@article{ChaurasiaGoeckeDe2023, author = {Chaurasia, Prashtan Kumar and Goecke, Sven-Frithjof and De, Amitava}, title = {Monitoring melt pool asymmetry in gas metal arc-directed energy deposition}, series = {Science and Technology of Welding and Joining}, journal = {Science and Technology of Welding and Joining}, number = {Augabe 5/ Band 28}, publisher = {Taylor and Fracis}, issn = {1362-1718 (PRINT)}, doi = {10.1080/13621718.2023.2168933}, pages = {424 -- 432}, year = {2023}, language = {en} } @article{GoeckeMakwanaShomeetal.2019, author = {Goecke, Sven-Frithjof and Makwana, Pinaac and Shome, Mahadev and De, Amitava}, title = {Probing joint strength and distortion in gas metal arc lap joining of aluminum and steel sheets}, series = {Welding in the World}, volume = {63}, journal = {Welding in the World}, number = {2}, publisher = {Springer}, doi = {10.1007/s40194-018-0653-z}, pages = {229 -- 236}, year = {2019}, language = {en} } @article{FranzKhatami2020, author = {Franz, Robert U. and Khatami, Pouyan}, title = {SAP-Ausbildung - Digitalisierung und Pandemie als Herausforderung}, series = {ERP Management}, journal = {ERP Management}, number = {16/2020}, publisher = {GITO mbH Verlag}, issn = {1860-6725}, doi = {10.30844/ERP_20-4_53-55}, pages = {53 -- 55}, year = {2020}, abstract = {Unternehmen und Unternehmens-IT stehen im Zeitalter der Digitalisierung vor großen Umbr{\"u}chen. Gesch{\"a}ftsprozesse und die eingesetzten IT-Systemlandschaften ver{\"a}ndern sich im schnellen Takt, teilweise werden erprobte Gesch{\"a}ftsmodelle disruptiv durch v{\"o}llig neue Technologien erg{\"a}nzt oder gar ersetzt. Dieses schnelllebige Umfeld erfordert eine intensive und qualitativ hochwertige Ausbildung der Mitarbeiter. Pr{\"a}senzschulungen sind in Zeiten der Corona-Pandemie aber schwer zu realisieren. Wie eine praxisnahe und Fallstudien-basierte Ausbildung im ERP-Kontext trotzdem m{\"o}glich ist, zeigt das E-Learning-basierte Programm erp4students der Technischen Hochschule Brandenburg am Beispiel von 13 Modulen im Umfeld neuester SAP-Technologien.}, language = {de} } @inproceedings{GoeckeSeefeldTyrallaetal.2019, author = {Goecke, Sven-Frithjof and Seefeld, T. and Tyralla, Dieter and Krug, A.}, title = {Monitoring and Control of the Heat Input in MAG-Laser-Hybrid Welding of High Strength Steel in Telescopic Crane Booms}, series = {Konferenz: IEEE International Conference on Automation Science and Engineering (CASE), 2019/ Titel: 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE): August 22-26, 2019, Vancouver, BC, Canada}, booktitle = {Konferenz: IEEE International Conference on Automation Science and Engineering (CASE), 2019/ Titel: 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE): August 22-26, 2019, Vancouver, BC, Canada}, publisher = {IEEE}, address = {Piscataway, New Jersey}, isbn = {978-1-72810-355-6}, doi = {10.1109/COASE.2019.8843219}, year = {2019}, language = {en} } @incollection{ScheegScheegThimm2019, author = {Scheeg, Jochen and Scheeg, Michaela and Thimm, Tobias}, title = {Die Digitalisierung nutzerzentriert gestalten: Das digitale Kontrollzentrum f{\"u}r die Warenannahme}, series = {Arbeit 4.0 im Mittelstand}, booktitle = {Arbeit 4.0 im Mittelstand}, editor = {Bosse, Christian K.}, publisher = {Springer Gabler}, address = {Berlin}, isbn = {978-3-662-59473-5 (Print)}, doi = {10.1007/978-3-662-59474-2_14}, publisher = {Technische Hochschule Brandenburg}, pages = {239 -- 251}, year = {2019}, subject = {Arbeitswelt}, language = {de} } @article{MakwanaGoeckeDe2019, author = {Makwana, Pinaac and Goecke, Sven-Frithjof and De, Amitava}, title = {Real-time heat input monitoring towards robust GMA brazing}, series = {Science and Technology of Welding \& Joining}, volume = {24}, journal = {Science and Technology of Welding \& Joining}, number = {1}, publisher = {Taylor \& Francis}, doi = {10.1080/13621718.2018.1470290}, pages = {1 -- 11}, year = {2019}, language = {en} } @article{ScheegScheeg2019, author = {Scheeg, Jochen and Scheeg, Manuela}, title = {Digitale L{\"o}sungen passend f{\"u}r den Nutzer gestalten}, series = {Wissenschaft trifft Praxis : Usability betrieblicher IT-Anwendungen}, journal = {Wissenschaft trifft Praxis : Usability betrieblicher IT-Anwendungen}, number = {11.2019}, publisher = {Begleitforschung Mittelstand-Digital}, issn = {2198-8544}, pages = {32 -- 38}, year = {2019}, language = {de} } @inproceedings{BollowFroschGrunzetal.2024, author = {Bollow, Maximilian and Frosch, Katharina and Grunz, Angelina and H{\"a}dicke, Svenja and Judge, Rabina and Levina, Olga}, title = {Using Advanced Learning Technologies to Boost Sustainability Education: The Role of AI-based Chatbots}, series = {EDEN 2024 Annual Conference, University of Graz, Graz, Austria, 2024}, booktitle = {EDEN 2024 Annual Conference, University of Graz, Graz, Austria, 2024}, pages = {92 -- 93}, year = {2024}, abstract = {In the face of the 2030 Agenda of the United Nations, the everchanging knowledge base of sustainability and therelated learning become vital. This applies especially to the field of sustainable digitalization. The literature providesgaps in the combination of sustainable digitalization with learning, due to the rapid developments and innovationsin this field.AI-based Chatbots could be a solution to rapidly build knowledge in this fast-evolving field, as they are able to drawupon a large body of recent knowledge and allow personalized, individual learning. They are created to understandquestions and respond to users via text, voice, or avatar in an interactive manner to facilitate learning (AI-Abdullatif,2023). Thus, AI-based Chatbots could enhance student-centered e-learning, which has shown to be a valuable toolfor sustainability literacy (Diamond \& Irwin, 2013). Nonetheless, existing research does not yet provide sufficientevidence on what learning outcomes (e.g., knowledge acquisition) can be achieved with this AI-based approach tolearning. Therefore, it is crucial for us to determine whether and how they can be effectively utilized for this purpose.In this study, we examine the impact of AI-based Chatbots on learning outcomes in the context of sustainabledigitalization, in comparison to conventional digital learning methods. We conduct a field experiment with a pre-and post-test assessing the respective level of knowledge and sustainability-related competencies amongparticipants. The participants of the study (N=269) engage with different types of supported learning activitiesrelated to sustainable development. Participants are randomly assigned to one of four advanced learningtechnologies: a) AI-assisted personal tutoring (Chatbot), b) non-AI-based conversational learning and c) interactivevideo with embedded activities. Variations in learning outcomes depending on design characteristics of the learningactivity will be measured using the Self-Perceived Action Competence for Sustainability Questionnaire (SPACS-Q)(Olsson et al., 2020) as well as as well as a set of questions to assess knowledge retention.Results indicate that AI-based chatbots may be a viable method to enhance knowledge about practices in sustainabledigitalization. However, sustainability action competencies, such as confidence in one's own influence on shaping amore sustainable future and the willingness to undertake concrete actions, which may require higher-order learningprocesses, are not positively affected by short learning activities with our AI-based chatbot. We found evidence thatnon-AI-based learning activities yield similar increases in building knowledge on sustainable digitalization but alsosignificantly enhance sustainability action competencies related to potential behavioral changes.What does learner-centered pedagogy look like in reimagining the digital classroom of the future?93Assuming that our results are generalizable to other learning topics, the evidence found in this study suggests thatAI-based chatbots can contribute to addressing our most significant transformational challenges, all characterizedby a rapidly evolving knowledge base. Further research is particularly needed with respect to the preferable designcharacteristics of digital learning activities (both AI-based and non-AI-based) to achieve optimal outcomes in buildingsustainability competencies.