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OCEANS

作者： Ganzorig Baatar Linda Ritzau Divas Karimanzira Thomas Rauschenbach Advanced System Technology (AST) Branch of IOSB Fraunhofer-Institute IOSB Ilmenau Germany

ISBN: (数字)9798331540081

ISBN: (纸本)9798331540098

This paper presents a robust real-time object detection approach utilizing sonar imagery from forward looking sonar systems, aimed at enhancing navigation and obstacle avoidance algorithms for autonomous underwater vehicles (AUVs). Effective autonomous navigation of an underwater vehicle ne-cessitates precise knowledge of the surrounding environment. While cameras are often employed for near field environmental scanning, they encounter significant challenges such as turbidity and light absorption, which can compromise the reliability of visual data. In contrast forward looking sonar provide reliable measurements and detailed environmental information. However, the sonar images pose their own challenges, including low resolution and substantial noise, complicating the accurate identification of visual features. To address these issues, we propose a novel sonar image preprocessing method designed to improve object detection. This method involves systematically moving a predetermined-size window (in meters) across the sonar image, extracting data from various positions to create smaller, fixed-size images. The window size is determined by the sonar device's range setting ensuring that the extracted images will represent a consistent area of the underwater environment. Hence, extracted images consistently represent specific areas of the underwater environment. These preprocessed images are then utilized for training object detection models and as input for detection tasks. This preprocessing step significantly enhances the stability and reliability of target object detection making it compatible with a wide range of existing object detection models.

关键词： Training Visualization Sonar measurements Training data Object detection Sonar navigation Feature extraction Reliability Detection algorithms Sonar detection

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Constrained Grover Adaptive Search for Optimization of the Bidirectional EV Charging Problem

Constrained Grover Adaptive Search for Optimization of the B...

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

作者： Federer, Marika Lenk, Steve Mössig, Daniel Wappler, Markus Lässig, Jörg Fraunhofer IOSB-AST Dep. Cognitive Energy Systems Görlitz Germany Fraunhofer IOSB Branch Advanced System Technologies IOSB-AST Cognitive Energy Systems Wilhelmsplatz 11 Görlitz02826 Germany University of Applied Sciences Zittau/Görlitz Bröckenstraße 1 Görlitz02826 Germany

ISBN: (纸本)9783885797319

The optimization problem of bidirectional electrical vehicle charging (Vehicle-To-Home) becomes more and more important with rising energy prices and the required reduction of CO2 emissions. We maximize the usage of local solar power generation, while minimizing the power grid usage. This is constrained by the energy demand of the household and the required state of charge at departure as well as the idle times of the car at home. The problem is formulated as a Constrained Polynomial Binary Optimization (CPBO) problem, which is convenient for Grover Adaptive Search by representing the objective function and the constraints as a Quantum Dictionary. © 2023 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Constrained optimization

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Concept and Design of a Prototype Autonomous, Modular Subsea Bottom Station

Concept and Design of a Prototype Autonomous, Modular Subsea...

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2023 MTS/IEEE U.S. Gulf Coast, OCEANS 2023

作者： Rautmann, Louis Leon Witte, Jan Emter, Thomas Ahmed, Minhaz Rieck, Burkhard Renkewitz, Helge Kosleck, Sascha University of Rostock Dept. of Ocean Engineering Rostock Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation Iosb Karlsruhe Germany Fraunhofer Institute for Silicon Technology Isit Itzehoe Germany Evologics GmbH Berlin Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB-AST Ilmenau Germany

ISBN: (纸本)9798218142186

This paper deals with the introduction of a novel concept of a customisable, modular and autonomous subsea bottom station (BASE). The subsea station will be supported by a floating surface unit ensuring cloud data connection as well as including MEMS-based energy harvesting and spaces for additional sensors. The concept not only serves as a long-term survey station or lander in the classical sense. It shall also operate as the main hub for a future underwater communications network and as a service station for underwater vehicles, such as AUVs, operating in the area. This paper aims to introduce the overall system and to showcase concepts of selected subsystems. © 2023 The Marine technology Society (MTS).

关键词： Data acquisition

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Influence Estimation In Multi-Step Process Chains Using Quantum Bayesian Networks

Influence Estimation In Multi-Step Process Chains Using Quan...

