• Korean Journal of Fisheries and Aquatic Sciences
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• v.53 no.4
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• pp.566-571
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• 2020

To classify a presumed hybrid of imported grouper species acquired from the National Fishery Products Quality Management Service, maternal and paternal lines were identified based on partial sequencing of mitochondrial cytochrome c oxidase 1 (co1) and nuclear recombination activation gene 1 (rag1) genes. The matrilineal species was identified as Epinephleus moara by a partial (760 bp) co1 sequence. Ambiguous sequences with base pairs belonging to E. moara or E. lanceolatus were found in a total of 15 different base pairs in the partial 1,159 bp of the rag1 gene, and the patrilineal species was found to be E. lanceolatus. Therefore, all of the groupers examined in the study were identified to be hybrids of E. moara and E. lanceolatus. In addition, a fast and convenient method using random amplification of polymorphic DNA (RAPD) was established for hybrid discrimination. Hybrids between E. moara ♀ and E. lanceolatus ♂ were identified through specific bands of 387 bp and 433 bp in PRIMER 6.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.87-92
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• 2024

In this paper, a RAG system was implemented using an existing Large Language Model (LLM) and Langchain library to develop a dental consultation chatbot. For this purpose, we collected contents from the webpage bulletin boards of domestic dental university hospitals and constructed consultation data with the advice and supervision of dental specialists. In order to divide the input consultation data into appropriate sizes, the chunk size and the size of the overlapping text in each chunk were set to 1001 and 100, respectively. As a result of the simulation, the Retrieval Augmented LLM searched for and output the consultation content that was most similar to the user input. It was confirmed that the accessibility of dental consultation and the accuracy of consultation content could be improved through the built chatbot.

• Journal of Life Science
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• v.30 no.11
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• pp.990-998
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• 2020

This study was conducted to evaluate the hair-growth promotion effect in C57BL/6 mice of a new substance mixed with Allium cepa (red)-bioconversion extract and Angelica gigas Nakai. The ethanol extract of Allium cepa (red) was bioconverted through the use of the Bacillus subtilis KJ-3 (BS3) strain, which was named Red-BCQ. The quercetin content of Red-BCQ increased by about 7.4-fold after bioconversion. Angelica gigas Nakai extract (Agnex) contains a large amount of coumarins such as decursin (D) and decursinol angelate (DA). A 1 mg portion of Agnex contained 0.4146 mg of D and 0.3659 mg of DA. Minoxidil has been known to promote hair growth. In this study, the hair-growth promotion effects of Red-BCQ, Agnex, and a mixture of both Red-BCQ and Agnex were compared with 5% minoxidil. Twenty-five mice were divided into five experimental groups including saline (CON), 5% minoxidil (PCON), Red-BCQ (RA), Agnex (AG), and a Red-BCQ-Agnex mixture (RAG)-treated group. Samples were administered orally once a day at a fixed time for 4 weeks. Hair growth was monitored by photograph at 7, 14, 21, and 28 days. We also observed 5α-reductase, alkaline phosphatase (ALP), γ-glutamyl transpeptidase (γ-GT), insulin-like growth factor (IGF)-1, transforming growth factor (TGF)-β1, antioxidant enzyme, and the hair follicles of the skin tissue. In all the results, the RAG-administered group showed greater antioxidative and hair-growth promotion effects than the other groups. These data suggest that RAG has potent stimulating activity on hair growth in C57BL/6 mice.

• Proceedings of the Korean Vacuum Society Conference
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• 1996.06a
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• pp.159-160
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• 1996

• Proceedings of the Zoological Society Korea Conference
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• 2000.10a
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• pp.201.1-201
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• 2000

• Proceedings of the Zoological Society Korea Conference
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• 1999.10b
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• pp.184.1-184
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• 1999

• Proceedings of the KSRS Conference
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• 2007.03a
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• pp.130-133
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• 2007

본 연구는 원격 탐사의 영상 처리에서 영상 분할의 상위 수준으로 웅집 계층 clustering의 dendrogram을 통한 무감독 영상 분류를 제안한다. 제안된 알고리즘은 분광 영역에서 정의된 RAG(Regional Agency Graph)와 min-heap 자료 구조를 이용하여 MCSNP(Mutual Closest Spectral Neighbor Pair)의 집 합을 검색하면서 합병을 수행하는 계층 clustering 방법이다. 계산 시간과 저장 기억의 사용에 대한 효율을 증가시키기 위해 분광적 인접성올 정의 하는 분광 공간(spectral space)내의 다중창을 사용하였고 RNV(Region Neighbor Vector)을 이용하여 합병에 의하여 변하는 RAG 갱신하였고 적정한 단계 수가 주어 진다면 제안된 알고리즘은 집단 합병의 계층적 관계를 쉽게 해석 할 수 있는 dendrogram을 생성한다. 본 연구는 생성된 dendrogram을 이용한 nested-hierarchical 분석을 통하여 피복 형태의 계층적 관계를 해석한다. 이러한 해석은 피복 형태의 정확한 분류를 위한 의사 결정에 중요한 정보를 공급한다.

• The Journal of Korea Robotics Society
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• v.8 no.2
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• pp.82-91
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• 2013

This paper proposes a building recognition algorithm using watershed image segmentation algorithm and integrated region matching (IRM). To recognize a building, a preprocessing algorithm which is using Gaussian filter to remove noise and using canny edge extraction algorithm to extract edges is applied to input building image. First, images are segmented by watershed algorithm. Next, a region adjacency graph (RAG) based on the information of segmented regions is created. And then similar and small regions are merged. Second, a color distribution feature of each region is extracted. Finally, similar building images are obtained and ranked. The building recognition algorithm was evaluated by experiment. It is verified that the result from the proposed method is superior to color histogram matching based results.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.753-756
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• 2024

This study integrates Rivet and Retrieved Augmented Generation (RAG) technologies to enhance automated report generation, addressing the challenges of large-scale data management. We introduce novel algorithms, such as Dynamic Data Synchronization and Contextual Compression, expected to improve report generation speed by 40% and accuracy by 25%. The application, demonstrated through a model corporate entity, "Company L," shows how such integrations can enhance business intelligence. Empirical validations planned will utilize metrics like precision, recall, and BLEU to substantiate the improvements, setting new benchmarks for the industry. This research highlights the potential of advanced technologies in transforming corporate data processes.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2018.11a
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• pp.183-184
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• 2018