Fachbereich Ingenieur- und Naturwissenschaften
Refine
Document Type
- Article (23)
- Conference Proceeding (14)
Year of publication
- 2022 (37) (remove)
Institute
Has Fulltext
- yes (37)
Is part of the Bibliography
- yes (37) (remove)
Keywords
- COVID-19 (2)
- machine learning (2)
- photonic integrated circuits (2)
- surface plasmon resonance (2)
- 10-second heart rate variability (1)
- 3D printing (1)
- ALD (1)
- Acheta domesticus (house cricket) (1)
- Akzeptanzmodell (1)
- Anlagenautomatisierung (1)
The most common cause of incidents and accidents in aviation is linked to the category “Loss of Control Inflight” [1]. Remarkably in consequence this means that aircraft without any technical defect or such with manageable defects according to certification requirements are involved. The research project “Virtual Instructor for General Aviation” (VIGA) was aimed to validate an idea that addresses this problem by an entirely different approach. The idea can be best described by looking at the way a flight instructor takes decisions to intervene. A human pilot has an expectation of the maneuvers and the corresponding trajectories that can be flown in the future based on the present flight conditions. Decision making is based on the analysis of the consequences of the expectations. This approach is one of the key principles of the project, and is completely different to any known AFCS system.
Yet technical implementation requires considerable effort. Essentially it comprises a faster than real time simulation with an adequately accurate aerodynamic model of the particular aircraft in combination with a module to evaluate the results of the simulated exit trajectories. In consequence this idea requires an autopilot module capable of tracking the calculated three-dimensional trajectories which then resulted in the need to design and develop a completely new type of autopilot algorithm.
The objective of this project was to test and demonstrate principle functionality thereby also finding pathways determining future developments as well as to analyze system behavior. Therefore, the project was deliberately designed to help the pilot by depicting the solutions on the PFD. Direct intervention of the system with aircraft flight controls did not take place. This also raised the question of how to design an effective visual human interface.
Fortunately, all results proved to be very satisfying. The underlying idea could be validated and was demonstrated both in a simulation environment and in flight test. The path tracking algorithm was developed in a parallel project and also showed very satisfactory results, meeting all requirements.
The article discusses the approach to solving the problem of reducing time spent on the preparation of medical images for teaching neural networks, by reducing the time of creating masks for images. The task is considered on the example of processing images of the mucous membrane of the paranasal sinus. The specifics of the task did not allow effectively using existing software solutions. During the study, a software solution was proposed, which made it possible to radically reduce the time of creating masks for images. The article also analyzes the shortcomings of the automated creation of masks, as well as the directions of their solution. The loss of time due to the adjustment of the color palette can be reduced even more to 1-2 minutes, the average deviation is 7.61%.
The new coronavirus COVID-19 has been spreading worldwide for almost three years. The global community has developed effective measures to contain and control the pandemic. However, new factors are emerging that are driving the dynamics of COVID-19. One of these factors was the escalation of Russia's war in Ukraine. This study aims to test the hypothesis of the influence of migration flows caused by the Russian war in Ukraine on the dynamics of the epidemic process in Germany. For this, a model of the COVID-19 epidemic process was built based on the polynomial regression method. The model's adequacy was tested 30 days before the start of the escalation of the Russian war in Ukraine. To assess the impact of the war on the dynamics of COVID-19, the model was used to calculate the forecast of cumulative new and fatal cases of COVID-19 in Germany in the first 30 days after the start of the escalation of the Russian war in Ukraine. Modeling showed that migration flows from Ukraine are not a critical factor in the growth of the dynamics of the incidence of COVID-19 in Germany, but they influenced the number of cases. The next stage of the study is the development of more complex models for a detailed analysis of population dynamics, identifying factors influencing the epidemic process in the context of the Russian war in Ukraine, and assessing their information content.
