Gotowa bibliografia na temat „Physical modeling and simulation”
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Artykuły w czasopismach na temat "Physical modeling and simulation"
Kebch, A. El, N. Dlimi, D. Saifaoui, A. Dezairi i M. El Mouden. "Modeling and simulation of physical sputtering". Molecular Crystals and Liquid Crystals 627, nr 1 (3.03.2016): 183–89. http://dx.doi.org/10.1080/15421406.2015.1137676.
Pełny tekst źródłaWang, Haosheng, i Hongen Zhong. "Modeling and Simulation of Spacecraft Power System Based on Modelica". E3S Web of Conferences 233 (2021): 04033. http://dx.doi.org/10.1051/e3sconf/202123304033.
Pełny tekst źródłaBora, Tanujjal, Adrien Dousse, Kunal Sharma, Kaushik Sarma, Alexander Baev, G. Louis Hornyak i Guatam Dasgupta. "Modeling nanomaterial physical properties: theory and simulation". International Journal of Smart and Nano Materials 10, nr 2 (3.11.2018): 116–43. http://dx.doi.org/10.1080/19475411.2018.1541935.
Pełny tekst źródłaThompson, Bradley, i Hwan-Sik Yoon. "Internal Combustion Engine Modeling Framework in Simulink: Gas Dynamics Modeling". Modelling and Simulation in Engineering 2020 (3.09.2020): 1–16. http://dx.doi.org/10.1155/2020/6787408.
Pełny tekst źródłaZhou, Hao, Mengyao Zhao, Linbo Wu i Xiaohong Chen. "Simulating Timing Behaviors for Cyber-Physical Systems Using Modelica". International Journal of Software Science and Computational Intelligence 11, nr 3 (lipiec 2019): 44–67. http://dx.doi.org/10.4018/ijssci.2019070103.
Pełny tekst źródłaLee, Chun-Woo, Ju-Hee Lee, Bong-Jin Cha, Hyun-Young Kim i Ji-Hoon Lee. "Physical modeling for underwater flexible systems dynamic simulation". Ocean Engineering 32, nr 3-4 (marzec 2005): 331–47. http://dx.doi.org/10.1016/j.oceaneng.2004.08.007.
Pełny tekst źródłaFormigoni, A., E. F. Rodrigues, J. R. Maiellaro, L. T. Kawamoto Junior, M. A. Cipriano i R. S. Lira. "Physical Distribution Routing Using Computational Modeling and Simulation". Journal of Mechatronics 2, nr 4 (1.12.2014): 329–33. http://dx.doi.org/10.1166/jom.2014.1078.
Pełny tekst źródłaZhang, Shi Hong, Hong Wu Song, Ming Cheng i Zhong Tang Wang. "A Mathmatical Approach for Modeling Real Hot Forming Process Using Physical Simulation Results". Materials Science Forum 575-578 (kwiecień 2008): 502–7. http://dx.doi.org/10.4028/www.scientific.net/msf.575-578.502.
Pełny tekst źródłaJeffrey, Jeffrey, Didi Widya Utama i Gatot Soeharsono. "RANCANG BANGUN KONTRUKSI DAN SISTEM GERAK SUMBU PADA MESIN FUSED DEPOSITION MODELLING". POROS 14, nr 2 (20.09.2017): 99. http://dx.doi.org/10.24912/poros.v14i2.842.
Pełny tekst źródłaWagner, Neal. "Comparing the Complexity and Efficiency of Composable Modeling Techniques for Multi-Scale and Multi-Domain Complex System Modeling and Simulation Applications: A Probabilistic Analysis". Systems 12, nr 3 (14.03.2024): 96. http://dx.doi.org/10.3390/systems12030096.
Pełny tekst źródłaRozprawy doktorskie na temat "Physical modeling and simulation"
Latorre, Malcolm. "The Physical Axon : Modeling, Simulation and Electrode Evaluation". Doctoral thesis, Linköpings universitet, Avdelningen för medicinsk teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138587.
