• Asian Journal of Business Environment
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• 제7권1호
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• pp.25-29
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• 2017

Purpose - In this paper, we categorize and segment the 28 national universities in South Korea and measure the degree of dissimilarity (or similarity) between pairs of ones by using dissimilarity distance matrix and cluster analysis, respectively, based on the seven quantitative evaluation of educational conditions (percentage of small-scale courses, percentage of lecture by the faculty, collection of books per student, material purchase per student, percentage of building capacity, percentage of real estate capacity and rate of accommodation) in 2015. In addition, multidimensional scaling (MDS) techniques can obtain visual representation for exploring patterns of proximities among 28 national universities based on seven attributes of educational conditions. Research design, data, and methodology - This work is carried out by the 2015 Announcement of University Information, which is provided by Ministry of Education in South Korea and utilized by multivariate analyses with CLUSTER, PROXIMITIES and ALSCAL modules in IBM SPSS 23.0. Results - We make certain that 28 national universities can be categorized into five clusters which have similar traits by applying two-stage cluster analysis. MDS is utilized to perform positioning of grouped places of cluster and 28 national universities joining every cluster. Conclusions - Both types and traits of each national university can be relatively assessed and practically utilized for each university competitiveness based on underlying results.

• 한국산림과학회지
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• 제21권1호
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• pp.47-51
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• 1974

전자계산조직(電子計算組織)과 수치분석(數値分析)에 의(依)하여 참나무 기본종간(基本種間)의 유연관계(類緣關係)를 증명하고자 non-metric coefficient 식(式)을 적용(適用)하며 UNiVAC-1106으로 처리(處理)하였다. 연구결과(硏究結果)는 이창복교수(李昌福敎授)의 논문결과(論文結果)와 일치(一致)하고 있으나, 필자(筆者)의 연구(硏究)에서는 이들 유연관계(類緣關係)가 수량적(數量的)으로 재증명(再證明)된 것이고 수상형분류(樹狀型分類)에 의거하면 참나무 기본종중(基本種中) 떡갈나무는 유연관계(類緣關係)가 가장 멀게 나타나고 있음을 밝혔다.

• Asian Journal of Business Environment
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• 제11권3호
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• pp.21-32
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• 2021

Purpose: Research aims to analyze the influence of ICT on regional economic growth in Indonesia Provinces are grouped using Klassen's typology, which divides four quadrants based on economic growth and GRDP per capita. Considering similarity characteristics, four typology categories are finally simplified into two named categories: the "rapidly developed and growing" region and the "relatively lagged" region. Research design, data and methodology: The study uses panel data of 33 provinces in Indonesia from 2012 to 2018. It employs panel regression analysis to determine the impact of ICT on the regional economic growth of both regions. Results: The study reveals the percentage of households that own computer and the percentage of households who have accessed the internet in the last three months have a positive and significant influence on the GRDP per capita in the "relatively lagged" region. Meanwhile, mean years of schooling has a positive and significant impact on both regions. Conclusions: In the "rapidly developed and growing" region, only mean years of schooling has a positive and significant effect on GRDP per capita, whilst in the "relatively lagged" region, percentage of households that own computer, percentage of households who have accessed the internet in the last three months, and mean years of schooling have a positive and significant impact on GRDP per capita in Indonesia.

• 한국환경생태학회지
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• 제15권4호
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• pp.394-400
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• 2002

무작위표본추출법에 의한 산림군집구조 조사시 교목층과 관목층의 적정 조사구수를 파악하기 위하여 혼효율이 비교적 높은 구룡산 상금정계곡 활엽수혼효림군집의 교목층과 관목층을 대상으로 각각 10m$\times$10m, 5m$\times$5m 크기의 조사구를 15개씩 설치한 후 종수-면적 곡선, performance curve 등을 적용하였다. 종수-면적 곡선에의한 교목층의 적정 조사구수는 일반적인 수준에서 5개 이상이었으며, 보다 정확성을 요구할 경우 10개 이상이었다. 교목층의 상대중요치에 의한 performance curve를 작성한 결과 조사구수 4개 이상에서 우점종과 준우점종의 구분이 뚜렷해지며, 조사구수 8개 이상에서는 준우점종의 순위가 일정한 경향이었다 교목충의 종다양도는 조사구수 7개 이상에서 비교적 일정한 경향을 보였으며 조사군집을 대표한다고 할 수 있는 전체 조사구수 15개의 종다양도와 0.05 이내의 차이를 보였다. 교목층 전체 조사구수와의 유사도지수는 조사구수 5개 이상에서 80% 이상, 9개 이상에서 90% 이상이었다 관목층의 경우, 종수-면적 곡선에 의한 적정 조사구수는 일반적인 수준에서 5개 이상이었으며, 보다 정확성을 요구할 경우 12개 이상이었다. 관목충의 상대중요치에 의한 performance curve를 작성한 결과 조사구수 4개 이상에서 우점종과 준우점종의 구분이 뚜렷하였으며, 조사구수 13개 이상에서는 준우점종의 순위가 일정한 경향으로 유지되었다. 관목층 종다양도는 조사구수 6개 이상에서 비교적 일정한 경향을 보였으며, 조사군집을 대표한다고 할 수 있는 전체 조사구수 15개의 종다양도와 0.05이내의 차이를 보였다. 관목층 전체 조사구와의 유사도지수는 조사구수 5개 이상에서 80%, 9개 이상에서 90% 이상이었다. 이상을 종합하면, 우점종과 준우점종이 구분되는 일반적인 수준의 적정 조사구수는 교목층과 관목층 모두 대체로 5개, 준우점종 내에서의 순위까지 구분되는 보다 정화겅을 요구하는 수준의 적정 조사구수는 교목층 10개, 관목층 13개 정도이었다.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.163-177
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• 2024

The fingerprint image quality relies on the clearness of separated ridges by valleys and the uniformity of the separation. The condition of skin still dominate the overall quality of the fingerprint. However, the identification performance of such system is very sensitive to the quality of the captured fingerprint image. Fingerprint image quality analysis and enhancement are useful in improving the performance of fingerprint identification systems. A fuzzy technique is introduced in this paper for both fingerprint image quality analysis and enhancement. First, the quality analysis is performed by extracting four features from a fingerprint image which are the local clarity score (LCS), global clarity score (GCS), ridge_valley thickness ratio (RVTR), and the Global Contrast Factor (GCF). A fuzzy logic technique that uses Mamdani fuzzy rule model is designed. The fuzzy inference system is able to analyse and determinate the fingerprint image type (oily, dry or neutral) based on the extracted feature values and the fuzzy inference rules. The percentages of the test fuzzy inference system for each type is as follow: For dry fingerprint the percentage is 81.33, for oily the percentage is 54.75, and for neutral the percentage is 68.48. Secondly, a fuzzy morphology is applied to enhance the dry and oily fingerprint images. The fuzzy morphology method improves the quality of a fingerprint image, thus improving the performance of the fingerprint identification system significantly. All experimental work which was done for both quality analysis and image enhancement was done using the DB_ITS_2009 database which is a private database collected by the department of electrical engineering, institute of technology Sepuluh Nopember Surabaya, Indonesia. The performance evaluation was done using the Feature Similarity index (FSIM). Where the FSIM is an image quality assessment (IQA) metric, which uses computational models to measure the image quality consistently with subjective evaluations. The new proposed system outperformed the classical system by 900% for the dry fingerprint images and 14% for the oily fingerprint images.

• Asian-Australasian Journal of Animal Sciences
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• 제17권9호
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• pp.1204-1209
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• 2004

Random amplification of polymorphic DNA-Polymerase Chain Reaction (RAPD-PCR) analysis was carried out using DNA samples of 30 animals of Rathi cattle and 42 animals of Tharparkar cattle. Genomic DNA was isolated as per standard protocol and evaluated for its quality, purity and concentration. Twenty three random primers were screened out of which 15 primers yielded satisfactory amplifications and were used for further analysis. Average numbers of polymorphic fragments per primer were 7.07${\pm}$0.86 in Rathi and 6.80${\pm}$0.61 in Tharparkar cattle. The percentage of polymorphic bands in these two cattle breeds were 86 and 87%, respectively. Within breed genetic similarities for pooled over primers in the animals of Rathi and Tharparkar breeds were .577${\pm}$0.30 and 0.531${\pm}$0.02, respectively on the basis of band frequency (BF) and 0.645${\pm}$0.04 and 0.534${\pm}$0.04, respectively on the basis of band sharing (BS). Averages of between breed genetic similarities for pooled over primers were 0.97 and 0.92 according to BF and BS, respectively, which reflect higher degree of genetic similarity between Rathi and Tharparkar cattle breeds. Index of genetic distance based on BF and BS for pooled over primers was 0.030${\pm}$0.011 and 0.088${\pm}$0.031, respectively. Percentage of polymorphic bands and within-breed genetic similarities on the basis of band frequency (BF) and band sharing (BS) for pooled over primers revealed higher genetic similarity in Rathi than Tharparkar cattle population. High estimates of between breed genetic similarities for pooled over primers indicated that either Rathi is having decent from Tharparkar or both the cattle breeds are having common descent. Low value of Index of genetic distances between these two cattle breeds may be due to the fact that Rathi and Tharparkar cattle breeds are the native of Thar Desert in Northwest India. The results of between breed genetic distances also confirm the existence of high degree of genetic similarity between these two breeds of cattle.

• 한국약용작물학회지
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• 제13권2호
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• pp.115-120
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• 2005

Broadening the genetic base of Platycodon grandiflorum DC. cultivar to sustain improvement requires assessment of genetic diversity available in P. grandiflorum DC.. The objective of this study was to analyze the genetic variation, genetic relationship among 48 samples collected from East-Asian Area by means of RAPD-PCR (random amplified polymorphic DNA-polymerase chain reaction) markers. From the 18 primers tested, produced total 211 bands with an average of 11.7 bands per primer and obtained 103 polymorphic band with an average of 5.7 bands per primer,s revealed relatively high percentage of polymorphic bands (48.8%). The genetic similarities calculated from RAPD data varied from 0.688 to 0.994 and were clustered to six major groups on a criterion of 0.78 similarity coefficient. The present study has revealed the significant genetic similarity among the samples tested. The analysis of genetic relationships in P. grandiflorum using RAPD-PCR banding data can be useful for the breed improvement.

• 한국의류학회지
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• 제23권1호
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• pp.78-89
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• 1999

Clothes enhance visual images through the interaction between space and background of the wearer. The influence of background is important as that of the clothes when the observer understands the images. We look at fashion pictures used as important as that various backgrounds are presented depending on the image of the clothes. The clothing the model wears in the pictures takes on shape and space which supports the clothes. The background interact to from the whole image. The background has an important influence on the delivery of image for the clothes. However when the clothes are presented in the background there are some cases that all or parts of clothes can be shown. We must consider the composition ratio of the clothes and background which influences the whole image of the clothing. These interactions and influences on the whole image in regards to clothing background and the ratio will be the focus of this study. clothing was Modern Mannish Casual, Feminine, Ground was decided artificial setting 1 natural setting 1, indoor setting 1, artificial setting 2, natural setting 2, indoor setting 2, Percentage of Clothing was 80% , 140%, 200%,. Thus visual stimulus were 72 pictures that were combined Clothing Ground and Percentage of Clothing, the main survey of questionary consisted of their evaluation of the Picture image combined Clothing and Ground by 30 semantic differential bi-polar scales and the subjects were 50 students majoring in clothing and textile. The data analyzed by factor analysis MCA, MDS, The major finding were as follows : 1) As a result of factor analysis, 5 factors -Attractiveness Hardness and softness Cuteness Attention Cool and Warm factor were found out as constructing factors the Picture image combined Clothing and Ground 2) According to multidimensional positioning map were presented in a stimulus position the perceptive image differed in degree of similarity as a ground construction of stimulus in spite of same clothing image. It will aid in choosing the most beneficial background for any clothing brand. It will enhance the picture images to their full potential in any advertising medium.

• 생태와환경
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• 제54권1호
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• pp.12-23
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• 2021

어류군집은 자연적인 환경 변화뿐만 아니라 인위적 교란에 민감하게 반응하기 때문에, 어류상 및 군집 분석을 통해 수생태계의 서식처 건강성을 종합적으로 평가할 수 있다. 본 연구는 섬진강 수계 본·지류 총 14개 지점을 대상으로 어류상 및 피라미의 전장-체중 관계를 파악하기 위해 2018년 7월부터 2019년 5월까지 어류 조사를 실시하였다. 그 결과 채집된 어류는 한국고유종 19종과 법적보호종 2종을 포함하여 14과 49종으로 확인되었다. Bray-Curtis 유사도에 따르면, 14개 지점은 어류군집 구성에 따라 크게 A, B 두 개의 그룹과 그룹 내 속하지 않는 2개의 지점(그룹 C, D)으로 나뉘었다. 특히, 그룹 A와 B 간에 유의한 차이가 존재하였으며(ANOSIM R=0.722, p=0.002), 참갈겨니(8.55%), 배스(6.90%), 블루길(4.90%)이 두 그룹의 차이에 기여한 것으로 나타났다. 그룹 A는 외래종인 배스, 블루길의 출현이 높게 나타났으며, 그룹 B는 국내 하천 생태계 최 우점종인 피라미와 참갈겨니의 출현이 주요하였다. 본 조사에서 우점한 피라미를 대상으로 전장-체중 관계식에 의한 지점별 회귀계수 b값은 2.82~3.80까지 나타나 지점별로 다양한 성장도를 나타냈다. 따라서 본 연구는 섬진강 수계의 전반적인 어류상과 피라미를 바탕으로 어류의 성장도를 파악할 수 있는 기초자료로서 활용될 수 있을 것이다.

• Journal of Forest and Environmental Science
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• 제37권4호
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• pp.269-279
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• 2021

This study was carried out to introduce the forest cover types of the Baekdudaegan inhabiting the number of native tree species. In order to understand the vegetation distribution characteristics of the Baekdudaegan, a vegetation survey was conducted on the major 20 mountains of the Baekdudaegan. The vegetation data were collected from 3,959 sample points by the point-centered quarter method. Each mountain was classified into 4-7 forests by using various multivariate statistical methods such as cluster analysis, indicator species analysis, multiple discriminant analysis, and species composition analysis. The forests were classified mainly according to the relative abundance of Quercus mongolica. There was a total of 111 classified forests and these forests were integrated into the following nine forest cover types using the percentage similarity index and by clustering according to vegetation type: 1) Mongolian oak, 2) Mongolian oak and other deciduous, 3) Oaks (Mixed Quercus spp.), 4) Korean red pine, 5) Korean red pine and oaks, 6) ash, 7) mixed mesophytic, 8) subalpine zone coniferous, and 9) miscellaneous forest. Forests grouped within the subalpine zone coniferous and miscellaneous classifications were characterized by similar environmental conditions and those forests that did not fit in any other category, respectively.