In-Field Simulation and Training: Enabling the Use of Electronic Media in Highly Mobile High-End 3D Applications for Viszualization, Simulation, Training, Planning, and Assistance

Author(s):  
Michael Schluse ◽  
Ralf Waspe ◽  
Thorsten Wujek ◽  
Roland Wischnewski ◽  
Ralf Otten ◽  
...  
2011 ◽  
Vol 354-355 ◽  
pp. 1179-1183
Author(s):  
Guang Ying Ran ◽  
Xiang Ji

This paper analyzes the traditional structure and the simulation function of training simulation system in the intelligent substation, put forward a kind of intelligent substation simulation training system, can promote on running personnel training, and utilize effectively of the substation simulation training system.


2011 ◽  
Vol 354-355 ◽  
pp. 901-905
Author(s):  
Guang Ying Ran ◽  
Jun Zhou Liu ◽  
Li Hong Chen

This paper analyzes the simulation function about switching operation simulation in the training simulation system of intelligent substation, and proposes a kind of training methods about switching operation, it promote running on duty personnel training, and effectively utilizes the substation simulation training system. At the same time puts forward intelligent reasoning machine system.


2021 ◽  
Vol 5 (1) ◽  
pp. 17
Author(s):  
Miguel Ángel Ruiz Reina

In this research, a new uncertainty method has been developed and applied to forecasting the hotel accommodation market. The simulation and training of Time Series data are from January 2001 to December 2018 in the Spanish case. The Log-log BeTSUF method estimated by GMM-HAC-Newey-West is considered as a contribution for measuring uncertainty vs. other prognostic models in the literature. The results of our model present better indicators of the RMSE and Ratio Theil’s for the predictive evaluation period of twelve months. Furthermore, the straightforward interpretation of the model and the high descriptive capacity of the model allow economic agents to make efficient decisions.


2020 ◽  
Vol 31 (5) ◽  
pp. 753-753
Author(s):  
Andrea Dell’Amore ◽  
Rafael Boscolo-Berto ◽  
Marco Schiavona ◽  
Alessandro Pangoni ◽  
Andrea Porzionato ◽  
...  

2007 ◽  
Vol 6 (s2) ◽  
pp. S427-S444 ◽  
Author(s):  
Sergiu Dascalu ◽  
Sermsak Buntha ◽  
Daniela Saru ◽  
Narayan Debnath

2009 ◽  
Vol 103 (5) ◽  
pp. 770-771 ◽  
Author(s):  
A. Guha ◽  
M.J. Moneypenny ◽  
S.J. Mercer

1978 ◽  
Vol 6 (4) ◽  
pp. 285-292 ◽  
Author(s):  
Robert W. Swezey

A discussion of potential future directions in the areas of simulation and training is presented. Advantages, disadvantages and problems associated with training-oriented simulations are discussed, and several areas including: holography, social processes, mnemonics, trance learning, and electrical and biochemical brain stimulation are presented as fertile areas for increased development in the future.


2000 ◽  
Vol 22 (4) ◽  
pp. 383-396 ◽  
Author(s):  
David M. Lane ◽  
Zhihua Tang

The effectiveness of simulations for teaching statistical concepts was compared to the effectiveness of a textbook. The variable Medium (simulation versus textbook) and Question specificity (Specific versus Non-specific), were manipulated factorially. Question specificity was defined as follows: Subjects were presented with a scenario in which gumballs were sampled from an urn. Subjects in the “Specific” condition were given a specific question about the outcome of the sampling procedure to consider; subjects in the “Non-specific” condition were asked generally to consider what would happen. A no-treatment control was included. The subjects consisted of 115 college students. The dependent variable was performance on problems requiring subjects to apply what they learned to ill defined everyday problems. Subjects trained by simulation performed significantly better than those trained with a textbook. Subjects in the “Specific” condition performed better than those in the “Non-specific” condition, although the difference did not reach conventional levels of significance. These results support the increasing use of simulation in education and training.


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