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EN
Water quality is an essential component in effective water management, specifically in the reservoir planning. Therefore, this study aimed to determine the water quality of the Malang Suko Reservoir, Malang Regency, Indonesia, by examining temperature, pH, dissolved oxygen (DO), chemical oxygen demand (COD), and biochemical oxygen demand (BOD5). To achieve this goal, the dynamic system approach for reservoir management was employed, and the software used for water quality modelling was the System Thinking Educational Learning Laboratory with Animation (Stella). The analysis considered several contributing factors, such as settlements, agriculture, and temperature. The results showed that the water quality status of the Malang Suko Reservoir was moderately polluted. The dynamic subsystem simulation had a high level of accuracy with a mean absolute percentage error of 1.1% and 0% for the settlement and agricultural submodels, respectively. Therefore, several scenarios for managing the inflow of waste into the reservoir were suggested, with the role of the community being the most crucial.
EN
Lead (Pb) is a non-essential heavy metal found as an inorganic pollutant in the water, sediment, and mangrove plant tissue in Wonorejo River Estuary. Several studies showed that its concentration exceeds the quality standard stipulated in the Indonesian Government Regulation Number 22 of 2021 and the EPA sediment quality. Moreover, the phytoremediation of Pb through mangroves Avicennia alba, Rhizophora stylosa, Sonneratia caseolaris, and Avicennia marina at Wonorejo River Estuary was investigated. It was discovered that the environmental factors such as temperature, pH, and salinity as well as bioconcentration factor (BCF) and translocation factor (TF) values are different for each species. The dynamics of the Pb phytoremediation system were also modeled using Vensim PLE x64 software to determine the effect of environmental factors such as temperature, pH, salinity, BOD and COD, as well as Pb concentration on the ability of mangroves to accumulate and translocate Pb. The results showed that a behavioral mechanism pattern was formed based on the relationship between the environmental factors, Pb concentration, and the phytoremediation ability of the mangroves with time. This pattern affected the root and leaf BCF values of each mangrove. Furthermore, the validation test showed that the model is structurally valid and has MAPE values for the Pb phytoremediation model with S. caseolaris and R. stylosa having <30% while Avicennia marina and A. alba had <50%. Therefore, the model was categorized as fairly good with a valid forecast. The system dynamics predicted that the highest concentrations of Pb in water, roots, and stems in 2041 were in R. stylose at 1,329,110 mg/L, 2,054,110 mg/kg, and 3,393,950 mg/kg, respectively. The highest accumulation value in plant tissue was dominated by mangrove species of R. stylose. In conclusion, the environmental parameter values at habitat of R. stylose were in good condition for the growth of the mangroves compared with other species of mangrove.
EN
A microgrid is an appropriate concept for urban areas with high penetration of renewable power generation, which improves the reliability and efficiency of the distribution network at the consumer premises to meet various loads such as domestic, industrial, and agricultural types. Microgrids comprising inverter-based and synchronous generator-based distribution generators can lead to the instability of the system during the islanded mode of operation. This paper presents a study on designing stable microgrids to facilitate higher penetration of solar power generation into a distribution network. A generalized small signal model is derived for a microgrid with static loads, dynamic loads, energy storages, solar photovoltaic (PV) systems, and diesel generators, incorporating the features of dynamic systems. The model is validated by comparing the transient curves given by the model and a transient simulator subjected to step changes. The result shows that full dynamic models of complex systems of microgrids can be built accurately, and the proposed microgrid is stable for all the considered loading situations and solar PV penetration levels according to the small signal stability analysis.
EN
Welding production lines are indispensable parts of the production processes in the automotive industry. In many cases, the production line operation is ensured by equipment with linear conveyors or robots, wherein linear guiding systems are basic elements of these manipulators. The failure of some linear guiding system may lead to significant production losses. Hence, the knowledge of their operating loads is necessary to determine very exactly. The objective of this article is to identify and verify the basic dynamic parameters of the welding manipulator, as a starting point for the operating loads calculation of linear guiding systems. This issue was solved by combining the measurement of kinematic values and MBS (Multi-body System) analysis in case of the concrete linear welding manipulator, which was the main part of the observed welding line. We have measured time values of acceleration in defined points of the manipulator and evaluated them by FIR (Finite Impulse Response) filter, FFT (Fast Fourier Transformation) analysis and ODS (Operating Deflection Shapes) analysis. The obtained frequency spectrum showed oscillation frequencies, which could be compared with frequencies of the manipulator dynamical model by different mass and stiffness parameters. In this way, the dynamic parameters of the welding manipulator can be identified and used for the next calculations and simulations, where loads of linear guiding systems will produce very important results.
