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Wyświetlanie 1-15 z 20
Tytuł:
Analysis of data quoted on the Day-Ahead Market of TGE S.A. using Statistics and Machine Learning Toolbox
Autorzy:
Tchórzewski, Jerzy
Longota, Bartłomiej
Powiązania:
https://bibliotekanauki.pl/articles/2201615.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
artificial neural network
cluster analysis
Day-Ahead Market
k-means method
Matlab and Simulink environment
Statistics and Machine Learning Toolbox
Ward’s method
Opis:
The publication contains the results of research in the field of cluster analysis carried out using data quoted on the Day-Ahead Market of TGE S.A. Two methods were used in the analysis, one hierarchical known as the Ward’s method, and the other non-hierarchical - the k-means method. Many interesting research results have been obtained, which are illustrated, among others, in in the form of dendrograms, silhouette graphs and graphs in the form of clusters. Data on the volume and the volumeweighted average price of electricity were examined for various types of quotations: fixing 1, fixing 2 and continuous quotations. The research was carried out in the MATLAB and Simulink environments using a library called Machine and Statistics Learning Toolbox. Selected test results were interpreted.
Źródło:
Studia Informatica : systems and information technology; 2022, 2(27); 49--74
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Anthropogenic radionuclides 137Cs and 90Sr in the Southern Baltic Sea ecosystem
Autorzy:
Zalewska, T.
Suplinska, M.
Powiązania:
https://bibliotekanauki.pl/articles/47966.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:
137 caesium
90 strontium
radioisotope
artificial radionuclide
Southern Baltic Sea
Chernobyl disaster
marine environment
high concentration
radioactive pollution
radioactive pollutant
marine area
benthic organism
bottom sediment
macroinvertebrate
fish
marine sediment
sea water
Źródło:
Oceanologia; 2013, 55, 3
0078-3234
Pojawia się w:
Oceanologia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence for supervised classification purposes: Case of the surface water quality in the Moulouya River, Morocco
Autorzy:
Manssouri, Imad
Talhaoui, Abdelghani
El Hmaidi, Abdellah
Boudad, Brahim
Boudebbouz, Bouchra
Sahbi, Hassane
Powiązania:
https://bibliotekanauki.pl/articles/1841945.pdf
Data publikacji:
2021
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
artificial intelligence
environment
supervised classification
the Moulouya River
water quality
Opis:
From a management perspective, water quality is determined by the desired end use. Water intended for leisure, drinking water, and the habitat of aquatic organisms requires higher levels of purity. In contrast, the quality standards of water used for hydraulic energy production are much less important. The main objective of this work is focused on the development of an evaluation system dealing with supervised classification of the physicochemical quality of the water surface in the Moulouya River through the use of artificial intelligence. A graphical interface under Matlab 2015 is presented. The latter makes it possible to create a classification model based on artificial neural networks of the multilayer perceptron type (ANN-MLP). Several configurations were tested during this study. The configuration [9 8 3] retained gives a coefficient of determination close to the unit with a minimum error value during the test phase. This study highlights the capacity of the classification model based on artificial neural networks of the multilayer perceptron type (ANN-MLP) proposed for the supervised classification of the different water quality classes, determined by the calculation of the system for assessing the quality of surface water (SEQ-water) at the level of the Moulouya River catchment area, with an overall classification rate equal to 98.5% and a classification rate during the test phase equal to 100%.
Źródło:
Journal of Water and Land Development; 2021, 50; 240-247
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Capabilities of MATLAB and Simulink related to modelling of Polish power exchange
Autorzy:
Tchórzewski, J.
Powiązania:
https://bibliotekanauki.pl/articles/94981.pdf
Data publikacji:
2016
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
artificial neural network
identification
MATLAB
Simulink
environment
Polish Power Exchange
simulation
Day Ahead Market
Opis:
The paper presents selected results of research on modelling a system of the POLISH Power Exchange in the MATLAB and Simulink environment. Modelling capabilities of various toolboxes and Matlab language were presented. Special attention was paid to identification modelling using System Identification Toolbox, neural modelling using Neural Network Toolbox and simulation modelling using Simulink. Research experiments were preformed based on the Day Ahead Market quotations. The obtained models of th type in SIT, an artificial neural network (ANN) in NNT and a block diagram in Simulink were subjected to comparative and sensitivity tests. Final results were interpreted.
