Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "vector model" wg kryterium: Temat

  Lista filtrów

Dostawca treści

Wyrównaj
Wyświetlanie 1-15 z 63
Tytuł:
A computationally low burden MPTC of induction machine without prediction loop and weighting factor
Autorzy:
Kiani, Babak
Powiązania:
https://bibliotekanauki.pl/articles/2173663.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
MPTC
model predictive torque control
induction motor
duty ratio
voltage vector
lookup table
weighting factor
modelowa predykcyjna kontrola momentu obrotowego
silnik indukcyjny
współczynnik wypełnienia impulsu
wektor napięcia
tabela przeglądowa
współczynnik ważenia
Opis:
This paper presents a novel method to overcome problems of finite set-model-based predictive torque control (MPTC) which has received a lot of attention in the last two decades. Tuning the weighting factor, evaluating a large number of switching states in the loop of the predictive control, and determining the duty cycle are three major challenges of the regular techniques. Torque and flux responses of deadbeat control have been developed to overcome these problems. In our method, firstly, the prediction stage is performed just once. Then, both the weighted cost function and its evaluation are replaced with only simple relationships. The relationships reduce torque ripple and THD of stator current compromisingly. In the next step, the length of the virtual vector is used to determine the duty cycle of the optimum voltage vector without any additional computations. The duty ratio does not focus on any relation or criteria minimizing torque or flux ripple. As a result, torque and flux ripples are reduced equally. The proposed duty cycle is calculated by using a predicted virtual voltage vector. Hence, no new computation is needed to determine the proposed duty cycle. Simulation and experimental results confirm both the steady and dynamic performance of the proposed method in all speed ranges.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 4; art. no. e142050
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A critical comparison of discriminant analysis and svm-based approaches to credit scoring
Porównanie analizy dyskryminacyjnej i maszyn wektorów podpierających w analizie ryzyka kredytowego
Autorzy:
Stąpor, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/588064.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Credit scoring model
Discriminant analysis
Support vector machines
Analiza dyskryminacyjna
Maszyny wektorów podpierających
Model oceny ryzyka kredytowego
Opis:
Credit scoring models are the basis for financial institutions like retail and consumer credit banks. The purpose of these models is to evaluate the likelihood of credit applicants defaulting in order to decide whether to grant them credit. The paper compares two methodologies for building credit scoring models: heteroscedastic discriminant analysis-based with the support vector machines. The real-world credit dataset is used for comparison.
Modele oceny ryzyka kredytowego stanowią podstawę działalności większości instytucji finansowych, zajmujących się udzielaniem kredytów. Celem takich modeli jest ewaluacja prawdopodobieństwa zaprzestania przez kredytobiorcę spłaty udzielonego mu kredytu. W artykule dokonano porównania dwóch modeli oceny ryzyka kredytowego, które wykorzystują nowe metody statystyczne, a także metody uczenia maszynowego do ich konstrukcji: heteroscedastyczną analizę dyskryminacyjną oraz maszyny wektorów podpierających. Dla dokonania porównania tych metod wykorzystany został ogólnie dostępny, niemiecki zbiór kredytowy.
Źródło:
Studia Ekonomiczne; 2016, 288; 59-70
2083-8611
Pojawia się w:
Studia Ekonomiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Long-Run Relationship between Daily Prices on Two Markets: The Bayesian VAR(2)–MSF-SBEKK Model
Autorzy:
Osiewalski, Krzysztof
Osiewalski, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/483271.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Bayesian econometrics
vector error correction model
hybrid MGARCH-MSV processes
financial markets
commodity markets
Opis:
We develop a fully Bayesian framework for analysis and comparison of two competing approaches to modelling daily prices on different markets. The first approach, prevailing in financial econometrics, amounts to assuming that logarithms of prices behave like a multivariate random walk; this approach describes logarithmic returns most often by the VAR(1) model with MGARCH (or sometimes MSV) disturbances. In the second approach, considered here, it is assumed that daily price levels are linked together and, thus, the error correction term is added to the usual VAR(1)–MGARCH or VAR(1)–MSV model for logarithmic returns, leading to a reduced rank VAR(2) specification for logarithms of prices. The model proposed in the paper uses a hybrid MSVMGARCH structure for VAR(2) disturbances. In order to keep cointegration modelling as simple as possible, we restrict to the case of two prices representing two different markets. The aim of the paper is to show how to check if a long-run relationship between daily prices exists and whether taking it into account influences our inference on volatility and short-run relations between returns on different markets. In the empirical example the daily values of the S&P500 index and the WTI oil price in the period 19.12.2005 – 30.09.2011 are jointly modelled. It is shown that, although the logarithms of the values of S&P500 and WTI oil price seem to be cointegrated, neglecting the error correction term leads to practically the same conclusions on volatility and conditional correlation as keeping it in the model.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2013, 5, 1; 65-83
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new closed loop speed control strategy for a vector controlled three-phase induction motor drive
Autorzy:
Tripathi, A.
