• Journal of the Korean Society of Radiology
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• v.14 no.3
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• pp.313-318
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• 2020

Since radon is an inert gas and is a monoatomic molecule, the size of one particle represents the size of an atom, which means that it has a radius of approximately 1 to 100 nm. Therefore, if the mask has a radius smaller than the size of general fine dust and ultra fine dust, but it is possible to block the inhalation of radon more than a certain amount, it is considered that the exposure through the inhalation of radon can be reduced through normal indoor wear. Accordingly, we would like to find out the radon blocking effect of a mask worn in everyday life. Looking at the reduction rate of radon for each mask, cotton masks decreased by 33.45%, medical masks by 33.50%, KF 80 masks by 35.12%, and KF 94 masks by 37.72%. It was found that the radon blocking effect of the cotton and medical masks was somewhat inferior to that of the KF mask, but the difference was not so great that the introduction of radon into the air could be blocked to a certain level by wearing a mask.

• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.399-407
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• 2022

Wearing a mask is essential during the ongoing COVID-19 pandemic. For this study, an online survey was conducted on the actual use of masks among adults in their twenties and older. We used 389 questionnaires for the final analysis, excluding insincere or incomplete questionnaires. We then analyzed the responses using descriptive statistical analysis, frequency analysis, t-test, and ANOVA. More than half of the respondents indicated that they wore a mask for five to ten hours a day, with KF masks being the most frequently used. Participants who most frequently used cloth masks were more likely to consider color, design, and eco-friendliness, while those who used KF masks were more concerned with price and safety. There was no significant difference in purchase satisfaction between mask types, but the purchase intention was higher for KF masks. When purchasing a KF mask, there were significant differences across genders in terms of price and eco-friendliness preferences. There were also significant differences across age groups in price, eco-friendliness, skin irritation, and comfort preferences. Previous studies have shown a significant difference in gender and age in terms of preferred mask colors and designs. However, this survey found no significant difference across these categories. These findings indicate those mask manufacturers should consider safety and eco-friendliness over mask color and design.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.815-825
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• 2023

Purpose: This paper aims to explore approaches for obtaining KOLAS certification for masks developed as protective equipment for use during evacuation processes in the event of a radiation disaster involving residents within a radiation emergency planning zone. Method: Various reports, papers, and data from the KOLAS accreditation bodies' websites were examined for this study. Result: Although domestic radiation disaster preparedness measures have been established to enhance resident protection, the distribution of protective equipment is limited to thyroid protection drugs. Supplementary support items like masks are necessary to prepare for radiation disasters. Currently, there is no KOLAS-accredited certification body for radiation protection masks. Conclusion: For masks that have established performance certification criteria, a dual process is required for KOLAS certification. This involves obtaining an official test report as an industrial respirator mask, receiving certification, and then obtaining a general test report based on internal standards.

• Korean Journal of Radiology
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• v.21 no.6
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• pp.660-669
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• 2020

Objective: To evaluate the accuracy of a deep learning-based automated segmentation of the left ventricle (LV) myocardium using cardiac CT. Materials and Methods: To develop a fully automated algorithm, 100 subjects with coronary artery disease were randomly selected as a development set (50 training / 20 validation / 30 internal test). An experienced cardiac radiologist generated the manual segmentation of the development set. The trained model was evaluated using 1000 validation set generated by an experienced technician. Visual assessment was performed to compare the manual and automatic segmentations. In a quantitative analysis, sensitivity and specificity were calculated according to the number of pixels where two three-dimensional masks of the manual and deep learning segmentations overlapped. Similarity indices, such as the Dice similarity coefficient (DSC), were used to evaluate the margin of each segmented masks. Results: The sensitivity and specificity of automated segmentation for each segment (1-16 segments) were high (85.5-100.0%). The DSC was 88.3 ± 6.2%. Among randomly selected 100 cases, all manual segmentation and deep learning masks for visual analysis were classified as very accurate to mostly accurate and there were no inaccurate cases (manual vs. deep learning: very accurate, 31 vs. 53; accurate, 64 vs. 39; mostly accurate, 15 vs. 8). The number of very accurate cases for deep learning masks was greater than that for manually segmented masks. Conclusion: We present deep learning-based automatic segmentation of the LV myocardium and the results are comparable to manual segmentation data with high sensitivity, specificity, and high similarity scores.

