@article{34070, author = {{Schramm, Britta and Harzheim, Sven and Weiß, Deborah and Joy, Tintu David and Hofmann, Martin and Mergheim, Julia and Wallmersperger, Thomas}}, issn = {{2666-3309}}, journal = {{Journal of Advanced Joining Processes}}, keywords = {{Mechanical Engineering, Mechanics of Materials, Engineering (miscellaneous), Chemical Engineering (miscellaneous)}}, publisher = {{Elsevier BV}}, title = {{{A Review on the Modeling of the Clinching Process Chain - Part III: Operational Phase}}}, doi = {{10.1016/j.jajp.2022.100135}}, year = {{2022}}, } @article{31238, author = {{Kupfer, Robert and Köhler, Daniel and Römisch, David and Wituschek, Simon and Ewenz, Lars and Kalich, Jan and Weiß, Deborah and Sadeghian, Behdad and Busch, Matthias and Krüger, Jan Tobias and Neuser, Moritz and Grydin, Olexandr and Böhnke, Max and Bielak, Christian-Roman and Troschitz, Juliane}}, issn = {{2666-3309}}, journal = {{Journal of Advanced Joining Processes}}, keywords = {{Mechanical Engineering, Mechanics of Materials, Engineering (miscellaneous), Chemical Engineering (miscellaneous)}}, publisher = {{Elsevier BV}}, title = {{{Clinching of Aluminum Materials – Methods for the Continuous Characterization of Process, Microstructure and Properties}}}, doi = {{10.1016/j.jajp.2022.100108}}, year = {{2022}}, } @inbook{29771, author = {{Grydin, Olexandr and Mortensen, Dag and Neuser, Moritz and Lindholm, Dag and Fjaer, Hallvard G. and Schaper, Mirko}}, booktitle = {{Light Metals 2022}}, isbn = {{9783030925284}}, issn = {{2367-1181}}, publisher = {{Springer International Publishing}}, title = {{{Numerical and Experimental Investigation of Heat Transfer in the Solidification-Deformation Zone During Twin-Roll Casting of Aluminum Strips}}}, doi = {{10.1007/978-3-030-92529-1_96}}, year = {{2022}}, } @inproceedings{51262, abstract = {{The manufacturing domain is exposed to a continuous change of the requirements towards the IT infrastructure and the flexibility in Industry 4.0. In order to achieve a highly reliable production system, predictive maintenance and additive sensing have been implemented and will be complemented by further applications such as Augmented Reality. As the applications may be required ad-hoc at any time, the dynamic resource utilization of networking and computational resources needs to be managed. In the long-term, the planning of the infrastructure affects the available resources and thus the efficiency and reliability of the short-term resource management. This paper suggests an architecture that combines short- and long-term aspects of the resource utilization and previews how the infrastructure and opportunity costs can be optimized by the joint approach.}}, author = {{Neumann, Arne and Illian, Marvin and Hardes, Tobias and Martenvormfelde, Lukas and Wisniewski, Lukasz and Jasperneite, Jürgen}}, booktitle = {{18th IEEE International Workshop on Factory Communication Systems (WFCS)}}, location = {{Virtual}}, publisher = {{IEEE}}, title = {{{An Architecture Concept for Short- and Long-term Resource Planning in the Industry 4.0 Environment}}}, doi = {{10.1109/WFCS53837.2022.9779161}}, year = {{2022}}, } @inbook{41257, author = {{Bürgel, Christoph}}, booktitle = {{Mündlichkeit im Französischunterricht: Multiperspektivische Zugänge}}, editor = {{Konzett-Firth, Carmen and Wojnesitz, Alexandra}}, pages = {{115--134}}, publisher = {{Narr }}, title = {{{Mündlichkeit in deutschen Französischlehrwerken am Beispiel von Phrasemen der gesprochenen Sprache}}}, year = {{2022}}, } @book{65710, author = {{Stoppel, Hans-Jürgen and Griese, Birgit}}, isbn = {{9783662637432}}, issn = {{2626-613X}}, publisher = {{Springer Berlin Heidelberg}}, title = {{{Übungsbuch zur Linearen Algebra}}}, doi = {{10.1007/978-3-662-63744-9}}, year = {{2022}}, } @inbook{65758, author = {{Ballweg, Sandra}}, booktitle = {{Standortbestimmungen in der Fremdsprachenforschung}}, editor = {{Wilden, Eva and Alfes, Luisa and Cantone, Katja and Çıkrıkçı, Sevgi and Daniel, Reimann}}, pages = {{42--55}}, publisher = {{Schneider bei wbv}}, title = {{{Einige Überlegungen zu physischen, digitalen und sozialen Räumen für die Fremd- und Zweitsprachenaneig-nung}}}, year = {{2022}}, } @techreport{65833, author = {{Eberhartinger, Eva and Safei, Reyhaneh and Sureth-Sloane, Caren and Wu, Yuchen}}, title = {{{Is Risk Profiling in Tax Audit Case Selection Rewarded? An Analysis of Corporate Tax Avoidance}}}, year = {{2022}}, } @techreport{37088, abstract = {{We examine variation in mandatory CSR reporting practices based on a large sample of non-publicly listed savings banks in Germany. They do not have typical shareholders but rather are established by municipal trustees and can serve clients only in their distinct operating area. This setting permits us to identify demand for CSR information by their main stakeholder groups – municipal trustees and private and corporate clients. In this way, our analysis focuses on the double-materiality approach to CSR reporting. We find that demand for CSR information by supervisory board chairperson belonging to a left-wing or green party and the presence of more supervisory board members belonging to a left-wing or green party are associated with longer CSR reports and more disclosure on environmental, social, employee and human rights matters. In addition, competition for private clients and the sustainability orientation of corporate clients are associated with longer reports and more disclosure on environmental, employee and human rights matters. These findings suggest that savings banks’ CSR reports cater to their principal stakeholders’ demand for CSR information.}}, author = {{Gulenko, Maryna and Kohlhase, Saskia and Kosi, Urska}}, keywords = {{Corporate social responsibility, Mandatory reporting, Non-publicly listed banks, Double materiality, Stakeholder groups, Political influence}}, title = {{{CSR Reporting under the Non-Financial Reporting Directive: Evidence from Non-publicly Listed Firms}}}, doi = {{10.2139/ssrn.4040946}}, year = {{2022}}, } @inproceedings{65890, author = {{Herold-Blasius, Raja and Rott, Benjamin}}, booktitle = {{Twelfth Congress of the European Society for Research in Mathematics Education (CERME12)}}, location = {{Bozen-Bolzano}}, pages = {{452--459}}, title = {{{Low-achieving secondary students learn mathematical problem solving. A longitudinal, qualitative video study}}}, year = {{2022}}, } @inproceedings{66265, author = {{Chen, Kuan-Hsun and Günzel, Mario and Jablkowski, Boguslaw and Buschhoff, Markus and Chen, Jian-Jia}}, booktitle = {{34th Euromicro Conference on Real-Time Systems (ECRTS 2022)}}, editor = {{Maggio, Martina}}, isbn = {{978-3-95977-239-6}}, issn = {{1868-8969}}, pages = {{6:1–6:22}}, publisher = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}}, title = {{{Unikernel-Based Real-Time Virtualization Under Deferrable Servers: Analysis and Realization}}}, doi = {{10.4230/LIPIcs.ECRTS.2022.6}}, volume = {{231}}, year = {{2022}}, } @inproceedings{66262, author = {{Hahn, Sebastian and Jacobs, Michael and Hölscher, Nils and Chen, Kuan-Hsun and Chen, Jian-Jia and Reineke, Jan}}, booktitle = {{20th International Workshop on Worst-Case Execution Time Analysis (WCET 2022)}}, editor = {{Ballabriga, Clément}}, isbn = {{978-3-95977-244-0}}, issn = {{2190-6807}}, pages = {{2:1–2:17}}, publisher = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}}, title = {{{LLVMTA: An LLVM-Based WCET Analysis Tool}}}, doi = {{10.4230/OASIcs.WCET.2022.2}}, volume = {{103}}, year = {{2022}}, } @inproceedings{66224, author = {{Freymann, Raphael and Shi, Junjie and Chen, Jian-Jia and