• 제목/요약/키워드: Value Dissimilarity

검색결과 39건 처리시간 0.029초

RAPD를 이용한 자생 Iris속 식물의 유전적 유연관계 분석 (Analysis of Genetic Relationship of Native Iris species Plants using RAPD)

  • 안영희
    • 한국환경과학회지
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    • 제14권3호
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    • pp.265-269
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    • 2005
  • This study was carried out to provide the basic data for an identifying system for Iris species distributed in Korean market from complete analysing of genetic relationship between three native Iris species and one cultivar bred from the native Iris plant. RAPD analysis of genetic relationship among 4 Irises was possible. According to the RAPD analysis, they were divided into two groups. Among 4 Irises used in this study, Iris laevigata 'Veriegata', Iris laevigata and Iris setosa were classified into the same group since they had many similarities even though the habitat of Iris laevigata in Korean peninsular is restricted mainly in the south and Iris setosa is naturally inhabited in the northern part of Kangwondo. The value for the dissimilarity index of Iris laevigata and Iris laevigata 'Veriegata' was 6.757. The value for the dissimilarity index of Iris laevigata and Iris dichotoma was 95.000, so that they were genetically the farthest among them since the genetic relationship between two species are separated far if the value of the dissimilarity index is close to 100.

경쟁적 심리 분위기와 정보보안 걱정의 영향: 정보보안 가치 차이의 역할 (The Influence of Competitive Psychological Climate and IS Related Anxiety: The Role of IS Related Value Dissimilarity)

  • 황인호
    • 한국전자통신학회논문지
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    • 제18권4호
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    • pp.649-660
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    • 2023
  • 본 연구의 목적은 조직원의 정보보안 준수 활동에 부정적 영향을 주는 조직 환경 조건과 이에 따른 개인의 인식 및 가치 차이의 복합적 영향을 확인하는 것이다. 세부적으로, 연구는 조직 내 성과를 강조하는 경쟁적 심리 분위기가 보안 준수 의도에 부정적 영향을 미치는 과정 중, 정보보안 관련 예측 및 억제 걱정, 그리고 가치차이가 역할을 할 것으로 판단하였으며, 관련 매커니즘을 확인하고자 하였다. 본 연구는 387건의 정보보안 규정을 보유한 조직의 근로자로부터 설문을 확보하였으며, AMOS 22.0과 Process 3.1 패키지를 통해 제기한 연구가설을 검증하였다. 분석 결과, 경쟁적 심리 분위기가 개인의 정보보안에 대한 예측 걱정과 억제 걱정을 높여 보안 준수 의도에 부정적 영향을 주는 것을 확인하였다. 또한, 정보보안 관련 가치 차이가 예측 및 억제 걱정과 상호작용 효과를 가져 준수 의도에 부정적 영향을 주는 것을 확인하였다. 본 연구는 조직 내부의 정보보안 목표 달성을 위해 조직원에게 제공해야 할 정보 및 가치 유형을 제시한 측면에서 실무적 시사점을 가지며, 걱정과 가치 차이의 복합적 영향을 정보보안에 적용한 측면에서 학술적 시사점을 가진다.

이동 무선망을 위한 비유사도 기반 비정상 행위 탐지 방법의 설계 및 평가 (Design and evaluation of a dissimilarity-based anomaly detection method for mobile wireless networks)