• International Journal of Advanced Culture Technology
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• v.6 no.2
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• pp.123-128
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• 2018

Learning data is composed of 100 characters with 10 different fonts, and test data is composed of 10 characters with a new font that is not used for the learning data. In order to consider the variety of learning data with several different fonts, 10 learning masks are constructed by accumulating pixel values of same characters with 10 different fonts. This process eliminates minute difference of characters with different fonts. After finding maximum values of learning masks, test data is expanded by multiplying these maximum values to the test data. The algorithm calculates sum of differences of two corresponding pixel values of the expanded test data and the learning masks. The learning mask with the smallest value among these 10 calculated sums is selected as the result of the recognition process for the test data. The proposed algorithm can recognize various types of fonts, and the learning data can be modified easily by adding a new font. Also, the recognition process is easy to understand, and the algorithm makes satisfactory results for character recognition.

• Journal of the Korean Society for Precision Engineering
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• v.24 no.1 s.190
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• pp.71-78
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• 2007

Abrasive jet machining (AJM) has been traditionally used for removing rusts or paints. Nowadays, this is promising technology for micro bulk machining where brittle substrate materials are used. In order to get accurate details, masks such as metal, polymer or elastomer is inevitable. Among them, photo polymer which is sensitive to the light has been attractive for it's high accuracy using photolithography. In this research, SU-8 as a photo polymer is used since it is adequate for making thick mask. So, this paper describes how to make AJM masks using SU-8 with a photolithography process, and investigates the characteristics of SU-8 masks during AJM process. Also, an example of fabrication using AJM was shown.

• Journal of the Korean Society of Costume
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• v.59 no.7
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• pp.34-49
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• 2009

Carnival is an allowed chance to express ordinarily suppressed and overlooked emotions. Especially with strong meaning of daily overthrow masks, masquerades, and mask-costumes are essential for expressing methods and festival personality reasons. Carnival in modern society without losing a significant portion religion in a format suitable for the era of secularization and the transformation has been created of nothing, that is not a reflection of society is also a cultural phenomenon of its own internal social and external conditions through a variety of means can analogy cultural phenomenon is a stage. The purpose of this research comes from the carnival festivities, religious background, but the daily routine of life to know who joined his escape with the conduction of the role, going to enjoy the satire and humor, using the Dress to the eruption, which means that the form of the festival variety of analysis and with the victory of the expression of cultural phenomena and features on the festival and the dress for you should you wish to study.

• Laser Solutions
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• v.9 no.1
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• pp.17-23
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• 2006

The technologies of laser micromachining are changed toward more complex-micropatterning, from the micro circle-shaped hole drilling to the micro arbitrary-shaped hole drilling. In this paper, the fundamental experiments by using DPSS 3rd harmonic $Nd:YVO_4\;laser({\lambda}=355nm)$ were carried out in order to obtain the feasibility of flexible micropatterning by various fixed masks. Fixed masks and Galvano scanners were investigatde to make micro patterns. from these experimental results, micropatterns on PEN film were rapidly manufactured in large area.

• Transactions of the Society of Information Storage Systems
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• v.1 no.2
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• pp.143-149
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• 2005

In this paper we propose a novel volume hologram encryption system with binary amplitude masks rather than phase masks, in which volume holograms can be securely recorded against the attacks by a third party. In our system, the encryption is done by multiplexing two volume holograms in such a way that an original binary data page is first stored as a volume hologram by interference with a binary amplitude mask and then the complementary data page is stored as another volume hologram by interference with the complementary binary amplitude mask over the first hologram. The operation principle of our system is explained with the well-known theory of recording and reading a volume hologram in a photorefractive material and the experimental results are presented. Experimental data show that our encryption system is protected from blind decryptions by randomly-generated incorrect amplitude masks.

• Journal of Korea Multimedia Society
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• v.25 no.11
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• pp.1582-1590
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• 2022

Due to the situation of the widespread of the coronavirus, which causes the problem of lack of face image data occluded by masks at recent time, in order to solve the related problems, this paper proposes a method to generate face images with masks using a combination of generative adversarial networks and spatial transformation networks based on CNN model. The system we proposed in this paper is based on the GAN, combined with multi-scale convolution kernels to extract features at different details of the human face images, and used Wasserstein divergence as the measure of the distance between real samples and synthetic samples in order to optimize Generator performance. Experiments show that the proposed method can effectively put masks on face images with high efficiency and fast reaction time and the synthesized human face images are pretty natural and real.