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2022 Informatik in den Naturwissenschaften, INFORMATIK 2022 - 2022 Computer Science in the Natural Sciences, INFORMATIK 2022

作者： Selch, Maximilian Müssig, Daniel Hänel, Albrecht Lässig, Jörg Ihlenfeldt, Steffen Fraunhofer Institute for Machine Tools and Forming Technology IWU Department Digital Production Twin Nöthnitzer Straße 44 Dresden01187 Germany Fraunhofer IOSB Branch Advanced System Technologies IOSB-AST Cognitive Energy Systems Wilhelmsplatz 11 Görlitz02826 Germany

ISBN: (纸本)9783885797203

Digital representatives of physical assets and process steps play a decisive role in analysing properties and evaluating the quality of the process. So-called digital twins acquire all relevant planning and process data, which provide the basis, for example, to investigate path accuracies in manufacturing. Each single process step aims to perform an ideal machining after the specification of a target geometry. However, the practical implementation of a step usually shows deviations from the targeted shape. The machine-learning based method of probabilistic Bayesian networks enables the quality estimation of the holistic process chain as well as improvements by targeted considerations of single steps and influence factors. However, the handling of large-scale Bayesian networks requires a high computational effort, whereas the processing with quantum algorithms holds potential improvements in storage and performance. Based on the issue of path accuracy, this paper considers the modelling and influence estimation for a milling operation including experiments on superconducting quantum hardware. © 2022 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Bayesian networks

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Quantum Computer and Quantum Algorithm Benchmarking

Quantum Computer and Quantum Algorithm Benchmarking

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2022 Informatik in den Naturwissenschaften, INFORMATIK 2022 - 2022 Computer Science in the Natural Sciences, INFORMATIK 2022

作者： Müssig, Daniel Lässig, Jörg Fraunhofer IOSB Branch Advanced System Technologies IOSB-AST Cognitive Energy Systems Wilhelmsplatz 11 Görlitz02826 Germany University of Applied Sciences Zittau/Görlitz Brückenstraße 1 Görlitz02826 Germany

ISBN: (纸本)9783885797203

Quantum computing is an exciting field, which brought out many competitors, both on the hardware and algorithmic side. Although users are not expecting to outperform classical machines yet, they are still interested in quantum computers, which can demonstrate advantages of their algorithms best [Ar19]. However, for users, especially in the industry, it is not easy to find a quantum device, which fits their needs. This problem arises from an unmanageable amount of meta information about qubits and connections between them such as fidelity, error rates and timings. In this paper we propose a web tool, which helps the user to find quantum computers best suited for their problem or quantum algorithm. Further, it will generate necessary graphs and reports for benchmark studies, which can be directly included in papers of scientists. © 2022 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Qubits

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Concept and Design of a Prototype Autonomous, Modular Subsea Bottom Station

Concept and Design of a Prototype Autonomous, Modular Subsea...

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OCEANS

作者： Louis Leon Rautmann Jan Witte Thomas Emter Minhaz Ahmed Burkhard Rieck Helge Renkewitz Sascha Kosleck Dept. of Ocean Engineering University of Rostock Rostock Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB Karlsruhe Germany Fraunhofer Institute for Silicon Technology ISIT Itzehoe Germany Evologics GmbH Berlin Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB-AST Ilmenau Germany

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Simulation based design of an UVC-LED emitter for disinfection of high-touch environmental surfaces

Simulation based design of an UVC-LED emitter for disinfecti...

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Energy Efficiency in Domestic Appliances and Lighting & International Symposium on the Science and technology of Lighting (EEDAL/LS:17), Joint Conference - International Conference on

作者： Thorsten Mally Linda Steinhäußer Thomas Westerhoff Ulla König Fraunhofer IOSB IOSB-AST Ilmenau Fraunhofer Insiute of Optronics System Technologies and Image Exploitation Fraunhofer-Gesellschaft Ilmenau Germany Electron Beam and Plasma Technology (FEP) Fraunhofer-Gesellschaft Fraunhofer Institute for Organic Electronics Dresden Germany

ISBN: (数字)9782492754005

ISBN: (纸本)9781665431439

Healthcare-associated infections (HAIs) are a serious problem. Many studies showed that high-touch environmental surfaces can take part in the transmission of HAIs. Helping to reduce these transmissions an UVC-LED emitter is developed, which can be carried by an autonomous robotic platform. It can disinfect environmental surfaces within a clinical environment with UV-C light. The performance of the device was experimentally tested with two pathogens Escherichia coli (E. coli) and Bacillus subtilis (B. subtilis) spores. A 3-5 log reduction can be achieved within 4 s irradiation time. Further investigations are made by simulation typical environmental surfaces. In this study we aim on the disinfection of contamination hotspots like light switches and door handles. On the light switch surface it can reach a dose of almost $400\mathrm{J}/ \mathrm{m}^{2}$ within 4 s. The door handle is more challenging due to its geometry. To improve the irradiation of the backside a foil of sintered PTFE can be attached to the door surface to increase the reflectivity. With the PTFE attached a 3-4 log reduction can be achieved for E. coli and B. subtilis spores.