Pełny tekst źródłaElektroder används inom sjukvården, både för att mäta biologiska signaler, t.ex. hjärtats aktivitet med EKG, eller för att stimulera vävnad, t.ex. vid djup hjärnstimulering (DBS). För båda användningsområdena är det viktigt med en grundläggande förståelse av elektrodens interaktion med vävnaden. Det finns ingen standardiserad metod för att utvärdera medicinsk elektroders dataöverföringsfunktion. I den här avhandlingen presenteras en metod för att underlätta elektrodtestning. En hårdvarumodell av ett axon (Paxon) har utvecklats. Paxon kan programmeras för att efterlikna repeterbara aktionspotentialer från en perifer nerv. Längs axonet finns 40 noder, vilka var och en består av en tunn (20 μm) guldtråd inbäddad i harts och därefter kopplad till elektronik. Denna testbädd har använts för att undersöka EKG elektroders egenskaper. EKG elektroderna visade på variationer i orientering och position i relation till Paxon. Detta har en direkt inverkan på den registrerade signalen. Även andra elektrotyper kan testas i Paxon, t.ex. DBS elektroder. En teoretisk jämförelse mellan två neuronmodeller med olika komplexitet, anpassade för användning vid DBS studier, har utförts. Modellerna konfigurerades för att studera inverkan på aktiveringsavstånd från olika axondiametrar, stimulationspuls och stimulationsstyrka. Då båda modellerna visade likvärdiga aktiveringsavstånd och beräkningstid så förordas den enklare neuronmodellen för DBS simuleringar. En enklare modell kan lättare introduceras i klinisk verksamhet. Simuleringarna stöder tidigare resultat som visat att det elektriska fältet är en bra parameter för presentation av resultat vid simulering av DBS. Metoden exemplifieras vid simulering av aktiveringsavstånd och elektriska fältets utbredning för olika typer av DBS elektroder i en patient-specifik studie.
Sjöstedt, Carl-Johan. "Modeling and Simulation of Physical Systems in a Mechatronic Context". Doctoral thesis, KTH, Maskinkonstruktion (Avd.), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10522.
Pełny tekst źródłaQC 20100810
Esmael, Muzeyen Hassen. "Modeling Basic Physical Links in Acumen". Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-18119.
Pełny tekst źródłaCozza, Dario. "Modeling and physical studies of kesterite solar cells". Thesis, Aix-Marseille, 2016. http://www.theses.fr/2016AIXM4302.
Pełny tekst źródłaThis thesis deals with modeling and simulations of kesterite solar cells with the aim of studying their physical mechanisms and improving the design of the devices. Synthetic kesterites are thin film materials made of cheap/earth-abundant elements. Two numerical models for a Cu2ZnSnSe4 (CZTSe) and a Cu2ZnSnS4 (CZTS) solar cell are proposed. The provided values of the material parameters, for all the layers of the solar cell, are obtained either from comparisons/analysis of data found in literature or, in some cases, from direct measurements. 1D and 2D simulations are performed: the software SCAPS is used to study the impact of the Molybdenum and the MoSe2 layers, present at the back contact of CZTSe solar cells. We investigate also the ideal properties of alternative interfacial layers that could replace the MoSe2 layer to improve the device performances. The transfer matrix method (TMM) and SCAPS are employed together to perform optoelectronic simulations with the aim of optimizing the thickness of the buffer (CdS) and the window (ITO) layers in order to maximize the short circuit current (JSC ) of the device. Finally Silvaco is used to perform 2D simulations of the CZTSe grain boundaries (GBs) present inside the polycrystalline kesterite absorbers. For the latter work, experimental Kelvin probe force microscopy (KPFM) characterizations are performed in order to find possible correlations between the performance losses and the electrical activity of the GBs
Sjöstedt, Carl-Johan. "Modeling and simulation of physical systems in a mechatronic context /". Stockholm : Skolan för indutstriell teknik och managemnet, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10522.
Pełny tekst źródłaDu, Dongping. "Physical-Statistical Modeling and Optimization of Cardiovascular Systems". Scholar Commons, 2002. http://scholarcommons.usf.edu/etd/5875.
