Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Krzysztof Cwalina"'
Autor:
Robert Burczyk, Krzysztof Cwalina, Malgorzata Gajewska, Jaroslaw Magiera, Piotr Rajchowski, Jaroslaw Sadowski, Jacek Stefanski
Publikováno v:
Sensors, Vol 21, Iss 11, p 3890 (2021)
This paper presents an innovative method of locating airplanes, which uses only voice communication between an air traffic controller and the pilot of an aircraft. The proposed method is described in detail along with its practical implementation in
Externí odkaz:
https://doaj.org/article/92b7ad43c83840c5a41ce75f75bdd29b
Autor:
Krzysztof Cwalina
Publikováno v:
PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE. 1:396-401
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 21; Issue 24; Pages: 8234
Sensors, Vol 21, Iss 8234, p 8234 (2021)
Sensors; Volume 21; Issue 24; Pages: 8234
Sensors, Vol 21, Iss 8234, p 8234 (2021)
In the radiocommunication area, we may observe a rapid growth of new technology, such as 5G. Moreover, all the newly introduced radio interfaces, e.g., narrowband Internet of Things (NB-IoT), are strongly dependent on the software. Hence, the radioco
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 22
Sensors, Vol 21, Iss 7716, p 7716 (2021)
Sensors
Volume 21
Issue 22
Sensors, Vol 21, Iss 7716, p 7716 (2021)
Following the continuous development of the information technology, the concept of dense urban networks has evolved as well. The powerful tools, like machine learning, break new ground in smart network and interface design. In this paper the concept
Publikováno v:
2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS).
In the article, the fast fading influence on the proposed DL (Deep Learning) approach for LOS (Line-of-Sight) and NLOS (Non-Line-of-Sight) conditions identification in Wireless Body Area Networks is investigated. The research was conducted on the bas
Publikováno v:
sj-economics scientific journal. 32:84-94
The article presents selected results regarding production costs of milk on farms located in the Ostrołęka poviat. The research was carried out in 150 intentionally selected milk products. The selection of units for research was deliberate. The res
Autor:
Krzysztof Cwalina, Jarosław Magiera, Małgorzata Gajewska, Robert Burczyk, Piotr Rajchowski, Jarosław Sadowski, Jacek Stefański
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 11
Sensors, Vol 21, Iss 3890, p 3890 (2021)
Sensors
Volume 21
Issue 11
Sensors, Vol 21, Iss 3890, p 3890 (2021)
This paper presents an innovative method of locating airplanes, which uses only voice communication between an air traffic controller and the pilot of an aircraft. The proposed method is described in detail along with its practical implementation in
Publikováno v:
2021 15th European Conference on Antennas and Propagation (EuCAP).
The analysis of cross-polarisation discrimination for Body Area Networks in an untypical environment of cylindrical metallic room has been performed in the paper. This analysis was done based on the measurements carried out for dynamic narrowband off
Autor:
Luis M. Correia, Krzysztof Cwalina, Gordana Gardasevic, Konstantinos Katzis, Kenan Turbic, Slawomir J. Ambroziak, Lazar Berbakov, Dragana Bajic, Kamran Sayrafian, Pawel Kulakowski, Concepcion Garcia-Pardo
This chapter summarizes IRACON contributions related to the application of IoT in healthcare. It consists of the following three sections. Section 8.1 presents the measurement campaigns and the related statistical analysis to obtain various channel m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::416a9d288f6ff389a050b5bb24a1b38e
https://doi.org/10.1016/b978-0-12-820581-5.00014-6
https://doi.org/10.1016/b978-0-12-820581-5.00014-6
Publikováno v:
2020 Baltic URSI Symposium (URSI).
Due to confined spaces and various obstacles e.g. walls, furniture, indoor environment may be considered as a harsh and disturbing in terms of the indoor radiocommunication services operation. The given paper presents FNN (Feedforward Neural Network)