• Title/Summary/Keyword: 자원이용지수

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Development of DNA markers linked to resistant gene to Psmodiophora brassicae Woronin in Chinese cabbage (배추무사마귀병 저항성 유전자와 연관된 DNA 마커개발)

  • 한영한;우종규;박철호
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2002.11b
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    • pp.50-50
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    • 2002
  • 배추무사마귀병 저항성 유전 양식을 증명하기 위해서 CR계 F1에서 유래된 F2 세대를 포장시험과 유묘 검정을 실시하였다. F$_2$ 세대의 7 집단은 단인자우성으로 3:1의 분리비를 보였고, 5 집단은 중복 유전자가 관여하는 9:7의 유전 분리비를 보였다. 배추무사마귀병 저항성 유전자와 연관된 DNA 마커를 개발하기 위하여 CR-Saerona F$_2$ 집단을 배추무사마귀병 발병포장에서 재배하여 저항성 평가를 하였다. 220개의 임의의 프라이머를 이용하여 BSA-RAPD (Bulked segregant analysis-Randomly amplified polymorphic DNA)를 수행하였지만 CR-Saerona F2 집단에서 배추무사마귀병 저항성 유전자와 꼭 들어맞는 DNA 마커는 발견되지 않았다. 300개의 임의의 프라이머를 이용하여 CR-Saerona에서 유래된 F$_2$ 세대를 QTL 분석하였다. 저항성 정도는 발병지수에 따라 조사되었고 QTL 분석을 위해 one-way ANOVA 테스트를 하였다. 통계분석 결과 두 프라이머(K16-1, L2-2)가 저항성과의 상관관계를 보여 주었으나 유의성은 인정되지 않았다.

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DVSF: A Distributed System for Virtual Screening (DVSF: 가상 검색을 위한 분산 시스템)

  • 황석찬;최종선;이상근;임재훈;최재영;노경태;이지수
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.1
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    • pp.25-32
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    • 2003
  • As one of a new generation of industries, biotechnology is currently spotlighted, and is creating new research and industrial areas that can be readily combined with information technology. Among them, virtual screening is a method for new drug design which uses computer simulation to virtually design active drug candidates for special disease. In this paper, we present a distributed system for virtual screening, called DVSF(Distributed Virtual Screening Facilities). DVSF is designed and developed to perform virtual screening efficiently on logically distributed idle or strategic resources in a small or medium scale laboratory.

Spatial Distributions of the Ambient Levels of Air Pollutants in Seoul Metropolitan Area (대기오염도의 공간적 분포 변화 분석 -수도권 지역을 대상으로-)

  • Kwon, Oh Sang;An, Donghwan;Kim, Wonhee
    • Environmental and Resource Economics Review
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    • v.13 no.1
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    • pp.83-117
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    • 2004
  • This study investigates the spatial distributions of the ambient levels of air pollutants ($SO_2$, $NO_2$, $O_3$, CO, and PM) in Seoul metropolitan area using the data obtained by the air pollution observation stations. This study estimated a non-parametric kernel density function and two types of inequality indices, Gini and Entropy. Our estimation results show that the degree of inequality in spatial distribution of air pollution, in general, tends to be stable or slightly decreasing for the period of 1990~2001. In addition, we found that there are significant dynamics of air pollution levels in terms of spatial ranking.

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Cooperate Performance Analysis Using Portfolio Approaches (포트폴리오 방식을 이용한 기업의 경영성과 분석)

  • Kim, Jeong In;Park, Dae Soon
    • Environmental and Resource Economics Review
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    • v.17 no.1
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    • pp.51-81
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    • 2008
  • In this paper, economic performance was measured through portfolio analysis for environmentally friendly companies from September 2004 to September 2005. By using portfolio analysis, rate of revenue for environmentally friendly company is twelve to seven teen percent higher than the KOSPI, and KOSPI200 based companies. Except medical and pharmatical industry, environmentally friendly companies had shown low risk and high returns of revenue for banking and financing, chemical and electronic industry. As SRI fund is emerging as a important guideline in recent years, valuation of a cooperate will be very important tool for the financing business area in the future.

