Informacja

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

Wyszukujesz frazę "Predictive" wg kryterium: Temat


Tytuł:
Modelowanie symulacyjne zmian zawartości chloru w wodzie wodociągowej w warunkach eksploatacyjnych wybranego systemu dystrybucji
Simulation modeling of chlorine content variation in water for different operating conditions of the water distribution system
Autorzy:
Zimoch, Izabela
Bartkiewicz, Ewelina
Powiązania:
https://bibliotekanauki.pl/articles/236756.pdf
Data publikacji:
2019
Wydawca:
Polskie Zrzeszenie Inżynierów i Techników Sanitarnych
Tematy:
system zaopatrzenia w wodę
sieć wodociągowa
jakość wody
dezynfekcja wody
chlor pozostały
model symulacyjny jakości wody
statystyczny model predykcyjny
water supply system
water pipe network
water quality
water disinfection
free residual chlorine
water quality simulation model
predictive statistical model
Opis:
Modele symulacyjne (Epanet, Piccolo, Mike Net, WaterCad) są powszechnymi narzędziami analitycznymi, które umożliwiają badania różnych scenariuszy eksploatacyjnych systemów zaopatrzenia w wodę. Są one wykorzystywane między innymi do szacowania wartości parametrów hydraulicznych pracy sieci wodociągowej w zmiennych stanach zapotrzebowania na wodę. Modele hydrauliczne są również używane do modelowania zmian jakości wody, których zakres w dużej mierze zależy od warunków hydraulicznych pracy systemu wodociągowego. W artykule przedstawiono wyniki symulacji zaniku chloru według trzech scenariuszy pracy systemu zaopatrzenia w wodę, obejmujących minimalne, średnie i maksymalne zapotrzebowanie na wodę w 2017 r. Wyniki symulacji wykorzystano do zbudowania statystycznego modelu zmian zawartości chloru wolnego w wodzie wodociągowej, biorąc pod uwagę odległość od punktu wprowadzenia chloru, prędkość przepływu wody i szybkość zaniku chloru w strumieniu transportowanej wody. Zbudowany model wykazał, że warunki hydrauliczne pracy systemu wodociągowego miały duży wpływ na jakość transportowanej wody, podczas gdy wpływ współczynnika zaniku chloru był zdecydowanie mniejszy. Stwierdzono, że korzystne warunki hydrauliczne, z uwagi na jakość wody wodociągowej, wystąpiły przy przepływie wody w sieci z prędkością powyżej 0,5 m/s.
Simulation models (Epanet, Piccolo, Mike Net, WaterCad) are common analytical tools employed to evaluate various operational scenarios of water supply systems. Their use includes estimating hydraulic conditions for variable water demand in water pipe networks. Hydraulic models are also used to design changes in water quality, the scope of which largely depends on hydraulic conditions of water supplies. The paper presents the simulation results of free residual chlorine decay according to three operational scenarios for the water supply system, including minimum, medium, and maximum water demand from year 2017. The results were used to build a statistical model of free residual chlorine concentration changes in water, considering the distance from the disinfectant dosing point, water flow velocity, and bulk chlorine decay rate. According to the constructed model, hydraulic conditions had a major impact on quality of the supplied water, while the free residual chlorine decay factor proved less significant. Favorable conditions with respect to tap water quality were noted for the water flow velocity above 0.5 m/s.
Źródło:
Ochrona Środowiska; 2019, 41, 1; 17-22
1230-6169
Pojawia się w:
Ochrona Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stair-like multivariable generalized predictive control of pulverizing system in thermal power plants
Autorzy:
Zhang, Jiansheng
Zhang, Gang
Gao, Yaokui
Hu, Yong
Powiązania:
https://bibliotekanauki.pl/articles/136266.pdf
Data publikacji:
2019
Wydawca:
EEEIC International Barbara Leonowicz Szabłowska
Tematy:
power plants
predictive Control
pulverization process
Opis:
Pulverizing system is an important part in the clean and efficient utilization of coal in thermal power plant, and the optimal control of the system is an important way to achieve this goal. This paper presents a stair-like multivariable generalized predictive control scheme for a pulverizing system. This control scheme focuses on the problem of predictive control algorithm in practical application, and integrates the feedforward experience in traditional control schemes of pulverizing system. Simulation results showed that the scheme are able to realize the decoupling control of the pulverizing system, avoid the problem of matrix inversion, reduce the amount of calculation, and has certain engineering application value.
