Дисертації з теми "Modeling Complex Systems"
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Müller, Thorsten G. "Modeling complex systems with differential equations." [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10236319.
Повний текст джерелаAzevedo, Kyle Kellogg. "Modeling sustainability in complex urban transportation systems." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37289.
Повний текст джерелаGuan, Jinyan. "Bayesian generative modeling for complex dynamical systems." Thesis, The University of Arizona, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10109036.
Повний текст джерелаThis dissertation presents a Bayesian generative modeling approach for complex dynamical systems for emotion-interaction patterns within multivariate data collected in social psychology studies. While dynamical models have been used by social psychologists to study complex psychological and behavior patterns in recent years, most of these studies have been limited by using regression methods to fit the model parameters from noisy observations. These regression methods mostly rely on the estimates of the derivatives from the noisy observation, thus easily result in overfitting and fail to predict future outcomes. A Bayesian generative model solves the problem by integrating the prior knowledge of where the data comes from with the observed data through posterior distributions. It allows the development of theoretical ideas and mathematical models to be independent of the inference concerns. Besides, Bayesian generative statistical modeling allows evaluation of the model based on its predictive power instead of the model residual error reduction in regression methods to prevent overfitting in social psychology data analysis.
In the proposed Bayesian generative modeling approach, this dissertation uses the State Space Model (SSM) to model the dynamics of emotion interactions. Specifically, it tests the approach in a class of psychological models aimed at explaining the emotional dynamics of interacting couples in committed relationships. The latent states of the SSM are composed of continuous real numbers that represent the level of the true emotional states of both partners. One can obtain the latent states at all subsequent time points by evolving a differential equation (typically a coupled linear oscillator (CLO)) forward in time with some known initial state at the starting time. The multivariate observed states include self-reported emotional experiences and physiological measurements of both partners during the interactions. To test whether well-being factors, such as body weight, can help to predict emotion-interaction patterns, We construct functions that determine the prior distributions of the CLO parameters of individual couples based on existing emotion theories. Besides, we allow a single latent state to generate multivariate observations and learn the group-shared coefficients that specify the relationship between the latent states and the multivariate observations.
Furthermore, we model the nonlinearity of the emotional interaction by allowing smooth changes (drift) in the model parameters. By restricting the stochasticity to the parameter level, the proposed approach models the dynamics in longer periods of social interactions assuming that the interaction dynamics slowly and smoothly vary over time. The proposed approach achieves this by applying Gaussian Process (GP) priors with smooth covariance functions to the CLO parameters. Also, we propose to model the emotion regulation patterns as clusters of the dynamical parameters. To infer the parameters of the proposed Bayesian generative model from noisy experimental data, we develop a Gibbs sampler to learn the parameters of the patterns using a set of training couples.
To evaluate the fitted model, we develop a multi-level cross-validation procedure for learning the group-shared parameters and distributions from training data and testing the learned models on held-out testing data. During testing, we use the learned shared model parameters to fit the individual CLO parameters to the first 80% of the time points of the testing data by Monte Carlo sampling and then predict the states of the last 20% of the time points. By evaluating models with cross-validation, one can estimate whether complex models are overfitted to noisy observations and fail to generalize to unseen data. I test our approach on both synthetic data that was generated by the generative model and real data that was collected in multiple social psychology experiments. The proposed approach has the potential to model other complex behavior since the generative model is not restricted to the forms of the underlying dynamics.
Guan, Jinyan. "Bayesian Generative Modeling of Complex Dynamical Systems." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/612950.
Повний текст джерелаValenzuela, Vega Rene Cristian. "Compact reliability and maintenance modeling of complex repairable systems." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51850.
Повний текст джерелаLe, Xuan Tuan. "Understanding complex systems through computational modeling and simulation." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEP003.
