• 한국컴퓨터정보학회논문지
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• 제23권4호
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• pp.121-129
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• 2018

The purpose of this study is to provide a basic data of clothing development which can improve the satisfaction of the body shape by examining the subjective evaluation and type characteristics of the old-old women themselves. Q methodology was used for the study of subjectivity. The types of the body shape of the old-old women were analyzed as five types: bent body with protruding abdomen, backward bent body with slender legs, inverted triangle, swollen cylinder, triangle. The bent body with protruding abdomen had a bent back and waist. They were recognized that the bust and shoulders were sagging and abdomen was protruding. The backward bent body with slender legs was the smallest of the five types with a BMI index and shoulders and bust were sagging. And knee and waist were bent and legs were thin. The inverted triangular shape showed the highest BMI index among the 5 types, indicating that it is obese. They thought that the upper body was developed and the lower body and legs were slender. The swollen cylinder shape was analyzed to be the smallest and the most fat body. The triangle shape had developed lower body and bent back and waist. It is considered that a design consideration is needed to cover the disadvantages of the body shape in consideration of not only wearing feeling but also aesthetic part when making clothes. By making ergonomic garments considering the characteristics of body shape, it can be expected to change the body shape due to the wearing of clothing that is not suitable for body shape and the effect on physical health in a positive direction.

• 한국컴퓨터정보학회논문지
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• 제24권4호
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• pp.137-144
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• 2019

The purpose of this study was to provide basic data for the development of a prototype of a garment that allows middle aged men to look idealized by examining the type of perception of middle aged men based on their subjective evaluation and their characteristics. This study used the Q methodology, which is a subjective research method that finds correlations among middle aged men across subjective attributes. The types of perception of body shape of middle aged men were analyzed as three types: leaning forward shape with bird legs, developed upper body shape with thick legs, protruding abdomen obesity body shape. The leaning forward shape with bird legs was recognized as the lowest in the BMI index, and the shoulder and chest were sagging, legs were thinner than the body and leaned forward. And that the hip were protruding and had a flat rectangular shape. Developed upper body shape with thick legs was the second overweight type of BMI index. It was recognized that the ankle and calf thighs were thick and the upper abdomen protruded upper body development body. Protruding abdomen obesity body shape was the most obese type with BMI index. In this type, the height was the smallest, and the upper abdomen came out and the abdomen protruded, and the abdomen was more exuded than the chest, and the neck was thick and the hips were recognized as the big body. The middle aged men's recognitive body shape was classified as a similar to actual body shape. However, in the recognition type, the frontal and side body types were mixed and classified. It is necessary to study the ergonomic pattern considering the features of each body type. This suggests that psychological effects can be obtained that allow the body shape that changes with age to be accepted more positively.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2005년도 춘계 학술발표회 논문집
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• pp.392-399
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• 2005

Shear modulus (or rigidity) of dam material is an important parameter which can be directly associated with the deformation of dam. Seepage or leakage of water can cause the defects or cracks of dam body. The existence of cracks and rigidity of dam body are decisive information for the estimation of dam safety. Rigidity of material is mainly determined from S-wave velocity and the defects of dam body can be detected by seismic reflection survey. Therefore, seismic reflection survey will be a desirable method which can give a solution about dam safety problem. Among various physical properties of dam body, S-wave velocity is the most important information but it is not easy to get the information. In this study, diverse measuring techniques of S-wave reflection survey were attempted to get the information about S-wave velocity of dam body. Ultimately, S-wave velocity could be estimated by the analysis of SH reflection events which can be easily observed in shot gather data obtained from SH measuring technique. Meanwhile, P-wave reflection survey was also performed at the same profile. P-beam radiation technique which can reduce the surface waves and reinforce the P-wave reflection events was applied for giving a help to analyse P-wave velocity. In the end, P-and S-wave velocity, Vs/Vp, Poisson's ratio distribution of the vertical section under the profile could be acquired.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.553-556
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• 2015

