• Title/Summary/Keyword: 선택과 제거

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Conservation of Seated Iron Śākyamuni Buddha Statue from Goryeo Dynasty (고려(高麗) 철제석가여래좌상(鐵製釋迦如來坐像)의 보존)

  • Huh, Ilkwon;Yoo, Jayoung
    • Conservation Science in Museum
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    • v.11
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    • pp.9-16
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    • 2010
  • The National Chuncheon Museum has carried out a conservation process in order to prevent corrosion of the seated iron Śākyamuni Buddha statue from Goreyo Dysnasty for its exhibition. Before the conservation process, the surface of the artifact showed exfoliation and the artifact was damaged from rear to legs so exhibition was impossible. Therefore a process to get rid of pollution and to reinforce and protect the artifact was carried out. Before the reinforcing process, a basic test was carried out using micro crystalline wax type with reference to foreign and domestic experiment results. As a result, as wax(in xylene) 5wt% of Dongnam petrochemical Ltd. showed no efflorescence and little change in surface color and was convenient to use, it was chosen as a reinforcing agent and used to suppress corrosion. For the restoration of damaged parts, an internal support was made and used with an epoxy resin, allowing removable restoration, thus increasing effectiveness for exhibition.

Effect of Concentration Polarization on The Pervaporation of Aqueous Chlorinated-Organic Solution (유기염화물 수용액의 투과증발에 미치는 농도분극의 영향)

  • Cho, Min-Suk;Kim, Seung-Jai;Kim, Jin-Hwan
    • Applied Chemistry for Engineering
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    • v.9 no.5
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    • pp.698-703
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    • 1998
  • The pervaporation experiments of aqueous solutions of trichloroethylene (TCE) and chlorobenzene (CB) through the silicone rubber (polydimethylsiloxane, PDMS) membrane were carried out and the effect of concentration polarization on the separation characteristics was investigated. The resistance-in-series model was used to explain the boundary layer resistance. It was clear that the concentration polarization phenomenon had a significant effect on the permeation behavior in the pervaporation separation of the trace organic chlorides from aqueous solutions. With the same membrane thickness, the permeation of TCE, which has a stronger affinity for the PDMS, appeared to be more influenced by the boundary layer resistance than that of CB. The effect of boundary layer resistance was reduced and the membrane resistance became dominant with increasing membrane thickness at a given hydrodynamic condition. The separation factor was increased to approach the intrinsic separation factor of the membrane with its thickness.

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The Use of Linearly Transformed LANDSAT Data in Landuse Classification (선형 변환된 LANDSAT 데이타를 이용한 토지이용분류(낙동강 하구역을 중심으로))

  • 안철호;박병욱;김종인
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.7 no.2
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    • pp.85-92
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    • 1989
  • The aim of this study is to find out the combination of effective transformed data, applying Remote Sensing techniques, as to the classification and particular objects by transforming the MSS data and TM data of the satellite LANDSAT into several linearly transformed data. Since one of the problems in the processing of the LANDSAT data is the vastness of the data, the Linear Transformation could be a method to perform analysis of those vast data, more efficiently and economically. This method is carried out as follows : (1) offering the simplicity over complex data, (2) selectional processing over redundant data and removing unnecessary data, (3) emphasizing on the object of the study ; by transforming multispectral data through linear calculation and statistical transformation. In this study, the analysis and transformation of the data have been performed by means of Band Ratioing and Principal Component Analysis. As the classificatory consequence, Infrared/RED Ratioing which expands the characterization of green vegetation, has been useful for a distinctive classification among other classes. For the Principal Component Analysis, band 1,2,7 are efficient in the classification of the green vegetation.

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Marker-Assisted Selection for Monoecy in Chamoe (Cucumis melo L.) (성발현 연관 분자마커를 이용한 단성화 참외 선발)

  • Bang, Sun-Woong;Song, Kihwan;Sim, Sung Chur;Chung, Sang Min
    • Horticultural Science & Technology
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    • v.34 no.1
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    • pp.134-141
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    • 2016
  • The DNA marker T1ex, originally developed from melon (Cucumis melo L.) for monoecy, was employed in chamoe, which is referred to as oriental melon. This marker shows size variations in monoecious melon. However, in chamoe, no such detrimental size variation was found in monoecious chamoe, and 99% association between flower phenotypes and genotypes of the T1ex marker was observed in 106 lines of chamoe. To evaluate the efficacy of the T1ex marker for marker-assisted selection (MAS), a total of 240 plants of chamoe breeding lines were screened using the T1ex marker. Among these, 98 varieties were selected. Although the T1ex marker might not be useful for MAS in melon, we found 100% concordance between genotypes and phenotypes for sex expression in chamoe. These results suggest that the T1ex marker will be a useful resource for MAS for monoecy in chamoe.

Local Region Spectral Analysis for Performance Enhancement of Dementia Classification (인지증 판별 성능 향상을 위한 스펙트럼 국부 영역 분석 방법)

  • Park, Jun-Qyu;Baek, Seong-Joon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.11
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    • pp.5150-5155
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    • 2011
  • Alzheimer's disease (AD) and vascular dementia (VD) are the most common dementia. In this paper, we proposed a region selection for classification of AD, VD and normal (NOR) based on micro-Raman spectra from platelet. The preprocessing step is a smoothing followed by background elimination to the original spectra. Then we applied the minmax method for normalization. After the inspection of the preprocessed spectra, we found that 725-777, 1504-1592 and 1632-1700 $cm^{-1}$ regions are the most discriminative features in AD, VD and NOR spectra. We applied the feature transformation using PCA (principal component analysis) and NMF (nonnegative matrix factorization). The classification result of MAP(maximum a posteriori probability) involving 327 spectra transformed features using proposed local region showed about 92.8 % true classification average rate.

