@misc{12215, abstract = {{Water-level reduction frequently occurs in deep reservoirs, but its effect on dissolved oxygen concentration is not well understood. In this study we used a well-established water quality model to illustrate effects of water level dynamics on oxygen concentration in Rappbode Reservoir, Germany. We then systematically elucidated the potential of selective withdrawal to control hypoxia under changing water levels. Our results documented a gradual decrease of hypolimnetic oxygen concentration under decreasing water level, and hypoxia occurred when the initial level was lower than 410 m a.s.l (71 m relative to the reservoir bottom). We also suggested that changes of hypoxic region, under increasing hypolimnetic withdrawal discharge, followed a unimodal trajectory with the maximum hypoxic area projected under the discharge between 3 m3/sec and 4 m3/sec. Besides, our results illustrated the extent of hypoxia was most effectively inhibited if the withdrawal strategy was applied at the end of stratification with the outlet elevation at the deepest part of the reservoir. Moreover, hypoxia can be totally avoided under a hybrid elevation withdrawal strategy using surface withdrawal during early and mid stratification, and deep withdrawal at the end of stratification. We further confirmed the decisive role of thermal structure in the formation of hypoxia under water-level reduction and withdrawal strategies. We believe the conclusions from this study can be applied to many deep waters in the temperate zone, and the results should guide stakeholders to mitigate negative impacts of hypoxia on aquatic ecosystems.}}, author = {{Mi, Chenxi and Rinke, Karsten and Shatwell, Tom}}, booktitle = {{Journal of Environmental Sciences}}, issn = {{1878-7320}}, keywords = {{Hypoxia, Water-level reduction, Hypolimnetic water withdrawal, Stratification phenology, Water quality simulation, Sediment oxygen demand}}, number = {{12}}, pages = {{127--139}}, publisher = {{Elsevier BV}}, title = {{{Optimizing selective withdrawal strategies to mitigate hypoxia under water-level reduction in Germany's largest drinking water reservoir}}}, doi = {{10.1016/j.jes.2023.06.025}}, volume = {{146}}, year = {{2024}}, } @misc{12830, abstract = {{Exploring the influence of green space characteristics and proximity on health via air pollution mitigation, our study analysed data from 1,365 participants across Porto, Nantes, Sofia, and H & oslash;je-Taastrup. Utilizing OpenStreetMap and the AID-PRIGSHARE tool, we generated nine green space indicators around residential addresses at 15 distances, ranging from 100m to 1500m. We performed a mediation analysis for these 135 green space variables and revealed significant associations between self-rated air pollution and self-rated health for specific green space characteristics. In our study, indirect positive effects on health via air pollution were mainly associated with green corridors in intermediate Euclidean distances (800-1,000m) and the amount of accessible green spaces in larger network distances (1,400-1,500m). Our results suggest that the amount of connected green spaces measured in intermediate surroundings seems to be a prime green space characteristic that could drive the air pollution mitigation pathway to health.}}, author = {{Cardinali, Marcel and Beenackers, Mariëlle A. and Timmeren, Arjan van and Pottgiesser, Uta}}, booktitle = {{ Health & place : an international journal ; a social science & medicine publication}}, issn = {{1873-2054}}, keywords = {{Greenspace, Mitigation, Air quality, Public health, Structural equation modelling}}, publisher = {{Elsevier BV}}, title = {{{Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities}}}, doi = {{10.1016/j.healthplace.2024.103300}}, volume = {{89}}, year = {{2024}}, } @misc{12904, abstract = {{It is crucial to identify defective machine components in production to ensure quality. Some components generate heat when defective, so automating the inspection process with a thermal imaging camera can provide qualitative measurements. This work aims to use computer vision methods to locate these components in thermal images. Since there is currently no comparison of object detection and semantic segmentation algorithms for this use case, this study compares different architectures with the goal of localising these components for further defect