• 한국의류학회지
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• 제45권5호
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• pp.825-839
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• 2021

This study aims to develop jacquard fashion masks using traditional patterns and investigates the preference and emotions of consumers for them. Nine patterns were designed with the motifs of plum flower, turtle, and geometric patterns using an Adobe Illustrator program. After that, 20 kinds of jacquard fabrics were developed using those patterns, and prototype masks were made. Furthermore, data were collected using a survey of 231 adult consumers to understand the emotional images evoked by jacquard fashion masks with traditional patterns. The results of the research show that the emotional dimension derived from jacquard fashion masks with traditional patterns consists of seven factors: luxurious image, frugal image, feminine image, oriental image, sporty image, geometrical image, generous image. We found that consumers preferred the M6 with the plum flower pattern as the motif as the most preferred design, while M13 with the geometric pattern as the motif was the lowest preferred.

• 한국의류산업학회지
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• 제24권1호
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• pp.1-14
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• 2022

K-pop stars are an important influence in the era of digital culture based on emotions. The purpose of this study is to visually express the identity and worldview of their music in the virtual and real world, and to promote Korea's current and past culture. The study also intends to appeal to the emotions of the global fans by designing original textile in their music video 'IDOL' on Tiny TAN - a symbol of world pop star BTS. For design development, traditional Korean images shown in the 'IDOL' video were collected, patterns for each member were selected, and a motif was designed on Adobe Illustrator. We selected the dragon as the motif for V, cloud for Suga, chrysanthemums for Jin, mask for Jung Kook, hanok pavilion for RM, fan for Jimin, and Sam Taegeuk for J-Hope. The selected motifs were designed as per the four textile design arrangement methods: square pattern, 1/2 half drop pattern, turn-around pattern, and panel pattern. The design was presented by mapping Kwaeja to Tiny TAN character. The developed textile design can be used not only for character costumes in virtual space, but also for various products such as clothes, accessories, bedding, cosmetics, stationery, and food. By using it to produce goods inspired by K-pop stars, it can be used as basic data for the development of high value-added competitive products in the global market and create synergy effects of K-Design, which would lead a new trend in the design world.

• 대한소아치과학회지
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• 제29권2호
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• pp.168-179
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• 2002

어린이의 치과 치료시 행동조절에 도움이 되고자 치료를 위해 내원한 어린이 환자 150명을 대상으로 치과의사의 의상에 대해 설문조사를 시행한 결과 다음과 같은 결론을 얻었다. 1. 가운과 일상복에 대한 선호도 조사에서는 성별(P<0.05), 연령(P<0.05), 거주지(P<0.05), 내원 횟수(P<0.05)에서 가운에 대한 선호도(65.3%)가 높았다. 2. 가운의 종류와 가운의 속의 복장에 대한 선호도는 긴 가운에 와이셔츠(30.7%), 양복형 가운에 와이셔츠(18.7%), 긴 가운에 폴로셔츠(17.3%) 순으로 나타났다. 3. 가운의 색에 대한 선호도는 흰색(34.7%), 분홍색(18.7%), 초록색(18.0%), 파랑색(15.3%), 노랑색(13.3%) 순으로 나타났다. 4. 가운의 무늬에 대한 선호도는 만화 캐릭터(49.3%), 병원로고(28.7%), 민무늬(14.7%) 순으로 나타났다. 5. 여자 치과의사의 일상복에 대한 선호도는 폴로셔츠(37.3%), 줄무늬셔츠(28.7%), 라운드티셔츠(18.7%), 개량한복(15.3%) 순으로 나타났다. 6. 남자 치과의사의 일상복에 대한 선호도순서는 무늬넥타이에 민무늬 와이셔츠(28.0%), 민무늬 넥타이에 와이셔츠와 넥타이 없이 무늬셔츠(21.3%), 넥타이 없이 민무늬 와이셔츠(14.7%)순으로 나타나났다. 7. 보호장비 착용에 대한 선호도 조사는 마스크와 글러브(28.7%), 장비 없음(26.7%), 마스크와 글러브와 보안경(22.7%), 마스크만 착용(22.0%) 순으로 나타났다. 본 연구의 결과에 비추어 볼 때, 어린이 환자의 치과 치료시, 심리적 안정감을 주기 위해서는 흰색의 획일적인 가운에서 벗어나 다양한 색채와 형태로 디자인된 치과의사의 복장이 어린이에게 친근감을 주어 행동조절에 도움이 될 것으로 사료된다.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.364-373
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• 2022

Image morphing methods make seamless transition changes in the image and mask the meaningful information attached to it. This can be detected by traditional machine learning algorithms and new emerging deep learning algorithms. In this research work, scope of different Hybrid learning approaches having combination of Deep learning and Machine learning are being analyzed with the public dataset CASIA V1.0, CASIA V2.0 and DVMM to find the most efficient algorithm. The simulated results with CNN (Convolution Neural Network), Hybrid approach of CNN along with SVM (Support Vector Machine) and Hybrid approach of CNN along with Random Forest algorithm produced 96.92 %, 95.98 and 99.18 % accuracy respectively with the CASIA V2.0 dataset having 9555 images. The accuracy pattern of applied algorithms changes with CASIA V1.0 data and DVMM data having 1721 and 1845 set of images presenting minimal accuracy with Hybrid approach of CNN and Random Forest algorithm. It is confirmed that the choice of best algorithm to find image forgery depends on input data type. This paper presents the combination of best suited algorithm to detect image morphing with different input datasets.

• 대한기계학회논문집A
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• 제30권2호
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• pp.194-201
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• 2006

Gait analysis is essential to identify accurate cause and knee condition from patients who display abnormal walking. Traditional linear tools can, however, mask the true structure of motor variability, since biomechanical data from a few strides during the gait have limitation to understanding the system. Therefore, it is necessary to propose a more precise dynamic method. The chaos analysis, a nonlinear technique, focuses on understand how variations in the gait pattern change over time. Eight healthy eight subjects walked on a treadmill for 100 seconds at 60 Hz. Three dimensional walking kinematic data were obtained using two cameras and KWON3D motion analyzer. The largest Lyapunov exponent from the measured knee angular displacement time series was calculated to quantify local stability. This study quantified the variability present in time series generated from gait parameter via chaos analysis. Knee flexion-extension patterns were found to be chaotic. The proposed Lyapunov exponent can be used in rehabilitation and diagnosis of recoverable patients.

• 한국레이저가공학회:학술대회논문집
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• 한국레이저가공학회 2005년도 추계학술발표대회 논문집
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• pp.37-41
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• 2005

When screen size of the Flat Panel Display (FPD) becomes larger, the traditional photo-lithography using photomasks and UV lamps might not be possible to make patterns on Photo Resist (PR) material due to limitation of the mask size. Though the maskless photo-lithography using UV lasers and scanners had been developed to implement large screen display, it was very slow to apply the process for mass-production systems. The laser exposure system using 405 nm semi-conductor lasers and Digital Micromirror Devices (DMD) has been developed to overcome above-mentioned problems and make more than 100 inches FPD devices. It makes very fine patterns for full HD display and exposes them very fast. The optical engines which contain DMD, Micro Lens Array (MLA) and projection lenses are designed for 10 to 50 ${\mu}m$ bitmap pattern resolutions. The test patterns for LCD and PDP displays are exposed on PR and Dry Film Resists (DFR) which are coated or laminated on some specific substrates and developed. The fabricated edges of the sample patterns are well-defined and the results are satisfied with tight manufacturing requirements.