@misc{13495, abstract = {{The use of additive manufacturing for rapid prototyping of near-infrared and terahertz components provides seamless and error-free production. This article discusses the additive manufacturing and post-processing of axicons and their performance evaluation using attenuation and near-field-measurements based fundamental techniques. The axicons are manufactured using the materials cyclic olefin copolymer (TOPAS) and polymethyl methacrylate (PMMA), for their respective use in terahertz and near-infrared applications. The optical and terahertz components manufactured using traditional 3D-printing processes, e.g., fused filament fabrication or stereolithography apparatus exhibit high surface roughness in the range of 15 ± 2.5 µm, resulting in undesired propagation and scattering in the near infrared wavelengths. This research work proposes an economical post-processing technique for additively manufactured terahertz and near-infrared axicons for applications in multispectral characterization, e.g., bio-sensing. The authors used an enhanced method of dip-coating, which involves interval dipping and intermittent hardening to achieve better surface finish. An emphasis is placed on interval dipping and intermittent hardening, which lead to excellent transparency in case of additively-manufactured near-infrared axicons. The dip-coated samples exhibit surface roughness below 10 nm. With the use of heated resin material as the coating layer, due to reduced viscosity, the resin material distributes uniformly over the surface of the 3D-printed terahertz and near-infrared axicons. The authors also observed that the DOF length deviation between unprocessed and enhanced dip-coated axicons remains within the measurement error estimation from analytical calculations. In addition to the improved surface finish and transparency, the coatings are also closely matched in refractive index to the axicon material. Such post-processed axicons pave the way for producing a wide array of systems in the fields of communication, imaging, and bio-sensing.}}, author = {{Shrotri, Abhijeet Narendra and Starsaja, Annamarija and Joshi, Suraj and Preu, Sascha and Stübbe, Oliver}}, booktitle = {{Photonics}}, issn = {{2304-6732}}, keywords = {{additive manufacturing, stereolithography, dip-coating, post-processing}}, number = {{3}}, publisher = {{MDPI AG}}, title = {{{Multispectral Characterization of Additively Manufactured and Dip-Coated Axicons}}}, doi = {{10.3390/photonics13030264}}, volume = {{13}}, year = {{2026}}, } @unpublished{13346, abstract = {{This article discusses the additive manufacturing and post-processing of axicons, and their performance evaluation using attenuation and near-field-measurements based fundamental techniques. The axicons are manufactured using the materials cyclic olefin copolymer (TOPAS) and polymethyl methacrylate (PMMA), for their respective use in terahertz and near-infrared applications. An emphasis is placed on the dip-coating-based post-processing. Interval dipping and intermittent hardening lead to excellent surface finish and transparency in case of additively-manufactured near-infrared axicons. The dip-coated samples exhibit surface roughness of sub 10nm, and a uniformly distributed thin layer coating over the axicon surface. In addition to the improved surface finish and transparency, the coatings are also closely matched in refractive index to the axicon material. Such post-processed axicons pave the way for rapid-prototyping and production.}}, author = {{Shrotri, Abhijeet Narendra and Starsaja, Annamarija and Joshi, Suraj and Preu, Sascha and Stübbe, Oliver}}, booktitle = {{Optica Open}}, issn = {{2334-2536 }}, keywords = {{additive manufacturing, stereolithography, dip-coating, post-processing}}, pages = {{5}}, publisher = {{Optica Publishing Group}}, title = {{{Multispectral characterization of additively manufactured and dip-coated axicons}}}, doi = {{https://doi.org/10.1364/opticaopen.31149016}}, year = {{2026}}, } @unpublished{13363, abstract = {{This article discusses the additive manufacturing and post-processing of axicons, and their performance evaluation using attenuation and near-field-measurements based fundamental techniques. The axicons are manufactured using the materials cyclic olefin copolymer (TOPAS) and polymethyl methacrylate (PMMA), for their respective use in terahertz and near-infrared applications. An emphasis is placed on the dip-coating-based post-processing. Interval dipping and intermittent hardening lead to excellent surface finish and transparency in case of additively-manufactured near-infrared axicons. The dip-coated samples exhibit surface roughness of sub 10 nm, and a uniformly distributed thin layer coating over the axicon surface. In addition to the improved surface finish and transparency, the coatings are also closely matched in refractive index to the axicon material. Such post-processed axicons pave the way for rapid-prototyping and production.