}, language = {en} } @article{KuznetsovFroripSuenteretal.2023, author = {Kuznetsov, Arthur and Frorip, Aleksandr and S{\"u}nter, Alar and Kasvand, Nensi and Korsakov, Vadim and Konoplev, Georgii and Stepanova, Oksana and Rusalepp, Linda and Anton, Dea and P{\"u}ssa, T{\~o}nu and Roasto, Mati and Abramova, Liubov and Kozin, Andrey and Toom, Lauri and Hirsch, S{\"o}ren and Mukhin, Nikolay}, title = {Fast Protein and Metabolites (Nucleotides and Nucleosides) Liquid Chromatography Technique and Chemical Sensor for the Assessment of Fish and Meat Freshness}, series = {Chemosensors}, journal = {Chemosensors}, number = {1/2023 / Band 11}, editor = {mdpi,}, publisher = {MDPI}, issn = {2227-9040}, doi = {10.3390/chemosensors11010069}, pages = {69}, year = {2023}, abstract = {Fast protein and metabolite liquid chromatography (FPLMC) was introduced years ago to enable the easy separation of high-molecular compounds such as proteins from small molecules and the identification of the low-molecular substances. In this paper, the method is applied for the rapid evaluation of freshness and monitoring the aging of animal meat and fish. A novel chromatographic sensor was developed with a deep UV LED-based photometric detection unit (255-265 nm), an original flow cuvette and registration scheme; the processing of a chromatogram with the sensor takes approximately 15 min. Strict isochronism between the elution of ATP metabolites, mainly hypoxanthine (Hx) and inosine monophosphate (IMP), and the time of maturation of meat or fish, was discovered. A new freshness index H* = [Hx]/[IMP] was introduced, which is proportional to the instrumental delay time in the FPMLC chromatograms: the H* index < 0.5 indicates the presence of inosine monophosphate (IMP) and the high quality of the meat or fish. Reasonably strong correlations were revealed between data obtained by FPMLC and total volatile basic nitrogen TVB-N (for fish) or volatile fatty acids VFA (for meat) content. Moreover, putative nucleotide salvage and an increase in the concentration of IMP were observed in fish after heat treatment using the FPMLC sensor and NMR technique.}, language = {en} } @article{KuznetsovFroripSuenteretal.2022, author = {Kuznetsov, Artur and Frorip, Aleksandr and S{\"u}nter, Alar and Korsakov, Vadim and Konoplev, Georgii and Stepanova, Oksana and Roschina, Natalia and Ovsyannikov, Nikolay and Lialin, Daniil and Gerasimchuk, Roman and Dmitriev, Alexander and Mukhin, Nikolay and Hirsch, S{\"o}ren}, title = {Optical Chemical Sensor Based on Fast-Protein Liquid Chromatography for Regular Peritoneal Protein Loss Assessment in End-Stage Renal Disease Patients on Continuous Ambulatory Peritoneal Dialysis}, series = {Chemosensors}, volume = {10}, journal = {Chemosensors}, number = {6}, publisher = {MDPI}, doi = {10.3390/chemosensors10060232}, year = {2022}, language = {en} } @article{KonoplevAgafonovaBakhchovaetal.2022, author = {Konoplev, Georgii and Agafonova, Darina and Bakhchova, Liubov and Mukhin, Nikolay and Kurachkina, Marharyta and Schmidt, Marc-Peter and Verlov, Nikolay and Sidorov, Alexander and Oseev, Aleksandr and Stepanova, Oksana and Kozyrev, Andrey and Dmitriev, Alexander and Hirsch, S{\"o}ren}, title = {Label-Free Physical Techniques and Methodologies for Proteins Detection in Microfluidic Biosensor Structures}, series = {Biomedicines}, volume = {10}, journal = {Biomedicines}, number = {2}, publisher = {MDPI}, issn = {2227-9059}, doi = {10.3390/biomedicines10020207}, pages = {207}, year = {2022}, language = {en} } @article{MukhinSokolovaChigirevetal.2020, author = {Mukhin, Nikolay and Sokolova, Irina and Chigirev, Dmitry and Rudaja, Lyudmila and Lebedeva, Galina and Kastro, Rene and Bol'shakov, Maxim and Schmidt, Marc-Peter and Hirsch, S{\"o}ren}, title = {Composite Ferroelectric Coatings Based on a Heat-Resistant Polybenzoxazole Polymer Matrix}, series = {Coatings}, volume = {10}, journal = {Coatings}, number = {3}, publisher = {Vincentz}, doi = {10.3390/coatings10030286}, pages = {286}, year = {2020}, language = {en} } @book{Franz2019, author = {Franz, Robert U.}, title = {PreLytica - Analysen und Ergebnisse}, number = {2}, edition = {1.