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EN
Unmanned Aerial Vehicle (UAV) swarms are utilized in various missions and operated within an open environment that is prone to disruptions. The resilience of UAV swarms, an important requirement, mainly revolves around ensuring stable and uninterrupted operations. Malicious attacks can implement the adverse impacts of potential threats through swarm communication links. In this context, the SIS (Susceptible → Infected → Susceptible) method is suitable for describing the information transmission within UAV swarms. An enhanced resilience model of the UAV swarm is proposed in this study, which incorporates the factors of self-dynamics, dynamics of topology, dynamics of information transmission, and SIS into the complex network model. Self-dynamics refer to the internal dynamics of the drones. In this paper, dynamics of topology consist of three factors: the varying distance between drones, the incoming degrees of each drone, and the number of communication types between drones. Lastly, dynamics of information transmission are characterized by SIS. The model proposed in this paper has the capability to effectively capture changes in the network topology as well as the dynamics of the system, which are significant contributors to the loss of resilience. And then, the average number of susceptible drones is utilized as the metric to evaluate the resilience of the swarm. Furthermore, an experiment is conducted where a UAV swarm successfully carries out a surveillance mission to demonstrate the advantages of our proposed method. The proposed model not only enables the support of mission planning but also facilitates the design enhancements of UAV swarms.
EN
Project completion behind schedule is a struggle for the construction sector, affecting time, cost, and quality. This investigation has been necessitated by the lingering nature of project delay risks despite many extant analyses. This study collated expert opinions from the Thai construction sector on salient construction delay variables and their influence on each other for DEMATEL-SD analysis. The collated data were analysed and found consistent with a Cronbach’s alpha of 0.939. Then, the DEMATEL technique was used to establish the influence weight of factors for the System dynamics (SD) analysis. It was discovered that minimising the design error at the preconstruction stage significantly reduces the magnitude of delay. Increasing values of design error and change order increase the rework profile. Besides, the project delivery within the scheduled 232 weeks can be ensured by minimising the threat of design error, design change, change order, rework, productivity problem, and by improving project management. This study adopted a hybrid mathematical system to holistically examine the construction delay risk by comprehensively exploring the dynamics of influencing variables and investigating their impact on the project scheme. The system helps project stakeholders to arrive at an effective decision in overcoming delay risks, thus minimising the cost overrun and improving the project quality.
EN
Circular economy offers opportunities to boost jobs and tackle climate change. The article reflects aspects of the impact on the environment through sectoral policies to support the circular economy because current business as usual model, based on the linear economy principle leads to a staggering inefficiency in nature resources are managed, with increased pollution, loss of ecosystems and substantial losses of value with each product disposed. This requires a change not only in consumer behaviour but even more on the resource extraction and material production side. The purpose of the research paper is to develop a decision-making matrix providing a step-by-step approach for the policymakers.
EN
The paper describes a methodology of determining the toxicity sources, using bioassay based on the wildlife objects that change their colorimetric parameters under the influence of toxic factors. The work explores the dynamism of the colorimetric attributes associated with plant pigments. It can be determined by computer processing of the data obtained from digital remote sensing of the lands affected by toxic pollution by means of such relatively low-cost and straightforward methods as digital photography from an aircraft or a drone. The results obtained do not allow direct measurements but rather serve as a basis for the development and characterization of new biomarkers.
EN
Antarctic krill mainly inhabit the Antarctic Ocean, not far from Antarctica, especially the Weddell Sea, where krill is dense. Marine fisheries have reached new levels, but the topic of sustainable use of marine fishery resources is far from reaching the required levels. In order to study the sustainable development of the Antarctic krill environment, this paper studies the living environment and applicability of Antarctic krill based on system dynamics, and provides some references for the sustainable development of marine resources. Mentioned the use of case analysis method, literature analysis method and other methods to collect data, build a Model, and read and analyse a large number of related literatures through the literature survey method. The experimental results proved that the salinity has a significant effect on the survival rate of Antarctic krill (p < 0.05). When the salinity is 34, the molting frequency reaches its maximum value, which is 70 %. It is concluded that the ability of Antarctic krill to adapt to gradual changes in salinity is stronger than that of sudden changes in salinity, and the suitable salinity for survival is 30-42. With 34 as the basic salinity, when the salinity rises within a certain range, the molting rate of krill will increase, and as the salinity decreases, the molting rate will gradually decrease. This shows that improving the environmental resources of Antarctic krill is an effective method for improving salinity.
