Publikationen an der Fakultät für Informatik und Automatisierung ab 2015

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Rieger, Steffen; Klee, Sascha; Baumgarten, Daniel
Routing of cardiovascular and respiratory oscillations to the retinal vessels. - In: Journal of vascular research, ISSN 1423-0135, Bd. 58 (2021), S. 16

https://doi.org/10.1159/000518026
Manina, Alla; Grasis, Mikus; Khamidullina, Liana; Korobkov, Alexey; Haueisen, Jens; Haardt, Martin
Coupled CP decomposition of EEG and MEG magnetometer and gradiometer measurements via the coupled SECSI framework. - In: Conference record of the Fifty-Fifth Asilomar Conference on Signals, Systems & Computers, (2021), S. 1661-1667

Recent research has shown that the joint processing of simultaneously recorded EEG-MEG signals can be beneficial compared to the separate analysis of data if the corresponding tensors have one of their factor matrices in common. In this study, we perform a joint CP decomposition of simultaneously recorded EEG and MEG magnetometer as well as gradiometer measurements via a new extension of the coupled SEmi-Algebraic framework for the approximate CP decomposition via SImultaneous matrix diagonalization (SECSI) to jointly factorize several tensors with at least one factor matrix in common. In case of the biomedical data, the four measured tensors have the factor matrix in the frequency domain in common. The developed coupled SECSI algorithm allows extracting the signal sources even in ill-conditioned scenarios. In the final processing step, coupled SECSI chooses the best out of a variety of possible factor matrix estimates, i.e., a combination that leads to the smallest value of the reconstruction error. However, for data tensors that do not exhibit significant coupling, the uncoupled solution can also be selected. The results are evaluated on measured as well as on synthetic data and compared with other state-of-the-art approaches.



https://doi.org/10.1109/IEEECONF53345.2021.9723118
Ortelt, Tobias R.; Terkowsky, Claudius; Schwandt, Andrea; Winzker, Marco; Pfeiffer, Anke; Uckelmann, Dieter; Hawlitschek, Anja; Zug, Sebastian; Henke, Karsten; Nau, Johannes; May, Dominik
Die digitale Zukunft des Lernens und Lehrens mit Remote-Laboren. - In: Digitalisierung in Studium und Lehre gemeinsam gestalten, (2021), S. 553-575

Der Einsatz von Remote-Laboren in ingenieurwissenschaftlichen Studiengängen ermöglicht Studierenden an einigen Hochschulen die ortsunabhängige Nutzung von Laboren, Maschinen und Robotern. Remote-Labore eignen sich in besonderer Weise dafür, den digitalisierungsbedingten Anforderungen und dem Qualifikationsbedarf aus Wirtschaft und Industrie zu begegnen. Die Onlinebedienung von Laboren bietet viele Ansatzpunkte für den Erwerb digitaler Kompetenzen, wie beispielsweise das Sammeln und Analysieren von Big Data, das Entwickeln geeigneter Schnittstellen für den Onlinezugriff oder den korrekten Einsatz zur Verfügung stehender softwarebasierter Messtechnik. Auch während der Coronapandemie im Sommersemester 2020, als der reguläre Zugang zu Laboren aufgrund der Kontaktbeschränkungen nicht erlaubt war, ermöglichten Remote-Labore den Studierenden praktische Erfahrungen. Jedoch stellen nicht nur die didaktischen, sondern auch die technischen und organisatorischen Aspekte ingenieurwissenschaftliche Studiengänge bei der Umsetzung von Remote-Laboren vor anspruchsvolle Aufgaben. Der nachfolgende Beitrag greift diese Aspekte auf und beschreibt anhand ausgewählter Beispiele, wie die Umsetzung und Integration von Remote-Laboren in Studium und Lehre gelingen kann, aber auch welche Herausforderungen nach wie vor bestehen.



https://doi.org/10.1007/978-3-658-32849-8_31
Steinmetz, Nadine; Senthil-Kumar, Bhavya; Sattler, Kai-Uwe
Conversational question answering using a shift of context. - [Aachen, Germany] : [RWTH Aachen]. - 1 Online-Ressource (8 Seiten)Online-Ausgabe: EDBT/ICDT-WS 2021: EDBT/ICDT 2021 workshops : proceedings of the workshops of the EDBT/ICDT 2021 Joint Conference : Nicosia, Cyprus, March 23, 2021 / edited by EDBT/ICDT 2021 workshops proceedings chair Constantinos Costa, University of Pittsburgh, Pittsburgh, USA; EDBT/ICDT 2021 workshops chair Evaggelia Pitoura, University of Ioannina, Greece. - [Aachen, Germany] : [RWTH Aachen], 2021. - CEUR workshop proceedings ; vol-2841

https://doi.org/10.22032/dbt.51535
Voropai, Ruslan; Shcherbatov, Ivan; Agibalov, Vladimir; Belov, Mikhail
Repair program formation on the basis of the technical condition classifiers. - In: Cyber-Physical Systems: Design and Application for Industry 4.0, (2021), S. 107-116

