• Korean Journal of Plant Resources
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• v.30 no.5
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• pp.489-506
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• 2017

This study was carried out to investigate the flora of Geumseongsan Mt. (Geumsan-gun Chungnam). The vascular plants were collected 30 different times, from July 2015 to June of 2016. The results showed that there were 483 taxa in total, included 112 families, 358 genera, 417 species, 8 subspecies, 48 varieties, 8 forms and 2 hybrids. Of these vascular plants, red-list species managed by the Ministry of Environment of Korea included 3 species, and 8 species Korea Forest Service. The endemic species to Korea were identified to 4 species. There were 29 taxa specially designated floristic regional indicator plants by the Ministry of Environment of Korea. The alien plants were identified as 42 taxa, and their naturalization ratio was 8.6%. Usage of 483 taxa were consisted of 190 taxa (39.3%) of edible plants, 162 taxa (33.5%) of pasture plants, 154 taxa (31.8%) of medicinal plants, 58 taxa (12.0%) of ornamental plants, 14 taxa (2.8%) of timber plants, 5 taxa (1.0%) of fiber plants, and 2 taxa (0.4%) of industrial plants.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.4
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• pp.22-30
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• 2001

In this paper we propose three classification algorithms to classify breast tumors that occur in duct into Benign, DCIS(ductal carcinoma in situ) NOS(invasive ductal carcinoma) The general approach for a creating classifier is composed of 2 steps: feature extraction and classification Above all feature extraction for a good classifier is very significance, because the classification performance depends on the extracted features, Therefore in the feature extraction step, we extracted morphology features describing the size of nuclei and texture features The internal structures of the tumor are reflected from wavelet transformed images with 10$\times$ and 40$\times$ magnification. Pariticulary to find the correlation between correct classification rates and wavelet depths we applied 1, 2, 3 and 4-level wavelet transforms to the images and extracted texture feature from the transformed images The morphology features used are area, perimeter, width of X axis width of Y axis and circularity The texture features used are entropy energy contrast and homogeneity. In the classification step, we created three classifiers from each of extracted features using discriminant analysis The first classifier was made by morphology features. The second and the third classifiers were made by texture features of wavelet transformed images with 10$\times$ and 40$\times$ magnification. Finally we analyzed and compared the correct classification rate of the three classifiers. In this study, we found that the best classifier was made by texture features of 3-level wavelet transformed images.

• Journal of the Korean Society for Nondestructive Testing
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• v.24 no.6
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• pp.590-596
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• 2004

Neural network-based signal classification systems are increasingly used in the analysis of large volumes of data obtained in NDE applications. Ultrasonic inspection methods on the other hand are commonly used in the nondestructive evaluation of welds to detect flaws. An important characteristic of ultrasonic inspection is the ability to identify the type of discontinuity that gives rise to a peculiar signal. Standard techniques rely on differences in individual A-scans to classify the signals. This paper proposes an ultrasonic signal classification technique based on the information tying in the neighboring signals. The approach is based on a 2-dimensional Fourier transform and the principal component analysis to generate a reduced dimensional feature vector for classification. Results of applying the technique to data obtained from the inspection of actual steel welds are presented.

• Bulletin of the Society of Naval Architects of Korea
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• v.32 no.2
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• pp.27-33
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• 1995

본 고에서는 선박의 충돌 및 좌초시 선체구조의 파괴에 관한 연구중에서 최근에 보고된 것을 중 신으로 자료조사를 수행함으로써 이 분야의 최신 연구동향을 분석하고자 한다. 그러나, 오래전에 수행된 연구성과일지라도 현재까지 유용한 정보를 제공하고 있다고 판단되는 연구성과는 본조 사에 포함시켰으며, 최근에 수행된 연구도 나열식으로 조사하기 보다는 대표적인 것만을 대상 으로 하였기 대문에 본 조사에 포함되지 않은 연구성과중에도 유용한 결과를 주는 것이 다수 있음은 물론이다. 충돌 및 좌초시 선체구조는 소성, 파단(rupture), 찢김(tearing), 마찰접 촉(frictional contact), 대변형/대회전, 압괴(crushing)등 복잡한 비선형구조응답을 나타내며, 이 문제의 분류방법에는 여러 가지가 있으나, 본고에서는 다음에 나타내고 있는 바와 같이 통상적 으로 분류하고 있는 방법에 따라 연구성과들을 조사 분석하였다.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.4
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• pp.45-54
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• 1999

본 논문에서는 웨이브렛 변환 대역에서 영역분할 기법을 적용하여 얻어진 각 영역을 중요 영역과 비 중요 영역으로 분류하고 각각의 영역을 그의 특성에 적합한 방식으로 부호화 하는 기법을 제안하였다. 중요 영역은 전체 영역가운데 매우 작은 부분을 차지하지만 영상 복원에 매우 큰 영향을 주기 때문에 이러한 영역 부호화를 위해 기존의 EZW 방식보다 성능이 우수하며 단일계수 전송에 성능이 뛰어난 SPIHT 알고리즘을 적용하였다. 그러나 비 중요영역은 영상복원에 미치는 영향이 적을 뿐만 아니라, 매우 큰 동질 영역을 형성하기 때문에 텍스춰 모델링을 이용할 경우 높은 압축률을 얻을 수 있다. 또한 이 방식을 이용할 경우 인위적인 에러가 거의 없기 때문에 이용할 경우 높은 압축률을 얻을 수 있다. 또한 이 방식을 이용할 경우 인위적인 에러가 거의 없기 때문에 시각적으로도 좋은 영상을 복원 할 수 있다. 실험결과 제안한 시스템은 다양한 영상에 대하여 적응성이 있음을 보였고 특히 0.2bpp 이하의 매우 낮은 비트 율에서도 EZW 와 같은 기존의 웨이브렛 기반 부호화기보다 좋은 성능을 나타내었다.

• Korean Journal of Environment and Ecology
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• v.27 no.2
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• pp.170-195
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• 2013

This study was carried out to investigate the vascular flora of Mt. Nam, Mt. Toham, and Mt. Danseok in Gyeongju National Park. The vascular plants were surveyed for 7 times from July 2011 to May 2012. The results were summarized as 436 taxa, 96families, 284 genera, 385 species, 4 subspecies, 41 varieties, and 6 forms. The 13 taxa were categorized as Korean endemic plants species and the other 7 taxa as rare plants species, which categorized by the Korea Forest Service. Based on the Floristic Degrees categorized by the Specific Distribution of Plants Species, one taxa grouped as the Floristic Degree V, 3 for Floristic Degree IV, and 9 for Floristic Degree III, 4 for Floristic Degree II, and 24 taxa for Floristic Degree I. The naturalized plants were recorded as 29 taxa, and their Naturalization Ratio and Urbanization Index were recorded as 6.65%, and 9.03%, respectively. 436 taxa listed consists of 182 taxa(41.7%) of pasturing plant, 176 taxa(40.4%) of edible plants, 147 taxa(33.7%) of medicinal plants, 52 taxa(11.9%) of ornamental plants, 18 taxa(4.1%) of timber plants, 16 taxa(3.7%) of stain plants, 8 taxa(1.8%) of fiber plants, 1 taxa(0.2%) of industrial plants and 79 taxa(18.1%) of unknown plants.

• Korean Journal of Plant Taxonomy
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• v.44 no.1
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• pp.59-76
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• 2014

This study was carried out to investigate flora of Mt. Dosol(Yanggu-gun, Gangwon-do). The vascular plants were summarized as 510 taxa, including 89 families, 281 genera, 438 species, 3 subspecies, 61 varieties and 8 forms. Among the investigated 510 taxa, 21 Korean endemic, 24 rare plants, 1 endangered plant and 122 specially designated plants by the Ministry of Environment were also included. The naturalized plants were 27 taxa. The percent of naturalized plants species and urbanization index were estimated as 5.3% and 8.4%, respectively. Usefulness of plants of 510 taxa listed consists of 201 taxa(39.4%) of edible plants, 186 taxa(36.5%) pasture plants, 144 taxa(28.2%) of medicinal plants, 56 taxa(11.0%) of ornamental plants, 16 taxa(3.1%) of timber plants, 8 taxa(1.6%) of miscellaneous plants and 4 taxa(0.8%) of fiber plants.

• The Korean Journal of Applied Statistics
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• v.14 no.1
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• pp.39-57
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• 2001

Categorical data has sometimes misclassification errors. If this data will be analyzed, then estimated cell probabilities could be biased and the standard Pearson X2 tests may have inflated true type I error rates. On the other hand, if we regard wellclassified data with misclassified one, then we might spend lots of cost and time on adjustment of misclassification. It is a necessary and important step to ask whether categorical data is misclassified before analyzing data. In this paper, when data is misclassified at one of two variables for two-dimensional contingency table and marginal sums of a well-classified variable are fixed. We explore to partition marginal sums into each cells via the concepts of Bound and Collapse of Sebastiani and Ramoni (1997). The double sampling scheme (Tenenbein 1970) is used to obtain informations of misclassification. We propose test statistics in order to solve misclassification problems and examine behaviors of the statistics by simulation studies.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.28 no.4
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• pp.473-480
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• 1983

To obtain basic information on the Korean local com lines a total of 57 lines were selected from 1,000 Korean local collection at Chungnam National University, and classified by principal component analysis, and genetic nature was investigated. There were a great variation in mean values of plant characters of the lines. The mean values of plant characters except for density of kernels varied with types of crossing. All characters except for tasselling dates were reduced in magnitude when selfed, while those characters were increased when topcrossed. The inbreeding depression varied with plant characters and lines. The characters such as yield, kernel weight per ear, ear weight and plant height showed great degree of inbreeding depression. Group I showed high inbreeding depression in such characters as 100 kernel weight, leaf number, plant height and days to tasselling, while group II showed high inbreeding depression in other plant characters. Heterosis of plant characters varied also with lines. The ear weight, kernel weight per ear, yield, 100 kernel weight, and plant height were some of the plant characters showing high heterosis. Group II showed high values of heterosis in such characters as ear length, ear diameter, ear weight, kernel weight per ear, 100 kernel weight and leaf length, while group I was high in heterosis in other plant characters. The degree of homozygosity was highest in ear weight (79.1%) and lowest in ear number per plant (-2.1%). Group II showed higher degree of homozygosity than group I. Correlation coefficients between characters of sibbed and topcrossed lines were positive for all characters. Highly significant correlation coefficients between sibbed and topcrossed lines were obtained especially for characters such as ear number per plant, plant height, leaf length and yield per plot.

• Korean Journal of Remote Sensing
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• v.29 no.5
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• pp.537-544
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• 2013

Baton Peninsula, where Sejong station is located, mainly covered with snow and vegetation. Because this area is sensitive to climate change, monitoring of surface variation is important to understand climate change on the polar region. Due to the inaccessibility, the remote sensing is useful to continuously monitor the area. The objectives of this research are 1) map classification of land-cover types in the Barton Peninsular around King Sejong station and 2) grasp distribution of vegetation species in classified area. A KOMPSAT-2 multispectral satellite image was used to classify land-cover types and vegetation species. We performed classification with hierarchical procedure using KOMPSAT-2 satellite image and ground reference data, and the result is evaluated for accuracy as well. As the results, vegetation and non-vegetation were clearly classified although species shown lower accuracies within vegetation class.