EN
With the rapid growth of flight volume, the contradiction between insufficient support capability of air traffic control (ATC) units and large demand for development ultimately hinders their sustainable and safe development. The article aims at the leverage point of the contradiction between supply and demand so as to provide scientific safety policies. Based on the system archetype "growth and underinvestment", from the perspective of the feedback relationships between support capability, safety, and development, the causality of the dynamic factors of control, communication, navigation, and surveillance, as well as meteorology and information subsystems was studied. Then, a system dynamics model for the sustainable and safe development of ATC units was established. Taking the Tianjin ATC sub-bureau as an example, policy suggestions for sustainable and safe development were put forward according to the scenario simulation results.
EN
Waste or additional costs in infrastructure projects such as jetty projects are often caused by rework. Besides having an impact on costs, rework is also a very significant contributor to waste or adding time which causes delays in the completion schedule of the project. A lot of research on rework has been carried out on both building and road construction projects, but there is no jetty construction project. This study aims to develop improvement scenarios to minimize the emergence of rework on pier infrastructure projects by modelling and simulating cost performance. The research variables were obtained based on the results of a literature study by asking for opinions from experts who are compatible in their scope. The initial model used the causal loop diagram form which was later developed into a Stock Flow Diagram, after which a repair simulation was carried out using the dynamic system method to determine the effect on cost performance. From the research results obtained 14 factors that affect the cost and time performance on the jetty project, the implementation of a dynamic system can provide the optimum solution with the ability to reduce the percentage of the number of reworks by 24.12% for 12 months.
PL
Stosowana w badaniu przepływów turbulentnych metoda termoanemometryczna polega na pomiarze wielkości fizycznych opisujących przepływ poprzez pomiar strat cieplnych miniaturowego nagrzanego elementu. Termoanemometr umożliwia pomiary przepływów szybkozmiennych w szerokim zakresie prędkości, przy dobrym stosunku sygnału do szumu. Pasmo przenoszenia sięga setek kiloherców, a zakres mierzonych prędkości od ułamków metra na sekundę do prędkości ponaddźwiękowych. W artykule przedstawiono koncepcję modyfikacji klasycznego mostkowego układu anemometru stałotemperaturowego z przeznaczeniem do badań w szerokim zakresie fluktuacji prędkości przepływu. Istotą zaproponowanej modyfikacji jest przede wszystkim ograniczenie szumów własnych układu przy zachowaniu bardzo dobrych parametrów dynamicznych. Układ przeznaczony jest do badań przepływów turbulentnych o szerokim spektrum częstotliwościowym fluktuacji prędkości.
EN
The hot-wire anemometric method used in the study of turbulent flows consists in measuring the physical quantities describing the flow by measuring thermal losses of a miniature heated element. The hot-wire anemometer enables measurements of fast-varying flows over a wide velocity range, with a good signal-to-noise ratio. The frequency response is of hundreds of kilohertz, and the measured velocity ranges is from centimeters per second to supersonic speeds. The article presents the concept of modification of the classic bridge of constant-temperature anemometer system intended for testing in a wide spectral range of flow velocity fluctuations. The essence of the proposed modification is, above all, to reduce the system’s own noise while maintaining very good dynamic parameters. The system is designed to study turbulent flows with a wide frequency spectrum of velocity fluctuations.