}, publisher = {Shaker Verlag}, address = {Aachen}, isbn = {978-3-8440-7067-5}, pages = {286}, year = {2019}, language = {de} } @inproceedings{FranzKhatami2019, author = {Franz, Robert U. and Khatami, Taymaz}, title = {erp4students von SAP ERP zu SAP S/4HANA}, series = {Proceedings SAP Acadmic User Group Meeting 2019}, booktitle = {Proceedings SAP Acadmic User Group Meeting 2019}, publisher = {TU Wien}, address = {Wien}, isbn = {978-3-200-06598-7}, pages = {5}, year = {2019}, language = {de} } @inproceedings{FroschLindauerWinkel2024, author = {Frosch, Katharina and Lindauer, Friederike and Winkel, Carmen}, title = {Utilizing Chatbots for Automating Examinations in Higher Education: Perceived Fairness, Trust and Learning Outcomes}, series = {EDEN 2024 Annual Conference, University of Graz, Graz, Austria, 2024}, booktitle = {EDEN 2024 Annual Conference, University of Graz, Graz, Austria, 2024}, pages = {21 -- 22}, year = {2024}, abstract = {Large Language Models (LLM) are increasingly used to support educational assessment (Gonz{\´a}lez-Calatayud et al.,2021), offering a promising approach to addressing challenges associated with scalability, consistency, andpersonalized feedback that manual assessment implies (Fagbohun et al., 2024).Pre-configured interfaces for building custom chatbots based on common AI models provide a low-level approachfor educators to design their own AI-based examination tools that ask learners questions and provide feedback onthe answers. An example of a prototypical application - albeit based on a self-programmed interface - is Nitze's(2024) StudyBuddy, which simulates oral exams. Yet, the extent to which these AI-based exam assistants canautonomously conduct complete exam assessments—creating questions and evaluating and grading responseswithout manual oversight—is still largely unexplored. Despite the clear advantages, issues related to the quality ofthe generated content, the precision of assessments, ethical implications, and acceptance among learners persist assignificant concerns.This paper is a proof-of-concept study combined with a field experiment for an AI-based exam assistant based onthe StudyBuddy suggested by Nitze (2024). The exam assistant provides students with a set of quiz questions andcase studies based on an 80-page reader on topics in organizational behavior, offering personalized feedback andquestion-by-question scoring ranging from 0 to 100\%, along with an overall grade and personalized feedback. Toevaluate learning behavior and outcome (in the practice phase), perceived fairness (in the exam phase) and overalllearner acceptance, we run a field experiment with N=35 students enrolled in a business management program at atechnical university in Germany. They take part in a quiz assignment provided and graded by the exam assistant andsubsequently answer a survey with questions based on the Perceived Fairness scale (Sonnleitner \& Kovacs, 2020)and the Trust in Automated Systems Test (Wojton et al., 2020). Additionally, the learning outcomes are assessed ina retrospective pre-post design according to Drennan and Hyde (2008). Results will be available by the End of April2024.Insights gained from this study will shed light on the question whether custom chatbots can be effectively used forscalable, efficient assessment processes in higher education. As the ready-made interfaces already available requireminimal prerequisites and technical skills, they present an accessible opportunity for instructors to develop theirown AI-based examination tools, and to ease manual corrections, to guarantee consistent grading and to providestudents with individualized, constructive feedback on their solutions even in large courses where personalizedfeedback would not be possible when manual grading is used.The results of this study will shed light on whether customised chatbots can be effectively used for scalable, efficientassessment processes in higher education. The readily available interfaces, requiring minimal prerequisites andHow do we promote fairness in digital learning futures?22technical skills, enable educators to develop their own AI-based assessment tools. This would open opportunitiesfor educators to build their own AI-based assessment tools and facilitate manual corrections, ensure consistentgrading and provide students with individualised, constructive feedback, even in large courses where personalisedfeedback would not be possible with manual grading.