Refine
Year of publication
- 2018 (259) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (68)
- Fachbereich Elektrotechnik und Informationstechnik (44)
- IfB - Institut für Bioengineering (41)
- INB - Institut für Nano- und Biotechnologien (25)
- Fachbereich Luft- und Raumfahrttechnik (24)
- Fachbereich Maschinenbau und Mechatronik (24)
- Fachbereich Chemie und Biotechnologie (22)
- Fachbereich Energietechnik (22)
- Fachbereich Wirtschaftswissenschaften (20)
- Fachbereich Bauingenieurwesen (16)
Document Type
- Article (125)
- Conference Proceeding (77)
- Part of a Book (31)
- Book (12)
- Working Paper (3)
- Conference: Meeting Abstract (2)
- Doctoral Thesis (2)
- Patent (2)
- Part of a Periodical (2)
- Conference Poster (1)
Keywords
- Datenschutz (2)
- Digitale Transformation (2)
- Energy efficiency (2)
- Engineering optimization (2)
- Literaturanalyse (2)
- MINLP (2)
- Pump System (2)
- Serious Game (2)
- Water (2)
- Agility (1)
Durch die Bauforschung im Rahmen des mehrjährigen Projektes "Die Hochkorridore von Sabbioneta" konnten der Verlauf und viele Anschlüsse der hochliegenden Gänge an bestehende Bauten weitgehend geklärt werden. Im Bereich der Chiesa della SS. Maria Incoronata und des angrenzenden Servitenklosters führten die Bauuntersuchungen zu völlig neuen Erkenntnissen über den ehemaligen Verlauf des Hochkorridors und damit zu einer Neuinterpretation des baulichen Ensembles sowie seiner Bedeutung für die Idealstadt. Aus dieser historischen Umdeutung entstanden Ideen für die Umnutzung des ehemaligen Servitenklosters und seiner angrenzenden Freiflächen, die im Rahmen von studentischen Entwürfen am Lehrstuhl für Baugeschichte und Denkmalpflege in Kooperation mit dem Lehrstuhl für Landschaftsarchitektur der RWTH Aachen weiterentwickelt wurden. Somit stellten sich Befunde einer historisch orientierten Bauforschung mit übergeordneter Fragestellung als neue Impulsgeber für Stadtplanung, Architektur und Denkmalpflege heraus.
The paper deals with the asymptotic behaviour of estimators, statistical tests and confidence intervals for L²-distances to uniformity based on the empirical distribution function, the integrated empirical distribution function and the integrated empirical survival function. Approximations of power functions, confidence intervals for the L²-distances and statistical neighbourhood-of-uniformity validation tests are obtained as main applications. The finite sample behaviour of the procedures is illustrated by a simulation study.
Field-effect-based electrolyte-insulator-semiconductor (EIS) sensors were modified with a bilayer of positively charged weak polyelectrolyte (poly(allylamine hydrochloride) (PAH)) and probe single-stranded DNA (ssDNA) and are used for the detection of complementary single-stranded target DNA (cDNA) in different test solutions. The sensing mechanism is based on the detection of the intrinsic molecular charge of target cDNA molecules after the hybridization event between cDNA and immobilized probe ssDNA. The test solutions contain synthetic cDNA oligonucleotides (with a sequence of tuberculosis mycobacteria genome) or PCR-amplified DNA (which origins from a template DNA strand that has been extracted from Mycobacterium avium paratuberculosis-spiked human sputum samples), respectively. Sensor responses up to 41 mV have been measured for the test solutions with DNA, while only small signals of ∼5 mV were detected for solutions without DNA. The lower detection limit of the EIS sensors was ∼0.3 nM, and the sensitivity was ∼7.2 mV/decade. Fluorescence experiments using SybrGreen I fluorescence dye support the electrochemical results.
A nonparametric goodness-of-fit test for random variables with values in a separable Hilbert space is investigated. To verify the null hypothesis that the data come from a specific distribution, an integral type test based on a Cramér-von-Mises statistic is suggested. The convergence in distribution of the test statistic under the null hypothesis is proved and the test's consistency is concluded. Moreover, properties under local alternatives are discussed. Applications are given for data of huge but finite dimension and for functional data in infinite dimensional spaces. A general approach enables the treatment of incomplete data. In simulation studies the test competes with alternative proposals.
