@misc{13337, abstract = {{In manufacturing systems with a job shop organization, queues between workstations create an intermittent process flow, allowing workers to schedule tasks entering the queue based on their needs and preferences. The resulting scheduling autonomy of individual workers often leads to inefficiencies in the overall production process due to the loss of control. Companies are therefore increasingly using algorithmic scheduling systems to assign task sequences to workers, thereby drastically reducing their autonomy and negatively affecting their job performance and well-being. This paper extends the existing flexible job shop scheduling problem by sequencing preferences (FJSPSP) to incorporate a human-centered perspective by predicting workers’ task sequencing decisions using learning-to-rank (LTR) methods. By learning workers’ individual task sequencing preferences, it becomes possible to predict the processing sequence based on task characteristics. The scheduling algorithm for the FJSPSP presented in the paper incorporates workers’ learned sequencing preferences as constraints. Considering workers’ learned task sequencing decisions, the FJSPSP optimizes only task assignments to maintain workers’ autonomy over task sequences. The contributions of this paper are fourfold, namely, (1) presenting an approach to elicit sequencing decision datasets from workers, (2) demonstrating the successful prediction of humans’ and an actual worker’s task sequencing decisions with LTR, (3) formulating the FJSPSP variant that integrates workers’ sequencing preferences as constraints and proving its effectiveness in a simulation study, and (4) consolidating these steps into an explainable artificial intelligence (XAI)- and LTR-enabled sociotechnical system design framework. The paper closes with a discussion of the overall methodology and future research perspectives.}}, author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Srirajan, Tharsika Pakeerathan and Nitsch, Verena}}, booktitle = {{Journal of Manufacturing Systems}}, issn = {{0278-6125}}, keywords = {{Human-centered scheduling, Job autonomy, Learning-to-rank, Flexible job shop scheduling, Human decision-making, Explainable artificial intelligence}}, number = {{2}}, pages = {{541--560}}, publisher = {{Elsevier BV}}, title = {{{Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance}}}, doi = {{10.1016/j.jmsy.2025.12.020}}, volume = {{84}}, year = {{2026}}, } @misc{13880, abstract = {{Objective Epidemiological evidence on muscle dysmorphia (MD) remains limited, and self-report algorithm-defined estimates may depend on sampling and case definitions. We examined how algorithm-defined MD estimates and exploratory correlates varied across weighting and case-definition scenarios in a gender-balanced German online sample. Method In this cross-sectional web-based study, 1468 adults from Germany completed self-report measures: 739 (50.3%) men, 706 (48.1%) women, 21 (1.4%) nonbinary/diverse participants, and 2 (0.1%) who preferred not to disclose their gender. Algorithm-defined MD was estimated using a self-report algorithm derived from prior epidemiological work. Estimates were compared across four scenarios combining unweighted versus age- and gender-weighted analyses with global versus gender-specific criterion A cutoffs. Logistic regression models examined correlates across weighted and unweighted analytic specifications. Results Algorithm-defined estimates varied substantially across operationalizations. The unweighted global algorithm yielded an estimate of 6.2% overall and 11.0% in men. The weighted gender-specific scenario yielded 2.6% overall, 3.5% in men, and 1.7% in women. Across regression specifications, lower BMI and higher identity disturbance were the most consistent correlates of algorithm-defined MD. Female gender showed lower odds in pooled models, particularly under the global cutoff, but this finding should be interpreted cautiously. Discussion Self-report algorithm-defined MD may affect a meaningful minority of adults, but estimates depend strongly on weighting strategy and case definition. These findings highlight the need for transparent reporting of algorithmic operationalizations. }}, author = {{Zaiser, Christopher and Laskowski, Nora M. and Halbeisen, Georg and Lieb, Marietta and Paslakis, Georgios}}, booktitle = {{International Journal of Eating Disorders}}, issn = {{1098-108X}}, keywords = {{body image, case definition, eating disorders, epidemiology, gender differences, muscle dysmorphia, online sample, prevalence, psychometrics, weighting}}, publisher = {{Wiley}}, title = {{{Algorithm‐Defined Muscle Dysmorphia Estimates Across Weighting and Case‐Definition Strategies in a Gender‐Balanced Adult Online Sample}}}, doi = {{10.1002/eat.70170}}, year = {{2026}}, } @misc{14070, abstract = {{Deploying digital twins across the broader building stock is constrained by a key bottleneck: high-quality 3D content from LiDAR or photogrammetry remains labor-intensive and difficult to scale. We introduce Generative Twins (GT), a workflow that shifts digital twin creation from explicit geometric reconstruction toward probabilistic 3D synthesis. The pipeline takes a single street-level façade photograph, corrects perspective distortion and removes occlusions, uses an instruction-conditioned multimodal image model to synthesise an isometric view of the building, and passes that view to an image-to-3D reconstruction model that leverages learned shape priors to produce a textured mesh without manual modelling. Three image to-3D platforms (Hitem3D, Hyper3D and Hunyuan3D 3.1) are compared on identical isometric inputs and assessed on architectural boundary clarity. We demonstrate GT through two applied cases: (i) reconstruction of ordinary residential streets in Detmold as stimuli for a virtual-reality study of multi sensory urban perception, and (ii) Green Editor, a design-exploration tool in which façade greenery is added or removed at the image layer before mesh generation. Together these cases position Generative Twins as a scalable pathway for the digitization of ordinary building stock, with emphasis on controllability, editability, and iterative design workflows.}}, author = {{Ashmawy, Mohamed Khaled and Akay, Buse and Balderrama, Alvaro}}, booktitle = {{eCAADe proceedings}}, issn = {{2684-1843}}, keywords = {{Digital Twins, Virtual Reality (VR, Artificial Intelligence (AI), Image-to-3D, Generative Design.