Повний текст джерелаTraditional approaches are not sufficient, and sometimes impossible in dealing with complexity issues such as emergence, self-organization, evolution and adaptation of complex systems. As illustrated in this thesis by the practical work of the author in a real-life project, the spreading of infectious disease as well as interventions could be considered as difusion processes on complex networks of heterogeneous individuals in a society which is considered as a reactive system. Modeling of this system requires explicitly specifying of each individual’s behaviors and (re)actions, and transforming them into computational model which has to be flexible, reusable, and ease of coding. Statechart, typical for model-based programming, is a good solution that the thesis proposes. Bottom-up agent based simulation finds emergence episodes in what-if scenarios that change rules governing agent’s behaviors that requires agents to learn to adapt with these changes. Decision tree learning is proposed to bring more flexibility and legibility in modeling of agent’s autonomous decision making during simulation runtime. Our proposition for computational models such as agent based models are complementary to traditional ones, and in some case they are unique solutions due to legal, ethical issues
Ding, Limei. "On modeling and control of complex dynamic systems." Licentiate thesis, Luleå, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-26097.
Повний текст джерелаGodkänd; 2000; 20070318 (ysko)
Clark, Kenneth A. "Modeling single-event transients in complex digital systems." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FClark%5FKenneth%5Fphd.pdf.
Повний текст джерелаSommerer, Christa. "Modeling complex adaptive systems and complexity for interactive art." Thesis, University of South Wales, 2002. https://pure.southwales.ac.uk/en/studentthesis/modeling-complex-adaptive-systems-and-complexity-for-interactive-art(3d7143e3-eb05-49b9-8965-0ffa53767eb9).html.
Повний текст джерелаDing, Limei. "Modeling control and analysis of complex dynamic chemical systems /." Luleå, 2003. http://epubl.luth.se/1402-1544/2003/28.
Повний текст джерелаWall, Anders. "Architectural modeling and analysis of complex real-time systems /." Västerås : Mälardalen University, 2003. http://www.mrtc.mdh.se/publications/0621.pdf.
Повний текст джерелаRodriguez, Jesus. "Modeling of complex systems using nonlinear, flexible multibody dynamics." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/12344.
Повний текст джерелаChow, Fung-kiu, and 鄒鳳嬌. "Modeling the minority-seeking behavior in complex adaptive systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29367487.
Повний текст джерелаBagdasaryan, A. G. "Modeling and control of complex systems over finite fields." Thesis, Sumy State University, 2013. http://essuir.sumdu.edu.ua/handle/123456789/44326.
Повний текст джерелаZhang, Tingnan. "Modeling and control of locomotion in complex environments." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/54984.
Повний текст джерелаStealey, John 1962. "Application of a systems-theoretic safety modeling technique for complex system mishap etiology." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/91775.
Повний текст джерелаMasai, Pierre. "Modeling the lean organization as a complex system." Thesis, Strasbourg, 2017. http://www.theses.fr/2017STRAD029/document.
Повний текст джерелаIn this thesis, after explaining the history and main concepts of the lean organization in various contexts, the world of complex systems is explored, then it is shown why the lean organization is itself a Complex System. A novel model of lean is proposed as an ontology, the Lean Organization Framework (LOF), which can be applied to all forms of organizations. The LOF is tested with those already explored (Lean Manufacturing, Lean IT, Lean Healthcare, Lean Government, Lean NGO, Lean Start-Up, Lean Education) and proposes ways to enhance them. It can also be applied to new domains with the help of subject matter experts, an approach that is checked with the novel cases of a Lean Foundation and Lean Enterprise Architecture (Lean EA), but also with the comparison of the lean organization with the immune system, a well-known Complex System example. Then, a model of lean process presenting the emergent properties of a Complex System is proposed: the hoshin kanri, or management of the organization objectives, including in its cultural dimension. The results of its practical implementation with the eHoshin application are discussed and a first open source prototype already used by around one hundred organizations in the world is explained. A second, more robust implementation in the industry is presented (at Toyota, extended to several departments and legal entities). Finally, the theoretical model is improved based on the experimentation results. In the appendices, the lean concepts are explained together with their application to six domains of knowledge and the simulation programs are listed
Гнатенко, О. С., and О. О. Кальна. "Modeling the interaction of laser radiation with complex biological optical systems." Thesis, Sumy State University, Ukraine, 2018. http://openarchive.nure.ua/handle/document/5784.
