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Статті в журналах з теми "A complex system approach"

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Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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1

Vrana, I., and J. Vrána. "Approach to comparing complex software implementation methods." Agricultural Economics (Zemědělská ekonomika) 51, No. 2 (February 20, 2012): 84–92. http://dx.doi.org/10.17221/5081-agricecon.

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Some of agriculture-food sector information systems are characterised by a high complexity and a large size. There are often many alternative solutions or technologies (implementation methods) and more then one possible way or approach to an information system design. Individual alternatives could considerably differ by their properties, e.g. costs of design of initial functionality, development and operational costs, run-time costs and technical parameters of the resulting information system (e.g. the access time). Unfortunately, existing metrics for quantification of this task usually do not deliver precise results but a rough estimate depending on many variable conditions. The paper will outline typical implementation methods and show approaches to assessment and comparison of certain types of properties of information systems for a computer support for management of large data systems, which use relational database. Authors presented part of these results also at the Agrarian Perspectives conference 2004 in the Applied Informatics session (Vrana I., Vrána J. 2004).

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2

Mirchandani, Chandru. "System Test Approach for Complex Software Systems." INSIGHT 24, no. 2 (July 2021): 32–37. http://dx.doi.org/10.1002/inst.12338.

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3

Fajkowska, M. "A Complex-System Approach to Personality." Personality and Individual Differences 60 (April 2014): S18. http://dx.doi.org/10.1016/j.paid.2013.07.380.

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4

Saheb, Faiza, and Mohamed Batouche . "A Multi-agents System Approach for Designing Complex Systems." Information Technology Journal 5, no. 6 (October 15, 2006): 1117–21. http://dx.doi.org/10.3923/itj.2006.1117.1121.

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5

Tsilipanos, Kosmas, Ioannis Neokosmidis, and Dimitris Varoutas. "Modeling Complex Telecom Investments: A System of Systems Approach." IEEE Transactions on Engineering Management 62, no. 4 (November 2015): 631–42. http://dx.doi.org/10.1109/tem.2015.2476840.

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6

Svyantek, Daniel J., and Linda L. Brown. "A Complex-Systems Approach to Organizations." Current Directions in Psychological Science 9, no. 2 (April 2000): 69–74. http://dx.doi.org/10.1111/1467-8721.00063.

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Анотація:

The physical sciences have developed new theories of nonlinear behavior of complex systems. Defining characteristics of complex systems include (a) being composed of many variables that interact strongly to determine system behavior, (b) sensitivity to initial conditions, and (c) stability across time. Two complex-system concepts, phase spaces and attractors, provide insight into the evolution of system behavior and make prediction of future behavior possible. It is proposed that complex-systems research has application to the study of organizations and social behavior. Organizational attractors exist and seem to be both sensitive to initial conditions and stable. The discussion of concepts from complex systems, and their application to organizations, provides insight into how organizational research should be conducted. If organizations are assumed to exhibit nonlinear behavior, more historical, longitudinal, and qualitative research methods should be used to provide context-specific descriptions of organizational behavior.

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7

LAUTERBORN, W., E. SCHMITZ, and A. JUDT. "EXPERIMENTAL APPROACH TO A COMPLEX ACOUSTIC SYSTEM." International Journal of Bifurcation and Chaos 03, no. 03 (June 1993): 635–42. http://dx.doi.org/10.1142/s0218127493000532.

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A liquid is subjected to sound of high intensity to generate a cloud of cavities or bubbles. The correlation between the sound output from the bubble cloud, which follows a subharmonic route to chaos with a low-dimensional strange attractor, and its spatial dynamics is investigated. Several approaches are used. In a light transmission experiment the light modulation resulting from the spatial dynamics gives an integrated measure similar to the acoustic output from a hydrophone. High speed photographic cinematography and, in particular, methods of high speed holographic cinematography are used and developed to capture the spatial dynamics of the three-dimensional bubble pattern, a filamentary structure resembling Lichtenberg figures. The series of three-dimensional images obtained via holography is digitized and analyzed via a transputer-based digital image processing system. First results show strong correlations among the behavior of individual bubbles and indicate a highly cooperative system. The method of high speed holographic cinematography developed together with a digital holographic image processing system will also be of use for the investigation of other complex space-time systems, for example, the Rayleigh-Bénard and Taylor-Couette systems, and is scheduled for fully three-dimensional turbulence studies.

