25 citations · 45 across the 8 of their papers we have counts for
9 papers
LEMONS: Leveraging Model-Based Techniques to Enable Non-Intrusive Semantic Enrichment in Wireless Sensor Networks
Jan Novacek, Arthur Kühlwein, Sebastian Reiter +3
The paper presents an efficient approach to the semantic enrichment of measured sensor data in Wireless Sensor Networks (WSNs), by bridging techniques from Model-driven Software De…
Reasoning-supported Robustness Validation of Automotive E/E Components
Jan Novacek, Alexander Viehl, Oliver Bringmann +1
This article presents an ontology-supported approach to tackle the complexity of the Robustness Validation (RV) process of automotive electrical/electronic (E/E) components. The ap…
Ontology-supported Design Parameter Management for Change Impact Analysis
Jan Novacek, Ali Ahari, Alessandro Cornaglia +4
This paper presents an ontology-supported approach to the management of design parameters in engineering. This approach aims specifically at enabling Change Impact Analysis through…
Ontology-based Requirements Transformation
Jan Novacek, Alexander Viehl, Oliver Bringmann +1
This paper presents an ontology-based approach to the supply chain-aware transformation of functional and environmental load requirements given by so-called Mission Profiles (MPs).…
Verification of Component Fault Trees Using Error Effect Simulations
Sebastian Reiter, Marc Zeller, Kai Hoefig +3
The growing complexity of safety-relevant systems causes an increasing effort for safety assurance. The reduction of development costs and time-to-market, while guaranteeing safe o…
Training Decision Trees as Replacement for Convolution Layers
Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel +1
We present an alternative layer to convolution layers in convolutional neural networks (CNNs). Our approach reduces the complexity of convolutions by replacing it with binary decis…
Eye movement simulation and detector creation to reduce laborious parameter adjustments
Wolfgang Fuhl, Thiago Santini, Thomas Kuebler +3
Eye movements hold information about human perception, intention and cognitive state. Various algorithms have been proposed to identify and distinguish eye movements, particularly…
PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection
Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci +2
Real-time, accurate, and robust pupil detection is an essential prerequisite for pervasive video-based eye-tracking. However, automated pupil detection in realworld scenarios has p…
Cycle Accurate Binary Translation for Simulation Acceleration in Rapid Prototyping of SoCs
Jurgen Schnerr, Oliver Bringmann, Wolfgang Rosenstiel
In this paper, the application of a cycle accurate binary translator for rapid prototyping of SoCs will be presented. This translator generates code to run on a rapid prototyping s…