Pełny tekst źródłaSadeghi, Reineh Maryam. "Physical Modeling and Simulation Analysis of an Advanced Automotive Racing Shock Absorber using the 1D Simulation Tool AMESim". Thesis, Linköpings universitet, Fluida och mekatroniska system, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92146.
Pełny tekst źródłaSan, Omer. "Multiscale Modeling and Simulation of Turbulent Geophysical Flows". Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28031.
Pełny tekst źródłaPh. D.
Shen, Wensheng. "Computer Simulation and Modeling of Physical and Biological Processes using Partial Differential Equations". UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_diss/501.
Pełny tekst źródłaREN, QIANGGUO. "A BDI AGENT BASED FRAMEWORK FOR MODELING AND SIMULATION OF CYBER PHYSICAL SYSTEMS". Master's thesis, Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/213130.
Pełny tekst źródłaM.S.E.E.
Cyber-physical systems refer to a new generation of synergy systems with integrated computational and physical processes which interact with one other. The development and simulation of cyber-physical systems (CPSs) are obstructed by the complexity of the subsystems of which they are comprised, fundamental differences in the operation of cyber and physical elements, significant correlative dependencies among the elements, and operation in dynamic and open environments. The Multiple Belief-Desire-Intention (BDI) agent system (BDI multi-agent system) is a promising choice for overcoming these challenges, since it offers a natural way to decompose complex systems or large scale problems into decentralized, autonomous, interacting, more or less intelligent entities. In particular, BDI agents have the ability to interact with, and expand the capabilities of, the physical world through computation, communication, and control. A BDI agent has its philosophical grounds on intentionality and practical reasoning, and it is natural to combine a philosophical model of human practical reasoning with the physical operation and any cyber infrastructure. In this thesis, we introduce the BDI Model, discuss implementations of BDI agents from an ideal theoretical perspective as well as from a more practical perspective, and show how they can be used to bridge the cyber infrastructure and the physical operation using the framework. We then strengthen the framework's performance using the state-of-the-art parallel computing architecture and eventually propose a BDI agent based software framework to enable the efficient modeling and simulation of heterogeneous CPS systems in an integrated manner.
Temple University--Theses
Książki na temat "Physical modeling and simulation"
1957-, Ebrom Daniel A., i McDonald John A. 1931-, red. Seismic physical modeling. Tulsa, Okla: Society of Exploration Geophysicists, 1994.
Znajdź pełny tekst źródłaA, Ebrom Daniel, i McDonald John A, red. Seismic physical modeling. Tulsa, Okla: Society of Exploration Geophysicists, 1994.
Znajdź pełny tekst źródłaAutomated modeling of physical systems. Berlin: Springer, 1995.
Znajdź pełny tekst źródłaIntroduction to physical modeling with Modelica. Boston: Kluwer Academic Publishers, 2001.
Znajdź pełny tekst źródłaLisle, Curtis. Physical modeling for interaction in real-time simulation. Orlando, FL: Institute for Simulation and Training, University of Central Florida, 1996.
Znajdź pełny tekst źródłaFritzson, Peter. Introduction to Modeling and Simulation of Technical and Physical Systems with Modelica. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118094259.
Pełny tekst źródłaIntroduction to modeling and simulation of technical and physical systems with Modelica. Hoboken, N.J: Wiley, 2011.
Znajdź pełny tekst źródłaWarnatz, Jürgen. Combustion: Physical and Chemical Fundamentals, Modeling and Simulation, Experiments, Pollutant Formation. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999.
Znajdź pełny tekst źródłaDar, S. M. Physical and computer modeling of roof bolt systems. Washington, DC: Bureau of Mines, U.S. Dept. of the Interior, 1989.
Znajdź pełny tekst źródłaJ, Kirkby M., red. Computer simulation in physical geography. Wyd. 2. Chichester: J. Wiley, 1993.
Znajdź pełny tekst źródłaCzęści książek na temat "Physical modeling and simulation"
Ringleb, Stacie I. "Physical Modeling". W Modeling and Simulation in the Medical and Health Sciences, 65–84. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118003206.ch4.
