Academic literature on the topic '029902 Complex Physical Systems'
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Journal articles on the topic "029902 Complex Physical Systems"
Kwapień, Jarosław, and Stanisław Drożdż. "Physical approach to complex systems." Physics Reports 515, no. 3-4 (June 2012): 115–226. http://dx.doi.org/10.1016/j.physrep.2012.01.007.
Full textFu, Jun, Jin Zhao Wu, Ning Zhou, and Hong Yan Tan. "Quantitative Models for Complex Physical Systems." Advanced Materials Research 1061-1062 (December 2014): 1144–47. http://dx.doi.org/10.4028/www.scientific.net/amr.1061-1062.1144.
Full textUzhva, Denis, and Oleg Granichin. "Cluster control of complex cyber-physical systems." Cybernetics and Physics, Volume 10, 2021, Number 3 (November 30, 2021): 191–200. http://dx.doi.org/10.35470/2226-4116-2021-10-3-191-200.
Full textMetta, Giorgio, and Giulio Sandini. "Embodiment and complex systems." Behavioral and Brain Sciences 24, no. 6 (December 2001): 1068–69. http://dx.doi.org/10.1017/s0140525x01410120.
Full textKharitonov, O. V., L. A. Firsova, and E. A. Kozlitin. "Simulating Complex Displacement Chromatography Systems." Russian Journal of Physical Chemistry A 93, no. 4 (April 2019): 758–64. http://dx.doi.org/10.1134/s0036024419040162.
Full textEbeling, W. "Predictability of Complex Dynamical Systems." Zeitschrift für Physikalische Chemie 206, Part_1_2 (January 1998): 274. http://dx.doi.org/10.1524/zpch.1998.206.part_1_2.274.
Full textKatina, Polinpapilinho F., Charles B. Keating, Adrian V. Gheorghe, and Marcelo Masera. "Complex system governance for critical cyber-physical systems." International Journal of Critical Infrastructures 13, no. 2/3 (2017): 168. http://dx.doi.org/10.1504/ijcis.2017.088230.
Full textKeating, Charles B., Adrian V. Gheorghe, Polinpapilinho F. Katina, and Marcelo Masera. "Complex system governance for critical cyber-physical systems." International Journal of Critical Infrastructures 13, no. 2/3 (2017): 168. http://dx.doi.org/10.1504/ijcis.2017.10009243.
Full textDavid, Pierre, Vincent Idasiak, and Frédéric Kratz. "Reliability study of complex physical systems using SysML." Reliability Engineering & System Safety 95, no. 4 (April 2010): 431–50. http://dx.doi.org/10.1016/j.ress.2009.11.015.
Full textZambrano, Samuel, and Miguel A. F. Sanjuán. "Infinite horseshoes and complex dynamics in physical systems." Communications in Nonlinear Science and Numerical Simulation 22, no. 1-3 (May 2015): 866–71. http://dx.doi.org/10.1016/j.cnsns.2014.07.013.
Full textDissertations / Theses on the topic "029902 Complex Physical Systems"
Fenley, Andrew Townsend. "Simple Physical Approaches to Complex Biological Systems." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/38819.
Full textPh. D.
Greenhough, John. "Signatures of highly-correlated processes in complex physical systems." Thesis, University of Warwick, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.397525.
Full textRobertson, Craig Collumbine. "Building complex systems based on simple molecular architectures." Thesis, University of St Andrews, 2011. http://hdl.handle.net/10023/2573.
Full textDai, Mehmet Naci Carleton University Dissertation Engineering Mechanical and Aerospace. "Automating the analysis of complex physical systems - the virtual foundry." Ottawa, 1994.
Find full textWang, Ying. "Simulating complex hydro-geomorphic changes in lake-catchment systems." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/363745/.
Full textFrancis, John Charles. "Qualitative system theory : a systems approach to modelling complex physical processes." Thesis, Heriot-Watt University, 1986. http://hdl.handle.net/10399/1080.
Full textJeziorek, Peter Nicholas 1981. "Cost estimation of functional and physical changes made to complex systems." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/30313.
Full textIncludes bibliographical references (p. 63).
