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Wyświetlanie 1-15 z 24
Tytuł:
Wnioskowanie statystyczne wartości składowych wskaźnika oceny rozmieszczenia elementów aktywnych rejonowego systemu bezpieczeństwa
Autorzy:
Kołodziński, E.
Zapert, P.
Powiązania:
https://bibliotekanauki.pl/articles/110967.pdf
Data publikacji:
2018
Wydawca:
Centrum Rzeczoznawstwa Budowlanego Sp. z o.o.
Tematy:
system bezpieczeństwa
aplikacja
J2EE
środowisko MATLAB
security system
application
MATLAB environment
Opis:
Elaboration discusses the issue of computer support for optimising the deployment of active elements of an Domain Security System. It presents method of determining values of index of quality evaluation of the deployment in case of statistic reasoning using J2EE application based on MATLAB. An example task of optimising the deployment of active elements protecting two entities has been formulated and solved using developed application.
W pracy rozpatrzono zagadnienie komputerowego wspomagania optymalizacji dyslokacji elementów aktywnych Dziedzinowego Systemu Bezpieczeństwa (DSB). Przedstawiono metodę wyznaczania wartości wskaźnika oceny jakości dyslokacji w przypadku wnioskowania statystycznego za pomocą aplikacji J2EE wykorzystującej środowisko MATLAB. Sformułowano przykładowe zadanie optymalizacji dyslokacji elementów aktywnych ochraniających dwa podmioty i podano sposób jego rozwiązania za pomocą opracowanej aplikacji.
Źródło:
Inżynieria Bezpieczeństwa Obiektów Antropogenicznych; 2018, 3-4; 9-20
2450-1859
2450-8721
Pojawia się w:
Inżynieria Bezpieczeństwa Obiektów Antropogenicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of the MATLAB & SIMULINK environment to simulate the operation of a PV panel with an actual input function
Autorzy:
Jarmuda, T.
Mikulski, S.
Nawrowski, R.
Tomczewski, A.
Powiązania:
https://bibliotekanauki.pl/articles/97441.pdf
Data publikacji:
2014
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
photovoltaic cell
modelling
PV panels
MATLAB
environment
Opis:
The paper presents a method of modelling photovoltaic (PV) cells in the MATLAB & SIMULINK environment. A two-diode photovoltaic cell structure was developed, featuring series resistance. Measurements of a PV panel were carried out to determine the value of series resistance, open circuit voltage, and short-circuit current. The model suggested was used to operate the ST-STP020S-12/Cb panel with an actual input function (measurements of solar radiation power density of the south-east area of Poland in 2011). Simulation experiments were conducted of the system modelled to determine current changes, power changes, electric energy production, voltage-current characteristics, and to come up with results and draw final conclusions.
Źródło:
Computer Applications in Electrical Engineering; 2014, 12; 497-510
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The impact of the size of the training set on the predictive abilities of neural models on the example of the Day-Ahead Market System of TGE S.A.
Autorzy:
Ruciński, Dariusz
Powiązania:
https://bibliotekanauki.pl/articles/2175162.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
Day Ahead Market
MATLAB environment
Simulink environment
neural modeling
prediction time
electricity prices
Opis:
The main object of the research was to examine the acceptable time horizon that could be predicted by previously learned models of the Day-Ahead Market (DAM) TGE S.A. system. The article contains the results of research on the predicting ability of different ANN models of the DAM TGE S.A. The research was conducted based on data covering the operation of the Polish stock exchange in the period from 2002 to 2019 (the first half of the year). The research was carried out based on the learned ANN models of the DAM system. Data were taken for examination covering the time from 2002 to 2019 (1st half of the year) and was divided into a different period, i.e., a month, a quarter, and a half-year., year, etc. The MSE, MAE, MAPE, and R2 were adopted as the criteria for assessing the ability of individual models to predict electricity prices. The research was carried out by successively expanding forecasting periods in a rolling manner. For example, for a half-year, prediction time intervals were increased from one week to month, two months, quarter, half-year, etc. results for a model representing a given period. A lot of interesting research results were obtained.
Źródło:
Studia Informatica : systems and information technology; 2022, 1(26); 5--22
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Systemic Evolutionary Algorithm inspired by the methods of quantum computing to improve the accuracy of the model on the neuronal motion the end of the robot arm PR–02
Autorzy:
Wołynka, Ł.
Tchórzewski, J.
