Academic literature on the topic 'Complex and heterogeneous dynamic system'
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Journal articles on the topic "Complex and heterogeneous dynamic system"
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Naumkina, Dina, Alexander Rostovtsev, and Alexandr Abramov. "Digital heterogeneous dynamic model of peled Coregonus peled Gmelin." Fisheries 2020, no. 5 (October 9, 2020): 80–85. http://dx.doi.org/10.37663/0131-6184-2020-5-80-85.
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The article provides an example of constructing a complex dynamic model of a biological and economic system with the commodity two-year-old peled growing in Lake Ik in 2017-2018 as a case study. A brief description of the lake and a detailed description of the principle of constructing a heterogeneous dynamic model are given. A block diagram of a heterogeneous biological and economic system is under construction. The scenario of temporal development of the system is described. As a result, the model itself is presented in the form of graphs showing time dynamics of the amount of food, fish biomass, and working capital of the peled growing business process.
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Liu, Feng, and Yaguang Li. "Complex Nonlinear Dynamic System of Oligopolies Price Game with Heterogeneous Players Under Noise." International Journal of Bifurcation and Chaos 26, no. 11 (October 2016): 1650183. http://dx.doi.org/10.1142/s0218127416501832.
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A nonlinear four oligopolies price game with heterogeneous players, that are boundedly rational and adaptive, is built using two different special demand costs. Based on the theory of complex discrete dynamical system, the stability and the existing equilibrium point are investigated. The complex dynamic behavior is presented via bifurcation diagrams, the Lyapunov exponents to show equilibrium state, bifurcation and chaos with the variation in parameters. As disturbance is ubiquitous in economic systems, this paper focuses on the analysis of delay feedback control method under noise circumstances. Stable dynamics is confirmed to depend mainly on the low price adjustment speed, and if all four players have limited opportunities to stabilize the market, the new adaptive player facing profits of scale are found to be higher than the incumbents of bounded rational.
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Nilsson, Jacob, Saleha Javed, Kim Albertsson, Jerker Delsing, Marcus Liwicki, and Fredrik Sandin. "AI Concepts for System of Systems Dynamic Interoperability." Sensors 24, no. 9 (May 3, 2024): 2921. http://dx.doi.org/10.3390/s24092921.
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Interoperability is a central problem in digitization and sos engineering, which concerns the capacity of systems to exchange information and cooperate. The task to dynamically establish interoperability between heterogeneous cps at run-time is a challenging problem. Different aspects of the interoperability problem have been studied in fields such as sos, neural translation, and agent-based systems, but there are no unifying solutions beyond domain-specific standardization efforts. The problem is complicated by the uncertain and variable relations between physical processes and human-centric symbols, which result from, e.g., latent physical degrees of freedom, maintenance, re-configurations, and software updates. Therefore, we surveyed the literature for concepts and methods needed to automatically establish sos with purposeful cps communication, focusing on machine learning and connecting approaches that are not integrated in the present literature. Here, we summarize recent developments relevant to the dynamic interoperability problem, such as representation learning for ontology alignment and inference on heterogeneous linked data; neural networks for transcoding of text and code; concept learning-based reasoning; and emergent communication. We find that there has been a recent interest in deep learning approaches to establishing communication under different assumptions about the environment, language, and nature of the communicating entities. Furthermore, we present examples of architectures and discuss open problems associated with ai-enabled solutions in relation to sos interoperability requirements. Although these developments open new avenues for research, there are still no examples that bridge the concepts necessary to establish dynamic interoperability in complex sos, and realistic testbeds are needed.
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LIU, HUI-MIN, PATRICK WANG, HONG-QIANG WANG, and XIANG LI. "DYNAMIC MANAGEMENT OF MULTIPLE CLASSIFIERS IN COMPLEX RECOGNITION SYSTEM." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 04 (June 2012): 1250006. http://dx.doi.org/10.1142/s0218001412500061.
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There are different kinds of multiple classifiers in complex recognition systems in pursuit of better recognition capabilities. To exploit the classifiers' potential as individual ones sufficiently and enable them to work cooperatively for the best classification results, they need to be considered as a whole and be dynamically managed according to the changing recognition occasions. In this paper, we present the conception of distributed Multiple Classifiers Management (MCM) and a self-adaptive recursive MCM model based on Mixture-of-Experts (ME). A control subsystem is consisted in the model, which allows the classification progress to be controlled by the systems' priori information when necessary. The model adjusts its parameters dynamically according to the current recognition state and gives the recognition results by combining the current individual classifiers' results with the previous combination result under priori information's control. An algorithm based on one step error correction is presented to acquire the model's parameters dynamically. It takes the previous times' ensemble classification results as true and corrects the current weights of the classifiers. At last, an experiment on the recognition of space objects is simulated. The experiment results show that the MCM model in this paper is effective for complex recognition system containing heterogeneous classifiers on improving the recognition rate and robustness.
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Wang, Jian, Xiaolin Qin, and Hongying Fang. "Virus-Information Coevolution Spreading Dynamics on Multiplex Networks." Complexity 2021 (March 5, 2021): 1–9. http://dx.doi.org/10.1155/2021/6624612.
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Virus and information spreading dynamics widely exist in complex systems. However, systematic study still lacks for the interacting spreading dynamics between the two types of dynamics. This paper proposes a mathematical model on multiplex networks, which considers the heterogeneous susceptibility and infectivity in two subnetworks. By using a heterogeneous mean-field theory, we studied the dynamic process and outbreak threshold of the system. Through extensive numerical simulations on artificial networks, we find that the virus’s spreading dynamics can be suppressed by increasing the information spreading probability, decreasing the protection power, or decreasing the susceptibility and infectivity.
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Yalamova, Rossitsa. "Financial Engineering in Complex Dynamic Systems." Financial Engineering 1 (November 28, 2023): 345–52. http://dx.doi.org/10.37394/232032.2023.1.32.
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This paper explores the dynamic nature of financial markets through the lens of complex adaptive systems (CAS) theory, aiming to provide a comprehensive understanding of how financial markets deviate from the Efficient Market Hypothesis in extreme events such as bubbles and crashes. Traditional economic models often struggle to capture the intricate dynamics of 'self-organizing' financial markets, particularly the interaction between supply and demand in the face of evolving risks. CAS theory offers a promising framework for modeling asset prices, emphasizing the interconnectedness and adaptability of various agents within the system. The literature review highlights the significance of CAS theory in understanding the collective adaptation that emerges from interactions among heterogeneous agents. Notably, researchers such as Holland (1995) and Axelrod (1997) have demonstrated how simple agent-level rules can lead to sophisticated, self-organizing behaviors at the system level, resulting in more efficient outcomes. This paper also discusses the pivotal role of financial engineering in enhancing the adaptive capacity of socioeconomic systems under extreme stress. In an increasingly unpredictable world characterized by natural disasters, economic crises, and other unforeseen events, risk management serves as a vital mechanism for volatility mitigation and financial protection. By spreading risk collectively through hedging strategies, financial engineering not only provides portfolio security but also contributes to the resilience of financial and economic systems. By merging insights from CAS theory and the role of financial engineering in increasing adaptive capacity, this paper contributes to a more comprehensive understanding of the risk dynamics in financial markets impacting economic activities. Financial engineering tools mitigate negative shocks and reduce the severity of recessionary cycles. An attempt is made to explain how collective adaptation can lead to more efficient risk management and pricing, ultimately helping policymakers, fund managers, and researchers navigate the complexities of modern financial markets and fortify socioeconomic systems against extreme stressors.
