@incollection{BorndoerferKarbsteinLiebchenetal.2018, author = {Bornd{\"o}rfer, Ralf and Karbstein, Marika and Liebchen, Christian and Lindner, Niels}, title = {A Simple Way to Compute the Number of Vehicles That Are Required to Operate a Periodic Timetable}, series = {18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2018)}, booktitle = {18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2018)}, editor = {Bornd{\"o}rfer, Ralf and Storandt, Sabine}, publisher = {Schloss Dagstuhl - Leibniz-Zentrum f{\"u}r Informatik GmbH}, address = {Wadern}, isbn = {978-3-95977-096-5}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-10549}, publisher = {Technische Hochschule Wildau}, pages = {16:1 -- 16:15}, year = {2018}, abstract = {We consider the following planning problem in public transportation: Given a periodic timetable, how many vehicles are required to operate it? In [Julius Paetzold et al., 2017], for this sequential approach, it is proposed to first expand the periodic timetable over time, and then answer the above question by solving a flow-based aperiodic optimization problem. In this contribution we propose to keep the compact periodic representation of the timetable and simply solve a particular perfect matching problem. For practical networks, it is very much likely that the matching problem decomposes into several connected components. Our key observation is that there is no need to change any turnaround decision for the vehicles of a line during the day, as long as the timetable stays exactly the same.}, language = {en} } @article{HoeftmannMummertPaschkeetal.2010, author = {H{\"o}ftmann, Alexander and Mummert, Christine and Paschke, Christian and Stemmler, Mario and Tolkiehn, G{\"u}nter-Ulrich}, title = {Secure Mobile Voice Communication on an Open Platform}, series = {Siddhant - A journal of decision making}, volume = {2010}, journal = {Siddhant - A journal of decision making}, number = {7}, issn = {2231-0657}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-14206}, pages = {1 -- 4}, year = {2010}, abstract = {An open source project for secure mobile voice communication over IP using strong end-to-end encryption was launched. In its first stage, a solution using Android an two different standard PDA platforms, a central Linux system with Asterisk, and Open VPN with OpenSSL encryption was realized. SIP-based Voice communication over WLAN with end-to-end security was successfully implemented. Concept, approach, first results and outlook on further work are presented.}, language = {en} } @article{BilousMalkoFrohmeetal.2024, author = {Bilous, Nataliya and Malko, Vladyslav and Frohme, Marcus and Nechyporenko, Alina}, title = {Comparison of CNN-Based Architectures for Detection of Different Object Classes}, series = {AI}, volume = {5}, journal = {AI}, number = {4}, publisher = {MDPI}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19634}, pages = {2300 -- 2320}, year = {2024}, abstract = {(1) Background: Detecting people and technical objects in various situations, such as natural disasters and warfare, is critical to search and rescue operations and the safety of civilians. A fast and accurate detection of people and equipment can significantly increase the effectiveness of search and rescue missions and provide timely assistance to people. Computer vision and deep learning technologies play a key role in detecting the required objects due to their ability to analyze big volumes of visual data in real-time. (2) Methods: The performance of the neural networks such as You Only Look Once (YOLO) v4-v8, Faster R-CNN, Single Shot MultiBox Detector (SSD), and EfficientDet has been analyzed using COCO2017, SARD, SeaDronesSee, and VisDrone2019 datasets. The main metrics for comparison were mAP, Precision, Recall, F1-Score, and the ability of the neural network to work in real-time. (3) Results: The most important metrics for evaluating the efficiency and performance of models for a given task are accuracy (mAP), F1-Score, and processing speed (FPS). These metrics allow us to evaluate both the accuracy of object recognition and the ability to use the models in real-world environments where high processing speed is important. (4) Conclusion: Although different neural networks perform better on certain types of metrics, YOLO outperforms them on all metrics, showing the best results of mAP-0.88, F1-0.88, and FPS-48, so the focus was on these models.}, language = {en} } @article{PrzymusRykaczewskiMartinSeguraetal.2025, author = {Przymus, Piotr and Rykaczewski, Krzysztof and Mart{\´i}n-Segura, Adri{\´a}n and Truu, Jaak and De Santa Pau, Enrique Carrillo and Kolev, Mikhail and Naskinova, Irina and Gruca, Aleksandra and Sampri, Alexia and Frohme, Marcus and Nechyporenko, Alina}, title = {Deep Learning in Microbiome Analysis: A Comprehensive Review of Neural Network Models}, series = {Frontiers in Microbiology}, volume = {15}, journal = {Frontiers in Microbiology}, publisher = {Frontiers}, issn = {1664-302X}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19889}, year = {2025}, abstract = {Microbiome research, the study of microbial communities in diverse environments, has seen significant advances due to the integration of deep learning (DL) methods. These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. By automating the detection of functional genes, microbial interactions, and host-microbiome dynamics, DL methods offer unprecedented precision in understanding microbiome composition and its impact on health, disease, and the environment. However, despite their potential, deep learning approaches face significant challenges in microbiome research. Additionally, the biological variability in microbiome datasets requires tailored approaches to ensure robust and generalizable outcomes. As microbiome research continues to generate vast and complex datasets, addressing these challenges will be crucial for advancing microbiological insights and translating them into practical applications with DL. This review provides an overview of different deep learning models in microbiome research, discussing their strengths, practical uses, and implications for future studies. We examine how these models are being applied to solve key problems and highlight potential pathways to overcome current limitations, emphasizing the transformative impact DL could have on the field moving forward.}, language = {en} } @article{KaltdorfSchulzeHelmprobstetal.2017, author = {Kaltdorf, Kristin Verena and Schulze, Katja and Helmprobst, Frederik and Kollmannsberger, Philip and Dandekar, Thomas and Stigloher, Christian}, title = {FIJI Macro 3D ART VeSElecT: 3D Automated Reconstruction Tool for Vesicle Structures of Electron Tomograms}, series = {PLoS Computational Biology}, volume = {13}, journal = {PLoS Computational Biology}, number = {1}, issn = {1553-7358}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-9218}, year = {2017}, abstract = {Automatic image reconstruction is critical to cope with steadily increasing data from advanced microscopy. We describe here the Fiji macro 3D ART VeSElecT which we developed to study synaptic vesicles in electron tomograms. We apply this tool to quantify vesicle properties (i) in embryonic Danio rerio 4 and 8 days past fertilization (dpf) and (ii) to compare Caenorhabditis elegans N2 neuromuscular junctions (NMJ) wild-type and its septin mutant (unc-59(e261)). We demonstrate development-specific and mutant-specific changes in synaptic vesicle pools in both models. We confirm the functionality of our macro by applying our 3D ART VeSElecT on zebrafish NMJ showing smaller vesicles in 8 dpf embryos then 4 dpf, which was validated by manual reconstruction of the vesicle pool. Furthermore, we analyze the impact of C. elegans septin mutant unc-59(e261) on vesicle pool formation and vesicle size. Automated vesicle registration and characterization was implemented in Fiji as two macros (registration and measurement). This flexible arrangement allows in particular reducing false positives by an optional manual revision step. Preprocessing and contrast enhancement work on image-stacks of 1nm/pixel in x and y direction. Semi-automated cell selection was integrated. 