• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.04a
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• pp.78-78
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• 2019

Gnaphalium L. is a small herbaceous genus comprising up to 80 species in worldwide (Asia, North to South America, Africa, and Oceania). This genus is highly polymorphic which embrace uncommon broad morphological boundary, and thus further studies were needed to proper taxonomic delimitations for the genus and its relatives. Gnaphalium uliginosum L. was usually found in moist sites such as margins of lake, pond, reservoir, stream banks and paddy field. This squat plant is solely known species in Korean Gnaphalium. During the revisionary study of the tribe Gnaphalieae (Asteraceae) in Korea, however, we found several materials in domestic herbaria (e.g., SNU, KWNU) that identified as G. uliginosum or Gamochaeta pensylvanica (Willd.) Cabrera collected from central to northern Korea, but clearly differ to the morphology of G. uliginosum. The external morphology of the materials is seemingly the only feature at odds with G. uliginosum. However, its morphological characters such as tall erected stems (ca. 30cm), hairs on seeds and whitish tomentose hairs on the whole plants are easily distinguished from G. uliginosum, and rather it looks like G. tranzschelii Kirp. Although the name G. tranzschelii have been treated as synonym of G. uliginosum by several authors, its distinct morphology might be sufficient to separate to two independent taxa. Generally, the morphological polymorphisms and hybridization of G. uliginosum complicate the taxonomy of the species, and thus further investigation for their habitat, distribution and morphology were needed to their taxonomic entity.

• Journal of Software Engineering Society
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• v.28 no.1
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• pp.23-28
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• 2019

Recently, in order to effectively test deep neural network model for image processing application, researches have actively conducted to automatically generate data in corner-case that is not correctly predicted by the model. This paper proposes test data generation method that selects arbitrary words from input of system and transforms them into synonyms in order to test the bug reporter automatic assignment system based on sentence classification deep neural network model. In addition, we compare and evaluate the case of using proposed test data generation and the case of using existing difference-inducing test data generations based on various neuron coverages.

• Journal of Species Research
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• v.11 no.4
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• pp.239-252
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• 2022

Afrolaophonte koreana sp. nov. is described from the intertidal zone of two sandy beaches on the south coast of Korea. This is the first record of the genus Afrolaophonte Chappuis, 1960 in the Northern Pacific. The new species is most similar to A. aequatorialis Cottarelli and Mura, 1981, described from the Maldives and subsequently also found in Papua New Guinea, but could be distinguished by numerous characters, including the segmentation of the third leg endopod in male, armature formula of the second leg in both sexes, length of caudal rami in both sexes, and length of some setae on the fourth leg in female. Afrolaophonte ensiger Wells and Rao, 1987 from the Andaman and Nicobar Islands is established as a junior subjective synonym of A. aequatorialis. To test previous phylogenetic hypotheses based on intuitive methods, a parsimony based cladistic analysis of 13 valid congeners is performed using 15 morphological characters and one outgroup. Only one of three previously proposed species-groups is supported with a synapomorphy, while one was clearly based on symplesiomorphies. Our current knowledge of morphology in this genus is not sufficient for postulating interspecific phylogenies, which also renders previous zoogeographical hypotheses untestable.

• Annual Conference on Human and Language Technology
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• 2019.10a
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• pp.272-275
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• 2019

단어 중의성 해소 방법은 지식 정보를 활용하여 문제를 해결하는 지식 기반 방법과 각종 기계학습 모델을 이용하여 문제를 해결하는 지도학습 방법이 있다. 지도학습 방법은 높은 성능을 보이지만 대량의 정제된 학습 데이터가 필요하다. 반대로 지식 기반 방법은 대량의 정제된 학습데이터는 필요없지만 높은 성능을 기대할수 없다. 최근에는 이러한 문제를 보완하기 위해 지식내에 있는 정보와 정제된 학습데이터를 기계학습 모델에 학습하여 단어 중의성 해소 방법을 해결하고 있다. 가장 많이 활용하고 있는 지식 정보는 상위어(Hypernym)와 하위어(Hyponym), 동의어(Synonym)가 가지는 의미설명(Gloss)정보이다. 이 정보의 표상을 기존의 문장의 표상과 같이 활용하여 중의성 단어가 가지는 의미를 파악한다. 하지만 정확한 문장의 표상을 얻기 위해서는 단어의 표상을 잘 만들어줘야 하는데 기존의 방법론들은 모두 문장내의 문맥정보만을 파악하여 표현하였기 때문에 정확한 의미를 반영하는데 한계가 있었다. 본 논문에서는 의미정보와 문맥정보를 담은 단어의 표상정보를 만들기 위해 구문정보, 의미관계 그래프정보를 GCN(Graph Convolutional Network)를 활용하여 임베딩을 표현하였고, 기존의 모델에 반영하여 문맥정보만을 활용한 단어 표상보다 높은 성능을 보였다.

