• Aerospace Engineering and Technology
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• v.6 no.2
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• pp.219-228
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• 2007

The test is performed to measure the accuracy of landmark matching process considering cloud detection performance and to analyze the evolution of this accuracy with respect to the cloud detection processing parameters. For the purpose, MTSAT-1R HiRiD data were used to induce final results. The test result shows that landmarks matching performance estimation on MTSAT-1R HiRiD data is considered as being between 0.06 and 0.09 IR pixel, corresponding to $7{\mu}rad$ and $10{\mu}rad$.

• Proceedings of the KIPE Conference
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• 2012.07a
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• pp.496-497
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• 2012

전해 커패시터는 인버터 등을 포함하는 전력 변환 장치에 직류 전압 평활용으로 사용되며, 다른 구성 요소와 비교하여 고장 발생률이 가장 높다. 본 논문은 이러한 전해 커패시터의 상태를 진단하는 방법에 대한 것으로 커패시터 전압의 충, 방전을 이용한다. 전해 커패시터가 충전된 상태에서 전동기에 전류를 인가함으로써 커패시터에 충전된 에너지를 방전 시키고, 방전된 에너지로부터 커패시턴스를 추정한다. 정상 상태의 커패시터와 열화된 상태의 커패시터의 용량 변화로부터 커패시터의 상태를 판별한다. 본 논문에서 제안된 기법은 상용 인버터에 적용하는 데 추가의 하드웨어가 필요하지 않아 저가로 구현할 수 있으며, 커패시터 용량의 변화를 신뢰성 있게 추정할 수 있기 때문에 커패시터 고장진단에 효과적이다.

• Journal of Technology Innovation
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• v.21 no.2
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• pp.137-167
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• 2013

This article estimates the scale of impact of expanding governmental fiscal expenditure for R&D investment on the private business enterprise's investment for R&D, and the relationship between business enterprise and university for expanding investment of R&D. According to my results, first, an expanding fiscal expenditure from government for R&D investment leads to increase R&D investment from business enterprise. However, an expanding expenditure from university rather leads to decrease R&D investment from business enterprise. Secondly, the crowding-out effect of expanding R&D investment from University on business enterprise's is very strong, and it is affected by structural changes such as the country's economic power, fiscal stance and cyclical volatility. Third, the more governmental expenditure on university expansive is, the stronger asymmetric relationship between business enterprise and university is, and investment sources of university from business enterprise is the main factor of this relationship. Finally, it is not easy to solve out this asymmetric relationship even through the governmental subsidy.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1268-1295
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• 2018

This study examines the effects of policy mix on R&D efficiency in by using data from 2014 and 2016 Korean Innovation Survey. The DEA-Tobit analysis is used to estimate the impact of policy mix on relative R&D efficiency. As a result of the DEA analysis, the R&D efficiency of the Korean manufacturing industry firms is low, because the R&D investment has not been used effectively. According to the Tobit model, policy mix have a positive effect on R&D efficiency. In particular, the combination of market-oriented, market supply-oriented, and supply demand-oriented policy mix showed a positive relationship with R&D efficiency. R&D portfolio is necessary to improve R&D efficiencies and government has to facilitate a policy mix in view of the nature of firms and Consistency of policy tools.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.28-28
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• 2015

본 연구는 KICT X밴드 이중편파 레이더 관측자료를 이용하여, 우리나라 기상조건에서 X밴드 이중편파 레이더 $K_{DP}$ 추정 기법에 따른 강우강도 추정의 차이를 비교 검토하였다. 이중편파 레이더로 $K_{DP}$ 기반의 정확도 높은 강우강도 분포 추정에 있어, $K_{DP}$ 추정의 방법에 따라서 추정된 $K_{DP}$의 공간 분포는 상당한 차이를 보이게 된다. 추정 기법만을 볼 때, 이는 주로 ${\Phi}_{DP}$로부터 기울기를 산정하는 방법과 기울기를 산정하는 윈도우의 크기에서 차이가 발생한다. 윈도우의 크기는 일반적으로 호우의 강도에 따라 달리 적용하는 것이 $R-K_{DP}$ 관계에서 보다 정확도가 높은 것으로 알려져 있다. $K_{DP}$ 산정 기법에 따른 차이 검토를 위해 기울기 산정 기법, 필터(FIR) 상수 및 ${\Phi}_{DP}$ 기울기 산정을 위한 윈도우 크기에 따른 강수 추정의 정확도를 검토하였다.

• Journal of Korea Technology Innovation Society
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• v.9 no.2
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• pp.236-259
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• 2006

This paper empirically examines the relationship between a firm's external technology acquisition and in-house R&D in Korean manufacturing sectors. Using the technology innovation survey conducted by the Korean government in 2002, and developing a semi-structural empirical model, we find that the firm's in-house R&D and technology acquisition have a complementary relationship: A firm's technology acquisition increases in its in-house R&D. Moreover, government R&D funding and tax incentives have positive effects on the in-house R&D, while the existence of the failed projects encourage a firm to acquire more external technologies.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.24 no.4
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• pp.266-271
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• 1991

Probably herbivorous fishes were visibility main body as aquatic substantial production in offshore and adjacent sea. It is a major problem to estimation of energy conversion rate by hervivores from primary production when to be measurement for potential productivity of herbivores as above meaning according to deductive method. This was deal with review of I index, with mean transfer efficiency from food in seawater to food in gut be eaten by a particular species. Yet $K_i$ was not settled with an established theory. In this review coefficients of food selection or electivity indices suggested by two Russian biologists, Ivlev and Sorygin, (r-p) /(r+p) and (r/p) were understand unsuitable to use with the transfer efficiency $K_i$. But CCOS that is one of community resemblance chord is suggested to be possible with someone a treatment, as (CCOS)$\times$(Filtering rate).