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Li, Zhi Hua, Hong Guang Yang, Jun Yu, and You Ping Gong. "Modeling and Simulation of the PMSM-Precision Reducer System with Modelica." Applied Mechanics and Materials 201-202 (October 2012): 202–7. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.202.
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There is still lack of effective modeling and simulation method for complex electromechanical coupling system. Modelica is a multi-domain unified modeling language to solve the modeling and simulation problems of the complex and heterogeneous physical systems. Dymola is a Modelica-based modeling and simulation platform for the complex physical systems. In this paper, the dynamics model of the permanent magnet synchronous motor (PMSM)-precision reducer system is established using Lagrange-Maxwell equation. The simulation model of this system is set up with Modelica language. The simulation of the system is realized in Dymola. Results show that the system can respond to good static and dynamic characteristics under a given speed for different loads. The dynamics model of the PMSM-precision reducer system can be further used in system control and optimization. The proposed modeling and simulation method based on Modelica may be commonly applied to other complex electromechanical systems.
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Zhao, Liuwei. "Dynamic Analysis and Chaos Control of Bertrand Triopoly Based on Differentiated Products and Heterogeneous Expectations." Discrete Dynamics in Nature and Society 2020 (July 11, 2020): 1–17. http://dx.doi.org/10.1155/2020/2012680.
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Price competition has become a universal commercial phenomenon nowadays. This paper considers a dynamic Bertrand price game model, in which enterprises have heterogeneous expectations. By the stability theory of the dynamic behavior of the Bertrand price game model, the instability of the boundary equilibrium point and the stability condition of the internal equilibrium point are obtained. Furthermore, bifurcation diagram, basin of attraction, and critical curve are introduced to investigate the dynamic behavior of this game. Numerical analysis shows that the change of model parameters in a dynamic system has a significant impact on the stability of the system and can even lead to complex dynamic behaviors in the evolution of the entire economic system. This kind of complex dynamic behavior will cause certain damage to the stability of the whole economic system, causing the market to fall into a chaotic state, which is manifested as a kind of market disorder competition, which is very unfavorable to the stability of the economic system. Therefore, the chaotic behavior of the dynamical system is controlled by time-delay feedback control and the numerical analysis shows that the effective control of the dynamical system can be unstable behavior and the rapid recovery of the market can be stable and orderly.
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Hoshu, Ayaz Ahmed, Liuping Wang, Shahzeb Ansari, Abdul Sattar, and Manzoor Hyder Alias Bilal. "System Identification of Heterogeneous Multirotor Unmanned Aerial Vehicle." Drones 6, no. 10 (October 20, 2022): 309. http://dx.doi.org/10.3390/drones6100309.
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An energy efficient heterogeneous multirotor unmanned aerial system (UAS) is presented in this paper, wherein, the aerodynamical characteristics of both helicopter and quadrotor are obtained in a single multirotor design. It features the energy efficiency and endurance of a helicopter, while keeping the mechanical simplicity, control and maneuverability of a quadrotor; employing a single large central rotor to get majority of the lift and four small arm canted rotors for control. Developing the stable and robust control strategy requires the accurate model of system. Due to the added mechanical complexities of the new design including the existence of couplings and gyroscopics, the modelling through the dynamic equations of the multirotor would not be possible in providing accurate results. Therefore, precise system modelling is required for the development of stable and robust control strategy. This paper proposes a novel system identification method with the objective to experimentally estimation of the precise dynamic model of the heterogeneous multirotor. The approach comprises of the utilization of input excitation signals, frequency sampling filter and derivation of transfer functions through complex curve fitting method. To validate the accuracy of the obtained transfer functions, the experimentally auto-tuned PID controllers are implemented over the transfer functions. Custom designed fight controller is used to experimentally implement the proposed idea. Presented results demonstrate the efficacy of the proposed approach for heterogeneous multirotor UAS.
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Gabriel, Alice-Agnes, Thomas Ulrich, Mathilde Marchandon, James Biemiller, and John Rekoske. "3D Dynamic Rupture Modeling of the 6 February 2023, Kahramanmaraş, Turkey Mw 7.8 and 7.7 Earthquake Doublet Using Early Observations." Seismic Record 3, no. 4 (October 1, 2023): 342–56. http://dx.doi.org/10.1785/0320230028.
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Abstract The 2023 Turkey earthquake sequence involved unexpected ruptures across numerous fault segments. We present 3D dynamic rupture simulations to illuminate the complex dynamics of the earthquake doublet. Our models are constrained by observations available within days of the sequence and deliver timely, mechanically consistent explanations of the unforeseen rupture paths, diverse rupture speeds, multiple slip episodes, heterogeneous fault offsets, locally strong shaking, and fault system interactions. Our simulations link both earthquakes, matching geodetic and seismic observations and reconciling regional seismotectonics, rupture dynamics, and ground motions of a fault system represented by 10 curved dipping segments and embedded in a heterogeneous stress field. The Mw 7.8 earthquake features delayed backward branching from a steeply branching splay fault, not requiring supershear speeds. The asymmetrical dynamics of the distinct, bilateral Mw 7.7 earthquake are explained by heterogeneous fault strength, prestress orientation, fracture energy, and static stress changes from the previous earthquake. Our models explain the northward deviation of its eastern rupture and the minimal slip observed on the Sürgü fault. 3D dynamic rupture scenarios can elucidate unexpected observations shortly after major earthquakes, providing timely insights for data-driven analysis and hazard assessment toward a comprehensive, physically consistent understanding of the mechanics of multifault systems.
Dissertations / Theses on the topic "Complex and heterogeneous dynamic system"
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SANSONE, ALESSANDRO. "Applications of Nonlinear Dynamics and Complex Systems Theory to Finance." Doctoral thesis, La Sapienza, 2007. http://hdl.handle.net/11573/917404.
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Mark, Christoph [Verfasser], Ben [Akademischer Betreuer] Fabry, Ben [Gutachter] Fabry, Rainer [Gutachter] Böckmann, and Josef [Gutachter] Käs. "Heterogeneous stochastic processes in complex dynamic systems / Christoph Mark ; Gutachter: Ben Fabry, Rainer Böckmann, Josef Käs ; Betreuer: Ben Fabry." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2018. http://d-nb.info/1175206369/34.
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CROCIANI, LUCA. "Complex Heterogeneous Crowding Phenomena: Multi-Agent Modeling, Simulation, Empirical Evidences and the Case of Elderly Pedestrians." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/102390.
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The simulation of complex systems is nowadays one of the major applications of the multi-agent paradigm and it is widely applied in many fields. In the current scenario of global urbanization, the research for the development of intelligent transportation systems has gain much interests in the last decades, and it has produced relevant efforts on the simulation field as well. Collective forms of transport are one of the most sensible solutions for mitigating traffic congestion and pollution, and they imply a growing importance of pedestrians in the planning and design activities.
The Thesis focusses on these activities, proposing discrete approaches for the microscopic simulation of pedestrian traffic with several innovative components. The literature of pedestrian modeling, presented in Chapter 2, can be classified with a three layers scheme that defines the behavioral levels of pedestrian choices. Most of the literature is aimed at the simulation of the so-called "operational" level that describes, in the case of pedestrian, the pure walking behavior from sources to destinations. At this bottom-line level, in fact, the consistent empirical knowledge on the physical properties of the pedestrian traffic allows a sufficient validation of the simulation models, which are then usable for a dynamical analysis of pedestrian flows in arbitrary environments. Nonetheless, the consideration of only the operational level lacks the route choice activity of pedestrians, which resides at the tactical level and that becomes fundamental if the simulation scenario represents a complex environment, with also different possible intermediate points (e.g. ticket windows). Available knowledge on pedestrian wayfinding is scarce, but designing simulation models for this activity is a way of defining requirements for further studies on this topic.
