• Journal of Biosystems Engineering
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• v.22 no.1
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• pp.30-40
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• 1997

A computer vision system was built to automatically grade the leaf tobacco. A color image processing algorithm was developed to extract shape, color and texture features. An improved back propagation algorithm in an artificial neural network was applied to grade the Burley type dried leaf tobacco. The success rate of grading in three-grade classification(1, 3, 5) was higher than the rate of grading in six-grade classification(1, 2, 3, 4, 5, off), on the average success rate of both the twenty-five local pixel-set and the sixteen local pixel-set. And, the average grading success rate using both shape and color features was higher than the rate using shape, color and texture features. Thus, the texture feature obtained by the spatial gray level dependence method was found not to be important in grading leaf tobacco. Grading according to the shape, color and texture features obtained by machine vision system seemed to be inadequate for replacing manual grading of Burely type dried leaf tobacco.

• The Research Journal of the Costume Culture
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• v.7 no.5
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• pp.152-164
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• 1999

As the latter part of the research on the high school girls\` body shapes, this study aimed to classify high school girls\` lateral body shapes and by combining the result with that of the authors\` precedent study on the classification of their frontal body shapes, to classify the whole body shapes into presentative clusters. Subjects consisted of 205 high school girls in Kwangju aged 16 through 18 years. 55 anthropometric and 29 photographic measurements were taken from each subject. For more effective data analysis, these measurements were tansformed into some calculated indexes. These indexes were reduced to 8 factors and these factors classified the lateral body shapes into 3 clusters. The compound types of the whole body shapes resulting from frontal and lateral body shape analysis resulted in 9 representative cody types.

• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.555-558
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• 1999

In this paper, Ire present the result of feature points recognition and classification of radial pulse by the shape of pulse wave. The recognition algorithm use the method which runs in parallel with both the data of ECG and differential pulse simultaneously to recognize the feature points. Also we specified 3-time elements of pulse wave as main parameters for diagnosis and measured them by execution of algorithm. then we classify the shape of radial pulse by existence and position of feature points.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.29-30
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• 2021

본 논문에서는 이미지 분류에 쓰이는 최신 모델로 CNN과 ImageNet을 기반으로 한 EfficientNet을 활용해서 Square, Oval, Oblong, Round, Heart 총 다섯 가지의 얼굴 모양으로 분류하는 task에 두 가지 데이터로 실험해보고 추가적으로 Image Augmentation 기법을 활용해 성능향상을 보였다.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1990.10a
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• pp.271-275
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• 1990

• The Research Journal of the Costume Culture
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• v.17 no.6
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• pp.1099-1111
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• 2009

The purpose of this study is to classify body shapes of aged women by using 3D body scan data. For the body shape analysis and classification, 3D body scan data of 270 aged women were used, and 16 main measurements consisting of a human body were used to conduct factor analysis, cluster analysis and discriminant analysis. The analysis were performed on all 'the method using the absolute value', 'the method using index of height and weight', and 'the method using index of height', and according to the classification results, the method which categorizes body shapes best in terms of their shapes was adopted. As the factor analysis result using the numerical value of height to categorize the body shapes of the aged women, factor 1 was the thickness and width for the height, factor 2 was the height of the upper part of the body for the height, factor 3 was the height of hips for the height, and factor 4 was the height of belly for the height. When the body shapes were categorized with the deducted factors as variables, they were divided into two types. Type 1 was a short and fat body shape($\blacksquare$ type) and 55.6% of the subjects were of this type. Type 2 was for the body shape whose vertical height, including weight, was long but all kinds of width and thickness were small, that is, tall and thin body shape($\blacksquare$ type), and 44.4% of the aged women were in this case.

• Journal of Sasang Constitutional Medicine
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• v.29 no.2
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• pp.95-103
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• 2017

Objectives This study was aimed to analyze characteristics of facial shapes in adult women by sasang constitution using hyungsang classification. Methods Using a digital camera, we took a picture of 1,011 women who participated in clinical study on menstrual pain and acquired their 3D facial images with a face-only scanner. They filled out SSCQ-P(sasang constitution questionnaire for patient) for the diagnosis of sasang constitution. Based on the above photographs and 3D images, one of the hyungsang medicine specialist diagnosed according to five diagnostic criteria. The sasang constitution was diagnosed by referring to questionnaires and photographs. Frequency analysis was performed using the statistical analysis system version 9.4 and chi-square test was performed for validity evaluation. Results In taeeumin, the wide face shape(n=261, 74.36%) was much more than the narrow shape(n=90, 25.64%) and the convex face profile(n=164, 85.86%) was much more than the concave profile(n=27, 14.14%). Regardless of sasang constitution, angular face shape(n=501, 50%) was the most, followed by oval shape(n=317, 31.64%). Subjects with big ears(n=291, 29.19%) were the most, while big eyes(n=104, 10.43%) were the least. Subjects with eyes and nose tip upward(n=615, 78.05%) were the most, while eyes and nose tip downward(n=22, 2.79%) were the least. Conclusions Most Korean adult women have angular face, such as square or diamond, with slanted eyes and upturned nose. Taeeumin women have wide facial shape and convex profile.

