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Wyszukujesz frazę "prediction method" wg kryterium: Temat


Tytuł:
The methods of pressures prediction based on geophysical data
Autorzy:
Wiśniowski, R.
Toczek, P.
Powiązania:
https://bibliotekanauki.pl/articles/298799.pdf
Data publikacji:
2015
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
Eaton coefficient
prediction of pressure
prediction method
geophysical measurements
Opis:
Prediction of reservoir pressure and so its values at an early stage of wellbore designing significantly increases the profitability of exploration and production wells design. The prediction of rock mass pressures can be performed in a number of ways. The prediction methods have been reviewed since the 1950s. The methods of empirical forecasting of pressures proposed by Eaton B.A. as well as Hottman and Johnson were described in the paper. The paper also refers to the prediction of rock mass pressures on the basis of seismic well log results obtained from works performed on the same geologic unit. A relation between basic parameters of rocks along the wellbore profile is shown. The Eaton method was used for empirical determining pressure for a planned well based on seismic data form the existing well.
Źródło:
AGH Drilling, Oil, Gas; 2015, 32, 3; 551-563
2299-4157
2300-7052
Pojawia się w:
AGH Drilling, Oil, Gas
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Microscopic Prediction Model for Traffic Noise in Adjacent Regions to Arterial Roads
Autorzy:
Li, Ming
Liu, Jizhou
Powiązania:
https://bibliotekanauki.pl/articles/31339809.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
traffic noise
arterial roads
noise prediction method
microscopic level
Opis:
Traffic noise in big cities impacts the people who live and work in high-rise buildings alongside arterial roads. To determine this impact magnitude, this paper proposes and validates a microscopic level method that locally predicts the total noise level and the spectral characteristics of traffic flow in the near-road region. In the proposed method, the vehicles on the road are considered as multiple queues of moving point sound sources with ground reflection considered. To account for the flow of vehicles on the road, traffic field data, and individual vehicle noise source models are also employed. A field measurement is conducted to validate the proposed method. Results comparison shows that the predicted and the measured overall A-weighted sound pressure level and A-weighted noise spectra are within 3 dBA and 5 dBA, respectively. Based on the validated method, the spatial distribution of traffic noise near the arterial road is investigated for different traffic scenarios.
Źródło:
Archives of Acoustics; 2023, 48, 3; 433-449
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A blade design performance based off-design loss prediction method for axial flow compressors and cascades
Autorzy:
Wu, Dongrun
Teng, Jinfang
Qiang, Xiaoqing
Yang, Zhong
Powiązania:
https://bibliotekanauki.pl/articles/281416.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
blade design performance
off-design loss
prediction method
axial flow compressor
cascade
Opis:
A series of compressor and cascade test recordings are studied to investigate the off-design loss prediction method. The blade design performance is used to predict the off-design loss changing rate at all operating conditions through analytical derivations and statistical correlation studies. The linear correlation between the incidence and a non-dimensional blade loading factor is the foundation of the prediction method. The off-design incidence is normalized using the off-design blade loading factor for different series of blade designs. An analytical method is introduced to predict the off-design blade loading factor based on design parameters and linear correlation. The changing rate of the off-design loss against the blade loading factor is empirically given through statistical analysis. In application, the prediction method can be used to demonstrate the design space of the off-design incidence for a blade series. The modification of the endwall and the rotor tip loss is recommended to give a more accurate prediction in those regions.
Źródło:
Journal of Theoretical and Applied Mechanics; 2019, 57, 4; 973-985
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dredging Volumes Prediction for the Access Channel of Santos Port Considering Different Design Depths
Autorzy:
Pion, L.M.
