• Title/Summary/Keyword: Daan

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A Shinpung Typed Large Grain and High-Yielding Peanut Variety 'Daan' (단경 소분지 대립 다수성 땅콩 신품종 '다안')

  • Pae, Suk-Bok;Lee, Myoung-Hee;Kim, Sung-Up;Hwang, Chung-Dong;Oh, Ki-Won;Jung, Chan-Sik;Song, Deok-Young;Baek, In-Youl;Lee, Young-Hee
    • Korean Journal of Breeding Science
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    • v.49 no.3
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    • pp.224-229
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    • 2017
  • A new peanut variety 'Daan'(Arachis hypogaea ssp. hypogaea L.) was developed at the Department of Southern Area Crop Science, National Institute of Crop Science (NICS) in Milyang 2014. This was developed from the cross between 'Iksan 31' with Virginia typed short stem and 'Dakwang' with Shinpung-typed larger grain. 'Daan' which is a Shinpung plant type had 13 branches per plant and its length of main stem was 44cm. Each pod has two grains with brown testa and long ellipse-shaped large kernel. Its yield components showed 34 pods per plant, 127 g of 100-seed-weight and 75% of pod shelling ratio in the regional yield trials (RYT). Seed quality showed 47.8% of crude oil and 28.3% of protein content. This variety showed resistant to early leaf spot and had more resistant to late leaf spot, stem rot and lodging, compared to reference variety. In the regional yield trials for 3 years 'Daan' was more productive than reference variety by 16% with 5.00 MT/ha for grain production.

Development of Black Box for EV Charging Infra based on Solar Power Generation and ESS (태양광발전 및 ESS 기반 전기차 충전인프라용 블랙박스 개발)

  • Kim, Dong-Wan;Park, Ji-Ho;An, Young-Joo
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.67 no.3
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    • pp.160-167
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    • 2018
  • In this paper, a black box, which is provided the reliability and user safety of home battery energy storage system connected with solar energy generation, is developed. In the developed scheme, a status and diagnosis data of battery management system, power conditioning system, solar energy generation and grid is measured. This status and diagnosis data is stored and displayed in the developed black box. In addition, this status and diagnosis data is stored and displayed in a monitoring system and a smart phone of user. A performance evaluation of the developed black box is carried out using emulator of home battery energy storage system connected with solar energy generation. Consequently, the developed black box is proved its superiority of the reliability and user safety.

Enzyme Inhibitory and Anti-Proliferation Effects of Peanut Skin Extracts Depending on Cultivar (품종별 땅콩 종피 추출물의 효소저해활성 및 암세포주 증식억제 효과)

  • Kim, Min Young;Kim, Hyun-Joo;Lee, Yu-Young;Kim, Mi Hyang;Lee, Jin Young;Lee, Byoungkyu;Lee, Byong Won
    • The Korean Journal of Food And Nutrition
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    • v.32 no.5
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    • pp.511-521
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    • 2019
  • The purpose of this study was to investigate the inhibitory effect of enzyme activity and anti-proliferation of human cancer cell lines (HCT 116, NCI-H460 and MCF-7) of peanut skin depending on cultivars (Arachis hypogaea L. cv. K-Ol, cv. Sinpalkwang, cv. Daan, cv. Heuksaeng) and extraction solvent. Peanut skin was extracted with 80% ethanol, 80% methanol, 80% acetone, and distilled water, followed by analysis of the enzyme inhibitory activity and anticancer activity. Methanol extract of Daan cultivar most effectively inhibited ${\alpha}$-gluosidase (65.08%, 0.025 mg/mL), tyrosinase (82.49%, 2 mg/mL) and ACE (73.61%, 10 mg/mL). The inhibitory effect of peanut skin extracts on colon cancer cell (HCT-116), lung cancer cell (NCI-H460) and breast cancer cell (MCF-7) growth were investigate using MTT assay. The highest anti-proliferation of cancer cell line of peanut skin extracts was observed in the methanol extract of Daan cultivar. The cell viability on HCT 116, NCI-H460 and MCF-7 cell lines of methanol extracts from peanut skin of Daan cultivar was 48.13%, 41.03%, and 36.02% at $200{\mu}g/mL$, respectively. These results suggest that peanut skin extracts may mediate physiological activity, and provide valuable information for the use of peanut byproduct as a functional food material.

FDI observer design for linear system via STWS

  • Ahn, Pius;Kim, Min-Hyung;Kim, Jae-Il;Lee, Moon-Hee;Ahn, Doo-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1423-1427
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    • 1997
  • This paper deals with an algebraic approach to FDI observer design procedure. In general, FDI observer can be designed a sLuenbrger-type and equations for unknown input and actuator fault estimation include derivation of system outputs which is not available from the measurement directly. At this point, this paper presents STWS approach which can convert the derivation procedure to the recursive algebraic form by using its orthogonality and disjointess to alleviate such problems.

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AI 음성인식 기반 차량 인포테인먼트 포렌식 기술 동향

  • Shin, Yeonghun;Kim, Minju;Jeong, Daan;Shon, Taeshik
    • Review of KIISC
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    • v.29 no.6
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    • pp.23-28
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    • 2019
  • 최근의 차량 인포테인먼트 시스템은 모바일 네트워크 및 스마트폰과 연결하여 다양한 서비스를 제공한다. 과거에는 제조사에서 독자적으로 개발한 OEM 인포테인먼트 시스템이 주를 이뤘지만, Android Auto, Apple CarPlay, Amazon Echo Auto 등의 개방형 플랫폼 생태계가 구축됨에 따라 다양한 차량들이 AI 음성인식 기반 차량 인포테인먼트 시스템을 탑재하고 있다. 이러한 차량 내 인포테인먼트 시스템은 스마트폰과 연동되며, 사용자에 대한 방대한 정보를 저장하고 처리함으로써 사용자의 선호도에 따른 On-Demand 서비스 등 다양한 편리성을 제공한다. 하지만 사용자에 대한 다양한 정보를 차량에 연동하여 사용하는 만큼 개인정보 문제로 이어질 수 있다. 그렇기 때문에 차량 인포테인먼트 시스템은 스마트폰과 같이 포렌식 관점에서 많은 증거를 획득할 수 있는 매체가 된다. 더욱이 스마트폰과 연동되는 시스템이기에 기존 모바일 포렌식 기법을 적용할 수 있다. 따라서 본 논문에서는 차량 인포테인먼트 시스템을 대상으로 수행된 포렌식 연구 분석을 통해 기존 연구에서의 포렌식 기법과 보완점을 도출하고자 한다.

Predicting ground-based damage states from windstorms using remote-sensing imagery

  • Brown, Tanya M.;Liang, Daan;Womble, J. Arn
    • Wind and Structures
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    • v.15 no.5
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    • pp.369-383
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    • 2012
  • Researchers have recently begun using high spatial resolution remote-sensing data, which are automatically captured and georeferenced, to assess damage following natural and man-made disasters, in addition to, or instead of employing the older methods of walking house-to-house for surveys, or photographing individual buildings from an airplane. This research establishes quantitative relationships between the damage states observed at ground-level, and those observed from space using high spatial resolution remote-sensing data, for windstorms, for individual site-built one- or two-family residences (FR12). "Degrees of Damage" (DOD) from the Enhanced Fujita (EF) Scale were determined for ground-based damage states; damage states were also assigned for remote-sensing imagery, using a modified version of Womble's Remote-Sensing (RS) Damage Scale. The preliminary developed model can be used to predict the ground-level damage state using remote-sensing imagery, which could significantly lessen the time and expense required to assess the damage following a windstorm.

Evaluation of shelter performance following the 2013 Moore tornado

  • Scott, Pataya L.;Liang, Daan
    • Wind and Structures
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    • v.21 no.4
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    • pp.369-381
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    • 2015
  • Moore, Oklahoma was hit by an EF5 tornado on May 20, 2013. The tornado track slightly overlapped with two previous tornadoes that occurred on May 3, 1999 and May 8, 2003 respectively. A research team from Texas Tech University was deployed to investigate the performance of shelters based on observation of their post-storm conditions. Sixty-one shelter units were further documented by size, manufacturer, and date of installation if available. Then they were crossed referenced with the external databases to determine their compliance with design and construction standards by the International Code Council/National Storm Shelter Association and/or criteria from the Federal Emergency Management Agency publications. Wind intensity was estimated for each shelter location using the EF scale. Results showed a marked increase in the number of exterior underground shelters as well as the popularity of a new in-garage floor underground shelter design. All of the units provided protection for their occupants with no loss of life reported. However, one older shelter had a door failure due to neglect of maintenance. Recommendations were made to improve future performance of shelters.

Enhanced remote-sensing scale for wind damage assessment

  • Luo, Jianjun;Liang, Daan;Kafali, Cagdas;Li, Ruilong;Brown, Tanya M.
    • Wind and Structures
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    • v.19 no.3
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    • pp.321-337
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    • 2014
  • This study has developed an Enhanced Remote-Sensing (ERS) scale to improve the accuracy and efficiency of using remote-sensing images of residential building to predict their damage conditions. The new scale, by incorporating multiple damage states observable on remote-sensing imagery, substantially reduces measurement errors and increases the amount of information retained. A ground damage survey was conducted six days after the Joplin EF 5 tornado in 2011. A total of 1,400 one- and two-family residences (FR12) were selected and their damage states were evaluated based on Degree of Damage (DOD) in the Enhanced Fujita (EF) scale. A subsequent remote-sensing survey was performed to rate damages with the ERS scale using high-resolution aerial imagery. Results from Ordinary Least Square regression indicate that ERS-derived damage states could reliably predict the ground level damage with 94% of variance in DOD explained by ERS. The superior performance is mainly because ERS extracts more information. The regression model developed can be used for future rapid assessment of tornado damages. In addition, this study provides strong empirical evidence for the effectiveness of the ERS scale and remote-sensing technology for assessment of damages from tornadoes and other wind events.

Reconstruction of a near-surface tornado wind field from observed building damage

  • Luo, Jianjun;Liang, Daan;Weiss, Christopher
    • Wind and Structures
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    • v.20 no.3
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    • pp.389-404
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    • 2015
  • In this study, residential building damage states observed from a post-tornado damage survey in Joplin after a 2011 EF 5 tornado were used to reconstruct the near-surface wind field. It was based on well-studied relationships between Degrees of Damage (DOD) of building and wind speeds in the Enhanced Fujita (EF) scale. A total of 4,166 one- or two-family residences (FR12) located in the study area were selected and their DODs were recorded. Then, the wind speeds were estimated with the EF scale. The peak wind speed profile estimated from damage of buildings was used to fit a translating analytical vortex model. Agreement between simulated peak wind speeds and observed damages confirms the feasibility of using post-tornado damage surveys for reconstructing the near-surface wind field. In addition to peak wind speeds, the model can create the time history of wind speed and direction at any given point, offering opportunity to better understand tornado parameters and wind field structures. Future work could extend the method to tornadoes of different characteristics and therefore improve model's generalizability.