Explicit Euler discretization of an indirect adaptive sliding mode control. - In: 2022 16th International Workshop on Variable Structure Systems (VSS), (2022), S. 278-283
In this paper, an explicit Euler discretization scheme is used to obtain a discrete-time version of the indirect adaptive sliding mode control for an uncertain scalar linear system with an unknown parameter. The unknown parameter is linear in the state, the input disturbance is assumed to be bounded. An improper discretization of indirect adaptive sliding mode algorithms may lead to unbounded parameter estimates, which then result in an unbounded state. We modify the algorithm by using a priori knowledge of the location of the unknown parameter such that boundedness of the trajectory can be guaranteed. This entails obtaining a stabilizing condition on the sampling interval and calculating the bound of the state trajectory. The proposed discretization is illustrated by simulation results of an academic scalar system.
https://doi.org/10.1109/VSS57184.2022.9902081
Efficient multi-task RGB-D scene analysis for indoor environments. - In: 2022 International Joint Conference on Neural Networks (IJCNN), (2022), insges. 10 S.
Semantic scene understanding is essential for mobile agents acting in various environments. Although semantic segmentation already provides a lot of information, details about individual objects as well as the general scene are missing but required for many real-world applications. However, solving multiple tasks separately is expensive and cannot be accomplished in real time given limited computing and battery capabilities on a mobile platform. In this paper, we propose an efficient multi-task approach for RGB-D scene analysis (EMSANet) that simultaneously performs semantic and instance segmentation (panoptic segmentation), instance orientation estimation, and scene classification. We show that all tasks can be accomplished using a single neural network in real time on a mobile platform without diminishing performance - by contrast, the individual tasks are able to benefit from each other. In order to evaluate our multi-task approach, we extend the annotations of the common RGB-D indoor datasets NYUv2 and SUNRGB-D for instance segmentation and orientation estimation. To the best of our knowledge, we are the first to provide results in such a comprehensive multi-task setting for indoor scene analysis on NYUv2 and SUNRGB-D.
https://doi.org/10.1109/IJCNN55064.2022.9892852
Active nonstationary variables selection based just-in-time co-integration analysis and slow feature analysis monitoring approach for dynamic processes. - In: Journal of process control, ISSN 0959-1524, Bd. 117 (2022), S. 112-121
For industrial processes, operating conditions tend to be time varying, leading to the time-varying nonstationary characteristics. In this paper, an active nonstationary variables selection-based just-in-time co-integration analysis and slow feature analysis monitoring approach is proposed to explore the real-time variations in dynamic processes. To this end, by analyzing the time-varying stationarity of online data, active nonstationary variables are selected. Meanwhile, a just-in-time strategy is used to update the offline model. On this basis, co-integration analysis and slow feature analysis are developed for extracting long-run equilibrium relationships and slowly varying features. A comprehensive statistic is generated by Bayesian inference to monitor the operation status. With the active nonstationary information extraction, the proposed method emphasizes the online nonstationary characteristics, which allows the monitoring model to effectively capture the dynamic variations. Two case studies on benchmark processes show the advantages and feasibility of the proposed method.
https://doi.org/10.1016/j.jprocont.2022.07.008
TH-201 : transferability of cathodal tDCS effects from the primary motor to the dorsolateral prefrontal cortex: a multimodal TMS-EEG study. - In: Clinical neurophysiology, ISSN 1872-8952, Bd. 141 (2022), S. S146-S147
https://doi.org/10.1016/j.clinph.2022.07.387
WE-123 : a 256-channel dry electrode cap for rapid high-density EEG. - In: Clinical neurophysiology, ISSN 1872-8952, Bd. 141 (2022), S. S63-S64
https://doi.org/10.1016/j.clinph.2022.07.167
Konzeptentwicklung eines Speckle-Mikroskops zur Untersuchung pathophysiologischer Veränderungen durch humane Autoantikörper gegen den NMDA-Rezeptor. - Ilmenau : Universitätsbibliothek, 2022. - 1 Online-Ressource (VI, 141, [28] Blätter)
Technische Universität Ilmenau, Dissertation 2022
Die vorliegende Arbeit befasst sich mit dem Krankheitsbild der NMDA-Rezeptor Enzephalitis und der Entwicklung neuartiger Technologien, mit dem Ziel weitere tiefgreifende Erkenntnisse im Zusammenhang mit dieser Autoimmunerkrankung zu gewinnen. Im ersten Abschnitt der Arbeit werden für die Untersuchungen etablierte höchstauflösende Fluoreszenz-Mikroskopieverfahren aus dem Bereich der Lokalisationsmikroskopie eingesetzt. Hierbei kommen spezielle rekombinante monoklonale Patienten aAK gegen die NR1-Untereinheit des NMDA-Rezeptors zur Anwendung. Durch die Lokalisationsmikroskopie wird die synaptische Rezeptordichte quantifiziert und somit die Auswirkung der aAK auf die Rezeptormorphologie untersucht. Zusätzlich dazu wurde die Messung mittels Lokalisationsmikroskopie in einen 10 µm coronalen Hirnschnitt einer Maus etabliert. Mit Hilfe der genutzten höchstauflösenden Mikroskopiemethoden konnte auch die Spezifität der rekombinanten monoklonalen Patienten aAK nachgewiesen werden. Der zweite Abschnitt der Arbeit befasst sich mit der Etablierung eines speziellen Mikroskopes der strukturierten Beleuchtungsmikroskopie, welches auf Basis von sogenannten Speckle arbeitet. Es konnte ein kosteneffizienter Aufbau realisiert werden, welcher im Bereich von wenigen Sekunden ein höchstaufgelöstes Bild aufnimmt. Die gezeigte Auflösung war im Bereich von etablierten Verfahren der strukturierten Beleuchtungsmikroskopie. Auf Grundlage des etablierten Mikroskops wurde ein Patent eingereicht und angenommen. Das Patent befasst sich mit der Möglichkeit die effektive Beleuchtungsfläche der Speckle durch die Nutzung von verschiedenen nichtlinearen physikalischen Effekten zu reduzieren. Somit kann der Detektionsbereich verkleinert und im Idealfall in einem Einzelmolekül-Regime genutzt werden. In einem letzten Punkt der Arbeit wird eine neuartige Kombinationsmöglichkeit von funktionellen Messungen in Form von MEA und morphologischen Messungen entwickelt. Das hier gezeigte ultradünne und hochtransparente MEA resultiert in einem Design und einer Materialkombination, so dass es für eine solche Verfahrenskombination eingesetzt werden kann. Es konnte gezeigt werden, dass es bei Untersuchungen mit der Lokalisationsbasierten Mikroskopiemethodik zu keinen Einflüssen auf die optischen Ergebnisse kommt und die Oberflächeneigenschaften durch ihre Spezifität Anwendungsvorteile bringen.