Chapter 3 discusses the first microscopic model proposed for pedestrian traffic. The model proposes a hybrid agents architecture describing two synchronized and communicating components to deal with both tactical and operational level of pedestrian behavior. At the lowest level the model extends the well-known floor field model, proposing innovative extensions as the consideration of pedestrian groups and an approach to manage different speeds of people. The component dedicated to the route choice of the agents describes an adaptive behavior aimed at minimizing the individual traveling time towards the final destination, considering the static configuration of the environment and the perceived state of the system.
Chapter 4 presents the results of the simulation model by firstly presenting quantitative results on the operational level, which are compared with state-of-art empirical data. Experiments about the tactical level explore the overall behavior of the simulated pedestrians in presence of different paths towards a destination.
Chapter 5 analyzes a slightly different microscopic model defined for the walking behavior of pedestrian, whose aim is an integration with the MATSim simulation system, based on a queue model and mainly used for vehicular traffic simulation in metropolitan areas. The definition of this model finds its purposes in the approach to manage the route choice inherited from MATSim, which follows an iterative learning algorithm implying numerous simulations of the same scenario. Starting from a systematic choice of the shortest path at the first iteration, the agents are able to adjust their routes, for the following iteration, based on the traveling time experienced at the current iteration. The simulation campaign can converge to an equilibrium, of different type (Nash equilibrium or system optimum) according to the perceived travel time. This alternative microscopic model for pedestrian traffic is very simple and optimized, yet is able to be perfectly calibrated to fit the empirical data for the validation, as it will be shown in the results section.
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Faller, Daniel. "Analysis and dynamic modelling of complex systems." [S.l. : s.n.], 2003. http://www.freidok.uni-freiburg.de/volltexte/777.
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Vaneman, Warren Kenneth. "Evaluating System Performance in a Complex and Dynamic Environment." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/30043.
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Realistically, organizational and/or system efficiency performance is dynamic, non-linear, and a function of multiple interactions in production. However, in the efficiency literature, system performance is frequently evaluated considering linear combinations of the input/output variables, without explicitly taking into account the interactions and feedback mechanisms that explain the causes of efficiency behavior, the dynamic nature of production, and non-linear combinations of the input/output variables. Consequently, policy decisions based on these results may be sub-optimized because the non-linear relationships among variables, causal relationships, and feedback mechanisms are ignored.
This research takes the initial steps of evaluating system efficiency performance in a dynamic environment, by relating the factors that effect system efficiency performance to the policies that govern it. First, this research extends the concepts of the static production axioms into a dynamic realm, where inputs are not instantaneously converted into outputs. The relationships of these new dynamic production axioms to the basic behaviors associated with system dynamics structures are explored. Second, this research introduces a methodological approach that combines system dynamics modeling with the measurement of productive efficiency. System dynamics is a modeling paradigm that evaluates system policies by exploring the causal relationships of the important elements within the system. This paradigm is coupled with the fundamental assumptions of production theory in order to evaluate the productive efficiency of a production system operating within a dynamic and non-linear environment. As a result, a subsystem within the system dynamics model is introduced that computes efficiency scores based on the fundamental notions of productive efficiency. The framework's ability to combine prescriptive and descriptive modeling characteristics, as well as dynamic and combinatorial complexity, can potentially have a greater impact on policy decisions and how they affect system efficiency performance. Finally, the utility of these concepts is demonstrated in an implementation case study. This methodology generates a prescriptive dynamical production frontier which defines the optimal production resources required to satisfy system requirements. Additionally, the dynamical production frontier allows for analysis for comparisons between options during a transient period, insight into possible unintended consequences, and the ability to forecast optimal times for introducing system or process improvements.Ph. D.
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Gupta, Amit. "Model reduction and simulation of complex dynamic systems /." Online version of thesis, 1990. http://hdl.handle.net/1850/11265.
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Peterson, Thomas. "Dynamic Allocation for Embedded Heterogeneous Memory : An Empirical Study." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223904.
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Embedded systems are omnipresent and contribute to our lives in many ways by instantiating functionality in larger systems. To operate, embedded systems require well-functioning software, hardware as well as an interface in-between these. The hardware and software of these systems is under constant change as new technologies arise. An actual change these systems are undergoing are the experimenting with different memory management techniques for RAM as novel non-volatile RAM(NVRAM) technologies have been invented. These NVRAM technologies often come with asymmetrical read and write latencies and thus motivate designing memory consisting of multiple NVRAMs. As a consequence of these properties and memory designs there is a need for memory management that minimizes latencies.This thesis addresses the problem of memory allocation on heterogeneous memory by conducting an empirical study. The first part of the study examines free list, bitmap and buddy system based allocation techniques. The free list allocation technique is then concluded to be superior. Thereafter, multi-bank memory architectures are designed and memory bank selection strategies are established. These strategies are based on size thresholds as well as memory bank occupancies. The evaluation of these strategies did not result in any major conclusions but showed that some strategies were more appropriate for someapplication behaviors.Inbyggda system existerar allestädes och bidrar till våran livsstandard på flertalet avseenden genom att skapa funktionalitet i större system. För att vara verksamma kräver inbyggda system en välfungerande hård- och mjukvara samt gränssnitt mellan dessa. Dessa tre måste ständigt omarbetas i takt med utvecklingen av nya användbara teknologier för inbyggda system. En förändring dessa system genomgår i nuläget är experimentering med nya minneshanteringstekniker för RAM-minnen då nya icke-flyktiga RAM-minnen utvecklats. Dessa minnen uppvisar ofta asymmetriska läs och skriv fördröjningar vilket motiverar en minnesdesign baserad på flera olika icke-flyktiga RAM. Som en konsekvens av dessa egenskaper och minnesdesigner finns ett behov av att hitta minnesallokeringstekniker som minimerar de fördröjningar som skapas. Detta dokument adresserar problemet med minnesallokering på heterogena minnen genom en empirisk studie. I den första delen av studien studerades allokeringstekniker baserade på en länkad lista, bitmapp och ett kompissystem. Med detta som grund drogs slutsatsen att den länkade listan var överlägsen alternativen. Därefter utarbetades minnesarkitekturer med flera minnesbanker samtidigt som framtagandet av flera strategier för val av minnesbank utfördes. Dessa strategier baserades på storleksbaserade tröskelvärden och nyttjandegrad hos olika minnesbanker. Utvärderingen av dessa strategier resulterade ej i några större slutsatser men visade att olika strategier var olika lämpade för olika beteenden hos applikationer.
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Balchanos, Michael Gregory. "A probabilistic technique for the assessment of complex dynamic system resilience." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43730.
