TY - CHAP A1 - Schürmann, Volker A1 - Buda, Aurel A1 - Jonker, Stefan A1 - Palmhof, Norman A1 - Wollert, Jörg F. T1 - Wireless in future automotive applications T2 - Mobile and wireless communications network layer and circuit level design / ed. by Salma Ait Fares ... Y1 - 2010 SN - 978-953-307-042-1 SP - 71 EP - 92 PB - Intech CY - London ER - TY - CHAP A1 - Wollert, Jörg F. T1 - The performance of UWB-communication in an industrial environment T2 - IEEE 1st International Symposium on Wireless Systems : (IDAACS-SWS) : Offenburg, 20-21 Sept. 2012 Y1 - 2012 SN - 978-1-4673-4678-8 U6 - https://doi.org/10.1109/IDAACS-SWS.2012.6377639 SP - 85 EP - 90 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Ulmer, Jessica A1 - Braun, Sebastian A1 - Cheng, Chi-Tsun A1 - Dowey, Steve A1 - Wollert, Jörg F. T1 - Usage of digital twins for gamification applications in manufacturing T2 - Procedia CIRP Leading manufacturing systems transformation – Proceedings of the 55th CIRP Conference on Manufacturing Systems 2022 N2 - Gamification applications are on the rise in the manufacturing sector to customize working scenarios, offer user-specific feedback, and provide personalized learning offerings. Commonly, different sensors are integrated into work environments to track workers’ actions. Game elements are selected according to the work task and users’ preferences. However, implementing gamified workplaces remains challenging as different data sources must be established, evaluated, and connected. Developers often require information from several areas of the companies to offer meaningful gamification strategies for their employees. Moreover, work environments and the associated support systems are usually not flexible enough to adapt to personal needs. Digital twins are one primary possibility to create a uniform data approach that can provide semantic information to gamification applications. Frequently, several digital twins have to interact with each other to provide information about the workplace, the manufacturing process, and the knowledge of the employees. This research aims to create an overview of existing digital twin approaches for digital support systems and presents a concept to use digital twins for gamified support and training systems. The concept is based upon the Reference Architecture Industry 4.0 (RAMI 4.0) and includes information about the whole life cycle of the assets. It is applied to an existing gamified training system and evaluated in the Industry 4.0 model factory by an example of a handle mounting. KW - Gamification KW - Digital Twin KW - Support System Y1 - 2022 U6 - https://doi.org/10.1016/j.procir.2022.05.044 SN - 2212-8271 N1 - 55th CIRP Conference on Manufacturing Systems, Jun 29, 2022 - Jul 01, 2022, Lugano, Switzerland VL - 107 SP - 675 EP - 680 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Ulmer, Jessica A1 - Mostafa, Youssef A1 - Wollert, Jörg F. T1 - Digital Twin Academy: From Zero to Hero through individual learning experiences T2 - Tagungsband AALE 2022: Wissenstransfer im Spannungsfeld von Autonomisierung und Fachkräftemangel N2 - Digital twins are seen as one of the key technologies of Industry 4.0. Although many research groups focus on digital twins and create meaningful outputs, the technology has not yet reached a broad application in the industry. The main reasons for this imbalance are the complexity of the topic, the lack of specialists, and the unawareness of the twin opportunities. The project "Digital Twin Academy" aims to overcome these barriers by focusing on three actions: Building a digital twin community for discussion and exchange, offering multi-stage training for various knowledge levels, and implementing realworld use cases for deeper insights and guidance. In this work, we focus on creating a flexible learning platform that allows the user to select a training path adjusted to personal knowledge and needs. Therefore, a mix of basic and advanced modules is created and expanded by individual feedback options. The usage of personas supports the selection of the appropriate modules. KW - Digital Twins KW - Knowledge Transfer KW - Training Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bsz:l189-qucosa2-776097 SN - 978-3-910103-00-9 N1 - 18. AALE-Konferenz. Pforzheim, 09.03.-11.03.2022 SP - 1 EP - 9 ER - TY - CHAP A1 - Evans, Benjamin A1 - Braun, Sebastian A1 - Ulmer, Jessica A1 - Wollert, Jörg F. T1 - AAS implementations - current problems and solutions T2 - 20th International Conference on Mechatronics - Mechatronika (ME) N2 - The fourth industrial revolution presents a multitude of challenges for industries, one of which being the increased flexibility required of manufacturing lines as a result of increased consumer demand for individualised products. One solution to tackle this challenge is the digital twin, more specifically the standardised model of a digital twin also known as the asset administration shell. The standardisation of an industry wide communications tool is a critical step in enabling inter-company operations. This paper discusses the current state of asset administration shells, the frameworks used to host them and their problems that need to be addressed. To tackle these issues, we propose an event-based server capable of drastically reducing response times between assets and asset administration shells and a multi-agent system used for the orchestration and deployment of the shells in the field. KW - Industry 4.0 KW - Multi-agent Systems KW - Digital Twin KW - Asset Administration Shell Y1 - 2022 SN - 978-1-6654-1040-3 U6 - https://doi.org/10.1109/ME54704.2022.9982933 N1 - 20th International Conference on Mechatronics - Mechatronika (ME), 07-09 December 2022, Pilsen, Czech Republic PB - IEEE CY - New