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Managing the coal exit in a mining region - Strategic landscape design and niche management for a sustainable socio-technical regime in Lusatia1
No full text83118In the course of the European Green Deal, which defines the goal of “no net emissions of greenhouse gases in 2050" (European Commission, 2019, p. 2) and a supply of “clean, affordable and secure energy” (p. 3), the European energy sector needs a rapid and significant sustainability transition. In Germany, the federal government has accordingly decided to phase out energy production from lignite-fired power plants by 2038 at the latest. Most affected regional ecosystems in Germany are the Lusatia mining region (Lausitzer Revier), the Rhenish mining region (Rheinisches Revier) and the Middle German mining region (Mitteldeutsches Revier). In these regions, fundamental sustainability transitions have to take place
A Framework for Strategic Planning Adaptation in Smart Cities through Recurrent Neural Networks
No full text6577In the Smart city environment, sustainable sewage and wastewater management planning plays a crucial role in industry development. Wastewater management is a serious issue with inadequate treatment, which reduces the smart city efficiency. Therefore, this research work concentrates on creating the Strategic Planning Adaption framework (SP-AF) using the Recurrent Neural Networks (RNN). This framework intends to manage the sewage and wastewater in smart cities. The sewage-related information is continuously collected by a recurrent network that identifies and tracks the wastewater and sewage in the smart city. The SP-AF framework analyses sustainable planning and managing wastewater by understanding the waste origin. In addition, the framework has been generated by understanding the wastewater knowledge, and the required actions are carried out. Then the effectiveness of the wastewater management system efficiency is compared with the existing approaches.9
Cable detection and position estimation in a camera-based drone guidance system for autonomous sensor node attachment on transmission lines
No full textWith the shift towards volatile, renewable energy resources, monitoring high-voltage power transmission lines becomes essential for optimizing load and ensuring safety. The ASTROSE-System developed by Fraunhofer enables decentral-ized monitoring through self-sufficient sensor nodes that are directly attached to the power transmission lines and measure line tilt, line torsion, and current. However, the installation of the sensor nodes is a very ex-pensive process, as it currently requires trained workers, special equipment, and a power shutdown of the corresponding cable. An autonomous installation via drones would help, but without a power shutdown strong electromagnetic fields around the transmission lines disturb the operation of a GPS- or manually-controlled drone system. In this work, we propose a computer vision algorithm for a camera-based drone guidance system that allows the drone to orient itself and navigate relative to the cable positions. The algorithm consists of cable detection, cable extraction, and 3D stereo-matching for positioning and orientation measurements of transmission lines. The cable detection algorithm deploys a Gaussian second derivative filter to find the center of the cables. Only the detected centerlines are considered afterward in a robust and simple 3D stereo-matching algorithm, hence avoiding the complexity of the general problem. We then track the cables over time and predict the drone position relative to the cables with a simplified motion model and a Kalman filter. The algorithm and position and orientation measurements are implemented in Python and tested in a simulation environment using Blender
Inspection of the First Chirped Volume Bragg Gratings Realized by Means of fs Laser Phase Mask Inscription in Fused Silica
No full textStudy of optical and spectral properties of the first fs-laser-inscribed fused silica chirped volume Bragg gratings is performed. The perspective of the new technology, and agreement between the calculated and measured parameters, are demonstrated
Impact of High-K Deposition Process on the Noise Immunity of FeFETs and their Applicability Towards In-Memory-Computing
No full textThis article reports the impact of the high-k material deposition process on the low-frequency noise and reliability of hafnium oxide-based (HfO2) ferroelectric field-effect transistors (FeFET). A significant influence of the deposition method on the defect densities and, subsequently, on the low-frequency noise of FeFETs was observed. Furthermore, a correlation with the reliability behavior was found, and improved pathways were identified. Finally, the impact of the FeFET's reliability on in-memory-computing (IMC) applications was simulated
LLM-Supported Manufacturing Mapping Generation
No full text5:15:22In large manufacturing companies, such as Bosch, that operate thousands of production lines with each comprising up to dozens of production machines and other equipment, even simple inventory questions such as of location and quantities of a particular equipment type require non-trivial solutions. Addressing these questions requires to integrate multiple heterogeneous data sets which is time consuming and error prone and demands domain as well as knowledge experts. Knowledge graphs (KGs) are practical for consolidating inventory data by bringing it into the same format and linking inventory items. However, the KG creation and maintenance itself pose challenges as mappings are needed to connect data sets and ontologies. In this work, we address these challenges by exploring LLM-supported and context-enhanced generation of both YARRRML and RML mappings. Facing large ontologies in the manufacturing domain and token limitations in LLM prompts, we further evaluate ontology reduction methods in our approach. We evaluate our approach both quantitatively against reference mappings created manually by experts and, for YARRRML, also qualitatively with expert feedback. This work extends the exploration of the challenges with LLM-supported and context-enhanced mapping generation YARRRML [Schmidt et al., 2025] by comprehensive analyses on RML mappings and an ontology reduction evaluation. We further publish the source code of this work. Our work provides a valuable support when creating manufacturing mappings and supports data and schema updates.3
