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Obstacle avoidance is critical for unmanned aerial vehicles (UAVs) operating autonomously. Obstacle avoidance algorithms either rely on global environment data or local sensor data. Local path planners react to unforeseen objects and plan purely on local sensor information. Similarly, animals need to find feasible paths based on local information about their surroundings. Therefore, their behavior is a valuable source of inspiration for path planning. Bumblebees tend to fly vertically over far-away obstacles and horizontally around close ones, implying two zones for different flight strategies depending on the distance to obstacles. This work enhances the local path planner 3DVFH* with this bio-inspired strategy. The algorithm alters the goal-driven function of the 3DVFH* to climb-preferring if obstacles are far away. Prior experiments with bumblebees led to two definitions of flight zone limits depending on the distance to obstacles, leading to two algorithm variants. Both variants reduce the probability of not reaching the goal of a 3DVFH* implementation in Matlab/Simulink. The best variant, 3DVFH*b-b, reduces this probability from 70.7 to 18.6% in city-like worlds using a strong vertical evasion strategy. Energy consumption is higher, and flight paths are longer compared to the algorithm version with pronounced horizontal evasion tendency. A parameter study analyzes the effect of different weighting factors in the cost function. The best parameter combination shows a failure probability of 6.9% in city-like worlds and reduces energy consumption by 28%. Our findings demonstrate the potential of bio-inspired approaches for improving the performance of local path planning algorithms for UAV.
Companies often build their businesses based on product information and therefore try to automate the process of information extraction (IE). Since the information source is usually heterogeneous and non-standardized, classic extract, transform, load techniques reach their limits. Hence, companies must implement the newest findings from research to tackle the challenges of process automation. They require a flexible and robust system that is extendable and ensures the optimal processing of the different document types. This paper provides a distributed microservice architecture pattern that enables the automated generation of IE pipelines. Since their optimal design is individual for each input document, the system ensures the ad-hoc generation of pipelines depending on specific document characteristics at runtime. Furthermore, it introduces the automated quality determination of each available pipeline and controls the integration of new microservices based on their impact on the business value. The introduced system enables fast prototyping of the newest approaches from research and supports companies in automating their IE processes. Based on the automated quality determination, it ensures that the generated pipelines always meet defined business requirements when they come into productive use.
Background
Hip fractures are a common and costly health problem, resulting in significant morbidity and mortality, as well as high costs for healthcare systems, especially for the elderly. Implementing surgical preventive strategies has the potential to improve the quality of life and reduce the burden on healthcare resources, particularly in the long term. However, there are currently limited guidelines for standardizing hip fracture prophylaxis practices.
Methods
This study used a cost-effectiveness analysis with a finite-state Markov model and cohort simulation to evaluate the primary and secondary surgical prevention of hip fractures in the elderly. Patients aged 60 to 90 years were simulated in two different models (A and B) to assess prevention at different levels. Model A assumed prophylaxis was performed during the fracture operation on the contralateral side, while Model B included individuals with high fracture risk factors. Costs were obtained from the Centers for Medicare & Medicaid Services, and transition probabilities and health state utilities were derived from available literature. The baseline assumption was a 10% reduction in fracture risk after prophylaxis. A sensitivity analysis was also conducted to assess the reliability and variability of the results.
Results
With a 10% fracture risk reduction, model A costs between $8,850 and $46,940 per quality-adjusted life-year ($/QALY). Additionally, it proved most cost-effective in the age range between 61 and 81 years. The sensitivity analysis established that a reduction of ≥ 2.8% is needed for prophylaxis to be definitely cost-effective. The cost-effectiveness at the secondary prevention level was most sensitive to the cost of the contralateral side’s prophylaxis, the patient’s age, and fracture treatment cost. For high-risk patients with no fracture history, the cost-effectiveness of a preventive strategy depends on their risk profile. In the baseline analysis, the incremental cost-effectiveness ratio at the primary prevention level varied between $11,000/QALY and $74,000/QALY, which is below the defined willingness to pay threshold.
Conclusion
Due to the high cost of hip fracture treatment and its increased morbidity, surgical prophylaxis strategies have demonstrated that they can significantly relieve the healthcare system. Various key assumptions facilitated the modeling, allowing for adequate room for uncertainty. Further research is needed to evaluate health-state-associated risks.
In this work, the bioabsorbable materials, namely fibroin, polylactide acid (PLA), magnesium and magnesium oxide are investigated for their application as transient, resistive temperature detectors (RTD). For this purpose, a thin-film magnesium-based meander-like electrode is deposited onto a flexible, bioabsorbable substrate (fibroin or PLA) and encapsulated (passivated) by additional magnesium oxide layers on top and below the magnesium-based electrode. The morphology of different layered RTDs is analyzed by scanning electron microscopy. The sensor performance and lifetime of the RTD is characterized both under ambient atmospheric conditions between 30°C and 43°C, and wet tissue-like conditions with a constant temperature regime of 37°C. The latter triggers the degradation process of the magnesium-based layers. The 3-layers RTDs on a PLA substrate could achieve a lifetime of 8.5 h. These sensors also show the best sensor performance under ambient atmospheric conditions with a mean sensitivity of 0.48 Ω/°C ± 0.01 Ω/°C.
In comparison to single-analyte devices, multiplexed systems for a multianalyte detection offer a reduced assay time and sample volume, low cost, and high throughput. Herein, a multiplexing platform for an automated quasi-simultaneous characterization of multiple (up to 16) capacitive field-effect sensors by the capacitive–voltage (C–V) and the constant-capacitance (ConCap) mode is presented. The sensors are mounted in a newly designed multicell arrangement with one common reference electrode and are electrically connected to the impedance analyzer via the base station. A Python script for the automated characterization of the sensors executes the user-defined measurement protocol. The developed multiplexing system is tested for pH measurements and the label-free detection of ligand-stabilized, charged gold nanoparticles.
