scholarly journals Development of Stewart Platform installed Turntable for Manned Flight Virtual Training Simulator

2020 ◽  
Vol 28 (4) ◽  
pp. 125-131
Author(s):  
Sangwon SO ◽  
Jaehoon Woo ◽  
Chunhan Hong
Author(s):  
Heather A. Holbrook ◽  
Katherine S. Cennamo

Perceptions of one's ability to perform a task, or self-efficacy, is one aspect of the multifaceted nature of an individual's identity. It is generally accepted that having a high perceived self-efficacy about a certain task can lead to positive performance outcomes. Bandura (1977) has suggested that efficacy influences and expectations can come from four sources: personal performance accomplishments; vicarious experiences; verbal persuasion; and emotional arousal. Trainers and training agencies use a variety of simulations and simulators to provide learners with valuable and necessary training experiences. This mixed methods study explored the influence of one high-fidelity virtual training simulator on the learners' self-efficacy. Participants in this study were recruits enrolled in a law enforcement academy. Data were collected through pre- and post-simulation-use surveys that combined general self-efficacy questions (Schwarzer & Jerusalem, 1995) and task-specific self-efficacy questions (Bandura, 1977, 1997, 2006; Bandura, Adams, Hardy, & Howells, 1980), observations of participants using the simulator, and post simulator interviews. The most prominent theme that emerged from the data was emotional arousal due to the realism of the virtual environment. Emotional arousal seemed to impact both their perceived self-efficacy and task performance; yet, despite the variety of emotional arousal they experienced, the participants perceived their training in the high-fidelity virtual training simulator as valuable.


2016 ◽  
Vol 128 ◽  
pp. 513-520 ◽  
Author(s):  
Thomas Uhlig ◽  
Frank-Cyrus Roshani ◽  
Ciro Amodio ◽  
Alessandro Rovera ◽  
Nikola Zekusic ◽  
...  

2016 ◽  
Vol 31 (9) ◽  
pp. 3527-3533 ◽  
Author(s):  
Denis Dorozhkin ◽  
◽  
Jaisa Olasky ◽  
Daniel B. Jones ◽  
Steven D. Schwaitzberg ◽  
...  

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 12496-12511 ◽  
Author(s):  
Beom Kwon ◽  
Junghwan Kim ◽  
Kyoungoh Lee ◽  
Yang Koo Lee ◽  
Sangjoon Park ◽  
...  

2008 ◽  
Vol 2 (3) ◽  
pp. 151-158 ◽  
Author(s):  
Sofía Bayona ◽  
José Manuel Fernández-Arroyo ◽  
Isaac Martín ◽  
Pilar Bayona

2017 ◽  
Vol 265 ◽  
pp. 1026-1033 ◽  
Author(s):  
M.A. Sosedkova ◽  
L.V. Radionova ◽  
T.A. Lisovskaya

We herein present a mathematical model of hot rolling temperature parameters that factors in how the strip temperature changes in the rolling stand and in the inter-stand gap as well as when metal is transported along the mill train. It factors in the temperature losses caused by thermal radiation and the convective transfer of heat from and to the environment, occurring in the inter-stand gap; temperature losses are also caused by the contact heat transfer from and to the rollers as well as by the heating of the strip in the plastic deformation site. This paper presents the results of using this model to make calculations for a wide-strip hot rolling mill. It illustrates how the model could be used in the algorithm for building a state-of-the-art virtual training simulator.


Author(s):  
Matthew J. Heying ◽  
James H. Oliver ◽  
Sriram Sundararajan ◽  
Pranav Shrotriya ◽  
Qingze Zou

Training novice users how to operate an Atomic Force Microscope (AFM) is expensive due to the cost of equipment and the time required to train users in a hands-on learning environment. Training large groups of users simultaneously presents a problem because usually only one AFM is available for use. To alleviate this problem, a virtual training simulator for AFM training has been developed. The training simulator is a Windows-based software program designed to allow users to simulate basic AFM operation on a PC. Instructors can use this tool to demonstrate the exact same instruction that a user would receive in an AFM lab within the confines of a classroom or computer lab. The graphical user interface (GUI) of the simulator replicates the interface of one of the most popular commercial AFM models to aid learning transfer from the simulator to the actual AFM. The goal of this paper is to provide a brief overview of the work that has been completed towards creating this virtual training simulator. The virtual AFM simulator modeling, design, and implementation are described.


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