scholarly journals Preliminary Evaluation of an Augmented Reality Collaborative Process Modelling System

2012 ◽  
Author(s):  
Erik Poppe ◽  
Ross Brown ◽  
Daniel Johnson ◽  
Jan Recker
Keyword(s):  
Augmented Reality ◽  
Process Modelling ◽  
Preliminary Evaluation ◽  
Collaborative Process ◽  
Modelling System

scholarly journals Developing and Investigating 0.35-micron SPICE-model of SOI MOS-transistor With F-type Gate Geometry Using TCAD Instrument-process Modelling System

2018 ◽  
pp. 430-434
Author(s):  
Yashin George A. ◽  
Glushko Andrey A. ◽  
Chistyakov Mikhail G. ◽  
Makarchuk Vladimir V. ◽  
Novoselov Anton S. ◽  
...  
Keyword(s):  
Process Modelling ◽  
Mos Transistor ◽  
Spice Model ◽  
Modelling System

Using Three-Dimensional Augmented Reality to Enhance General Aviation Weather Training

2021 ◽  
Vol 65 (1) ◽  
pp. 272-276
Author(s):  
Philippe Meister ◽  
Jack Miller ◽  
Kexin Wang ◽  
Michael C. Dorneich ◽  
Eliot Winer ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Visual Cues ◽  
Three Dimensional ◽  
General Aviation ◽  
Preliminary Evaluation ◽  
Usability Study ◽  
Weather Patterns ◽  
Training Materials ◽  
Ar Models ◽  
Content Design

This work evaluates augmented reality (AR) training materials for general aviation (GA) weather training. Reviews of GA weather training identify gaps where students lack opportunities to experience weather patterns and lack the ability to correlate weather knowledge in weather-related situations. Three-dimensional (3D) visual models may help close the gaps by visualizing information about weather processes, hazards, and visual cues. A 3D AR thunderstorm model visualizes a single-cell thunderstorm clouds, winds, precipitation, lightning, and advective movement. Preliminary evaluation of the model was conducted through a subject matter expert (SME) review and a usability study. The SME review identified improvements to the model and areas for future content design. The usability study identified usability issues with the model. Insights about the design of weather visualizations are developed into recommendations. The approach will integrate 3D AR models into the weather training curriculum to create interactive print training.

Preliminary Evaluation of a Weibull Function for Fitting Slow-Component Eye Velocity over the Time Course of Caloric-Induced Nystagmus

1989 ◽  
Vol 32 (3) ◽  
pp. 681-687 ◽  
Author(s):  
C. Formby ◽  
B. Albritton ◽  
I. M. Rivera
Keyword(s):  
Time Course ◽  
Slow Component ◽  
Weibull Function ◽  
Preliminary Evaluation ◽  
Mathematical Function ◽  
Before And After ◽  
Best Fitting ◽  
Eye Velocity ◽  
Fitting Parameters ◽  
Weibull Equation

We describe preliminary attempts to fit a mathematical function to the slow-component eye velocity (SCV) over the time course of caloric-induced nystagmus. Initially, we consider a Weibull equation with three parameters. These parameters are estimated by a least-squares procedure to fit digitized SCV data. We present examples of SCV data and fitted curves to show how adjustments in the parameters of the model affect the fitted curve. The best fitting parameters are presented for curves fit to 120 warm caloric responses. The fitting parameters and the efficacy of the fitted curves are compared before and after the SCV data were smoothed to reduce response variability. We also consider a more flexible four-parameter Weibull equation that, for 98% of the smoothed caloric responses, yields fits that describe the data more precisely than a line through the mean. Finally, we consider advantages and problems in fitting the Weibull function to caloric data.

Amp Up Your Treatment With Augmented Reality

ASHA Leader ◽  
2013 ◽  
Vol 18 (9) ◽  
pp. 14-14 ◽  
Keyword(s):  
Augmented Reality

Amp Up Your Treatment With Augmented Reality

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