• Title/Summary/Keyword: Mountain clustering

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The genetically healthy terrestrial orchid Liparis krameri on southern Korean Peninsula

  • CHUNG, Mi Yoon;CHUNG, Jae Min;SON, Sungwon;MAO, Kangshan;LOPEZ-PUJOL, Jordi;CHUNG, Myong Gi
    • Korean Journal of Plant Taxonomy
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    • v.49 no.4
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    • pp.324-333
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    • 2019
  • Neutral genetic diversity found in plant species usually leaves an indelible footprint of historical events. Korea's main mountain range (referred to as the Baekdudaegan [BDDG]), is known to have served as a glacial refugium primarily for the boreal and temperate flora of northeastern Asia. In addition, life-history traits (life forms, geographic range, and breeding systems) influence the within- and among-population genetic diversity of seed plant species. For example, selfing species harbor significantly less within-population genetic variation than that of predominantly outcrossers. A previous study of two Liparis species (L. makinoana and L. kumokiri) emphasizes the role of the abovementioned factors shaping the levels of genetic diversity. Liparis makinoana, mainly occurring on the BDDG and self-incompatible, harbors high levels of within-population genetic diversity (expected heterozygosity, HeP = 0.319), whereas there is no allozyme variation (HeP = 0.000) in L. kumokiri, which is self-compatible and mainly occurs in lowland hilly areas. To determine if this trend is also found in other congeners, we sampled five populations of L. krameri from the southern part of the Korean Peninsula and investigated the allozyme-based genetic diversity at 15 putative loci. The somewhat intermediate levels of within-population genetic variation (HeP = 0.145) found in L. krameri are most likely due to its occurrence in mountainous areas that, despite being outside of the main ridge of the BDDG, still served as refugia, and a self-incompatible breeding system. Management strategies are suggested for L. krameri and L. makinoana based on the levels and distribution of genetic diversity and inbreeding.

The study of blood transcriptome profiles in Holstein cows with miscarriage during peri-implantation

  • Zhao, Guoli;Li, Yanyan;Kang, Xiaolong;Huang, Liang;Li, Peng;Zhou, Jinghang;Shi, Yuangang
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.1
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    • pp.38-48
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    • 2019
  • Objective: In this study, the transcriptome profile of cow experiencing miscarriage during peri-implantation was investigated. Methods: Total transcriptomes were checked by RNA sequencing, and the analyzed by bioinformatics methods, the differentially expressed genes (DEGs) were analysed with hierarchical clustering and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis. Results: The results suggested that serum progesterone levels were significantly decreased in cows that miscarried as compared to the pregnant cows at 18, 21, 33, 39, and 51 days after artificial insemination. The RNA sequencing results suggested that 32, 176, 5, 10, and 2 DEGs were identified in the pregnant cows and miscarried cows at 18, 21, 33, 39, and 51 d after artificial insemination. And 15, 101, 1, 2, and 2 DEGs were upregulated, and 17, 74, 4, and 8 DEGs were downregulated in the cows in the pregnant and miscarriage groups, respectively at 18, 21, 33, and 39, but no gene was downregulated at 51 d after artificial insemination. These DEGs were distributed to 13, 20, 3, 6, and 20 pathways, and some pathway essential for pregnancy, such as cell adhesion molecules, tumor necrosis factor signaling pathway and PI3K-Akt signaling pathway. Conclusion: This analysis has identified several genes and related pathways crucial for pregnancy and miscarriage in cows, as well as these genes supply molecular markers to predict the miscarriage in cows.

Cause-specific Spatial Point Pattern Analysis of Forest Fire in Korea (우리나라 산불 발생의 원인별 공간적 특성 분석)

  • Kwak, Han-Bin;Lee, Woo-Kyun;Lee, Si-Young;Won, Myung-Soo;Koo, Kyo-Sang;Lee, Byung-Doo;Lee, Myung-Bo
    • Journal of Korean Society of Forest Science
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    • v.99 no.3
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    • pp.259-266
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    • 2010
  • Forest fire occurrence in Korea is highly related to human activities and its spatial distribution shows a strong spatial dependency with cluster pattern. In this study, we analyzed spatial distribution pattern of forest fire with point pattern analysis considering spatial dependency. Distributional pattern was derived from Ripley's K-function according to causes and distances. Spatially clustered intensity was found out using Kernel intensity estimation. As a result, forest fires in Korea show clustered pattern, although the degrees of clustering for each cause are different. Furthermore, spatial clustering pattern can be classified into two groups in terms of degrees of clustering and distance. The first group shows the national-wide cluster pattern related to the human activity near forests, such as human-induced accidental fire in mountain and field incineration. Another group shows localized cluster pattern which is clustered within a short distance. It is associated with the smoker fire, arson, accidental by children. The range of localized clustering was 30 km. Beyond of this range, the patterns of forest fire became random distribution gradually. Kernel intensity analysis showed that the latter group, which have localized cluster pattern, was occurred in near Seoul with high densed population.

Genetic Diversity and Relationship Analysis of Taraxacum officinale Weber and Taraxacum coreanum Nakai Accessions Based on Inter-Simple Sequence Repeats (ISSR) Markers (ISSR 표지에 의한 서양민들레와 흰민들레 수집종의 유전적 다양성 및 유연관계 분석)

  • Ryu, Jai-Hyunk;Bae, Chang-Hyu
    • Korean Journal of Medicinal Crop Science
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    • v.19 no.3
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    • pp.149-156
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    • 2011
  • The genetic diversity and the genetic relationship among 30 genetic resources of T. officinale and T. coreanum collected from 20 regions in Korea were evaluated by using ISSR markers. Out of 127 loci detected overall, 122 were identified to be polymorphic with a rate of 96.0% at the 30 individuals. The intraspecific polymorphism between T. officinale and T. coreanum was 92.6% and 88.2%, respectively. The genetic similarity matrix (GSM) revealed a wide range of variablility among the 30 accessions, spanning from 0.179 to 922. According to the clustering analysis, different species T. officinale and T. coreanum, were divided into independent groups and all of the accessions could be classified into 7 categories. Especially, all of the mountain collected accessions belonged to independent groups. The study findings indicate that T. officinale and T. coreanum accessions have a high genetic diversity and accordingly carry a germ-plasm qualifying as good genetic resources for breeding.

Genetic Diversity and Relationship Analysis of Genus Taraxacum Accessions Collected in Korea

  • Ryu, Jai-Hyunk;Bae, Chang-Hyu
    • Korean Journal of Plant Resources
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    • v.25 no.3
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    • pp.329-338
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    • 2012
  • Genus Taraxacum has been widely used as a folkloric medicine for treatment of diverse diseases. The genetic diversity and relationship among 32 accessions belonging to five Taraxacum species (T. mongolicum T. coreanum, T. coreanum var. flavescens, T. officinale and T. laevigatum) which collected from field, mountain, island and seaside of Korea were evaluated using ISSR markers. A total of 142 ISSR loci detected in the overall species were all polymorphic loci (100%) and interspecies polymorphisms obtained from Korean native and naturalized species were 98.2% and 94.5%, respectively. The genetic similarity matrix (GSM) among 32 accessions ranged from 0.025 to 0.860 with an average of 0.303. According to the clustering analysis, the Korean native species and naturalized species were divided two major clusters. In addition, the different species were divided into independent groups except for the T. coreanum and T. coreanum var. flavescens, and all the 32 accessions could be classified into 7 categories. The study findings indicate that Taraxacum accessions have a high genetic diversity and the dandelion accessions as breeding materials can be effectively utilized for the improvement of Taraxacum breeding.

Classification of Forest Cover Types in the Baekdudaegan, South Korea

  • Chung, Sang Hoon;Lee, Sang Tae
    • Journal of Forest and Environmental Science
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    • v.37 no.4
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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.

A Fine Dust Measurement Technique using K-means and Sobel-mask Edge Detection Method (K-means와 Sobel-mask 윤곽선 검출 기법을 이용한 미세먼지 측정 방법)

  • Lee, Won-Hyeung;Seo, Ju-Wan;Kim, Ki-Yeon;Lin, Chi-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.2
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    • pp.97-101
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    • 2022
  • In this paper, we propose a method of measuring Fine dust in images using K-means and Sobel-mask based edge detection techniques using CCTV. The proposed algorithm collects images using a CCTV camera and designates an image range through a region of interest. When clustering is completed by applying the K-means algorithm, outline is detected through Sobel-mask, edge strength is measured, and the concentration of fine dust is determined based on the measured data. The proposed method extracts the contour of the mountain range using the characteristics of Sobel-mask, which has an advantage in diagonal measurement, and shows the difference in detection according to the concentration of fine dust as an experimental result.

A Study on Geotop Classification and Geodiversity in Mt. Jeombong Experimental Forest (점봉산 시험림 지역의 지오톱 분류와 지형다양성 연구)

  • Kim, Nam-Shin;Han, DongUk;Cha, Jin-Yeol;Kwon, Hye-Jin;Cho, Yong-Chan;Oh, Seung-Hwan;Yoo, Seung-Hwa;Yu, Dong-Su;Park, Yong-Su
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.18 no.6
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    • pp.179-190
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    • 2015
  • This study was carried out to suggest fundamental concepts and data ideas for biodiversity and confrontation strategy on global environmental changes by analyzing geomorphic milieu and geotop in Mt. Jeombong experimental forest. Elements of landform were classified as landform sets by scale. Scale for classification could be decide on four categories. We could classify landforms which scale zero is seven elements, scale one is twelve elements, scale two is fifteen elements, scale three is twenty nine elements. Especially mountain wetlands were classed as valley and channel types in Mt. Jeombong. Geotop by clustering methods could be four spatial units as 2, 3, 5, and 7 classes, and analyzed geodiversity as landform sets for explanation of vegetation distribution. Rate of rise of temperature was $0.031^{\circ}C$ per year, change ratio was increased $1.25^{\circ}C$, and also precipitation was increased 320mm during forty year(from year 1973 to year 2012). The result of this research can be affordable to provide information for forest management of mountainous areas.

Function Approximation for accelerating learning speed in Reinforcement Learning (강화학습의 학습 가속을 위한 함수 근사 방법)

  • Lee, Young-Ah;Chung, Tae-Choong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.6
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    • pp.635-642
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    • 2003
  • Reinforcement learning got successful results in a lot of applications such as control and scheduling. Various function approximation methods have been studied in order to improve the learning speed and to solve the shortage of storage in the standard reinforcement learning algorithm of Q-Learning. Most function approximation methods remove some special quality of reinforcement learning and need prior knowledge and preprocessing. Fuzzy Q-Learning needs preprocessing to define fuzzy variables and Local Weighted Regression uses training examples. In this paper, we propose a function approximation method, Fuzzy Q-Map that is based on on-line fuzzy clustering. Fuzzy Q-Map classifies a query state and predicts a suitable action according to the membership degree. We applied the Fuzzy Q-Map, CMAC and LWR to the mountain car problem. Fuzzy Q-Map reached the optimal prediction rate faster than CMAC and the lower prediction rate was seen than LWR that uses training example.

A Study on the Next VWorld System Architecture: New Technology Analysis for the Optimal Architecture Design (차세대 브이월드 시스템 아키텍처 구성에 관한 연구: 최적의 아키텍처 설계를 위한 신기술 분석)

  • Go, Jun Hee;Lim, Yong Hwa;Kim, Min Soo;Jang, In Sung
    • Spatial Information Research
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    • v.23 no.4
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    • pp.13-22
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    • 2015
  • There has been much interest in the VWorld open platform with the addition of a variety of contents or services such as 2D map, 3D terrain, 3D buildings, and thematic map since 2012. However, the VWorld system architecture was not stable for the system overload. For example, the system was stopped due to the rapidly increasing user accesses when the 3D terrain service of the North Korea and the Baekdu mountain was launched at September 2012 and September 2013, respectively. It was because the system architect has just extended the server system and the network bandwidth whenever the rapid increase of user accesses occurs or new service starts. Therefore, this study proposes a new VWorld system architecture that can reliably serve the huge volume of National Spatial Data by applying the new technologies such as CDN, visualization and clustering. Finally, it is expected that the results of this study can be used as a basis for the next VWorld system architecture being capable of a huge volume of spatial data and users.