461 Works

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography

Matthias Schlüter, Lukas Glandorf, Martin Gromniak, Thore Saathoff & Alexander Schlaefer
Optical tracking systems are widely used, for example, to navigate medical interventions. Typically, they require the presence of known geometrical structures, the placement of artificial markers, or a prominent texture on the target’s surface. In this work, we propose a 6D tracking approach employing volumetric optical coherence tomography (OCT) images. OCT has a micrometer-scale resolution and employs near-infrared light to penetrate few millimeters into, for example, tissue. Thereby, it provides sub-surface information which we use...

Implementing computer-assisted exams in a course on numericalanalysis for engineering students

Karsten Kruse & Christian Seifert

Bioplastic production from microalgae : a review

Senem Önen, Zhi Chong, Mehmet Ali Kücüker, Nils Wieczorek, Ugur Cengiz & Kerstin Kuchta
Plastic waste production around the world is increasing, which leads to global plastic waste pollution. The need for an innovative solution to reduce this pollution is inevitable. Increased recycling of plastic waste alone is not a comprehensive solution. Furthermore, decreasing fossil-based plastic usage is an important aspect of sustainability. As an alternative to fossil-based plastics in the market, bio-based plastics are gaining in popularity. According to the studies conducted, products with similar performance characteristics can...

Investigating spatial resolution, field sequences and image reconstruction strategies using hybrid phantoms in MPI

Anselm von Gladiß, Matthias Gräser, Aileen Cordes, Anna C. Bakenecker, André Behrends, Xin Chen & Thorsten M. Buzug
Hybrid phantoms allow for measurement-based evaluation of particle samples, reconstruction algorithms and field sequences without need of a Magnetic Particle Imaging (MPI) scanning device. Even dynamic hybrid phantoms can be generated using dynamic magnetic offset fields. Multi-dimensional Magnetic Particle Spectrometers are capable of emulating both hybrid system matrices and hybrid phantoms, which can be reconstructed into images. It is shown that a spatial resolution of few hundred micrometres can be achieved for both one-and multi-dimensional...

Urban Rural SOLUTIONS - Innovationen im regionalen Daseinsvorsorgemanagement durch Unterstützung von interkommunalen Kooperationen Endbericht

Gesa Matthes, Tobias Preising, Saskia Reuschel, Sarah Schreiber, Sandra-Luisa Moschner, Sara Reimann, Anna Jung, Bernhard Koldert, Charlotte Pusch, Gesine Nitsios, Janina Welsch, Jan Garde, Nele Hellwig, Dirk Wittowsky, Marcus Peter, Ole Röntgen, Thomas Weiner, Frédéric Grüninger, Tobias Müller & Alexandra Terhorst

Evaluation der verkehrlichen Umbaumaßnahmen in der Liebigstraße | Industriegebiet Billbrook | Hamburg

Philine Gaffron & Christiane Waßmann-Krohn
Als Teil einer ganzheitlich orientierten Verkehrsplanung, im Kontext der Klimaschutzziele der Stadt Hamburg und auch im Rahmen des Hamburger Bündnis für den Radverkehr, ist es angezeigt, Mobilität auch in Industrie- und Gewerbegebieten zukunftsverträglicher zu gestalten ohne dabei den Wirtschaftsverkehr zu beeinträchtigen. Aspekte dieser Verträglichkeit sind die Minderung von CO2 (und anderen) Emissionen und das Fördern eines Umstiegs auf gesündere und leistbarere Verkehrsmittel im Umweltverbund (Fuß – Rad – Öffentlicher Verkehr). Maßnahmen wie das Projekt KLimafreundliche...

A combined compression and indentation study of mechanical metamaterials based on inverse opal coatings

Jefferson J. do Rosário, Quynh Yen Häntsch, Gerold A. Schneider & Erica Lilleodden
A relatively new class of tailored photonic metamaterials based on the inverse opal (IO) structure shows multifunctionality with exceptional mechanical response due to its periodic porous arch-like structure. Exploiting the smaller is stronger paradigm through varying its pore size and the addition of atomic layer deposition (ALD) films, allow tailorable strength and elastic modulus. Quantification of such properties are achieved through flat punch nanoindentation testing. Results are validated by comparison to microcompression tests, a widely...

MALITUP : machine learning in theory and practice

Marvin Kastner & Tina Scheidweiler
Increasing digitalization, rapid developments in machine learning and exponentially growing accumulation of data lead to new jobs in the areas of data science. In the field of (maritime) logistics, digitalization is becoming increasingly important, resulting in an ever-increasing demand for trained personnel in the field of machine learning.