Dey, A.
Dwivedi, B.
Singh, B.
Chandra, D.
Powiązania:
https://bibliotekanauki.pl/articles/262777.pdf
Data publikacji:
2008
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie
Tematy:
space vector modulation
VSI
induction motor model
transients
steady state value
Opis:
This paper presents a completely mathematical equations based model on control of torque and speed of a three-phase indirect vector controlled VSI fed cage induction motor drive that is controlled through the space vector modulated method. This enables a wide range of acceptability of the model for various values of load and for various types and ratings of induction motors. The uniqueness of the model lies in the fact that the deviations in the torque and speed on sudden application of reference step change in speed values are minimum i.e. when any sudden change in the speed reference is desired, the speed and torque waveforms reveal that the time taken in coming back to their final steady state values is very less and the motor overcomes the perturbation with negligible transients. The same is verified through the simulated results.
Źródło:
Electrical Power Quality and Utilisation. Journal; 2008, 14, 1; 67-72
1896-4672
Pojawia się w:
Electrical Power Quality and Utilisation. Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A price transmission analysis of pasteurised liquid milk in South Africa: granger causility approach
Autorzy:
Ramoshaba, Tshegofatso
Belete, Abanet
Hlongwane, Johanes Jan
Powiązania:
https://bibliotekanauki.pl/articles/1902627.pdf
Data publikacji:
2019-12-28
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
price transmission
Granger causality
pasteurized liquid milk
Vector Error Correction model
Opis:
Price transmission studies have become increasingly important in Sub-Saharan Africa over the past decades because of its nature of providing clear and insightful information into these markets. In this study, the price transmission mechanism is described with an agricultural product within the dairy industry, namely pasteurized liquid milk. The aim of this study was to investigate and analyze the nature of the price transmission mechanism for pasteurized liquid milk in South Africa. The study used secondary time series data that covered a sample size of 17 years (2000–2016) for pasteurized liquid milk. The Granger causality test and the Vector Error Correction Model were used for data analysis. The Granger causality tests suggest that a bidirectional causal relationship exists between processor and farmgate prices, and also between retail and processor prices. On the other hand, retail prices were found to have a unidirectional causality effect on farmgate prices. The VECM results showed asymmetric price transmission, implying that retailers and processors react quicker to a price increase than to a price decrease. A price monitoring policy is suggested to be put in place in order to protect the consumers from unfair prices passed on by the retailers.
Źródło:
Journal of Agribusiness and Rural Development; 2019, 54, 4; 345-353
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A study of parallel techniques for dimensionality reduction and its impact on the quality of text processing algorithms
Autorzy:
Pietroń, M.
Wielgosz, M.
Karwatowski, M.
Wiatr, K.
Powiązania:
https://bibliotekanauki.pl/articles/114190.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
singular value decomposition
vector space model
TFIDF
Opis:
The presented algorithms employ the Vector Space Model (VSM) and its enhancements such as TFIDF (Term Frequency Inverse Document Frequency) with Singular Value Decomposition (SVD). TFIDF were applied to emphasize the important features of documents and SVD was used to reduce the analysis space. Consequently, a series of experiments were conducted. They revealed important properties of the algorithms and their accuracy. The accuracy of the algorithms was estimated in terms of their ability to match the human classification of the subject. For unsupervised algorithms the entropy was used as a quality evaluation measure. The combination of VSM, TFIDF, and SVD came out to be the best performing unsupervised algorithm with entropy of 0.16.
