@inproceedings{MoshnikovRykova2023, author = {Moshnikov, Ilia and Rykova, Eugenia}, title = {Little Big Data: Karelian Twitter Corpus}, series = {Proceedings of the 10th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2023), 14-15 September 2023, University of Mannheim, Germany}, booktitle = {Proceedings of the 10th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2023), 14-15 September 2023, University of Mannheim, Germany}, editor = {Cotgrove, Louis and Herzberg, Laura and L{\"u}ngen, Harald and Pisetta, Ines}, publisher = {Leibniz-Institut f{\"u}r Deutsche Sprache (IDS)}, address = {Mannheim}, isbn = {978-3-937241-95-1}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18018}, pages = {142 -- 147}, year = {2023}, abstract = {This paper investigates Karelian language visibility on Twitter and describes the first corresponding data collection using language-related keywords and hashtags. In total, 2626 entries written fully or partially in Livvi, South and Viena Karelian were scraped with Postman API. The visibility of Karelian on Twitter has been considerably increasing in the past few years, Livvi-Karelian being the most prominent dialect. The data were analysed linguistically (manually and with language detection software) and thematically. Although language-related topics are the most popular, there is a substantial number of entries in eight further topics. Applicability of the collected data for linguistic and sociological research, and further data collection considerations are discussed.}, language = {en} } @inproceedings{ZisselKissigSeeliger2012, author = {Zissel, Hardy and Kissig, Jan and Seeliger, Frank}, title = {New RFID-apps: HF-Based Stock Management by Mobile Solution and Producing Usage Statistics on Non-Lending Colleges (e.g. Periodicals)}, series = {2012 IATUL Proceedings}, booktitle = {2012 IATUL Proceedings}, publisher = {IATUL International Association of University Libraries}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20037}, pages = {8}, year = {2012}, abstract = {With this contribution we will provide an outline on new applications of RFID-utilization which go beyond the typical applications such as self-check service to clients and security tasks and may give a perspective of new ideas.}, language = {en} } @inproceedings{RykovaWalther2024, author = {Rykova, Eugenia and Walther, Mathias}, title = {AphaDIGITAL - Digital Speech Therapy Solution for Aphasia Patients with Automatic Feedback Provided by a Virtual Assistant}, series = {Proceedings of the 57th Hawaii International Conference on System Sciences}, booktitle = {Proceedings of the 57th Hawaii International Conference on System Sciences}, editor = {of Hawai'i at Manoa, University}, isbn = {978-0-9981331-7-1}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19453}, pages = {3385 -- 3394}, year = {2024}, abstract = {This paper introduces aphaDIGITAL - a mobile application for speech and language therapy (SLT) support of German-speaking people with aphasia. The app includes automatic speech recognition and text analysis components, which allows giving detailed feedback to the users on different types of errors. Furthermore, the exercises are accompanied by an avatar-based SLT assistant, which is created for this specific purpose. The user performs the exercises, individually configured for her by the SLT practitioner, on a mobile device. Data collection and processing are carried out on the server.}, language = {en} } @inproceedings{NechyporenkoFrohmeOmelchenkoetal.2023, author = {Nechyporenko, Alina and Frohme, Marcus and Omelchenko, Vladyslav and Alekseeva, Victoriia and Lupyr, Andrii and Gargin, Vitaliy}, title = {Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning}, series = {Proceedings of the 6th International Conference on Informatics \& Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023}, volume = {3609}, booktitle = {Proceedings of the 6th International Conference on Informatics \& Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023}, editor = {Shakhovska, Nataliya and Kov{\´a}c, Michal and Izonin, Ivan and Chr{\´e}tien, St{\´e}phane}, publisher = {CEUR-WS.org}, url = {http://nbn-resolving.de/urn:nbn:de:0074-3609-1}, pages = {167 -- 173}, year = {2023}, abstract = {The aim of our study is to develop a new, simple, and effective method for identification of personality based on the characteristics of the sphenoid sinus structure, using machine learning for subsequent implementation into routine medical practice in Ukraine. The study involved 200 multislice computed tomography (MSCT) scans of individuals of various genders and ages. During the study, we obtained results with an accuracy exceeding 70\%.