Nanocomposites with p- and n-type conductivity controlled by type and content of nanotubes in thermosets for thermoelectric applications

Katharina Kröning, Beate Krause, Petra Pötschke & Bodo Fiedler
In this work, composites based on epoxy resin and various carbon nanotubes (CNTs) were studied regarding their thermoelectric properties. The epoxy composites were prepared by infiltration of preformed CNT buckypapers. The influence of different types of CNTs on the Seebeck coefficient was investigated, namely lab-made and commercially available multi walled carbon nanotubes (MWCNTs), lab-made nitrogen doped MWCNTs (N-MWCNT) and commercially available single walled carbon nanotubes (SWCNTs). It was found that only by varying the lab-made...

Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data

Nils Thorben Gessert, Maximilian Nielsen, Mohsin Shaikh, René Werner & Alexander Schlaefer

Fabrication of highly filled composites with an innovative miniaturized spouted bed

Hannah Sophia Rothberg, Swantje Pietsch, Gerold A. Schneider & Stefan Heinrich
In nature bio-composites such as nacre show remarkable mechanical properties due to their complex hierarchical structure and high-volume fraction of its hard component. These composites are highly interesting for structural applications in different branches of industries for mechanical engineering and process technology. The aim of this work was to provide a scalable method for the production of highly filled composites by mimicking the structure of bio-composites. Therefore, composites from iron oxide (Fe2O3) and SBC-polymer (styrene-butadiene...

A Collaborative approach for an integrated modeling of urban air transportation systems

Malte Niklaß, Niclas Dzikus, Majed Swaid, Jan Berling, Benjamin Lührs, Alexander Lau, Ivan Terekhov & Volker Gollnick
The current push in automation, communication, and electrical energy storage technologies has the potential to lift urban mobility into the sky. As several urban air mobility (UAM) concepts are conceivable, all relevant physical effects as well as mutual interrelations of the UAM system have to be addressed and evaluated at a sufficient level of fidelity before implementation. Therefore, a collaborative system of systems modeling approach for UAM is presented. To quickly identify physical effects and...

The misleading use of “enthalpy\" in an energy conversion analysis

Heinz Herwig

Unveiling the potential for an efficient use of nitrogen along the food supply and consumption chain

Sara Corrado, Carla Caldeira, Gema Carmona-Garcia, Ina Körner, Adrian Leip & Serenella Sala

\"mytrack\" Wege in ein erfolgreiches Studium : Struktur- und Entwicklungsprojekt an der Technischen Universität Hamburg (TUHH)

Henning Klaffke, Sönke Knutzen & Alexander Schmitt

Konzept und Versuchsergebnisse zur Elimination von Mikroschadstoffen aus kommunalem Abwasser durch Nanofiltration und Festbettreaktor (MicroStop)

Bastian Büning, Dorothea Rechtenbach, Joachim Behrendt & Ralf Otterpohl

Effiziente Kontaktberechnung in flexiblen Mehrkörpersystemen

Stephan Tschigg

A review of life cycle assessment studies of electric vehicles with a focus on resource use

Iulia Dolganova, Anne Rödl, Vanessa Bach, Martin Kaltschmitt & Matthias Finkbeiner
Changes in the mobility patterns have evoked concerns about the future availability of certain raw materials necessary to produce alternative drivetrains and related batteries. The goal of this article is to determine if resource use aspects are adequately reflected within life cycle assessment (LCA) case studies of electric vehicles (EV). Overall, 103 LCA studies on electric vehicles from 2009 to 2018 are evaluated regarding their objective, scope, considered impact categories, and assessment methods—with a focus...

Parallel-in-time integration of kinematic dynamos

Andrew T. Clarke, Christopher J. Davies, Daniel Ruprecht & Steven M. Tobias

Influence of oil, dispersant, and pressure on microbial communities from the Gulf of Mexico

Nuttapol Noirungsee, Steffen Hackbusch, Juan Viamonte Dominguez, Paul Bubenheim, Andreas Liese & Rudolf Müller

Platform of design method for developing mobility-preserving products

Kristin Paetzold, Sandro Wartzack & Dieter Krause

Assessing the influence of generational variety on product family structures

Jan Küchenhof, Caspar Tabel & Dieter Krause
Increasing market dynamics and shorter product development and product life cycles cause firms to develop new products more and more frequently. To satisfy a high future external market variety with low internal complexity, Design for Variety is carried out for initial structuring of the prospective product family. The influence of new to introduce product features on the product components is estimated in order to assess the future role of the components within the system under...

Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery

Stefan Gerlach, Christoph Fürweger, Theresa Hofmann & Alexander Schlaefer
Purpose: Robotic radiosurgery offers the flexibility of a robotic arm to enable high conformity to the target and a steep dose gradient. However, treatment planning becomes a computationally challenging task as the search space for potential beam directions for dose delivery is arbitrarily large. We propose an approach based on deep learning to improve the search for treatment beams. Methods: In clinical practice, a set of candidate beams generated by a randomized heuristic forms the...

Jahresbericht des Präsidiums 2019

Jahresbericht des Präsidiums der TU Hamburg 2019

Automated selection and assembly of sets of blades for jet engine compressors and turbines

Maik Dammann & Thorsten Schüppstuhl

Registration Year

  • 2020

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