}}, location = {{Lübeck}}, publisher = {{eCAADe}}, title = {{{Towards Generative Twins: An AI Based Pipeline from Explicit 3D Reconstruction to Probabilistic Synthesis}}}, doi = {{10.52842/conf.ecaade.2026.1.619}}, volume = {{1}}, year = {{2026}}, } @misc{12445, author = {{Behrens, Colin}}, keywords = {{Gaussian, Splatting, Computergraphics, Scanning, 3D, NeRF, Datensätze}}, pages = {{69}}, publisher = {{Technische Hochschule Ostwestfalen-Lippe}}, title = {{{Splatman : Automatisierte Erstellung von optimierten Datensets aus digitalen Szenen für Gaussian Splatting}}}, year = {{2025}}, } @misc{12646, abstract = {{Die präzise und kosteneffiziente 3D-Rekonstruktion industrieller Umgebungen gewinnt zu-nehmend an Bedeutung, insbesondere für digitale Zwillinge und automatisierte Inspektions-prozesse. Diese Arbeit untersucht die Entwicklung und Evaluierung eines multisensorischen Kamera-Setups, das mit Gaussian Splatting eine speichereffiziente und schnelle Modellierung von Produktionsumgebungen ermöglicht. Dafür wurde ein mobiles, autonomes System auf Basis eines MiR-Roboters entwickelt, das Bilddaten von verschiedenen USB-Kameras (Lo-gitech Brio, Anker C200), einer DSLR und iPhone Kamera sowie Raspberry Pi Kameras er-fasst und verarbeitet. Die zentrale Forschungsfrage adressiert die Effizienz, Bildqualität und Wirtschaftlichkeit von Gaussian Splatting im Vergleich zu etablierten Verfahren wie Photogrammetrie und LiDAR. Erste Testläufe mit DSLR-Aufnahmen und einer manuell rekonstruierten Pipeline zeigen, dass Gaussian Splatting hochdetaillierte Punktwolken generieren kann, jedoch mit Herausfor-derungen hinsichtlich Kameraausrichtung, Überlappung der Bilder und automatisierter Missi-onsplanung des Roboters konfrontiert ist. Die Ergebnisse zeigen, dass das System eine schnelle und speichereffiziente 3D-Rekonstruk-tion ermöglicht, jedoch in seiner aktuellen Form noch Optimierungspotenzial aufweist. Be-sonders die genaue Kalibrierung der Kameras, eine verbesserte Synchronisation der Bilder so-wie eine präzisere Steuerung des Roboters sind entscheidend für die Qualität der Punktwol-ken. Während Gaussian Splatting eine überzeugende Alternative zu klassischen Verfahren darstellt, ist die Systemstabilität derzeit noch abhängig von manuellen Eingriffen und Justie-rungen. Zukünftige Arbeiten sollten sich darauf konzentrieren, die Automatisierung des gesamten Workflows weiter voranzutreiben, insbesondere durch den Einsatz verbesserter Kamera-A-lignment-Algorithmen, Hardware-Trigger für synchrone Bildaufnahme und Machine-Learn-ing-gestützte Bildoptimierung. Zudem könnte eine Erweiterung des Systems um zusätzliche Sensortechnologien wie Time-of-Flight-Sensoren oder LiDAR-Module helfen, die Detailge-nauigkeit weiter zu verbessern und eine robuste Echtzeit-Rekonstruktion zu ermöglichen. }}, author = {{Wiemann, Sam}}, keywords = {{3D-Rekonstruktion, Gaussian Splatting, Photogrammetrie, LiDAR, autonome Robotik, digitale Zwillinge, Industrie 4.0}}, publisher = {{Technische Hochschule Ostwestfalen-Lippe}}, title = {{{Entwicklung und Evaluierung eines multisensorischen Kamera-Setups zur 3D-Raumrekonstruktion in einer dynamischen Industrieumgebung mittels Gaussian Splatting auf einem autonomen Robotersystem}}}, year = {{2025}}, } @misc{13349, abstract = {{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.}}, author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Burgert, Florens and Nitsch, Verena}}, booktitle = {{Procedia Computer Science}}, issn = {{1877-0509}}, keywords = {{Task Sequencing, Manufacturing, Learning To Rank, Scheduling Human Factors, Case Study}}, pages = {{1820--1829}}, publisher = {{Elsevier BV}}, title = {{{Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer}}}, doi = {{10.1016/j.procs.2025.01.244}}, volume = {{253}}, year = {{2025}}, } @misc{13350, abstract = {{In einer humanzentrierten Kleinserien- und Einzelfertigung mit Werkstattorganisation verfügen Fertigungsmitarbeitende häufig über eine hohe Autonomie und Entscheidungsfreiheit. Das Zusammenspiel individueller Planungsstrategien von Mitarbeitenden innerhalb eines Fertigungsprozesses kann sich positiv als auch negativ auf das Erreichen der produktionslogistischen Zielgrößen auswirken. In diesem Beitrag wird eine Variante des Flexible Job Shop Scheduling Problems vorgestellt, welches das Entscheidungsverhalten autonomer Arbeitspersonen bezüglich der Bearbeitungsreihenfolgebildung berücksichtigt. Weiterhin wird die Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen durch die Analyse individueller Planungsstrategien von Arbeitspersonen mittels Methoden der erklärbaren künstlichen Intelligenz demonstriert. Betrachtungsgegenstand der Analyse ist die Entscheidung von Arbeitspersonen, in welcher Reihenfolge sie ihre täglichen Aufgaben abarbeiten. Der Beitrag schließt mit einer Diskussion über die Nutzung der vorgestellten Verfahren zur Ableitung von arbeitsorganisatorischen Gestaltungsempfehlungen.}}, author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Nitsch, Verena}}, booktitle = {{Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit}}, keywords = {{Flexible Job Shop Scheduling, Learning To Rank, Erklärbare Künstliche Intelligenz, Planungsautonomie, Simulation}}, location = {{Aachen}}, pages = {{415--420}}, publisher = {{GfA-Press}}, title = {{{Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen}}}, doi = {{10.61063/FK2025}}, year = {{2025}}, } @misc{13651, abstract = {{Microbial food safety is the master key for reducing illness caused by the consumption of foodstuffs. This demonstration therefore aims to use non-pathogenic surrogates to draw conclusions whether vegan ready-to-eat model food serves as a base for growth of pathogenic Escherichia coli and Listeria monocytogenes in vegan ready-to-eat meat substitute in case of a potential contamination, causing a reduction of food safety. Packages of ready-to-eat vegan meat substitutes were inoculated with certain level of non-pathogenic L. innocua and E. coli and incubated at varying environmental conditions before they were examined for changes in the physico-chemical properties. The observed ability of the microbes to grow in the snacks may cause a reduction in food safety. This demonstration shows that these ready-to-eat-snacks may cause a reduction in food safety if the product studied is contaminated.}}, author = {{Müller, Carolin and Alarinta, Jarmo and Frahm, Björn and Wirtanen, Gun}}, booktitle = {{SeAMK Journal}}, issn = {{2984-1917}}, keywords = {{Vegan food, Ready-to-eat food, RTE, Listeria innocua, Escherichia coli, food safety, microbial spoilage, shelf life study}}, number = {{1}}, publisher = {{SeAMK}}, title = {{{Demonstration of Listeria innocua and Escherichia coli growth in ready-to-eat vegan foods}}}, volume = {{2}}, year = {{2025}}, } @misc{12212, abstract = {{Water quality and hypoxia in lakes and reservoirs are strongly associated with water renewal. Yet vertical water exchange is still not fully understood and challenging to evaluate in highly dynamic systems. Here, we applied a scaling approach using the vertical timescale, vertical water age (VWA), defined as time since a water parcel last touched the water surface. We established a 3D hydrodynamic-based age model to quantify the vertical water renewal in Xiangxi Bay, a tributary bay of the Three Gorges Dam. The integrated effects of hydrodynamic processes like stratification, intruding density currents from the mainstream, and upstream inflow on the vertical renewal were accounted for. Results indicated that the spatial–temporal distribution of VWA in Xiangxi Bay depended on stratification and forms of intruding density currents. Age was large in spring and summer, and small in autumn and winter, reaching a maximum of 25 days in April. The vertical water renewal was faster during bottom intrusions from the mainstream than during middle and surface intrusions. At times, the epilimnion contained old water due to circulations, and the hypolimnion contained young water due to upstream flushing. In contrast to natural lakes, the bottom water was often younger than overlying intermediate waters. This demonstrated that mixed layer depth was insufficient to fully capture the vertical exchange in riverine systems with significant surface/bottom intrusion. The findings suggested VWA as a quantitative measure of vertical water transport in highly dynamic systems and its usability for environmental water management.