TY - CHAP A1 - Borndörfer, Ralf A1 - Karbstein, Marika A1 - Liebchen, Christian A1 - Lindner, Niels ED - Borndörfer, Ralf ED - Storandt, Sabine T1 - A Simple Way to Compute the Number of Vehicles That Are Required to Operate a Periodic Timetable T2 - 18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2018) N2 - 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. KW - vehicle scheduling KW - periodic timetabling KW - bipartite matching Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-10549 SN - 978-3-95977-096-5 SP - 16:1 EP - 16:15 PB - Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH CY - Wadern ER - TY - JOUR A1 - Höftmann, Alexander A1 - Mummert, Christine A1 - Paschke, Christian A1 - Stemmler, Mario A1 - Tolkiehn, Günter-Ulrich T1 - Secure Mobile Voice Communication on an Open Platform JF - Siddhant - A journal of decision making N2 - 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. KW - voice communication KW - telephony KW - security KW - encryption KW - SSL Y1 - 2010 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-14206 SN - 2231-0657 VL - 2010 IS - 7 SP - 1 EP - 4 ER - TY - JOUR A1 - Bilous, Nataliya A1 - Malko, Vladyslav A1 - Frohme, Marcus A1 - Nechyporenko, Alina T1 - Comparison of CNN-Based Architectures for Detection of Different Object Classes JF - AI N2 - (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. KW - EfficientDet KW - SSD KW - YOLO KW - deep learning KW - neural network KW - object detection Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19634 VL - 5 IS - 4 SP - 2300 EP - 2320 PB - MDPI ER - TY - JOUR A1 - Przymus, Piotr A1 - Rykaczewski, Krzysztof A1 - Martín-Segura, Adrián A1 - Truu, Jaak A1 - De Santa Pau, Enrique Carrillo A1 - Kolev, Mikhail A1 - Naskinova, Irina A1 - Gruca, Aleksandra A1 - Sampri, Alexia A1 - Frohme, Marcus A1 - Nechyporenko, Alina T1 - Deep Learning in Microbiome Analysis: A Comprehensive Review of Neural Network Models JF - Frontiers in Microbiology N2 - 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. KW - clasiffication KW - clustering KW - deep learning KW - natural language processing KW - microbiome Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19889 SN - 1664-302X VL - 15 PB - Frontiers ER - TY - JOUR A1 - Kaltdorf, Kristin Verena A1 - Schulze, Katja A1 - Helmprobst, Frederik A1 - Kollmannsberger, Philip A1 - Dandekar, Thomas A1 - Stigloher, Christian T1 - FIJI Macro 3D ART VeSElecT: 3D Automated Reconstruction Tool for Vesicle Structures of Electron Tomograms JF - PLoS Computational Biology N2 - 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. Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-9218 SN - 1553-7358 VL - 13 IS - 1 ER - TY - CHAP A1 - Seeliger, Frank ED - Felsmann, Christiane ED - Jopp, Belinda ED - Sieberns, Anne T1 - Barrierefreiheit und KI – Eine neue Chance für Bibliotheksangebote? T2 - Praxishandbuch Inklusion in Bibliotheken : barrierefreier Zugang zu Information, Bildung und Kultur N2 - Künstliche Intelligenz (KI) lässt viel erwarten für Barrierefreiheit. Es lässt 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 können Bibliotheken dieses Potenzial nutzen? Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20414 SN - 9783111206943 SP - 421 EP - 426 ER - TY - JOUR A1 - Rykova, Eugenia A1 - Stieben, Christine A1 - Dostovalova, Olga A1 - Wieker, Horst T1 - Connected Driving in German-Speaking Social Media JF - Social Sciences N2 - 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. KW - ITS KW - intelligent transportation system KW - connected driving KW - autonomous driving KW - social media KW - Twitter KW - Reddit Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-16969 SN - 2076-0760 VL - 12 IS - 1 PB - MDPI ER - TY - JOUR A1 - Alekseeva, Victoriia A1 - Nechyporenko, Alina A1 - Frohme, Marcus A1 - Gargin, Vitaliy A1 - Meniailov, Ievgen A1 - Chumachenko, Dmytro T1 - Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation JF - Electronics N2 - 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. KW - CT data KW - deep learning KW - image segmentation KW - U-Net KW - decision support system KW - chronic odontogenic rhinosinusitis KW - machine learning KW - artificial intelligence Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17088 SN - 2079-9292 VL - 12 IS - 5 PB - MDPI ER - TY - JOUR A1 - Langenberg, Anna A1 - Ma, Shih-Chi A1 - Ermakova, Tatiana A1 - Fabian, Benjamin T1 - Formal Group Fairness and Accuracy in Automated Decision Making JF - Mathematics N2 - 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. KW - AI KW - machine learning KW - automated decision making KW - algorithmic bias KW - metric KW - group fairness KW - artificial intelligence Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17323 SN - 2227-7390 VL - 11 IS - 8 PB - MDPI ER - TY - JOUR A1 - Arango Pérez, Andrés T1 - Implementing Augmented Reality in the Flight Deck for Single Pilot Operations JF - Anwendungen und Konzepte der Wirtschaftsinformatik N2 - 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. Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-16649 VL - 9 SP - 60 EP - 72 PB - Arbeitskreis Wirtschaftsinformatik (AKWI) ER - TY - JOUR A1 - Rosendorff, André A1 - Hodes, Alexander A1 - Fabian, Benjamin T1 - Artificial intelligence for last-mile logistics - Procedures and architecture JF - The Online Journal of Applied Knowledge Management (OJAKM) N2 - 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. KW - supply chain management KW - logistics KW - artificial intelligence KW - machine learning KW - business intelligence Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-15586 SN - 2325-4688 VL - 9 IS - 1 SP - 46 EP - 61 PB - The International Institute for Applied Knowledge Management ER - TY - JOUR A1 - D'Elia, Domenica A1 - Truu, Jaak A1 - Lahti, Leo A1 - Berland, Magali A1 - Papoutsoglou, Georgios A1 - Ceci, Michelangelo A1 - Zomer, Aldert A1 - Lopes, Marta B. A1 - Ibrahimi, Eliana A1 - Gruca, Aleksandra A1 - Nechyporenko, Alina A1 - Frohme, Marcus A1 - Klammsteiner, Thomas A1 - Carrillo de Santa Pau, Enrique A1 - Marcos-Zambrano, Laura Judith A1 - Hron, Karel A1 - Pio, Gianvito