• Proceedings of KHEA Conference
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• 1997.07a
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• pp.52-52
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• 1997

• Journal of architectural history
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• v.18 no.5
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• pp.25-39
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• 2009

The examples of developing a building site after the Woongjin period are mainly found in temple sites, tile-roofed building sites of unidentified features, and palace remains including the pavilion site with the river in the front(임류각지) inside the Castle of Gongsan, Gongjoo. In case of the Hanseong period, a glimpase of the features has gained in Poongnab mud castle and Mongchon mud castle, but the excavated relics are not yet enough to make some date out of them. After the Woongjin period of Baejae, the earth-ramming development method was used mostly to construct a building site, which is divided into horizontal and slant raising of the ground level. Both are used simultaneously, but there are the significant differences in the way of raising the ground level between them. Particularly, in case of the Wanggoong-ri relics in Iksan, the ground level was raised in a narrow line slantly, which is differentiated from other slant raising of the ground level, and its time of construction also is after that of others. In addition, the board-building development method used for narrow space is usually found in the remains since the seventh century. However, there are not enough the relics of Baekjae to reveal the whole aspect of building site development. It should be studied later through the subsequent excavation and research.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.160-161
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• 2016

본 연구는 중국 식당평가사이트인 디엔핑닷컴(dianping.com)을 이용하여 정량데이터 형태인 식당의 음식품질, 서비스품질, 분위기품질을 평가한 값을 수집하고, 비정량데이터인 현지고객들이 작성한 리뷰를 이용하여 텍스트마이닝과 콘텐츠분석을 통해 식당의 브랜드개성을 정의하고, 도출된 식당의 브랜드개성과 지각된 서비스 품질과의 영향력을 파악하기 위해 다중회귀분석을 시행하였다. 중국의 경우는 브랜드개성요소 중 세련은 품질에 있어서 가장 큰 영향을 미치는 변수로 나타났다. 지각된 서비스 품질 요소와 브랜드 개성과의 영향력을 파악하는 것은 현지진출 전략수립 뿐만 아니라 한국에 방문하는 중국인들 대상으로 관광유치전략 수립시에도 보다 나은 시사점을 제시할 수 있다.

• Journal of the Korea Furniture Society
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• v.27 no.4
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• pp.375-382
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• 2016

This study focuses on the shape of the bottle, the Chinese Qing Dynasty porcelain decoration. Consideration given to understand the basic form of the catheter, and the basic division. To study the binding form to the principles of the design work to prepare a lacquer on the basis of the results obtained here. When classified by type illness Qing Dynasty porcelain decorative porcelain six types, semi-porcelain could be classified into five types. Production form to pursue work in this study design is produced in the form of asymmetrical vases object type curve. These bottles of Qing Dynasty porcelain for decoration. The basic type of pottery types and selected six of its basic and applied work. Production design work was produced Hyupjeotae production techniques that facilitate formative representation.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.119-128
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• 2020

Object detection is an important field of computer vision and is applied to applications such as security, autonomous driving, and face recognition. Recently, as the application of artificial intelligence technology including deep learning has been applied in various fields, it has become a more powerful tool that can learn meaningful high-level, deeper features, solving difficult problems that have not been solved. Therefore, deep learning techniques are also being studied in the field of object detection, and algorithms with excellent performance are being introduced. In this paper, a deep learning-based object detection algorithm used to detect multiple objects in an image is investigated, and future development directions are presented.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.294-301
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• 2022

COVID-19 is a crisis with numerous casualties. The World Health Organization (WHO) has declared the use of masks as an essential safety measure during the COVID-19 pandemic. Therefore, whether or not to wear a mask is an important issue when entering and exiting public places and institutions. However, this makes face recognition a very difficult task because certain parts of the face are hidden. As a result, face identification and identity verification in the access system became difficult. In this paper, we propose a system that can detect masked face using transfer learning of Yolov5s and recognize the user using transfer learning of Facenet. Transfer learning preforms by changing the learning rate, epoch, and batch size, their results are evaluated, and the best model is selected as representative model. It has been confirmed that the proposed model is good at detecting masked face and masked face recognition.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.302-309
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• 2022

Occupational safety accidents are caused by various factors, and it is difficult to predict when and why they occur, and it is directly related to the lives of workers, so the interest in safety accidents is increasing every year. Therefore, in order to reduce safety accidents at industrial fields, workers are required to wear personal protective equipment. In this paper, we proposes a method to automatically check whether workers are wearing safety helmets among the protective equipment in the industrial field. It detects whether or not the helmet is worn using YOLOv5, a computer vision-based deep learning object detection algorithm. We transfer learning the s model among Yolov5 models with different learning rates and epochs, evaluate the performance, and select the optimal model. The selected model showed a performance of 0.959 mAP.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.9
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• pp.1224-1230
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• 2020

Since the spread of smart phones, interest in wearable devices has increased and diversified, and is closely related to the lives of users, and has been used as a method for providing personalized services. In this paper, we propose a method to detect the user's behavior by applying information from a 3-axis acceleration sensor and a 3-axis gyro sensor embedded in a smartphone to a convolutional neural network. Human behavior differs according to the size and range of motion, starting and ending time, including the duration of the signal data constituting the motion. Therefore, there is a performance problem for accuracy when applied to a convolutional neural network as it is. Therefore, we proposed a Time-Division Feature Fusion Convolutional Neural Network (TDFFCNN) that learns the characteristics of the sensor data segmented over time. The proposed method outperformed other classifiers such as SVM, IBk, convolutional neural network, and long-term memory circulatory neural network.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.33 no.1 s.60
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• pp.23-28
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• 2007

Ascorbic acid (vitamin C, AsA) has been known as a strong reducing agent and is supposed to retard the synthesis of melanin pigment. A main problem that arose in using vitamin C in cosmetic formulation was its poor stability and low skin permeability, which result in low lightening efficacy in clinical trials. In this study, iontophoretic gel patch with flexible thin layer battery was employed in order to enhance skin permeation of vitamin c derivative (ascorbyl glucoside, AsAG) and to increase its lightening efficacy. in vitro iontophoretic skin permeation and stability of AsAG, safety and clinical lightening efficacy of iontophoretic patch containing 2% AsAG solution were examined. A optimun current of ionthophoretic patch for korean women was 0.1 mA, considering the skin permeability and skin irritation of consumers. We suggest that iontophoretic gel patch could be a safe system for enhancing the skin permeation of AsAG and lightning efficacy.

• Journal of the Korean Chemical Society
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• v.33 no.1
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• pp.70-81
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• 1989

Reverse phase liquid chromatographic elution behaviors of salicylic acid and its derivatives were studied with classical and modern high-performance liquid chromatography(HPLC) using Amberlite XAD-4 and XAD-7 resin packed columns. Capacity factors(k') were determined in the comparatively high concentration(from 0. 010F to 0. 150F) of ferric nitrate-50% methanol solution to elucidate the elution behaviors with classical method. On the other hand, k's were measured in the various concentrations of methanol and ferric nitrate(from $2.5{\times}10^{-4}F\;to\;1.0{\times}10^{-3}F$) solution of pH 2. 25 and 293K with HPLC to explain the elution mechanism of them, and to find their optimum separation condition. As a result, it was found that log k's of salicylic acid and its derivatives were decreased with increasing the concentration of ferric ion, and the decreasing slopes of the compounds on the increasing ferric ion concentrations were related with each stability constant of ferric salicylates. Some isomers of derivatives of salicylic acid could be separated in the optimum condition.