Refine
Year of publication
- 2022 (301) (remove)
Institute
- Fachbereich Gestaltung (106)
- Fachbereich Medizintechnik und Technomathematik (51)
- Fachbereich Energietechnik (37)
- IfB - Institut für Bioengineering (27)
- ECSM European Center for Sustainable Mobility (23)
- Fachbereich Chemie und Biotechnologie (20)
- Fachbereich Elektrotechnik und Informationstechnik (19)
- Fachbereich Wirtschaftswissenschaften (16)
- Fachbereich Luft- und Raumfahrttechnik (15)
- INB - Institut für Nano- und Biotechnologien (15)
Language
- German (157)
- English (143)
- Multiple languages (1)
Document Type
- Bachelor Thesis (94)
- Article (91)
- Conference Proceeding (48)
- Part of a Book (30)
- Book (11)
- Master's Thesis (11)
- Conference: Meeting Abstract (5)
- Report (3)
- Conference Poster (2)
- Other (2)
Keywords
- Illustration (8)
- Fotografie (6)
- Gesundheit (6)
- App (5)
- Erscheinungsbild (5)
- Kampagne (4)
- Kurzfilm (4)
- Animation (3)
- Concentrated solar power (3)
- Corporate Design (3)
Zugriffsart
- weltweit (97)
- campus (81)
- bezahl (19)
- fachbereichsweit (FB4) (12)
Purpose
In the determination of the measurement uncertainty, the GUM procedure requires the building of a measurement model that establishes a functional relationship between the measurand and all influencing quantities. Since the effort of modelling as well as quantifying the measurement uncertainties depend on the number of influencing quantities considered, the aim of this study is to determine relevant influencing quantities and to remove irrelevant ones from the dataset.
Design/methodology/approach
In this work, it was investigated whether the effort of modelling for the determination of measurement uncertainty can be reduced by the use of feature selection (FS) methods. For this purpose, 9 different FS methods were tested on 16 artificial test datasets, whose properties (number of data points, number of features, complexity, features with low influence and redundant features) were varied via a design of experiments.
Findings
Based on a success metric, the stability, universality and complexity of the method, two FS methods could be identified that reliably identify relevant and irrelevant influencing quantities for a measurement model.
Originality/value
For the first time, FS methods were applied to datasets with properties of classical measurement processes. The simulation-based results serve as a basis for further research in the field of FS for measurement models. The identified algorithms will be applied to real measurement processes in the future.
On the basis of independent and identically distributed bivariate random vectors, where the components are categorial and continuous variables, respectively, the related concomitants, also called induced order statistic, are considered. The main theoretical result is a functional central limit theorem for the empirical process of the concomitants in a triangular array setting. A natural application is hypothesis testing. An independence test and a two-sample test are investigated in detail. The fairly general setting enables limit results under local alternatives and bootstrap samples. For the comparison with existing tests from the literature simulation studies are conducted. The empirical results obtained confirm the theoretical findings.
In general aviation, too, it is desirable to be able to operate existing internal combustion engines with fuels that produce less CO₂ than Avgas 100LL being widely used today It can be assumed that, in comparison, the fuels CNG, LPG or LNG, which are gaseous under normal conditions, produce significantly lower emissions. Necessary propulsion system adaptations were investigated as part of a research project at Aachen University of Applied Sciences.
This paper considers a paired data framework and discusses the question of marginal homogeneity of bivariate high-dimensional or functional data. The related testing problem can be endowed into a more general setting for paired random variables taking values in a general Hilbert space. To address this problem, a Cramér–von-Mises type test statistic is applied and a bootstrap procedure is suggested to obtain critical values and finally a consistent test. The desired properties of a bootstrap test can be derived that are asymptotic exactness under the null hypothesis and consistency under alternatives. Simulations show the quality of the test in the finite sample case. A possible application is the comparison of two possibly dependent stock market returns based on functional data. The approach is demonstrated based on historical data for different stock market indices.