Current cost estimation practices rely on statistically relating physical parameters of a system to historical cost data. Unfortunately, this method is unable to effectively communicate the increasing complexity of system design to cost data. Additionally, current cost estimation techniques have had a historical inability to produce credible and explainable results. It is often considered to be a "black art" with the recurring question: "Where did that number come from?" This thesis systematically links design and cost information together, and demonstrates the utility of that link by estimating the impact of functional and physical design changes on the life-cycle cost and determining key cost drivers. The ability to quickly estimate the cost impact of design changes is important for decision makers and serves as a medium of communication between customers and developers. Credible estimation is gained by intimately linking the axiomatic design framework to the already existing costing unit (or component) domain and providing design traceability. Development cost is predicted by determining the functional requirements (FRs) affected by a change in customer needs or constraints, then by determining the propagation of that change from FRs to design parameters (DPs) to costing units. The list of affected components and the magnitude of the impact on each component is found and then used to determine through a parallel iteration process model how much development labor will be necessary to implement those changes. The labor is directly related to development costs. A formal method to designing operations using axiomatic design is presented in this thesis. Operations exist due to the time-variant combinatorial complexity of FRs.
(cont.) Operations implement reinitialization procedures in order to maximize the probability of success of FRs. This provides the way that axiomatic design can derive operations and the related cost parameters. This information could then be plugged into the cost impact model of a design change to determine the list-of affected operations. A new method of estimating the change in cost parameters due to a design change will be the focus of future research. Two main forms of key cost drivers are identified: the most expensive FRs and design iteration. A method of mapping estimates from the costing unit domain to the FR-DP map is suggested in order to cost out FRs. Design iteration as a key cost driver can be seen from two points of view. Axiomatic design identifies small design ranges, coupling and imaginary complexity as contributors to cost. Design structure matrices identify the most iterative set of tasks in the development process and offer procedures to reduce or speed up the iteration.
by Peter Nicholas Jeziorek.
S.M.
Moser, Michele R., and K. Keen. "Collaborative Systems for Children with Complex Physical and Mental Health Needs." Digital Commons @ East Tennessee State University, 2004. https://dc.etsu.edu/etsu-works/4995.
Full textCarra, Giulia. "Evolution of urban systems : a physical approach." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS254/document.
Full textMore than 50 % of the world population lives in urban areas and this proportion is expected to increase in the coming decades. Understanding what governs the evolution of urban systems has thus become of paramount importance.This renewed interest combined with the availability of large-scale data, allows a glimpse into the dawn of a new science of cities, interdisciplinary and based on data.Recent studies have shown the existence of statistical regularities and scaling laws for several socio-economic indicators such as fuel consumption, average commuting distance, cost of infrastructure, etc., and despite several recent attempts, the theoretical understanding of these results empirically observed remains very partial. The purpose of this thesis is to obtain a simplified, out of equilibrium model of urban growth, based on a small number of important mechanisms and which provides quantitative predictions in agreement with empirical data. For this, we will draw on studies in quantitative geography and spatial economy and we will revisit some of these old models with a new approach that integrates the tools and concepts of physics
Case, Denise Marie. "Engineering complex systems with multigroup agents." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/19045.
Full textComputing and Information Sciences
Scott A. DeLoach
As sensor prices drop and computing devices continue to become more compact and powerful, computing capabilities are being embedded throughout our physical environment. Connecting these devices in cyber-physical systems (CPS) enables applications with significant societal impact and economic benefit. However, engineering CPS poses modeling, architecture, and engineering challenges and, to fully realize the desired benefits, many outstanding challenges must be addressed. For the cyber parts of CPS, two decades of work in the design of autonomous agents and multiagent systems (MAS) offers design principles for distributed intelligent systems and formalizations for agent-oriented software engineering (AOSE). MAS foundations offer a natural fit for enabling distributed interacting devices. In some cases, complex control structures such as holarchies can be advantageous. These can motivate complex organizational strategies when implementing such systems with a MAS, and some designs may require agents to act in multiple groups simultaneously. Such agents must be able to manage their multiple associations and assignments in a consistent and unambiguous way. This thesis shows how designing agents as systems of intelligent subagents offers a reusable and practical approach to designing complex systems. It presents a set of flexible, reusable components developed for OBAA++, an organization-based architecture for single-group MAS, and shows how these components were used to develop the Adaptive Architecture for Systems of Intelligent Systems (AASIS) to enable multigroup agents suitable for complex, multigroup MAS. This work illustrates the reusability and flexibility of the approach by using AASIS to simulate a CPS for an intelligent power distribution system (IPDS) operating two multigroup MAS concurrently: one providing continuous voltage control and a second conducting discrete power auctions near sources of distributed generation.