EN
Microfinance Institutions (MFIs) are a mainstay in developing countries to overcome poverty problems through Small and Medium-sized Enterprises (SMEs) funding. The various studies that have been done are still very limited on sustainable SMEs funding due to SMEs various obstacles. Microfinance Institutions are the most compatible institutions to fund SMEs because they have complementary characteristics. This study aims to build a sustainable SMEs financing model to develop SMEs and MFIs. The dynamic system is used as a data analysis tool, involving three main actors in the behavior model, namely Third Parties as Funders (TPF), MFIs and SMEs with the data year 2018 scenario. Sensitivity and optimization of SMEs funding policies show that several prerequisites must be met for SMEs financing to be optimal: a) A stable level of Financing to Deposit Ratio (FDR) and sufficient investment capital to make a sustainable circulation of funds. The FDR must be kept above the 60% minimum range. b). The Non-Performing Financing (NPF) level must be maintained at a maximum of 5 percent; FDR must be above 60% to convert savings into financing to be eight months; The share of financing for SMEs is increased by 80 percent.
PL
Instytucje mikrofinansowe (MIF) są w krajach rozwijających się podstawą przezwyciężania problemów ubóstwa dzięki finansowaniu małych i średnich przedsiębiorstw (MŚP). Różne przeprowadzone badania są nadal bardzo ograniczone w zakresie zrównoważonego finansowania MŚP ze względu na różne przeszkody w MŚP. Instytucje mikrofinansowe są instytucjami najbardziej kompatybilnymi z finansowaniem MŚP, ponieważ mają uzupełniające się cechy. Niniejsze badanie ma na celu zbudowanie trwałego modelu finansowania MŚP w celu rozwoju MŚP i MIF. System dynamiczny jest używany jako narzędzie do analizy danych, z udziałem trzech głównych aktorów modelu zachowania, a mianowicie stron trzecich jako podmiotów finansujących (TPF), MIF i MŚP w scenariuszu z 2018 r. Wrażliwość i optymalizacja polityki finansowania MŚP pokazują, że aby finansowanie MŚP było optymalne, musi być spełnionych kilka warunków wstępnych: a) Stabilny poziom wskaźnika finansowania do depozytu (FDR) i wystarczający kapitał inwestycyjny, aby zapewnić zrównoważony obieg środków. FDR należy utrzymywać powyżej 60% zakresu minimalnego. b). Poziom finansowania zagrożonego (NPF) musi być utrzymany na maksymalnie 5 procentach; FDR musi przekraczać 60%, aby przekształcić oszczędności w finansowanie na osiem miesięcy; Udział finansowania MŚP wzrasta o 80 procent.
EN
The article puts forward a hypothesis about the role and the place of “destructive deviations” in identifying indicators of crises that a city is going through, in the processes of its functioning as a complex dynamic system. It also proposes a hypothesis about classification of “destructive deviations” in architecture according to their type and development scenario. The problems of their influence on the transition of a city from a steady state to a crisis and a possible catastrophe are considered. The characteristics of a city system development are viewed in the context of interaction between the forces of stability (order) and changes (development). At the same time, the fact of inevitability of intersystem conflicts in such a complex formation as a city is regarded as obvious. In the conducted study, the concept of “Destructive deviations” is part of the method of identifying “Crisis indicators” , which, in turn, is necessary to create a model complex designed for modeling, analyzing and managing the architectural component of a city as a dynamic system.
7
Content available remote Modeling Biological Systems Using Crowdsourcing
EN
Crowdsourcing is a very effective technique for outsourcing work to a vast network usually comprising anonymous people. In this study, we review the application of crowdsourcing to modeling systems originating from systems biology. We consider a variety of verified approaches, including well-known projects such as EyeWire, FoldIt, and DREAM Challenges, as well as novel projects conducted at the European Center for Bioinformatics and Genomics. The latter projects utilized crowdsourced serious games to design models of dynamic biological systems, and it was demonstrated that these models could be used successfully to involve players without domain knowledge. We conclude the review of these systems by providing 10 guidelines to facilitate the efficient use of crowdsourcing.
EN
This paper presents in-depth the parallel computer algorithm for the determination of characteristic polynomial realisations of dynamic system. The main differences between the depicted method and other state of- the-art solutions include finding not few realisations, but a whole set, and the fact that the found realisations are always minimal among all possible. As digraphsbuilding methods used in the algorithm are NP-complete or NP-hard problems, the algorithm is paralleled and GPGPU (General-Purpose computing on Graphics Processor Units) computation is proposed as the only feasible solution. The article describes in detail the proposed method, discusses it’s complexity, presents optimisation solutions and still open problems. The working algorithm is illustrated with a numerical example and compared to results of other known methods.