}, language = {en} } @inproceedings{ChumachenkoNechyporenkoFrohme2022, author = {Chumachenko, Dmytro and Nechyporenko, Alina and Frohme, Marcus}, title = {Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning}, series = {Proceedings of the 5th International Conference on Informatics \& Data-Driven Medicine, Lyon, France, November 18 - 20, 2022}, volume = {3302}, booktitle = {Proceedings of the 5th International Conference on Informatics \& Data-Driven Medicine, Lyon, France, November 18 - 20, 2022}, editor = {Shakhovska, Nataliya and Chr{\´e}tien, St{\´e}phane and Izonin, Ivan and Campos, Jaime}, publisher = {RWTH Aachen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19074}, pages = {78 -- 85}, year = {2022}, abstract = {The new coronavirus COVID-19 has been spreading worldwide for almost three years. The global community has developed effective measures to contain and control the pandemic. However, new factors are emerging that are driving the dynamics of COVID-19. One of these factors was the escalation of Russia's war in Ukraine. This study aims to test the hypothesis of the influence of migration flows caused by the Russian war in Ukraine on the dynamics of the epidemic process in Germany. For this, a model of the COVID-19 epidemic process was built based on the polynomial regression method. The model's adequacy was tested 30 days before the start of the escalation of the Russian war in Ukraine. To assess the impact of the war on the dynamics of COVID-19, the model was used to calculate the forecast of cumulative new and fatal cases of COVID-19 in Germany in the first 30 days after the start of the escalation of the Russian war in Ukraine. Modeling showed that migration flows from Ukraine are not a critical factor in the growth of the dynamics of the incidence of COVID-19 in Germany, but they influenced the number of cases. The next stage of the study is the development of more complex models for a detailed analysis of population dynamics, identifying factors influencing the epidemic process in the context of the Russian war in Ukraine, and assessing their information content.}, language = {en} } @inproceedings{WilbersGuenthervandeSandetal.2025, author = {Wilbers, Simon and G{\"u}nther, Norman and van de Sand, Ron and Prell, Bastian and Reiff-Stephan, J{\"o}rg}, title = {Components of reusable prompts for humanity-centered automation}, series = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, booktitle = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, editor = {Reiff-Stephan, J{\"o}rg and J{\"a}kel, Jens and Reichelt, Dirk}, publisher = {Hochschule f{\"u}r Technik, Wirtschaft und Kultur}, address = {Leipzig}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20148}, pages = {71 -- 78}, year = {2025}, abstract = {The increasing integration of large language models (LLMs) into cyber-physical production systems, necessitating solutions that are both efficient and aligned with human values and needs. Designing effective and reusable prompts is crucial for creating cyber-physical systems(CPS) that are effective, flexible, reliable, user-friendly and aligned with Humanity-centered Automation. This paper introduces essential components of reusable prompts: Versioning, Model Selection, Purpose Definition, Variables, Examples, and Output Structuring. By applying the proposed components, developers might enable CPS employing LLMs to operate with more predictable inputs and outputs, enabling better control over results and facilitating the chaining of multiple prompts or collaboration between different LLMs. These components emerged from extensive experimentation with various LLMs and prompt configurations. The resulting framework supports the maintenance of prompt collections similar to codebases and thus enhances traceability, maintainability, and human oversight. Such structured components for prompt design supports humanity-centered automation by ensuring that technological advances serve human values and improve interaction with complex systems.