@misc{12760,
abstract = {{Various degradation mechanisms can diminish the performance of electrical connectors in automobiles over time. It is crucial to gain an in-depth understanding of the failure mechanisms and their interactions, as well as to systematically analyze the failure mechanisms of connectors, assess their state of health, and predict the probability of failure in the future. This work provides a comprehensive overview of degradation mechanisms in electrical connectors, including fretting corrosion, oxidation, delamination, wear through of the protective coating, stress relaxation and plastic deformation. It focuses on mechanisms that contribute to increased contact resistance over time and proposes a unified model to explain their interactions. The study introduces a structured methodology for assessing connector health by outlining key measurement techniques and presenting an efficient approach to failure and state analysis that minimizes both testing time and sample size. This methodology is supported by analyses of connectors from long-term life tests and field-used, field-tested vehicles. Additionally, the study explores new aspects of the state analysis for accelerated testing of connectors, supported by examples from field-tested vehicles and various test methods, to predict connectors lifetime and evaluate the effectiveness of existing testing approaches.}},
author = {{Song, Jian and Hilmert, Dirk and Kiel, Frederik}},
booktitle = {{Engineering Failure Analysis}},
issn = {{1873-1961}},
keywords = {{Combined failure mechanisms, Combination of analytical methods, Procedure of analysis}},
number = {{5}},
publisher = {{Elsevier}},
title = {{{Mechanisms of failure and state analysis of electrical connectors in automobiles}}},
doi = {{10.1016/j.engfailanal.2025.109427}},
volume = {{173}},
year = {{2025}},
}
@misc{12876,
abstract = {{Carrot juice is valued for its high vitamin and antioxidant content, necessitating gentle thermal processing
to preserve these nutrients. Its slightly acidic pH value requires a two-step heating process, warranting
optimization to enhance product quality and resource efficiency. This study investigated the impact of
varying the first heating step between 100 and 130 °C on chemical, sensory, and microbiological parameters.
While other chemical parameters remained stable, lactic acid content increased significantly from 55 to 1405
mg/L over downtimes, highlighting the influence of external factors that could not be influenced within the
investigations. Lower heating temperatures compromised microbiological stability, with spore-forming
bacteria (5 colony forming units per 20 mL) detected at just a 10 °C reduction. Sensory quality showed
minimal change, with descriptive analysis identifying only 3 respectively 4 significantly different attributes
out of 19 across the factors experimental parameter setting and technical repetition. The quality of raw
materials had a more pronounced impact on sensory outcomes than the heating temperature. This study
concludes that adjusting the first heating temperature has limited benefits for sensory quality but risks
microbiological safety. Emphasis should therefore be placed on ensuring high-quality raw materials and
consistent raw juice properties to maintain product quality.}},
author = {{Weishaupt, Imke and Katsch, Linda and Sokolowsky, Martina and Schneider, Jan}},
booktitle = {{Brewing science : the scientific organ of the Weihenstephan Scientific Centre of the TU Munich, of Versuchs- and Lehranstalt für Brauerei in Berlin (VLB), of the Scientific Station for Breweries in Munich, of the Veritas laboratory in Zurich, of Doemens wba-Technikum Gmbh in Graefelfing/Munich = Monatsschrift für Brauwissenschaft}},
issn = {{1866-5195 }},
keywords = {{fractionated sterilization, carrot juice, descriptive analysis, microbiological stability}},
number = {{3/4}},
pages = {{17--26}},
publisher = {{Fachverlag Hans Carl GmbH}},
title = {{{Comparative study on the effect of mild temperature conditions in fractionated sterilization of carrot juice on microbiological stability and sensory properties}}},
doi = {{10.23763/BrSc25-04weishaupt}},
volume = {{78}},
year = {{2025}},
}
@misc{13022,
abstract = {{Numerous single-track railway lines are currently disused due to economic factors. These lines could potentially be reactivated by small vehicles that utilise only a single rail, enabling bidirectional operation simultaneously. The MONOCAB is such a compact monorail vehicle, stabilised by a system of control moment gyroscopes (CMGs) and a laterally movable, controllable trim mass. Despite their potential, there is currently a lack of comparative references for MONOCABs in relation to other vehicles. In the context of mechanical design and construction, interdependencies with roll stabilisation occur. Of particular concern are torsional effects, which can significantly impact stability. This study investigates the structural dynamics of monorail vehicles with a focus on the influence of gyroscopes. Gyroscopic systems play a significant role in the behaviour of such vehicles, affecting stability, control and response to external disturbances. Through a comprehensive approach encompassing analytical modelling, numerical simulations, and experimental validation, the interactions between the vehicle's structure and gyroscopic components are explored. The analytical considerations are validated via experimentally derived frequency responses utilising a full-scale monorail vehicle. The results of this study have implications for various fields, such as transportation, robotics and aerospace engineering.}},
author = {{Griese, Martin and Schulte, Thomas}},
booktitle = {{Vehicle system dynamics : international journal of vehicle mechanics and mobility}},
issn = {{1744-5159}},
keywords = {{Vehicle dynamics, rail vehicle, control moment gyroscope, stabilisation control, motion control, stability analysis}},
publisher = {{Taylor & Francis}},
title = {{{Gyroscopic effects in the structural dynamics of monorail vehicles}}},
doi = {{10.1080/00423114.2025.2480820}},
volume = {{63}},
year = {{2025}},
}
@misc{13084,
abstract = {{Thermal preservation is widely used for the stabilization of fruit and vegetable juices. However, this method can potentially impair product quality and it is necessary to categorize and quantify these changes in order to optimize the treatment process. Here, carrot juice was treated with different time temperature combinations selected to achieve equivalent microbiological lethality. Different temperatures were selected - low temperature long time (LTLT) with 90 and 95 °C and high temperature short time (HTST) with 120 and 125 °C. The thermally treated juice exhibited significant differences in physical, chemical and sensory parameters in contrast to untreated juice. HTST treatment had less of a negative effect on the juice. A significant deterioration in odor, appearance and taste was observed after the LTLT treatment compared to an untreated reference juice. The juice exhibited elevated acid taste, a shift in olfactory profile from white to red vegetables and diminished homogeneity. Significant changes in sugar composition, pH, carotenoids and color were also observed during this treatment. The juice that had been treated with LTLT exhibited a higher amount of monosaccharides, a lower pH value, a reduced quantity of carotenoids and a perceptible difference in color in comparison to the untreated and fresh juice. Therefore, it can be concluded that varying temperatures show different effects on juice quality, despite the same microbiological lethal effect. This must be taken into account when designing the pasteurization process.}},
author = {{Katsch, Linda and Weishaupt, Imke and Sokolowsky, Martina and Gibson, Brian R. and Schneider, Jan}},
booktitle = {{European Food Research and Technology}},
issn = {{1438-2385}},
keywords = {{Carrot juice, Sterilization, Carotenoids, Descriptive analysis, PCA, HTST}},
number = {{251}},
pages = {{3649--3668}},
publisher = {{Springer}},
title = {{{Impact of equivalent sterilization processes with different time- temperature combinations on the chemical, physical and sensory properties of carrot juice}}},
doi = {{https://doi.org/10.1007/s00217-025-04860-5}},
year = {{2025}},
}
@misc{13271,
abstract = {{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.}},
author = {{Katsch, Linda and Sokolowsky, Martina and Gibson, Brian and Schneider, Jan}},
booktitle = {{Applied Food Research}},
issn = {{2772-5022}},
keywords = {{Cloudy apple juice, HTST, juice pasteurization, sensory analysis, process optimization, equivalent microbial lethality}},
number = {{2}},
publisher = {{Elsevier}},
title = {{{Influence of different pasteurization conditions with equivalent pasteurization units on chemical, physical, and sensory properties of cloudy apple juice}}},
