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Roedunet International Conference (RoEduNet)

作者： Cristian Vizitiu Ioan Turcin Kevin Alexander Dominey Selver Softic Adrian-Cătălin Dinculescu Vlad I. Bocăneţ Cosmin Dugan Sorin-Aurel Moraru The Space Applications and Technologies Laboratory Institute of Space Science -Subsidiary of INFLPR Magurele Romania Department of Automatics and Information Technology Faculty of Electrical Engineering and Computer Science Transilvania University of Brasov Brasov Romania Department Automation Technology CAMPUS 02 University of Applied Sciences Graz Austria Department IT & Business Informatics CAMPUS 02 University of Applied Sciences Graz Austria Department of Manufacturing Engineering Faculty of Industrial Engineering Robotics and Production Management Technical University of Cluj-Napoca Cluj-Napoca Romania Bucharest University Emergency Hospital Bucharest Romania

ISBN: (数字)9798331540388

ISBN: (纸本)9798331540395

Perspiration is a physiological response in high-stress situations, that also plays a key role in thermoregulation and stress management. Understanding perspiration patterns is used for assessing physiological responses and optimizing human performance especially in professions such as emergency medical services and military operations, as well as for individuals exposed to Isolated Confined Extreme (ICE) environments such as astronauts and space analog mission participants. This paper defines a Digital Twin (DT) model, that will be integrated with an existing physical sweat simulator module (SSM) prototype. Its goal is to simulate human perspiration under high-stress conditions by integrating environmental, physiological, and psychological data. The system architecture is developed via Model-Based Systems Engineering (MBSE). The scope of the designed virtual model is to accurately reflect physical perspiration, detect abnormal perspiration patterns, and generate recommendations regarding stress countermeasures. The goal is to influence the behavioral and/or physiological state of the physical twin, thereby creating a dynamic, responsive system. Machine learning (ML) models will be used to identify patterns in the environmental, physiological, and psychological inputs and predict sweat volume, chemical composition, and regional sweat distributions across the body. ML will also be used to detect abnormal perspiration patterns based on input data. The application of generative AI for creating test data from simulation templates is anticipated to facilitate the comparative analysis of two to three distinct profiles, such as astronauts, soldiers, and paramedics or firefighters, using simulated values. The SSM, with its integrated sensors, will serve the dual purpose of validating the model and providing realistic physical simulation.

关键词： Adaptation models Generative AI Psychology Human factors Machine learning Predictive models Physiology Digital twins Modeling Biomedical monitoring

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3Dprinted highly compact varifocal optics

3Dprinted highly compact varifocal optics

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Imaging Systems and Applications, ISA 2020 - Part of Imaging and applied Optics Congress 2020

作者： Sieber, Ingo Thelen, Richard Gengenbach, Ulrich Karlsruhe Institute of Technology Institute for Automation and Applied Informatics Hermann-von-Helmholtz-Platz 1 Eggenstein-Leopoldshafen76344 Germany Karlsruhe Institute of Technology Institute of Microstructure Technology - KNMF Hermann-von-Helmholtz-Platz 1 Eggenstein-Leopoldshafen76344 Germany

Surface measurements of a high-resolution 3Dprinted rotation optics are compared to nominal shape to deduce improvements of process parameters. Feeding back the data into the model allows for usage as digital twin for... 详细信息

ISBN: (纸本)9781557528209

关键词： Optimization

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Uncertainty Quantification for Optimal Power Flow Problems

Uncertainty Quantification for Optimal Power Flow Problems

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90th Annual Meeting of the International Association of applied Mathematics and Mechanics, GAMM 2019

作者： Mühlpfordt, Tillmann Hagenmeyer, Veit Faulwasser, Timm Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany

The need to de-carbonize the current energy infrastructure, and the increasing integration of renewables pose a number of difficult control and optimization problems. Among those, the optimal power flow (OPF) problem—i.e., the task to minimize power system operation costs while maintaining technical and network limitations—is key for operational planning of power systems. The influx of inherently volatile renewable energy sources calls for methods that allow to consider stochasticity directly in the OPF problem. Here, we present recent results on uncertainty quantification for OPF problems. Modeling uncertainties as second-order continuous random variables, we will show that the OPF problem subject to stochastic uncertainties can be posed as an infinite-dimensional L2-problem. A tractable reformulation thereof can be obtained using polynomial chaos expansion (PCE), under mild assumptions. We will show advantageous features of PCE for OPF subject to stochastic uncertainties. For example, multivariate non-Gaussian uncertainties can be considered easily. Finally, we comment on recent progress on a Julia package for PCE. © 2019 The Authors Proceedings in applied Mathematics & Mechanics published by Wiley-VCH Verlag GmbH & Co. KGaA Weinheim.