York, NY ER - TY - JOUR A1 - Ulmer, Jessica A1 - Braun, Sebastian A1 - Cheng, Chi-Tsun A1 - Dowey, Steve A1 - Wollert, Jörg F. T1 - Human-Centered Gamification Framework for Manufacturing Systems JF - Procedia CIRP N2 - While bringing new opportunities, the Industry 4.0 movement also imposes new challenges to the manufacturing industry and all its stakeholders. In this competitive environment, a skilled and engaged workforce is a key to success. Gamification can generate valuable feedbacks for improving employees’ engagement and performance. Currently, Gamification in workspaces focuses on computer-based assignments and training, while tasks that require manual labor are rarely considered. This research provides an overview of Enterprise Gamification approaches and evaluates the challenges. Based on that, a skill-based Gamification framework for manual tasks is proposed, and a case study in the Industry 4.0 model factory is shown. Y1 - 2020 U6 - https://doi.org/10.1016/j.procir.2020.04.076 SN - 2212-8271 VL - 93 SP - 670 EP - 675 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Braun, Sebastian A1 - Cheng, Chi-Tsun A1 - Lai, Chow Yin A1 - Wollert, Jörg F. T1 - Microservice Architecture for Automation - Realization by the example of a model-factory’s manufacturing execution system T2 - Proceedings of the 23rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2019 Y1 - 2019 SP - 33 EP - 37 ER - TY - CHAP A1 - Chávez Bermúdez, Victor Francisco A1 - Wollert, Jörg F. T1 - An industry 4.0 ontology-based architecture for interoperability at the field level T2 - Automation, Robotics & Communications for Industry 4.0/5.0 N2 - Industrial field devices exchange information through standardized communication interfaces and data models, encompassing process data, communication properties, and vendor details. Despite enhancing interoperability within a specific protocol, integrating these devices with diverse systems poses challenges due to data model fragmentation and custom interfaces. The absence of a universal semantic model for categorizing field device process data independently of standards necessitates engineers to repetitively devise custom exchange data models for different sensors and actuators, relying on standards like OPC-UA. In response, this work proposes an ontology-based architecture to tackle information data model fragmentation, aiming for seamless data interoperability across a universal interface. By focusing on two open-access field device standards, IO-Link and CANOpen, we compare their information data models, identify existing limitations, and put forth a semantic information model. The objective is to offer an interoperable interface for Industry 4.0 applications, showcasing the potential of an ontology-based approach in streamlining data exchange and reducing heterogeneity among field devices. KW - Field devices KW - Interoperability KW - Ontology KW - Industry 4.0 KW - IO-Link Y1 - 2024 SN - 978-84-09-58219-8 U6 - https://doi.org/10.13140/RG.2.2.20923.18722 SN - 2938-4796 N1 - 4th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0 / 5.0 (ARCI’ 2024), 7-9 February 2024, Innsbruck, Austria SP - 319 EP - 321 PB - IFSA CY - Barcelona ER - TY - JOUR A1 - Ziemons, Karl A1 - Bruyndonckx, Peter A1 - Perez, Jose M. A1 - Pietrzyk, Uwe A1 - Rato, P. A1 - Tavernier, Stefaan T1 - Beyond ClearPET: Next Aims JF - 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Symposium Proceedings ISBI 2008 N2 - The CRYSTAL CLEAR collaboration, in short CCC, is a consortium of 12 academic institutions, mainly from Europe, joining efforts in the area of developing instrumentation for nuclear medicine and medical imaging. In the framework of the CCC a high performance small animal PET system, called ClearPET, was developed by using new technologies in electronics and crystals in a phoswich arrangement combining two types of lutetium- based scintillator materials: LSO:Ce and LuYAP:Ce. Our next aim will be the development of hybrid image systems. Hybrid MR-PET imaging has many unique advantages for brain research. This has sparked a new research line within CCC for the development of novel MR-PET compatible technologies. MRI is not as sensitive as PET but PET has poorer spatial resolution than MRI. Two major advantages of PET are sensitivity and its ability to acquire metabolic information. To assess these innovations, the development of a 9.4T hybrid animal MR-PET scanner is proposed based on an existing 9.4T MR scanner that will be adapted to enable simultaneous acquisition of MR and PET data using cutting- edge technology for both MR and PET. Y1 - 2008 SN - 978-1-4244-2003-2 SP - 1421 EP - 1424 ER - TY - JOUR A1 - Wedrowski, Mateusz A1 - Bruyndonckx, Peter A1 - Tavernier, Stefaan A1 - Zhi, Li A1 - Dang, Jun A1 - Mendes, Pedro Rato A1 - Perez, Jose Manuel A1 - Ziemons, Karl T1 - Robustness of neural networks algorithm for gamma detection in monolithic block detector, positron emission tomography JF - 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC) N2 - The monolithic scintillator block approach for gamma detection in the Positron Emission Tomography (PET) avoids estimating Depth of Interaction (DOI), reduces dead zones in detector and diminishes costs of detector production. Neural Networks (NN) are very efficient to determine the entrance point of a gamma incident on a scintillator block. This paper presents results on the robustness of the spatial resolution as a function of the random fraction in the data, temperature and HV fluctuations. This is important when implementing the method in a real scanner. Measurements were done with two Hamamatsu S8550 APD arrays, glued on a 20 × 20 × 10 mm3 monolithic LSO crystal block. Y1 - 2009 SN - 1082-3654 SP - 2625 EP - 2628 ER -