• ALGAE
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• v.38 no.1
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• pp.23-38
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• 2023

Accurately identifying species is the basis of all biological studies. There has been much confusion in the identification of Grateloupiacean species, which have finely pinnate gross morphology similar to Grateloupia filicina (the type species of the family). The objective of this study was to comprehensively investigate species identification and distribution of G. filicina-like species in the Northwest Pacific, based on the rbcL sequences. A total of 118 specimens from 78 sites in Korea and Japan were collected from 2001 to 2021 and analyzed for their rbcL sequences. Additional 341 sequences downloaded from the GenBank were included in our comprehensive dataset. Based on these sequences, we documented the nomenclatural history and geographical distribution of the species, and commented on the application of species name. G. asiatica was the most abundant G. filicina-like species in the Northwest Pacific, and its high degree of morphological variation caused many misidentifications. In particular, G. dalianensis, G. serra, and G. variata require reconsideration of their conspecificity with G. asiatica using more specimens from China. By contrast, G. oligoclora was presumed to be a heterotypic synonym of G. subpectinata. The occurrence of G. acuminata, G. ramosissima, and G. livida in Korea resulted from misidentifications with other species.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.582-586
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• 2020

국가기후기술정보시스템은 국내 환경기술과 국외의 수요기술 정보를 제공하는 검색 시스템이다. 그러나 기존의 시스템은 유사한 뜻을 가진 단일 단어와 복수 단어들을 모두 식별하지 못하기에 유의어를 입력했을 경우 검색 결과가 다르다. 이런 문제점을 해결하기 위해 본 연구에서는 유의어 사전을 기반으로한 환경기술 검색 시스템을 제안한다. 이 시스템은 Word2vec 모델과 HDBSCAN(Hierarchical Density-Based Spatial Clustering of Application with Noise) 알고리즘을 이용해 유의어 사전을 구축한다. Word2vec 모델을 이용해 한국어와 영어 위키백과 코퍼스에 대해 형태소 분석을 진행한 후 단일 단어와 복수 단어를 포함한 단어를 추출하고 벡터화를 진행한다. 그 다음 HDBSCAN 알고리즘을 이용해 벡터화된 단어를 군집화 해주고 유의어를 추출한다. 기존의 Word2vec 모델이 모든 단어 간의 거리를 계산하고 유의어를 추출하는 과정과 대비하면 시간이 단축되는 역할을 한다. 추출한 유의어를 통합해 유의어 사전을 구축한다. 국가기후기술정보시스템에서 제공하는 국내외 기술정보, 기술정보 키워드와 구축한 유의어 사전을 Multi-filter를 제공하는 Elasticsearch에 적용해 최종적으로 유의어를 식별할 수 있는 환경기술 검색 시스템을 제안한다.

• 중국학논총
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• no.62
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• pp.71-84
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• 2019

Brothel in China is another word of origin and a noble expression at the same time. Brothel has long been used as a symbol of prestige and wealth as a synonym for integrity innocence. According to documentary records, brothel was used as a place where people with a lot of power and wealth. This meaning in the literature continued until the Late Tang period. In addition, the brothel was also used to refer to the place where the King resides. Therefore, the meaning of Brothel in the Tang period is generally understood as a place where people with high status symbolize the integrity of innocence. However, the image of the brothel, which is connected to the characteristics of a lot of young and beautiful women is increasingly recognized as a place where young ladies reside. For this reason, entering the Tang period the brothel eventually turned into a dwelling of a young woman in a prestigious and wealthy house. Since the time of Ming-Qing, brothel has already been used to refer to prostitute and brothel. In this article, we will look at the historical process of the change of brothel, and examine the process of brothel culture through the environment of brothel and cultural literacy of residents. We hope that this study will provide new perspectives and data to the study of women's cultural history in China.

• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.548-557
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• 2010

In this paper, we propose a semi-automatic modeling approach of ontology to annotate VOD to realize the IPTV's intelligent searching. The ontology is made by combining partial tree that extracts hypernym, hyponym, and synonym of keywords related to a service domain from WordNet. Further, we add to the partial tree new keywords that are undefined in WordNet, such as foreign words and words written in Chinese characters. The ontology consists of two parts: generic hierarchy and specific hierarchy. The former is the semantic model of vocabularies such as keywords and contents of keywords. They are defined as classes including property restrictions in the ontology. The latter is generated using the reasoning technique by inferring contents of keywords based on the generic hierarchy. An annotation generates metadata (i.e., contents and genre) of VOD based on the specific hierarchy. The generic hierarchy can be applied to other domains, and the specific hierarchy helps modeling the ontology to fit the service domain. This approach is proved as good to generate metadata independent of any specific domain. As a result, the proposed method produced around 82% precision with 2,400 VOD annotation test data.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.131-138
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• 2013

In this paper, I propose and evaluate the method that classifies emotional type of characters with their emotional words. Emotional types are classified as three types such as positive, negative and neutral. They are selected by classification of emotional words that characters speak. I propose the method to extract emotional words based on WordNet, and to represent as emotional vector. WordNet is thesaurus of network structure connected by hypernym, hyponym, synonym, antonym, and so on. Emotion word is extracted by calculating its emotional distance to each emotional category. The number of emotional category is 30. Therefore, emotional vector has 30 levels. When all emotional vectors of some character are accumulated, her/his emotion of a movie can be represented as a emotional vector. Also, thirty emotional categories can be classified as three elements of positive, negative, and neutral. As a result, emotion of some character can be represented by values of three elements. The proposed method was evaluated for 12 characters of four movies. Result of evaluation showed the accuracy of 75%.

• Korean Journal of Ichthyology
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• v.11 no.1
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• pp.1-11
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• 1999

The five species of the genus Microphysogobio in Korea are reviewed with the keys to species and their illustrations: M. longidorsalis, M. jeoni sp. nov., M. koreeneis, M. yaluensis, and M. rapidus. Microphysogobio tungtingensis uchidai was treated as a junior synonym of M. yaluensis based on having the distinct papillae of upper lip and the color pattern on body sides by the examination of the type specimens. Microphysogobio jeoni is described as a new species from the specimens collected in the Naktong River, Han River and Keum River, Korea. it is well distinguished from the related species by the slender body, undeveloped papillae of upper lip and unspotted fins. Microphysogobio yaluensis was showed the clinal variations in the number of lateral line scales and vertebrae among the populations in the western drainages of Korea. It is remarked biogeographically that the five species of Microphysogobio are all endemics to Korea with the restricted ranges.