3D ART VeSElecT removes interfering components, detects vesicles by 3D segmentation and calculates vesicle volume and diameter (spherical approximation, inner/outer diameter). Results are collected in color using the RoiManager plugin including the possibility of manual removal of non-matching confounder vesicles. Detailed evaluation considered performance (detected vesicles) and specificity (true vesicles) as well as precision and recall. We furthermore show gain in segmentation and morphological filtering compared to learning based methods and a large time gain compared to manual segmentation. 3D ART VeSElecT shows small error rates and its speed gain can be up to 68 times faster in comparison to manual annotation. Both automatic and semi-automatic modes are explained including a tutorial.}, language = {en} } @incollection{Seeliger2025, author = {Seeliger, Frank}, title = {Barrierefreiheit und KI - Eine neue Chance f{\"u}r Bibliotheksangebote?}, series = {Praxishandbuch Inklusion in Bibliotheken : barrierefreier Zugang zu Information, Bildung und Kultur}, booktitle = {Praxishandbuch Inklusion in Bibliotheken : barrierefreier Zugang zu Information, Bildung und Kultur}, editor = {Felsmann, Christiane and Jopp, Belinda and Sieberns, Anne}, isbn = {9783111206943}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20414}, publisher = {Technische Hochschule Wildau}, pages = {421 -- 426}, year = {2025}, abstract = {K{\"u}nstliche Intelligenz (KI) l{\"a}sst viel erwarten f{\"u}r Barrierefreiheit. Es l{\"a}sst sich noch nicht en detail absehen, wie sich KI-Tools entwickeln werden, aber schon jetzt bieten viele und sehr praktische Anwendungen das Potential, bislang vorhandene Barrieren abzubauen. Wie k{\"o}nnen Bibliotheken dieses Potenzial nutzen?}, language = {de} } @article{RykovaStiebenDostovalovaetal.2023, author = {Rykova, Eugenia and Stieben, Christine and Dostovalova, Olga and Wieker, Horst}, title = {Connected Driving in German-Speaking Social Media}, series = {Social Sciences}, volume = {12}, journal = {Social Sciences}, number = {1}, publisher = {MDPI}, issn = {2076-0760}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-16969}, year = {2023}, abstract = {Intelligent transportation systems (ITS) have been steadily becoming part of our reality. For their successful integration, studying and understanding public opinions and acceptance is important. Social media platforms offer an extensive opportunity for opinion mining. While there have been studies on people's attitudes towards automated driving, another important ITS concept—connected driving—has received little to no attention. In the current study, data on how connected driving is represented and perceived were collected from German(-speaking) Reddit and Twitter. In relevant Reddit entries, the necessity of communication between vehicles was discussed almost exclusively in the context of automated driving. On Twitter, mostly shared news and information on the topic are presented, while the number of personal opinions is low. The most concerning subtopic seems to be cybersecurity, which reflects a general trend of data protection issues discussed in society.}, language = {en} } @article{AlekseevaNechyporenkoFrohmeetal.2023, author = {Alekseeva, Victoriia and Nechyporenko, Alina and Frohme, Marcus and Gargin, Vitaliy and Meniailov, Ievgen and Chumachenko, Dmytro}, title = {Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation}, series = {Electronics}, volume = {12}, journal = {Electronics}, number = {5}, publisher = {MDPI}, issn = {2079-9292}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17088}, year = {2023}, abstract = {The share of chronic odontogenic rhinosinusitis is 40\% among all chronic rhinosinusitis. Using automated information systems for differential diagnosis will improve the efficiency of decision-making by doctors in diagnosing chronic odontogenic rhinosinusitis. Therefore, this study aimed to develop an intelligent decision support system for the differential diagnosis of chronic odontogenic rhinosinusitis based on computer vision methods. A dataset was collected and processed, including 162 MSCT images. A deep learning model for image segmentation was developed. A 23 convolutional layer U-Net network architecture has been used for the segmentation of multi-spiral computed tomography (MSCT) data with odontogenic maxillary sinusitis. The proposed model is implemented in such a way that each pair of repeated 3 × 3 convolutions layers is followed by an Exponential Linear Unit instead of a Rectified Linear Unit as an activation function. The model showed an accuracy of 90.09\%. To develop a decision support system, an intelligent chatbot allows the user to conduct an automated patient survey and collect patient examination data from several doctors of various profiles. The intelligent information system proposed in this study made it possible to combine an image processing model with a patient interview and examination data, improving physician decision-making efficiency in the differential diagnosis of Chronic Odontogenic Rhinosinusitis. The proposed solution is the first comprehensive solution in this area.}, language = {en} } @article{LangenbergMaErmakovaetal.2023, author = {Langenberg, Anna and Ma, Shih-Chi and Ermakova, Tatiana and Fabian, Benjamin}, title = {Formal Group Fairness and Accuracy in Automated Decision Making}, series = {Mathematics}, volume = {11}, journal = {Mathematics}, number = {8}, publisher = {MDPI}, issn = {2227-7390}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17323}, year = {2023}, abstract = {Most research on fairness in Machine Learning assumes the relationship between fairness and accuracy to be a trade-off, with an increase in fairness leading to an unavoidable loss of accuracy. In this study, several approaches for fair Machine Learning are studied to experimentally analyze the relationship between accuracy and group fairness. The results indicated that group fairness and accuracy may even benefit each other, which emphasizes the importance of selecting appropriate measures for performance evaluation. This work provides a foundation for further studies on the adequate objectives of Machine Learning in the context of fair automated decision making.}, language = {en} } @article{ArangoPerez2019, author = {Arango P{\´e}rez, Andr{\´e}s}, title = {Implementing Augmented Reality in the Flight Deck for Single Pilot Operations}, series = {Anwendungen und Konzepte der Wirtschaftsinformatik}, volume = {9}, journal = {Anwendungen und Konzepte der Wirtschaftsinformatik}, publisher = {Arbeitskreis Wirtschaftsinformatik (AKWI)}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-16649}, pages = {60 -- 72}, year = {2019}, abstract = {Single Pilot Operations is a current topic with the potential to significantly affect the future of commercial aviation. While financially attractive for airlines, Single Pilot Operations bring forth important safety concerns, especially regarding the lack of human redundancy in the flight deck, an increased workload for the single pilot, reduced situational awareness and a higher risk of human error. It is assumed that potential problems affecting Single Pilot Operations could be addressed by implementing an Augmented Reality (AR) device in the flight deck, by presenting additional information and supporting hints within the pilot's field of view. Concretely, AR could be used to help reduce the single pilot's workload, improve situational awareness and reduce the risk of human error. This paper sets out to demonstrate two use cases for augmented reality in the flight deck. A system, called Pilot Assist, was developed that allows pilots to conduct checklists interactively with a Microsoft HoloLens. The system also provides a holographic Head-up-Display. Pilot Assist was developed and demonstrated with a fixed base Airbus A320 simulator at the Technical University of Wildau. With the HoloLens' spatial mapping capabilities - scanning and recognizing the environment around the user - it was possible to create a system that guides the pilot through the conduction of checklists. This is done by prompting the user towards the location of each checklist item in the cockpit, where information regarding necessary actions is projected. Furthermore, Pilot Assist is integrated with the aircraft systems, making it possible to obtain aircraft status data in real time, thus allowing error-checking of the pilot's actions as well as automating the progress through checklists. The holographic Head-up-Display allows the user to look at the surrounding environment while presenting critical flight data within the user's field of view. The holographic Head-up-Display is intended to contribute to the pilot's situational awareness. Experts in the aviation field, including pilots, researchers and engineers had the chance to qualitatively assess the Pilot Assist tool. They pointed to limitations of both Pilot Assist and the HoloLens itself, but shared optimism as to how this technology and similar applications could indeed impact the future of flight operations. Concerns regarding the HoloLens' weight, comfort and narrow field of view were expressed. However, continued development of head mounted devices (e.g. HoloLens 2) is expected in the coming years. Further research into augmented reality applications in the flight deck is needed to advance this and other use cases. Nonetheless, the experts agreed Pilot Assist provides beneficial support during single pilot operation considering the current prototypical nature of the system.