TY - JOUR A1 - Richly, Keven A1 - Brauer, Janos A1 - Schlosser, Rainer T1 - Predicting location probabilities of drivers to improved dispatch decisions of transportation network companies based on trajectory data JF - Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ICORES N2 - The demand for peer-to-peer ridesharing services increased over the last years rapidly. To cost-efficiently dispatch orders and communicate accurate pick-up times is challenging as the current location of each available driver is not exactly known since observed locations can be outdated for several seconds. The developed trajectory visualization tool enables transportation network companies to analyze dispatch processes and determine the causes of unexpected delays. As dispatching algorithms are based on the accuracy of arrival time predictions, we account for factors like noise, sample rate, technical and economic limitations as well as the duration of the entire process as they have an impact on the accuracy of spatio-temporal data. To improve dispatching strategies, we propose a prediction approach that provides a probability distribution for a driver’s future locations based on patterns observed in past trajectories. We demonstrate the capabilities of our prediction results to ( i) avoid critical delays, (ii) to estimate waiting times with higher confidence, and (iii) to enable risk considerations in dispatching strategies. KW - trajectory data KW - location prediction algorithm KW - Peer-to-Peer ridesharing KW - transport network companies KW - risk-aware dispatching Y1 - 2020 PB - Springer CY - Berlin ER - TY - JOUR A1 - Kristine Jonson Carlon, May A1 - Yokoi, Kensuke A1 - Maurice Gayed, John A1 - Suyama, Hiroshi A1 - Cross, Jeffrey ED - Meinel, Christoph ED - Schweiger, Stefanie ED - Staubitz, Thomas ED - Conrad, Robert ED - Alario Hoyos, Carlos ED - Ebner, Martin ED - Sancassani, Susanna ED - Żur, Agnieszka ED - Friedl, Christian ED - Halawa, Sherif ED - Gamage, Dilrukshi ED - Cross, Jeffrey ED - Kristine Jonson Carlon, May ED - Deville, Yves ED - Gaebel, Michael ED - Delgado Kloos, Carlos ED - von Schmieden, Karen T1 - Preparing for Society 5.0 with MOOC Capabilities Extension BT - an industry-academia collaboration on learning analytics dashboard development JF - EMOOCs 2023 : Post-Covid Prospects for Massive Open Online Courses - Boost or Backlash? N2 - Academia-industry collaborations are beneficial when both sides bring strengths to the partnership and the collaboration outcome is of mutual benefit. These types of collaboration projects are seen as a low-risk learning opportunity for both parties. In this paper, government initiatives that can change the business landscape and academia-industry collaborations that can provide upskilling opportunities to fill emerging business needs are discussed. In light of Japan’s push for next-level modernization, a Japanese software company took a positive stance towards building new capabilities outside what it had been offering its customers. Consequently, an academic research group is laying out infrastructure for learning analytics research. An existing learning analytics dashboard was modularized to allow the research group to focus on natural language processing experiments while the software company explores a development framework suitable for data visualization techniques and artificial intelligence development. The results of this endeavor demonstrate that companies working with academia can creatively explore collaborations outside typical university-supported avenues. KW - Digitale Bildung KW - Kursdesign KW - MOOC KW - Micro Degree KW - Online-Lehre KW - Onlinekurs KW - Onlinekurs-Produktion KW - digital education KW - e-learning KW - micro degree KW - micro-credential KW - online course creation KW - online course design KW - online teaching Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-620809 SP - 9 EP - 20 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Thomas, Max A1 - Staubitz, Thomas A1 - Meinel, Christoph