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        검색결과 216

        43.
        2021.09 KCI 등재 구독 인증기관 무료, 개인회원 유료
        Two linyphiid spiders, Saitonia kawaguchikonis Saito & Ono, 2001 and Asthenargus niphonius Saito & Ono, 2001 were confirmed from Korea for the first time. Males of S. kawaguchikonis and a female of A. niphonius were collected with pitfall traps in a leaf litter of mixed forests in three National Parks (Hallyeohaesang National Park, Mt. Naejangsan, and Mt. Sobaeksan) during the seasonal surveys for the spider fauna in mountainous terrain from 2018 to 2020. These two species were formerly known from China and Japan, or only from Japan, respectively. The present study describes these two species with measurements, morphological illustrations, and a distribution map. This report adds the genus Asthenargus Simon & Fage, 1922 from Korea to the Korean spider fauna for the first time.
        4,000원
        44.
        2021.09 KCI 등재 구독 인증기관 무료, 개인회원 유료
        To increase the selection efficiency for new cultivars in cut roses during breeding programs, phenotypes of seedlings in two cross combinations, C1 (Rosa hybrida ‘Yellow King’ x ‘Aladin’) and C2 (R. hybrida ‘Evelien’ x ‘Sunny Isle’), were investigated. Although most seedlings showed classic-type flower shapes, some (0.4% - 0.7%) had tomato-shaped flowers, especially at the young plant stage (6 months old). The variation in petal color was high, and pink and pink-mixed flowers were dominant, accounting for 72% in C1 and 76% in C2 at the mature plant stage (13-month-old plants). However, the seedlings had changes in the expression of petal color at different growth stages. The number of petals at the young plant stage had a strong positive correlation with those at the mature plant stage in C1 (r = 0.84***) and C2 (r = 0.73***). Sizes of flowers and petals increased with the growth of the seedlings, and their traits at the young plant stage had positive correlations with those at the mature plant stage in both C1 (r = 0.32***) and C2 (r = 0.39***). Prickle expression on stems was mostly in level 5 at the young plant stage and then dispersed to various classes at the mature plant stage, which increased the variation and coefficient of variation. To select seedlings for new cultivars through breeding processes, breeders should consider the growth stage for targeted traits.
        4,000원
        45.
        2021.06 KCI 등재 구독 인증기관 무료, 개인회원 유료
        절화장미 삽목묘 대량생산 효율을 높이기 위해 국내 육성 절화장미 ‘엔틱컬’(Rosa hybrida ‘Antique Curl’)을 대상으로 생장 활력이 높은 단경삽목묘 주요 절위를 분석하였다. 화경으로부터 순서대로 5매엽 이상을 가진 마디 6개를 삽목(6 절위, Level 1~6)하여 온실과 생장환경조절실에서 각각 30일간 관리 하였다. 그 결과, 삽목 절위가 기부 쪽으로 내려갈수록 발근율과 액아 생장이 억제되었고, 삽수 잎의 황화 및 낙엽 현상이 조기에 나타났다. 잎의 탄수화물 함량은 발근과 신초발아율에 영향을 주지 않았다. 온실환경에서 1~3 절위, 생장환경조절실 에서 1~2 절위의 생장이 가장 우수하였고, 모두 4절위까지는 정상적인 생장을 보였다. 결과적으로 상업용 장미 시설 생산에서 대량삽목번식을 할 때 화경으로부터 5매엽을 가진 네번 째 마디(level 4)까지 가능할 것으로 확인되었다.
        4,000원
        60.
        2020.06 KCI 등재 구독 인증기관 무료, 개인회원 유료
        Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.
        4,000원
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