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In the presence of operational uncertainty, one of the greatest challenges in systems engineering is to ensure system effectiveness, mission capability and survivability. Safety management is shifting from passive, reactive and diagnosis-based approaches to autonomous architectures that will manage safety and survivability through active, proactive and prognosis-based solutions. Resilience engineering is an emerging discipline, with alternative recommendations on safer and more survivable system architectures. A resilient system can "absorb" the impact of change due to unexpected disturbances, while it "adapts" to change, in order to maintain its physical integrity and mission capability. A framework of proposed resilience estimations is the basis for a scenario-based assessment technique, driven by modeling and simulation-based (M&S) analysis, for obtaining system performance, health monitoring, damage propagation and overall mission capability responses. For the technique development and testing, a small-scale canonical problem has been formulated, involving a reconfigurable spring-mass-damper system, in a multi-spring configuration. Operational uncertainty is introduced through disturbance factors, such as external forces with varying magnitude, input frequency, event duration and occurrence time. Case studies with varying levels of damping and alternative reconfiguration strategies return the effects of operational uncertainty on system performance, mission capability, and survivability, as well as on the "restore", "absorb", and "adapt" resilience capacities. The Topological Investigation for Resilient and Effective Systems, through Increased Architecture Survivability (TIRESIAS) technique is demonstrated for a reduced scale, reconfigurable naval cooling network application. With uncertainty effects modeled through network leak combinations, TIRESIAS provides insight on leak effects to survival times, mission capability degradations, and on resilience function capacities, for the baseline configuration. Comparative case studies were conducted for different architecture configurations, which have been generated for different total number of control valves and valve locations on the topology.
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Meslmawy, Mahdi Abed Salman. "Efficient ressources management in a ditributed computer system, modeled as a dynamic complex system." Thesis, Le Havre, 2015. http://www.theses.fr/2015LEHA0007/document.
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Les grilles et les clouds sont deux types aujourd'hui largement répandus de systèmes informatiques distribués (en anglais DCS). Ces DCS sont des systèmes complexes au sens où leur comportement global émergent résulte de l'interaction décentralisée de ses composants, et n'est pas guidée directement de manière centralisée. Dans notre étude, nous présentons un modèle de système complexe qui gère de manière la plus efficace possible les ressources d'un DCS. Les entités d'un DCS réagissent à l'instabilité du système et s'ajustent aux conditions environnementales pour optimiser la performance du système. La structure des réseaux d'interaction qui permettent un accès rapide et sécurisé aux ressources disponibles est étudiée, et des améliorations proposéesGrids and clouds are types of currently widely known distributed computing systems or DCSs. DCSs are complex systems in the sense that their emergent global behavior results from decentralized interaction of its parts and is not guided directly from a central point. In our study, we present a complex system model that efficiently manages the ressources of a DCS. The entities of the DCS react to system instability and adjust their environmental condtions for optimizing system performance. The structure of the interaction networks that allow fast and reliable access to available resources is studied and improvements ar proposed
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Moukir, Sara. "High performance analysis for road traffic control." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG039.
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La réduction des temps de trajet et de la consommation d'énergie dans les réseaux routiers urbains est cruciale pour le bien-être collectif et la durabilité environnementale. Depuis les années 1950, la modélisation du trafic a été un axe central de la recherche. Avec l'évolution des capacités informatiques, des simulations sophistiquées représentant fidèlement les complexités du trafic routier ont émergé, essentielles pour évaluer les technologies sans perturber le trafic réel.Les systèmes de transport deviennent plus complexes avec des informations en temps réel, nécessitant des modèles de simulation adaptés. Les simulations multi-agents, analysant les comportements individuels dans un environnement dynamique, sont particulièrement efficaces pour cette tâche, permettant de comprendre et de gérer le trafic urbain en représentant les interactions entre les voyageurs et leur environnement.Simuler de grandes populations de voyageurs dans les villes a longtemps été une tâche exigeante en termes de ressources informatiques. Les technologies avancées permettant la distribution des calculs sur plusieurs ordinateurs ont ouvert de nouvelles possibilités. Cependant, de nombreux simulateurs de mobilité urbaine n'exploitent pas pleinement ces architectures distribuées, limitant leur capacité à modéliser des scénarios complexes.L'objectif principal de cette recherche est d'améliorer la performance algorithmique et computationnelle des simulateurs de mobilité. Nous développons et validons des modèles de distribution génériques et reproductibles pouvant être adoptés par divers simulateurs de mobilité multi-agents, surmontant ainsi les barrières techniques pour analyser les systèmes de transport complexes dans des environnements urbains dynamiques.Nous utilisons le simulateur de trafic MATSim, reconnu pour la simulation de trafic multi-agents, pour tester nos méthodes génériques. Notre première contribution applique l'approche "Unite and Conquer" (UC) à MATSim. Cette méthode accélère les simulations en exploitant les architectures informatiques modernes. L'approche multiMATSim réplique plusieurs instances de MATSim sur plusieurs nœuds de calcul avec des communications périodiques, chaque instance fonctionnant sur un nœud séparé, utilisant les capacités de multithreading de MATSim pour améliorer le parallélisme. La synchronisation périodique assure la cohérence des données, tandis que les mécanismes de tolérance aux pannes permettent à la simulation de se poursuivre même en cas d'échec de certaines instances. Cette approche optimise l'utilisation des ressources informatiques selon les capacités spécifiques de chaque nœud.La deuxième contribution explore les techniques d'intelligence artificielle pour accélérer la simulation. Nous utilisons des réseaux de neurones profonds pour prédire les résultats des simulations MATSim. Initialement mise en œuvre sur un seul nœud, cette approche de preuve de concept utilise efficacement les ressources CPU disponibles. Les réseaux de neurones sont entraînés sur des données de simulations précédentes pour prédire des indicateurs tels que les temps de trajet et les niveaux de congestion. Les résultats sont comparés à ceux de MATSim pour évaluer leur précision. Cette approche est conçue pour évoluer avec des plans futurs pour une formation distribuée sur plusieurs nœuds.En résumé, nos contributions fournissent de nouvelles variantes algorithmiques et explorent l'intégration du calcul haute performance et de l'IA dans les simulateurs de trafic multi-agents. Nous démontrons l'impact de ces modèles et technologies sur la simulation de trafic, en abordant les défis et les limites de leur mise en œuvre. Notre travail met en évidence les avantages des architectures émergentes et des nouveaux concepts algorithmiques pour améliorer la robustesse et la performance des simulateurs de trafic, avec des résultats prometteursThe need to reduce travel times and energy consumption in urban road networks is critical for improving collective well-being and environmental sustainability. Since the 1950s, traffic modeling has been a central research focus. With the rapid evolution of computing capabilities in the 21st century, sophisticated digital simulations have emerged, accurately depicting road traffic complexities. Mobility simulations are essential for assessing emerging technologies like cooperative systems and dynamic GPS navigation without disrupting real traffic.As transport systems become more complex with real-time information, simulation models must adapt. Multi-agent simulations, which analyze individual behaviors within a dynamic environment, are particularly suited for this task. These simulations help understand and manage urban traffic by representing interactions between travelers and their environment.Simulating large populations of travelers in cities, potentially millions of individuals, has historically been computationally demanding. Advanced computer technologies allowing distributed calculations across multiple computers have opened new possibilities. However, many urban mobility simulators do not fully exploit these distributed architectures, limiting their ability to model complex scenarios involving many travelers and extensive networks.The main objective of this research is to improve the algorithmic and computational performance of mobility simulators. We aim to develop and validate generic and reproducible distribution models that can be adopted by various multi-agent mobility simulators. This approach seeks to overcome technical barriers and provide a solid foundation for analyzing complex transport systems in dynamic urban environments.Our research leverages the MATSim traffic simulator due to its flexibility and open structure. MATSim is widely recognized in the literature for multi-agent traffic simulation, making it an ideal candidate to test our generic methods.Our first contribution applies the "Unite and Conquer" (UC) approach to MATSim. This method accelerates simulation speed by leveraging modern computing architectures. The multiMATSim approach involves replicating several MATSim instances across multiple computing nodes with periodic communications. Each instance runs on a separate node, utilizing MATSim's native multithreading capabilities to enhance parallelism. Periodic synchronization ensures data consistency, while fault tolerance mechanisms allow the simulation to continue smoothly even if some instances fail. This approach efficiently uses diverse computational resources based on each node's specific capabilities.The second contribution explores artificial intelligence techniques to expedite the simulation process. Specifically, we use deep neural networks to predict MATSim simulation outcomes. Initially implemented on a single node, this proof-of-concept approach efficiently uses available CPU resources. Neural networks are trained on data from previous simulations to predict key metrics like travel times and congestion levels. The outputs are compared to MATSim results to assess accuracy. This approach is designed to scale, with future plans for distributed neural network training across multiple nodes.In summary, our contributions provide new algorithmic variants and explore integrating high-performance computing and AI into multi-agent traffic simulators. We aim to demonstrate the impact of these models and technologies on traffic simulation, addressing the challenges and limitations of their implementation. Our work highlights the benefits of emerging architectures and new algorithmic concepts for enhancing the robustness and performance of traffic simulators, presenting promising results
Books on the topic "Complex and heterogeneous dynamic system"
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Voros, Nikolaos S., Alberto Rosti, and Michael Hübner, eds. Dynamic System Reconfiguration in Heterogeneous Platforms. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2427-5.