Powiązania:
https://bibliotekanauki.pl/articles/97323.pdf
Data publikacji:
2016
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
Evolution algorithms
Quantum computing
Modeling systems
Robot PR–02
Artificial Neural Networks
Environment MATLAB and Simulink
Opis:
The article contains selected results of research on the design Systemic Evolutionary Algorithm inspired by quantum informatics methods and description how to implement it in Matlab language in order to use for improve parameters neural model on example robot robot PR–02 arm motion. Initial population was based on weights matrix of artificial neural network. Randomly selected population of individual chromosomes in both the initial and in the following parent population have been converted to binary values, and these to quantum values by using created for this purpose quatization() function. Quantum gene value was determined on the basis of stonger pure state represented by different chromosomes, to which dequantization() function was used. Selection of individuals was conducted based on the model of neural robot PR–02 motion implemented in Matlab language using calculationsNeuralNetworks() function.
Źródło:
Computer Applications in Electrical Engineering; 2016, 14; 297-312
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Systemic Evolutionary Algorithm inspired by methods of Quantum computer sciences for the improvement of the accuracy of neural models in electrical engineering and electrical power engineering
Autorzy:
Tchórzewski, J.
Powiązania:
https://bibliotekanauki.pl/articles/97692.pdf
Data publikacji:
2016
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
Evolutionary Algorithms
Quantum computer science
Quantum mixed number
Systems modelling
Robot PR–02
Artificial Neural Networks
MATLAB and Simulink environment
Electric Power Exchange
Opis:
The work contains selected results of research on the application of quantum computer science to a systemic evolutionary algorithm for the purpose of improving accuracy of neural models in electrical engineering and electrical power engineering. Artificial neural networks are used in neural modeling, which networks are designed and taught models of systems using available numerical data. Parameters of neural networks, and especially, elements of weight matrices, biases as well as parameters of activation functions may be improved using evolutionary algorithms. It seems that applying solutions offered by quantum computer science to systemic evolutionary algorithm, and especially, as regards creation of quantum initial population, quantum crossover and mutation operators as well as selection, considerably improves the accuracy of modelling, which was verified in MATLAB and Simulink environment using selected examples such as RP–02 robot’s arm movement, the development of the Polish Electrical Power Exchange (polish: TGEE) system, etc.
Źródło:
Computer Applications in Electrical Engineering; 2016, 14; 280-296
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
State-space model and implementation Polish Power Exchange in Matlab and Simulnk environments
Autorzy:
Marlęga, R.
Powiązania:
https://bibliotekanauki.pl/articles/94817.pdf
Data publikacji:
2017
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
simulation research
parametric model
identification modeling
Matlab environment
Simulink environment
Business Intelligence
BI
state space
Opis:
This work contains selected results of research on modelling identification of Polish Power Exchange (TGEE) on the example of the figures quoted on the Day Ahead Market (DAM) on TGEE in Poland. In order to obtain a model of the TGEE system on the beginning it was conducted to identify the figures for the period 01.01.2013-31.12.2015 obtaining discrete parametric model arx in MATLAB and Simulink environments using System Identification Toolbox (SIT). The resultant model was converted to a continuous parametric model, and that one on a continuous model in the state space. On the basis of obtained equations of state and outputs, there was interpreted a state variables and parameters of the selected model, i.e. selected elements of the matrix A and matrix B. Research continues.
Źródło:
Information Systems in Management; 2017, 6, 4; 294-308
2084-5537
2544-1728
Pojawia się w:
Information Systems in Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simulation of the impact of the degree and type of shading on generation of electrical energy by the PV system in MATLAB&SIMULINK environment
Autorzy:
Jarmuda, T.
Powiązania:
https://bibliotekanauki.pl/articles/97511.pdf
Data publikacji:
2015
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
PV system
poor shading effect
strong shading effect
bypass diodes
MATLAB environment
Opis:
In the study the method of modelling of the photovoltaic system (PV) in MATLAB & SIMULINK environment was presented along with test results of the impact of shading on the value of energy output from the photovoltaic system. The PV system model constructed of five parallel connected photovoltaic panels of TPSM6U type was proposed. Simulation tests were conducted considering the effect of poor and strong shading of panels causing differences in the density of the radiation power (irradiance) for individual panels and the PV system. The values of electrical energy generated by individual PV panels and the whole photovoltaic system were determined for the purposes of the actual forces. Optional switching on and off of the bypass diodes was considered in the photovoltaic panels. The tests were developed and final conclusions were formulated.
Źródło:
Computer Applications in Electrical Engineering; 2015, 13; 454-468
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Quantum-inspired artificil neural networks and evolutionary algorithms methods applied to modeling of the polish electric power exchange using the day-ahead market data
Autorzy:
Tchórzewski, J.
Ruciński, D.
Powiązania:
https://bibliotekanauki.pl/articles/94957.pdf
Data publikacji:
2018
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
artificial intelligence methods
MATLAB and Simulink environment
modeling of business intelligence process
quantum inspired method
smart electric power system
electric power exchange system
Opis:
The paper presents selected results of research on the use of artificial intelligence methods, which are inspired by quantum computing solutions for modelling of electric power exchange systems. Methods used in the modelling of quantum data acquisition, quantization and dequantization of information as well as the methods of performing quantum computations were emphasized. Furthermore, we have analysed the results obtained for the neural model and for the evolutionary algorithm inspired by the quantum computer science. Eventually, the model was verified on the example of the neural model of the Electric Power Exchange (EPE).