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8

Twum, Stephen B., and Elaine Aspinwall. "Complex System Reliability Optimisation: A Multi-Criteria Approach." International Journal of Engineering Research in Africa 9 (May 2013): 13–21. http://dx.doi.org/10.4028/www.scientific.net/jera.9.13.

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The optimal allocation of reliability to the components of complex systems to maximise their reliability is posed as multi-criteria optimisation. The minimum cut-sets leading to series-parallel reduction of such systems were constituted into criteria and their reliability maximised while minimising cost of improving the systems reliability. Consequently, the system reliability expression is made redundant, which simplifies the problem. The resultant nonlinear optimisation model was solved by the Weighted Sum method for the Pareto optimal component reliability values. The model was applied to a life support system. The results show that higher components/ systems reliability can be achieved using the approach.

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9

Kolomietz, V. M., and S. V. Radionov. "Cranking approach for a complex quantum system." Journal of Mathematical Physics 51, no. 6 (June 2010): 062105. http://dx.doi.org/10.1063/1.3436579.

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10

Gama Dessavre, Dante, Jose E. Ramirez-Marquez, and Kash Barker. "Multidimensional approach to complex system resilience analysis." Reliability Engineering & System Safety 149 (May 2016): 34–43. http://dx.doi.org/10.1016/j.ress.2015.12.009.

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11

Gu, Jifa, and Xijin Tang. "Meta-synthesis approach to complex system modeling." European Journal of Operational Research 166, no. 3 (November 2005): 597–614. http://dx.doi.org/10.1016/j.ejor.2004.03.036.

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12

Matorin, S. I., and V. V. Mikhelev. "A System–Object Approach to Determinant Analysis of Complex Systems." Scientific and Technical Information Processing 48, no. 5 (December 2021): 327–32. http://dx.doi.org/10.3103/s014768822105004x.

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13

Karaev, Alan, Marina Melnichuk, Timur Guev, and Grzegorz Mentel. "Stability analysis of the banking system: a complex systems approach." Journal of International Studies 10, no. 3 (October 2017): 273–84. http://dx.doi.org/10.14254/2071-8330.2017/10-3/20.

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14

L., Berezko, and Sokolov S. "ALGORITHMIC APPROACH TO DESIGN NEW MEDICAL EQUIPMENT." Computer systems and network 2, no. 1 (March 23, 2017): 6–12. http://dx.doi.org/10.23939/csn2020.01.006.

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The article investigates the possibility of algorithmic design of complex electronic medical equipment. Such equipment is considered as an element of the biotechnical system, which is a separate variant of the cyber-physical system. A biotech system is a complex that includes a biological object, electronic medical equipment, and a potential user. The design of electronic medical equipment is complex and depends on the characteristics of the biotechnical system. Each new development requires an individual approach, but the analysis of possible generalized structures of biotechnical systems and features of their elements makes it possible to systematize the sequence of operations necessary for their creation and to propose a design algorithm that allows to obtain the desired result. An example of using an algorithmic approach in the design of electroimpedance medical equipment is considered. The obtained results can be used in the design of biotechnical systems for therapeutic purposes. Key words: cyberphysical systems, biotechnical systems, design.

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15

Guillerm, Romaric, Hamid Demmou, and Nabil Sadou. "Safety evaluation and management of complex systems: A system engineering approach." Concurrent Engineering 20, no. 2 (May 24, 2012): 149–59. http://dx.doi.org/10.1177/1063293x12446665.

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16

Jere Jakulin, Tadeja. "Systems Approach to Tourism: A Methodology for Defining Complex Tourism System." Organizacija 50, no. 3 (August 1, 2017): 208–15. http://dx.doi.org/10.1515/orga-2017-0015.

