아름다움을 추구하는 것은 인류가 탄생한 이래로 계속되어왔다. 특

아름다움을 추구하는 것은 인류가 탄생한 이래로 계속되어왔다. 특히나 여성들에게 있어 ‘미(美)’란 외적인 아름다움 그 자체 이상이며 남성에게 있어서의 능력 혹은 권력과도 같은 것이다. 따라서, 여성들은 자신의 아름다움을 가꾸기 위해 다양한 노력을 기울이고 있으며, 최근에는 화학 및 생명공학 기술의 발달로 다양한 화장품들이 출시되고 있으며, 정보통신 기술을 활용한 미용 기기들도 출시되고있다. 하지만, 이러한 기기들은 고가의 센서를 장착하고 있어 일반적으로 피부관리를 전문으로 하는 업체나 피부과 병원 등에서 사용되고 있으며 가정용으로 사용되는 제품역시 고가의 제품이 대부분이다.
이에 고가의 센서를 사용하지 않고 피부의 이미지를 활용하여 피부의 상태를 예측할 수 있는 방법을 제안하고자 한다. 실험에서는 피부의 이미지를 근접 촬영하여 딥러닝 기법(Deep learning)의 하나인 희소 코딩(Sparse coding)을 활용하여 피부 수분상태의 특징을 추출(extraction)해내고, 추출해낸 특징을 이용하여 Support Vector Machine(SVM, 지지 벡터 머신) 기법으로 수분의 정도를 분류 예측하였다.
추후 이러한 방식을 통하여 수분 뿐만 아니라 유분, 피지, 주름 등 다양한 피부의 상태를 예측하는데 활용할 수 있을 것이다. 나아가 피부과 관련 질병의 원격진료에도 도움을 줄 수 있을 것이라 기대한다.

결과 (영어) 1:

It is in pursuit of the beauty of humanity have been born since. Especially when I got to women ' beauty ' is the exterior beauty itself is more than capable of or in power like to men. Therefore, women have their own beauty extravaganza, a variety of efforts in recent years, with the development of technology in a variety of cosmetic chemistry and biotechnology are being released, and information and communication technologies also released beauty equipment. However, these devices are equipped with expensive sensors, typically specializing in skin care or Dermatology is being used in the home, such as the hospital is used as a product is the most expensive product, too. This image of the skin without the use of expensive sensor utilizing the State of the skin would like to suggest a way to predict. In an experiment by the skin's image closeup deep learning techniques (Deep learning) is one of the rare coding (Sparse coding) skin condition by taking advantage of the feature extraction (extraction) rolled into one, use the extract did feature Support Vector Machine (SVM, support vector machines) to classify the degree of moisture prediction techniques. This way, in addition to the moisture throughout the oil at a later date, the State of the skin, including wrinkles, Sebaceous, predicting there will be able to take advantage of. Furthermore, even in the presence of the disease related to a dermatologist may be able to help that.

결과 (영어) 2:

The pursuit of beauty has been ever since the birth of mankind. Especially for women's 'US (美)' outward beauty is more than itself, and would like the ability or power and in men. Thus, women are devoting efforts to a variety of gardening for their beauty, has recently been launched with the development of various cosmetic chemistry and biotechnology, it is also released in beauty devices utilizing information and communication technologies. However, these devices are expensive, it is equipped with sensors commonly used for skin care and dermatology clinic specializing in companies etc. and also the most expensive products used in household products.
Therefore the skin without the use of expensive sensors Utilizing the images, we propose a way to estimate the condition of the skin. In the experiment, and close-up images of skin to pull off one of the rare coding leverage (Sparse coding) to extract the features of skin moisture conditions (extraction) of deep learning techniques (Deep learning), came up with the feature extraction using Support Vector Machine (SVM, support vector machine) to predict the degree of moisture in classification techniques.
In this way through the water, as well as further oil, sebum, wrinkles will be utilized to predict the status of various skin. Furthermore, it expects to be able to give help to telemedicine in dermatology-related diseases.

결과 (영어) 3:

the beauty of the pursuit of human being is born on this. especially in women, "the (american)" before the beautiful ideal, and in the ability or the like. therefore, women have their beauty, in order to do a variety of efforts and, recently, chemical and engineering technology, developed a variety of products are listed in the information and communication technology, the beauty equipment are listed. however,these instruments are valuable to the kind of the sensor, the professional management of the company and department of dermatology, in use, the use of product family is the most expensive products. the use of the sensor is high, do not have to use the skin to make the skin condition prediction method can offer.in the experiment, skin image, the shooting place running technique (deep learning) is one of the rare code (Sparse coding), the state of the water extraction to extract the extraction), and to the use of the characteristics of Support Vector Machine (SVM, support vector machine) technique. water is the classification prediction. in this way, after all, not only to have the water, etc., a variety of skin condition. the prediction can be.the department of dermatology and related diseases in remote diagnosis and treatment can help to achieve this.