Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Dariusz Mika"'
Autor:
Graheeth Hazare, Mohamed Thariq Hameed Sultan, Dariusz Mika, Farah Syazwani Shahar, Grzegorz Skorulski, Marek Nowakowski, Andriy Holovatyy, Ile Mircheski, Wojciech Giernacki
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8265 (2024)
This study introduces a novel methodology for enhancing the efficiency of solar-powered unmanned aerial vehicles (UAVs) through azimuthal solar synchronization and aerodynamic neuro-optimization, leveraging the principles of slime mold neural network
Externí odkaz:
https://doaj.org/article/3e9eea2b0fca4789929d1333113ecdfe
Autor:
Dariusz Mika
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract This paper proposes a new gradient-descent algorithm for complex independent component analysis and presents its application to the Multiple-Input Multiple-Output communication systems. Algorithm uses the Lie structure of optimization landsc
Externí odkaz:
https://doaj.org/article/1fab3fb9ed144e9587ef3f9d20ce87fb
Autor:
Dariusz Mika, Jerzy Józwik
Publikováno v:
Advances in Sciences and Technology, Vol 12, Iss 1, Pp 251-259 (2018)
The most commonly used time-frequency representation of the analysis in voice signal is spectrogram. This representation belongs in general to Cohen's class, the class of time-frequency energy distributions. From the standpoint of properties of the r
Externí odkaz:
https://doaj.org/article/8e0c6b689ba648918c1ca7e1db186962
Publikováno v:
Advances in Sciences and Technology, Vol 10, Iss 32, Pp 86-96 (2016)
Apart from accuracy, one of the parameters describing industrial robots is positioning accuracy. The parameter in question, which is the subject of this paper, is often the decisive factor determining whether to apply a given robot to perform certain
Externí odkaz:
https://doaj.org/article/0a80a24649024c68925b149771720263
Autor:
Magdalena Zawada-Michałowska, Jerzy Józwik, Stanisław Legutko, Dariusz Mika, Paweł Pieśko, Jarosław Pytka
Publikováno v:
Materials, Vol 13, Iss 24, p 5725 (2020)
This paper presents the analysis of cutting force during surface layer milling of selected aluminium alloys, which are widely used in the aviation industry. The cutting force is one of the most important parameters determining the machinability of th
Externí odkaz:
https://doaj.org/article/c00b52e66031411083060d6d80fd7eb9
Autor:
Dariusz Mika, Jerzy Józwik
Publikováno v:
Advances in Sciences and Technology, Vol 10, Iss 30, Pp 138-143 (2016)
Minimisation of noise at a workstation is among fundamental tasks for maintaining safety at work, both in terms of health (the auditory system in particular) as well as work comfort. Thus, it is very important to systematically monitor noise levels b
Externí odkaz:
https://doaj.org/article/c03999933a8a40d985fff6b4c4c3c198
Publikováno v:
Sensors, Vol 20, Iss 7, p 2019 (2020)
This paper relates to the separation of single channel source signals from a single mixed signal by means of independent component analysis (ICA). The proposed idea lies in a time-frequency representation of the mixed signal and the use of ICA on spe
Externí odkaz:
https://doaj.org/article/b0df1aa80bff45e78968dc2a7974f29b
Autor:
Dariusz Mika, Jerzy Jozwik
Publikováno v:
Sensors, Vol 20, Iss 2, p 440 (2020)
This paper deals with the use of Lie group methods to solve optimization problems in blind signal processing (BSP), including Independent Component Analysis (ICA) and Independent Subspace Analysis (ISA). The paper presents the theoretical fundamental
Externí odkaz:
https://doaj.org/article/fcfc68bad93a4edfbaef0b3e1f967bc0
Autor:
Jerzy Józwik, Dariusz Mika
Publikováno v:
Advances in Sciences and Technology, Vol 9, Iss 26, Pp 57-65 (2015)
The paper presents functional relationships between surface geometry parameters, feed and vibrations level in the radial direction of the workpiece. Time characteristics of the acceleration of cutting tool vibration registered during C45 steel and st
Externí odkaz:
https://doaj.org/article/cbefa02db18c4a859ff51dddaa49e847
Autor:
Dariusz Mika
Publikováno v:
Mechanical Systems and Signal Processing. 178:109266