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2022 International Conference on Space Optics, ICSO 2022

作者： Gladysz, Szymon Bellossi, Raphael Zepp, Andreas McDonald, Douglas Segel, Max Mackey, Ruth Fitzgerald, Niamh Stein, Karin Fraunhofer IOSB Ettlingen Fraunhofer Institute of Optronics System Technologies and Image Exploitation Gutleuthausstr. 1 Ettlingen76275 Germany mBryonics Ltd Galway Ireland

ISBN: (纸本)9781510668034

In deep-space optical communications, one particular challenge encountered at the ground receiver side are the wavefront deformations caused by atmospheric turbulence. This gives rise to reduced signal-to-background ratios and signal fades, especially during daytime. Background rejection is therefore a fundamental requirement for optical links operating in the low-photon-count regime with a strong solar background. Both, spectral and spatial filtering subsystems are essential for this application. To this end, we have analyzed several spectral filters and wavefront sensing approaches. In laboratory experiments, a combination of a bandpass filter and a Fabry-Pérot etalon delivered the required bandwidth of 0.17 nm and transmission of 90%, while a SWIR Shack-Hartmann sensor, combined with custom-built wavefront reconstruction software, directed the adaptive optics loop. We have obtained improvements in the Strehl ratio for signal-to-background ratios down to 0.2. © 2023 SPIE. All rights reserved.

关键词： Adaptive optics

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ACHIEVING MOTIVATION-PSYCHOLOGICAL IMMERSION IN TECHNOLOGY-ASSISTED LEARNING, CONSIDERING EMOTIONAL STATES 18

ACHIEVING MOTIVATION-PSYCHOLOGICAL IMMERSION IN TECHNOLOGY-A...

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18th International Conference on Interfaces and Human Computer Interaction 2024, IHCI 2024, the 17th International Conference on Game and Entertainment technologies 2024, GET 2024 and the 18th International Conference on Computer Graphics, Visualization, Computer Vision and image Processing 2024, CGVCVIP 2024, Part of the 18th Multi Conference on Computer Science and Information systems 2024, MCCSIS 2024

作者： Kannegieser, Ehm Külpmann, Robert Fraunhofer Institute of Optronics System Technologies and Image Exploitation Fraunhoferstraße. 1 Karlsruhe76131 Germany Karlsruhe Institute of Technology Kaiserstraße. 12 Karlsruhe76131 Germany

ISBN: (纸本)9789898704580

Learning activities are often perceived by many as a work task. To counter this perception, concepts such as Gamification and Game-Based-Learning have been introduced, to make learning activities more enjoyable. Deep Focus States, like Immersion and Flow, describe situations in which learners are highly concentrated and blot out the work aspect of the activity. In this context the presented study concept tries to to gain information about the correlation between reaching a Deep Focus State and the learner’s current Emotional State. The paper focuses on the question of whether high Arousal/Valence values result in Deep Focus States or not. To explore this question a possible study will be presented, which includes the evaluation of Arousal/Valence Models, Flow and Immersion. In order to extend the applicability of this method, a concept of a minimal experimental setup will be envisioned where data regarding the emotional connection in different game genres should be recorded. © 2024 Interfaces and Human Computer Interaction. All Rights Reserved.

关键词： Contrastive Learning

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Event Abstraction in Medical Context Using Self Organizing Maps (CSCI-RTHI)

Event Abstraction in Medical Context Using Self Organizing M...

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2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022

作者： Philipp, Patrick Bommersheim, Marie Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB Fraunhofer Center for Machine Learning Karlsruhe Germany

ISBN: (纸本)9798350320282

With the digital transformation in medicine, enormous amounts of data are being generated and are available for analysis. Process mining techniques can be utilized to extract process models from this data. On the one side these process models typically provide detailed, fine-granular activitiy descriptions. But on the other hand these models become increasingly less recognizable. Therefore, in this contribution we explore the use of Self Organizing Maps for an event abstraction in the medical context. Our approach achieved promising results on a publicly available sepsis data set. © 2022 IEEE.

