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55th Annual Precise Time and Time Interval systems and Applications Meeting, PTTI 2024

作者： Schmidt, Tobias D. Poliak, Juraj Schlüter, Stefan Donner, Anton Schuldt, Thilo Braxmaier, Claus Gohlke, Martin Lüdtke, Daniel Prat, Arnau Dauth, Matthias Böhle, Frederik Lezius, Matthias Eklund, Vera Brzoska, Andrej Steimle, Christian German Aerospace Center Institute of Communications and Navigation Germany German Aerospace Center Galileo Competence Center Germany German Aerospace Center Institute for Quantum Technologies Germany German Aerospace Center Institute for Space Systems Germany German Aerospace Center Institute for Software Technology Germany German Aerospace Center Space Operations and Astronaut Training Germany Menlo Systems GmbH Germany Tesat-Spacecom GmbH & Co. KG Germany Airbus Defence and Space GmbH Germany Ulm University Institute of Microelectronics Germany

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COMPASSO: In-orbit Verification of Optical Key Technologies for Future GNSS 53

COMPASSO: In-orbit Verification of Optical Key Technologies ...

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2022 53rd Precise Time and Time Interval systems and Applications Meeting of the Institute of Navigation, PTTI 2022

作者： Schmidt, Tobias D. Schlüter, Stefan Schuldt, Thilo Gohlke, Martin Calvo, Ramon Mata Lüdtke, Daniel Dauth, Matthias Lezius, Matthias Michaelis, Christian Brzoska, Andrej Steimle, Christian German Aerospace Center Institute for Communication and Navigation Germany German Aerospace Center Galileo Competence Center Germany German Aerospace Center Institute for Quantum Technologies Germany German Aerospace Center Institute for Space Systems Germany German Aerospace Center Institute for Software Technology Germany German Aerospace Center Space Operations and Astronaut Training Germany Menlo Systems GmbH Germany Tesat-Spacecom GmbH & Co. Kg Germany Airbus Defence and Space GmbH Germany

ISBN: (纸本)9780936406312

COMPASSO is an in-orbit verification mission testing optical key technologies for future GNSS: optical frequency references based on molecular Iodine,optical frequency combs,optical bi-directional laser communication and ranging terminals COMPASSO will compare and synchronize optical clocks on the ISS and on ground Close to PDR Mission start envisaged for late 2024 or beginning of 2025. © 2022 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Natural frequencies

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Well-being in Isolation: Exploring Artistic Immersive Virtual Environments in a Simulated Lunar Habitat to Alleviate Asthenia Symptoms

arXiv

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arXiv 2023年

作者： Pochwatko, Grzegorz Kopec, Wieslaw Swidrak, Justyna Jaskulska, Anna Skorupska, Kinga H. Karpowicz, Barbara Maslyk, Rafal Grzeszczuk, Maciej Barnes, Steven Borkiewicz, Paulina Kobylinski, Pawel Pabiś-Orzeszyna, Michal Balas, Robert Lazarek, Jagoda Dufresne, Florian Bensch, Leonie Nilsson, Tommy Institute of Psychology Polish Academy of Sciences Poland Polish-Japanese Academy of Information Technology Poland Institute of Psychology - PAS Fundació de Recerca Clínic Barcelona Spain IDIBAPS Kobo Association Emotion Cognition Lab SWPS University Poland Visual Narratives Laboratory Lodz Film School Poland National Information Processing Institute Institute of Contemporary Culture University of Lodz Poland Arts et Métiers Institute of Technology Software for Space Systems and Interactive Visualization German Aerospace Center Germany

Revived interest in lunar and planetary exploration is heralding a new era for human spaceflight, characterized by frequent strain on astronaut's mental well-being, which stems from increased exposure to isolated, confined, and extreme (ICE) conditions. Whilst Immersive Virtual Reality (IVR) has been employed to facilitate self-help interventions to mitigate challenges caused by isolated environments in several domains, its applicability in support of future space expeditions remains largely unexplored. To address this limitation, we administered the use of distinct IVR environments to crew members (n=5) partaking in a simulated lunar habitat study. Utilizing a Bayesian approach to scrutinize small group data, we discovered a significant relationship between IVR usage and a reduction in perceived stress-related symptoms, particularly those associated with asthenia (syndrome often linked to chronic fatigue and weakness;a condition characterized by feelings of energy depletion or exhaustion that can be amplified in ICE conditions). The reductions were most prominent with the use of interactive virtual environments. The'Aesthetic Realities' - virtual environments conceived as art exhibits - received exceptional praise from our participants. These environments mark a fascinating convergence of art and science, holding promise to mitigate effects related to isolation in spaceflight training and *** Codes 93B51, 97M50 Copyright © 2023, The Authors. All rights reserved.

