TY - GEN A1 - Koch, Christian A1 - Riehle, Dirk T1 - Schema Inference with Explainable AI for Data Engineering in Government Institutions BT - Systematic Review Protocol - Second Version N2 - Data engineering is an integral part of the data science process. It comprises tasks such as data ingestion, data transformation, and data quality assurance. In order to fulfill these tasks, schema inference is an important capability. Its goal is to detect the structure of a dataset and to derive metadata on hierarchies, data types, etc. Artificial intelligence (AI) has the potential to automate schema inference and thus increase the efficiency of the data science process. However, as government institutions are subject to special regulations, explainability of AI models can be a mandatory requirement. Goal of this research protocol is to plan a systematic review of literature on schema inference with explainable AI (XAI) for data engineering in government institutions. This second version includes adjustments resulting from the first iteration of the review. KW - Explainable Artificial Intelligence KW - Data Engineering KW - Data Science KW - Explainable Artificial Intelligence KW - Government KW - Schema Inference Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:92-opus4-15059 SP - 2 EP - 6 ER - TY - CHAP A1 - Wägemann, Tobias A1 - Werner, Albert T1 - Generating Multi-objective Programs from Variant-rich EAST-ADL Product Line Architectures T2 - INFORMATIK 2015 N2 - The design of robust architectures for software-intensive systems in the automotive domain is a complex task and a considerable engineering challenge. Even conventional systems are usually subject to a multitude of conflicting design goals, such as unit cost and weight minimization, dependability augmentation and timing control. One feasible approach to resolve these conflicting levers on a system's architecture is to perform an optimization analysis on a concretely defined design space, which in general is vast. For the purpose of the approach presented here, this design space is represented by an automated identification of variation points relevant for design space exploration. The identified variability information is then transformed into a convenient mathematical representation for product-line-aware architecture optimization. KW - Model-based Analysis KW - Multi-objective Programming KW - Architecture Optimization KW - Pareto Optimality KW - Product Line Engineering Y1 - 2015 SN - 978-3-88579-640-4 SN - 1617-5468 SP - 1673 EP - 1685 PB - Gesellschaft für Informatik e.V.. CY - Bonn ER - TY - CHAP A1 - Zoppelt, Markus A1 - Tavakoli Kolagari, Ramin T1 - What Today's Serious Cyber Attacks on Cars Tell Us BT - Consequences for Automotive Security and Dependability T2 - Model-Based Safety and Assessment : 6th International Symposium, IMBSA 2019, Thessaloniki, Greece, October 16–18, 2019, Proceedings N2 - Highly connected with the environment via various interfaces, cars have been the focus of malicious cyber attacks for years. These attacks are becoming an increasing burden for a society with growing vehicle autonomization: they are the sword of Damocles of future mobility. Therefore, research is particularly active in the area of vehicle IT security, and in part also in the area of dependability, in order to develop effective countermeasures and to maintain a minimum of one step ahead of hackers. This paper examines the known state-of-the-art security and dependability measures based on a detailed and systematic analysis of published cyber attacks on automotive software systems. The sobering result of the analysis of the cyber attacks with the model-based technique SAM (Security Abstraction Model) and a categorization of the examined attacks in relation to the known security and dependability measures is that most countermeasures against cyber attacks are hardly effective. They either are not applicable to the underlying problem or take effect too late; the intruder has already gained access to a substantial part of the vehicle when the countermeasures apply. The paper is thus contributing to an understanding of the gaps that exist today in the area of vehicle security and dependability and concludes concrete research challenges. KW - Automotive Security KW - Automotive System Architecture KW - Dependability KW - Model-Driven Engineering Methodologies Y1 - 2019 SN - 978-3-030-32872-6 U6 - https://doi.org/10.1007/978-3-030-32872-6_18 SP - 219 EP - 285 PB - Springer CY - Cham ER - TY - GEN A1 - Warren, John T1 - Energiemanagement und Energietechnik BT - regenerative Versorgungsanalyse ; Studienarbeit Smart Energy N2 - Diese Studienarbeit untersucht den Stromverbrauch auf regionaler Ebene in Deutschland und vergleicht drei verschiedene Systemdesigns für erneuerbare Energien. Die