Books on the topic "029902 Complex Physical Systems"
Deuschel, Jean-Dominique, Barbara Gentz, Wolfgang König, Max von Renesse, Michael Scheutzow, and Uwe Schmock, eds. Probability in Complex Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23811-6.
Full textTakayama, Hajime, ed. Cooperative Dynamics in Complex Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74554-6.
Full textMcGann, C. P. Towards generality in modelling complex physical systems. Dublin: Trinity College, Department of Computer Science, 1992.
Find full textDuindam, Vincent, Alessandro Macchelli, Stefano Stramigioli, and Herman Bruyninckx. Modeling and Control of Complex Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03196-0.
Full textManneville, Paul, Nino Boccara, Gérard Y. Vichniac, and Roger Bidaux, eds. Cellular Automata and Modeling of Complex Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-75259-9.
Full textCenter), Homeokinetics Conference (1998 Thomas Dodd Research. Primer for homeokinetics: A physical foundation for complex systems. Laguna Hills, Ca: Cri-de-Coeur Press, 1998.
Find full text1948-, Coffey William, and Kalmykov Yu P, eds. Fractals, diffusion and relaxation in disordered complex systems. Hoboken, N.J: Wiley, 2006.
Find full textNATO Advanced Research Workshop on Relaxation in Complex Systems and Related Topics (1989 Turin, Italy). Relaxation in complex systems and related topics. New York: Plenum Press, 1990.
Find full textMachado, J. A. Tenreiro. Nonlinear and complex dynamics: Applications in physical, biological, and financial systems. New York: Springer, 2011.
Find full textGaylord, Richard J. Computer simulations with Mathematica: Explorations in complex physical and biological systems. Santa Clara, Calif: Springer-Verlag TELOS, 1995.
Find full textBook chapters on the topic "029902 Complex Physical Systems"
Wang, Jay, and Adam Wang. "Complex Systems." In Introduction to Computation in Physical Sciences, 203–32. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17646-3_9.
Full textIordache, Octavian. "Physical and Chemical Systems." In Understanding Complex Systems, 63–139. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10654-5_3.
Full textElmqvist, H., S. E. Mattsson, M. Otter, and K. J. Åström. "Modeling Complex Physical Systems." In Control of Complex Systems, 21–38. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0349-3_2.
Full textKopetz, Hermann. "Cyber-Physical Systems Are Different." In Simplicity is Complex, 69–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20411-2_6.
Full textHuggett, Richard J. "Simple and Complex Systems." In Springer Series in Physical Environment, 17–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82496-8_2.
Full textIordache, Octavian. "Self-Evolvability for Physical and Chemical Systems." In Understanding Complex Systems, 65–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28882-1_5.
Full textHaken, Hermann. "The Brain as a Synergetic and Physical System." In Understanding Complex Systems, 147–63. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27635-9_10.
Full textYe, Fred Y. "A Clifford-Finslerian Physical Unification and Fractal Dynamics." In Understanding Complex Systems, 47–56. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5936-0_4.
Full textFisher, Amit, Clas A. Jacobson, Edward A. Lee, Richard M. Murray, Alberto Sangiovanni-Vincentelli, and Eelco Scholte. "Industrial Cyber-Physical Systems – iCyPhy." In Complex Systems Design & Management, 21–37. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02812-5_2.
Full textTokody, Dániel, József Papp, László Barna Iantovics, and Francesco Flammini. "Complex, Resilient and Smart Systems." In Resilience of Cyber-Physical Systems, 3–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-95597-1_1.
Full textConference papers on the topic "029902 Complex Physical Systems"
Wlassova, L. N. "Network data base of physical technologies." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386859.