5G NTN LEO Based Demonstrator Using OpenAirInterface5G
No full text69753GPP Release-17 formally recognizes Non-Terrestrial Network (NTN) components as an integral part of future telecommunication networks. The integration of 5G with NTN has gained significant traction due to the joint effort from academia, industry, and government space agencies. The first phase of 5G-NTN prototype development has been successful using GEO satellites. Moving ahead, LEO satellites can provide higher data rates and lower latency compared to GEO. In this paper, we discuss the 3GPP Release-17 compliant cross-layered adaptations done in OpenAirInterface5G during the project 5G-LEO (OpenAirInterface5G Extension for 5G Satellite Links). 5G-LEO aims to provide direct access to 5G services to a ground UE via a transparent payload LEO satellite. To the best of our knowledge, 5G-LEO is the first work involving the adaptation of 5G protocol addressing the challenges presented by the LEO satellite channel for example high and time-varying Doppler, Round-Trip-Time; and frequent handover. A Software Defined Radio-based end-to-end demonstrator has been developed during the project. Results from the experiments conducted during functional validation over the demonstrator are presented in this work. Our initial experiments show promising results and the feasibility of direct access to 5G services through transparent payload LEO satellites
Anwendung von Ethik und Responsible Research auf der Projektebene (RESILOC). Umsetzung und Erkenntnisse von Ethics Requirements im RESILOC Projekt
No full textDer Vortrag spricht über mögliche Maßnahmen um ethische Interaktion, etische Ergebnisse in EU Projekten zu erreichen. Er hebt hervor, dass das "Ethics Monitoring" für die Research Executive Agency (REA) an Bedeutung gewinnt. und dass es wichtig ist die Verantwortung früh, wenn möglich bis zum Anwender der Lösung, zu übertragen um Einschränkungen in der Nutzung ´/ Nutzbarkeit zu vermeiden. Hierzu müssen relevante Ethikorgane aktiv und ansprechbar sein (funktionale Mailadresse). Zugleich braucht es eine statische Informationsgrundlage die verständlich und abrufbar ist und über die sich Partner dauerhaft informieren können. Flow Charts sind eine klare Bereicherung innerhalb dieser statischen Informationsgrundlage und seitens REA gern gesehen. Informationsgrundlagen. Ethik Risiken sollten aktiv gemanagt werden ein Ethik Risiko Register kann hilfreich sein, um Risiken, die local auftreten im Zeitverlauf zu bewerten und Transparenz für andere Partner zu schaffen
Low Temperature Soldering of Laser Structured and Metal Coated Fiber-Reinforced Plastic
No full text569577Fiber-reinforced plastics (FRP) exhibit excellent mechanical properties combined with low density. Thermoset FRP and metals are mainly connected by mechanical joining processes or adhesive bonding. Mechanical joining processes deteriorate the mechanical properties of the FRP by cutting the fibers. Adhesives require a long curing time and lead to inseparable material compounds. A new approach of joining FRP and metals is a laser pre-treatment process before functionalization of the plastic based substrate by a wire-arc sprayed coating process. Afterwards, the joining process of the coated FRP with a metallic counterpart is carried out by a low temperature soldering process. Due to the massively enlarged interface area resulting from laser structuring, bond strengths of up to 15.5 MPa could be achieved
Occupational Accident Prevention Training through Experiencing Stories of Success in Time Travel Prevention Games
No full text123137Fiction is an ancient virtual reality technology that specializes in simulating human problems. The stories told are the media and, according to Marshall McLuhan, the medium is the message. The technology is interwoven with up to date digital media design and information technologies including artificial intelligence (AI). According to Keith Oatley, stories are the flight simulators of human social life. From the many fields of human life, emphasis is put on the training of occupational accident prevention. The potential of storytelling is deployed for the prevention of accidents to preserve human lives, to avoid human injuries, the damage of installations and financial losses. Aiming at effectiveness and sustainability, the task under consideration is the interdisciplinary design of spaces of stories with a high educational potential. The authors abandon the educational paradigm of telling stories of disaster. Interactive digital storytelling is tailored to allow for unprecedented learner engagement in stories of success. Prevention training is designed to appear playfully based on the original concept of time travel prevention games. Trainees who failed to complete their task - thereby possibly ruining a (fortunately only virtual) technical installation - are enabled to travel back in time to do better the next time. AI guides the trainees to a success of their own. In the condition of training with time travel prevention games, designing spaces of stories to be experienced playfully is an ambitious variant of gamification. The design of stories in story spaces is a particularly complex case of dynamic AI planning. Patterns that occur in story spaces wrap educational theory as well as ideas of game design. The plan generation concepts foster interdisciplinary co-operation of educators, domain experts, VR specialists, game designers, psychologists, and others in creating spaces of affective stories of success.18