Źródło:
Transactions on Environment and Electrical Engineering; 2019, 3, 1; 21-25
2450-5730
Pojawia się w:
Transactions on Environment and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of a Machine Learning Based Predictive Analytics System for Spam Problem
Autorzy:
Yüksel, A.
Çankaya, Ş.
Üncü, İ.
Powiązania:
https://bibliotekanauki.pl/articles/1031624.pdf
Data publikacji:
2017-09
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
spam
predictive analytics
machine learning
trust identities
Opis:
Spamming is the act of abusing an electronic messaging system by sending unsolicited bulk messages. Filtering of these messages is merely another line of defence and does not prevent spam messages from circulating in email systems. This problem causes users to distrust email systems, suspect even legitimate emails and leads to substantial investment in technologies to counter the spam problem. Spammers threaten users by abusing the lack of accountability and verification features of communicating entities. To contribute to the fight against spamming, a cloud-based system that analyses the email server logs and uses predictive analytics with machine learning to build trust identities that model the email messaging behavior of spamming and legitimate servers has been designed. The system constructs trust models for servers, updating them regularly to tune the models. This study proposed that this approach will not only minimize the circulation of spam in email messaging systems, but will also be a novel step in the direction of trust identities and accountability in email infrastructure.
Źródło:
Acta Physica Polonica A; 2017, 132, 3; 500-504
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Adaptive Predictive Control of a Distillation Column
Autorzy:
Yoon, T. W.
Yang, D. R.
Lee, K. S.
Kwon, Y. M.
Powiązania:
https://bibliotekanauki.pl/articles/908309.pdf
Data publikacji:
1999
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
adaptacyjny układ sterowania
sterownik predykcyjny
adaptive control
multivariable predictive controller
distillation column
Opis:
Distillation processes reveal complicated multivariable nonlinear dynamics for which it is difficult to design a high-performance control system. This paper proposes an adaptive control scheme for a distillation column. The proposed adaptive system consists of a multivariable receding-horizon predictive controller using a transfer function model and a recursive least-squares (RLS) based estimator. Simulations show a consistent closed-loop performance despite the uncertain nonlinear characteristics of the distillation column.
Źródło:
International Journal of Applied Mathematics and Computer Science; 1999, 9, 1; 193-206
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Bayesian Small Area Model with Dirichlet Processes on the Responses
Autorzy:
Yin, Jiani
Nandram, Balgobin
Powiązania:
https://bibliotekanauki.pl/articles/1058988.pdf
Data publikacji:
2020-09-04
Wydawca:
Główny Urząd Statystyczny
Tematy:
Bayesian computation
bootstrap
predictive inference
robust modeling
computational and model diagnostics
survey data
Opis:
Typically survey data have responses with gaps, outliers and ties, and the distributions of the responses might be skewed. Usually, in small area estimation, predictive inference is done using a two-stage Bayesian model with normality at both levels (responses and area means). This is the Scott-Smith (S-S) model and it may not be robust against these features. Another model that can be used to provide a more robust structure is the two-stage Dirichlet process mixture (DPM) model, which has independent normal distributions on the responses and a single Dirichlet process on the area means. However, this model does not accommodate gaps, outliers and ties in the survey data directly. Because this DPM model has a normal distribution on the responses, it is unlikely to be realized in practice, and this is the problem we tackle in this paper. Therefore, we propose a two-stage non-parametric Bayesian model with several independent Dirichlet processes at the first stage that represents the data, thereby accommodating some of the difficulties with survey data and permitting a more robust predictive inference. This model has a Gaussian (normal) distribution on the area means, and so we call it the DPG model. Therefore, the DPM model and the DPG model are essentially the opposite of each other and they are both different from the S-S model. Among the three models, the DPG model gives us the best head-start to accommodate the features of the survey data. For Bayesian predictive inference, we need to integrate two data sets, one with the responses and other with area sizes. An application on body mass index, which is integrated with census data, and a simulation study are used to compare the three models (S-S, DPM, DPG); we show that the DPG model might be preferred.
