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Fahrzeugstruktur
(2023)
Um sowohl Treibhausgas-Emissionen zu verringern als auch Kraftstoffressourcen zu schonen, wird zunehmend an einer Transformation konventionell angetriebener Kraftfahrzeuge hin zu elektrifizierten Antriebskonzepten gearbeitet. Basierend auf herkömmlichen Fahrzeugen mit Verbrennungsmotor wurde eine Vielzahl neuer Antriebssysteme mit verschiedenem Elektrifizierungsgrad entwickelt. Mitte der 1990er-Jahre kamen erste Fahrzeuge mit einem Hybridantrieb auf den Markt. Die Kombination aus Verbrennungs- und Elektromotor erlaubt eine Verbrauchsreduktion und Bremsenergierückgewinnung sowie lokal emissionsfreies Fahren.
This paper introduces an inexpensive Wiegand-sensor-based rotary encoder that avoids rotating magnets and is suitable for electrical-drive applications. So far, Wiegand-sensor-based encoders usually include a magnetic pole wheel with rotating permanent magnets. These encoders combine the disadvantages of an increased magnet demand and a limited maximal speed due to the centripetal force acting on the rotating magnets. The proposed approach reduces the total demand of permanent magnets drastically. Moreover, the rotating part is manufacturable from a single piece of steel, which makes it very robust and cheap. This work presents the theoretical operating principle of the proposed approach and validates its benefits on a hardware prototype. The presented proof-of-concept prototype achieves a mechanical resolution of 4.5 ° by using only 4 permanent magnets, 2Wiegand sensors and a rotating steel gear wheel with 20 teeth.
Die kulturgeschichtlichen Stationen des Spielens vom Beginn der Industrialisierung bis zur Jahrtausendwende werden sowohl aus dem Blickwinkel der Designgeschichte als auch aus dem der Game Studies betrachtet. Die Bandbreite der Themen reicht von der Bauhaus-Wurfpuppe bis zur Barbie, vom Japonismus bis zur Pixelgrafik, von der grafischen Raumillusion zu 3D-Umgebungen und Interaktionsgestaltung, vom Brettspiel bis zum Kriegsspielzeug, von den Utopien der beginnenden Neuzeit bis zu merkantilen Absichten digitaler Spielkonzepte.
Das vorliegende Buch dient als Grundlage für die Bachelor- und Master-Ausbildung von Studierenden im Fachgebiet Strömungslehre und Aerodynamik. Im hier behandelten Teilbereich der inkompressiblen Profile und Tragflügelaerodynamik werden schwerpunktmäßig die folgenden Themen besprochen:
- Profilaerodynamik
- Tragflügelaerodynamik
- Flugzeugpolare
- Methoden zur Flugbereichserweiterung
- Schwebeschub und Schwebeleistung
- Propellerblattaerodynamik
- Numerische Methoden zur Tragflügelberechnung
AI-based systems are nearing ubiquity not only in everyday low-stakes activities but also in medical procedures. To protect patients and physicians alike, explainability requirements have been proposed for the operation of AI-based decision support systems (AI-DSS), which adds hurdles to the productive use of AI in clinical contexts. This raises two questions: Who decides these requirements? And how should access to AI-DSS be provided to communities that reject these standards (particularly when such communities are expert-scarce)? This chapter investigates a dilemma that emerges from the implementation of global AI governance. While rejecting global AI governance limits the ability to help communities in need, global AI governance risks undermining and subjecting health-insecure communities to the force of the neo-colonial world order. For this, this chapter first surveys the current landscape of AI governance and introduces the approach of relational egalitarianism as key to (global health) justice. To discuss the two horns of the referred dilemma, the core power imbalances faced by health-insecure collectives (HICs) are examined. The chapter argues that only strong demands of a dual strategy towards health-secure collectives can both remedy the immediate needs of HICs and enable them to become healthcare independent.
Due to the decarbonization of the energy sector, the electric distribution grids are undergoing a major transformation, which is expected to increase the load on the operating resources due to new electrical loads and distributed energy resources. Therefore, grid operators need to gradually move to active grid management in order to ensure safe and reliable grid operation. However, this requires knowledge of key grid variables, such as node voltages, which is why the mass integration of measurement technology (smart meters) is necessary. Another problem is the fact that a large part of the topology of the distribution grids is not sufficiently digitized and models are partly faulty, which means that active grid operation management today has to be carried out largely blindly. It is therefore part of current research to develop methods for determining unknown grid topologies based on measurement data. In this paper, different clustering algorithms are presented and their performance of topology detection of low voltage grids is compared. Furthermore, the influence of measurement uncertainties is investigated in the form of a sensitivity analysis.
Autonomous agents require rich environment models for fulfilling their missions. High-definition maps are a well-established map format which allows for representing semantic information besides the usual geometric information of the environment. These are, for instance, road shapes, road markings, traffic signs or barriers. The geometric resolution of HD maps can be as precise as of centimetre level. In this paper, we report on our approach of using HD maps as a map representation for autonomous load-haul-dump vehicles in open-pit mining operations. As the mine undergoes constant change, we also need to constantly update the map. Therefore, we follow a lifelong mapping approach for updating the HD maps based on camera-based object detection and GPS data. We show our mapping algorithm based on the Lanelet 2 map format and show our integration with the navigation stack of the Robot Operating System. We present experimental results on our lifelong mapping approach from a real open-pit mine.
Coupé Nr. 13
(2023)
Coupé Nr. 13 ist eine kurze Animation über ein Zugcoupé mit 6 individuellen Passagieren und den 5 Stufen der Kommunikationsentwicklung zwischen ihnen. Die Passagiere des "Coupé Nummer 13" werden zu ihrem wahren Ich, wenn sie sich gegenseitig die Kofferklappen öffnen. Doch dieses Offen-Sein ist gar nicht so einfach. Es fühlt sich anfangs verletzlich an, psychologisch nackt und meist ängstlich. Aber diese Verletzlichkeit ist aus psychologischer Sicht der Schlüssel zu engen Beziehungen. Wahre Verbundenheit entsteht nur, wenn man den Weg zur Schattenseite des anderen findet – indem man sie so sieht und annimmt, wie sie wirklich sind. In der Tat bewundern und respektieren wir meistens die Verletzlichkeit anderer Menschen. Wir sehen sie in der Regel als ein Zeichen von Stärke und Mut – nicht von Schwäche.
Das Fußballtrikot – Arbeitsbekleidung, Identifikationsmerkmal, Distinktionsmerkmal? Was ist das Fußballtrikot, was sind seine identitätsstiftenden Merkmale und welche Gestaltungsparameter prägen sein heutiges Aussehen? In dieser Publikation wird die Geschichte des Trikots ebenso wie die äußeren Einflüsse auf sein heutiges Erscheinungsbild dokumentiert und analysiert. Die Publikation definiert die verschiedenen Gestaltungsparameter, erläutert diese und ordnet sie ein. Ebenso wird ein Einblick in den kreativen Gestaltungsprozess von Fußballtrikots gewährt. Das Ziel dieser Publikation besteht darin, das Erscheinungsbild von Trikots zu verstehen und eine kritische Reflexion darüber zu ermöglichen, wie das Fußballtrikot individuell definiert wird.
"News Flow" Nachrichten- und Informationsprozesse im digitalen Wandel. In der digitalen Welt sind wir von Informationen aus unterschiedlichen Medien umgeben. Die ständige Verfügbarkeit führt zu Überforderung und Orientierungslosigkeit. Junge Menschen bevorzugen Streaming und Social Media gegenüber traditionellen Nachrichten. Angesichts globaler Krisen und Desinformation sind innovative Lösungen wichtig, um den Informationsfluss zu verbessern. "News Flow" ist eine digitale Anwendung für Alternativen des Nachrichtenkonsums. Sie berücksichtigt individuelle Bedürfnisse und nutzt moderne Technologien. Durch die visuelle Vermittlung wird das Interesse an Nachrichten gesteigert und junge Zielgruppen angesprochen. Diese Arbeit stellt sich den Herausforderungen des digitalen Wandels im Nachrichtenbereich und eröffnet eine neue Perspektive auf den Nachrichtenkonsum.
„Keine Schmerzen in der Regel“ : Aufklärungskampagne zur Früherkennung der Krankheit Endometriose
(2023)
Jede zehnte Frau hat Endometriose. Hierbei entstehen Zysten und Entzündungen, welche sich beispielsweise an den Eierstöcken ansiedeln können. Wie kann es also sein, dass so viele noch nie was von dieser Erkrankung gehört haben? Mit der online Aufklärungskampagne „ Keine Schmerzen in der Regel“ soll sich das ändern. In vielen Fällen werden Beschwerden der Endometriose fälschlicherweise als normale Menstruationsbeschwerden abgetan. Die Differenzierung zwischen normal und nicht normal misslingt. Die Aufmerksamkeit von Mädchen und Frauen, die sich in den nicht normalen Aspekten wiederfinden, soll erregt werden. Dafür werden vier Symptome visualisiert und gegenübergestellt. Zusätzlich bietet ein Schnellcheck weitere Informationen. Diese Kampagne soll dem Problem der Unbekanntheit von Endometriose entgegenwirken und ein gesellschaftliches Bewusstsein für sie schaffen.
Anti-bias trainings are increasingly demanded and practiced in academia and industry to increase employees’ sensitivity to discrimination, racism, and diversity. Under the heading of “Diversity Management”, anti-bias trainings are mainly offered as one-off workshops intending to raise awareness of unconscious biases, create a diversity-affirming corporate culture, awake 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 anti-bias in adulthood, especially in academia, are very scarce. In order to fill this research gap, the paper explores how sustainable the effects of individual anti-bias trainings on the behavior of participants are. In order to investigate this, participant observation in a qualitative pre-post setting was conducted, analyzing anti-bias trainings 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 anti-bias trainings and show that a target-group adaptive approach is mandatory due to the background of the approach in early childhood education. Therefore, it can be concluded that anti-bias work needs to be adapted to the target group’s needs and reality of life. Furthermore, the study reveals that single anti-bias trainings must be embedded in a holistic diversity management approach to stimulate sustainable reflection processes among the target group. This paper is one of the first to scientifically evaluate anti-bias training effectiveness, especially in engineering sciences and the university context.
The growing body of political texts opens up new opportunities for rich insights into political dynamics and ideologies but also increases the workload for manual analysis. Automated speaker attribution, which detects who said what to whom in a speech event and is closely related to semantic role labeling, is an important processing step for computational text analysis. We study the potential of the large language model family Llama 2 to automate speaker attribution in German parliamentary debates from 2017-2021. We fine-tune Llama 2 with QLoRA, an efficient training strategy, and observe our approach to achieve competitive performance in the GermEval 2023 Shared Task On Speaker Attribution in German News Articles and Parliamentary Debates. Our results shed light on the capabilities of large language models in automating speaker attribution, revealing a promising avenue for computational analysis of political discourse and the development of semantic role labeling systems.
Software development projects often fail because of insufficient code quality. It is now well documented that the task of testing software, for example, is perceived as uninteresting and rather boring, leading to poor software quality and major challenges to software development companies. One promising approach to increase the motivation for considering software quality is the use of gamification. Initial research works already investigated the effects of gamification on software developers and come to promising. Nevertheless, a lack of results from field experiments exists, which motivates the chapter at hand. By conducting a gamification experiment with five student software projects and by interviewing the project members, the chapter provides insights into the changing programming behavior of information systems students when confronted with a leaderboard. The results reveal a motivational effect as well as a reduction of code smells.
Immunosorbent turnip vein clearing virus (TVCV) particles displaying the IgG-binding domains D and E of Staphylococcus aureus protein A (PA) on every coat protein (CP) subunit (TVCVPA) were purified from plants via optimized and new protocols. The latter used polyethylene glycol (PEG) raw precipitates, from which virions were selectively re-solubilized in reverse PEG concentration gradients. This procedure improved the integrity of both TVCVPA and the wild-type subgroup 3 tobamovirus. TVCVPA could be loaded with more than 500 IgGs per virion, which mediated the immunocapture of fluorescent dyes, GFP, and active enzymes. Bi-enzyme ensembles of cooperating glucose oxidase and horseradish peroxidase were tethered together on the TVCVPA carriers via a single antibody type, with one enzyme conjugated chemically to its Fc region, and the other one bound as a target, yielding synthetic multi-enzyme complexes. In microtiter plates, the TVCVPA-displayed sugar-sensing system possessed a considerably increased reusability upon repeated testing, compared to the IgG-bound enzyme pair in the absence of the virus. A high coverage of the viral adapters was also achieved on Ta2O5 sensor chip surfaces coated with a polyelectrolyte interlayer, as a prerequisite for durable TVCVPA-assisted electrochemical biosensing via modularly IgG-assembled sensor enzymes.
Hydrogen peroxide (H₂O₂), a strong oxidizer, is a commonly used sterilization agent employed during aseptic food processing and medical applications. To assess the sterilization efficiency with H₂O₂, bacterial spores are common microbial systems due to their remarkable robustness against a wide variety of decontamination strategies. Despite their widespread use, there is, however, only little information about the detailed time-resolved mechanism underlying the oxidative spore death by H₂O₂. In this work, we investigate chemical and morphological changes of individual Bacillus atrophaeus spores undergoing oxidative damage using optical sensing with trapping Raman microscopy in real-time. The time-resolved experiments reveal that spore death involves two distinct phases: (i) an initial phase dominated by the fast release of dipicolinic acid (DPA), a major spore biomarker, which indicates the rupture of the spore’s core; and (ii) the oxidation of the remaining spore material resulting in the subsequent fragmentation of the spores’ coat. Simultaneous observation of the spore morphology by optical microscopy corroborates these mechanisms. The dependence of the onset of DPA release and the time constant of spore fragmentation on H₂O₂ shows that the formation of reactive oxygen species from H₂O₂ is the rate-limiting factor of oxidative spore death.
Dieses Lehr- und Fachbuch vermittelt anschaulich die Grundlagen der HF-Technik, gibt konkrete Beschreibungen für den Entwurf von linearen Komponenten aus Bauteilen wie auch Leitungen für High-Speed- und HF-Schaltungen. Dem Leser wird vermittelt, wie Bauteile modelliert und Schaltungen synthetisiert und optimiert werden. Mit Hilfe frei verfügbarer Simulationssoftware können GHz-Schaltungen selbst entwickelt werden. Viele Übungsbeispiele ermöglichen die Eigenkontrolle des Wissensstandes. Weiterhin werden komplexe nichtlineare Komponenten wie Hochfrequenzmischer, Oszillatoren und Synthesegeneratoren in ihrer Funktionalität dargestellt. Die neuen Mixed-Mode-Streuparameter sowie deren Leitungs- und Schaltungstechnik für Anwendungen der schnellen Digital- und der modernen HF-Technik sind ausführlich beschrieben. Es wird auf Systeme für folgende Bereiche eingegangen: Streuparametermesstechnik, verschiedene Funktechniken, UHF-RFID und Lokalisierung- und Ortung. Dem Leser wird somit ermöglicht, komplexe GHz-Schaltungen insbesondere mit Halbleiter-, SMD- und LTCC-Schaltungen zu entwickeln.
Der Aufbau und die Entstehung unseres Planeten sind untrennbar mit der Bildung von Gesteinen verbunden – diese setzen sich aus verschiedenen Mineralien zusammen. Sie sind in der Natur weit verbreitet und spielen eine entscheidende Rolle in unserem täglichen Leben. Obwohl vielen Menschen der Nutzen von Bodenschätzen bewusst ist, besteht ein geringes Wissen über deren Vorkommen und Relevanz. Für die wirtschaftliche Entwicklung des Siegerlandes beispielsweise waren der Abbau und der Handel mit Mineralien von großer Bedeutung. Insbesondere der langjährige Abbau von Eisenerz legte den Grundstein für die gesamte Metallindustrie der Region. Die Publikation visualisiert eine umfangreiche Sammlung Siegerländer Mineralien und vermittelt ein grundlegendes Verständnis von Mineralien.
Clinical assessment of newly developed sensors is important for ensuring their validity. Comparing recordings of emerging electrocardiography (ECG) systems to a reference ECG system requires accurate synchronization of data from both devices. Current methods can be inefficient and prone to errors. To address this issue, three algorithms are presented to synchronize two ECG time series from different recording systems: Binned R-peak Correlation, R-R Interval Correlation, and Average R-peak Distance. These algorithms reduce ECG data to their cyclic features, mitigating inefficiencies and minimizing discrepancies between different recording systems. We evaluate the performance of these algorithms using high-quality data and then assess their robustness after manipulating the R-peaks. Our results show that R-R Interval Correlation was the most efficient, whereas the Average R-peak Distance and Binned R-peak Correlation were more robust against noisy data.