}, language = {en} } @inproceedings{GuentherPrellvandeSandetal.2024, author = {G{\"u}nther, Norman and Prell, Bastian and van de Sand, Ron and Reiff-Stephan, J{\"o}rg}, title = {Industrie 5.0 Lernumgebung am Beispiel der Wildauer Smart Production}, series = {Tagungsband AALE 2024}, booktitle = {Tagungsband AALE 2024}, editor = {Reiff-Stephan, J{\"o}rg and J{\"a}kel, Jens and St{\"o}cker, Christian}, publisher = {Hochschule f{\"u}r Technik, Wirtschaft und Kultur}, address = {Leipzig}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18538}, pages = {365 -- 372}, year = {2024}, abstract = {Die Industrie 5.0 fordert neue Lernans{\"a}tze und zeitgleich auch passende Lernumgebungen. Parallel m{\"u}ssen diese neben den didaktischen Herausforderungen auch den Transfer- und {\"U}bertragungsgedanken auf die industriellen Anwendungen gerecht werden. Durch die t{\"a}glich steigende Anzahl vielf{\"a}ltiger KI-Tools insbesondere textgenerierenden Tools, braucht es Systeme mit einem breiten Anwendungsbereich. Im Rahmen des vorliegenden Beitrags geben die Autoren einen Einblick in die Wildauer Smart Production, welche den transdisziplin{\"a}ren Gedanken von Lern- und Transferumgebungen Rechnung tr{\"a}gt, M{\"o}glichkeiten der Gestaltung komplexer Produktionssysteme widerspiegelt, die Integration menschzentrierter Ans{\"a}tze erm{\"o}glicht und als Forschungsumgebung eingesetzt wird.}, language = {de} } @inproceedings{FiebelkornKugelGuentheretal.2025, author = {Fiebelkorn, Richard and Kugel, Rafael and G{\"u}nther, Norman and Reiff-Stephan, J{\"o}rg}, title = {Predictive Maintenance in der Baumpflege - TreeAngel}, series = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, booktitle = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, editor = {Reiff-Stephan, J{\"o}rg and J{\"a}kel, Jens and Reichelt, Dirk}, publisher = {Hochschule f{\"u}r Technik, Wirtschaft und Kultur}, address = {Leipzig}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20193}, pages = {251 -- 259}, year = {2025}, abstract = {Die Gew{\"a}hrleistung der Verkehrssicherheit von B{\"a}umen stellt eine zentrale Herausforderung f{\"u}r St{\"a}dte und Gemeinden dar. Traditionelle, manuelle Inspektionsmethoden sind zeit- und ressourcenintensiv sowie anf{\"a}llig f{\"u}r menschliche Fehler. Der folgende Artikel pr{\"a}sentiert ein innovatives System zur automatisierten Baumzustandsbewertung, welches moderne Kameratechnologien und K{\"u}nstliche Intelligenz (KI) nutzt. Im Rahmen einer Machbarkeitsstudie wurden Bilddaten, welche durch verschiedene Kamerasysteme erzeugt wurden, analysiert. Basierend auf diesen Daten wurde ein YOLOv8-Modell trainiert, welches eine pr{\"a}zise Detektion von B{\"a}umen und Sch{\"a}den, wie beispielsweise Totholz, erm{\"o}glicht. Die Ergebnisse des vorgestellten Prototypensystems sind vielversprechend hinsichtlich Genauigkeit und Effizienz. Es zeigt das Potenzial, manuelle Inspektionen durch automatisierte Verfahren zu erg{\"a}nzen oder zu ersetzen. Die pr{\"a}sentierten Resultate legen den Grundstein f{\"u}r nachhaltige und skalierbare Ans{\"a}tze in der Baumpflege und k{\"o}nnen zur Steigerung der {\"o}ffentlichen Sicherheit und Effizienz im urbanen Management beitragen.