doi = {{10.1016/j.afres.2025.101471}},
volume = {{5}},
year = {{2025}},
}
@misc{11495,
abstract = {{To evaluate the suitability of an analytical instrument, essential figures of merit such as the limit of detection (LOD) and the limit of quantification (LOQ) can be employed. However, as the definitions k nown in the literature are mostly applicable to one signal per sample, estimating the LOD for substances with instruments yielding multidimensional results like electronic noses (eNoses) is still challenging. In this paper, we will compare and present different approaches to estimate the LOD for eNoses by employing commonly used multivariate data analysis and regression techniques, including principal component analysis (PCA), principal component regression (PCR), as well as partial least squares regression (PLSR). These methods could subsequently be used to assess the suitability of eNoses to help control and steer processes where volatiles are key process parameters. As a use case, we determined the LODs for key compounds involved in beer maturation, namely acetaldehyde, diacetyl, dimethyl sulfide, ethyl acetate, isobutanol, and 2-phenylethanol, and discussed the suitability of our eNose for that dertermination process. The results of the methods performed demonstrated differences of up to a factor of eight. For diacetyl, the LOD and the LOQ were sufficiently low to suggest potential for monitoring via eNose. }},
author = {{Kruse, Julia and Wörner, Julius and Schneider, Jan and Dörksen, Helene and Pein-Hackelbusch, Miriam}},
booktitle = {{Sensors}},
issn = {{1424-8220 }},
keywords = {{multidimensional sensor arrays, MOS sensors, beer fermentation, process control, gas analysis, metal oxide semiconductors, intentional data analysis, chemometrics, PLSR, PCA, first-order calibration}},
number = {{11}},
publisher = {{MDPI}},
title = {{{Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses }}},
doi = {{10.3390/s24113520}},
volume = {{24}},
year = {{2024}},
}
@misc{12022,
author = {{Luttmann, Mario and Blome, André and Segermann, Jan and Jekle, Mario and Frahm, Björn and Müller, Ulrich}},
keywords = {{colorimetry, photogrammetry, wheat rolls, crust colour, 3D analysis}},
location = {{Lemgo}},
title = {{{Erkenntnisse zur Nutzung von Photogrammmetrie für die Untersuchung des Bräunungsverhaltens von Weizenbrötchen}}},
year = {{2024}},
}
@misc{12697,
abstract = {{The automotive industry is extremely important in Germany and its OEMs and suppliers are still globally competitive. However, the shift from combustion engines to e-mobility drive trains is restructuring the industry. Accordingly, this paper analyzes the determinants affecting the emergence of e-mobility drive technologies in the automotive sector. In doing so, we emphasize the role of digital technologies in the sector’s environmental transformation, drawing from the “twin-transition” framework, where digital and green shifts mutually influence one another. Methodically, we use an event-history approach to empirically explore the early appearance of R&D activities in the form of patent-based or funded-project-based collaboration events at the regional level over the period 1990 to 2018. Our results indicate positive and significant relatedness between various digitalization variables and the early emergence of e-mobility activities in regions. At the same time, the geographical context appears to be only of marginal importance.}},
author = {{Wolf, Patrick and Kudic, Muhamed and Buchmann, Tobias}},
booktitle = {{Journal of Innovation Economics & Management}},
issn = {{2032-5355}},
keywords = {{Twin-Transition, Sustainable Transition, E-Mobility Regional Transition, Event History Analysis, R&D Collaboration}},
number = {{3}},
pages = {{95--122}},
publisher = {{De Boeck Université }},
title = {{{Digitalization and the Emergence of E-Mobility Technology in German Regions}}},
doi = {{10.3917/jie.pr1.0170}},
volume = {{45}},
year = {{2024}},
}
@misc{12851,
abstract = {{Currently, numerous single-track railway lines are disused due to economic reasons. They could be reactivated by small vehicles that use only one rail and thus can be operated in both directions at the same time. MONOCABs are such small cabin-like vehicles, stabilized by a system of control moment gyroscopes and a trim mass. They could make an important contribution to improve the mobility offer especially in rural areas. Regarding the MONOCAB, there is currently no reference in comparison with other vehicles. In the context of mechanical design and construction, interdependencies with vertical stabilization occur. Torsional effects in particular can critically affect the stability. This paper investigates the influence of mechanical eigenmodes on the vertical stabilization system. Specific characteristics of the system (especially due to the gyroscopes) are highlighted by a model-based analysis. Moreover, a FEM modal analysis is used to examine the supporting frame of the vehicle. The results are compared to experimentally estimated frequency responses of a full-scale monorail vehicle.}},
author = {{Griese, Martin and Döding, Patrick and Schulte, Thomas}},
booktitle = {{Advances in Dynamics of Vehicles on Roads and Tracks III : Proceedings of the 28th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2023, August 21–25, 2023, Ottawa, Canada - Volume 1: Rail Vehicles }},
editor = {{Huang, Wei and Ahmadian, Mehdi }},
isbn = {{978-3-031-66970-5}},
issn = {{2195-4364}},
keywords = {{vehicle dynamics, roll stabilization, modal analysis}},
location = {{Ottawa, CANADA}},
pages = {{107--116}},
publisher = {{Springer Nature Switzerland}},
title = {{{Analysis of Mechanical Eigenmodes of a Self-stabilizing Monorail Vehicle}}},
doi = {{10.1007/978-3-031-66971-2_12}},
year = {{2024}},
}
@misc{12993,
abstract = {{In computer science and related technical fields, researchers, educators, and practitioners are continuously automating recurring tasks for high efficiency in a wide variety of fields. In higher education, such tasks that educators face are the recurring review and assessment process of students' programming coursework. Thus, various attempts exist to automate the assessment and feedback generation for course homework and practicals in higher education. Those approaches for automated programming task assessment often comprise running automated tests to check for limited functional correctness and potentially style checking for various violations (LINTing). Educators familiar with large-scale automated task assessment are likely used to seeing hard-coded solutions specifically or accidentally designed to just pass the required tests, ignoring or misinterpreting the actual task requirements. Detecting such issues in arbitrary code is non-trivial and an ongoing research topic in software engineering. Software engineering research has yielded various semantic analysis frameworks, such as GitHub's CodeQL, which can be adapted for programming task assessment. We present a work-in-progress programming task analysis framework which employs CodeQL's analysis technology to identify the actual use of task-description-mandated syntactic and semantic elements such as loop structures or the use of mandated data blocks in branching conditions. This allows extending existing course work analysis frameworks to include a semantic check of an uploaded program which exceeds the relatively simple set of input-output test cases provided by unit tests. We use a running example of entry level programming tasks and several solution attempts to introduce and explain our proposed control flow and data flow -based analysis method. We discuss the benefits of including semantic analysis as an additional method in the automated programming task assessment toolbox. Our main contribution is the adaptation of an semantic analysis code framework to analyse syntactic and semantic components in students' programming coursework.}},
author = {{Wehmeier, Leon and Eilermann, Sebastian and Niggemann, Oliver and Deuter, Andreas}},
booktitle = {{FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings / 2023 IEEE Frontiers in Education Conference (FIE)}},
isbn = {{979-8-3503-3643-6}},
keywords = {{Codes, Electronic learning, Soft sensors, Semantics, Education, Syntactics, Task analysis}},
location = {{Texas}},
publisher = {{IEEE}},
title = {{{Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis}}},
doi = {{10.1109/fie58773.2023.10342916}},
year = {{2024}},
}
@misc{13607,
abstract = {{Background
Previous investigations on the Eating Disorder Examination-Questionnaire (EDE-Q) factor structures in men have been restricted to non-clinical settings, limiting conclusions about the factorial validity in men with eating disorders (ED). This study aimed to examine the factor structure of the German EDE-Q in a clinical group of adult men with diagnosed ED.
Methods
ED symptoms were assessed using the validated German version of the EDE-Q. Exploratory factor analysis (EFA) using principal-axis factoring based on polychoric correlations was conducted for the full sample (N = 188) using Varimax-Rotation with Kaiser-Normalization.
Results
Horn’s parallel analysis suggested a five-factor solution with an explained variance of 68%. The EFA factors were labeled “Restraint” (items 1, 3–6), “Body Dissatisfaction” (items 25–28), “Weight Concern” (items 10–12, 20), “Preoccupation” (items 7 and 8), and “Importance” (items 22 and 23). Items 2, 9, 19, 21, and 24 were excluded due to low communalities.
Conclusions
Factors associated with body concerns and body dissatisfaction in adult men with ED are not fully represented in the EDE-Q. This could be due to differences in body ideals in men, e.g., the underestimation of the role of concerns about musculature. Consequently, it may be useful to apply the 17-item five-factor structure of the EDE-Q presented here to adult men with diagnosed ED.}},
author = {{Laskowski, Nora M. and Halbeisen, Georg and Braks, Karsten and Huber, Thomas J.J. and Paslakis, Georgios}},
booktitle = {{Journal of Eating Disorders}},
issn = {{2050-2974}},
keywords = {{Eating disorders, Eating Disorder Examination-Questionnaire, EDE-Q, Factor analysis, Men’s health, Body dissatisfaction, Muscularity}},
number = {{1}},
publisher = {{BioMed Central}},
title = {{{Factor structure of the Eating Disorder Examination-Questionnaire (EDE-Q) in adult men with eating disorders}}},
doi = {{10.1186/s40337-023-00757-4}},
volume = {{11}},
year = {{2023}},
}
@misc{13631,
abstract = {{This study examined the dimensional structure of the German Eating Disorder Examination-Questionnaire (EDE-Q) in clinical groups of women with Anorexia Nervosa (AN; N = 821), Bulimia Nervosa (BN; N = 573), and Binge-Eating Disorder (BED; N = 359) using Exploratory Graph Analyses (EGA). The EGA yielded a 12-item-four-dimension structure for the AN group (subscales “Restraint”, “Body Dissatisfaction”, “Preoccupation”, “Importance”), a 20-item-five-dimension structure for the BN group (subscales “Restraint”, “Body Dissatisfaction”, “Eating Concern”, “Preoccupation”, “Importance”), and a 17-item-four-dimension structure for the BED group (subscales “Restraint”, “Body Dissatisfaction”, “Concern”, “Importance”). This first investigation of the EDE-Q's dimensional structure using EGA suggests that the original factor model may be suboptimal for specific clinical ED samples and that alternative scoring should be considered when screening specific cohorts or evaluating the effects of interventions.}},
author = {{Laskowski, Nora M. and Halbeisen, Georg and Braks, Karsten and Huber, Thomas J. and Paslakis, Georgios}},
booktitle = {{Journal of Psychiatric Research}},
issn = {{0022-3956}},
keywords = {{Exploratory graph analysis, EGA, EDE-Q, Eating disorder examination questionnaire, Eating disorder, Psychotherapy}},
number = {{7}},
pages = {{254--261}},
publisher = {{Elsevier BV}},
title = {{{Exploratory graph analysis (EGA) of the dimensional structure of the eating disorder examination-questionnaire (EDE-Q) in women with eating disorders}}},
doi = {{10.1016/j.jpsychires.2023.05.063}},
volume = {{163}},
year = {{2023}},
}
@misc{10326,
abstract = {{In the food industry, and especially in wines as products thereof, ethanol and sulfur dioxide play an equally important role. Both substances are important wine quality characteristics as they influence the taste and odor. As both substances comprise volatile matter, electronic noses should be applicable to discriminate the different qualities of wines. Our study investigates the influence of alcohol and sulfur dioxide on the discrimination ability of wines (especially those of the same grape variety) using two different electronic nose systems. One system is equipped with metal oxide sensors and the other with quartz crystal microbalance sensors. Contrary to indications in literature, where the alcohol content is discussed to have a large influence on e-nose results, it was shown that a difference of 1 % ethanol was not sufficient to allow accurate discrimination using Linear Discriminant Analysis by any system. On the positive side, the analyzed concentrations of ethanol (about 12 %) did not superimpose other volatile information. So difference in sulfur dioxide content gave an accuracy for sample discrimination of up to 90.6 % with MOS nose. Thus, we are so far partially able to discriminate wines with electronic noses based on their volatile imprint.}},
author = {{Wörner, Julius and Dörksen, Helene and Pein-Hackelbusch, Miriam}},
booktitle = {{2023 IEEE 21st International Conference on Industrial Informatics (INDIN)}},
keywords = {{Ethanol, Pipelines, Metals, Nose, Electronic noses, Sensor systems, Sensors, Quartz crystals, Linear discriminant analysis, Sulfur}},
location = {{Lemgo}},
title = {{{Key Indicators for the Discrimination of Wines by Electronic Noses}}},
doi = {{https://doi.org/10.1109/INDIN51400.2023.10217912}},
year = {{2023}},
}
@misc{12811,
abstract = {{For environmental, sustainable economic and political reasons, recycling processes are becoming increasingly important, aiming at a much higher use of secondary raw materials. Currently, for the copper and aluminum industries, no method for the non-destructive online analysis of heterogeneous materials is available. The prompt gamma neutron activation analysis (PGNAA) has the potential to overcome this challenge. A difficulty when using PGNAA for online classification arises from the small amount of noisy data, due to short-term measurements. In this case, classical evaluation methods using detailed peak by peak analysis fail. Therefore, we propose to view spectral data as probability distributions. Then, we can classify material using maximum log-likelihood with respect to kernel density estimation and use discrete sampling to optimize hyperparameters. For measurements of pure aluminum alloys we achieve near-perfect classification of aluminum alloys under 0.25 s.}},
author = {{Shayan, Helmand and Krycki, Kai and Doemeland, Marco and Lange-Hegermann, Markus}},
booktitle = {{IEEE Transactions on Nuclear Science}},
issn = {{1558-1578}},
keywords = {{Classification of metal, kernel density estimation, maximum log-likelihood, online classification, prompt gamma neutron activation analysis (PGNAA) spectral classification, random sampling}},
number = {{6}},
pages = {{1171--1177}},
publisher = {{IEEE}},
title = {{{PGNAA Spectral Classification of Metal With Density Estimations}}},
doi = {{10.1109/tns.2023.3242626}},
volume = {{70}},
year = {{2023}},
}
@misc{13010,
abstract = {{Especially in highly interdisciplinary fields such as automation engineering, contemporary programming education with tailored assignments and individual feedback is a major challenge for educational institutions due to the increasing number of students per teacher and the ever-increasing demand for computer science professionals. To address this gap, we present ”KIAAA” an AI Assistant for Automation Engineering Teaching, a work-in-progress approach for an integrated, customized, and AI-based learning support system for automation and programming courses based on instructor-defined course objectives. Thereby in the KIAAA system, the individual knowledge level of the students is determined and individually tailored virtual learning scenarios are generated based on the knowledge and learning profile of the students. These are iteratively adapted based on the answers given. To achieve this, KIAAA uses several AI components, a hybrid rule-based scenario generation component, a Help-DKT-based cognitive model, and a solution assessor that uses a combination of traditional code analysis methods and AI-based analyses methods for automated programming task assessment. These components are the main parts of KIAAA to generate customized programming scenarios as well as visualization and simulation based on a modern game and physics engine.}},
author = {{Eilermann, Sebastian and Wehmeier, Leon and Niggemann, Oliver and Deuter, Andreas}},
booktitle = {{2023 IEEE 21st International Conference on Industrial Informatics (INDIN)}},
editor = {{Jasperneite, Jürgen}},
isbn = {{978-1-6654-9314-7}},
keywords = {{Visualization, Automation, Education, Games, Hybrid power systems, Task analysis, Artificial intelligence}},
location = {{Lemgo}},
publisher = {{IEEE}},
title = {{{KIAAA: An AI Assistant for Teaching Programming in the Field of Automation}}},
doi = {{10.1109/indin51400.2023.10218157}},
year = {{2023}},
}
@misc{13014,
abstract = {{In the interdisciplinary field of green space health research, there is a demand to reduce the effort to assess green space, especially for non-spatial disciplines. To address this issue, we developed AID-PRIGSHARE, an open-source script that automates over 400 QGIS processes to substantially reduces the time-intensive task of generating green space indicators. AID-PRIGSHARE calculatesgreenness, green space amount, access to green infrastructure, and green space uses within distances of 100–1500 m around geolocations. This substantially reduces the effort for sensitivity analysis and may provide support for research that aims to understand the impact of green space indicators on health outcomes.}},
author = {{Cardinali, Marcel and Beenackers, Mariëlle A. and van Timmeren, Arjan and Pottgiesser, Uta}},
booktitle = {{Software Impacts}},
issn = {{2665-9638}},
keywords = {{Green space, Sensitivity analysis, Indicator, GIS, Script, Automatization}},
publisher = {{Elsevier BV}},
title = {{{AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines}}},
doi = {{10.1016/j.simpa.2023.100506}},
volume = {{16}},
year = {{2023}},
}
@misc{9204,
abstract = {{The development of autonomous vehicles and the integration of new information and communication technologies are making the reliability of electrical systems and components in modern vehicles increasingly important. Electrical connectors are a crucial component in an electrical on-board system. They are exposed to a wide variety of influences by the environment and operating conditions. Thus, the degradation of electrical connectors can occur. Material and surface analysis methods are the tools used to analyze the degradation mechanisms in connectors after lifetime tests, as well as in field operations. Within the framework of this study, a wide variety of methods from the analytical scope are presented and discussed. The connector surfaces degraded by different failure mechanisms are analyzed using various material and surface analysis methods. The quality and the nature of the analyses results obtained from various analysis methods are compared. Also, this study deals with the benefits and limitations, as well as the effort and the specific challenges of different material and surface analytical methods for the evaluation of failure mechanisms from the point of view of a material and surface analyst.}},
author = {{Kolmer, Philipp and Shukla, Abhay Rammurti and Song, Jian}},
booktitle = {{Technologies : open access journal}},
issn = {{2227-7080 }},
keywords = {{electrical connector, failure modes, wear, fretting corrosion, analysis, material, method}},
number = {{6}},
pages = {{124}},
publisher = {{MDPI}},
title = {{{Methods of Material and Surface Analysis for the Evaluation of Failure Modes for Electrical Connectors}}},
doi = {{https://doi.org/10.3390/technologies10060124}},
volume = {{10}},
year = {{2022}},
}
@misc{9211,
abstract = {{Lifetime tests of connectors are time consuming and labor intensive. Our study reveals a strong correlation between the statistical characteristics of contact resistance development in the early stages of lifetime tests and the final results of the tests. This correlation enables a further time lapse of lifetime tests and the prediction of the state of the health of connectors which can be utilized in the development of diagnostic strategy in sophisticated networks with very high number of connectors as well as in a quick classification of connectors with respect to their design features. Methods of statistical evaluation are introduced and the sensitivity analyses of different characteristics for the state of health of connectors are conducted.}},
author = {{Song, Jian and Shukla, Abhay Rammurti and Probst, Roman}},
booktitle = {{Electrical contacts - 2022 : proceedings of the Sixty-Seventh IEEE Holm Conference on Electrical Contacts}},
isbn = {{978-1-6654-5966-2}},
issn = {{2158-9992}},
keywords = {{Connectors, Correlation, Sensitivity analysis, Contact resistance, Lifetime estimation, Reliability, Electrical resistance measurement}},
location = {{Tampa, FL, USA}},
pages = {{272 -- 278}},
publisher = {{IEEE}},
title = {{{State of Health of Connectors – Early Indicators}}},
doi = {{10.1109/HLM54538.2022.9969839}},
year = {{2022}},
}
@misc{9213,
abstract = {{The function and reliability of electrical connectors in automotive applications is crucial for vehicle safety, especially with regard to E-mobility and autonomous driving. For this reason, electrical connectors are being developed for long-term use applications. However, a small amount of function failures are still being observed in long-term use field vehicles. In this study all electrical connectors of five long-term driven vehicles from various car manufacturers are disassembled and analyzed. The same analysis procedure is followed for every vehicle and the electrical resistance of the connectors is measured to determine electrical failures. The contacts of failed connectors are further analyzed using optical microscopy, XRF spectroscopy, EDS and detailed contact resistance mapping. By comparing the connectors with electrical failures to the same types of connectors with a proper electrical resistance, failure mechanisms can be detected and analyzed. The frequency of various failure mechanisms is statistically evaluated. The results of the analysis provide valuable indications with respect to improvement of the reliability of connectors.}},
author = {{Hilmert, Dirk and Yuan, Haomiao and Song, Jian}},
booktitle = {{Electrical contacts - 2022 : proceedings of the Sixty-Seventh IEEE Holm Conference on Electrical Contacts}},
isbn = {{978-1-6654-5966-2}},
issn = {{2158-9992}},
keywords = {{Connectors, Resistance, Spectroscopy, Optical microscopy, Microscopy, Vehicle safety, Failure analysis}},
location = {{Tampa, FL, USA}},
pages = {{9 -- 16}},
publisher = {{IEEE}},
title = {{{The Analysis of Failure Mechanisms of Electrical Connectors in Long-term Use Field Vehicles}}},
doi = {{10.1109/HLM54538.2022.9969820}},
year = {{2022}},
}
@misc{9281,
abstract = {{The four Futuro case studies (Futuro No. 000, Corfu-Futuro, Donaldson-Futuro, Munich-Futuro) presented in this journal document conservation approaches to plastic buildings and elements – in this case, glass-reinforced plastic (GRP) sandwich panels. They contribute to the definition of general conservation approaches, and at the same time reveal the knowledge gaps related to their individual histories and the necessity of a framework for managing interventions that are suited to GRP sandwich panels. The history and physical fabric of the selected Futuros, and the interventions done are compared in this article. The comparative analysis demonstrates how important it is to integrate a framework for adequate research and documentation into the conservation processes, in order to understand each building’s significance and plan the interventions accordingly. The arguments deduced from the analyses demonstrate which factors differentiate the conservation solutions of the case studies in order to reframe the Futuros’ expected life-span into a managed life-cycle.}},
author = {{Tyurkay, Ashal and Pottgiesser, Uta}},
booktitle = {{Docomomo Journal}},
issn = {{ 2773-1634}},
keywords = {{Futuro, deterioration, Conservation Management Plan (CMP), comparative analysis, plastics}},
number = {{1}},
pages = {{75--83}},
publisher = {{Docomomo International}},
title = {{{FROM DETERIORATION TO REVIVAL: Approaches to the Conservation of Plastic Buildings.}}},
volume = {{66}},
year = {{2022}},
}
@article{5425,