}}, author = {{Shrotri, Abhijeet Narendra and Starsaja, Annamarija and Joshi, Suraj and Preu, Sascha and Stübbe, Oliver}}, booktitle = {{Photonics: Open Access Journal}}, issn = {{2304-6732 }}, keywords = {{additive manufacturing, stereolithography, dip-coating, post-processing}}, pages = {{15}}, publisher = {{MDPI }}, title = {{{Multispectral Characterization of Additively Manufactured and Dip-Coated Axicons}}}, doi = {{https://doi.org/10.20944/preprints202602.0389.v1}}, year = {{2026}}, } @misc{12424, abstract = {{Additive manufacturing of optical, electrical, and mechanical components is a beneficial approach for the rapid prototyping of components and error elimination, with short turnaround times. However, additively manufactured components usually have rough surfaces that need post-processing, particularly for optical components, where the surface roughness must be a small fraction of the wavelength. We demonstrate an innovative and economical approach by dip-coating with the same resin used for printing in a simple post-processing step, providing high transparency to the 3D-printed optical components and reducing surface roughness while achieving perfect index matching of the coating layer. The surface roughness of the 3D-printed optical components drops to 5 nm (arithmetic average) after the dip-coating process. We observed significant performance enhancements after comparing the unprocessed optical components and the dip-coated optical components, including optical transparency and a shiny surface finish for previously rough surfaces.}}, author = {{Shrotri, Abhijeet Narendra and Preu, Sascha and Stübbe, Oliver}}, booktitle = {{Coatings : open access journal}}, issn = {{2079-6412}}, keywords = {{additive manufacturing, post-processing, optics, dip-coating}}, number = {{2}}, publisher = {{MDPI AG}}, title = {{{Achieving Transparency and Minimizing Losses of Rough Additively Manufactured Optical Components by a Dip-Coating Surface Finish}}}, doi = {{10.3390/coatings15020210}}, volume = {{15}}, year = {{2025}}, } @unpublished{13029, abstract = {{Additive manufacturing of optical, electrical and mechanical components is a beneficial approach for rapid prototyping of components and error elimination with short turn around times. However, additively manufactured components usually have rough surfaces which need post-processing, in particular for optical components where the surface roughness must be a small fraction of the wavelength. We demonstrate an innovative and economical approach by dip-coating with the same resin as used for printing, providing high transparency of the 3D-printed optical components and reduced surface roughness with perfect index matching of the coating layer in a simple post processing step. The surface roughness of the 3D-printed optical components drops to 5 nm (arithmetic average) after the dip-coating process. We observed significant performance enhancement after comparing the unprocessed optical components and dip-coated optical components, including achieving optical transparency and shiny surface finish of previously rough surfaces.}}, author = {{Shrotri, Abhijeet Narendra and Preu, Sascha and Stübbe, Oliver}}, booktitle = {{Coatings : open access journal}}, keywords = {{additive manufacturing, post-processing, optics, dip-coating}}, pages = {{10}}, publisher = {{MDPI}}, title = {{{Achieving Transparency and Minimizing Loss of Rough Additively Manufactured Optical Components by a Dip-Coating Surface Finish}}}, doi = {{10.20944/preprints202501.1899.v1}}, year = {{2025}}, } @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{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{7470, abstract = {{The concepts of collective management of housing and urban spaces are being revisited within the contemporary discussions about community-driven approaches and practices and, in particular, related to the revitalization of residential neighbourhoods. This research identifies the concepts of self-management and social ownership of housing in the post-World War II period in Yugoslavia as an important legacy of Yugoslav urban planning and housing policies. Although they were subsequently neglected, these concepts can contribute to contemporary global discussions about housing affordability and the role of community in ensuring spatial and social equality. New Belgrade mass housing blocks—the main site for testing the new dwelling concepts, in terms of both policies and modernist design—are the object of this research. The article is mainly a theoretical analysis of the issues of common interest and engagement, common good, and common spaces which played a decisive role in its design. The study applies interpretative and correlational research methods in re-theorizing these concepts and their underlying narratives. It traces how the perspectives on the collective practices and spaces evolved over time, revealing a correlation between changed social practices and the spatial deterioration of the New Belgrade mass housing blocks. The study highlights the importance of both collective practices and common spaces for addressing housing issues, emphasizing their instrumentality, and potentiality for rearticulating the dialogue between public and private, engaging citizens in interactive and inclusive decision-making and co-creation of the urban reality.}}, author = {{Dragutinovic, Anica and Pottgiesser, Uta and Quist, Wido}}, booktitle = {{Urban Planning}}, issn = {{2183-7635}}, keywords = {{common spaces, community, dwelling concepts, New Belgrade, post-war housing, self-management, urban commons}}, number = {{1}}, pages = {{267--279}}, publisher = {{Cogitatio}}, title = {{{Self-Management of Housing and Urban Commons: New Belgrade and Reflections on Commons Today}}}, doi = {{10.17645/up.v7i1.4746}}, volume = {{7}}, year = {{2022}}, } @misc{8447, author = {{Schwarzer, Knut and Müller, Ulrich and Schneider, Jan}}, keywords = {{Pasteurization, minimal processing}}, location = {{Madrid}}, title = {{{Rethink Beer Pasteurization – Safety, Sustainability and Quality}}}, year = {{2022}}, } @inproceedings{9193, abstract = {{The paper studies local community centres (Serbian: centar mesne zajednice – CMZ) of post–war mass housing neighbourhoods in New Belgrade. Those were designed and built in 1970s as multifunctional centres with facilities and programmes complementary to the housing blocks: socio–cultural, commercial (grocery stores), daily services (post office, bank, crafts, etc.) spaces for socio–political activities and office spaces for the local community. The local community centres significantly increased quality of life of the residents, liveability and socialisation in the neighbourhoods. Furthermore, one of the main aims of these spaces was to enable actual realisation of the self–management in local communities. This paper reflects on the ideological and theoretical basis for their conceptualisation, referring to Edvard Kardelj, one of the main ideologues of self–management and originator of the local community concept in Yugoslavia. Moreover, the paper investigates: how the local community centres were planned, designed and programmed, and how they were spatially integrated in the existing residential blocks; how their organisational and governing role has been neglected over time, and their main purpose altered; and what are potentials and socio–spatial capacities for their future reuse. Reaffirmation of local community centres as utilitarian, governing and social space is recognized as key for promoting participation and collaborative governance in New Belgrade blocks, as well as for improving social connections, solidarity and sense of belonging in these neighbourhoods. As such, the local community centres could be one of the main factors of revitalisation of the blocks, increasing vitality and improving quality of life of the residents. Furthermore, the local community centres could have a major role in unlocking the potential of institutions and individuals towards new effective urban governance structures, as well as institutionalising citizens{\textquoteright} participation and bottom-up governance as direct democracy in the city today.}}, author = {{Dragutinovic, Anica and Pottgiesser, Uta and Quist, Wido}}, booktitle = {{Modern Design. Social Commitment and Quality of Life}}, editor = {{Jordá Such, Carmen and Palomares Figueres, Maite and Tostões, Ana and Pottgiesser, Uta}}, isbn = {{978-84-19286-59-8}}, keywords = {{local community centre, neighbourhood, post-war housing, neighbourhood histories, local communities, New Belgrade}}, location = {{Valencia, Spain}}, pages = {{329--337}}, publisher = {{Docomomo International, tirant lo blanch}}, title = {{{Local Community Centre as Utilitarian, Governing and Social Space: The Case of New Belgrade CMZ}}}, 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{12948, abstract = {{Diet processing impacts on starch properties, such as the degree of starch gelatinization. This affects digestibility, as shown in laboratory mice fed either a pelleted or an extruded diet. In the present study, the morphology of starch particles throughout the digestive tract of mice was visualized. Thirty-two female C57BL/6J mice were used for a feeding trial. They were fed a commercial maintenance diet for laboratory mice, which was available in pelleted and extruded form, for seven weeks. The mice were sacrificed after the feeding period, and chyme samples were collected from five sites (stomach, anterior and posterior small intestine, caecum, colon). Samples of diets, chyme and faeces were analyzed via stereomicroscopy (stained with Lugol’s iodine) and scanning electron microscopy (SEM). The starch granules appeared more compact in the pelleted diet, showing first signs of degradation only in the small intestine. The caecum content of both diets group was intensively stained, particles as well as fluid phase, indicating that it contained mainly starch. The SEM pictures of caecum content showed abundant bacteria near starch particles. This suggests selective retention of prae-caecally undigested starch in the murine caecum, likely the site of microbial fermentation.