}, language = {en} } @article{RosendorffHodesFabian2021, author = {Rosendorff, Andr{\´e} and Hodes, Alexander and Fabian, Benjamin}, title = {Artificial intelligence for last-mile logistics - Procedures and architecture}, series = {The Online Journal of Applied Knowledge Management (OJAKM)}, volume = {9}, journal = {The Online Journal of Applied Knowledge Management (OJAKM)}, number = {1}, publisher = {The International Institute for Applied Knowledge Management}, issn = {2325-4688}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-15586}, pages = {46 -- 61}, year = {2021}, abstract = {Artificial Intelligence (AI) is becoming increasingly important in many industries due to its diverse areas of application and potential. In logistics in particular, increasing customer demands and the growth in shipment volumes are leading to difficulties in forecasting delivery times, especially for the last mile. This paper explores the potential of using AI to improve delivery forecasting. For this purpose, a structured theoretical solution approach and a method for improving delivery forecasting using AI are presented. In doing so, the important phases of the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework, a standard process for data mining, are adopted and discussed in detail to illustrate the complexity and importance of each task such as data preparation or evaluation. Subsequently, by embedding the described solution into an overall system architecture for information systems, ideas for the integration of the solution into the complexity of real information systems for logistics are given.}, language = {en} } @article{D'EliaTruuLahtietal.2023, author = {D'Elia, Domenica and Truu, Jaak and Lahti, Leo and Berland, Magali and Papoutsoglou, Georgios and Ceci, Michelangelo and Zomer, Aldert and Lopes, Marta B. and Ibrahimi, Eliana and Gruca, Aleksandra and Nechyporenko, Alina and Frohme, Marcus and Klammsteiner, Thomas and Carrillo de Santa Pau, Enrique and Marcos-Zambrano, Laura Judith and Hron, Karel and Pio, Gianvito and Simeon, Andrea and Suharoschi, Ramona and Moreno-Indias, Isabel and Temko, Andriy and Nedyalkova, Miroslava and Apostol, Elena-Simona and Truică, Ciprian-Octavian and Shigdel, Rajesh and Telalović, Jasminka Hasić and Bongcam-Rudloff, Erik and Przymus, Piotr and Jordamović, Naida Babić and Falquet, Laurent and Tarazona, Sonia and Sampri, Alexia and Isola, Gaetano and P{\´e}rez-Serrano, David and Trajkovik, Vladimir and Klucar, Lubos and Loncar-Turukalo, Tatjana and Havulinna, Aki S. and Jansen, Christian and Bertelsen, Randi J. and Claesson, Marcus Joakim}, title = {Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action}, series = {Frontiers in Microbiology}, volume = {14}, journal = {Frontiers in Microbiology}, publisher = {Frontiers}, issn = {1664-302X}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18004}, year = {2023}, abstract = {The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which could substantially improve healthcare practices in the era of precision medicine. However, several challenges must be addressed to exploit the benefits of ML in this field fully. In particular, there is a need to establish "gold standard" protocols for conducting ML analysis experiments and improve interactions between microbiome researchers and ML experts. The Machine Learning Techniques in Human Microbiome Studies (ML4Microbiome) COST Action CA18131 is a European network established in 2019 to promote collaboration between discovery-oriented microbiome researchers and data-driven ML experts to optimize and standardize ML approaches for microbiome analysis. This perspective paper presents the key achievements of ML4Microbiome, which include identifying predictive and discriminatory 'omics' features, improving repeatability and comparability, developing automation procedures, and defining priority areas for the novel development of ML methods targeting the microbiome. The insights gained from ML4Microbiome will help to maximize the potential of ML in microbiome research and pave the way for new and improved healthcare practices.}, language = {en} } @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} } @article{LoosGroeplerGoudeau2023, author = {Loos, Eug{\`e}ne and Gr{\"o}pler, Johanna and Goudeau, Marie-Louise Sophie}, title = {Using ChatGPT in Education: Human Reflection on ChatGPT's Self-Reflection}, series = {Societies}, volume = {13}, journal = {Societies}, number = {8}, publisher = {MDPI}, issn = {2075-4698}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17966}, year = {2023}, abstract = {ChatGPT is a fascinating AI text generator tool. It is a language model developed by OpenAI, a research and deployment company with the mission, according to OpenAI's website: "to ensure that artificial general intelligence benefits all of humanity". ChatGPT is able to generate human-like texts. But how does it work? What about the quality of the texts it provides? And is it capable of being self-reflective? Information sources must be efficient, effective and reliable in education, in order to enhance students' learning process. For this reason, we started a dialogue with ChatGPT-3 while using, among others, a SWOT analysis it generated about its own functioning in an educational setting. This enabled us, as human authors, to analyze the extent to which this AI system is able to practice self-reflection. Finally, the paper sketches implications for education and future research.}, language = {en} } @article{KnieKubica2023, author = {Knie, Bernhard and Kubica, Stefan}, title = {Hinreichende Spezifikation einer KI-Funktion am Beispiel Fußg{\"a}ngerschutz}, series = {Anwendungen und Konzepte der Wirtschaftsinformatik}, journal = {Anwendungen und Konzepte der Wirtschaftsinformatik}, number = {18}, publisher = {Hochschule Luzern}, issn = {2296-4592}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18410}, pages = {59 -- 64}, year = {2023}, abstract = {Transparenz und Erkl{\"a}rbarkeit sind essenzielle Faktoren bei der Entwicklung sicherer KI-Modelle f{\"u}r den Fußg{\"a}ngerschutz. Dies erm{\"o}glicht nicht nur eine verbesserte Akzeptanz, sondern f{\"o}rdert auch das Vertrauen der Nutzer in die pr{\"a}ventiven F{\"a}higkeiten dieser Systeme. Die Integration von Sensoren, maschinellem Lernen und fortschrittlichen Algorithmen erm{\"o}glicht eine pr{\"a}zise Analyse von Fußg{\"a}ngerverhalten und Umgebungsfaktoren. Dabei spielt die Echtzeitverarbeitung eine entscheidende Rolle, um schnell auf sich {\"a}ndernde Situationen zu reagieren. Zus{\"a}tzlich zur Technologieentwicklung betont diese Analyse die Notwendigkeit strikter Sicherheitsmaßnahmen, um potenzielle Risiken und Sicherheitsl{\"u}cken zu minimieren. Dazu geh{\"o}ren Sicherheitsprotokolle f{\"u}r die Datenspeicherung, den Modellschutz und den Zu-griff auf KI-Systeme. Die Einhaltung gesetzlicher und ethischer Richtlinien ist ein weiterer wichtiger Aspekt. Regulatorische Vorgaben und ethische Standards sollen sicherstellen, dass KI-Technologien im Automobilsektor nicht nur sicher, sondern auch im Einklang mit gesellschaftlichen Werten und Normen eingesetzt werden.