ED - Meinel, Christoph ED - Schweiger, Stefanie ED - Staubitz, Thomas ED - Conrad, Robert ED - Alario Hoyos, Carlos ED - Ebner, Martin ED - Sancassani, Susanna ED - Żur, Agnieszka ED - Friedl, Christian ED - Halawa, Sherif ED - Gamage, Dilrukshi ED - Scott, Jeffrey ED - Kristine Jonson Carlon, May ED - Deville, Yves ED - Gaebel, Michael ED - Delgado Kloos, Carlos ED - von Schmieden, Karen T1 - Preparing MOOChub metadata for the future of online learning BT - optimizing for AI recommendation services JF - EMOOCs 2023 : Post-Covid Prospects for Massive Open Online Courses - Boost or Backlash? N2 - With the growing number of online learning resources, it becomes increasingly difficult and overwhelming to keep track of the latest developments and to find orientation in the plethora of offers. AI-driven services to recommend standalone learning resources or even complete learning paths are discussed as a possible solution for this challenge. To function properly, such services require a well-defined set of metadata provided by the learning resource. During the last few years, the so-called MOOChub metadata format has been established as a de-facto standard by a group of MOOC providers in German-speaking countries. This format, which is based on schema.org, already delivers a quite comprehensive set of metadata. So far, this set has been sufficient to list, display, sort, filter, and search for courses on several MOOC and open educational resources (OER) aggregators. AI recommendation services and further automated integration, beyond a plain listing, have special requirements, however. To optimize the format for proper support of such systems, several extensions and modifications have to be applied. We herein report on a set of suggested changes to prepare the format for this task. KW - Digitale Bildung KW - Kursdesign KW - MOOC KW - Micro Degree KW - Online-Lehre KW - Onlinekurs KW - Onlinekurs-Produktion KW - digital education KW - e-learning KW - micro degree KW - micro-credential KW - online course creation KW - online course design KW - online teaching Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-624830 SP - 329 EP - 338 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - BOOK A1 - Schneider, Sven A1 - Maximova, Maria A1 - Giese, Holger T1 - Probabilistic metric temporal graph logic N2 - Cyber-physical systems often encompass complex concurrent behavior with timing constraints and probabilistic failures on demand. The analysis whether such systems with probabilistic timed behavior adhere to a given specification is essential. When the states of the system can be represented by graphs, the rule-based formalism of Probabilistic Timed Graph Transformation Systems (PTGTSs) can be used to suitably capture structure dynamics as well as probabilistic and timed behavior of the system. The model checking support for PTGTSs w.r.t. properties specified using Probabilistic Timed Computation Tree Logic (PTCTL) has been already presented. Moreover, for timed graph-based runtime monitoring, Metric Temporal Graph Logic (MTGL) has been developed for stating metric temporal properties on identified subgraphs and their structural changes over time. In this paper, we (a) extend MTGL to the Probabilistic Metric Temporal Graph Logic (PMTGL) by allowing for the specification of probabilistic properties, (b) adapt our MTGL satisfaction checking approach to PTGTSs, and (c) combine the approaches for PTCTL model checking and MTGL satisfaction checking to obtain a Bounded Model Checking (BMC) approach for PMTGL. In our evaluation, we apply an implementation of our BMC approach in AutoGraph to a running example. N2 - Cyber-physische Systeme umfassen häufig ein komplexes nebenläufiges Verhalten mit Zeitbeschränkungen und probabilistischen Fehlern auf Anforderung. Die Analyse, ob solche Systeme mit probabilistischem gezeitetem Verhalten einer vorgegebenen Spezifikation entsprechen, ist essentiell. Wenn die Zustände des Systems durch Graphen dargestellt werden können, kann der