• Korean Journal of Soil Science and Fertilizer
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• v.42 no.3
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• pp.172-178
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• 2009

Relation between spatial variation of soil salinity and emergence of five upland crops such as sudan grass, sesbania, barnyard grass, corn and soybean was studied in the three reclaimed lands of Korea during two years from 2007 to 2008. Although soil salinity is vary high at seeding season, desalting treatment by three days-flooding before seeding, reach at favorable level lower than $6dS\;m^{-1}$ of soil salinity for emergence of soiling and forage crops and then plant number emerged(No. $m^{-2}$) was 55~149 for sudan grass, 118~266 for barnyard grass, 46~115 for sesbania, 3~11 for corn and 6~19 for soybean in 2007. However plant number emerged under no desalting treatment varies place by place because of soil salinity difference in 2008. Plant number emerged after seeding according to soil salinity was well expressed as logarithmic function, and sharply decrease with increase of soil salinity. It is accordingly concluded that desalting treatment of flooding before seeding of upland crops is essential for good emergence in the newly reclaimed land from tidal flat.

• The Korean Journal of Financial Studies
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• v.11 no.1
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• pp.217-242
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• 2005

본 연구에서는 부도기업의 부도 후 회생여부와 부도발생시의 주식시장의 반응과의 관계를 조사하였다. 즉 증권시장이 부도기업의 사후적인 회생 또는 회생실패에 대한 통찰력을 부도시에 이미 갖고 있는지를 부도처리시의 주가반응을 분석함으로써 검정하고자 하는 것이다. 이를 위하여 외환위기 후 상장기업의 부도가 빈발하였던 1998년에서 2000년 사이에 부도가 발생한 상장회사 55개 기업을 대상으로 후에 회생한 기업(31개기업)과 그렇지 못한 기업(24개 기업)을 구분하여 후에 회생한 기업의 부도시의 주가반응이 회생하지 못한 기업의 부도시의 주가반응보다 덜 부정적이었는지를 검정하였다. 실증분석 결과 부도기업 중 후에 회생한 기업(31개기업)의 분석기간 ($-10{\sim}+10$)중 평균초과수익률과 누적평균초과수익률이 비회생기업(24개기업)의 그것에 대하여 유의한 (+)의 차이가 나타나지 않았다. 또한 부도기업의 누적초과수익률을 종속변수로 하고 회생여부를 나타내는 더미변수, 전년도감사의견이 적정의견인지의 여부, 부채비율, 총자산(억원) 자연 로그값, 사전적 폭로정보 대용변수로서의 지난 1년간 주가반응을 의미하는 (-230, -11)윈도우 누적초과수익률을 독립변수로 하여 다중회귀분석을 실시하였으나 부도후 회생여부를 나타내는 더미변수의 회귀계수는 유의적이지 않았다. 따라서 초과수익률 차이분석결과 회생기업의 부도시의 주가반응이 비회생기업의 그것에 비하여 유의한 (+)의 차이가 없고, 또한 회귀분석 결과 부도시의 초과수익률과 부도후 회생여부는 유의한 관계가 없으므로 부도처리시의 주가반응에서 후에 회생하는 기업이 그렇지 않은 기업보다 덜 부정적일 것이다라는 연구가설은 기각된다.등에 대한 평가기준의 재정립이 강구되어야 할 것이다.한 변동성에서 큰 위험프리미엄이라는 연결고리를 거쳐 코리아 디스카운트라는 현상으로 귀착되는 현상에 주목하고 있는 본 연구의 결과가 실무에서 유용하게 사용됨은 물론이요 또한 본 연구의 방법론 자체가 매우 정교하고 포괄적이어서 금융시계열을 포함한 다른 여러 분야에 크게 응용될 수 있는 외부효과도 기대된다.R 효과는 전통적 의미의 일반적으로 낮은 PER종목이 초과수익률을 내는 것이 아니라, 기업규모가 크더라도 그 기업의 개별특성을 고려했을 때 이와 비교해 상대적으로 PER가 낮은 종목에 투자하면 초과수익을 낼 수 있음을 의미한다. 발견하였다.적 일정하게 하는 소비행동을 목표로 삼고 소비와 투자에 대한 의사결정을 내리고 있음이 실증분석을 통하여 밝혀졌다. 투자자들은 무위험 자산과 위험성 자산을 동시에 고려하여 포트폴리오를 구성하는 투자활동을 행동에 옮기고 있다.서, Loser포트폴리오를 매수보유하는 반전거래전략이 Winner포트폴리오를 매수보유하는 계속거래전략보다 적합한 전략임을 알 수 있었다. 다섯째, Loser포트폴리오와 Winner포트폴리오를 각각 투자대상종목으로써 매수보유한 반전거래전략과 계속거래 전략에 대한 유용성을 비교검증한 Loser포트폴리오와 Winner포트폴리오 각각의 1개월 평균초과수익률에 의하면, 반전거래전략의 Loser포트폴리오가 계속거래전략의 Winner포트폴리오보다 약 5배정도의 높은 1개월 평균초과수익률을 실현하였고, 반전거래전략의 유용성을 충분히 발휘하기 위하여 장단기의 투자기간을 설정할 경우에 6개월에서 36개월로 이동함에 따라 6개월부터 24개월까지는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.1
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• pp.18-29
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• 2008