Systeme basieren auf dem Einsatz von geotechnischen, chemischen und Batteriespeicher-technologien. Es werden reale Wetter- und Lastdaten für einen Zeitraum von drei Jahren vom 01.09.2020 bis zum 31.08.2023 verwendet. KW - Versorgungsanalyse KW - Speicher KW - Langzeitspeicherung KW - Dunkelflaute KW - erneuerbare Energie Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:92-opus4-14881 SP - 1 EP - 45 CY - Nürnberg ER - TY - JOUR A1 - Seiß, Volker A1 - Helbig, Uta A1 - Lösel, Ralf A1 - Eichelbaum, Maik T1 - Investigating and correlating photoelectrochemical, photocatalytic, and antimicrobial properties of TiO2 nanolayers JF - Scientific Reports N2 - Semiconducting transition metal oxides such as TiO 2 are promising photo(electro)catalysts for solar water splitting and photoreduction of CO 2 as well as for antibacterial, self-, water and air-cleaning coatings and admixtures in paints, building materials, on window glass or medical devices. In photoelectrocatalytic applications TiO 2 is usually used as photoanode only catalyzing the oxidation reaction. In coatings and admixtures TiO 2 works as heterogeneous catalyst and has to catalyze a complete redox cycle. While photoelectrochemical charge transport parameters are usually quite well accessible by electrochemical measurements, the quantitative description of photocatalytic properties is more challenging. Here, we present a systematic structural, photoelectrocatalytic, photocatalytic and antimicrobial study to understand if and how photoelectrochemical parameters can be used to predict the photocatalytic activity of TiO 2. For this purpose TiO 2 thin films on flourine-doped tin oxide substrates were prepared and annealed at temperatures between 200 and 600 ◦C. The film morphologies and thicknesses were studied by GIXRD, FESEM, and EDX. Photoelectrochemical properties were measured by linear sweep voltammetry, photoelectrochemical impedance spectroscopy, chopped light chronoamperometry, and intensity modulated photocurrent/photovoltage spectroscopy. For comparison, photocatalytic rate constants were determined by methylene blue degradation and Escherichea coli inactivation and correlated with the deducedphotoelectrocatalytic parameters. We found that the respective photoactivities of amorphous and crystalline TiO 2 nanolayers can be best correlated, if the extracted photoelectrochemical parameters such as charge transfer and recombination rates, charge transfer efficiencies and resistances are measured close to the open circuit potential (OCP). Hence, the interfacial charge transport parameters at the OCP can be indeed used as descriptors for predicting and understanding the photocatalytic activity of TiO 2 coatings. KW - Multidisciplinary Y1 - 2021 U6 - https://doi.org/10.1038/s41598-021-01165-x SN - 2045-2322 VL - 11 SP - 1 EP - 16 PB - Springer Science and Business Media LLC ER - TY - CHAP A1 - Bergler, Matthias A1 - Tavakoli Kolagari, Ramin T1 - Automotive Software Security Engineering based on the ISO 21434 T2 - ACM Computing Surveys N2 - The increasing use of software and connectivity in modern vehicles has made cybersecurity an important issue in the automotive industry. ISO 21434 is a standard for automotive cybersecurity engineering that provides guidelines for the development and validation of secure automotive systems. For effective implementation and practical use of ISO 21434, it must be incorporated into existing automotive industry development workflows. In this paper, we investigate the practical applicability of ISO 21434 in the context of the Security Abstraction Model (SAM), a security modeling approach for the domain-specific modeling language EAST-ADL, and provide insights into the benefits and consequences of this approach. In doing so, we describe the methodological opportunities of integrating ISO 21434 into SAM on the one hand and present a case study illustrating the application of this integrated approach in the development of a secure automotive system on the other hand. Our results suggest that the integration of ISO 21434 into SAM better supports automotive system security in the early development phases and makes it transparent to a wide range of stakeholders. At the same time, it becomes clear that a representation of the interrelationships in the form of a metamodel, in contrast to ISO 21434 in which these are only described textually, significantly improves conceptual understanding and ultimately enables pragmatic usability in industrial development. KW - automotive KW - software engineering KW - cybersecurity Y1 - 2023 SN - 979-8-4007-0805-3 U6 - https://doi.org/10.1145/3631991.3631994 SP - 17 EP - 26 PB - Association for Computing Machinery (ACM) CY - Tokyo, Japan ER - TY - JOUR A1 - Kögel, Michael A1 - Carstensen, Dirk T1 - Using structure from motion for analyzing change detection and flood events in the context of flood preparedness: a case study for the Laufer Muehle area at the Aisch river in Germany for conducting near real-time analyses JF - Applied Geomatics N2 - Recent flood events (FE) in Germany have shown that the extent and impact of extreme flood events cannot be estimated solely based on numerical models. For analyzing the development of such an event and to develop and implement safety measures more efficiently, additional data must be collected during the event. Within the scope of this research, the possibilities of near real-time recording using an unmanned aerial vehicle (UAV) and data processing with the Structure from Motion (SfM) method were tested in a case study. Different recording parameter combinations were tested in the Laufer Muehle area on the Aisch river in Germany. The focus of the investigations was the identification of a parameter combination that allows a short recording interval for aerial imagery. Based on these findings, the identification of changes in the study area by comparing multitemporal photography (flood prevention), as well as the recording of flooded areas during a FE should be possible. The accuracy analysis of the different parameter combinations between two point clouds as well as the process of change detection was done by a Multiscale Model to Model Cloud Comparison (M3C2) and including ground control points. As a result, a parameter combination was identified which led to the desired results in the study area. The processes were transformed into fully automated and scripted workflows. The results serve as a basis for establishing a workflow for near real-time analyses in future studies. Y1 - 2024 U6 - https://doi.org/10.1007/s12518-024-00561-y SN - 1866-9298 PB - Springer Science and Business Media LLC ER - TY - JOUR A1 - Eitel, Dominik A1 - Graml, Johanna A1 - Hoppe, Julia A1 - Kaliwoda, Melanie A1 - Hornfeck, Markus A1 - Helbig, Uta T1 - Synthesis and Structure of Carbon-doped TiO2 by Carbothermal Treatment JF - Nano Select N2 - Carbon modified titanium dioxide (TiO2) is a promising candidate for catalytic applications or fuel cells, where the modified oxide could replace currently used catalyst support materials. Carbothermally treated TiO2 was successfully prepared by annealing under acetylene/nitrogen gas flow in a rotary tube furnace. The carbon content in the TiO2 samples ranged from 5 to 14.5 wt.-% as determined by thermogravimetric measurements. The powders showed suppression of the phase transition from anatase to rutile up to a treatment temperature of 825°C. Above 600°C rutile is the thermodynamically stable phase, therefore the suppression must be attributed to either carbon in the lattice or the reducing atmosphere in the furnace. Raman spectra revealed the characteristic G and D bands, indicating the formation of carbonaceous species in the samples. In addition, a shift of the anatase Eg(1) band was observed indicating a lattice disorder pointing toward carbon incorporation into the lattice. Diffuse reflectance spectra show sub band gap absorption together with a shift of the absorption edge. Depending on the extraction method of band gaps from spectra, the band gap values show a decrease or increase with increasing carbon content. Details of the evaluation and interpretation of the spectra are discussed. KW - Nanotechnologie KW - Brennstoffzelle Y1 - 2023 U6 - https://doi.org/10.1002/nano.202300022 SN - 2688-4011 VL - 4 IS - 7 SP - 454 EP - 461 PB - Wiley ER - TY - JOUR A1 - Burghardt, Jennifer A1 - Lehmann, Robert T1 - Onlineberatung im Handlungsfeld der Sozialen Arbeit JF - ZFSH, SGB : Zeitschrift für die sozialrechtliche Praxis KW - Soziale Arbeit KW - Onlineberatung KW - Sozialarbeit KW - computerunterstützte Kommunikation Y1 - 2022 SN - 1434-5668 VL - 61 IS - 1 SP - 8 EP - 13 PB - Luchterhand CY - Köln ER - TY - CHAP A1 - Lehmann, Robert A1 - Stieler, Mara T1 - Chancen und Risiken KI gestützter Evaluationsmethoden textbasierter Kommunikation T2 - Suchttherapie: Sonderheft N2 - Die Ergebnisse zeigen, dass die verschiedenen Methoden aus dem Feld der künstlichen Intelligenz geeignet sind, textbasierte Kommunikation zu analysieren und damit Erkenntnisse für die Evaluation bereitzustellen. Angesichts der riesigen Menge an bestehenden und zukünftigen textbasierten Beratungsinhalten können so die unterschiedlichsten Fragestellungen bearbeitet werden. Da die Datenbasis jedoch immer hochsensible personenbezogene Daten enthält, müssen die entsprechenden Risiken mit einer verantwortungsvollen Umsetzung des Datenschutzes minimiert werden. KW - Sozialarbeit KW - Künstliche Intelligenz Y1 - 2022 U6 - https://doi.org/10.1055/s-0042-1756095 SN - 1439-989X VL - (23) 2022 IS - S 01 PB - Georg Thieme Verlag ER -