Autor: Nowak, Patryk - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Application of an artificial neural network for planning the trajectory of a mobile robot
Autorzy:: Białek, Marcin
Nowak, Patryk
Rybarczyk, Dominik
Powiązania:: https://bibliotekanauki.pl/articles/384525.pdf
Data publikacji:: 2020
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: artificial neural network
mobile robot
machine vision
Opis:: This paper presents application of a neural network in the task of planning a mobile robot trajectory. First part contains a review of literature focused on the mobile robots’ orientation and overview of artificial neural networks’ application in area of robotics. In these sections devices and approaches for collecting data of mobile robots environment have been specified. In addition, the principle of operation and use of artificial neural networks in trajectory planning tasks was also presented. The second part focuses on the mobile robot that was designed in a 3D environment and printed with PLA material. The main onboard logical unit is Arduino Mega. Control system consist of 8-bits microcontrollers and 13 Mpix camera. Discussion in part three describes the system positioning capability using data from the accelerometer and magnetometer with overview of data filtration and the study of the artificial neural network implementation to recognize given trajectories. The last chapter contains a summary with conclusions.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 1; 13-23
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Ogród miejski - wytyczne do modelu przestrzennego
Urban garden - guidelines for a spatial model
Autorzy:: Szewczenko, Anna
Benek, Iwona
Feliszewska, Maria
Kieloch, Anna
Knobloch, Dominik
Kotulek, Martyna
Marzec, Tomasz
Nowak, Aleksandra
Prychodko, Patryk
Zach, Łukasz
Powiązania:: https://bibliotekanauki.pl/articles/2064142.pdf
Data publikacji:: 2022
Wydawca:: PWB MEDIA Zdziebłowski
Tematy:: ogród miejski
rewitalizacja
projektowanie uniwersalne
Zabrze
urban garden
revitalization
universal design
municipal garden
Opis:: Zmiany zachodzące we współczesnych miastach Polski zmuszają do nowego spojrzenia na przestrzeń publiczną. Dlatego warto przyjrzeć się bliżej tematyce projektowania ogrodów miejskich, które odgrywają ważną rolę w kształtowaniu naturalnego kapitału miast, ale również mają istotny wymiar społeczny, związany z zapewnieniem mieszkańcom odpowiedniej jakości życia dotyczącej kontaktu z przyrodą oraz umożliwieniem wielu form wypoczynku, co wpływa na ich zdrowie fizyczne i psychiczne. W artykule przedstawiono badania własne, zrealizowane w ramach udziału w programie: Inicjatywa Doskonałości - Uczelnia Badawcza na Politechnice Śląskiej w Gliwicach, które dotyczą opracowania wytycznych dla ogrodu miejskiego. Głównym celem projektu było opracowanie strategii rewitalizacji fragmentu terenu z Zabrza Maciejowa, zlokalizowanego przy ulicy Tylnej, na potrzeby Miejskiego Ogrodu Społecznego. Projekt miał za zadanie stworzenie prototypu nowego podejścia do kwestii rewitalizacji terenu nieużytku przed podjęciem tematu przez miasto Zabrze.
The changes taking place in contemporary Polish cities force a new look at public space. Therefore it is worthwhile to take a closer look at the subject of designing urban gardens, which play an important role in shaping the natural capital of cities, but also have an important social dimension related to providing residents with an appropriate quality of life associated with contact with nature and enabling many forms of recreation, which affects their physical and mental health. The article presents own research carried out as part of participation in the programme: Initiative of Excellence - Research University at the Silesian University of Technology in Gliwice, which concerns the development of guidelines for an urban garden. The main objective was to develop a strategy for the revitalisation of a fragment of the Zabrze Maciejowa site located at Tylna Street for the purposes of a Municipal Community Garden. The project was to prototype a new approach to the revitalisation of the wasteland before the City of Zabrze took up the subject.