Achieving the 17 Sustainable Development Goals (SDGs) set by the United Nations (UN) in 2015 requires global collaboration between different stakeholders. Industry, and in particular engineers who shape industrial developments, have a special role to play as they are confronted with the responsibility to holistically reflect sustainability in industrial processes. This means that, in addition to the technical specifications, engineers must also question the effects of their own actions on an ecological, economic and social level in order to ensure sustainable action and contribute to the achievement of the SDGs. However, this requires competencies that enable engineers to apply all three pillars of sustainability to their own field of activity and to understand the global impact of industrial processes. In this context, it is relevant to understand how industry already reflects sustainability and to identify competences needed for sustainable development.
Durch die Kombination von Merkmalen verschiedener Leuchtentypen erfüllt Glow up eine Vielzahl von Bedürfnissen in unterschiedlichsten Szenarien. Bei einer Nachtwanderung erhellt sie den Weg oder sie spendet Geborgenheit, wenn Kinder sich vor der Dunkelheit beim Einschlafen fürchten. Die Anpassbarkeit der Leuchte steht im Mittelpunkt und ermöglicht die Einstellung von Helligkeit und Lichttemperatur sowie den Wechsel zwischen direktem und indirektem Licht. Mit einer Vielzahl von Befestigungsmöglichkeiten, auswechselbaren Leuchtenschirmen und kindgerechtem Design ist "Glow up" ein wahres Multitalent und ein enger Begleiter im Alltag.
In today's ultra-connected world, the significance of audio-visual documentation is rapidly growing. Technological advancements have made it more accessible to obtain powerful and compact audio-visual equipment, thereby reducing the dependency on a larger team for the documentation process. This has favoured the development of what is known as backpack journalism.
This project meets an unmet market need and presents an opportunity for innovative product development. It focuses on backpack journalists working in remote and challenging conditions with unpredictable transportation and working conditions. The proposed backpack design addresses both transport and working setups. Offering a robust and waterproof yet overall lightweight construction for easy equipment carrying, while also providing an extension of the workspace for essential gear.
In addition to the technical content, modern courses at university should also teach professional skills to enhance the competencies of students towards their future work. The competency driven approach including technical as well as professional skills makes it necessary to find a suitable way for the integration into the corresponding module in a scalable and flexible manner. Agile development, for example, is essential for the development of modern systems and applications and makes use of dedicated professional skills of the team members, like structured group dynamics and communication, to enable the fast and reliable development. This paper presents an easy to integrate and flexible approach to integrate Scrum, an agile development method, into the lab of an existing module. Due to the different role models of Scrum the students have an individual learning success, gain valuable insight into modern system development and strengthen their communication and organization skills. The approach is implemented and evaluated in the module Vehicle Systems, but it can be transferred easily to other technical courses as well. The evaluation of the implementation considers feedback of all stakeholders, students, supervisor and lecturers, and monitors the observations during project lifetime.
„ALIGN“ ist ein smartes Möbelsystem, das den individuellen Lebensstil und die Werte der heutigen Gesellschaft widerspiegelt. Es bietet ausreichend Stauraum und ermöglicht es, Objekte gezielt in Szene zu setzen oder in den Hintergrund zu rücken. Das vielseitige System passt sich an unterschiedliche Raum- und Nutzungsszenarien an. Es ermöglicht die individuelle Gestaltung des Wohnraums nach persönlichen Vorlieben und hilft, den Herausforderungen des modernen Lebens gerecht zu werden. „ALIGN“ – eine passende Lösung für jedes Problem.
Throughout the last decade, and particularly in 2022, water scarcity has become a critical concern in Morocco and other Mediterranean countries. The lack of rainfall during spring was worsened by a succession of heat waves during the summer. To address this drought, innovative solutions, including the use of new technologies such as hydrogels, will be essential to transform agriculture. This paper presents the findings of a study that evaluated the impact of hydrogel application on onion (Allium cepa) cultivation in Meknes, Morocco. The treatments investigated in this study comprised two different types of hydrogel-based soil additives (Arbovit® polyacrylate and Huminsorb® polyacrylate), applied at two rates (30 and 20 kg/ha), and irrigated at two levels of water supply (100% and 50% of daily crop evapotranspiration; ETc). Two control treatments were included, without hydrogel application and with both water amounts. The experiment was conducted in an open field using a completely randomized design. The results indicated a significant impact of both hydrogel-type dose and water dose on onion plant growth, as evidenced by various vegetation parameters. Among the hydrogels tested, Huminsorb® Polyacrylate produced the most favorable outcomes, with treatment T9 (100%, HP, 30 kg/ha) yielding 70.55 t/ha; this represented an increase of 11 t/ha as compared to the 100% ETc treatment without hydrogel application. Moreover, the combination of hydrogel application with 50% ETc water stress showed promising results, with treatment T4 (HP, 30 kg, 50%) producing almost the same yield as the 100% ETc treatment without hydrogel while saving 208 mm of water.
