Results 81 to 90 of about 116,832 (264)
Research on the effectiveness of a intersection risk warning system based on driving simulation experiment. [PDF]
Zhou Y, Guo F, Yang W, Wan H.
europepmc +1 more source
Elinvar Materials: Recent Progress and Challenges
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley +1 more source
Predicting driving speed from psychological metrics in a virtual reality car driving simulation. [PDF]
Ju U, Williamson J, Wallraven C.
europepmc +1 more source
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart +3 more
wiley +1 more source
Recovery of driving skills after endoscopy under propofol sedation: a prospective pilot study to assess the driving skills after endoscopic sedation using driving simulation. [PDF]
Hao XW +6 more
europepmc +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
GAN-Based LiDAR Translation between Sunny and Adverse Weather for Autonomous Driving and Driving Simulation. [PDF]
Lee J +4 more
europepmc +1 more source
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source
Machine Learning-Based Dynamic Modeling of Ball Joint Friction for Real-Time Applications
Ball joints are components of the vehicle axle, and their friction characteristics must be considered when evaluating vibration behavior and ride comfort in driving simulator-based simulations.
Kai Pfitzer +4 more
doaj +1 more source
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source