In most beers, producers strive to minimize haze to maximize visual appeal. To detect the formation of particulates, a measurement system for sub-micron particles is required. Beer haze is naturally occurring, composed of protein or polyphenol particles; in their early stage of growth their size is smaller than 2 µm. Microscopy analysis is time and resource intensive; alternatively, backscattering is an inexpensive option for detecting particle sizes of interest.
In this work, a cell-based biosensor to evaluate the sterilization efficacy of hydrogen peroxide vapor sterilization processes is characterized. The transducer of the biosensor is based on interdigitated gold electrodes fabricated on an inert glass substrate. Impedance spectroscopy is applied to evaluate the sensor behavior and the alteration of test microorganisms due to the sterilization process. These alterations are related to changes in relative permittivity and electrical conductivity of the bacterial spores. Sensor measurements are conducted with and without bacterial spores (Bacillus atrophaeus), as well as after an industrial sterilization protocol. Equivalent two-dimensional numerical models based on finite element method of the periodic finger structures of the interdigitated gold electrodes are designed and validated using COMSOL® Multiphysics software by the application of known dielectric properties. The validated models are used to compute the electrical properties at different sensor states (blank, loaded with spores, and after sterilization). As a final result, we will derive and tabulate the frequency-dependent electrical parameters of the spore layer using a novel model that combines experimental data with numerical optimization techniques.
Sterben und Tod aus wissenschaftlicher Sicht - dying and death from a scientific point of view
(2018)
The efficiency concepts of Bahadur and Pitman are used to compare the Wilcoxon tests in paired and independent survey samples. A comparison through the length of corresponding confidence intervals is also done. Simple conditions characterizing the dominance of a procedure are derived. Statistical tests for checking these conditions are suggested and discussed.
New information regarding the influence of a stepped chute on the hydraulic performance of the United States Bureau of Reclamation (Reclamation) Type III hydraulic jump stilling basin is presented for design (steady) and adverse (decreasing tailwater) conditions. Using published experimental data and computational fluid dynamics (CFD) models, this paper presents a detailed comparison between smooth-chute and stepped-chute configurations for chute slopes of 0.8H:1V and 4H:1V and Froude numbers (F) ranging from 3.1 to 9.5 for a Type III basin designed for F = 8. For both stepped and smooth chutes, the relative role of each basin element was quantified, up to the most hydraulic extreme case of jump sweep-out. It was found that, relative to a smooth chute, the turbulence generated by a stepped chute causes a higher maximum velocity decay within the stilling basin, which represents an enhancement of the Type III basin’s performance but also a change in the relative role of the basin elements. Results provide insight into the ability of the CFD models [unsteady Reynolds-averaged Navier-Stokes (RANS) equations with renormalization group (RNG) k-ϵ turbulence model and volume-of-fluid (VOF) for free surface tracking] to predict the transient basin flow structure and velocity profiles. Type III basins can perform adequately with a stepped chute despite the effects steps have on the relative role of each basin element. It is concluded that the classic Type III basin design, based upon methodology by reclamation specific to smooth chutes, can be hydraulically improved for the case of stepped chutes for design and adverse flow conditions using the information presented herein.
In the present work an optical sensor in combination with a spectrally resolved detection device for in-line particle-size-monitoring for quality control in beer production is presented. The principle relies on the size and wavelength dependent backscatter of growing particles in fluids. Measured interference structures of backscattered light are compared with calculated theoretical values, based on Mie-Theory, and fitted with a linear least square method to obtain particle size distributions. For this purpose, a broadband light source in combination with a process-CCD-spectrometer (charge ? coupled device spectrometer) and process adapted fiber optics are used. The goal is the development of an easy and flexible measurement device for in-line-monitoring of particle size. The presented device can be directly installed in product fill tubes or vessels, follows CIP- (cleaning in place) and removes the need of sample taking. A proof of concept and preliminary results, measuring protein precipitation, are presented.