abstract = {{The feasibility of inline classification and characterization of seven fruit juice varieties was investigated by the application of near-infrared spectroscopy (NIRS) combined with chemometrics. The findings are intended to be used to optimize the flash pasteurization of liquid foods. More precise information of the kind of product in real time had to be achieved to enable a more product-specific process. Using the method of partial least squares discriminant analysis, the fruit juice varieties were classified, showing a classification rate of 100% regarding an internal and 69% regarding an external test sets. A characterization by the extract content, pH value, turbidity, and viscosity was made by fitting a partial least squares regression model. The percentage prediction error of the pH value was <3% for internal and external test sets, and for the Brix value prediction errors were about 4% (internal) and 20% (external). The parameters viscosity and turbidity were found to be unsuitable. Despite this, the strategy applied to gain more product-specific information in real time showed to be feasible. By linking the results to a database containing potentially harmful microorganisms for various types of fruit juices, a more product-specific calculation of the necessary heat input can be performed. To demonstrate the practical relevance, a comparison between conventional and product-adapted process control was performed using two fruit varieties as examples in case of Alicyclobacillus acidoterrestris. Thus, with more accurate product information, achieved through the use of NIRS with chemometrics, a more precise calculation of the heat input can be achieved.}},
author = {{Weishaupt, Imke and Neubauer, Peter and Schneider, Jan}},
issn = {{2048-7177}},
journal = {{Food Science & Nutrition}},
keywords = {{flash pasteurization, fruit juice characterization and classification, inline near-infrared spectroscopy, multivariate data analysis}},
number = {{3}},
pages = {{800--812}},
publisher = {{Wiley}},
title = {{{Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization}}},
doi = {{ https://doi.org/10.1002/fsn3.2709}},
volume = {{10}},
year = {{2022}},
}
@misc{8380,
abstract = {{Currently, numerous single-track railway lines are disused due to economic reasons. However, they could be reactivated for a bidirectional on-demand service traffic by small vehicles that use only one rail. MonoCabs are such small cabin-like vehicles, stabilized by a system of control moment gyroscopes and a moveable mass. They could make an important contribution to improve the mobility offer especially in rural areas. This paper is focused on the vertical stabilization system of the MonoCab. This system is discussed based on a physical three body model which describes the rolling motion of the vehicle, the lateral motion of the mass and the precession motion of the gyroscope. The model is utilized for a cascaded control concept adjusting the vehicle’s roll angle and gyroscope’s gimbal angle. The proposed stabilization concept is capable of compensating both high dynamic disturbances and stationary disturbances (e. g. unbalanced loads and steady wind flows). The concept is analyzed by simulations and experimental investigations utilizing a small scaled test rig and a rapid control prototyping system. Beside transient command responses also the frequency response of the system is experimentally evaluated and used for a validation of the model and theoretical findings.}},
author = {{Griese, Martin and Kottmeier, Fabian and Schulte, Thomas}},
booktitle = {{IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society}},
isbn = {{978-1-6654-3554-3}},
issn = {{2577-1647 }},
keywords = {{Vehicle dynamics, Control moment gyroscope, Control system analysis, Roll stabilization, Monorail vehicles}},
location = {{Toronto, ON, Canada }},
pages = {{pp. 1--6}},
publisher = {{IEEE}},
title = {{{Vertical control of a self-stabilizing monorail vehicle}}},
doi = {{10.1109/IECON48115.2021.9589726}},
year = {{2021}},
}
@misc{8385,
abstract = {{Currently, numerous single-track railway lines are disused due to economic reasons. However, they could be reactivated for a bidirectional on-demand service traffic by small vehicles that use only one rail. MonoCabs are such small cabin-like vehicles, stabilized by a system of control moment gyroscopes and a moveable mass. They could make an important contribution to improve the mobility offer especially in rural areas. This paper focuses on the analytical modeling and vertical stabilization system of the MonoCab. A nonlinear dynamic model is obtained using the Lagrangian method and subsequently linearized about its equilibrium point. Which is used for the design of the cascade control system. The dynamic analysis of the system is accomplished by comparing between analytically derived model in simulink environment and same structured model in simscape multibody. This system is discussed based on a physical three body model which describes the rolling motion of the vehicle, the lateral motion of the mass and the precession motion of the gyroscope. The model is utilized for a cascaded control concept adjusting the vehicle’s roll angle and gyroscope’s precession angle. The proposed stabilization concept is capable of compensating both high dynamic disturbances and stationary disturbances (e. g. unbalanced loads and steady wind flows). The concept is analyzed by simulations and experimental investigations. Beside transient command responses also the frequency response of the system is experimentally evaluated and used for a validation of the model and theoretical findings. For the experimental validation, a small scaled test rig is used which consists of mechanical frames and flywheels, inverter-fed drives, rotary encoders, an inertial measurement unit (IMU) and a rapid control prototyping system.}},
author = {{Griese, Martin and Mousavi, Seyed Davood and Schulte, Thomas}},
booktitle = {{2021 9th International Conference on Control, Mechatronics and Automation (ICCMA)}},
keywords = {{Vehicle dynamics, Control moment gyroscope, Control system analysis, Roll stabilization, Monorail vehicles}},
location = {{Belval, Luxembourg }},
pages = {{205--210}},
publisher = {{IEEE}},
title = {{{Modeling the Vertical Dynamics of a Self-stabilizing Monorail Vehicle}}},
doi = {{10.1109/ICCMA54375.2021.9646219}},
year = {{2021}},
}
@article{6898,
abstract = {{AbstractA statistical analysis is presented that investigates the dependence of team cities’ geographical distances on the effect of home advantage (HA) for 57 years of the men’s German first soccer division (“Bundesliga”), including 17,376 matches (seasons starting from 1964 to 2020). The data shows that the HA can clearly be evidenced in the past and present (statistical p‑value < 0.01) and that it also exists for negligible distances (p < 0.01). The HA and the influence of distance on the HA both significantly decreased gradually over the last decades (p < 0.01). For the first and only time, the HA reversed into an away advantage (AA) for the season 2019/2020 (p < 0.01). The influence of distance on HA has been significant (p < 0.01) in the past (before about 1990) and contributed roughly by about half, compared to a situation without HA or AA. It increases with distance and saturates at around 100 km. Such saturation behaviour is in line with results from higher divisions of other countries with similar travelling distances such as Italy, Turkey and England. However, the distance-dependent contribution to HA has been approximately halved and reduced to an insignificant amount today. Furthermore, the temporal HA reduction is significantly larger for large distances compared to short distances (p < 0.01). Reporting and quantifying a reduction (p < 0.01) of the distance-dependent contribution to HA over a time span of 57 years is novel.}},
author = {{Beckmann, Nils}},
issn = {{2509-3142}},
journal = {{German Journal of Exercise and Sport Research}},
keywords = {{Statistical analysis, Historic development, Geographical distance, Team performance, Home and away match results, Home advantage decline}},
title = {{{Statistical influence of travelling distance on home advantage over 57 years in the men’s German first soccer division}}},
doi = {{10.1007/s12662-021-00787-7}},
year = {{2021}},
}
@inproceedings{1903,
abstract = {{Because of the trend towards smaller batch sizes and customer-specific products, employees in assembly have to absorb and process more and more information. With the help of assistance systems, the process of information absorption and processing can be designed in a more economical and human-oriented way. Despite the potentials of such systems, companies pay too little attention to the informational design of assembly systems, resulting in a number of significant deficits in information management. To identify such deficits in operational practice, a questionnaire has been developed. This allows the potential use of informational assistance systems for an assembly system to be estimated. In this article, results from an exploratory factor analysis of the developed instrument will be presented and interpreted as a basis for the further development of the questionnaire.}},
author = {{Bendzioch, Sven and Hinrichsen, Sven and Adrian, Benjamin and Bornewasser, Manfred}},
booktitle = {{Advances in Human Factors and Systems Interaction AHFE 2019}},
editor = {{Nunes, Isabel L.}},
isbn = {{978-3-030-20039-8}},
keywords = {{Complexity evaluation, Manual assembly, Questionnaire, Work analysis method, Assistance systems, Exploratory factor analysis}},
location = {{Washington D.C., USA}},
pages = {{3--11}},
publisher = {{Springer}},
title = {{{Method for Measuring the Application Potential of Assembly Assistance Systems}}},
doi = {{https://doi.org/10.1007/978-3-030-20040-4_1}},
volume = {{959}},
year = {{2020}},
}
@article{5424,
abstract = {{Near infrared spectroscopy in combination with a transflection probe was investigated as inline measurement in a continuous flash pasteurizer system with a sugar-water model solution. Robustness and reproducibility of fluctuations of recorded spectra as well as trueness of the chemometric analysis were compared under different process parameter settings. Variable parameters were the flow rate (from laminar flow at 30 L/h to turbulent flow at 90 L/h), temperature (20 to 100 degrees C) and the path length of the transflection probe (2 and 4 mm) while the pressure was kept constant at 2.5 bar. Temperature and path length were identified as the most affecting parameters, in case of homogenous test medium. In case of particle containing systems, the flow rate could have an impact as well. However, the application of a PLS model, which includes a broad temperature range, and the correction of prediction results by applying a polynomial regression function for prediction errors, was able to compensate these effects. Also, a path length of 2 mm leads to a higher accuracy. The applied strategy shows that by the identification of relevant process parameters and settings as well as the establishment of a compensation strategy, near infrared spectroscopy is a powerful process analytical tool for continuous flash pasteurization systems.}},
author = {{Weishaupt, Imke and Zimmer, Manuel and Neubauer, Peter and Schneider, Jan}},
isbn = {{0022-1147}},
issn = {{1750-3841}},
journal = {{Journal of Food Science}},
keywords = {{flash pasteurization, inline near infrared spectroscopy, multivariate data analysis, process condition influences, sugar-water-solution model beverage}},
number = {{7}},
pages = {{2020 -- 2031}},
title = {{{Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer}}},
doi = {{10.1111/1750-3841.15307}},
volume = {{85}},
year = {{2020}},
}
@misc{12835,
abstract = {{Delayed-release dosage forms are mainly manufactured as batch processes and include coated tablets, pellets, or particles with gastric resistant polymers. Authors propose a novel approach using the hot-melt extrusion technique to prepare delayed release dosage forms via a continuous manufacturing process, a new trend in the pharmaceutical industry. A full factorial design was employed to correlate input variables, including stearic acid (SA) content, drug content, and pellet size with drug release properties of the pellets. PLS fit method suitably elaborated the relationship between input and output variables with reasonably good fit and goodness of prediction. All three input factors influenced drug release in enzyme-free simulated gastric fluid (SGF) after 120 min; however, SA content did not significantly affect drug dissolution in the enzyme-free simulated intestinal fluid (SIF). An optimized formulation and design space were determined by overlaying multiple contours established from regression equations. The continuous manufacturing process was successfully monitored using inline near-infrared (NIR) and inline particle size analysis, with drug load and pellet size being well-controlled within the design space. The obtained pellets released less than 5% after 120 min in SGF and more than 85% and 95% after 30 min and 45 min, respectively, after switching to SIF. (C) 2020 American Pharmacists Association (R). Published by Elsevier Inc. All rights reserved.}},
author = {{Vo, Anh Q. and Kutz, Gerd and He, Herman and Narala, Sagar and Bandari, Suresh and Repka, Michael A.}},
booktitle = {{Journal of Pharmaceutical Sciences}},
issn = {{1520-6017}},
keywords = {{Continuous manufacturing, Delayed-release, FT-NIR, Inline particle size analysis, Hot melt extrusion}},
number = {{12}},
pages = {{3598--3607}},
publisher = {{Elsevier BV}},
title = {{{Continuous Manufacturing of Ketoprofen Delayed Release Pellets Using Melt Extrusion Technology: Application of QbD Design Space, Inline Near Infrared, and Inline Pellet Size Analysis}}},
doi = {{10.1016/j.xphs.2020.09.007}},
volume = {{109}},
year = {{2020}},
}
@inproceedings{2005,
abstract = {{We present a method for the fast and robust linear classification of badly conditioned data. In our considerations, badly conditioned data are such data which are numerically difficult to handle. Due to, e.g. a large number of features or a large number of objects representing classes as well as noise, outliers or incompleteness, the common software computation of the discriminating linear combination of features between classes fails or is extremely time consuming. The theoretical foundations of our approach are based on the single feature ranking, which allows fast calculation of the approximative initial classification boundary. For the increasing of classification accuracy of this boundary, the refinement is performed in the lower dimensional space. Our approach is tested on several datasets from UCI Reposi-tiory. Experimental results indicate high classification accuracy of the approach. For the modern real industrial applications such a method is especially suitable in the Cyber-Physical-System environments and provides a part of the workflow for the automated classifier design}},
author = {{Dörksen, Helene and Lohweg, Volker}},
booktitle = {{23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}},
keywords = {{Task analysis, Software, Linear discriminant analysis, Dimensionality reduction, Mathematical model, Covariance matrices, Measurement}},
location = {{ Turin, Italy }},
title = {{{Linear Classification of Badly Conditioned Data. }}},
doi = {{10.1109/ETFA.2018.8502485}},
year = {{2018}},
}
@inproceedings{2008,
abstract = {{We concentrate our research activities on the multivariate feature selection, which is one important part of many machine learning tasks. In partucular, Linear Discriminant Analysis [1] belongs to the state-of-the-art methods for the multivariate analysis. From the theoretical point of view, it is the well-known fact that LDA is best suitable in the case the features are Gaussian distributed.
In the theoretical part of the presented paper, we analyse the properties of the multivariate discriminant analysis with respect to the feature selection. In this context, we consider a binary supervised learning task and assume that the features are Gaussian distributed. The discriminant analysis solves the mentioned supervised learning task by maximising of the discriminant value, calculated for the linear combination of the features.
The initial LDA solution a 2 Rd is considered for all given features from the feature space X Rd. The corresponding discriminant is calculated by the formula:
d(a; x1, . . . , xd) := (μ+ − μ−)2
2+
+ 2−
,
where μ+/− are projected class means and 2 +/− are projected class variances (with respect to a). We proof several propositions with the aim to find subsets of the features having higher discriminant value as original d(a; x1, . . . , xd). For the suitability in the real world settings, here we are interested in fast searching for such subsets.
The performance of the mentioned propositions is examined experimentally on datasets from UCI repository [2]. Several application scenarien will be discussed and tested on the datasets. In addition, tests show that the performance can be achieved also in the case the features are not Gaussian distributed.}},
author = {{Dörksen, Helene and Lohweg, Volker}},
booktitle = {{European Conference on Data Analysis (ECDA2018)}},
keywords = {{multivariate feature selection, Gaussian distribution, linear discriminant analysis}},
location = {{Paderborn}},
title = {{{Multivariate Gaussian Feature Selection. }}},
year = {{2018}},
}
@inproceedings{10668,
abstract = {{Digitalization has a significant impact on our working life and it allows whole industries to rethink their value chains. This paper examines how digitalization relates to complexity in work systems with respect to relevant organizational fields of work organization. 23 semi-structured interviews with experts from science and economy were conducted and analyzed. Key findings are that digitalization has far-reaching, interrelated implications for all organizational fields. Moreover, digitalization-related aspects were identified which have the potential to increase complexity in work systems.}},
author = {{Latos, Benedikt and Harlacher, Markus and Przybysz, Philipp M. and Mutze-Niewohner, Susanne}},
booktitle = {{2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}},
issn = {{2157-362X}},
keywords = {{Complexity theory, Interviews, Organizations, Industries, Task analysis, Acceleration}},
location = {{Singapore}},
publisher = {{IEEE}},
title = {{{Transformation of working environments through digitalization: Exploration and systematization of complexity drivers}}},
doi = {{10.1109/ieem.2017.8290059}},
year = {{2018}},
}
@inproceedings{577,
abstract = {{A rising number of product variants together with decreasing lot sizes are a result of the trend of individualization. Besides the upcoming organizational issues, changes in the production technologies are required. Direct digital manufacturing contributes to solve this problem by enabling the production of parts right from the CAD data.Process capability analysis is applied in several industries to prove the reliable compliance of products with quality requirements. As it is based on statistical methods, new challenges arise in the context of single-part production.The paper describes and compares different approaches for the adoption of process capability analysis for single-part production with special focus on additive manufacturing technologies. The statistical background and the applicability of different capability parameters are discussed. An overview of existing research work is given and supplemented by own approaches for the adoption of statistical methods for single-part production. The aim of the research work is to establish a first approach for the qualification of new technologies in single-part production.}},
author = {{Huxol, Andrea and Davis, Andrea and Villmer, Franz-Josef and Scheideler, Eva}},
booktitle = {{Production Engineering and Management}},
editor = {{Padoano, Elio and Villmer, Franz-Josef}},
isbn = {{978-3-946856-01-6}},
keywords = {{Statistical process control, Process capability analysis, Single-part production, Process optimization}},
location = {{Pordenone, Italy}},
number = {{1}},
pages = {{63--74}},
title = {{{Deployment of Process Capability Analysis for Single-Part Production}}},
year = {{2017}},
}
@inproceedings{265,
abstract = {{The maintenance of a tool for injection molding or forming is usually accompanied by its disassembly and assembly. The duration of the assembly activities is often a large part of the total activity time for the maintenance of the tool. The degree of performance of the employees in the execution of these disassembly and assembly activities is often low. In addition, allowances occur (e.g. searching for work equipment). At the Industrial Engineering Lab of the Ostwestfalen-Lippe University of Applied Sciences, a prototype of an assistance system was developed to support the assembly activities in toolmaking. With the help of this system, the operator is guided step by step through the assembly process. The economic potential of the system exists in the reduction of training times, the avoidance of assembly errors and the increase of labor productivity.}},
author = {{Hinrichsen, Sven and Riediger, Daniel and Unrau, Alexander}},
booktitle = {{2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}},
isbn = {{978-1-5386-0948-4 }},
keywords = {{injection moulding, machine tools, maintenance engineering, productivity, projection-based assistance system, injection molding tools, assembly activities, assembly process, assembly errors, tool maintenance, disassembly activities, economic potential, Industrial Engineering Lab, Ostwestfalen-Lippe University of Applied Sciences, toolmaking, Tools, Injection molding, Maintenance engineering, Usability, Task analysis, Workstations, Morphology, assembly assistance systems, assistance systems, maintenance of injection molding tools, manual assembly}},
location = {{Singapore}},
number = {{1}},
pages = {{1571--1575}},
title = {{{Development of a Projection-Based Assistance System for Maintaining Injection Molding Tools}}},
doi = {{https://doi.org/10.1109/IEEM.2017.8290157}},
year = {{2017}},
}
@inproceedings{2133,
abstract = {{Due to the material changes of components from metal to plastic or composite materials, the structural health monitoring finds more and more interest in the industrial fields. The reason is that these materials are more vulnerable to damage or impacts which cannot be optically detected. In this contribution we present a method to analyze the structure of plastic components with piezo-electrical sensors and actuators. The components are stimulated by actuators, and sensors capture the injected vibrations. These signals are decomposed into Intrinsic Mode Functions to compute statistical features. A Fuzzy-Pattern-Classifier is applied to detect structural modifications at the components under test.}},
author = {{Dicks, Alexander and Lohweg, Volker and Wittke, Henrik and Linke, Stefan}},
booktitle = {{20th IEEE International Conference on Emerging Technologies and Factory Automation}},
keywords = {{Sensors, Actuators, Finite element analysis, Plastics, Modal analysis, Monitoring, Empirical mode decomposition}},
title = {{{Structural Health Monitoring of Plastic Components with Piezoelectric Sensors}}},
doi = {{ 10.1109/ETFA.2015.7301595}},
year = {{2015}},
}
@article{2312,
author = {{Barthold, Franz-Joseph and Materna, Daniel}},
issn = {{1097-0207}},
journal = {{International Journal for Numerical Methods in Engineering}},
keywords = {{extended finite element method, structural optimisation, sensitivity analysis}},
number = {{3}},
pages = {{209--234}},
publisher = {{Wiley Online Library}},
title = {{{A modified extended finite element method approach for design sensitivity analysis}}},
doi = {{10.1002/nme.4930}},
volume = {{104}},
year = {{2015}},
}
@inproceedings{2375,
abstract = {{Industrial wireless communication in license-free spectrum bands such as the 2.4-GHz-ISM band suffer from motion and multipath effects, which cause a high time- and frequency-variant channel attenuation. Additionally, mutual interference from heterogeneous wireless technologies limits real-time capabilities of industrial wireless technologies. Therefore, performance validations of industrial wireless technologies within appropriate industrial wireless environments are necessary. In this paper, we present the first raw measurement data set publication of an industrial wireless environment characterization in a data repository for free public access to enable transparent industrial wireless technology validation and to enhance their comparability. We characterize the whole license-free 2.4-GHz-ISM band with a time resolution of 110 μs and a frequency resolution of 1MHz in a coexistence scenario with four antennas obstructed by robot arm movements. Additionally, the frequency and time variance of the measured channel attenuations are analyzed.}},
author = {{Block, Dimitri and Fliedner, Niels Hendrik and Toews, Daniel and Meier, Uwe}},
booktitle = {{2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)}},
isbn = {{9781467379298}},
keywords = {{Wireless communication, Wireless sensor networks, Antenna measurements, Attenuation measurement, Extraterrestrial measurements, Time-frequency analysis}},
location = {{ Luxembourg, Luxembourg}},
title = {{{Wireless channel measurement data sets for reproducible performance evaluation in industrial environments}}},
doi = {{10.1109/etfa.2015.7301599}},
year = {{2015}},
}
@inproceedings{597,
abstract = {{This paper is aimed to discuss current research using data mining techniques and industry statistics in production environments. The general research approach is based on the idea of using data mining processes and techniques of industry statistics to find rare and hidden patterns behind failures of complex components. A case study will be applied to illustrate how the technique is carried out and where the limits of this approach occur. The case study deals with a component supplier of printing machines, which received an increasing number of client complaints, all related to one distinct problem. The observed failures seem to occur only among clients with very high quality standards. The affected component undergoes a very complex production process with several steps in different departments. Every single production unit records data information from multiple process variables and at different points in time. In the beginning there was no understanding of the failure causes in production at all. Therefore a huge amount of production data had to be analyzed to find the pattern that discloses the failure.