Źródło:: Builder; 2022, 26, 3; 26--29
1896-0642
Pojawia się w:: Builder
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Adsorption chiller in a combined heating and cooling system: simulation and optimization by neural networks
Autorzy:: Krzywanski, Jarosław
Sztekler, Karol
Bugaj, Marcin
Kalawa, Wojciech
Grabowska, Karolina
Chaja, Patryk Robert
Sosnowski, Marcin
Nowak, Wojciech
Mika, Łukasz
Bykuć, Sebastian
Powiązania:: https://bibliotekanauki.pl/articles/2128167.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: adsorption heat pump
polygeneration
cooling capacity
low grade thermal energy
artificial neural networks
soft computing
absorpcyjna pompa ciepła
poligeneracja
wydajność chłodnicza
energia cieplna niskiej jakości
sztuczne sieci neuronowe
przetwarzanie miękkie
Opis:: Adsorption cooling and desalination technologies have recently received more attention. Adsorption chillers, using eco-friendly refrigerants, provide promising abilities for low-grade waste heat recovery and utilization, especially renewable and waste heat of the near ambient temperature. However, due to the low coefficient of performance (COP) and cooling capacity (CC) of the chillers, they have not been widely commercialized. Although operating in combined heating and cooling (HC) systems, adsorption chillers allow more efficient conversion and management of low-grade sources of thermal energy, their operation is still not sufficiently recognized, and the improvement of their performance is still a challenging task. The paper introduces an artificial intelligence (AI) approach for the optimization study of a two-bed adsorption chiller operating in an existing combined HC system, driven by low-temperature heat from cogeneration. Artificial neural networks are employed to develop a model that allows estimating the behavior of the chiller. Two crucial energy efficiency and performance indicators of the adsorption chiller, i.e., CC and the COP, are examined during the study for different operating sceneries and a wide range of operating conditions. Thus this work provides useful guidance for the operating conditions of the adsorption chiller integrated into the HC system. For the considered range of input parameters, the highest CC and COP are equal to 12.7 and 0.65 kW, respectively. The developed model, based on the neurocomputing approach, constitutes an easy-to-use and powerful optimization tool for the adsorption chiller operating in the complex HC system.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e137054, 1--11
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Adsorption chiller in a combined heating and cooling system: simulation and optimization by neural networks
Autorzy:: Krzywanski, Jarosław
Sztekler, Karol
Bugaj, Marcin
Kalawa, Wojciech
Grabowska, Karolina
Chaja, Patryk Robert
Sosnowski, Marcin
Nowak, Wojciech
Mika, Łukasz
Bykuć, Sebastian
Powiązania:: https://bibliotekanauki.pl/articles/2173577.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: adsorption heat pump
polygeneration
cooling capacity
low grade thermal energy
artificial neural networks
soft computing
absorpcyjna pompa ciepła
poligeneracja
wydajność chłodnicza
energia cieplna niskiej jakości
sztuczne sieci neuronowe
przetwarzanie miękkie
Opis:: Adsorption cooling and desalination technologies have recently received more attention. Adsorption chillers, using eco-friendly refrigerants, provide promising abilities for low-grade waste heat recovery and utilization, especially renewable and waste heat of the near ambient temperature. However, due to the low coefficient of performance (COP) and cooling capacity (CC) of the chillers, they have not been widely commercialized. Although operating in combined heating and cooling (HC) systems, adsorption chillers allow more efficient conversion and management of low-grade sources of thermal energy, their operation is still not sufficiently recognized, and the improvement of their performance is still a challenging task. The paper introduces an artificial intelligence (AI) approach for the optimization study of a two-bed adsorption chiller operating in an existing combined HC system, driven by low-temperature heat from cogeneration. Artificial neural networks are employed to develop a model that allows estimating the behavior of the chiller. Two crucial energy efficiency and performance indicators of the adsorption chiller, i.e., CC and the COP, are examined during the study for different operating sceneries and a wide range of operating conditions. Thus this work provides useful guidance for the operating conditions of the adsorption chiller integrated into the HC system. For the considered range of input parameters, the highest CC and COP are equal to 12.7 and 0.65 kW, respectively. The developed model, based on the neurocomputing approach, constitutes an easy-to-use and powerful optimization tool for the adsorption chiller operating in the complex HC system.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e137054
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki