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Unmanned Aerial Vehicles (UAV) constantly gain in versatility. However, more reliable path planning algorithms are required until full autonomous UAV operation is possible. This work investigates the algorithm 3DVFH* and analyses its dependency on its cost function weights in 2400 environments. The analysis shows that the 3DVFH* can find a suitable path in every environment. However, a particular type of environment requires a specific choice of cost function weights. For minimal failure, probability interdependencies between the weights of the cost function have to be considered. This dependency reduces the number of control parameters and simplifies the usage of the 3DVFH*. Weights for costs associated with vertical evasion (pitch cost) and vicinity to obstacles (obstacle cost) have the highest influence on the failure probability of the local path planner. Environments with mainly very tall buildings (like large American city centres) require a preference for horizontal avoidance manoeuvres (achieved with high pitch cost weights). In contrast, environments with medium-to-low buildings (like European city centres) benefit from vertical avoidance manoeuvres (achieved with low pitch cost weights). The cost of the vicinity to obstacles also plays an essential role and must be chosen adequately for the environment. Choosing these two weights ideal is sufficient to reduce the failure probability below 10%.
Mehr als 400.000 Menschen in Deutschland sind von Parkinson betroffen, dennoch bleibt diese neurodegenerative Krankheit oft im Schatten anderer Erkrankungen. Diese Bachelorarbeit beleuchtet die Unsichtbarkeit von Parkinson im öffentlichen Raum und setzt sich für eine breitere Aufklärung ein. Durch ein neues Corporate Design der Deutschen Parkinson Gesellschaft sowie begleitende Maßnahmen wird angestrebt, Informationen über die Krankheit zu verbreiten und Einblicke in die Lebensumstände der Betroffenen zu gewähren. Dies trägt nicht nur zu einer frühzeitigen Diagnosestellung bei, sondern ermöglicht auch eine verbesserte Unterstützung für Patient:innen und ihre Angehörigen. Ein Aufruf, gemeinsam mit den Betroffenen Vorurteile zu überwinden und Parkinson sichtbar zu machen. Mit dem Ziel Parkinson irgendwann heilem zu können.
This study presents the concept of AstroBioLab, an autonomous astrobiological field laboratory tailored for the exploration of (sub)glacial habitats. AstroBioLab is an integral component of the TRIPLE (Technologies for Rapid Ice Penetration and subglacial Lake Exploration) DLR-funded project, aimed at advancing astrobiology research through the development and deployment of innovative technologies. AstroBioLab integrates diverse measurement techniques such as fluorescence microscopy, DNA sequencing and fluorescence spectrometry, while leveraging microfluidics for efficient sample delivery and preparation.
Träume hoch, klein Dani!
(2024)
"Träume hoch, klein Dani!” ist ein Pappkinderbuch mit Schieb- und Drehfunktionen für Kinder ab 3 Jahren. Diese Bachelorarbeit beinhaltet das Schreiben einer Kindergeschichte, das Gestalten der Illustrationen, das Konzeptionieren der interaktiven Funktionen und das Binden und Bauen des Buches. Gut gestaltete Kinderbücher spielen eine entscheidende Rolle bei der Entwicklung von Kindern. Kinderbücher fördern die Sprachentwicklung, unterstützen kritisches Denken, lehren wichtige Werte und Moral, begünstigen das Lernen der Grundlagen des Lesens und Schreibens und regen die Kreativität an. Pappbücher mit zusätzlichen interaktiven Funktionen trainieren die Hand- und Augenkoordination und damit die motorischen Fähigkeiten des Kindes. Ziel war es, ein Pappkinderbuch für junge Kinder zu gestalten, das Jung und Alt begeistert und Spaß bereitet.
OneHold ist ein kompaktes Produktsystem, welches durch die Nutzung von Modularität Multifunktionalität erreicht,
und so Mehrwert bietet, indem es die grundlegenden Aufgaben im Haushalt mit weniger benötigten Komponenten bewältigt.
So werden Teile, Raum, Kosten und Ressourcen gespart. OneHold kann in Form von mehreren Modulen flexibel gemietet
werden, um die Bedürfnisse temporär wohnender Menschen passgenau zu bedienen. Die Power-Einheit mit Elektromotor und Akku wird mit jeweils einem Modul für die zu bewältigende Haushaltsaufgabe verbunden. In dieser Bachelorarbeit wurden neben der Power-Einheit vier Module gestaltet: Staubsauger, Mixer, Pürierstab, und Akkuschrauber. Das Design von OneHold zelebriert die Achse mit rotierender Funktion als formgebenden Kern des Produkts. Die dynamisch gestreckte zylindrische Form verleiht jeder Modulkonfiguration des Produktsystems ein einheitliches Aussehen.
Magnetic nanoparticles (MNP) are investigated with great interest for biomedical applications in diagnostics (e.g. imaging: magnetic particle imaging (MPI)), therapeutics (e.g. hyperthermia: magnetic fluid hyperthermia (MFH)) and multi-purpose biosensing (e.g. magnetic immunoassays (MIA)). What all of these applications have in common is that they are based on the unique magnetic relaxation mechanisms of MNP in an alternating magnetic field (AMF). While MFH and MPI are currently the most prominent examples of biomedical applications, here we present results on the relatively new biosensing application of frequency mixing magnetic detection (FMMD) from a simulation perspective. In general, we ask how the key parameters of MNP (core size and magnetic anisotropy) affect the FMMD signal: by varying the core size, we investigate the effect of the magnetic volume per MNP; and by changing the effective magnetic anisotropy, we study the MNPs’ flexibility to leave its preferred magnetization direction. From this, we predict the most effective combination of MNP core size and magnetic anisotropy for maximum signal generation.
Humic substances possess distinctive chemical features enabling their use in many advanced applications, including biomedical fields. No chemicals in nature have the same combination of specific chemical and biological properties as humic substances. Traditional medicine and modern research have demonstrated that humic substances from different sources possess immunomodulatory and anti-inflammatory properties, which makes them suitable for the prevention and treatment of chronic dermatoses, allergic rhinitis, atopic dermatitis, and other conditions characterized by inflammatory and allergic responses [1-4]. The use of humic compounds as agentswith antifungal and antiviral properties shows great potential [5-7].
A novel method to determine the extruded length of a metallic wire for a directed energy deposition (DED) process using a microwave (MW) plasma jet with a straight-through wire feed is presented. The method is based on the relative comparison of the measured frequency response obtained by the large-signal scattering parameter (Hot-S) technique. In the practical working range, repeatability of less than 6% for a nonactive plasma and 9% for the active plasma state is found. Measurements are conducted with a focus on a simple solution to decrease the processing time and reduce the integration time of the process into the existing hardware. It is shown that monitoring a single frequency for magnitude and phase changes is sufficient to achieve good accuracy. A combination of different measurement values to determine the length is possible. The applicability to different diameter of the same material is shown as well as a contact detection of the wire and metallic substrate.
Critical quantitative evaluation of integrated health management methods for fuel cell applications
(2024)
Online fault diagnostics is a crucial consideration for fuel cell systems, particularly in mobile applications, to limit downtime and degradation, and to increase lifetime. Guided by a critical literature review, in this paper an overview of Health management systems classified in a scheme is presented, introducing commonly utilised methods to diagnose FCs in various applications. In this novel scheme, various Health management system methods are summarised and structured to provide an overview of existing systems including their associated tools. These systems are classified into four categories mainly focused on model-based and non-model-based systems. The individual methods are critically discussed when used individually or combined aimed at further understanding their functionality and suitability in different applications. Additionally, a tool is introduced to evaluate methods from each category based on the scheme presented. This tool applies the technique of matrix evaluation utilising several key parameters to identify the most appropriate methods for a given application. Based on this evaluation, the most suitable methods for each specific application are combined to build an integrated Health management system.