}, language = {en} } @unpublished{WendzelCaviglioneMazurczyketal.2023, author = {Wendzel, Steffen and Caviglione, Luca and Mazurczyk, Wojciech and Mileva, Aleksandra and Dittmann, Jana and Kr{\"a}tzer, Christian and Lamsh{\"o}ft, Kevin and Vielhauer, Claus and Hartmann, Laura and Keller, J{\"o}rg and Neubert, Tom and Zillien, Sebastian}, title = {A Generic Taxonomy for Steganography Methods}, doi = {10.36227/techrxiv.20215373.v1}, year = {2023}, abstract = {A unified understanding of terms and their applicability is essential for every scientific discipline: steganography is no exception. Being divided into several domains (for instance, text steganography, digital media steganography, and network steganography), it is crucial to provide a unified terminology as well as a taxonomy that is not limited to some specific applications or areas. A prime attempt towards a unified understanding of terms was conducted in 2015 with the introduction of a pattern-based taxonomy for network steganography. Six years later, in 2021, the first work towards a pattern-based taxonomy for steganography was proposed. However, this initial attempt still faced several shortcomings, e.g., the lack of patterns for several steganography domains (the work mainly focused on network steganography and covert channels), various terminology issues, and the need of providing a tutorial on how the taxonomy can be used during engineering and scientific tasks, including the paper-writing process.
As the consortium who published this initial 2021-study on steganography patterns, in this paper we present the first comprehensive pattern-based taxonomy tailored to fit all known domains of steganography, including smaller and emerging areas, such as filesystem steganography and cyber-physical systems steganography. Besides, to make our contribution more effective and promote the use of the taxonomy to advance research on steganography, we also provide a thorough tutorial on its utilization.
Our pattern collection is available at https://patterns.ztt.hs-worms.de.
}, language = {en} } @unpublished{Frosch2019, author = {Frosch, Katharina}, title = {Open Design of HRM Instruments: new perspectives on people management in SMEs}, pages = {1 -- 35}, year = {2019}, abstract = {When it comes to human resource management (HRM), small and medium-sized enterprises (SMEs) primarily rely on informal approaches. Thereby, HR practitioners often listen to their guts feeling instead of using more systematic HR practices that are, as research evidence shows, more effective for attracting, motivating and retaining talented staff. This paper elaborates on the question how SMEs may profit from the design and implementation of evidence-based, systematic HRM instruments. The analysis focuses on the antecedents of the so called science-practitioner gap in HRM and why it is even more pronounced in SMEs as compared to larger companies. As a conclusion, we find that SMEs need to design HRM instruments that are systematic and evidence-based in their approach, but can be used by HR practitioners on an intuitive basis without ex ante training or cumbersome formal procedures. However, designing HRM instruments based on a so-called "walk-up-and-use" approach means beating new paths. Given the scarce resources for people management in SMEs, such innovative HRM instruments cannot be developed by a single SME alone. Therefore, the paradigm of open cooperation as it has been successfully applied in open source software (OSS) development is evaluated , in particular whether it can be transferred on the design of HRM instruments that take into account the specific needs of SMEs. First of all, we conceptualize a general framework how HR practitioners from SMEs and HR experts from business and academia can jointly develop Open HRM instruments. Then we discuss the social side of Open HRM, in particular why someone should contribute to Open HRM without receiving immediate profits, how to ensure the quality of openly developed HRM instruments and other gov-ernance issues. As a conclusion, we find that-despite a number of technical and social challenges that have to be overcome-Open HRM has a great potential in order to open up evidence-based HRM for SMEs.