Search

Your search keyword '"Ruszczak, Bogdan"' showing total 34 results
Start Over Author "Ruszczak, Bogdan"
34 results on '"Ruszczak, Bogdan"'

1. The OPS-SAT benchmark for detecting anomalies in satellite telemetry

Author

Ruszczak, Bogdan, Kotowski, Krzysztof, Evans, David, and Nalepa, Jakub

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Detecting anomalous events in satellite telemetry is a critical task in space operations. This task, however, is extremely time-consuming, error-prone and human dependent, thus automated data-driven anomaly detection algorithms have been emerging at a steady pace. However, there are no publicly available datasets of real satellite telemetry accompanied with the ground-truth annotations that could be used to train and verify anomaly detection supervised models. In this article, we address this research gap and introduce the AI-ready benchmark dataset (OPSSAT-AD) containing the telemetry data acquired on board OPS-SAT -- a CubeSat mission which has been operated by the European Space Agency which has come to an end during the night of 22--23 May 2024 (CEST). The dataset is accompanied with the baseline results obtained using 30 supervised and unsupervised classic and deep machine learning algorithms for anomaly detection. They were trained and validated using the training-test dataset split introduced in this work, and we present a suggested set of quality metrics which should be always calculated to confront the new algorithms for anomaly detection while exploiting OPSSAT-AD. We believe that this work may become an important step toward building a fair, reproducible and objective validation procedure that can be used to quantify the capabilities of the emerging anomaly detection techniques in an unbiased and fully transparent way., Comment: 13 pages, 8 figures, 3 tables

Published
2024

2. European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry

Author

Kotowski, Krzysztof, Haskamp, Christoph, Andrzejewski, Jacek, Ruszczak, Bogdan, Nalepa, Jakub, Lakey, Daniel, Collins, Peter, Kolmas, Aybike, Bartesaghi, Mauro, Martinez-Heras, Jose, and De Canio, Gabriele

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Machine learning has vast potential to improve anomaly detection in satellite telemetry which is a crucial task for spacecraft operations. This potential is currently hampered by a lack of comprehensible benchmarks for multivariate time series anomaly detection, especially for the challenging case of satellite telemetry. The European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry (ESA-ADB) aims to address this challenge and establish a new standard in the domain. It is a result of close cooperation between spacecraft operations engineers from the European Space Agency (ESA) and machine learning experts. The newly introduced ESA Anomalies Dataset contains annotated real-life telemetry from three different ESA missions, out of which two are included in ESA-ADB. Results of typical anomaly detection algorithms assessed in our novel hierarchical evaluation pipeline show that new approaches are necessary to address operators' needs. All elements of ESA-ADB are publicly available to ensure its full reproducibility., Comment: 87 pages, 24 figures, 19 tables

Published
2024

4. Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features

Author

Ruszczak, Bogdan, Wijata, Agata M., Nalepa, Jakub, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mikyška, Jiří, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M.A., editor

Published
2023
Full Text
View/download PDF

5. Machine Learning Detects Anomalies in OPS-SAT Telemetry

Author

Ruszczak, Bogdan, Kotowski, Krzysztof, Andrzejewski, Jacek, Musiał, Alicja, Evans, David, Zelenevskiy, Vladimir, Bammens, Sam, Laurinovics, Rodrigo, Nalepa, Jakub, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mikyška, Jiří, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M.A., editor

Published
2023
Full Text
View/download PDF

8. The Implementation of a Convolutional Neural Network for the Detection of the Transmission Towers Using Satellite Imagery

Author

Michalski, Paweł, Ruszczak, Bogdan, Lorente, Pedro Javier Navarro, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Świątek, Jerzy, editor, Borzemski, Leszek, editor, and Wilimowska, Zofia, editor

Published
2020
Full Text
View/download PDF

9. The Registration of Digital Images for the Truss Towers Diagnostics

Author

Gasz, Rafał, Ruszczak, Bogdan, Tomaszewski, Michał, Zator, Sławomir, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Borzemski, Leszek, editor, Świątek, Jerzy, editor, and Wilimowska, Zofia, editor