EN
The article discusses the specifics of data exchange in the UHF band RFID systems using semi-passive transponders. In addition to the antenna and the RFID chip, there is also an additional source of energy (eg. battery) in the structure of such transponder. The battery may be used to implement additional functions such as the ability to measure physical quantities (eg. temperature, humidity). In this regard, particular attention was paid to the discussion of phases of communication between transponder and RWD associated with additional data (measurement results). An analysis of transmitted data frames has been presented. The preliminary results of the measurements have shown that the number of memory block transmitted from transponder has an impact on the effectiveness of RFID system.
EN
For many practical weakly nonlinear systems we have their approximated linear model. Its parameters are known or can be determined by one of typical identification procedures. The model obtained using these methods well describes the main features of the system’s dynamics. However, usually it has a low accuracy, which can be a result of the omission of many secondary phenomena in its description. In this paper we propose a new approach to the modelling of weakly nonlinear dynamic systems. In this approach we assume that the model of the weakly nonlinear system is composed of two parts: a linear term and a separate nonlinear correction term. The elements of the correction term are described by fuzzy rules which are designed in such a way as to minimize the inaccuracy resulting from the use of an approximate linear model. This gives us very rich possibilities for exploring and interpreting the operation of the modelled system. An important advantage of the proposed approach is a set of new interpretability criteria of the knowledge represented by fuzzy rules. Taking them into account in the process of automatic model selection allows us to reach a compromise between the accuracy of modelling and the readability of fuzzy rules.
EN
In this work formulated relevance, set out an analytical review of existing approaches to the research recurrent neural networks (RNN) and defined precondition appearance a new direction in the field neuroinformatics – reservoir computing. Shows generalized classification neural network (NN) and briefly described main types dynamics and modes RNN. Described topology, structure and features of the model NN with different nonlinear functions and with possible areas of progress. Characterized and systematized wellknown learning methods RNN and conducted their classification by categories. Determined the place RNN with unsteady dynamics of other classes RNN. Deals with the main parameters and terminology, which used to describe models RNN. Briefly described practical implementation recurrent neural networks in different areas natural sciences and humanities, and outlines and systematized main deficiencies and the advantages of using different RNN. The systematization of known recurrent neural networks and methods of their study is performed and on this basis the generalized classification of neural networks was proposed.
PL
W artykule przedstawiono podstawy metodyczne dla prognozowania i analizy ryzyka procesu produkcyjnego w hutnictwie żelaza i stali, ze szczególnym uwzględnieniem prognozowania temperatury w różnych fazach procesu stalowniczego. Metodyka oparta jest na reprezentacji systemu dynamicznego w przestrzeni stanu oraz wnioskowaniu bayesowskim. Pozwala to przede wszystkim uchylić założenie o stałości szacowanych parametrów, prowadzić analizę dla całości rozkładu statystycznego oraz uwzględnić tzw. informację a priori czyli pochodzącą spoza zbioru danych. Praca ma charakter przeglądowy i stanowi podstawę do dalszych badań, których ostatecznym celem jest wdrożenie systemu prognozowania i analizy ryzyka w jednej z polskich stalowni, a następnie opracowanie podobnych rozwiązań dla przypadku innych faz procesu hutniczego. Zaprezentowano zakres informacji na który zgodę wyraziło kierownictwo przedsiębiorstwa.
EN
The article presents the methodological basis for forecasting and risk analysis of the production process in the iron and steel industry, with particular emphasis on forecasting temperatures in the different stages of the steelmaking process. The methodology is based on the state space representation of a dynamic system and Bayesian inference. Above all it enables repeal the assumption of a constant estimated parameters, analyze the statistical distribution of the whole and take into account the so-called a priori information, from outside the dataset. Article is a review and provides a basis for further research, with the ultimate goal to implement a system for forecasting and risk analysis in one of the Polish steel mill, and then develop similar solutions for other phases of the metallurgical process. Presented range of information on which business executives expressed consent.
EN
In the paper there is presented an application designed to perform the simulation of dynamic RFID system. The application takes into account many aspects of operation of RFID system in dynamic conditions, i.e. when during of identification process tags move in relation to the reader. The algorithm of application is based strictly on numerical values of parameters given in the EPC Gen2 protocol. There was determined the necessary time required for identification of one tag for wide range of parameters of the communication protocol. There were done the calculations of identification time of various groups of tags for possible combinations of ISO18000-6C protocol parameters. Basing on them there were determined values of total time required for identification of prescribed groups of tags. The algorithm that estimates the identified and lost tags is also presented.
