• 한국초전도학회:학술대회논문집
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• 한국초전도학회 2009년도 Korea Superconductivity Society Meeting 2009
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• pp.95-95
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• 2009

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권3호
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• pp.1040-1057
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• 2014

In this paper, a new bit rate estimation scheme is proposed to determine the bit rate for each subclass in an MPEG-2 TS to H.264/AVC transcoder after dividing an input MPEG-2 TS sequence into several subclasses. Video format transcoding in conventional IPTV and Smart TV services is a time-consuming process since the input sequence should be fully transcoded several times with different bit-rates to decide the bit-rate suitable for a service. The proposed scheme can automatically decide the bit-rate for the transcoded video sequence in those services which can be stored on a video streaming server as small as possible without losing any subject quality loss. In the proposed scheme, an input sequence to the transcoder is sub-classified by hierarchical clustering using a parameter value extracted from each frame. The candidate frames of each subclass are used to estimate the bit rate using a statistical analysis and a mathematical model. Experimental results show that the proposed scheme reduces the bit rate by, on an average approximately 52% in low-complexity video and 6% in high-complexity video with negligible degradation in subjective quality.

• Asian-Australasian Journal of Animal Sciences
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• 제1권1호
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• pp.21-25
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• 1988

The rumen degradability of rice straw (untreated, urea-sprayed, urea-treated), grasses (Panicum maximum, Pennisetum clandestinum) and rice bran was compared. The mean in vivo organic matter digestibility of the untreated (US), urea-supplemented (SS) and urea-ammonia treated (TS) rice straw were 50.9, 53.9 and 57.4%, respectively. Rice bran contained extremely high levels of acid-insoluble ash (25.2% DM), and its OMD was 36.1%. Grasses had OMD values around 66%. Degradability measurements were performed with buffaloes using the nylon bag technique. The organic matter (OM) disappearance data were fitted to an model which was used to describe degradation pattern. The mean potentially degradable fraction for US, SS and TS was 61.5, 61.9 and 69.4%, respectively. Urea-ammonia treatment increased both the amount of OM degraded and the rate at which it was degraded in the rumen. Both grasses had similar values for degradable fraction (around 65%) and for rate constant for degradation (0.04). Rice bran contained high proportions of readily soluble material (23.9%), but the degradable OM fraction was only 13.2%. The low quality of rice bran is attributed to the contamination of rice hulls during processing.

• 대한토목학회논문집
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• 제28권5B호
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• pp.485-493
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• 2008

한반도 영역을 대상으로 RDAPS모형의 수치예보자료, AWS의 관측강수, 상층기상관측(upper-air sounding)의 관측자료를 이용하여 권역별 강수발생확률을 예측할 수 있는 인공신경망 모형을 제시하였다. 사용된 자료의 기간은 2001년 7, 8월과 2002년 6월로 홍수기를 대상으로 하였다. 500/750/1000 hPa에서의 지위고도, 500-1000 hPa에서의 층후(thickness), 500 hPa에서의 X와 Y방향 바람성분, 750 hPa에서의 X와 Y방향 바람성분, 표면풍속, 500/750 hPa/표면에서의 온도, 평균해면기압, 3시간 누적 강수, AWS관측소에서 관측된 RDAPS모형 실행전의 6시간과 12시간동안의 누적강수, 가강수량, 상대습도등을 신경망의 예측인자로 사용하였다. 신경망의 구조는 3층 MLP(Multi Layer Perceptron)로 구성하여 역전파알고리즘(Back-propagation)을 학습방법으로 사용하였다. 신경망예측결과 한반도전체에 대한 예측성과의 개선은 H가 6.8%상승하였고, 특히 TS와 POD는 각각 99.2%와 148.1% 상승함으로서 강수예측에 대한 신경망모형이 효과적인 도구가 될 수 있음을 확인하였다. KSS 역시 92.8% 개선됨으로서 RDAPS 예측에 비하여 뚜렷이 개선된 결과를 보여주고 있다.

• Journal of Ecology and Environment
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• 제42권2호
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• pp.77-84
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• 2018

