• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.40 no.6
• /
• pp.583-592
• /
• 2020

This study assessed source depletion in the vadose zones of contaminated sites. The possible range of infiltration rate in Korea was statistically analyzed. The results showed a trend of decreasing leachate concentration of 13 pollutants used for risk assessment. Among them, benzene, ethylbenzene, toluene, and xylene showed a lower leachate concentration in groundwater over time due to their low distribution coefficient and also possible biodegradation effects. The average values of the relative concentration could be taken as a default index due to a very small range of uncertainties. In the case of heavy metals, it was shown that the leachate concentration in a pollutant does not decrease over time. Considering the annually different infiltration, a site-specific source-depletion scenario was applied to Cheongju in North Chungcheong Province. The result was expressed as a time series of the relative concentration of the leachate concentration, and this was compared to the trend by averaged Korean infiltration. Finally, an open-source code that used Python was used to help calculate the leachate concentration by this site-specific infiltration scenario.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
• /
• 2001.04a
• /
• pp.193-197
• /
• 2001

본 연구에서는 국산닥, 태국닥, 중국닥의 원료를 사용하여 펄핑, 표백, 고해, 초지, 건조의 방식을 변화시켜 총 3500 여장에 이르는 한지를 한지제조 전문가가 일정한 방법에 따라 제 조하였고 그 특정들을 조직적으로 검토하였다. 이러한 연구는 한지의 물성이 닥섬유의 처 리공정에 의해 어떻게 영향을 받는지 연구를 통계적으로 가능하게 하였다. 본 연구에서는 육재펄핑과 일광표백의 효과, 외발뜨기와 쌍발뜨기의 효과, 고해방식의 차이, 먹퍼집성에 대 해 결과들을 보이 고 있다. 육재 펄핑과 일광표백이 한지의 물성에 어떠한 영향을 미치는지 알아보기로 하였다. 현 재는 많은 한지 업자들이 육재펄핑보다는 가성소다 펄핑 (그림에서는 약품펄핑으로 표기), 일광표백보다는 차아염소산 나트륨 (그림에서는 약품표백으로 표기)을 사용하는 것이 보통 이다. 육재펄핑과 일광표백을 실시한 한지는 열단장, 인열강도, 내절도를 약품펄핑이나 약 품표백보다 높이는 효과가 있음을 알 수 있었다. 하지만 약품을 사용하는 경우 리그닌의 용출이 더 수윌하므로 백색도는 약품을 사용하는 경우가 더 유리하였다. 국산닥의 경우 육 재펄핑과 일광표백을 한 경우 먹퍼짐성이 약품사용 한지보다 크지 않음을 볼 수 있었다. 한국의 전통적인 외발뜨기 초지방식은 일본의 쌍발뜨기 방식에 비해 많은 물리적 우수성 을 보이고 있다. 외발뜨기가 쌍발뜨기에 비해 열단장, 신장율, 인열지수 및 내절도 모두가 우수함을 잘 보이고 있다. 섬유의 성질과 관련하여 전체적으로 조명해 보면, 열단장, 인열 지수는 국산닥이 가장 높으며, 내절도는 태국닥이 우수하였고, 중국닥의 경우 모두 매우 불 량함을 알 수 있다. 이것은 아마도 처리중에 과도한 표백을 실시하지 아니하였는가 하는 의구심을 들게한다. 열단장과 신장율 역시 국산닥이 우수하였다. 글씨를 쓸 때, 붓이 나가 는 정도를 마찰게수로 짐작해 보았다. 동 마찰계수와 정 마찰계수는 국산닥이 낮은 편이였 다. 마찰계수가 낮다는 사실은 한지의 표면이 더 매끄럽다고 표현될 수 있는데, 역시 국산닥 으로 제조한 한지가 붓이 나가는데 유리하지 않을까 하는 추측을 할 수 있다. 본 실험결과 는 한지 사용자들의 느낌과 상관관계를 얻어내어서 확인해야 할 것이다. 닥방망이로의 고해나 칼비터에 의한 고해나 큰 물성적으로 큰 차이를 보이지는 않고 있 었다. 단지 섬유의 차이가 고해방식의 차이보다 월등히 크다는 사실을 보이고 있다 이러한 점은 섬유장의 길이에서도 볼 수 있다. 칼비터가 섬유를 절단하기만 하고 닥방망이 고해가 섬유장의 변화를 일으키지 않는다면 틀림없이 평균 섬유장의 차이가 생길것이다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2020.06a
• /
• pp.162-162
• /
• 2020

