• KIPS Transactions on Computer and Communication Systems
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• v.9 no.1
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• pp.9-16
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• 2020

The k-anonymity scheme has been widely used to protect private information when Big Data are distributed to a third party for research purposes. When the scheme is applied, an optimal k value determination is one of difficult problems to be resolved because many factors should be considered. Currently, the determination has been done almost manually by human experts with their intuition. This leads to degrade performance of the anonymization, and it takes much time and cost for them to do a task. To overcome this problem, a simple idea has been proposed that is based on machine learning. This paper describes implementations and experiments to realize the proposed idea. In thi work, a deep neural network (DNN) is implemented using tensorflow libraries, and it is trained and tested using input dataset. The experiment results show that a trend of training errors follows a typical pattern in DNN, but for validation errors, our model represents a different pattern from one shown in typical training process. The advantage of the proposed approach is that it can reduce time and cost for experts to determine k value because it can be done semi-automatically.

• Journal of the Korean GEO-environmental Society
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• v.15 no.5
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• pp.5-11
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• 2014

In this study, greenhouse gas emission for small scale landfill (H and Y landfill) was investigated to deduce special the methane generation rate constant(k). To achieve the purpose, the data of physical composition was collected and amount of LFG emission was calculated by using FOD method suggested in 2006 IPCC GL. Also, amount of LFG emission was directly measured in the active landfill sites. By comparing the results, the methane generation rate constant(k), which was used as input variable in FOD method suggested in 2006 IPCC GL, was deduced. From the results on the physical composition, it was shown that the ranges of DOC per year in H (1997~2011) and Y (1994~2011) landfill sites were 13.16 %~23.79 % ($16.52{\pm}3.84%$) and 7.24 %~34.67 % ($14.56{\pm}7.30%$), respectively. The DOC results showed the differences with the suggested values (= 18 %) in 2006 IPCC GL. The average values of methane generation rate constant(k) from each landfill site were $0.0413yr^{-1}$ and $0.0117yr^{-1}$. The results of methane generation rate constant(k) was shown big difference with 2006 IPCC GL defualt value (k = 0.09). It was confirmed that calculation results of greenhouse gas emission using default value in 2006 IPCC GL show excessive output.

• Korean Journal of Food Science and Technology
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• v.21 no.6
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• pp.742-748
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• 1989

Rheological properties of gelatinized millet starch dispersions were evaluated. Gelatinized nonwaxy and waxy millet starch dispersion were typical pseudoplastic fluids. At constant shear rate, gelatinized waxy millet starch dispersion showed higher shear stress than nonwaxy millet starch dispersion. Flow behaviours of gelatinized nonwaxy and waxy millet starch dispersion were well fitted to Herschel-Bulkley equation and flow behaviour index (n) and consistency index (K) were strongly concentration dependent. There was a linear relationship between concentration of gelatinized starch dispersion and square root of yield stress. The concentrations of gelatinized nonwaxy and waxy millet starch dispersion where yield stresses become zero were estimated as 2.19 and 1.69%, respectively. Pseudoplastic constant (m) approaches to a constant value in each type of millet starch when the concentration of gelatinized starch dispersion was increased. As the measuring temperatures increase, n value was increased, whereas, K value was decreased. The activation energies of gelatinized nonwaxy and waxy millet starch dispersion were 2.89 and 3.18kcal/mol, respectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.803-807
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• 2010