Background: For understanding and evaluating a more realistic and accurate assessment of ecosystem carbon balance related with environmental change or difference, it is necessary to analyze the various interrelationships between soil respiration and environmental factors. However, the soil temperature is mainly used for gap filling and estimation of soil respiration (Rs) under environmental change. Under the fact that changes in precipitation patterns due to climate change are expected, the effects of soil moisture content (SMC) on soil respiration have not been well studied relative to soil temperature. In this study, we attempt to analyze relationship between precipitation and soil respiration in temperate deciduous broad-leaved forest for 2 years in Gwangneung. Results: The average soil temperature (Ts) measured at a depth of 5 cm during the full study period was $12.0^{\circ}C$. The minimum value for monthly Ts was $-0.4^{\circ}C$ in February 2015 and $2.0^{\circ}C$ in January 2016. The maximum monthly Ts was $23.6^{\circ}C$ in August in both years. In 2015, annual precipitation was 823.4 mm and it was 1003.8 mm in 2016. The amount of precipitation increased by 21.9% in 2016 compared to 2015, but in 2015, it rained for 8 days more than in 2016. In 2015, the pattern of low precipitation was continuously shown, and there was a long dry period as well as a period of concentrated precipitation in 2016. 473.7 mm of precipitation, which accounted for about 51.8% of the precipitation during study period, was concentrated during summer (June to August) in 2016. The maximum values of daily Rs in both years were observed on the day when precipitation of 20 mm or more. From this, the maximum Rs value in 2015 was $784.3mg\;CO_2\;m^{-2}\;h^{-1}$ in July when 26.8 mm of daily precipitation was measured. The maximum was $913.6mg\;CO_2\;m^{-2}\;h^{-1}$ in August in 2016, when 23.8 mm of daily precipitation was measured. Rs on a rainy day was 1.5~1.6 times higher than it without precipitation. Consequently, the annual Rs in 2016 was about 12% higher than it was in 2015. It was shown a result of a 14% increase in summer precipitation from 2015. Conclusions: In this study, it was concluded that the precipitation pattern has a great effect on soil respiration. We confirmed that short-term but intense precipitation suppressed soil respiration due to a rapid increase in soil moisture, while sustained and adequate precipitation activated Rs. In especially, it is very important role on Rs in potential activating period such as summer high temperature season. Therefore, the accuracy of the calculated values by functional equation can be improved by considering the precipitation in addition to the soil temperature applied as the main factor for long-term prediction of soil respiration. In addition to this, we believe that the accuracy can be further improved by introducing an estimation equation based on seasonal temperature and soil moisture.

• 한국토양비료학회지
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• 제50권5호
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• pp.325-335
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• 2017

This study was carried out for 30 days in aeration type and agitation type reactor to characterize organic matter decomposition and ammonia volatilization during the liquid composting of pig slurry, and organic matter and nitrogen removal rate through mass balance analysis was analyzed. In the aeration type reactor, the pH increased from 7.0 to 9.13, and TS 34.5%, VS 33.4%, $BOD_5$ 71.2%, $COD_{Cr}$ 62.3% and TOC 83.2% were removed. In addition, 44.6% of TN and 65.0% of ${NH_4}^+-N$ were removed. In the agitation type reactor, the pH increased from 7.0 to 8.10, and the removal rates of TS 0.9%, VS 0.5%, $COD_{Cr}$ 27.5%, $BOD_5$ 28.9% and TOC 41.3% were obtained. And TN and ${NH_4}^+-N$ showed removal rate of 25.3% and 29.2%, respectively. The first order kinetics constant related to $BOD_5$ degradation was $-0.039day^{-1}$ for aerobic liquid composting and $-0.013day^{-1}$ for agitated reactor. Nitrogen loss in aerobic liquid composting was about 2.3 times higher than that of agitated reactor, whereas FAN/TAN in aerobic liquid composting was about 7.9 times higher than that of agitation type reactor. Therefore, despite the low FAN/TAN in the agitation type reactor, the nitrogen loss rate was relatively high.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1037-1041
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• 2004

This paper examines the problem of designing an $H_{\infty}$ fuzzy state-feedback controller for a class of uncertain nonlinear descriptor systems which is described by a Takagi-Sugeno (TS) fuzzy model. Based on a linear matrix inequality (LMI) approach, we develop an $H_{\infty}$ state-feedback controller which guarantees the $L_2$-gain of the mapping from the exogenous input noise to the regulated output to be less than some prescribed value for this class of systems. A numerical example is provided to illustrate the design developed in this paper.

• Bulletin of the Korean Chemical Society
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• 제26권12호
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• pp.1953-1961
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• 2005

We have performed high-level quantum mechanical calculation for multiple proton transfer in HOCl + HCl and $H_2O$ + $ClONO_2$ on water clusters, which can be used as a model of the reactions on ice surface in stratospheric clouds. Multiple proton transfer on ice surface plays crucial role in these reactions. The structures of the clusters with 0-3 water molecules and the transition state structures for the multiple proton transfer have been calculated. The energies and barrier heights of the proton transfer were calculated at various levels of theory including multi-coefficient correlated quantum mechanical methods (MCCM) that have recently been developed. The transition state structures and the predicted reaction mechanism depend very much on the level of theory. In particular, the HF level can not correctly predict the TS structure and barrier heights, so the electron correlation should be considered appropriately.

