search pattern when conducting search. The studies used to determine these patterns used aided vision, such as binoculars or night vision devices. Very little research has been conducted for unaided vision and particularly not in urban environments. This study will use a data set taken from an earlier study in Fort Benning, GA, which captured the fixation points of 27 participants in simulated urban environments. This study achieved strong results showing that search is driven by salient scene information and is not random, using a series of nonparametric tests. The proposed algorithm, using points of interest (POIs) for the salient scene information, showed promising results for predicting the initial direction of search from the empirical data. However, the best results were realized when breaking the field of regard (FOR) into a small number of fields of view (FOVs).
Singh, Meghendra. "Human Behavior Modeling and Calibration in Epidemic Simulations." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/87050.
Full textMaster of Science
In the real world, individuals can decide to adopt certain behaviors that reduce their chances of contracting a disease. For example, using hand sanitizers can reduce an individual‘s chances of getting infected by influenza. These behavioral decisions, when taken by many individuals in the population, can completely change the course of the disease. Such behavioral decision-making is generally not considered during in-silico simulations of infectious diseases. In this thesis, we address this problem by developing a methodology to create and calibrate a decision making model that can be used by agents (i.e., synthetic representations of humans in simulations) in a data driven way. Our method also finds a cost associated with such behaviors and matches the distribution of behavior observed in the real world with that observed in a survey. Our approach is a data-driven way of incorporating decision making for agents in large-scale epidemic simulations.
Kaphle, Manindra. "Simulations of human movements through temporal discretization and optimization." Licentiate thesis, KTH, Mechanics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4585.
Full textStudy of physical phenomena by means of mathematical models is common in various branches of engineering and science. In biomechanics, modelling often involves studying human motion by treating the body as a mechanical system made of interconnected rigid links. Robotics deals with similar cases as robots are often designed to imitate human behavior. Modelling human movements is a complicated task and, therefore, requires several simplifications and assumptions. Available computational resources often dictate the nature and the complexity of the models. In spite of all these factors, several meaningful results are still obtained from the simulations.
One common problem form encountered in real life is the movement between known initial and final states in a pre-specified time. This presents a problem of dynamic redundancy as several different trajectories are possible to achieve the target state. Movements are mathematically described by differential equations. So modelling a movement involves solving these differential equations, along with optimization to find a cost effective trajectory and forces or moments required for this purpose.
In this study, an algorithm developed in Matlab is used to study dynamics of several common human movements. The main underlying idea is based upon temporal finite element discretization, together with optimization. The algorithm can deal with mechanical formulations of varying degrees of complexity and allows precise definitions of initial and target states and constraints. Optimization is carried out using different cost functions related to both kinematic and kinetic variables.
Simulations show that generally different optimization criteria give different results. To arrive on a definite conclusion on which criterion is superior over others it is necessary to include more detailed features in the models and incorporate more advanced anatomical and physiological knowledge. Nevertheless, the algorithm and the simplified models present a platform that can be built upon to study more complex and reliable models.
Kaphle, Manindra. "Simulations of human movements trough temporal descretization and optimization /." Stockholm : Department of Mechanics, Royal Institute of Technology, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4585.
Full textHe, Xiaoyi. "Numerical simulations of blood flow in human coronary arteries." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/16685.
Full textCrawford, Kenneth. "Effect of Safety Factors on Timed Human Egress Simulations." University of Canterbury. Civil Engineering, 1999. http://hdl.handle.net/10092/8261.
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.
Rivas, Romero Daniela Paz. "Molecular Dynamics Simulations of Human Glucose Transporters and Glutamate Transporters." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/25113.
Full textBooks on the topic "Human Simulations"
Rothrock, Ling, and S. Narayanan, eds. Human-in-the-Loop Simulations. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-883-6.
Full textDr, Matsumura Shuichi, Forster Peter 1967-, Renfrew Colin 1937-, McDonald Institute for Archaeological Research., and Alfred P. Sloan Foundation, eds. Simulations, genetics and human prehistory. Cambridge, UK: McDonald Institute for Archaeological Research, 2008.
Find full textDr, Matsumura Shuichi, Forster Peter 1967-, Renfrew Colin 1937-, McDonald Institute for Archaeological Research., and Alfred P. Sloan Foundation, eds. Simulations, genetics and human prehistory. Cambridge, UK: McDonald Institute for Archaeological Research, 2008.