• Korean Journal of Ecology and Environment
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• v.43 no.1
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• pp.82-90
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• 2010

The ecological characteristics of the Korean Aucha perch, Coreoperca herzi, were determined in order to estimate stock of the mid-upper system of the Seomjin River. The age was determined by counting the otolith annuli. The oldest fish observed in this study was 5 years old. Relationships between body length (BL) and body weight (BW) were $BW=0.0195BL^{3.08}$ ($R^2=0.966$) (p<0.01). Relationships between the otolith radius (R) and body length (BL) were BL=3.882R+1.66 ($R^2=0.944$). The von Bertalanffy growth parameters estimated from a non-linear regression method were $L_{\infty}=19.68\;cm$, $W_{\infty}=188.64\;g$, $K=0.17\;year^{-1}$ and $t_0=-1.46$ year. Therefore, growth in length of the fish was expressed by the von Bertalanffy's growth equation as $L_t=19.68$ ($1-e^{-0.17(t+1.46)}$) ($R^2=0.997$). The annual survival rate (S) was estimated to be $0.666\;year^{-1}$. The instantaneous coefficient of natural mortality (M) of estimated from the Zhang and Megrey method was $0.346\;year^{-1}$, and instantaneous coefficient of fishing mortality (F) was calculated $0.061\;year^{-1}$. From the estimates of survival rate (S), the instantaneous coefficient of total mortality(Z) was estimated to be $0.407\;year^{-1}$.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.5
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• pp.878-886
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• 2011

The soybean is one of the oldest cultivated crops in the world. Microwave remote sensing is an important tool because it can penetrate into cloud independent of weather and it can acquire day or night time data. Especially a ground-based polarimetric scatterometer has advantages of monitoring crop conditions continuously with full polarization and different frequencies. In this study, soybean growth parameters and soil moisture were estimated using polarimetric discrimination ratio (PDR) by radar scatterometer. A ground-based polarimetric scatterometer operating at multiple frequencies was used to continuously monitor the soybean growth condition and soil moisture change. It was set up to obtain data automatically every 10 minutes. The temporal trend of the PDR for all bands agreed with the soybean growth data such as fresh weight, Leaf Area Index, Vegetation Water Content, plant height; i.e., increased until about DOY 271 and decreased afterward. Soil moisture lowly related with PDR in all bands during whole growth stage. In contrast, PDR is relative correlated with soil moisture during below LAI 2. We also analyzed the relationship between the PDR of each band and growth data. It was found that L-band PDR is the most correlated with fresh weight (r=0.96), LAI (r=0.91), vegetation water content (r=0.94) and soil moisture (r=0.86). In addition, the relationship between C-, X-band PDR and growth data were moderately correlated ($r{\geq}0.83$) with the exception of the soil moisture. Based on the analysis of the relation between the PDR at L, C, X-band and soybean growth parameters, we predicted the growth parameters and soil moisture using L-band PDR. Overall good agreement has been observed between retrieved growth data and observed growth data. Results from this study show that PDR appear effective to estimate soybean growth parameters and soil moisture.

• Exercise Science
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• v.21 no.2
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• pp.231-242
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• 2012

The purpose of this study was to develop the prediction model of VO₂max using submaximal metabolic responses from the Bruce protocol, HR responses at several stages and 1,200 m running record, and to compare and analyse the validity of these prediction models. The subjects were consisted of 255 male(133 male for 1,200 m running). They were participated maximal exercise testing with Bruce protocol, and the metabolic responses were measured in the end of the first(3 minute), second stage(6 minute), and 1,200 m running record. Measurement items were VO₂(㎖/kg/min), VCO₂(㎖/kg/min), VE(L/min), HR(bpm) of 3 and 6 minute, time to HR 150 bpm and 170 bpm, HR difference between Bruce protocol 6 and 3 minute, 1,200 m running record. Analyzing with all variables using enter method, the multiple R of total variable model was 0.642(p<.01), SEE was 4.38 ㎖/kg/min, CV was 10.8 %, but multicolinearity was appeared. The multiple R of 3 minutes model 1 and model 2 were 0.341 and 0.461, SEE was 6.05 and 5.72 ㎖/kg/min, CV was 14.9 and 14.1%, and multicolinearity did not appeared. The multiple R of 6 minutes model 1 and model 2 were 0.350 and 0.456, SEE was 6.03 and 5.74 ㎖/kg/min, CV was 14.9 and 14.2%, and multicolinearity did not appeared. The R of HR 170 and HR 170 model were 0.151 and 0.154, SEE were 6.36~6.37 ㎖/kg/min, CV were 15.7%. The R of 1,200 m running model was 0.444, SEE was 4.82 ㎖/kg/min, CV were 11.9%. In conclusion, with considering usefulness and convenience through the validity of these prediction models, the prediction model of VO₂max recommended 6 and 3 minute model, and the validity of HR model and 1,200 m running model were moderately low.