• Korean Journal of Plant Taxonomy
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• v.50 no.4
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• pp.377-384
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• 2020

Korean Sedum formosanum N. E. Br. (Ju-geog-nip-gaet-bi-reum in Korean) was first recorded in 1887, 133 years ago. Since then, the species has not been collected and its current state has remained unclear. However, these plants were collected in 2020 and the corresponding taxonomic entity and distribution status were revealed. It is known to be distributed only in the southern region of Japan, the northern islands of the Philippines, and in Taiwan, with Taiwan being the collection site of the type specimen. However, on the basis of the findings of the fourth national natural environment survey, it has recently been established that this plant also grows in the crevices of rocks along the seashores of the Korean islands of Hataedo Island and Sangtaedo Island, Sinan-gun, Jeollanam-do. S. formosanum inhabiting Korea is a large succulent biennial that can attain a height of up to 65 cm and differs from its congeneric species in having erect follicles during the fruiting period. Notably, among the Korean Sedum species, S. formosanum is most similar to S. tosaense, although it can be distinguished from this species with respect to its monomorphic leaves that have rounded apices, and it also bears separate flowering and sterile stems. In this paper, we present a description and photographs of the Korean S. formosanum, indicate the differences between this and related species, and provide a key to related taxa.

• Science of Emotion and Sensibility
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• v.26 no.2
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• pp.103-116
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• 2023

This study aims to investigate the interaction between inward bias and canonical viewpoint, which are factors known to affect preference for meaningful objects. It also considered the familiarity of each entity in terms of their influence on the existence of a canonical viewpoint and demonstrated whether the relative strength of two preferences varies depending on familiarity. To confirm this, we conducted a behavior experiment using a two-alternative forced-choice task. The experimental stimuli were eight single objects for familiarity level (high/low), whereas the entity's inward bias and canonical viewpoint were observed or violated. Results showed that when inward bias was obeyed, the frequency of being chosen as a preferred option was higher, and the reaction time for preference judgment was shorter. However, the observation of a canonical viewpoint did not affect frequency and reaction time. Moreover, familiarity played an interference role in aesthetic judgment. These results indicate that inward bias is stronger than canonical viewpoint, ultimately implying that a single object's interaction with the visual context is superior to the entity's attribute as regards to preference judgment.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.8
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• pp.371-380
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• 2023

Relation extraction is to extract relationships between named entities from text. Traditionally, relation extraction methods only extract relations between predetermined subject and object entities. However, in end-to-end relation extraction, all possible relations must be extracted by considering the positions of the subject and object for each pair of entities, and so this method uses time and resources inefficiently. To alleviate this problem, this paper proposes a method that sets directions based on the positions of the subject and object, and extracts relations according to the directions. The proposed method utilizes existing relation extraction data to generate direction labels indicating the direction in which the subject points to the object in the sentence, adds entity position tokens and entity type to sentences to predict the directions using a pre-trained language model (KLUE-RoBERTa-base, RoBERTa-base), and generates representations of subject and object entities through probabilistic crossover operation. Then, we make use of these representations to extract relations. Experimental results show that the proposed model performs about 3 ~ 4%p better than a method for predicting integrated labels. In addition, when learning Korean and English data using the proposed model, the performance was 1.7%p higher in English than in Korean due to the number of data and language disorder and the values of the parameters that produce the best performance were different. By excluding the number of directional cases, the proposed model can reduce the waste of resources in end-to-end relation extraction.