Повний текст джерелаKleiner, Matthias. "Thermodynamic Modeling of Complex Systems: Polar and Associating Fluids and Mixtures /." München : Verl. Dr. Hut, 2009. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=017156328&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Повний текст джерелаAsthorsson, Axel. "Simulation meta-modeling of complex industrial production systems using neural networks." Thesis, University of Skövde, School of Humanities and Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1036.
Повний текст джерелаSimulations are widely used for analysis and design of complex systems. Real-world complex systems are often too complex to be expressed with tractable mathematical formulations. Therefore simulations are often used instead of mathematical formulations because of their flexibility and ability to model real-world complex systems in some detail. Simulation models can often be complex and slow which lead to the development of simulation meta-models that are simpler and faster models of complex simulation models. Artificial neural networks (ANNs) have been studied for use as simulation meta-models with different results. This final year project further studies the use of ANNs as simulation meta-models by comparing the predictability of five different neural network architectures: feed-forward-, generalized feed-forward-, modular-, radial basis- and Elman artificial neural networks where the underlying simulation is of complex production system. The results where that all architectures gave acceptable results even though it can be said that Elman- and feed-forward ANNs performed the best of the tests conducted here. The difference in accuracy and generalization was considerably small.
Fischer, Jan [Verfasser]. "Molecular Modeling of Complex Systems for Applications in Thermodynamics / Jan Fischer." München : Verlag Dr. Hut, 2010. http://d-nb.info/1009973002/34.
Повний текст джерелаBrena, Barbara. "First principles modeling of soft X-ray spectroscopy of complex systems." Doctoral thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-403.
Повний текст джерелаAshcraft, Robert Wilson. "Ab initio modeling of complex aqueous and gaseous systems containing nitrogen." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45918.
Повний текст джерелаIncludes bibliographical references (p. 305-312).
Nitrogen chemistry is ubiquitous in everyday life, from biological processes at ambient conditions to atmospheric chemistry at low pressures and temperatures to high-temperature combustion. Understanding the chemical behavior of nitrogen-containing species under a variety of conditions and in multiple phases is critical to accurately modeling system behavior. The further ability to model system behavior based solely on a first principles approach would be a boon to researchers attempting to design and understand technologies utilizing complex systems. This work attempts to further these abilities for both solution-phase and gas-phase predictions from ab initio calculations. An overview of solvation thermodynamics is given that relates computational chemistry to phenomenological thermodynamics for common equilibrium expressions. Special attention is paid to fully understanding the role of activity coefficients, standard states, and reference states and how these affect the subsequent expressions. A procedure is outlined for estimating the thermochemical properties of small molecules in aqueous solution based on computational chemistry calculations utilizing continuum solvation models. The partitioning of the entropic and enthalpic contributions is of the utmost importance if one is to accurately estimate the enthalpy of formation and entropy in solution. Procedures for rate coefficient estimation via solution-phase transition state theory, simple electron transfer theory, and dissociative isomerizations within a solvent cage are also discussed. The oxidation of hydroxylamine in aqueous nitric acid was chosen as a test system. A detailed chemical mechanism was constructed and thermochemical and rate parameters from computational chemistry calculations were used to model the behavior of the system. Using current continuum solvation models, it does not appear possible to build reliable predictive models of complex aqueous systems, particular those with a high ionic strength. However, the present semi-quantitative models may be helpful in focusing attention on the key unknowns.
(cont.) Group additivity values were estimated for more than 50 new functional groups containing nitrogen based on high-level computational chemistry estimates of the thermochemical parameters of 105 non-cyclic C/H/N/O species. The thermochemical and kinetics databases of the group's Reaction Mechanism Generator software were restructured to be more extensible and to explicitly include nitrogen chemistry. This allows new chemistry to be added to the software more easily and will allow predictions for gas-phase nitrogencontaining systems in the very near future.
by Robert Wilson Ashcraft.
Ph.D.