inspection. Moreover, as there are currently no datasets for this use case, this study contributes a novel annotated dataset of thermal images of combine harvester components. The different algorithms are evaluated based on the quality of their predictions and their suitability for further defect inspection. As semantic segmentation and object detection cannot be directly compared with each other, custom weighted metrics are used. The architectures evaluated include RetinaNet, YOLOV8 Detector, DeepLabV3+, and SegFormer. Based on the experimental results, semantic segmentation outperforms object detection regarding the use case, and the SegFormer architecture achieves the best results with a weighted MeanIOU of 0.853. }}, author = {{Senke, Hanna and Sprute, Dennis and Büker, Ulrich and Flatt, Holger}}, booktitle = {{Forum Bildverarbeitung 2024 = Image Pocessing Forum 2024}}, editor = {{Längle, Thomas and Heizmann, Michael}}, isbn = {{978-3-7315-1386-5}}, keywords = {{industrial quality assurance, deep learning architectures, object localisation, Thermal images}}, location = {{Karlsruhe}}, pages = {{71--82}}, publisher = {{KIT Scientific Publishing}}, title = {{{Deep learning-based localisation of combine harvester components in thermal images}}}, doi = {{10.58895/ksp/1000174496-7}}, year = {{2024}}, } @misc{11348, abstract = {{Lifetime is an important feature defining the reliability of electrical connectors. In general practice, the lifetime tests required for reliability estimation are time and labor intensive. In our previous work, a data driven method using a statistical process, with an application of probability distributions such as standard normal distribution and generalized extreme value (GEV) distribution with negative skewness to predict degradation paths, was introduced for estimation of the lifetime and FIT rate with the help of electrical contact resistance data collected from short term tests. The proposed method proved its significance by showing the possibility of drastic reduction in the lifetime test duration required for reliability determination. In this work, a non-parametric distribution free method using percentiles of actual measured contact resistances is used for determining the lifetime as against the percentiles of probability distribution used in previous work, thereby simplifying the process further and leading to an even more precise estimation. The lifetimes calculated from parametric and non-parametric methods are compared to highlight the significance of distribution free method in reliability estimation.}}, author = {{Shukla, Abhay Rammurti and Martin, Robert and Probst, Roman and Song, Jian}}, booktitle = {{Microelectronics Reliability}}, issn = {{0026-2714}}, keywords = {{Electrical and Electronic Engineering, Surfaces, Coatings and Films, Safety, Risk, Reliability and Quality, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials}}, publisher = {{Elsevier }}, title = {{{Comparison of different statistical methods for prediction of lifetime of electrical connectors with short term tests}}}, doi = {{10.1016/j.microrel.2023.115216}}, volume = {{150}}, year = {{2023}}, } @article{9356, abstract = {{In today’s manufacturing industry, enterprise-resource-planning (ERP) systems reach their limit when planning and scheduling production subject to multiple objectives and constraints. Advanced planning and scheduling (APS) systems provide these capabilities and are an extension for ERP systems. However, when integrating an APS and ERP system, the ERP data frequently lacks quality, hindering the APS system from working as required. This paper introduces a data quality (DQ) assessment framework that employs a Bayesian Network (BN) to perform quick DQ assessments based on expert interviews and DQ measurements with actual ERP data. We explain the BN’s functionality, design, and validation and show how using the perceived DQ of experts and a semi-supervised learning algorithm improves the BN’s predictions over time. We discuss applying our framework in an APS system implementation project involving an APS system provider and a medium-sized manufacturer of hydraulic cylinders. Despite considering the DQ assessment framework in such a specific context, it is not restricted to a particular domain. We close by discussing the framework’s limits, particularly the BN as a DQ assessment methodology and future works to improve its performance.