Auflistung nach Schlagwort "Cyber-Physical Systems"
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- KonferenzbeitragEin ABC aktueller Herausforderungen für sichere interaktive Systeme(Mensch und Computer 2018 - Workshopband, 2018) Mentler, TiloDie Potenziale und Grenzen maschineller Lernverfahren (unter dem Schlagwort „Artificial Intelligence“), großer verfügbarer Datenmengen („Big Data“) sowie vernetzter softwaretechnischer und mechanischer Komponenten („Cyber-Physical Systems“) werden derzeit hinsichtlich verschiedener sicherheitskritischer Domänen diskutiert. Unabhängig von konkreten Anwendungen (z.B. Umgang mit Fake News, „smarte“ Energieverteilnetze oder E-Health) gilt es, Herausforderungen für die Gestaltung entsprechender Computersysteme systematisch zu erfassen. Sie müssen dann insbesondere hinsichtlich der Mensch-Maschine-Schnittstelle bewertet werden. In diesem Beitrag wird auf Grundlage der Forschungsarbeiten im Projekt „Artificial Intelligence and the Automated Ordering of Digital Communication“ das zuvor benannte ABC aktueller Herausforderungen für die Gestaltung sicherer interaktiver Systeme diskutiert und Forschungsbedarf im Bereich Mensch-Technik-Interaktion identifiziert.
- ZeitschriftenartikelGeschäftsmodelle im Internet der Dinge(HMD Praxis der Wirtschaftsinformatik: Vol. 51, No. 6, 2014) Fleisch, Elgar; Weinberger, Markus; Wortmann, FelixUnternehmen, die heute primär in nicht-digitalen Branchen agieren, benötigen theoretisch und praktisch fundierte Hilfestellungen bei der Entwicklung und Umsetzung von Geschäftsmodellen im Internet der Dinge (Internet of Things, IoT). Durch unsere Untersuchung der Rolle des Internet in Geschäftsmodellen kommen wir zum Schluss, dass die Bedeutung des Internet in der Geschäftsmodellinnovation seit den 90er Jahren laufend zugenommen hat, dass jede Internet-Welle zu neuen digitalen Geschäftsmodellmustern geführt hat und dass die größten Umbrüche bisher in digitalen Branchen stattgefunden haben. Wir zeigen, dass digitale Geschäftsmodellmuster neu auch in der physischen Industrie relevant werden. Die Trennung von physischen und digitalen Branchen ist damit endgültig vorbei. Der Schlüssel dazu ist das IoT, das physische Produkte und digitale Services zu hybriden Lösungen verschmelzen lässt. Wir leiten eine sehr allgemein gehaltene Geschäftsmodelllogik für das IoT ab und stellen konkrete Bausteine und Muster von Geschäftsmodellen vor. Für die zentralen Herausforderungen bei der Umsetzung solcher hybriden Geschäftsmodelle zeigen wir erste Lösungsansätze auf.
- KonferenzbeitragNutzer- und anwendungsorientierte Konzepte zukünftiger Human-Machine Interfaces für Landmaschinen(Informatik in der Land-, Forst- und Ernährungswirtschaft 2017, 2017) Krzywinski, Jens; Lorenz, Sebastian
- KonferenzbeitragOrthogonal Uncertainty Model: Documenting Uncertainty in the Engineering of Cyber-Physical Systems(Software Engineering 2022, 2022) Bandyszak, Torsten; Daun, Marian; Tenbergen, Bastian; Kuhs, Patrick; Wolf, Stefanie; Weyer, ThorstenIn this talk, we present our contribution ''Orthogonal Uncertainty Modeling in the Engineering of Cyber-Physical Systems'' published in IEEE Transactions on Automation Science and Engineering in July 2020 [Ba20]. We have proposed a modeling language for ''Orthogonal Uncertainty Models'' (OUMs). OUMs constitute a dedicated, central artifact to document, analyze, understand, and discuss potential uncertainties that may occur during operation. Thereby, OUMs support the systematic consideration of potential uncertainties the system might face during operation. OUMs allow documenting various aspects of uncertainty (e.g., cause and effect) in a dedicated artifact. Trace links are used to relate uncertainty to, e.g., system requirements across different model-based artifacts. We have applied OUMs to an industrial case study from the industry automation domain.
