Ostwestfalen-Lippe University of Applied Sciences and Arts
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Terahertz Axicon Lenses
This work discusses the additive manufacturing of an axicon lens using cyclic olefin copolymer (TOPAS), and its characterization between 100 GHz and 300 GHz. The proposed manufacturing process followed by dip-coating post-processing provides an improved surface finish. Additionally, the terahertz output of the lens remains intact over the entire frequency range
CGI-Integration im Puppentrick ; Eine Workflow Entwicklung anhand eines CG Head-Replacements
Long-term drift behavior in metal oxide gas sensor arrays: a one-year dataset from an electronic nose
Although electronic nose technology has been studied for years, drift effects remain one of the major challenges. While ongoing research focuses on effective correction methods, the evaluation of these methods requires reliable and well-documented datasets. However, only a few drift datasets are available, some of which lack sufficient experimental detail or are outdated. This motivated us to introduce a new long-term drift dataset. It has been collected over 12 months using a commercial electronic nose, which is based on 62-metal oxide sensors. The measurements were conducted under controlled experimental conditions with three analytes (diacetyl, 2-phenylethanol, and ethanol) in different concentrations. The dataset consists of 700 time-series recordings, for which we provide both the raw data and a set of pre-extracted features. The data can support the development, evaluation, and comparison of methods for feature extraction and selection, as well as drift detection and compensation. By providing a comprehensive, well-documented dataset, we aim to advance research on sensor drift in electronic nose systems
Influence of different pasteurization conditions with equivalent pasteurization units on chemical, physical, and sensory properties of cloudy apple juice
Pasteurization is the prevalent method for stabilizing cloudy apple juice and prolonging its shelf life, but can also impair quality. Therefore, it is necessary to investigate and quantify the chemical, physical and sensory effects of this treatment. In this study, cloudy apple juice was treated at different time-temperature combinations with equivalent microbial lethality with 161.6 PU. These can be categorized as low temperature/long time (LTLT with 70°C and 80°C) or high temperature/short time (HTST with 90°C, 100°C and 105°C) treatments. The results were compared to those of untreated juice. HTST treatment had significantly less impact on the juice compared to LTLT treatment. LTLT-treated juices were characterized by different sensory attributes, such as raisin and caramel odor and bitter taste. In contrast, the untreated and HTST-treated juices exhibited odors like pear and lemon. There were also significant differences in turbidity, sugar composition, viscosity and a heightened 5-(hydroxymethyl)furfural (HMF) content with LTLT treatment. In summary, HTST-treated juices are more similar to the untreated juices and are rated higher in terms of quality characteristics. The lowest pasteurization temperature of 70°C results in the greatest deterioration of juice quality. It can be concluded that different pasteurization conditions showed different effects on juice quality, despite having the same microbiological lethality of 161.6 PU. Results can be considered when designing pasteurization processes
Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen
Die Leistungsfähigkeit von Large Language Models konnte in den letzten Jahren deutlich verbessert werden, so dass viele Unternehmen solche Modelle bereits einsetzen oder ihren Einsatz planen. Die Gestaltung eines betriebsspezifischen Informationssystems unter Einbeziehung eines Large Language Model (LLM) ist allerdings mit einer Vielzahl an Entscheidungen verbunden. Vor diesem Hintergrund wird in diesem Beitrag eine Methode beschrieben, die bei der Gestaltung und Einführung eines LLM-basierten Informationssystems unterstützen kann, um im Ergebnis eine möglichst anforderungsgerechte Lösung zu entwickeln. Diese Methode besteht dabei aus einem Vorgehensmodell und einer Liste mit Gestaltungsprinzipien, die auch als Erfolgsfaktoren bezeichnet werden
Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer
In weakly-structured work processes, workers are free to decide in which sequence to process their tasks. Predicting their decision-making helps plan production more accurately while preserving workers’ autonomy. The factors that influence workers’ decision-making depend on the manufacturing process and person considered, and they must be newly collected for each use case. This paper identifies the factors influencing workers when deciding in which sequence to process manufacturing tasks in a medium-sized hydraulic cylinder manufacturer. Five workers and two lead workers were observed and interviewed during several work shifts about influencing factors. The authors propose a new interview technique called indifference testing to overcome subjects’ difficulty articulating their decision-making process. Collected factors were categorized using inductive category formation and context analysis. The analyses identified 75 influencing factors comprising 37 decision attributes and 38 decision rules. The identified decision attributes indicate that worker preferences are influenced by attributes from the classical scheduling literature and attributes related to worker well-being, circadian rhythms, and ergonomics. The identified decision rules are useful constituents of more complex preference functions. The decision attributes and rules enable the construction of machine learning models to predict workers’ task sequencing decisions in job shops. Potential applications include systematically eliminating or controlling influencing factors through workplace design measures to increase worker well-being and optimality of their decisions
What Time Will It Be? A Comprehensive Literature Review on Daylight Saving Time
Daylight saving time (DST) affects millions of people in various everyday situations and is a common topic of debate in legislative parliaments around the world. This paper presents a literature review on the effects of the clock change and DST on electricity usage, health, crime rates, road safety, and economic aspects. This addresses a gap in current literature reviews, as there is a lack of linked analyses considering these research fields. We show that there are partial positive effects on crime rates and road safety generally that result from the delay in ambient light availability. This contrasts with the clearly negative effects on health and the economic aspects, which are mainly driven by the disturbed circadian rhythm and the resulting sleep problems. Furthermore, we find that the initial idea of DST to save electricity will probably no longer apply and may even lead to increased usage. This literature review provides a basis for future research and promotes interdisciplinary research by summarizing current findings in a cross-disciplinary manner and identifying research gaps and opportunities. Furthermore, the findings may guide policy-making discussions and decisions