}}, author = {{Wenderlein, Jasmin and Kienzle, Ellen and Straubinger, Reinhard K. and Schöl, Heidrun and Ulrich, Sebastian and Böswald, Linda Franziska}}, booktitle = {{Animals}}, issn = {{2076-2615}}, keywords = {{amylase, carbohydrate metabolism, processing, laboratory animal diets, caecum fermentation}}, number = {{8}}, publisher = {{MDPI AG}}, title = {{{Morphology of Starch Particles along the Passage through the Gastrointestinal Tract in Laboratory Mice Fed Extruded and Pelleted Diets}}}, doi = {{10.3390/ani12080952}}, volume = {{12}}, year = {{2022}}, } @misc{7981, abstract = {{The main purpose of bovine colostrum, being the milk secreted by a cow after giving birth, is to transfer passive immunity to the calf. The calves have an immature immune system as they lack immunoglobulins (Igs). Subsequently, the supply of good quality bovine colostrum is required. The quality of colostrum is classified by low bacterial counts and adequate Ig concentrations. Bacterial contamination can contain a variety of human pathogens or high counts of spoilage bacteria, which has become more challenging with the emerging use of bovine colostrum as food and food supplements. There is also a growing risk for the spread of zoonotic diseases originating from bovines. For this reason, processing based on heat treatment or other feasible techniques is required. This review provides an overview of literature on the microbial quality of bovine colostrum and processing methods to improve its microbial quality and keep its nutritional values as food. The highlights of this review are as follows: high quality colostrum is a valuable raw material in food products and supplements; the microbial safety of bovine colostrum is increased using an appropriate processing-suitable effective heat treatment which does not destroy the high nutrition value of colostrum; the heat treatment processes are cost-effective compared to other methods; and heat treatment can be performed in both small- and large-scale production.}}, author = {{Fasse, Sylvia and Alarinta, Jarmo and Frahm, Björn and Wirtanen, Gun}}, booktitle = {{Dairy}}, issn = {{2624-862X }}, keywords = {{bovine colostrum, bacteria, pathogens, probiotic bacteria, cost-effective processing, heat treatment, pasteurization, contamination control, immunoglobulins, enzymes}}, number = {{4}}, pages = {{556--575}}, publisher = {{MDPI}}, title = {{{Bovine Colostrum for Human Consumption - Improving Microbial Quality and Maintaining Bioactive Characteristics through Processing}}}, doi = {{10.3390/dairy2040044}}, volume = {{2}}, year = {{2021}}, } @misc{12950, abstract = {{The composition of the microbiome is subject to the host’s diet. In commercial laboratory mouse diets, different physical forms of the same diets are available, containing—according to their labels—identical ingredients and nutrient compositions. However, variations in nutrient composition and starch gelatinization due to production processes and their impact on digestibility have been described. In this study, a total of 48 C57BL/J6 mice were assigned to two equal groups and were fed diets (produced with different processes—extruded vs. pelleted) for eight weeks in two biological replicates. At the end of the experiment, samples were collected from five different gastrointestinal regions, including the stomach, small intestine, cecum, large intestine, and an extracorporeal region (feces), and the microbiome was analyzed with 16S rRNA gene amplicon sequencing. The replicates in both experiments differed significantly in their relative abundances of Muribaculaceae species. Furthermore, the gastrointestinal content of pellet-fed mice contained larger numbers of Lactobacillus species. These results indicate that starch gelatinization and ingredient composition significantly influence microbial makeup. In conclusion, different feed processing methods may affect fundamental digestive and metabolic processes, impacting animal experiments and biasing microbiome data.}}, author = {{Wenderlein, Jasmin and Böswald, Linda F. and Ulrich, Sebastian and Kienzle, Ellen and Neuhaus, Klaus and Lagkouvardos, Ilias and Zenner, Christian and Straubinger, Reinhard K.