• Title/Summary/Keyword: Various color information

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A comparison of the characteristic properties between soybean (Glycine max [L.] Merrill) seeds with different seed coat colors

  • Oh, Sung-Dug;Yeo, Yunsoo;Lee, So-Young;Suh, Sang Jae;Moon, Jung Kyung;Park, Soo-Kwon;Park, Soo-Yun
    • Korean Journal of Agricultural Science
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    • v.46 no.4
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    • pp.971-980
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    • 2019
  • We profiled the health-promoting bioactive components in nine types of soybean seeds with different seed coat colors (yellow, green, brown, and black) and investigated the effects of different extraction solvents (methanol, ethanol, and water) on their antioxidant activities. The carotenoid and anthocyanin compositions varied greatly by seed color, and the phenolic acids, total phenol, and total flavonoid contents differed by genotype. The carotenoid content was relatively higher in soybean seeds with green and black seed coats than in those with a yellow seed coat while lutein was the most plentiful. The anthocyanin content was considerably higher in the soybean seed with the black seed coat. The results of the DPPH assay showed strong antioxidative activities in the methanol- and water-extracts compared to the ethanol-extract, irrespective of the seed coat colors. Moreover, the soybean seeds with the black seed coat exhibited the highest antioxidant activity among the samples, regardless of the extraction solvent used. Eighteen bioactive compounds were subjected to data-mining processes including principal component analysis and hierarchical clustering analysis. Multivariate analyses showed that brown and black seeds were distinct from the yellow and green seeds in terms of the levels of carotenoids and anthocyanins, respectively. These results help our understanding of the compositional differences in the bioactive components among soybean seeds of various colors, providing valuable information for future breeding programs that seek to enhance the levels of compounds with health benefits.

Development of Earned Value Management System by Using Visualization Index and WBS Map (시각화 지표 및 좌표식 정보분류체계에 의한 공정.공사비 통합관리시스템 개발)

  • Lee, Woo-Sik;Kang, Leen-Seok;Park, Seo-Young
    • Korean Journal of Construction Engineering and Management
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    • v.10 no.1
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    • pp.26-35
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    • 2009
  • Work breakdown structure (WBS) can be used as an information center in earned value management system (EVMS) for the construction project. Because EVMS results, such as schedule variance and cost variance, are analyzed for the selected WBS code, the role of WBS code is important in EVMS. This study suggests a methodology for organizing WBS map with a quadrant. It can represent the project organization collectively by work level in a coordinate system. And the study developed an EVMS tool based on the WBS map and this tool can visualize various attribute indexes of EVMS by color symbols. Those methodologies can be used for improving practical application of EVMS.

Physicochemical Characteristics and Microbiological Distribution of Korean Traditional Meju of Various Region (지역별 시판 전통메주의 이화학적 및 미생물 분포 특성)

  • Shin, Dong-Sun;Han, Sang Ik;Choi, In Duck;Lee, Seuk Ki;Park, Ji Young;Kim, Nam Geol;Choi, Hye Sun
    • The Korean Journal of Food And Nutrition
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    • v.31 no.5
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    • pp.712-719
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    • 2018
  • This study was carried out to obtain basic data on Korean traditional Meju collected from 18 regions (TM1~TM18) in Korea and to define and control quality. The shape of Meju was mostly rectangular and the weight was 0.84~2.04 kg. The physicochemical analysis showed: pH, 5.31~8.21; total acidity, 0.91~2.74%; moisture content, 4.79~42.16%; and soluble protein content, 41.37~23.48%. Hunter color values for L (lightness), a (redness), and b (yellowness) ranged from 39.07~67.92, 3.57~8.87, and 7.48~20.67, respectively. The amino nitrogen contents of all samples were in the range of 257.29 to 839.58 mg% and TM13 showed the highest content (839.58 mg%). Total viable cells, yeast and mold counts of Meju were 8.43~5.91 log CFU/g, 2.48~5.19 log CFU/g, and 3.42~7.48 log CFU/g, respectively. Based on the results, it is proposed that quality standards and management of Meju fermentation conditions and information about different varieties of soybeans used should be made available.

The Content-based Image Retrieval by Using Variable Block Size and Block Matching Algorithm (가변 블록 크기와 블록 매칭 알고리즘의 조합에 의한 내용기반 화상 검색)

  • Kang, Hyun-Inn;Baek, Kwang-Ryul
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.8
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    • pp.47-54
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    • 1998
  • With the increasing popularity of the use of large-volume image database in various application, it becomes imperative to build an efficient and fast retrieval system to browse through the entire database. We present a new method for a content-based image retrieval by using a variable block size and block matching algorithm. Proposed approach is reflecting image features that exploit visual cues such as color and space allocation of image and is getting the fast retrieval time by automatical convergence of retrieval times which adapt to wanting similarity value. We have implemented this technique and tested it for a database of approximately 150 images. The test shows that a 1.9 times fast retrieval time compare to J & V algorithm at the image retrieval efficiency 0.65 and that a 1.83 times fast retrieval time compare to predefined fixed block size.

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Implementation of DID interface using gesture recognition (제스쳐 인식을 이용한 DID 인터페이스 구현)

  • Lee, Sang-Hun;Kim, Dae-Jin;Choi, Hong-Sub
    • Journal of Digital Contents Society
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    • v.13 no.3
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    • pp.343-352
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    • 2012
  • In this paper, we implemented a touchless interface for DID(Digital Information Display) system using gesture recognition technique which includes both hand motion and hand shape recognition. Especially this touchless interface without extra attachments gives user both easier usage and spatial convenience. For hand motion recognition, two hand-motion's parameters such as a slope and a velocity were measured as a direction-based recognition way. And extraction of hand area image utilizing YCbCr color model and several image processing methods were adopted to recognize a hand shape recognition. These recognition methods are combined to generate various commands, such as, next-page, previous-page, screen-up, screen-down and mouse -click in oder to control DID system. Finally, experimental results showed the performance of 93% command recognition rate which is enough to confirm the possible application to commercial products.

