• Title/Summary/Keyword: body image

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The Study of Dietary Habits and Health Behaviors according to Physical Activity Type in Korean Adults -Based on the 2016~2018 Korea National Health and Nutrition Examination Survey- (한국 성인의 신체활동 유형에 따른 식생활 및 건강행태 - 2016~2018년 국민건강영양조사 자료를 이용하여 -)

  • Kim, Jin-A;Lee, Sim-Yeol
    • Korean Journal of Community Nutrition
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    • v.26 no.2
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    • pp.122-133
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    • 2021
  • Objectives: This study evaluated the dietary habits and health behaviors of Korean adults according to their physical activity. Methods: Adults aged 19~64 years, who participated in the 2016~2018 National Health and Nutrition Examination Survey, were enrolled in this study. The subjects were classified into the physical inactivity group, aerobic physical activity group, strength exercise group, and combined exercise group. Results: Significant differences in skipping breakfast, frequency of eating out, dietary supplements, and alcohol drinking status were observed among physical activity groups (P < 0.001). The combined exercise group had the highest % KDRI of protein, vitamin A, thiamin, riboflavin, niacin, calcium, potassium, and iron (P < 0.001). The physical inactivity group had the highest obesity rate (35.1%), and they perceived their body image type to be obese. In the combined exercise group, 47.8% of respondents said they were in good health (P < 0.001). The health-related quality of life score of the physical inactivity group was the lowest, with a score of 0.94. The metabolic syndrome risk rate of the combined exercise group was lower at 0.62 times (95% CI, 0.51-0.75) than the physical inactivity group. Conclusions: The physical activity type was associated with metabolic syndrome. These results can be useful for supporting dietary education and physical activity programs for adults.

Armed person detection using Deep Learning (딥러닝 기반의 무기 소지자 탐지)

  • Kim, Geonuk;Lee, Minhun;Huh, Yoojin;Hwang, Gisu;Oh, Seoung-Jun
    • Journal of Broadcast Engineering
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    • v.23 no.6
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    • pp.780-789
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    • 2018
  • Nowadays, gun crimes occur very frequently not only in public places but in alleyways around the world. In particular, it is essential to detect a person armed by a pistol to prevent those crimes since small guns, such as pistols, are often used for those crimes. Because conventional works for armed person detection have treated an armed person as a single object in an input image, their accuracy is very low. The reason for the low accuracy comes from the fact that the gunman is treated as a single object although the pistol is a relatively much smaller object than the person. To solve this problem, we propose a novel algorithm called APDA(Armed Person Detection Algorithm). APDA detects the armed person using in a post-processing the positions of both wrists and the pistol achieved by the CNN-based human body feature detection model and the pistol detection model, respectively. We show that APDA can provide both 46.3% better recall and 14.04% better precision than SSD-MobileNet.

Object classification and the number of pixels compared with children protection (화소 수 비교를 통한 성인과 유아 구분 방법)

  • Kang, ji-hun;Kim, chang-dae;Ryu, sung-pil;Kim, dong-woo;Ahn, jae-hyeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.725-728
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    • 2014
  • Continue to have an increasingly violent crimes against children every year, and as you know all seriousness is classified as a felony. However, efforts to reduce the underlying crime is low. Therefore, it is necessary to solve this problem, the security system. Is to protect the children and adults that exist that can pose a threat to children to identify and monitor tracking method in this paper. Was based on a Korean standard body size of a person, such as keys, arm length, leg length, head vertical length, head width proposed method. Also, separate the adults and children through the comparison of the reference value, the ratio and the ratio of the number of pixels of the detected object, the proposed method. Processing speed is fast because it detects only a specific object region in the entire image in the handling method in the proposed method the five nine minutes. The advantage is to enable comparison of the specific object, through which there is.

