• Title/Summary/Keyword: Korean Morphological Analysis

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Sporothrix stylites : A New Record from Field Soil in Korea

  • Park, Sangkyu;Lee, Seung-Yeol;Back, Chang-Gi;Kang, In-Kyu;Ten, Leonid;Lee, Hyang Burm;Jung, Hee-Young
    • The Korean Journal of Mycology
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    • v.45 no.3
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    • pp.224-228
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    • 2017
  • The fungal strain, designated KNU16-008, was isolated from field soil in Chungcheongnam-do, Korea. The isolated fungi was characterized by morphological and phylogenetic analyses. Isolated fungus showed typical morphological characteristics of the genus Sporothrix. Based on its phylogenic analysis using internal transcribed spacer (ITS) of rDNA and ${\beta}$-tubulin gene sequences, the strain KNU16-008 was identified as Sporothrix stylites. This species has not been previously reported in Korea.

Application of Fractal Dimension for Morphological Analysis of Wear Particle (마멸입자 형태해석을 위한 Fractal 차원의 적용)

  • 오동석;조연상;서영백;박흥식;전태옥
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 1998.10a
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    • pp.115-123
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    • 1998
  • The morphological analysis of wear particle is a very effective means for machine condition monitoring and fault diagnosis. In order to describe morphology of various wear particle, the wear test was carried out under different experimental conditions. And fractal descriptors was applied to boundary and surface of wear particle with image processing system. These descriptors to analyze shape and surface wear particle are shape fractal dimension and surface fractal dimension. The shape fractal dimension can be derived from the boundary profile and surface fractal dimension can be determined by sum of intensity difference of surface pixel. The morphology of wear particles can be effectively obtained by two fractal dimensions.

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First Report on Lophiostoma macrostomum and Pestalotiopsis lespedezae Isolated from Conifer Leaves of Pinus densiflora in Korea

  • Park, Hyeok;Eom, Ahn-Heum
    • The Korean Journal of Mycology
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    • v.48 no.2
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    • pp.117-124
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    • 2020
  • In this study, we isolated endophytic fungi from the conifer leaves of Pinus densiflora inhabiting Mt. Gyehwasan in Korea. We identified the isolated fungal strains based on their morphological characteristics and phylogenetic analysis using DNA sequences of the internal transcribed spacer, small subunit rDNA, large subunit rDNA, and β-tubulin region. In the process of this study, we confirmed two endophytic fungi that have not been recorded previously in Korea, Lophiostoma macrostomum and Pestalotiopsis lespedezae. In this report, we described the morphological characteristics of these fungal strains and the results of their molecular analysis.

First Report of Arbuscular Mycorrhizal Fungi in Korea: Acaulospora delicata,Dentiscutata colliculosa, and Racocetra alborosea.

  • Park, Hyeok;Ka, Kang-Hyeon;Eom, Ahn-Heum
    • The Korean Journal of Mycology
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    • v.48 no.3
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    • pp.209-215
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    • 2020
  • Spores of arbuscular mycorrhizal fungi (phylum Glomeromycota) were isolated from rhizosphere soil collected in Korea. We identified the morphological characteristics of the spores and performed a phylogenetic analysis using the rDNA 18S, 5.8S, and 28S regions. To the best of our knowledge, we confirm the presence of three species of glomeromycotan fungi previously not reported in Korea, namely Acaulospora delicata, Dentiscutata colliculosa, and Racocetra alborosea. We described the morphological characteristics and results of phylogenetic analysis of these species.

Application of Fractal Parameter for Morphological Analysis of Wear Particle (마멸입자 형상분석을 위한 프랙탈 파라미터의 적용)

  • 원두원;전성재;조연상;박흥식;전태옥
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 2001.06a
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    • pp.30-35
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    • 2001
  • The morphological analysis of wear particle is a very effective means for machine condition monitoring and fault diagnosis. In order to describe morphology of various wear particle, the wear test was carried oui under friction experimental conditions. And fractal descriptors was applied to boundary and surface of wear particle with image processing system. These descriptors to analyze shape and surface wear particle are share fractal dimension and surface fractal dimension. The boundry fractal dimension can be derived from the boundary profile and surface fractal dimension can be determined b)r sum of intensity difference of surface pixel. The morphology of wear particles can be effectively obtained by two fractal dimensions.

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Acaulospora jejuensis, a New Species in Glomeromycota from Korea

  • Park, Hyeok;Ka, Kang-Hyeon;Eom, Ahn-Heum
    • The Korean Journal of Mycology
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    • v.49 no.4
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    • pp.425-431
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    • 2021
  • New species of arbuscular mycorrhizal fungi (Glomeromycota), Acaulospora jejuensis, was isolated from rhizosphere soils of Miscanthus sinensis in the grassland in Jeju Island of Korea. The species was identified using the morphological characteristics of the spores and the molecular phylogenetic analysis using partial DNA sequences from small subunit rDNA (SSU), internal transcribed spacer (ITS), and large subunit rDNA (LSU). Phylogenetic analysis placed the fungal species in a distinct clade within genus Acaulospora. Also, the species exhibited the morphological characteristics distinct from the other members of the genus. Therefore, Acaulospora jejuensis was described as a novel species from Korea.

Non-autoregressive Multi Decoders for Korean Morphological Analysis (비자동회귀 다중 디코더 기반 한국어 형태소 분석)

  • Seongmin Cho;Hyun-Je Song
    • Annual Conference on Human and Language Technology
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    • 2022.10a
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    • pp.418-423
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    • 2022
  • 한국어 형태소 분석은 자연어 처리의 기초가 되는 태스크이므로 빠르게 결과를 출력해야 한다. 기존연구는 자동회귀 모델을 한국어 형태소 분석에 적용하여 좋은 성능을 기록하였다. 하지만 자동회귀 모델은 느리다는 단점이 있고, 이 문제를 극복하기 위해 비자동회귀 모델을 사용할 수 있다. 비자동회귀 모델을 한국어 형태소 분석에 적용하면 조화롭지 않은 시퀀스 문제와 토큰 반복 문제가 발생한다. 본 논문에서는 두 문제를 해결하기 위하여 다중 디코더 기반의 한국어 형태소 분석을 제안한다. 조화롭지 않은 시퀀스는 다중 디코더를 적용함으로써, 토큰 반복 문제는 두 개의 디코더에 서로 어텐션을 적용하여 문제를 완화할 수 있다. 본 논문에서 제안한 모델은 세종 형태소 분석 말뭉치를 대상으로 좋은 성능을 확보하면서 빠르게 결과를 생성할 수 있음을 실험적으로 보였다.

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Morphology and Molecular Phylogeny of Pseudocercospora fatouae Associated with Hypophyllous Leaf Mold on Fatoua villosa in Korea

  • Kui-Jae Lee;In-Young Choi;Lamiya Abasova;Joon-Ho Choi;Jung-Hee Park;Hyeon-Dong Shin
    • The Korean Journal of Mycology
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    • v.51 no.2
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    • pp.147-153
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    • 2023
  • Dark brown leaf molds growing in a vein-limited pattern have been continuously observed on the lower leaf surface of Fatoua villosa in Korea. Fifteen samples deposited in the Korea University herbarium were examined for fungal morphological characterization. Two monoconidial isolates were obtained in 2022, and molecular analysis was performed based on a combined multigene dataset of the internal transcribed spacer (ITS) region and partial actin (actA), translation elongation factor 1-alpha (tef1), and DNA-directed RNA polymerase II second-largest subunit (rpb2). Based on morphological features and molecular phylogenetic analysis, the fungus Pseudocercospora fatouae was identified. To the best of our knowledge, it is the first study reporting the presence of P. fatouae on F. villosa in Korea.

Penicillium mexicanum: An Unrecorded Fungal Species Isolated from Air Samples Collected in Korea

  • Jung-Min Lee;Jae-Eui Cha;Young-Sil Yoon;Ahn-Heum Eom
    • The Korean Journal of Mycology
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    • v.51 no.2
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    • pp.127-133
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    • 2023
  • We report the first discovery of Penicillium mexicanum in Korea. Fungal strains were isolated from air samples collected in Taean-gun, Chungcheongnam-do, Korea. The strain was identified based on its morphological characteristics, as well as molecular phylogenetic analysis of the internal transcribed spacer (ITS), β-tubulin (BenA), and calmodulin (CaM) regions. This strain exhibited a high sequence similarity to the reference sequences of P. mexicanum. These findings enhance our understanding of fungal biodiversity in Korea and underscore the importance of continuous monitoring of fungal species.

Development of chatting program using social issue keyword information (사회적 핵심 이슈 키워드 정보를 활용한 채팅 프로그램 개발)

  • Yoon, Kyung-Suob;Jeong, Won-Hyeok
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.307-310
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    • 2020
  • 본 논문에서 이슈 키워드 추출을 위해 텍스트 마이닝(Text Mining) 기술을 요구한다. 사회적 이슈 키워드를 추출하기 위해 키워드 수집 모델이 되는 사이트에서 크롤링(crawling)을 수행한 뒤, 형태소 단위 의미있는 단어를 수집하기 위해 형태소 분석(morphological analysis)을 수행한다. 한국어 형태소 분석을 위해 파이썬의 코엔엘파이(KoNLPy) 패키지를 활용한다. 형태소 분석을 통해 나뉘어진 단어에서 통계를 내어 이슈 키워드 추출한다. 이슈 키워드를 뒷받침할 연관 단어를 분석하기 위해 단어 임베딩(Word Embedding)을 수행한다. 단어 임베딩 수행을 위해 Word2Vec 모델 중 Skip-Gram 방법론을 적용하여 연관 단어를 분석하도록 개발하였다. 웹 소켓(Web Socket) 통신을 통한 채팅 프로그램의 상단에 분석한 이슈 키워드와 연관 단어를 출력하도록 개발하였다.

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