Find full textDr, Matsumura Shuichi, Forster Peter 1967-, Renfrew Colin 1937-, McDonald Institute for Archaeological Research., and Alfred P. Sloan Foundation, eds. Simulations, genetics and human prehistory. Cambridge, UK: McDonald Institute for Archaeological Research, 2008.
Find full textS, Narayanan, and SpringerLink (Online service), eds. Human-in-the-Loop Simulations: Methods and Practice. London: Springer-Verlag London Limited, 2011.
Find full textPhysioEx 9.0 laboratory simulations in physiology. Boston: Benjamin Cummings, 2012.
Find full textTimothy, Stabler, ed. PhysioEx 7.0 for human physiology: Laboratory simulations in physiology. San Francisco: Pearson/Benjamin Cummings, 2008.
Find full textW, Pew Richard, Mavor Anne S, and National Research Council (U.S.). Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations., eds. Modeling human and organizational behavior: Application to military simulations. Washington, D.C: National Academy Press, 1998.
Find full text1955-, Ganesh L. S., and Varghese Koshy, eds. Sustainability and human settlements: Fundamental issues, modeling and simulations. Thousand Oaks, Calif: Sage Publications, 2005.
Find full textPeter, Zao, ed. PhysioEX 6.0 for A&P: Laboratory simulations in physiology. San Francisco: Pearson/Benjamin Cummings, 2006.
Find full textBook chapters on the topic "Human Simulations"
Nakoinz, Oliver, and Daniel Knitter. "Simulations." In Modelling Human Behaviour in Landscapes, 233–52. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29538-1_12.
Full textKallmann, Marcelo, Etienne Sevin, and Daniel Thalmann. "Constructing Virtual Human Life Simulations." In Deformable Avatars, 240–47. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-0-306-47002-8_21.
Full textBainbridge, William Sims. "A Virtual Human-Centered Galaxy." In Computer Simulations of Space Societies, 195–221. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90560-0_8.
Full textRitter, Frank E., Michael J. Schoelles, Karen S. Quigley, and Laura Cousino Klein. "Determining the Number of Simulation Runs: Treating Simulations as Theories by Not Sampling Their Behavior." In Human-in-the-Loop Simulations, 97–116. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-883-6_5.
Full textSchillaci, Guido, Bruno Lara, and Verena V. Hafner. "Internal Simulations for Behaviour Selection and Recognition." In Human Behavior Understanding, 148–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34014-7_13.
Full textNarayanan, S., and Phani Kidambi. "Interactive Simulations: History, Features, and Trends." In Human-in-the-Loop Simulations, 1–13. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-883-6_1.
Full textGanapathy, Subhashini, Sasanka Prabhala, S. Narayanan, Raymond R. Hill, and Jennie J. Gallimore. "Interactive Model-Based Decision Making for Time-Critical Vehicle Routing." In Human-in-the-Loop Simulations, 203–20. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-883-6_10.
Full textThiruvengada, Hari, Anand Tharanathan, and Paul Derby. "PerFECT: An Automated Framework for Training on the Fly." In Human-in-the-Loop Simulations, 221–38. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-883-6_11.
Full textPrabhala, Sasanka, Jennie J. Gallimore, and Jesse R. Lucas. "Evaluating Human Interaction with Automation in a Complex UCAV Control Station Simulation Using Multiple Performance Metrics." In Human-in-the-Loop Simulations, 239–58. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-883-6_12.
Full textRothrock, Ling. "Performance Measurement and Evaluation in Human-in-the-Loop Simulations." In Human-in-the-Loop Simulations, 15–53. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-883-6_2.
Full textConference papers on the topic "Human Simulations"
Colella, Vanessa, Richard Borovoy, and Mitchel Resnick. "Participatory simulations." In CHI98: ACM Conference on Human Factors and Computing Systems. New York, NY, USA: ACM, 1998. http://dx.doi.org/10.1145/286498.286503.
Full textTaylor, Thomas, and David E. Johnson. "Tangible simulations Generalized haptic devices for human-guided computer simulations." In 2013 International Conference on Collaboration Technologies and Systems (CTS). IEEE, 2013. http://dx.doi.org/10.1109/cts.2013.6567234.
Full textXiang, Yujiang, Joo H. Kim, Hyun-Joon Chung, James Yang, and Hyun-Jung Kwon. "Human Stair Ascent and Descent Simulations." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34324.
