• 제목/요약/키워드: SET K-cover

검색결과 214건 처리시간 0.03초

FILTER SPACES AND BASICALLY DISCONNECTED COVERS

  • Jeon, Young Ju;Kim, ChangIl
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제21권2호
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    • pp.113-120
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    • 2014
  • In this paper, we first show that for any space X, there is a ${\sigma}$-complete Boolean subalgebra of $\mathcal{R}$(X) and that the subspace {${\alpha}{\mid}{\alpha}$ is a fixed ${\sigma}Z(X)^{\sharp}$-ultrafilter} of the Stone-space $S(Z({\Lambda}_X)^{\sharp})$ is the minimal basically disconnected cover of X. Using this, we will show that for any countably locally weakly Lindel$\ddot{o}$f space X, the set {$M{\mid}M$ is a ${\sigma}$-complete Boolean subalgebra of $\mathcal{R}$(X) containing $Z(X)^{\sharp}$ and $s_M^{-1}(X)$ is basically disconnected}, when partially ordered by inclusion, becomes a complete lattice.

고랭지배추 재배지 토양보전을 위한 동반작물 지면패랭이 (Phlox subulata, Cover Plant for Soil Conservation in Chinese Cabbage-Cultivated Highland)

  • 김기덕;안재훈;이정태;홍순춘;황선웅;김충국
    • 한국토양비료학회지
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    • 제40권6호
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    • pp.465-470
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    • 2007
  • 고랭지 경사밭에서 동반작물의 토양보전효과를 알아보기 위하여 고랭지 배추재배지에 지면패랭이, 긴병꽃풀 등 지피성 동반작물을 배추와 동반정식, 상시피복정식, 배추단독정식 시, 이들에 의한 피복률 변화, 토양 및 양분유실, 잡초억제 정도를 조사하였다. 지면패랭이의 상시피복구는 배추 정식기에서 종료기까지 100%의 피복률을 보였다. 긴병꽃풀은 정식초기 10%의 피복률이 수확기에는 100%에 이르렀으나, 배추와 동시에 정식한 피복구는 약 60%로 배추에 의한 피복률을 크게 상회하지 못하였다. 토양 및 질소유실이 무지피에서는 $20.8ton\;ha^{-1}$, $2.1kg\;NO_3{^-}-N\;ha^{-1}$, 배추단독으로 재배되거나 배추와 동시에 정식된 동반정식처리구에서는 $8.9{\sim}10.5ton\;ha^{-1}$, $1.5{\sim}2.2kg\;NO_3{^-}-N\;ha^{-1}$이었으나 긴병꽃풀이나 지면패랭이 상시피복구에서는 $0.1{\sim}0.2ton\;ha^{-1}$, $0.2{\sim}0.4kg\;NO_3{^-}-N\;ha^{-1}$로 낮아져, 지피작물에 의한 토양 및 비료 유실저감 효과가 매우 높았다. 이들의 피복은 잡초발생을 약 70% 억제하였다. 따라서 지면패랭이의 이용은 잡초발생억제는 물론 토양유실 및 비료유실을 줄일 수 있어 고랭지배추 재배지에서 환경보전에 크게 기여할 것으로 판단된다.

Adaptive Predictive Control using Multiple Models, Switching and Tuning

  • Giovanini Leonardo;Ordys Andrzej W.;Grimble Michael J.
    • International Journal of Control, Automation, and Systems
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    • 제4권6호
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    • pp.669-681
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    • 2006
  • In this work, a new method of design adaptive controllers for SISO systems based on multiple models and switching is presented. The controller selects the model from a given set, according to a switching rule based on output prediction errors. The goal is to design, at each sample instant, a predictive control law that ensures the robust stability of the closed-loop system and achieves the best performance for the current operating point. At each sample the proposed control scheme identifies a set of linear models that best characterizes the dynamics of the current operating region. Then, it carries out an automatic reconfiguration of the controller to achieve the best possible performance whilst providing a guarantee of robust closed-loop stability. The results are illustrated by simulations a nonlinear continuous and stirred tank reactor.

