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Jo, Yimhyun,Cheon, Jae Yeong,Yu, Jeonghun,Jeong, Hu Young,Han, Chi-Hwan,Jun, Yongseok,Joo, Sang Hoon The Royal Society of Chemistry 2012 Chemical communications Vol.48 No.65
<P>We report the preparation of highly interconnected ordered mesoporous carbon–carbon nanotube nanocomposites which show Pt-like dye-sensitized solar cell (DSSC) efficiency and remarkable long-term durability as DSSC counter electrodes.</P> <P>Graphic Abstract</P><P>Nanocomposites of OMC and CNTs are prepared for Pt-free, highly efficient counter electrodes of DSSCs. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c2cc30923h'> </P>
YongSeok Choi,HwaYoung Seo,ShinHyuk Jo,InSu Hwang,DeogKee Park 한국응용곤충학회 2017 한국응용곤충학회 학술대회논문집 Vol.2017 No.10
We selected the trap plant that could attract Ricania spp. adult effectively and the systemic chemicals that could beused at the same time in 2016. Ricania spp. has recently spread throughout Chungnam province since its occurrence in2010. We found that sunflowers could attract them effectively in pre-oviposition period of Ricania spp. and selected thesystemic chemicals could be used with sunflower simultaneously. The sunflower attracted their adults about 90 to 95percent in pre-oviposition period. The systemic chemicals was dinotefuran SG 50% and the control effect of it was 96.2%.The control effect of dinotefuran transferred to sunflower was excellent, and the density of adult in blackberry field couldbe kept low in pre-poviposion period of Ricania spp. The above results show the possibility of using sunflower as atrap plant to control Ricania spp. adults.
김용석 ( Yongseok Kim ),최원준 ( Wonjun Choi ),심교문 ( Kyo-moon Shim ),허지나 ( Jina Hur ),강민구 ( Mingu Kang ),조세라 ( Sera Jo ) 한국농림기상학회 2021 한국농림기상학회지 Vol.23 No.4
본 연구에서는 서리발생과 관련된 기상요인을 선정하여 랜덤포레스트(RF)를 이용한 서리발생 유무 분류 모형을 구축하였고, 이와 더불어 기상인자의 중요도와 데이터 세트를 구성하는 방법들을 비교하는 실험을 수행하였다. 그 결과, 서리발생에 대한 분류 모형을 구축할 경우에 데이터 세트의 양이 많더라도 모형 구축을 위해 학습하기 위한 데이터 세트에서 특정 값이 월등히 많은 불균형은 모형의 예측력에 좋지 못한 영향을 미치는 것으로 분석되었다. 또한, 이번 연구에서 수집된 25지역의 서리발생과 관련된 기상요인에 대해 지역별로 그룹화하여 중요도가 높은 기상요인을 반영한 모형 구축하는 것보다 하나의 통합된 모형을 구축하는 것이 더 효율적인 것으로 나타났다. 이번 연구를 통해 분석된 결과와 서리예측을 위한 기상요인에 대한 추가 분석 연구를 수행한다면 정확도 높은 서리발생 예측 모형을 구축할 수 있을 것이라 예상한다. In this study, we constructed using Random Forest(RF) by selecting the meteorological factors related to the occurrence of frost. As a result, when constructing a classification model for frost occurrence, even if the amount of data set is large, the imbalance in the data set for development of model has been analyzed to have a bad effect on the predictive power of the model. It was found that building a single integrated model by grouping meteorological factors related to frost occurrence by region is more efficient than building each model reflecting high-importance meteorological factors. Based on our results, it is expected that a high-accuracy frost occurrence prediction model will be able to be constructed as further studies meteorological factors for frost prediction.
기후 및 토양 정보를 고려한 포도의 재배적지 구분 연구
김용석 ( Yongseok Kim ),최원준 ( Wonjun Choi ),허지나 ( Jina Hur ),심교문 ( Kyo-moon Shim ),조세라 ( Sera Jo ) 한국농림기상학회 2020 한국농림기상학회지 Vol.22 No.4
본 연구에서는 포도의 생육과 관련된 연평균기온, 생육기 기온, 성숙기 기온, 극최저기온, 저온요구도, 강수량과 같은 기후인자와 심토토성, 침식정도, 배수등급, 유효토심, 경사도, 자갈함량, 지형과 같은 토양인자를 선정하여 기후와 토양의 조건을 최대저해인자법을 이용해 통합한 재배적지 구분 연구를 수행하였다. 재배적지는 적지, 가능지, 저위생산지&부적지의 3단계로 구분하였으며, 연구결과는 전국 면적을 기준으로 적지가 3.43%로 나타났고, 가능지는 10.61%로 나타났다. 지역별로 적지는 경상북도가 1.15%로 가장 넓은 것으로 나타났고, 충청남도가 0.72%와 충청북도가 0.44%로 나타났다. 가능지는 경상북도가 2.67%로 가장 넓었으며, 충청남도가 2.11%, 전라남도가 1.54%인 것으로 나타났다. It is difficult for farmers to select new crops for cultivation to increase income. So we conducted land suitability assessment of grapes with soil and climate information related to crop growth. At first, land suitabilities for grapes were classified into three categories (most suitable, suitable, low productive & not suitable areas) according to soil and climate conditions, respectively. In details, land suitability with respect to soil was assessed by soil morphological and physical properties including soil texture, drainage class, available soil depth, slope and gravel content, whereas one in accordance with climate was evaluated by average annual temperature, temperature during the growing season, temperature during maturation, the lowest temperature, chilling requirement and precipitation during the growing season. Secondly, we combined both soil and climate classification results using a most-limiting characteristic method. Maps showing the suitable land for grapes cultivation were drawn. The results indicate that the most suitable area of cultivation for grapes in south Korea was 3.43% and suitable (possible) area was 10.61%. This study may help to preserve land and increase the productivity through providing valuable information regarding where more suitable areas for grapes are located.