9
Content available remote Different dynamic formulations for a mechanism using Bond Graph
EN
For modeling dynamics of mechanisms, various classical formulations are available in theliterature. The equations of dynamics given by various classical formulations can also bederived from the bond graph. The bond graph is a convenient graphical representation formodeling dynamics of physical systems in multi-energy domains.In this paper, various alternative causality assignment procedures in the bond graphare used to derive different classical formulations such as the Lagrange’s equations of thefirst kind (withmultipliers), Lagrange’s formulation of the second kind, and Hamiltonianformulations. An example of the quick return mechanism has been modeled using the bondgraph technique, and various alternative causality assignment procedures are applied toderive the various formulations. Simulation coding has been done using MATLAB andresults have been analyzed and discussed. The purpose of this paper is to show how thevarious formulations can be obtained from bond graph using various alternative causalityassignment procedures.
10
EN
To harness the endless hydrokinetic energy of the Kuroshio current, the joint research team of the National Taiwan University and the National Taiwan Ocean University has developed a floating Kuroshio turbine (FKT) system in Taiwan. In normal operation, the system floats at a certain small depth from the ocean surface to reduce the wave effects and take advantage of faster current speeds. In the present study, the effect of the mooring line on the system dynamics is investigated computationally. Two different auxiliary mooring line designs and, for each design, three different common mooring lines (polyester ropes of neutral buoyancy, iron chains, and 6×19 wires ropes with wire core) are examined. The study makes use of several commercial and in-house packages, integrated to find various coefficients. It is found that the mooring line, the auxiliary mooring line design, and the gravity centre can have a significant effect on system fluctuations in normal operation if the combination of these factors is not properly matched.
EN
The article presents the most important information concerning computer modelling and simulation, system dynamics modelling, discrete event modelling and agent modelling. An exemplary model of the production process of windscreen wipers, which was created on the basis of assumptions, discussed the individual components of the model. An example of using JAVA code in AnyLogic program is presented and examples of indicators that can be calculated and presented in the form of a graph in the program are shown. Computer simulations enable tracking and analysis of the production process. They help to verify assumptions and detect irregularities in the modeled process. Simulation programs have a wide range of possibilities, allow you to create reports, charts, comparisons, allow you to optimize processes.
EN
The paper is an extension of the authors Kasperska E., Kasperski A., Bajon T. and Marjasz R. work (Kasperska et al., 2015) in the area of modeling and simulation of ecosystems on the base of "prey-predator" system dynamics model (presented on DSTA conference in 2015). The problem of connecting simulation with optimization is specially expanded to include both types of optimization - the policy optimization and the calibration. This new policy uses different set of parameters, model criteria and set of optimized parameters. The comparison between sensitivity analysis, optimization results and gaming outcome gives us a new view of learning process used by decision makers, model builders and students. We use the possibilities of visualization of simulation that are given by simulation language Vensim, and we try to apply calibration to detect the conditions, that stabilized that ecosystem and, what is quite new in the literature of this old, build the simulation game on base of that model to examine different scenarios of the human intervention in that ecosystem. At the end some conclusions are formulated.
PL
W artykule zaprezentowano wykorzystanie dynamiki systemów do analizy efektów wdrożenia technologii, których zakres oddziaływania wykracza poza bezpośrednie miejsce wdrożenia technologii. Istnieje szereg technologii, których efekty wdrożenia pojawiają się w obszarach, w których ich się pierwotnie nie spodziewano. Wykorzystanie dynamiki systemów pozwala zrozumieć mechanizmy powodujące pojawianie się tychże efektów. Przedstawiono przykład i omówiono wyniki symulacji dla modelu dyfuzji F. Bass’a dla technologii identyfikacji radiowej w polskich bibliotekach.
EN
Authors presented application of systems dynamics for an assessment of implementation of technology, which impacts extend direct point of application. There are many technologies, which implementation impacts areas, that were not initially assumed to be impacted. Application of systems dynamics enables better understanding of mechanisms driving such effects. An example of a simulation for the F.M. Bass diffusion model of radio frequency identification technology in Polish libraries was presented and discussed.
PL
Współczesny rozwój technologii informatycznych umożliwił prowadzenie operacji militarnych w cyberprzestrzeni z wykorzystaniem oprogramowania złośliwego. Okazuje się, że modele walki Lanchestera w połączeniu z modelami rozprzestrzeniania się kodu złośliwego można zastosować do ilościowego modelowania operacji kinetycznych wspartych operacjami propagacji kodu złośliwego w systemach przeciwnika. W pracy przedstawiono w ujęciu dynamiki systemowej dwa modele walki z użyciem kodu złośliwego oraz przykładowe wyniki ich symulacji. Modele w języku dynamiki systemowej bazują na klasycznym modelu dynamiki walki bezpośredniej Lanchestera oraz modelu propagacji kodu złośliwego w systemach komputerowych SAI (ang. susceptible, antidotal, infected).