regelbasierte Formalismus von probabilistischen gezeiteten Graphtransformationssystemen (PTGTSs) verwendet werden, um die Strukturdynamik sowie das probabilistische und gezeitete Verhalten des Systems geeignet zu erfassen. Die Modellprüfungsunterstützung für PTGTSs bzgl. Eigenschaften, die unter Verwendung von Probabilistic Timed Computation Tree Logic (PTCTL) spezifiziert wurden, wurde bereits entwickelt. Darüber hinaus wurde das gezeitete graphenbasierte Laufzeitmonitoring mittels metrischer temporaler Graphlogik (MTGL) entwickelt, um metrische temporale Eigenschaften auf identifizierten Untergraphen und ihre strukturellen Änderungen über die Zeit zu erfassen. In diesem Artikel (a) erweitern wir MTGL auf die probabilistische metrische temporale Graphlogik (PMTGL), indem wir die Spezifikation probabilistischer Eigenschaften zulassen, (b) passen unseren MTGL-Prüfungsansatz auf PTGTSs an und (c) kombinieren die Ansätze für PTCTL-Modellprüfung und MTGL-Prüfung, um einen beschränkten Modellprüfungsansatz (BMC-Ansatz) für PMTGL zu erhalten. In unserer Auswertung wenden wir eine Implementierung unseres BMC-Ansatzes in AutoGraph auf ein Beispiel an. T3 - Technische Berichte des Hasso-Plattner-Instituts für Digital Engineering an der Universität Potsdam - 146 KW - cyber-physical systems KW - probabilistic timed systems KW - qualitative analysis KW - quantitative analysis KW - bounded model checking KW - cyber-physische Systeme KW - probabilistische gezeitete Systeme KW - qualitative Analyse KW - quantitative Analyse KW - Bounded Model Checking Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-545867 SN - 978-3-86956-532-3 SN - 1613-5652 SN - 2191-1665 IS - 146 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - BOOK A1 - Schneider, Sven A1 - Maximova, Maria A1 - Giese, Holger T1 - Probabilistic metric temporal graph logic N2 - Cyber-physical systems often encompass complex concurrent behavior with timing constraints and probabilistic failures on demand. The analysis whether such systems with probabilistic timed behavior adhere to a given specification is essential. When the states of the system can be represented by graphs, the rule-based formalism of Probabilistic Timed Graph Transformation Systems (PTGTSs) can be used to suitably capture structure dynamics as well as probabilistic and timed behavior of the system. The model checking support for PTGTSs w.r.t. properties specified using Probabilistic Timed Computation Tree Logic (PTCTL) has been already presented. Moreover, for timed graph-based runtime monitoring, Metric Temporal Graph Logic (MTGL) has been developed for stating metric temporal properties on identified subgraphs and their structural changes over time. In this paper, we (a) extend MTGL to the Probabilistic Metric Temporal Graph Logic (PMTGL) by allowing for the specification of probabilistic properties, (b) adapt our MTGL satisfaction checking approach to PTGTSs, and (c) combine the approaches for PTCTL model checking and MTGL satisfaction checking to obtain a Bounded Model Checking (BMC) approach for PMTGL. In our evaluation, we apply an implementation of our BMC approach in AutoGraph to a running example. N2 - Cyber-physische Systeme umfassen häufig ein komplexes nebenläufiges Verhalten mit Zeitbeschränkungen und probabilistischen Fehlern auf Anforderung. Die Analyse, ob solche Systeme mit probabilistischem gezeitetem Verhalten einer vorgegebenen Spezifikation entsprechen, ist essentiell. Wenn die Zustände des Systems durch Graphen dargestellt werden können, kann der regelbasierte Formalismus von probabilistischen gezeiteten Graphtransformationssystemen (PTGTSs) verwendet werden, um die Strukturdynamik sowie das probabilistische und gezeitete Verhalten des Systems geeignet zu erfassen. Die Modellprüfungsunterstützung für PTGTSs bzgl. Eigenschaften, die unter Verwendung von probabilistischer zeitgesteuerter Berechnungsbaumlogik (PTCTL) spezifiziert wurden, wurde bereits entwickelt. Darüber hinaus wurde das gezeitete graphenbasierte Laufzeitmonitoring