TY  - JOUR
A1  - Noureddine, Yacine
A1  - Kraff, Oliver
A1  - Ladd, Mark E.
A1  - Wrede, Karsten
A1  - Chen, Bixia
A1  - Quick, Harald H.
A1  - Schaefers, Georg
A1  - Bitz, Andreas
T1  - Radiofrequency induced heating around aneurysm clips using a generic birdcage head coil at 7 Tesla under consideration of the minimum distance to decouple multiple aneurysm clips
JF  - Magnetic Resonance in Medicine
Y1  - 2019
U6  - http://dx.doi.org/10.1002/mrm.27835
SN  - 1522-2594
IS  - Early view
SP  - 1
EP  - 17
PB  - Wiley
CY  - Weinheim
ER  - 
TY  - JOUR
A1  - Valero, Daniel
A1  - Chanson, Hubert
A1  - Bung, Daniel B.
T1  - Robust estimators for turbulence properties assessment
Y1  - 2019
SP  - 1
EP  - 24
ER  - 
TY  - JOUR
A1  - Gerhards, Michael
A1  - Sander, Volker
A1  - Zivkovic, Miroslav
A1  - Belloum, Adam
A1  - Bubak, Marian
T1  - New approach to allocation planning of many‐task workflows on clouds
JF  - Concurrency and Computation: Practice and Experience
N2  - Experience has shown that a priori created static resource allocation plans are vulnerable to runtime deviations and hence often become uneconomic or highly exceed a predefined soft deadline. The assumption of constant task execution times during allocation planning is even more unlikely in a cloud environment where virtualized resources vary in performance. Revising the initially created resource allocation plan at runtime allows the scheduler to react on deviations between planning and execution. Such an adaptive rescheduling of a many-task application workflow is only feasible, when the planning time can be handled efficiently at runtime. In this paper, we present the static low-complexity resource allocation planning algorithm (LCP) applicable to efficiently schedule many-task scientific application workflows on cloud resources of different capabilities. The benefits of the presented algorithm are benchmarked against alternative approaches. The benchmark results show that LCP is not only able to compete against higher complexity algorithms in terms of planned costs and planned makespan but also outperforms them significantly by magnitudes of 2 to 160 in terms of required planning time. Hence, LCP is superior in terms of practical usability where low planning time is essential such as in our targeted online rescheduling scenario.
Y1  - 2020
U6  - http://dx.doi.org/10.1002/cpe.5404
SN  - 1532-0634
VL  - 32
IS  - 2 Article e5404
SP  - 1
EP  - 16
PB  - Wiley
CY  - Chichester
ER  - 
TY  - JOUR
A1  - Kodomskoi, Leonid
A1  - Kotliar, Konstantin
A1  - Schröder, Andreas
A1  - Weiss, Michael
A1  - Hille, Konrad
T1  - Suture-Probe Canaloplasty as an Alternative to Canaloplasty using the iTrack™ Microcatheter
JF  - Journal of Glaucoma
Y1  - 2019
U6  - http://dx.doi.org/10.1097/IJG.0000000000001321
SN  - 1057-0829
IS  - Epub ahead of print
PB  - Lippincott Williams & Wilkins
CY  - Philadelphia
ER  - 
TY  - JOUR
A1  - Schopp, Christoph
A1  - Britun, Nikolay
A1  - Vorac, Jan
A1  - Synek, Petr
A1  - Snyders, Rony
A1  - Heuermann, Holger
T1  - Thermal and Optical Study on the Frequency Dependence of an Atmospheric Microwave Argon Plasma Jet
JF  - IEEE Transactions on Plasma Science
Y1  - 2019
SN  - 1939-9375
VL  - 47
IS  - 7
SP  - 3176
EP  - 3181
PB  - IEEE
CY  - New York
ER  - 
TY  - CHAP
A1  - Siebigteroth, Ines
A1  - Kraft, Bodo
A1  - Schmidts, Oliver
A1  - Zündorf, Albert
T1  - A Study on Improving Corpus Creation by Pair Annotation
