• Title/Summary/Keyword: 면처리

Search Result 2,940, Processing Time 0.032 seconds

온주밀감 과피 추출액을 이용한 직물의 천연염색

  • 임은숙;이혜선
    • Proceedings of the Korea Society of Costume Conference
    • /
    • 2004.05a
    • /
    • pp.64-64
    • /
    • 2004
  • 온주밀감은 제주도에서 재배면적 비율이 아주 높아 매년 많은 량이 생산되며 많은 과피 들이 폐기 처리되고 있다. 본 연구는 제주도의 상징이며 변색방법이 간편하고 폐자원을 활용할 수 있는 천연염재로서 온주밀감 과피에서 염료를 추출하여 염 액의 농도, 염색온도, 염색시간, 염색횟수를 변인으로하여 면, 모, 견, 나일론직물에 염색 한 후 표면색과 염색성을 검토하였다. (중략)

  • PDF

Photonic Crystals: Theory and Applications (광자결정: 이론과 응용)

  • 기철식;임한조
    • Proceedings of the Optical Society of Korea Conference
    • /
    • 2003.07a
    • /
    • pp.4-5
    • /
    • 2003
  • 21세기의 정보화 사회에는 많은 양의 정보를 신속하게 전달하며 처리하는 기술이 요구될 것이라는 것은 누구나 예상하는바 이다. 하지만, 20세기의 과학발전을 주도했던 전자소자는 이러한 요구에 부응하기 어렵다는 것이 전문가들의 공통된 견해이며 그 대안을 광을 이용한 광소자에서 찾고 있다. 헌데, 기존의 광소자들로는 효율과 소자의 크기 면에서 한계를 보이고 있어 그 한계를 극복할 대안이 요구되어진다.(중략)

  • PDF

기고 - 소음성난청 업무상질병 인정기준 개선안에 대한 고찰

  • Park, Jeong-Rae
    • 월간산업보건
    • /
    • s.387
    • /
    • pp.10-20
    • /
    • 2020
  • 근로복지공단 산재보상국에서는 올해 3월부터 새로운 소음성난청 업무상질병 인정기준을 마련하여 적용하고 있다. 여기서는 산재보상국에서 소음성난청 업무처리기준을 개정하게 된 주요배경을 소개하고, 산업보건 관계자들이 알아두었으면 하는 신규 기준의 주요사항들을 살펴보기로 한다.

  • PDF

Memory Efficient Parallel Ray Casting Algorithm for Unstructured Grid Volume Rendering on Multi-core CPUs (비정렬 격자 볼륨 렌더링을 위한 다중코어 CPU기반 메모리 효율적 광선 투사 병렬 알고리즘)

  • Kim, Duksu
    • Journal of KIISE
    • /
    • v.43 no.3
    • /
    • pp.304-313
    • /
    • 2016
  • We present a novel memory-efficient parallel ray casting algorithm for unstructured grid volume rendering on multi-core CPUs. Our method is based on the Bunyk ray casting algorithm. To solve the high memory overhead problem of the Bunyk algorithm, we allocate a fixed size local buffer for each thread and the local buffers contain information of recently visited faces. The stored information is used by other rays or replaced by other face's information. To improve the utilization of local buffers, we propose an image-plane based ray grouping algorithm that makes ray groups have high coherency. The ray groups are then distributed to computing threads and each thread processes the given groups independently. We also propose a novel hash function that uses the index of faces as keys for calculating the buffer index each face will use to store the information. To see the benefits of our method, we applied it to three unstructured grid datasets with different sizes and measured the performance. We found that our method requires just 6% of the memory space compared with the Bunyk algorithm for storing face information. Also it shows compatible performance with the Bunyk algorithm even though it uses less memory. In addition, our method achieves up to 22% higher performance for a large-scale unstructured grid dataset with less memory than Bunyk algorithm. These results show the robustness and efficiency of our method and it demonstrates that our method is suitable to volume rendering for a large-scale unstructured grid dataset.

Non-face-to-face online home training application study using deep learning-based image processing technique and standard exercise program (딥러닝 기반 영상처리 기법 및 표준 운동 프로그램을 활용한 비대면 온라인 홈트레이닝 어플리케이션 연구)

  • Shin, Youn-ji;Lee, Hyun-ju;Kim, Jun-hee;Kwon, Da-young;Lee, Seon-ae;Choo, Yun-jin;Park, Ji-hye;Jung, Ja-hyun;Lee, Hyoung-suk;Kim, Joon-ho
    • The Journal of the Convergence on Culture Technology
    • /
    • v.7 no.3
    • /
    • pp.577-582
    • /
    • 2021
  • Recently, with the development of AR, VR, and smart device technologies, the demand for services based on non-face-to-face environments is also increasing in the fitness industry. The non-face-to-face online home training service has the advantage of not being limited by time and place compared to the existing offline service. However, there are disadvantages including the absence of exercise equipment, difficulty in measuring the amount of exercise and chekcing whether the user maintains an accurate exercise posture or not. In this study, we develop a standard exercise program that can compensate for these shortcomings and propose a new non-face-to-face home training application by using a deep learning-based body posture estimation image processing algorithm. This application allows the user to directly watch and follow the trainer of the standard exercise program video, correct the user's own posture, and perform an accurate exercise. Furthermore, if the results of this study are customized according to their purpose, it will be possible to apply them to performances, films, club activities, and conferences

A Study on Rational Design and Construction of High-Tension-Bolt Friction Joints (고장력볼트 마찰이음의 합리적 설계 및 시공에 관한 연구)

  • Lee, Seung Yong;Kyung, Kab Soo
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.26 no.3A
    • /
    • pp.513-521
    • /
    • 2006
  • Many studies have been conducted on the high tension bolt friction connection in the view of the field practice. Those effort, however, unfortunately have not been appropriately applied in the design specifications. Recently, particularly for steel bridges, rationalization of design takes greater attention from designers and hence, demand on rationalization of high tension connection becomes more significant. The purpose of this study is to suggest direction for the rationalization of high tension bolt connection and to also provide fundamental information for the improvement of the design specifications. In order to accomplish the purposes, the design specifications in Korea was analyzed and compared with other specification from abroad, and was studied one of the most important factors including slip coefficient, and the specifications on the size of bolt holes. The effect of over-sized bolt hole and the reduction of axial force on bolt was evaluated through the experimental studies on the slippage of the high tension bolt connections. Other research topics included herein includes the difference of slip coefficients, the effect of over-sized bolt holes and the gap distance of members, and the application of filler plate and corrosion protected bolts. From the research results, it is known that the specifications in Korea apply a constant slip coefficient with respect to the contacted surface conditions while various coefficients are available depending on the contacted surface conditions. Therefore, it is recommended that the specifications in Korea also develop and detail the slip coefficient which can appropriately take account of the variation of the contacted surface conditions. It is also suggested that the limitation abroad on the over-sized bolt hole may be applied for enhancing the effectiveness of construction.

Color Inverse Halftoning using Vector Adaptive Filter (벡터적응필터를 이용한 컬러 역하프토닝)

  • Kim, Chan-Su;Kim, Yong-Hun;Yi, Tai-Hong
    • Journal of KIISE:Software and Applications
    • /
    • v.35 no.3
    • /
    • pp.162-168
    • /
    • 2008
  • A look-up table based vector adaptive filter is proposed in color inverse halftoning. Inverse halftoning converts halftone image into a continuous-tone image. The templates and training images are required in the process of look-up table based methods, which can be obtained from distributed patterns in the sample halftone images and their original images. Although the look-up table based methods usually are faster and show better performances in PSNR than other methods do, they show wide range of qualities depending on how they treat nonexisting patterns in the look-up table. In this paper, a vector adaptive filter is proposed to compensate for these nonexisting patterns, which achieves better quality owing to the contributed informations about hue, saturation, and intensity of surrounding pixels. The experimental results showed that the proposed method resulted in higher PSNR than that of conventional Best Linear Estimation method. The bigger the size of the template in the look-up table becomes, the more outstanding quality in the proposed method can be obtained.