}}, author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Padoano, Elio and Hartlief, Jörg and Rautenstengel, Jens and Loeser, Christine and Böhme, Jörg }}, issn = {{1877-0509 }}, journal = {{Procedia Computer Science}}, keywords = {{Data Quality Assessment, Advanced Planning, Scheduling, Bayesian Network, Enterprise Resource Planning}}, pages = {{194--204}}, publisher = {{Elsevier}}, title = {{{An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks}}}, doi = {{https://doi.org/10.1016/j.procs.2022.01.218}}, volume = {{200}}, year = {{2022}}, } @misc{9420, abstract = {{Larger processing equipment to produce minced meat could affect its structure due to intensive processing and a high energy intake in the meat mass. To assess if this would result in alterations in the minced meat quality, finely chopped meat (FCM) was added in different concentrations (15, 30, 45, 60, 75, 90, and 100%) to minced meat and quality parameters were analyzed. FCM was used to simulate different intensity of an unintended destruction of meat cells due to various processes. The amount of non-intact cells (ANIC) was determined histologically and furthermore, soluble protein content, water holding capacity, mechanical and sensory texture, and scanning electron and confocal laser scanning microscopy was applied to analyze the meat structure and quality. ANIC indicated that even adding 15% FCM was statistically (p < 0.05) distinguishable from 100% minced meat and 30% FCM had already 50 Vol.-% ANIC. In contrast, the addition of 15% or 30% FCM did not result in significant differences in drip loss of raw and cooked meat as well as mechanical and sensory texture analysis. This study showed that intensive processing might be detectable via ANIC, but that the minced meat quality was not affected.}}, author = {{Witte , Franziska and Sawas , Erik and Berger , Lisa M. and Gibis , Monika and Weiss, Jochen and Röser, Anja and Upmann, Matthias and Joeres, Eike and Juadjur , Andreas and Bindrich , Ute and Heinz , Volker and Terjung, Nino}}, booktitle = {{Applied Sciences}}, issn = {{2076-3417 }}, keywords = {{minced pork, industrial meat processing, quality characterization, techno-functional properties of minced pork, structural modification}}, number = {{12}}, publisher = {{MDPI}}, title = {{{Influence of Finely Chopped Meat Addition on Quality Parameters of Minced Meat}}}, doi = {{https://doi.org/10.3390/app122010590}}, volume = {{20}}, year = {{2022}}, } @misc{7986, abstract = {{Bioprocess development and optimization are still cost- and time-intensive due to the enormous number of experiments involved. In this study, the recently introduced model-assisted Design of Experiments (mDoE) concept (Möller et al. in Bioproc Biosyst Eng 42(5):867, https://doi.org/10.1007/s00449-019-02089-7, 2019) was extended and implemented into a software (“mDoE-toolbox”) to significantly reduce the number of required cultivations. The application of the toolbox is exemplary shown in two case studies with Saccharomyces cerevisiae. In the first case study, a fed-batch process was optimized with respect to the pH value and linearly rising feeding rates of glucose and nitrogen source. Using the mDoE-toolbox, the biomass concentration was increased by 30% compared to previously performed experiments. The second case study was the whole-cell biocatalysis of ethyl acetoacetate (EAA) to (S)-ethyl-3-hydroxybutyrate (E3HB), for which the feeding rates of glucose, nitrogen source, and EAA were optimized. An increase of 80% compared to a previously performed experiment with similar initial conditions was achieved for the E3HB concentration.}}, author = {{Moser, André and Kuchemüller, Kim B. and Deppe, Sahar and Hernández Rodriguez, Tanja and Frahm, Björn and Pörtner, Ralf and Hass, Volker C. and Möller, Johannes}}, booktitle = {{Bioprocess and Biosystems Engineering}}, isbn = {{1615-7591}}, issn = {{1615-7605}}, keywords = {{Biocatalysis, Monte Carlo methods, Fed-batch strategy, Model-assisted design of experiments, Quality by design}}, number = {{4}}, pages = {{683--700}}, publisher = {{Springer}}, title = {{{Model-assisted DoE software: Optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses}}}, doi = {{10.1007/s00449-020-02478-3}}, volume = {{44}}, year = {{2021}}, } @misc{12789, abstract = {{Additive manufacturing is being increasingly focused on the production of end-use parts. Compared to the prototyping application, the production of end-use parts demands a higher level of repeatability and process quality. To achieve this, increased knowledge is required about the influence of various process parameters on the part characteristics and the parameter interrelations. Design of Experiment methods can be applied to gain knowledge on the process behavior, but the applicability of different DoE methods for AM processes has to be validated. This paper describes the application of a definitive screening design for the identification of influencing parameters in Laser Powder Bed Fusion of CoCrW alloy. The impact of various hatch parameters on the part porosity is analyzed. The experimental setup and results are described. The results are validated in an additional test series, comparing the part quality achieved by parameter-sets obtained by different optimization approaches. Furthermore, the correlation of the porosity towards mechanical properties is investigated. Finally, the opportunities and limitations of the method are discussed.}}, author = {{Huxol, Andrea and Villmer, Franz-Josef}}, booktitle = {{International Journal of Computer Integrated Manufacturing}}, issn = {{1362-3052}}, keywords = {{Additive manufacturing, quality control, process qualification, process control, screening design}}, number = {{4-5}}, pages = {{556--567}}, publisher = {{Taylor & Francis}}, title = {{{Experimental approach towards parameter evaluation in laser powder bed fusion of metals}}}, doi = {{10.1080/0951192x.2021.1901313}}, volume = {{35}}, year = {{2021}}, } @book{4851, abstract = {{In diesem Open-Access-Tagungsband sind die besten Beiträge des 9. Jahreskolloquiums "Kommunikation in der Automation" (KommA 2018) und des 6. Jahreskolloquiums "Bildverarbeitung in der Automation" (BVAu 2018) enthalten. Die Kolloquien fanden am 20. und 21. November 2018 in der SmartFactoryOWL, einer gemeinsamen Einrichtung des Fraunhofer IOSB-INA und der Technischen Hochschule Ostwestfalen-Lippe statt. Die vorgestellten neuesten Forschungsergebnisse auf den Gebieten der industriellen Kommunikationstechnik und Bildverarbeitung erweitern den aktuellen Stand der Forschung und Technik. Die in den Beiträgen enthaltenen anschaulichen Beispiele aus dem Bereich der Automation setzen die Ergebnisse in den direkten Anwendungsbezug.}}, editor = {{Jasperneite, Jürgen and Lohweg, Volker}}, isbn = {{978-3-662-59894-8}}, issn = {{2522-8587}}, keywords = {{Industrielle Kommunikationstechnik Industrielle Bildverarbeitung Network reliability and redundancy methods Networked Control Systems Wireless real-time communication Open Access quality control, reliability, safety and risk}}, location = {{Lemgo}}, pages = {{364}}, publisher = {{Springer Vieweg}}, title = {{{Kommunikation und Bildverarbeitung in der Automation : Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2018}}}, doi = {{https://doi.org/10.1007/978-3-662-59895-5}}, volume = {{12}}, year = {{2020}}, } @misc{12791, abstract = {{Additive manufacturing is being increasingly focused on the production of end-use parts. Compared to the prototyping application, the production of end-use parts demands a higher level of repeatability and process quality. To achieve this, increased knowledge is required about the influence of various process parameters on the part characteristics and the parameter interrelations. Design of Experiment methods can be applied to gain knowledge on the process behavior, but the applicability of different DoE methods for AM processes has to be validated. This paper describes the application of a definitive screening design for the identification of influencing parameters in Selective Laser Melting. The experimental setup and results are described and opportunities and limitations of the method are discussed. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.