Źródło:
Statistics in Transition new series; 2020, 21, 3; 1-19
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fault tolerant control using Gaussian processes and model predictive control
Autorzy:
Yang, X.
Maciejowski, J. M.
Powiązania:
https://bibliotekanauki.pl/articles/330117.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fault tolerant control
Gaussian process
model predictive control
aircraft control
probabilistic modelling
sterowanie tolerujące uszkodzenia
proces gaussowski
sterowanie predykcyjne
sterowanie samolotem
modelowanie probabilistyczne
Opis:
Essential ingredients for fault-tolerant control are the ability to represent system behaviour following the occurrence of a fault, and the ability to exploit this representation for deciding control actions. Gaussian processes seem to be very promising candidates for the first of these, and model predictive control has a proven capability for the second. We therefore propose to use the two together to obtain fault-tolerant control functionality. Our proposal is illustrated by several reasonably realistic examples drawn from flight control.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 1; 133-148
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust MPC for actuator-fault tolerance using set-based passive fault detection and active fault isolation
Autorzy:
Xu, F.
Puig, V.
Ocampo-Martinez, C.
Olaru, S.
Niculescu, S. I.
Powiązania:
https://bibliotekanauki.pl/articles/330788.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fault detection
fault isolation
set theoretic method
fault tolerant control
model predictive control
detekcja uszkodzeń
lokalizacja uszkodzeń
sterowanie tolerujące uszkodzenia
sterowanie predykcyjne
Opis:
In this paper, a fault-tolerant control (FTC) scheme is proposed for actuator faults, which is built upon tube-based model predictive control (MPC) as well as set-based fault detection and isolation (FDI). In the class of MPC techniques, tube-based MPC can effectively deal with system constraints and uncertainties with relatively low computational complexity compared with other robust MPC techniques such as min-max MPC. Set-based FDI, generally considering the worst case of uncertainties, can robustly detect and isolate actuator faults. In the proposed FTC scheme, fault detection (FD) is passive by using invariant sets, while fault isolation (FI) is active by means of MPC and tubes. The active FI method proposed in this paper is implemented by making use of the constraint-handling ability of MPC to manipulate the bounds of inputs. After the system has been detected to become faulty, the input-constraint set of the MPC controller is adjusted to actively excite the system for achieving FI guarantees on-line, where an active FI-oriented input set is designed off-line. In this way, the system can be excited in order to obtain more extra system-operating information for FI than passive FI approaches. Overall, the objective of this paper is to propose an actuator MPC scheme with as little as possible of FI conservatism and computational complexity by combining tube-based MPC and set theory within the framework of MPC, respectively. Finally, a case study is used to show the effectiveness of the proposed FTC scheme.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2017, 27, 1; 43-61
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Elman neural network for modeling and predictive control of delayed dynamic systems
Autorzy:
Wysocki, A.
Ławryńczuk, M.
Powiązania:
https://bibliotekanauki.pl/articles/229646.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
dynamic models
process control
model predictive control
neural networks
Elman neural network
delayed systems
Opis:
The objective of this paper is to present a modified structure and a training algorithm of the recurrent Elman neural network which makes it possible to explicitly take into account the time-delay of the process and a Model Predictive Control (MPC) algorithm for such a network. In MPC the predicted output trajectory is repeatedly linearized on-line along the future input trajectory, which leads to a quadratic optimization problem, nonlinear optimization is not necessary. A strongly nonlinear benchmark process (a simulated neutralization reactor) is considered to show advantages of the modified Elman neural network and the discussed MPC algorithm. The modified neural model is more precise and has a lower number of parameters in comparison with the classical Elman structure. The discussed MPC algorithm with on-line linearization gives similar trajectories as MPC with nonlinear optimization repeated at each sampling instant.
Źródło:
Archives of Control Sciences; 2016, 26, 1; 117-142
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Long-horizon model predictive control of induction motor drive
Autorzy:
Wróbel, Karol Tomasz
Szabat, Krzysztof
Serkies, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/140624.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model predictive control
long horizon
induction motor drive
Opis:
This paper investigates the application of a novel Model Predictive Control struc- ture for the drive system with an induction motor. The proposed controller has a cascade-free structure that consists of a vector of electromagnetics (torque, flux) and mechanical (speed) states of the system. The long-horizon version of the MPC is investigated in the paper. In order to reduce the computational complexity of the algorithm, an explicit version is applied. The influence of different factors (length of the control and predictive horizon, values of weights) on the performance of the drive system is investigated. The effectiveness of the proposed approach is validated by some experimental tests.
