• Title/Summary/Keyword: seed analysis

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Analysis of the Passive Design Application Status for the Improvement of G-SEED (G-SEED 개선을 위한 패시브디자인 적용현황 분석)

  • Kim, Hye-Won;Tae, Choon-Seob;Kim, Jun-Tae
    • Journal of the Korean Solar Energy Society
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    • v.35 no.6
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    • pp.35-42
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    • 2015
  • The proper use of the passive and active design elements are important for the realization of green buildings. The G-SEED (Green Standard for Energy and Environmental Design) has been implemented in Korea to promote green building construction reflecting these design elements. In this paper, evaluation items of G-SEED which related to the passive design were selected. And improvement direction for the G-SEED was proposed through the analysis of the application status of the passive design elements for the G-SEED certified buildings. This results can be used for developing study on the future improvement of the assessment criteria of G-SEED.

A Comparison Analysis on the Sales Price of Apartments according to G-SEED by Using T-test (T-test분석을 통한 녹색건축인증 유무에 따른 공동주택의 매매가격 비교 분석)

  • Jeon, Sang-Sub;Son, Ki-Young;Lee, Joo-Hyeong;Oh, Jun-Seok;Son, Seung-Hyun
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.11a
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    • pp.207-208
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    • 2019
  • Currently, as the public interest for environmental issues has grown rapidly, the needs for G-SEED have also increased. However, as investment according to eco-friendly elements is inevitable to receive G-SEED certification, it is necessary to find out whether or not the sales price of apartments have increased compared to investment costs. Therefore, the objective of this study is to analyze the sales price of apartments according to G-SEED by using T-test. To achieve the objective, First, variables affecting on the sales price of apartments are selected. Second, the data are collected by using GIS(Geographic Information System). Third, after testing the normality, a comparison analysis is conducted on the sales price between G-SEED certified and non-certified apartments by using T-test. As a result, it is concluded that G-SEED certified apartments are more expensive than non-certified apartments. In the future, these findings can be utilized to develop of apartments price calculation model based on the G-SEED.

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Yield and Seed Quality as Affected by Water Deficit at Different Reproductive Growth Stages in Soybean

  • Kim, Wook-Han;Hong, Byung-Hee;Kim, Seok-Dong
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.44 no.4
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    • pp.321-329
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    • 1999
  • The effect of water deficits on soybean [Glycine max (L.) Merr.] could appear on seed quality through changes of morphological plant characteristics. Two Korean genotypes, Hwangkeum (determinate growth habit) and Muhan (indeterminate growth habit), were used to examine the influences of treatment stage and method of water deficit during reproductive growth period on yield and seed quality of soybean. Water deficit at R5 or R6 stages was as damaging to seed quality as double water-deficit treatments at R2+R5 or R2+R6. However, seed from double water-deficit treatment tended to have lower oxidation-reduction potential compare to the corresponding single water-deficit treatment. In comparison with Muhan, Hwangkeum had significantly greater oxidation-reduction potential value. Seed yield per plant in both genotypes depended greatly on seed yield of branches. However, the proportion of number of branch seed to total seed umber in Hwangkeum was increased as the water deficit was applied during later reproductive stage, whereas, in Muhan the proportion was lower. Water-deficit treatments including the single and double water-deficit treatments and non-stressed treatment were able to be classified into five groups for Hwangkeum and four groups for Muhan based on the influences on yield components, number of pod, number of seed, and single seed weight, using principal component analysis. In both genotypes, R2+R5 water-deficit treatment decreased number of pod and seed, but increased single seed weight. On the contrary, R6 or R2+R6 stress increased the pod and seed number, but decreased single seed weight.