대부분의 맞춤 정장 회사에서는 재단사가 신체 치수를 직접 측정하기 때문에 신속하지 못하며 개인마다 그 기준이 모호하여 일관성을 가지기가 어렵고 고객이 신체 접촉으로 인한 불쾌감을 느낄 수가 있다. 이러한 문제점을 개선하기 위한 방법으로 본 논문에서는 길이 정보를 담고 있는 마크가 프린트되어 있는 엘라스틱 밴드를 몸에 착용한 후 디지털 카메라로 신체를 촬영하여 일반적인 영상처리 기술로 측정하기 어려운 신체의 특정 부위를 보다 효과적으로 측정 할 수 있는 방법을 제안한다.

• 방송공학회논문지
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• 제17권4호
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• pp.611-624
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• 2012

'제스처'는 음성을 제외한 가장 직관적인 인간의 의사표현 수단이다. 따라서 키보드나 마우스를 대체하여 제스처를 입력으로 컴퓨터를 제어할 수 있는 방법에 대한 연구가 많이 진행되고 있다. 이러한 연구에서 사용자 객체의 검출과 주요 신체부위의 추정은 매우 중요한 과정 중의 하나이다. 본 논문에서는 깊이정보가 부정확한 조건에서 사용자 객체검출과 주요 신체부위를 추정하는 방법을 제시한다. 본 논문에서는 2D 영상정보와 3D 깊이정보를 이용하여 조명 변화와 잡음에 강인하고, 3D 깊이정보를 1D 신호로 변환하여 처리함으로써 실시간에 적합하며, 이전 객체정보를 이용하여 더욱 정확하고 환경변화에 강인한 사용자 검출 방법을 제안한다. 또한 주요 신체부위 추정 방법에서 본 논문에서는 2D 외곽선 정보와 3D 깊이정보 및 추적을 혼합 사용하여 사용자 자세를 추정하는 방법을 제안한다. 실험결과 제안된 사용자 객체 검출방법은 2D정보만을 이용하는 방법에 비해 조명변화와 복잡한 환경에 강인하고, 깊이정보가 부정확한 경우에도 정확한 객체검출을 수행하였다. 또한 제안된 주요 신체부위 추정방법은 2D 외곽선 정보만 이용할 경우 겹친 부분에 대한 검출이 불가능하고, 색상 정보를 사용하는 방법은 조명이나 환경에 민감한 단점을 극복함을 확인할 수 있다.

• 대한가정학회지
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• 제40권7호
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• pp.157-172
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• 2002

The purpose of this study is to characterize body types of males in their twenties, and to provide information on body types of males by classifying them into groups. In addition, this study attempts to provide ways that can help improve the fit and coverage rate of ready-to-wear clothes by developing an apparel sizing system according to body types. 297 male subjects in their twenties participated in this study. 54 anthropometric and 35 photographic measurements were taken from each subject. After combining the body types of the front and the side into a whole body, we selected typical body types out of the combinations. It is shown that 84.64% of males in their twenties belong to the HI type, H/equation omitted/ type, X/equation omitted/ type, Xl type, Yl type, and HS type. To develop a new size system of clothes, the distribution of sizes was determined by using means and standard deviations for basic parts of each body type. Then, the most optimal sizes were selected separately for each body type to maximize the coverage rate.

