@inproceedings{50459, abstract = {{Organizations employ process mining to discover, check, or enhance process models based on data from information systems to improve business processes. Even though process mining is increasingly relevant in academia and organizations, achieving process mining excellence and generating business value through its application is elusive. Maturity models can help to manage interdisciplinary teams in their efforts to plan, implement, and manage process mining in organizations. However, while numerous maturity models on business process management (BPM) are available, recent calls for process mining maturity models indicate a gap in the current knowledge base. We systematically design and develop a comprehensive process mining maturity model that consists of five factors comprising 23 elements, which organizations need to develop to apply process mining sustainably and successfully. We contribute to the knowledge base by the exaptation of existing BPM maturity models, and validate our model through its application to a real-world scenario.}}, author = {{Brock, Jonathan and Löhr, Bernd and Brennig, Katharina and Seger, Thilo and Bartelheimer, Christian and von Enzberg, Sebastian and Kühn, Arno and Dumitrescu, Roman}}, booktitle = {{European Conference on Information Systems}}, title = {{{A Process Mining Maturity Model: Enabling Organizations to Assess and Improve their Process Mining Activities}}}, year = {{2023}}, } @inproceedings{49318, author = {{Tissen, Denis and Koldewey, Christian and Dumitrescu, Roman}}, location = {{Ljubljana, Slovenia}}, title = {{{A process-model for tailoring prototyping of cyber-physical systems}}}, year = {{2023}}, } @article{45485, author = {{Kruse, Stephan and Serino, Laura and Folge, Patrick Fabian and Echeverria Oviedo, Dana and Bhattacharjee, Abhinandan and Stefszky, Michael and Scheytt, J. Christoph and Brecht, Benjamin and Silberhorn, Christine}}, issn = {{1041-1135}}, journal = {{IEEE Photonics Technology Letters}}, keywords = {{Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials}}, number = {{14}}, pages = {{769--772}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{A Pulsed Lidar System With Ultimate Quantum Range Accuracy}}}, doi = {{10.1109/lpt.2023.3277515}}, volume = {{35}}, year = {{2023}}, } @inproceedings{47836, author = {{Ködding, Patrick and Koldewey, Christian and Dumitrescu, Roman}}, booktitle = {{Proceedings of the XXXII ISPIM Innovation Conference}}, title = {{{A Reference Process Model for Scenario-based Foresight}}}, year = {{2023}}, } @inbook{46867, author = {{Dieter, Peter}}, booktitle = {{Lecture Notes in Computer Science}}, isbn = {{9783031436116}}, issn = {{0302-9743}}, publisher = {{Springer Nature Switzerland}}, title = {{{A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows}}}, doi = {{10.1007/978-3-031-43612-3_14}}, year = {{2023}}, } @inproceedings{48228, author = {{Tölle, Laura and Slawinski, Elena and Fromm, Jennifer and Mirbabaie, Milad}}, title = {{{A Social Network Approach for Investigating Social Influences on Effective Use: Demonstration in Virtual Reality Collaboration}}}, year = {{2023}}, } @article{46310, abstract = {{Classic automated algorithm selection (AS) for (combinatorial) optimization problems heavily relies on so-called instance features, i.e., numerical characteristics of the problem at hand ideally extracted with computationally low-demanding routines. For the traveling salesperson problem (TSP) a plethora of features have been suggested. Most of these features are, if at all, only normalized imprecisely raising the issue of feature values being strongly affected by the instance size. Such artifacts may have detrimental effects on algorithm selection models. We propose a normalization for two feature groups which stood out in multiple AS studies on the TSP: (a) features based on a minimum spanning tree (MST) and (b) nearest neighbor relationships of the input instance. To this end we theoretically derive minimum and maximum values for properties of MSTs and k-nearest neighbor graphs (NNG) of Euclidean graphs. We analyze the differences in feature space between normalized versions of these features and their unnormalized counterparts. Our empirical investigations on various TSP benchmark sets point out that the feature scaling succeeds in eliminating the effect of the instance size. A proof-of-concept AS-study shows promising results: models trained with normalized features tend to outperform those trained with the respective vanilla features.}}, author = {{Heins, Jonathan and Bossek, Jakob and Pohl, Janina and Seiler, Moritz and Trautmann, Heike and Kerschke, Pascal}}, issn = {{0304-3975}}, journal = {{Theoretical Computer Science}}, keywords = {{Feature normalization, Algorithm selection, Traveling salesperson problem}}, pages = {{123--145}}, title = {{{A study on the effects of normalized TSP features for automated algorithm selection}}}, doi = {{https://doi.org/10.1016/j.tcs.2022.10.019}}, volume = {{940}}, year = {{2023}}, } @article{47009, abstract = {{We present a fully integrated radio frequency identifications transponder chip operating at 5.8 GHz, which is compatible with the class-1 generation-2 of the Electronic Product Code protocol (EPC-C1 G2). The tag chip including the analog front-end and the digital baseband processor, are designed in the sub-threshold regime (0.5 V) with a total supply current of less than 50 μA. As a power scavenging unit, a single-stage differential-drive rectifier structure is designed and fabricated with standard threshold voltage (SVT) MOS elements in a commercial 65-nm CMOS process, to provide 0.8 V of rectified voltage. Measurements performed on the fabricated single-stage structure show a maximum power conversion efficiency of 69.6% for a 22 kΩ load and a sensitivity of -12.5 dBm, which corresponds to more than 1 m of reading range. The power conversion efficiency at this range is about 64%.}}, author = {{Haddadian, Sanaz and Scheytt, J. Christoph and von Bögel, Gerd and Grenter, Thorben}}, issn = {{2469-7281}}, journal = {{ IEEE Journal of Radio Frequency Identification}}, publisher = {{IEEE}}, title = {{{A Sub-Threshold Microwave RFID Tag Chip, Compatible With RFID MIMO Reader Technology}}}, doi = {{10.1109/JRFID.2023.3308332}}, year = {{2023}}, } @article{47803, author = {{Cieply, Jonas and Disselkamp, Jan-Philipp and Dyck, Florian and Alturk, Waddah and Kühn, Arno and Dumitrescu, Roman}}, issn = {{2212-8271}}, journal = {{Procedia CIRP}}, keywords = {{General Medicine}}, pages = {{834--840}}, publisher = {{Elsevier BV}}, title = {{{A systematic literature review on the Digital Twin of the factory in the context of the product and factory lifecycle}}}, doi = {{10.1016/j.procir.2023.02.168}}, volume = {{119}}, year = {{2023}}, } @inproceedings{47129, author = {{Cord-Landwehr, Tobias and Boeddeker, Christoph and Zorilă, Cătălin and Doddipatla, Rama and Haeb-Umbach, Reinhold}}, booktitle = {{INTERSPEECH 2023}}, publisher = {{ISCA}}, title = {{{A Teacher-Student Approach for Extracting Informative Speaker Embeddings From Speech Mixtures}}}, doi = {{10.21437/interspeech.2023-1379}}, year = {{2023}}, }