}, language = {de} } @article{SchillingBeyerleinChien2023, author = {Schilling, Vincent and Beyerlein, Peter and Chien, Jeremy}, title = {A Bioinformatics Analysis of Ovarian Cancer Data Using Machine Learning}, series = {Algorithms}, volume = {16}, journal = {Algorithms}, number = {7}, publisher = {MDPI}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17751}, year = {2023}, abstract = {The identification of biomarkers is crucial for cancer diagnosis, understanding the underlying biological mechanisms, and developing targeted therapies. In this study, we propose a machine learning approach to predict ovarian cancer patients' outcomes and platinum resistance status using publicly available gene expression data. Six classical machine-learning algorithms are compared on their predictive performance. Those with the highest score are analyzed by their feature importance using the SHAP algorithm. We were able to select multiple genes that correlated with the outcome and platinum resistance status of the patients and validated those using Kaplan-Meier plots. In comparison to similar approaches, the performance of the models was higher, and different genes using feature importance analysis were identified. The most promising identified genes that could be used as biomarkers are TMEFF2, ACSM3, SLC4A1, and ALDH4A1.}, language = {en} } @article{FernholzErmakovaFabianetal.2024, author = {Fernholz, Yannick and Ermakova, Tatiana and Fabian, Benjamin and Buxmann, Peter}, title = {User-driven prioritization of ethical principles for artificial intelligence systems}, series = {Computers in Human Behavior: Artificial Humans}, volume = {2}, journal = {Computers in Human Behavior: Artificial Humans}, number = {1}, publisher = {Elsevier}, issn = {2949-8821}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18509}, year = {2024}, abstract = {Despite the progress of Artificial Intelligence (AI) and its contribution to the advancement of human society, the prioritization of ethical principles from the viewpoint of its users has not yet received much attention and empirical investigations. This is important to develop appropriate safeguards and increase the acceptance of AI-mediated technologies among all members of society. In this research, we collected, integrated, and prioritized ethical principles for AI systems with respect to their relevance in different real-life application scenarios. First, an overview of ethical principles for AI was systematically derived from various academic and non-academic sources. Our results clearly show that transparency, justice and fairness, non-maleficence, responsibility, and privacy are most frequently mentioned in this corpus of documents. Next, an empirical survey to systematically identify users' priorities was designed and conducted in the context of selected scenarios: AI-mediated recruitment (human resources), predictive policing, autonomous vehicles, and hospital robots. We anticipate that the resulting ranking can serve as a valuable basis for formulating requirements for AI-mediated solutions and creating AI algorithms that prioritize user's needs. Our target audience includes everyone who will be affected by AI systems, e.g., policy makers, algorithm developers, and system managers as our ranking clearly depicts user's awareness regarding AI ethics.}, language = {en} } @article{DhimanMiteffWangetal.2024, author = {Dhiman, Rachit and Miteff, Sofia and Wang, Yuancheng and Ma, Shih-Chi and Amirikas, Ramila and Fabian, Benjamin}, title = {Artificial Intelligence and Sustainability—A Review}, series = {Analytics}, volume = {3}, journal = {Analytics}, number = {1}, publisher = {MDPI}, issn = {2813-2203}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18651}, pages = {140 -- 164}, year = {2024}, abstract = {In recent decades, artificial intelligence has undergone transformative advancements, reshaping diverse sectors such as healthcare, transport, agriculture, energy, and the media. Despite the enthusiasm surrounding AI's potential, concerns persist about its potential negative impacts, including substantial energy consumption and ethical challenges. This paper critically reviews the evolving landscape of AI sustainability, addressing economic, social, and environmental dimensions. The literature is systematically categorized into "Sustainability of AI" and "AI for Sustainability", revealing a balanced perspective between the two. The study also identifies a notable trend towards holistic approaches, with a surge in publications and empirical studies since 2019, signaling the field's maturity. Future research directions emphasize delving into the relatively under-explored economic dimension, aligning with the United Nations' Sustainable Development Goals (SDGs), and addressing stakeholders' influence.}, language = {en} } @article{KallabisBeyerleinLisdat2024, author = {Kallabis, Conrad and Beyerlein, Peter and Lisdat, Fred}, title = {Quantitative determination of dopamine in the presence of interfering substances supported by machine learning tools}, series = {Bioelectrochemistry}, volume = {157}, journal = {Bioelectrochemistry}, number = {108667}, issn = {1567-5394}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19277}, year = {2024}, abstract = {In the field of neuroscience as well as in the clinical setting, the neurotransmitter dopamine (DA) is an analyte which is important for research as well as medical purposes. There are plenty of methods available to measure dopamine quantitatively, with voltammetric ones such as differential pulse voltammetry (DPV) being among the most convenient and simple ones. However, dopamine often occurs, either naturally or because of the requirements of involved enzymatic systems, alongside substances that can influence the signal it produces upon electrochemical conversion. An example for such substances is the magnesium ion, which itself is not electrochemically active in the potential range needed for DA oxidation, but influences the dopamine signal. We have characterized the properties of DPV signals subject to the interaction between DA and Mg2+ and show that, although these properties are changing in a nonlinear fashion when both concentrations are varying, relatively simple linear mathematical models can be used to determine dopamine concentrations quantitatively in the presence of magnesium ions. The focus of this study is thus, the mathematical treatment of experimental data in order to overcome an analytical problem and not the investigation of the chemical background of DA-Mg2+ interaction.}, language = {en} } @article{NechyporenkoFrohmeStrelchuketal.2024, author = {Nechyporenko, Alina and Frohme, Marcus and Strelchuk, Yaroslav and Omelchenko, Vladyslav and Gargin, Vitaliy and Ishchenko, Liudmyla and Alekseeva, Victoriia}, title = {Galvanic Skin Response and Photoplethysmography for Stress Recognition Using Machine Learning and Wearable Sensors}, series = {Applied Sciences}, volume = {14}, journal = {Applied Sciences}, number = {24}, publisher = {MDPI}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19803}, year = {2024}, abstract = {This study investigates stress recognition using galvanic skin response (GSR) and photoplethysmography (PPG) data and machine learning, with a new focus on air raid sirens as a stressor. It bridges laboratory and real-world conditions and highlights the reliability of wearable sensors in dynamic, high-stress environments such as war and conflict zones. The study involves 37 participants (20 men, 17 women), aged 20-30, who had not previously heard an air raid siren. A 70 dB "S-40 electric siren" (400-450 Hz) was delivered via headphones. The protocol included a 5 min resting period, followed by 3 min "no-stress" phase, followed by 3 min "stress" phase, and finally a 3 min recovery phase. GSR and PPG signals were recorded using Shimmer 3 GSR+ sensors on the fingers and earlobes. A single session was conducted to avoid sensitization. The workflow includes signal preprocessing to remove artifacts, feature extraction, feature selection, and application of different machine learning models to classify the "stress "and "no-stress" states. As a result, the best classification performance was shown by the k-Nearest Neighbors model, achieving 0.833 accuracy. This was achieved by using a particular combination of heart rate variability (HRV) and GSR features, which can be considered as new indicators of siren-induced stress.}, language = {en} } @article{BalcikErnstSeeliger2024, author = {Balcik, Sinem Ahsen and Ernst, Leonie and Seeliger, Frank}, title = {Bibliotheken und KI: in den Startl{\"o}chern mit Plan oder nur vereinzelt unterwegs?