Źródło:
Archives of Electrical Engineering; 2019, 68, 3; 579-593
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Finite set model predictive speed control of induction motor with long horizon
Autorzy:
Wróbel, K.
Powiązania:
https://bibliotekanauki.pl/articles/1193210.pdf
Data publikacji:
2016
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
finite control set
predictive control
induction motor
speed control
Opis:
This paper presents predictive speed control of induction motor. The structure with finite control set and long prediction horizon is proposed. In methods with finite set of solutions there is assumed the use of signals that can be obtained in inverter only. Long prediction horizons allow better performance of predictive control structures to be achieved. In this case, long prediction horizon refers to systems with more than one prediction step. The weighting factors determine the properties of control structure via an optimization method using genetic algorithms. The results of simulation studies has been presented.
Źródło:
Power Electronics and Drives; 2016, 1, 36/1; 117-126
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive scheduling based on knowledge acquired from frequency of machine work disturbances
Autorzy:
Wosik, I.
Skołud, B.
Powiązania:
https://bibliotekanauki.pl/articles/100063.pdf
Data publikacji:
2011
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
predictive scheduling
reactive scheduling
mathematical statistics
mean time to failure
MTTF
Opis:
During execution of a schedule some uncertain events may take place for example: resources may become unavailable, machine can be broken. Uncertainty should be included in the process of job scheduling. In the paper the problem to generate a workable, proactive baseline schedule under production constraints and unexpected event occurrence conditions is considered. The proactive baseline schedule protects against anticipated occurrences that may appear during the schedule execution. The machine breaking time is searched and the information is used to generate a robust schedule. In the paper the method of data acquisition basing on probability theory is proposed. The time of machine breaking is acquired from historical data of frequency of machine failure. A numerical example of building a hypothesis H:{the cumulative distribution function of the failure time is a normal distribution}, verification of the hypothesis, and predictive scheduling is presented. The normal distribution is proposed to describe failure time of machine as it gives consideration to a gradual wear process of the machine. The paper is proposition of improving simulation systems such as the Enterprise Dynamics or Taylor and scheduling systems such as Knowledge based Rescheduling System and Multi Objective Immune Scheduling Algorithm.
Źródło:
Journal of Machine Engineering; 2011, 11, No. 1-2; 54-67
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stanowisko laboratoryjne do badania wielowymiarowych algorytmów regulacji
Laboratory stand for the study of multivariable control algorithms
Autorzy:
Wojtulewicz, A.
Chaber, P.
Ławryńczuk, M.
Powiązania:
https://bibliotekanauki.pl/articles/274995.pdf
Data publikacji:
2015
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
regulacja predykcyjna
procesy wielowymiarowe
systemy wbudowane
mikroprocesory
układy FPGA
predictive control
multiple-input multiple-output processes
embedded systems
microprocessors
FPGAs
Opis:
W pracy opisano projekt i realizację stanowiska laboratoryjnego do testowania algorytmów regulacji. Przedstawiono budowę mechaniczną oraz elektroniczną. Omówiono funkcje programowe umożliwiające sterowanie procesem. Podkreślono uniwersalność stanowiska, która polega na szerokich możliwościach konfiguracji, gdyż można badać prosty proces jednowymiarowy oraz skomplikowane procesy wielowymiarowe. Opisano możliwości zastosowania stanowiska, w szczególności do testowania algorytmów regulacji zaimplementowanych w systemach wbudowanych, wykorzystujących mikroprocesory, układy FPGA oraz sterowniki PLC. Omówiono przykład regulacji procesu za pomocą algorytmu regulacji predykcyjnej zaimplementowanego na mikroprocesorze.
The article describes the design and implementation of a laboratory test-bench which may be used to evaluate control algorithms. Mechanical and electronic details are presented. The software features that allow to control the test-bench are discussed. The test-bench is very flexible since it may be easily configured to act as a single-input single-output process and as a number of complicated multiple-input multiple-output processes. Existing possibilities of development of control algorithms implemented on embedded systems based on microprocessors, FPGAs and PLCs are discussed. Finally, an example implementation of a model predictive control algorithm on a microprocessor is detailed.
