• Title/Summary/Keyword: Color appearance

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Quality Properties of Cream Soup Added with Chungdong Pumpkin and Sweet Pumpkin (청동호박과 단호박을 첨가한 크림수프의 품질 특성)

  • 김정미;노용환;유양자
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.33 no.6
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    • pp.1028-1033
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    • 2004
  • This study was conducted to improve the quality properties of cream soup in accordance with the added amount of sweet pumpkin and Chungdong pumpkin, roux and chicken stock. As the amount of pumpkin was increased, red (a-value) and yellow (b-value) colors increased but its lightness (L-value) remarkably decreased. Also, there was a significant differences in viscosity, color, appearance and overall preference of sensory evaluation. In pumpkin 150 g (37.5%) added, the degree of total preference was high. As the added amount of roux was increased, red and yellow colors decreased by small margin and there was a significant differences in color, flavor, appearance and overall preference of sensory test. At adding roux of 5 mL (1.5%) showed the highest preference. With the adding chicken stock increase the lightness, red and yellow color decreased. It was found by sensory evaluation that there were significant differences in viscosity, color, flavor, appearance and overall preference. At adding chicken stock 150 mL (37.5%) and milk of 50 mL (12.5%) showed the high score in flavor, appearance and total preference.

Identification of 11 species of Paemo through each original plant and medicines (11종 패모(貝母)의 기원별 자연·약재상태 감별)

  • Lee, Seungho;Ju, Youngsung
    • The Korea Journal of Herbology
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    • v.29 no.6
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    • pp.133-140
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    • 2014
  • Objectives : Paemo is a phlegm-resolving drug with cold properties and classified 5 kinds which come from 11 species of original plant. All the more, according to literature record, 20 species of original plant were used. As a natural result, these are easily to confuse and there are a lot of counterfeit product. So we are to present a differential standard of Paemo. Methods : It was planed a differential standard form through outer appearance of the original plant and outer appearance in the form of each medicines which was collected local market or field for 11 species which is listed in Korea or China pharmacopeia. Results : It was possible to distinguish the orignal plant between Fritillaria and Bolbostemma through its stem shape. In Fritillaria of original plant, it was possible to distinguish through its width of leaf, number of leafy bracts, color and position of flower and shape of leaf apex. In outer appearance in the form of each medicines, there are difference in color and texture of medicine between Fritillaria and Bolbostemma and there are difference in size, shape, size of inner and outter fleshy leaf of bulb, pattern of surface and apex of fleshy leaf of bulb among 10 Fritillaria species. Conclusions : This study presents various differences in the outer appearance of the original plant and the outer appearance in the form of each medicines among Paemo. It will be helpful to further applied research.

A Study on Character's Emotional Appearance in Distinction Focused on 3D Animation "Inside Out" (3D 애니메이션 "인사이드 아웃" 분석을 통한 감성별 캐릭터 외형특징 연구)

  • Ahn, Duck-ki;Chung, Jean-Hun
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.361-368
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    • 2017
  • This study analyzes into the characteristic appearance in distintion with emotional changes toward visual forms of psychology along with character development in the 3D animation industry. In this regard, the study seeks to propose essential targets of the five emotional characters from the Pixar's animation Inside-Out to prove psychological effects to the character's visual appearance. As a previous research, the study analysis the visual representations oriented toward both emotional facial expression and emotional color expression using both Paul Ekman and Robert Plutchik's human basic emotion research. The purpose of this study is to present the visual guideline of emotional character's appearance through the various human expression for differentiated character development in animation production.

Quality Characteristics of Onion with Added French Dressing Composed of Different Oils (기름 종류를 달리한 양파 첨가 프렌치 드레싱의 품질특성)

  • Kim, Yu-Li;Lee, Kyung-Hee
    • Journal of the East Asian Society of Dietary Life
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    • v.21 no.5
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    • pp.683-690
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    • 2011
  • This study was carried out to determine the best mixing ratio of French dressing containing onion juice which was added at with different levels (12, 24, 36, and 48%). The mixing methods of ingredients were evaluated through sensory evaluation and viscosity and color of were measured. Instead of soy bean oil, we also studied various oils(corn oil, grape seed oil, canola oil, and olive oil) for the purpose of determining functional French dressing. The results were as follows; The results of the sensory evaluation showed that the French dressing with 36% added with 36% onion juice was the preferred most in appearance, flavor, and overall preference. Correlation coefficients between overall preference and sensory characteristics of onion added French dressing were higher in the order of taste (r=0.64), flavor (r=0.54), texture (r=0.48), appearance (r=0.41). The quality of French dressing varied greatly depending on the mixing methods of ingredients. The best method for making dressing was mixing 5 mL of oil with the other ingredients at 5 seconds intervals. The results of the sensory evaluation on French dressings with added onion juice containing soybean oil, corn oil, grape seed oil, canola oil, and olive oil, indicated that soybean oil was the most preferable. The appearance and taste of French dressing containing soybean oil were significantly the highest with regard to preference.

Appearance Based Object Identification for Mobile Robot Localization in Intelligent Space with Distributed Vision Sensors

  • Jin, TaeSeok;Morioka, Kazuyuki;Hashimoto, Hideki
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.2
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    • pp.165-171
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    • 2004
  • Robots will be able to coexist with humans and support humans effectively in near future. One of the most important aspects in the development of human-friendly robots is to cooperation between humans and robots. In this paper, we proposed a method for multi-object identification in order to achieve such human-centered system and robot localization in intelligent space. The intelligent space is the space where many intelligent devices, such as computers and sensors, are distributed. The Intelligent Space achieves the human centered services by accelerating the physical and psychological interaction between humans and intelligent devices. As an intelligent device of the Intelligent Space, a color CCD camera module, which includes processing and networking part, has been chosen. The Intelligent Space requires functions of identifying and tracking the multiple objects to realize appropriate services to users under the multi-camera environments. In order to achieve seamless tracking and location estimation many camera modules are distributed. They causes some errors about object identification among different camera modules. This paper describes appearance based object representation for the distributed vision system in Intelligent Space to achieve consistent labeling of all objects. Then, we discuss how to learn the object color appearance model and how to achieve the multi-object tracking under occlusions.

Goniometric Image Analysis of Observed Color Change in Dyed Trilobal Cross-section Polyester Monofilament Fabrics

  • Lee, Jung-Min;Kim, Jong-Jun;Jeon, Dong-Won;Ahn, Byung-Tae;Choi, Jung-Im
    • Journal of Fashion Business
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    • v.11 no.6
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    • pp.115-124
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    • 2007
  • The cross-section of the polyester filament yarn has been modified to have a variety of shape for aesthetic, added functions and sensitivities, and other purposes. Transparent polyester filament of trilobal cross-section has unique optical properties with high anisotropic reflectivity and transmissivity. The monofilament yarns may be utilized to impart to the fabrics lustrous appearance along with unique color change in case differently dyed yarns are woven together. The color changes of the fabric specimens according to the changes in observation and lighting conditions were analyzed using a CCD camera and an image analysis software. The changes of color/luster of the fabric specimens were measured and analyzed based on RGB, $L^*a^*b^*,\;L^*C^*h,$ and the color distribution within a three-dimensional color space.

Children's Understanding of the Appearance-Reality Distinction (외양과 실재 간의 구분에 대한 아동의 이해)

  • Park, So Yeon;Rhee, Un Hai
    • Korean Journal of Child Studies
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    • v.17 no.1
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    • pp.289-302
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    • 1996
  • The purpose of the present study was to explore the development of knowledge about the appearance-reality distinction and its relation to children's developing theory of mind. The subjects were 90 children, 15 boys and 15 girls each at the ages of 3, 4, and 5. The performance of the appearance-reality distinction was compared on illusory object, color, pretend event, and picture tasks. The data were collected by individual testing and analyzed by two-way ANOVA with repeated measures. The results showed that there were significant differences between 3-and 4-year-olds in the appearance-reality distinction, while there was no significant difference according to gender or type of tasks. It was also found that children at the age of 3 and 4, committed phenomenism errors more often than intellectual realism errors, while 5 year olds did not show particular differences.

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Study on Visible Diagnosis of Spirit (망신에 대한 연구)

  • Kim Yong Chan;Kang Jung Soo
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.18 no.4
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    • pp.976-981
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    • 2004
  • This study was written in order to help understanding of visible diagnosis of spirit(神). Visible diagnosis of spirit(神) is a very important factor of diagnosis and a first step of visible diagnosis. Spirit(神) is closely connection with appearance(形), so is revealed by appearance(형). If we make a visible diagnosis of spirit(神), we know the prosperousness of energy and the relative seriousness of an illness. Spirit(神) is understood by appearances and movements of patient, and influenced by seasons, lands, human's relationship and the grade of age. Visible diagnosis of spirit(神) is practiced by the observation of movements, appearances, languages, voices, mental condition, color, eye, etc. By visible diagnosis of spirit(神), we can conclude existence or nonexistence of spirit(神), discriminate true spirit(神) from false spirit(神), and diagnose mental diseases. As comparing spirit(神) with appearance(形), we can decide good or bad prognoses.

Study of Total Coordination as Determined by Personality and Appearance-Related Characteristics (성격 유형 및 외모 관련 특성에 따른 토탈 코디네이션 연구)

  • Yeom In-Kyung;Kim Mi-Sook
    • The Research Journal of the Costume Culture
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    • v.12 no.6 s.53
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    • pp.1045-1059
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    • 2004
  • The purpose of the present study was to investigate the total coordination as determined by personality, appearance-related characteristics. Data were collected through a self-administered questionnaire survey from December 18, 2003 to January 13, 2004 from 650 women living in Seoul in the age range of $20{\sim}35$; 500 were used for the data analysis. Data were analyzed by chi-square analysis, ANOVA, descriptive statistics, cluster analysis and Duncan's multiple range test were used. The results showed significant differences in the total coordination behaviors among the groups divided by personality and appearance-related characteristics. Those who had the independent extrovert personality, egg-shaped face or white skin color were most positive with regards to the extent and behaviors of the total coordination.

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Robust appearance feature learning using pixel-wise discrimination for visual tracking

  • Kim, Minji;Kim, Sungchan
    • ETRI Journal
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    • v.41 no.4
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    • pp.483-493
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    • 2019
  • Considering the high dimensions of video sequences, it is often challenging to acquire a sufficient dataset to train the tracking models. From this perspective, we propose to revisit the idea of hand-crafted feature learning to avoid such a requirement from a dataset. The proposed tracking approach is composed of two phases, detection and tracking, according to how severely the appearance of a target changes. The detection phase addresses severe and rapid variations by learning a new appearance model that classifies the pixels into foreground (or target) and background. We further combine the raw pixel features of the color intensity and spatial location with convolutional feature activations for robust target representation. The tracking phase tracks a target by searching for frame regions where the best pixel-level agreement to the model learned from the detection phase is achieved. Our two-phase approach results in efficient and accurate tracking, outperforming recent methods in various challenging cases of target appearance changes.