A classifier that provides a technical diagnosis of complex equipment is proposed. Predicting the remaining life of the equipment is implemented to determine the time of diagnosis and inclusion of equipment in the repair program. The procedure for forming a repair program based on the forecast value of the remaining resource and financial losses associated with equipment failure is described.



https://doi.org/10.1007/978-3-030-66081-9_8
Casas Melo, Víctor Fernando; Harounabadi, Mehdi; Mitschele-Thiel, Andreas
A self-organized adaptation of spreading factor for LoRa radio layer based on experimental study. - In: Future Access Enablers for Ubiquitous and Intelligent Infrastructures, (2021), S. 25-36

LoRa technology provides low power, long range and low data rate communication solution for sensor nodes on Internet of the Things (IoT) applications. In this work, we study experimentally the performance of LoRa radio for a device-to-device communication with different spreading factors. A measurement campaign is carried out under different scenarios such as outdoor, indoor, different altitudes, and different distances. In all scenarios, we measure Packet Delivery Ratio (PDR) and Signal to Noise Ratio (SNR). The results show that the distance between a transmitter and a receiver is not the only effective parameter determining the SNR but also environmental conditions and the altitude of a receiver impact on the SNR. We show also that the PDR depends on the applied spreading factor. Besides, we derive a mapping between the SNR to a proper spreading factor of the LoRa radio for different PDR requirements using our empirical results. Applying this mapping, we propose a self-organized algorithm that adapts the spreading factor in LoRa radio to achieve a required PDR. The results show that the proposed adaptive scheme adapts the LoRa radio to provide a given 80% PDR requirement between two LoRa nodes.



https://doi.org/10.1007/978-3-030-78459-1_2
Hagedorn, Stefan; Kläbe, Steffen; Sattler, Kai-Uwe
Putting Pandas in a box. - [USA?] : CIDR Conference. - 1 Online-Ressource (6 Seiten)Publikation entstand im Rahmen der Veranstaltung: 11th Conference on Innovative Data Systems Research, CIDR 2021, Virtual Event, January 11-15, 2021, Online Proceedings, Session 3: Data Analytics

https://doi.org/10.22032/dbt.51534
Prokhorova, Alexandra; Fiser, Ondrej; Vrba, Jan; Helbig, Marko
Experimental study of optimal antenna array configuration for non-invasive UWB microwave temperature monitoring during hyperthermia. - In: 2021 IEEE Conference on Antenna Measurements & Applications (CAMA), (2021), S. 529-534

Temperature monitoring during thermal therapies is used to regulate the amount of heat distributed to the cancerous tissue and therefore improve the clinical outcome of the oncological treatment. For the development of a hybrid hyperthermia system with non-invasive temperature monitoring by means of ultra-wideband (UWB) imaging, the optimal configuration of sensing antennas and heating applicators has to be investigated. In this paper we present the results of numerical simulations of several possible antenna arrangements, which are then validated by experiments with the radar system. The performance of each channel configuration was analyzed and benefits for the different clinical scenarios were specified.



https://doi.org/10.1109/CAMA49227.2021.9703455
Helbig, Marko; Faenger, Bernd; Ley, Sebastian; Hilger, Ingrid
Multistatic M-sequence UWB radar system for microwave breast imaging. - In: 2021 IEEE Conference on Antenna Measurements & Applications (CAMA), (2021), S. 540-545

The design of a multistatic ultra-wideband (UWB) microwave radar imaging system for breast cancer detection is presented in this paper. Based on pseudo-noise code (M-sequence) technology, this multiple-input-multiple-output (MIMO) system includes 24 antennas and records data from 12S channels. Furthermore, it realizes complete rotation of the antenna array around the breast, which allows several options of clutter removal and differential imaging, respectively. The system underwent a first feasibility study on volunteers at University Hospital Jena. The procedure of examination and first experiences are described in this paper.



https://doi.org/10.1109/CAMA49227.2021.9703560