[Forschungsseminar-BSV] Forschungsseminar Computergrafik
Vanessa Kretzschmar
kretzschmar at informatik.uni-leipzig.de
Di Apr 26 17:00:14 CEST 2022
Achtung:
- mehrere Vortraege (erhoehte Dauer moeglich)
E I N L A D U N G
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zum Forschungsseminar 'Computergrafik, Bildverarbeitung und Visualisierung'
am Mittwoch, den 4. Mai 2022, 13:15 Uhr,
im Raum P-701 im Paulinum am Augustusplatz.
Personen auf Dienstreise, in Quarantäne oder ähnliches können sich
digital über https://conf.fmi.uni-leipzig.de/b/van-bwb-jil-vk2
zuschalten.
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Wir hören einen Vortrag von
Erik Schulze
mit dem Titel:
'segemehlQC 2.0: A quality control tool for mapped NGS data'
zum Inhalt:
As modern sequencing methods and technologies are producing ever more
data, epigenetic workflows are increasing in size and complexity as
well.
For these workflows to be effective, proper quality control procedures
have to be implemented at every step along the way. There exist a large
number of quality control tools for this purpose. The segemehlQC tool
introduces a set of useful statistics and visualizations for the
examination
of the quality of DNA sequence alignment data. This Thesis aims to
improve
upon the groundwork laid by segemehlQC and provide a more accessible
user interface as well as a more robust and optimized calculation
process.
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Weiterhin, hören wir einen Vortrag von
Maximilian Söchting
mit dem Titel:
'Interactive Exploration and Visualization of Large-Scale,
Multi-Dimensional Earth Observation Data'
zum Inhalt:
Climate change and its effects on the global climate system, the
scarcity
of natural resources and subsequent political conflicts are one of the
greatest threats to the global political and economic system. In order
to better understand the effects of climate change and to counteract
them, it is essential that climate-relevant variables are recorded and
evaluated, e.g. by satellites. To allow for more precise
interpretations,
there is a trend in remote sensing, climate models and climate impact
modeling towards data sets with increasingly higher temporal and
spatial
resolution. However, as the data set sizes increase, it becomes much
harder to quickly and intuitively understand the data. Executing
queries
can take hours or even days and conventional visualization software
packages fail to process these data amounts. As part of this project, a
client-server software architecture for interactive exploration and
visualization of multivariate remote sensing data sets is proposed. It
allows to explore large data sets such as the Earth System Data Cube
(ca. 3 TB uncompressed) in any modern web browser. The data is
visualized
as a 3D “earth cube” with a temporal dimension in addition to the two
spatial dimensions. The client software imposes minimal hardware
requirements and therefore even allows interactive visualization on
mobile devices. To achieve this, the software employs a combination of
compression algorithms and computer graphics techniques such as tiling
and level-of-detail rendering.
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Alle Interessierten sind im Namen von Professor Dr. Scheuermann herzlich
eingeladen.
Mit freundlichen Grüßen
Vanessa Kretzschmar
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