}, language = {de} } @incollection{LevinaMattern2023, author = {Levina, Olga and Mattern, Saskia}, title = {Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System}, series = {Recommender Systems: Legal and Ethical Issues}, booktitle = {Recommender Systems: Legal and Ethical Issues}, isbn = {978-3-031-34806-8}, doi = {10.1007/978-3-031-34804-4_9}, pages = {165 -- 185}, year = {2023}, abstract = {Laws are the reflection of the ethical and moral principles of the society. While the use of technology influences users' behavior in a pace that is affected by the technology introduction to the market, legal activities can be driven by the society as the results of such interactions. This scenario analysis- based research focuses on a classic but fictional food recommender system and the ethical issues that might occur from its usage. The recommender system is taken here as an example of machine learning-based systems (MLS) that can often be found in the individual, business and administrative applications. The research compares the existing legal solutions, with the focus on the GDPR legislation, and the discovered ethical issues. The ethical analysis is led along the ALTAI principles suggested by the European Commission, the common good approach as well as the general principles constituted in human rights. While the GDPR-based analysis showed that this data- and privacy-based legislation addressed most of the identified ethical issues, questions related to the common good approach in the context of environment and mobility that arise due to the wide spectrum of the MLS usage require further legal discussion. The application of the two approaches shows that conducting the ethical and legal analysis is beneficial for both the designers of such MLS as well as the legal actors. The findings can enhance the design and functions of a user-facing MLS as well as influence or validate legal activities.}, language = {en} } @inproceedings{OrlowskiKnauffMarquardt2025, author = {Orlowski, Maximilian and Knauff, Emilia and Marquardt, Florian}, title = {Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs}, series = {Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) , 2025, Porto, Portugal}, booktitle = {Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) , 2025, Porto, Portugal}, publisher = {SCITEPRESS}, doi = {10.5220/0013175600003890}, pages = {695 -- 706}, year = {2025}, abstract = {This paper presents a coaching assistant for network operator processes based on a Retrieval-Augmented Gen- eration (RAG) system leveraging open-source Large Language Models (LLMs) as well as Embedding Models. The system addresses challenges in employee onboarding and training, particularly in the context of increased customer contact due to more complex and extensive processes. Our approach incorporates domain-specific knowledge bases to generate precise, context-aware recommendations while mitigating LLM hallucination. We introduce our systems architecture to run all components on-premise in an our own datacenter, ensuring data security and process knowledge control. We also describe requirements for underlying knowledge doc- uments and their impact on assistant answer quality. Our system aims to improve onboarding accuracy and speed while reducing senior employee workload. The results of our study show that realizing a coaching assistant for German network operators is reasonable, when addressing performance, correctness, integration and locality. However current results regarding accu- racy do not yet meet the requirements for productive use.}, language = {en} } @inproceedings{Levina2023, author = {Levina, Olga}, title = {Operationalizing Ethics for Information Systems Design - A Tool for Ethical Software}, series = {Konferenz: Twenty-ninth Americas Conference on Information Systems (AMCIS), Panama, 2023}, booktitle = {Konferenz: Twenty-ninth Americas Conference on Information Systems (AMCIS), Panama, 2023}, pages = {4}, year = {2023}, abstract = {Propagation of information technology in the increasingly diverse domains, raises question concerning moral implications. While the number of ethical principles in the IT design is growing, they do not necessarily apply to specific products, which means developers and e.g. purchasing agent need to contextualize them for each specific IT product. This paper describes an actionable artifact that allows assessment of ethical non-functional requirements of an information system through operationalization of ethical values, Ethical Software Assessment Tool (ESAT). It is based on a survey of values that are currently considered in research and practice as well as in legal initiatives in IT context. The ethical approach and principles operationalized in ESAT are presented and discussed.}, language = {en} }