}}, author = {{Gai, Bo and Boehrer, Bertram and Sun, Jian and Li, Yuanyi and Lin, Binliang and Shatwell, Tom}}, booktitle = {{Journal of Hydrology}}, issn = {{1879-2707}}, keywords = {{Vertical water renewal, Water age, Thermal stratification, Hypoxia, 3D hydrodynamic-based age model, Water environmental management}}, number = {{3}}, publisher = {{Elsevier BV}}, title = {{{Vertical water age and water renewal in a large riverine reservoir}}}, doi = {{10.1016/j.jhydrol.2024.130701}}, volume = {{631}}, year = {{2024}}, } @misc{12816, abstract = {{Medical images need annotations with high-level semantic descriptors, so that domain experts can search for the desired dataset among an enormous volume of visual media within a Medical Data Integration Center. This article introduces a processing pipeline for storing and annotating DICOM and PNG imaging data by applying Elasticsearch, S3 and Deep Learning technologies. The proposed method processes both DICOM and PNG images to generate annotations. These image annotations are indexed in Elasticsearch with the corresponding raw data paths, where they can be retrieved and analyzed.}}, author = {{Cheng, Ka Yung and Pazmino, Santiago and Bergh, Bjoern and Lange-Hegermann, Markus and Schreiweis, Bjorn}}, booktitle = {{19th World Congress on Medical and Health Informatics (MEDINFO)}}, isbn = {{978-1-64368-456-7}}, issn = {{1879-8365}}, keywords = {{Medical image retrieval, data lake, DICOM, deep learning, elasticsearch}}, location = {{Sydney, AUSTRALIA}}, pages = {{1388--1389}}, publisher = {{IOS Press, Incorporated}}, title = {{{An Image Retrieval Pipeline in a Medical Data Integration Center.}}}, doi = {{10.3233/SHTI231208}}, volume = {{310}}, year = {{2024}}, } @misc{12822, abstract = {{A medical data integration center integrates a large volume of medical images from clinical departments, including X-rays, CT scans, and MRI scans. Ideally, all images should be indexed appropriately with standard clinical terms. However, some images have incorrect or missing annotations, which creates challenges in searching and integrating data centrally. To address this issue, accurate and meaningful descriptors are needed for indexing fields, enabling users to efficiently search for desired images and integrate them with international standards. This paper aims to provide concise annotation for missing or incorrectly indexed fields, incorporating essential instance -level information such as radiology modalities (e.g., X-rays), anatomical regions (e.g., chest), and body orientations (e.g., lateral) using a Deep Learning classification model - ResNet50. To demonstrate the capabilities of our algorithm in generating annotations for indexing fields, we conducted three experiments using two opensource datasets, the ROCO dataset, and the IRMA dataset, along with a custom dataset featuring SNOMED CT labels. While the outcomes of these experiments are satisfactory (Precision of >75%) for less critical tasks and serve as a valuable testing ground for image retrieval, they also underscore the need for further exploration of potential challenges. This essay elaborates on the identified issues and presents well-founded recommendations for refining and advancing our proposed approach.}}, author = {{Cheng, Ka Yung and Lange-Hegermann, Markus and Hövener, Jan-Bernd and Schreiweis, Björn}}, booktitle = {{Computational and Structural Biotechnology Journal}}, issn = {{2001-0370}}, keywords = {{DICOM images, Medical image captioning, Medical image interchange, SNOMED CT body structure}}, pages = {{434--450}}, publisher = {{Elsevier BV}}, title = {{{Instance-level medical image classification for text-based retrieval in a medical data integration center}}}, doi = {{10.1016/j.csbj.2024.06.006}}, volume = {{24}}, year = {{2024}}, } @misc{10985, abstract = {{This thesis examines the impacts of scene and rendering optimizations techniques aimed for GPU rendering within the realm of animated scene for offline rendering. Focusing on the unique challenges posed by dynamic animations, the research explores how these rendering approaches impact rendering speed, memory efficiency, and the attainment of lifelike visual quality. Using Octane render as ground for analysis, this study aims to uncover how scene optimizations intersect with the demands of animated content. Through meticulous comparison, this thesis endeavours to provide insights that empower rendering practitioners and animators to go through optimization strategies, bridging the gap between efficient resource allocation and the pursuit of captivating visual.}}, author = {{De Melo Bernardino, Lucas}}, keywords = {{GPU Rendering, Scene Optimization, 3D Rendering, Cinema 4D, Octane Render}}, pages = {{55}}, publisher = {{Technischen Hochschule Ostwestfahlen-Lippe}}, title = {{{Enhancing GPU Rendering Efficiency through Scene Optimizations: A Case Study using Octane for Cinema 4D}}}, year = {{2024}}, } @misc{11113, abstract = {{When oil palm lumber is considered for load-bearing products such as glued laminated timber (GLT), defined strength and stiffness values are required. In this investigation, combined GLT from oil palm wood is tested in compression parallel and perpendicular and glulam lamellas in tension parallel to the vascular bundles. Strength and Young´s modulus in compression and tension parallel increase with the density by power law relationship. In contrast to dicotyle­dons, the strength in construction size exceeds that of small, defect-free test specimens (compression strength perpendicular), are in the same range (tensile and bending strength parallel) or only a little below (compression strength parallel). The specimen size does not influence the strength. The ratio of fc,0 : fm : ft,0 is 1.2 : 0.8 … 1.7 … 2.6 : 1 and fc,0 : fc,90 = 2.7 … 13.0 … 32.6 : 1 for ρ = 200 … 400 … 600 kg/m³; the ratio of Ec,0 : Em : Et,0 is 1.2 : 1.3 : 1 for ρ = 400 kg/m³. Ashby´s performance indices for minimum weight design rise with the density; the strength-density performance indices are comparable or only slightly lower than that for structural size softwood, whereas the modulus-density performance indices are much lower. The challenge in use of oil palm wood for load-bearing construction products is the low stiffness.