Bernardino, J.C.M
Powiązania:
https://bibliotekanauki.pl/articles/116091.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Port of Santos
dredging
water level
dredging volumes prediction
Chart Datum (CD)
water level modeling
access channel
prediction method
Opis:
Santos is the most important Brazilian port, handling about 114 million of tons in 2016. In 2010, there was a great capital dredging in order to deepen the Access Channel to 15m deep (Chart Datum - CD). This depth was not achieved, due to inefficiency on dredging procedures. As deepening and maintaining design depths are indispensable, this study presents an analysis of sediment deposition in Santos Port Access Channel and an annual dredging volumes prediction, considering current bathymetric survey and design depths of 15, 16 and 17 m (CD).A numerical hydrodynamic and morphological model was developed for the interest area, by using Delft3D®, calibrated with waves, currents and water level data measured within Santos Port adjacen-cies. Sediment transport model was calibrated with suspended sediment data and historic series of dredged volumes from Santos Port Access Channel. Two different scenarios were simulated for each design depth, according to the regional environmental characteristics. For current bathymetric scenario, the model estimates that it would be necessary to dredge an annual average of about 4,325,000 m³ from Santos Port access chan-nel to maintain current depth condition. Regarding design depths of 15, 16, 17 meters, it would be an in-crease of 15%, 55%, and 80%.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2018, 12, 3; 505-514
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applications of regression methods to humidity sensors calibration
Zastosowanie metod regresji w kalibracji sensorów wilgotności
Autorzy:
Majewski, J.
Boyko, O.
Powiązania:
https://bibliotekanauki.pl/articles/158930.pdf
Data publikacji:
2011
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Elektrotechniki
Tematy:
metoda klasyczna kalibracji liniowej
metoda odwrotna kalibracji liniowej
kalibracja sensorów wilgotności
humidity sensor calibration
classical calibration method
inverse prediction method
Opis:
The classical and inverse linear calibration methods based on the regression of y on x and the regression of x on y, were applied to several humidity sensors. The predicted values for given values of the output value of sensors were calculated, and conclusions concerning the accuracy of prediction were drawn.
Zastosowano metodę klasyczną i metodę odwrotną kalibracji liniowej oparte, odpowiednio, na regresji y względem x oraz regresji x względem y do wyznaczenia równania prostej kalibracji dla kilku sensorów wilgotności oferowanych na rynku. Przedstawiono wyniki obliczeń wartości predykowanych wilgotności dla wybranych wartości sygnału wyjściowego sensorów oraz podano wnioski dotyczące dokładności predykcji.
Źródło:
Prace Instytutu Elektrotechniki; 2011, 252; 101-106
0032-6216
Pojawia się w:
Prace Instytutu Elektrotechniki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On the consistency of sieve bootstrap prediction intervals for stationary time series
Autorzy:
Różański, Roman
Zagdański, Adam
Powiązania:
https://bibliotekanauki.pl/articles/729798.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:
prediction intervals
sieve bootstrap
method of sieves
Opis:
In the article, we consider construction of prediction intervals for stationary time series using Bühlmann's [8], [9] sieve bootstrapapproach. Basic theoretical properties concerning consistency are proved. We extend the results obtained earlier by Stine [21], Masarotto and Grigoletto [13] for an autoregressive time series of finite order to the rich class of linear and invertible stationary models. Finite sample performance of the constructed intervals is investigated by computer simulations.
Źródło:
Discussiones Mathematicae Probability and Statistics; 2004, 24, 1; 5-40
1509-9423
Pojawia się w:
Discussiones Mathematicae Probability and Statistics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
SAMEE : the nonlinear adaptive method for predicting work effort of information systems development
SAMEE : nieliniowa adaptacyjna metoda predykcji pracochłonności wytworzenia systemów informatycznych
Autorzy:
Augustyn, D.
Warchal, L.
Powiązania:
https://bibliotekanauki.pl/articles/375691.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
adaptive method for work effort prediction
polynomial estimation model
software analysis and design
Enterprise Architect add-in
Opis:
At the early stage of information system analysis and design one of the challenge is to estimate total work effort needed, when only small number of analysis artifacts is available. As a solution we propose new method called SAMEE – Simple Adaptive Method for Effort Estimation. It is based on the idea of polynomial regression and uses selected UML artifacts like use cases, actors, domain classes and references between them. In this paper we describe implementation of this method in Enterprise Architect CASE tool and show simple example how to use it in real information system analysis.