关键词： Uncertainty analysis

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Comparison of planar crane models 19

Comparison of planar crane models

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19th Conference on applied Mathematics, APLIMAT 2020

作者： Grosinger, Patrik Šolek, Peter Rybár, Jan Institute of Applied Mechanics and Mechatronics Faculty of Mechanical Engineering Slovak University of Technology in Bratislava Námestie slobody 17 Bratislava812 31 Slovakia Institute of Automation Measurement and Applied Informatics Slovak University of Technology in Bratislava Mýtna 36 Bratislava811 07 Slovakia

ISBN: (纸本)9788022749831

This article focuses on analyzing various controlled planar dynamic crane models and provides simulations of multiple used approaches. A number of publications are devoted to the control of a plane crane model. This simplifying circumstance is justified, and most bridge cranes allow only one direction to shift the payload. It is therefore acceptable to replace this spatial system with a planar one. And the simplest controlled linearized model without friction and damping, non-linear model without friction and damping, and both mentioned models considering rolling friction between trolley and its rails. Models with viscous damping will not be considered because this damping is small for cranes. This article provides a comparison of individual computational approaches as well as comparisons with real-world crane response. Finally, there is a suitable and simple method of linearized system control with respect to rolling friction, which consists of a combination of feedback linearization method and PPM method. © 19th Conference on applied Mathematics, APLIMAT 2020 Proceedings. All rights reserved.

关键词： Feedback linearization

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Future Networks 2030: Challenges in Intelligent Transportation Systems 8

Future Networks 2030: Challenges in Intelligent Transportati...

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8th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2020

作者： Pop, Madalin-Dorin Pandey, Jitendra Ramasamy, Velmani University of Timioara Automation and Applied Informatics Timioara Romania Middle East College Department of Computing Muscat Oman Siddhartha Institute of Technology and Sciences Department of Electronics and Communication Engineering Narapally Hyderabad India

ISBN: (纸本)9781728170169

Many cities around the world implement the Intelligent Transportation Systems (ITS) concept to reduce road traffic congestion. This concept implies the usage of Internet of Things (IoT) technologies to ensure a better traffic flow, especially in crowded urban areas. Sensors networks became part of road infrastructure and have as main responsibilities to collect real-time traffic data and to send them to Traffic Management Centres (TMCs) which control further the traffic lights timings. Today's technologies meet some limitations in terms of efficiency. This paper starts with an overview of these limitations to create a path for discussing the challenges that the development of ITS will meet in the context of Future Networks (FN) 2030 concept. Based on this development path, the identification of current limitations and possible future challenges consists of an important step of this research. Further, the main contribution in this research is to show how the ITS shall adapt to meet the requirements of FN 2030 by providing an architecture for Future ITS 2030 that meets the general ITS needs. © 2020 IEEE.

关键词： Internet of things

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NFDI4Energy Task Area 4: FAIR Data for Energy System Research

NFDI4Energy Task Area 4: FAIR Data for Energy System Researc...

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2023 Designing Futures: Zukunfte gestalten, INFORMATIK 2023 - 2023 Designing Futures: Shaping the Future, INFORMATIK 2023