关键词： Self organizing maps

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Industrie 4.0-Compliant Digital Twins Boosting Machine Servitization 43rd

Industrie 4.0-Compliant Digital Twins Boosting Machine Servi...

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43rd Real-Time systems Conference on Automation in Everyday Life, Real-Time 2022

作者： Redeker, Magnus Tikekar, Juilee Victor, Christopher Wördehoff, Frank Peveling, Matthias Horenkamp, Daniel Fraunhofer Institute of Optronics System Technologies and Image Exploitation Fraunhofer IOSB IOSB-INA Lemgo Germany Wöhler Brush Tech GmbH Bad Wünnenberg Germany

ISBN: (纸本)9783031326998

Digital Twins are the key component for an intelligent networking of machines and processes in Industrie 4.0. Considering a machine supplier and its customers operating machines in their shop-floors, high machine availability is the cornerstone of successful business relationships. Industrie 4.0-compliant Digital Twins automatically connect the customers’ machines to a servicing system of the supplier minimizing costs for machine and service integration and, through an interoperable provision of data, costs for data engineering. Machine servicing systems can be automated to the greatest possible extent. The returns on investment of service suppliers and customers increase. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Sales

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Joint Parameter and State-Space Modelling of Manufacturing Processes using Gaussian Processes 22

Joint Parameter and State-Space Modelling of Manufacturing P...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Kiroriwal, Saksham Pfrommer, Julius Mende, Hendrik Schmitt, Robert H. Beyerer, Jürgen Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB Germany Fraunhofer Institute of Production Technology IPT Germany Karlsruhe Institute of Technology Germany WZL: Laboratory for Machine Tools and Production Engineering WZL of RWTH Aachen University Germany

ISBN: (纸本)9798331527471

Manufacturing process optimization is an open question, where Bayesian decision theoretic methods have shown considerable promise. One such is Bayesian optimization, with Gaussian Process (GP) surrogate model. This paper explores Gaussian Processes networks to jointly use parameter and observed state to predict the output(s) of a manufacturing process. The Gaussian process network that represents the paths from parameters to state-space to tasks, provides a methodology to’look inside’ the black-box of complex manufacturing processes. We present a comparative analysis of this method against the multi-task Gaussian processes and single-task counterparts, highlighting the benefits and drawbacks of each in modelling the behavior of such processes. We show the benefits of the proposed approach using numerical experiments. We show that we are able to improve the output prediction by additional sensor observations from inside the process at training time without needing those sensor observations for predicting product quality given the process parameters. © 2024 IEEE.

关键词： Gaussian distribution

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Simultaneous measurement of surface geometry and film thickness distribution by retroreflex ellipsometry

Simultaneous measurement of surface geometry and film thickn...

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作者： Chen, Chia-Wei Hartrumpf, Matthias Längle, Thomas Beyerer, Jürgen Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB Karlsruhe Germany Vision and Fusion Laboratory (IES) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

A holistic approach to determine the surface orientation and film thickness for nonplanar isotropic three-phase systems (ambient-film-substrate) by retroreflex ellipsometry is presented. After scanning the surface of the sample, the ellipsometric parameters (Ψ, Δ), the surface orientation (θ₀,ϕ) and the film thickness d can be measured simultaneously. Then, the surface geometry can be reconstructed by numerical gradient integration. The influence of the spot size and incident angle on the measurement results is simulated and discussed. The experiments show satisfactory results for film thickness distribution and surface geometry, which prove that the method is capable of measuring nonplanar surfaces. © 2024

关键词： Curved and tilted surfaces Mueller-matrix ellipsometry Optical surface measurement Retroreflex ellipsometry Surface topography Thin-film metrology

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Monitoring Process Phase Sequences and Durations in Industrial Batch Processes by a Hybrid Unsupervised Learning Strategy

Monitoring Process Phase Sequences and Durations in Industri...