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Vegetation Cover Type Mapping Over The Korean Peninsula Using Multitemporal AVHRR Data (시계열(時系列) AVHRR 위성자료(衛星資料)를 이용한 한반도 식생분포(植生分布) 구분(區分))

  • Lee, Kyu-Sung
    • Journal of Korean Society of Forest Science
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    • v.83 no.4
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    • pp.441-449
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    • 1994
  • The two reflective channels(red and near infrared spectrum) of advanced very high resolution radiometer(AVHRR) data were used to classify primary vegetation cover types in the Korean Peninsula. From the NOAA-11 satellite data archive of 1991, 27 daytime scenes of relatively minimum cloud coverage were obtained. After the initial radiometric calibration, normalized difference vegetation index(NDVI) was calculated for each of the 27 data sets. Four or five daily NDVI data were then overlaid for each of the six months starting from February to November and the maximum value of NDVI was retained for every pixel location to make a monthly composite. The six bands of monthly NDVI composite were nearly cloud free and used for the computer classification of vegetation cover. Based on the temporal signatures of different vegetation cover types, which were generated by an unsupervised block clustering algorithm, every pixel was classified into one of the six cover type categories. The classification result was evaluated by both qualitative interpretation and quantitative comparison with existing forest statistics. Considering frequent data acquisition, low data cost and volume, and large area coverage, it is believed that AVHRR data are effective for vegetation cover type mapping at regional scale.

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Improving the Implementation Complexity of the Latency-Optimized Fair Queuing Algorithm (최적 레이턴시 기반 공정 큐잉 알고리즘의 구현 복잡도 개선)

  • Kim, Tae-Joon;Suh, Bong-Sue
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.6B
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    • pp.405-413
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    • 2012
  • WFQ(Weighted Fair Queuing) is the most popular fair queuing algorithm to guarantee the Quality-of-Service(QoS), but it has the inherent drawback of a poor resource utilization, particularly under the low rate traffic requiring a tight delay bound. It was recently identified that the poor utilization is mainly due to non-optimized latency of a traffic flow and then LOFQ(Latency-Optimized Fair Queuing) to overcome the drawback was introduced. The LOFQ algorithm, however, renews their optimal latencies for all flows whenever a new flow arrives, which results in the high implementation complexity of O($N^2$).This paper is to reduce thecomplexity to O(1). The proposed method is first to derive the optimal latency index function from the statistical QoS characteristics of the offered load, and then to simply calculate the optimal latency index of the arriving flow using the function.

Implementation and Analysis of Dynamic Resource Allocation for Docker in Cloud Environment (클라우드 환경에서 도커의 동적 자원 할당 구현 및 효과 분석)

  • Choi, Sungmin;Song, Sungjin;Yu, Heonchang;Chung, KwangSik;Park, JiSu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.140-143
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    • 2015
  • 클라우드 컴퓨팅에서 가상화 기술은 단일 물리 자원을 논리적인 자원으로 분할해 다수의 시스템이 병행적으로 운용될 수 있는 환경을 구축하여 준다. 이에 컨테이너 기술 또한 프로세스의 격리를 이용해서 가상화와 같은 병행 수행 환경을 제공한다. 게다가 컨테이너 기술은 하드웨어를 추상화하는 절차가 없기 때문에 기존의 가상화 기술에 비해 오버헤드가 현저히 작다. 따라서 기존의 하이퍼바이저 자리를 대체하기 위한 수단으로 컨테이너 기술의 가능성이 점쳐지고 있다. 본 논문에서는 상용화 된 컨테이너 기술인 도커를 기존의 클라우드-가상화 환경에 도입하였을 때 발생되는 문제를 분석하여 해결 방안을 제안하고 실험을 통해 그 효과를 비교하였다. 기존의 도커는 정적 자원 할당만을 지원하며 이는 클라우드 환경에서 급격한 변화에 유연하게 대처하지 못한다는 단점을 가지고 있다. 따라서 도커에 동적 자원 할당 기술을 적용하여 기존의 단점을 보완하고 클라우드 환경에서 컨테이너 기술의 운영 효율성을 제고한다.