Bacterial cellulose (BC) is a biopolymer produced by different microorganisms, but in biotechnological practice, Komagataeibacter xylinus is used. The micro- and nanofibrillar structure of BC, which forms many different-sized pores, creates prerequisites for the introduction of other polymers into it, including those synthesized by other microorganisms. The study aims to develop a cocultivation system of BC and prebiotic producers to obtain BC-based composite material with prebiotic activity. In this study, pullulan (PUL) was found to stimulate the growth of the probiotic strain Lactobacillus rhamnosus GG better than the other microbial polysaccharides gellan and xanthan. BC/PUL biocomposite with prebiotic properties was obtained by cocultivation of Komagataeibacter xylinus and Aureobasidium pullulans, BC and PUL producers respectively, on molasses medium. The inclusion of PUL in BC is proved gravimetrically by scanning electron microscopy and by Fourier transformed infrared spectroscopy. Cocultivation demonstrated a composite effect on the aggregation and binding of BC fibers, which led to a significant improvement in mechanical properties. The developed approach for “grafting” of prebiotic activity on BC allows preparation of environmentally friendly composites of better quality.
Kleidung umgibt den menschlichen Körper seit etwa 75.000 Jahren. Seitdem dient sie dabei längst mehr nur als Schutz, sondern ist zu einem wichtigen Kommunikationsmittel geworden. Vor allem Identität spielte schon immer eine wichtige Rolle in ihrer Funktion. Im 15. Jahrhundert entstand die erste Uniform, die durch identische Kleidung Zusammengehörigkeit vermitteln sollte. Dieses Konzept findet heute in der Corporate Fashion, Berufskleidung und zivilen Kontexten Verwendung und vermittelt nebenher Visionen und Philosophien der Corporate Identities. In dieser Arbeit wurde eine tiefgehende Recherche über die Geschichte, Funktion und Wirkung von Uniformen betrieben und Kategorien untersucht, in die sich diese einteilen lassen. Anschließend wurden die Ergebnisse in einem ausgewählten Layout als Buch zusammengefasst und mit Portraits uniformtragender Menschen unterstützt. Abschließend folgt ein Leitfaden, der eine gezielte Gestaltung von Uniformen ermöglicht.
Digital start-ups are perceived as an engine for innovation and job promotor. While success factors for non-IT start-ups have already been extensively researched, this study sheds light on digital entrepreneurs, whose business model relies primarily on services based on digital technologies. Applying the Grounded Theory method, we identify relevant environmental success factors for digital entrepreneurs. The study’s research contribution is threefold. First, we provide 16 relevant and less relevant environmental success factors, which enables a comparison with prior identified factors. We found out that several prior environmental success factors, such as accessibility to transportation or the availability of land and facilities are less relevant for a digital entrepreneur. Second, we derive and discuss hypotheses for the influence of these factors on digital start-up success. Third, we present a theoretical model that lays the foundation for explaining the environmental influence on digital
entrepreneurship success.
„Work Habitat“ ist eine markenorientierte Officelösung, die auf skalierbare Weise mit einem Start-up mitwächst und in Kooperation mit dem Unternehmen academa GmbH entstanden ist. Diese Brand Experience fördert Teambuilding und Identifikation mit dem Unternehmen. Sie passt sich an die Teammitglieder an, indem sie einen ganzheitlichen Blick auf das Office-System bewahrt. Ferner stellt sie eine nahtlose Verbindung digitaler und analoger Arbeitswelten dar und bietet eine einladende Umgebung verschiedener Arten zu Arbeiten an: von Deep-Focus bis zur kooperativen Zusammenarbeit und der Anregung zwangloser Begegnungen. Die modularen Komponenten können trotz Veränderungen, Umzügen oder unerwartet rasanten Entwicklungen nachhaltig und flexibel eingesetzt werden. Eine schnelllebige Welt erfordert eine angebrachte, sich ihr anpassende New-Work-Umgebung.