关键词： Ecosystems

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Well-being in Isolation: Exploring Artistic Immersive Virtual Environments in a Simulated Lunar Habitat to Alleviate Asthenia Symptoms

Well-being in Isolation: Exploring Artistic Immersive Virtua...

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International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Grzegorz Pochwatko Wieslaw Kopec Justyna Swidrak Anna Jaskulska Kinga H. Skorupska Barbara Karpowicz Rafał Masłyk Maciej Grzeszczuk Steven Barnes Paulina Borkiewicz Paweł Kobyliński Michał Pabiś-Orzeszyna Robert Balas Jagoda Lazarek Florian Dufresne Leonie Bensch Tommy Nilsson Polish Academy of Sciences Institute of Psychology Polish-Japanese Academy of Information Technology Fundació de Recerca Clínic Barcelona - IDIBAPS Institute of Psychology - PAS Kobo Association Emotion Cognition Lab SWPS University Visual Narratives Laboratory Lodz Film School National Information Processing Institute Institute of Contemporary Culture University of Lodz Arts et Métiers Institute of Technology Software for Space Systems and Interactive Visualization German Aerospace Center European Space Agency (ESA)

Revived interest in lunar and planetary exploration is heralding a new era for human spaceflight, characterized by frequent strain on astronaut’s mental well-being, which stems from increased exposure to isolated, confined, and extreme (ICE) conditions. Whilst Immersive Virtual Reality (IVR) has been employed to facilitate self-help interventions to mitigate challenges caused by isolated environments in several domains, its applicability in support of future space expeditions remains largely unexplored. To address this limitation, we administered the use of distinct IVR environments to crew members $(n=5)$ partaking in a simulated lunar habitat study. Utilizing a Bayesian approach to scrutinize small group data, we discovered a significant relationship between IVR usage and a reduction in perceived stress-related symptoms, particularly those associated with asthenia (syndrome often linked to chronic fatigue and weakness; a condition characterized by feelings of energy depletion or exhaustion that can be amplified in ICE conditions). The reductions were most prominent with the use of interactive virtual environments. The ’Aesthetic Realities’ - virtual environments conceived as art exhibits - received exceptional praise from our participants. These environments mark a fascinating convergence of art and science, holding promise to mitigate effects related to isolation in spaceflight training and beyond

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A multi-modal deep neural network approach to bird-song identification

arXiv

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arXiv 2018年

作者： Fazekas, Botond Schindler, Alexander Lidy, Thomas Rauber, Andreas Vienna University of Technology Institute of Software Technology and Interactive Systems Vienna Austria Austrian Institute of Technology Center for Digital Safety and Security Vienna Austria

We present a multi-modal Deep Neural Network (DNN) approach for bird song identification. The presented approach takes both audio samples and metadata as input. The audio is fed into a Convolutional Neural Network (CNN) using four convolutional layers. The additionally provided metadata is processed using fully connected layers. The flattened convolutional layers and the fully connected layer of the metadata are joined and fed into a fully connected layer. The resulting architecture achieved 2., 3. and 4. rank in the BirdCLEF2017 task in various training configurations. Copyright © 2018, The Authors. All rights reserved.

关键词： Metadata

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A multi-modal deep neural network approach to bird-song identification 18

A multi-modal deep neural network approach to bird-song iden...