}, series = {B.I.T. online}, volume = {27}, journal = {B.I.T. online}, number = {5}, issn = {2193-4193}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19486}, pages = {489 -- 492}, year = {2024}, abstract = {Schon vor dem Meisterst{\"u}ck ChatGPT von OpenAI im November 2022 sammelten Bibliotheken in Deutschland auf ganz unterschiedliche Weise Erfahrungen beim Einsatz von Technologien, welche der sogenannten K{\"u}nstlichen Intelligenz zuzurechnen sind. Ob auf Konferenzen, in Publikationen oder als Beschreibung im Internet, die vielen Aktivit{\"a}ten sind publik, auch weil das Thema en vogue ist. Bezogen auf die inhaltliche Erschließung aktuell mit dem finnischen Open-Source-Tool annif beginnt der Reigen an der Deutschen Nationalbibliothek und ZBW - Leibniz-Informationszentrum Wirtschaft, bezogen auf Bild- und Filmauswertung an der TIB Hannover mit dem AV-Portal und der Plattform iArts, setzt sich fort mit der Bayerischen Staatsbibliothek eigenen Bavarikon-L{\"o}sung und der reichhaltigen Fotosammlung vom stern-Archiv samit der damit angebotenen Bild{\"a}hnlichkeitssuche. Weitere Beispiele an Projekten und Hilfestellungen lassen sich aufzeigen, wie zur Layout- und Strukturanalyse historischer Zeitungen bis hin zur Qualit{\"a}tssicherung beim Einsatz von Optical Character Recognition (OCR) an der Berliner Staatsbibliothek, im Kontext von Digital Humanities an der HU Berlin mit Quidex, im Zusammenhang mit Forschungsdaten der ORKG von der TIB Hannover, {\"a}hnlich Geoestimation Bildmaterial topographisch zuordnet etc. Große und leistungsstarke Bibliotheken mit teils eigenen Forschungs- und Entwicklungskapazit{\"a}ten k{\"o}nnen bereits auf umfangreiches, teils zehnj{\"a}hriges Erfahrungswissen zur{\"u}ckgreifen. Seit 2023 bieten zahlreiche Hochschul- und Universit{\"a}tsbibliotheken zudem Unterst{\"u}tzung bei KI-Tools f{\"u}r Recherchen nach Publikationen, Schreibwerkst{\"a}tten oder zu Analyse von pdf-Dokumenten ihren Zielgruppen an. Mit dem V{\"O}BB in Berlin startete die erste {\"O}ffentliche Bibliothek, ihre Katalog- und Metadaten seit Mitte 2024 {\"u}ber einen Chatbot 'erfahrbar' zu machen. Erste informelle Arbeitsgruppen fanden sich zusammen, wie z.B. beim DINI oder in Bibliotheksverb{\"u}nden. Zentralste Anlaufstelle in der Dokumentation zu KI-Ausf{\"u}hrungen ist bislang das Bibliotheksportal, die BiblioCon j{\"a}hrlich verl{\"a}ssliche B{\"u}hne, f{\"u}r die Pr{\"a}sentation und Diskussion anliegender Themen. Dennoch ist man im Bereich der Hochschul- und Universit{\"a}tsbibliotheken weit entfernt von einer zentral orchestrierten Aufstellung der Informationseinrichtungen hierzulande zu KI-Technologien, einer Entwicklung, die sich ohnehin anschickt, durchgreifend und nachhaltig Arbeitsprozesse und die Informationslandschaft zu ver{\"a}ndern. Stellenweise werden Aspekte zu KI in Strategieprozessen tangiert. Erw{\"a}hnt seien diese f{\"u}r die Berliner Staatsbibliothek, den Bibliotheksverbund KOBV, die Sektion IV des Deutschen Bibliotheksverbandes, an der UB der FU Berlin etc. Zwei im curricularen Kontext entstandene Arbeiten aus Darmstadt von Frau Balcik und aus M{\"u}nchen/Berlin von Frau Ernst widmen sich dem Status quo mit qualitativen und quantitativen Ans{\"a}tzen, und k{\"o}nnen eine Anregung sein.}, language = {de} } @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} } @article{SeeligerPuppeEwerthetal.2021, author = {Seeliger, Frank and Puppe, Frank and Ewerth, Ralph and Koch, Thorsten and Kasprzik, Anna and Maas, Jan Frederik and Poley, Christoph and M{\"o}dden, Elisabeth and Degkwitz, Andreas and Greifeneder, Elke}, title = {«Work in progress» - Zum erfolgversprechenden Einsatz von KI in Bibliotheken : Diskussionsstand eines White Papers in progress - Teil 1}, series = {B.I.T. online}, volume = {24}, journal = {B.I.T. online}, number = {2}, issn = {2193-4193}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-15130}, pages = {173 -- 178}, year = {2021}, abstract = {Ist die Suche im Bibliothekskatalog ein Auslaufmodell? Oder die Frage sei erlaubt, unter welchen Bedingungen es Bibliotheken schaffen k{\"o}nnten, dass Nutzer/-innen die Erstsuche nach Informationen {\"u}ber sie laufen lassen? Das sind beispielhafte Fragen, die man sich angesichts gewonnener Erfahrungen aus bisherigen Innovationen stellen kann, aber ebenfalls mit Blick auf das, was Neues an Technologien sich auf dem Markt befindet und zunehmend viele Lebensbereiche durchdringt. Das Forschungsgebiet der K{\"u}nstlichen Intelligenz (KI) ist in aller Munde und fordert von Informationseinrichtungen eine Antwort darauf, ob der Einsatz von KI-Technologien als weitere Facette der Automatisierung und Digitalisierung von Workflows und Service in Bibliotheken sinnvoll und hilfreich, und ob Engagement auf dieser Linie notwendig ist. Auch wenn sich Bibliotheken in ihrem steten Bem{\"u}hen um Innovation mit ihrer Belegschaft und Leitungen noch differenziert bis reserviert zu KI bekennen, ist ein weiterer Verlauf der Entwicklungen gem{\"a}ß dem chinesischen Sprichwort: Was du nicht aufhalten kannst, solltest du begr{\"u}ßen, absehbar. Was heißt das aber f{\"u}r Bibliotheken, den Wandel zu gestalten bis hin zu dem Moment, wenn ein Dienst {\"u}ber die Pilot-, Prototyp- und damit Projektphase hinaus als fester Bestandteil des Serviceangebots fest etabliert und verstetigt werden soll? Welche Ressourcen und Kompetenzen sind z.B. in der Konsequenz von der Einrichtung selbst vorzuhalten? Weitere Fragen betreffen die Bew{\"a}ltigung der Masse an Daten und ihre Offenheit f{\"u}r die Anwendung von KI-Algorithmen.}, language = {de} } @misc{Mecking2023, type = {Master Thesis}, author = {Mecking, Elisabeth}, title = {Automatisierte Vergabe von Notationen der Regensburger Verbundklassifikation RVK mithilfe des Toolkits Annif}, doi = {10.15771/MA_2023_1}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18454}, school = {Technische Hochschule Wildau}, pages = {74}, year = {2023}, abstract = {Das Toolkit Annif ist ein modulares Werkzeug zur automatisierten Sacherschließung, mit dem {\"u}ber verschiedene Verfahren des maschinellen Lernens Schlagw{\"o}rter oder Notationen zu Dokumenten vorgeschlagen werden. In dieser Arbeit wird untersucht, ob mit Annif Ergebnisse erzielt werden k{\"o}nnen, die einen praktischen Einsatz f{\"u}r Bibliotheken im deutschsprachigen Raum rechtfertigen. Getestet wird die Vergabe von Notationen der Regensburger Verbundklassifikation (RVK) an deutschsprachigen monografischen Texten. Dabei wird auch untersucht, wie aufw{\"a}ndig die Beschaffung und Aufbereitung von geeigneten Daten f{\"u}r das Training ist. Es wird eine Auswahl von drei angebotenen Verfahren evaluiert. Hierzu werden Metadaten mit RVK-Notationen der Hauptgruppe S beispielhaft ausgewertet. Zus{\"a}tzlich wird getestet, ob ein Training mit Volltexten die Qualit{\"a}t der Ergebnisse verbessert. Die Arbeit zeigt auf, welches Verfahren f{\"u}r die ausgew{\"a}hlten Daten am besten geeignet ist und erl{\"a}utert, welche Herausforderungen es in Bezug auf die Vergabe von RVK-Notationen gibt und welche Aspekte bei der Zusammensetzung der Trainingsdaten besonders ber{\"u}cksichtigt werden m{\"u}ssen.}, language = {de} } @article{SeeligerPuppeEwerthetal.2021, author = {Seeliger, Frank and Puppe, Frank and Ewerth, Ralph and Koch, Thorsten and Kasprzik, Anna and Maas, Jan Frederik and Poley, Christoph and M{\"o}dden, Elisabeth and Degkwitz, Andreas and Greifeneder, Elke}, title = {«Work in progress» - Zum erfolgversprechenden Einsatz von KI in Bibliotheken : Diskussionsstand eines White Papers in progress - Teil 2}, series = {B.I.T. online}, volume = {24}, journal = {B.I.T. online}, number = {3}, issn = {2193-4193}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-15148}, pages = {290 -- 299}, year = {2021}, abstract = {Ist der Suchschlitz ein Vintage Look\&Feel des letzten Jahrhunderts? Oder - die Frage sei erlaubt, - unter welchen Bedingungen es Bibliotheken schaffen k{\"o}nnten, dass Nutzerinnen und Nutzer die Erstsuche nach Informationen {\"u}ber sie laufen lassen? Das sind beispielhafte Fragen, die man sich angesichts gewonnener Erfahrungen aus bisherigen Innovationen stellen kann, aber ebenfalls mit Blick auf das, was Neues an Technologien sich auf dem Markt befindet und zunehmend viele Lebensbereiche durchdringt. Das Forschungsgebiet der K{\"u}nstlichen Intelligenz (KI) ist in aller Munde und fordert von Informationseinrichtungen eine Antwort darauf, ob der Einsatz von KI-Technologien als weitere Facette der Automatisierung und Digitalisierung von Workflows und Service in Bibliotheken sinnvoll und hilfreich, und ob Engagement auf dieser Linie notwendig ist. Auch wenn sich Bibliotheken in ihrem steten Bem{\"u}hen um Innovation mit ihrer Belegschaft und Leitungen noch differenziert bis reserviert zu KI bekennen, ist ein weiterer Verlauf der Entwicklungen gem{\"a}ß dem chinesischen Sprichwort "Was du nicht aufhalten kannst, solltest du begr{\"u}ßen", absehbar. Was heißt das aber f{\"u}r Bibliotheken, den Wandel zu gestalten bis hin zu dem Moment, wenn ein Dienst {\"u}ber die Pilot-, Prototyp- und damit Projektphase hinaus als fester Bestandteil des Serviceangebots fest etabliert und verstetigt werden soll? Welche Ressourcen und Kompetenzen sind z.B. in der Konsequenz von der Einrichtung selbst vorzuhalten? Weitere Fragen betreffen die Bew{\"a}ltigung der Masse an Daten und ihre Offenheit f{\"u}r die Anwendung von KI-Algorithmen.