mittels metrischer temporaler Graphlogik (MTGL) entwickelt, um metrische temporale Eigenschaften auf identifizierten Untergraphen und ihre strukturellen Änderungen über die Zeit zu erfassen. In diesem Artikel (a) erweitern wir MTGL auf die probabilistische metrische temporale Graphlogik (PMTGL), indem wir die Spezifikation probabilistischer Eigenschaften zulassen, (b) passen unseren MTGL-Prüfungsansatz auf PTGTSs an und (c) kombinieren die Ansätze für PTCTL-Modellprüfung und MTGL-Prüfung, um einen beschränkten Modellprüfungsansatz (BMC-Ansatz) für PMTGL zu erhalten. In unserer Auswertung wenden wir eine Implementierung unseres BMC-Ansatzes in AutoGraph auf ein Beispiel an. T3 - Technische Berichte des Hasso-Plattner-Instituts für Digital Engineering an der Universität Potsdam - 140 KW - cyber-physische Systeme KW - probabilistische gezeitete Systeme KW - qualitative Analyse KW - quantitative Analyse KW - Bounded Model Checking KW - cyber-physical systems KW - probabilistic timed systems KW - qualitative analysis KW - quantitative analysis KW - bounded model checking Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-515066 SN - 978-3-86956-517-0 SN - 1613-5652 SN - 2191-1665 IS - 140 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Christopher Ashwood, Wout Bittremieux A1 - Bittremieux, Wout A1 - Deutsch, Eric W. A1 - Doncheva, Nadezhda T. A1 - Dorfer, Viktoria A1 - Gabriels, Ralf A1 - Gorshkov, Vladimir A1 - Gupta, Surya A1 - Jones, Andrew R. A1 - Käll, Lukas A1 - Kopczynski, Dominik A1 - Lane, Lydie A1 - Lautenbacher, Ludwig A1 - Legeay, Marc A1 - Locard-Paulet, Marie A1 - Mesuere, Bart A1 - Sachsenberg, Timo A1 - Salz, Renee A1 - Samaras, Patroklos A1 - Schiebenhoefer, Henning A1 - Schmidt, Tobias A1 - Schwämmle, Veit A1 - Soggiu, Alessio A1 - Uszkoreit, Julian A1 - Van Den Bossche, Tim A1 - Van Puyvelde, Bart A1 - Van Strien, Joeri A1 - Verschaffelt, Pieter A1 - Webel, Henry A1 - Willems, Sander A1 - Perez-Riverolab, Yasset A1 - Netz, Eugen A1 - Pfeuffer, Julianus T1 - Proceedings of the EuBIC-MS 2020 Developers’ Meeting JF - EuPA Open Proteomics N2 - The 2020 European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) Developers’ meeting was held from January 13th to January 17th 2020 in Nyborg, Denmark. Among the participants were scientists as well as developers working in the field of computational mass spectrometry (MS) and proteomics. The 4-day program was split between introductory keynote lectures and parallel hackathon sessions. During the latter, the participants developed bioinformatics tools and resources addressing outstanding needs in the community. The hackathons allowed less experienced participants to learn from more advanced computational MS experts, and to actively contribute to highly relevant research projects. We successfully produced several new tools that will be useful to the proteomics community by improving data analysis as well as facilitating future research. All keynote recordings are available on https://doi.org/10.5281/zenodo.3890181. KW - computational mass spectrometry KW - proteomics KW - bioinformatics KW - spectrum clustering KW - phosphoproteomics KW - XIC extraction KW - proteomics graph networks KW - predicted spectra Y1 - 2020 U6 - https://doi.org/10.1016/j.euprot.2020.11.001 SN - 2212-9685 VL - 24 SP - 1 EP - 6 PB - Elsevier CY - Amsterdam ER - TY - BOOK A1 - Meinel, Christoph A1 - Döllner, Jürgen Roland Friedrich A1 - Weske, Mathias A1 - Polze, Andreas A1 - Hirschfeld, Robert A1 - Naumann, Felix A1 - Giese, Holger A1 - Baudisch, Patrick A1 - Friedrich, Tobias A1 - Böttinger, Erwin A1 - Lippert, Christoph A1 - Dörr, Christian A1 - Lehmann, Anja A1 - Renard, Bernhard A1 - Rabl, Tilmann A1 - Uebernickel, Falk A1 - Arnrich, Bert A1 - Hölzle, Katharina T1 - Proceedings of the HPI Research School on Service-oriented Systems Engineering 2020 Fall Retreat N2 - Design and Implementation of service-oriented architectures imposes a huge number of research questions from the fields of software engineering, system analysis