• 한국컴퓨터정보학회논문지
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• 제26권1호
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• pp.201-208
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• 2021

본 연구에서는 2009-2016 보건의료 빅데이터를 활용하여 신체 정보와 혈액 내 지질 농도의 연관성을 다변량 분석하여 주요 요소들 사이의 영향력 정도를 비교 분석함으로써, 한국인의 이상지질혈증 예측모델 개발을 위한 근거를 제시하고자 한다. 3,312,971 명의 건강검진정보 자료를 통해서 신체 정보(나이, 신장, 체중, 허리둘레) 항목과 혈액검사(총콜레스테롤, 중성지방, HDL 콜레스테롤, LDL 콜레스테롤) 항목 간의 다차원적 선형상관관계를 도출하고, 항목 간의 영향력을 정준변량(canonical variate)으로 분석하였다. 그 결과 허리둘레가 크고 체중이 많이 나가면 중성지방이 높아지고 HDL 콜레스테롤 수치가 낮아지는 다차원적 상관관계를 도출하였다. 또한, 나이, 체중, 허리둘레, HDL 콜레스테롤 항목은 그 영향력 정도가 성별에 따라 유의미한 차이를 보였다. 특히, 나이에 따른 영향력의 정도는 체중, 허리둘레, HDL 콜레스테롤 항목이 40-50 전후 여성에게서 뚜렷한 변화를 보였다. 보건의료 빅데이터를 정준상관분석 기법을 적용하여 분석한 다차원적 상관관계는 비침습적인 방법으로 간편하게 측정 가능한 신체정보를 바탕으로 건강 상태를 평가할 수 있는 예측모델을 개발하는 데 활용될 수 있을 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권11호
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• pp.4395-4412
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• 2020

The multisource image fusion has become an active topic in the last few years owing to its higher segmentation rate. To enhance the accuracy of multimodal pig-body feature segmentation, a multisource image fusion method was employed. Nevertheless, the conventional multisource image fusion methods can not extract superior contrast and abundant details of fused image. To superior segment shape feature and detect temperature feature, a new multisource image fusion method was presented and entitled as NSST-GF-IPCNN. Firstly, the multisource images were resolved into a range of multiscale and multidirectional subbands by Nonsubsampled Shearlet Transform (NSST). Then, to superior describe fine-scale texture and edge information, even-symmetrical Gabor filter and Improved Pulse Coupled Neural Network (IPCNN) were used to fuse low and high-frequency subbands, respectively. Next, the fused coefficients were reconstructed into a fusion image using inverse NSST. Finally, the shape feature was extracted using automatic threshold algorithm and optimized using morphological operation. Nevertheless, the highest temperature of pig-body was gained in view of segmentation results. Experiments revealed that the presented fusion algorithm was able to realize 2.102-4.066% higher average accuracy rate than the traditional algorithms and also enhanced efficiency.

• 대한원격탐사학회지
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• 제31권4호
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• pp.337-346
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• 2015

Water body extraction based on backscatter information is an essential process to analyze floodaffected areas from Synthetic Aperture Radar (SAR) image. Water body in SAR image tends to have low backscatter values due to homogeneous surface of water, while non-water body has higher backscatter values than water body. Non-water body, however, may also have low backscatter values in high resolution SAR image such as Kompsat-5 image, depending on surface characteristic of the ground. The objective of this paper is to present a method to increase backscatter contrast between water body and non-water body and also to remove efficiently misclassified pixels beyond true water body area. We create an entropy image using a Gray Level Co-occurrence Matrix (GLCM) and classify the entropy image into water body and non-water body pixels by thresholding of the entropy image. In order to reduce the effect of threshold value, we also propose Water Body Texture Index (WBTI), which measures simultaneously the occurrence of repeated water body pixel pair and the uniformity of water body in the binary entropy image. The proposed method produced high overall accuracy of 99.00% and Kappa coefficient of 90.38% in water body extraction using Kompsat-5 image. The accuracy analysis indicates that the proposed WBTI method is less affected by the choice of threshold value and successfully maintains high overall accuracy and Kappa coefficient in wide threshold range.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 추계학술대회 논문집 전력기술부문
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• pp.46-50
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• 2004

This paper analysed the induced current density inside human body of hot-line worker for 765kV double circuit transmission line according to locations of human body Human was modelled by several organs, which included brain, heart, lungs, liver and intestines. We applied the 3 dimensional boundary element method to calculate induced electric fields.