Cloth Modeling using Implicit Constraint Enforcement (묵시적 제한방법을 이용한 옷 모델링 방법)

  • Hong, Min;Lee, Seung-Hyun;Park, Doo-Soon
    • Journal of Korea Multimedia Society
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    • v.11 no.4
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    • pp.516-524
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    • 2008
  • This paper presents a new modeling technique for the simulation of cloth specific characteristics with a set of hard constraints using an implicit constraint enforcement scheme. A conventional explicit Baumgarte constraint stabilization method has several defects. It requires users to pick problem-dependent coefficients to achieve fast convergence and has inherent stabilization limits. The proposed implicit constraint enforcement method is stable with large time steps, does not require problem dependent feed-back parameters, and guarantees the natural physics-based motion of an object. In addition, its computational complexity is the same as the explicit Baumgarte method. This paper describes a formulation of implicit constraint enforcement and provides a constraint error analysis. The modeling technique for complex components of cloth such as seams, buttons, sharp creases, wrinkles, and prevention of excessive elongation are explained. Combined with an adaptive constraint activation scheme, the results using the proposed method show the substantial enhancement of the realism of cloth simulations with a corresponding savings in computational cost.

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A Fast Method for Face Detection Based on PCA and SVM (PCA와 SVM에 기반하는 빠른 얼굴탐지 방법)

  • Xia, Chun-Lei;Shin, Hyeon-Gab;Park, Myeong-Chul;Ha, Seok-Wun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.6
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    • pp.1129-1135
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    • 2007
  • Human face detection technique plays an important role in computer vision area. It has lots of applications such as face recognition, video surveillance, human computer interface, face image database management, and querying image databases. In this paper, a fast face detection approach using Principal Component Analysis (PCA) and Support Vector Machines (SVM) is proposed based on the previous study on face detection technique. In the proposed detection system, firstly it filter the face potential area using statistical feature which is generated by analyzing the local histogram distribution the detection process is speeded up by eliminating most of the non-face area in this step. In the next step, PCA feature vectors are generated, and then detect whether there are faces present in the test image using SVM classifier. Finally, store the detection results and output the results on the test image. The test images in this paper are from CMU face database. The face and non-face samples are selected from the MIT data set. The experimental results indicate the proposed method has good performance for face detection.

Novel Auto White Balance Algorithm Using Adaptive Color Sampling Based on $CIEL^*a^*b^*$ color space for Mobile Phone Camera ($CIEL^*a^*b^*$ 색 공간에서 적응적 컬러 샘플링을 이용한 Mobile Phone 카메라용 자동화이트 밸런스 알고리즘)

  • Kim, Kyung-Rin;Son, Kyoung-Soo;Ha, Joo-Young;Kim, Sang-Choon;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.8
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    • pp.1356-1362
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    • 2008
  • In this paper. we propose a novel auto white balance algorithm which is one of the representative functions on cameras. White balance is the process of removing unrealistic color casts, which will make the captured white objects appear white. For white balance, we employ $CIEL^*a^*b^*$ color space which is the most complete color model available and is conventionally used to describe all the colors visible to the human eye and estimate the color difference on white objects with distribution of the image which is called the reference white estimation. For accuracy, we form groups or sets of pixels that are altered by the light sources and other elements. Moreover, Standard group is decided by judgment of specific-case images with the information of groups. Then, the reference white estimation is performed by the color sampling which is to choose all the accumulated pixels contained within the standard group. The color gain for image compensation by considering the color saturation is also computed. the proposed algorithm provides a significant performance.

Optical implementation of unidirectional integral imaging based on pinhole model (핀홀 모델 기반의 1차원 집적 영상 기법의 광학적 구현)

  • Shin, Dong-Hak;Kim, Nam-Woo;Lee, Joon-Jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.2
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    • pp.337-343
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    • 2007
  • Since three-dimensional (3D) images reconstructed in interval imaging technique are related to the resolution of elemental images, there has been a problem that ray information of elemental images increases largely in order to obtain high-resolution 3D images. In this paper, to overcome this problem, a new unidirectional integral imaging based on pinhole model is proposed. Proposed method provides a new type of unidirectional elemental images, which are simply obtained by magnifying single horizontal pixel line of each elemental image to the vertical size of lenslet using ray analysis based on pinhole model and used to display 3D images. In proposed method, reduction effect of the ray information of elemental images can be obtained by scarifying vortical parallax. Feasibility of the proposed scheme is experimentally demonstrated and its results are presented.

Development of Algorithms for Correcting and Mapping High-Resolution Side Scan Sonar Imagery (고해상도 사이드 스캔 소나 영상의 보정 및 매핑 알고리즘의 개발)

  • 이동진;박요섭;김학일
    • Korean Journal of Remote Sensing
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    • v.17 no.1
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    • pp.45-56
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    • 2001
  • To acquire seabed information, the mosaic images of the seabed were generated using Side Scan Sonar. Short time energy function which is needed for slant range correction is proposed to get the height of Tow-Fish to the reflected acoustic amplitudes of each ping, and that leads to a mosaic image without water column. While generating mosaic image, maximum value, last value and average value are used for the measure of a pixel in the mosaic image and 3-D information was kept by using acoustic amplitudes which were heading for specific direction. As a generating method of mosaic image, low resolution mosaic image which is over 1m/pixel resolution was generated for whole survey area first, and then high resolution mosaic image which is generated under 0.1m/pixel resolution was generated for the selected area. Rocks, ripple mark, sand wave, tidal flat and artificial fish reef are found in the mosaic image.