Blood Flow Rate Estimation using Proximal Isovelocity Surface Area Technique Based on Region-Based Contour Scheme and Surface Subdivision Flow Model (영역기반 윤곽선 기법과 표면 분할 유동모델에 기반한 근위 등속 표면적 기법을 이용한 혈류량 추정)

  • Jin, Kyung-Chan;Cho, Jin-Ho
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.38 no.1
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    • pp.45-52
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    • 2001
  • The proximal isovelocity surface area (PISA) method is an effective way of measuring the regurgitant blood flow rate in the mitral valve. This method defines the modelling required to describe the geometry of the isotach of the PISA. In the normal PISA flow model, the flow rate is calculated assuming that the surface of the isotach is either hemispherical or non-hemispherical numerically. However, this paper evaluated the estimate flow rate using a direct surface subdivision flow model based on the height field after isotach extraction using a region-based scheme. To validate the proposed method, the various PISA flow models were compared using pusatile color Doppler images with flow rates ranging from $30\;cm^3/sec\;to\;60\;cm^3/sec$ flow rate. Whereas the hemispherical flow model had a mean value of $29\;cm^3/sec$ and underestimated the measured flow rate by 35%, the proposed model and non-hemispherical model produced a c;ame mean value of $45\;cm^3/sec$, moreover, both flow models produced a similar pulsatile flow rate.

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Improvement of Retrieval Performance using Automatically Weighted Image Features (영상 특징들에 자동 가중치 부여를 이용한 검색 성능 개선)

  • Kim, Kang-Wook;Park, Jong-Ho;Hwang, Chang-Sik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.37 no.6
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    • pp.17-21
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    • 2000
  • Typical image features such as color, shape, and texture are used in content based image retrieved. Retrieval which uses only one image feature has little performance in case that the content of image is complex or database contains many images. So, many approaches for integrating these features have been studied. However, the problem of these approaches is how to appropriately weight the image features at query time. In this paper, we propose a new retrieval method using automatically weighted image features. We perform computer simulations in test database which consists of various kinds of images. The experimental results show that the proposed method has better performance than previous works, which use fixed weight for each feature mostly, in respect to several performance cvaluations such as precision vs recall, retrieval efficiency, and ranking measure.

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Automotive HID Ballast System Using Planar Transformer (평면 변압기를 이용한 자동차용 고압방전등 안정기 시스템)

  • Lee, Jae-Hak
    • 전자공학회논문지 IE
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    • v.43 no.3
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    • pp.22-27
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    • 2006
  • This paper presents the control system of high-efficiency automotive 35W metal-halide lamp ballast using the new control method and planar transformer. In this paper, the electronic ballast is designed so that digital control method by microcontroller can be applied to the electronic ballast for the lamp requirement and peripheral environment in order that metal-halide lamp, which has the complicated transient features, is to be applied to the automobile even if it has superior features in brightness, color rendering, light efficiency, and lifespan compared to the conventional halogen lamp. Also, the efficiency increase of the ballast is devised by being varied the switching frequency of Flyback Converter following the battery input voltage of the automobile. Being designed for high-frequency switching transformer of converter in planar form, reduction of loss, weight, overall size are realized and efficient power control in the automobile that had the limited energy and the limited space of battery is devised. The results of the proposed system is verified through various experiment results.

Effects of the Red Pepper Powders Dried in Hot-Air by Various Processing Methods on Quality of Kochujang during Fermentation (가공방법을 달리하여 열풍건조한 고춧가루가 고추장의 품질에 미치는 영향)

  • 박소희;구혜진;임호수;유진현;황성연;신언환;박영희;이종호;조재선
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.32 no.6
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    • pp.870-875
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    • 2003
  • Physicochemical characteristics of Kochujang based on hot-air dried the red pepper powders with different treatments, were investigated during 90 days fermentation to obtain information for the industrial production of Kochujang. The pH was decreased gradually during fermentation, and pH of the control Kochujang was consistently higher than those of others. The total acidity was increased linearly during fermentation, and Kochujang with 0.1% vitamin C was consistently higher than others. Reducing sugar contents of Kochujang was increased until 75 days but was decreased slightly thereafter, showing highest value for the control sample. Amino nitrogen contents was increased gradually until 75 days, showing highest value for Kochujang with mash-dried red pepper powder, but it was decreased remarkably thereafter The L and a values of Kochujang were increased, whereas b value was decreased during fermentation. L, and b values of Kochujang with mash-dried red pepper powder were higher than those of others, showing the more light and deep color than others. Appearance, taste and overall acceptability of Kochujang based on mash-dried red pepper powder were higher than others.

Face Detection Using Region Segmentation on Complex Image (복잡한 영상에서의 영역 분할을 이용한 얼굴 검출)

  • Park Sun-Young;Kang Byoung-Doo;Kim Jong-Ho;Kwon O-Hwa;Seong Chi-Young;Kim Sang-Kyoon;Lee Jae-Won
    • Journal of Korea Multimedia Society
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    • v.9 no.2
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    • pp.160-171
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    • 2006
  • In this paper, we propose a face detection method using region segmentation to deal with complex images that have various environmental changes such as mixed background and light changes. To reduce the detection error rate due to background elements of the images, we segment the images with the JSEG method. We choose candidate regions of face based on the ratio of skin pixels from the segmented regions. From the candidate regions we detect face regions by using location and color information of eyes and eyebrows. In the experiment, the proposed method works well with the images that have several faces and different face size as well as mixed background and light changes.

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