- KonferenzbeitragPragmatic Reuse for DSML Development(Modellierung 2024, 2024) Klikovits, Stefan; Buchs, DidierThis is a summary of an article (with the same title) originally published in the International Journal on Software and Systems Modeling (Vol. 20, pages 837–866, (2021)) discussing the lessons learned during the development of a DSL for physical resource flows.
- TextdokumentTeaching Cyber-Physical Systems in Student Project Groups(SEUH 2023, 2023) Schlender, Henning; Stemmer, Ralf; Grüttner, Kim; Ehmen, Günter; Westphal, Bernd; Bruns, FriederikeThe development of Cyber-Physical Systems (CPS) requires software engineering competences in an interdisciplinary context including physics, mechatronics, and electrical engineering. In addition, social skills and teamwork competences are necessary since the current complexity of CPS exceeds the capacity of a single human. The Computer Science faculty at the University of Oldenburg offers project groups (PGs) in the Master’s curriculum to particularly strengthen these competences. To this end, small teams of students work jointly during two semesters on large software or systems engineering problems, which are often inspired by research projects with industrial partners. In this paper we report on a survey that we conducted among alumni of a set of nine PGs that worked on different challenging CPS problems. The main questions were how alumni who already started their professional career assess the learning experience and different aspects of the design of the CPS PGs in hindsight. The responses indicate a good learning success on the main learning objectives of the considered CPS PGs, and a large majority of respondents considers the course to be comparably relevant or very relevant in the overall Master’s curriculum.
- KonferenzbeitragTime-aware Test Execution Scheduling for Cyber-Physical Systems(Software Engineering and Software Management 2019, 2019) Mossige, Morten; Gotlieb, Arnaud; Spieker, Helge; Meling, Hein; Carlsson, MatsThe paper "Time-aware Test Execution Scheduling for Cyber-Physical Systems"first appeared in the application track of the 23rd International Conference on Principles and Practice of Constraint Programming (CP 2017). Testing cyber-physical systems involves the execution of test cases on target-machines equipped with the latest release of a software control system. When testing industrial robots, it is common that the target machines need to share some common resources, e.g., costly hardware devices, and so there is a need to schedule test case execution on the target machines, accounting for these shared resources. With a large number of such tests executed on a regular basis, this scheduling becomes difficult to manage manually. In fact, with manual test execution planning and scheduling, some robots may remain unoccupied for long periods of time and some test cases may not be executed. We introduce TC-Sched, a time-aware method for automated test case execution scheduling. TC-Sched uses Constraint Programming to schedule tests to run on multiple machines constrained by the tests’ access to shared resources, such as measurement or networking devices. We will further discuss challenges and requirements encountered when automating testing for industrial robots.
- TextdokumentTowards a transparency-oriented and integrating Service Registry for the Smart Living Ecosystem(INFORMATIK 2021, 2021) Rebstadt, Jonas; Kortum, Henrik; Hagen, Simon; Thomas, OliverMany domains are increasingly dominated by interdependent services and data exchange between different actors, leading to the emergence of data ecosystems. As a result, service engineers are increasingly tasked with integrating existing service components and data sources into service systems and orchestrating them. In complex areas such as smart living, these tasks are even more difficult by the particular relevance of individual data protection requirements and the low fault tolerance of security-related systems. To address these issues, a central service registry for the domain smart living has been prototypically developed and evaluated, focusing especially on the transparency of data flows and the technical exchangeability of service components. In this way, added value is achieved for data providers and for data users by providing information on the forwarding of their own data as well as on the origin of the data and possible data quality.