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Analysis on Vulnerability of Masked SEED Algorithm (마스킹 기법이 적용된 SEED 알고리즘에 대한 취약점 분석)

  • Kim, TaeWon;Chang, Nam Su
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.4
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    • pp.739-747
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    • 2015
  • Masking technique that is most widely known as countermeasure against power analysis attack prevents leakage for sensitive information during the implementations of cryptography algorithm. it have been studied extensively until now applied on block cipher algorithms. Masking countermeasure have been applied to international standard SEED algorithm. Masked SEED algorithm proposed by Cho et al, not only protects against first order power analysis attacks but also efficient by reducing the execution of Arithmetic to Boolean converting function. In this paper, we analyze the vulnerability of Cho's algorithm against first order power analysis attacks. We targeted additional pre-computation to improve the efficiency in order to recover the random mask value being exploited in first order power analysis attacks. We describe weakness by considering both theoretical and practical aspects and are expecting to apply on every device equipped with cho's algorithm using the proposed attack method.

Extracting Multiword Sentiment Expressions by Using a Domain-Specific Corpus and a Seed Lexicon

  • Lee, Kong-Joo;Kim, Jee-Eun;Yun, Bo-Hyun
    • ETRI Journal
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    • v.35 no.5
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    • pp.838-848
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    • 2013
  • This paper presents a novel approach to automatically generate Korean multiword sentiment expressions by using a seed sentiment lexicon and a large-scale domain-specific corpus. A multiword sentiment expression consists of a seed sentiment word and its contextual words occurring adjacent to the seed word. The multiword sentiment expressions that are the focus of our study have a different polarity from that of the seed sentiment word. The automatically extracted multiword sentiment expressions show that 1) the contextual words should be defined as a part of a multiword sentiment expression in addition to their corresponding seed sentiment word, 2) the identified multiword sentiment expressions contain various indicators for polarity shift that have rarely been recognized before, and 3) the newly recognized shifters contribute to assigning a more accurate polarity value. The empirical result shows that the proposed approach achieves improved performance of the sentiment analysis system that uses an automatically generated lexicon.

Comparison of Antioxidant and Functional Compounds in Korean Conventional and Chinese Seed Ginger (Zingiber officinale Roscoe) Following Steam Treatment (증숙처리에 따른 재래생강 및 중국종자생강의 항산화 및 기능성물질 비교)

  • Su-Jin Kim;Jong-Sin Kim;Min-Ji Kim;Ji-Yeon Kang;Hyeon-Jeong Choi;So-Yeon Kim;Ha-Euu Lee;Tae-Hyuk Kwon;Mee-Sook Kang
    • Journal of Food Hygiene and Safety
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    • v.38 no.4
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    • pp.264-272
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    • 2023
  • The aim of this study was to compare the antioxidant activities and functional contents of Korean conventional and Chinese seed gingers from the Jeollabuk-do Wanju and Chungcheongnam-do Seosan regions. Ginger samples were subjected to steaming treatments for different durations (2-8 h) at 121℃ using an autoclave. The antioxidant activity was evaluated by measuring total polyphenol and flavonoid contents and ABTS and DPPH radical scavenging activities, while functional ingredient contents were analyzed for gingerols and shogaols. The results showed that Wanju conventional seed ginger (WO-2) had the highest total polyphenol (85.24 mg GAE/g) and flavonoid (98.14 RE/100 g) contents, surpassing that of the control in all steamed groups at 6 h. ABTS radical scavenging activity showed a strong correlation with total polyphenol and flavonoid contents. The control groups indicated that Korean conventional seed ginger had 1.0-1.3 times higher gingerol contents compared to Chinese seed ginger. Furthermore, the content of shogaols, considered major functional ingredients, increased significantly with longer steaming durations, reaching the highest content (1,793 mg/kg) at 8 h, which was 1.0-1.8 times higher in Korean conventional seed ginger than that in Chinese seed ginger. These experiments provide valuable data supporting the excellence of Korean conventional seed ginger in the future.

Multivariate Analysis of Agronomic Characteristics of Wheat (Triticum spp.) Germplasm

  • Pilmo Sung;Mesfin Haile Kebede;Seung-Bum Lee;Eunae Yoo;Gyu-Taek Cho;Nayoung Ro
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.303-303
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    • 2022
  • The purpose of this study was to evaluate agronomic characteristics and identify the useful traits to utilize the wheat genetic resources for breeding programs by understanding the phenotypic variation among germplasm through multivariate analysis. In this study, a total of 394 wheat accessions were characterized for 15 agronomic traits using the National Agrobiodiversity Center (NAC) descriptor list, of which 31 accessions from 6 species and 363 unidentified accession (Triticum spp.) available at the NAC, Rural Development Administration (RDA), Korea. Growth characteristics such as leaf width, culm length, spike length, spikelet length, solid stemmed, days to heading, days to maturity, grain-filing period, and also seed characteristics such as width, height, area, perimeter, circle, solidity, and germination percent were studied. Among the 15 agronomic characteristics, the germination percent showed the smallest variation between resources (CV = 0.4%), and the spikelet length (CV = 66.5%) showed the highest variation. A strong positive correlation was found between seed traits such as seed height and seed area (r = 0.90), seed height and seed perimeter (r = 0.87) and seed length and width (r = 0.80). Principal component analysis (PCA) was conducted and the first five principal components comprised 76.7% of the total variance. Among the first five PCs, PCI accounted for 28.5% and PC2 for 20.0%. Wheat resources (394) were classified into four clusters based on cluster analysis, consisting of 215 resources(I), 117 resources(II), 48 resources(III), and 14 resources(IV). Among the clusters, the resources belonging to Cluster III showed the lowest seed width, height, area, and perimeter characteristics compared to other clusters. The wheat resources belonging to cluster IV had small seed width and low germination percent, but took longer to form heads and mature than resources in other clusters. These results will serve as the basis for further genetic diversity studies, and important agronomic characteristics will be used for improving wheat, including developing high-yielding and resistant varieties to biotic and abiotic stresses via breeding programs.

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Measuring Technical and Scale Efficiencies of Korean Seed Companies -On the Outset of Establishing the Center for Private Seed Companies- (국내 육종업체의 기술 및 규모효율성 분석 -민간육종연구단지 조성을 계기로-)

  • Gim, Uhn-Soon;Choi, Se-Hyun;Cho, Jae-Hwan;Jung, Yong-Gwan;Lah, Jung-Hyun
    • Korean Journal of Organic Agriculture
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    • v.22 no.1
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    • pp.1-23
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    • 2014
  • The purpose of this paper was to measure technical efficiencies and scale efficiencies of Korean seed industry by DEA method, and to identify the factors affecting the efficiencies by Tobit regression model. Survey data of 50 seed companies nationwide were applied for the analysis. The average score of overall technical efficiency for the surveyed companies in 2012 was 0.44, which is decomposed into pure technical efficiency 0.68 and scale efficiency 0.63. A majority of the seed companies exhibited at least one form of inefficiency except a few companies in optimal scale. It was also shown the most companies were operating in the stage of increasing returns to scale, which implies Korean seed companies are mainly in smaller scale than optimal. Additional results suggest that the Center for Private Seed Companies, which will be established at Gimje in 2015, plays an important role to make domestic seed companies improve their scale efficiency as well as pure technical efficiency by way of enlarging their size and co-using the high technology in the Center.

Gene Expression Data Analysis Using Seed Clustering (시드 클러스터링 방법에 의한 유전자 발현 데이터 분석)

  • Shin Myoung
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.42 no.1
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    • pp.1-7
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    • 2005
  • Cluster analysis of microarray data has been often used to find biologically relevant Broups of genes based on their expression levels. Since many functionally related genes tend to be co-expressed, by identifying groups of genes with similar expression profiles, the functionalities of unknown genes can be inferred from those of known genes in the same group. In this Paper we address a novel clustering approach, called seed clustering, and investigate its applicability for microarray data analysis. In the seed clustering method, seed genes are first extracted by computational analysis of their expression profiles and then clusters are generated by taking the seed genes as prototype vectors for target clusters. Since it has strong mathematical foundations, the seed clustering method produces the stable and consistent results in a systematic way. Also, our empirical results indicate that the automatically extracted seed genes are well representative of potential clusters hidden in the data, and that its performance is favorable compared to current approaches.