본 연구는 자연재해대책법에 의해 개발사업으로 인한 재해유발요인을 예측 분석하고 이에 대한 대책을 강구하기 위해 수행되고 있는 사전재해영향평가에서 표준화된 한국토양유실도 자료를 제공하여 자료의 객관화를 이루도록 함을 목적으로 하고 있다. 한국토양유실도 제공 시스템은 2단계에 걸쳐서 수행할 계획이다. 1단계에서는 한국토양유실량 분포도를 RUSLE를 이용하여 작성하였다. 이 RUSLE모에서 강우 에너지인자 산정을 위한 강우량 자료는 기상청의 59개 기상관측소의 1977년부터 2006년까지의 30년간의 자료를 이용하여 24시간 지속시간의 전국 R값을 빈도별로 산정하여 강우에너지인자에 대한 주제도를 작성하였다. 또한 사용한 GIS자료는 USGS DTED Level-2, 국립농업과학원의 정밀 토양도, 환경부의 중분류 토지피복도 자료이고 이들 자료를 이용하여 RUSLE의 각인자별 주제도를 작성하였고, 이를 웹사이트(http://krsc.kict.re.kr/RUSLE/rusle.asp)를 통해 신청인으로부터 메일로 범위(행정구역경계, 1/25,000수치지도 도엽번호, 수자원단위지도 등)를 요청 받거나 수자원단위지도의 중권역 및 표준권역의 경우 사용자가 직접 자료요청을 하여 토양유실도를 제공받는 시스템이다. 2단계에서는 작성된 한국토양유실량 분포도를 제공하는 것은 물론이며, 사용자가 원하는 범위에 대하여 shape 파일을 입력, 강우에너지인자(R) 입력, 그리고 토지피복별에 따른 RUSLE의 C 혹은 P값을 수정하여 분석하거나, 현재 토양통별로 제시된 K값을 사용자가 직접 관측한 값을 이용하여 Web-RUSLE시스템에 입력하면 자동으로 토양유실량을 산정할 수 있는 시스템으로 구축할 계획이다.

• Korean Journal of Environmental Agriculture
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• v.9 no.2
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• pp.105-111
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• 1990

The soil adsorption coefficient of butachlor was measured mainly following the guidelines of U. S. EPA and OECD. The soil adsorption coefficient, Koc, of butachlor agreed well with the values in the literature. It was observed that soil adsorption differed about 5% with an increase or decrease by $15^{\circ}C$, implying that temperature does affect soil adsorption. The estimated value of the soil adsorption coefficient using water solubility and molecular structure deviated by factors of 2 and 20, respectively. The soil adsorption coefficient, Koc, of butachlor was 543 so this value means that butachlor is tightly bound to organic matter in soil and is considered immobile. A novel trial estimating the soil adsorption coefficient by molecular structure might be utilized to design efficient and/or non-polluting agrochemicals by organic chemists.

• Korean Journal of Soil Science and Fertilizer
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• v.32 no.1
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• pp.31-38
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• 1999

Rainfall factor. R, and soil factor, K were estimated to use the Revised Universal Soil Loss Equation (RUSLE) to predict the amount of soil erosion from a land on slope in Kangwon-do, Korea. The average of R factor was 405 with a range from 251 to 601. The R factor differed among regions. The R factor at Taegwalryung, in the highland region, was 409 and those at Inje and Hongchon, in the mid mountainous regions, ranged from 310 to 493. The R factors at Wonju and Chuncheon, in the plain regions, ranged from 505 to 601. The R factors at Sokcho, Kangnung and Samchok, in the east coastal region, which ranged from 251 to 368, were lowee than those in the western part of the Taebaeg Mountains. The R factor during the winter including the effect of winter freezing and thawing was 12 to 30% of the annual average value in the east coastal and highland regions, while that in the western part of Taebaeg Mountains was lower than 7%. The average of K factor in the surface soil was 0.21 with a range from 0.06 to 0.42. The K factors of Odae and Weoljeong serieses were the lowest, while that of Imog was the highest. The average of K factor in the subsoil was 0.28 with a range from 0.07 to 0.45. The K factor of the subsoil was 1.3 times higher than that of top soil. The average of K factor in he soil including the effect of the gravel covering and percolation was 0.18 with a range from 0.03 to 0.33. In contrast. the K factor excluding the effect of the gravel covering was lower than this. The average of K factor in the frozen subsoil was 0.33, which was 1.6 times higher than that of the non frozen subsoil.

• Clinical and Experimental Pediatrics
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• v.45 no.8
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• pp.973-979
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• 2002

