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멀티빔소나 및 천부지층탐사기를 이용한 하벌천퇴의 발달양상 및 규모파악
이방희(Lee Bang-Hee),김진호(Kim Jin-Ho) 한국마린엔지니어링학회 2007 한국마린엔지니어링학회 학술대회 논문집 Vol.2007 No.-
The Habeol sandy body is a tidal sand ridge located in the Gyeonggi Bay, which is macrotidal environment with tidal ranges of up to 9m(Park, 2006). This sandy body is characterized as a bugle-shape which is getting narrower toward NE with 9.2㎞ length and 5.4 ~ 0.8㎞. This is present in water -3 ~ 3lm(below DLI)) and has trough(> 35m DL) in the each side. As a result of sub-bottom profile analysis, this deposits are consist of three seismic unit(Unit Ⅰ, Ⅱ, Ⅲ). Interpretation of seismic and lithologic data has shown that the regional sea-level changes are not only play a major role in the evolution of sand body and the seabed topography and tidal flow have achieved regime existence of sand body in the presenu about(< 5,000yr B.P.).
채취시기가 다른 국내외 녹차잎의 기능성분 함량, 뇌세포 생존 및 대사 효소 활성 조절 효과 조사
이방희(Bang-Hee Lee),전세현(Sae Hyun Jeon),정하나(Hana Jeong),최정(Jung Choi),김영민(Young-Min Kim),양광열(Kwang-Yeol Yang),남승희(Seung-Hee Nam) 한국식품과학회 2020 한국식품과학회지 Vol.52 No.5
본 연구에서는 녹차 국내종(보향, 참녹), 외래종(후슌, 야부기다)의 채취시기를 달리하여 테아닌, GABA 등 유용 성분 함량을 분석하였고, 항산화능, α-glucosidase 활성 억제, HMG-CoA 저해도, 세포독성 측정, 뇌 신경세포 보호 효과, 항 스트레스 효과를 조사하여 유용 성분과의 상관성을 파악하고자 하였다. 테아닌과 GABA 함량은 모든 품종에서 채취시기가 늦어질수록 함량이 감소하는 경향을 나타내었다. 총 아미노산 함량에서는 채엽시기가 늦어질수록 보향 품종에서 증가하는 경향을 나타내었고 후슌, 야부기다 그리고 참녹은 여름차에서 감소 후 다시 가을차에서 증가하는 경향을 보였다. 총페놀과 플라보노이드의 함량과 항산화능을 조사했을 때 ABTS는 후슌, 보향, 참녹에서 플라보노이드 농도와 비례하는 경향을 보였으며, 재래 녹차와 야부기다는 총페놀의 농도와 비례하는 경향을 나타내었다. DPPH radical 소거능은 참녹을 제외한 모든 시료에서 여름차의 활성이 가장 높고 가을차에서 활성이 다시 감소하는 것을 확인하였다. 카테킨류 측정에서 EGCg 함량은 카테킨류에서 50% 이상을 차지했고, 총 카테킨 함량과 Ecg, EGCg는 종과 관계없이 채취 시기가 늦어질수록 증가하는 경향을 보였으며 EGC는 감소하는 경향을 보였다. 품종별 봄, 여름, 가을차를 시료로 하여 측정한 α-glucosidase 저해활성과 HMG-CoA reductase 저해능은 채취 시기가 늦어질수록 증가함을 보였고 그 중 가을에 채취한 참녹에서의 저해 활성이 각각 72.93%, 69.78%로 두 저해능 측정에서 가장 높은 저해활성을 보였다. 또한 뇌신경세포(SH-SY5Y)를 이용한 세포 독성 측정에서 참녹 품종이 96.34%로 가장 높은 세포생존율을 보였고 항스트레스 측정에서 269.2 ng/mL로 가장 낮은 cortisol 함량이 확인되었다. This study was performed to compare nutritional compounds and physiological functions of five domestic and imported green tea cultivars at three time points. The five cultivars were compared for theanine, γ-aminobutyric acid, and catechin content by LC-MS/MS and HPLC. Furthermore, the five tea cultivars were functionally characterized with respect to antioxidant activity, brain cell protective effect, and inhibitions of α-glucosidase and HMG-CoA reductase activities. Among green tea cultivars, Chamnok had the highest content of catechins (198 mg/g DW), theanine (11.89 mg/g DW), and tannin (23.6 mg/g DW). Considering functional properties, Chamnok treatment resulted in the maximum viability of brain cells and reduced the cortisol content of SH-SY5Y cells. The inhibition of α-glucosidase and HMG-CoA reductase was the strongest following Chamnok treatment (72.9% and 69.8%, respectively). These results indicate that Chamnok could be optimal for consumption or favorable processing owing to its high nutritional compounds, such as theanine and catechin, and remarkable brain cell protective effects.