Eine Sensorvorrichtung (10;110;210;310;410) zur Erfassung eines Magnetfelds, mit einer Wiegand-Sensoreinheit (12;112;212) umfassend: • - mindestens zwei Wiegand-Drähte (20) und • - eine Spulenanordnung (22;122;222), die die mindestens zwei Wiegand-Drähte (20) radial umschließt und die • • • ein Sensorelement (26;126;226) und • • ein Triggerelement (28;128;228), durch das ein Triggermagnetfeld erzeugbar ist, bildet, ist bekannt. Um ein magnetbasiertes Sensorsystem (300;400) zur Erfassung einer Bewegung eines beweglichen Objekts (301;401) zu ermöglichen, das ohne externe Energieversorgung zuverlässig sowie energieeffizient arbeitet und kostengünstig hergestellt werden kann, ist bei der erfindungsgemäßen Sensorvorrichtung (10;110;210;310;410) eine Wiegand-Triggereinheit (14;14a) vorhanden, umfassend: • - einen Wiegand-Draht (30) und • - eine Trigger-Sensorspule (32), die den Wiegand-Draht (30) radial umschließt, wobei ein erstes Ende der Trigger-Sensorspule (32) der Wiegand-Triggereinheit (14;14a) mit einem ersten Ende des Triggerelements (28;128;228) der Wiegand-Sensoreinheit (12;112;212) elektrisch verbunden ist und ein zweites Ende der Trigger-Sensorspule (32) der Wiegand-Triggereinheit (14;14a) mit einem zweiten Ende des Triggerelements (28;128;228) der Wiegand-Sensoreinheit (12;112;212) elektrisch verbunden ist. Auf diese Weise verstärkt ein in der Trigger-Sensorspule (32) erzeugter Impuls das Gesamtmagnetfeld, das auf die Wiegand-Drähte (20) in der Sensoreinheit einwirkt, derart, dass die Triggefeldstärke aller Wiegand-Drähte (20) überschritten wird und diese im wesentlichen zeitgleich auslösen.
Durch das WEMoG (Gesetz v. 16.10.2020, BGBl. I 2187) hat der Gesetzgeber die Regelung des § 20 WEG eingeführt. Demnach ist auch für bauliche Veränderungen an Räumen und Flächen, die einem Sondernutzungsrecht unterliegen, die Zustimmung der Gemeinschaft notwendig. Der BGH hat nun mit Urt. v. 17.3.2023 –V ZR 140/22, MDR 2023, 619 deutlich gemacht, dass bei Fehlen eines entsprechenden Beschlusses, die bauliche Veränderung durch einen einzelnen Wohnungseigentümer nicht vorgenommen werden darf, sondern eine rechtswidrige Eigentumsbeeinträchtigung darstellt. Der folgende Beitrag nimmt die Entscheidung zum Anlass, um die neue Rechtslage durch § 20 WEG eingehend zu erläutern. Gleichzeitig werden die Folgen der aktuellen Entscheidung näher dargestellt.
Pendelleuchte aus Glas
(2023)
Glas ist seit jeher ein faszinierender Werkstoff. Es findet Anwendung in zahlreichen Gebieten und bietet als Material für Leuchten eine besondere Eleganz. Die Pendelleuchte „Calice di fiori“ vereint handwerkliche Kunstfertigkeit und komfortables Design. Sie ist aus mundgeblasenem Glas gefertigt und verleiht durch ihre Färbung eine kraftvolle und dynamische Atmosphäre im Raum. Das besondere Merkmal der Pendelleuchte ist eine Öffnung, die eine einfache und intuitive Montage erleichtert. Die Pendelleuchte ist mit energieeffizienten LEDs ausgestattet und lässt sich mit einem Smart-Home-System bedienen. Die Lichtintensität und Lichtfarbe können den individuellen Bedürfnissen angepasst werden. „Calice di fiori“ mit schnell abnehmbarem Leuchtenschirm fügt sich in modern eingerichtete Räume ein und bringt einen Hauch Blütenflair mit sich.
Der heutige Alltag vieler Menschen ist durch längere Sitz-Einheiten gekennzeichnet, während die körperliche Bewegung vernachlässigt wird. Diese Entwicklung kann einen negativen Einfluss auf die Haltung von Personen und ihre Gesundheit haben. In diesem Fall ist eine korrekte Haltung nicht nur für die körperliche, sondern auch für die psychische Gesundheit von großer Relevanz. Die Bachelorarbeit „LittleHabit“ ermöglicht es, dass bei Kindern die Bewegung nach langen Sitz-Einheiten durch gezieltes Training zur Gewohnheit wird. Hierbei wird zwischen dem Zuhause- und dem Schulbereich differenziert. Zu Hause soll das Kind beim Erledigen der Hausaufgaben durch Animationen und Lichtsignale dazu motiviert werden, Bewegungspausen einzulegen. In der Schule soll dieses Vorhaben in reduzierter Form aufgegriffen und mithilfe von Licht- und Farbsignalen umgesetzt werden. Darüber hinaus fördert es die intrinsische Motivation, sodass Kinder aus eigenem Antrieb ein Interesse dafür entwickeln, sich nach langen Sitz-Einheiten zu bewegen. LittleHabit setzt einen Baustein für die Entwicklung einer gesunden Sitz-Haltung und zielt darauf ab, Haltungsschwächen zu verhindern.
Traditional vulcanization mold manufacturing is complex, costly, and under pressure due to shorter product lifecycles and diverse variations. Additive manufacturing using Fused Filament Fabrication and high-performance polymers like PEEK offer a promising future in this industry. This study assesses the compressive strength of various infill structures (honeycomb, grid, triangle, cubic, and gyroid) when considering two distinct build directions (Z, XY) to enhance PEEK’s economic and resource efficiency in rapid tooling. A comparison with PETG samples shows the behavior of the infill strategies. Additionally, a proof of concept illustrates the application of a PEEK mold in vulcanization. A peak compressive strength of 135.6 MPa was attained in specimens that were 100% solid and subjected to thermal post-treatment. This corresponds to a 20% strength improvement in the Z direction. In terms of time and mechanical properties, the anisotropic grid and isotropic cubic infill have emerged for use in rapid tooling. Furthermore, the study highlights that reducing the layer thickness from 0.15 mm to 0.1 mm can result in a 15% strength increase. The study unveils the successful utilization of a room-temperature FFF-printed PEEK mold in vulcanization injection molding. The parameters and infill strategies identified in this research enable the resource-efficient FFF printing of PEEK without compromising its strength properties. Using PEEK in rapid tooling allows a cost reduction of up to 70% in tool production.
