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 "Studzinski, J." wg kryterium: Autor

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-8 z 8
    Tytuł:
    ICS System Supporting the Water Networks Management by Means of Mathematical Modelling and Optimization Algorithms
    Autorzy:
    Studzinski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/385196.pdf
    Data publikacji:
    2015
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    drink water distribution system
    water net hydraulic model
    hydraulic optimization
    water net management
    Opis:
    In the/this paper a concept of an integrated information system for complex management of water networks is presented. The ICT system is under development at the Systems Research Institute (IBS PAN) in Warsaw for a couple of years and it is gradually tested in some Polish communal waterworks of differentiated size. Several waterworks management tasks requiring mathematical modelling, optimization and approximation algorithms can be solved using this system. Static optimization and multi-criteria algorithms are used for solving more complicated tasks like calibration of the water net hydraulic model, water net optimization and planning, control of pumps in the water net pump stations etc. [4] But some of the management tasks are simpler and can be performed by means of repetitive simulation runs of the water net hydraulic model. The water net simulation, planning of the SCADA system, calculation of water age and chlorine concentration in the water net, localization of hidden water leaks occurring in the network and planning of water net revitalization works are the examples of such tasks executed by the ICT system. They are described in this paper.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 4; 48-54
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis, Modelling and Planning the Communal Sewarage Systems
    Autorzy:
    Studziński, J.
    Petriczek, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/384897.pdf
    Data publikacji:
    2016
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    drink water networks
    hydraulic water nets modeling
    water net revitalization
    water net reliability
    Opis:
    The hydraulic calculations of sewage networks are done ususally by the use of nomograms being the diagrams that show the relation between the main network parameters like pipe diameters, flow rates, hydraulic slopes and flow velocities. In traditional planning of sewage networks the appropriate hydraulic values are read mechanically from the the nomograms. Another way of calculation is the use of professional programs like the SWMM5 hydraulic model and genetic or heuristic optimization algorithms. In the paper still another way of realizing the hydraulic and planning calculations is presented in which the basic hydraulic rules and formulas describing the sewage networks and their functioning are used. The numerical solutions of nonlinear equations resulted from the formulas and describing the main phenomena of sewage flows are used in the paper to solve the tasks of hydraulic calculation and planing of the networks.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2016, 10, 4; 53-61
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Failures location within water-supply systems by means of neural networks
    Autorzy:
    Rojek, I.
    Studziński, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/385212.pdf
    Data publikacji:
    2014
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    water supply networks
    network hydraulic
    model, detection and location of water leakages
    neural networks
    Opis:
    In the article the neural networks used for failures location for water supply networks are presented. To do this a hydraulic model of the water net, as well as an appropriate developed monitoring system have to be used. The current applications of monitoring systems installed in the waterworks do not realize their possibilities. The monitoring systems provided as autonomic programs to collect and record the information about flows and pressures of water in source pumping stations, in the pump stations bringing up the water pressure inside the water net and in the pipes of water supply network give a general knowledge about state of its work, but if they would be used as elements of IT systems supporting the water network management, they could help to solve the tasks concerning detection and localization of water leaks. The models of failures location in water nets described in the paper are created by means of neural networks in the form of MLP nets.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 2; 24-28
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Computer Dynamic Modelling of Communal Sewage Networks
    Autorzy:
    Bogdan, L.,
    Petriczek, G.
    Studziński, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/384831.pdf
    Data publikacji:
    2014
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    command sewage network
    flow computer modelling
    Manning formula
    Opis:
    In the paper two algorithms of dynamic modeling of communal sewage networks are presented. It is assumed that the hydraulic parameters of segments, namely canal shape, canal dimension and roughness are constant. The goal of the algorithms is to calculate the main sewage network parameters using only the continuity equation and the Manning formula. In the algorithms, fundamental algebraic formulas describing the filling heights in the canals and the sewage flow velocities are also used. The network model based only on the Manning formula and continuity equation in difference form and not on the liquid equations as it is used commonly by modelling the sewage networks is simpler and faster in calculations. While modeling the networks fixed network structure and slowly changing sewage inflows into the canals are assumed. The forecasted inflow values are stated and the investigation presented concerns the sanitary and mixed gravitational sewage networks.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 4; 51-58
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Mathematical modeling and computer aided planning of communal sewage networks
    Autorzy:
    Bogdan, L.
    Petriczek, G.
    Studziński, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/384901.pdf
    Data publikacji:
    2014
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    mathematical modeling of sewage network
    hydraulic parameter of canal
    Opis:
    In the paper the basic questions connected with modeling of wastewater networks are presented. Methods of modeling basic sewage parameters and appropriate calculation algorithms are described. The problem concerns the gravitational networks divided by nodes into branches and sectors. The nodes are the points of connection of several network segments or branches or the points of changing network parameters as well as of location of sewage inflows to the network. The presented algorithms for networks hydraulic calculation concern sanitary or combined sewage nets. It is assumed that the segments parameters such as shape, canal dimension, bottom slope or roughness are constant. Because of these assumptions all relations considered concern the steady state conditions for the network. The calculation of flow velocities and the filling heights in the segments of the wastewater net are carried out for the known slopes and diameters of the canals.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 2; 17-23
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modelling the steady state of sewage networks as a support tool for their planning and analysis
    Autorzy:
    Petriczek, G.
    Studziński, J.
