• Korean Journal of Plant Resources
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• v.32 no.4
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• pp.303-311
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• 2019

Various colors of fruit skin and flesh are the most popular commercial criteria for peach classification. In order to breed new red-fleshed peach cultivar, many cross seedlings and generations should be maintained. Therefore it is necessary to develop early selection markers to screen seedlings with target traits to increase breeding efficiency. For the comparison of transcription profiles in peach cultivars differing in flesh color expression, two cDNA libraries were constructed. Differences in gene expression between red-fleshed peach cultivar, 'Josanghyeoldo' and white-fleshed peach cultivar, 'Mibaekdo' were analyzed by next-generation sequencing (NGS). Expressed sequence tag (EST) of clones from the two cultivars were selected for nucleotide sequence determination and homology searches. Putative single nucleotide polymorphisms (SNP) were screened from peach EST contigs by high resolution melting (HRM) analysis displayed specific difference between 8 red-fleshed peach cultivars and 24 white-fleshed peach cultivars. All 72 pairs of SNPs were discriminated and the HRM profiles of amplicons were established. In the study reported here, the development of SNP markers for distinguishing between red and white fleshed peach cultivars by HRM analysis offers the opportunity to use DNA markers. This SNP marker could be useful for peach marker assisted breeding and provide a good reference for relevant research on molecular mechanisms of color variation in peach cultivars.

• Korean Journal of Plant Resources
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• v.34 no.5
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• pp.443-450
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• 2021

Peach flesh color is commercially important criteria for classification and has implications for nutritional quality. To breed new yellow-fleshed peach cultivar many cross seedlings and generations should be maintained. Therefore it is necessary to develop early selection molecular markers for screening cross seedlings and germplasm with economically important traits to increase breeding efficiency. For the comparison of transcription profiles in peach varieties with a different flesh color expression, two cDNA libraries were constructed. Differences in gene expression between yellow-fleshed peach cultivar, 'Changhowon Hwangdo' and white-fleshed peach cultivar, 'Mibaekdo' were analyzed by next-generation sequencing (NGS). Expressed sequence tag (EST) of clones from the two varieties was selected for nucleotide sequence determination and homology searches. Putative single nucleotide polymorphisms (SNPs) were screened from peach EST contigs by high resolution melting (HRM) analysis, SNP ID ppa002847m:cds and ppa002540m:cds displayed specific difference between 17 yellow-fleshed and 21 white-fleshed peach varieties. The SNP markers for distinguishing yellow and white fleshed peach varieties by HRM analysis offers the opportunity to use early selection. This SNP markers could be useful for marker assisted breeding and provide a good reference for relevant research on molecular mechanisms of color variation in peach varieties.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.12a
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• pp.57-57
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• 2020

본 연구는 국내 자생 방향성 식물의 자원발굴과 증식, DB 구축을 위하여 수행되었다. 배초향은 꿀풀과에 속하는 다년생 식물로 대표적인 한국의 방향식물이다. 한의학에서는 배초향의 지상부를 곽향이라 하여 음식으로 인한 체증, 오한, 복통 등을 치료하는 한약재로 사용되며 그 밖의 관상용, 밀원용, 식품용, 향신료 등 다양한 산업제품의 원료로 사용되고 있다. 배초향의 유전형질 특성 및 정유성분 조사를 위하여 국립농업유전자원센터로부터 배초향 종자(30자원)를 분양받아 발아시킨 후 시험연구포장에 증식하였다. 증식된 배초향을 대상으로 개화기, 식물 및 꽃의 색, 잎의 모양 등 개체별 형질특성을 조사하였으며 일정시기에 일시 수확하여 정유추출 후 GC/MS 분석을 통하여 정유의 화학성분을 분석하였다. 배초향의 개화시기는 6월 10일 경~7월 29일 경이었고 초장은 약 80cm~186cm이었다. 잎의 모양은 30자원 중 광난형 12자원, 피침형 10자원, 난형 8자원의 분포였고 식물체의 색은 green과 red-purple 계열이 각각 22자원과 8자원이었다. 배초향 꽃의 색깔은 RHS Colour chart 참조하여 149P 10P 8/4, 129B 10P 7/8, 37V 2.5RP 4/12의 색으로 분류하여 조사하였다. 129B 10P 7/8에 해당하는 자원이 18자원으로 가장 많은 분포를 차지하였다. 배초향의 정유성분 분석 결과, 정유수율은 0.11%~0.44%이었고 정유성분은 estragole, methyl eugenol, menthone 등이었다. 배초향의 주성분으로 알려진 estragole은 30자원 중 13자원의 주요정유성분인 것으로 나타났다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.9-14
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• 2024

Hue, value, and chroma are the fundamental colour components used in colour property research to identify colour in the digital media environment. In the Munsell colour system, which is based on the characteristics of visual perception, the basic properties are classified into hue, value, and chroma. The methods for recording these three properties can be divided into the colour appearance system and the colour mixing system: in the former, they are documented based on a colour chart that focuses on visual perception, and in the latter, accurate numerical records are kept without concern for discolouration. Colour terminology is crucial for conveying and expressing colours, and colours can be classified and defined according to the combination of hue, value, and chroma. With the development of various media, it has become possible to represent a range of colours previously unachievable, necessitating basic research into the characteristics of colour perception by further subdividing digital-oriented colour studies. In this study, we conducted psychophysical experiments to identify and analyse the categories of value and chroma needed to recognise each colour among the ten representative colours of the Munsell colour system, based on visual perception on a display. This study analyses the results of these experiments, defines their significance as foundational research data on colour perception characteristics, and suggests directions for future research.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.157-177
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• 2008

Even in a single day, an enormous amount of content including digital videos, posts, photographs, and wikis are generated on the web. It's getting more difficult to recommend to a user what he/she prefers among these contents because of the difficulty of automatically grasping of content's meanings. CF (Collaborative Filtering) is one of useful methods to recommend proper content to a user under these situations because the filtering process is only based on historical information about whether or not a target user has preferred an item before. Collaborative Tagging is the process that allows many users to annotate content with descriptive tags. Recommendation using tags can partially improve, such as the limitations of CF, the sparsity and cold-start problem. In this research, a CF method with user-created tags is proposed. Collaborative tagging is employed to grasp and filter users' preferences for items. Empirical demonstrations using real dataset from del.icio.us show that our algorithm obtains improved performance, compared with existing works.

• Food Science and Preservation
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• v.17 no.3
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• pp.370-375
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• 2010

Cherries (Prunus avium L) were selected at the light red (LR) and dark red (DR) stages of maturation. Soluble solid content and the physicochemical properties of fresh 'Bing' cherries were analyzed to identify an instrumental nondestructive attribute reflecting changes in sweetness. Soluble solid content was significantly correlated with various physicochemical properties (firmness, color, and acid level) in LR-stage cherries. In DR-stage cherries, only firmness was positively correlated with soluble solid content. A positive correlation was found between soluble solid content and firmness of 200 randomly selected cherries. Thus, flesh firmness may be a useful quality factor indicating potential consumer acceptance of 'Bing' cherries.

• Journal of the Korean Society for information Management
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• v.32 no.3
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• pp.277-293
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• 2015

This study examined the relative retrieval effectiveness after relevance feedback between two systems (Title/Abstract and Full-text) using four different sets of relevance judgment. Four relevance levels (not relevant, marginally relevant, relevant, highly relevant) are also used, each of which is determined by referees giving a relevance score to documents. This study also investigated how much the average precision was improved after relevance feedback when "marginally relevant" documents are included in the relevant class with the Title/Abstract system, and with the Full-text retrieval system as well. It is found that the Title/Abstract system benefited from relevance feedback with the marginally relevant documents. In case of the Title/Abstract system, the higher percentage of improvement was consistently obtained when including the marginally relevant documents in the relevance class, however the result was vice versa in case of the Full-text retrieval system. It implied that the marginally relevant documents in the relevant class had caused noises in the Full-text retrieval system.

• Asian Journal of Turfgrass Science
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• v.24 no.2
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• pp.88-96
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• 2010

Zoysiagrass, especially Jungji implicating medium-leaf type zoysiagrass has been widely used in South Korea recently. This study was carried out to classify 36 selected medium-leaf type zoysiagrass accessions compared to 5 basic zoysiagrass species using RAPDs. Morphological characteristics such as leaf width, leaf angle, leaf sheath length, existance of trichomes and stolon color were measured as useful characteristics for identification of species in Zoysia genus. Nineteen RAPD markers were identified using 8 selected random primers. The dissimilarity coefficient of variants ranged from 0 to 0.736. Three zoysiagrass groups were clustered by dissimilarity coefficient analysis. Group 1 consisted of Z. japonica and some US varieties including 'Zenith' and 'Meyer'. Group 2 consisted of Z. sinica, Z. macrostachya and Korean commercial varieties such as 'Anyang', 'Samdeock', and 'Pyeongdong' medium-leaf type grasses. Group 3 was genetically distinct from Group 1 and Group 2, and included Z. matrella and Z. tenuifolia. 'Anyang', 'Samdeock', and 'Pyeongdong' medium-leaf type zoysiagrasses showed very close genetic relationship with Z. sinica and Z. macrostachya.

• Journal of the Korean Society for information Management
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• v.20 no.3
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• pp.277-297
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• 2003

This study was conducted upon the premise that index terms display the intellectual structure of a specific subject field. In this study, and attempt was made to grasp the intellectual structure of Library and Information. Science by clustering the index terms of the journals of the related academic societies at the Library of National Assembly - such as the Journal of the Korean Society for Information Management, the Journal of the Korean Library and Information Science Society, and the Journal of the Korean Society for Library and Information Science. Through the course of the study, index term clusters were generated based on the linkage of the index terms and the frequency of co-occurrence, and moreover, time periods analysis was conducted along with studies on first-appearing terms, in order to clarify the trend and development process of the Library and Information Science. This study also analysed the difference between two intellectual structure by comparing the structure generated by index term clusters with the existing structure of traditional classification systems.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.268-273
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• 2008

This work defines user intention according to intention range, and also proposes an interactive sound installation which reflects and varies above features. User intention consists of several decomposition concepts, which are elemental intentions, partial intentions, and a universal intention. And also, each concept is defined as inclusion/affiliation relationship with other concepts. For the representation of elemental intention, we implemented an musical interface, Color note, which represents the colors and notes according to response of participants. We also propose Harmonic Defragmentation (HD), which arranges the partial intentions with harmonic rule. Finally, the universal intention is inferred to the comprehensive direction of elemental intentions. We used Karhunen-Lo$\`{e}$ve(K-L) Transform for the inference. For verifying the validity of our proposed interface, the "Color Note," and the various techniques, we installed our work and surveyed various users for the evaluation of HD and statistical techniques. Also, we commissioned another survey to find out satisfaction measurement which was used for expressing universal intention.