}, language = {de} } @misc{DiazSchmadlSchuttetal.2000, author = {Diaz, Gerardo and Schmadl, Josef and Schutt, Thomas and Sen, Mihir}, title = {Modellierung des W{\"a}rme{\"u}bergangs beim Blasensieden in freier Konvektion mit k{\"u}nstlichen neuronalen Netzen : Teil I ; Literatur{\"u}bersicht}, series = {Wissenschaftliche Beitr{\"a}ge 2/2000}, volume = {5}, journal = {Wissenschaftliche Beitr{\"a}ge 2/2000}, number = {2}, issn = {0949-8214}, doi = {10.15771/0949-8214_2000_2_5}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-7034}, pages = {30 -- 35}, year = {2000}, abstract = {Ein k{\"u}nstliches neuronales Netz (KNN) ist dem biologischen neuronalen Netz, wie es z. B. im menschlichen Gehirn vorliegt, nachempfunden. Dieses besteht aus 10^10 bis 10^11 Nervenzellen (Neuronen), wobei jeweils eine mit 10^3 bis 10^4 anderen Zellen verbunden ist. Eine Zelle besteht u. a. aus dem Zellk{\"o}rper mit Zellkern, Dendriten und Synapsen. {\"U}ber die Dendriten erh{\"a}lt die Zelle elektrische Impulse, die im Zellkern aufsummiert werden. Wird ein Schwellwert (engl. bias) {\"u}berschritten, so wird ein Signal {\"u}ber die Synapsen an andere Neuronen gesendet. Analog enth{\"a}lt ein KNN „k{\"u}nstliche", formal-mathematische Neuronen, die in Schichten (engl. layer) angeordnet und {\"u}ber Synapsen nach bestimmten Regeln miteinander verkn{\"u}pft sind. Durch die Vielzahl von Verkn{\"u}pfungsm{\"o}glichkeiten ergeben sich eine Vielzahl von KNN-Typen und -Anwendungen. In dieser Arbeit werden das Funktionsprinzip des formalen Neurons, wichtige Netztypen und KNN-Anwendungen in der W{\"a}rme{\"u}bertragung besprochen.}, language = {de} } @misc{DiazSchmadlSchuttetal.2000, author = {Diaz, Gerardo and Schmadl, Josef and Schutt, Thomas and Sen, Mihir}, title = {Modellierung des W{\"a}rme{\"u}bergangs beim Blasensieden in freier Konvektion mit k{\"u}nstlichen neuronalen Netzen : Teil II ; Einstoffsysteme}, series = {Wissenschaftliche Beitr{\"a}ge 2/2000}, volume = {5}, journal = {Wissenschaftliche Beitr{\"a}ge 2/2000}, number = {2}, issn = {0949-8214}, doi = {10.15771/0949-8214_2000_2_6}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-7046}, pages = {36 -- 42}, year = {2000}, abstract = {An artificial neural network (ANN) type multilayerperceptron with sigmoid activation function and errorbackpropagation learning algorithm was applied to predict heat transfer performances in a wide range of pressure and wall superheat at bubble boiling in free convection of two single component systems. For both systems the ANN prediction results were compared with the commonly used conventional correlation and gave in one case a comparable in the other a better accuracy. To improve the accuracy of ANN prediction it is possible to use interpolated experimental data for training and to optimise the network configuration.}, language = {de} } @misc{SmithRichterRies1998, author = {Smith, Roger and Richter, Asta and Ries, Ronald}, title = {Foundations of a Virtual Laboratory}, series = {Wissenschaftliche Beitr{\"a}ge 2/1998}, volume = {4}, journal = {Wissenschaftliche Beitr{\"a}ge 2/1998}, number = {2}, issn = {0949-8214}, doi = {10.15771/0949-8214_1998_2_24}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-7689}, pages = {120 -- 124}, year = {1998}, abstract = {A project was funded by the European Union to build foundations for a virtual laboratory where experimental and theoretical results could be combined into an audio-visual interactive presentation through the use of modern computers. The process of thin film growth and modification by energetic ion beams was chosen as the first topic for this new educational tool. Different models for thin film growth are developed and compared to experimental results in the presentation. Particular examples include spiral formation, modelled using cellular automata, island growth using Monte-Carlo methods and the first few layers of growth using classical molecular dynamics. Most of the examples are related to the growth of C60 films for which a number of experimental results had been obtained and previously reported in this journal [1]. The principle property under investigation was the structure and morphology of the films. Nine separate computer movies of the dynamics of these processes were developed on a fast PC under Windows95 and incorporated into a computer presentation made using the Authorware package. Experimental images obtained from a scanning force microscope were also included and compared to the computer models along with music and verbal explanation. In addition to the interactive version of the multi-media presentation, a non-interactive version was also made which is suitable for lectures or conference presentation. This version lasts approximately 25 minutes. Approximately 100 CD's of this work were made and are being distributed to various laboratories. A copy of the CD is available on request.}, language = {en} } @misc{Richter1998, author = {Richter, Asta}, title = {"Computersimulation \& Computergraphik" : Sommerschule vom 22.-26. September 1997 an der TFH Wildau}, series = {Wissenschaftliche Beitr{\"a}ge 2/1998}, volume = {4}, journal = {Wissenschaftliche Beitr{\"a}ge 2/1998}, number = {2}, issn = {0949-8214}, doi = {10.15771/0949-8214_1998_2_18}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-7626}, pages = {95 -- 97}, year = {1998}, abstract = {Ziel der Sommerschule "Computersimulation \& Computergraphik" war es, in einem Piloprojekt Kontakte, Wissensaustausch und Vernetzung zwischen verschiedenen Fachdisziplinen {\"u}ber gemeinsam genutzte moderne Medien und Computertechniken zu erreichen. Gleichzeitig wurden praktische Fertigkeiten f{\"u}r die Computersimulation und Computergraphik vermittelt und interessante Anwendungen in Technik und Wirtschaft demonstriert. Es wurde w{\"a}hrend dieser Woche auf anschauliche und praktische Weise anhand verschiedener Softwarepakete eine Einf{\"u}hrung in die komplexe Thematik gegeben und gezeigt, wie Visualisierung auf PCs und im Internet realisiert werden kann.}, language = {de} } @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} } @techreport{FilipovicBurchardtHirsbrunneretal.2025, type = {Working Paper}, author = {Filipovic, Alexander and Burchardt, Aljoscha and Hirsbrunner, Simon David and Michel, Antje and Puzio, Anna and Reinmann, Gabi and Schaumann, Philipp and Schroll, Anja-Lisa and Tippe, Ulrike and Wan, Martin and Wilder, Nicolaus}, title = {K{\"u}nstliche Intelligenz: Grundlagen f{\"u}r das Handeln in der Hochschullehre}, number = {86}, publisher = {Edition Stifterverband - Verwaltungsgesellschaft f{\"u}r Wissenschaftspflege}, address = {Essen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20711}, year = {2025}, abstract = {Wie ver{\"a}ndert K{\"u}nstliche Intelligenz Studium, Lehre und Pr{\"u}fungen? Hochschulen stehen vor der Herausforderung, KI nicht nur zu integrieren, sondern auch reflektiert mit ihren Auswirkungen umzugehen. Das neue Arbeitspapier der HFD-AG "K{\"u}nstliche Intelligenz: essentielle Kompetenzen an Hochschulen" beleuchtet diese Fragen mit einem szenariobasierten Ansatz - und leitet daraus zentrale Kompetenzfelder f{\"u}r Hochschulakteure ab. Die Publikation skizziert drei Szenarien zu KI-Herausforderungen an Hochschulen: Pr{\"u}fungen und akademische Integrit{\"a}t thematisieren den Einsatz von KI in Hausarbeiten und die Notwendigkeit neuer Pr{\"u}fungsformate. Lernprozesse und Autonomie beleuchten die Balance zwischen personalisiertem KI-Feedback und der F{\"o}rderung studentischer Selbstst{\"a}ndigkeit. Forschung und ethische Verantwortung zeigt die Gratwanderung zwischen KI-gest{\"u}tzter Hassrede-Erkennung und Datenschutz. Zu den zentralen Learnings geh{\"o}rt, dass Hochschulen Pr{\"u}fungen als Reflexionsr{\"a}ume gestalten sollten, in denen Analyse, kreative Anwendung und Entscheidungsbegr{\"u}ndung im Fokus stehen, statt reiner Reproduktion. Zudem gilt es, Studierende zur kritischen KI-Nutzung zu bef{\"a}higen und KI-Strategien hochschulweit zu verankern, um technische, didaktische und ethische Herausforderungen gezielt anzugehen.