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Radiation Dose Comparison according to Different Organ Characteristics at Same Scan Parameters Using CareDose 4D: An Adult and Pediatric Phantom Evaluation (CareDose 4D 사용 시 동일한 스캔조건에서 조직기반설정을 다르게 적용함에 따른 선량 비교: 성인과 소아팬텀 연구)

  • Kong, Hyo-Geum;Lee, Ki-Baek
    • Journal of radiological science and technology
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    • v.42 no.4
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    • pp.271-277
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    • 2019
  • CareDose 4D which is the Siemens's Automatic Exposure Control (AEC) can adjust the level of radiation dose distribution which is based on organ characteristic unlike other manufacturer's AEC. Currently, a wide scan range containing different organs is sometimes examined at once (defined as one scan). The purpose of this study was to figure out which organ characteristic option is suitable when one scan method is utilized. Two types of anthropomorphic phantoms were scanned in the same range which were from frontal bone to carina level according to three different organ characteristics such as Thorax, Abdomen, and Neck. All scans and image reconstruction parameters were equally applied and radiation dose were compared. Radiation dose with Thorax organ characteristic was lower than that with Neck. Also, that with Abdomen oran characteristic was lower than Thorax. There were significant differences in radiation dose according to different organ characteristics at the same parameters (P<0.05). Usage of Neck organ characteristic had a result of the highest radiation dose to all phantom. On the other hand, utilization of Abdomen organ characteristic showed the lowest radiation dose. As a result, it is desirable to set appropriate organ characteristic according to examined body part when you checkup patients. Also, when you implement one scan method, selection of Abdomen-based organ characteristic has reduced more radiation dose compared with two different organ characteristic.

A study on design characteristics of SPA brand knitwear in domestic and overseas markets - With a Focus on the 2019 S/S Season - (국내외 SPA 브랜드 니트웨어의 디자인 특성에 관한 연구 - 2019년 S/S 시즌 중심으로 -)

  • Lee, Yoo-Mi
    • Journal of the Korea Fashion and Costume Design Association
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    • v.21 no.3
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    • pp.121-136
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    • 2019
  • The fashion market is expanding and competition is intensifying due to the contraction of consumption in response to the economic recession and changes in trends. In this study, design characteristics reflecting the brand identity and trend are analyzed as important factors for success. In this study, we will look at the design characteristics of knitwear among SPA brand products and help to plan knit designs. First, six brands were selected based on the sales and the number of stores in domestic and foreign SPA brands. The selected brands include UNIQLO, ZARA, H&M, SPAO, TOPTEN, and 8Seconds. We have selected weft knitting knitwear products(1,736 pieces), which are currently sold in domestic and foreign SPA brands, as silhouette items, knitwear design items, gauges, colors, patterns, images, and items as analysis items to analyze the causes of the differences in the design characteristics of domestic and foreign knitwear. The SPA brand has a wide range of tattoo floors, emphasizing practical aspects, a silhouette that fits the body, and a comfortable daily style. Domestic and foreign SPA brands did not show much difference, but Korean brands had a lower diversity of organization and used color for stable sales, showing a lower concern in trend and strong point color applications. If foreign brands pursue femininity based on a sexy image, Korean brands displayed a difference, emphasizing cute images. As for other design factors, it was found that brand identity was reflected more than domestically. As the cycle of trends becomes shorter, fast fashion is expected to continue in the future, and it is hoped that this research will be used as useful data for design projects of domestic companies.

Development strategy of acting skills based on the principle underlying physical behavior - Using Taekwondo technology - (신체행동에 내재된 원리를 바탕으로 한 연기술의 발전방안 - 태권도 기술을 활용하여 -)

  • Nam, Chan-Gyu
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.2
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    • pp.233-238
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    • 2019
  • The purpose of this study was to realize and apply Taekwondo's technology and the fact that actors on stage and screen have much in common. In the meantime, there have been many prior studies on the development of the theoretical field. However, there is a slight lack of practical development and development plans, and it is time to improve. This seems to be a lack of practical experience leading to the creation of physical images. In that sense, I think that it should be supported by the complement of concrete and detailed research that seeks to make changes in open technology significantly. Considering this situation, it is necessary to further develop the practical field in parallel with the theoretical field. Therefore, I suggested the principle of physical behavior through Taekwondo technology and the development of acting skill. The performance training using these taekwondo techniques is meaningful research.