Kleiner, Matthias. "Thermodynamic modeling of complex systems polar and associating fluids and mixtures." München Verl. Dr. Hut, 2008. http://d-nb.info/992644917/04.
Повний текст джерелаWiltshire, Serge William. "On The Application Of Computational Modeling To Complex Food Systems Issues." ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/1077.
Повний текст джерелаBui, Quang Vu. "Pretopology and Topic Modeling for Complex Systems Analysis : Application on Document Classification and Complex Network Analysis." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEP034/document.
Повний текст джерелаThe work of this thesis presents the development of algorithms for document classification on the one hand, or complex network analysis on the other hand, based on pretopology, a theory that models the concept of proximity. The first work develops a framework for document clustering by combining Topic Modeling and Pretopology. Our contribution proposes using topic distributions extracted from topic modeling treatment as input for classification methods. In this approach, we investigated two aspects: determine an appropriate distance between documents by studying the relevance of Probabilistic-Based and Vector-Based Measurements and effect groupings according to several criteria using a pseudo-distance defined from pretopology. The second work introduces a general framework for modeling Complex Networks by developing a reformulation of stochastic pretopology and proposes Pretopology Cascade Model as a general model for information diffusion. In addition, we proposed an agent-based model, Textual-ABM, to analyze complex dynamic networks associated with textual information using author-topic model and introduced Textual-Homo-IC, an independent cascade model of the resemblance, in which homophily is measured based on textual content obtained by utilizing Topic Modeling
Gramatica, Ruggero. "Quantitative semantics and graph theory as a framework for complex systems modeling." Thesis, King's College London (University of London), 2015. http://kclpure.kcl.ac.uk/portal/en/theses/quantitative-semantics-and-graph-theory-as-a-framework-for-complex-systems-modeling(54bb7023-2f85-4128-898f-cc7039c45ff9).html.
Повний текст джерелаDiergardt, Martin. "Modeling scenarios for analyzing the risks of complex computer based informatin systems /." Zürich : ETH, 2006. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=16712.
Повний текст джерелаAndersson, Johan. "Modeling the temporal behavior of complex embedded systems : a reverse engineering approach." Licentiate thesis, Mälardalen University, Department of Computer Science and Electronics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-125.
Повний текст джерелаDiergardt, Martin. "Modeling scenarios for analyzing the risks of complex computer based information systems." Berlin dissertation.de, 2006. http://www.dissertation.de/buch.php3?buch=5105.
Повний текст джерелаSABELLA, SABRINA. "Complex Modeling and Analysis of the Energy Systems in Afghanistan with OSeMOSYS." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292933.
Повний текст джерелаDenna masteruppsats syftade till att använda kvantitativ analys för att utforska olika vägar för en hållbar utveckling i Afghanistan. Open Source Energy Modeling System (OSeMOSYS) antogs för att bygga en energimodell av landet. Prognoser för efterfrågan på el för bostads-, industri- och kommersiella sektorer skapades med både en bottom-up och top-down-metod. Dessa användes sedan som indata för optimeringsmodellen. Från och med referensscenariot utarbetades ytterligare tre scenarier: Limit Import-scenario, Förnyelsebar scenario och Nationella Policies-scenariot. Dessa visade olika alternativ för den billigaste energimixen och undersökte grundläggande aspekter som ska beaktas för hållbar utveckling, såsom nätåtkomst, energisäkerhet, effektivitet och kostnader, potential för förnybar energi. I detalj, begränsade scenariot Limit Import elimporten upp till 60 % fram till 2050. I det förnybara scenariot tillämpades följande begränsningar av minsta möjliga REpenetration: 20 % till 2020, 30 % till 2030, 40 % till 2040. National Policies-scenariot implementerade kapaciteten hos kraftverk som redan planerades och beställdes av landets framtida planer. Resultaten visade pa ett starkt beroende av import såväl som en konsekvent basbelastning för fossila bränslen i alla scenarier. Även om investeringskostnaderna minskade över tiden skulle förnybara energikällor komma in i mixen endast om strikta mål tillämpades. Vattenkraft representerade den enda gröna tekniken som spelade en större roll i mixen. Sammantaget kan resultaten av denna studie användas som en informativ källa för de nationella beslutsfattarna.