Źródło:
Information Systems in Management; 2018, 7, 3; 201-212
2084-5537
2544-1728
Pojawia się w:
Information Systems in Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Przykłady zastosowania zintegrowanego środowiska programistycznego MATLAB&Simulink do komputerowej symulacji wybranych układów sterowania
Application of MATLAB&Simulink software for examination the selected control systems
Autorzy:
Chamela, W.
Chrzan, M.
Pietruszczak, D.
Powiązania:
https://bibliotekanauki.pl/articles/313207.pdf
Data publikacji:
2017
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
MATLAB/Simulink
symulacja układów sterowania
wirtualne środowisko pracy
simulation of control systems
virtual work environment
Opis:
W artykule przedstawiono możliwości zastosowania zintegrowanego środowiska programistycznego MATLAB&Simulink do komputerowej symulacji wybranych układów sterowania. MATLAB (MATrix LABoratory) to program komputerowy będący interaktywnym środowiskiem do wykonywania obliczeń naukowych i inżynierskich, służącym do tworzenia symulacji komputerowych, zaś Simulink to część pakietu numerycznego MATLAB dający możliwość symulacji komputerowych modeli przy pomocy interfejsu graficznego oraz tzw. bloków. W artykule podano przykłady symulacji rozwiązań równań różniczkowych zwyczajnych, wyznaczania różnych typów charakterystyk częstotliwościowych; badania stabilności układów na podstawie kryterium Hurwitza i Nyquista; badania stabilności, sterowalności i obserwowalności układów wielowymiarowych; wyznaczania portretu fazowego oraz regulacji dwupołożeniowej.
The paper presents the possibilities of using the integrated environment of MATLAB&Simulink for computer simulation of selected control systems. MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language. A proprietary programming language developed by Math-Works, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages. Simulink, also developed by MathWorks, is a graphical programming environment for modeling, simulating and analyzing dynamic systems. It offers tight integration with the rest of the MATLAB environment and can either drive MATLAB or be scripted from it. The paper shows examples of solutions of ordinary differential equations, determination of different types of frequency characteristics, system stability tests based on the Hurwitz and Nyquist criteria, stability testing, controllability and observability of multidimensional systems, creation of phase-portrait and study of two-position control.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2017, 18, 12; 753-760, CD
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction capabilities of the LSTM and Perceptron models based on the Day-Ahead Market on the Polish Power Exchange S.A.
Autorzy:
Ruciński, Dariusz
Powiązania:
https://bibliotekanauki.pl/articles/27323577.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
shallow networks
deep networks
Day-Ahead Market
MATLAB
Simulink environment
neural modeling
prediction time
electricity prices
Opis:
The main purpose of the research was to examine the properties of models for two kinds of neural networks, a deep learning models in which the Long Short-Term Memory was chosen and shallow neural model in which the Perceptron Neural Network was chosen. The subject of the examination was the Day-Ahead Market system of PPE S.A. The article presents the learning results of both networks and the results of the predictive abilities of the models. The research was conducted based on data published on the Polish Stock Exchange for the 2018 year. The MATLAB environment was chosen as a tool for providing the examinations. The determination index (R2) and the mean square error (MSE) was adopted as the network evaluation criterion for the learning ability and for the prediction ability of both networks.
Źródło:
Studia Informatica : systems and information technology; 2023, 1(28); 69--82
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neural modeling of the electric power stock market in usage of MATLAB and Simulink tools for the day ahead market data
Autorzy:
Ruciński, D.
Tchórzewski, J.
Powiązania:
https://bibliotekanauki.pl/articles/94831.pdf
Data publikacji:
2016
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
neuronal modelling
MATLAB
Simulink environment
simulation research
artificial neural network
Opis:
The work contains selected results of the modelling of neural Electric Power Exchange (EPE) in Poland. For modelling EPE system, artificial neural network (ANN) was constructed. ANN was learned and tested using of the next day market data. Generated neural model was used for simulation tests and susceptibility tests. Suitable model was implemented in Simulink. As a result of simulation tests and susceptibility testing a lot of interesting research results were obtained.