    Bogdan, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/406617.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    hydraulic formulas for describing sewage networks
    mathematical modeling
    optimization and design of sewage networks
    Opis:
    Fundamental questions connected with the modelling of communal sewage networks have been considered and formulas used to model the functioning of the basic network have been analyzed. The problem described concerns gravitational sewage networks divided by nodes into branches and sectors. Simulation of the steady state functioning of sewage networks is commonly carried out on the basis of nomograms in the form of charts, in which the relations between network parameters like channel diameters, flow rates, hydraulic slopes and flow velocities are described. In traditional design, the values of such parameters are simply read from such nomogram chart tables. Another way of simulating the functioning of a network is the use of professional software, like SWMM, that models sewage flows along the channels by means of differential equations describing the movement of fluids. In both approaches, the user is a mechanical operator of a “black box” procedure. In this paper, another way of simulating the functioning of sewage net-works has been presented. Numerical solutions of nonlinear equations describing the physical phenomena of sewage flows are applied and explained. The presented algorithms were developed to model the steady state of a sewage network enabling a quick analysis of the network parameters and the possibility of fast, simple and comprehensible network modeling and design.
    Źródło:
    Operations Research and Decisions; 2015, 25, 3; 39-57
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluation of the impact of explanatory variables on the accuracy of prediction of daily inflow to the sewage treatment plant by selected models nonlinear
    Ocena wpływu zmiennych objaśniających na dokładność predykcji dobowego dopływu do oczyszczalni ścieków wybranymi modelami nieliniowymi
    Autorzy:
    Szeląg, B.
    Bartkiewicz, L.
    Studziński, J.
    Barbusiński, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/205349.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    wastewater treatment plant
    data mining
    random forest
    forecasting inflow
    k-nearest neighbour
    Kernel regression
    oczyszczalnia ścieków
    wydobywanie danych
    las losowy
    dopływ ścieków
    modelowanie
    k-najbliższy sąsiad
    regresja Kernela
    Opis:
    The aim of the study was to evaluate the possibility of applying different methods of data mining to model the inflow of sewage into the municipal sewage treatment plant. Prediction models were elaborated using methods of support vector machines (SVM), random forests (RF), k-nearest neighbour (k-NN) and of Kernel regression (K). Data consisted of the time series of daily rainfalls, water level measurements in the clarified sewage recipient and the wastewater inflow into the Rzeszow city plant. Results indicate that the best models with one input delayed by 1 day were obtained using the k-NN method while the worst with the K method. For the models with two input variables and one explanatory one the smallest errors were obtained if model inputs were sewage inflow and rainfall data delayed by 1 day and the best fit is provided using RF method while the worst with the K method. In the case of models with three inputs and two explanatory variables, the best results were reported for the SVM and the worst for the K method. In the most of the modelling runs the smallest prediction errors are obtained using the SVM method and the biggest ones with the K method. In the case of the simplest model with one input delayed by 1 day the best results are provided using k-NN method and by the models with two inputs in two modelling runs the RF method appeared as the best.
    Celem pracy jest ocena możliwości zastosowania różnych metod data mining do modelowania dopływu ścieków do komunalnej oczyszczalni ścieków. Do opracowania modeli statystycznych metodą wektorów nośnych, lasów losowych, k – najbliższego sąsiada i regresji Kernela wykorzystano szeregi pomiarowe dobowych wartości opadów deszczu, stanów wody w odbiorniku oraz dopływów do komunalnej oczyszczalni ścieków w Rzeszowie. Z obliczeń wykonanych metodami SVM, RF, k-NN i K wynika, że dla modeli z jedną zmienną objaśniającą opóźnioną o dobę w stosunku do wartości dopływu, najlepsze wyniki otrzymano modelem autoregresyjnym bazującym na metodzie k-NN a najgorsze regresją Kernela. W przypadku modeli z dwoma zmiennymi objaśniającymi najmniejsze wartości błędów uzyskano, dla modeli uwzględniających dopływ ścieków i całkowitą wysokość opadu deszczu z jednodobowym opóźnieniem; najlepsze wyniki uzyskano metodą RF a najgorsze regresji Kernela. Dla modeli z dwiema zmiennymi objaśniającymi, ale trzema sygnałami wejściowymi, najmniejsze błędy dopływu ścieków do OŚ uzyskano metodą SVM, a najgorsze regresji Kernela. Z wykonanych symulacji stwierdzono, że w większości przypadków najmniejsze wartości błędów dopływu ścieków do oczyszczalni otrzymano metodą SVM a największe metodą K. W przypadku najprostszego modelu z jednym sygnałem wejściowym opóźnionym o 1 dobę najlepsze wyniki obliczeń uzyskano metodą k-NN, a w dwóch przypadkach modeli, gdzie ujęto 2 sygnały wejściowe, najlepsza okazała się metoda RF.
    Źródło:
    Archives of Environmental Protection; 2017, 43, 3; 74-81
    2083-4772
    2083-4810
    Pojawia się w:
    Archives of Environmental Protection
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prandial and postprandial exocrine pancreatic secretion after duodenal infusion of alfa-ketoglutarate, formic acid and potassium di-formate in pigs
    Autorzy:
    Filip, R.
    Kruszewska, D.
    Valverde Piedra, J.L.
    Szymanczyk, S.E.
    Studzinski, T.
    Radzki, R.P.
    Bienko, M.
    Pierzynowski, S.G.
    Powiązania:
    https://bibliotekanauki.pl/articles/3153.pdf
    Data publikacji:
    2007
    Wydawca:
    Instytut Medycyny Wsi
    Źródło:
    Journal of Pre-Clinical and Clinical Research; 2007, 01, 1
    1898-2395
    Pojawia się w:
    Journal of Pre-Clinical and Clinical Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

      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