and modeling, adaptability, and application integration. Component orientation and web services are two approaches for design and realization of complex web-based system. Both approaches allow for dynamic application adaptation as well as integration of enterprise application. Service-Oriented Systems Engineering represents a symbiosis of best practices in object-orientation, component-based development, distributed computing, and business process management. It provides integration of business and IT concerns. The annual Ph.D. Retreat of the Research School provides each member the opportunity to present his/her current state of their research and to give an outline of a prospective Ph.D. thesis. Due to the interdisciplinary structure of the research school, this technical report covers a wide range of topics. These include but are not limited to: Human Computer Interaction and Computer Vision as Service; Service-oriented Geovisualization Systems; Algorithm Engineering for Service-oriented Systems; Modeling and Verification of Self-adaptive Service-oriented Systems; Tools and Methods for Software Engineering in Service-oriented Systems; Security Engineering of Service-based IT Systems; Service-oriented Information Systems; Evolutionary Transition of Enterprise Applications to Service Orientation; Operating System Abstractions for Service-oriented Computing; and Services Specification, Composition, and Enactment. N2 - Der Entwurf und die Realisierung dienstbasierender Architekturen wirft eine Vielzahl von Forschungsfragestellungen aus den Gebieten der Softwaretechnik, der Systemmodellierung und -analyse, sowie der Adaptierbarkeit und Integration von Applikationen auf. Komponentenorientierung und WebServices sind zwei Ansätze für den effizienten Entwurf und die Realisierung komplexer Web-basierender Systeme. Sie ermöglichen die Reaktion auf wechselnde Anforderungen ebenso, wie die Integration großer komplexer Softwaresysteme. "Service-Oriented Systems Engineering" repräsentiert die Symbiose bewährter Praktiken aus den Gebieten der Objektorientierung, der Komponentenprogrammierung, des verteilten Rechnen sowie der Geschäftsprozesse und berücksichtigt auch die Integration von Geschäftsanliegen und Informationstechnologien. Die Klausurtagung des Forschungskollegs "Service-oriented Systems Engineering" findet einmal jährlich statt und bietet allen Kollegiaten die Möglichkeit den Stand ihrer aktuellen Forschung darzulegen. Bedingt durch die Querschnittstruktur des Kollegs deckt dieser Bericht ein weites Spektrum aktueller Forschungsthemen ab. Dazu zählen unter anderem Human Computer Interaction and Computer Vision as Service; Service-oriented Geovisualization Systems; Algorithm Engineering for Service-oriented Systems; Modeling and Verification of Self-adaptive Service-oriented Systems; Tools and Methods for Software Engineering in Service-oriented Systems; Security Engineering of Service-based IT Systems; Service-oriented Information Systems; Evolutionary Transition of Enterprise Applications to Service Orientation; Operating System Abstractions for Service-oriented Computing; sowie Services Specification, Composition, and Enactment. T3 - Technische Berichte des Hasso-Plattner-Instituts für Digital Engineering an der Universität Potsdam - 138 KW - Hasso Plattner Institute KW - research school KW - Ph.D. retreat KW - service-oriented systems engineering KW - Hasso-Plattner-Institut KW - Forschungskolleg KW - Klausurtagung KW - Service-oriented Systems Engineering Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-504132 SN - 978-3-86956-513-2 SN - 1613-5652 SN - 2191-1665 IS - 138 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Xiaoxiao, Wang A1 - Shuangshuang, Guo ED - Meinel, Christoph ED - Schweiger, Stefanie ED - Staubitz, Thomas ED - Conrad, Robert ED - Alario Hoyos, Carlos ED - Ebner, Martin ED - Sancassani, Susanna ED - Żur, Agnieszka ED - Friedl, Christian ED - Halawa, Sherif ED - Gamage, Dilrukshi ED - Scott, Jeffrey ED - Kristine Jonson Carlon, May ED - Deville, Yves ED - Gaebel, Michael ED - Delgado Kloos, Carlos ED - von Schmieden, Karen T1 - Promoting global higher education cooperation BT - taking global MOOC and online education alliance as an example JF - EMOOCs 2023 : Post-Covid Prospects for Massive Open Online Courses - Boost or Backlash? N2 - The massive growth of MOOCs in 2011 laid the groundwork for the achievement of SDG 4. With the various benefits of MOOCs, there is also anticipation that online education should focus on more interactivity and global collaboration. In this context, the Global MOOC and Online Education Alliance (GMA) established a diverse group of 17 world-leading universities and three online education platforms from across 14 countries on all six continents in 2020. Through nearly three years of exploration, GMA has gained experience and achieved progress in fostering global cooperation in higher education. First, in joint teaching, GMA has promoted in-depth cooperation between members inside and outside the alliance. Examples include promoting the exchange of high-quality MOOCs, encouraging the creation of Global Hybrid Classroom, and launching Global Hybrid Classroom Certificate Programs. Second, in capacity building and knowledge sharing, GMA has launched Online Education Dialogues and the Global MOOC and Online Education Conference, inviting global experts to share best practices and attracting more than 10 million viewers around the world. Moreover, GMA is collaborating with international organizations to support teachers’ professional growth, create an online learning community, and serve as a resource for further development. Third, in public advocacy, GMA has launched the SDG Hackathon and Global Massive Open Online Challenge (GMOOC) and attracted global learners to acquire knowledge and incubate their innovative ideas within a cross-cultural community to solve real-world problems that all humans face and jointly create a better future. Based on past experiences and challenges, GMA will explore more diverse cooperation models with more partners utilizing advanced technology, provide more support for digital transformation in higher education, and further promote global cooperation towards building a human community with a shared future. KW - Digitale Bildung KW - Kursdesign KW - MOOC KW - Micro Degree KW - Online-Lehre KW - Onlinekurs KW - Onlinekurs-Produktion KW - digital education KW - e-learning KW - micro degree KW - micro-credential KW - online course creation KW - online course design KW - online teaching Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-623865 SP - 85 EP - 93 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - BOOK A1 - Schwarzer, Ingo A1 - Weiß-Saoumi, Said A1 - Kittel, Roland A1 - Friedrich, Tobias A1 - Kaynak, Koraltan A1 - Durak, Cemil A1 - Isbarn, Andreas A1 - Diestel, Jörg A1 - Knittel, Jens A1 - Franz, Marquart A1 - Morra, Carlos A1 - Stahnke, Susanne A1 - Braband, Jens A1 - Dittmann, Johannes A1 - Griebel, Stephan A1 - Krampf, Andreas A1 - Link, Martin A1 - Müller, Matthias A1 - Radestock, Jens A1 - Strub, Leo A1 - Bleeke, Kai A1 - Jehl, Leander A1 - Kapitza, Rüdiger A1 - Messadi, Ines A1 - Schmidt, Stefan A1 - Schwarz-Rüsch, Signe A1 - Pirl, Lukas A1 - Schmid, Robert A1 - Friedenberger, Dirk A1 - Beilharz, Jossekin Jakob A1 - Boockmeyer, Arne A1 - Polze, Andreas A1 - Röhrig, Ralf A1 - Schäbe, Hendrik A1 - Thiermann, Ricky T1 - RailChain BT - Abschlussbericht N2 - The RailChain project designed, implemented, and experimentally evaluated a juridical recorder that is based on a distributed consensus protocol. That juridical blockchain recorder has been realized as distributed ledger on board the advanced TrainLab (ICE-TD 605 017) of Deutsche Bahn. For the project, a consortium consisting of DB Systel, Siemens, Siemens Mobility, the Hasso Plattner Institute for Digital Engineering, Technische Universität Braunschweig, TÜV Rheinland InterTraffic, and Spherity has been formed. These partners not only concentrated competencies in railway