}, language = {de} } @inproceedings{WilbersvandeSandPrelletal.2025, author = {Wilbers, Simon and van de Sand, Ron and Prell, Bastian and Reiff-Stephan, J{\"o}rg}, title = {Agentic Recommender System Konzept f{\"u}r nachhaltiges Wissensmanagement}, series = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, booktitle = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, editor = {Reiff-Stephan, J{\"o}rg and Beuster, Anja}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20764}, year = {2025}, abstract = {Unternehmen stehen vor erheblichen Herausforderungen beim Erhalt, bei der Nutzung und Weitergabe zentralen Wissens. Demografischer Wandel, zunehmender Mitarbeiterfluktuation und steigende organisatorische Komplexit{\"a}t erschweren klassische Dokumentations- und Austauschprozesse, welche auf erhebliche Mitarbeitendenmitwirkung angewiesen sind. Mithilfe generativer KI und agentischer Recommender-Systeme lassen sich diese Hindernisse {\"u}berwinden, indem wichtiges Wissen "on-the-fly" und weitestgehend automatisiert erfasst wird. Ein zentrales Element bildet hierbei die Kombination aus semantischen Embeddings, einer Graphdatenbank und spezialisierten KI-Agenten, die Dokumente und Chatverl{\"a}ufe analysieren, Mitarbeiter gezielt mit Vorschl{\"a}gen unterst{\"u}tzen und Wissen so kontinuierlich aktualisieren. So entsteht eine effektive Wissenskultur mit niedrigen Barrieren f{\"u}r die Nutzung dank minimalem Mehraufwand f{\"u}r die menschlichen Nutzer.}, language = {de} } @inproceedings{ReiffStephanZeise2025, author = {Reiff-Stephan, J{\"o}rg and Zeise, Dominique}, title = {AI-Based Cooperation Management in the Early Stages of Entrepreneurship: Matchmaking at Start-Up Events}, series = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, booktitle = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, editor = {Reiff-Stephan, J{\"o}rg and Beuster, Anja}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20779}, year = {2025}, abstract = {In today's dynamic industry, successful start-ups require not only innovative ideas, but also the right partners - artificial intelligence can help bring them together efficiently and in a targeted manner. This article discusses the role of artificial intelligence (AI) in cooperation management at start-up events. The authors present the AI-supported matchmaking tool 'KIKma', which uses profile and interest analyses to make targeted cooperation suggestions to founders, investors and mentors. The system is based on a transformer model that classifies participant profiles and generates suggestions for targeted speed dating slots. The results show a high degree of accuracy, but occasional misclassifications occur due to ambiguities. This could be improved by fine-tuning the model or optimising the questionnaires. The aim is to facilitate exchange in the start-up landscape and establish an intelligent, adaptive cooperation network in the long term. The authors see great potential for future applications in innovation management in the continuous optimisation of the matching algorithm.}, language = {de} } @inproceedings{FiebelkornKugelGuentheretal.2025, author = {Fiebelkorn, Richard and Kugel, Rafael and G{\"u}nther, Norman and Reiff-Stephan, J{\"o}rg}, title = {Predictive Maintenance in Tree Care - TreeAngel}, series = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, booktitle = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, editor = {Reiff-Stephan, J{\"o}rg and Beuster, Anja}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20801}, year = {2025}, abstract = {Ensuring the traffic safety of trees poses a significant challenge for urban authorities. Conventional manual inspection methods are both time-consuming and resource-intensive, and they are subject to human error. The following paper presents an innovative system for automated tree condition assessment using modern camera technologies and artificial intelligence (AI). As part of a feasibility study, image data generated by various camera systems was analyzed. Based on this data, a YOLOv8 model was trained, which enables precise detection of trees and damage, such as deadwood. The results of the prototype system presented are promising in terms of accuracy and efficiency, suggesting the potential to supplement or replace manual spections with automated procedures. The results of this study lay the foundation for sustainable and scalable approaches in tree care and can contribute to increasing public safety and efficiency in urban management.