Visual Parameter Space Analysis for Optimizing the Quality of Industrial Nonwovens

The quality of the technical textiles, in particular nonwovens, depends on the process parameters involved in producing them. It is not practical to investigate the effect of these parameters in real-time. Hence, a digital twin has been developed to analyze nonwoven production processes. The quality of the virtually produced nonwovens from the digital twin is then analyzed and mapped back to the process parameters. Different visualization techniques can be incorporated to guide engineers in finding optimal combinations of these process parameters for obtaining the desired product quality. This would eliminate the traditional trial and error strategies and reduce the domain expertise required in such an analysis. In this paper, we present a visual analytic tool that aids the engineer in analyzing and optimizing the quality of the nonwovens, thereby helping to make beneficial decisions in the industrial production process.

Visual Parameter Space Analysis for Optimizing the Quality of Industrial Nonwovens

The quality of the technical textiles, in particular nonwovens, depends on the process parameters involved in producing them. It is not practical to investigate the effect of these parameters in real-time. Hence, a digital twin has been developed to analyze nonwoven production processes. The quality of the virtually produced nonwovens from the digital twin is then analyzed and mapped back to the process parameters. Different visualization techniques can be incorporated to guide engineers in finding optimal combinations of these process parameters for obtaining the desired product quality. This would eliminate the traditional trial and error strategies and reduce the domain expertise required in such an analysis. In this paper, we present a visual analytic tool that aids the engineer in analyzing and optimizing the quality of the nonwovens, thereby helping to make beneficial decisions in the industrial production process.

Effects of cannabis on visual function and self-perceived visual quality

Cannabis is one of the most used drugs of abuse in the world. The objective of this study was to analyze the effects of smoking cannabis on vision and to relate these to those perceived by the user. Thirty-one cannabis users participated in this study. Visual function assessment was carried out in a baseline session as well as after smoking cannabis. We evaluated static visual acuity, contrast sensitivity, stereoacuity, accommodative response, straylight, night-vision disturbances (halos) and pupil size. The participants were also divided into two groups depending on whether they perceived their vision to have worsened after smoking cannabis. A logistic regression analysis was employed to identify which visual test could best predict self-perceived visual effects. The study found that smoking cannabis has significant adverse effects on all the visual parameters analyzed (p < 0.05). Self-perceived visual quality results revealed that about two thirds of the sample think that smoking cannabis impairs their vision. Contrast sensitivity, specifically for the spatial frequency 18 cpd, was identified as the only visual parameter significantly associated with self-perceived visual quality (Odds Ratio: 1.135; p = 0.040). Smoking cannabis is associated with negative effects on visual function. Self-perceived visual quality after smoking cannabis could be related to impaired contrast sensitivity.

Influence of Virtual Reality on Visual Parameters: Immersive Versus Non-Immersive Mode

Background: To investigate the differences in refraction, accommodative factors, visual parameters, and subjective symptoms after using two types of virtual reality (VR) content with different depths perception.Methods: Twenty-three volunteers, who played VR games in two modes (immersive and non-immersive) for 30 min, were enrolled. Visual parameters were examined before and after using VR. Accommodative factors were measured using static and dynamic methods. Subjective symptoms were assessed using a questionnaire. Differences according to VR content were compared, and correlations between each visual parameter were analyzed.Results: There were no changes in refraction or accommodative factors after use of the VR. However, there was a significant increase in the near point of accommodation (NPA), the near point of convergence (NPC), and subjective symptom scores after using the immersive mode. Correlation analysis revealed a positive correlation between baseline values of near exophoria and mean accommodative lag of the dominant eye, and also revealed a negative correlation between NPA and mean accommodative lag in the non-dominant eye. Conclusions: The use of VR for 30 min increased NPA and NPC, especially after the immersive mode was used. In addition, higher exophoria and smaller NPA is associated with increased accommodative lag after using VR.

Influence of Virtual Reality on Visual Parameters: Immersive Versus Non-Immersive Mode

Background : To investigate the differences in refraction, accommodative factors, visual parameters, and subjective symptoms after using two types of virtual reality (VR) content with different depths perception. Methods : Twenty-three volunteers, who played VR games in two modes (immersive and non-immersive) for 30 min, were enrolled. Visual parameters were examined before and after using VR. Accommodative factors were measured using static and dynamic methods. Subjective symptoms were assessed using a questionnaire. Differences according to VR content were compared, and correlations between each visual parameter were analyzed. Results : There were no changes in refraction or accommodative factors after use of the VR. However, there was a significant increase in the near point of accommodation (NPA), the near point of convergence (NPC), and subjective symptom scores after using the immersive mode. Correlation analysis revealed a positive correlation between baseline values of near exophoria and mean accommodative lag of the dominant eye, and also revealed a negative correlation between NPA and mean accommodative lag in the non-dominant eye. Conclusions : The use of VR for 30 min increased NPA and NPC, especially after the immersive mode was used. In addition, higher exophoria and smaller NPA is associated with increased accommodative lag after using VR.