Źródło:
Measurement Automation Monitoring; 2015, 61, 7; 352-353
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of budget deficits and macroeconomic fundamentals: A VAR-VECM approach
Autorzy:
Epaphra, Manamba
Powiązania:
https://bibliotekanauki.pl/articles/522020.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Budget deficit
Macroeconomic variables
Vector Autoregression
Vector Error-Correction Model
Opis:
Aim/purpose – This paper examines the relationship between budget deficits and selected macroeconomic variables in Tanzania for the period spanning from 1966 to 2015. Design/methodology/approach – The paper uses Vector autoregression (VAR) – Vector Error Correction Model (VECM) and variance decomposition techniques. The Johansen’s test is applied to examine the long run relationship among the variables under study. Findings – The Johansen’s test of cointegration indicates that the variables are cointegrated and thus have a long run relationship. The results based on the VAR-VECM estimation show that real GDP and exchange rate have a negative and significant relationship with budget deficit whereas inflation, money supply and lending interest rate have a positive one. Variance decomposition results show that variances in the budget deficits are mostly explained by the real GDP, followed by inflation and real exchange rate. Research implications/limitations – Results are very indicative, but highlight the importance of containing inflation and money supply to check their effects on budget deficits over the short run and long-run periods. Also, policy recommendation calls for fiscal authorities in Tanzania to adopt efficient and effective methods of tax collection and public sector spending. Originality/value/contribution – Tanzania has been experiencing budget deficit since the 1970s and that this budget deficit has been blamed for high indebtedness, inflation and poor investment and growth. The paper contributes to the empirical debate on the causal relationship between budget deficits and macroeconomic variables by employing VAR-VECM and variance decomposition approaches.
Źródło:
Journal of Economics and Management; 2017, 30; 20-57
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of the Cobb-Douglas Production Function as a Tool to Investigate the Impact of FDI Net Inflows on Gross Domestic Product Value in Poland in the Period 1994-2012
Autorzy:
Kosztowniak, Aneta
Powiązania:
https://bibliotekanauki.pl/articles/488854.pdf
Data publikacji:
2014
Wydawca:
Instytut Badań Gospodarczych
Tematy:
FDI
GDP
Cobb-Douglas production function
VECM (Vector Error Corection Model)
Opis:
The purpose of this paper is to analyse the impact of foreign direct investments net inflows on changes in GDP value in Poland in the period between 1994 and 2012 with the use of the Cobb-Douglas production function. The paper consist of five parts. Parts I and II present some aspects of the FDI influence on economic growth from the theoretical and empirical point of view. Part III defines conditions indispensable for the positive FDI impact on the economy of the host country. Part IV outlines changes of FDI flows in Poland in the period of 1994-2012. Part V includes the main assumptions of the Cobb-Douglas production function and an estimate of changes in GDP value for Poland in the period 1994–2012 with the use of the VECM. The factors significant for economic growth are also identified, including the significance of the net FDI inflows. Eventually, the effect of gross fixed capital formation, employment, FDI net inflows, exports and R&D on changes in the GDP value are determined.