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Vittorio, D'Amato, and Maccheroni Carlo 1942-, eds. Dynamic analysis of complex systems. Milano, Italy: FrancoAngeli, 1990.
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Albers, Michael J. Communication of complex information: User goals and information needs for dynamic Web information. Mahwah, N.J: Lawrence Erlbaum Associates Pub., 2005.
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Peter, Entel, and Wolf Dietrich E, eds. International Symposium on Structure and Dynamics of Heterogeneous Systems: From atoms, molecules and clusters in complex environment to thin films and multilayers : Duisburg, Germany, 24-26 February 1999. Singapore: World Scientific, 2000.
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Lazareva, Marina. Dynamic stability of holdings. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1154382.
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The monograph attempts to rethink the theoretical and methodological approaches to building a management system for the dynamic stability of holdings. The author's view on the construction of such a system is justified, and a new combined model of dynamic stability management is proposed, which is based on the cost approach. The holding company is considered as a complex dynamic system. The conclusions are based on the author's empirical research. For practitioners, teachers, postgraduates and students, students of business schools.
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Tarakanov, Andrey, A. Sumin, and A. Hvostov. Mathematical problems of decision-making in dynamic organizational systems. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1871445.
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The monograph develops the theory of decision-making in dynamic organizational systems with a complex structure in conditions of conflict and uncertainty. An overview of the current state of the theory is given. The systems are studied: hierarchical, coalition and coalition-hierarchical (hybrid). The main attention in the process of constructing mathematical models of systems is paid to the description of ways of information interaction of decision makers. At the same time, the variants of their unfavorable (conflict) and benevolent "attitude" to each other are taken into account. Two approaches to decision-making based on the principle of guaranteed results and approaches of game theory are proposed. Exactly: 1) making decisions from the point of view of a dedicated participant in the system based on penalty functions and obtaining the necessary optimality conditions; 2) making decisions based on special optimality principles constructed using the principles of Nash, Pareto, Joffrion, Stackelberg, Slater, threats — counter-threats and obtaining sufficient optimality conditions. Some theoretical results are illustrated by model examples.
For researchers, postgraduates and students dealing with theoretical and practical issues of decision-making in complex systems.
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Berihanova, Rumisa, and Inessa Minenko. Complex non-drug correction of menopausal disorders in patients with metabolic syndrome. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1599004.
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The monograph is devoted to the complex non-drug correction of menopausal disorders in patients with metabolic syndrome in the period of menopausal transition. Modern ideas about menopausal and metabolic syndromes are presented, a review of modern approaches to their treatment is carried out.
A complex personalized system of non-drug correction of functional disorders in patients with metabolic syndrome and menopausal syndrome of mild and moderate severity in the period of menopausal transition is presented, including preformed therapeutic factors (vibrotherapy, chromotherapy, aeroionotherapy, musicotherapy (melotherapy), aromatherapy), physical therapy with pelvic floor muscle training, drinking balneotherapy, vitamins and minerals against the background of lifestyle modification.
The algorithm of dynamic clinical and laboratory examination of women with menopausal disorders of mild and moderate severity and metabolic syndrome in the period of menopausal transition has been developed, including a general clinical examination, assessment of alimentary, thyroid, psycho-emotional, gynecological, urological statuses, the state of the intestinal microbiota, the function of the hypothalamic-pituitary complex, biochemical blood profile, hemostasis, levels of markers of inflammation, assessment of the state of the musculoskeletal system, sexual function, allowing to get an idea of the state of mental and physical health of patients, evaluate the effectiveness of the complex of measures, optimize therapeutic tactics.
It is addressed to a wide range of readers interested in women's health. It can be useful for students, postgraduates, teachers of medical universities, obstetricians, gynecologists, endocrinologists, cardiologists, specialists of restorative medicine.
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Babina, Ol'ga. Theory, methodology and practice of regional strategic planning. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1738755.
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In the monograph, the region is presented as a complex, multilevel socio-economic system consisting of many heterogeneous, interacting economic entities of different levels (economic agents and markets, management, resources and economic processes), jointly organizing reproduction processes embedded in the economic space of the national economy on the local territory. Currently, the role of rational management of the socio-economic development of the region is increasing. In such conditions, it is advisable to use strategic planning, which, in turn, has increasingly been carried out using a simulation model. The simulation model in regional strategic planning allows government agencies to predict their activities in the presence of various controlled and uncontrolled factors of the external and internal environment. In this study, the list of principles of strategic planning focused on the processes of strategic planning of the region using the method of simulation modeling is supplemented. A methodology for organizing strategic planning processes at the meso-level using simulation modeling technology is proposed.
For a wide range of readers interested in the problems of regional strategic planning.
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Gruzdev, Vladimir, Sergey Suslov, Vladimir Kosinskiy, and Mariya Hrustaleva. Changes in the composition and structure of the components of the landscapes of the forest zone in the conditions of technogenesis. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1850657.
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The monograph is devoted to the analysis of changes in the structure of natural and agricultural landscapes under conditions of anthropogenic, including man-made, impact on landscapes. The author summarizes his own research conducted in the forest zone in the subzones of the middle and southern taiga and broad-leaved coniferous forests. The studies were carried out in forests, meadows and swamps, and also studied the formation of the quality of natural waters and the overgrowth of reservoirs in the forest zone. The composition and structure of zonal plant communities and the dynamic successional stages of secondary, derived communities formed in logging, burning, flooding by reservoirs, man-made pollution, as well as integrated anthropogenic impact are considered. Factors of technogenic transformation of landscapes are analyzed. The analysis of the complex of anthropogenic impacts has been carried out and the main trends of anthropogenic dynamics of soil and vegetation cover have been identified, recommendations for optimization and rationalization of nature management under anthropogenic impact are given. The issues of formation of geotechnical systems, their structure and issues of interaction in the system "man and nature" are considered.