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Анотація:

Abstract Background and Purpose: The complexity of the tourism system, as well as modelling in a frame of system dynamics, will be discussed in this paper. The phaenomenon of tourism, which possesses the typical properties of global and local organisations, will be presented as an open complex system with all its elements, and an optimal methodology to explain the relations among them. The approach we want to present is due to its transparency an excellent tool for searching systems solutions and serves also as a strategic decision-making assessment. We will present systems complexity and develop three models of a complex tourism system: the first one will present tourism as an open complex system with its elements, which operate inside of a tourism market area. The elements of this system present subsystems, which relations and interdependencies will be explained with two models: causal-loop diagram and a simulation model in frame of systems dynamics. Design/methodology/approach: Systems methodology will be shown as the appropriate one, when we discuss complex systems challenges. For illustration, systems approach and systems methodology will be applied to tourism models. With building a qualitative causal-loop diagram we will describe the tourism system complexity in forms of system’s elements relations. Mutual influences among the elements will be presented with positive and negative loops, which forms circles of reinforcement and balance. This will help us to discuss the problem categorically. The final model will follow the causal-loop diagram. This will be a simulation model in a frame of system dynamics as an illustration of the discussed methodology. Results: The methodology offers the solution of effective and holistic promotion of complex tourism system transformation, which has the potential to go beyond the myth of sustainable tourism and create significant shifts in the approach and acting of the participants (elements of the system) involved. Systems approach brings to tourism and the society, in general, broader dimensions of thinking, the awareness interdependency, interconnectivity, and responsibility for the behaviour of a system, which can be observed by feedback loops. Conclusions: Findings about meaningfulness of systems thinking presented in the paper, are rarely presented to tourism society systemically and with the aim of designing sustainable complex tourism system. They show new approach, systems awareness and teaches thinking “out of the box”. Consequently, the sustainable behaviour is achieved: tourism supply and demand meet on responsible base and they connect to responsible stakeholders.

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17

Khan, Shahbaz, Luo Yufeng, and Aftab Ahmad. "Analysing complex behaviour of hydrological systems through a system dynamics approach." Environmental Modelling & Software 24, no. 12 (December 2009): 1363–72. http://dx.doi.org/10.1016/j.envsoft.2007.06.006.

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18

Krishnan, Rahul, and Shamsnaz Virani Bhada. "A Systems Approach towards Developing a Diagnostic System for Complex Robots." INCOSE International Symposium 28, no. 1 (July 2018): 1682–90. http://dx.doi.org/10.1002/j.2334-5837.2018.00576.x.

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19

Lewis, Wendy, Alison Brook, Scott Gregory, and Wendy Bell. "A city's system approach to complex needs provision." International Journal of Integrated Care 18, s2 (October 23, 2018): 299. http://dx.doi.org/10.5334/ijic.s2299.

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20

Martinas, Katalin. "Greatest Happiness Principle in a Complex System Approach." Interdisciplinary Description of Complex Systems 10, no. 2 (2012): 88–102. http://dx.doi.org/10.7906/indecs.10.2.5.

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21

Ge,, Ping, Stephen C. Y. Lu,, and Nanxin Wang,. "A Backward Mapping Approach For Complex System Design." Journal for Manufacturing Science and Production 3, no. 2-4 (December 2000): 49–56. http://dx.doi.org/10.1515/ijmsp.2000.3.2-4.49.

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22

Yu, Bo Yang, Tomonori Honda, Syed M. Zubair, Mostafa H. Sharqawy, and Maria C. Yang. "A maintenance-focused approach to complex system design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30, no. 3 (July 14, 2016): 263–76. http://dx.doi.org/10.1017/s089006041600024x.

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AbstractMaintenance plays a critical role in reducing operating cost and maximizing reliability of a complex engineering system. This paper proposes a novel maintenance-focused, system-level design framework that attempts to capture the interactions between maintenance strategies and system-level design parameters overlooked in current modeling approaches. The goal of this maintenance-focused approach is to help designers better understand the interconnectedness of system architecture, choice of maintenance strategy, and uncertainties in a design. Application of the proposed design framework is demonstrated through a case example of a power plant condenser system. Results show that using an integrated approach can reveal the many nonobvious interactions between subsystems, and produce system designs that have lower life-cycle cost compared to traditional sequential design approaches.