Textsammlung mit allen für den Datenschutz in Kirchen maßgeblichen Regelwerken: DSGVO, KDG, KDR-OG und DSG-EKD sowie begleitende Verordnungen KDO-DVO und ITSVO-EKD. Die vorliegende Textsammlung enthält neben dem zentralen Regelwerk, der Datenschutz-Grundverordnung (DSGVO) in ihrer letzten korrigierten Fassung vom 19. April 2018, die Normen des kirchlichen Rechts, die aufgrund der DSGVO neu erlassen wurden. Auf Seiten der katholischen Kirche sind dies das Gesetz über den Kirchlichen Datenschutz (KDG) und die Kirchliche Datenschutzregelung der Ordensgemeinschaft päpstlichen Rechts (KDR-OG); zudem findet die Verordnung zur Durchführung der Anordnung über den kirchlichen Datenschutz (KDO-DVO) weiterhin entsprechende Anwendung. Die evangelische Kirche novellierte das Kirchengesetz über den Datenschutz der Evangelischen Kirche in Deutschland (DSG-EKD) und hielt an der Verordnung zur Sicherheit der Informationstechnik (ITSVO-EKD) fest. Ergänzt wird das Werk durch Verweise auf maßgebliche Veröffentlichungen der Artikel-29-Datenschutzgruppe und der weltlichen und kirchlichen Datenschutzaufsichtsbehörden. Damit richtet sich das vorliegende Werk vor allem an kirchliche Gemeinden sowie Unternehmen in kirchlicher Trägerschaft und ihre Datenschutzbeauftragten wie gleichermaßen an private Unternehmen, Kanzleien und Berater mit kirchlicher Kundschaft bzw. Mandantschaft.
Vectrino profiler spatial filtering for shear flows based on the mean velocity gradient equation
(2018)
A new methodology is proposed to spatially filter acoustic Doppler velocimetry data from a Vectrino profiler based on the differential mean velocity equation. Lower and upper bounds are formulated in terms of physically based flow constraints. Practical implementation is discussed, and its application is tested against data gathered from an open-channel flow over a stepped macroroughness surface. The method has proven to detect outliers occurring all over the distance range sampled by the Vectrino profiler and has shown to remain applicable out of the region of validity of the velocity gradient equation. Finally, a statistical analysis suggests that physically obtained bounds are asymptotically representative.
In this work, we report on our attempt to design and implement an early introduction to basic robotics principles for children at kindergarten age. One of the main challenges of this effort is to explain complex robotics contents in a way that pre-school children could follow the basic principles and ideas using examples from their world of experience. What sets apart our effort from other work is that part of the lecturing is actually done by a robot itself and that a quiz at the end of the lesson is done using robots as well. The humanoid robot Pepper from Softbank, which is a great platform for human–robot interaction experiments, was used to present a lecture on robotics by reading out the contents to the children making use of its speech synthesis capability. A quiz in a Runaround-game-show style after the lecture activated the children to recap the contents they acquired about how mobile robots work in principle. In this quiz, two LEGO Mindstorm EV3 robots were used to implement a strongly interactive scenario. Besides the thrill of being exposed to a mobile robot that would also react to the children, they were very excited and at the same time very concentrated. We got very positive feedback from the children as well as from their educators. To the best of our knowledge, this is one of only few attempts to use a robot like Pepper not as a tele-teaching tool, but as the teacher itself in order to engage pre-school children with complex robotics contents.
Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven f ield. We introduce a deep neural network model that is able to predict different states of consciousness (Wake, Non-REM, REM) in mice from EEG and EMG recordings with excellent scoring results for out-of-sample data. Predictions are made on epochs of 4 seconds length, and epochs are classified as artifactfree or not. The model architecture draws on recent advances in deep learning and in convolutional neural networks research. In contrast to previous approaches towards automated sleep scoring, our model does not rely on manually defined features of the data but learns predictive features automatically. We expect deep learning models like ours to become widely applied in different fields, automating many repetitive cognitive tasks that were previously difficult to tackle.