Chen, Kuan-Hsun}}, booktitle = {{2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC)}}, publisher = {{IEEE}}, title = {{{Renovation of EdgeCloudSim: An Efficient Discrete-Event Approach}}}, doi = {{10.1109/fmec54266.2021.9732572}}, year = {{2022}}, } @article{66203, abstract = {{For timing-sensitive edge applications, the demand for efficient lightweight machine learning solutions has increased recently. Tree ensembles are among the state-of-the-art in many machine learning applications. While single decision trees are comparably small, an ensemble of trees can have a significant memory footprint leading to cache locality issues, which are crucial to performance in terms of execution time. In this work, we analyze memory-locality issues of the two most common realizations of decision trees, i.e., native and if-else trees. We highlight that both realizations demand a more careful memory layout to improve caching behavior and maximize performance. We adopt a probabilistic model of decision tree inference to find the best memory layout for each tree at the application layer. Further, we present an efficient heuristic to take architecture-dependent information into account thereby optimizing the given ensemble for a target computer architecture. Our code-generation framework, which is freely available on an open-source repository, produces optimized code sessions while preserving the structure and accuracy of the trees. With several real-world data sets, we evaluate the elapsed time of various tree realizations on server hardware as well as embedded systems for Intel and ARM processors. Our optimized memory layout achieves a reduction in execution time up to 75 % execution for server-class systems, and up to 70 % for embedded systems, respectively.}}, author = {{Chen, Kuan-Hsun and Su, Chiahui and Hakert, Christian and Buschjäger, Sebastian and Lee, Chao-Lin and Lee, Jenq-Kuen and Morik, Katharina and Chen, Jian-Jia}}, issn = {{1539-9087}}, journal = {{ACM Transactions on Embedded Computing Systems}}, number = {{6}}, pages = {{1--26}}, publisher = {{Association for Computing Machinery (ACM)}}, title = {{{Efficient Realization of Decision Trees for Real-Time Inference}}}, doi = {{10.1145/3508019}}, volume = {{21}}, year = {{2022}}, } @article{66209, abstract = {{For timing-sensitive edge applications, the demand for efficient lightweight machine learning solutions has increased recently. Tree ensembles are among the state-of-the-art in many machine learning applications. While single decision trees are comparably small, an ensemble of trees can have a significant memory footprint leading to cache locality issues, which are crucial to performance in terms of execution time. In this work, we analyze memory-locality issues of the two most common realizations of decision trees, i.e., native and if-else trees. We highlight that both realizations demand a more careful memory layout to improve caching behavior and maximize performance. We adopt a probabilistic model of decision tree inference to find the best memory layout for each tree at the application layer. Further, we present an efficient heuristic to take architecture-dependent information into account thereby optimizing the given ensemble for a target computer architecture. Our code-generation framework, which is freely available on an open-source repository, produces optimized code sessions while preserving the structure and accuracy of the trees. With several real-world data sets, we evaluate the elapsed time of various tree realizations on server hardware as well as embedded systems for Intel and ARM processors. Our optimized memory layout achieves a reduction in execution time up to 75 % execution for server-class systems, and up to 70 % for embedded systems, respectively.