Źródło:
Pomiary Automatyka Robotyka; 2015, 19, 4; 15-20
1427-9126
Pojawia się w:
Pomiary Automatyka Robotyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Real-time implementation of multiple model based predictive control strategy to air/fuel ratio of a gasoline engine
Autorzy:
Wojnar, S
Polóni, T
Šimončič, P
Rohal’-Ilkiv, B
Honek, M
Csambál, J
Powiązania:
https://bibliotekanauki.pl/articles/229632.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model predictive control
multiple models
air/fuel ratio
spark ignition engine
ARX models
Opis:
Growing safety, pollution and comfort requirements influence automotive industry ever more. The use of three-way catalysts in exhaust aftertreatment systems of combustion engines is essential in reducing engine emissions to levels demanded by environmental legislation. However, the key to the optimal catalytic conversion level is to keep the engine air/fuel ratio (AFR) at a desired level. Thus, for this purposes more and more sophisticated AFR control algorithms are intensively investigated and tested in the literature. The goal of this paper is to present for a case of a gasoline engine the model predictive AFR controller based on the multiple-model approach to the engine modeling. The idea is to identify the engine in particular working points and then to create a global engine's model using Sugeno fuzzy logic. Opposite to traditional control approaches which lose their quality beside steady state, it enables to work with satisfactory quality mainly in transient regimes. Presented results of the multiple-model predictive air/fuel ratio control are acquired from the first experimental real-time implementation on the VW Polo 1390 cm3 gasoline engine, at which the original electronic control unit (ECU) has been fully replaced by a dSpace prototyping system which execute the predictive controller. Required control performance has been proven and is presented in the paper.
Źródło:
Archives of Control Sciences; 2013, 23, 1; 93-106
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Grid Voltages Sensorless Control of the PWM Rectifier with Active Filtering
Autorzy:
Wojciechowski, D.
Powiązania:
https://bibliotekanauki.pl/articles/262568.pdf
Data publikacji:
2006
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie
Tematy:
active filters
power quality
predictive control
estimation
techniques
Opis:
The paper presents structure and experimental results of the control system of the PWM rectifier with active filtering function. Proposed control system was designed for maximum filtering performance in steady state. This task is realized by predictive algorithms applied for both control as well as calculation of grid currents. Accuracy of these algorithms strongly depends on precise information about future samples of equivalent electromotive force of the grid, which is in general distorted and unbalanced. For this purpose, a novel estimator and predictor is proposed. The control of DC voltage is realized with application of variable gain PI controller. It ensures high dynamics in transient states and low gain for steady state oscillations of DC voltage. Proposed control system is AC voltages sensor less and has excellent active filtering performance, even at presence of grid voltage distortions.
Źródło:
Electrical Power Quality and Utilisation. Journal; 2006, 12, 1; 35-43
1896-4672
Pojawia się w:
Electrical Power Quality and Utilisation. Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A robust predictive actuator fault-tolerant control scheme for Takagi-Sugeno fuzzy systems
Autorzy:
Witczak, P.
Witczak, M.
Korbicz, J.
Aubrun, Ch.
Powiązania:
https://bibliotekanauki.pl/articles/199920.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
fault diagnosis
fault identification
robust control
robust invariant set
predictive control
fault-tolerant control
diagnostyka błędu
identyfikacja błędów
diagnostyka predykcyjna
kontrola tolerancji błędu
Opis:
The paper deals with the problem of robust predictive fault-tolerant control for nonlinear discrete-time systems described by the Takagi-Sugeno models. The proposed approach is based on a triple stage procedure, i.e. it starts from fault estimation while the fault is compensated with a robust controller. The robust controller is designed without taking into account the input constraints related with the actuator saturation that may change due to its faulty behaviour. Thus, to check the compensation feasibility, the robust invariant set is developed, which takes into account the input constraints. If the current state does not belong to the robust invariant set, then suitable predictive control actions are performed in order to enhance the invariant set. This appealing phenomenon makes it possible to enlarge the domain of attraction, which makes the proposed approach an efficient solution for the fault-tolerant control. The final part of the paper shows an illustrative example regarding the application of the proposed approach to the twin-rotor system.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2015, 63, 4; 977-987
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł

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