T2  - Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK-PS 2019)
Y1  - 2019
SN  - 1613-0073
SP  - 40
EP  - 44
ER  - 
TY  - CHAP
A1  - Gorzalka, Philip
A1  - Dahlke, Dennis
A1  - Göttsche, Joachim
A1  - Israel, Martin
A1  - Patel, Dhruvkumar
A1  - Prahl, Christoph
A1  - Schmiedt, Jacob Estevam
A1  - Frommholz, Dirk
A1  - Hoffschmidt, Bernhard
A1  - Linkiewicz, Magdalena
T1  - Building Tomograph–From Remote Sensing Data of Existing Buildings to Building Energy Simulation Input
T2  - EBC, Annex 71, Fifth expert meeting, October 17-19, 2018, Innsbruck, Austria
Y1  - 2018
ER  - 
TY  - CHAP
A1  - Blum, Yannik
A1  - Albanna, Walid
A1  - Benninghaus, Anne
A1  - Kotliar, Konstantin
ED  - Staat, Manfred
ED  - Erni, Daniel
T1  - Vasomotion in retinal vessels of patients presenting post hemorrhagic hydrocephalus following subarachnoid hemorrhage
T2  - 3rd YRA MedTech Symposium 2019 : May 24 / 2019 / FH Aachen
N2  - Clearance of blood components and fluid drainage play a crucial role in subarachnoid hemorrhage (SAH) and post hemorrhagic hydrocephalus (PHH). With the involvement of interstitial fluid (ISF) and cerebrospinal fluid (CSF), two pathways for the clearance of fluid and solutes in the brain are proposed. Starting at the level of capillaries, flow of ISF follows along the basement membranes in the walls of cerebral arteries out of the parenchyma to drain into the lymphatics and CSF [1]–[3]. Conversely, it is shown that CSF enters the parenchyma between glial and pial basement membranes of penetrating arteries [4]–[6]. Nevertheless, the involved structures and the contribution of either flow pathway to fluid balance between the subarachnoid space and interstitial space remains controversial. Low frequency oscillations in vascular tone are referred to as vasomotion and corresponding vasomotion waves are modeled as the driving force for flow of ISF out of the parenchyma [7]. Retinal vessel analysis (RVA) allows non-invasive measurement of retinal vessel vasomotion with respect to diameter changes [8]. Thus, the aim of the study is to investigate vasomotion in RVA signals of SAH and PHH patients.
Y1  - 2019
SN  - 978-3-940402-22-6
U6  - http://dx.doi.org/10.17185/duepublico/48750
SP  - 38
EP  - 39
PB  - Universität Duisburg-Essen
CY  - Duisburg
ER  - 
TY  - CHAP
A1  - Zingsheim, Jonas
A1  - Grimmer, Timo
A1  - Ortner, Marion
A1  - Schmaderer, Christoph
A1  - Hauser, Christine
A1  - Kotliar, Konstantin
ED  - Staat, Manfred
ED  - Erni, Daniel
T1  - Recognition of subjects with mild cognitive impairment (MCI) by the use of retinal arterial vessels.
T2  - 3rd YRA MedTech Symposium 2019 : May 24 / 2019 / FH Aachen
Y1  - 2019
SN  - 978-3-940402-22-6
U6  - http://dx.doi.org/10.17185/duepublico/48750
SP  - 36
EP  - 37
PB  - Universität Duisburg-Essen
CY  - Duisburg
ER  - 
TY  - CHAP
A1  - Azar, Fouad
A1  - Digel, Ilya
ED  - Staat, Manfred
ED  - Erni, Daniel
T1  - Utilization of fluorescence spectroscopy and neural networks in clinical analysis
T2  - 3rd YRA MedTech Symposium 2019 : May 24 / 2019 / FH Aachen
N2  - Fluorescence topography of human urine in combination with learning algorithms can provide a variant pattern recognition method in analytical clinical chemistry and, eventually, diagnosis.
Y1  - 2019
SN  - 978-3-940402-22-6
U6  - http://dx.doi.org/10.17185/duepublico/48750
SP  - 40
EP  - 41
PB  - Universität Duisburg-Essen
CY  - Duisburg
ER  -