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23

Rebolledo, Rolando, Sergio A. Navarrete, Sonia Kéfi, Sergio Rojas, and Pablo A. Marquet. "An Open-System Approach to Complex Biological Networks." SIAM Journal on Applied Mathematics 79, no. 2 (January 2019): 619–40. http://dx.doi.org/10.1137/17m1153431.

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24

Mahmoud, H., P. Kabamba, A. G. Ulsoy, and G. Brusher. "Target Management in Complex System Design Using System Norms." Journal of Mechanical Design 127, no. 4 (August 23, 2004): 536–44. http://dx.doi.org/10.1115/1.1897404.

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The problem of setting, balancing, and determining priorities of design targets among the subsystems constituting an engineering system, i.e., managing the targets, is addressed. A new norm-based benchmarking approach is proposed to relate the system-level design objectives to subsystem design targets. The proposed approach provides a systematic means of setting and balancing subsystem design targets to deliver the desired system performance and ranks the priorities of the subsystem targets. Furthermore, the use of system norms, rather than output signal norms, to quantify system and subsystem performance reduces the number of design targets in multi-input multi-output (MIMO) systems. The approach is illustrated on a vehicle example, consisting of a frame, body, and body mounts as the subsystems.

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25

Akundi, Aditya, and Eric Smith. "Quantitative Characterization of Complex Systems—An Information Theoretic Approach." Applied System Innovation 4, no. 4 (December 6, 2021): 99. http://dx.doi.org/10.3390/asi4040099.

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A significant increase in System-of-Systems (SoS) is currently observed in the social and technical domains. As a result of the increasing number of constituent system components, Systems of Systems are becoming larger and more complex. Recent research efforts have highlighted the importance of identifying innovative statistical and theoretical approaches for analyzing complex systems to better understand how they work. This paper portrays the use of an agnostic two-stage examination structure for complex systems aimed towards developing an information theory-based approach to analyze complex technical and socio-technical systems. Towards the goal of characterizing system complexity with information entropy, work was carried out in exploring the potential application of entropy to a simulated case study to illustrate its applicability and to establish the use of information theory within the broad horizon of complex systems. Although previous efforts have been made to use entropy for understanding complexity, this paper provides a basic foundation for identifying a framework to characterize complexity, in order to analyze and assess complex systems in different operational domains.

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26

Gordin, M. V., G. S. Ivanova, A. V. Proletarsky, and M. V. Fetisov. "Adaptive Approach to Implementation of Complex Simulation Systems." Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, no. 3 (140) (September 2022): 18–33. http://dx.doi.org/10.18698/0236-3933-2022-3-18-33.

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The paper presents an approach potentially capable of implementing efficient import substitution in the field of modern software systems for simulating and designing manufacturing processes in various industries, as well as of compensating for the destruction of international connections that made it possible to build efficient labor division structures for developing modern software systems. To solve these problems, we propose to implement an adaptive simulation system than can adjust to different domains by means of considerable automation concerning development of domain-specific programming languages describing models in the relevant subject areas. We also propose to split development into the following competence and responsibility zones: developing an extensible core for the adaptive simulation system and shared language and visual (graphic) components; developing domain-specific extensions, which may include both language and visual (graphic) components; populating a specific extension with a database of industry standards; developing a manufacturing model specifically. Using a shared platform represented by the adaptive simulation system allows for reusing extensions from different domains so as to form complex simulations, resulting in possible technological breakthroughs at the juxtaposition of various industries. The paper also briefly describes certain risks associated with the implementation and maintenance of complex simulation systems in the Russian Federation. We consider alternatives to the solutions proposed

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27

Deghedi, Ghada Ahmed. "Understanding Games Through Complexity Thinking Approach." International Journal of Gaming and Computer-Mediated Simulations 10, no. 3 (July 2018): 41–56. http://dx.doi.org/10.4018/ijgcms.2018070103.

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The complexity theory and the concept of emergence is a theoretical framework that offers a vocabulary and tool for analyzing games as systems. Rather than dealing with a game as one complex adaptive system, this article uses the complexity thinking approach to study a game as a complex system composed of different levels of subsystems. Each level can be considered a complex system in itself; moreover, the interaction between a game's subsystems creates complex, dynamic, and often unpredictable behavior. For a detailed understanding of a game system and how complex it is, this article focuses on the concepts of complexity and emergence at three levels of a game system: the design level, play level and metagame level. This explanation is meant to guide game designers in incorporating the various emergent consequences of game play from the beginning of the design process.

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28

Oughton, Edward J., Will Usher, Peter Tyler, and Jim W. Hall. "Infrastructure as a Complex Adaptive System." Complexity 2018 (November 4, 2018): 1–11. http://dx.doi.org/10.1155/2018/3427826.

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National infrastructure systems spanning energy, transport, digital, waste, and water are well recognised as complex and interdependent. While some policy makers have been keen to adopt the narrative of complexity, the application of complexity-based methods in public policy decision-making has been restricted by the lack of innovation in associated methodologies and tools. In this paper we firstly evaluate the application of complex adaptive systems theory to infrastructure systems, comparing and contrasting this approach with traditional systems theory. We secondly identify five key theoretical properties of complex adaptive systems including adaptive agents, diverse agents, dynamics, irreversibility, and emergence, which are exhibited across three hierarchical levels ranging from agents, to networks, to systems. With these properties in mind, we then present a case study on the development of a system-of-systems modelling approach based on complex adaptive systems theory capable of modelling an emergent national infrastructure system, driven by agent-level decisions with explicitly modelled interdependencies between energy, transport, digital, waste, and water. Indeed, the novel contribution of the paper is the articulation of the case study describing a decade of research which applies complex adaptive systems properties to the development of a national infrastructure system-of-systems model. This approach has been used by the UK National Infrastructure Commission to produce a National Infrastructure Assessment which is capable of coordinating infrastructure policy across a historically fragmented governance landscape spanning eight government departments. The application will continue to be pertinent moving forward due to the continuing complexity of interdependent infrastructure systems, particularly the challenges of increased electrification and the proliferation of the Internet of Things.

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29

Uprichard, Emma, and David Byrne. "Representing Complex Places: A Narrative Approach." Environment and Planning A: Economy and Space 38, no. 4 (April 2006): 665–76. http://dx.doi.org/10.1068/a37333.

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The authors argue that narratives—the plural being very important—are crucial for the representation of complex urban spaces. They do this by drawing on first-hand empirical examples from a previous examination of people's understanding of ‘postindustrial transformation’ from the past through the present to the future, and earlier work on children's understanding of their own places in the present and the future. In so doing, they propose that the use of narratives must be part of the repertoire of approaches used to represent complex urban systems. This does not imply an abandonment of interest in or search for causal generative mechanisms in system change. Rather, it is a recognition that narratives enable human actors to express the meaning that underlies their own agency as part of their account of the trajectories of places.

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30

Velázquez-Velázquez, Juan-Eduardo, Rosalba Galván-Guerra, Ieroham Baruch, and Silvestre Garcia-Sanchez. "Recurrent Trainable Neural Networks for Complex Systems Identification: A Hybrid System Approach." Research in Computing Science 118, no. 1 (December 31, 2016): 97–106. http://dx.doi.org/10.13053/rcs-118-1-9.

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31

Ligeza, A. "An Expert System Approach to Analysis and Control in Certain Complex Systems." IFAC Proceedings Volumes 20, no. 9 (August 1987): 487–92. http://dx.doi.org/10.1016/s1474-6670(17)55754-7.

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32

Mokhov, A. I., and R. V. Dushkin. "Functional approach to object intellectualization based on complex engineering." E-Management 3, no. 4 (March 16, 2021): 13–25. http://dx.doi.org/10.26425/2658-3445-2020-3-4-13-25.

