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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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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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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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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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Simultaneous online identification and localization of disturbances in power transmission systems

Simultaneous online identification and localization of distu...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： André Kummerow Cristian Monsalve Steffen Nicolai Peter Bretschneider Advanced System Technology (AST) Branch of Fraunhofer IOSB Ilmenau Germany

Within this survey an approach is presented for the simultaneous online identification and localization of grid disturbances in transmission power systems using different techniques for multivariate time series classification. For the generation of the training data dynamic simulations are performed using DIgSILENT ® PowerFactory combined with a Monte Carlo based initial state selection. Within this survey different classifiers are developed and compared with each other including dynamic time warping, support vector machines, shapelets, recurrent neural networks and random forests. The performance is evaluated in terms of classification accuracy and prediction time.

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Development of a manipulatorsystem with several integrated effectors for a small hybrid Remotely Operated Vehicle (ROV)

Development of a manipulatorsystem with several integrated e...

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OCEANS - Europe

作者： Martin Raeder Daniel Weber Helge Renkewitz Thomas Rauschenbach Tom Ströhla Thomas Sattel Insitute for Mechatronics Technical University of Ilmenau Ilmenau Germany Branch of Fraunhofer IOSB Advanced System Technology (AST) Ilmenau Germany

For small hybrid ROV's avoiding additional load during their mission is a crucial aspect. Especially if the task is an underwater manipulation for maintenance reasons. Therefore, it is important to choose suitable manipulators and at the same time to enable a variety of tasks for underwater manipulation. This paper presents an approach to use one manipulator with several effectors, which are interchangeable. The approach aims to guarantee an effective time cost operation as well as a universal usage of the manipulator system and at the same time to keep the overall weight at a certain level.

关键词： Manipulator dynamics Task analysis Wind power generation Actuators Underwater vehicles Maintenance engineering

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Quantum approximate optimization algorithm for qudit systems

arXiv

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arXiv 2022年

作者： Deller, Yannick Schmitt, Sebastian Lewenstein, Maciej Lenk, Steve Federer, Marika Jendrzejewski, Fred Hauke, Philipp Kasper, Valentin Universität Heidelberg Kirchhoff-Institut für Physik Im Neuenheimer Feld 227 Heidelberg69120 Germany Honda Research Institute Europe GmbH Carl-Legien-Str. 30 Offenbach63073 Germany ICFO-Institut de Ciencies Fotoniques The Barcelona Institute of Science and Technology Av. Carl Friedrich Gauss 3 Barcelona08860 Spain ICREA Pg. Lluís Companys 23 Barcelona08010 Spain Fraunhofer IOSB branch Advanced System Technologies IOSB-AST Am Vogelherd 90 Ilmenau98693 Germany INO-CNR BEC Center Department of Physics University of Trento Via Sommarive 14 TrentoI-38123 Italy

A frequent starting point of quantum computation platforms are two-state quantum systems, i.e., qubits. 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 (EV) charging optimization. In addition, we comment on the implementation of constraints and describe three methods to include these into 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 max-k-graph coloring problem. Our work illustrates the flexibility of qudit systems to solve integer optimization problems. Copyright © 2022, The Authors. All rights reserved.

关键词： Qubits

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Market Scenarios for Integration of Distribution system Operators within the Scheduling system

Market Scenarios for Integration of Distribution System Oper...

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International Conference on European Electricity Market, EEM

作者： Bjoern Illing Steffi Naumann Stefan Klaiber Oliver Warweg Fraunhofer IOSB - Advanced System Technology AST Ilmenau Germany

The integration of renewable energy generation into gross electricity consumption is a major target of the German government. This target causes a need of more flexibility within the energy market and the related market processes. Therefore new approaches for optimized operating strategies for a reliable electricity supply system have to be developed. The approach of the coordinated market and grid operation (CMGO) which was developed within the venture REGEES (REGenerative rEnewable Electricity system) represents such a new process to harmonize market and system interests. The influence of this approach on the energy market mostly depends on technical, economic and social conditions. These conditions are described by scenarios. This paper focusses on developing a methodology to design scenarios. This methodology is applied to a case study. Within the market model FENIA the influence on the market in terms of the spot market price of the year 2035 is calculated. Based on these prices an optimization model [2] is used to analyse the effect of the CMGO.

关键词： Adaptation models Load modeling Optimization Electricity supply industry Power generation Predictive models Task analysis

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Achievable revenues for electric vehicles according to current and future energy market conditions

Achievable revenues for electric vehicles according to curre...

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International Conference on European Electricity Market, EEM

作者： Bjoern Illing Oliver Warweg Fraunhofer IOSB - Advanced System Technology AST Ilmenau Germany

Electric vehicles (EV) play a crucial role within the changing global and national energy policies. Thereby the market integration creates more difficulties than the technical feasibility. The controlled charging of EVs offers a possibility to trade at the energy as well as the reserve power market. A few business cases exist by which new actors like i.e. aggregators can obtain revenue. But exact figures of revenues are lacking. Thus general statements of the cost efficiency of EV market integration are missing. This paper analyses the latest development in German energy policy concerning its influence on current and future market conditions. A business model is developed to fit these market conditions. Using a holistic simulation model the revenues of EV integration are calculated depending on the market conditions, the business model as well as the regarded market. The result is the evaluation of the energy markets and shows which market is best suited to forward the electric vehicle integration.

关键词： Fuels Europe

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Intraday charging restrictions for electric vehicles with consideration to grid capacities

Intraday charging restrictions for electric vehicles with co...

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IEEE International Energy Conference and Exhibition (EnergyCon)

作者： Therese Klarner Alexander Arnoldt Oliver Warweg Fraunhofer Advanced System Technology (AST) Branch of Fraunhofer IOSB Ilmenau Germany

ISBN: (纸本)9781467384643

The stability of the electrical infrastructures is challenged by the volatile feed in of renewable energy and non-stationary loads such as electric vehicles (EV). This work presents an approach for controlled charging of private consumers integrated in a control cascade. The approach has been validated by simulation, which bases on mathematical optimization, and furthermore within a field test.

关键词： Load modeling Optimization Schedules Vehicles Linear programming Feeds Mathematical model

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