Implementation of User Gesture Recognition System for manipulating a Floating Hologram Character (플로팅 홀로그램 캐릭터 조작을 위한 사용자 제스처 인식 시스템 구현)

  • Jang, Myeong-Soo;Lee, Woo-Beom
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.2
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    • pp.143-149
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    • 2019
  • Floating holograms are technologies that provide rich 3D stereoscopic images in a wide space such as advertisement, concert. In addition, It is possible to reduce the 3D glasses inconvenience, eye strain, and space distortion, and to enjoy 3D images with excellent realism and existence. Therefore, this paper implements a user gesture recognition system for manipulating a floating hologram characters that can be used in a small space devices. The proposed method detects face region using haar feature-based cascade classifier, and recognizes the user gestures using a user gesture-occurred position information that is acquired from the gesture difference image in real time. And Each classified gesture information is mapped to the character motion in floating hologram for manipulating a character action. In order to evaluate the performance of the proposed user gesture recognition system for manipulating a floating hologram character, we make the floating hologram display devise, and measures the recognition rate of each gesture repeatedly that includes body shaking, walking, hand shaking, and jumping. As a results, the average recognition rate was 88%.

A Study on the Shielding of Orbit by 3D Printed Filament in Brain CT (Brain CT검사 시 3D프린터 필라멘트에 따른 수정체 차폐 연구)

  • Choi, Woo Jeon;Kim, Dong Hyun
    • Journal of the Korean Society of Radiology
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    • v.15 no.2
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    • pp.101-108
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    • 2021
  • The CT can accurately present the anatomical structure of an organ in the human body, and the resolution of the image is excellent. On Brain CT examination, the radiation sensitivity of the orbit is high and it is subject to many exposure effects. To reduce exposure dose of lens, this study compares change of exposure dose and shielding rate about non-shielding and shielding in a way of using two shielding materials, bismuth and tungsten. In this study, we used bismuth and tungsten filament as shielding materials made by 3D printing to measure the exposure dose according to the materials thickness and each of slices. To compare each shielding rate, 1 mm to 5 mm of two materials was measured with the head phantom fixed and the Magicmax universal dosimeter placed on the eye when the shielding material is not placed, and the shielding material is placed on it. In the 1 mm thick filament, the bismuth filament showed 26.8% and the tungsten filament showed 43.1% shielding rate. Therefore, tungsten presents much greater shielding effect than bismuth.

A Study on the Debinding Process of High Purity Alumina Ceramic Fabricated by DLP 3D Printing (DLP 3D 프린팅으로 제작된 고순도 알루미나 세라믹 탈지 공정 연구)

  • Lee, Hyun-Been;Lee, Hye-Ji;Kim, Kyung-Ho;Ryu, Sung-Soo;Han, Yoonsoo
    • Journal of Powder Materials
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    • v.27 no.6
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    • pp.490-497
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    • 2020
  • The 3D printing process provides a higher degree of freedom when designing ceramic parts than the conventional press forming process. However, the generation and growth of the microcracks induced during heat treatment is thought to be due to the occurrence of local tensile stress caused by the thermal decomposition of the binder inside the green body. In this study, an alumina columnar specimen, which is a representative ceramic material, is fabricated using the digital light process (DLP) 3D printing method. DTG analysis is performed to investigate the cause of the occurrence of microcracks by analyzing the debinding process in which microcracks are mainly generated. HDDA of epoxy acrylates, which is the main binder, rapidly debinded in the range of 200 to 500℃, and microcracks are observed because of real-time microscopic image observation. For mitigating the rapid debinding process of HDDA, other types of acrylates PETA, PUA, and MMA are added, and the effect of these additives on the debinding rate is investigated. By analyzing the DTG in the 25 to 300℃ region, it is confirmed that the PETA monomer and the PUA monomer can suppress the rapid decomposition rate of HDDA in this temperature range.

Real Time Hornet Classification System Based on Deep Learning (딥러닝을 이용한 실시간 말벌 분류 시스템)

  • Jeong, Yunju;Lee, Yeung-Hak;Ansari, Israfil;Lee, Cheol-Hee
    • Journal of IKEEE
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    • v.24 no.4
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    • pp.1141-1147
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    • 2020
  • The hornet species are so similar in shape that they are difficult for non-experts to classify, and because the size of the objects is small and move fast, it is more difficult to detect and classify the species in real time. In this paper, we developed a system that classifies hornets species in real time based on a deep learning algorithm using a boundary box. In order to minimize the background area included in the bounding box when labeling the training image, we propose a method of selecting only the head and body of the hornet. It also experimentally compares existing boundary box-based object recognition algorithms to find the best algorithms that can detect wasps in real time and classify their species. As a result of the experiment, when the mish function was applied as the activation function of the convolution layer and the hornet images were tested using the YOLOv4 model with the Spatial Attention Module (SAM) applied before the object detection block, the average precision was 97.89% and the average recall was 98.69%.