}, language = {de} } @incollection{MoshnikovRykova2025, author = {Moshnikov, Ilia and Rykova, Eugenia}, title = {Collecting minority language data from Twitter (X): A case study of Karelian}, series = {Exploring digitally-mediated communication with corpora : Methods, analyses, and corpus construction}, booktitle = {Exploring digitally-mediated communication with corpora : Methods, analyses, and corpus construction}, editor = {Cotgrove, Louis and Herzberg, Laura and L{\"u}ngen, Harald}, publisher = {De Gruyter Brill}, isbn = {978-3-11-143401-8}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20583}, publisher = {Technische Hochschule Wildau}, pages = {163 -- 186}, year = {2025}, abstract = {The visibility of an endangered language online plays a crucial role in language revitalisation. The internet offers a new domain for using minority languages, especially for speakers living outside the language communities. This article investigates Karelian language visibility on X, formerly known as Twitter, and describes the first corresponding data collection using language-related keywords and hashtags. In total, 2,625 entries written fully or partially in Livvi, South and Viena Karelian were scraped with Postman API. The visibility of Karelian on Twitter (X) has been increasing considerably in the past few years, with Livvi-Karelian being the most prominent dialect. Automatic language detection was tested on such data for Karelian for the first time, and allows the identification of Livvi-Karelian (or a mix of dialects that include Livvi-Karelian) with 99.7\% sensitivity, and South Karelian and Viena Karelian as Livvi-Karelian with 90\% and 73.8\% sensitivity, respectively. The entries were also analysed thematically, and 10 major topics were identified. Since the data was collected using keywords and hashtags related to the Karelian language itself, most of the entries are related to the language and vocabulary in sense of translation or language learning. Language status and policy is another important topic identified in the data. Although language-related topics are the most popular, there are a substantial number of entries on eight further topics. Excluding citations from religious texts and media headlines, 751 Twitter (X) entries could be used for linguistic and sociological research. Further data collection considerations are also discussed.}, language = {en} } @article{RykovaWalther2025, author = {Rykova, Eugenia and Walther, Mathias}, title = {Evaluation of German Automatic Speech Recognition solutions in the context of speech and language therapy support of people with aphasia}, series = {Loquens}, volume = {12}, journal = {Loquens}, publisher = {Centro de Ciencias Humanas y Sociales, Madrid}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20615}, year = {2025}, abstract = {Those who suffer from aphasia benefit from digital speech and language therapy solutions, and automatic speech recognition (ASR) has been already used for giving feedback on the correctness of the answers in naming exercises. AphaDIGITAL application is to provide German-speaking users with detailed feedback on phonemic/phonetic and semantic errors, based on automatic speech and language processing. For this purpose, open-source ASR solutions for German were evaluated on different corpora of atypical speech, including two small datasets with aphasic speech samples. Character error rate, the number of precisely recognized items and empty outputs served as evaluation metrics. The four selected models are generally robust to the deteriorated condition of speech and audio quality and consistently outperform commercial models in atypical speech recognition. Applying error acceptance threshold, additional use of phonemic error rate, and other valuable insights for ASR implementation in aphaDIGITAL are discussed.}, language = {en} } @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} } @article{AzmitiaMohnkeWiechers2016, author = {Azmitia, Alfredo and Mohnke, Janett and Wiechers, Henning}, title = {Wo bin ich? iBeacons im Einsatz in der Bibliothek der TH Wildau}, series = {Bibliothek : Forschung und Praxis}, volume = {40}, journal = {Bibliothek : Forschung und Praxis}, number = {3}, issn = {1865-7648}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-9186}, pages = {395 -- 404}, year = {2016}, abstract = {Mit diesem Beitrag soll der Einsatz von iBeacons als Basis eines Indoor-Ortungssystems in der Hochschulbibliothek der Technischen Hochschule Wildau vorgestellt werden. F{\"u}r die Ortung innerhalb von Geb{\"a}uden sind bisher unterschiedliche Strategien zum Einsatz gekommen. Die von Apple Inc. entwickelte iBeacon-Technologie kommuniziert {\"u}ber Bluetooth Low Energy (BLE) und setzt somit eine Technologie ein, die einen großen Kreis von Nutzern erreicht. Als wesentlicher Teil der Campus-App Unidos Wildau operiert das Ortungssystem auf der Basis des Kartendienstes iCampus Wildau Maps. Gemachte Erfahrungen mit der iBeacon-Technologie werden ebenso im Fokus dieses Beitrags stehen wie Ergebnisse der Implementierung unseres Ortungssystems sowie Pl{\"a}ne f{\"u}r die Weiterentwicklung.}, language = {de} } @misc{Mueller2018, type = {Master Thesis}, author = {M{\"u}ller, Philipp}, title = {Mensch-Maschine-Kommunikation basierend auf Natural Language Processing: Evaluierung von M{\"o}glichkeiten f{\"u}r den Einsatz eines humanoiden Roboters im Kontext einer Hochschulbibliothek}, doi = {10.15771/ma_2018_1}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-10349}, school = {Technische Hochschule Wildau}, pages = {172}, year = {2018}, abstract = {Thematisiert wird der Weg, von einer theoretischen Betrachtung computerlinguistischer Grundlagen der Sprachverarbeitung, bis hin zu einer prototypischen Umsetzung einer Software zur nat{\"u}rlich sprachlichen Dialogkommunikation zwischen Mensch und Roboter. Die Arbeit widmet sich dabei zun{\"a}chst der Bereitstellung theoretischer Grundlagen (Definition, Geschichte, Funktionsweise, Herausforderungen, Aktuelle Lage) von Mensch-Maschine-Kommunikation unter Zuhilfenahme des Natural Language Processings. Darauf basierend werden Anforderungen aufgestellt, die eine softwarem{\"a}ßige Implementierung eines solchen Systems beschreiben. Dies geschieht unter der Beachtung von Rahmenbedingungen durch den themenstellenden Betrieb dieser Arbeit und den Grenzen des Robotersystems. Es folgt eine ausgiebige Evaluierung verschiedener NLP-Systeme anhand des Abgleichs von Anforderungen und zus{\"a}tzlicher Kennziffer-Messungen (Precision, Recall, F1 Score). In diesem Zusammenhang entsteht auch ein Testprogramm, welches ein automatisiertes Evaluierungsverfahren bereitstellt. Die beiden besten NLP-Systeme werden anschließend in ihrer Verwendung detailliert beschrieben. Eine prototypische Implementierung stellt die Verwendung eines NLP-Systems, zur Kommunikation von Mensch und Roboter, in einem konkreten Anwendungsfall unter Beweis.}, language = {de} } @article{MarcosZambranoLopezMolinaBakirGungoretal.2023, author = {Marcos-Zambrano, Laura Judith and L{\´o}pez-Molina, V{\´i}ctor Manuel and Bakir-Gungor, Burcu and Frohme, Marcus and Karaduzovic-Hadziabdic, Kanita and Klammsteiner, Thomas and Ibrahimi, Eliana and Lahti, Leo and Loncar-Turukalo, Tatjana and Dhamo, Xhilda and Simeon, Andrea and Nechyporenko, Alina and Pio, Gianvito and Przymus, Piotr and Sampri, Alexia and Trajkovik, Vladimir and Lacruz-Pleguezuelos, Blanca and Aasmets, Oliver and Araujo, Ricardo and Anagnostopoulos, Ioannis and Aydemir, {\"O}nder and Berland, Magali and Calle, M. Luz and Ceci, Michelangelo and Duman, Hatice and G{\"u}ndoğdu, Aycan and Havulinna, Aki S. and Kaka Bra, Kardokh Hama Najib and Kalluci, Eglantina and Karav, Sercan and Lode, Daniel and Lopes, Marta B. and May, Patrick and Nap, Bram and Nedyalkova, Miroslava and Paci{\^e}ncia, In{\^e}s and Pasic, Lejla and Pujolassos, Meritxell and Shigdel, Rajesh and Sus{\´i}n, Antonio and Thiele, Ines and Truică, Ciprian-Octavian and Wilmes, Paul and Yilmaz, Ercument and Yousef, Malik and Claesson, Marcus Joakim and Truu, Jaak and Carrillo de Santa Pau, Enrique}, title = {A toolbox of machine learning software to support microbiome analysis}, series = {Frontiers in Microbiology}, volume = {14}, journal = {Frontiers in