operation, computer science, regulation, and approval, but also combined experiences from industry, research from academia, and enthusiasm from startups. Distributed ledger technologies (DLTs) define distributed databases and express a digital protocol for transactions between business partners without the need for a trusted intermediary. The implementation of a blockchain with real-time requirements for the local network of a railway system (e.g., interlocking or train) allows to log data in the distributed system verifiably in real-time. For this, railway-specific assumptions can be leveraged to make modifications to standard blockchains protocols. EULYNX and OCORA (Open CCS On-board Reference Architecture) are parts of a future European reference architecture for control command and signalling (CCS, Reference CCS Architecture – RCA). Both architectural concepts outline heterogeneous IT systems with components from multiple manufacturers. Such systems introduce novel challenges for the approved and safety-relevant CCS of railways which were considered neither for road-side nor for on-board systems so far. Logging implementations, such as the common juridical recorder on vehicles, can no longer be realized as a central component of a single manufacturer. All centralized approaches are in question. The research project RailChain is funded by the mFUND program and gives practical evidence that distributed consensus protocols are a proper means to immutably (for legal purposes) store state information of many system components from multiple manufacturers. The results of RailChain have been published, prototypically implemented, and experimentally evaluated in large-scale field tests on the advanced TrainLab. At the same time, the project showed how RailChain can be integrated into the road-side and on-board architecture given by OCORA and EULYNX. Logged data can now be analysed sooner and also their trustworthiness is being increased. This enables, e.g., auditable predictive maintenance, because it is ensured that data is authentic and unmodified at any point in time. N2 - Das Projekt RailChain hat einen verteilten Juridical Recorder entworfen, implementiert und experimentell evaluiert, der auf einem echtzeitfähigen verteilten Konsensprotokoll basiert. Dieser Juridical Blockchain Recorder wurde als distributed ledger an Bord des advanced TrainLabs der Deutschen Bahn (ICE-TD 605 017) umgesetzt. Für das Projekt hat sich ein Konsortium aus DB Systel, Siemens, Siemens Mobility, dem Hasso-Plattner-Institut für Digital Engineering, der Technischen Universität Braunschweig, sowie TÜV Rheinland InterTraffic und Spherity formiert und dabei Kompetenzen aus den Bereichen Bahnbetrieb, Informatik und Zulassungswesen gebündelt. Die Partner kombinieren Erfahrungen aus der Industrie und die akademische Forschung mit der Aufbruchstimmung aus dem Start-Up-Umfeld. Distributed-Ledger-Technologien (DLTs) definieren verteilte Datenbanken und stellen ein digitales Protokoll für Transaktionen zwischen Geschäftspartnern dar, ohne dass ein Mittelsmann beteiligt sein müsste. Die Implementierung einer Blockchain mit Echtzeitanforderungen für das lokale Netzwerk einer Eisenbahnanlage (z. B. Stellwerk oder Zug) erlaubt es, die im verteilten System entstehenden Daten nachweislich in Echtzeit zu protokollieren. Dabei können eisenbahnspezifische Randbedingungen ausgenutzt werden, um Standard-Blockchain-Protokolle anzupassen. EULYNX und OCORA (Open CCS On-board Reference Architecture) sind Bestandteile einer zukünftigen europäischen Referenzarchitektur für das Leit- und Sicherungssystem (Reference CCS Architecture – RCA, Control Command and Signalling – CCS). Beide Architekturkonzepte skizzieren herstellerübergreifende, komponentenbasierende heterogene IT-Systeme. Solche Systeme bergen neue Herausforderungen, die bislang im Kontext der zugelassenen, sicherheitsrelevanten Leit- und Sicherungstechnik der Bahn weder strecken- noch fahrzeugseitig adressiert werden mussten. Logbuch-Implementierungen, wie der