Published
2019
Full Text
View/download PDF

10. Brassica Napus Florescence Modeling Based on Modified Vegetation Index Using Sentinel-2 Imagery

Author

Słapek, Michał, Smykała, Krzysztof, Ruszczak, Bogdan, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Rutkowski, Leszek, editor, Scherer, Rafał, editor, Korytkowski, Marcin, editor, Pedrycz, Witold, editor, Tadeusiewicz, Ryszard, editor, and Zurada, Jacek M., editor

Published
2019
Full Text
View/download PDF

11. Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge

Author

Nalepa, Jakub, primary, Tulczyjew, Lukasz, additional, Le Saux, Bertrand, additional, Longépé, Nicolas, additional, Ruszczak, Bogdan, additional, Wijata, Agata M., additional, Smykala, Krzysztof, additional, Myller, Michal, additional, Kawulok, Michal, additional, Kuzu, Ridvan Salih, additional, Albrecht, Frauke, additional, Arnold, Caroline, additional, Alasawedah, Mohammad, additional, Angeli, Suzanne, additional, Nobileau, Delphine, additional, Ballabeni, Achille, additional, Lotti, Alessandro, additional, Locarini, Alfredo, additional, Modenini, Dario, additional, Tortora, Paolo, additional, and Gumiela, Michal, additional

Published
2024
Full Text
View/download PDF

12. Convolutional Neural Networks Implementations for Computer Vision

Author

Michalski, Paweł, Ruszczak, Bogdan, Tomaszewski, Michał, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Hunek, Wojciech P., editor, and Paszkiel, Szczepan, editor

Published
2018
Full Text
View/download PDF

26. ESCAPING BRAIN WASTE. WORK EXPERIENCE AND QUALIFICATIONS OF HIGHLY SKILLED UKRAINIANS IN POLAND.

Author

KUBICIEL-LODZIŃSKA, Sabina, MAJ, Jolanta, WIDERA, Katarzyna, BĘBENEK, Piotr, RUSZCZAK, Bogdan, and SOKOŁOWSKA, Marta

Subjects
JOB qualifications, WORK visas, SOCIAL attitudes, EMPLOYER attitudes, EMPLOYEE selection, CAREER development, WORK experience (Employment)
Abstract

Purpose: The research aimed to identify what causes some highly skilled migrants from Ukraine to work according to their qualifications and others work below their qualifications. Design/methodology/approach: This article discusses the results of a survey conducted among 248 highly skilled economic migrants from Ukraine working in Poland. Two groups were analysed: working according to their qualifications and working below their qualifications. The study was carried out between December 2021 and March 2022. The CATI method has been used. Findings: There is a statistically significant relationship between the length of work experience of respondents in Ukraine and whether or not they are working according to their qualifications or below their qualifications. There is a statistically significant relationship between working in accordance with or not in accordance with qualifications and the assessment of whether it is difficult for a Ukrainian to get a job in Poland in accordance with his/her qualification. Research limitations/implications: The limitation of the conducted research is that it is conducted exclusively from the perspective of the migrant and does not take into account external factors such as the situation in the labour market of the host country, legal conditions, employers' attitudes towards employing foreigners in positions requiring higher education. This should be taken into account in future research. Practical implications: The research also has implications for the management of organisations. They show that there are people among the Ukrainian workforce whose potential is not being used. Their talents could be utilised within the organisation. Further research should look at companies and examine how the process of hiring foreign workers works and determine when a company decides to hire a highly qualified Ukrainian according to his/her background. Social implications: Poland has become a country of immigration. Economic migrants from Ukraine were joined by refugees from that country after 24.02.2022. The proper use of migrants' qualifications is therefore important from the point of view of the economy, but also of the host society. Originality/value: It shows the possibility of using highly qualified migrants from Ukraine in the organisation. In the Polish labour market migrants from Ukraine are mainly employed as manual workers. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results