캐릭터 인형용 밀착커버 패턴개발 프로세스의 가이드라인 (Guidelines of 2D Pattern Development Process for 3D Fitted Cover of Character Toys)

  • 이희란
    • 한국의류산업학회지
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    • 제19권5호
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    • pp.635-645
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    • 2017
  • The industry of character toys is increasing and new characters are constantly being developed. However, the development of 2D cover patterns for toys is time-consuming due to frequent pattern modifications made through trial and error. Studies are now underway to obtain 2D clothing patterns from 3D body data, however, little research has been done on 2D pattern of character toys. This study suggests efficient guidelines to develop 2D cover patterns with a reasonable accuracy and processing time. Two 3D models of a dog and rabbit were used to develop 2D cover patterns. Independent variables of this study are set as 3 levels of triangle area (small, medium, and large) that influence the efficacy of 3D and 2D pattern development. The determination of the appropriate triangular area was based on the area and shape change of the 2D pattern. A medium or large triangle area was shown to be suitable for a character dog with a smooth curved surface. However, the appropriate triangle area was small if the characteristics of the curved surface are complicated as in the case of rabbit. The head of a dog (a double-curved surface) and the curved forepaw of a rabbit (a triangular area) should be small when the characteristics of the curved surface (such as the hind leg of a rabbit having a large convex surface and a small surface area) are complicated. Grouping by 3D surface characteristics could be a suitable guideline for the triangle area selection.

Regular Difference Covers

  • Arasu, K.T.;Bhandari, Ashwani K.;Ma, Siu-Lun;Sehgal, Surinder
    • Kyungpook Mathematical Journal
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    • 제45권1호
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    • pp.137-152
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    • 2005
  • We introduce the concept of what we call "regular difference covers" and prove many nonexistence results and provide some new constructions. Although the techniques employed mirror those used to investigate difference sets, the end results in this new setting are quite different.

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얼치기완두 피복재배가 고추 주요 해충 및 천적 발생에 미치는 영향 (The Influence of Cover-crop (Vicia tetrasperma) Cultivation on the Occurrence of Major Insect Pests and their Natural Enemies in Pepper, Capsicum annum)

  • 한은정;홍성준;박종호;조정래;최재필;김용기;심창기;김민정;지형진
    • 한국환경농학회지
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    • 제32권1호
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    • pp.35-41
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    • 2013
  • 얼치기완두 피복재배가 고추 주요 해충 및 천적에 미치는 영향을 평가하기 위하여 황색점착트랩을 이용하여 절지동물군의 발생을 조사하였으며, 고추에서 발생한 진딧물과 총채벌레의 밀도, 그리고 총채벌레와 담배나방에 의한 피해를 조사하였다. 황색점착트랩을 이용한 조사 결과, 고추 정식 전과 재배 초기에 얼치기완두에서 고치벌, 진딧물 유시충, 총채벌레가 밀도가 높았다. 하지만 얼치기완두 피복재배구의 고추에서는 진딧물류가 유의하게 낮게 발생하였으며, 총채벌레류와 담배나방은 유의한 차이를 보이지 않았다.

FRAGSTATS를 활용한 경관다양성의 시공간적 분석 (Temporal-Spatial Analysis of Landscape Diversity using FRAGSTATS)

  • 권오성;나정화;구지나;김진효
    • 한국환경복원기술학회지
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    • 제18권3호
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    • pp.39-50
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    • 2015
  • This research selected Daegu Metropolitan City representing a combination of natural space and urban space for this case study. To achieve this, a prerequisite was to set up an optimal block size to evaluate landscape diversity of the research site by using a RPR-Area Curve. Further, landscape diversity evaluation was conducted based on land cover map by using FRAGSTATS to analyze spatio-temporal changes. Notably, this research regarded it as the most significant to set forth criteria in order to apply landscape diversity to the development plans of the newtown and outskirt of a city under high pressure development. Results derived from this research are summarized as follows. According to the results derived from establishing the optimal block size, a size about $2km^2$ was analyzed to measure landscape diversity of the research site. Also, according to the results derived from land diversity evaluation based on land cover map, land diversity was highly measured around urban stream such as Nakdong River and Geumho River, and in particular, the value of landscape diversity was measured considerably high around the urban parks. Results derived from analysis on spatio-temporal changes of land diversity demonstrated that a certain level of urban development exerted a positive effect on an increase in land diversity, but consistent urban development lowered a value of landscape diversity. Results derived from regression analysis to set forth the optimal urban space showed that an urban area of a space about $2km^2$ exerted a positive effect at a rate of about 0~43.3% and a negative effect at a rate about 43.3~100%. In conclusion, the results of this research are considered to provide important basic data for future urban and landscape planning. Nonetheless, as only the layout on the 2D plane was analyzed in this research, further research in future is required to complexly consider diverse factors such as height of structure and change in visible real area arising from geographical features.

