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Prof. Janusz Gajda
Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, 30-059 Krakow, Poland
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Academic Career Length
30Years (1997-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications23 March 2017 in The European Physical Journal A
Journal Article
TAT. Ablyazimov
T. Ablyazimov
AAA. Abuhoza
A. AbuhozaRAR. P. Adak
R. P. Adak
MAM. Adamczyk
M. Adamczyk
KAK. Agarwal
K. AgarwalMZM. Zyzak
M. Zyzak
+578
13 November 2002
Conference Paper
JGJanusz Gajda
Janusz Gajda
Ryszard SrokaMSMarek Stencel
Marek StencelAWA. Wajda
A. Wajda
TZT. Zeglen
T. ZeglenJournal Article
PBPiotr Burnos
Piotr BurnosJGJanusz Gajda
Janusz GajdaSystems which permit the weighing of vehicles in motion are called dynamic Weigh-in-Motion scales. In such systems, axle load sensors are embedded in the pavement. Among the influencing factors that negatively affect weighing accuracy is the pavement temperature. This paper presents a detailed analysis of this phenomenon and describes the properties of polymer, quartz and bending plate load sensors. The studies were conducted in two ways: at roadside Weigh-in-Motion sites and at a laboratory using a climate chamber. For accuracy assessment of roadside systems, the reference vehicle method was used. The pavement temperature influence on the weighing error was experimentally investigated as well as a non-uniform temperature distribution along and across the Weigh-in-Motion site. Tests carried out in the climatic chamber allowed the influence of temperature on the sensor intrinsic error to be determined. The results presented clearly show that all kinds of sensors are temperature sensitive. This is a new finding, as up to now the quartz and bending plate sensors were considered insensitive to this factor.
1 February 2016 in Computers in Biology and Medicine
Journal Article
Journal Article
PBPiotr Burnos
Piotr BurnosJGJanusz Gajda
Janusz GajdaRyszard SrokaMWMonika Wasilewska
Monika Wasilewska
Cezary DołęgaIn many countries, work is being conducted to introduce Weigh-In-Motion (WIM) systems intended for continuous and automatic control of gross vehicle weight. Such systems are also called WIM systems for direct enforcement (e-WIM). The achievement of introducing e-WIM systems is conditional on ensuring constant, known, and high-accuracy dynamic weighing of vehicles. WIM systems weigh moving vehicles, and on this basis, they estimate static parameters, i.e., static axle load and gross vehicle weight. The design and principle of operation of WIM systems result in their high sensitivity to many disturbing factors, including climatic factors. As a result, weighing accuracy fluctuates during system operation, even in the short term. The article presents practical aspects related to the identification of factors disturbing measurement in WIM systems as well as methods of controlling, improving and stabilizing the accuracy of weighing results. Achieving constant high accuracy in weighing vehicles in WIM systems is a prerequisite for their use in the direct enforcement mode. The research results presented in this paper are a step towards this goal.
1 September 2015 in International Journal of Applied Mathematics and Computer Science
Journal Article
DPDaria Panek
Daria PanekASAndrzej Skalski
Andrzej SkalskiJGJanusz Gajda
Janusz Gajda
Ryszard TadeusiewiczAutomatic detection of voice pathologies enables non-invasive, low cost and objective assessments of the presence of disorders, as well as accelerating and improving the process of diagnosis and clinical treatment given to patients. In this work, a vector made up of 28 acoustic parameters is evaluated using principal component analysis (PCA), kernel principal component analysis (kPCA) and an auto-associative neural network (NLPCA) in four kinds of pathology detection (hyperfunctional dysphonia, functional dysphonia, laryngitis, vocal cord paralysis) using the a, i and u vowels, spoken at a high, low and normal pitch. The results indicate that the kPCA and NLPCA methods can be considered a step towards pathology detection of the vocal folds. The results show that such an approach provides acceptable results for this purpose, with the best efficiency levels of around 100%. The study brings the most commonly used approaches to speech signal processing together and leads to a comparison of the machine learning methods determining the health status of the patient
About Me
Prof. Dr. Hab. Eng. Janusz Gajda obtained his master's degree, doctoral degree, postdoctoral degree and the title of professor in 1978, 1985, 1993 and 2001 respectively in the field of engineering and technical sciences, in the discipline of electrical engineering. He is currently employed as a professor at the Department of Metrology and Electronics of the AGH University of Science and Technology in Krakow.
His areas of interest include: electrical and electronic metrology, object identification, signal processing, road traffic parameter measurements and biomedical measurements. He is the author of over 250 scientific publications, including 8 books and 5 patents. He has supervised 5 PhDs.
In the years 1999-2016 he headed the Department of Metrology and Electronics at the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering of the AGH University of Science and Technology. In the years 2016-2024 he was the Vice-Dean for Science at this Faculty. In the years 2007-2023 he was a member of the Committee of Metrology and Scientific Equipment of the Polish Academy of Sciences, and in the years 2016-2023 the chairman of this Committee. Currently, since 2017 he has been a member of the Metrology Council at the President of the Central Office of Measures. Since 2008 he has been a member of the International Society of Weight In Motion.