• 유기물자원화
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• 제1권1호
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• pp.103-113
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• 1993

우리나라에서 년간 3,367만톤(1991년) 배출되는 생활쓰레기의 28% 이상이 주방폐기물로 통칭되는 음식찌꺼기, 채소류등으로 구성되는데 수분함량이 75~85%로 높고 발열량 낮아 혐기성 소화에 의한 처리법은 폐기물의 안정화 및 메탄가스 회수를 통한 효율적인 자원화가 가능하여 매우 실용적인 것으로 고려된다. 그러나, 주방폐기물은 셀룰로즈, 단백질등의 복잡한 고분자 고형물질들로 구성되어 있어 혐기성 소화시 가수분해반응이 율속단계로 인식되고 있으며, 이로 인한 유기물 부하율이 작고 반응조 용적이 커져 경제적이지 못한 것으로 알려져 있다. 따라서, 본 연구에서는 셀룰로즈 등의 고분자물질의 가수분해 반응에 활성이 뛰어난 rumen 미생물을 이용하여 주방폐기물의 혐기성 소화의 효율을 증진시키기 위한 연구가 600 mL의 회분식반응조에서 수행되었다. 주방폐기물의 가수분해 및 산생성 반응에 대한 중온산생성균과 rumen 미생물의 산생성반응 효율을 비교하였으며, rumen 미생물을 이용한 산형성 반응에서 pH, 온도, 고형물 농도등 환경인자의 영향을 평가하였다. Rumen 미생물을 이용한 주방폐기물의 산형성 반응에서 최종휘발산수율은 이론치의 약 95%에 해당하는 8.4meq/g VS를 보여 중온산형성균을 이용하였을 때와 비슷하였으나, 산생성반응의 속도는 중온산형성균을 이용했을 때 보다 약 2배 이상 빨랐다. Rumen 미생물을 이용한 주방폐기물의 산생성 반응에 대한 기질 농도의 영향에서는 TS 15%일 때 급격한 pH저하 및 비이온화된 VFA 등의 저해작용으로 휘발산수율은 TS 1%인 반응조에서의 절반이하의 값을 보여 유출수의 연속적인 희석이 중요한 인자임을 알 수 있었다. Rumen 미생물을 이용한 산생성 반응의 최적 pH 및 온도 범위는 각각 6.0~7.5, $35{\sim}45^{\circ}C$였다. 이상과 같은 결과로부터 rumen 미생물을 주방폐기물의 혐기성소화 공정에 이용할 경우 혐기성 반응의 율속단계로 고려되는 가수분해 및 산형성 반응의 속도를 증가 시킬 수 있어 반응조 용적 감소 및 유기물 부하 증가 등의 소화 효율향상이 가능함을 알 수 있었다.

• 한국축산시설환경학회지
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• 제17권1호
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• pp.49-54
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• 2011

가축분뇨와 유기성 부산물의 혼합형태가 바이오가스 발생에 미치는 영향을 규명하고 자 시험을 수행한 결과는 다음과 같다. 1. 모돈분을 원료로 했을 때 가스발생량은 건물함량 5%에서 최대 7 L/d, 내용물 용적대비 0.389 L/$L{\cdot}d$ 이었으며, 고형물 10%에서는 최대 10 L/d, 0.556 L/$L{\cdot}d$ 이었다. TS 10% 일 때 최대 가스발생량이 TS 5%의 약 1.4배가 되었다. 2. 유기성 부산물을 혼합하였을 때 옥수수 사일리지에서 고형물 함량을 10%로 한 시험구에서 가스발생량은 1.11 L/$L{\cdot}d$이다. 대조구의 가스 발생량 0.556 L/$L{\cdot}d$과 비교하면 약 2배 가까이 되었다. 또한 음식물쓰레기를 첨가하였을 때 고형물 함량 10%에서 최대 18.17 L/d, 용적대비 1.01 L/$L{\cdot}d$로 나타났다. 3. 유기건물함량 대비 바이오가스 발생량은 모돈분만을 사용한 대조구에서 최대 203L/kg odm ${\cdot}d$, 음식물쓰레기를 첨가한 시험구에서 최대 216 L/kg odm${\cdot}d$, 옥수수사일리지 를 첨가한 시험구에서 최대 362 L/kg $odm{\cdot}d$로 나타났다. 4. 메탄가스의 농도는 대조구가 초반에 40%가 나왔고 후반에 약 70% 정도였으며 옥수수사일리지를 첨가한 시험구에서 초반에 52% 후반에 약 70%, 음식물쓰레기를 첨가한 시험구에서 초반에 약 40% 후반에 약 70%로 일반적인 농도보다 높았다. 5. 소화액의 성분분석결과 모든 시험구의 소화액은 작물이 필요로 하는 영양분을 골고루 함유하고 있어 액비로 이용할 수 있으리라 판단된다.