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18th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2017

关键词： Metadata

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Exploiting Unlabeled Data for Neural Grammatical Error Detection

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Journal of Computer Science & technology 2017年第4期32卷 758-767页

作者： Zhuo-Ran Liu Yang Liu School of Software Beihang University Beijing 100191 China State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing 100084 China Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing 100084 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China Jiangsu Collaborative Innovation Center for Language Competence Xuzhou 221009 China

Identifying and correcting grammatical errors in the text written by non-native writers have received increasing attention in recent years. Although a number of annotated corpora have been established to facilitate data-driven grammatical error detection and correction approaches, they are still limited in terms of quantity and coverage because human annotation is labor-intensive, time-consuming, and expensive. In this work, we propose to utilize unlabeled data to train neural network based grammatical error detection models. The basic idea is to cast error detection as a binary classification problem and derive positive and negative training examples from unlabeled data. We introduce an attention-based neural network to capture long-distance dependencies that influence the word being detected. Experiments show that the proposed approach significantly outperforms SVM and convolutional networks with fixed-size context window.

关键词： unlabeled data grammatical error detection neural network

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On the evolution of CAEX: A language engineering perspective

On the evolution of CAEX: A language engineering perspective

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Luca Berardinelli Rainer Drath Emanuel Maetzler Manuel Wimmer CDL Flex Institute of Software Technology & Interactive Systems Wien TU ABB AG Corporate Research Center Germany

ISBN: (纸本)9781509013159

CAEX is one of the most promising standards when it comes to data exchange between engineering tools in the production system automation domain. This is also reflected by the current emergence of AutomationML, which uses CAEX as its core representation data format. Having such standards at hand, the question arises how to deal with the evolution of such standards as is currently happening with the transition from CAEX 2.15 to CAEX 3.0. In this paper, we take a language engineering point of view to the evolution of engineering data formats. In particular, we present how CAEX can be formulated in a model-based framework, which allows to reason about evolution of the data format as well as its impact on the data stored in such evolving formats. By this, not only the migration process of existing data to the new format version is possible, but also a more theoretical investigation on information preservation is possible. We demonstrate the approach by the concrete case of the upcoming CAEX evolution.

关键词： XML Data models Standards software Automation Concrete Libraries

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Trifocal system for high-quality inter-camera mapping and virtual view synthesis

Trifocal system for high-quality inter-camera mapping and vi...

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International Conference on 3D Imaging (IC3D)

作者： Florian Seitner Matej Nezveda Margrit Gelautz Georg Braun Christian Kapeller Werner Zellinger Bernhard Moser Emotion3D GmbH Vienna Austria Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria Emotion GmbH Vienna Austria Knowledge-Based Vision Systems Software Competence Center Hagenberg Hagenberg Austria

We present an innovative L-shaped trifocal system involving a high-end main camera with a compact assistant stereo rig attached to it. The system can accurately reconstruct dense disparity information which enables the creation and processing of high-quality 3D film content based on virtual view synthesis. In particular, our system provides compactness and increased flexibility in the spatial camera arrangement, improving upon previous approaches which have focused on linear camera arrays. We provide technical details on our whole workflow, ranging from the hardware design to the key algorithms including rectification, disparity computation and virtual view synthesis based on inter-camera mapping. A subjective evaluation based on a user study demonstrates the effectiveness of our proposed approach in terms of quality of the 3D viewing experience.

关键词： Cameras Three-dimensional displays Lenses Color Image color analysis Hardware Production

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Coevolutionary modeling in network formation

Coevolutionary modeling in network formation

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IEEE Global Conference on Signal and Information Processing (GlobalSIP)

作者： Ibrahim Al-Shyoukh Georgios Chasparis Jeff S. Shamma Georgia Institute of Technology Atlanta GA US Department of Data Analysis Systems Software Competence Center Hagenberg GmbH Hagenberg Austria CEMSE Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA

ISBN: (纸本)9781479970896

Network coevolution, the process of network topology evolution in feedback with dynamical processes over the network nodes, is a common feature of many engineered and natural networks. In such settings, the change in network topology occurs at a comparable time scale to nodal dynamics. Coevolutionary modeling offers the possibility to better understand how and why network structures emerge. For example, social networks can exhibit a variety of structures, ranging from almost uniform to scale-free degree distributions. While current models of network formation can reproduce these structures, coevolutionary modeling can offer a better understanding of the underlying dynamics. This paper presents an overview of recent work on coevolutionary models of network formation, with an emphasis on the following three settings: (i) dynamic flow of benefits and costs, (ii) transient link establishment costs, and (iii) latent preferential attachment.

关键词： Network topology Biological system modeling Economics Topology Nash equilibrium Educational institutions Cost function

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