PL
W artykule zaprezentowano aplikację opracowaną w celu prowadzenia symulacji pracy dynamicznego systemu identyfikacji bezstykowej RFID. W opracowanym programie uwzględniono wiele aspektów pracy systemu identyfikacji obiektów ruchomych podczas którego identyfikatory przemieszczają się w odniesieniu do anteny czytnika/programatora. Algorytm aplikacji oparty jest na wartościach parametrów zdefiniowanych przez normę opisująca protokół EPC Gen2. W celu uzyskania jak najlepszego odwzorowania rzeczywistych parametrów pracy systemu określono czas konieczny do identyfikacji obiektu z uwzględnieniem zmian parametrów protokołu. Zostały również przeprowadzone obliczenia czasu identyfikacji różnych grup identyfikatorów dla możliwych kombinacji parametrów protokołu ISO 18000-6C. Na ich podstawie określono całkowity czas potrzebny do identyfikacji danych grup identyfikatorów. Zaprezentowano również algorytm umożliwiający szacowanie liczby odczytanych i nieodczytanych identyfikatorów.
EN
At present the necessity of implementing of dynamic RFID systems is often met. Such systems are used in identification of moving cars, trains, moving parts and elements in industry, etc. Standardisation in this area is mostly related to automatic identification of vehicles (AVI). In this paper there was presented measurement procedures of significant parameters in the dynamic RFID system, in which the tags enter RWD interrogation zone and some time later they leave it. There is presented a measurement stand used to conduct research in area of dynamic RFID systems. The research results were the basis of synthesis of algorithms utilised in simulation of RFID system operating in dynamic conditions.
PL
Obecnie coraz częściej spotykane są wdrożeni a systemów bezstykowej identyfikacji RFID. Systemy te używane są w procesie identyfikacji poruszających się pojazdów, pociągów oraz części i elementów w przemyśle. Standaryzacja w tym obszarze najczęściej związana jest z automatyczna identyfikacją pojazdów (AVI). W artykule przedstawiono procedury pomiarowe parametrów systemu identyfikacji obiektów ruchomych opartego o technikę RFID, w którego obszarze poprawnej pracy identyfikatory przebywają tylko przez skończony okres czasu. Zaprezentowano też stanowisko pomiarowe używane do prowadzenia badań systemów RFID przeznaczonych do identyfikacji obiektów ruchomych. Rezultaty badań są bazą do opracowywania algorytmów używanych do symulacji systemów RFID pracujących w warunkach dynamicznych.
PL
Nieresorowane maszyny robocze na podwoziach kołowych odznaczają się niskimi własnościami dyssypacyjnymi, przez co jazda nawet z niskimi prędkościami może powodować intensywne wzbudzanie drgań. Obserwacja nieresorowanych maszyn w czasie jazdy na wprost pozwala na postawienie tezy o małej stabilności ruchu w pionowej płaszczyźnie symetrii. Praca [3] potwierdza, że jest to ruch na granicy stabilności wskazując, jako bezpośrednią przyczynę brak podatności układu dynamicznego w kierunku poziomym. W niniejszej pracy sformułowano i udowodniono tezę o możliwości efektywnej regulacji stabilności ruchu nieresorowanej maszyny mobilnej na podwoziu kołowym bez zmiany własności układu dynamicznego. Kształtowanie stabilności oparte jest na regulacji modalnej dawki paliwa. Implementacja przedstawionej metody regulacji modalnej nie zwiększy kosztów eksploatacji natomiast wpłynie na poprawę wydajności ibezpieczeństwa jazdy.
EN
Mobile heavy machines as unsprung vehicles exhibit low dissipation ability, hence the ride even at low speeds may give rise to intensive vibration. Observations of the behavior of an unsprung machine during its forward ride lead us to formulate the hypothesis of reduced machine’s stability while it moves in the vertical plane of symmetry. The work [3] confirms the view that the vertical motion of an unsprung heavy machine while it moves forward is implemented under the condition of stability limit, mostly due to stiffness of the dynamic system in the horizontal direction. In this study the hypothesis is formulated and proved which has it that the motion stability of a wheeled unsprung heavy machine in the vertical plane can be effectively controlled during the ride without changing the physical features of the dynamic system. The stability control will be based on modal regulation of the fuel amount. The implementation of this method will improve the safety features of wheeled heavy machines and increase their productivity by increasing the speed.