}}, author = {{Huxol, Andrea and Villmer, Franz-Josef}}, booktitle = {{13th International-Federation-of-Automatic-Control (IFAC) Workshop on Intelligent Manufacturing Systems (IMS)}}, issn = {{2405-8963}}, keywords = {{Additive manufacturing, quality control, process qualification, process control, screening design}}, location = {{Oshawa, CANADA}}, pages = {{270--275}}, publisher = {{Elsevier BV}}, title = {{{DoE Methods for Parameter Evaluation in Selective Laser Melting}}}, doi = {{10.1016/j.ifacol.2019.10.041}}, volume = {{52}}, year = {{2019}}, } @inproceedings{550, abstract = {{Additive Manufacturing (AM) technologies are increasingly used for final part production. Especially technologies for processing of metal, like Selective LaserMelting (SLM), arefocusedin this area. The shift from prototyping towards final part production results in enhanced requirements for repeatability and predictability of the part quality. Machine manufacturers offer process monitoring solutions for different aspects of the production process, like the powder bed surface, the melt pool, and the laser energy. Nevertheless, the significance of these systems is not fully proven and threshold values for the monitored process parameters have to be determined for each product individually. This impedes the development of suitable process control systems. The paper gives an overview ofexistingresearch approaches and available process monitoring systems for SLM and their applicability for predicting certain part characteristics. The existing solutions are evaluated based on own research results. Next, AM specific difficulties for the development of process control tools and possible solutions are discussed.}}, author = {{Huxol, Andrea and Villmer, Franz-Josef}}, booktitle = {{Production Engineering and Management}}, editor = {{Villmer, Franz-Josef and Padoano, Elio}}, isbn = {{978-3-946856-03-0}}, keywords = {{Additive manufacturing, Process capability, Process monitoring, Quality assurance, Final part production}}, location = {{Lemgo}}, number = {{1}}, pages = {{17--28}}, title = {{{Process Control for Selective Laser Melting - Opprtunities and Limitations}}}, year = {{2018}}, } @book{4506, abstract = {{In diesem Tagungsband sind die besten Beiträge des 7. Jahreskolloquiums "Kommunikation in der Automation" (KommA 2016) und des 5. Jahreskolloquiums "Bildverarbeitung in der Automation" (BVAu 2016) enthalten. Die Kolloquien fanden am 30. November und 1. Dezember 2016 anlässlich des 10jährigen Jubiläums des inIT - Institut für industrielle Informationstechnik in der SmartFactoryOWL, einer herstellerunabhängigen und offenen Industrie 4.0 Forschungs- und Demonstrationsplattform und zugleich Testfeld für den Mittelstand, in Lemgo statt. Die vorgestellten neuesten Forschungsergebnisse auf den Gebieten der industriellen Kommunikationstechnik und Bildverarbeitung erweitern den aktuellen Stand der Forschung und Technik. Die in den Beiträgen enthaltenen anschauliche Anwendungsbeispiele aus dem Bereich der Automation setzen die Ergebnisse in den direkten Anwendungsbezug.}}, editor = {{Jasperneite, Jürgen and Lohweg, Volker}}, isbn = {{978-3-662-55231-5}}, keywords = {{Industrielle Kommunikationstechnik, Industrielle Bildverarbeitung, network reliability and redundancy methods, Networked Controls Systems, wireless real-time communication, quality control, reliability, safety and risk}}, location = {{Lemgo}}, pages = {{295}}, publisher = {{Springer Vieweg}}, title = {{{ Kommunikation und Bildverarbeitung in der Automation : Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2016 zum 10jährigen Jubiläum des inIT - Institut für industrielle Informationstechnik}}}, doi = {{10.1007/978-3-662-55232-2}}, volume = {{7}}, year = {{2017}}, } @misc{860, author = {{Braun, Paul}}, keywords = {{Fernsehserien, Quality-TV, Qualitätsserien, Serien, TV-Serien}}, pages = {{91}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Die Relevanz von Thompsons Qualitätskriterien für heutige Serien.}}}, year = {{2017}}, } @inproceedings{570, abstract = {{Additive manufacturing (AM) has matured rapidly during the last years due to the advancement of AM machines and materials. Nevertheless, the widespread adoption of AM is still challenged by producing parts with reliable quality. The aim of this paper is t o introduce a first approach to apply in-situ monitoring for quality evaluation of produced parts. Based on the monitored data, a model is developed, in order to predict the quality of ready built parts.