Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Jakub Szyguła"'
Autor:
Dariusz Marek, Marcin Paszkuta, Jakub Szyguła, Piotr Biernacki, Adam Domański, Marta Szczygieł, Marcel Król, Konrad Wojciechowski
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3703 (2024)
In the swiftly advancing field of swarm robotics and unmanned aerial vehicles, precise and effective testing methods are essential. This article explores the crucial role of software-in-the-loop (SITL) simulations in developing, testing, and validati
Externí odkaz:
https://doaj.org/article/e85942738000492f9607bb7ee52dc66e
Autor:
Dariusz Marek, Adam Domański, Joanna Domańska, Jakub Szyguła, Tadeusz Czachórski, Jerzy Klamka, Katarzyna Filus
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 70, Iss 4 (2022)
The article proposes a model in which Diffusion Approximation is used to analyse the TCP/AQM transmission mechanism in a multinode computer network. In order to prevent traffic congestion, routers implement AQM (Active Queue Management) algorithms. W
Externí odkaz:
https://doaj.org/article/74ead2e1cee54ec19785541d1220024c
Autor:
Dariusz Marek, Jakub Szyguła, Adam Domański, Joanna Domańska, Katarzyna Filus, Marta Szczygieł
Publikováno v:
Entropy, Vol 24, Iss 3, p 418 (2022)
An Active Queue Management (AQM) mechanism, recommended by the Internet Engineering Task Force (IETF), increases the efficiency of network transmission. An example of this type of algorithm can be the Random Early Detection (RED) algorithm. The behav
Externí odkaz:
https://doaj.org/article/f10c68c6c9d34ca984fc95b3eef3fb12
Publikováno v:
Sensors, Vol 21, Iss 15, p 4979 (2021)
The paper examines the AQM mechanism based on neural networks. The active queue management allows packets to be dropped from the router’s queue before the buffer is full. The aim of the work is to use machine learning to create a model that copies
Externí odkaz:
https://doaj.org/article/f9764d147a2b4d088739d9b6a8425e7d
Autor:
Dariusz Marek, Adam Domański, Joanna Domańska, Jakub Szyguła, Tadeusz Czachórski, Jerzy Klamka
Publikováno v:
Entropy, Vol 23, Iss 5, p 619 (2021)
In this article, a way to employ the diffusion approximation to model interplay between TCP and UDP flows is presented. In order to control traffic congestion, an environment of IP routers applying AQM (Active Queue Management) algorithms has been in
Externí odkaz:
https://doaj.org/article/2b3ad380a66844a6b758d2c2e9f04e22
Autor:
Adrian Czajkowski, Leszek Remiorz, Sebastian Pawlak, Eryk Remiorz, Jakub Szyguła, Dariusz Marek, Marcin Paszkuta, Gabriel Drabik, Grzegorz Baron, Jarosław Paduch, Oleg Antemijczuk
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 4081 (2021)
The present paper describes the problem and effects of water scarcity and the possibility of rational use of this resource in the idea of a Circular Economy (CE) and sustainable development. Rational water management requires innovation, due to the g
Externí odkaz:
https://doaj.org/article/69b9dd7b4e9f448aba26647f60d4766a
Publikováno v:
Entropy, Vol 22, Iss 10, p 1159 (2020)
The paper examines the ability of neural networks to classify Internet traffic data in terms of self-similarity expressed by the Hurst exponent. Fractional Gaussian noise is used for the generation of synthetic data for modeling the genuine ones. It
Externí odkaz:
https://doaj.org/article/621d4838697f4321a56dc22ebca4540e
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3727 (2020)
Markov queueing models are a powerful tool to evaluate the performance of computer networks and have been used in telecommunication studies for over 100 years. To apply them to the evaluation of the modern Internet, we should not only adapt them to t
Externí odkaz:
https://doaj.org/article/bf0980b018794f4bb98d5f63a4adcb5e
Autor:
Jakub Szyguła, Jerzy Klamka, Tadeusz Czachórski, Dariusz Marek, Adam Domański, Joanna Domańska
Publikováno v:
Computer Communications. 166:40-48
The article introduces an approach combining diffusion approximation and simulation ones. Furthermore, it describes how it can be used to evaluate active queue management (AQM) mechanisms. Based on the obtained queue distributions, the simulation par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::945976bcc30181576bd7a344b6767299
https://doi.org/10.1016/j.comcom.2020.11.014
https://doi.org/10.1016/j.comcom.2020.11.014
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 15
Sensors, Vol 21, Iss 4979, p 4979 (2021)
Sensors
Volume 21
Issue 15
Sensors, Vol 21, Iss 4979, p 4979 (2021)
The paper examines the AQM mechanism based on neural networks. The active queue management allows packets to be dropped from the router’s queue before the buffer is full. The aim of the work is to use machine learning to create a model that copies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02fb6d5ad93f93e2884d4c9688a69973
http://europepmc.org/articles/PMC8347610
http://europepmc.org/articles/PMC8347610