Model based Configuration of Platforms for Managing Cross- Organizational (Business) Processes
(2022)
In this contribution interoperability is considered from the perspective of platforms, which have to manage cross-organisational business processes. A model-based approach for configuring a cloud platform for managing complex processes and their dependencies across different organisations is provided. The approach is applied on using FIWARE, which provides a framework of open source software platform components. The core concept is to extend the open source core data model of FIWARE by using the artefacts of an Enterprise model, describing the dependencies of processes, roles, object data and application interfaces. Based on a given use case the principal configuration was applied and validated.
There are already several tools available to generate traffic demand for the microscopic simulation suite SUMO. This paper focuses on setting up a simulation scenario for the peak hour in a small conurbation when there are vehicle counts available for the major streets. We describe tools which are part of SUMO or available as open source and compare their results with the real traffic counts as well as with the outcome of countless demand generation.
New technologies leading to better and more efficient light emitting diodes. The emitted radiation reaches higher energy levels and lower wavelengths especially in the UV-C spectrum. UV-C light has a cancer inducing effect on human cells. Therefore it is necessary to work in a safe way with those devices.
This work is focused on an open-source solution for rapid 3D printing of an safe UV-C radiation measuring device. Especially for research groups or universities which can not afford big safety labs.
After modeling and printing the prototype, a series of tests has shown the functionality of that UV-C Diode test system. By using black printing filaments and infill rates over 50 %, the transmission of light could be prevented and the system worked well.
Das Ziel des Projekts ist, den Zustand der Haut von Neurodermitis-Patienten bei verschiedenen Bedingungen und Belastungszuständen erfassen zu können. Dazu wurde ein Prototyp gefertigt, in den ein Mikrosensor zur Bestimmung der Umgebungsfeuchtigkeit, ein Controller mit Bluetooth zur Datenübertragung, sowie ein Lithium-Akku zur Energieversorgung verbaut wurden.
Zur Herstellung von langfristig stabilen Metall-Kautschuk-Verbunden sind chemische Haftvermittler notwendig. Nach Auftrag dieser wird Kautschuk mittels Gummispritzgießen auf die metallischen Grundkörper aufgebracht. In Klein- und Kleinstserien kann der Haftvermittler in präzisen Volumina händisch mit Hilfe eines Fluid-Dispensers aufgetragen werden. Allerdings verhindert dies eine Homogenität und Gleichheit der Schichtdicke, wodurch die Zuverlässigkeit und Stärke der Haftung variieren können. Als technische Lösung wurde ein Pipettierroboter avisiert. Mit Hilfe mehrerer mechanischer und elektrischer Adaptionen – so auch einer neuen Steuerungstechnik – wurden verschiedene Fluid-Dispenser auf 3-Achs-Portalfräsen integriert. Somit konnte die volle Funktionsfähigkeit erreicht werden.
Die Verkehrswende bedingt einen Ausbau des Schienen-Personenverkehrs. Eine in situ Schadenserkennung während des Betriebs kann einen Beitrag zur Kapazitätserhöhung und Sicherheit im Schienenverkehr liefern. Im Vortrag werden Forschungen bezüglich einer schwingungsbasierten, zerstörungsfreien Methode zur Detektion von Radreifenschäden vorgestellt. Über eine Transferpfadanalyse (TPA) wird auf den Körperschall jedes Rades während der Überfahrt rückberechnet. Mit dem synthetisierten Körperschall wird mittels des akustischen Resonanztests die Schadensidentifikation durchgeführt.
According to the drinking water regulation, drinking water systems must be tested for harmful contamination at specified intervals. To meet the legal requirements and save costs and time, a portable analysis method is to be developed. For this purpose, a concept study was conducted. It describes a portable measuring device for the quantitative detection of legionella using real-time PCR. The study includes the construction elements and conditions that are necessary for the collection, processing, and evaluation of the sample. It was found that commercially available PCR systems do not meet the size requirements and can only be represented by an in-house development. In addition, a microfluidic system must be developed that is designed for one-time use and low production cost.