}}, author = {{Scheideler, Eva and Huxol, Andrea and Villmer, Franz-Josef}}, booktitle = {{Production Engineeringand Management}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-946856-01-6}}, keywords = {{Nondestructive quality control, Predictive analytics, Metal model, Additive manufacturing}}, location = {{Pordenone, Italy}}, number = {{1}}, pages = {{89--100}}, title = {{{Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models}}}, year = {{2017}}, } @misc{12975, abstract = {{Properly handled fish is usually marketed as “fresh fish” until day 10 after fishing. About 40% of the total fishery that is used for direct human consumption is marketed in fresh form stored at temperatures up to +2 °C. Currently, there are no validated methods available for controlling the recommended period of storage. Apart from being a potential source for food fraud, spoiled fish represents a major source of foodborne illnesses and intoxications. In this study, a rapid MALDI-TOF mass spectrometry based screening method was developed using the vitreous fluid of fish eyes as specimen for the examination of different days of storage. The vitreous fluid was collected from n = 100 freshly fished brown trouts at day 0, 3, 7, 9, and 11 post mortem (n = 20 brown trouts each day of examination). The samples were immediately measured by MALDI-TOF mass spectrometry in linear positive mode (mass range m/z 2000–20,000 Da). For quality assurance the experiment was repeated with a set of brown trouts (n = 100) originating from the same fish farm and with brown trouts (n = 100) originating from a different fish farm. For specificity testing rainbow trouts (n = 10) were examined accordingly. All obtained mass spectra were processed by means of MALDI Biotyper OC 3.1 and ClinProTools 3.0 software. The MALDI Biotyper approach showed limited applicability for the identification of the time of storage. However, it was suitable to reliably discriminate between the closely related species brown and rainbow trout. Processing by ClinProTools revealed four crucial mass peaks (m/z 2594 Da, m/z 4857 Da, m/z 4879 Da, m/z 4899 Da) which enabled a reliable differentiation between day 0 and 3, 7, 9, 11 (rate of correct identification > 90%) as well as the differentiation between day 3 and 7, 9, 11 (rate of correct identification > 72%). However, this approach showed limited applicability within the end of the tested period of storage when comparing between day 7, 9, or 11.}}, author = {{Ulrich, Sebastian and Beindorf, Philipp–Michael and Biermaier, Barbara and Schwaiger, Karin and Gareis, Manfred and Gottschalk, Christoph}}, booktitle = {{Food Control}}, issn = {{0956-7135}}, keywords = {{MALDI-TOF, Mass spectrometry, Freshness, Fish, Quality control, Authenticity}}, number = {{10}}, pages = {{281--289}}, publisher = {{Elsevier }}, title = {{{A novel approach for the determination of freshness and identity of trouts by MALDI-TOF mass spectrometry}}}, doi = {{10.1016/j.foodcont.2017.05.005}}, volume = {{80}}, year = {{2017}}, } @misc{12976, abstract = {{The consumption of edible insects (entomophagy) will gain greater significance facing the increasing global population, which is suggested to reach 9 billion people in 2050 (FAO., 2009). Due to their high amount of proteins, fatty acids, vitamins, and minerals insects represent a valuable source of essential nutrients. While the consumption of insects is very common in many countries of Africa and Asia, there is a far smaller acceptance for entomophagy in Western cultures. Though, products such as noodles or burger paddies made from insect meal have a better compliance and can already be purchased in some countries of the European Union. This processing step however involves the risk of adulteration, because there is no more possibility to authenticate the insects once they are ground. The aim of this study was to investigate whether edible insects could be measured and distinguished by MALDI-TOF MS (matrix-assisted laser desorption ionization-time of flight mass spectrometry). Therefore, different kinds of edible insects (buffalo worms, mealworms, crickets and grasshoppers) were purchased via online shops and ground subsequently. The insect powder was extracted by vigorously shaking in diluted formic acid and measured by MALDI-TOF MS. The measurement provided reproducible as well as specific mass spectra and enabled a precise differentiation of the different species.