Purpose : Recently, a number of rapid antigen detection tests have been available to diagnose group A streptococcal pharyngotonsillitis. The purpose of this study was to determine the sensitivity, specificity and consistency of the two rapid antigen detection tests. Methods : Among the patients who visited our clinic from November 2001 to February 2002, 61 patients who had clinical findings of pharyngeal erythema or edema, pharyngeal exudates and soft palatine petechiae were enrolled in our study. A total of 61 patients were tested with rapid antigen detection tests and throat culture. BD $LINK2^{TM}$ Strep A(Becton, Dickinson & Company, U.S.A.) and $QuickVue^{(R)}$ $In-Line^{TM}$(Quidel Corporation, U.S.A.) were selected for rapid antigen detection tests. Results : Of the 61 patients tested, 22 patients were confirmed as group A streptococcal pharyngotonsillitis by throat culture. The BD $LINK2^{TM}$ Strep A had a sensitivity of 81.8% and a specificity 89.7%. The positive and negative predictive values were 81.8% and 89.7%, respectively. The $QuickVue^{(R)}$ $In-Line^{TM}$ had a sensitivity of 77.3% and a specificity of 100%. The positive and negative predictive values were 100% and 88.6%, respectively. The kappa values of BD $LINK2^{TM}$ Strep A and $QuickVue^{(R)}$ $In-Line^{TM}$ were 0.72 and 0.81, respectively. Conclusion : In addition to high sensitivity, specificity and consistency, both kits are easy to use and simple to interpret, and therefore have the potential to be used with backup throat culture for diagnosis of acute pharyngotonsillitis.

• Journal of Chest Surgery
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• v.30 no.11
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• pp.1092-1096
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• 1997

Thromboelastography(TEG) enables a global assessment of hemostatic function to be made from a single blood sample, documenting the interaction of platelets with protein coagulation cascade from the time of the initial platelet-fibrin interaction, through platelet aggregation, clot strengthening and fibrin cross linking to eventual clot Iysis. Thirty-five patients(mean age 34$\pm$ 12) undergoing open heart surgery from April 1st, 1996 to August 31th, 1996 were investigated at preoperatively and immediate, one hour, and 24 hours after cessation of cardiopulmonary bypass using TEG. Comparisons were made between classic hematological indices and TEG data. There were statistically significant correlation between maximal amplitude(MA) and platelet count before CPB, activating clotting time(ACT) and TEG date(R time, K time and a angle) at 24-hour after CPB. The data on the predictive accuracy for postoperative bleeding at 24-hour after CPB, the TEG was significantly better than ACT(57%) or the coagulation profiles(43%) as a predictor of postoperative bleeding, with an accuracy rate of 100% (P=0.0043). In conclusion, TEG seems to be easy to use, clinically accurate, cost effective and provides data which can effectively manage a patient's hemostasis.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.2
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• pp.371-378
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• 2021

In this study, in order to analyze the spatial distribution of cold water occurred in the Southeast Sea of Korea, the K-means clustering method was used to analyze the ocean observatory buoy of Gori and Yangpo and GHTSST Level 4 from 2016 to 2018. The buoy data was used to identify the change in sea water temperature and the cold water occurrence at Gori and Yangpo in the Southeast Sea. As a result, the sea water temperature of Gori and Yangpo decreased equally at the cold water occurrence. Therefore, the reciprocal of the sea water temperature and the variance of SST were compared to see the changes of SST when the cold water occurs. When the reciprocal of the sea water temperature increases, the dispersion of SST also increases. Through this, it can be seen that there is a change in the water temperature distribution of SST in the sea when the cold water occurs. After that, K-means clustering was used to classify the cold water. After analyzing the optimal K value for clustering by using the Elbow method, it was possible to classify a region with cold water. Through this, it is estimated that the spatial distribution and diffusion range of the cold water, and it can be estimated and used in future studies to identify damage caused by the cold water and predict spatial spread.

• Journal of the Korea Organic Resources Recycling Association
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• v.24 no.1
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• pp.21-29
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• 2016

We mix food waste leachate and sewage sludge by the proportion of 1:9, 3:7 and 5:5. It turns out that they produced 233, 298 and 344 $CH_4{\cdot}mL/g{\cdot}VS$ of methane gas. The result suggests that as the mixing rate of food waste leachate rises, the methane gas productions increases as well. And more methane gas is made when co-digesting sewage sludge and food waste leachate based on the mixing ratio, rather than digesting only sewage sludge alone. Modified Gompertz and Exponential Model describe the BMP test results that show how methane gas are produced from organic waste. According to the test, higher the mixing rate of food waste leachate is, higher the methane gas productions is. The mixing ratio of food waste leachate that produces the largest volume of methane gas is 3:7. Modified Gompertz model and Exponential model describe the test results very well. The correlation values($R^2$) that show how the results of model prediction and experiment are close is 0.92 to 0.98.