Manufacturing companies across multiple industries face an increasingly dynamic and unpredictable environment. This development can be seen on both the market and supply side. To respond to these challenges, manufacturing companies must implement smart manufacturing systems and become more flexible and agile. The flexibility in operational planning regarding the scheduling and sequencing of customer orders needs to be increased and new structures must be implemented in manufacturing systems’ fundamental design as they constitute much of the operational flexibility available. To this end, smart and more flexible solutions for production planning and control (PPC) are developed. However, scheduling or sequencing is often only considered isolated in a predefined stable environment. Moreover, their orientation on the fundamental logic of the existing IT solutions and their applicability in a dynamic environment is limited. This paper presents a conceptual model for a task-based description logic that can be applied to factory planning, technology planning, and operational control. By using service-oriented architectures, the goal is to generate smart manufacturing systems. The logic is designed to allow for easy and automated maintenance. It is compatible with the existing resource and process allocation logic across operational and strategic factory and production planning.
Melting probes are a proven tool for the exploration of thick ice layers and clean sampling of subglacial water on Earth. Their compact size and ease of operation also make them a key technology for the future exploration of icy moons in our Solar System, most prominently Europa and Enceladus. For both mission planning and hardware engineering, metrics such as efficiency and expected performance in terms of achievable speed, power requirements, and necessary heating power have to be known.
Theoretical studies aim at describing thermal losses on the one hand, while laboratory experiments and field tests allow an empirical investigation of the true performance on the other hand. To investigate the practical value of a performance model for the operational performance in extraterrestrial environments, we first contrast measured data from terrestrial field tests on temperate and polythermal glaciers with results from basic heat loss models and a melt trajectory model. For this purpose, we propose conventions for the determination of two different efficiencies that can be applied to both measured data and models. One definition of efficiency is related to the melting head only, while the other definition considers the melting probe as a whole. We also present methods to combine several sources of heat loss for probes with a circular cross-section, and to translate the geometry of probes with a non-circular cross-section to analyse them in the same way. The models were selected in a way that minimizes the need to make assumptions about unknown parameters of the probe or the ice environment.
The results indicate that currently used models do not yet reliably reproduce the performance of a probe under realistic conditions. Melting velocities and efficiencies are constantly overestimated by 15 to 50 % in the models, but qualitatively agree with the field test data. Hence, losses are observed, that are not yet covered and quantified by the available loss models. We find that the deviation increases with decreasing ice temperature. We suspect that this mismatch is mainly due to the too restrictive idealization of the probe model and the fact that the probe was not operated in an efficiency-optimized manner during the field tests. With respect to space mission engineering, we find that performance and efficiency models must be used with caution in unknown ice environments, as various ice parameters have a significant effect on the melting process. Some of these are difficult to estimate from afar.
Das modulare Regalsystem „MORÉ“ ist ein Stauraummöbel, welches sich im Bereich des (Home) Office einordnet. Das Produkt dient zur Aufbewahrung von Büromaterialien und verbessert die Geräuschkulisse sowie die Beschaffenheit am Arbeitsplatz. Die potenzielle Käufergruppe befindet sich im Alter von 25-67 Jahren, im gewöhnlichen Arbeitsalter Zeitraum (obere Mittelschicht). Im Fokus des Regalsystems steht der besonders freundliche Auf- und Abbau, welcher werkzeuglos erfolgt. Es ist in verschiedene Richtungen erweiterbar (Steckverbindung) und bietet unendlichen Spielraum der Gestaltung. Durch verschiedenfarbige Kennzeichnungen bietet das Regal ein Ordnungssystem, wodurch schnelleres Finden und Sortieren von Unterlagen möglich ist (Grundordnung). Die Rückwände dienen neben der Stabilität als Akustik-/ und Sichtschutz. Das Produkt passt sich jeder Raumsituation individuell an. Ist „MORÉ“ dein nächstes Regalsystem?
Antibias training is increasingly demanded and practiced in academia and industry to increase employees’ sensitivity to discrimination, racism, and diversity. Under the heading of “Diversity Management,” antibias trainings are mainly offered as one-off workshops intending to raise awareness of unconscious biases, create a diversity-affirming corporate culture, promote awareness of the potential of
diversity, and ultimately enable the reflection of diversity in development processes. However, coming from childhood education, research and scientific articles on the sustainable effectiveness of antibias in adulthood, especially in academia, are very scarce. In order to fill this research gap, the article aims to explore how sustainable the effects of individual antibias trainings on participants’ behavior are. In order to investigate this, participant observation in a qualitative pre–post setting was conducted, analyzing antibias training in an academic context. Two observers actively participated in the training sessions and documented the activities and reflection processes of the participants. Overall, the results question the effectiveness of single antibias trainings and show that a target-group adaptive approach is mandatory owing to the background of the approach in early childhood education. Therefore, antibias work needs to be adapted to the target group’s needs and realities of life. Furthermore, the study reveals that single antibias trainings must be embedded in a holistic diversity management approach to stimulate sustainable reflection processes among the target group. This article is one of the first to scientifically evaluate antibias training effectiveness, especially in engineering sciences and the university context.