NAND Flash memory has been growing popular storage device for the last years because of its low power consumption, fast access speed, shock resistance and light weight properties. However, it has the distinct characteristics such as erase-before-write architecture, asymmetric read/write/erase speed, and the limitation on the number of erasure per block. Due to these limitations, various Flash Translation Layers (FTLs) have been proposed to effectively use NAND flash memory. The systems that adopted the conventional FTL may result in severe performance degradation by the hot data which are frequently requested data for overwrite in the same logical address. In this paper, we propose a novel FTL algorithm called Adaptive Flash Translation Layer (AFTL) which uses sector mapping method for hot data and log-based block mapping method for cold data. Our system removes the redundant write operations and the erase operations by the separating hot data from cold data. Moreover, the read performance is enhanced according to sector translation that tends to use a few read operations. A series of experiments was organized to inspect the performance of the proposed method, and they show very impressive results.

• Journal of Korea Spatial Information System Society
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• v.10 no.2
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• pp.1-12
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• 2008

Automatic semiconductor manufacture system generating transaction from 50,000 to 500,000 per a second needs storage management system processing very large data at once. A lot of storage management systems are researched for storing very large data. Existing storage management system is typical DBMS on a disk. It is difficult that the DBMS on a disk processes the 500,000 number of insert transaction per a second. So, the DBMS on main memory appeared to use memory. But it is difficultthat very large data stores into the DBMS on a memory because of limited amount of memory. In this paper we propose storage management system using insert transaction of a block unit that can process insert transaction over 50,000 and store data on low storage cost. A transaction of a block unit can decrease cost for a log and index per each tuple as transforming a transaction of a tuple unit to a block unit. Besides, the proposed system come cost to decompress all block of data because the information of each field be loss. To solve the problems, the proposed system generates the index of each compressed block to prevent reducing speed for searching. The proposed system can store very large data generated in semiconductor system and reduce storage cost.

• Journal of Bio-Environment Control
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• v.26 no.3
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• pp.151-157
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• 2017

The objectives of this study were to determine the impact of soil water content on the growth, stomatal conductance, and photosynthesis of Kimchi cabbage and to evaluate proper parameters for development of growth models. There were five levels of irrigation amount treatments (0, 200, 300, 400, and 500 mL/d/plant) and those were commenced at one day after transplanting (DAT). We measured soil water content, stomatal conductance, photosynthesis characteristics, and the A-Ci curve. The growth of Kimchi cabbage as affected by irrigation amount was evaluated at 38 days after transplanting, however, the growth with 0 and 200 mL/d/plant irrigation amount treatments measured at 29 DAT. The relationship between soil water content and stomatal conductance was highly correlated ($r^2=0.999$) and the function represented by y = 6097.4x - 4.2984. The stomatal conductance of Kimchi cabbage leaves showed $300mmol{\cdot}m^{-2}{\cdot}s^{-1}$ when the soil water content was below $0.05m^3/m^3$. The stomatal conductance was rapidly decreased by scarcity of soil moisture. A-Ci curve indicated normal curve in fully irrigation treatment (500 mL/d/plant), however, $CO_2$ couldn't diffuse through the intercellular Kimchi cabbage leaves treated with 0 mL/d/plant. The dry weight of full irrigation treatment was greater approximately 6.8 times than that of deficit irrigation (0 mL/d/plant). In addition, leaf area index showed a logarithmic function (y = 16.573 + 3.398 ln x) with soil water content and that of R-squared represents 0.913. Results indicated that the soil water content was highly correlated with stomatal conductance and leaf area index. Indeed, the scarcity soil moisture reduced photosynthesis and retarded growth.

• Journal of Korea Water Resources Association
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• v.39 no.2 s.163
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• pp.121-126
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• 2006

Snowmelt effect is identified from the analysis of the relationship between precipitation and groundwater level(GWL) data and Severe drawdown of GWL is observed in drought. Groundwater dam Operation Index (GOI), which is developed for the optimal operation of groundwater dam, is calculated by taking common logarithm of the moving average(MA) of precipitation data for a certain period. The period can vary from watershed to watershed because the period is decided by picking the maximum correlation coefficient between GWL and GOI of several MAs of precipitation. For Ssangchun watershed, the correlation was the strongest when we apply 70 day MA for GOI calculation. Snowmelt effect is considered by applying the temperature change by elevation($0.5^{\circ}C$ decrease per 100m) and examining the areal distribution of the watershed by elevation. Snow event is assumed when the daily average temperature is below $0^{\circ}C$ and snowmelt is assumed when the temperature is above zero degree Celsius. Total snowmelt is assumed for the day. When the snow event is occurred the precipitation data is separated into two components, snow and rainfall. The areal distribution by elevation is used for the calculation in the separation. The correlation between GWL and GOI is higher when we consider snowmelt effect than we neglected it.