}}, author = {{Ulrich, Sebastian and Kühn, Ulrike and Biermaier, Barbara and Piacenza, Nicolo and Schwaiger, Karin and Gottschalk, Christoph and Gareis, Manfred}}, booktitle = {{Food Control}}, issn = {{0956-7135}}, keywords = {{MALDI-TOF MS, Mass spectrometry, Edible insects, Authenticity, Food quality}}, number = {{6}}, pages = {{96--101}}, publisher = {{Elsevier}}, title = {{{Direct identification of edible insects by MALDI-TOF mass spectrometry}}}, doi = {{10.1016/j.foodcont.2017.01.010}}, volume = {{76}}, year = {{2017}}, } @misc{11745, abstract = {{Background: Data capture is one of the most expensive phases during the conduct of a clinical trial and the increasing use of electronic health records (EHR) offers significant savings to clinical research. To facilitate these secondary uses of routinely collected patient data, it is beneficial to know what data elements are captured in clinical trials. Therefore our aim here is to determine the most commonly used data elements in clinical trials and their availability in hospital EHR systems. Methods: Case report forms for 23 clinical trials in differing disease areas were analyzed. Through an iterative and consensus-based process of medical informatics professionals from academia and trial experts from the European pharmaceutical industry, data elements were compiled for all disease areas and with special focus on the reporting of adverse events. Afterwards, data elements were identified and statistics acquired from hospital sites providing data to the EHR4CR project. Results: The analysis identified 133 unique data elements. Fifty elements were congruent with a published data inventory for patient recruitment and 83 new elements were identified for clinical trial execution, including adverse event reporting. Demographic and laboratory elements lead the list of available elements in hospitals EHR systems. For the reporting of serious adverse events only very few elements could be identified in the patient records. Conclusions: Common data elements in clinical trials have been identified and their availability in hospital systems elucidated. Several elements, often those related to reimbursement, are frequently available whereas more specialized elements are ranked at the bottom of the data inventory list. Hospitals that want to obtain the benefits of reusing data for research from their EHR are now able to prioritize their efforts based on this common data element list.}}, author = {{Bruland, Philipp and McGilchrist, Mark and Zapletal, Eric and Acosta, Dionisio and Proeve, Johann and Askin, Scott and Ganslandt, Thomas and Doods, Justin and Dugas, Martin}}, booktitle = {{BMC Medical Research Methodology}}, issn = {{1471-2288}}, keywords = {{Clinical trials, Common data elements, Data quality, Electronic health records, Metadata, Secondary use}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting}}}, doi = {{10.1186/s12874-016-0259-3}}, volume = {{16}}, year = {{2016}}, } @inproceedings{473, abstract = {{Additive Manufacturing (AM) describes a number of technologies that generate three-dimensional objects directly from CAD data by joining volume elements. Dental technology is one sector in which the benefits of AM come into effect, as parts such as frameworks or implants are unique objects often with freeform shapes. These objects are difficult and expensive to produce with subtractive or formative technology. During the last decades, the application of digital technologies in the dental industry has increased. Therefore AM has also evolved to become a standard dental framework manufacturing process. While previously the dental laboratory did the complete manufacturing of dental frameworks, AM parts are usually produced by service providers, thus increasing the number of process participants. Under these circumstances, a reliable high quality production must be ensured. This requires a comprehensive Quality Management (QM) concept for the whole process chain. A first step in the evelopment of this QM concept is the definition of the product requirements, from which process specifications can be determined. These specifications build the basis for evaluating the process capability of the Additive Manufacturing process.