Vita ist ein Produkt zur Unterstützung von Physiotherapie und Rehabilitation für moderne digitale Profis. Es hilft beim Aufspüren und Erkennen von Haltungsfehlern und gibt positives und sinnvolles Feedback. Ziel des Feedbacks ist es, ein Gefühl des Vertrauens in den Genesungsprozess zu schaffen und durch die Nachahmung der menschlichen Berührung neue, positive Haltungsgewohnheiten zu entwickeln und zu kultivieren.
Künstliche Intelligenz (KI) hat die Designbranche erreicht, doch die Angst, dass KI Designer:innen die Arbeitsplätze wegnimmt, ist unbegründet. Künstliche Intelligenz kann Designer:innen als Werkzeug dienen. Durch das Zusammenspiel von Designer:innen und KI entstehen innerhalb von kürzester Zeit neuartige Kreationen. Das Projekt „Designexperiments with Artificial Intelligence“ ist eine Sammlung von visuellen Experimenten, welche mit der Hilfe von künstlicher Intelligenz durchgeführt wurden. Eines dieser Experimente wird in Form einer Installation ausgestellt. Dabei werden die Besucher*innen aufgefordert mit der Maschine zusammen ein Bild zu gestalten. Dieser Input wird anschließend von einer KI verarbeitet. Das Projekt „Designexperimente with Artificial Intelligence“ ist ein Versuch, mittels künstlicher Intelligenz eine neue Ästhetik zu finden.
Fan sein bedeutet für viele Menschen unterschiedliche Dinge. Viele würden sich selber vielleicht nicht mal als Solche bezeichnen. Nichtsdestotrotz gibt es etwas, das diese Gruppe von Menschen verbindet: Die gemeinsame Leidenschaft für eine bestimmte Sache, die sie im Alltag nicht missen wollen. In Deutschland alleine würden sich 47.900.000 Menschen selber als Fußball-Fan bezeichnen. Und natürlich lässt sich nicht jeder dieser Menschen in den selben Topf werfen. Die Publikation „59 von 47.900.00 Fußball-Fans“ beschäftigt sich mit 59 dieser Fans, verschiedenen Wissenschaftler*innen und Psycholog*innen, um dem Fan-Sein auf den Grund zu gehen. Warum sind Menschen überhaupt Fußball-Fans? Was macht Fan-Sein aus? Und wer sind diese Ultras?
siso - lerne was du willst
(2023)
Kinder konsumieren heutzutage für viele Stunden am Tag soziale Medien. Jedoch sind die Inhalte auf diesen Plattformen oftmals nur oberflächlich und bieten wenig bis keinen Mehrwert durch z. B. zusätzliches Wissen. Dabei lernen Kinder einfacher, wenn ihr Interesse am Thema geweckt ist und sie Spaß an der Beschäftigung haben. Die individuellen Interessen der Kinder – und damit die möglichen Lerninhalte – sind vielfältig. Eine mögliche Lösung hierfür ist siso. Siso ist eine Lernplattform, die sich dadurch auszeichnet, dass Kinder ihren Interessen nachgehen sowie neue Fertigkeiten und Fähigkeiten erlernen können. Des Weiteren regt siso die Nutzer*innen durch Aufgaben dazu an, selbst aktiv zu werden. Durch die in der Anwendung verbaute soziale Komponente können Kinder sich auch über ihre Interessen austauschen und dadurch neue Freunde finden.
Die Auswirkungen psychischer Erkrankungen stellen ein zunehmendes Thema in unserer Gesellschaft dar. Allein in Deutschland erkranken jedes Jahr ein Viertel aller Menschen psychisch. Besonders seit der Pandemie wächst die Nachfrage nach psychotherapeutischer Behandlung stetig an, wodurch die Wartelisten in den Praxen immer länger werden. Betroffene müssen oft ein halbes Jahr oder länger auf einen Therapieplatz warten und sind gezwungen zu nehmen, was gerade frei ist. Dabei ist es für den Therapieerfolg essenziell, dass nicht nur die Therapie auf einen abgestimmt ist, sondern auch die Chemie zwischen Therapeut:in und Patient:in passt. OpenCouch ist eine Anwendung, die Betroffene bei der Therapieplatzsuche unterstützen soll, indem sie Informationen und Tools zur Verfügung stellt, um trotz der geringen Verfügbarkeit einen Therapieplatz finden zu können, der einen Behandlungserfolg garantiert.
Künstliche Intelligenz (KI) wird heute vielfältig eingesetzt, so auch im Bereich der Sprache. Persönliche Assistent:innen und Chatbots beeindrucken, da sie so etwas Vielschichtiges wie die menschliche Sprache beherrschen. Dass Maschinen dabei nur komplexen mathematischen Regeln folgen, ist den meisten klar. Doch was verbirgt sich hinter dem vermeintlichen „Sprachverständnis“ einer KI? Word Embeddings bilden eine numerische Repräsentation von Sprache ab und dienen einem Machine Learning Algorithmus als eine Art „Wortschatz“, mit dem gerechnet werden kann. Das Projekt bildet einen hundertdimensionalen Word Embedding Datensatz auf verschiedene Weise und mittels explorierbarer interaktiver Tools ab. Kombiniert mit Erklärungen und eigenen Erkenntnissen finden sich diese Tools in einem Blog, der fachfremden Einsteigenden ins Thema KI erste tiefergehende Einblicke „hinter die Kulissen“ bieten soll."
Roverandom : eine illustrative Aufarbeitung und Neuinterpretation des Kinderbuches von J.R.R Tolkien
(2023)
Die Geschichte „Roverandom“ von J.R.R Tolkien lädt auf eine spannende Reise an der Seite des kleinen Hundes Rover ein, welche zum Mond und in die Tiefsee, vorbei an Zauberern und Drachen führt. Um das Abenteuer Tolkiens neu aufleben zu lassen, befasst sich dieses Projekt mit der illustrativen Aufarbeitung der Geschichte. Auf Grundlage der Betrachtung von Inspirationen und eigenen Illustrationen des englischen Schriftstellers entwickelte sich eine einheitliche Gestaltung innerhalb des Projekts. Durch die Kombination analoger und digitaler Medien entstanden über 40 Illustrationen, welche verschiedenste Szenen visualisieren und so die Welt des kleinen Hundes Rover auf eine anschauliche Art und Weise darstellen. Die Geschichte „Roverandom“ wird so durch eine ganz eigene Bildsprache visuell begleitet und für interessierte Leser:innen neu geöffnet.
In this paper, we provide an analytical study of the transmission eigenvalue problem with two conductivity parameters. We will assume that the underlying physical model is given by the scattering of a plane wave for an isotropic scatterer. In previous studies, this eigenvalue problem was analyzed with one conductive boundary parameter whereas we will consider the case of two parameters. We prove the existence and discreteness of the transmission eigenvalues as well as study the dependence on the physical parameters. We are able to prove monotonicity of the first transmission eigenvalue with respect to the parameters and consider the limiting procedure as the second boundary parameter vanishes. Lastly, we provide extensive numerical experiments to validate the theoretical work.
New European Union (EU) regulations for UAS operations require an operational risk analysis, which includes an estimation of the potential danger of the UAS crashing. A key parameter for the potential ground risk is the kinetic impact energy of the UAS. The kinetic energy depends on the impact velocity of the UAS and, therefore, on the aerodynamic drag and the weight during free fall. Hence, estimating the impact energy of a UAS requires an accurate drag estimation of the UAS in that state. The paper at hand presents the aerodynamic drag estimation of small-scale multirotor UAS. Multirotor UAS of various sizes and configurations were analysed with a fully unsteady Reynolds-averaged Navier–Stokes approach. These simulations included different velocities and various fuselage pitch angles of the UAS. The results were compared against force measurements performed in a subsonic wind tunnel and provided good consistency. Furthermore, the influence of the UAS`s fuselage pitch angle as well as the influence of fixed and free spinning propellers on the aerodynamic drag was analysed. Free spinning propellers may increase the drag by up to 110%, depending on the fuselage pitch angle. Increasing the fuselage pitch angle of the UAS lowers the drag by 40% up to 85%, depending on the UAS. The data presented in this paper allow for increased accuracy of ground risk assessments.
Die Erbringung einer Leistung in der irrigen Vorstellung einer Bestellung (Zu BGH, MDR 2023, 1439)
(2023)
1. Die Wirksamkeitsvoraussetzungen der Verdachtskündigung gegenüber einem Arbeitnehmer - Jana Scheilen | Seite 4-66
2. Besteuerungsinkongruenzen im Internationalen Steuerrecht - die Umsetzung der ATAD II in Form des § 4k EStG in Bezug auf hybride Gesellschaften und Betriebsstätten
- Max Peiffer | Seite 67-126
3. Der Zuzug einer Gesellschaft aus einem Drittstaat nach Deutschland - Herausforderungen durch die modifizierte Sitztheorie und Lösungsmöglichkeiten
- Anna-Luisa Görlich | Seite 127-189
4. Escalation of Commitment und seine Einflussfaktoren in der unternehmerischen Entscheidungsfindung: Ein Szenario-Experiment
- Theresa Hacke | Seite 190-245
By developing innovative solutions to social and environmental problems, sustainable ventures carry greatpotential. Entrepreneurship which focuses especially on new venture creation can be developed through education anduniversities, in particular, are called upon to provide an impetus for social change. But social innovations are associatedwith certain hurdles, which are related to the multi-dimensionality, i.e. the tension between creating social,environmental and economic value and dealing with a multiplicity of stakeholders. The already complex field ofentrepreneurship education has to face these challenges. This paper, therefore, aims to identify starting points for theintegration of sustainability into entrepreneurship education. To pursue this goal experiences from three differentproject initiatives between the partner universities: Lapland University of Applied Sciences, FH Aachen University ofApplied Sciences and Turiba University are reflected and findings are systematically condensed into recommendationsfor education on sustainable entrepreneurship.
Diese Bachelorarbeit befasst sich mit der digitalen Nachbildung eines Testgeländes sowie eines Schienenfahrzeugs in der Simulationsumgebung Gazebo. Der Schwerpunkt liegt auf der präzisen Abbildung der Umfeldsensorik anhand eines realen Schienenfahrzeuges. Ziel ist die Erzeugung äquivalenter Messdaten der Simulationsumgebung und des realen Schienenfahrzeuges unter gleichen Einsatzbedingungen. Dazu werden unterschiedliche Verfahren eingesetzt, um die Parameter der einzelnen Sensorik so zu konfigurieren, dass die Messergebnisse mit den Messdaten der realen Sensorik konvergieren.
Die Ergebnisse der Messdaten zeigen, dass obwohl die Simulationsumgebung einige physikalische Materialeigenschaften nicht berücksichtigt, eine präzise Abbildung der Sensorik und geometrischen Strukturen des Testgeländes möglich ist. Darüber hinaus ermöglicht die Kombination von Gazebo und ROS2 Integrationstests und die Entwicklung von Softwareanwendungen sowohl in der Simulation als auch auf dem realen Schienenfahrzeug. Eine realitätsnahe und reproduzierbare Auswertung der Sensormessdaten der Simulationsumgebung für Schienenfahrzeuge ist somit realisierbar.
Formine 2023 : Concezione II
(2023)
Der diesjährige Workshop steht im Zeichen der räumlichen Konzeption. Das Erfahren und Definieren des engsten, ganz eigenen Betrachtungsraums, bis hin zur weitläufigen öffentlichen Umgebung des Ortes ist hierbei der erste Schritt. Hierzu stehen alle konzeptionellen Werkzeuge – von der Entwicklung vereinzelter Skizzenabfolgen, bis hin zur Collage - in den ersten Tagen des Workshops zur Verfügung.
All diese Überlegungen, Konzepte und Entwürfe werden in eine Plastik überführt.
This study describes the development of a new combined polysaccharide-matrix-based technology for the immobilization of Lactobacillus rhamnosus GG (LGG) bacteria in biofilm form. The new composition allows for delivering the bacteria to the digestive tract in a manner that improves their robustness compared with planktonic cells and released biofilm cells. Granules consisting of a polysaccharide matrix with probiotic biofilms (PMPB) with high cell density (>9 log CFU/g) were obtained by immobilization in the optimized nutrient medium. Successful probiotic loading was confirmed by fluorescence microscopy and scanning electron microscopy. The developed prebiotic polysaccharide matrix significantly enhanced LGG viability under acidic (pH 2.0) and bile salt (0.3%) stress conditions. Enzymatic extract of feces, mimicking colon fluid in terms of cellulase activity, was used to evaluate the intestinal release of probiotics. PMPB granules showed the ability to gradually release a large number of viable LGG cells in the model colon fluid. In vivo, the oral administration of PMPB granules in rats resulted in the successful release of probiotics in the colon environment. The biofilm-forming incubation method of immobilization on a complex polysaccharide matrix tested in this study has shown high efficacy and promising potential for the development of innovative biotechnologies.
Market abstraction of energy markets and policies - application in an agent-based modeling toolbox
(2023)
In light of emerging challenges in energy systems, markets are prone to changing dynamics and market design. Simulation models are commonly used to understand the changing dynamics of future electricity markets. However, existing market models were often created with specific use cases in mind, which limits their flexibility and usability. This can impose challenges for using a single model to compare different market designs. This paper introduces a new method of defining market designs for energy market simulations. The proposed concept makes it easy to incorporate different market designs into electricity market models by using relevant parameters derived from analyzing existing simulation tools, morphological categorization and ontologies. These parameters are then used to derive a market abstraction and integrate it into an agent-based simulation framework, allowing for a unified analysis of diverse market designs. Furthermore, we showcase the usability of integrating new types of long-term contracts and over-the-counter trading. To validate this approach, two case studies are demonstrated: a pay-as-clear market and a pay-as-bid long-term market. These examples demonstrate the capabilities of the proposed framework.
Ein neues tragendes, lagenweise aufgebautes Holzbau-Wandsystem und seine ökonomische und statische Entwicklung werden vorgestellt. Randbedingungen wie Nachhaltigkeit, Ressourceneffizienz und eine beanspruchungsadaptive Konstruktionsweise sind für diese innovative Bauteilentwicklung von zentraler Bedeutung. Eine wesentliche Herausforderung ist die Herstellung der Verbindung der Lagen untereinander zu einem bauphysikalisch und statisch leistungsfähigen Wandsystem. Die Tragfähigkeit und Steifigkeit verschiedener Verbindungsvarianten wurden ebenso wie die Eigenschaften der Wandelemente analytisch, numerisch und experimentell untersucht.
06| Warum es gemeinsam besser geht
10| Interview
14| Wer ist hier der Boss?
18| Schnittstelle zwischen Mensch und Technik
22| Zweite Heimat Jülich
28| Zwischen Angst und Hoffnung
32| Eine Sternstunde für die FH Aachen
36| Gegen alle Widerstände
38| Ein Ort, der bleibt
42| Der Aufblühende
46| Der Computer sitzt am Steuer
52| Da geht das Herz auf
54| Hoch hinaus
58| Beratungsangebote
60| Das alte Schätzchen
The feasibility study presents results of a hydrogen combustor integration for a Medium-Range aircraft engine using the Dry-Low-NOₓ Micromix combustion principle. Based on a simplified Airbus A320-type flight mission, a thermodynamic performance model of a kerosene and a hydrogen-powered V2530-A5 engine is used to derive the thermodynamic combustor boundary conditions. A new combustor design using the Dry-Low NOx Micromix principle is investigated by slice model CFD simulations of a single Micromix injector for design and off-design operation of the engine. Combustion characteristics show typical Micromix flame shapes and good combustion efficiencies for all flight mission operating points. Nitric oxide emissions are significant below ICAO CAEP/8 limits. For comparison of the Emission Index (EI) for NOₓ emissions between kerosene and hydrogen operation, an energy (kerosene) equivalent Emission Index is used.
A full 15° sector model CFD simulation of the combustion chamber with multiple Micromix injectors including inflow homogenization and dilution and cooling air flows investigates the combustor integration effects, resulting NOₓ emission and radial temperature distributions at the combustor outlet. The results show that the integration of a Micromix hydrogen combustor in actual aircraft engines is feasible and offers, besides CO₂ free combustion, a significant reduction of NOₓ emissions compared to kerosene operation.
In order to reduce energy consumption of homes, it is important to make transparent which devices consume how much energy. However, power consumption is often only monitored aggregated at the house energy meter. Disaggregating this power consumption into the contributions of individual devices can be achieved using Machine Learning. Our work aims at making state of the art disaggregation algorithms accessibe for users of the open source home automation platform Home Assistant.
