@article{SchmittFassbenderLuethetal.1999, author = {Schmitt, G. and Faßbender, F. and L{\"u}th, H. and Sch{\"o}ning, Michael Josef and Buss, G. and Kranzmann, A. and Gramberg, U.}, title = {Korrosionsschutzwirkung von Passivierungsschichten am Beispiel eines Mikroelektrodenarrays}, series = {Werkstoffe f{\"u}r die Energietechnik / Symposium 3}, journal = {Werkstoffe f{\"u}r die Energietechnik / Symposium 3}, publisher = {Wiley-VCH}, address = {Weinheim [u.a.]}, isbn = {3-527-29940-8}, pages = {345 -- 350}, year = {1999}, language = {de} } @inproceedings{SchmiegelKochDittmeretal.2010, author = {Schmiegel, A. and Koch, K. and Dittmer, M. and Braun, M. and Landau, M. and Dick, C. and Bragard, Michael and B{\"u}cenbender, K. and De Doncker, R.W.}, title = {Das Sol-ion System : ein System zur Optimierung des Eigenverbrauchs von PV-Strom}, series = {Photovoltaische Solarenergie : 25. Symposium ; 03. - 05. M{\"a}rz 2010, Kloster Banz, Bad Staffelstein. - (Wissen f{\"u}r Profis)}, booktitle = {Photovoltaische Solarenergie : 25. Symposium ; 03. - 05. M{\"a}rz 2010, Kloster Banz, Bad Staffelstein. - (Wissen f{\"u}r Profis)}, publisher = {OTTI, Ostbayerisches Technologie-Transfer-Inst.}, address = {Regensburg}, isbn = {978-3-941785-23-6}, pages = {354 -- 359}, year = {2010}, language = {de} } @inproceedings{SchmidtsKraftWinkensetal.2020, author = {Schmidts, Oliver and Kraft, Bodo and Winkens, Marvin and Z{\"u}ndorf, Albert}, title = {Catalog integration of low-quality product data by attribute label ranking}, series = {Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1}, booktitle = {Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1}, publisher = {SciTePress}, address = {Set{\´u}bal, Portugal}, isbn = {978-989-758-440-4}, doi = {10.5220/0009831000900101}, pages = {90 -- 101}, year = {2020}, abstract = {The integration of product data from heterogeneous sources and manufacturers into a single catalog is often still a laborious, manual task. Especially small- and medium-sized enterprises face the challenge of timely integrating the data their business relies on to have an up-to-date product catalog, due to format specifications, low quality of data and the requirement of expert knowledge. Additionally, modern approaches to simplify catalog integration demand experience in machine learning, word vectorization, or semantic similarity that such enterprises do not have. Furthermore, most approaches struggle with low-quality data. We propose Attribute Label Ranking (ALR), an easy to understand and simple to adapt learning approach. ALR leverages a model trained on real-world integration data to identify the best possible schema mapping of previously unknown, proprietary, tabular format into a standardized catalog schema. Our approach predicts multiple labels for every attribute of an inpu t column. The whole column is taken into consideration to rank among these labels. We evaluate ALR regarding the correctness of predictions and compare the results on real-world data to state-of-the-art approaches. Additionally, we report findings during experiments and limitations of our approach.}, language = {en} } @inproceedings{SchmidtsKraftWinkensetal.2021, author = {Schmidts, Oliver and Kraft, Bodo and Winkens, Marvin and Z{\"u}ndorf, Albert}, title = {Catalog integration of heterogeneous and volatile product data}, series = {DATA 2020: Data Management Technologies and Applications}, booktitle = {DATA 2020: Data Management Technologies and Applications}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-83013-7}, doi = {10.1007/978-3-030-83014-4_7}, pages = {134 -- 153}, year = {2021}, abstract = {The integration of frequently changing, volatile product data from different manufacturers into a single catalog is a significant challenge for small and medium-sized e-commerce companies. They rely on timely integrating product data to present them aggregated in an online shop without knowing format specifications, concept understanding of manufacturers, and data quality. Furthermore, format, concepts, and data quality may change at any time. Consequently, integrating product catalogs into a single standardized catalog is often a laborious manual task. Current strategies to streamline or automate catalog integration use techniques based on machine learning, word vectorization, or semantic similarity. However, most approaches struggle with low-quality or real-world data. We propose Attribute Label Ranking (ALR) as a recommendation engine to simplify the integration process of previously unknown, proprietary tabular format into a standardized catalog for practitioners. We evaluate ALR by focusing on the impact of different neural network architectures, language features, and semantic similarity. Additionally, we consider metrics for industrial application and present the impact of ALR in production and its limitations.