• 융합정보논문지
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• 제8권2호
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• pp.227-232
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• 2018

본 연구는 서울, 경기지역의 중소기업에 종사하고 있는 직장인 167명을 대상으로 임의표집하여, 얼굴이미지효능감과 직무만족간의 관계가 어떠한지를 조사하고, 중소기업 직장인의 얼굴이미지효능감이 직무만족에 어떠한 영향을 미치는지를 알아보는 데 그 목적을 두었다. 연구결과는 다음과 같다. 첫째, 얼굴이미지효능감의 하위영역인 관리능력과 직무만족간의 관계는 정적인상관관계가 나타났다. 이는 관리능력이 높아질수록 직무만족정도가 높아지는 것을 의미한다. 얼굴이미지효능감의 하위영역인 인식태도와 직무만족간의 관계는 정적인상관관계가 나타났다. 둘째, 중소기업 직장인의 얼굴이미지효능감의 하위영역인 관리능력은 직무만족에 정적인 영향을 미치는 것으로 나타났으며, 얼굴이미지효능감의 하위영역인 인식태도는 직무만족에 영향을 미치지 않은 것으로 나타났고, 얼굴이미지효능감의 하위영역인 표현자신감은 직무만족에 정적인 영향을 미치는 것으로 나타났다.

• 한국의상디자인학회지
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• 제17권4호
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• pp.131-144
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• 2015

The object of this study was to find out the influence of female consumers' cosmetics purchase experience on image-making efficacy and cosmetics pursuit benefits. Total 405 surveys of women working at the industrial complex in Daegu-Kyoungbuk area were used for data analysis. Frequency, factor analysis, reliability analysis, regression analysis, and ${\chi}^2$-test were used for data analysis. Our findings are as follows. Cosmetics purchase experience of female consumers had factors as recognition experience, relationship experience, emotional experience, visit experience, and sensual experience. The factors of image-making efficacy were self-confidence in displaying, ability of facial expression and display ability while those of cosmetics purchase experience turned out to be trend/brand pursuit, appearance improvement pursuit, functionality pursuit and economic feasibility pursuit. Cosmetics purchase experience was found to have significant effects on the factors of image-making efficacy, and cosmetics purchase experience on factors of cosmetics pursuit benefits. The differences by ages variable was examined with relation to the level of make-up and how they chose products when buying.

• 대한의용생체공학회:의공학회지
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• 제45권2호
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• pp.95-100
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• 2024

Vitiligo is a condition characterized by the destruction or dysfunction of melanin-producing cells in the skin, resulting in a loss of skin pigmentation. Facial vitiligo, specifically affecting the face, significantly impacts patients' appearance, thereby diminishing their quality of life. Evaluating the efficacy of facial vitiligo treatment typically relies on subjective assessments, such as the Facial Vitiligo Area Scoring Index (F-VASI), which can be time-consuming and subjective due to its reliance on clinical observations like lesion shape and distribution. Various machine learning and deep learning methods have been proposed for segmenting vitiligo areas in facial images, showing promising results. However, these methods often struggle to accurately segment vitiligo lesions irregularly distributed across the face. Therefore, our study introduces a framework aimed at improving the segmentation of vitiligo lesions on the face and providing an evaluation of vitiligo lesions. Our framework for facial vitiligo segmentation and lesion evaluation consists of three main steps. Firstly, we perform face detection to minimize background areas and identify the face area of interest using high-quality ultraviolet photographs. Secondly, we extract facial area masks and vitiligo lesion masks using a semantic segmentation network-based approach with the generated dataset. Thirdly, we automatically calculate the vitiligo area relative to the facial area. We evaluated the performance of facial and vitiligo lesion segmentation using an independent test dataset that was not included in the training and validation, showing excellent results. The framework proposed in this study can serve as a useful tool for evaluating the diagnosis and treatment efficacy of vitiligo.

• 대한화장품학회지
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• 제28권3호
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• pp.91-108
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• 2002

미백제는 기미와 태양광선노출에 의한 색소침착반과 같은 색소불균형이 주로 나타나는 동양 여성들에 특히 관심이 많다. 이러한 색소침착의 불균형은 UV에 의해 더 심해지기 때문에 미백제는 멜라닌합성을 억제시키거나 UV에 의해 활성화된 signal을 억제함으로써 효과가 나타난다. Eumelanin은 UV에 의해 유도된 DNA 손상을 보호하므로 UV에 의해 유도된 DNA손상을 감소시키는 물질이 이상적인 미백제가 된다. 새롭게 합성된 항산화제인 $\alpha$-tocophenyl ferulate의 효과는 UV에 의해 손상된 DNA damage에 의한 보호 효과와 멜라닌 합성을 억제시킴으로서 나타난다. Chemical peeling과 복합적으로 색소 반점을 치료하는 lightning agent의 효과에 대한 결과를 보고하였으며 색소 반점의 개선을 정량적으로 평가하는 새롭게 개발된 facial image analyzer를 소개할 것이다.

• Journal of Acupuncture Research
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• 제33권3호
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• pp.117-127
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• 2016

Objectives : This study was performed to observe the effect of complex therapy, including electro-acupuncture and magnetic-acupuncture, on peripheral facial nerve palsy. Methods : Nine patients with peripheral facial nerve palsy were treated with acupuncture using electrical and magnetic stimulation. Acupoints in the face were stimulated with an electromagnetic field, as widely and as evenly as possible. To evaluate the effects before and after treatment we used Yanagihara's unweighted grading system, House-Brackmann scale, and Sunnybrook facial grading system and image once a week. Results : After treatment, the scores of Yanagihara's unweighted grading system, House-Brackmann scale and Sunnybrook facial grading system each improved (p-value < 0.05). Conclusion : Complex therapy using electro-acupuncture and magnetic-acupuncture might be an effective treatment to improve symptoms of peripheral facial nerve palsy. Further randomized-controlled trials are required to verify the efficacy and results of this study.

• Korean Journal of Acupuncture
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• 제30권2호
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• pp.114-121
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• 2013

Objectives : The purpose of this study is to evaluate the efficacy of acupuncture treatment on the inflammatory lesions and body image disturbances in patients with vulgaris acnes. Methods : Fifteen inflammatory acne patients were enrolled and treated with facial acupuncture during 4 treatment sessions. We evaluated the number of papules and nodules using the Korean Acne Grading System (KAGS). We also evaluated patients' general subjective satisfaction and objective changes of inflammatory acnes symptoms using DermaVision-pro. Moreover, we observed the skin quality-of-life scale with skindex-29 and body image disturbance questionnaire (BIDQ) as secondary outcome. Adverse events were recorded as well at every visit. Results : After 4 treatment sessions, there were significant reductions in the number of papules and nodules of the patients. We found that subjective satisfactions of patients were enhanced as well as the objective inflammatory symptoms. We also found significant improvements in the quality of life and BIDQ. No serious treatment-related adverse events were reported. Conclusions : This study demonstrated that standardized facial acupuncture were effective and safe in the treatment of facial inflammatory acnes.

• 방송공학회논문지
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• 제11권1호
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• pp.15-27
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• 2006

본 논문에서는 일련의 디지털 사진들을 특정한 인물에 기반하여 브라우징 하는 것을 돕기 위한 인물 기반 사진 색인 방법을 제안한다. 기존의 인물 기반 영상 색인의 경우, 얼굴 특징값만을 인물 특정값으로 이용하였다. 이에 반하여, 제안하는 방법의 주 된 목적은 얼굴의 주변 정보인 상황 및 옷 정보를 얼굴 정보와 함께 조합하여 색인 과정에 활용함으로써 인물 기반 사진 색인 의 성능을 높이는 것이다 얼굴 특정값과 옷 특징값을 효과적으로 조합하기 위해, 인물을 상황 별로 클러스터링하는 방법이 함께 제안된다 본 논문에서 제안하는 방법의 효용성을 검증하기 위해 1120 장의 사진 데이터베이스를 활용하여 실험을 수행하였다. 실험 결과에서, 기존의 방법에서처럼 얼굴 특정값만을 이용하여 색인을 수행한 경우 약 70%의 평균 성능을 보였으며, 제안 된 방법을 이용하여 색인을 수행한 경우 약 92%의 평균 성능을 보여 제안된 방법이 인물 별 사진 색인에 효과적임을 확인할 수 있었다.

• 대한한방내과학회지
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• 제25권4호
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• pp.140-146
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• 2004

Objectives : this study is to see if there is a significance in thermal differences of acupoints in diagnosis and treatment period of facial paralysis and to substantiate the validity of acupuncture and moxibustion treatment for it. Methods : 1. By using DITI, thermal differences of acupoints on the face and the upper limbs of 13 Bell's palsy patients were measured around 3 days after an attack of the disease. These 13 patients, whose treatment progress was monitored up to 6 months after attack, were among the inpatients and outpatients of oriental internal medicine of National Medical Center from July 1 to August 31. 2. The patients were divided into 1month, 2-3months, 4months, 6months groups according to the occasion of improvement and thermal averages of each treatment period measured. Results : When it takes within 1 month for the condition of facial paralysis to change for the better, DITI image shows the temperature of the affected face parts and arms is higher than that of the non-affected parts. However, when it takes more than 4 months, the temperature of the affected face parts and arms on DITI image is lower than that of the non-affected parts. Conclusions : Hereby, prognosis of the disease and necessary time for the treatment can be presumed through DITI screening after an occurrence of facial paralysis. Also, condition of the disease is reflected by thermal differences of acupoints for Bell's palsy treatment that are in accordance with the theory of meridian on the face. This supports the efficacy of acupuncture and moxibustion treatment for this disease.

• 한국인터넷방송통신학회논문지
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• 제20권5호
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• pp.9-13
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• 2020

사상의학은 개인별 맞춤의학에 최적화된 한국 고유의 전통의학으로 유효한 임상 효능에도 불구하고 체질진단의 부정확도는 한계로 지적받아 왔다. 체질 진단의 정확도를 개선하기 위해 정량 데이터에 기반한 체질 분석 알고리즘이 개발되었으며, 본 연구에서는 개발된 알고리즘을 적용한 체질 분석 체험 시스템을 개발하고 반복성을 평가하였다. 체질분석 체험 시스템은 정면과 측면 안면 영상, 음성, 설문 정보를 수집하고 통합 체질 확률 값을 계산하여 체험자의 체질을 분석한다. 개발한 시스템의 체질 확률 값에 대한 반복도 평가를 위해 3명을 대상으로 각 5회 반복 측정하였으며, 변동계수가 4.778%로 나와 충분한 반복도를 보이는 것을 확인하였다. 개발한 시스템은 사상의학의 인식 제고를 위한 홍보에 기여할 수 있을 것이다.

• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.179-186
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• 2023

For the future prosperity of any society, the sound growth of children is essential. Autism Spectrum Disorder (ASD) is a neurobehavioral disorder which has an impact on social interaction of autistic child and has an undesirable effect on his learning, speaking, and responding skills. These children have over or under sensitivity issues of touching, smelling, and hearing. Its symptoms usually appear in the child of 4- to 11-year-old but parents did not pay attention to it and could not detect it at early stages. The process to diagnose in recent time is clinical sessions that are very time consuming and expensive. To complement the conventional method, machine learning techniques are being used. In this way, it improves the required time and precision for diagnosis. We have applied TFLite model on image based dataset to predict the autism based on facial features of child. Afterwards, various machine learning techniques were trained that includes Logistic Regression, KNN, Gaussian Naïve Bayes, Random Forest and Multi-Layer Perceptron using Autism Spectrum Quotient (AQ) dataset to improve the accuracy of the ASD detection. On image based dataset, TFLite model shows 80% accuracy and based on AQ dataset, we have achieved 100% accuracy from Logistic Regression and MLP models.