Adaptive spectral elements for diffuse interface multi-fluid flow

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Analysis of ISO 26262 Compliant Techniques for the Automotive Domain

The ISO 26262 standard denes functional safety for automotive E/E systems. Since the publication of the rst edition of this standard in 2011, many dierent safety techniques complying to the ISO 26262 have been developed. However, it is not clear which parts and (sub-) phases of the standard are targeted by these techniques and which objectives of the standard are particularly addressed. Therefore, we carried out a gap analysis to identify gaps between the safety standard objectives of the part 3 till 7 and the existing techniques. In this paper the results of the gap analysis are presented such as we identied that there is a lack of mature tool support for the ASIL sub-phase and a need for a common platform for the entire product development cycle

Analysis of ISO 26262 Compliant Techniques for the Automotive Domain

The ISO 26262 standard denes functional safety for automotive E/E systems. Since the publication of the rst edition of this standard in 2011, many dierent safety techniques complying to the ISO 26262 have been developed. However, it is not clear which parts and (sub-) phases of the standard are targeted by these techniques and which objectives of the standard are particularly addressed. Therefore, we carried out a gap analysis to identify gaps between the safety standard objectives of the part 3 till 7 and the existing techniques. In this paper the results of the gap analysis are presented such as we identied that there is a lack of mature tool support for the ASIL sub-phase and a need for a common platform for the entire product development cycle

Three-dimensional coarsening dynamics of a conserved, nematic liquid crystal-isotropic fluid mixture

We present a numerical investigation of the three-dimensional coarsening dynamics of a nematic liquid crystal-isotropic fluid mixture using a conserved phase field model. The model is a coupled system for a generalized Cahn–Hilliard equation for the order parameter ϕ, related to the volume fraction of the nematic component, and a simplified de Gennes–Prost evolution equation for the director field n, which describes the mean orientation of the rigid rod-like, liquid crystal molecules. We find that, as in the two-dimensional system, the orientational distortion induced by interfacial anchoring has profound effects both on the morphology and the coarsening rate. However, we identify significant differences in the three-dimensional and two-dimensional coarsening processes. In particular, we find a remarkable, new 3-stage late coarsening process with markedly different coarsening rates in the three-dimensional bicontinuous phase separation with homeotropic anchoring, unseen in the two-dimensional system

Model-based simulation and threat analysis of in-vehicle networks

\u3cp\u3eAutomotive systems are currently undergoing a rapid evolution through the integration of the Internet of Things (IoT) and Software Defined Networking (SDN) technologies. The main focus of this evolution is to improve the driving experience, including automated controls, intelligent navigation and safety systems. Moreover, the extremely rapid pace that such technologies are brought into the vehicles, necessitates the presence of adequate testing of new features to avoid operational errors. Apart from testing though, IoT and SDN technologies also widen the threat landscape of cyber-security risks due to the amount of connectivity interfaces that are nowadays exposed in vehicles. In this paper we present a new method, based on OMNET++, for testing new in-vehicle features and assessing security risks through network simulation. The method is demonstrated through a case-study on a Toyota Prius, whose network data are analyzed for the detection of anomalies caused from security threats or operational errors.\u3c/p\u3

Model-based simulation and threat analysis of in-vehicle networks

Automotive systems are currently undergoing a rapid evolution through the integration of the Internet of Things (IoT) and Software Defined Networking (SDN) technologies. The main focus of this evolution is to improve the driving experience, including automated controls, intelligent navigation and safety systems. Moreover, the extremely rapid pace that such technologies are brought into the vehicles, necessitates the presence of adequate testing of new features to avoid operational errors. Apart from testing though, IoT and SDN technologies also widen the threat landscape of cyber-security risks due to the amount of connectivity interfaces that are nowadays exposed in vehicles. In this paper we present a new method, based on OMNET++, for testing new in-vehicle features and assessing security risks through network simulation. The method is demonstrated through a case-study on a Toyota Prius, whose network data are analyzed for the detection of anomalies caused from security threats or operational errors

Supporting 3D and VR applications in a metacomputing environment

\u3cp\u3e3D and VR applications require large amounts of computing time. In most applications it has to be available in a specific time span. In Cave or Immersive desk environments the power has to be available real-time. Much preparation can, however, be done on a longer time scale. Complex 3D applications in for instance the media industry require large computation power for rendering purposes in a timescale ranging from hours to a few days. Metacomputing environments, including a large number of machines, can be a useful tool for supporting these VR and 3D applications. Within the EROPPA project, a software environment for use by post production companies has been developed. Currently extensions to virtual surgery applications are investigated.\u3c/p\u3

Application of mortar elements to diffuse-interface methods

An adaptive 2D mesh refinement technique based on mortarspectral elements applied to diffuse-interface methods is presented. The refinement algorithm tracksthe movement of the 2D diffuse-interface and subsequently refines the mesh locally at that interface, whilecoarsening the mesh in the rest of the computational domain, based on error estimators. Convergence of the methodis validated using a Gaussian distribution problem and results are presented for a Cahn-Hilliard diffuseinterface model applied to capture the transient dynamics of polymer blends