Źródło:
Oeconomia Copernicana; 2014, 5, 4; 169-190
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of the vector-autoregression VAR model in the analysis of unemployment hysteresis in the context of Okun’s Law
Autorzy:
Kołbyko, Patryk
Powiązania:
https://bibliotekanauki.pl/articles/2207120.pdf
Data publikacji:
2023-02-22
Wydawca:
Uniwersytet Ekonomiczny w Poznaniu
Tematy:
vector-autoregression model VAR
time series analysis
hysteresis in the labour market
Okun’s Law
macroeconometrics
Opis:
Unemployment is an important macroeconomic issue both in theoretical terms and for economic reality. On the theoretical ground, the unemployment rate, which is a measure of the share of unemployed units of the labour supply in the economy, determines the output gap at a certain adjustment parameter determined by the marginal productivity of labour. One of the causes of rising or persistent unemployment in the economy is the phenomenon of unemployment hysteresis, which occurs as a result of changes in the marginal disutility of labour, the strength of the wage bargain and other exogenous conditions arising in previous periods. The purpose of the study conducted in the following paper is to investigate the phenomenon of hysteresis in the labour market by analysing the significance of the impact of the unemployment rate in previous periods. In addition, the work aims to study Okun’s Law as an effect of production dynamics on the unemployment rate. The study of the dependence was carried out through the estimation of a macroeconometric time series model—vector-autoregression (VAR) on the example of statistical data for Poland obtained from Statistics Poland (Stat.gov.pl) and complied raports about national accounts in the quarterly sequence for the years 2015–2021. The period of the study was arbitrarily selected with the observation of business cycle fluctuations in the above time frame. Empirical analysis of selected structural parameters through estimation of the vector-autore- gression model showed a significant influence of the time series in the formation of the unemployment rate, which confirms the influence of the analysed phenomenon of hysteresis in the labour market. In addition, the vector-autoregression model for inter- val forecasting through the use of dynamic prediction proved to be a posteriori accurate forecasting model of the unemployment rate in the Polish economy.
Źródło:
Research Papers in Economics and Finance; 2022, 6, 2; 68-85
2543-6430
Pojawia się w:
Research Papers in Economics and Finance
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applications of the combinatorial configurations for optimization of technological systems
Autorzy:
Riznyk, V.
Powiązania:
https://bibliotekanauki.pl/articles/411283.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
Ideal Ring Bundle
circular sequence
circular symmetry
model
optimal proportion
vector data coding
self-correcting
resolving ability
Opis:
This paper involves techniques for improving the quality indices of engineering devices or systems with non-uniform structure (e.g. arrays of sonar antenna arrays) with respect to performance reliability, transmission speed, resolving ability, and error protection, using novel designs based on combinatorial configurations such as classic cyclic difference sets and novel vector combinatorial configurations. These design techniques makes it possible to configure systems with fewer elements than at present, while maintaining or improving on the other operating characteristics of the system. Several factors are responsible for distinguish of the objects depending an implicit function of symmetry and non-symmetry interaction subject to the real space dimensionality. Considering the significance of circular symmetric field, while an asymmetric subfields of the field, further a better understanding of the role of geometric structure in the behaviour of system objects is developed. This study, therefore, aims to use the appropriate algebraic results and techniques for improving such quality indices as combinatorial varieties, precision, and resolving ability, using remarkable properties of circular symmetry and non-symmetry mutual penetration as an interconnection cyclic relationships, and interconvertible dimensionality models of optimal distributed systems. Paper contains some examples for the optimization relating to the optimal placement of structural elements in spatially or temporally distributed technological systems, to which these techniques can be applied, including applications to coded design of signals for communications and radar, positioning of elements in an antenna array, and development vector data coding design.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2016, 5, 2; 27-32
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Classifiers accuracy improvement based on missing data imputation
Autorzy:
Jordanov, I.
Petrov, N.
Petrozziello, A.
Powiązania:
https://bibliotekanauki.pl/articles/91626.pdf
Data publikacji:
2018
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
machine learning
missing data
model-based imputation
neural networks
random forests
support vector machine
radar signal classification
nauczanie maszynowe
brakujące dane
sieci neuronowe
maszyna wektorów nośnych
klasyfikacja sygnałów radarowych
Opis:
In this paper we investigate further and extend our previous work on radar signal identification and classification based on a data set which comprises continuous, discrete and categorical data that represent radar pulse train characteristics such as signal frequencies, pulse repetition, type of modulation, intervals, scan period, scanning type, etc. As the most of the real world datasets, it also contains high percentage of missing values and to deal with this problem we investigate three imputation techniques: Multiple Imputation (MI); K-Nearest Neighbour Imputation (KNNI); and Bagged Tree Imputation (BTI). We apply these methods to data samples with up to 60% missingness, this way doubling the number of instances with complete values in the resulting dataset. The imputation models performance is assessed with Wilcoxon’s test for statistical significance and Cohen’s effect size metrics. To solve the classification task, we employ three intelligent approaches: Neural Networks (NN); Support Vector Machines (SVM); and Random Forests (RF). Subsequently, we critically analyse which imputation method influences most the classifiers’ performance, using a multiclass classification accuracy metric, based on the area under the ROC curves. We consider two superclasses (‘military’ and ‘civil’), each containing several ‘subclasses’, and introduce and propose two new metrics: inner class accuracy (IA); and outer class accuracy (OA), in addition to the overall classification accuracy (OCA) metric. We conclude that they can be used as complementary to the OCA when choosing the best classifier for the problem at hand.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2018, 8, 1; 31-48
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Concerning the vector control of a squirrel-cage induction motor
Autorzy:
Firago, B.