The data mining process starts with a first step in which the given data sets are prepared and then cleaned. Followed up by building a prediction model. The aim is to detect the root causes for failures and to predict potential failures in affected components. This paper shows how to use data mining to get the answer on pressing production failures.
}},
author = {{Scheideler, Eva and Ahlemeyer-Stubbe, Andrea}},
booktitle = {{Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy}},
editor = {{Padoano, Elio and Villmer, Franz-Josef}},
isbn = {{978-3-941645-11-0}},
keywords = {{Data mining, production failure, multi-variant analysis, multivariate process control, predictive modelling, case study}},
location = {{Trieste, Italy}},
number = {{1}},
pages = {{163--174}},
publisher = {{Hochschule Ostwestfalen-Lippe}},
title = {{{Data Mining: A Potential Detector to Find Failure in Complex Components}}},
year = {{2015}},
}
@inproceedings{4373,
abstract = {{Today, usability measures for the evaluation of systems and interfaces are mostly assessed in an isolated way. This paper addresses the question whether an integrative multi-dimensional feature evaluation can lead to different and more holistic results. We combined traditional measures (e.g., time to task completion) with advanced measures, like eye tracking, biosignal data logging and assessment of user emotions. For the evaluation of emotions, we used verbal methods (PAD Semantic Scale and a questionnaire) and a nonverbal method with EmoCards. The overall goal was to document and analyze the interaction as completely as possible (including effectiveness, efficiency and user satisfaction), focusing especially on objective measurements. Furthermore, the recording and assessment of emotions, which are part of the user experience, should give insights into user satisfaction.}},
author = {{Ermes, Verena and Janß, Armin and Radermacher, Klaus and Röcker, Carsten}},
booktitle = {{Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare }},
editor = {{Hein, Andreas}},
keywords = {{Usability Measures, User Experience, Eye Tracking, Biosignal Data Logging, Emotion Evaluation, Risk Analysis, Medical Devices, Integrated Usability Evaluation}},
location = {{Oldenburg}},
pages = {{227 -- 230}},
publisher = {{ ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)}},
title = {{{Analyzing the Benefits of Integrative Multi-Dimensional Assessments of Usability Features in Interaction-Centered User Studies}}},
doi = {{10.4108/icst.pervasivehealth.2014.255142#d73284787e1}},
year = {{2014}},
}
@inbook{10068,
abstract = {{Currently, cities are confronting a multitude of challenges including climate change, demographic change, urbanization and land subsidence. Resulting flooding, droughts and other disturbances could lead to water shortages, severe interruptions, hydraulic problems or underutilization of water infrastructure systems. One way that cities can become more resilient is by diversifying their water resources and reducing their dependency on central water infrastructures. Water infrastructure systems consisting of decentral or semi-central partial systems would be more resilient because a failure in these systems would only affect a small part of the urban area. Instead of an incremental improvement of the water infrastructure, there is a need for system innovations that will allow an adaptive development to changing conditions and which will ensure that future sustainability challenges are met. However, moving towards more resilient water technologies is seen as controversial for built-up areas. To answer the question if a transformation to a more resilient water infrastructure in built-up areas is feasible (technically and economically), a balancing and assessment of the corresponding effects have been done by way of comparing a “transformation” scenario with a reference scenario “business as usual”. If one takes a long-term period of observation (70 years), the costs balance of the scenarios “reference” and “transformation” both turn out to be on a comparative level. By contrast, the consumption of environmental resources in the scenario “transformation” is almost twice as low as in the “reference”.}},
author = {{Schramm, Engelbert and Felmeden, Jörg}},
booktitle = {{Resilient Cities 2 : Cities and Adaptation to Climate Change – Proceedings of the Global Forum 2011 }},
editor = {{Zimmermann, Karl Otto}},
isbn = {{978-94-007-9776-5}},
issn = {{2211-2790 }},
keywords = {{Climate change, Eco-efficiency analysis, System innovations, Vulnerability, Water infrastructure}},
location = {{Bonn}},
pages = {{177–186}},
publisher = {{Springer Dordrecht}},
title = {{{Towards More Resilient Water Infrastructures}}},
doi = {{https://doi.org/10.1007/978-94-007-4223-9_19}},
volume = {{2}},
year = {{2012}},
}
@inproceedings{2068,
abstract = {{The production of printing goods is laborious. Furthermore, the print quality, especially in banknotes, must be assured. It is accepted, that print defects are generated because printing parameters, also machine parameters can change unnoticed. Therefore, a combined concept for a multi-sensory learning and classification model based on new adaptive fuzzy-pattern-classifiers for data inspection is proposed. This inspection concept, which combines optical, acoustical and other machine information, comes up with a large amount of data, which leads to multivariate methods for data analysis. Multivariate methods are useful for analysis of large and complex data sets that consist of many variables measured on large numbers of physical data.}},
author = {{Dyck, Walter and Türke, Thomas and Schaede, Johannes and Lohweg, Volker}},
isbn = {{978-1-4244-1565-6}},
issn = {{1551-2541 }},
keywords = {{Sensor fusion, Inspection, Optical sensors, Printing machinery, Data security, Data analysis, Production, Degradation, Principal component analysis, Karhunen-Loeve transforms}},
pages = {{accepted for publication}},
publisher = {{MLSP 2007 - International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING}},
title = {{{A Fuzzy-Pattern-Classifier-Based Adaptive Learning Model for Sensor Fusion}}},
doi = {{10.1109/MLSP.2007.4414320}},
year = {{2007}},
}
@inproceedings{2058,
abstract = {{Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper we present a hardware accelerated image processing and classification scheme for rotation and translation tolerant two-dimensional pattern recognition, which is based on one-dimensional nonlinear discrete circular transforms. However, the scheme is simple; it is stable and therefore well suited for industrial applications. An implementation on one field programmable gate array (FPGA) is proposed.}},
author = {{Henke, Tobias and Lohweg, Volker}},
booktitle = {{IEEE International Conference On Image Processing (ICIP), Proceedings}},
isbn = {{0-7803-9134-9}},
issn = {{2381-8549 }},
keywords = {{Pattern recognition, Field programmable gate arrays, Neural networks, Image processing, Discrete transforms, Signal processing, Image retrieval, Image recognition, Transient analysis, Fuzzy systems}},
pages = {{349 -- 352}},
publisher = {{IEEE}},
title = {{{A Simplified Scheme For Hardware-Based Pattern Recognition}}},
doi = {{ 10.1109/ICIP.2005.1529759}},
year = {{2005}},
}