  • 이화주;배인한
    • Journal of the Korean Data and Information Science Society
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    • 제20권2호
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    • pp.387-399
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    • 2009
  • 이동 무선망은인증의 절도와 침입에 의해 계속 고통을 받고 있다. 그러한 두 문제 모두 2가지 다른 방법: 오용 탐지 또는 비정상 행위 기반 탐지로 해결될 수 있다. 이 논문에서, 우리는 이동 무선망의 이동 패턴과 같은 정상 행위를 효율적으로 식별할 수 있는 비유사도 기반 방법을 제안한다. 제안하는 알고리즘에서, 정상 프로파일은 이동 무선망에서 이동 사용자들의 정상 이동 패턴으로부터 구축되어진다. 구축된 정상 프로파일로부터, 가중 비유사도 측정으로 비유사도가 계산되어진다. 만일 가중 비유사도 측정치가 시스템 매개변수인 비유사도 임계치보다 크면, 경고 메시지가 발생된다. 제안된 방법의 성능은 모의실험을 통하여 평가되었다. 그 결과, 제안하는 방법의 성능이 비유사도 측정을 사용하는다른 비정상 행위 탐지 방법의 성능 보다 우수함을 알 수 있었다.

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중국 주요 50개 도시의 전자상거래 발전성과에 대한 평가 (Evaluation on Development Performances of E-Commerce for 50 Major Cities in China)

  • 정동빈;왕강
    • 유통과학연구
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    • 제14권1호
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    • pp.67-74
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    • 2016
  • Purpose - In this paper, the degree of similarity and dissimilarity between pairs of 50 major cities in China can be shown on the basis of three evaluation variables(internet businessman index, internet shopping index and e-commerce development index). Dissimilarity distance matrix is used to analyze both similarity and dissimilarity between each fifty city in China by calculating dissimilarity as distance. Higher value signifies higher degree of dissimilarity between two cities. Cluster analysis is exploited to classify 50 cities into a number of different groups such that similar cities are placed in the same group. In addition, multidimensional scaling(MDS) technique can obtain visual representation for exploring the pattern of proximities among 50 major cities in China based on three development performance attributes. Research design, data, and methodology - This research is performed by the 2013 report provided with AliResearch in China(1/1/2013~11/30/2013) and utilized multivariate methods such as dissimilarity distance matrix, cluster analysis and MDS by using CLUSTER, KMEANS, PROXIMITIES and ALSCAL procedures in SPSS 21.0. Results - This research applies two types of cluster analysis and MDS on three development performances based on the 2013 report of Aliresearch. As a result, it is confirmed that grouping is possible by categorizing the types into four clusters which share similar characteristics. MDS is exploited to carry out positioning of both grouped locations of cluster and 50 major cities belonging to each cluster. Since all the values corresponding to Shenzhen, Guangzhou and Hangzhou(which belong to cluster 1 among 50 major cities) are very large, these cities are superior to other cities in all three evaluation attributes. Twelve cities(Beijing, ShangHai, Jinghua, ZhuHai, XiaMen, SuZhou, NanJing, DongWan, ZhangShan, JiaXing, NingBo and FoShan), which belong to cluster 3, are inferior to those of cluster 1 in terms of all three attributes, but they can be expected to be the next e-commerce revolution. The rest of major cities, in particular, which belong to cluster 4 are relatively inferior in all three attributes, so that this automatically evokes creative innovation, which leads to e-commerce development as a whole in China. In terms of internet businessman index, on the other hand, Tainan, Taizhong, and Gaoxiong(which belong to cluster 2) are situated superior to others. However, these three cities are inferior to others in an internet shopping index sense. The rest of major cities, in particular, which belong to cluster 4 are relatively inferior in all three evaluation attributes, so that this automatically evokes innovation and entrepreneurship, which leads to e-commerce development as a whole in China. Conclusions - This study suggests the implications to help e-governmental officers and companies make strategies in both Korea and China. This is expected to give some useful information in understanding the recent situation of e-commerce in China, by looking over development performances of 50 major cities. Therefore, we should develop marketing, branding and communication relevant to online Chinese consumers. One of these efforts will be incentives like loyalty points and coupons that can encourage consumers and building in-house logistics networks.

Longitudinal Variation of Fish Communities in the Geum River, Korea: Application of the Concept of Beta Diversity and Local Uniqueness

  • Kim, Jeong-Hui;Park, Sang-Hyeon;Baek, Seung-Ho;Hong, Donghyun;Jo, Hyunbin
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • 제3권2호
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    • pp.122-128
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    • 2022
  • To present the spatial variation of fish assemblages in the Geum River in Korea, the concept of beta diversity (β-diversity) estimates based on the variance of the community data table was applied. Fish communities and environmental variables were collected from 13 sampling sites along the in mid-low reaches of the River. We calculated the β-diversity and local contribution to beta diversity (LCBD) values at each site depending on the two types of data, 'occurrence' with Jaccard and Sørensen dissimilarity coefficients, and 'abundance' with Hellinger distance. Multivariate and correlation analyses were also performed to determine the relationships between LCBD and other variables, such as community indices and physicochemical and hydrological factors. The β-diversity values of fish communities in the River were estimated as 0.218 and 0.145 for occurrence data table with Jaccard and Sørensen respectively, and 0.268 for abundance data. Similar patterns of LCBD along the sampling sites were detected in two dissimilarity measurements of occurrence table, and LCBD values with abundance data were slightly different. The LCBD values are strongly correlated with community indices, and also suitable for indicating the uniqueness of fish assemblages. However, further research is needed to determine the LCBD value as an indicator of environmental variability.

Analysis of Genetic Relationship Among Native Pears Grown in Korea and Several Commercially Developed Cultivars from Two Pyrus Species Based on RAPD Analysis

  • Cho, Dong-Wook;Oh, Jin-Pyo;Chung, Kyu-Hwan
    • 한국자원식물학회지
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    • 제20권6호
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    • pp.563-569
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    • 2007
  • RAPD analysis showed that all the OTUs of 'Sandolbae' were the same species because amplified band patterns of all samples generated by each of 5 random primers were identical. Even though there were different environmental conditions, all the "Chuiangne" trees from three different places were the same species, and also all the "Cheongshilli" trees were the same species too. No genetic variations were detected between native Korean pears grown in the habitats and in the research field. Because 212 polymorphic bands were generated by 9 primers selected through primer screening, they were possible to analyze genetic relationship among naturally growing three native Korean pears and nine cultivars of Pyrus pyrifolia and P. communis. Based on the RAPD analysis, three main groups were formed. The first group represented the Six P. pyrifoia cultivars, the second group was the three native Korean pears, and the last group was the three P. communis cultivars. Genetic distance between 'Wonwhang' and 'Chojuro' was closer than other cultivars in group 1 since dissimilarity index value between these two cultivars was 50.82. However, genetic distance between 'Niitaka' and 'Chojuro' was the most distant compared to the others in group 1. In group 2, 'Sandlobae' was genetically closer to 'Chuiangne' than 'Cheongshilli' because dissimilarity index value between 'Sandlobae' and 'Chuiangne' was smaller, 50.82, than the value between 'Sandlobae' and 'Cheongshilli', 63.636. In group 3, 'Old Home' was genetically closer to 'Bartlett' than 'Kaiser Alexander(or Bosc)'. Group 3 composed of P. communis cultivars was genetically further than other two groups, P. pyrifolia cultivars and native Korean pears.

DEA를 이용한 의사결정단위의 클러스터링 (Clustering of Decision Making Units using DEA)

  • 김경택
    • 산업경영시스템학회지
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    • 제37권4호
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    • pp.239-244
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    • 2014
  • The conventional clustering approaches are mostly based on minimizing total dissimilarity of input and output. However, the clustering approach may not be helpful in some cases of clustering decision making units (DMUs) with production feature converting multiple inputs into multiple outputs because it does not care converting functions. Data envelopment analysis (DEA) has been widely applied for efficiency estimation of such DMUs since it has non-parametric characteristics. We propose a new clustering method to identify groups of DMUs that are similar in terms of their input-output profiles. A real world example is given to explain the use and effectiveness of the proposed method. And we calculate similarity value between its result and the result of a conventional clustering method applied to the example. After the efficiency value was added to input of K-means algorithm, we calculate new similarity value and compare it with the previous one.

집단지성 발현의 선행요인 검토 (An Examination of Preconditions for the Creation of Collective Intelligence)

  • 추철호;류수영
    • 지식경영연구
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    • 제23권3호
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    • pp.213-229
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    • 2022
  • 본 연구는 기존 연구들에서 언급된 집단지성 발현의 선행요인들을 검증함으로써 관련분야 발전에 기여하는 것을 연구 목적으로 한다. 이를 위해 집단지성 발현의 선행요건으로 과업의 복잡성과 의미성, 다양성, 경험에 대한 개방성, 커뮤니케이션 독립성, 의사결정의 분권화, ICT(Information and Communication Technologies) 활용을 검토하였다. 연구가설 검증을 위해 연구개발 사업부에 속한 구성원을 대상으로 200부의 설문지를 배포하였고, 회수된 198부 중에서 불성실한 13개를 제외한 185개의 데이터를 최종 분석하였다. 분석결과, 과업의 의미성, 경험에 대한 개방성, 의사결정 분권화, ICT활용이 각각 집단지성 발현에 긍정적인 영향을 미치는 것을 확인하였다. 그리고 지각된 비유사성과 가치 다양성은 각각 집단지성 발현에 부정적인 영향을 미쳤으며, 모든 변수들을 함께 고려했을 때, ICT 활용, 과업의 의미, 경험에 대한 개방성, 인지된 비유사성과 가치 다양성 순서로 집단지성 발현에 영향을 미치는 것을 발견하였다. 본 연구결과의 이론 및 실무적 시사점은 토의부분에서 자세히 분석하였다.

Studies for the osmotic parameter of liposomes

  • Yu, Byung-Sul;Seo, Weon-Gyo;Jeon, Young-Ho
    • Archives of Pharmacal Research
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    • 제10권2호
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    • pp.94-99
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    • 1987
  • By using the former equation (8), we modified the equation which can show the dissimilar osmotic behavior of liposome with composition change. The slope of the new equation was presented as the ratio of osmotically active volume (V$_{act}$= ) to the total volume (V$_{totel}$= $_{acl}$+ V$_{dead}$ ; V$_{dead}$ is osmotically inactive volume) of loposomes, we defined is as a Z-value, which can elucidate the dissimilarity of the osmotic activity of multilamellar liposomes with the change of phospholipid composition and the differences of physicochemical properties of liposomes. Z-value was applied for studying the physico-chemical properties of liposomal membrane. The factor that affects on the Z-value was not the lipid concentration of liposome stock dispersion but the lipid composition of liposomal membrane. As the content of dicetylphosphate, the negative charged phospholipid, was increased, the osmotic activity, represented by Z-value, of multilamellar liposome was decreased. Using the hypertonic conditions (shrinking region), Z-value steadily increased and reached a maximum at 10 mole percent cholesterol with increasing the cholesterol content.

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응집력 척도를 활용한 계층별-조결합군락화 기법의 개발 (Development of the Combinatorial Agglomerative Hierarchical Clustering Method Using the Measure of Cohesion)

  • 정현태;최인수
    • 품질경영학회지
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    • 제18권1호
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    • pp.48-54
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    • 1990
  • The purpose of this study is to design effective working systems which adapt to change in human needs by developing an method which forms into optimal groups using the measure of cohesion. Two main results can be derived from the study as follows : First, the clustering method based on the entropic measure of cohesion is predominant with respect to any other methods proposed in designing the work groups, since this clustering criterion includes symmetrical relations of total work groups and the dissimilarity as well as the similarity relations of predicate value, the clustering method based on this criterion is suitable for designing the new work structure. Second, total work group is clustered as the workers who have the equal predicate value and then clustering results are produced through the combinatorial agglomerative hierarchical clustering method. This clustering method present more economic results than the method that clustering the total work group do.

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