Vasilyev, D.
Powiązania:
https://bibliotekanauki.pl/articles/1814042.pdf
Data publikacji:
2014
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
induction motor
synchronous rotating frame
vector control
mathematical model
Opis:
A technique for investigation of electric drive dynamics when an induction motor operates at the direct vector control with alignment of the axis x of synchronous rotating frame x–y along the rotor flux linkage vector is presented here. Simulation results of the specific electric drive verify the faithfulness of recommended technique.
Źródło:
Prace Naukowe Instytutu Maszyn, Napędów i Pomiarów Elektrycznych Politechniki Wrocławskiej. Studia i Materiały; 2014, 70, 34; 271--285
1733-0718
Pojawia się w:
Prace Naukowe Instytutu Maszyn, Napędów i Pomiarów Elektrycznych Politechniki Wrocławskiej. Studia i Materiały
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Crude Oil Price and Speculative Activity: A Cointegration Analysis
Autorzy:
Socha, Robert
Wdowiński, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/2076245.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
crude oil price
speculation
futures
cointegration
vector error correction model
Opis:
The aim of the study is to discuss the relationship of the crude oil price, speculative activity and fundamental factors. An empirical study was conducted with a VEC model. Two cointegrating vectors were identified. The first vector represents the speculative activity. We argue that the number of short noncommercial positions increases with the crude oil stock and price, decreases with the higher number of long non-commercial positions. A positive trend of crude oil prices may be a signal for traders outside the industry to invest in the oil market, especially as access to information could be limited for them. The second vector represents the crude oil price under the fundamental approach. The results support the hypothesis that the crude oil price is dependent on futures trading. The higher is a number of commercial long positions, the greater is the pressure on crude oil price to increase.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2018, 3; 263-304
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Current aspects of mathematical modelling of evaluating quality of agricultural products
Autorzy:
Lysa, O.
Powiązania:
https://bibliotekanauki.pl/articles/410740.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
target function
fuzzy restriction
vector-optimizing model
Opis:
The paper presents mathematical model of complex evaluation of the quality of production with optimizing indicators of crop growing. Multicriterion model is reduced to the problem of optimizing with the predetermined target function which considers almost all parameters of the prodution quality. The model takes into account limits of modifications of quality characteristics of production by introducing the indistinct description of the quality characteristics of productions. The model was developed on the example of evaluating quality of the barley grain.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2014, 3, 4; 59-62
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Displacement analysis of the human knee joint based on the spatial kinematic model by using vector method
Autorzy:
Knapczyk, J.
Góra-Maniowska, M.
Powiązania:
https://bibliotekanauki.pl/articles/386514.pdf
Data publikacji:
2017
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
human knee joint model
kinematic analysis
parallel mechanism
constraint equations
vector method
Opis:
Kinematic model of the human knee joint, considered as one-degree-of-freedom spatial parallel mechanism, is used to analyse the spatial displacement of the femur with respect to the tibia. The articular surfaces of femoral and tibia condyles are modelled, based on selected references, as spherical and planar surfaces. The condyles are contacted in two points and are guided by three ligaments modelled as binary links with constant lengths. In particular, the mechanism position problem is solved by using the vector method. The obtained kinematic characteristics are adequate to the experimental results presented in the literature. Additionally, the screw displacements of relative motion in the knee joint model are determined.
Źródło:
Acta Mechanica et Automatica; 2017, 11, 4; 322-327
1898-4088
2300-5319
Pojawia się w:
Acta Mechanica et Automatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 63

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies