@misc{DasChaurasiaMandaletal.2023, author = {Das, Atanu and Chaurasia, Prashtan Kumar and Mandal, Gopi K. and Goecke, Sven-Frithjof and De, Amitava}, title = {Sample calculations to estimate joint distortion based on the published article "Analytical Estimation of Thermomechanical Distortion and Interface Layer Thickness for Gas Metal Arc Lap Joining of Dissimilar Sheets"}, year = {2023}, abstract = {A sample set of calculations is presented in this supplemental document to analytically estimate joint distortion for gas metal arc lap joining of aluminum and steel thin sheets following the published article "Analytical Estimation of Thermomechanical Distortion and Interface Layer Thickness for Gas Metal Arc Lap Joining of Dissimilar Sheets"}, language = {en} } @article{DasChaurasiaMandaletal.2023, author = {Das, Atanu and Chaurasia, Prashtan Kumar and Mandal, Gopi K. and Goecke, Sven-Frithjof and De, Amitava}, title = {Analytical estimation of thermomechanical distortion and interface layer thickness for gas metal arc lap joining of dissimilar sheets}, series = {Welding in the World}, journal = {Welding in the World}, number = {76/2023}, publisher = {Springer Link}, issn = {432288}, doi = {10.1007/s40194-01426-x}, pages = {33 -- 49}, year = {2023}, language = {en} } @article{KuznetsovFroripSuenteretal.2023, author = {Kuznetsov, Arthur and Frorip, Aleksandr and S{\"u}nter, Alar and Kasvand, Nensi and Korsakov, Vadim and Konoplev, Georgii and Stepanova, Oksana and Rusalepp, Linda and Anton, Dea and P{\"u}ssa, T{\~o}nu and Roasto, Mati and Abramova, Liubov and Kozin, Andrey and Toom, Lauri and Hirsch, S{\"o}ren and Mukhin, Nikolay}, title = {Fast Protein and Metabolites (Nucleotides and Nucleosides) Liquid Chromatography Technique and Chemical Sensor for the Assessment of Fish and Meat Freshness}, series = {Chemosensors}, journal = {Chemosensors}, number = {1/2023 / Band 11}, editor = {mdpi,}, publisher = {MDPI}, issn = {2227-9040}, doi = {10.3390/chemosensors11010069}, pages = {69}, year = {2023}, abstract = {Fast protein and metabolite liquid chromatography (FPLMC) was introduced years ago to enable the easy separation of high-molecular compounds such as proteins from small molecules and the identification of the low-molecular substances. In this paper, the method is applied for the rapid evaluation of freshness and monitoring the aging of animal meat and fish. A novel chromatographic sensor was developed with a deep UV LED-based photometric detection unit (255-265 nm), an original flow cuvette and registration scheme; the processing of a chromatogram with the sensor takes approximately 15 min. Strict isochronism between the elution of ATP metabolites, mainly hypoxanthine (Hx) and inosine monophosphate (IMP), and the time of maturation of meat or fish, was discovered. A new freshness index H* = [Hx]/[IMP] was introduced, which is proportional to the instrumental delay time in the FPMLC chromatograms: the H* index < 0.5 indicates the presence of inosine monophosphate (IMP) and the high quality of the meat or fish. Reasonably strong correlations were revealed between data obtained by FPMLC and total volatile basic nitrogen TVB-N (for fish) or volatile fatty acids VFA (for meat) content. Moreover, putative nucleotide salvage and an increase in the concentration of IMP were observed in fish after heat treatment using the FPMLC sensor and NMR technique.}, language = {en} } @unpublished{WendzelCaviglioneMazurczyketal.2023, author = {Wendzel, Steffen and Caviglione, Luca and Mazurczyk, Wojciech and Mileva, Aleksandra and Dittmann, Jana and Kr{\"a}tzer, Christian and Lamsh{\"o}ft, Kevin and Vielhauer, Claus and Hartmann, Laura and Keller, J{\"o}rg and Neubert, Tom and Zillien, Sebastian}, title = {A Generic Taxonomy for Steganography Methods}, doi = {10.36227/techrxiv.20215373.v1}, year = {2023}, abstract = {A unified understanding of terms and their applicability is essential for every scientific discipline: steganography is no exception. Being divided into several domains (for instance, text steganography, digital media steganography, and network steganography), it is crucial to provide a unified terminology as well as a taxonomy that is not limited to some specific applications or areas. A prime attempt towards a unified understanding of terms was conducted in 2015 with the introduction of a pattern-based taxonomy for network steganography. Six years later, in 2021, the first work towards a pattern-based taxonomy for steganography was proposed. However, this initial attempt still faced several shortcomings, e.g., the lack of patterns for several steganography domains (the work mainly focused on network steganography and covert channels), various terminology issues, and the need of providing a tutorial on how the taxonomy can be used during engineering and scientific tasks, including the paper-writing process.
As the consortium who published this initial 2021-study on steganography patterns, in this paper we present the first comprehensive pattern-based taxonomy tailored to fit all known domains of steganography, including smaller and emerging areas, such as filesystem steganography and cyber-physical systems steganography. Besides, to make our contribution more effective and promote the use of the taxonomy to advance research on steganography, we also provide a thorough tutorial on its utilization.
Our pattern collection is available at https://patterns.ztt.hs-worms.de.
}, language = {en} } @incollection{LevinaMattern2023, author = {Levina, Olga and Mattern, Saskia}, title = {Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System}, series = {Recommender Systems: Legal and Ethical Issues}, booktitle = {Recommender Systems: Legal and Ethical Issues}, isbn = {978-3-031-34806-8}, doi = {10.1007/978-3-031-34804-4_9}, pages = {165 -- 185}, year = {2023}, abstract = {Laws are the reflection of the ethical and moral principles of the society. While the use of technology influences users' behavior in a pace that is affected by the technology introduction to the market, legal activities can be driven by the society as the results of such interactions. This scenario analysis- based research focuses on a classic but fictional food recommender system and the ethical issues that might occur from its usage. The recommender system is taken here as an example of machine learning-based systems (MLS) that can often be found in the individual, business and administrative applications. The research compares the existing legal solutions, with the focus on the GDPR legislation, and the discovered ethical issues. The ethical analysis is led along the ALTAI principles suggested by the European Commission, the common good approach as well as the general principles constituted in human rights. While the GDPR-based analysis showed that this data- and privacy-based legislation addressed most of the identified ethical issues, questions related to the common good approach in the context of environment and mobility that arise due to the wide spectrum of the MLS usage require further legal discussion. The application of the two approaches shows that conducting the ethical and legal analysis is beneficial for both the designers of such MLS as well as the legal actors. The findings can enhance the design and functions of a user-facing MLS as well as influence or validate legal activities.}, language = {en} } @inproceedings{Levina2023, author = {Levina, Olga}, title = {Operationalizing Ethics for Information Systems Design - A Tool for Ethical Software}, series = {Konferenz: Twenty-ninth Americas Conference on Information Systems (AMCIS), Panama, 2023}, booktitle = {Konferenz: Twenty-ninth Americas Conference on Information Systems (AMCIS), Panama, 2023}, pages = {4}, year = {2023}, abstract = {Propagation of information technology in the increasingly diverse domains, raises question concerning moral implications. While the number of ethical principles in the IT design is growing, they do not necessarily apply to specific products, which means developers and e.g. purchasing agent need to contextualize them for each specific IT product. This paper describes an actionable artifact that allows assessment of ethical non-functional requirements of an information system through operationalization of ethical values, Ethical Software Assessment Tool (ESAT). It is based on a survey of values that are currently considered in research and practice as well as in legal initiatives in IT context. The ethical approach and principles operationalized in ESAT are presented and discussed.}, language = {en} } @article{NagelSchminderMieke2023, author = {Nagel, Michael and Schminder, Christian and Mieke, Christian}, title = {Sachbezogenes Verhandeln als Methode im Zielbildungsprozess von innovationsorientierten Public Private Partnerships.}, series = {Ideen- und Innovationsmanagement}, journal = {Ideen- und Innovationsmanagement}, number = {2}, editor = {Erich Schmidt Verlag,}, publisher = {Erich Schmidt Verlag GmbH \& Co}, issn = {2198-3151}, doi = {10.37307/j.2198-3151.2022.02.07}, pages = {72 -- 77}, year = {2023}, language = {de} } @misc{WeberSteinPilgermannetal.2023, author = {Weber, Simon and Stein, Stefan and Pilgermann, Michael and Schrader, Thomas}, title = {Attack Detection for Medical Cyber- Physical Systems - The Visualization}, doi = {10.25933/opus4-2914}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-29142}, year = {2023}, abstract = {Attack Detection for Medical Cyber-Physical Systems - The Visualization}, language = {en} } @techreport{MaurerJohannsenPochanke2023, author = {Maurer, Robert and Johannsen, Andreas and Pochanke, Oliver}, title = {Analyse der Trends und Alternativen zur Online-Pr{\"a}senz als Kommunikationskanal von kleinen und mittleren Unternehmen durch den Einsatz von Plattformen}, series = {Schriften des Instituts f{\"u}r Betriebliche Integration und Digitalisierung (IBID)}, volume = {11}, journal = {Schriften des Instituts f{\"u}r Betriebliche Integration und Digitalisierung (IBID)}, publisher = {Technische Hochschule Brandenburg}, address = {Brandenburg an der Havel}, issn = {2198-090X}, doi = {10.25933/opus4-2885}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-28853}, pages = {VI, 25 Seiten}, year = {2023}, abstract = {Die Digitalisierung ist eine der Herausforderungen der heutigen Zeit. Einhergehend mit der Zunahme der Nutzung des Internets in vielen Lebensbereichen steigt auch die Wichtigkeit f{\"u}r Unternehmen, einen repr{\"a}sentativen Auftritt zu etablieren. F{\"u}r kleine und mittlere Unternehmen bedeutet das Betreiben und Pflegen einer Onlinepr{\"a}senz oftmals einen hohen finanziellen und zeitlichen Aufwand. Ziel des vorliegenden Arbeitspapiers ist es, kleinen und mittleren Unternehmen eine Alternative zu herk{\"o}mmlichen Content Management Systemen darzulegen und sie bei der Entscheidungsfindung zu unterst{\"u}tzen. Zur Beantwortung der Forschungsfragen wurde der methodische Ansatz einer Literatur- und Internetrecherche verwendet. Aus der Analyse konnten drei Online Business Plattformen identifiziert, sowie deren Vor- und Nachteile gegen{\"u}ber Content Management Systemen dargestellt werden. Anschließend wurden Kriterien definiert und Empfehlungen dargelegt, welche kleine und mittlere Unternehmen im Entscheidungsprozess unterst{\"u}tzen sollen. Letztlich wurden die Einrichtung sowie die wichtigsten Funktionen einer Plattform dargestellt. Die Ergebnisse zeigen, dass die Nutzung einer Onlineplattform f{\"u}r lokal begrenze Unternehmen mit geringen Anforderungen an die Funktionalit{\"a}t und hoher Kostensensibilit{\"a}t eine sinnvolle Alternative ist. Abschließend wurde anhand des realen Fallbeispiels „Google My Business" (seit 2022: „Google Business Profile") auf die Funktionen sowie Vorteile und M{\"o}glichkeiten einer solchen Plattform eingegangen.}, subject = {Online-Marketing}, language = {de} } @misc{StockhausenJohannsenMaurer2023, author = {Stockhausen, Pablo and Johannsen, Andreas and Maurer, Robert}, title = {Machine-Learning Verfahren f{\"u}r eine nachhaltige Letzte-Meile-Logistik}, year = {2023}, abstract = {Dieser Beitrag entwickelt ein Konzept zur praktischen Umsetzung eines Machine- Learning Verfahrens zum L{\"o}sen von Vehicle Routing Problemen im Kontext einer nachhaltigen "Letzte-Meile"-Logistik, welches durch einen Prototyp umgesetzt und getestet wurde. Der Prototyp basiert auf dem "Reinforcement Learning"-System und verwendet als Algorithmus "REINFORCE mit Baseline". In einer Vergleichsanalyse wurde der Prototyp mit dem bekannten Vertreter Google-OR, anhand von zwei Anwendungsszenarien, verglichen. Der Prototyp {\"u}berzeugt dabei in der Laufzeit und dem Automatismus. Es konnte festgestellt werden, dass eine Verwendung von Lernenden-Systemen f{\"u}r das Vehicle Routing Problem sich bei nur bei einem gr{\"o}ßeren Stoppvolumen und einer erweiterten IT-Infrastruktur empfiehlt.}, language = {de} }