The Destiny-class CyberCANOE – a surround screen, stereoscopic, cyber-enabled collaboration analysis navigation and observation environment

2017 ◽  
Vol 2017 (3) ◽  
pp. 25-30 ◽  
Author(s):  
Noel Kawano ◽  
Ryan Theriot ◽  
Jack Lam ◽  
Eric Wu ◽  
Andrew Guagliardo ◽  
...  
2017 ◽  
Vol 239 ◽  
pp. 1134-1143 ◽  
Author(s):  
Matthew J. England ◽  
Alan W. Bigelow ◽  
Michael J. Merchant ◽  
Eirini Velliou ◽  
David Welch ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258168
Author(s):  
Jijun Wang ◽  
Xiao Zhou ◽  
Songlin Yu ◽  
Bingzhen Li ◽  
Yan Li

Ground radar interferometry technology, as a new tool for active remote sensing, has been widely used in the detection of a variety of targets, including landslides, bridges, mines, and dams. This technique usually employs a continuous observation mode with no space baseline. The detection accuracy is mainly affected by meteorological disturbances and noise in the observation environment. In a complex observation environment, meteorological disturbances can lead to phase errors of 10 mm or more, and the effects are different in the range and azimuth directions; this can seriously affect the accuracy of the measurement. In this paper, we analyze the spatial distribution of the phase of meteorological disturbances based on radar monitoring experiments in a complex environment, and propose a correction method that reduces the atmospheric disturbance phase to less than 0.6 mm and effectively improves radar observation accuracy.


2014 ◽  
Vol 15 (1) ◽  
pp. 32-35
Author(s):  
Jurijs Lavendels ◽  
Mikola Krischuk ◽  
Vjaceslavs Sitikovs ◽  
Zigmunds Bulins

Abstract Technological tools for the mastering of insurance software product remotely by end-users are described. To ensure distance training, two independent channels have been simultaneously used: one for video-audio conference providing trainer-trainee(s) communication and second one for collaboration between a trainer and trainee(s) showing software execution and control over trainee’s working with the software. The proposed solution has been approbated in several focus groups that give an evidence of its practical viability and applicability


2018 ◽  
Author(s):  
Yoshihito Masuoka ◽  
Hiroyuki Morikawa ◽  
Takashi Kawai ◽  
Toshio Nakagohri

BACKGROUND Virtual reality (VR) technology has started to gain attention as a form of surgical support in medical settings. Likewise, the widespread use of smartphones has resulted in the development of various medical applications; for example, Google Cardboard, which can be used to build simple head-mounted displays (HMDs). However, because of the absence of observed and reported outcomes of the use of three-dimensional (3D) organ models in relevant environments, we have yet to determine the effects of or issues with the use of such VR technology. OBJECTIVE The aim of this paper was to study the issues that arise while observing a 3D model of an organ that is created based on an actual surgical case through the use of a smartphone-based simple HMD. Upon completion, we evaluated and gathered feedback on the performance and usability of the simple observation environment we had created. METHODS We downloaded our data to a smartphone (Galaxy S6; Samsung, Seoul, Korea) and created a simple HMD system using Google Cardboard (Google). A total of 17 medical students performed 2 experiments: an observation conducted by a single observer and another one carried out by multiple observers using a simple HMD. Afterward, they assessed the results by responding to a questionnaire survey. RESULTS We received a largely favorable response in the evaluation of the dissection model, but also a low score because of visually induced motion sickness and eye fatigue. In an introspective report on simultaneous observations made by multiple observers, positive opinions indicated clear image quality and shared understanding, but displeasure caused by visually induced motion sickness, eye fatigue, and hardware problems was also expressed. CONCLUSIONS We established a simple system that enables multiple persons to observe a 3D model. Although the observation conducted by multiple observers was successful, problems likely arose because of poor smartphone performance. Therefore, smartphone performance improvement may be a key factor in establishing a low-cost and user-friendly 3D observation environment.


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