}, language = {en} } @inproceedings{SchmidtsKraftSiebigterothetal.2019, author = {Schmidts, Oliver and Kraft, Bodo and Siebigteroth, Ines and Z{\"u}ndorf, Albert}, title = {Schema Matching with Frequent Changes on Semi-Structured Input Files: A Machine Learning Approach on Biological Product Data}, series = {Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS}, booktitle = {Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS}, isbn = {978-989-758-372-8}, doi = {10.5220/0007723602080215}, pages = {208 -- 215}, year = {2019}, language = {en} } @inproceedings{SchmidtsKraftSchreiberetal.2018, author = {Schmidts, Oliver and Kraft, Bodo and Schreiber, Marc and Z{\"u}ndorf, Albert}, title = {Continuously evaluated research projects in collaborative decoupled environments}, series = {2018 ACM/IEEE 5th International Workshop on Software Engineering Research and Industrial PracticePractice, May 29, 2018, Gothenburg, Sweden : SER\&IP' 18}, booktitle = {2018 ACM/IEEE 5th International Workshop on Software Engineering Research and Industrial PracticePractice, May 29, 2018, Gothenburg, Sweden : SER\&IP' 18}, publisher = {ACM}, address = {New York, NY}, pages = {1 -- 9}, year = {2018}, abstract = {Often, research results from collaboration projects are not transferred into productive environments even though approaches are proven to work in demonstration prototypes. These demonstration prototypes are usually too fragile and error-prone to be transferred easily into productive environments. A lot of additional work is required. Inspired by the idea of an incremental delivery process, we introduce an architecture pattern, which combines the approach of Metrics Driven Research Collaboration with microservices for the ease of integration. It enables keeping track of project goals over the course of the collaboration while every party may focus on their expert skills: researchers may focus on complex algorithms, practitioners may focus on their business goals. Through the simplified integration (intermediate) research results can be introduced into a productive environment which enables getting an early user feedback and allows for the early evaluation of different approaches. The practitioners' business model benefits throughout the full project duration.}, language = {en} } @inproceedings{SchmidtsBoltesKraftetal.2017, author = {Schmidts, Oliver and Boltes, Maik and Kraft, Bodo and Schreiber, Marc}, title = {Multi-pedestrian tracking by moving Bluetooth-LE beacons and stationary receivers}, series = {2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 18-21 September 2017, Sapporo, Japan}, booktitle = {2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 18-21 September 2017, Sapporo, Japan}, pages = {1 -- 4}, year = {2017}, language = {en} } @inproceedings{SchmidtKaschEichleretal.2021, author = {Schmidt, Thomas and Kasch, Susanne and Eichler, Fabian and Thurn, Laura}, title = {Process strategies on laser-based melting of glass powder}, series = {LiM 2021 proceedings}, booktitle = {LiM 2021 proceedings}, pages = {10 Seiten}, year = {2021}, abstract = {This paper presents the laser-based powder bed fusion (L-PBF) using various glass powders (borosilicate and quartz glass). Compared to metals, these require adapted process strategies. First, the glass powders were characterized with regard to their material properties and their processability in the powder bed. This was followed by investigations of the melting behavior of the glass powders with different laser wavelengths (10.6 µm, 1070 nm). In particular, the experimental setup of a CO2 laser was adapted for the processing of glass powder. An experimental setup with integrated coaxial temperature measurement/control and an inductively heatable build platform was created. This allowed the L-PBF process to be carried out at the transformation temperature of the glasses. Furthermore, the component's material quality was analyzed on three-dimensional test specimen with regard to porosity, roughness, density and geometrical accuracy in order to evaluate the developed L-PBF parameters and to open up possible applications.}, language = {en} } @misc{SchmidtJelinekBiselli1999, author = {Schmidt, Sebastian and Jelinek, Nanni and Biselli, Manfred}, title = {Verfahren zur Durchf{\"u}hrung von chemischen oder biologischen Reaktionen}, pages = {1 -- 12}, year = {1999}, language = {de} } @article{SchmidtHebel2009, author = {Schmidt, Rolf and Hebel, Christoph}, title = {Makroskopische Verkehrssimulationsmodelle in der kommunalen Planungspraxis}, series = {Stadt Region Land (2009)}, journal = {Stadt Region Land (2009)}, publisher = {RWTH Aachen}, address = {Aachen}, isbn = {0344-9645}, pages = {63 -- 72}, year = {2009}, language = {de} }