gängige Juridical Recorder auf Fahrzeugen, können nun nicht mehr als zentrale Systemkomponente eines einzelnen Herstellers umgesetzt werden. Alle zentralisierten Lösungsansätze sind in Frage gestellt. Das mFUND-geförderte Forschungsprojekt erbringt den praktischen Nachweis, dass Zustandsinformationen über eine Vielzahl von Systemkomponenten herstellerübergreifend und gerichtsfest mittels verteilten Konsensprotokollen gespeichert werden können. Ergebnisse von RailChain wurden publiziert, prototypisch implementiert und in großen Feldtests auf dem advanced TrainLab experimentell evaluiert. Gleichzeitig wurde aufgezeigt, wie sich RailChain in den mit OCORA und EULYNX vorgegebenen fahrzeug- und streckenseitigen Architekturentwurf integrieren lässt. Daten können dadurch zeitnaher ausgewertet werden und gleichzeitig wird ihre Vertrauenswürdigkeit erhöht. Dies ermöglicht u. a. nachvollziehbare zustandsorientierte Wartung, denn es kann jederzeit sichergestellt werden, dass die Daten authentisch sind und auch nicht verändert wurden. T3 - Technische Berichte des Hasso-Plattner-Instituts für Digital Engineering an der Universität Potsdam - 152 KW - Distributed-Ledger-Technologie (DLT) KW - juridical recording KW - Konsensprotokolle KW - consensus protocols KW - Digitalisierung KW - digitalization KW - Bahnwesen KW - railways KW - Blockchain KW - asset management KW - selbstbestimmte Identitäten KW - self-sovereign identity KW - dezentrale Identitäten KW - decentral identities KW - überprüfbare Nachweise KW - verifiable credentials KW - Echtzeit KW - real-time KW - Standardisierung KW - standardization KW - Verlässlichkeit KW - dependability KW - Fehlertoleranz KW - fault tolerance Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-577409 SN - 978-3-86956-550-7 SN - 1613-5652 SN - 2191-1665 IS - 152 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Ebner, Martin A1 - Edelsbrunner, Sarah A1 - Hohla-Sejkora, Katharina A1 - Lipp, Silvia A1 - Schön, Sandra ED - Meinel, Christoph ED - Schweiger, Stefanie ED - Staubitz, Thomas ED - Conrad, Robert ED - Alario Hoyos, Carlos ED - Ebner, Martin ED - Sancassani, Susanna ED - Żur, Agnieszka ED - Friedl, Christian ED - Halawa, Sherif ED - Gamage, Dilrukshi ED - Scott, Jeffrey ED - Kristine Jonson Carlon, May ED - Deville, Yves ED - Gaebel, Michael ED - Delgado Kloos, Carlos ED - von Schmieden, Karen T1 - Role of MOOCs and Imoox for Austrian Universities BT - analysis of performance agreements and activities at imoox JF - EMOOCs 2023 : Post-Covid Prospects for Massive Open Online Courses - Boost or Backlash? N2 - This research paper provides an overview of the current state of MOOCs (massive open online courses) and universities in Austria, focusing on the national MOOC platform iMooX.at. The study begins by presenting the results of an analysis of the performance agreements of 22 Austrian public universities for the period 2022–2024, with a specific focus on the mention of MOOC activities and iMooX. The authors find that 12 of 22 (55 %) Austrian public universities use at least one of these terms, indicating a growing interest in MOOCs and online learning. Additionally, the authors analyze internal documentation data to share insights into how many universities in Austria have produced and/or used a MOOC on the iMooX platform since its launch in 2014. These findings provide a valuable measure of the current usage and monitoring of MOOCs and iMooX among Austrian higher education institutions. Overall, this research contributes to a better understanding of the current state of MOOCs and their integration within Austrian higher education. KW - Digitale Bildung KW - Kursdesign KW - MOOC KW - Micro Degree KW - Online-Lehre KW - Onlinekurs KW - Onlinekurs-Produktion KW - digital education KW - e-learning KW - micro degree KW - micro-credential KW - online course creation KW - online course design KW - online teaching Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-622134 SP - 77 EP - 84 PB - Universitätsverlag Potsdam CY - Potsdam ER -