Siddiqui, Jalal K. "Modeling the response of troponin C to calcium in increasingly complex systems." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480258715871156.
Повний текст джерелаDougherty, Francis Laverne. "A Complex Adaptive Systems Analysis of Productive Efficiency." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/65146.
Повний текст джерелаPh. D.
Kamapantula, Bhanu K. "In-silico Models for Capturing the Static and Dynamic Characteristics of Robustness within Complex Networks." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/4049.
Повний текст джерелаErdogan, Ezgi. "A Complex Dynamical Systems Model Of Education, Research, Employment, And Sustainable Human Development." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12612138/index.pdf.
Повний текст джерелаWikberg, Per. "Eliciting Knowledge from Experts in Modeling of Complex Systems : Managing Variation and Interactions." Doctoral thesis, Linköping : Department of Computer and Information Science, Linköping University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10111.
Повний текст джерелаDulac, Nicolas 1978. "A framework for dynamic safety and risk management modeling in complex engineering systems." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42175.
Повний текст джерела"February 2007."
Includes bibliographical references (p. 328-338).
Almost all traditional hazard analysis or risk assessment techniques, such as failure modes and effect analysis (FMEA), fault tree analysis (FTA), and probabilistic risk analysis (PRA) rely on a chain-of-event paradigm of accident causation. Event-based techniques have some limitations for the study of modem engineering systems. Specifically, they are not suited to handle complex software-intensive systems, complex human-machine interactions, and systems-of-systems with distributed decision-making that cut across both physical and organizational boundaries. STAMP (System-Theoretic Accident Model and Processes) is a comprehensive accident model created by Nancy Leveson that is based on systems theory. It draws on concepts from engineering, mathematics, cognitive and social psychology, organizational theory, political science, and economics. The general notion in STAMP is that accidents result from inadequate enforcement of safety constraints in design, development, and operation. STAMP includes traditional failure-based models as a subset, but goes beyond physical failures to include causal factors involving dysfunctional interactions among non-failing components; software and logic design errors; errors in complex human decision-making; various organizational characteristics such as workforce, safety processes and standards, contracting; and other managerial, social, organizational, and cultural factors. The main contribution of this thesis is the augmentation of STAMP with a dynamic executable modeling framework in order to further improve safety in the development and operation of complex engineering systems. This executable modeling framework: 1) enables the dynamic analysis of safety-related decision-making in complex systems, 2) assists with the design and testing of non-intuitive policies and processes to better mitigate risks and prevent time-dependent risk increase, and 3) enables the identification of technical and organizational factors to detect and monitor states of increasing risk before an accident occurs.
(cont.) The modeling framework is created by combining STAMP safety control structures with system dynamic modeling principles. A component-based model-building methodology is proposed to facilitate the building of customized STAMP-based dynamic risk management models and make them accessible to managers and engineers with limited simulation experience. A library of generic executable components is provided as a basis for model creation, refinement, and validation. A toolset is assembled to identify risk increase patterns, analyze time-dependent risks, assist engineers and managers in safety-related decision-making, create and test risk mitigation actions and policies, and monitor the system for states of increasing risk. The usefulness of the new framework is demonstrated in two independent projects: 1) A risk analysis of the NASA Independent Technical Authority (ITA), an organization mandated by the Columbia Accident Investigation Board (CAIB) to provide independent safety oversight of space shuttle operations, and 2) A risk management study for the Exploration Systems Mission Directorate (ESMD) at NASA. For these two projects, model refinement, validation and analysis required extensive data collection and interactions with NASA workforce. Over 45 interviews were conducted at five NASA centers (HQ, MSFC, KSC, JSC, and LaRC). Interviewees included representatives from the Office of the Administrator, the Office of the Chief Engineer, the Office of Safety and Mission Assurance, ESMD Directorate Offices, Program/Project Offices, and many others. Among other data sources, 200 pages of interview transcripts were compiled and used for model creation and validation activities. Specific risks analyzed include: 1) NASA workforce and knowledge management issues, 2) the impact of various levels of outsourcing, 3) the impact of safety priority on design, and 4) the impact of requirements change on safety and schedule during development.
by Nicolas Dulac.