토양수분은 TDR(Time Domain Reflectometry)이나 Tensiometer 등의 장비를 이용하여 측정을 시행하고 있으나, 이를 위해서는 많은 인력과 경제적 자원이 소비될 뿐만 아니라 시공간적으로 측정할 수 있는 범위에 한계가 있다. 지상 관측의 대안으로 MIRAS(Microwave Imaging Radiometer with Aperture Synthesis)나 SMAP(Soil Moisture Active Passive), AMSR2(Advanced Microwave Scanning Radiometer 2) 등의 수동 마이크로파 위성 센서를 이용한 공간 토양수분 관측이 수행되었으나, 낮은 공간 해상도(9~36km)는 지역 규모의 토양수분 분포를 나타내기 충분하지 않고, 높은 불확실성을 내포하고 있다. 본 연구에서는 금강 상류의 용담댐 유역(930.0㎢)을 대상으로 Sentinel-1 C-band SAR(Synthetic Aperture Radar) 영상을 이용한 토지 피복 및 토양 속성을 고려한 10m 해상도의 토양수분 산출을 수행하였다. 용담댐 유역은 산림 79.7%, 논 9.0%, 밭 5.4%, 주거지 2.9%의 토지 피복 비율을 가지며 토양은 사양토(66.6%)와 양토(20.9%)가 우세하다. Sentinel-1 C-band SAR 영상은 SeNtinel Application Platform(SNAP)을 이용하여 전처리 후, 후방산란계수로 변환하였다. 토양수분 알고리즘은 TU-Wien change detection algorithm과 Regression model을 활용하였고, 검증을 위한 실측 토양수분 자료는 한국수자원공사(K-water)에서 제공하는 5년(2014~2018)간의 토양수분 관측자료를 이용하였다. 산출된 토양수분은 결정계수(Coefficient of determination, R²) 및 평균제곱근오차(Root Mean Square Error, RMSE)를 이용하여 실측 토양수분과 비교하였다. Sentinel-1 C-band SAR 영상을 이용한 고해상도의 토양수분 산출은 토지 피복 및 토양 속성을 고려한 지역 규모의 공간 토양수분 분포 및 시간적 변화를 표현 가능할 것으로 판단된다.

• Korean Journal of Poultry Science
• /
• v.48 no.4
• /
• pp.193-206
• /
• 2021

This study aimed to identify the growth performance of Korean indigenous chicken pure-line by sex and twelve strains conserved in Poultry Research Institute, National Institute of Animal Science, Rural Development Administration. The effect of sex and strain on body weight was significantly different in every period, with males being heavier in all periods than females. In the case of biweekly weight gain, the tendency to increase rapidly from birth to six weeks old, and to decrease in the period from twelve to fourteen weeks old was common across all sex and strains. Depending on sex and strain, there were significant differences in age and the number of peaks. Regardless of sex and strain, the determination coefficient and adjusted determination coefficient showed high goodness of fit (99.1~99.9%) to growth functions. However, for each model, the goodness-of-fit had variations by sex and strains. von Betalanffy function had the best fit to growth curves in all the female strains except strain D. On the other hand, Gompertz function had the best fit for all the male strains except strain C. Logistic function showed the lowest goodness-of-fit in all sex and strains. Mature weights were in the order of von bertalanffy, Gompertz, and Logistic models, while growth ratio and maturing rate followed the order of logistic, gompertz, and von bertalanffy functions. This information could be useful for Korean indigenous chicken management and designing crossbreeding tests and breeding programs.

• Korean Journal of Food Science and Technology
• /
• v.28 no.6
• /
• pp.1126-1134
• /
• 1996

The physical characteristics changes of carrots during drying were studied to minimize the quality degradation by applying improved drying process and pretreatment method. Physico-chemical properties of the product were analyzed, and then, drying mechanisms were explained by diffusion coefficients and drying models. In hot air drying process, the drying and rehydration efficiencies were high at low relative humidity and high temperature. Browning degree and specific volume also showed similar trend to drying efficiency. Diffusion coefficient, which describes moisture transfer, was also high at low relative humidity and at high temperature. It was verified using. Arrhenius equation that drying process was influenced by temperature. It was also observed during experiment that temperature changes were more effective in drying than relative humidity changes. Quadratic model was the most fittable in explaining the process. As a result of analyzing the experimental data with respect to the drying time, the contents of carotene and moisture could be modeled as a polynomial. As the air velocity increased, drying performance and rehydration efficiency increased.