• Journal of the Korean Society of Costume
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• v.55 no.2 s.92
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• pp.33-44
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• 2005

The purpose of this study Is to classify foot types of elderly women and young women and to suggest shoes size system by foot types for elderly women. The subjects were 321 elderly women and 181 young women. Their right feet were measured directly and indirectly by using scanner and digital camera. The anthropometric measurements were composed of 62 items. They were measured during the months of July and October in 2001 and November in 2002 The results and discussions of this study are as follows. First, in analyzing shape of the foot of elderly and young women, the shapes of foot were classified as N-type (high and narrow foot shape and wide toes), W-type (wider width for its length and severe alteration), L-type (low foot shape as oval). Second, the most characteristic foot type in elderly women was W-type. In this type, the width was wider for its length, the first metatarsophalangeal protrusion was severe and the toes were gathered at the center. On the other hand, young women belonged to N-type. Third, we suggested new size system of shoes for elderly women and the standard foot shape each type. The size system was based on foot length and foot types. Hopefully, understanding the shapes of foot and characteristics of each foot type will help to develop suitable shoes for elderly women.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.11
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• pp.1426-1437
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• 2004

The study has an objective of providing the basic data for the bodice basic pattern that is highly appropriate after classifying the torso shapes of women in 60s. In order to classify the torso shape, 200 women in 60s that reside in Seoul were investigated for 52 tests. The factor analysis produced total of 6 factors. Factor 1 tended to be posture of upper part of torso and shape of shoulder. Factor 2 was an element of silhouette and Factor 3 was vertical size of lower part of torso and side silhouette. Factor 4 showed to be width and thickness of torso, Factor 5 was shape of neck, and Factor 6 appeared to be sagging of belly and buttocks. Therefore, it can be known that posture, silhouette, shape of neck and shoulder, sagging of belly and buttocks, and etc. are important factors for classification of the torso shape of women in 60s. Through a cluster analysis, each torso shape was classified into 4 types and each type showed information on size, shape, and posture clearly. Type 1 showed percentage of 24.2%, and values of height and weight showed to be average. Also, the body shape hardly had any curve with high shoulder at the Posture of upper body, and they had saggy stomach and buttocks. 43.5% of them were involved in Type 2 and they were short and overweighted. They were comparatively large in width compared to the height with no curves. Type 2 had the largest percentage and this can be said to be the special shape of women in 60s. People of Type 3 were short and overweighted just like Type 2 and all the sizes were similar to those of Type 2 or bigger. The posture is right posture and 21.7％ fall into this type and there is no body curve. This type is the shortest and most overweighted type, and it is a torso shape with right posture just like Type 4. Type 4 is a torso shape with tallest height and least weight. The percentage was the smallest(10.6％) and the width was smaller than any other type but the height was the tallest. The body curve is very clear and they have thin body but big buttocks so it can be said that the people of this type have the best silhouette. Type 2 that had the highest percentile is short and overweighted so it can be said that Type 2 is the representative torso shape of women in 60s.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.127-137
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• 2019

In this study, we have developed a calculation system for BIM-based quantities, 4D process, and 5D construction costs, by integrating object shape attributes and the standard classification system which consist of Cost Breakdown System(CBS), Object Breakdown System(OBS) and Work Breakdown System(WBS) in order to use for the 4 dimensional process control of roads and rivers. First, a new BIM library database connected with the BIM library shape objects was built according to the CBS/OBS/WBS standard classification system of the civil engineering field, and a integrated database system of BIM-based quantities, process(4D), and construction costs(5D) for roads and rivers was constructed. Nextly, the process classification system and the cost classification system were automatically disassembled to the BIM objects consisting of the Revit-family style elements. Finally, we added functions for automatically generating four dimensional activities and generating a automatic cost statement according to the combination of WBS and CBS classification system The ultimate goal of this study was to extend the integrated quantities, process(4D), and construction costs(5D) system for new roads and rivers, enabling the integrated use of process(4D) and construction costs(5D) in the design and construction stage, based on the tasks described above.