}}, author = {{Huxol, Andrea and Villmer, Franz-Josef}}, booktitle = {{Production Engineering and Management}}, editor = {{Villmer, Franz-Josef and Padoano, Elio}}, keywords = {{Additive Manufacturing, Dental frameworks, Quality management, Digital manufacturing}}, location = {{Lemgo}}, number = {{1}}, pages = {{15--26}}, title = {{{Special Requirements for Additive Manufacturing of Dental Frameworks}}}, year = {{2016}}, } @inproceedings{588, abstract = {{While common measurement techniques like gloss or color measurement are widely used in industry for quality assessment of furniture high gloss surfaces, they indicate only a weak correlation to the quality perceived by the customer. Topography based approaches achieve higher correlation to human perception but are often based on linear measurement which cannot be applied for an overall assessment of larger surfaces. Thus an algorithm was developed to calculate a specific value based on topographic features, such as orange peel, within the research project ‘Development of a comprehensive quality concept for furniture high gloss surfaces’, funded by the federal Ministry of Education and Research. For the evaluation of short waved structures on furniture high gloss surfaces the ratio of hill height to hill area was chosen. This parameter proves to be applicable for an evaluation of the extent of a single. }}, author = {{Huxol, Andrea and Riegel, Adrian and Dekomien, Kerstin}}, booktitle = {{Production Engineering and Management}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-941645-11-0}}, keywords = {{High gloss, surface measurement, topographic features, quality assessment}}, location = {{Trieste, Italy}}, number = {{1}}, pages = {{99--110}}, title = {{{Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception}}}, year = {{2015}}, } @misc{8274, abstract = {{The need for multiple radio systems in overlapping regions of a factory plant introduces a coexistence problem. The current research challenge is to design and realize radio systems that should be able to achieve a desired quality of service (QoS) in this coexisting environment. Currently transmission resources of hyperspace are not properly exploited. The cognitive radio (CR), which can adapt to the environmental changes by reconfiguring itself, can be used to implement intelligent radio systems to exploit the orthogonal nature of multiple dimensions of hyperspace to maintain the desired QoS in coexisting factory environments. We present initial results of a coexistence optimized CR which can exploit frequency and power, which are two of several dimensions of hyperspace, to improve its QoS in coexisting environments.}}, author = {{Ahmad, Kaleem and Meier, Uwe and Pape, Andreas and Kwasnicka, Halina and Griese, Bjoern}}, booktitle = {{ 2009 6th IEEE Annual Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops}}, isbn = {{978-1-4244-3938-6}}, keywords = {{Cognitive radio, Quality of service, Space technology, Frequency, Production facilities, Chromium, Manufacturing automation, Intelligent systems, Polarization, Testing}}, location = {{Rome, Italy }}, publisher = {{IEEE }}, title = {{{A Generic Cognitive Radio for Evaluating Coexistence Optimized Industrial Automation Systems}}}, doi = {{10.1109/SAHCNW.2009.5172916}}, year = {{2009}}, } @article{2069, abstract = {{During printed product manufacturing, measures are taken to ensure a certain level of printing quality and security via authentification methods. This is particularly true in the field of security printing, where the quality standards, which must be reached by the end-products, i.e. banknotes, security documents and the like, are very high. It is accepted, that print defects are generated because printing parameters but also machine parameters will change unnoticed in production. Therefore, a new concept for a multi-sensory adaptive learning and classification model based on Fuzzy-Pattern-Classifiers for data inspection, authentification and machine conditioning is proposed. This kind of inspection concept, which combines optical, acoustical and other machine information, produces 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. A general aim is to improve the known inspection techniques and propose an inspection methodology that can ensure a comprehensive quality control of the printed substrates processed by printing presses, especially printing presses which are designed to process substrates used in the course of the production of banknotes, security documents and others. }}, author = {{Dyck, Walter and Türke, Thomas and Schaede, Johannes and Lohweg, Volker}}, journal = {{Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA}}, keywords = {{authentification, anti-counterfeit features, inspection, quality, sensor fusion, pattern recognition}}, title = {{{A New Concept on Quality Inspection and Machine Conditioning for Security Prints}}}, year = {{2008}}, }