Źródło:
Information Systems in Management; 2016, 5, 3; 424-435
2084-5537
2544-1728
Pojawia się w:
Information Systems in Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design and research on artificial neural networks as electrical power system development models based on IEEE RTS data
Autorzy:
Tchórzewski, J.
Pytel, M.
Powiązania:
https://bibliotekanauki.pl/articles/97683.pdf
Data publikacji:
2015
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
artificial neural network
IEEE RTS data
electrical power system
MATLAB and Simulink environment
testing sensitivity
simulation studies
Opis:
The paper presents selected results of research on the design of artificial neural networks and training them using the electrical power system development model (EPS or EP system) based on IEEE RTS 96 test data, i.a. creation of training and test files, development of architecture of the artificial neural network, selection of parameters of the network, selection of appropriate training and testing method, etc. As a result of the development and training an ANN, the following EP system development models were obtained, which were examined for sensitivity to changes of the number of hidden layers, number of neurons in a layer, activation function, training method, etc. Subsequently, simulation models for studying fitness of the obtained models to the real systems. Interesting results were obtained, e.g. the method of the neural modelling of the system, the optimal architecture of the ANN that is a model of the system, possibilities and directions to improve a neural model of the system, etc.
Źródło:
Computer Applications in Electrical Engineering; 2015, 13; 231-244
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Diversity in Anthropogenic Environment – Permanent Puddle as a Place for Development of Diatoms
Autorzy:
Rybak, Mateusz
Noga, Teresa
Poradowska, Anita
Powiązania:
https://bibliotekanauki.pl/articles/123111.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
Bacillariophyta
urban ecology
artificial environment
urban stream syndrome
Opis:
Specific conditions in urban areas favour large species richness, these are also places prone to the anthropogenic pressure. As a result, many studies on aquatic habitats in urban ecosystems have been carried out. The aim of this study was to investigate the diversity of diatom assemblages developing in artificial environment in relation to water chemical parameters. The study was performed on a small water outflow in south-eastern Poland, which started in the storm sewage. The water at the studied sites was characterized by alkaline pH and low content of nutrients. The values of other chemical parameters were highly variable, depending on the research season. A total of 113 taxa were identified in five research seasons; most of them prefer circumneutral and fertile habitats, with a high content of biogens and are tolerant to water pollutions. Aerophytic and terrestrial taxa were observed in the analyzed materials in high diversity.
Źródło:
Journal of Ecological Engineering; 2019, 20, 8; 165-174
2299-8993
Pojawia się w:
Journal of Ecological Engineering
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:
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 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 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:
Próba predykcji zmiany stężenia SO2 w atmosferze przy wykorzystaniu klasyfikatora PNN – badania wstępne
Prediction of changes in the concentration of SO2 in the atmosphere by using PNN classifier – preliminary test
Autorzy:
Czech, R.
Czech, P.
Powiązania:
https://bibliotekanauki.pl/articles/252884.pdf
Data publikacji:
2015
Wydawca:
Instytut Naukowo-Wydawniczy TTS
Tematy:
zanieczyszczenie środowiska
ochrona środowiska
SO2
sztuczna sieć neuronowa
environment pollution
environmental protection
artificial neural network
Opis:
Zanieczyszczenia środowiska naturalnego wpływa na komfort życia, szczególnie na terenach zurbanizowanych. Na całym świecie prowadzi się działania, których celem jest poprawa istniejącego stanu. Ochrona środowiska ma również szczególne znaczenie w polityce Unii Europejskiej. Prowadzi się liczne działania mające na celu zachęcać do tworzenia ekologicznej gospodarki, a także dbać o zdrowie i dobrobyt ludzi. Wprowadzanie zaostrzonych norm oraz finansowe wspieranie ekologicznych projektów ma istotny wpływ na wiele gałęzi gospodarki, szczególnie w zakresie przemysłu, transportu, czy produkcji energii. W artykule przedstawiono wyniki wstępnych badań związanych z predykcją zmian wartości stężenia SO2 w powietrzu atmosferycznym. W badaniach posłużono się danymi pomiarowymi ze stacji monitoringu powietrza w Gliwicach. W eksperymentach sprawdzano możliwość wykorzystania sztucznych sieci neuronowych typu PNN.