}}, author = {{Frühwald-König, Katja and Heister, Lena}}, booktitle = {{Wood material science and engineering}}, issn = {{1748-0280}}, keywords = {{Oil palm wood, compression, tension, strength, young’s modulus, digital image correlation, glued laminated timber}}, number = {{5}}, pages = {{1101--1116}}, publisher = {{Taylor & Francis}}, title = {{{Compression properties of glued laminated timber and tensile properties of gluelam lamellas from oil palm wood}}}, doi = {{10.1080/17480272.2024.2303627}}, volume = {{19}}, year = {{2024}}, } @misc{11997, abstract = {{In Germany, individuals unable or not yet able to return to the general labor market due to disabilities are employed in sheltered workshops which are called WfbM (“Werkstätten für behinderte Menschen”). These organizations are required to earn the wages for the aforementioned group of people by offering market services. These services include, in particular, assembly activities. However, WfbM face the challenge that customer orders tend to become more complex, especially as a result of an increased number of product variants. This development not only has an impact on the work in WfbM, but also makes it much more difficult to achieve the desired inclusion of people with disabilities in the general labor market. Bearing this in mind, the research question addressed in this article can be stated as such: How far can the use of an informational assistance system compensate for performance deficits of people with disabilities in the context of assembly? The results of the conducted laboratory study show that the implementation of an assistance system can help to reduce existing barriers and challenges resulting from the mismatch between requirements of the general labor market and the performance characteristics of people with cognitive impairments. Practical Relevance: For people with disabilities, the use of assistance systems opens up new opportunities for participation in the general labor market and thus makes an important contribution to implementing the requirements of the “Bundesteilhabegesetz” (a law to strengthen participation of people with disabilities in Germany).}}, author = {{Bendzioch, Sven and Hinrichsen, Sven}}, booktitle = {{Zeitschrift für Arbeitswissenschaft (ZfA)}}, issn = {{2366-4681}}, keywords = {{Informational Assistance System, People with Disabilities, Manual Assembly, Image Processing System, Laboratory Study}}, number = {{2}}, pages = {{240--253}}, publisher = {{Springer-Verlag GmbH }}, title = {{{Potentials of an informational assembly assistance system for persons with cognitive disabilities — Results of a laboratory study}}}, doi = {{10.1007/s41449-024-00414-9}}, volume = {{78}}, 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{13576, abstract = {{Background Many young women are dissatisfied with their bodies. This study investigated the effect on current body dissatisfaction levels of a newly developed evaluative conditioning procedure that paired self-similar and self-dissimilar images of bodies with positive and neutral affective images, respectively. We hypothesized that learning the contingency that self-similar bodies predict positive affectivity is one process that could aid in explaining how these procedures function. Methods Adult women without disordered eating pathology participated in an online experiment with random assignment to an intervention or a control condition. All participants initially rated body images in self-similarity and were subsequently asked to categorize positive and neutral images by valence as quickly and accurately as possible. In the intervention condition, self-similar bodies systematically preceded positive images, and self-dissimilar images preceded neutral images, creating a similar body → positive contingency. Pairings in the control condition were unsystematic such that no contingency was present. We measured categorization latencies and accuracies to infer contingency learning as well as current body dissatisfaction immediately before and after exposure to the pairings. All participants further completed measures of trait body image concerns and disordered eating psychopathology at baseline, which we examined as moderators of an expected relation between condition assignment, contingency learning, and body dissatisfaction improvements. Results We analyzed data from N = 173 women fulfilling the inclusion criteria. Moderated mediation analyses showed that assignment to the intervention (vs. control) condition predicted increased similar body → positive contingency learning, which in turn predicted improved body dissatisfaction post-intervention, but only among women with higher pre-existing trait body image concerns or disordered eating levels. Conclusions The findings point toward the relevancy of further exploring the utility of pairing procedures. Similar body → positive contingency learning predicted improved body dissatisfaction in individuals with normatively high body image concerns, which suggests pairing procedures could help inform future research on reducing body dissatisfaction.}}, author = {{Dumstorf, Katharina and Halbeisen, Georg and Paslakis, Georgios}}, booktitle = {{Journal of Eating Disorders}}, issn = {{2050-2974}}, keywords = {{Evaluative conditioning, Body image, Eating disorders, Contingency learning, Psychotherapy, Pairing procedures}}, number = {{1}}, publisher = {{BioMed Central}}, title = {{{How evaluative pairings improve body dissatisfaction in adult women: evidence from a randomized-controlled online study}}}, doi = {{10.1186/s40337-024-00975-4}}, volume = {{12}}, year = {{2024}}, } @misc{13616, abstract = {{Objective Body dissatisfaction is an important risk factor for developing eating disorders. This study investigated whether pairing images of normatively “healthy” weight bodies of women with positive stimuli, and images of bodies outside the healthy range (e.g., underweight) with neutral stimuli, could improve body dissatisfaction. Methods We compared behavioral and rating data from 121 adult women who participated in an online study and were randomly assigned to an intervention condition (in which healthy body mass predicted positive stimuli) or a control condition (with no contingency between body mass and stimulus valence). Results Behavioral data showed that women in the intervention condition, compared to the control condition, learned to associate healthy bodies with positive valence. Having learned to associate healthy bodies with positive valence, in turn, predicted reductions in body dissatisfaction. The intervention and control conditions were not directly associated with changes in body dissatisfaction. Conclusion Learning to associate healthy bodies with any positive stimuli could be a relevant mechanism for understanding and predicting improvements in women's body dissatisfaction. Further research is required regarding the impact of contingency learning on the evaluation of other bodies, and the selection of other bodies for body-related social comparison processes.