}}, booktitle = {{Animals}}, issn = {{2076-2615}}, keywords = {{feed processing, starch gelatinization, laboratory mouse, diet, intestinal microbiome}}, number = {{3}}, publisher = {{MDPI AG}}, title = {{{Processing Matters in Nutrient-Matched Laboratory Diets for Mice—Microbiome}}}, doi = {{10.3390/ani11030862}}, volume = {{11}}, year = {{2021}}, } @misc{12953, abstract = {{Starch gelatinization is a major determinant of carbohydrate digestibility and varies with diet processing. Laboratory rodent diets are often marketed as identical, but are sold in different forms, regardless of the markedly higher starch gelatinization in extruded than in pelleted diets. Our hypothesis was that this would impact energy and nutrient digestibility in mice fed pellets or extrudate, respectively. Trial 1 showed that feeding C57BL/6 mice a standard maintenance diet in extruded form results in a significantly higher digestibility of organic matter, energy, and carbohydrates than the identical diet in pelleted form. The replication of the experiment, however, revealed a variation between batches of the same pelleted diet regarding starch and total dietary fiber contents. Given the significant differences in diet digestibility and the potential impacts of digestibility on nutrient utilization, the intestinal microbiome, and intermediary metabolism, trials performed with differently processed diets are not comparable. This might partly explain failures to reproduce results, especially in gastrointestinal or microbiome research. Considering this impact on experimental animals, the degree of starch gelatinization should be declared in the diet information for laboratory animal diets. The differences between batches of laboratory animal diets as observed in the pellets are not acceptable.}}, author = {{Böswald, Linda F. and Wenderlein, Jasmin and Straubinger, Reinhard K. and Ulrich, Sebastian and Kienzle, Ellen}}, booktitle = {{Animals}}, issn = {{2076-2615}}, keywords = {{standardization, carbohydrate digestibility, feed processing, starch gelatinization, gut}}, number = {{2}}, publisher = {{MDPI}}, title = {{{Processing Matters in Nutrient-Matched Laboratory Diets for Mice—Energy and Nutrient Digestibility}}}, doi = {{10.3390/ani11020523}}, volume = {{11}}, year = {{2021}}, } @article{1722, abstract = {{Granular activated carbon (GAC) adsorption, as well as ozonation in combination with biodegradation was investigated in order to remove refractory organics from biologically pre-treated process waters (PW) produced by the hydrothermal carbonization (HTC) of spent grains and fine mulch. Kinetic tests revealed that the organics in spent grains PW had much lower molecular weights than organics in fine mulch PW. Moreover, isotherms showed that they were more strongly adsorbable. This was confirmed in GAC column experiments, where the breakthrough curves could be predicted fairly well by a dynamic adsorption model. On the other hand, ozonation had a stronger effect on fine mulch PW with respect to an enhancement of the aerobic degradability. Thus, the type of input material determines the properties of soluble reaction products from the carbonization process that must be accounted for when selecting the most suitable post-treatment method for HTC PW. However, adsorption on granular activated carbon should always be the final stage.}}, author = {{Fettig, Joachim Hans Otto and Austermann-Haun, Ute and Meier, Jan-Felix and Busch, Anna and Gilbert, Eva}}, issn = {{2073-4441}}, journal = {{Water}}, keywords = {{HTC process water, post-treatment, refractory organics, activated carbon adsorption, ozonation}}, number = {{4}}, publisher = {{MDPI}}, title = {{{Options for Removing Refractory Organic Substances in Pre-Treated Process Water from Hydrothermal Carbonization}}}, doi = {{10.3390/w11040730}}, volume = {{11}}, 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}}, } @article{2012, abstract = {{The rapid growth of optical imaging technologies increased the access and collection of data, which boosts the demand of data and knowledge discovery. This is a fast growing topic in several industry and research areas. Nowadays, a large number of images and signals must be analysed in order to gain and learn proper knowledge. Detecting images with similar contents without specifying an image, recently attracts the researches in image processing domain. 