We wczesnych etapach tworzenia systemu informatycznego szczególnie trudnym zadaniem jest wstępne oszacowanie pracochłonności wytworzenia całego systemu, gdy pierwszy, wstępny, analityczny opis systemu jest znikomy, tzn. gdy dostępne są jednie uproszczone artefakty analityczne (w sensie dostępności tylko niektórych rodzajów artefaktów i niskiej szczegółowości ich opisu). W niniejszym artykule zaproponowano metodę SAMEE (ang. Simple Adaptive Method for Effort Estimation), tzn. prostą adaptacyjną metodę szacowania pracochłonności, opartą na UML-owych artefaktach analitycznych takich jak: cechy systemu, przypadki użycia aktorzy, klasy dziedzinowe, referencje pomiędzy klasami. Na podstawie znajomości danych historycznych dotyczących pracochłonności realizacji cech oraz związanych z tymi cechami artefaktami (przypadki użycia, aktorzy, klasy, referencje) metoda określa nieliniowy model estymacji pracochłonności wytworzenia cech. Wykorzystując regresję wielomianową, metoda pozwala na znalezienie jawnej zależności pomiędzy pracochłonnością wytworzenia cech systemu, a innymi, wymienionymi wcześniej artefaktami. W szczególności metoda pozwala na wskazanie, który typ artefaktu ma najistotniejszy wpływ na estymowane pracochłonności cech. Metoda ma charakter adaptacyjny i lokalny, tzn. uzyskany model wynikowy zależny jest ściśle od organizacji procesu wytwórczego, zespołu produkcyjnego, przyjętych narzędzi wytwórczych. Artykuł opisuje również prototypową implementację metody SAMEE w postaci tzw. programowej wtyczki (ang.plug-in) do popularnego narzędzia CASE – Enterprise Architect – wspomagającego analizę i projektowanie systemów informatycznych. Dodatkowo, dzięki mechanizmowy profi li UML, odpowiednie artefakty (np. cechy) zostały wzbogacone o atrybuty wymagane do obsługi zaproponowanej metody estymacji. Taka integracja z narzędziem CASE pozwala myśleć o praktycznym zastosowaniu narzędzia do szacowania pracochłonności metodą SAMEE. Przykład konkretnego użycia SAMEE w narzędziu Enterprise Architect został zamieszczony w opracowaniu. W artykule opisano również potencjalne kierunki rozwoju metody (np. zastosowanie szerszej bazy typów artefaktów analitycznych, czy wykorzystanie innego, bardziej złożonego, nieliniowego modelu estymacji).
Źródło:
Theoretical and Applied Informatics; 2013, 25, 1; 3-15
1896-5334
Pojawia się w:
Theoretical and Applied Informatics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fast one-cycle frequency estimation of a single sinusoid in noise using downsampled linear prediction model
Autorzy:
Duda, Krzysztof
Zieliński, Tomasz P.
Powiązania:
https://bibliotekanauki.pl/articles/2052172.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
frequency estimation
linear prediction
Prony method
smart DFT
Opis:
A new solution to the problem of frequency estimation of a single sinusoid embedded in the white Gaussian noise is presented. It exploits, approximately, only one signal cycle, and is based on the well-known 2nd order autoregressive difference equation into which a downsampling is introduced. The proposed method is a generalization of the linear prediction based Prony method for the case of a single undamped sinusoid. It is shown that, thanks to the proposed downsampling in the linear prediction signal model, the overall variance of the least squares solution of frequency estimation is decreased, when compared to the Prony method, and locally it is even close to the Cramér-Rao Lower Bound, which is a significant improvement. The frequency estimation variance of the proposed solution is comparable with, computationally more complex, the Matrix Pencil and the Steiglitz-McBride methods. It is shown that application of the proposed downsampling to the popular smart DFT frequency estimation method also significantly reduces the method variance and makes it even better than the least squares smart DFT. The noise immunity of the proposed solution is achieved simultaneously with the reduction of computational complexity at the cost of narrowing the range of measured frequencies, i.e. a sinusoidal signal must be sufficiently oversampled to apply the proposed downsampling in the autoregressive model. The case of 64 samples per period with downsampling up to 16, i.e. 1/4th of the cycle, is presented in detail, but other sampling scenarios, from 16 to 512 samples per period, are considered as well.
Źródło:
Metrology and Measurement Systems; 2021, 28, 4; 661-672
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Consensus as a tool supporting customer behaviour prediction in Social CRM systems
Autorzy:
Czyszczoń, A.
Zgrzywa, A.