EN
Mobile heavy machines as unsprung vehicles exhibit low dissipation ability, hence the ride even at low speeds may give rise to intensive vertical and angular vibration. Vibrations thus produced are mostly in the low-frequency range and hence energy dissipation in tires will reduce the vibration intensity in a minor degree only. Particularly dangerous situations occur when the road wheels break away from the road surface due to the ’galloping’ effect. Kinematic excitation acting on the wheels is mostly uncorrelated stochastic (random) processes, giving rise to the "snake meandering" effect. That implies a major restriction on the ride velocity, which negatively affects the machine performance. The motion of tired wheels will always involve certain slipping. While investigating the feasibility of increasing the efficiency of the vibration reduction systems, one ought to take into account the variable adhesion of road wheels due to different dynamic loading acting on the vehicle axles during the ride. This study investigates the motion of unsprung mobile machines, taking into account the dynamic processes in the driving system under the conditions of the variable adhesion of road wheels. The model of interaction between a tired wheel and the terrain takes into account the relationship between the road wheel adhesion factor and the slipping action, as well as the impacts of the differential gear on distribution of drive torque. The 3D (spatial) model of a backhoe loader is considered. It is a two-axle self-propelled machine on a wheeled chassis. The mathematical model constitutes nonlinear and non-stationary differential equations of motion. Their stability is therefore associated with vibration intensity. Simulations in the time domain were supported by Matlab-Simulink. The purpose of this study is to improve the safety features during the ride of mobile heavy machines, basing on the parametric optimization of the model.
EN
This paper presents frequency domain characteristics of selected fractional-order dynamic systems. There is considered first-order system with various values of a fractional order. A frequency response analysis covers the Bode and Nyquist plots.
18
EN
A new approach for construction of quality functional at multicriteria optimization is proposed. A two-mass dynamical system which consists of two subsystems is considered. A case when in the area of large errors unstable subsystem dominates is considered. Function L is chosen for switching between subsystems and its optimal parameters are found.
PL
W artykule zaproponowano nowe podejście do opracowania funkcji jakości w optymalizacji wielokryterialnej. Badania przeprowadzono na systemie dynamicznych dwóch mas, dla przypadku przeważającej niestabilności jednej z nich. Zoptymalizowano parametry funkcji L, wybranej do określania przejść między obiektami.
PL
Wyszukiwana w sieciach semantycznych wiedza, potrzebna do sterowania obiektami, jest najczęściej wiedzą rozmytą. Do opisu tej wiedzy można wykorzystać język rozmytej logiki opisowej fuzzyDL. W pracy zdefiniowano układ dynamiczny (sterowany) wyszukujący wiedzę rozmytą w sieciach semantycznych przy ustalonej interpretacji wyrażeń języka tej logiki.
EN
Knowledge, searched in the semantic networks, which is used to control objects, is often fuzzy knowledge. To describe this knowledge we can use the attribute language of the Fuzzy Description Logic (fuzzyDL). In this paper we define a dynamic, controlled system searching fuzzy knowledge in the semantic networks using the fuzzyDL language.
20
Content available remote Novel circuit implementation of universal and fully analog chaotic oscillator
EN
It has been shown that the so-called dynamical system of class C can be used for studying chaotic motions. Even though we are speaking about a deterministic dynamical systems, theirs future evolution can hardly be predicted. It is due to the extreme sensitivity on tiny changes in the initial conditions. Everything follows from the general theory of the chaotic dynamics – one must have a large number of unstable initial conditions. This also suggests that a little change in the values of variable parameters can cause a dramatic change of the state space attractor’s shape. This was also the main motivations to the construction of the optimized dynamical system of class C with piecewise-linear (PWL) feedback. Based on the given system of first-order differential equations, a fully analog chaotic oscillator works in hybrid mode has been discovered for laboratory measurements. Main contribution of this work is right in circuitry implementation of a fully analog chaotic oscillator with a new available active elements. The advantage is immediately evident. The smaller number of active elements is in the whole circuit. The proper function of the final circuit structure has been verified by means of the PSpice simulator as well as by a practical experiments on the real oscillator. The corresponding results are also given.
PL
Tak zwany dynamiczny system klasy C może być użyty do studiowania procesów chaotycznych. W pracy do badań zastosowano system klasy C z liniowym sprzężeniem zwrotnym PWL. Uzyskano analogowy generator przebiegów chaotycznych. Zaletą jego jest mała liczba elementów aktywnych. Układ sprawdzono eksperymentalnie i przez symulacje.
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