It is of interest to ecologists, geographers, biologists. It can be used in the work of state bodies for monitoring the state of the environment and in the educational process — by teachers and students dealing with ecology, nature management, biology, environmental monitoring, territory engineering, as well as by researchers, graduate students and applicants.
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Ismailov, Nariman, Samira Nadzhafova, and Aygyun Gasymova. Bioecosystem complexes for the solution of environmental, industrial and social problems (on the example of Azerbaijan). ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043239.
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A key objective of the modern development of society is the observance of ecological and socio-economic unity in human life
and comprehensive improvement of environment and quality of life should be considered in close connection with the quality of the natural landscape. The formation of scientific understanding of the unity of society and nature is driven by the need for practical implementation of such unity. This defines the focus of this monograph. Given the overall assessment of the current state of the environment in Azerbaijan, considers the scenarios for the future development of the area. The prospects of the use of biotechnology in integrated environmental protection. In the framework of the above to address complex social, environmental and production problems in Azerbaijan developed scientific basis of integrated system of industrial farms — biclusters with a closed production cycle through effective utilization of regional biological resources,
whose interactions and relationships take on the character of vzaimodeistvie components for obtaining focused final result with high practical importance. Microbiological, biochemical
and technological processes are the basis of all development of biotechnology. Presents the development will help strengthen the ties between science and production, establishing mechanisms to conduct applied research in the field of innovation and creation of knowledge-based technologies in solving current and future environmental problems in Azerbaijan.
We offer innovative ideas distinguishes the potential need for their materialization into new products, technologies and services, including the widespread use of digital technologies to design dynamic digital environmental map in space and in time.
For students, scientific and engineering-technical workers, students and specializing in environmental technology, environmental protection.
Book chapters on the topic "Complex and heterogeneous dynamic system"
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Mimkes, J., M. Hillebrand, F. Fründ, Ch Denk, and G. Willis. "Interactions of Heterogeneous Agents in Stochastic Socio-economic Systems." In The Complex Dynamics of Economic Interaction, 379–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17045-4_22.
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Thoma, Florian, and Jürgen Becker. "Control of Dynamic Reconfiguration." In Dynamic System Reconfiguration in Heterogeneous Platforms, 129–37. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2427-5_11.
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Bader, Sebastian. "Agentification of Objects in Heterogeneous Dynamic Environments." In Multiagent System Technologies, 157–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24603-6_16.
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Meng, Lei, Tijana Milenković, and Aaron Striegel. "Systematic Dynamic and Heterogeneous Analysis of Rich Social Network Data." In Complex Networks V, 25–37. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05401-8_3.
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Censi, Federica, Giovanni Calcagnini, and Sergio Cerutti. "Dynamic Coupling Between Respiratory and Cardiovascular System." In Understanding Complex Systems, 195–212. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07155-8_6.
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Bonnot, Philippe, Alberto Rosti, Fabio Campi, Wolfram Putzke-Röming, Nikolaos S. Voros, Michael Hübner, and Hélène Gros. "Introduction." In Dynamic System Reconfiguration in Heterogeneous Platforms, 3–11. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2427-5_1.
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Bertels, Koen, Marcel Beemster, Vlad-Mihai Sima, Elena Moscu Panainte, and Marius Schoorel. "The Molen Organisation and Programming Paradigm." In Dynamic System Reconfiguration in Heterogeneous Platforms, 119–27. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2427-5_10.
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Grasset, Arnaud, Richard Taylor, Graham Stephen, Joachim Knäblein, and Axel Schneider. "Specification Tools for Spatial Design." In Dynamic System Reconfiguration in Heterogeneous Platforms, 139–64. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2427-5_12.
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Lagadec, Loic, Damien Picard, and Bernard Pottier. "Spatial Design." In Dynamic System Reconfiguration in Heterogeneous Platforms, 165–82. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2427-5_13.
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Sahlbach, Henning, Wolfram Putzke-Röming, Sean Whitty, and Rolf Ernst. "Real-Time Digital Film Processing." In Dynamic System Reconfiguration in Heterogeneous Platforms, 185–93. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2427-5_14.
Full textConference papers on the topic "Complex and heterogeneous dynamic system"
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Pasternak, Viktoriya, Artem Ruban, Yurii Horbachenko, and Sergii Vavreniuk. "Computer Modelling of the Process of Separation of Heterogeneous Elements (Spheres)." In International Scientific Applied Conference "Problems of Emergency Situations", 127–36. Switzerland: Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-5aamef.
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This scientific study considers the results of a computer experiment with heterogeneous elements (spheres) that proved to be of decisive importance during the separation process, namely their degree of activity, mobility and falling. It has been found that a detailed analysis of the Liapunov function indices allows to effectively understand and predict the dynamics of complex dynamical systems. The results obtained indicate significant changes in the physical and mechanical parameters of spherical balls under the influence of various factors and the environment. It was found that a certain accumulation of spheres occurs due to an increase in the time for simulation. It was also found that the key characteristics of the bulk mass of spherical elements significantly depend on the moulding process, surface condition and environmental conditions.
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Liang, Wenliang, Hao Lin, Haihua Shen, and Enbo Wang. "Orchestrating and Scheduling System for Workflows in Heterogeneous and Dynamic Environment." In IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/infocomwkshps61880.2024.10620801.
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Bogdanski, Marcin, Peter R. Lewis, Tobias Becker, and Xin Yao. "Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations." In 2011 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS). IEEE, 2011. http://dx.doi.org/10.1109/cisis.2011.81.
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Cheptsov, Alexey. "Dynamic Approach to Scheduling Reconfigurable Scientific Workflows in Heterogeneous HPC Environments." In 2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS). IEEE, 2016. http://dx.doi.org/10.1109/cisis.2016.146.
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Gastelum-Juarez, Daniel, Rosa Martha López-Gutiérrez, Adrian Arellano-Delgado, and César Cruz-Hernández. "Outer Synchronization and Formation of Two Complex Heterogeneous Robotic Networks with an Intermediary Dynamic System." In 2023 XXV Robotics Mexican Congress (COMRob). IEEE, 2023. http://dx.doi.org/10.1109/comrob60035.2023.10349740.
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Pritchett, Amy R., H. Claus Christmann, and Matthew S. Bigelow. "A simulation engine to predict multi-agent work in complex, dynamic, heterogeneous systems." In 2011 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2011). IEEE, 2011. http://dx.doi.org/10.1109/cogsima.2011.5753432.
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Oparin, Gennady, Alexander Feoktistov, Vera Bogdanova, and Ivan Sidorov. "Automation of multi-agent control for complex dynamic systems in heterogeneous computational network." In ICNPAA 2016 WORLD CONGRESS: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences. Author(s), 2017. http://dx.doi.org/10.1063/1.4972709.
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Andreev, A. Yu, A. V. Terentyev, R. O. Sudorgin, V. V. Filatov, and V. S. Ershov. "Development of a Heterogeneous Dynamic Transport System Based on the Bellman Function to Optimize the Process of Planning Automobile Routes." In 2023 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED). IEEE, 2023. http://dx.doi.org/10.1109/tirved58506.2023.10332680.
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Reid, Christopher J., Biswanath Samanta, and Christopher Kadlec. "Development of a Network Infrastructure for Heterogeneous Robot and Control Systems Interactions." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52464.