Ph.D.
Tao, Li. "Understanding the performance of healthcare services: a data-driven complex systems modeling approach." HKBU Institutional Repository, 2014. https://repository.hkbu.edu.hk/etd_oa/89.
Повний текст джерелаCao, Libo. "Nonlinear Wavelet Compression Methods for Ion Analyses and Dynamic Modeling of Complex Systems." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1107790393.
Повний текст джерелаSeer, Qiu Han. "Complex Dynamics in Fed-Batch Systems: Modeling, Analysis and Control of Alcoholic Fermentations." Thesis, Curtin University, 2017. http://hdl.handle.net/20.500.11937/56546.
Повний текст джерелаRogers, Bradley W. (Bradley Warren). "Understanding, modeling and improving the development of complex products : method and study." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/49780.
Повний текст джерелаIncludes bibliographical references (p. 90).
Development of new aerostructure designs frequently occurs through a complex process that is difficult to understand and control. Tight requirements for weight, cost, strength, and aerodynamic behavior create many interdependencies in the product design, which translate through to the design process. An increasing fragmentation of the commercial aerospace industry has also added a dimension of complexity to the process - outsourced component designs are often interdependent with in-house component designs, resulting in frequently changing requirements for supplier components during the design process. This thesis offers an analysis of the product development processes of a first-tier aerostructures supplier, Spirit AeroSystems. Although this host company provides the context for analysis, the method is meant to be generally applicable to the development of any complex product. The Design Structure Matrix (DSM) methodology is used to capture the required interaction between tasks of the development of a propulsion structure for commercial aircraft. The task times, time variations, work loads, interdependencies, likelihoods of rework, and learning curves are then quantified and applied to a discrete-event Monte Carlo simulation model which outputs probabilistic completion time and workload of the project. The model is then used to show how changing the customer requirements at different points in the development cycle affect the cost and schedule of development.
(cont.) The failure modes and effects analysis (FMEA) is applied to quantify risks and ensure proper control of their likelihoods and consequences A holistic industry-level analysis provides insight into the complexities of developing an interdependent product across multiple organizations. Potential recommendations to improve the development process are outlined. Finally, the "Three Lens" methodology is applied to identify implementation obstacles. This paper builds upon product development process simulation theory by introducing process independent externalities into the model to show how changing customer requirements may impact the cost and schedule of development. It also proposes a new framework for optimal staffing based upon the maturity of the customer requirements. Finally this paper shows that a disintegrated, sections-based design process architecture, like that used for the Boeing 787, is sub-optimal for product development, and it proposes a new architecture for developing aircraft.
by Bradley W. Rogers.
S.M.
M.B.A.
Bian, Linkan. "Stochastic modeling and prognostic analysis of complex systems using condition-based real-time sensor signals." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/51753.
Повний текст джерелаPrabhala, Sasanka V. "Designing Computer Agents with Personality to Improve Human-Machine Collaboration in Complex Systems." Wright State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1173299872.
Повний текст джерелаJha, Sumit Kumar. "Model Validation and Discovery for Complex Stochastic Systems." Research Showcase @ CMU, 2010. http://repository.cmu.edu/dissertations/10.
Повний текст джерелаGrabowicz, Przemyslaw Adam. "Complex networks approach to modeling online social systems. The emergence of computational social science." Doctoral thesis, Universitat de les Illes Balears, 2014. http://hdl.handle.net/10803/131220.