关键词： Reflectivity Performance evaluation Geometry Radiation effects Pathogens Microorganisms Surface contamination

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Attacking dynamic power system control centers - a cyber-physical threat analysis

Attacking dynamic power system control centers - a cyber-phy...

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Innovative Smart Grid Technologies (ISGT)

作者： André Kummerow Dennis Rüsch Steffen Nicolai Christoph Brosinsky Dirk Westermann André Naumann Fraunhofer IOSB IOSB-AST Ilmenau Germany Power System Group Ilmenau University of Technology Ilmenau Germany Convergent Supply Infrastructures Fraunhofer IFF Magdeburg Germany

ISBN: (数字)9781728188973

ISBN: (纸本)9781728188980

In dynamic control centers, conventional SCADA systems are enhanced with novel assistance functionalities to increase existing monitoring and control capabilities. To achieve this, different key technologies like phasor measurement units (PMU) and Digital Twins (DT) are incorporated, which give rise to new cyber-security challenges. To address these issues, a four-stage threat analysis approach is presented to identify and assess system vulnerabilities for novel dynamic control center architectures. For this, a simplified risk assessment method is proposed, which allows a detailed analysis of the different system vulnerabilities considering various active and passive cyber-attack types. Qualitative results of the threat analysis are presented and discussed for different use cases at the control center and substation level.

关键词： Substations Power system dynamics SCADA systems Phasor measurement units Smart grids Risk management Monitoring

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Quantum approximate optimization algorithm for qudit systems

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Physical Review A 2023年第6期107卷 062410-062410页

作者： Yannick Deller Sebastian Schmitt Maciej Lewenstein Steve Lenk Marika Federer Fred Jendrzejewski Philipp Hauke Valentin Kasper Universität Heidelberg Kirchhoff-Institut für Physik Im Neuenheimer Feld 227 69120 Heidelberg Germany Honda Research Institute Europe GmbH Carl-Legien-Straße 30 63073 Offenbach Germany ICFO-Institut de Ciencies Fotoniques The Barcelona Institute of Science and Technology Avenida Carl Friedrich Gauss 3 08860 Barcelona Spain ICREA Passeig Lluís Companys 23 08010 Barcelona Spain Advanced System Technologies IOSB-AST Fraunhofer IOSB Am Vogelherd 90 98693 Ilmenau Germany INO-CNR BEC Center and Department of Physics University of Trento Via Sommarive 14 I-38123 Trento Italy

A frequent starting point of quantum computation platforms is the two-state quantum system, i.e., the qubit. However, in the context of integer optimization problems, relevant to scheduling optimization and operations research, it is often more resource-efficient to employ quantum systems with more than two basis states, so-called qudits. Here, we discuss the quantum approximate optimization algorithm (QAOA) for qudit systems. We illustrate how the QAOA can be used to formulate a variety of integer optimization problems such as graph coloring problems or electric vehicle charging optimization. In addition, we comment on the implementation of constraints and describe three methods to include these in a quantum circuit of a QAOA by penalty contributions to the cost Hamiltonian, conditional gates using ancilla qubits, and a dynamical decoupling strategy. Finally, as a showcase of qudit-based QAOA, we present numerical results for a charging optimization problem mapped onto a maximum-k-graph-coloring problem. Our work illustrates the flexibility of qudit systems to solve integer optimization problems.

关键词： Bose gases Long-range interactions Quantum algorithms Quantum optics Atomic gases Trapped ions

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Optimized energy generation for rural areas

Optimized energy generation for rural areas

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International Conference on European Electricity Market, EEM

作者： Bjoern Illing Liane Rublack Fraunhofer IOSB - Advanced System Technology AST lmenau Germany Fraunhofer Advanced System Technology AST Ilmenau Germany

Energy efficiency and energy savings are not just challenges for urban areas, but also rural areas have to be addressed. Mostly rural communities neither have sufficient knowledge nor the financial capabilities to implement necessary measures. Such communities need simple and understandable advices to improve its energetic surrounding. This paper presents an approach to optimize the energy generation depending on the community's energy demand and the investment costs. The developed tool allows each community to create the most suitable set of generation devices. Furthermore we discuss the influencing parameters on the optimization model and its outcome. The results base on real data of reference communities.

关键词： Resistance heating Optimization Investment Biological system modeling Mathematical model Buildings Linear programming

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