A1 - Simeon, Andrea A1 - Suharoschi, Ramona A1 - Moreno-Indias, Isabel A1 - Temko, Andriy A1 - Nedyalkova, Miroslava A1 - Apostol, Elena-Simona A1 - Truică, Ciprian-Octavian A1 - Shigdel, Rajesh A1 - Telalović, Jasminka Hasić A1 - Bongcam-Rudloff, Erik A1 - Przymus, Piotr A1 - Jordamović, Naida Babić A1 - Falquet, Laurent A1 - Tarazona, Sonia A1 - Sampri, Alexia A1 - Isola, Gaetano A1 - Pérez-Serrano, David A1 - Trajkovik, Vladimir A1 - Klucar, Lubos A1 - Loncar-Turukalo, Tatjana A1 - Havulinna, Aki S. A1 - Jansen, Christian A1 - Bertelsen, Randi J. A1 - Claesson, Marcus Joakim T1 - Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action JF - Frontiers in Microbiology N2 - 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. KW - microbiome KW - machine learning KW - artificial intelligence KW - standard KW - best practice Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18004 SN - 1664-302X VL - 14 PB - Frontiers ER - TY - CHAP A1 - Moshnikov, Ilia A1 - Rykova, Eugenia ED - Cotgrove, Louis ED - Herzberg, Laura ED - Lüngen, Harald ED - Pisetta, Ines T1 - Little Big Data: Karelian Twitter Corpus T2 - 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 N2 - 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. KW - Karelian KW - minority language recognition KW - Twitter Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18018 UR - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-120953 SN - 978-3-937241-95-1 SP - 142 EP - 147 PB - Leibniz-Institut für Deutsche Sprache (IDS) CY - Mannheim ER - TY - JOUR A1 - Loos, Eugène A1 - Gröpler, Johanna A1 - Goudeau, Marie-Louise Sophie T1 - Using ChatGPT in Education: Human Reflection on ChatGPT’s Self-Reflection JF - Societies N2 - 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. KW - ChatGPT KW - AI KW - text generating KW - education KW - SWOT analysis KW - self-reflection KW - hallucination KW - artificial intelligence Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17966 SN - 2075-4698 VL - 13 IS - 8 PB - MDPI ER - TY - JOUR A1 - Knie, Bernhard A1 - Kubica, Stefan T1 - Hinreichende Spezifikation einer KI-Funktion am Beispiel Fußgängerschutz JF - Anwendungen und Konzepte der Wirtschaftsinformatik N2 - Transparenz und Erklärbarkeit sind essenzielle Faktoren bei der Entwicklung sicherer KI-Modelle für den Fußgängerschutz. Dies ermöglicht nicht nur eine verbesserte Akzeptanz, sondern fördert auch das Vertrauen der Nutzer in die präventiven Fähigkeiten dieser Systeme. Die Integration von Sensoren, maschinellem Lernen und fortschrittlichen Algorithmen ermöglicht eine präzise Analyse von Fußgängerverhalten und Umgebungsfaktoren. Dabei spielt die Echtzeitverarbeitung eine entscheidende Rolle, um schnell auf sich ändernde Situationen zu reagieren. Zusätzlich zur Technologieentwicklung betont diese Analyse die Notwendigkeit strikter Sicherheitsmaßnahmen, um potenzielle Risiken und Sicherheitslücken zu minimieren. Dazu gehören Sicherheitsprotokolle für 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. KW - KI-Modell KW - Automotiv KW - Fußgängerschutz Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18410 UR - https://akwi.hswlu.ch/article/view/4569 SN - 2296-4592 IS - 18 SP - 59 EP - 64 PB - Hochschule Luzern ER - TY - JOUR A1 - Schilling, Vincent A1 - Beyerlein, Peter A1 - Chien, Jeremy T1 - A Bioinformatics Analysis of Ovarian Cancer Data Using Machine Learning JF - Algorithms N2 - 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. KW - ovarian cancer KW - machine learning KW - SHAP KW - diagnostic biomarker KW - platinum resistance Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17751 VL - 16 IS - 7 PB - MDPI ER - TY - JOUR A1 - Fernholz, Yannick A1 - Ermakova, Tatiana A1 - Fabian, Benjamin A1 - Buxmann, Peter T1 - User-driven prioritization of ethical principles for artificial intelligence systems JF - Computers in Human Behavior: Artificial Humans N2 - 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. KW - artificial intelligence KW - ethics KW - ethical guidelines KW - trustworthy AI KW - requirements prioritization Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18509 SN - 2949-8821 VL - 2 IS - 1 PB - Elsevier ER - TY - JOUR A1 - Dhiman, Rachit A1 - Miteff, Sofia A1 - Wang, Yuancheng A1 - Ma, Shih-Chi A1 - Amirikas, Ramila A1 - Fabian, Benjamin T1 - Artificial Intelligence and Sustainability—A Review JF - Analytics N2 - 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. KW - artificial intelligence KW - AI KW - sustainability KW - systematic mapping study Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18651 SN - 2813-2203 VL - 3 IS - 1 SP - 140 EP - 164 PB - MDPI ER - TY - JOUR A1 - Kallabis, Conrad A1 - Beyerlein, Peter A1 - Lisdat, Fred T1 - Quantitative determination of dopamine in the presence of interfering substances supported by machine learning tools JF - Bioelectrochemistry N2 - 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. KW - dopamine KW - voltammetric detection KW - interference KW - magnesium ion KW - multiple linear regression KW - Bayesian linear regression KW - multivariate calibration models Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19277 SN - 1567-5394 VL - 157 IS - 108667 ER - TY - JOUR A1 - Nechyporenko, Alina A1 - Frohme, Marcus A1 - Strelchuk, Yaroslav A1 - Omelchenko, Vladyslav A1 - Gargin, Vitaliy A1 - Ishchenko, Liudmyla A1 - Alekseeva, Victoriia T1 - Galvanic Skin Response and Photoplethysmography for Stress Recognition Using Machine Learning and Wearable Sensors JF - Applied Sciences N2 - 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. KW - galvanic skin response KW - machine learning KW - photoplethysmography KW - stress Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19803 VL - 14 IS - 24 PB - MDPI ER - TY - JOUR A1 - Balcik, Sinem Ahsen A1 - Ernst, Leonie A1 - Seeliger, Frank T1 - Bibliotheken und KI: in den Startlöchern mit Plan oder nur vereinzelt unterwegs? JF - B.I.T. online N2 - Schon vor dem Meisterstück ChatGPT von OpenAI im November 2022 sammelten Bibliotheken in Deutschland auf ganz unterschiedliche Weise Erfahrungen beim Einsatz von Technologien, welche der sogenannten Künstlichen Intelligenz zuzurechnen sind. Ob auf Konferenzen, in Publikationen oder als Beschreibung im Internet, die vielen Aktivitäten 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-Lösung und der reichhaltigen Fotosammlung vom stern-Archiv samit der damit angebotenen Bildähnlichkeitssuche. Weitere Beispiele an Projekten und Hilfestellungen lassen sich aufzeigen, wie zur Layout- und Strukturanalyse historischer Zeitungen bis hin zur Qualitätssicherung 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, ähnlich Geoestimation Bildmaterial topographisch zuordnet etc. Große und leistungsstarke Bibliotheken mit teils eigenen Forschungs- und Entwicklungskapazitäten können bereits auf umfangreiches, teils zehnjähriges Erfahrungswissen zurückgreifen. Seit 2023 bieten zahlreiche Hochschul- und Universitätsbibliotheken zudem Unterstützung bei KI-Tools für Recherchen nach Publikationen, Schreibwerkstätten oder zu Analyse von pdf-Dokumenten ihren Zielgruppen an. Mit dem VÖBB in Berlin startete die erste Öffentliche Bibliothek, ihre Katalog- und Metadaten seit Mitte 2024 über einen Chatbot ‘erfahrbar’ zu machen. Erste informelle Arbeitsgruppen fanden sich zusammen, wie z.B. beim DINI oder in Bibliotheksverbünden. Zentralste Anlaufstelle in der Dokumentation zu KI-Ausführungen ist bislang das Bibliotheksportal, die BiblioCon jährlich verlässliche Bühne, für die Präsentation und Diskussion anliegender Themen. Dennoch ist man im Bereich der Hochschul- und Universitätsbibliotheken 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 verändern. Stellenweise werden Aspekte zu KI in Strategieprozessen tangiert. Erwähnt seien diese für 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 München/Berlin von Frau Ernst widmen sich dem Status quo mit qualitativen und quantitativen Ansätzen, und können eine Anregung sein. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19486 SN - 2193-4193 VL - 27 IS - 5 SP - 489 EP - 492 ER - TY - CHAP A1 - Zissel, Hardy A1 - Kissig, Jan A1 - Seeliger, Frank T1 - New RFID-apps: HF-Based Stock Management by Mobile Solution and Producing Usage Statistics on Non-Lending Colleges (e.g. Periodicals) T2 - 2012 IATUL Proceedings N2 - 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. KW - RFID-based inventory KW - RFID-based usage-statistics Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20037 UR - https://docs.lib.purdue.edu/iatul/2012/papers/30/ PB - IATUL International Association of University Libraries ER - TY - JOUR A1 - Seeliger, Frank A1 - Puppe, Frank A1 - Ewerth, Ralph A1 - Koch, Thorsten A1 - Kasprzik, Anna A1 - Maas, Jan Frederik A1 - Poley, Christoph A1 - Mödden, Elisabeth A1 - Degkwitz, Andreas A1 - Greifeneder, Elke T1 - «Work in progress» – Zum erfolgversprechenden Einsatz von KI in Bibliotheken : Diskussionsstand eines White Papers in progress – Teil 1 JF - B.I.T. online N2 - Ist die Suche im Bibliothekskatalog ein Auslaufmodell? Oder die Frage sei erlaubt, unter welchen Bedingungen es Bibliotheken schaffen könnten, dass Nutzer/-innen die Erstsuche nach Informationen über 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 Künstlichen 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 Bemühen um Innovation mit ihrer Belegschaft und Leitungen noch differenziert bis reserviert zu KI bekennen, ist ein weiterer Verlauf der Entwicklungen gemäß dem chinesischen Sprichwort: Was du nicht aufhalten kannst, solltest du begrüßen, absehbar. Was heißt das aber für Bibliotheken, den Wandel zu gestalten bis hin zu dem Moment, wenn ein Dienst über 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 Bewältigung der Masse an Daten und ihre Offenheit für die Anwendung von KI-Algorithmen. Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-15130 UR - https://www.b-i-t-online.de/heft/2021-02-fachbeitrag-seeliger SN - 2193-4193 VL - 24 IS - 2 SP - 173 EP - 178 ER - TY - THES A1 - Mecking, Elisabeth T1 - Automatisierte Vergabe von Notationen der Regensburger Verbundklassifikation RVK mithilfe des Toolkits Annif T1 - Automated subject classification for classes of the Regensburger Verbundklassifikation using the toolkit Annif N2 - Das Toolkit Annif ist ein modulares Werkzeug zur automatisierten Sacherschließung, mit dem über verschiedene Verfahren des maschinellen Lernens Schlagwörter oder Notationen zu Dokumenten vorgeschlagen werden. In dieser Arbeit wird untersucht, ob mit Annif Ergebnisse erzielt werden können, die einen praktischen Einsatz für Bibliotheken im deutschsprachigen Raum rechtfertigen. Getestet wird die Vergabe von Notationen der Regensburger Verbundklassifikation (RVK) an deutschsprachigen monografischen Texten. Dabei wird auch untersucht, wie aufwändig die Beschaffung und Aufbereitung von geeigneten Daten für das Training ist. Es wird eine Auswahl von drei angebotenen Verfahren evaluiert. Hierzu werden Metadaten mit RVK-Notationen der Hauptgruppe S beispielhaft ausgewertet. Zusätzlich wird getestet, ob ein Training mit Volltexten die Qualität der Ergebnisse verbessert. Die Arbeit zeigt auf, welches Verfahren für die ausgewählten Daten am besten geeignet ist und erläutert, welche Herausforderungen es in Bezug auf die Vergabe von RVK-Notationen gibt und welche Aspekte bei der Zusammensetzung der Trainingsdaten besonders berücksichtigt werden müssen. N2 - Annif is a modular toolkit for automated subject indexing that is used to suggest subject keywords or class notations for documents using various machine learning methods. This thesis examines whether Annif can be used to achieve results that justify its practical use for libraries in German-speaking countries. An assignment of class notations of the Regensburger Verbundklassifikation (RVK, a common German classification system) to German-language monographic resources will be tested. The effort which is needed to receive data and prepare it for use in Annif will also be assessed. A selection of metadata which contain class notations of topics linked to the letter S in the RVK will be used to evaluate the system. In addition, it will be tested whether a use of full texts for training will increase the quality of the results. The work shows which method is best suited for the selected data and explains the challenges which arise regarding the assignment of RVK class notations and discusses aspects which must be given special consideration in the composition of the training data. KW - Maschinelles Lernen KW - Klassifikation KW - Regensburger Verbundklassifikation Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18454 ER - TY - JOUR A1 - Seeliger, Frank A1 - Puppe, Frank A1 - Ewerth, Ralph A1 - Koch, Thorsten A1 - Kasprzik, Anna A1 - Maas, Jan Frederik A1 - Poley, Christoph A1 - Mödden, Elisabeth A1 - Degkwitz, Andreas A1 - Greifeneder, Elke T1 - «Work in progress» – Zum erfolgversprechenden Einsatz von KI in Bibliotheken : Diskussionsstand eines White Papers in progress – Teil 2 JF - B.I.T. online N2 - Ist der Suchschlitz ein Vintage Look&Feel des letzten Jahrhunderts? Oder - die Frage sei erlaubt, - unter welchen Bedingungen es Bibliotheken schaffen könnten, dass Nutzerinnen und Nutzer die Erstsuche nach Informationen über 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 Künstlichen 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 Bemühen um Innovation mit ihrer Belegschaft und Leitungen noch differenziert bis reserviert zu KI bekennen, ist ein weiterer Verlauf der Entwicklungen gemäß dem chinesischen Sprichwort "Was du nicht aufhalten kannst, solltest du begrüßen", absehbar. Was heißt das aber für Bibliotheken, den Wandel zu gestalten bis hin zu dem Moment, wenn ein Dienst über 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 Bewältigung der Masse an Daten und ihre Offenheit für die Anwendung von KI-Algorithmen. Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-15148 UR - https://www.b-i-t-online.de/heft/2021-03-fachbeitrag-seeliger SN - 2193-4193 VL - 24 IS - 3 SP - 290 EP - 299 ER - TY - GEN A1 - Diaz, Gerardo A1 - Schmadl, Josef A1 - Schutt, Thomas A1 - Sen, Mihir T1 - Modellierung des Wärmeübergangs beim Blasensieden in freier Konvektion mit künstlichen neuronalen Netzen : Teil I ; Literaturübersicht T2 - Wissenschaftliche Beiträge 2/2000 N2 - Ein künstliches 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 Zellkörper mit Zellkern, Dendriten und Synapsen. Über die Dendriten erhält die Zelle elektrische Impulse, die im Zellkern aufsummiert werden. Wird ein Schwellwert (engl. bias) überschritten, so wird ein Signal über die Synapsen an andere Neuronen gesendet. Analog enthält ein KNN „künstliche“, formal-mathematische Neuronen, die in Schichten (engl. layer) angeordnet und über Synapsen nach bestimmten Regeln miteinander verknüpft sind. Durch die Vielzahl von Verknüpfungsmöglichkeiten 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 Wärmeübertragung besprochen. Y1 - 2000 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-7034 SN - 0949-8214 VL - 5 IS - 2 SP - 30 EP - 35 ER - TY - GEN A1 - Diaz, Gerardo A1 - Schmadl, Josef A1 - Schutt, Thomas A1 - Sen, Mihir T1 - Modellierung des Wärmeübergangs beim Blasensieden in freier Konvektion mit künstlichen neuronalen Netzen : Teil II ; Einstoffsysteme T2 - Wissenschaftliche Beiträge 2/2000 N2 - 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. Y1 - 2000 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-7046 SN - 0949-8214 VL - 5 IS - 2 SP - 36 EP - 42 ER - TY - GEN A1 - Smith, Roger A1 - Richter, Asta A1 - Ries, Ronald T1 - Foundations of a Virtual Laboratory T2 - Wissenschaftliche Beiträge 2/1998 N2 - 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. Y1 - 1998 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-7689 SN - 0949-8214 VL - 4 IS - 2 SP - 120 EP - 124 ER - TY - GEN A1 - Richter, Asta T1 - "Computersimulation & Computergraphik" : Sommerschule vom 22.-26. September 1997 an der TFH Wildau T2 - Wissenschaftliche Beiträge 2/1998 N2 - Ziel der Sommerschule "Computersimulation & Computergraphik" war es, in einem Piloprojekt Kontakte, Wissensaustausch und Vernetzung zwischen verschiedenen Fachdisziplinen über gemeinsam genutzte moderne Medien und Computertechniken zu erreichen. Gleichzeitig wurden praktische Fertigkeiten für die Computersimulation und Computergraphik vermittelt und interessante Anwendungen in Technik und Wirtschaft demonstriert. Es wurde während dieser Woche auf anschauliche und praktische Weise anhand verschiedener Softwarepakete eine Einführung in die komplexe Thematik gegeben und gezeigt, wie Visualisierung auf PCs und im Internet realisiert werden kann. Y1 - 1998 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-7626 SN - 0949-8214 VL - 4 IS - 2 SP - 95 EP - 97 ER - TY - CHAP A1 - Rykova, Eugenia A1 - Walther, Mathias ED - of Hawai’i at Manoa, University T1 - AphaDIGITAL – Digital Speech Therapy Solution for Aphasia Patients with Automatic Feedback Provided by a Virtual Assistant T2 - Proceedings of the 57th Hawaii International Conference on System Sciences N2 - 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. KW - automatic speech recognition KW - digital health KW - embodied conversational agent KW - language technology KW - speech and language therapy Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19453 SN - 978-0-9981331-7-1 SP - 3385 EP - 3394 ER - TY - CHAP A1 - Nechyporenko, Alina A1 - Frohme, Marcus A1 - Omelchenko, Vladyslav A1 - Alekseeva, Victoriia A1 - Lupyr, Andrii A1 - Gargin, Vitaliy ED - Shakhovska, Nataliya ED - Kovác, Michal ED - Izonin, Ivan ED - Chrétien, Stéphane T1 - Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning T2 - Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023 N2 - 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%. KW - identification of personality KW - multislice computed tomography KW - deep learning Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0074-3609-1 UR - https://ceur-ws.org/Vol-3609/short2.pdf VL - 3609 SP - 167 EP - 173 PB - CEUR-WS.org ER - TY - CHAP A1 - Chumachenko, Dmytro A1 - Nechyporenko, Alina A1 - Frohme, Marcus ED - Shakhovska, Nataliya ED - Chrétien, Stéphane ED - Izonin, Ivan ED - Campos, Jaime T1 - Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning T2 - Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18 - 20, 2022 N2 - 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. KW - epidemic model KW - machine learning KW - polynomial regression KW - war KW - COVID-19 KW - infectious disease simulation Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19074 UR - https://ceur-ws.org/Vol-3302/short4.pdf VL - 3302 SP - 78 EP - 85 PB - RWTH Aachen ER - TY - CHAP A1 - Wilbers, Simon A1 - Günther, Norman A1 - van de Sand, Ron A1 - Prell, Bastian A1 - Reiff-Stephan, Jörg ED - Reiff-Stephan, Jörg ED - Jäkel, Jens ED - Reichelt, Dirk T1 - Components of reusable prompts for humanity-centered automation T2 - Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter N2 - 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. KW - humanity-centered automation KW - prompt engineering KW - reusable prompt KW - cyber-physical system Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20148 SP - 71 EP - 78 PB - Hochschule für Technik, Wirtschaft und Kultur CY - Leipzig ER - TY - CHAP A1 - Günther, Norman A1 - Prell, Bastian A1 - van de Sand, Ron A1 - Reiff-Stephan, Jörg ED - Reiff-Stephan, Jörg ED - Jäkel, Jens ED - Stöcker, Christian T1 - Industrie 5.0 Lernumgebung am Beispiel der Wildauer Smart Production T2 - Tagungsband AALE 2024 N2 - Die Industrie 5.0 fordert neue Lernansätze und zeitgleich auch passende Lernumgebungen. Parallel müssen diese neben den didaktischen Herausforderungen auch den Transfer- und Übertragungsgedanken auf die industriellen Anwendungen gerecht werden. Durch die täglich steigende Anzahl vielfältiger 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 transdisziplinären Gedanken von Lern- und Transferumgebungen Rechnung trägt, Möglichkeiten der Gestaltung komplexer Produktionssysteme widerspiegelt, die Integration menschzentrierter Ansätze ermöglicht und als Forschungsumgebung eingesetzt wird. KW - Industrie 5.0 KW - Lernumgebung KW - smart production KW - smart factory KW - Künstliche Intelligenz Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18538 N1 - 20. AALE-Konferenz. Bielefeld, 06.03.-08.03.2024 SP - 365 EP - 372 PB - Hochschule für Technik, Wirtschaft und Kultur CY - Leipzig ER - TY - CHAP A1 - Fiebelkorn, Richard A1 - Kugel, Rafael A1 - Günther, Norman A1 - Reiff-Stephan, Jörg ED - Reiff-Stephan, Jörg ED - Jäkel, Jens ED - Reichelt, Dirk T1 - Predictive Maintenance in der Baumpflege – TreeAngel T2 - Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter N2 - Die Gewährleistung der Verkehrssicherheit von Bäumen stellt eine zentrale Herausforderung für Städte und Gemeinden dar. Traditionelle, manuelle Inspektionsmethoden sind zeit- und ressourcenintensiv sowie anfällig für menschliche Fehler. Der folgende Artikel präsentiert ein innovatives System zur automatisierten Baumzustandsbewertung, welches moderne Kameratechnologien und Künstliche 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 präzise Detektion von Bäumen und Schäden, wie beispielsweise Totholz, ermöglicht. Die Ergebnisse des vorgestellten Prototypensystems sind vielversprechend hinsichtlich Genauigkeit und Effizienz. Es zeigt das Potenzial, manuelle Inspektionen durch automatisierte Verfahren zu ergänzen oder zu ersetzen. Die präsentierten Resultate legen den Grundstein für nachhaltige und skalierbare Ansätze in der Baumpflege und können zur Steigerung der öffentlichen Sicherheit und Effizienz im urbanen Management beitragen. KW - Baumpflege KW - machine learning KW - Predictive Maintenance KW - YOLO KW - Maschinelles Lernen Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20193 SP - 251 EP - 259 PB - Hochschule für Technik, Wirtschaft und Kultur CY - Leipzig ER - TY - RPRT A1 - Filipovic, Alexander A1 - Burchardt, Aljoscha A1 - Hirsbrunner, Simon David A1 - Michel, Antje A1 - Puzio, Anna A1 - Reinmann, Gabi A1 - Schaumann, Philipp A1 - Schroll, Anja-Lisa A1 - Tippe, Ulrike A1 - Wan, Martin A1 - Wilder, Nicolaus T1 - Künstliche Intelligenz: Grundlagen für das Handeln in der Hochschullehre BT - Ergebnisse der Arbeitsgruppe "Künstliche Intelligenz: Essenzielle Kompetenzen an Hochschulen" N2 - Wie verändert Künstliche Intelligenz Studium, Lehre und Prüfungen? Hochschulen stehen vor der Herausforderung, KI nicht nur zu integrieren, sondern auch reflektiert mit ihren Auswirkungen umzugehen. Das neue Arbeitspapier der HFD-AG “Künstliche Intelligenz: essentielle Kompetenzen an Hochschulen” beleuchtet diese Fragen mit einem szenariobasierten Ansatz – und leitet daraus zentrale Kompetenzfelder für Hochschulakteure ab. Die Publikation skizziert drei Szenarien zu KI-Herausforderungen an Hochschulen: Prüfungen und akademische Integrität thematisieren den Einsatz von KI in Hausarbeiten und die Notwendigkeit neuer Prüfungsformate. Lernprozesse und Autonomie beleuchten die Balance zwischen personalisiertem KI-Feedback und der Förderung studentischer Selbstständigkeit. Forschung und ethische Verantwortung zeigt die Gratwanderung zwischen KI-gestützter Hassrede-Erkennung und Datenschutz. Zu den zentralen Learnings gehört, dass Hochschulen Prüfungen als Reflexionsräume gestalten sollten, in denen Analyse, kreative Anwendung und Entscheidungsbegründung im Fokus stehen, statt reiner Reproduktion. Zudem gilt es, Studierende zur kritischen KI-Nutzung zu befähigen und KI-Strategien hochschulweit zu verankern, um technische, didaktische und ethische Herausforderungen gezielt anzugehen. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20711 UR - https://hochschulforumdigitalisierung.de/wp-content/uploads/2025/01/HFD_AP_86_Kuenstliche-Intelligenz_Grundlagen-fuer-das-Handeln.pdf IS - 86 PB - Edition Stifterverband – Verwaltungsgesellschaft für Wissenschaftspflege CY - Essen ER - TY - CHAP A1 - Moshnikov, Ilia A1 - Rykova, Eugenia ED - Cotgrove, Louis ED - Herzberg, Laura ED - Lüngen, Harald T1 - Collecting minority language data from Twitter (X): A case study of Karelian T2 - Exploring digitally-mediated communication with corpora : Methods, analyses, and corpus construction N2 - 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. KW - Karelian KW - X (Twitter) KW - automatic language recognition KW - data scraping KW - language policy KW - language revitalisation KW - language status KW - minority language Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20583 SN - 978-3-11-143401-8 SP - 163 EP - 186 PB - De Gruyter Brill ER - TY - JOUR A1 - Rykova, Eugenia A1 - Walther, Mathias T1 - Evaluation of German Automatic Speech Recognition solutions in the context of speech and language therapy support of people with aphasia JF - Loquens N2 - 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. KW - Aphasia KW - automatic speech recognition KW - digital health KW - speech and language therapy Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20615 VL - 12 PB - Centro de Ciencias Humanas y Sociales, Madrid ER - TY - CHAP A1 - Wilbers, Simon A1 - van de Sand, Ron A1 - Prell, Bastian A1 - Reiff-Stephan, Jörg ED - Reiff-Stephan, Jörg ED - Beuster, Anja T1 - Agentic Recommender System Konzept für nachhaltiges Wissensmanagement T1 - Agentic Recommender System Concept for Sustainable Knowledge Management BT - KI-befähigtes Wissensmanagement in Unternehmen BT - AI-Enabled Knowledge Management in Companies T2 - Wildauer Konferenz für Künstliche Intelligenz 2025 (WiKKI25) N2 - Unternehmen stehen vor erheblichen Herausforderungen beim Erhalt, bei der Nutzung und Weitergabe zentralen Wissens. Demografischer Wandel, zunehmender Mitarbeiterfluktuation und steigende organisatorische Komplexität erschweren klassische Dokumentations- und Austauschprozesse, welche auf erhebliche Mitarbeitendenmitwirkung angewiesen sind. Mithilfe generativer KI und agentischer Recommender-Systeme lassen sich diese Hindernisse überwinden, 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 Chatverläufe analysieren, Mitarbeiter gezielt mit Vorschlägen unterstützen und Wissen so kontinuierlich aktualisieren. So entsteht eine effektive Wissenskultur mit niedrigen Barrieren für die Nutzung dank minimalem Mehraufwand für die menschlichen Nutzer. N2 - Companies face considerable challenges in retaining, utilising and passing on key knowledge. Demographic change, increasing employee turnover and growing organisational complexity are making traditional documentation and exchange processes, which rely heavily on employee participation, more difficult. With the help of generative AI and agentic recommender systems, these obstacles can be overcome by capturing important knowledge ‘on the fly’ and in a largely automated manner. A central element here is the combination of semantic embeddings, a graph database and specialised AI agents that analyse documents and chat histories, provide employees with targeted support in the form of suggestions and thus continuously update knowledge. This creates an effective knowledge culture with low barriers to use thanks to minimal additional effort for human users. T3 - TH Wildau Engineering and Natural Sciences Proceedings - 2 KW - graph database KW - knowledge management KW - recommendation system KW - semantic search KW - Wissensmanagement KW - Graphdatenbank KW - Semantische Suche KW - Recommender-System Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20764 PB - TIB Open Publishing CY - Hannover ER - TY - CHAP A1 - Reiff-Stephan, Jörg A1 - Zeise, Dominique ED - Reiff-Stephan, Jörg ED - Beuster, Anja T1 - AI-Based Cooperation Management in the Early Stages of Entrepreneurship: Matchmaking at Start-Up Events T1 - KI-gestütztes Kooperationsmanagement in der frühen Phase des Entrepreneurships BT - Matchmaking auf Gründerveranstaltungen BT - Matchmaking at Start-Up Events T2 - Wildauer Konferenz für Künstliche Intelligenz 2025 (WiKKI25) N2 - 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. N2 - In der heutigen dynamischen Industrie erfordern erfolgreiche Gründungen nicht nur innovative Ideen, sondern auch die richtigen Partner – Künstliche Intelligenz kann helfen, diese effizient und gezielt zusammenzubringen. Der Beitrag thematisiert die Rolle Künstlicher Intelligenz (KI) im Kooperationsmanagement von Gründungsveranstaltungen. Die Autoren stellen das KI-gestützte Matchmaking-Tool „KIKma“ vor, das Gründern, Investoren und Mentoren anhand von Profil- und Interessenanalysen gezielte Kooperationsvorschläge macht. Das System basiert auf einem Transformer-Modell, das Teilnehmerprofile klassifiziert und für gezielte Speed-Dating-Slots Vorschläge generiert. Die Ergebnisse zeigen eine hohe Treffsicherheit, allerdings treten gelegentlich Fehlzuordnungen durch Ambiguitäten auf. Dies könnte durch ein Finetuning des Modells oder eine Optimierung der Fragebögen verbessert werden. Ziel ist es, den Austausch in der Gründerlandschaft zu erleichtern und langfristig ein intelligentes, adaptives Kooperationsnetzwerk zu etablieren. Die Autoren sehen in der kontinuierlichen Optimierung des Matching-Algorithmus großes Potenzial für zukünftige Anwendungen im Innovationsmanagement. T3 - TH Wildau Engineering and Natural Sciences Proceedings - 2 KW - AI match making KW - cooperation management KW - entrepreneurship KW - KI-Matchmaking KW - Kooperationsmanagement KW - Entrepreneurship Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20779 PB - TIB Open Publishing CY - Hannover ER - TY - CHAP A1 - Fiebelkorn, Richard A1 - Kugel, Rafael A1 - Günther, Norman A1 - Reiff-Stephan, Jörg ED - Reiff-Stephan, Jörg ED - Beuster, Anja T1 - Predictive Maintenance in Tree Care - TreeAngel T2 - Wildauer Konferenz für Künstliche Intelligenz 2025 (WiKKI25) N2 - 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. T3 - TH Wildau Engineering and Natural Sciences Proceedings - 2 KW - machine learning KW - predictive maintenance KW - tree care KW - YOLO Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20801 PB - TIB Open Publishing CY - Hannover ER - TY - CHAP A1 - Ojo, Emil A1 - Walther, Mathias ED - Reiff-Stephan, Jörg ED - Beuster, Anja T1 - Emotion Perception in AI-Generated Facial Expressions T1 - Emotionswahrnehmung in KI-generierten Gesichtsausdrücken T2 - Wildauer Konferenz für Künstliche Intelligenz 2025 (WiKKI25) N2 - 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. N2 - Diese Studie analysiert, ob Gesichtsausdrücke in generierten Bildern genauso wahrgenommen werden wie in realen Bildern. Dabei werden die Wahrnehmung der Emotionsintensität und Sympathie, die Fähigkeit zur Emotionserkennung sowie die Unterscheidung zwischen echten und generierten Bildern untersucht. Zur Beantwortung dieser Fragen wurde eine Online-Umfrage mit mehr als 200 Teilnehmern durchgeführt. Die Ergebnisse zeigen geringfügige bis moderate Unterschiede in der Wahrnehmung zwischen generierten und realen Bildern, allerdings wird auch deutlich, dass die Unterscheidung zwischen beiden zunehmend schwieriger wird. T3 - TH Wildau Engineering and Natural Sciences Proceedings - 2 KW - artificial intelligence KW - emotion perception KW - generative AI KW - Künstliche Intelligenz KW - Generative KI KW - Emotionswahrnehmung Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20799 PB - TIB Open Publishing CY - Hannover ER - TY - JOUR A1 - Azmitia, Alfredo A1 - Mohnke, Janett A1 - Wiechers, Henning T1 - Wo bin ich? iBeacons im Einsatz in der Bibliothek der TH Wildau JF - Bibliothek : Forschung und Praxis N2 - Mit diesem Beitrag soll der Einsatz von iBeacons als Basis eines Indoor-Ortungssystems in der Hochschulbibliothek der Technischen Hochschule Wildau vorgestellt werden. Für die Ortung innerhalb von Gebäuden sind bisher unterschiedliche Strategien zum Einsatz gekommen. Die von Apple Inc. entwickelte iBeacon-Technologie kommuniziert über 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 Pläne für die Weiterentwicklung. N2 - This article describes the usage of the iBeacon technology as the basis for an indoor positioning system within the library of the University of Applied Sciences Wildau. Developed by Apple Inc., this technology is based on the widespread Bluetooth Low Energy (BLE) standard, thus allowing the implementation reach a large number of client devices. The article will focus on the gained experiences so far and on the results of the implementation of a positioning algorithm within our iOS and Android apps, as well as the use of our map service, iCampus Wildau Maps, as the interface for displaying the user’s position. It will briefly discuss possible enhancements and present future plans for further development. KW - iBeacon KW - Indoor-Ortung KW - Indoor-Navigation KW - Campus-App KW - Android KW - iOS KW - BLE KW - Telematik KW - Bibliotheksinformatik KW - Bibliotheks-App Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-9186 SN - 1865-7648 VL - 40 IS - 3 SP - 395 EP - 404 ER - TY - THES A1 - Müller, Philipp T1 - Mensch-Maschine-Kommunikation basierend auf Natural Language Processing: Evaluierung von Möglichkeiten für den Einsatz eines humanoiden Roboters im Kontext einer Hochschulbibliothek N2 - Thematisiert wird der Weg, von einer theoretischen Betrachtung computerlinguistischer Grundlagen der Sprachverarbeitung, bis hin zu einer prototypischen Umsetzung einer Software zur natürlich sprachlichen Dialogkommunikation zwischen Mensch und Roboter. Die Arbeit widmet sich dabei zunächst 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 softwaremäßige 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 zusätzlicher 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. KW - Mensch-Maschine-Kommunikation KW - natural language processing KW - NAO Pepper Robot KW - Watson Assistant KW - Rasa Core NLU Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-10349 ER - TY - JOUR A1 - Marcos-Zambrano, Laura Judith A1 - López-Molina, Víctor Manuel A1 - Bakir-Gungor, Burcu A1 - Frohme, Marcus A1 - Karaduzovic-Hadziabdic, Kanita A1 - Klammsteiner, Thomas A1 - Ibrahimi, Eliana A1 - Lahti, Leo A1 - Loncar-Turukalo, Tatjana A1 - Dhamo, Xhilda A1 - Simeon, Andrea A1 - Nechyporenko, Alina A1 - Pio, Gianvito A1 - Przymus, Piotr A1 - Sampri, Alexia A1 - Trajkovik, Vladimir A1 - Lacruz-Pleguezuelos, Blanca A1 - Aasmets, Oliver A1 - Araujo, Ricardo A1 - Anagnostopoulos, Ioannis A1 - Aydemir, Önder A1 - Berland, Magali A1 - Calle, M. Luz A1 - Ceci, Michelangelo A1 - Duman, Hatice A1 - Gündoğdu, Aycan A1 - Havulinna, Aki S. A1 - Kaka Bra, Kardokh Hama Najib A1 - Kalluci, Eglantina A1 - Karav, Sercan A1 - Lode, Daniel A1 - Lopes, Marta B. A1 - May, Patrick A1 - Nap, Bram A1 - Nedyalkova, Miroslava A1 - Paciência, Inês A1 - Pasic, Lejla A1 - Pujolassos, Meritxell A1 - Shigdel, Rajesh A1 - Susín, Antonio A1 - Thiele, Ines A1 - Truică, Ciprian-Octavian A1 - Wilmes, Paul A1 - Yilmaz, Ercument A1 - Yousef, Malik A1 - Claesson, Marcus Joakim A1 - Truu, Jaak A1 - Carrillo de Santa Pau, Enrique T1 - A toolbox of machine learning software to support microbiome analysis JF - Frontiers in Microbiology N2 - 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. KW - microbiome KW - machine learning KW - software KW - feature generation KW - feature analysis KW - data integration KW - microbial gene prediction KW - microbial metabolic modeling Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18271 UR - https://www.frontiersin.org/articles/10.3389/fmicb.2023.1250806/ SN - 1664-302X VL - 14 PB - Frontiers ER - TY - CHAP A1 - Mehner, Caroline A1 - Fernholz, Yannick A1 - Fabian, Benjamin A1 - Ermakova, Tatiana ED - Auth, Gunnar ED - Pidun, Tim T1 - Predictive Policing – Eine kritische Bestandsaufnahme am Beispiel der Dimension Raum T2 - 6. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2023) N2 - Dieser Beitrag bietet eine kritische Bestandsaufnahme des Predictive Policing am Beispiel der Dimension Raum. Unter Berücksichtigung der aktuellen Entwicklungen des europäischen 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 für Predictive Policing untersucht. Der Beitrag eröffnet wichtige Fragen, die es weiter zu erforschen gilt. Die aktuellen Entwicklungen im Rahmen des AI-Acts bestätigen die Relevanz der Thematik. KW - predictive policing KW - Raum KW - Künstliche Intelligenz KW - literature review KW - KI-Ethik Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-18230 SN - 978-3-88579-735-7 N1 - 6. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2023) SP - 55 EP - 67 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - JOUR A1 - Dorai Swamy Reddy, Keerthi A1 - Pérez, Eduardo A1 - Baroni, Andrea A1 - Kalishettyhalli Mahadevaiah, Mamathamba A1 - Marschmeyer, Steffen A1 - Fraschke, Mirko A1 - Lisker, Marco A1 - Wenger, Christian A1 - Mai, Andreas T1 - Optimization of technology processes for enhanced CMOS-integrated 1T-1R RRAM device performance JF - The European Physical Journal B : Condensed Matter and Complex Systems N2 - 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. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19701 VL - 97 PB - Springer Nature ER - TY - GEN A1 - Koslowsky, Johannes A1 - Janz, Danny T1 - Einflüsse elektronischer Spiele auf die Entwicklung von mobilen Endgeräten und deren Wert für die Nutzer T2 - Wissenschaftliche Beiträge 2011 N2 - Diese Arbeit untersucht die Entwicklung von Spielen auf mobile Endgeräten 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 könnte. Es wird auch die im Rahmen dieser Arbeit durchgeführte Befragung ausgewertet und erläutert. Diese geht der Frage nach, was sich Nutzer in Zukunft auf mobilen Endgeräten wünschen und wie sie mobile Spiele bereits heute nutzen. N2 - The influence of electronic games on mobile phone development and their value for the user This research presents the development of mobile games and their influence to the development of underlying technologies. It will take a look at the beginning of the mobile gaming era and the evolution to the current situation. Furthermore it will present possible future developments. Additionally it tries to give a forecast to what will possibly await us, and the attached value for the user as well as the cultural and ecological aspect. It also allocates the results of a public poll, representing the current user acceptance and what developments the mobile phone and mobile game users would like to see and accept in the future. Especially the acceptance of 3d-Games on mobile platforms is studied. Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus-1052 SN - 0949-8214 VL - 15 SP - 29 EP - 37 ER - TY - CHAP A1 - Beuster, Anja A1 - Reiff-Stephan, Jörg ED - Lucke, Ulrike ED - Stieglitz, Stefan ED - Uebernickel, Falk ED - Lamprecht, Anna-Lena ED - Klein, Maike T1 - KI-Kooperationssysteme: Ein Forschungsansatz zur Analyse von Kooperationsnetzwerken in der Anwendung Künstlicher Intelligenz T2 - INFORMATIK 2025 : The Wide Open: Offenheit von Source bis Science N2 - Die digitale Transformation und das Potenzial Künstlicher Intelligenz (KI) stellen insbesondere kleine und mittlere Unternehmen (KMU) vor komplexe Herausforderungen. KI-Technologien bieten einerseits erhebliche Potenziale für Innovationen und Wettbewerbsfähigkeit. Andererseits ist die Nutzung dieser Potenziale voraussetzungsreich und erfordert die Verfügung bzw. den Aufbau von Ressourcen, wie Fachwissen, Daten, finanziellen Ressourcen und IT-Infrastruktur. KI-Kooperationen sind ein zunehmend relevantes strategisches Instrument für KMU, um diesen strukturellen Defiziten zu begegnen und den Unternehmen Zugänge zu benötigten Ressourcen zu ermöglichen. Darüber hinaus können sie im Sinne der organisationalen Ambidextrie die Balance zwischen Exploration, der Suche und Erschließung neuer Handlungsfelder und Exploitation, dem Ausbau etablierter Wertschöpfungspotenziale im Unternehmen und damit langfristig die Wettbewerbsfähigkeit des Mittelstandes unterstützen. 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. KW - Exploitation KW - Exploration KW - KMU KW - Kooperation KW - Künstliche Intelligenz KW - Menschenzentrierte Produktion KW - Organisationale Ambidextrie Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20861 SP - 1373 EP - 1380 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - GEN A1 - Bolle, Tom-Ole A1 - Rohrlack, Christopher A1 - Meriac, Milosch A1 - Mohnke, Janett T1 - An indoor localization system using active RFID technology T2 - Wissenschaftliche Beiträge 2013 N2 - 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 geprägt 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] ermöglicht, einen schnellen und übersichtlichen Einblick in alle Domänen des Campus zu erhalten. Neben Höhepunkten in der Softwareentwicklung, darunter die Programmierung von Smartphone- und "Rich Internet"-Applikationen, beschäftigen 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 zuverlässige Ergebnisse liefert und universell einsetzbar wird. N2 - In 2009 the „icampus Wildau“ project started at the Technical university of applied sciences in Wildau. It is a project mainly driven by students of the Telematics course under the guidance of prof. Dr. Janett mohnke. The main goal is to set up a mobile and multilingual on-campus-information system, providing visitors, students and employees a quick and clear overview of the facilities of the different university domains as well as information about special events. Besides highlights in the field of software development such as programming smartphone and rich internet applications, the icampus project team develops and evaluates an indoor localization system in the university’s library that is based on active RFID technology, working in the 2.4GHz ISM-band and opensource software, namely “openbeacon”. Reaching the main target, which is stabilization of localization results and universal usage in almost every critical constructional area, is achieved by the adaptation of the RFID tag’s firmware and the further development of localization algorithms. Detailed descriptions from the hardware and software side as well as a discussion of the perspective of this technology will be made in this paper. KW - Indoor-Ortung Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-2447 SN - 0949-8214 VL - 17 SP - 67 EP - 71 ER - TY - JOUR A1 - Reinhardt, Heiner A1 - Bogdanow, Boran A1 - Arnold, Roman A1 - Prell, Bastian A1 - Klimant, Philipp A1 - Seifert, Frank A1 - Mahdaviasl, Mahtab A1 - Ihlenfeldt, Steffen T1 - Objective validation for short-term material flow simulation JF - Procedia CIRP N2 - 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. KW - digital twin KW - simulation KW - quality KW - optimization KW - manufacturing system KW - control KW - analysis Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20554 VL - 134 SP - 526 EP - 531 PB - Elsevier ER -