• Title/Summary/Keyword: Wrinkle Measurement

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Quantitative Defects Detection in Wind Turbine Blade Using Optical Infrared Thermography (광 적외선열화상을 이용한 풍력 블레이드의 결함 크기 정량화 연구)

  • Kwon, Koo-Ahn;Choi, Man-Yong;Park, Hee-Sang;Park, Jeong-Hak;Huh, Yong-Hak;Choi, Won Jae
    • Journal of the Korean Society for Nondestructive Testing
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    • v.35 no.1
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    • pp.25-30
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    • 2015
  • A wind turbine blade is an important component in wind-power generation, and is generally exposed to harsh environmental conditions. Ultrasonic inspection is mainly used to inspect such blades, but it has been difficult to quantify defect sizes in complicated composite structures. Recently, active infrared thermography has been widely studied for inspecting composite structures, in which thermal energy is applied to an object, and an infrared camera detects the energy emitted from it. In this paper, a calibration method for active optical lock-in thermography is proposed to quantify the size. Inclusion, debonding and wrinkle defects, created in a wind blade for 100 kW wind power generation, were all successfully detected using this method. In particular, a ${\phi}50.0mm$ debonding defect was sized with 98.0% accuracy.

A Study on the Direction of Evaluation Indicators for Personalized Beauty Self-care

  • Lee, Yoo-jeong;Choi, Ji-woo;Shin, Sae-young
    • Journal of Fashion Business
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    • v.24 no.6
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    • pp.120-134
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    • 2020
  • Recently, the beauty industry has implemented personalized services based on skin big data. To increase competitiveness in the beauty industry, systematic data measurement and evaluation indicators are necessary to select data and obtain necessary knowledge. In response, this study sought to stably enhance the accuracy of skin diagnosis based on satisfaction and reliability. To this end, the research was conducted through focus group interviews (FGI), a case study of brands, and analysis of prior research results. In particular, as a result of analyzing keywords that classify skin types by brand, common survey items for skin types were oiliness and using moisturizer, cosmetic use and vascular of skin, external stimulus and blemish & freckles, facial wrinkle, outside activities, self-consciousness, and smoke. In additioin to the common questions of the preceding study and the brand survey items, the questions concerning complex skin types, seasonal change, facial color, wrinkles and elasticity were added, and the questions were presented in a total of 40 items. In particular, it suggested that skin measurement could be conducted by focusing on elasticity and pigmentation items by reflecting the results of prior research and the opinions of FGI, and based on this, a customized service with high satisfaction and high accuracy of beauty care based on this could be proposed. We hope that this study will facilitate active self-care by providing more satisfying skin stones and personalized cosmetics proposals, thus laying the foundation for the further development of the cosmetics industry.

Skin Improvement Effect of Mask Pack with Snail Fermented Extract (달팽이 발효 추출물을 이용한 마스크 팩의 피부개선효과)

  • Zhoh, Choon-Koo;Lee, Min-Hee;Kim, In-Young;Shin, Ji-Young
    • Journal of the Korean Applied Science and Technology
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    • v.33 no.1
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    • pp.30-40
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    • 2016
  • This study related to get skin improvement effect of sheet mask pack using 5% of $2^{nd}$ fermented snail extract. To the scientific study of the skin, it was used for this sheet mask of 100% cotton as cutting face shape. We reported the results of measurement of skin improvement effect with the placebo and Gene-SEM (general snail extract mask). First; moisturizing effect of 2F-SEM ($2^{nd}$ fermented snail extract mask) has been increased about 11% than the PM and Gene-SEM was improved about 4.7% more than the PM (placebo mask). Second; elasticity of the mask pack containing $2^{nd}$ fermented snail extract was 13.8% better than PM and Gene-SEM was improved about 6.7 % more than PM. Third; Skin roughness of 2F-SEM has improved 6.80% than PM and Gene-SEM was improved about 2.3% more than PM. Fourth; melanin reductive effect of 2F-SEM was improved about15.0% more than PM and Gene-SEM was improved about 8.7% more than PM. Fifth; fine wrinkle decline effect of 2F-SEM was about 8.0% better than PM and Gene-SEM was improved with 5.1% more than PM. Sixth; sensorial evaluation of 2F-SEM using $2^{nd}$ fermented snail extract was significantly showed difference merits regarding softness, moisture, fine-wrinkle improvement.

Development of Pre-assessment Indicator for Skin Aging and Anti-aging Effect of Inner Skin by the Cream Product Containing Gynostemma pentaphyllum Gypenoside Fraction (피부 노화의 선평가 지표 개발 및 그에 따른 칠엽담 지페노사이드 분획물 함유 크림의 피부 내부 노화 개선 효과)

  • Kim, Ju Yeon;Kim, Jung Yun;Choi, Chi Ho;Lim, Joo Hyuck;Choo, Min Joo;Moon, Sung Ho;Chang, Shin Jae
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.42 no.3
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    • pp.303-309
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    • 2016
  • The human skins had a lot of changes as aging. The synthesis of collagens and elastic fibers were reduced and the expression of matrix metalloproteinase (MMPs) was increased in the dermis. These changes have been known to be responsible for skin wrinkle formation. In this study, we tried to develop pre-indicator of inner skin aging, and investigated the effect of the cream product containing Gynostemma pentaphyllum gypenoside fraction (Gynostemma pentaphyllum gypenoside cream). 21 ~ 34 years old 52 Korean female volunteers without crow's feet were chosen for this clinical study. The starting point of inner skin aging was confirmed through dermal density measurement, even though outside skin wrinkles were not observed. In addition, 4 and 8 weeks treatment of G. pentaphyllum gypenoside cream significantly increased age-related reduction of dermal density. These results suggest that the evaluation of dermal density can be used as pre-indicator of skin aging. Furthermore, G. pentaphyllum gypenoside fraction is a potential anti-wrinkle agent for prevention and treatment of skin aging.

Anti Wrinkle Effect of Needle-Embedding Therapy: a Case Series (매선 요법 3회 시술 후 안면 피부 변화에 대한 개선 효과 : 10례 증례연구)

  • Kang, Kyung-Won;Park, Jung-Young;Kim, Joo-Hee;Choi, Sun-Mi;Jung, Kum-Young
    • The Journal of Korean Obstetrics and Gynecology
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    • v.31 no.1
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    • pp.147-154
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    • 2018
  • Objectives: This study aims to examine the improvement against facial wrinkles after needle-embedding therapy. Methods: The study participants were 10 women treated with needle-embedding therapy in the Korean Medical Clinic from September, 2011 to August, 2014. The subjects were treated every ten days for twenty days, totally three times, and the result of treatment was evaluated five times, such as pre-treatment, after each treatments, one month and two months later of the last treatment with ARAMO-SG. Results: 1. Depth and range of facial wrinkles, facial skin pore test, and sensitivity test were visibly improved after needle-embedding therapy and follow-up compared pre-treatment (p<0.05). 2. The significant improvements in facial skin texture test was not observed and sustained until the follow-up measurement at 2 months. 3. Any adverse reaction related to needle-embedding therapy did not happen. Conclusions: This study suggests that needle-embedding therapy can improve facial wrinkles. The positive results of this study support the requirement for additional research investigating the efficacy of needle-embedding therapy in women.

Clinical improvement of amino propane sulfonic acid and it's quantitative measurement with a new opticoprofilometry (Amino propane sulfonic acid의 임상적 개선효과 및 새로운 opticoprofilometry 방법에 의한 정량분석)

  • 선보경;이해광
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.21 no.1
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    • pp.1-18
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    • 1995
  • We had tested the effect of amino propane sulfonic acid(APSA) on the human skin with non-invasive technique. It was tested with four parameters that were hydration, elasticity, color and skin wrinkles. In vitro culture systems, APSA stimulated the proliferation of fibroblasts bolt it didn't stimulate that of keratinocyte. Also we obtained the similar effects in the raft culture method. So we concluded that APSA affected the dermal region than the epidermal region. In clinical tests, APSA changed the skin color, pbiomechanical properties(especially elasticity) and reduced skin wrinkles of the volunteers. And we could get the better results of skin wrinkle improvement by use of Skin Visiometer than Silflo Image analysis systems.

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Development of Navigation Data Storage System for Geometry Pigging System (가스 배관 진단 시스템을 위한 항법 데이터 저장 시스템 개발)

  • Jin, Yong;Park, Chan-Gook;Park, Tae-Woong;Rho, Y.W.
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2190-2192
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    • 2001
  • 가스 배관 진단 시스템은 배관 내부에 삽입되어 배관 내에 주입된 가스에 의해 추진되는 시스템으로 배관의 건설, 유지, 보수, 해체 등의 작업을 위한 여러 정보를 수집한다. 배관 진단을 위한 대표적인 센서로는 배관 내부의 찌그러짐(dent)과 주름(wrinkle)의 형태 및 크기를 측정하는 캘리퍼(caliper) 센서와 배관 외부의 파손을 측정하는 MFL(Magnetic Flus Leakage) 센서 그리고 배관 내의 환경 정보를 측정하기 위한 온도 센서와 압력 센서가 있다. 이러한 센서들로 수집된 정보를 활용하기 위해서는 정확한 위치 정보가 필요하므로 IMU(Inertial Measurement Unit)와 주행 거리계를 사용하는 결합 항법 시스템도 필요하다. 본 논문에서는 가스 배관 진단 시스템을 위한 항법 데이터 저장 시스템을 개발한다. 배관 진단 시스템의 특성상 일반적인 측정 센서는 700Hz 이상의 주기로 측정되고 항법 정보는 100Hz 주기 이상으로 측정되며 배관 내 이동 시간은 2시간에서 24시간 이상으로 다양하므로 많은 데이터를 효율적으로 저장할 수 있어야 한다. 따라서 데이터 저장 장치로는 DAT를 사용하게 되며 많은 센서 데이터를 실시간으로 저장하기 위해서 마스터-슬레이브 구조를 갖는 멀티 프로세서 구성을 이용한 항법 데이터 저장 시스템을 설계 제작하였다.

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A Study on Disaster Influencing Factors and Importance for Safety Management in NATM Tunnel Drilling (NATM 터널 굴진 시 안전관리를 위한 재해영향요인 및 중요도에 관한 연구)

  • Lee, YoungSoo;Yoon, Younggeun;Oh, Taekeun
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.757-763
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    • 2022
  • In the NATM tunnel construction method for urban subway and underpass construction, various causes of disaster exist. In this study, in order to analyze the importance of disaster influencing factors during NATM tunnel excavation, the possible risk factors were analyzed through prior research such as drilling, charging and blasting, It was divided into the work items of wrinkle treatment, pumice cleanup, and support materials. Next, the final 21 detailed measurement indicators were selected through the FGI survey of related experts, and AHP (Analytic Hierarchy Process) analysis were conducted. As a result, it was found that the workers involved in the tunnel construction were the most influential disaster influencing factor.

A Comparative Study on the Effective Deep Learning for Fingerprint Recognition with Scar and Wrinkle (상처와 주름이 있는 지문 판별에 효율적인 심층 학습 비교연구)

  • Kim, JunSeob;Rim, BeanBonyka;Sung, Nak-Jun;Hong, Min
    • Journal of Internet Computing and Services
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    • v.21 no.4
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    • pp.17-23
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    • 2020
  • Biometric information indicating measurement items related to human characteristics has attracted great attention as security technology with high reliability since there is no fear of theft or loss. Among these biometric information, fingerprints are mainly used in fields such as identity verification and identification. If there is a problem such as a wound, wrinkle, or moisture that is difficult to authenticate to the fingerprint image when identifying the identity, the fingerprint expert can identify the problem with the fingerprint directly through the preprocessing step, and apply the image processing algorithm appropriate to the problem. Solve the problem. In this case, by implementing artificial intelligence software that distinguishes fingerprint images with cuts and wrinkles on the fingerprint, it is easy to check whether there are cuts or wrinkles, and by selecting an appropriate algorithm, the fingerprint image can be easily improved. In this study, we developed a total of 17,080 fingerprint databases by acquiring all finger prints of 1,010 students from the Royal University of Cambodia, 600 Sokoto open data sets, and 98 Korean students. In order to determine if there are any injuries or wrinkles in the built database, criteria were established, and the data were validated by experts. The training and test datasets consisted of Cambodian data and Sokoto data, and the ratio was set to 8: 2. The data of 98 Korean students were set up as a validation data set. Using the constructed data set, five CNN-based architectures such as Classic CNN, AlexNet, VGG-16, Resnet50, and Yolo v3 were implemented. A study was conducted to find the model that performed best on the readings. Among the five architectures, ResNet50 showed the best performance with 81.51%.

Direct Analysis in Real Time Mass Spectrometry (DART-MS) Analysis of Skin Metabolome Changes in the Ultraviolet B-Induced Mice

  • Park, Hye Min;Kim, Hye Jin;Jang, Young Pyo;Kim, Sun Yeou
    • Biomolecules & Therapeutics
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    • v.21 no.6
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    • pp.470-475
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    • 2013
  • Ultraviolet (UV) radiation is a major environmental factor that leads to acute and chronic reactions in the human skin. UV exposure induces wrinkle formation, DNA damage, and generation of reactive oxygen species (ROS). Most mechanistic studies of skin physiology and pharmacology related with UV-irradiated skin have focused on proteins and their related gene expression or single-targeted small molecules. The present study identified and analyzed the alteration of skin metabolites following UVB irradiation and topical retinyl palmitate (RP, 5%) treatment in hairless mice using direct analysis in real time (DART) time-of-flight mass spectrometry (TOF-MS) with multivariate analysis. Under the negative ion mode, the DART ion source successfully ionized various fatty acids including palmitoleic and linolenic acid. From DART-TOF-MS fingerprints measured in positive mode, the prominent dehydrated ion peak (m/z: 369, M+H-$H_2O$) of cholesterol was characterized in all three groups. In positive mode, the discrimination among three groups was much clearer than that in negative mode by using multivariate analysis of orthogonal partial-least squares-discriminant analysis (OPLS-DA). DART-TOF-MS can ionize various small organic molecules in living tissues and is an efficient alternative analytical tool for acquiring full chemical fingerprints from living tissues without requiring sample preparation. DART-MS measurement of skin tissue with multivariate analysis proved to be a powerful method to discriminate between experimental groups and to find biomarkers for various experiment models in skin dermatological research.