• Korean Journal of Food Science and Technology
• /
• v.34 no.4
• /
• pp.583-589
• /
• 2002

The rheological properties of apple pectins and tomato pectins with different degrees of side branches (sample I and sample II) were investigated with wide range of shear rate by theological modeling. Among the Power law model, Cross model and Carreau model, the Carreau model was the best fitted to the experimental data. Increasing in branching of apple pectins resulted in higher zero-shear viscosity $({\eta}_0)$. But, tomato pectins that have a low degree of side branches were shown litte difference between sample I and sample II. It is concluded that side branches of pectins can result in significant difference in rheological properties. And, this is predicted by the Carreau model.

• Tunnel and Underground Space
• /
• v.13 no.4
• /
• pp.321-329
• /
• 2003

The change of strain-dependent hydraulic conductivity around mined panels due to subsidence is examined where normal and shear strains, modulus reduction ratio and joint spacing are major factors controlling the changes of hydraulic conductivity. Modulus reduction ratio and joint spacing are defined through RMR and RQD, respectively. Utilizing these two empirical parameters, changes of hydraulic conductivity values of a full gamut of rock mass conditions are determined. The change of hydraulic conductivity is not apparent in the near surface area and more significant change takes place in the area around mined panels. A zone of strong influence from the subsidence extends to a height of approximately 20m above mined panels. The shear strain does also play the role of increasing a hydraulic conductivity around mined panels. As RMR of rock mass decreases, a hydraulic conductivity is found to be increased and this means that subsidence in a poor rock with low RMR has a great effect on a hydraulic conductivity field.

• Journal of Advanced Marine Engineering and Technology
• /
• v.39 no.7
• /
• pp.702-708
• /
• 2015

Two-phase flow boiling experiments were conducted using FC-72 as the working fluid. The micro-channels consisted of 15 channels with a depth of 0.2 mm, width of 0.45 mm, and length of 60 mm. Tests were performed over a mass flux range of $200-400kg/m^2s$, heat flux range of $5.6-49.0kW/m^2$, and vapor quality range of 0.02-0.93. Based on the results of the experiment, the heat transfer mechanism by nucleate boiling was dominant at a lower vapor quality (x<0.2), whereas that in the region of a vapor quality greater than 0.2 was complexly influenced by nucleate boiling and forced convection boiling. The nucleate boiling and forced convection boiling could be expressed as functions of the boiling number and convection number, respectively. In addition, the heat transfer coefficient obtained by the experiment was compared with the heat transfer coefficient by the existing correlation.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.3
• /
• pp.79-84
• /
• 2021

A feature extraction method capable of reflecting features well while mainaining the properties of data is required in order to process high-dimensional data. The principal component analysis method that converts high-level data into low-dimensional data and express high-dimensional data with fewer variables than the original data is a representative method for feature extraction of data. In this study, we propose a principal component analysis method based on adaptive correlation when selecting principal component variables in principal component analysis for data feature extraction when the data is high-dimensional. The proposed method analyzes the principal components of the data by adaptively reflecting the correlation based on the correlation between the input data. I want to exclude them from the candidate list. It is intended to analyze the principal component hierarchy by the eigen-vector coefficient value, to prevent the selection of the principal component with a low hierarchy, and to minimize the occurrence of data duplication inducing data bias through correlation analysis. Through this, we propose a method of selecting a well-presented principal component variable that represents the characteristics of actual data by reducing the influence of data bias when selecting the principal component variable.

• Journal of Internet Computing and Services
• /
• v.14 no.6
• /
• pp.107-115
• /
• 2013

Various networks can be observed in the world. Knowledge networks which are closely related with technology and research are especially important because these networks help us understand how knowledge is produced. Therefore, many studies regarding knowledge networks have been conducted. The assortativity coefficient represents the tendency of connections between nodes having a similar property as figures. The relevant characteristics of the assortativity coefficient help us understand how corresponding technologies have evolved in the keyword-based patent network which is considered to be a knowledge network. The relationships of keywords in a knowledge network where a node is depicted as a keyword show the structure of the technology development process. In this paper, we suggest two hypotheses basedon the previous research indicating that there exist core nodes in the keyword network and we conduct assortativity analysis to verify the hypotheses. First, the patents network based on the keyword represents disassortativity over time. Through our assortativity analysis, it is confirmed that the knowledge network shows disassortativity as the network evolves. Second, as the keyword-based patents network becomes disassortavie, clustering coefficients become lower. As the result of this hypothesis, weconfirm the clustering coefficient also becomes lower as the assortative coefficient of the network gets lower. Another interesting result concerning the second hypothesis is that, when the knowledge network is disassorativie, the tendency of decreasing of the clustering coefficient is much higher than when the network is assortative.