• Journal of the Korean Ceramic Society
• /
• v.37 no.1
• /
• pp.82-89
• /
• 2000

In lithium silicate photosensitive glass-ceramics, the relationship between lithography time and crystallization, and the effect of addition of mineral acid in etching rate and pattern shape were investigated. Irradiation times for micropatterning were less than 5 minutes in which Ce3+ ions in glass were changed rapidly to Ce4+ with ultra violet light. Overexposure to ultra brought about blot of pattern by diffiraction of light. Addition of mineral acid to HF enhanced etching rate as compared with HF solution only. The addition of H2SO4 especially increased the etching rate by 70%. But the mixed solution also increased the etching rate of the noncrystallized portion of the glass and this resulted in heavy etching. Etching with ultrasonic wave showed higher etching rate than that with the static or fluid method.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.3
• /
• pp.99-108
• /
• 2021

There are unrestricted conditions on the driver's face inside the vehicle, such as changes in lighting, partial occlusion and various changes in the driver's condition. In this paper, we propose a face identification system in an unrestricted vehicle environment. The proposed method uses a near-infrared (NIR) camera to minimize the changes in facial images that occur according to the illumination changes inside and outside the vehicle. In order to process a face exposed to extreme light, the normal face image is changed to a simulated overexposed image using mean and variance for training. Thus, facial classifiers are simultaneously generated under both normal and extreme illumination conditions. Our method identifies a face by detecting facial landmarks and aggregating the confidence score of each landmark for the final decision. In particular, the performance improvement is the highest in the class where the driver wears glasses or sunglasses, owing to the robustness to partial occlusions by recognizing each landmark. We can recognize the driver by using the scores of remaining visible landmarks. We also propose a novel robust rejection and a new evaluation method, which considers the relations between registered and unregistered drivers. The experimental results on our dataset, PolyU and ORL datasets demonstrate the effectiveness of the proposed method.