The Use of High-Fidelity Real-Time Driving Simulators for Geometric Design

2011 ◽  
Author(s):  
Thomas Granda ◽  
Gregory Davis ◽  
Vaughan Inman ◽  
John Molino
Keyword(s):  
Real Time ◽  
Geometric Design ◽  
High Fidelity ◽  
Driving Simulators

Robust and high fidelity real-time hybrid substructuring

2021 ◽  
Vol 157 ◽  
pp. 107720
Author(s):  
Christina Insam ◽  
Arian Kist ◽  
Henri Schwalm ◽  
Daniel J. Rixen
Keyword(s):  
Real Time ◽  
High Fidelity

Introducing MantisBot: Hexapod robot controlled by a high-fidelity, real-time neural simulation

2015 ◽  
Author(s):  
Nicholas S. Szczecinski ◽  
David M. Chrzanowski ◽  
David W. Cofer ◽  
Andrea S. Terrasi ◽  
David R. Moore ◽  
...  
Keyword(s):  
Real Time ◽  
High Fidelity ◽  
Hexapod Robot ◽  
Neural Simulation

Dynamic Data-Driven Spatiotemporal System Behavior Prediction With Simulations and Sensor Measurement Data

2018 ◽  
Author(s):  
Xiangxue Zhao ◽  
Shapour Azarm ◽  
Balakumar Balachandran
Keyword(s):  
Dynamical System ◽  
Real Time ◽  
Measurement Data ◽  
Data Driven ◽  
Sensor Data ◽  
Model Parameters ◽  
High Fidelity ◽  
System Behavior ◽  
Sensor Measurement

Online prediction of dynamical system behavior based on a combination of simulation data and sensor measurement data has numerous applications. Examples include predicting safe flight configurations, forecasting storms and wildfire spread, estimating railway track and pipeline health conditions. In such applications, high-fidelity simulations may be used to accurately predict a system’s dynamical behavior offline (“non-real time”). However, due to the computational expense, these simulations have limited usage for online (“real-time”) prediction of a system’s behavior. To remedy this, one possible approach is to allocate a significant portion of the computational effort to obtain data through offline simulations. The obtained offline data can then be combined with online sensor measurements for online estimation of the system’s behavior with comparable accuracy as the off-line, high-fidelity simulation. The main contribution of this paper is in the construction of a fast data-driven spatiotemporal prediction framework that can be used to estimate general parametric dynamical system behavior. This is achieved through three steps. First, high-order singular value decomposition is applied to map high-dimensional offline simulation datasets into a subspace. Second, Gaussian processes are constructed to approximate model parameters in the subspace. Finally, reduced-order particle filtering is used to assimilate sparsely located sensor data to further improve the prediction. The effectiveness of the proposed approach is demonstrated through a case study. In this case study, aeroelastic response data obtained for an aircraft through simulations is integrated with measurement data obtained from a few sparsely located sensors. Through this case study, the authors show that along with dynamic enhancement of the state estimates, one can also realize a reduction in uncertainty of the estimates.

scholarly journals Effectiveness of High Fidelity Video-Assisted Real-Time Simulation: A Comparison of Three Training Methods for Acute Pediatric Emergencies

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Ester H. A. J. Coolen ◽  
Jos M. T. Draaisma ◽  
Marije Hogeveen ◽  
Tim A. J. Antonius ◽  
Charlotte M. L. Lommen ◽  
...  
Keyword(s):  
Real Time ◽  
High Fidelity ◽  
Training Methods ◽  
Real Time Simulation ◽  
Pediatric Emergencies ◽  
Video Assisted ◽  
Time Simulation

scholarly journals Show or Tell? Teaching with language outperforms demonstration but only when context is shared

2021 ◽  
Author(s):  
Theodore Sumers ◽  
Mark K Ho ◽  
Robert Hawkins ◽  
Tom Griffiths
Keyword(s):  
Real Time ◽  
Comparative Approach ◽  
High Fidelity ◽  
Linguistic Communication ◽  
Communicative Acts ◽  
Wide Range ◽  
The World ◽  
High Bandwidth ◽  
Abstract Language ◽  
Shared Context

People use a wide range of communicative acts, from concrete demonstrations to abstract language. What are the strengths and weaknesses of such different modalities? We present a series of real-time, multi-player experiments asking participants to teach (Boolean) concepts using either demonstrations or language. Our first experiment (N = 454) manipulated the complexity of the concept, finding that linguistic (but not demonstrative) teaching enables high-fidelity transmission of more complex concepts. Why, then, do humans use both demonstrations and language? As a form of conventionalized communication, language relies on shared context between speaker and listener, whereas demonstrations are inherently grounded in the world. We hypothesized linguistic communication would be more sensitive to perturbations of shared context than demonstrations. Our second experiment (N = 568) manipulated teachers’ ability to see the features that defined the concept. This restriction severely impaired linguistic (but not demonstrative) teaching. Our comparative approach confirms language relies on shared context to permit high bandwidth communication; in contrast, demonstrations are lower-bandwidth but more robust.

A Modular Code for Real Time Dynamic Simulation of Gas Turbines in Simulink

2002 ◽  
Vol 128 (3) ◽  
pp. 506-517 ◽  
Author(s):  
S. M. Camporeale ◽  
B. Fortunato ◽  
M. Mastrovito
Keyword(s):  
Mathematical Model ◽  
Real Time ◽  
Gas Turbine ◽  
Dynamic Behavior ◽  
Gas Turbines ◽  
Simulation Software ◽  
Computational Time ◽  
High Fidelity ◽  
Time Step ◽  
The Mathematical Model

A high-fidelity real-time simulation code based on a lumped, nonlinear representation of gas turbine components is presented. The code is a general-purpose simulation software environment useful for setting up and testing control equipments. The mathematical model and the numerical procedure are specially developed in order to efficiently solve the set of algebraic and ordinary differential equations that describe the dynamic behavior of gas turbine engines. For high-fidelity purposes, the mathematical model takes into account the actual composition of the working gases and the variation of the specific heats with the temperature, including a stage-by-stage model of the air-cooled expansion. The paper presents the model and the adopted solver procedure. The code, developed in Matlab-Simulink using an object-oriented approach, is flexible and can be easily adapted to any kind of plant configuration. Simulation tests of the transients after load rejection have been carried out for a single-shaft heavy-duty gas turbine and a double-shaft aero-derivative industrial engine. Time plots of the main variables that describe the gas turbine dynamic behavior are shown and the results regarding the computational time per time step are discussed.

Real-time, high fidelity conversion of ultrafast waveforms in a PPLN time-to-space processor

2013 ◽  
Author(s):  
Dan M. Marom ◽  
Dror Shayovitz ◽  
Harald Herrmann ◽  
Wolfgang Sohler ◽  
Raimund Ricken ◽  
...  
Keyword(s):  
Real Time ◽  
High Fidelity
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