13.07.2020

Feenkreise in der Namib

Räumliche Muster und Wachstumsdynamik von Feenkreisen in Namibia

In der heutigen Zeit des Klimawandels ist das Verständnis der biologischen Ursachen von Vegetationsmustern in wassergestressten Umgebungen von zunehmendem Interesse für die ökologische Wissenschaft. Die geheimnisvollen Feenkreise Namibias sind ein Paradebeispiel für die Untersuchung solcher selbstorganisierten Muster und dafür, wie die Vegetation auf Trockenheit und Niederschlagsimpulse entlang der Namib-Wüste reagiert.
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Kontakt: stephan.getzin@uni-goettingen.de

13.07.2020

Bachelor-, Masterthesis

Design of liquid-liquid chromatography processes for the separation of cannabinoids from hemp (Cannabis sativa) extracts

Liquid-liquid chromatography (LLC), commonly referred to as centrifugal partition chromatography (CPC) or countercurrent chromatography (CCC), is a versatile and highly adaptable preparative separation technique that combines the sample loading capacities of liquid-liquid extraction with the selectivity of solid-liquid chromatography. In LLC, the mobile and stationary phases are the two phases of a liquid-liquid biphasic system. Either phase (upper or lower phase) may be used as the stationary phase, and the roles of the phases may be switched in during operation. This characteristic has led to the development of several operating modes unique to LLC, such as the continuous sequential centrifugal partition chromatography (sCPC) or trapping multiple dual mode (MDM) processes.

This thesis will focus on the LLC purification of major cannabinoids (cannabidiol, CBD) and minor cannabinoids (cannabigerol, CBG; cannabinol, CBC; cannabinochromene, CBC) from hemp (Cannabis sativa) extracts. Various biphasic solvent systems, operating parameters (feed concentration, injection volume, flow-rate) and operating modes (batch, trapping MDM, sCPC) will be evaluated in order to maximize the cannabinoids’ productivity.

Kontakt: vlad.luca@tum.de

06.07.2020

Bild

Verbreitung der gefleckten Schnarrschrecke an der oberen Isar

Die gefleckte Schnarrstrecke, Bryodemella tuberculata kommt in Bayern nur noch an unverbauten Abschnitten der oberen Isar vor. Mit der Arbeit soll eine aktuelle Bestandsaufnahme erfolgen und die Bestandsveränderungen seit 2000 untersucht werden.
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Kontakt: Thomas Wagner, LS für Renaturierungsökologie, wagner@tum.de

06.07.2020

Digital processes in sport clubs

Changes in the booking and offering processes of sport clubs: The influence of digital processes on the performance and operations of sport clubs

Are you interested why sport organizations start to digitalize specific processes and how this influences the performance of sport clubs? The Chair of Sport and Health Management offers students who will be graduating from the TUM Department of Sport and Health Sciences or the TUM School of Management the possibility for interdisciplinary research (i.e., write a bachelor or master thesis).
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Kontakt: info.mgt@sg.tum.de

03.07.2020

Master Thesis: Real-time Camera-only Object Detection for Intelligent Transportation System

A key challenge lies in the reliable and accurate detection of road users (such as cars, trucks, buses) using the various sensors, among them standard frame-based cameras and event-based camera. Due to the complex multi-sensor system subject to real-life conditions and application-oriented challenges, many interesting research topics are available within this project.

Kontakt: simon.goekstorp@tum.de

03.07.2020

Master Thesis: Highly Scalable Software Architecture for Intelligent Transportation Systems

A complex software system (e.g. for Intelligent Transportation Systems) stands and falls with a good software architecture. That is the why, design and implementation of a highly scalable software architecture for safety-critical applications is a central task in the Providentia++ project. The tough requirements, the use cases of the application and other value-added services must also be taken into account. Due to the complexity and application-oriented challenges of this system, many interesting research topics are available within this project

For further information please click 'here'.

Kontakt: christian.cress@tum.de

03.07.2020

Master's Thesis in real-time and multi-modal 3D Object Detection on the Highway A9

A key challenge lies in the reliable and accurate detection of road users (e.g. vehicles, buses, trucks) based on various data generated from the different sensors (cameras, LiDARs and radars). Due to the complex multi-sensor system subject to real-life conditions and application-oriented challenges, many interesting research topics are available within this project.

Kontakt: walter.zimmer@tum.de

03.07.2020

Master Thesis: Automated Camera Stabilization and Calibration for Intelligent Transportation Systems

One of the key challenges in Intelligent Transportation Systems lies in the reliable and accurate calibration of the different sensors. The calibration is especially challenging when the sensor is subject to real-life disturbances like vibration of its mounting pole caused by wind or displacements due to temperature expansion. The aim of this Master’s thesis is to investigatethe feasibility to automatically stabilize and calibrate a shaking camera using an additional IMU sensor that delivers measurements on the disturbances.

For further information please click 'here'.

Kontakt: leah.strand@tum.de

03.07.2020

Master Theses: Adaptive Data Distribution Services, V2X Communication Protocols, Channel Quality Prediction and Optimal Resource Allocation

One of the key challenges in handling the digital twin information lies in the creation of suitable data distribution services and communication protocols which take into account the continuously changing network topology, highly varying demand for the digital twin from the consumer vehicles and the need for using minimal network bandwidth. Multiple theses topics are available to address the above challenges.

For further details please click 'here'.

Kontakt: venkat.lakshmi@tum.de

03.07.2020

Master Theses: Sensor Fusion and Vehicle Tracking for Intelligent Transportation Systems

One of the key challenges in Intelligent Transportation Systems lies in the reliable and accurate fusion of the various data generated from the different sensors (radars, cameras, event-based cameras, LiDARs, etc.) and the precise tracking of the individual vehicles. Due to the complex multi-sensor system subject to real-life conditions and application-oriented challenges, many interesting research topics are available within this project.

For further information please click 'here'.

Kontakt: leah.strand@tum.de