• Journal of Technology Innovation
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• v.5 no.2
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• pp.22-47
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• 1997

This paper suggests a model of Living & Learning Nation as a new ploicy framework. It is a combination of Living Nation and Learning Nation. Living Nation model takes the nation as a living entity composed of spirit, resource, and communication : it grows but healthy and balanced growth is needed, its organs are closely connected, it has a circulation system, the 'spirit' factor plays the central role, etc.. Learning Nation model is a national level version of learning organization concept. The model defines new perspectives on the objectives, span of means, and the role of government in S&T policy. Therefore, the model can be used to give new insights to policymakers of developing countries facing the knowledge-based economy.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.406-408
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• 2004

To develop enterprise architecture based distributed application needs consideration of various factors such as division of role between web-designer and software developer, defining entity and its usage, database connection and transaction processing. This paper presents DONSL(Data Server of Non SQL-Query) architecture that provides solution to above aspects through web-tier object modeling guaranteeing efficient transaction processing and performance between web-tier and 08MS through simplified usage of query logic property.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.28-31
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• 1996

A bag is a set-like entity which can contain repeated elements. Fuzzy bags have been studied by Yager, who defined their basic relations and operations. However, his definitions of the basic relations and operations are inconsistent with the corresponding relations and operations for ordinary fuzzy sets. The present paper presents new basic relations and operations of fuzzy bags using a grade sequence for each element of the universal set. Moreover the .alpha.-cut, t-norms, the extension principle, and the composition of fuzzy bag relations are described.

• Proceedings of the CALSEC Conference
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• 1997.11a
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• pp.427-441
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• 1997

ㆍEXPRESS에 의한 AP214 Schema 정의 ㆍEXPRESS에 의한 Entity 정의 ㆍEXPRESS에 의한 TYPE, FUNCTION, RULE의 정의 ㆍAIM 축소 정보 모델 (Subset) 구성 ㆍAIM 축소 정보 모델의 예 ㆍ축소 정보 모델에 근거한 소규모 PDM시스템 AP214 개요 정식 명칭 : Core Data for Automotive Design and Processes 파트 번호 : ISO 10303-214 제안시기 : 1992년 STEP 시애틀 회의 (독일에 의하여 제안) 대상 내용 : 자동차의 기획 단계로부터 스타일링, 설계, 실험, 공정 계획, 툴 설계 및 제작, 품질 검사에 이르는 수명 전 주기상에 발생되는 제품 관련 정보 현 상태 : CD(Committee Draft) DIS (Draft International Standard) 표결 진행중(중략)

• Korean Journal of Environmental Biology
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• v.35 no.3
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• pp.341-344
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• 2017

The delesseriacean parasitic red algal Asterocolax species was collected from Jindo in the southern coast of Korea. This parasitic species found on Pseudopolyneura japonica. And it is distinct from other species of Asterocolax with more or less denticulate branches when matured. This Korean entity is identified as Asterocolax denticulatus (Tokida) Feldmann & Feldmann (Delesseriaceae, Rhodophyta) based on these features. This is the first record of A. denticulatus in Korea.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.338-339
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• 2017

본 논문은 개체명 인식을 위해 CRF 모델을 이용해 분류를 수행했다. 개체명 후보를 개체명으로 식별에서 중의성 문제가 필요하다. 본 논문에서는 이러한 중의성 문제 해결을 위해 학습 셋으로부터 패턴과 형태적 특성을 고려해 개체명 후보를 최대로 선택하고 선택된 개체명 후보의 중의성과 정확도를 높이기 위해 주변의 문맥 자질과 분별 확률 모델인 CRF를 이용해 중의성 문제를 해결한다.

• ETRI Journal
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• v.10 no.1
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• pp.22-31
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• 1988

TDX-10 교환기에 실현될 CCITT No.7 시스팀 중 MTP 서브시스팀 설계를 위한 예비 연구로서 블럭별 자료구조를 설계하였다. 본고에서는 자료구조 설계방법은 관계형 데이터 베이스 설계 개념을 응용하여 데이터의 조작 및 관리가 용이한 자료구조의 설계 방법을 제시하였으며, 특히 Entity-Relationship 데이터 모델을 이용하여 개념 데이터 모델을 설정하고 이로부터 제3규정형 형태의 관계형 자료구조를 도출하였다.