Pełny tekst źródłade Baynast, A., M. Bohge, D. Willkomm i J. Gross. "Physical Layer Modeling". W Modeling and Tools for Network Simulation, 135–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12331-3_9.
Pełny tekst źródłaPal, Snehanshu, i K. Vijay Reddy. "Physical Property Evaluation by MD Simulation". W Molecular Dynamics for Materials Modeling, 23–33. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003323495-2.
Pełny tekst źródłaWu, Yizhi, Yongsheng Ding i Hongan Xu. "Comprehensive Fuzzy Evaluation Model for Body Physical Exercise Risk". W Life System Modeling and Simulation, 227–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74771-0_26.
Pełny tekst źródłaWeitnauer, Erik, Robert Haschke i Helge Ritter. "Evaluating a Physics Engine as an Ingredient for Physical Reasoning". W Simulation, Modeling, and Programming for Autonomous Robots, 144–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17319-6_16.
Pełny tekst źródłaEl Hefni, Baligh, i Daniel Bouskela. "Averaged Physical Quantities". W Modeling and Simulation of Thermal Power Plants with ThermoSysPro, 43–49. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05105-1_3.
Pełny tekst źródłaKryzhanovsky, Georgy Alekseevich, Anatoly Ivanovich Kozlov, Oleg Ivanovich Sauta, Yuri Grigoryevich Shatrakov i Ivan Nikolaevich Shestakov. "Physical Modeling of Transport Processes—Simulation Modeling, Training Complexes". W Modeling of Transportation Aviation Processes, 133–49. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7607-0_7.
Pełny tekst źródłaTraoré, Mamadou K. "Multi-Perspective Modeling and Holistic Simulation". W Complexity Challenges in Cyber Physical Systems, 81–110. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119552482.ch4.
Pełny tekst źródłaHojny, Marcin. "Integration of Physical and Computer Simulation". W Modeling Steel Deformation in the Semi-Solid State, 25–39. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40863-7_4.
Pełny tekst źródłaHojny, Marcin. "Integration of Physical and Computer Simulation". W Modeling Steel Deformation in the Semi-Solid State, 31–54. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67976-1_4.
Pełny tekst źródłaStreszczenia konferencji na temat "Physical modeling and simulation"
Henriksson, Dan, i Hilding Elmqvist. "Cyber-Physical Systems Modeling and Simulation with Modelica". W The 8th International Modelica Conference, Technical Univeristy, Dresden, Germany. Linköping University Electronic Press, 2011. http://dx.doi.org/10.3384/ecp11063502.
Pełny tekst źródłaLarkin, Dale, Kevin J. Lynch, George Ball, Kyle Collins, Matt Schmit, Ted A. Bapty i Justin B. Knight. "Ontology-Driven Metamodel Validation in Cyber-Physical Systems". W AIAA Modeling and Simulation Technologies Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-4005.
Pełny tekst źródła"Physical Display for Visualization of Three-Dimensional Surfaces". W The 34th European Modeling & Simulation Symposium. CAL-TEK srl, 2022. http://dx.doi.org/10.46354/i3m.2022.emss.049.
Pełny tekst źródła"Comparative Analysis of Digital Twin and Cyber-Physical System Concepts". W The 35th European Modeling & Simulation Symposium. CAL-TEK srl, 2023. http://dx.doi.org/10.46354/i3m.2023.emss.016.
Pełny tekst źródłaROBERT, Sylvain, Benoit DELINCHANT, Bruno HILAIRE i Tanguy YANN. "Plumes: Towards A Unified Approach To Building Physical Modeling". W 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.2039.
Pełny tekst źródłaLuo, Shiying, Yu Jian i Qiang Gao. "Synchronous generator modeling and semi - physical simulation". W 2019 22nd International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2019. http://dx.doi.org/10.1109/icems.2019.8921721.