Full textBujorianu, Manuela L., and Robert S. MacKay. "Complex systems techniques for cyber-physical systems." In the 4th ACM SIGBED International Workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2593458.2593460.
Full textBelić, A. "Large-scale simulations of complex physical systems." In SIXTH INTERNATIONAL CONFERENCE OF THE BALKAN PHYSICAL UNION. AIP, 2007. http://dx.doi.org/10.1063/1.2733047.
Full textTorkelson, John M., Rodney D. Priestley, Perla Rittigstein, Manish K. Mundra, Connie B. Roth, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Novel Effects of Confinement and Interfaces on the Glass Transition Temperature and Physical Aging in Polymer Films and Nanocomposites." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897781.
Full textvan der Schaft, A. J., and R. V. Polyuga. "Structure-preserving model reduction of complex physical systems." 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.2009.5399669.
Full textHansen, Robert J., and Eric W. Hendricks. "Active Control of Complex Physical Systems: An Overview." In ASME 1992 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/92-gt-035.
Full textChen, Haifeng, Mizoguchi Takehiko, Yan Tan, Kai Zhang, and Geoff Jiang. "A Quality Control Engine for Complex Physical Systems." In 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2015. http://dx.doi.org/10.1109/dsn.2015.25.
Full textCirac, J. I. "Quantum Computation: Basic Concepts and Physical Implementations." In MODELING OF COMPLEX SYSTEMS: Seventh Granada Lectures. AIP, 2003. http://dx.doi.org/10.1063/1.1571317.
Full textIndei, Tsutomu. "Analysis of Shear-Thickening in Physical Gel by Transient Network Theory." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764121.
Full textChen, Wenqi, and Lichen Zhang. "Physical and cyber convergence approach to design future complex aviation cyber physical systems." In 2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2015. http://dx.doi.org/10.1109/icsess.2015.7339116.
Full textReports on the topic "029902 Complex Physical Systems"
Willcox, K., D. Allaire, J. Deyst, C. He, and G. Sondecker. Stochastic Process Decision Methods for Complex-Cyber-Physical Systems. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada552217.
Full textMarzouk, Youssef M., Chi Feng, and Xun Huan. Model-Based Optimal Experimental Design for Complex Physical Systems. Fort Belvoir, VA: Defense Technical Information Center, December 2015. http://dx.doi.org/10.21236/ada627240.
Full textClark, Matthew, Xenofon Koutsoukos, Joseph Porter, Ratnesh Kumar, George Pappas, Oleg Sokolsky, Insup Lee, and Lee Pike. A Study on Run Time Assurance for Complex Cyber Physical Systems. Fort Belvoir, VA: Defense Technical Information Center, April 2013. http://dx.doi.org/10.21236/ada585474.
Full textSaptsin, Vladimir, and Володимир Миколайович Соловйов. Relativistic quantum econophysics – new paradigms in complex systems modelling. [б.в.], July 2009. http://dx.doi.org/10.31812/0564/1134.
Full textMarzouk, Youssef. Final Report, DOE Early Career Award: Predictive modeling of complex physical systems: new tools for statistical inference, uncertainty quantification, and experimental design. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1312896.
Full textCrawford, Daniel. "Structure and dynamics in complex chemical systems: Gaining new insights through recent advances in time-resolved spectroscopies.” ACS Division of Physical Chemistry Symposium presented at the Fall National ACS Meeting in Boston, MA, August 2015. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1326393.
Full textСоловйов, Володимир Миколайович, V. Saptsin, and D. Chabanenko. Financial time series prediction with the technology of complex Markov chains. Transport and Telecommunication Institute, 2010. http://dx.doi.org/10.31812/0564/1145.
Full textBrenan, J. M., K. Woods, J. E. Mungall, and R. Weston. Origin of chromitites in the Esker Intrusive Complex, Ring of Fire Intrusive Suite, as revealed by chromite trace element chemistry and simple crystallization models. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328981.
Full textPerdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, September 2021. http://dx.doi.org/10.46337/210930.
Full textChamovitz, Daniel, and Albrecht Von Arnim. Translational regulation and light signal transduction in plants: the link between eIF3 and the COP9 signalosome. United States Department of Agriculture, November 2006. http://dx.doi.org/10.32747/2006.7696515.bard.
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