EN
Modern information technologies have enabled to carry out military operations in cyberspace with using malware. It turns out that Lanchester combat models in conjunction with the models of malicious code propagation in IT systems can be used for quantitative modeling of kinetic operations supported by cyber operations with malware propagation in opposing forces’ IT systems. This paper presents in terms of system dynamics two combat models with using propagation of malware codes and the sample results of their simulation. The system dynamics combat models are based on the Lanchester classical direct fire combat model and SAI (susceptible, antidotal, infected) model of malicious code propagation in computer systems.
PL
Celem artykułu jest opracowanie koncepcji budowy modelu matematycznego do analizy skutków wdrożenia rynku mocy z wykorzystaniem podejścia dynamiki systemowej. Przedmiotem badań jest system paliwowo-energetyczny. W modelu konceptualnym uwzględnione zostały jego najważniejsze elementy oraz powiązania występujące na styku z innymi sektorami. Wybór metody dynamiki systemowej podyktowany został występowaniem w sektorze rzeczywistym zależności nieliniowych i sprzężeń zwrotnych oraz występowaniem opóźnień związanych z czasem uzyskania pozwoleń, budową nowych jednostek wytwórczych i oddaniem ich do eksploatacji.
EN
The purpose of this paper is to present a concept of mathematical model for analysing the effects of capacity market implementation using a system dynamics approach. The subject of research is the energy system. The conceptual model includes its elements and relationships between system variables and the environment. The method was selected due to the existence of non-linear relationships and interactive feedback loops in the analysed system as well as the occurrence of delays related to the time of obtaining building permits, the construction of new generating units and putting them into operation.
16
Content available remote A new approach to analysing non-linear electrical systems
EN
The Pareto principle has been applied in economic sciences with particular emphasis on the problems associated with optimal decision making. In this paper the Pareto principle is modified in order to study the dynamics of electrical systems described by a nonlinear equation of state. A multi-parameter system with the parameters constituting the elements of the analyzed system has been defined.
PL
Zasada Pareto znalazła zastosowanie głównie w dziedzinie nauk ekonomicznych, ze szczególnym uwzględnieniem problemów związanych z optymalizacją podejmowania decyzji. W tym artykule zasada Pareto została zmodyfikowana w celu zbadania dynamiki układów elektrycznych opisanych przez nieliniowe równania stanu. Zdefiniowano wielo-parametryczny układ elementów analizowanego układu elektrycznego.
17
Content available Systemowo-dynamiczna symulacja webowa
PL
Artykuł dotyczy problematyki symulacji webowej (ang. web-based simulation), a koncentruje się na metodzie symulacji ciągłej – dynamice systemowej (ang. System Dynamics). Podstawowym jego celem jest przegląd aplikacji webowych służących do symulacji i wizualizacji modeli systemowo-dynamicznych. Ponadto w artykule dokonano krótkiej charakterystyki wybranych rodzajów symulacji webowej oraz podsumowano jej zalety i wady.
EN
The article gives a short review of the area of Web-based simulation (WBS) in the context of System Dynamics (SD) simulation technique, exploring technology aspects of WBS, summarizing Web-based tools for SD and the advantages and disadvantages of Web-based simulation.
EN
Developing an effective business strategy ought to be based on the aspects of rationality, not only with the roots of present time, but also with the past and characteristics acquired in previous competitive episodes that may form the context for future ones. Thus, in analyzing the possibility of supporting decisionmaking process, one should take into account the essential properties of economic entities (objects), such as their complexity, dynamics and nonlinearity. Within this perspective, in order to model the dynamic behavior, system dynamics approach has been used in the work here reported. This technique complements the popular management approach of balance scorecard, providing the multidimensional view of an enterprise and expressing the interrelations among different processes in it.