Powiązania:
https://bibliotekanauki.pl/articles/305240.pdf
Data publikacji:
2012
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
CRM
Social CRM
consensus method
customer behaviour
behaviour prediction
Opis:
Social Customer Relationship Management systems represent a new area in the field of CRM which together with rapid development of Social Networks and Social Media has acquired strategic importance for many companies. As a response to ongoing challenges related to growing customer expectations, in this paper we present intelligent tools for customer behaviour prediction in Social CRM systems. The use of the consensus approach is aimed at resolving contradictory forecasts of customer behaviour provided by different agents working as independent Artificial Neural Networks systems. The goal of the presented tool is to improve prediction functionality of customer behaviour.
Źródło:
Computer Science; 2012, 13 (4); 133-146
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predicting access to materialized methods by means of hidden Markov model
Autorzy:
Masewicz, M.
Andrzejewski, W.
Wrembel, W.
Królikowski, Z.
Powiązania:
https://bibliotekanauki.pl/articles/970822.pdf
Data publikacji:
2009
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
method materialization
hierarchical materialization
access prediction
hidden Markov model
Opis:
Method materialization is a promising data access optimization technique for multiple applications, including, in particular object programming languages with persistence, object databases, distributed computing systems, object-relational data warehouses, multimedia data warehouses, and spatial data warehouses. A drawback of this technique is that the value of a materialized method becomes invalid when an object used for computing the value of the method is updated. As a consequence, a materialized value of the method has to be recomputed. The materialized value can be recomputed either immediately after updating the object or just before calling the method. The moment the method is recomputed bears a strong impact on the overall system performance. In this paper we propose a technique of predicting access to materialized methods and objects, for the purpose of selecting the most appropriate recomputation technique. The prediction technique is based on the Hidden Markov Model (HMM). The prediction technique was implemented and evaluated experimentally. Its performance characteristics were compared to: immediate recomputation, deferred recomputation, random recomputation, and to our previous prediction technique, called a PMAP.
Źródło:
Control and Cybernetics; 2009, 38, 1; 127-152
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Life Prediction Mechanism of Ladle Composite Structure Body Based on Simulation Technology
Autorzy:
Li, Gongfa
Jiang, Du
Sun, Ying
Jiang, Guozhang
Tao, Bo
Powiązania:
https://bibliotekanauki.pl/articles/353596.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
ladle life prediction
initiative maintenance
crack propagation
thermal shock method
Opis:
Ladle plays an important role in the metallurgical industry whose maintenance directly affects the production efficiency of enterprises. In view of the problems such as low maintenance efficiency and untimely maintenance in the current ladle passive maintenance scheme, the life prediction mechanism for ladle composite structures is established which bases on the stress analysis of steel shell and ladle lining in the production process, combining conventional fatigue analysis and extended fracture theory. The mechanism is accurate and effective according to the simulation results. Through which, the useful life of steel shell can be accurately predicted by detecting the crack length of it. Due to the large number of factors affecting the life of the lining of the ladle, it is difficult to accurately predict the life of the ladle lining, so a forecasting mean based on the thermal shock method is proposed to predict the service life of the ladle lining in this paper. The life prediction mechanism can provide data support and theoretical guidance for the active maintenance of the ladle, which is the prerequisite for scientifically formulating ladle initiative maintenance program.
Źródło:
Archives of Metallurgy and Materials; 2019, 64, 4; 1555-1562
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improving national strategic foresight with the use of forecasting tournaments and its implications for the study of international relations
Autorzy:
Kleňha, Jan
Powiązania:
https://bibliotekanauki.pl/articles/31343765.pdf
Data publikacji:
2023-07-26
Wydawca:
Uniwersytet Warszawski. Wydział Nauk Politycznych i Studiów Międzynarodowych
Tematy:
national strategy
foresight
forecasting tournament
Delphi method
deliberation
prediction
consensus
Opis:
Improving national strategic foresight can help the formation of more robust and informed policies, including foreign policy. Predicated upon the theory behind peer-prediction elicitation methods such as Reciprocal Scoring, we combined two foresight methods - Forecasting tournaments and a Delphi method - into a design in which a forecasting tournament predicted the results of a Delphi. Experts in a Delphi could take into account the arguments of participants from a prior forecasting tournament and thus make better-informed decisions. This methodological article aims to validate the feasibility of this design. It describes how we implemented it for identifying and prioritizing global megatrends as part of a strategic foresight project for the Czech government. We found this design practically applicable, while the forecasting tournament also seems to improve the ability of participants to predict a group consensus. Similar combinations of foresight methods could be used to enhance the study of international relations.
Źródło:
Stosunki Międzynarodowe - International Relations; 2021, 57; 71-92
0209-0961
Pojawia się w:
Stosunki Międzynarodowe - International Relations
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An advanced ensemble modeling approach for predicting carbonate reservoir porosity from seismic attributes
Autorzy:
Topór, Tomasz
Sowiżdżał, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/27310145.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
machine learning
model stacking
ensemble method
carbonates
seismic attributes
porosity prediction
Opis:
This study uses a machine learning (ML) ensemble modeling approach to predict porosity from multiple seismic attributes in one of the most promising Main Dolomite hydrocarbon reservoirs in NW Poland. The presented workflow tests five different model types of varying complexity: K-nearest neighbors (KNN), random forests (RF), extreme gradient boosting (XGB), support vector machine (SVM), single layer neural network with multilayer perceptron (MLP). The selected models are additionally run with different configurations originating from the pre-processing stage, including Yeo–Johnson transformation (YJ) and principal component analysis (PCA). The race ANOVA method across resample data is used to tune the best hyperparameters for each model. The model candidates and the role of different pre-processors are evaluated based on standard ML metrics – coefficient of determination (R2), root mean squared error (RMSE), and mean absolute error (MAE). The model stacking is performed on five model candidates: two KNN, two XGB, and one SVM PCA with a marginal role. The results of the ensemble model showed superior accuracy over single learners, with all metrics (R2 0.890, RMSE 0.0252, MAE 0.168). It also turned out to be almost three times better than the neural net (NN) results obtained from commercial software on the same testing set (R2 0.318, RMSE 0.0628, MAE 0.0487). The spatial distribution of porosity from the ensemble model indicated areas of good reservoir properties that overlap with hydrocarbon production fields. This observation completes the evaluation of the ensemble technique results from model metrics. Overall, the proposed solution is a promising tool for better porosity prediction and understanding of heterogeneous carbonate reservoirs from multiple seismic attributes.
Źródło:
Geology, Geophysics and Environment; 2023, 49, 3; 245--260
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of mortality rates in heart failure patients with data mining methods
Autorzy:
Bohacik, J.
Kambhampati, C.
Davis, D. N.
Cleland, J. G. F.
Powiązania:
https://bibliotekanauki.pl/articles/908867.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
heart failure
data mining
prediction of mortality rates
home telemonitoring
Bayesian network method
decision tree method
neural network method
nearest neighbour method
Opis:
Heart failure is one of the severe diseases which menace the human health and affect millions of people. Half of all patients diagnosed with heart failure die within four years. For the purpose of avoiding life-threatening situations and minimizing the costs, it is important to predict mortality rates of heart failure patients. As part of a HEIF-5 project, a data mining study was conducted aiming specifically at extracting new knowledge from a group of patients suffering from heart failure and using it for prediction of mortality rates. The methodology of knowledge discovery in databases is analyzed within the framework of home telemonitoring. Several data mining methods such as a Bayesian network method, a decision tree method, a neural network method and a nearest neighbour method are employed. The accuracy for the data mining methods from the point of view of avoiding life-threatening situations and minimizing the costs is discussed. It seems that the decision tree method achieves the best accuracy results and is also interpretable for the clinicians.
Źródło:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2013, 13, 1; 7-16
1732-1360
2083-3628
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Prognostic Model of Diesel Fuel Consumption for Railbuses
Autorzy:
Dziaduch, Izabela
Powiązania:
https://bibliotekanauki.pl/articles/504671.pdf
Data publikacji:
2017
Wydawca:
Międzynarodowa Wyższa Szkoła Logistyki i Transportu
Tematy:
prediction of diesel fuel consumption
indicators method case study
dual mode railbus
Opis:
In this article, the model for prediction of diesel fuel consumption by railbuses is presented. In order to create the model, the results of measurements of the average fuel consumption of eight dual mode railbuses of type X (manufactured by the same producer) are used. The usefulness of the indicators method in additive and multiplicative version is assessed. For both models, the percentage share of the trend, seasonality, and irregular (random) components are analysed and the results for the multiplicative version are given.
Źródło:
Logistics and Transport; 2017, 36, 4; 57-62
1734-2015
Pojawia się w:
Logistics and Transport
Dostawca treści:
Biblioteka Nauki
Artykuł

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