해양환경 예측정보를 활용한 인공지능 분석 기반의 최적 안전항로 연구
엄대용(Dae-yaoung Eeom),이방희(Bang-hee Lee) 한국항해항만학회 2023 한국항해항만학회 학술대회논문집 Vol.2023 No.1
최근 스마트선박 개발에 발맞춰 정확하고 세밀한 실시간 해양환경 예측정보의 요구가 확대되고 선박에 직접 지원하기 위한 환경이 확보됨에 따라 최적항로 분야에서도 다양한 해양환경을 고려한 정보 생산 및 평가 연구가 필요하다. 스마트선박에서 해양환경의 위험도및 에너지 소비의 불확실성을 줄이면서 최적항로를 산출할 수 있는 알고리즘은 2단계로 구분하여 개발하였다. 1단계는 해양환경정보들과 선박자동식별시스템(AIS)내에 선박의 위치·상태정보를 결합해 프로파일을 생성하였다. 2단계는 구성한 프로파일 결과를 이용하여 해양환경 에너지맵을 정의할 수 있는 모델을 개발하였고, 약 60만개의 데이터를 반영할 수 있도록 인공지능 머신러닝 기법 중 Random Forest를 적용하여회귀식을 생성하였다. Random Forest 회귀 모델의 결정계수(R2)는 0.89 를 보였다. 생성한 모델에 2021년 6월 1일∼3일의 해양환경 예측정보를 이용하여 Dijikstra 최단경로 알고리즘을 적용해 최적 안전항로를 산출하고 맵에 표출했다. Random Forest 회귀 모델로 산출된 항로는 유선적이고 해양환경 예측정보의 상태를 감안하며 항로를 도출하는 결과를 보였다. 본 연구의 실시간 해양환경 예측정보 기반의 항로 산출 개념은 선박의 이동 경향성을 반영한 현실적이면서 안전한 항로 산출이 가능하고, 향후 경제성, 안전성, 친환경성 평가 모델로 범위로 확대할 수 있을 것으로 기대된다. Recently, development of maritime autonomoust surface ships and eco-friendly ships, production and evaluation research considering various marine environments is needed in the field of optimal routes as the demand for accurate and detailed real-time marine environment prediction information expands. An algorithm that can calculate the optimal route while reducing the risk of the marine environment and uncertainty in energy consumption in smart ships was developed in 2 stages. In the first stage, a profile was created by combining marine environmental information with ship location and status information within the Automatic Ship Identification System (AIS). In the second stage, a model was developed that could define the marine environment energy map using the configured profile results, A regression equation was generated by applying Random Forest among machine learning techniques to reflect about 600,000 data. The Random Forest coefficient of determination (R2) was 0.89, showing very high reliability. The Dijikstra shortest path algorithm was applied to the marine environment prediction at June 1 to 3, 2021, and to calculate the optimal safety route and express it on the map. The route calculated by the random forest regression model was streamlined, and the route was derived considering the state of the marine environment prediction information. The concept of route calculation based on real-time marine environment prediction information in this study is expected to be able to calculate a realistic and safe route that reflects the movement tendency of ships, and to be expanded to a range of economic, safety, and eco-friendliness evaluation models in the future.
수생식물을 이용한 엔도설판(α, β) 및 페니트로치온의 제거
김종향(Jong Hyang Kim),이방희(Bang Hee Lee),허종수(Jong Sou Hur),이근선(Geun Seon Lee),고성철(Sung Cheol Koh) 한국유화학회 2009 한국응용과학기술학회지 Vol.27 No.3
A phytoremediation study has been conducted to see if some known aquatic plants can remove the pesticides, endosulfan-α, β and fenitrothion which are frequently used in the crop protection and golf course management, and are likely to exist as residual pollutants in the aquatic ecosystems. Among the five aquatic plants tested in the microcosms, water lily Nymphaea tetragona Georgi showed the highest degradation efficacies (85~95%) for the three pesticides as opposed to the control(13~26%). The efficacies for the other plants were in the range of 46~80% in the order of Pistia stratiotes, Cyperus helferi, Eichhornia crassipes, and Iris pseudoacorus. Fenitrothion, an organo-phosphorus pesticide, was much more vulnerable to the phytoremediation than the organo-chlorine pesticides, endosulfan-α and endosulfan-β. The kinetic rate constants (min-1) for removal of the three pesticides were more than 10 times higher than the control (non-planting) in case of Nymphaea tetragona Georgi. This aquatic plant showed kinetic rate constants about 2 times as much as the lower kinetic rate constants shown by Iris pseudoacorus. The reason for the highest degradation efficacy of water lily would be that the plant can live in the sediment and possess roots and broad leaves which could absorb or accumulate and degrade more pollutants in association with microbes. These results indicate that some of the selected aquatic plants planted near the agricultural lands and wetlands could contribute to remediation of pesticides present in these places, and could be applicable to protection of the aquatic ecosystems.
토양 중 미규제된 유기오염물질 분석연구 -다환방향족탄화수소 16종을 중심으로-
김종향 ( Jong Hyang Kim ),강종민 ( Jong Min Gang ),이방희 ( Bang Hee Lee ),허종수 ( Jong Sou Her ) 한국유화학회 2011 한국응용과학기술학회지 Vol.28 No.1
The aim of study was to investigate polluted amounts 16 PAHs in railroad(waste railway ties) area, factory area and land-fill area. All of the samples were analyzed by GC-MSD(SIM mode), and the recovery range, detection limit and standard deviation obtained by this experiment were 73.88~94.75%, 0.009~2.252 ㎍/kg and 1.861~12.373, respectively. The concentrations of total PAHs(t-PAHs) and total carcinogenic PAHs(t-PAHcarc) in soils of three area were in the range of 12.54~3274.95 ㎍/kg on a wet weight basis with a mean value of 499.8 ㎍/kg and 0~122.77 ㎍/kg with a mean value of 20.16 ㎍/kg, respectively. The correlation between t-PAHs and t-PAHcarc appeared very high in railroad(waste railway ties) area (R2=0.8301), factory area (R2=0.9217) except land-fill area(R2=0.3782), indicated that t-PAHcarc concentration increases in proportion with t-PAHs.