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Анотація:

The article presents the authors` position on the development and application of a functional approach to the design and development of intelligent control systems for technical objects of various nature (cyberphysical systems) based on the principles of complex engineering. Complex engineering and a functional approach can, for example, be used together to manage such complex technical objects as intelligent buildings, which in the future allows us to transfer their functioning to a higher level of efficiency not only of the management object itself, but also of the hierarchy of its super – systems from the municipality and the region to the state as a whole. However, the system approach can also be applied in conjunction with complex engineering, which allows us, at least partially, to smooth out certain shortcomings of the functional approach, which are manifested when it is applied exclusively within the framework of system engineering when considering aspects of managing cyber-physical systems with a high degree of intelligence based on the system approach.The authors clearly show the techniques and methods of this set of complex engineering, functional and system approaches in the proposed article using infographic models. Complex engineering allows you to solve the problem of transferring the control object to a connected intellectualized control complex, which, in turn, increases the level of its intelligence. At the same time, the authors use an interdisciplinary approach, since it is the most effective one when considering complex cyberphysical systems. Complex engineering initially includes an interdisciplinary approach, which allows us to apply it to the analysis and study of cyberphysical systems with the subsequent application of already a functional approach to solving problems of intellectualization. According to the authors, this will allow us to reach new frontiers in the field of creating “smart” systems for managing technological and managerial processes in various branches of human economic activity.

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33

Jia, Dong Yao, Xiao Hui Liu, Shun Tian Feng, and Kai Yu Zhou. "Multi-Level Indicators Reduction Approach for Complex Index System." Applied Mechanics and Materials 548-549 (April 2014): 1249–56. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.1249.

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Анотація:

The reduction of the index system at home and abroad mainly starts from the basic statistics and soft computing theory, but these methods are not always effective for complex index system. In this paper, a new multi-level indicators reduction model based on complex index system has been proposed through in-depth analysis of the multi-level environment and growth factors which affecting crop growth. First, exception handling model was introduced to determine indicators abnormalities or not in this method, then make a preliminary reduction in indicators of index layer from the point of multi-level statistical; Second, through clustering reduction model, and a further perfection of the index system is discussed; Finally, the optimal reduction index system of crop growth evaluation is proposed. The experiment results show that it can get the optimal reduction index system of crop growth evaluation by this method, and the optimal index system can cover 90% of the index system.

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34

Amor, Soufian Ben, and Marc Bui. "A COMPLEX SYSTEM APPROACH IN MODELING AIRSPACE CONGESTION DYNAMICS." Journal of Air Transport Studies 3, no. 1 (January 1, 2012): 39–56. http://dx.doi.org/10.38008/jats.v3i1.95.

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Анотація:

The dynamical behaviour of groups of airspace sectors, e.g. Functional Airspace Blocks, is not trivial to be analysed without appropriate theoretical tools. In this paper, we suggest a discrete model based on cellular automata and multi agent systems to express the congestion dynamics and complexity in the controlled airspace. Discrete time simulations have been performed with random selected scenarios of traffic and with independent sector parameters to investigate the impact of availability of local sectors on the whole state of the airspace. Obtained results show the existence of a traffic threshold that leads to a theoretical saturation of airspace. The test scenario showed a phase transition phenomenon towards the congestion of the European airspace at the resulting traffic threshold circa 50 000 flights. Validation using real data shows the predictive abilities of the model.

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35

Chen, Zhi Yuan, Shao Bin Huang, and Li Li Han. "A Fast Approach of Locating Complex System Design Errors." Key Engineering Materials 572 (September 2013): 115–18. http://dx.doi.org/10.4028/www.scientific.net/kem.572.115.

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Model checking technique can give a specific counterexample which explains how the system violates some assertion when model does not satisfy the specification. However, it is a tedious work to understand the long counterexamples. We propose a genetic algorithm to enhance the efficiency of understanding long counterexample by computing the minimal unsatisfiable subformula. Besides, we also propose a Craig interpolation computation-based method to understand counterexample. The causes which are responsible for model failure are extracted by deriving interpolation from the proof of the nonsatisfiability of the initial state and the weakest precondition of counterexample. Experimental results show that our methods improve the efficiency of understanding counterexamples and debugging significantly.

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36

Yang, Libo, and Ning Yang. "An Integrated Event Summarization Approach for Complex System Management." IEEE Transactions on Network and Service Management 16, no. 2 (June 2019): 550–62. http://dx.doi.org/10.1109/tnsm.2019.2906191.

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Karakose, Mehmet, and Orhan Yaman. "Complex Fuzzy System Based Predictive Maintenance Approach in Railways." IEEE Transactions on Industrial Informatics 16, no. 9 (September 2020): 6023–32. http://dx.doi.org/10.1109/tii.2020.2973231.

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Fajkowska, Małgorzata. "The Complex-System Approach to Personality: Main theoretical assumptions." Journal of Research in Personality 56 (June 2015): 15–32. http://dx.doi.org/10.1016/j.jrp.2014.09.003.

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39

Ziębik, A., K. Hoinka, and M. Kolokotroni. "System approach to the energy analysis of complex buildings." Energy and Buildings 37, no. 9 (September 2005): 930–38. http://dx.doi.org/10.1016/j.enbuild.2004.11.010.

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40

Cheng, Kuo-Hsiang. "CMAC-based neuro-fuzzy approach for complex system modeling." Neurocomputing 72, no. 7-9 (March 2009): 1763–74. http://dx.doi.org/10.1016/j.neucom.2008.08.011.

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41

Da, Gaofeng, Ping Shing Chan, and Maochao Xu. "On the signature of complex system: A decomposed approach." European Journal of Operational Research 265, no. 3 (March 2018): 1115–23. http://dx.doi.org/10.1016/j.ejor.2017.08.052.

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42

Damasceno, Benito Pereira. "Time Perception as a Complex Functional System: Neuropsychological Approach." International Journal of Neuroscience 85, no. 3-4 (January 1996): 237–62. http://dx.doi.org/10.3109/00207459608986686.

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43

DOGUC, Ozge, and Jose Emmanuel RAMIREZ-MARQUEZ. "3.2.2 A Bayesian Approach for Estimating Complex System Reliability." INCOSE International Symposium 19, no. 1 (July 2009): 436–46. http://dx.doi.org/10.1002/j.2334-5837.2009.tb00958.x.

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44

Gaydamaka, K. "Archimate-Based Approach to Requirements Engineering." International Journal of Mathematical, Engineering and Management Sciences 4, no. 4 (August 1, 2019): 841–50. http://dx.doi.org/10.33889/ijmems.2019.4.4-066.

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Анотація:

Requirements engineering represents the most crucial stage in the complex systems development process. Contemporary methods of requirements engineering assume a wide application of models (described, for example, with such languages as SysML or OPM), which allows to ensure the consistency and completeness of the system descriptions. The article assesses the applicability of the Archimate language to support the process of requirements engineering when creating complex technical systems. Requirements engineering method for complex technical systems, suitable for models described by the Archimate language is proposed. Detailed example demonstrating the proposed method when developing system requirements is given. The limitations of the Archimate language applicability for the engineering of systems of various classes are described.

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Kusumawardhana, Indra. "Understanding The Dynamic of International System Through The Lens of Complex System Approach." Jurnal Hubungan Internasional 10, no. 1 (September 28, 2017): 90. http://dx.doi.org/10.20473/jhi.v10i1.5115.

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The International Relations Study has undergone many changes in its dynamics,especially in view of the dynamic conditions of world politics. It directly influences the development of the IR study. This paper discusses how the theory of complex systems explain the dynamics of the international system after the end of the Cold War. Through the theory, the author seeks to see the changes that occur in interstate interaction, especially in the framework of thinking about the interests of each country. Interaction between countries then encourage the existence of different systems between one another, depending on how the country chooses interaction groups. The author also seeks the inter-state interaction that formed into an international system can be studied from the transition process to change the direction of interaction to see how the true international system is formed through the views of the theory of complex systems.

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46

Ma'ayan, Avi. "Complex systems biology." Journal of The Royal Society Interface 14, no. 134 (September 2017): 20170391. http://dx.doi.org/10.1098/rsif.2017.0391.

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Complex systems theory is concerned with identifying and characterizing common design elements that are observed across diverse natural, technological and social complex systems. Systems biology, a more holistic approach to study molecules and cells in biology, has advanced rapidly in the past two decades. However, not much appreciation has been granted to the realization that the human cell is an exemplary complex system. Here, I outline general design principles identified in many complex systems, and then describe the human cell as a prototypical complex system. Considering concepts of complex systems theory in systems biology can illuminate our overall understanding of normal cell physiology and the alterations that lead to human disease.