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The use of robots in complex tasks such as search and rescue operations is becoming more and more common. These robots often work independently with no cooperation with other robots or control software, and are very limited in their ability to perform dynamic tasks and interact with both humans and other robots. To this end, a system must be developed to facilitate the cooperation of heterogeneous robots to complete complex tasks. To model and study human-robot and robot-robot interactions in a multi-system environment, a robust network infrastructure must be implemented to support the broad nature of these studies. The work presented here details the creation of a cloud-based infrastructure designed to support the introduction and implementation of multiple heterogeneous robots to the environment utilizing the Robot Operating System (ROS). Implemented robots include both ground-based (e.g. Turtlebot) and air-based (e.g Parrot ARDrone2.0) systems. Additional hardware is also implemented, such as embedded vision systems, host computers to support virtual machines for software implementation, and machines with graphics processing units (GPUs) for additional computational resources. Control software for the robots is implemented in the system with complexities ranging from simple teleoperation to skeletal tracking and neural network simulators. A robust integration of multiple heterogeneous components, including both hardware and software, is achieved.
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Manzano, Wallace, Valdemar Vicente Graciano Neto, and Elisa Yumi Nakagawa. "Simulation of Systems-of-Systems Dynamic Architectures." In XI Congresso Brasileiro de Software: Teoria e Prática. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/cbsoft_estendido.2020.14632.
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Systems-of-Systems (SoS) combine heterogeneous, independent systems to offer complex functionalities for highly dynamic smart applications. Due to their critical nature, SoS should be reliable and work without interruption since a failure could cause serious losses. SoS architectural design can facilitate the prediction of the impact of failures due to SoS behavior. However, existing approaches do not support such evaluation. The main contribution of this paper is to present Dynamic-SoS, an approach to predict, at design time, the SoS architectural behavior at runtime to evaluate whether the SoS can sustain their operation. Results of our multiple case studies reveal Dynamic-SoS is a promising approach that could contribute to the quality of SoS by reliably enabling prior assessment of their dynamic architecture.
Reports on the topic "Complex and heterogeneous dynamic system"
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Perdigão, Rui A. P. Earth System Dynamic Intelligence - ESDI. Meteoceanics, April 2021. http://dx.doi.org/10.46337/esdi.210414.
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Earth System Dynamic Intelligence (ESDI) entails developing and making innovative use of emerging concepts and pathways in mathematical geophysics, Earth System Dynamics, and information technologies to sense, monitor, harness, analyze, model and fundamentally unveil dynamic understanding across the natural, social and technical geosciences, including the associated manifold multiscale multidomain processes, interactions and complexity, along with the associated predictability and uncertainty dynamics. The ESDI Flagship initiative ignites the development, discussion and cross-fertilization of novel theoretical insights, methodological developments and geophysical applications across interdisciplinary mathematical, geophysical and information technological approaches towards a cross-cutting, mathematically sound, physically consistent, socially conscious and operationally effective Earth System Dynamic Intelligence. Going beyond the well established stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid techniques, ESDI paves the way to exploratory and disruptive developments along emerging information physical intelligence pathways, and bridges fundamental and operational complex problem solving across frontier natural, social and technical geosciences. Overall, the ESDI Flagship breeds a nascent field and community where methodological ingenuity and natural process understanding come together to shed light onto fundamental theoretical aspects to build innovative methodologies, products and services to tackle real-world challenges facing our planet.
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Perdigão, Rui A. P., Julia Hall, and Kaya Schwemmlein. Polyadic Dynamic Nexus among Complex Socio-Environmental Systems: from Earth System Dynamics to Sustainable Development. Meteoceanics, August 2020. http://dx.doi.org/10.46337/200819.
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Perdigão, Rui A. P. Earth System Dynamic Intelligence with Quantum Technologies: Seeing the “Invisible”, Predicting the “Unpredictable” in a Critically Changing World. Meteoceanics, October 2021. http://dx.doi.org/10.46337/211028.
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We hereby embark on a frontier journey articulating two of our flagship programs – “Earth System Dynamic Intelligence” and “Quantum Information Technologies in the Earth Sciences” – to take the pulse of our planet and discern its manifold complexity in a critically changing world. Going beyond the traditional stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid approaches to information and complexity, the underlying fundamental science ignites disruptive developments empowering complex problem solving across frontier natural, social and technical geosciences. Taking aim at complex multiscale planetary problems, the roles of our flagships are put into evidence in different contexts, ranging from I) Interdisciplinary analytics, model design and dynamic prediction of hydro-climatic and broader geophysical criticalities and extremes across multiple spatiotemporal scales; to II) Sensing the pulse of our planet and detecting early warning signs of geophysical phenomena from Space with our Meteoceanics QITES Constellation, at the interface between our latest developments in non-linear dynamics and emerging quantum technologies.
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Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, November 2020. http://dx.doi.org/10.46337/201111.
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Causality and Predictability of Complex Systems pose fundamental challenges even under well-defined structural stochastic-dynamic conditions where the laws of motion and system symmetries are known. However, the edifice of complexity can be profoundly transformed by structural-functional coevolution and non-recurrent elusive mechanisms changing the very same invariants of motion that had been taken for granted. This leads to recurrence collapse and memory loss, precluding the ability of traditional stochastic-dynamic and information-theoretic metrics to provide reliable information about the non-recurrent emergence of fundamental new properties absent from the a priori kinematic geometric and statistical features. Unveiling causal mechanisms and eliciting system dynamic predictability under such challenging conditions is not only a fundamental problem in mathematical and statistical physics, but also one of critical importance to dynamic modelling, risk assessment and decision support e.g. regarding non-recurrent critical transitions and extreme events. In order to address these challenges, generalized metrics in non-ergodic information physics are hereby introduced for unveiling elusive dynamics, causality and predictability of complex dynamical systems undergoing far-from-equilibrium structural-functional coevolution. With these methodological developments at hand, hidden dynamic information is hereby brought out and explicitly quantified even beyond post-critical regime collapse, long after statistical information is lost. The added causal insights and operational predictive value are further highlighted by evaluating the new information metrics among statistically independent variables, where traditional techniques therefore find no information links. Notwithstanding the factorability of the distributions associated to the aforementioned independent variables, synergistic and redundant information are found to emerge from microphysical, event-scale codependencies in far-from-equilibrium nonlinear statistical mechanics. The findings are illustrated to shed light onto fundamental causal mechanisms and unveil elusive dynamic predictability of non-recurrent critical transitions and extreme events across multiscale hydro-climatic problems.
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Morkun, Vladimir S., Natalia V. Morkun, and Andrey V. Pikilnyak. Augmented reality as a tool for visualization of ultrasound propagation in heterogeneous media based on the k-space method. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3757.
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For programming the AR tools, interactive objects and creating the markers, the method of fiber spaces (k-space) for modeling of ultrasonic wave propagation in an inhomogeneous medium using coarse grids, with maintaining the required accuracy was used. The algorithm and tools of augmented reality were introduced into the adaptive control system of the pulp gas phase in the iron ore flotation process using a control action on the basis of high-energy ultrasound dynamic effects generated by ultrasonic phased arrays. The tools of augmented reality based on k-space methods allow to facilitate wider adoption of ultrasound technology and visualize the ultra-sound propagation in heterogeneous media by providing a specific correspondence between the ultrasound data acquired in real- time and a sufficiently detailed augmented 3D scene. The tools of augmented reality allow seeing the field of ultrasound propagation, its characteristics, as well as the effect of the dynamic effects of ultrasound on the change in the gas phase during the flotation process.
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Nechaev, V., Володимир Миколайович Соловйов, and A. Nagibas. Complex economic systems structural organization modelling. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1118.
