scholarly journals Development of a 3D real-time visualization system for ship handling simulators using an open source 3D graphics engine

2011 ◽  
Vol 35 (3) ◽  
pp. 187-195 ◽  
Author(s):  
Tae-Hyun Fang ◽  
Jae-Yong Oh ◽  
Ho-Jin Hwang ◽  
Byung-Chul Kim ◽  
Du-Hwan Mun
2020 ◽  
Vol 15 (2) ◽  
pp. 203-211
Author(s):  
Hiroyuki K. M. Tanaka ◽  

Technological developments in muography have evolved since the first volcano was imaged with muography in 2007. In order to improve the muography technique as a more useful aid to volcano studies, there is a need for the time required to show the resultant images to be shortened. To expedite this process, an automatic real-time visualization system was developed and tested. In conjunction with future scaled-up detectors that will collect muons faster, this visualization system can also offer more practical and efficient tools for volcano muography.


2005 ◽  
Vol 2005.1 (0) ◽  
pp. 57-58
Author(s):  
Hiroshi Oiwa ◽  
Yoshinobu Asano ◽  
Hiroyuki Matsumoto ◽  
Teruo Matsuzawa

2017 ◽  
Vol 34 (3) ◽  
pp. 274-288 ◽  
Author(s):  
Raja Jamilah Raja Yusof ◽  
Atika Qazi ◽  
Irum Inayat

Purpose The purpose of this paper is to monitor in-class activities and the performance of the students. Design/methodology/approach A pilot study was conducted to evaluate the proposed system using a questionnaire with 132 participants (teachers and non-teachers) in a presentation style to record the participant’s perception about performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), usability expectancy (UE) and user’s satisfaction (S) based on unified theory of acceptance use of technology (UTAUT) model. Findings The results show that PE, EE, FC had positive and significant influence on the UE of the proposed system. The effect of EE and FC on UE was seen to be more in female compared to male participants. The teacher category considered the PE and EE as important factors in determining their decision to use the proposed system. Originality/value A real-time student(s) visualization system based on the concept of real-time student locating system using radio frequency identification technology is proposed. Concepts can be categorized within the Internet of Things in the education domain.


Author(s):  
S. Russo ◽  
S. Sarasso ◽  
G.E. Puglisi ◽  
D. Dal Palù ◽  
A. Pigorini ◽  
...  

AbstractBackgroundCoupling transcranial magnetic stimulation with electroencephalography (TMS-EEG) allows recording the EEG response to a direct, non-invasive cortical perturbation. However, obtaining a genuine TMS-evoked EEG potential requires controlling for several confounds, among which a main source is represented by the auditory evoked potentials (AEPs) associated to the TMS discharge noise (TMS click). This contaminating factor can be in principle prevented by playing a masking noise through earphones.New methodHere we release TMS Adaptable Auditory Control (TAAC), a highly flexible, open-source, Matlab®-based interface that generates in real-time customized masking noises. TAAC creates noises starting from the stimulator-specific TMS click and tailors them to fit the individual, subject-specific click perception by mixing and manipulating the standard noises in both time and frequency domains.ResultsWe showed that TAAC allows us to provide standard as well as customized noises able to effectively and safely mask the TMS click.Comparison with existing methodsHere, we showcased two customized noises by comparing them to two standard noises previously used in the TMS literature (i.e., a white noise and a noise generated from the stimulator-specific TMS click only). For each, we quantified the Sound Pressure Level (SPL; measured by a Head and Torso Simulator - HATS) required to mask the TMS click in a population of 20 healthy subjects. Both customized noises were effective at safe (according to OSHA and NIOSH safety guidelines), lower SPLs with respect to standard noises.ConclusionsAt odds with previous methods, TAAC allows creating effective and safe masking noises specifically tailored on each TMS device and subject. The combination of TAAC with tools for the real-time visualization of TEPs can help control the influence of auditory confounds also in non-compliant patients. Finally, TAAC is a highly flexible and open-source tool, so it can be further extended to meet different experimental requirements.


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