}}, author = {{Tullius, Elena M. and Halbeisen, Georg and Paslakis, Georgios}}, booktitle = {{Journal of Psychiatric Research}}, issn = {{1879-1379 }}, keywords = {{Evaluative conditioning, Body image, Eating disorders, Contingency learning, Psychotherapy}}, pages = {{340--348}}, publisher = {{Elsevier BV}}, title = {{{Can evaluative pairings of others’ bodies improve body dissatisfaction indirectly? A randomized-controlled online study with adult women}}}, doi = {{10.1016/j.jpsychires.2024.11.012}}, volume = {{180}}, year = {{2024}}, } @misc{13824, abstract = {{This dataset provides synthetic training data for the real-world industrial application of terminal strip object detection to investigate the sim-to-real generalization performance of modern object detectors based on state-of-the-art image synthesis methods. It consists of 30.000 randomly generated synthetic images of terminal strips covering 36 different terminal blocks in five colors and additional accessories such as plug-in bridges, test adapters, end covers and markings. Except from the markings and the DIN rail all objects of the terminal strips are labeled with a bounding box and the respective object class for supervised learning. Additionally, 300 real images of terminal strips were taken and manually labeled for the real-world test. If you use this datset for your research, please consider citing this: Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip Object Detection }}, author = {{Baumgart, Nico and Lange-Hegermann, Markus and Mücke, Mike}}, keywords = {{Object Detection, Image Synthesis, Domain Randomization, Domain Gap, Terminal Strip}}, publisher = {{Zenodo}}, title = {{{Synthetic Training Dataset for Real-World Terminal Strip Object Detection}}}, doi = {{10.5281/ZENODO.16080102}}, year = {{2024}}, } @misc{10783, abstract = {{The development trend in manual assembly towards increasing demands in terms of quality, variety, and cost pressure makes the transition for people with cognitive disabilities to the general labor market extremely difficult. Nevertheless, this employment sector is a central component of many activities in a sheltered workshop. Therefore, this paper investigates the use of an informational assistance system for persons with cognitive impairments to close the gap between the characteristics of this group and the operational requirements. In this way, the transition from the sheltered workshop to the general labor market will be facilitated and promoted.}}, author = {{Bendzioch, Sven and Hinrichsen, Sven}}, booktitle = {{Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications}}, issn = {{2771-0718}}, keywords = {{Manual Assembly, Informational Assistance System, Image Processing System, People with Disabilities}}, location = {{NIzza}}, pages = {{548--556}}, publisher = {{AHFE International}}, title = {{{Informational Assistance System – a Key to Self-Empowerment of Persons with Cognitive Disabilities in Manual Assembly?}}}, doi = {{10.54941/ahfe1004061}}, volume = {{11}}, year = {{2023}}, } @misc{13583, abstract = {{Organ transplantation is associated with significant physical and psychological burden for the recipients. Qualitative reports indicate that organ recipients develop donor and donation images (DDI)—conceptions of the donor and/or the organ. A deeper understanding of DDI is needed in the care of transplant recipients. To present the current state of knowledge, we searched for and identified DDI-related publications in PubMed and Scopus. Inclusion criteria were (1) studies addressing transplant recipients, and (2) English or German language. Twenty-one studies of individuals with transplanted hearts, lungs, or kidneys were included in this scoping review. Prevalence for DDI ranged from 6% to 52.3%. DDI occurs both before and after transplantation and includes ideas about the donor as well as whether and how the recipient’s personality may be altered by the transplanted organ. Some transplant recipients did indeed report personality changes following transplantation due to the adoption of assumed donor characteristics. One study showed a positive association between the presence of DDI and anxiety scores and one described a coping effect. DDI is understudied and should be systematically assessed to improve care for the vulnerable group of individuals undergoing organ transplantation. Current research gaps and future directions are discussed.}}, author = {{Laskowski, Nora M. and Brandt, Gerrit and Tigges-Limmer, Katharina and Halbeisen, Georg and Paslakis, Georgios}}, booktitle = {{Journal of Clinical Medicine}}, issn = {{2077-0383}}, keywords = {{donor image, donation image, organ integration, organ transplantation, heart transplantation, lung transplantation, kidney transplantation, DDI, psychocardiology, scoping review}}, number = {{3}}, publisher = {{MDPI}}, title = {{{Donor and Donation Images (DDI)-A Scoping Review of What We Know and What We Don't}}}, doi = {{10.3390/jcm12030952}}, volume = {{12}}, year = {{2023}}, } @inbook{13786, abstract = {{Due to the superior job performing abilities and increasing computational capabilities, collaborating with artificial-intelligence-based services (AIBS or AI-based services) will be inevitable for employees in the service context. AI-based services in the form of virtual (e.g., chatbot) or physical (e.g., service robot) embodiments, which are characterized by a higher degree of autonomy and are intended to augment the tasks of human employees in a highly collaborative way, will increasingly become an integral part of employee’s work environment. Semi-structured interviews and a focus group discussion have been used to identify constructs driving employees’ perception of AI-based services and their impact on wellbeing. Combined with a thorough literature analysis, relations between the identified constructs have been derived from introducing a conceptual model of employees’ willingness to collaborate (WTC). This study identifies technology characteristics, job demands, resources, and control as constructs, directly influencing employees’ perceived risk of AI-based services.}}, author = {{Paluch, Stefanie and Wittkop, Thomas}}, booktitle = {{Artificial Intelligence in Customer Service : The Next Frontier for Personalized Engagement }}, editor = {{Sheth, Jagdish N. and Jain, Varsha and Mogaji, Emmanuel and Ambika, Anupama }}, isbn = {{978-3-031-33897-7}}, keywords = {{Artificial intelligence, AI-based services, Willingness to collaborate, Employees’ wellbeing}}, pages = {{281–302}}, publisher = {{Springer International Publishing AG}}, title = {{{Role of Risk on Employees’ Willingness to Collaborate with Artificial Intelligence and its Impact on Wellbeing}}}, doi = {{10.1007/978-3-031-33898-4_12}}, year = {{2023}}, } @misc{7670, abstract = {{Additive manufacturing (AM) and rapid prototyping process (RPP) have revolutionized the production of 3D objects in the last few decades. RPP has considerably increased the rate of production and the possibility of manufacturing prototypes in the fields of electrical, optical, and mechanical engineering. The manufacturing of optical prototypes including spherical, aspheric, and special kinds of lenses and lens arrays has reformed the fabrication of optical components. In this paper, specifically designed lens array prototypes for application in visible light communication (VLC) are introduced. These lens array prototypes are manufactured using the stereolithography apparatus (SLA) process. These lens arrays are designed to achieve optimal transmission of the light beam for VLC systems. One of the prototypes from the lens arrays contains primarily four spherical lenses and one thicker convex lens and the other contains one fresnel lens as a substitute for thicker convex lens. These lens arrays are further post-processed to achieve the required transparency. These lens array prototypes are tested using laser and LEDs. The ON-OFF keying modulated light beam was transmitted through the lens array at the sender side and focused on the photo-receiver using another lens array at the receiver side which is 200 cm apart. After evaluating these lens prototypes, it can be concluded that with appropriate post-processing and high-resolution stereolithography based manufacturing, a low data rate VLC link can be formed.