TY  - RPRT
A1  - Biermayr, Peter
A1  - Dißauer, Christa
A1  - Eberl, Manuela
A1  - Enigl, Monika
A1  - Fechner, Hubert
A1  - Fischer, L.
A1  - Leonhartsberger, Kurt
A1  - Maringer, F.
A1  - Moidl, S.
A1  - Schmidl, C.
A1  - Strasser, C.
A1  - Weiss, W.
A1  - Wonisch, P.
A1  - Wopienka, E.
T1  - Innovative Energietechnologien in Österreich - Marktentwicklung 2018
T2  - BMVIT Schriftenreihe 04/2018
KW  - Energy Technology
KW  - Economy
KW  - Market
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  - JOUR
A1  - Zhang, Hang
A1  - Yao, Yuan
A1  - Ma, Yingxin
A1  - Lackner, Maximilian
A1  - Jiang, Yunliang
T1  - A 3D printing tool-path generation strategy based on the partition of principal stress field for fused filament fabrication
JF  - The International Journal of Advanced Manufacturing Technology
N2  - In order to enhance the strength of 3D-printed parts made of polymer materials and reduce the anisotropy caused by the fused filament fabrication process, this paper proposes an inter-layer interleaved composite path planning method based on the directional partition of the principal stress field. This method not only ensures intra-layer reinforcement under specific working conditions but also increases the strength of the printed part by enhancing the adhesion of adjacent layers through staggered filling between layers. The mechanical performance is improved by 10 to 30% compared to other conventional filling patterns such as the zigzag filling algorithm. Inter-layer interleaved composite enhancement path planning method is suitable for path planning of structures with complex shapes and is easily integrated into existing general computer-aided engineering processes.
KW  - Principal stress field
KW  - Anisotropy strength
KW  - Clustering
Y1  - 
IS  - 122
SP  - 1719
EP  - 1735
ER  - 
TY  - JOUR
A1  - Wöber, Wilfried
A1  - Curto, Manuel
A1  - Tibihika, Papius D.
A1  - Meulenboek, Paul
A1  - Alemayehu, Esayas
A1  - Mehnen, Lars
A1  - Meimberg, Harald
A1  - Sykacek, Peter
T1  - Identifying geographically differentiated features of Ethopian Nile tilapia (Oreochromis niloticus) morphology with machine learning
JF  - PlosONE
KW  - Machine Learning
Y1  - 
VL  - 16
IS  - 4
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  - GEN
A1  - Spulak, David
A1  - Otrebski, Richard
A1  - Kubinger, Wilfried
T1  - Object Tracking by Combining Supervised and Adaptive Online Learning through Sensor Fusion of Multiple Stereo Camera Systems
KW  - Object Tracking
Y1  - 
ER  - 
TY  - JOUR
A1  - Taghavi, Marziyeh
A1  - Taghizadeh, Akbar
A1  - Mehmannavaz, Yousef
A1  - Hosseinkhani, Ali
A1  - Mohammadzadeh, Hamid
A1  - Macit, Muhlis
A1  - Palangi, Valiollah
A1  - Lackner, Maximilian
T1  - Degradability of Vicia ervilia Grain Using In Situ and CNCPS Methods, and Model-Based Analysis of Its Ruminal Degradation
JF  - Fermentation
N2  - Using nylon bag techniques, Cornell net carbohydrates and protein systems (CNCPS), and scanning electron microscopy, the authors examined the digestibility and structure of Vicia ervilia (ervil, bitter vetch) after steam flaking, roasting, and microwave processing. During the in situ technique, the samples were incubated at 0, 2, 4, 6, 8, 12, 16, 24, 36, and 48 h. For the description of the ruminal DM (dry matter) and CP (crude protein) degradation kinetics of treated and untreated Vicia ervilia, different models were selected as the best fit for the dry matter (DM) and crude protein (CP) degradation parameters of steam flaked samples. The results showed that both the steam flaking and microwave treatment samples contained high levels of non-protein nitrogen and buffer soluble protein, respectively. In comparison with steam flaking and microwave treatment, roasting decreased and increased the buffer soluble protein and neutral detergent insoluble protein, respectively. The control treatments showed the highest levels of neutral detergent soluble protein and the lowest levels of acid detergent soluble protein. Moreover, steam flaking and roasting decreased and increased the amount of acid detergent insoluble protein, respectively. When using dry heat (microwave and roasting), the acid detergent soluble and insoluble protein fractions were increased. As a result of this experiment, the nitrogen fractions were altered using heat processing. Hence, protein fermented feed and ruminal fermentation conditions can be expressed using these results.
KW  - Vicia ervilia
KW  - steam flaking
KW  - microwave
KW  - roasting
Y1  - 
U6  - http://dx.doi.org/10.3390/fermentation9050419
VL  - 9
IS  - 5
ER  - 
TY  - JOUR
A1  - Ahmadzadeh, Leila
A1  - Hosseinkhani, Ali
A1  - Palangi, Valiollah
A1  - Lackner, Maximilian
T1  - Supplementary Feed Additives Can Improve Lamb Performance in Terms of Birth Weight, Body Size, and Survival Rate
JF  - Animals
KW  - feed restriction
KW  - monensin sodium
KW  - offspring performance
Y1  - 
U6  - http://dx.doi.org/10.3390/ani13060993
IS  - 13 / 6
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  - JOUR
A1  - Sattinger, Vinzenz
A1  - Papa, Maximilian
A1  - Stuja, Kemajl
A1  - Kubinger, Wilfried
T1  - Methodik zur Entwicklung sicherer kollaborativer Produktionssysteme im Rahmen von Industrie 4.0
JF  - e & i Elektrotechnik und Informationstechnik
KW  - Robotics
KW  - Industry 4.0
Y1  - 
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  - JOUR
A1  - Muehleisen, Wolfgang
A1  - Eder, Gabriele C.
A1  - Voronko, Yuliya
A1  - Spielberger, Markus
A1  - Sonnleitner, Horst
A1  - Knöbl, Karl
A1  - Ebner, Rita
A1  - Ujvari, Gusztáv
A1  - Hirschl, Christina
T1  - Outdoor detection and visualization of hailstorm damages of photovoltaic plants
JF  - Renewable Energy
KW  - Photovoltaics
KW  - Damage Detection
KW  - Hailstorms
Y1  - 2018
IS  - 118
SP  - 138
EP  - 145
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  - BOOK
A1  - Lackner, Maximilian
A1  - Chen, Wei-Ying,
A1  - Suzuki, Toshio
T1  - Handbook of Climate Change Mitigation and Adaptation
KW  - Climate Change
Y1  - 2018
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  -