作者： Wein, Amanda Reinkensmeier, Jan Weidlich, Anke Lilliestam, Johan Hagenmeyer, Veit Richter, Mascha Auer, Sören Nieße, Astrid Lehnhoff, Sebastian OFFIS E.V. RandD Division Energy Escherweg 2 Oldenburg26121 Germany Friedrichstr. 39 Freiburg79110 Germany Friedrich-Alexander-Universität Erlangen-Nörnberg Lehrstuhl for Sustainability Transition Policy Lange Gasse 20 Nörnberg90403 Germany Karlsruhe Institute of Technology Institute for Automation and Applied Informatics Kaiserstr. 89 Karlsruhe76131 Germany Reiner Lemoine Institut GGmbH Research Unit Transformation of Energy Systems Rudower Chaussee 12 Berlin12489 Germany Technische Informationsbibliothek Data Science and Digital Libraries Research Group Welfengarten 1 B Hannover30167 Germany Carl von Ossietzky Universität Oldenburg Department for Informatik Ammerländer Heerstr. 114-118 Oldenburg26129 Germany

ISBN: (纸本)9783885797319

The NFDI4Energy consortium will create a research data infrastructure for energy system research, emphasizing the openness and FAIRness of data and models in this research domain. Within the consortium, Task Area 4 focuses on the development of resources and services that will provide a semantic layer for the overall platform built by NFDI4Energy. The team of this Task Area will produce artifacts including a domain ontology, metadata standards, a knowledge graph, a Persistent Identifier service, and integration infrastructure to join these artifacts to the NFDI4Energy platform. © 2023 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Metadata

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Approaches for Solution-Processed Encapsulation of Printed Medical Wearable Devices

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Current Directions in Biomedical Engineering 2020年第3期6卷

作者： Chen, Zehua Gengenbach, Ulrich Koker, Liane Mansour, Maher Institute of Automation and Applied Informatics (IAI) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany German-Jordanian University Amman Jordan

Wearable medical devices offer a great opportunity to monitor human vital signs to improve healthcare. The use of printing technologies is a promising approach to fabricate the wearables. An encapsulation must be applied to achieve longterm stability and reliability of the printed wearables. In this paper, we discuss the encapsulation requirements of printed wearable medical devices. Different encapsulation approaches are illustrated by means of various examples. Thereby, the focus lies upon solution-processed encapsulation, including the compatible materials and printing technologies. © 2020 by Walter de Gruyter Berlin/Boston.

关键词： Medical applications

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On Optimal Control of Flat Hybrid Automata

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IFAC-PapersOnLine 2020年第2期53卷 6800-6805页

作者： Frederik Zahn Tobias Kleinert Veit Hagenmeyer Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany Chair of Process Control Engineering RWTH Aachen University Aachen Germany

Recently, Flat Hybrid Automata (FHA) were introduced as a new model class of hybrid systems. In order to answer the evident question of an optimal operation of the new class of FHA, a well-posed optimization problem definition for FHA is presented. This problem formulation also includes costs on discrete–state transitions and switching actions. We present a solution for a reduced problem: FHA with autonomous switching. For these, a new algorithm is introduced which solves the optimal control problem. The application of this optimization algorithm is shown with an electrical network example.

关键词： Flat hybrid automata differential flatness hybrid switched systems modeling optimal control of hybrid systems

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Introduction to MATLAB

Advanced Textbooks in Control and Signal Processing

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Advanced Textbooks in Control and Signal Processing 2019年 1-27页

作者： Keviczky, László Bars, Ruth Hetthéssy, Jenő Bányász, Csilla Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary

MATLAB™ is an interactive environment for scientific and engineering calculations, simulations, and data visualization. MATLAB™ provides a powerful platform to solve mathematical and engineering problems related to matrix algebra, differential equations, etc. MATLAB is especially effective in solving control problems. SIMULINK provides block-oriented simulation. The chapter gives a short introduction to MATLAB and SIMULINK. © Springer Nature Singapore Pte Ltd. 2019.

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Tool for Diagnosis of Stochastic Automata

Tool for Diagnosis of Stochastic Automata

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International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)

作者： Štefan Krištofik Jana Flochová Institute of Informatics Slovak Academy of Sciences Bratislava Slovakia Institute of Applied Informatics Automation and Mechatronics Slovak University of Technology Trnava Slovakia

The following topics are dealt with: medical signal processing; field programmable gate arrays; time-digital conversion; electrocardiography; medical signal detection; signal sampling; signal processing; digital signa... 详细信息

ISBN: (数字)9781728195810

ISBN: (纸本)9781728195827

关键词： Automata Stochastic processes Tools Converters Finite element analysis Operating systems informatics

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