}}, author = {{Shrotri, Abhijeet Narendra and Beyer, Micha and Schneider, Daniel Johann and Stübbe, Oliver}}, booktitle = {{Laser 3D Manufacturing VIII}}, editor = {{Helvajian, Henry and Gu, Bo and Chen, Hongqiang}}, isbn = {{978-1-5106-4189-1}}, issn = {{1996-756X}}, keywords = {{Additive manufacturing, 3D printing, Stereolithography apparatus, Spherical lenses, Fresnel lenses, Visible light communication}}, location = {{San Francisco }}, publisher = {{Society of Photo-Optical Instrumentation Engineers}}, title = {{{Manufacturing of lens array prototypes containing spherical and fresnel lenses for visible light communications using stereolithography apparatus}}}, doi = {{10.1117/12.2586907}}, volume = {{11677}}, year = {{2021}}, } @misc{7676, author = {{Shrotri, Abhijeet Narendra and Beyer, Micha and Stübbe, Oliver}}, booktitle = {{3D Printed Optics and Additive Photonic Manufacturing II : 6-10 April 2020, online only, France }}, editor = {{von Freymann, Georg and Herkommer, Alois M. and Flury, Manuel}}, isbn = {{978-1-5106-3470-1}}, issn = {{1996-756X}}, keywords = {{Fresnel lenses, Stereolithography apparatus, 3D printing, Photo-polymerization}}, location = {{Strasbourg (online)}}, publisher = {{SPIE}}, title = {{{Manufacturing and analyzing of cost-efficient fresnel lenses using stereolithography}}}, doi = {{10.1117/12.2555367}}, volume = {{11349}}, year = {{2020}}, } @misc{7679, author = {{Shrotri, Abhijeet Narendra and Beyer, Micha and Stübbe, Oliver}}, booktitle = {{ Production engineering and management : proceedings 9th international conference, October 03 and 04, 2019, Trieste, Italy}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-946856-04-7}}, keywords = {{3D printing, stereolithography, optical lens, light forming structures, convex lenses, concave lenses, refraction of light, focal length}}, location = {{Trieste}}, pages = {{227--240}}, publisher = {{Technische Hochschule Ostwestfalen-Lippe}}, title = {{{Evaluation of stereolithograghy processes for the production of lens prototypes}}}, volume = {{2019, 01}}, year = {{2019}}, } @article{1721, abstract = {{In this contribution, the effect of the presence of a presumed inert gas like N2 in the feed gas on the biological methanation of hydrogen and carbon dioxide with Methanothermobacter marburgensis was investigated. N2 can be found as a component besides CO2 in possible feed gases like mine gas, weak gas, or steel mill gas. To determine whether there is an effect on the biological methanation of CO2 and H2 from renewable sources or not, the process was investigated using feed gases containing CO2, H2, and N2 in different ratios, depending on the CO2 content. A possible effect can be a lowered conversion rate of CO2 and H2 to CH4. Feed gases containing up to 47N2 were investigated. The conversion of hydrogen and carbon dioxide was possible with a conversion rate of up to 91 but was limited by the amount of H2 when feeding a stoichiometric ratio of 4:1 and not by adding N2 to the feed gas.}}, author = {{Hoffarth, Marc Philippe and Broeker, Timo and Schneider, Jan}}, issn = {{2311-5637}}, journal = {{Fermentation}}, keywords = {{biological methanation, CSTR, Methanothermobacter marburgensis, methane, carbon dioxide, dinitrogen, hydrogen, power-to-gas}}, number = {{3}}, publisher = {{MDPI }}, title = {{{Effect of N2 on Biological Methanation in a Continuous Stirred-Tank Reactor with Methanothermobacter marburgensis}}}, doi = {{10.3390/fermentation5030056}}, volume = {{5}}, year = {{2019}}, } @inproceedings{1901, abstract = {{As customers’ options for configuring products to match their requirements increase, the number of assembly variants grows. Due to this large number of variants, assembly processes often cannot be automated in an economical way, and manual assembly remains highly important. Additional support options must be implemented to continue completing manual assembly processes reliably in the future. Image processing systems are one promising approach. The purpose of this paper is to establish the potential offered by industrial image processing in manual assembly, building on fundamental concepts, as well as to identify requirements and provide recommendations for selecting and arranging system components. }}, author = {{Nikolenko, Alexander and Hinrichsen, Sven}}, booktitle = {{Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing}}, editor = {{Ahram, T. and Karwowski, W. and Pickl, S. and Taiar, R.}}, isbn = {{978-3-030-27927-1}}, keywords = {{Industrial image processing, Manual assembly, Assistance systems, Machine vision}}, location = {{Universität der Bundeswehr, München}}, pages = {{795--800}}, publisher = {{Springer Nature}}, title = {{{Potential of Industrial Image Processing in Manual Assembly}}}, doi = {{https://doi.org/10.1007/978-3-030-27928-8_121}}, volume = {{1026}}, year = {{2019}}, } @misc{699, author = {{Warwitz, Maximilian}}, keywords = {{Game Design, 3D-Asset, Workflow, Videospiel, Computerspiel}}, pages = {{93}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Workflow zur Erstellung von 3D-Assets für Computer- und Videospiele}}}, year = {{2018}}, } @misc{705, author = {{Schrewe, Manuela}}, keywords = {{3D Modeling, Character Design, Concept Art, Spiel, Unreal Engine 4}}, pages = {{81}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \& Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4}}}, year = {{2018}}, } @misc{917, author = {{Liesen, Sonja}}, keywords = {{3D-Visualisierung, Marketingkonzept}}, pages = {{104}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Marketingkonzept und 3D-Visualisierung für Produktinnovationen am Beispiel eines multifunktionalen Taschensystems}}}, year = {{2018}}, } @misc{919, author = {{Finger, Marion}}, keywords = {{3D-Druck, CG Modelling, Computergrafik, Warenpräsentation}}, pages = {{64}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Die Wirtschaftlichkeit des 3D-Drucks im Bereich der Backwarenpräsentation}}}, year = {{2018}}, } @misc{1009, author = {{Beyer, Tabea}}, keywords = {{3d Animationsfilm, Wasseraufbereitung}}, pages = {{36}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Visualisierung chemischer Prozesse - Filmisch erklären 3D-Animationsfilm über das Verfahren der Wasseraufbereitung der Firma Fermanox}}}, year = {{2018}}, } @misc{796, author = {{Kelm, Jasper}}, keywords = {{2D-Tracking, 3D-Tracking, Integration, Kamera, Rekonstruktion}}, pages = {{89}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{3D-Tracking : Gegenüberstellung verschiedener Implementierungen in Labor- und Praxisanwendung}}}, year = {{2017}}, } @misc{798, author = {{Führer, Melina}}, keywords = {{3D}}, pages = {{51}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Methoden und Möglichkeiten fotorealistischer Visualisierung zur Produktpräsentation}}}, year = {{2017}}, } @misc{834, abstract = {{Erstellung von zwei Designansätzen (abstrakt und realistisch) bezüglich eines menschlichen Gesichtes als 3D-Grafik in Rücksichtnahme auf das "Uncanny Valley".