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Bila, Jiri, Ali H. Reshak, and Jan Chysky. "Modeling Complex Systems by Structural Invariants Approach." Complexity 2021 (September 4, 2021): 1–17. http://dx.doi.org/10.1155/2021/6650619.

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Анотація:

When modeling complex systems, we usually encounter the following difficulties: partiality, large amount of data, and uncertainty of conclusions. It can be said that none of the known approaches solves these difficulties perfectly, especially in cases where we expect emergences in the complex system. The most common is the physical approach, sometimes reinforced by statistical procedures. The physical approach to modeling leads to a complicated description of phenomena associated with a relatively simple geometry. If we assume emergences in the complex system, the physical approach is not appropriate at all. In this article, we apply the approach of structural invariants, which has the opposite properties: a simple description of phenomena associated with a more complicated geometry (in our case pregeometry). It does not require as much data and the calculations are simple. The price paid for the apparent simplicity is a qualitative interpretation of the results, which carries a special type of uncertainty. Attention is mainly focused (in this article) on the invariant matroid and bases of matroid (M, BM) in combination with the Ramsey graph theory. In addition, this article introduces a calculus that describes the emergent phenomenon using two quantities—the power of the emergent phenomenon and the complexity of the structure that is associated with this phenomenon. The developed method is used in the paper for modeling and detecting emergent situations in cases of water floods, traffic jams, and phase transition in chemistry.

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Kwapień, Jarosław, and Stanisław Drożdż. "Physical approach to complex systems." Physics Reports 515, no. 3-4 (June 2012): 115–226. http://dx.doi.org/10.1016/j.physrep.2012.01.007.

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Starostin, Igor, Sergey Khalyutin, Victoria Pavlova, and Elena Punt. "Distributed computing system for creating digital portraits of complex systems." MATEC Web of Conferences 341 (2021): 00046. http://dx.doi.org/10.1051/matecconf/202134100046.

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Анотація:

Various methods of operation of complex transport systems imply knowledge of mathematical models of their components. To obtain adequate models of such components, it is necessary to take into account the physical and chemical processes occurring in them. Previously, the authors developed a potential-flow method within the framework of modern nonequilibrium thermodynamics – a unified approach to the analysis and modeling of processes of various physical and chemical nature. In accordance with this approach, as well as with the methods of mechanics, the theory of electric and magnetic circuits, electrodynamics, etc., state functions for the properties of substances and the processes under consideration are set up to the experimentally studied constant coefficients. The system of equations of the considered processes dynamics is obtained from the given state functions. The desired model (digital portrait) of the considered component is constructed by numerical-analytical transformation of the dynamic equations system based on the use of experimental data. The need to automate the proposed method of obtaining digital portraits is due to its complexity and the need to process a large amount of data. An information and computing system is proposed, which implies the construction of a block diagram of the processes in the component under consideration (model-oriented approach). Modeling these processes using a block diagram at different values of unknown parameters allows us to approximate the model (digital portrait) a component based on the resulting set of output characteristic dynamics using machine learning libraries. Process modeling and further approximation of the model is parallelized. This paper is devoted to a distributed information-computing system that implements the creation of various complex systems digital portraits.

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Hajji, Nadia, Saber Maraoui, Larbi Chrifi-Alaoui, and Kais Bouzrara. "Nonlinear distributed model predictive control for complex systems: application for hydraulic system." Transactions of the Institute of Measurement and Control 41, no. 10 (November 22, 2018): 2751–63. http://dx.doi.org/10.1177/0142331218808340.

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In this paper, a nonlinear distributed model predictive control based on dual decomposition approach is proposed for complex system. The global system can be decomposed into several subsystems and each one will be managed by its own controller. To design the nonlinear predictive control in a distributed fashion, an analytical solution is proposed. The latter is based on the approximation of the error using its expansion of Taylor series. The proposed approach is implemented on the three tank system to control the water levels. Simulation results demonstrate the effectiveness of the proposed approach.

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