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DNA 메타바코딩을 이용한 광양만 및 어시장 해양 생물 위 내용물 분석
오건희,김용준,홍철,지창우,곽인실 한국하천호수학회 2022 생태와 환경 Vol.55 No.4
Gut contents analysis is essential to predict the impact of organisms on food source changes due to variations of the habitat environment. Previous studies of gut content analysis have been conducted using traditional methods, such as visual observation. However, these studies are limited in analyzing food sources because of the digestive process in gut organ. DNA metabarcoding analysis is a useful method to analyze food sources by supplementing these limitations. We sampled marine fish of Pennahia argentata, Larimichthys polyactis, Crangon affinis, Loligo beka and Sepia officinalis from Gwangyang Bay and Yeosu fisheries market for analyzing gut contents by applying DNA metabarcoding analysis. 18S rRNA v9 primer was used for analyzing food source by DNA metabarcoding. Network and two-way clustering analyses characterized the relationship between organisms and food sources. As a result of comparing metabarcoding of gut contents for P. argentata between sampled from Gwangyang Bay and the fisheries market, fish and Copepoda were analyzed as common food sources. In addition, Decapoda and Copepoda were analyzed as common food sources for L. polyactis and C. affinis, respectively. Copepoda was analyzed as the primary food source for L. beka and S. officinalis. These study results demonstrated that gut contents analysis using DNA metabarcoding reflects diverse and detailed information of biological food sources in the aquatic environment. In addition, it will be possible to provide biological information in the gut to identify key food sources by applying it to the research on the food web in the ecosystem.
마스크 생산 라인에서 영상 기반 마스크 필터 검사를 위한 계층적 상관관계 기반 이상 현상 탐지
오건희,이효진,이헌철 대한임베디드공학회 2021 대한임베디드공학회논문지 Vol.16 No.6
This paper addresses the problem of vision-based mask filter inspection for mask production systems. Machine learning-based approaches can be considered to solve the problem, but they may not be applicable to mask filter inspection if normal and anomaly mask filter data are not sufficient. In such cases, handcrafted image processing methods have to be considered to solve the problem. In this paper, we propose a hierarchical correlation-based approach that combines handcrafted image processing methods to detect anomaly mask filters. The proposed approach combines image rotation, cropping and resizing, edge detection of mask filter parts, average blurring, and correlation-based decision. The proposed approach was tested and analyzed with real mask filters. The results showed that the proposed approach was able to successfully detect anomalies in mask filters.
시스템 약리학 기술을 이용한 통합 생체 심혈관 안전성 예측 모델 구축 연구
오건희 ( Kunhee Oh ),김기석 ( Ki-suk Kim ),이향애 ( Hyang-ae Lee ),한승훈 ( Seunghoon Han ),임동석 ( Dong-seok Yim ) 한국동물실험대체법학회 2018 동물실험대체법학회지 Vol.12 No.1
ICH S7B and E14 guidelines, which were first released in 2005, are focused on hERG blockade and QT prolongation by drugs. However, cumulated evidences on some pitfalls of the guidelines resulted in the initiation of the comprehensive in vitro proarrhythmia assay (CiPA) project. Results of the CiPA are expected to change global regulatory environment on the cardiac safety of drugs. In this study, we reproduced two components of the CiPA to assess the performance of their in silico biomarker using in vitro ion channel assay data. The process to obtain qNET, a biomarker proposed by CiPA, was fully reproduced through in vitro and in silico studies in selected three drugs (verapamil, ranolazine, moxifloxacin). Throughout the reproducing research, we obtained many practical experiences not included in publications by the CiPA. For further understanding of this new regulatory paradigm, clinical ECG in human and another in silico method are to be performed.
오건희 ( Gun Hee Oh ),유태식 ( Tae-sik Yu ),지창우 ( Chang Woo Ji ),박영석 ( Young-seuk Park ),곽인실 ( Ihn-sil Kwak ) 한국수산과학회 2023 한국수산과학회지 Vol.56 No.6
Droughts can alter the dynamics of aquatic ecosystems, including fish communities. This study compared the varia-tions in fish communities in Juam reservoir before and after drought events. Fish sampling was conducted five times from April 2021 to April 2023 using three different sampling methods (kick net, cast net, and gill net). The water level in the reservoir reached its peak (103.73 EL.m, 62.2% capacity) in September 2021, before the drought, and dropped to its lowest point (88.84 EL.m, 17.6% capacity) in April 2023. The dissolved oxygen content in the reser-voir decreased from 27 to 6.3 mg/L between the period with the lowest water level (April 2023) and the period with the highest water level (September 2021). In September 2021, 466 fish were collected, but after one year of drought, the number of individuals decreased to 105. Further, the number of fish collected and water levels were positively correlated. Dominant species exhibited a population decline of over 60% with decreasing water levels. These findings highlight the importance of fishery resource management during drought periods.