}}, author = {{Hunter Blench, Leslie}}, keywords = {{Uncanny Valley, 3D, Digitales Kino, Effekte, Stereoskopischer Film}}, pages = {{36}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Uncanny Valley : Die Auswirkung von Abstraktion und Ikonizität hinsichtlich der Glaubwürdigkeit einer computergenerierten Person}}}, year = {{2017}}, } @inproceedings{2022, abstract = {{Nowadays, the boost of optical imaging technologies results in more data with a faster rate are being collected. Consequently, data and knowledge discovery science has become an attractive and a fast growing topic in several industry and research area. Motif discovery in image processing aims to tackle the problem of deriving structures or detecting regularities in image databases. Most of the motif discovery methods first convert images into time series and then attempt to find motifs in such data. This might lead to information loss and also the problem of inability to detect shifted and multi-scale image motifs of different size. Here, a method is proposed to find image motifs of different size in image datasets by applying images in original dimension without converting them to time series. Images are inspected by the Complex Quad Tree Wavelet Packet transform which provides broad frequency analysis of an image in various scales. Next, features are extracted from the wavelet coefficients. Finally, image motifs are detected by measuring the similarity of the features. The performance of the proposed method is demonstrated on a dataset with images from diverse applications, such as hand gesture, text recognition, leaf and plant identification, etc. }}, author = {{Deppe, Sahar and Lohweg, Volker}}, booktitle = {{PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications}}, editor = {{Leister, Wolfgang}}, issn = {{2308-3700}}, keywords = {{Motif discovery, Image processing, Wavelet transformation}}, location = {{Venice, Italy }}, pages = {{27--32}}, publisher = {{The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing}}, title = {{{Shift-Invariant Motif Discovery in Image Processing 'Best Paper Award'}}}, year = {{2017}}, } @inproceedings{585, abstract = {{Many low-cost 3D printers have been brought to market over the last couple of years. Most of them apply a Fused Layer Manufacturing (FLM) process, and have made 3D printing a great success amongst hobbyists, the maker community and students. One drawback of such inexpensive equipment is a limited build envelope, which prevents this from becoming a significant contributor to industrial production. To overcome these limits, it is not sufficient to simply upscale dimensions, but the overall concept of such machines must be completely re-thought, as well as the concepts behind several building blocks, components and the process software system. Problems such as shrinkage of build material, support material and machine parts in combination with long printer head travels, temperature distribution and moisture effects all have to be solved. In addition, larger parts need longer process times. Therefore, reduction of process times and an increase in productivity are necessary in order to enable economic production. Some of these problems can be solved by using more than one printer head for production, by using new materials and inventing new nozzle systems as distinct solutions for big printers. Nevertheless, to solve all these problems, the development of special machines for large parts is necessary: not component-wise but as a whole system. Large parts could then be successfully produced in several industries, using large, inexpensive FLMmachines. }}, author = {{Villmer, Franz-Josef and Witte, Lars}}, booktitle = {{Production Engineering and Management}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-941645-11-0}}, keywords = {{3D printing, FLM, build envelope, large-scale, thermoplastic polymers}}, location = {{Trieste, Italy}}, number = {{1}}, pages = {{111--122}}, title = {{{Large Scale 3D-Printers: The Challenge of Outgrowing Do-It-Yourself}}}, year = {{2015}}, } @inproceedings{599, abstract = {{Order picking has long been identified as the most labor costly and intensively activity in warehouse management. The orders from the customers need to be fulfilled tightly and timely. In order to keep the required high service level, the warehouse has to increase the picking productivity under the constraints of limited capacity. This paper concerns a man-togoods order picking system, in which the order pickers have to drive with a pallet jack to the storage locations. Considering that the orders are mostly small orders which consist of less lines, it is efficient to combine severalsingle customer orders into one picking order. Under this circumstance, this paper intends to answer the question of how customer orders should be grouped into picking orders with the aim of minimizing the total travel length through the warehouse. Consequently the productivity of the order picking system can be improved. An optimization problem for order batching is introduced. The optimization method of order batching is then proposed. Based on the simulation of different scenarios of incoming orders, it can be concluded that the developed method is effective in improving the productivity of the concerned order picking system. }}, author = {{Li, Li and Schulze, L.}}, booktitle = {{Production Engineering and Management}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-941645-11-0}}, keywords = {{Order picking, man-to-goods, order batching, picking productivity, genetic algorithm}}, location = {{Trieste, Italy}}, number = {{1}}, pages = {{319--326}}, title = {{{Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching}}}, year = {{2015}}, } @misc{1679, author = {{Gross, Xenia}}, keywords = {{3D, Charakterdesign, Modelling}}, pages = {{82}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{3D-KURZFILM „THE NIGHT OF SPIDERS AND FOOLS“ }}}, year = {{2015}}, } @misc{1685, author = {{Schäfer, Kristina}}, keywords = {{3D, 3ds Max, Modellierung, Modelling, Character}}, pages = {{162}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Die Entwicklung und Modellierung eines Characters in 3ds Max}}}, year = {{2015}}, } @misc{1691, author = {{Heine, Johannes}}, keywords = {{3D, Animation, Animationsprinzipien, Disney}}, pages = {{65}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Die 12 Animationsprinzipien von Disney: Entstehung und Bedeutung für heutige Animationsproduktionen}}}, year = {{2015}}, } @inproceedings{2128, abstract = {{We present the concept of a perceptive motor in terms of a cyber-physical system (CPS). A model application monitoring a knitting process was developed, where the take-off of the produced fabric is controlled by an electric motor. The idea is to equip a synchronous motor with a smart camera and appropriate image processing hard- and software components. Subsequently, the characteristics of knitted fabric are analysed by machine-learning (ML) methods. Our concept includes motor-current analysis and image processing. The aim is to implement an assistance system for the industrial large circular knitting process. An assistance system will help to shorten the retrofitting process. The concept is based on a low cost hardware approach for a smart camera, and stems from the recent development of image processing applications for mobile devices [1–4].