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 solve this problem by converting images into one dimensional time series in a pre-processing step and then applying a motif discovery on these one dimensional time series for image motifs detection. Nevertheless, this conversion might lead to information loss and also the problem of inability to discover shifted and multi-scale image motifs of different size. Contrary to other approaches, here, a method is proposed to find image motifs of different size in image data sets by employing images in original dimension (2D) without converting them to one dimensional time series. The proposed approach consists of three steps: Mapping or transformation, feature extraction and measuring similarities. First, images are inspected by the Complex Quad Tree Wavelet Packet transform, which provides broad frequency analysis of an image in various scales. Next, statistical features are extracted from the wavelet coefficients. Finally, image motifs are detected by measuring the similarity of the features applying various similarity measures. Here, the performance of six similarity measures are benchmarked in details. Moreover, the efficiency of the proposed method is demonstrated on a data set with images from diverse applications such as hand gesture, text recognition, leaf and plant identification, etc. Additionally, the robustness of this method is examined with the image data overlaying with distortions such as noise and blur.}}, author = {{Deppe, Sahar and Lohweg, Volker}}, issn = {{1942-2679}}, journal = {{International Journal On Advances in Intelligent Systems}}, keywords = {{processing, Wavelet transformation.}}, number = {{3/4}}, pages = {{434 -- 446}}, publisher = {{IARIA Journals}}, title = {{{Evaluation of Similarity Measures for Shift-Invariant Image Motif Discovery}}}, volume = {{10}}, 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{575, abstract = {{Additive manufacturing technologies can provide cost and time advantages in mold making, compared to traditional approaches. Nevertheless, their applicability is not yet completely proven, especially in terms of surface finishing. The aim of this research work is to create perfect mold inserts by Selective Laser Melting (SLM) and to optimize surface quality. Therefore a process is developed to reduce the effort of surface quality optimization including a high flexibility in design. The tested process shows that simple and affordable methods can lead to usable molds with only minor restrictions in terms of appearance. Due to the initial reduction of layer thicknesses and distinct settings of laser melting parameters, the surface smoothness is significantly enhanced during the SLM building process. Subsequently blasting, manual grinding, as well as polishing operations, enable a selective smoothening of the surface up to a polished finish. As a result, the built tool parts can be used instantly for injection molding.}}, author = {{Elstermeyer, O. and Villmer, Franz-Josef}}, booktitle = {{Production Engineering and Management}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-946856-01-6}}, keywords = {{Tool making, Direct rapid tooling, Additively manufactured molds, Selective laser melting, Additive manufacturing process chain, Post-processing}}, location = {{Pordenone, Italy}}, number = {{1}}, pages = {{101--113}}, title = {{{SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization}}}, year = {{2017}}, } @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}}, } @book{4336, abstract = {{Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.}}, editor = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}}, isbn = {{978-3-319-16225-6}}, issn = {{1611-3349}}, keywords = {{HCI, ambient assisted living, big data, computational intelligence, context awareness, data centric medicine, decision support, interactive data mining, keyword detection, knoweldge bases, knoweldge discovery, machine learning, medical decision support, medical informatics, natural language processing, pervasive health, smart home, ubiquitous computing, visualization, wearable sensors}}, pages = {{275}}, publisher = {{Springer}}, title = {{{Smart Health: Open Problems and Future Challenges}}}, doi = {{10.1007/978-3-319-16226-3}}, volume = {{8700}}, year = {{2015}}, } @misc{1158, abstract = {{This thesis is a concept how to build up a media archive for the department of media production of University of Applied Science in Lemgo. It serves two purposes, the perma-nent storage of media data and forms a base to allow the creation of high quality presen-tation material. It contains an analysis of the current situation concerning collecting, storing and processing media data as well as ideas to alter the system. Furthermore guidelines are developed for diverse areas, e.g. data management, data storage and or-ganisation. The aim of this project is to improve public relations and therefore the image and exterior view of the department.}}, author = {{Bandeck, Stefan}}, keywords = {{Media archive, MIA, public relations, data management, data storage, data processing}}, pages = {{76}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Media Archive (MIA) 2011}}}, 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}}, }