Impact of Oil Price Shocks on Stock Prices by Industry (국제유가 충격이 산업별 주가에 미치는 영향)

  • Lee, Yun-Jung;Yoon, Seong-Min
    • Environmental and Resource Economics Review
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    • v.31 no.2
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    • pp.233-260
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    • 2022
  • In this paper, we analyzed how oil price fluctuations affect stock price by industry using the non-parametric quantile causality test method. We used weekly data of WTI spot price, KOSPI index, and 22 industrial stock indices from January 1998 to April 2021. The empirical results show that the effect of changes in oil prices on the KOSPI index was not significant, which can be attributed to mixed responses of diverse stock prices in several industries included in the KOSPI index. Looking at the stock price response to oil price by industry, the 9 of 18 industries, including Cloth, Paper, and Medicine show a causality with oil prices, while 9 industries, including Food, Chemical, and Non-metal do not show a causal relationship. Four industries including Medicine and Communication (0.45~0.85), Cloth (0.15~0.45), and Construction (0.5~0.6) show causality with oil prices more than three quantiles consecutively. However, the quantiles in which causality appeared were different for each industry. From the result, we find that the effects of oil price on the stock prices differ significantly by industry, and even in one industry, and the response to oil price changes is different depending on the market situation. This suggests that the government's macroeconomic policies, such as industrial and employment policies, should be performed in consideration of the differences in the effects of oil price fluctuations by industry and market conditions. It also shows that investors have to rebalance their portfolio by industry when oil prices fluctuate.

A Study on Competition among Three Game Platforms in aspect of User's Gratification in Multi-channel Era (다매체 시대의 게임 플랫폼 경쟁에 관한 연구: 이용자 만족 요인을 중심으로)

  • Kim, Yoo-Jin;Yu, Sae-Kyung
    • Korean journal of communication and information
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    • v.66
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    • pp.159-183
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    • 2014
  • This study analyzed the competition among three game platforms, PC, Console and Mobile in aspect of user's gratifications using niche analysis. To do this, four gratification factors, 'transportability and accessibility', 'liveliness and variety', 'availability and economic feasibility', 'relationship', were assessed. To investigate competition level among three game platforms, niche breadth, niche overlap, competitive superiority of four gratification factors were analyzed. The results of niche analysis show that mobile platform appeared as a most competitive platform because it utilized diverse resources for game user gratification and had competitive superiority in 'transportability and accessibility' which appeared as most important factor determining user's gratification. However there was no game platform which had competitive superiority in all four gratification factors.

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Growth Modeling of Perilla frutescens (L.) Britt. Using Expolinear Function in a Closed-type Plant Factory System (완전제어형 식물공장에서 선형지수함수를 이용한 들깨의 생육 모델링)

  • Seounggwan Sul;Youngtaek Baek;Young-Yeol Cho
    • Journal of Bio-Environment Control
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    • v.32 no.1
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    • pp.34-39
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    • 2023
  • Growth modeling in plant factories can not only control stable production and yield, but also control environmental conditions by considering the relationship between environmental factors and plant growth rate. In this study, using the expolinear function, we modeled perilla [Perilla frutescens (L.) Britt.] cultivated in a plant factory. Perilla growth was investigated 12 times until flower bud differentiation occurred after planting under light intensity, photoperiod, and the ratio of mixed light conditions of 130 μmol·m-2·s-1, 12/12 h, red:green:blue (7:1:2), respectively. Additionally, modeling was performed to predict dry and fresh weights using the expolinear function. Fresh and dry weights were strongly positively correlated (r = 0.996). Except for dry weight, fresh weight showed a high positive correlation with leaf area, followed by plant height, number of leaves, number of nodes, leaf length, and leaf width. When the number of days after transplanting, leaf area, and plant height were used as independent variables for growth prediction, leaf area was found to be an appropriate independent variable for growth prediction. However, additional destructive or non-destructive methods for predicting growth should be considered. In this study, we created a growth model formula to predict perilla growth in plant factories.