Die Erfindung betrifft eine Vorrichtung zur Bestimmung einer Relativlage zwischen einem feststehenden Teil und einem zu demselben in eine Bewegungsrichtung bewegbaren beweglichen Teil, wobei der feststehende Teil mit einem Wiegandsensor versehen ist, wobei der Wiegandsensor zwischen zwei gegenpolig zueinander ausgebildeten Permanentmagneten angeordnet ist und dass der bewegliche Teil eine Mehrzahl von beabstandet zueinander angeordneten Magnetisierungsstegen aus einem magnetisch leitenden Material aufweist, die in der Bewegungsrichtung zumindest eine gleich große Erstreckung aufweisen wie der Permanentmagnet, dass ein Abstand zwischen benachbarten Magnetisierungsstegen derart gewählt ist, dass in einer ersten Relativlage ein erster Permanentmagnet von einem der Magnetisierungsstege überdeckt ist und ein zweiter Permanentmagnet nicht von einem der Magnetisierungsstege überdeckt ist.
Residential and commercial buildings account for more than one-third of global energy-related greenhouse gas emissions. Integrated multi-energy systems at the district level are a promising way to reduce greenhouse gas emissions by exploiting economies of scale and synergies between energy sources. Planning district energy systems comes with many challenges in an ever-changing environment. Computational modelling established itself as the state-of-the-art method for district energy system planning. Unfortunately, it is still cumbersome to combine standalone models to generate insights that surpass their original purpose. Ideally, planning processes could be solved by using modular tools that easily incorporate the variety of competing and complementing computational models. Our contribution is a vision for a collaborative development and application platform for multi-energy system planning tools at the district level. We present challenges of district energy system planning identified in the literature and evaluate whether this platform can help to overcome these challenges. Further, we propose a toolkit that represents the core technical elements of the platform. Lastly, we discuss community management and its relevance for the success of projects with collaboration and knowledge sharing at their core.
The integration of high temperature thermal energy storages into existing conventional power plants can help to reduce the CO2 emissions of those plants and lead to lower capital expenditures for building energy storage systems, due to the use of synergy effects [1]. One possibility to implement that, is a molten salt storage system with a powerful power-to-heat unit. This paper presents two possible control concepts for the startup of the charging system of such a facility. The procedures are implemented in a detailed dynamic process model. The performance and safety regarding the film temperatures at heat transmitting surfaces are investigated in the process simulations. To improve the accuracy in predicting the film temperatures, CFD simulations of the electrical heater are carried out and the results are merged with the dynamic model. The results show that both investigated control concepts are safe regarding the temperature limits. The gradient controlled startup performed better than the temperature-controlled startup. Nevertheless, there are several uncertainties that need to be investigated further.
Despite the challenges of pioneering molten salt towers (MST), it remains the leading technology in central receiver power plants today, thanks to cost effective storage integration and high cost reduction potential. The limited controllability in volatile solar conditions can cause significant losses, which are difficult to estimate without comprehensive modeling [1]. This paper presents a Methodology to generate predictions of the dynamic behavior of the receiver system as part of an operating assistance system (OAS). Based on this, it delivers proposals if and when to drain and refill the receiver during a cloudy period in order maximize the net yield and quantifies the amount of net electricity gained by this. After prior analysis with a detailed dynamic two-phase model of the entire receiver system, two different reduced modeling approaches where developed and implemented in the OAS. A tailored decision algorithm utilizes both models to deliver the desired predictions efficiently and with appropriate accuracy.
This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep association tracker for Tracking-By-Detection, to address the challenging task of tracking flight paths of bumblebees in a social group. While tracking algorithms for bumblebees exist, they often come with intensive restrictions, such as the need for sufficient lighting, high contrast between the animal and background, absence of occlusion, significant user input, etc. Tracking flight paths of bumblebees in a social group is challenging. They suddenly adjust movements and change their appearance during different wing beat states while exhibiting significant similarities in their individual appearance. The MBT3D tracker, developed in this research, is an adaptation of an existing ant tracking algorithm for bumblebee tracking. It incorporates an offline trained appearance descriptor along with a Kalman Filter for appearance and motion matching. Different detector architectures for upstream detections (You Only Look Once (YOLOv5), Faster Region Proposal Convolutional Neural Network (Faster R-CNN), and RetinaNet) are investigated in a comparative study to optimize performance. The detection models were trained on a dataset containing 11359 labeled bumblebee images. YOLOv5 reaches an Average Precision of AP = 53, 8%, Faster R-CNN achieves AP = 45, 3% and RetinaNet AP = 38, 4% on the bumblebee validation dataset, which consists of 1323 labeled bumblebee images. The tracker’s appearance model is trained on 144 samples. The tracker (with Faster R-CNN detections) reaches a Multiple Object Tracking Accuracy MOTA = 93, 5% and a Multiple Object Tracking Precision MOTP = 75, 6% on a validation dataset containing 2000 images, competing with state-of-the-art computer vision methods. The framework allows reliable tracking of different bumblebees in the same video stream with rarely occurring identity switches (IDS). MBT3D has much lower IDS than other commonly used algorithms, with one of the lowest false positive rates, competing with state-of-the-art animal tracking algorithms. The developed framework reconstructs the 3-dimensional (3D) flight paths of the bumblebees by triangulation. It also handles and compares two alternative stereo camera pairs if desired.
Today’s society is undergoing a paradigm shift driven by the megatrend of sustainability. This undeniably affects all areas of Western life. This paper aims to find out how the luxury industry is dealing with this change and what adjustments are made by the companies. For this purpose, interviews were conducted with managers from the luxury industry, in which they were asked about specific measures taken by their companies as well as trends in the industry. In a subsequent evaluation, the trends in the luxury industry were summarized for the areas of ecological, social, and economic sustainability. It was found that the area of environmental sustainability is significantly more focused than the other sub-areas. Furthermore, the need for a customer survey to validate the industry-based measures was identified.