TY - CHAP A1 - Bululukova, Darya A1 - Wahl, Harald T1 - Towards a Sustainable Smart Cities Integration in Teaching and Research T2 - Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, 101-106, 2015, Lisbon, Portugal KW - Smart City Y1 - ER - TY - CHAP A1 - Tabakovic, Momir A1 - Bululukova, Darya A1 - Wahl, Harald T1 - Smart Cities Education as Mobility, Energy & ICT Hub T2 - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS) 2016 KW - Smart City KW - Education KW - Mobility KW - Energy KW - ICT Y1 - 2018 ER - TY - CHAP A1 - Leonhartsberger, Kurt A1 - Meisel, M. A1 - Picler, M. A1 - Schidler, Susanne A1 - Fotiadis, Lampros A1 - Xypolytou, E. A1 - Werner, Andrea T1 - System relevant Applications for Battery Storage Systems T2 - 33rd Passive Low Energy Architecture Conference (PLEA 2017), Edinburgh, Scotland, Proceedings Vol. III KW - Battery Storage Systems KW - Energy Storage Y1 - ER - TY - CHAP A1 - Illich, Peter A1 - Eder, Gabriele C. A1 - Berger, Karl A. A1 - Ujvári, Gusztáv A1 - Rechberger, P. A1 - Moor, D. A1 - Aichinger, Martin T1 - Comparative Performance Measurements of Identical BIPV-Elements in Different Climatic Environments - A Round Robin Action within the IEA PVPS Task 15 Collaboration T2 - 35th European Photovoltaic Solar Energy Conference and Exhibition KW - Photovoltaics KW - Solar Power Y1 - SN - 3-936338-50-7 ER - TY - CHAP A1 - Wöber, Wilfried A1 - Tibihika, Papius D A1 - Olaverri-Monreal, Cristina A1 - Mehnen, Lars A1 - Sykacek, Peter A1 - Meimberg, Harald T1 - Comparison of Unsupervised Learning Methods for Natural Image Processing T2 - Biodiversity Information Science and Standards KW - Machine Learning KW - Deep Learning KW - Image Processing Y1 - IS - 3 ER - TY - CHAP A1 - Wöber, Wilfried A1 - Szuegyi, Daniel A1 - Kubinger, Wilfried A1 - Mehnen, Lars T1 - A principal component analysis based object detection for thermal infra-red images T2 - Proceedings of the 55th International Symposium ELMAR KW - Principal Component Analysis KW - Object Detection KW - Infra-Red Camera Y1 - 2019 ER - TY - CHAP A1 - Wöber, Wilfried A1 - Aburaia, Mohamed A1 - Olaverri-Monreal, Cristina T1 - Classification of Streetsigns Using Gaussian Process Latent Variable Models T2 - 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE), Graz, Austria KW - Streetsigns KW - Gaussian KW - Vehicles Y1 - 2020 ER - TY - CHAP A1 - Tabakovic, Momir A1 - Bululukova, Darya A1 - Wahl, Harald T1 - Integrative Secondary Education Programmes and Research in Smart Cities Context T2 - Proceedings of the REAL CORP 2016 KW - Smart City KW - Education Y1 - 2018 ER - TY - CHAP A1 - Papa, Maximilian A1 - Kaselautzke, David A1 - Radinger, Thomas A1 - Stuja, Kemajl T1 - Development of a safety industry 4.0 production environment T2 - 28th DAAAM International Symposium on Intelligent Manufacturing and Automation KW - Saftey KW - Robotics Y1 - 2020 ER - TY - CHAP A1 - Angel, Nikolaus A1 - Orsolits, Horst A1 - Garcia, Jose T1 - Developing an AR Based Tool for Teaching Motion Analysis on Assembly Tasks T2 - 2022 8th International Conference of the Immersive Learning Research Network (iLRN), 2022 N2 - Engineering education courses look into processes, equipment and people in order to prepare students to tackle problems in their careers. In manufacturing industry, it is important to use virtual manufacturing tools to analyse processes. This includes both equipment and people. Assembly operations can involve human operators. Modular arrangements of predetermined time standards MODAPTS is a predetermined motion time system method used to analyse assembly processes. Augmented reality (AR) is increasingly being used for industrial processes as well as in education. AR application have been used for maintenance training as a useful way to overly digital instructions to a trainee whilst being able to look at a real object. This is potential beneficial for education. This paper presents the evaluation of a prototype to test a predetermined time standards model using an AR application. An evaluation was carried out comparing AR-based instructions in tablet and PC monitor and paper-written instructions. The results of evaluating the prototype encourage their use as an educational tool in engineering courses. KW - Augmented Reality KW - Education Technology KW - Virtual Engineering KW - Assembly Assistance Y1 - SN - 978-1-7348-9952-8 U6 - http://dx.doi.org/10.23919/iLRN55037.2022.9815914 ER -