}, language = {en} } @inproceedings{OjoWalther2025, author = {Ojo, Emil and Walther, Mathias}, title = {Emotion Perception in AI-Generated Facial Expressions}, series = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, booktitle = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, editor = {Reiff-Stephan, J{\"o}rg and Beuster, Anja}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20799}, year = {2025}, abstract = {This study analyses whether facial expressions in generated images are perceived in the same way as in real images. It examines the perception of emotional intensity and sympathy, the ability to recognise emotions, and the distinction between real and generated images. To answer these questions, an online survey was conducted with more than 200 participants. The results show slight to moderate differences in perception between generated and real images, but it also becomes clear that the distinction between the two is becoming increasingly difficult.}, language = {de} } @inproceedings{MehnerFernholzFabianetal.2023, author = {Mehner, Caroline and Fernholz, Yannick and Fabian, Benjamin and Ermakova, Tatiana}, title = {Predictive Policing - Eine kritische Bestandsaufnahme am Beispiel der Dimension Raum}, series = {6. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2023)}, booktitle = {6. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2023)}, editor = {Auth, Gunnar and Pidun, Tim}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Bonn}, isbn = {978-3-88579-735-7}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18230}, pages = {55 -- 67}, year = {2023}, abstract = {Dieser Beitrag bietet eine kritische Bestandsaufnahme des Predictive Policing am Beispiel der Dimension Raum. Unter Ber{\"u}cksichtigung der aktuellen Entwicklungen des europ{\"a}ischen AI-Acts werden Maßnahmen und Methoden beleuchtet und aus ethischer Perspektive reflektiert und diskutiert. Das methodische Fundament bildet eine systematische Literaturanalyse anhand einer Korpusanalyse zu Techniken des Predictive Policing. Es werden vorhandene wissenschaftliche Vorarbeiten vorgestellt und ethische Fragestellungen im Zusammenhang mit der Verwendung von Daten f{\"u}r Predictive Policing untersucht. Der Beitrag er{\"o}ffnet wichtige Fragen, die es weiter zu erforschen gilt. Die aktuellen Entwicklungen im Rahmen des AI-Acts best{\"a}tigen die Relevanz der Thematik.}, language = {de} } @inproceedings{BeusterReiffStephan2025, author = {Beuster, Anja and Reiff-Stephan, J{\"o}rg}, title = {KI-Kooperationssysteme: Ein Forschungsansatz zur Analyse von Kooperationsnetzwerken in der Anwendung K{\"u}nstlicher Intelligenz}, series = {INFORMATIK 2025 : The Wide Open: Offenheit von Source bis Science}, booktitle = {INFORMATIK 2025 : The Wide Open: Offenheit von Source bis Science}, editor = {Lucke, Ulrike and Stieglitz, Stefan and Uebernickel, Falk and Lamprecht, Anna-Lena and Klein, Maike}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Bonn}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20861}, pages = {1373 -- 1380}, year = {2025}, abstract = {Die digitale Transformation und das Potenzial K{\"u}nstlicher Intelligenz (KI) stellen insbesondere kleine und mittlere Unternehmen (KMU) vor komplexe Herausforderungen. KI-Technologien bieten einerseits erhebliche Potenziale f{\"u}r Innovationen und Wettbewerbsf{\"a}higkeit. Andererseits ist die Nutzung dieser Potenziale voraussetzungsreich und erfordert die Verf{\"u}gung bzw. den Aufbau von Ressourcen, wie Fachwissen, Daten, finanziellen Ressourcen und IT-Infrastruktur. KI-Kooperationen sind ein zunehmend relevantes strategisches Instrument f{\"u}r KMU, um diesen strukturellen Defiziten zu begegnen und den Unternehmen Zug{\"a}nge zu ben{\"o}tigten Ressourcen zu erm{\"o}glichen. Dar{\"u}ber hinaus k{\"o}nnen sie im Sinne der organisationalen Ambidextrie die Balance zwischen Exploration, der Suche und Erschließung neuer Handlungsfelder und Exploitation, dem Ausbau etablierter Wertsch{\"o}pfungspotenziale im Unternehmen und damit langfristig die Wettbewerbsf{\"a}higkeit des Mittelstandes unterst{\"u}tzen. Der vorgestellte Forschungsansatz erweitert das Konzept der organisationalen Ambidextrie um eine systematische Analyse von KI-Kooperationssystemen an der Schnittstelle von KI-Technologie-Anwendung, Organisations- und Innovationsentwicklung sowie der menschenzentrierten Produktion.