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One of the well-known results of the theory of management is the fact, that multi-stage hierarchical organization of management is unstable. Hence, the ideas expressed in a number of works by Don Tapscott on advantages of network organization of businesses over vertically integrated ones is clear. While studying the basic tendencies of business organization in the conditions of globalization, computerization and internetization of the society and the results of the financial activities of the well-known companies, the authors arrive at the conclusion, that such companies, as IBM, Boeing, Mercedes-Benz and some others companies have not been engaged in their traditional business for a long time. Their partner networks performs this function instead of them. The companies themselves perform the function of system integrators. The Tapscott’s idea finds its confirmation within the framework of a new powerful direction of the development of the modern interdisciplinary science – the theory of the complex networks (CN) [2]. CN-s are multifractal objects, the loss of multifractality being the indicator of the system transition from more complex state into more simple state. We tested the multifractal properties of the data using the wavelet transform modulus maxima approach in order to analyze scaling properties of our company. Comparative analysis of the singularity spectrumf(®), namely, the difference between maximum and minimum values of ® (∆ = ®max ¡ ®min) shows that IBM company is considerably more fractal in comparison with Apple Computer. Really, for it the value of ∆ is equal to 0.3, while for the vertically integrated company Apple it only makes 0.06 – 5 times less. The comparison of other companies shows that this dependence is of general character. Taking into consideration the fact that network organization of business has become dominant in the last 5-10 years, we carried out research for the selected companies in the earliest possible period of time which was determined by the availability of data in the Internet, or by historically later beginning of stock trade of computer companies. A singularity spectrum of the first group of companies turned out to be considerably narrower, or shifted toward the smaller values of ® in the pre-network period. The latter means that dynamic series were antipersistant. That is, these companies‘ management was rigidly controlled while the impact of market mechanisms was minimized. In the second group of companies if even the situation did changed it did not change for the better. In addition, we discuss applications to the construction of portfolios of stock that have a stable ratio of risk to return.
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Patel, Reena. Complex network analysis for early detection of failure mechanisms in resilient bio-structures. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41042.
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Bio-structures owe their remarkable mechanical properties to their hierarchical geometrical arrangement as well as heterogeneous material properties. This dissertation presents an integrated, interdisciplinary approach that employs computational mechanics combined with flow network analysis to gain fundamental insights into the failure mechanisms of high performance, light-weight, structured composites by examining the stress flow patterns formed in the nascent stages of loading for the rostrum of the paddlefish. The data required for the flow network analysis was generated from the finite element analysis of the rostrum. The flow network was weighted based on the parameter of interest, which is stress in the current study. The changing kinematics of the structural system was provided as input to the algorithm that computes the minimum-cut of the flow network. The proposed approach was verified using two classical problems three- and four-point bending of a simply-supported concrete beam. The current study also addresses the methodology used to prepare data in an appropriate format for a seamless transition from finite element binary database files to the abstract mathematical domain needed for the network flow analysis. A robust, platform-independent procedure was developed that efficiently handles the large datasets produced by the finite element simulations. Results from computational mechanics using Abaqus and complex network analysis are presented.
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Perdigão, Rui A. P. New Horizons of Predictability in Complex Dynamical Systems: From Fundamental Physics to Climate and Society. Meteoceanics, October 2021. http://dx.doi.org/10.46337/211021.
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Discerning the dynamics of complex systems in a mathematically rigorous and physically consistent manner is as fascinating as intimidating of a challenge, stirring deeply and intrinsically with the most fundamental Physics, while at the same time percolating through the deepest meanders of quotidian life. The socio-natural coevolution in climate dynamics is an example of that, exhibiting a striking articulation between governing principles and free will, in a stochastic-dynamic resonance that goes way beyond a reductionist dichotomy between cosmos and chaos. Subjacent to the conceptual and operational interdisciplinarity of that challenge, lies the simple formal elegance of a lingua franca for communication with Nature. This emerges from the innermost mathematical core of the Physics of Coevolutionary Complex Systems, articulating the wealth of insights and flavours from frontier natural, social and technical sciences in a coherent, integrated manner. Communicating thus with Nature, we equip ourselves with formal tools to better appreciate and discern complexity, by deciphering a synergistic codex underlying its emergence and dynamics. Thereby opening new pathways to see the “invisible” and predict the “unpredictable” – including relative to emergent non-recurrent phenomena such as irreversible transformations and extreme geophysical events in a changing climate. Frontier advances will be shared pertaining a dynamic that translates not only the formal, aesthetical and functional beauty of the Physics of Coevolutionary Complex Systems, but also enables and capacitates the analysis, modelling and decision support in crucial matters for the environment and society. By taking our emerging Physics in an optic of operational empowerment, some of our pioneering advances will be addressed such as the intelligence system Earth System Dynamic Intelligence and the Meteoceanics QITES Constellation, at the interface between frontier non-linear dynamics and emerging quantum technologies, to take the pulse of our planet, including in the detection and early warning of extreme geophysical events from Space.
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Zanoni, Wladimir, Emily Díaz, Jorge Paredes, Leandro Gaston Andrian, and Juan Lorenzo Maldonado. Emerging Markets Bond Index Performance and Sovereign Default: The Case of Ecuador. Inter-American Development Bank, March 2024. http://dx.doi.org/10.18235/0005676.
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This paper delves into the dynamic impact of Ecuador's 2008 sovereign debt default on the subsequent performance of the country's bonds, specifically as measured by the Emerging Markets Bond Index (EMBI). Through a blend of qualitative and quantitative analyses, the paper develops a framework for understanding the interplay between macroeconomic and political fundamentals, global liquidity dynamics, and investor behaviors. Employing a synthetic control method, the study assesses the default's impact on Ecuadors EMBI performance, revealing a dynamically heterogeneous influence that fluctuates with evolving macroeconomic and political landscapes. The findings highlight the importance of considering a broad spectrum of economic variables in sovereign risk assessment, especially for economies with significant exposure to volatile commodity markets. The study offers insights into the complex dynamics governing sovereign bond markets post default, emphasizing the roles of fiscal discipline, investor communication, and political stability in mitigating sovereign risk.
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Lekhanya, Portia Keabetswe, and Kabelo Mokgalaboni. Exploring the effectiveness of vitamin B12 complex and alpha-lipoic acid as a treatment for diabetic neuropathy. Protocol for systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0167.
Full textAbstract:
Review question / Objective: Does Alpha-Lipoic acid increase the uptake of glucose for better glycaemic control? Does vitamin B12 and Alpha-Lipoic acid improve inflammation? The aim of the study is to explore the effectiveness of Vitamin B12 and Alpha-Lipoic Acid as a possible treatment for diabetic neuropathy with major emphasis on markers of inflammation and glucose metabolism. Condition being studied: Diabetic Neuropathy (DN) is a heterogeneous type of nerve damage associated with diabetes mellitus, the condition most often damages nerves in the legs and feet. It presents both clinically and sub-clinically affecting the peripheral nervous system as a result of an increase in glucose concentration which interferes with nerve signalling. After the discovery of insulin as a treatment for Diabetes Mellitus (DM), the prevalence of DN has since increased significantly due to DM patients having a longer life expectancy. It has been estimated that atleast 50% of DM patients will develop DN in their life, with approximately 20% of these patients experiencing neuropathic pain. Nerves are susceptible to changes in glucose concentrations and insulin makes it impossible for neurons to continue regulating glucose uptake.