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International Conference on Control, Automation and Diagnosis (ICCAD)

作者： Christian W. Frey Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB Karlsruhe Germany

ISBN: (数字)9798350361025

ISBN: (纸本)9798350361032

Industrial batch processes, such as those in the pharmaceutical industry, are characterized by complex system behaviors, due to the involvement of several chemical reactions in various time critical process phases. Monitoring such processes involves several critical aspects: identifying unknown process phases, tracking their sequence and duration, and detecting anomalies within these phases. As demonstrated in several industrial applications, the ability of Self-Organizing Maps (SOMs) to detect anomalies, identify and visualize process phases is highly beneficial for comprehensive monitoring and understanding of technical processes. This paper presents a hybrid unsupervised learning strategy (HULS) for monitoring complex industrial processes. Addressing the limitations of SOMs, especially in scenarios with unbalanced datasets and highly correlated process variables, HULS combines existing unsupervised learning techniques to address these challenges. The capabilities of the HULS concept compared to the standard SOM model for the detection of unknown process phases and monitoring process phase sequences and durations are evaluated using a exemplary laboratory batch process.

关键词： Self-organizing feature maps Industries Visualization Process control Batch production systems Reliability Monitoring

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Hybrid Unsupervised Learning Strategy for Monitoring Industrial Batch Processes

arXiv

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arXiv 2024年

作者： Frey, Christian W. Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB Karlsruhe Germany

Industrial production processes, especially in the pharmaceutical industry, are complex systems that require continuous monitoring to ensure efficiency, product quality, and safety. This paper presents a hybrid unsupervised learning strategy (HULS) for monitoring complex industrial processes. Addressing the limitations of traditional Self-Organizing Maps (SOMs), especially in scenarios with unbalanced data sets and highly correlated process variables, HULS combines existing unsupervised learning techniques to address these challenges. To evaluate the performance of the HULS concept, comparative experiments are performed based on a laboratory batch process. © 2024, CC BY-NC-ND.

关键词： Self organizing maps

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Using Electroencephalography To Survey The Physiology Of Immersion And Flow 17

Using Electroencephalography To Survey The Physiology Of Imm...

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17th International Conference on Interfaces and Human Computer Interaction 2023, IHCI 2023, the 17th International Conference on Computer Graphics, Visualization, Computer Vision and image Processing 2023, CGVCVIP 2023 and 16th International Conference on Game and Entertainment technologies 2023, GET 2023

作者： Kannegieser, Ehm Münch, Sarah Ratz, Johannes Fraunhofer Institute of Optronics System Technologies and Image Exploitation Fraunhoferstr.1 Karlsruhe76131 Germany Karlsruhe Institute of Technology Kaiserstraße 12 Karlsruhe76131 Germany

ISBN: (纸本)9789898704498

Deep focus states, like Immersion and Flow are important parameters when it comes to an enjoyable experience during learning activities. Exploring the Physiology of deep focus, in the course of prior studies, physiological data of participants was recorded during activities and inspected for correlations with Flow and Immersion. As no significant correlations were found, the experimental setup was extended by Electroencephalography (EEG) sensors to broaden the sprectrum of physiological data available for analysis, before further studies were conducted. In this paper, after shortly revisiting prior research, the results of the EEG-measurements are presented. © 2023 Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2023, IHCI 2023;Computer Graphics, Visualization, Computer Vision and image Processing 2023, CGVCVIP 2023;and Game and Entertainment technologies 2023, GET 2023. All rights reserved.

关键词： Electroencephalography

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Influence of Atmospheric Turbulence on Coherent Free-Space Optical Communications

Influence of Atmospheric Turbulence on Coherent Free-Space O...

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2022 Applications of Lasers for Sensing and Free Space Communications, LS and C 2022

作者： Gladysz, Szymon McDonald, Douglas Bellossi, Raphaël Fraunhofer IOSB Ettlingen Fraunhofer Institute of Optronics System Technologies and Image Exploitation Gutleuthausstr. 1 Ettlingen76275 Germany

The development of coherent free-space optical communications systems could provide an opportunity for significantly increased data rates compared to the traditional intensity-modulation-based communications. In this work, we present experiments demonstrating coherent free-space optical communications over an outdoor free-space link with data rates on the order of Gbit/s. © Optica Publishing Group 2022, © 2022 The Author.

关键词： Space optics

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