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ARRAY2019_Magazine
(International Computer Music Association ICMA, 2019)
For the 2019 issue of Array, we focus on the idea of“Agency”in electronic and computer music, explored through the artistic and theoretical reflections of composers, performers, engineers, and musicologists.
How do ...
Benchmark dataset using historical images for an automated evaluation of feature matching methods
(Technische Universität Dresden, 2019)
Image dataset to the submitted ISPRS GSW2019 publication "Generation of a benchmark dataset using historical photographs for an automated evaluation of different feature matching methods". This dataset contains eight triples ...
Benchmark analysis of synthetical images - (updated) source code and example DEM data
(Technische Universität Dresden, 2019)
These files serve as the basis for a benchmark study on the image analysis to extract contact fabric from x-ray tomographies of granular materials. They are based on the python package "spam": The Software for the Practical ...
Plasma steroid profiles in subclinical compared to overt adrenal Cushing’s syndrome
(Technische Universität Dresden, 2019)
This supplemental file is derived from responses to the reviewers of the manuscript to provide background to the associated concepts and mathematical and statistical methods.
Anforderungen an die Orchestrierung modularer Prozessanlagen
(Technische Universität Dresden, 2019)
Die Orchestrierung modularer Prozessanlagen beschreibt das Verschalten von modularen Prozesseinheiten (PEA) zu einer modularen Anlage, sowohl aus verfahrenstechnischer, als auch aus automatisierungstechnischer Sicht. In ...
Critical path analysis tool for heterogeneous applications (CASITA)
(Technische Universität Dresden, 2019)
CASITA is a tool for automatic analysis of OTF2 trace files that have been generated with Score-P. It determines program activities with high impact on the total program runtime and the load balancing. CASITA generates an ...
Accompanying materials for the publication: "Identifying and quantifying geogenic organic carbon in soils - the case of graphite" - Data underlying figures and tables
(Technische Universität Dresden, 2019)
Final results derived from the described methods and used to create the figures in: https://doi.org/10.5194/soil-5-1-2019
FTIR spectra
(Technische Universität Dresden, 2019)
FTIR curves of the calibration sets, graphitic schist and artificial soil samples. This data was used as described in section 2.2.1.
Accompanying materials for the publication: "Identifying and quantifying geogenic organic carbon in soils – the case of graphite" - TGA thermograms
(Technische Universität Dresden, 2019)
Dataset (video sequences and orientation information) to measure river surface flow velocities
(Technische Universität Dresden, 2019)