Повний текст джерелаLa presente tesis está dedicada a la descripción, análisis y modelado cuantitativo de sistemas complejos sociales en forma de redes sociales en internet. Mediante el uso de métodos y conceptos provenientes de ciencia de redes, análisis de redes sociales y minería de datos se descubren diferentes patrones estadísticos de los sistemas estudiados. Uno de los objetivos a largo plazo de esta línea de investigación consiste en hacer posible la predicción del comportamiento de sistemas complejos tecnológico-sociales, de un modo similar a la predicción meteorológica, usando inferencia estadística y modelado computacional basado en avances en el conocimiento de los sistemas tecnológico-sociales. A pesar de que el objeto del presente estudio son seres humanos, en lugar de los átomos o moléculas estudiados tradicionalmente en la física estadística, la disponibilidad de grandes bases de datos sobre comportamiento humano hace posible el uso de técnicas y métodos de física estadística. En el presente trabajo se utilizan grandes bases de datos provenientes de redes sociales en internet, se miden patrones estadísticos de comportamiento social, y se desarrollan métodos cuantitativos, modelos y métricas para el estudio de sistemas complejos tecnológico-sociales.
Koch, Patrick N. "Hierarchical modeling and robust synthesis for the preliminary design of large scale complex systems." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/16651.
Повний текст джерелаLuo, Weiqi. "Atomistic Materials Modeling of Complex Systems: Carbynes, Carbon Nanotube Devices and Bulk Metallic Glasses." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1218567734.
Повний текст джерелаGanapathy, Subhashini. "HUMAN-CENTERED TIME-PRESSURED DECISION MAKING IN DYNAMIC COMPLEX SYSTEMS." Wright State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=wright1152229142.
Повний текст джерелаHuchak, Bogdan, and Богдан Олексійович Гучак. "Application of the theory of complex systems in studies of the functioning of air transport systems." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/51117.
Повний текст джерелаA complex system is a system that consists of elements of different types and has heterogeneous connections between them, so the air transport system consists of a set of jointly operating aircraft, a complex of ground facilities for flight preparation and support, personnel engaged in flight operation, maintenance, and repair of aircraft and ground facilities, as well as subsystems for controlling the process of flight and technical operation. Structurally, ATS includes the following elements: crew, aircraft, flight and technical operation system, flight support system, ATS. Further applying a systematic approach to considering the problem of flight safety, individual elements of the ATC or their combination, in turn, can be considered as an independent system, for example, "Crew - Aircraft".
Складна система - це система, що складається з елементів різного типу і має неоднорідні зв’язки між собою, тому система повітряного транспорту складається з набору літаків, що діють спільно, комплексу наземних споруд для підготовки та забезпечення польоту, персоналу, задіяного в польоті , технічне обслуговування та ремонт літальних та наземних споруд, а також підсистем управління процесом польоту та технічної експлуатації. Структурно ОПР включає такі елементи: екіпаж, літальний апарат, систему льотно-технічної експлуатації, систему забезпечення польотів, ОПР. Надалі застосовуючи системний підхід до розгляду проблеми безпеки польотів, окремі елементи УВД або їх поєднання, в свою чергу, можна розглядати як самостійну систему, наприклад, "Екіпаж - Літак".
Chaves, Café Daniel. "Multi-level modeling for verification and synthesis of complex systems in a multi-physics context." Thesis, CentraleSupélec, 2015. http://www.theses.fr/2015SUPL0019/document.
Повний текст джерелаIn the era of highly integrated electronics systems, engineers face the challenge of designing and testing multi-faceted systems with single-domain tools. This is difficult and error-prone. These so called heterogeneous systems have their operation and specifications expressed by several formalisms, each one particular to specific domains or engineering fields (software, digital hardware, analog, etc.). Existing design tools are meant to deal with homogeneous designs using one formalism at a time. In the current state, industry is forced to battle with integration issues at every design step, i.e. specification, simulation, validation and deployment. Common divide-to-conquer approaches do not include cross-domain interface specification from the beginning of the project. This lack is often the cause of issues and rework while trying to connect parts of the system that were not designed with the same formalism. This thesis proposes an approach to deal with heterogeneity by embracing it from the beginning of the project using SysML as the unifying tool. Our proposal hinges on the assignment of well-defined semantics to SysML diagrams, together with semantic adaptation elements. To demonstrate the effectiveness of this concept, a toolchain is built and used to generate systems simulation executable code automatically from SysML specifications for different target languages using model driven engineering techniques