Źródło:
Information Systems in Management; 2016, 5, 2; 215-226
2084-5537
2544-1728
Pojawia się w:
Information Systems in Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neural model of the vehicle control system in a racing game. Part 2, Research experiments
Autorzy:
Bolesta, Arkadiusz
Tchórzewski, Jerzy
Powiązania:
https://bibliotekanauki.pl/articles/2175161.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
Godot Engine
MATLAB
Simulink environment
Neural control system
Perceptron Artificial Neural Networks
video games
Opis:
This article, which is a continuation of the article under the same main title and subtitle: part 1 Design and its implementation, includes the obtained results of research experiments with the use of a designed and implemented racing game. It uses a neural model of the vehicle motion control system on the racetrack in the form of a Perceptron Artificial Neural Network (ANN). In designing the movement of vehicles on the racetrack, the following were used, inter alia, Godot Engine and MATLAB and Simulink programming environment. The numerical data (14 input quantities and two output quantities) for ANN training were prepared with the use of semi-automatic measurement of the race track control points. This article shows, among others, the results of 10 selected research experiments, testing and simulation, confirming the correct functioning of both the computer game and the model of the neural control system. As a result of simulation tests, it turned out that the longest lap of the track in the conducted experiments lasted 4 minutes and 55 seconds, and the shortest - 10.47 seconds. In five minutes, the highest number of laps was 34, while the lowest numbers of laps were 1 and 5. In the course of the experiments it was noticed that under the same conditions the ANN learning outcomes are sometimes different.
Źródło:
Studia Informatica : systems and information technology; 2022, 1(26); 45--60
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neural model of the vehicle control system in a racing game. Part 1, Design and its implementation
Autorzy:
Tchórzewski, Jerzy
Bolesta, Arkadiusz
Powiązania:
https://bibliotekanauki.pl/articles/2175160.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
Artificial Neural Networks
Godot Engine
MATLAB
Simulink environment
CLion IDE
video games
Opis:
The publication consist of two parts. Part 1 contains the results of research on the design, learning and implementation of the Perceptron Artificial Neural Network as a model of neural control of car movement on the racetrack. This part 1 presents the results of studies, including review of the methods used in video racing games from the point of view of the selection of a method that can be used in the own research experiment, selection of the Artificial Neural Network architecture, its teaching method and parameters for the intended research experiment, selection of the data measurement method to be used in ANN training, as well as development design of a car game, its implementation and conducting simulation tests. In designing the game of vehicle traffic on the racetrack, among others, Godot Engine game engine and MATLAB and Simulink programming environment. The numerical data (14 input quantities and two output quantities) for ANN training were prepared with the use of semi-automatic measurement of the race track control points. Part 2 shows i.a. the results of the testing and simulation experiments that confirm the correct functioning of both the game and the model of the neural control system. There were also shown, among others, the possibility of continuing research in the field of increasing the flexibility of the racing game, in particular the flexibility of the vehicle traffic control system through the use of other artificial intelligence methods, such as ant algorithms or evolutionary algorithms.
Źródło:
Studia Informatica : systems and information technology; 2022, 1(26); 23--44
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neural model of human gait and its implementation in MATLAB and Simulink Environment using Deep Learning Toolbox
Autorzy:
Tchórzewski, Jerzy
Wielgo, Arkadiusz
Powiązania:
https://bibliotekanauki.pl/articles/2052427.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
artificial neural network
deep learning toolbox
humanoid robots
MATLAB environment
Simulink environment
modeling of human walking motion
Opis:
The article presents selected results of research on the modeling of humanoid robots, including the results of neural modeling of human gait and its implementation in the environment MATLAB and Simulink with the use of Deep Learning Toolbox. The subject of the research was placed within the scope of the available literature on the subject. Then, appropriate research experiments on human movement along a given trajectory were developed. First, the method of measuring the parameters present in the experiment was established, i.e. input quantities (displacement of the left heel, displacement of the right heel) and output quantities (displacement of the measurement point of the human body in space). Then, research experiments were carried out, as a result of which numerical data were measured in order to use them for teaching and testing the Artificial Neural Network. The Perceptron Artificial Neural Network architecture was used to build a model of a neural human walk along a given trajectory. The obtained results were discussed and interpreted, drawing a number of important conclusions.
Źródło:
Studia Informatica : systems and information technology; 2021, 1-2(25); 39-65
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-objective analysis of Polish domestic power system development from point of view of unmanned factories. A cybernetic issue
Autorzy:
Tchórzewski, J.
Powiązania:
https://bibliotekanauki.pl/articles/950676.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
development model
identification process
MATLAB and Simulink environment
multi-parameters analyze
power system modeling
unmanned factory
Opis:
The paper contains selected results of research on the Domestic Power System (DPS) as an unmanned factory. Models of the DPS system of the MISO type, obtained as a result of identification for 14 inputs and 4 outputs were presented. Particular attention was given to the identification and the assessment of the DPS development based on the systems and control theory. The obtained models of the DPS development were analyzed and discussed. The studies were obtained model of the development of the DPS, and on the basis of is knowledge of the structural and parametrical changes of system development. The model can be used to analyze the design and development of the system from the point of view of the growth of internal organization system and the transition to higher levels of control.
Źródło:
Archives of Electrical Engineering; 2016, 65, 3; 541-558
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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