}}, author = {{Vukovic, Kristijan and Simonis, Kristina and Dörksen, Helene and Lohweg, Volker}}, booktitle = {{Conference on Machine Learning for Cyber-Physical Systems (ML4CPS)}}, keywords = {{Assistance System, Euler Number, Synchronous Motor, Image Processing System, Image Processing Method}}, title = {{{Efficient Image Processing System for an Industrial Machine Learning Task}}}, doi = {{10.1007/978-3-662-48838-6_8}}, year = {{2015}}, } @inproceedings{2155, abstract = {{Today, mobile devices (smartphones, tablets, etc.) are widespread and of high importance for their users. Their performance as well as versatility increases over time. This leads to the opportunity to use such devices for more specific tasks like image processing in an industrial context. For the analysis of images requirements like image quality (blur, illumination, etc.) as well as a defined relative position of the object to be inspected are crucial. Since mobile devices are handheld and used in constantly changing environments the challenge is to fulfill these requirements. We present an approach to overcome the obstacles and stabilize the image capturing process such that image analysis becomes significantly improved on mobile devices. Therefore, image processing methods are combined with sensor fusion concepts. The approach consists of three main parts. First, pose estimation methods are used to guide a user moving the device to a defined position. Second, the sensors data and the pose information are combined for relative motion estimation. Finally, the image capturing process is automated. It is triggered depending on the alignment of the device and the object as well as the image quality that can be achieved under consideration of motion and environmental effects.}}, author = {{Henning, Kai-Fabian and Fritze, Alexander and Gillich, Eugen and Mönks, Uwe and Lohweg, Volker}}, booktitle = {{IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI}}, keywords = {{Image processing, Image acquisition, Mobile devices Sensors, Image fusion, Motion estimation, Cameras}}, pages = {{1--12}}, publisher = {{SPIE}}, title = {{{Stable Image Acquisition for Mobile Image Processing Applications}}}, doi = {{10.1117/12.2076146}}, year = {{2015}}, } @misc{1026, author = {{Ruthmann, Daniel}}, keywords = {{3D, Architekturvisualisierung, CG}}, pages = {{45}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Archipelago House }}}, year = {{2012}}, } @misc{1037, abstract = {{This master thesis focuses on the problems that can occur at 3D stereoscopic productions with a student budget. It provides the reader with the basic knowledge about the human eye. Further the human perception of 3D stereoscopic content is described. The reader will learn about the basic techniques and the technical appliances used in the production and the presentation of 3D stereoscopic movies. The special focus of this work is the comparison of a low budget student spot that was produced in stereoscopic 3D to other well known blockbuster movies regarding the subjects of ghosting/crosstalk, disparity and asynchronous frames. The reader will know how he or she can prepare a 3D life action shooting with a low budget avoiding these three failure sources.}}, author = {{Mompour, Marcel}}, keywords = {{3D stereoscopic, ghosting, crosstalk, bad synchronisation, disparity, low budget, Stereoskopischer Film, Synchronisierung}}, pages = {{63}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Comparison of 3D stereoscopic blockbuster movies with a 3D stereoscopic spot realised with a student budget regarding ghosting/crosstalk, bad disparity and asynchronous frames}}}, year = {{2012}}, } @misc{1045, abstract = {{In the context of the increasing use of new portable evices, the potential of binaural recording techniques is being reconsidered. This kind of recording technique simulates human hearing and provides a 3D recording space, bringing in new mixing possibilities. For this paper, a song has been produced using inaural recording techniques and tested on a group of average listeners. The results suggest great potential for this technique for music production due to the 3D space that it brings but also significant limitation for commercial broadcasting.}}, author = {{Seserman, Angela-Nicoleta}}, keywords = {{binaural recording, 3D sound, music production, Musikproduktion, Sound}}, pages = {{46}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Binaural recording techniques in a popular music production}}}, year = {{2012}}, } @misc{1117, abstract = {{In dem Kurzfilm HAPPYSAD geht es um einen namentlich unbekannten Hauptdarsteller. Optisch ist er im Alter zwischen 50 und 70 einzuordnen, allerdings spielt auch das Alter dabei keine Primäre Rolle. Der Character an sich erhält keine genauere Einführung und verstärkt damit den Eindruck der Austauschbarkeit und damit Anonymität. [...] Erdrückt von der Einsamkeit und der pausenlos verinnenden Zeit, gehen die Blicke immer wieder hektisch zum offen stehenden Fenster. Der Darsteller fasst den Entschluss [...], sich das Leben zu nehmen. Auf dem Fenstrebrett stehend zögert er kurz, springt dann aber in die Tiefe. Sichtlich benommen kommt er in einer für ihn unbekannten Welt wieder zu sich. [...]Doch überraschend schnell wird er wieder in die Realität zurück befördert und stellt fest, dass es sich bei all dem Erlebten (glücklicherweise) nur um einen Traum gehandelt hat.}}, author = {{Wiechmann, Jan}}, keywords = {{3D-Grafik-Software, Kurzfilm}}, pages = {{21}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Happy Sad : Ein animierter Kurzfilm}}}, year = {{2011}}, } @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}}, } @article{2056, 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 will present a hardware-accelerated image processing and classification system which is implemented on one field-programmable gate array (FPGA). Nonlinear discrete circular transforms generate a feature vector. The features are analyzed by a fuzzy classifier. This principle can be used for feature extraction, pattern recognition, and classification tasks. Implementation in radix-2 structures is possible, allowing fast calculations with a computational complexity of up to. Furthermore, the pattern separability properties of these transforms are better than those achieved with the well-known method based on the power spectrum of the Fourier Transform, or on several other transforms. Using different signal flow structures, the transforms can be adapted to different image and signal processing applications.}}, author = {{Lohweg, Volker and Diederichs, Carsten and Müller, Dietmar}}, issn = {{1110-8657 }}, journal = {{EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing }}, keywords = {{image processing, nonlinear circular transforms, feature extraction, fuzzy pattern recognition}}, number = {{1}}, pages = {{1912--1920}}, publisher = {{Hindawi Publ.}}, title = {{{Algorithms for Hardware-Based Pattern Recognition}}}, doi = {{https://doi.org/10.1155/S1110865704404247}}, volume = {{12}}, year = {{2004}}, }