Microbiology}, publisher = {Frontiers}, issn = {1664-302X}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18271}, year = {2023}, abstract = {The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be challenging due to its complexity and high dimensionality. Machine learning (ML) algorithms can process vast amounts of data to uncover informative patterns and relationships within the data, even with limited prior knowledge. Therefore, there has been a rapid growth in the development of software specifically designed for the analysis and interpretation of microbiome data using ML techniques. These software incorporate a wide range of ML algorithms for clustering, classification, regression, or feature selection, to identify microbial patterns and relationships within the data and generate predictive models. This rapid development with a constant need for new developments and integration of new features require efforts into compile, catalog and classify these tools to create infrastructures and services with easy, transparent, and trustable standards. Here we review the state-of-the-art for ML tools applied in human microbiome studies, performed as part of the COST Action ML4Microbiome activities. This scoping review focuses on ML based software and framework resources currently available for the analysis of microbiome data in humans. The aim is to support microbiologists and biomedical scientists to go deeper into specialized resources that integrate ML techniques and facilitate future benchmarking to create standards for the analysis of microbiome data. The software resources are organized based on the type of analysis they were developed for and the ML techniques they implement. A description of each software with examples of usage is provided including comments about pitfalls and lacks in the usage of software based on ML methods in relation to microbiome data that need to be considered by developers and users. This review represents an extensive compilation to date, offering valuable insights and guidance for researchers interested in leveraging ML approaches for microbiome analysis.}, language = {en} } @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} } @article{DoraiSwamyReddyPerezBaronietal.2024, author = {Dorai Swamy Reddy, Keerthi and P{\´e}rez, Eduardo and Baroni, Andrea and Kalishettyhalli Mahadevaiah, Mamathamba and Marschmeyer, Steffen and Fraschke, Mirko and Lisker, Marco and Wenger, Christian and Mai, Andreas}, title = {Optimization of technology processes for enhanced CMOS-integrated 1T-1R RRAM device performance}, series = {The European Physical Journal B : Condensed Matter and Complex Systems}, volume = {97}, journal = {The European Physical Journal B : Condensed Matter and Complex Systems}, publisher = {Springer Nature}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19701}, year = {2024}, abstract = {Implementing artificial synapses that emulate the synaptic behavior observed in the brain is one of the most critical requirements for neuromorphic computing. Resistive random-access memories (RRAM) have been proposed as a candidate for artificial synaptic devices. For this applicability, RRAM device performance depends on the technology used to fabricate the metal-insulator-metal (MIM) stack and the technology chosen for the selector device. To analyze these dependencies, the integrated RRAM devices in a 4k-bit array are studied on a 200 mm wafer scale in this work. The RRAM devices are integrated into two different CMOS transistor technologies of IHP, namely 250 nm and 130 nm and the devices are compared in terms of their pristine state current. The devices in 130 nm technology have shown lower number of high pristine state current devices per die in comparison to the 250 nm technology. For the 130 nm technology, the forming voltage is reduced due to the decrease of HfO₂ dielectric thickness from 8 nm to 5 nm. Additionally, 5\% Al-doped 4 nm HfO₂ dielectric displayed a similar reduction in forming voltage and a lower variation in the values. Finally, the multi-level switching between the dielectric layers in 250 nm and 130 nm technologies are compared, where 130 nm showed a more significant number of conductance levels of seven compared to only four levels observed in 250 nm technology.}, language = {en} } @misc{KoslowskyJanz2011, author = {Koslowsky, Johannes and Janz, Danny}, title = {Einfl{\"u}sse elektronischer Spiele auf die Entwicklung von mobilen Endger{\"a}ten und deren Wert f{\"u}r die Nutzer}, series = {Wissenschaftliche Beitr{\"a}ge 2011}, volume = {15}, journal = {Wissenschaftliche Beitr{\"a}ge 2011}, issn = {0949-8214}, doi = {10.15771/0949-8214_2011_1_4}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus-1052}, pages = {29 -- 37}, year = {2011}, abstract = {Diese Arbeit untersucht die Entwicklung von Spielen auf mobile Endger{\"a}ten und deren Einfluss auf die zugrunde liegenden Technologien. Es wird auf historische, aktuelle sowie zu erwartende Entwicklungen eingegangen. Außerdem wird gezeigt, was uns erwarten wird und wie dies die Nutzer und die Gesellschaft beeinflussen k{\"o}nnte. Es wird auch die im Rahmen dieser Arbeit durchgef{\"u}hrte Befragung ausgewertet und erl{\"a}utert. Diese geht der Frage nach, was sich Nutzer in Zukunft auf mobilen Endger{\"a}ten w{\"u}nschen und wie sie mobile Spiele bereits heute nutzen.}, 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} } @misc{BolleRohrlackMeriacetal.2013, author = {Bolle, Tom-Ole and Rohrlack, Christopher and Meriac, Milosch and Mohnke, Janett}, title = {An indoor localization system using active RFID technology}, series = {Wissenschaftliche Beitr{\"a}ge 2013}, volume = {17}, journal = {Wissenschaftliche Beitr{\"a}ge 2013}, issn = {0949-8214}, doi = {10.15771/0949-8214_2013_1_12}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-2447}, pages = {67 -- 71}, year = {2013}, abstract = {Im Jahr 2009 wurde das "iCampus Wildau" Projekt an der Technischen Hochschule Wildau [FH] initiiert, ein Projekt, das vorrangig durch die Mitarbeit von Studierenden des Studiengangs Telematik gepr{\"a}gt ist und der Leitung von Frau Prof. Dr. Mohnke unterliegt. Das große Ziel liegt in der Schaffung eines mobilen und multilingualen Campus-Informationssystems, das es Besuchern, Studierenden und Mitarbeitern der TH Wildau [FH] erm{\"o}glicht, einen schnellen und {\"u}bersichtlichen Einblick in alle Dom{\"a}nen des Campus zu erhalten. Neben H{\"o}hepunkten in der Softwareentwicklung, darunter die Programmierung von Smartphone- und "Rich Internet"-Applikationen, besch{\"a}ftigen sich die Projektmitarbeiter auch mit der Entwicklung und Evaluation eines Indoor-Ortungs-Systems in der Hochschulbibliothek, das seitens der Hardware auf aktiver RFID-Technik, die im lizenzfreien 2,4 Ghz ISM-Band arbeitet, aufbaut und seitens der Software auf einem open-source Projekt mit dem Namen "OpenBeacon" basiert. ICampus' Ziel ist es, das System durch Anpassung der Firmware der OpenBeacon-RFID-Tags und (Weiter-)entwicklung von Ortungsalgorithmen so zu stabilisieren, dass es auch in kritischen baulichen Gegebenheiten zuverl{\"a}ssige Ergebnisse liefert und universell einsetzbar wird.}, language = {en} } @article{ReinhardtBogdanowArnoldetal.2025, author = {Reinhardt, Heiner and Bogdanow, Boran and Arnold, Roman and Prell, Bastian and Klimant, Philipp and Seifert, Frank and Mahdaviasl, Mahtab and Ihlenfeldt, Steffen}, title = {Objective validation for short-term material flow simulation}, series = {Procedia CIRP}, volume = {134}, journal = {Procedia CIRP}, publisher = {Elsevier}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20554}, pages = {526 -- 531}, year = {2025}, abstract = {Material flow simulation, by means of discrete event simulation (DES), is utilized in various industries to support production planning and control. This is due to the fact that changes to manufacturing systems and production strategies can be virtually examined before actual implementation. Since the manual development and repeated adjustment of simulation models is time-consuming and error-prone, numerous studies suggest computerized model generation and synchronization. However, validation of such generated or synchronized models is rarely considered. Here, we present an extendible objective validation technique for the repeated short-term simulation of a generated model. To illustrate this, the technique is applied to a high-volume automotive production line and a series of simulation cycles.}, language = {en} }