Full textZhou, Suiping, Linbo Luo, Wee Lit Koh, and Shang Ping Ting. "Human Behavior Modeling for Crowd Simulations." In Annual International Conferences on Computer Games, Multimedia and Allied Technology. Global Science & Technology Forum (GSTF), 2008. http://dx.doi.org/10.5176/978-981-08-8227-3_cgat08-4.
Full text"Interacting with Human Simulations: a Prototype Application." In 2019 Spring Simulation Conference. Society for Modeling and Simulation International (SCS), 2019. http://dx.doi.org/10.22360/springsim.2019.anss.022.
Full textBerman, John P., Abouzar Kaboudian, Ilija Uzelac, Shahriar Iravanian, Tinen Iles, Paul A. Iaizzo, Hyunkyung Lim, et al. "Interactive 3D Human Heart Simulations on Segmented Human MRI Hearts." In 2021 Computing in Cardiology (CinC). IEEE, 2021. http://dx.doi.org/10.23919/cinc53138.2021.9662948.
Full textPuga-Gonzalez, Ivan, and Saikou Y. Diallo. "Interacting With Human Simulations: A Prototype Application." In 2019 Spring Simulation Conference (SpringSim). IEEE, 2019. http://dx.doi.org/10.23919/springsim.2019.8732907.
Full textWiechel, John, Sandra Metzler, Dawn Freyder, and Nick Kloppenborg. "Human Fall Evaluation Using Motion Capture and Human Modeling." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-66790.
Full textOganezova, I., D. Pommerenke, J. Zhou, K. Ghosh, A. Hosseinbeig, J. Lee, N. Tsitskishvili, T. Jobava, Z. Sukhiashvili, and R. Jobava. "Human body impedance modelling for ESD simulations." In 2017 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI). IEEE, 2017. http://dx.doi.org/10.1109/isemc.2017.8077944.
Full textCassimatis, Nicholas L. "Integrated simulations of human cognition and behavior." In Defense and Security, edited by Dawn A. Trevisani and Alex F. Sisti. SPIE, 2005. http://dx.doi.org/10.1117/12.604918.
Full textReports on the topic "Human Simulations"
Cicowiez, Martín, and Agustín Filippo. Human Development: Simulations in a CGE Model for Haiti. Inter-American Development Bank, January 2019. http://dx.doi.org/10.18235/0001535.
Full textBurgess, Rene G. A New Architecture for Improved Human Behavior in Military Simulations. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada482030.
Full textDraeger, E., B. Bennion, F. Gygi, and F. Lightstone. Understanding the Mechanism of Human P450 CYP1A2 Using Coupled Quantum-Classical Simulations in a Dynamical Environment. Office of Scientific and Technical Information (OSTI), February 2006. http://dx.doi.org/10.2172/899113.
Full textAlmulihi, Qasem, and Asaad Shujaa. Does Departmental Simulation and Team Training Program Reduce Medical Error and Improve Quality of Patient Care? A Systemic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2022. http://dx.doi.org/10.37766/inplasy2022.3.0006.
Full textTuller, Markus, Asher Bar-Tal, Hadar Heller, and Michal Amichai. Optimization of advanced greenhouse substrates based on physicochemical characterization, numerical simulations, and tomato growth experiments. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7600009.bard.
Full textJohnson, Edgar, Frank Moses, and Joseph Psotka. Human Performance in Simulation Workshop. Fort Belvoir, VA: Defense Technical Information Center, November 1998. http://dx.doi.org/10.21236/ada357596.
Full textBernard, Michael Lewis, Dereck H. Hart, Stephen J. Verzi, Matthew R. Glickman, Paul R. Wolfenbarger, and Patrick Gordon Xavier. Simulating human behavior for national security human interactions. Office of Scientific and Technical Information (OSTI), January 2007. http://dx.doi.org/10.2172/900422.
Full textBoring, Ronald Laurids, Rachel Elizabeth Shirley, Jeffrey Clark Joe, and Diego Mandelli. Simulation and Non-Simulation Based Human Reliability Analysis Approaches. Office of Scientific and Technical Information (OSTI), December 2014. http://dx.doi.org/10.2172/1235194.
Full textBadler, Norman I. Center for Human Modeling and Simulation. Fort Belvoir, VA: Defense Technical Information Center, November 1994. http://dx.doi.org/10.21236/ada295101.
Full textBadler, Norman I. Center For Human Modeling and Simulation. Fort Belvoir, VA: Defense Technical Information Center, March 1995. http://dx.doi.org/10.21236/ada301724.
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