EN
Identification tests of dynamic and transient processes which occur in a power system are usually based on simulation. Structures of systems used for simulation testing are built from simplified models of power system components. Practically, in order to verify results obtained by simulation, they would have to be compared to data obtained in actual facilities. Research carried out at Kraków University of Technology and contained in the proposed paper shows that simplifications and assumptions used when constructing simulation models often cause a discrepancy between the simulation results and actual variability of the system state. This research was carried out using a five-node laboratory model of a power system built earlier. A full parameter identification process was carried out for this model, thus enabling construction of its computerised equivalent using the Mat lab software suite. The laboratory model which was used as a foundation for the simulation equivalent is a five-node system with a closed structure; it consists of four generation-load nodes and one load only node. Parameters of the components of the laboratory model, like power lines or generator outputs, have been selected in a process of power scaling. Experiments currently performed on the model are aimed at investigating dynamic processes occurring during and after a short-circuit, and at testing procedures for estimating power distribution at a static condition as well as fault containment procedures which are currently under development.
PL
Badania identyfikacyjne procesów dynamicznych oraz przejściowych, zachodzących w systemie elektroenergetycznym, przeprowadzane są zazwyczaj na podstawie symulacji. Struktury systemów używanych do badań symulacyjnych są budowane z uproszczonych modeli elementów systemu elektroenergetycznego. W praktyce, aby uzyskać weryfikację wyników uzyskanych w symulacjach, należałoby porównać je z danymi uzyskanymi z rzeczywistych obiektów. Badania przeprowadzone na Politechnice Krakowskiej i zawarte w proponowanym artykule pokazują, że uproszczenia oraz założenia przyjmowane przy budowie modeli symulacyjnych powodują często niezgodność wyników symulacyjnych z rzeczywistymi przebiegami stanu systemu. Badań tych dokonywano przy użyciu skonstruowanego wcześniej rzeczywistego pięciowęzłowego modelu laboratoryjnego systemu elektroenergetycznego. Dla modelu tego przeprowadzono pełny proces identyfikacyjny parametrów, tak aby możliwa była budowa jego ekwiwalentu komputerowego przy użyciu oprogramowania Matlab. Model laboratoryjny, na którego podstawie zbudowano ekwiwalent symulacyjny, jest układem pięciowęzłowym o strukturze zamkniętej i składa się z czterech węzłów generacyjno-odbiorczych oraz jednego węzła odbiorczego. Parametry elementów tworzących model laboratoryjny, takich jak linie czy moce generatorów, zostały dobrane przy zastosowaniu skalowania mocowego. Doświadczenia przeprowadzane obecnie na modelu mają na celu badanie procesów dynamicznych zachodzących w trakcie i po zwarciu, jak również przetestowania obecnie opracowywanych procedur pozwalających oszacować rozpływ mocy w stanie statycznym oraz procedur lokalizacji zakłóceń.
PL
Celem referatu jest pokazanie znaczenia dynamiki systemowej w modelowaniu problemów o charakterze dynamicznym na szczeblu strategicznym państwa oraz wykorzystania jej elementów w procesie symulacji komputerowej. Ponadto zostanie krótko scharakteryzowane podejście systemowe, stosowane przy rozwiązywaniu problemów złożonych, a także przedstawione będą podstawowe założenia dynamiki systemowej. Dodatkowo przedstawiona będzie aplikacja Vensim PLE, jako przykład programu symulacyjnego o charakterze edukacyjnym, a także pokazany prosty model symulacyjny, zbudowany na podstawie tego pakietu, imitujący epidemię ptasiej grypy.
EN
The aim of the following paper is the presentation of the meaning of the system dynamics in modelling of the problems with dynamic features on the strategic level of the state as well as the use of its components in the process of computer simulation. Furthermore, the system approach used while solving complex problems together with basic assumptions of system dynamics are briefly described here. Additionally, Vension PLE application is presented as the example of the educational simulation program. Besides the simple simulation model, based on the mentioned program, imitating the epidemic of bird flu is provided in the papter.
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