딥러닝을 이용한 소규모 지역의 영상분류 적용성 분석 : UAV 영상을 이용한 농경지를 대상으로 (Applicability of Image Classification Using Deep Learning in Small Area : Case of Agricultural Lands Using UAV Image)

  • 최석근;이승기;강연빈;성선경;최도연;김광호
    • 한국측량학회지
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    • 제38권1호
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    • pp.23-33
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    • 2020
  • 최근 UAV (Unmanned Aerial Vehicle)를 이용하여 고해상도 영상을 편리하게 취득할 수 있게 되면서 저비용으로 소규모 지역의 관측 및 공간정보 제작이 가능하게 되었다. 특히, 농업환경 모니터링을 위하여 작물생산 지역의 피복지도 생성에 대한 연구가 활발히 진행되고 있으며, 랜덤 포레스트와 SVM (Support Vector Machine) 및 CNN(Convolutional Neural Network) 을 적용하여 분류 성능을 비교한 결과 영상분류에서 딥러닝 적용에 대하여 활용도가 높은 것으로 나타났다. 특히, 위성영상을 이용한 피복분류는 위성영상 데이터 셋과 선행 파라메터를 사용하여 피복분류의 정확도와 시간에 대한 장점을 가지고 있다. 하지만, 무인항공기 영상은 위성영상과 공간해상도와 같은 특성이 달라 이를 적용하기에는 어려움이 있다. 이러한 문제점을 해결하기 위하여 위성영상 데이터 셋이 아닌 UAV를 이용한 데이터 셋과 국내의 소규모 복합 피복이 존재하는 농경지 분석에 활용이 가능한 딥러닝 알고리즘 적용 연구를 수행하였다. 본 연구에서는 최신 딥러닝의 의미론적 영상분류인 DeepLab V3+, FC-DenseNet (Fully Convolutional DenseNets), FRRN-B (Full-Resolution Residual Networks) 를 UAV 데이터 셋에 적용하여 영상분류를 수행하였다. 분류 결과 DeepLab V3+와 FC-DenseNet의 적용 결과가 기존 감독분류보다 높은 전체 정확도 97%, Kappa 계수 0.92로 소규모 지역의 UAV 영상을 활용한 피복분류의 적용가능성을 보여주었다.

HEWITT REALCOMPACTIFICATIONS OF MINIMAL QUASI-F COVERS

  • Kim, Chang Il;Jung, Kap Hun
    • Korean Journal of Mathematics
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    • 제10권1호
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    • pp.45-51
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    • 2002
  • Observing that a realcompactification Y of a space X is Wallman if and only if for any non-empty zero-set Z in Y, $Z{\cap}Y{\neq}{\emptyset}$, we will show that for any pseudo-Lindel$\ddot{o}$f space X, the minimal quasi-F $QF({\upsilon}X)$ of ${\upsilon}X$ is Wallman and that if X is weakly Lindel$\ddot{o}$, then $QF({\upsilon}X)={\upsilon}QF(X)$.

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Effect of the different cover crop incorporation on glomalin-related soil protein and soybean and maize growth

  • Higo, Masao;Gunji, Kento;Isobe, Katsunori
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.344-344
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    • 2017
  • The glycoprotein known as glomalin-related soil protein (GRSP) is abundantly produced on the hyphae and spores of arbuscular mycorrhizal fungi (AMF) in soil and roots. GRSP play a decisive role in the soil aggregation, but GRSP was also sensitive to agricultural managements. Thus, our objectives were to assess the effect of different cover crop incorporation on the GRSP content in soil and growth of subsequent soybean and maize. Pot experiments with the incorporation of four cover crops were set up. The same amount (666g) of aboveground plant parts of wheat (AMF host), hairy vetch (AMF host), mustard (non-host) and rapeseed (non-host) was separately incorporated into soils. The aboveground plant parts and roots of soybean and maize were grown in each incorporated pots and sampled at 6 and 9 weeks after sowing. Our results showed that the different cover crops incorporation affected soil biological and chemical properties such as EC, $NO_3-N$ content, ${\beta}-glucosidase$ activity, alkaline phosphatase (ALP) activity and GRSP content. The soil EC and $NO_3-N$ content in the hairy vetch, mustard and rapeseed was higher compared to the wheat. The ${\beta}-glucosidase$ activity in the wheat and hairy vetch was significantly higher than that in the mustard and rapeseed, and the ALP activity in the wheat was significantly higher than that in the hairy vetch, mustard, and rapeseed. The GRSP content in the mustard and rapeseed was significantly lower than that of the hairy vetch and wheat. Moreover, The top dry weight and leaf area of soybean and maize in the hairy vetch at 6 weeks were significantly higher compared to the other treatments. Our results indicated that the incorporation of mustard and rapeseed may cause indirectly the decrease of GRSP content and soil enzyme activity in soil. One possible explanation for the decrease of GRSP in non-AMF host crop treatments may be the decrease of AMF density in the soil. AMF are not able to form a symbiotic relationship with Brassicaceae roots due to the release of anti-fungal compounds. This means the AMF may not be able to produce GRSP in the soil. However, the differences in the benefit of cover crop incorporation were shown only by a pot experiment. Comparative investigations of crop residue managements would be applied to both pot experiment and field study to clarify a better selection of cover crops in rotation to encourage GRSP production.

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