Pełny tekst źródłaMezghanni, Mariem, Theo Bodrito, Malika Boulkenafed i Maks Ovsjanikov. "Physical Simulation Layer for Accurate 3D Modeling". W 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.01315.
Pełny tekst źródłaGrosswindhager, Stefan, Andreas Voigt i Martin Kozek. "Efficient Physical Modelling of District Heating Networks". W Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.735-094.
Pełny tekst źródłaPoursoltan, Milad, Nathalie Pinede, Bruno Vallespir i Mamadou Kaba Traore. "A New Modeling Framework For Cyber-Physical And Human Systems". W 2022 Annual Modeling and Simulation Conference (ANNSIM). IEEE, 2022. http://dx.doi.org/10.23919/annsim55834.2022.9859402.
Pełny tekst źródłaDourado, E., Lev Sarkisov, Joaquín Marro, Pedro L. Garrido i Pablo I. Hurtado. "Physical adsorption in porous materials: Molecular modelling, theory and applications". W MODELING AND SIMULATION OF NEW MATERIALS: Proceedings of Modeling and Simulation of New Materials: Tenth Granada Lectures. AIP, 2009. http://dx.doi.org/10.1063/1.3082306.
Pełny tekst źródłaRaporty organizacyjne na temat "Physical modeling and simulation"
Svobodny, Thomas P. Mathematical Modeling, Simulation, and Control of Physical Processes. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2006. http://dx.doi.org/10.21236/ada455803.
Pełny tekst źródłaManion, Charles. Physical Component Libraries for SysPhS Modeling and Simulation in Manufacturing. Gaithersburg, MD: National Institute of Standards and Technology, 2023. http://dx.doi.org/10.6028/nist.ir.8490.
Pełny tekst źródłaZhu, Minjie, i Michael Scott. Two-Dimensional Debris-Fluid-Structure Interaction with the Particle Finite Element Method. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, kwiecień 2024. http://dx.doi.org/10.55461/gsfh8371.
Pełny tekst źródłaPollock, Guylaine M., William Dee Atkins, Moses Daniel Schwartz, Adrian R. Chavez, Jorge Mario Urrea, Nicholas Pattengale, Michael James McDonald i in. Modeling and simulation for cyber-physical system security research, development and applications. Office of Scientific and Technical Information (OSTI), luty 2010. http://dx.doi.org/10.2172/1028942.
Pełny tekst źródłaCollins, Joseph B. Standardizing an Ontology of Physics for Modeling and Simulation. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2004. http://dx.doi.org/10.21236/ada610086.
Pełny tekst źródłaSabharwall, Piyush, Ching-Sheng Lin, Joshua E. Hansel, Vincent Laboure, David Andrs, William M. Hoffman, Stephen R. Novascone, Andrew E. Slaughter i Richard C. Martineau. Integrated Modeling and Simulation Capability For Full Scale Multi-Physics Simulation and Visualization of MicroReactor Concept. Office of Scientific and Technical Information (OSTI), sierpień 2019. http://dx.doi.org/10.2172/1643493.
Pełny tekst źródłaRohmer, Damien, Arkadiusz Sitek i Grant T. Gullberg. Simulation of the Beating Heart Based on Physically Modeling aDeformable Balloon. Office of Scientific and Technical Information (OSTI), lipiec 2006. http://dx.doi.org/10.2172/908496.
Pełny tekst źródłaTackett, Gregory B. Distributed Virtual Newtonian Physics as a Modeling and Simulation Grand Challenge. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 2004. http://dx.doi.org/10.21236/ada422094.
Pełny tekst źródłaAldemir, Tunc, Richard Denning, Umit Catalyurek i Stephen Unwin. Methodology Development for Passive Component Reliability Modeling in a Multi-Physics Simulation Environment. Office of Scientific and Technical Information (OSTI), styczeń 2015. http://dx.doi.org/10.2172/1214664.
Pełny tekst źródłaLevine, Edward R., i Louis Goodman. Modeling Improved Parameterizations of Shallow Water Ocean Physics into Simulation Models for AUVs. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2006. http://dx.doi.org/10.21236/ada612403.
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