https://doi.org/10.22032/dbt.53194
Object classification on video data of meteors and meteor-like phenomena: algorithm and data. - In: Monthly notices of the Royal Astronomical Society, ISSN 1365-2966, Bd. 516 (2022), 1, S. 811-823
Every moment, countless meteoroids enter our atmosphere unseen. The detection and measurement of meteors offer the unique opportunity to gain insights into the composition of our solar systems’ celestial bodies. Researchers therefore carry out a wide-area-sky-monitoring to secure 360-degree video material, saving every single entry of a meteor. Existing machine intelligence cannot accurately recognize events of meteors intersecting the earth’s atmosphere due to a lack of high-quality training data publicly available. This work presents four reusable open source solutions for researchers trained on data we collected due to the lack of available labelled high-quality training data. We refer to the proposed data set as the NightSkyUCP data set, consisting of a balanced set of 10 000 meteor- and 10 000 non-meteor-events. Our solutions apply various machine-learning techniques, namely classification, feature learning, anomaly detection, and extrapolation. For the classification task, a mean accuracy of 99.1 per cent is achieved. The code and data are made public at figshare with DOI 10.6084/m9.figshare.16451625.
https://doi.org/10.1093/mnras/stac1948
Interactive and explorative stream processing. - In: DEBS 2022, (2022), S. 194-197
Formulating a suitable stream processing pipeline for a particular use case is a complicated process that highly depends on the processed data and usually requires many cycles of refinement. By combining the advantages of visual data exploration with the concept of real-time modifiability of a stream processing pipeline we want to contribute an interactive approach that simplifies and enhances the process of pipeline engineering. As a proof of concept, a prototype has been developed that delivers promising results in various test use cases and allows to modify the parameters and structure of stream processing pipelines at a development stage in a matter of milliseconds. By utilizing collected data and statistics from this explorative intermediate stage we will automatically generate optimized runtime code for a standalone execution of the constructed pipeline.
https://doi.org/10.1145/3524860.3543287
StreamVizzard - an interactive and explorative stream processing editor. - In: DEBS 2022, (2022), S. 186-189
Processing continuous data streams is one of the hot topics of our time. A major challenge is the formulation of a suitable and efficient stream processing pipeline. This process is complicated by long restart times after pipeline modifications and tight dependencies on the actual data to process. To approach these issues, we have developed StreamVizzard - an interactive and explorative stream processing editor to simplify the pipeline engineering process. Our system allows to visually configure, execute, and completely modify a pipeline during runtime without any delay. Furthermore, an adaptive visualizer automatically displays the operator's processed data and statistics in a comprehensible way and allows the user to explore the data and support his design decisions. After the pipeline has been finalized our system automatically optimizes the pipeline based on collected statistics and generates standalone runtime code for productive use at a targeted stream processing engine.
https://doi.org/10.1145/3524860.3543283
Can communication technologies reduce loneliness and social isolation in older people? : a scoping review of reviews. - In: International journal of environmental research and public health, ISSN 1660-4601, Bd. 19 (2022), 18, 11310, S. 1-20
Background: Loneliness and social isolation in older age are considered major public health concerns and research on technology-based solutions is growing rapidly. This scoping review of reviews aims to summarize the communication technologies (CTs) (review question RQ1), theoretical frameworks (RQ2), study designs (RQ3), and positive effects of technology use (RQ4) present in the research field. Methods: A comprehensive multi-disciplinary, multi-database literature search was conducted. Identified reviews were analyzed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. A total of N = 28 research reviews that cover 248 primary studies spanning 50 years were included. Results: The majority of the included reviews addressed general internet and computer use (82% each) (RQ1). Of the 28 reviews, only one (4%) worked with a theoretical framework (RQ2) and 26 (93%) covered primary studies with quantitative-experimental designs (RQ3). The positive effects of technology use were shown in 55% of the outcome measures for loneliness and 44% of the outcome measures for social isolation (RQ4). Conclusion: While research reviews show that CTs can reduce loneliness and social isolation in older people, causal evidence is limited and insights on innovative technologies such as augmented reality systems are scarce.
https://doi.org/10.3390/ijerph191811310