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토지이용변화에 따른 미계측 유역의 기저유출량 산정 및 평가
이지민, 신용철, 박윤식, 금동혁, 임경재, 이승오, 김형수, 정영훈 한국습지학회 한국습지학회지 16 Pages
한국습지학회 한국습지학회지 2014, Vol.16 No.4 1 303-318 (16 pages)
기후변화와 도시화는 기저유출이 하천유량에 미치는 계절별 특성에 변동성을 초래한다. 이러한 기저유출의 변동성은 수 생태의 혼란을 유발할 뿐만 아니라 불안정한 수자원 관리를 초래할 수 있다. 토지이용변화는 직접유출과 기저유출에 영 향을 주며, 결과적으로 다른 수문순환 요소들에게 미치게 된다. 일반적으로 기저유출은 관측된 하천유량을 통해 산정되지 만, 모델링의 유량 예측을 통해서 미계측 유역의 기저유출량 산정에 유용하게 사용 될 수 있다. 따라서, 본 연구의 목적 은 1) RECESS 통해 alpha factor를 산정한 후, SWAT... -
Differencing Multiuser Detection Using Error Feedback Filter for MIMO DS-UWB System in Nakagami Fading Channel
Kong. Zhengmin, Fang. Yanjun, Zhang. Yuxuan, Peng. Shixin, Zhu. Guangxi 한국인터넷정보학회 KSII Transactions on internet and information systems : TIIS 19 Pages
한국인터넷정보학회 KSII Transactions on internet and information systems : TIIS 2012, Vol.6 No.10 2601-2619 (19 pages)
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Effect of Bacillus mesonae H20-5 Treatment on Rhizospheric Bacterial Community of Tomato Plants under Salinity Stress
Shin Ae Lee, Hyeon Su Kim, Mee Kyung Sang, Jaekyeong Song, Hang-Yeon Weon 한국식물병리학회 The Plant Pathology Journal 10 Pages
한국식물병리학회 The Plant Pathology Journal 2021, 37권 6호 15 662-671 (10 pages)
Plant growth-promoting bacteria improve plant growth under abiotic stress conditions. However, their effects on microbial succession in the rhizosphere are poorly understood. In this study, the inoculants of Bacillus mesonae strain H20-5 were administered to tomato plants grown in soils with different salinity levels (EC of 2, 4, and 6 dS/m). The bacterial communities in the bulk and rhizosphere soils were examined 14 days after H20-5 treatment using Illumina MiSeq sequencing of the bacterial... -
Detection of Clavibacter michiganensis subsp. michiganensis Assisted by Micro- Raman Spectroscopy under Laboratory Conditions
Moisé, s Roberto Vallejo Pé, rez, Hugo Ricardo Navarro Contreras, Jesú, s A. Sosa Herrera, José, Pablo Lara Á, vila 한국식물병리학회 The Plant Pathology Journal 12 Pages
한국식물병리학회 The Plant Pathology Journal 2018, 34권 5호 4 381-392 (12 pages)
the distinguishable markers. Chemometric analyses showed the best performance by the implementation of PCA-LDA supervised classification algorithms applied over Raman spectrum data with 100% of performance in metrics of classifiers (sensitivity, specificity, accuracy, negative and positive predictive value) that allowed us to differentiate Cmm from other endophytic bacteria (Bacillus and Pantoea). The unsupervised KMeans algorithm showed good performance (100, 96, 98, 91 y 100%, respectively). -
Computer-Aided Drug Discovery in Plant Pathology
한국식물병리학회 The Plant Pathology Journal 14 Pages
한국식물병리학회 The Plant Pathology Journal 2017, 33권 6호 1 529-542 (14 pages)
Control of plant diseases is largely dependent on use of agrochemicals. However, there are widening gaps between our knowledge on plant diseases gained from genetic/mechanistic studies and rapid translation of the knowledge into target-oriented development of effective agrochemicals. Here we propose that the time is ripe for computer-aided drug discovery/design (CADD) in molecular plant pathology. CADD has played a pivotal role in development of medically important molecules over the last three...