}, language = {de} } @inproceedings{RykovaWalther2024, author = {Rykova, Eugenia and Walther, Mathias}, title = {Linguistic and extralinguistic factors in automatic speech recognition of German atypical speech}, series = {Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)}, booktitle = {Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)}, editor = {Luz de Araujo, Pedro Henrique and Baumann, Andreas and Gromann, Dagmar and Krenn, Brigitte and Roth, Benjamin and Wiegand, Michael}, publisher = {Association for Computational Linguistics}, address = {Wien}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19915}, pages = {358 -- 367}, year = {2024}, abstract = {Automatic speech recognition (ASR) has been already used in speech and language therapy, including diagnostic tasks and practice exercises for people with aphasia (PWA). The lack of relevant data makes it difficult to evaluate the algorithms' suitability for German-speaking PWA. For the current project, four open-source ASR models were selected based on their performance on other types of atypical speech, and the details of their evaluation are presented in this paper. The four selected models are generally robust to speakers' gender and age. The one-word recognition yields better results for words of moderate length. Speech rate should be neither too slow nor too quick for lower error rates both in words and phrases, and the latter should be also of moderate length.}, language = {en} } @inproceedings{HeroldRoedenbeck2023, author = {Herold, Marcel and Roedenbeck, Marc}, title = {Vergleichende Analyse von Unternehmenswerten in Online Stellenanzeigen mittels NLP / LIWC}, series = {NWK 2023 - Tagungsband zur 23. Nachwuchswissenschaftler*innenkonferenz}, booktitle = {NWK 2023 - Tagungsband zur 23. Nachwuchswissenschaftler*innenkonferenz}, editor = {Stolzenburg, Frieder and Reinboth, Christian and Lohr, Thomas and Vogel, Kathleen}, publisher = {Hochschule Harz}, address = {Wernigerode}, issn = {2627-5708}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18515}, pages = {52 -- 62}, year = {2023}, abstract = {Die Analyse von Unternehmenswerten wird schon seit Jahrzenten durchgef{\"u}hrt. Es gibt verschiedene Modelle, wie zum Beispiel den Ansatz von Hofstede oder das „Universal Value Structure Modell" von Schwartz, welche die Unternehmenswerte darstellen. Aktuelle Studien empfehlen Unternehmenswerte unter der Nutzung von Natural Language Processing und definierten Wortlisten bei gr{\"o}ßeren Textdaten zu untersuchen. Ziel der vorliegenden Analyse war zu identifizieren, ob die deutschen {\"U}bersetzungen der bisher englischsprachigen Ans{\"a}tze im Kontext von Online-Stellenanzeigen funktional anwendbar sind. Daher wurden ca. 151.000 online-Stellenanzeigen von ca. 29.000 Unternehmen mittels drei Wortlisten analysiert. Der Umfang der verwendeten Listen lag zwischen 126 und 944 deutschen W{\"o}rtern. Die Ergebnisse zeigen, dass a) alle angewendeten Wortlisten grunds{\"a}tzlich funktional sind, b) dass einer der Listen jedoch herausragende Ergebnisse aufweist, welcher jedoch c) um fehlende Begriffe der beiden anderen Ans{\"a}tze erweitert werden kann. Somit k{\"o}nnen Unternehmen ein eigenes Werteprofil Ihrer externen Online-Kommunikation ermitteln und dieses mit den internen Wertvorstellungen bzw. dem intern erhobenen realen Werteprofil abgleichen.}, language = {de} } @inproceedings{KleinsorgeFauckKupper2025, author = {Kleinsorge, Alexander and Fauck, Alexander and Kupper, Stefan}, title = {A Novel Exponential Continuous Learning Rate Adaption Gradient Descent Optimization Method}, series = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, booktitle = {Wildauer Konferenz f{\"u}r K{\"u}nstliche Intelligenz 2025 (WiKKI25)}, editor = {Reiff-Stephan, J{\"o}rg and Beuster, Anja}, publisher = {TIB Open Publishing}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20785}, year = {2025}, abstract = {We present two novel, fast gradient based optimizer algorithms with dynamic