Environmental pollution has a particular impact on the comfort of life, especially in urban areas. Around the world, efforts are aimed at improving this situation. Particular importance in the policy of the European Union is protecting the environment. Its activities are designed to encourage companies for creating a green economy, as well as care for the health and prosperity of people. The introduction of more stringent standards, and financial support for environmental projects have a significant impact on many sectors of the economy, especially in the field of industry, transport, and energy production. The article presents results of preliminary studies related to the prediction of changes in the concentration of SO2 in atmospheric air. Researches was based on the data on concentrations of pollutants and meteorological conditions recorded by an automatic station monitoring the air quality in Gliwice. The possibility of using PNN artificial neural networks were tested in the experiments.
Źródło:
TTS Technika Transportu Szynowego; 2015, 12; 342-346, CD
1232-3829
2543-5728
Pojawia się w:
TTS Technika Transportu Szynowego
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Problemy symulowania "sztucznego środowiska" habitatu z perspektywy sozopsychologii kosmicznej
Artificial environment of habitats from space sozopsychology perspective
Autorzy:
Terelak, Jan F.
Powiązania:
https://bibliotekanauki.pl/articles/1817823.pdf
Data publikacji:
2004-12-31
Wydawca:
Uniwersytet Kardynała Stefana Wyszyńskiego w Warszawie
Tematy:
sztuczne środowisko
sozopsychologia
artificial environment
sozopsychology
space
Opis:
The article tries to develop a theoretical and methodological basis for modeling human being's artificial environment in spaceships. The author, as a founder of "cosmic sozopsychology" understands this as a subdiscipline of sozopsychology, underlines the necessity to build a safety barrier to maintain and protect human life in an extreme cosmic environment. It demands a very detailed knowledge of man ecology including upper and bottom limits of tolerance for stressful factors existing in space. These aims are very useful for flight simulators. Among others, there are very important so-called "ecological imitators" of human work and human existence on board spaceships. The detailed knowledge of all stress factors has systematic character, including objective and subjective interactions within the human-environment system.
Źródło:
Studia Ecologiae et Bioethicae; 2004, 2, 1; 575-594
1733-1218
Pojawia się w:
Studia Ecologiae et Bioethicae
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:
Reinforcement Learning in Ship Handling
Autorzy:
Łącki, M.
Powiązania:
https://bibliotekanauki.pl/articles/117361.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Ship Handling
Reinforcement Learning
Machine Learning Techniques
Manoeuvring
Restricted Waters
Markov Decision Process (MDP)
Artificial Neural Network (ANN)
multi-agent environment
Opis:
This paper presents the idea of using machine learning techniques to simulate and demonstrate learning behaviour in ship manoeuvring. Simulated model of ship is treated as an agent, which through environmental sensing learns itself to navigate through restricted waters selecting an optimum trajectory. Learning phase of the task is to observe current state and choose one of the available actions. The agent gets positive reward for reaching destination and negative reward for hitting an obstacle. Few reinforcement learning algorithms are considered. Experimental results based on simulation program are presented for different layouts of possible routes within restricted area.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2008, 2, 2; 157-160
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simple method to improve the TCXDVN 306:2004 indoor climate standard for closed office workplaces in Vietnam
Autorzy:
Ha, Pham T. H.
Hoa, Nguyen T.
Binh, Pham T.
Powiązania:
https://bibliotekanauki.pl/articles/35521811.pdf
Data publikacji:
2021
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
thermal comfort
artificial indoor environment
standard indoor climatic parameters
office workplace
energy efficient building
Vietnam
Opis:
Thermal comfort is an important parameter of indoor climate, which affects office worker health and productivity, and also aids planning for energy efficient building design and operation. To provide satisfactory thermal comfort in office workplaces under hot and humid outdoor conditions, most contemporary office buildings in Vietnam are fitted with ducted air-conditioning systems. The current Vietnamese standard TCXDVN 306:2004 for indoor climate was derived from thermal comfort research conducted between the 1960s and 1980s. This standard is limited by various drawbacks, including no distinction between natural or artificial environments. In response, this 2018 research provides physical measurements and opinion surveys of current indoor climatic conditions in representative office workplaces in three regions of Vietnam: North, Central and South. The measurement results have been transformed into ET, PMV and PPD indicators, which value demonstrate the shortcomings of the TCXDVN 306:2004 standard, while providing a baseline input for updating this standard to meet the thermal comfort needs of air-conditioned office workplaces, based on the concept of probability comfort, which are integral with the ISO and the ASHRAE standard.
Źródło:
Scientific Review Engineering and Environmental Sciences; 2021, 30, 1; 117-133
1732-9353
Pojawia się w:
Scientific Review Engineering and Environmental Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
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