}}, author = {{Chen, Kuan-Hsun and Su, Chiahui and Hakert, Christian and Buschjäger, Sebastian and Lee, Chao-Lin and Lee, Jenq-Kuen and Morik, Katharina and Chen, Jian-Jia}}, issn = {{1539-9087}}, journal = {{ACM Transactions on Embedded Computing Systems}}, number = {{6}}, pages = {{1--26}}, publisher = {{Association for Computing Machinery (ACM)}}, title = {{{Efficient Realization of Decision Trees for Real-Time Inference}}}, doi = {{10.1145/3508019}}, volume = {{21}}, year = {{2022}}, } @article{66202, abstract = {{ In-memory wear-leveling has become an important research field for emerging non-volatile main memories over the past years. Many approaches in the literature perform wear-leveling by making use of special hardware. Since most non-volatile memories only wear out from write accesses, the proposed approaches in the literature also usually try to spread write accesses widely over the entire memory space. Some non-volatile memories, however, also wear out from read accesses, because every read causes a consecutive write access. Software-based solutions only operate from the application or kernel level, where read and write accesses are realized with different instructions and semantics. Therefore different mechanisms are required to handle reads and writes on the software level. First, we design a method to approximate read and write accesses to the memory to allow aging aware coarse-grained wear-leveling in the absence of special hardware, providing the age information. Second, we provide specific solutions to resolve access hot-spots within the compiled program code (text segment) and on the application stack. In our evaluation, we estimate the cell age by counting the total amount of accesses per cell. The results show that employing all our methods improves the memory lifetime by up to a factor of 955×. }}, author = {{Hakert, Christian and Chen, Kuan-Hsun and Schirmeier, Horst and Bauer, Lars and Genssler, Paul R. and von der Brüggen, Georg and Amrouch, Hussam and Henkel, Jörg and Chen, Jian-Jia}}, issn = {{1539-9087}}, journal = {{ACM Transactions on Embedded Computing Systems}}, number = {{1}}, pages = {{1--24}}, publisher = {{Association for Computing Machinery (ACM)}}, title = {{{Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory}}}, doi = {{10.1145/3483839}}, volume = {{21}}, year = {{2022}}, } @inproceedings{66210, author = {{Chen, Kuan-Hsun and Gunzel, Mario and von der Bruggen, Georg and Chen, Jian-Jia}}, booktitle = {{2022 IEEE Real-Time Systems Symposium (RTSS)}}, publisher = {{IEEE}}, title = {{{Critical Instant for Probabilistic Timing Guarantees: Refuted and Revisited}}}, doi = {{10.1109/rtss55097.2022.00022}}, year = {{2022}}, } @inbook{66213, author = {{Kotthaus, Helena and Marwedel, Peter and Yayla, Mikail and Buschjäger, Sebastian and Amrouch, Hussam and Chen, Kuan-Hsun}}, booktitle = {{Fundamentals}}, isbn = {{9783110785944}}, publisher = {{De Gruyter}}, title = {{{7 Memory Awareness}}}, doi = {{10.1515/9783110785944-007}}, year = {{2022}}, } @inproceedings{66211, author = {{Gunzel, Mario and von der Bruggen, Georg and Chen, Kuan-Hsun and Chen, Jian-Jia}}, booktitle = {{2022 IEEE Real-Time Systems Symposium (RTSS)}}, publisher = {{IEEE}}, title = {{{EDF-Like Scheduling for Self-Suspending Real-Time Tasks}}}, doi = {{10.1109/rtss55097.2022.00024}}, year = {{2022}}, } @article{66180, author = {{Hakert, Christian and Khan, Asif Ali and Chen, Kuan-Hsun and Hameed, Fazal and Castrillon, Jeronimo and Chen, Jian-Jia}}, issn = {{0018-9340}}, journal = {{IEEE Transactions on Computers}}, number = {{5}}, pages = {{1488--1502}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{ROLLED: Racetrack Memory Optimized Linear Layout and Efficient Decomposition of Decision Trees}}}, doi = {{10.1109/tc.2022.3197094}}, volume = {{72}}, year = {{2022}}, }