learning rate. The main idea is to adapt the learning rate α by situational awareness, mainly striving for orthogonal neighboring gradients. The method has a high success and fast convergence rate and relies much less on hand-tuned hyper-parameters, providing greater universality. It scales linearly (of order O(n)) with dimension and is rotation invariant, thereby overcoming known limitations. The method is presented in two variants C2Min and P2Min, with slightly different control. Their impressive performance is demonstrated by experiments on several benchmark data-sets (ranging from MNIST to Tiny ImageNet) against the state-of-the-art optimizers Adam and Lion.}, language = {en} } @inproceedings{Neumann2025, author = {Neumann, Gaby}, title = {From human experts to AI agents: Agentic AI for knowledge-intense problem-solving in logistics?}, series = {Proceedings of the 26th European Conference on Knowledge Management : VOL 1}, booktitle = {Proceedings of the 26th European Conference on Knowledge Management : VOL 1}, publisher = {Academic Conferences and Publishing International}, address = {Reading}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-21223}, pages = {719 -- 727}, year = {2025}, abstract = {Logistics planning is a complex and complicated problem solving process requiring a wide range of knowledge and competence. A planning person or team represents a particular set of knowledge, skills, experience and personal attitudes. His, her or their level of competence decides about success or failure of the planning and about the quality of its results. With this, logistics planning is knowledge-based and knowledge-creating. Because of this, Knowledge Management can provide tremendous support to the planning person. Even though, there is a wide variety of (software) tools applicable to solve specific sub-problems throughout the planning process, human expertise is the key to develop creative planning solutions so far. Latest developments with regard to Artificial Intelligence (AI) might change this picture. AI is one of the most promising technological advancements, but also one of the most ambivalently discussed topics these days. It has surpassed humans at a number of tasks already and continues in doing so at new tasks in an increasing rate. Because of this, AI is capable to assist humans in many different ways. The latest boost of development moved AI application from those sophisticated communicators or task-oriented AI to intelligent agents or agentic AI allowing for autonomous, goal-driven decision-making. Hybrid approaches combine those advanced AI capabilities with human oversight, offering context-aware adaptability without full autonomy. In this way, artificial intelligence and human intelligence join forces in teams, for example, to solve complex problems creatively. Against this background, the paper analyses agentic AI with regard to its potential to support creative problem solving in a knowledge-intense field like logistics planning. Will AI agents become co-workers in logistics planning teams or can agentic AI design logistics solutions autonomously? With this, the paper focusses on chances and challenges coming with the highly dynamic evolution of AI within a complex, knowledge-intense application area where human experience, problem-solving capability and creativity is decisive. It contributes to discussions about necessary adjustments in how organizations manage their knowledge considering artificial and human intelligence.}, language = {en} } @inproceedings{SchymikStolpmann2025, author = {Schymik, Lars and Stolpmann, Alexander}, title = {Erkennung von Schadmustern an Personenverkehrsz{\"u}gen und Evaluierung der Konfidenz zur Auswahl robuster Features f{\"u}r „Predictive Maintenance" - Projekt ESPEK}, series = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, booktitle = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, editor = {Reiff-Stephan, J{\"o}rg and J{\"a}kel, Jens and Reichelt, Dirk}, publisher = {Hochschule f{\"u}r Technik, Wirtschaft und Kultur}, address = {Leipzig}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20160}, pages = {171 -- 180}, year = {2025}, abstract = {Im Rahmen des Projekts ESPEK wurden H{\"a}ufigkeit und Relevanz bestimmter Sch{\"a}den an verbreiteten Waggontypen analysiert und basierend darauf im Rahmen eines Konzepts „KI-gest{\"u}tzte Inspektion" praxistaugliche, datenbasierte, durch k{\"u}nstliche Intelligenz unterst{\"u}tzte digitale L{\"o}sungen entwickelt, um Sch{\"a}den an ausgew{\"a}hlten Personenwaggons automatisiert visuell zu erkennen. Ausgehend von den bisher maßgeblich manuellen Inspektionsabl{\"a}ufen und Checklisten k{\"o}nnen selbige durch die vorgeschlagenen Software- und Hardwareautomatisierungen effizienter gestaltet werden. {\"U}bergeordnet werden die Sicherheit der Fahrg{\"a}ste erh{\"o}ht, das Problem des Fachkr{\"a}ftemangel bek{\"a}mpft sowie Ausfall- und Standzeiten reduziert, was letztlich zur besseren Auslastung des Systems Schiene insgesamt beitr{\"a}gt und Zugfahren preiswerter und p{\"u}nktlicher machen kann.}, language = {de} } @inproceedings{KupperStolpmannReiffStephan2025, author = {Kupper, Stefan and Stolpmann, Alexander and Reiff-Stephan, J{\"o}rg}, title = {Hochgeschwindigkeitsz{\"a}hlung von Maden f{\"u}r eine nachhaltige Proteinproduktion}, series = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, booktitle = {Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter}, editor = {Reiff-Stephan, J{\"o}rg and J{\"a}kel, Jens and Reichelt, Dirk}, publisher = {Hochschule f{\"u}r Technik, Wirtschaft und Kultur}, address = {Leipzig}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20171}, pages = {321 -- 327}, year = {2025}, abstract = {Insekten werden aufgrund ihres Proteingehalts als eine der nachhaltigen Quellen f{\"u}r die Lebensmittelproduktion der Zukunft angesehen. Sie werden, analog zu den heutigen Zuchtbetrieben f{\"u}r Schweine und andere Nutztiere, auch in industriellen Anlagen gez{\"u}chtet. Zur Steuerung und Optimierung dieses Zuchtprozesses muss eine Erfassung der Zahl der unter gegebenen Bedingungen aufgezogenen Insekten vorgenommen werden. Im Unterschied zu Großs{\"a}ugern ist die Individuenzahl von Insekten sowie deren Larvenstadien jedoch um Magnituden gr{\"o}ßer, so dass bei der Ermittlung der Anzahl der Insekten mittel- und langfristig auf eine vollautomatisierte maschinelle Erfassung umgestellt werden muss. In dieser Arbeit wird eine Methode zur pr{\"a}zisen Z{\"a}hlung einer großen Zahl von Maden der Schwarzen Soldatenfliege (Hermetia illucens) in einem prototypischen Aufbau vorgestellt.}, language = {de} } @inproceedings{PalmeBreitheckerRieckmannetal.2024, author = {Palme, Willy and Breithecker, Janine and Rieckmann, Olaf and Stolpmann, Alexander}, title = {Gew{\"a}hrleistung der Bildkonsistenz in der Portaitfotografie: Eine technologische L{\"o}sung f{\"u}r effiziente und vergleichbare Aufnahmen}, series = {Tagungsband AALE 2024 : Fit f{\"u}r die Zukunft: Praktische L{\"o}sungen f{\"u}r die industrielle Automation}, booktitle = {Tagungsband AALE 2024 : Fit f{\"u}r die Zukunft: Praktische L{\"o}sungen f{\"u}r die industrielle Automation}, editor = {Reiff-Stephan, J{\"o}rg and J{\"a}kel, Jens and St{\"o}cker, Christian}, publisher = {Hochschule f{\"u}r Technik, Wirtschaft und Kultur}, address = {Leipzig}, isbn = {978-3-910103-02-3}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18570}, pages = {315 -- 320}, year = {2024}, abstract = {Dieses Paper pr{\"a}sentiert das Forschungsprojekt „Intelligent Camera Unit" (ICU) der Technischen Hochschule Wildau in Kooperation mit der Beiersdorf AG zur Verbesserung von Portraitaufnahmen in Probandenstudien f{\"u}r Kosmetikprodukte. Das Hauptziel des Projekt besteht darin, Ausrichtungsfehler zu minimieren und die Vergleichbarkeit von Vorher-Nachher-Bildern zu erh{\"o}hen. Dies wird durch die Verwendung eines kollaborativen Roboters und KI-gest{\"u}tzter Bildanalyse erreicht, um pr{\"a}zise Ausrichtung und Gesichtspositionen der Probanden zu gew{\"a}hrleisten. Das entwickelte System erm{\"o}glicht effiziente und reproduzierbare Aufnahmen aus verschiedenen Winkeln und Entfernungen und bietet eine benutzerfreundliche, web-basierte Bedienoberfl{\"a}che.}, language = {de} }