• 한국수자원학회논문집
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• 제56권spc1호
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• pp.1007-1014
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• 2023

천수방정식 기반 흐름해석모형은 하천 및 수로에서의 흐름을 수평 2차원적으로 수치모의하는데 활용되며 매개변수인 와점성계수와 조도계수에 큰 영향을 받는다. 따라서 적절한 매개변수의 선택은 흐름특성을 정확하게 모사하기 위해 매우 중요하다. 본 연구에서는 2차원 흐름해석에 적용되는 매개변수의 최적조합을 찾기 위한 자동화 알고리즘을 개발하고 적용하였다. 기존연구에서 2차원 흐름해석모형을 적용하는 경우 매개변수의 선정에 있어 경험적인 방법을 사용하여 최적의 매개변수를 찾는데 어려움이 있었다. 따라서 본 연구에서는 실험결과를 활용하여 다양한 매개변수의 조합에 따른 오차를 추적하고, 매개변수의 최적조합을 결정할 수 있는 알고리즘을 Python 언어를 이용하여 개발하고 적용하였다. 자동화 알고리즘은 121(11×11)개의 매개변수 조합에 따른 2차원 흐름해석결과 중 유속모의결과의 오차값을 비교하여 가장 정확한 조합을 손쉽게 결정하도록 구성되었다. 오차가 가장 작은 매개변수의 최적조합을 자동화 알고리즘의 적용을 통해 신속하고 간단하게 결정할 수 있다는 측면에서 높은 활용가치가 있을 것으로 기대된다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권7호
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• pp.3185-3189
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• 2014

Background: Breast cancer evolution and tumor progression are controlled by complex interactions between steroid receptors and growth factor receptor signaling. Aberrant growth factor receptor signaling can augment or suppress estrogen receptor function in hormone-dependent breast cancer cells. Thus, we aimed to investigate antitumor effects of sorafenib and lapatinib alone and in combination on MCF-7 breast cancer cells. Materials and Methods: Cytotoxicity of the sorafenib and lapatinib was tested in MCF-7 cells by XTT assays. 50, 25, 12.5 and $6.25{\mu}M$ concentrations of sorafenib and 200, 100, 50 and $25{\mu}M$ concentrations of lapatinib were administered alone and in combination. Results were evaluated as absorbance at 450nM and $IC_{50}$ values are calculated according to the absorbance data Results: Both sorafenib and lapatinib showed concentration dependent cytotoxic effects on MCF-7 cells. Sorafenib exerted cytotoxic effects with an $IC_{50}$ value of $32.0{\mu}M$; in contrast with lapatinib the $IC_{50}$ was $136.6{\mu}M$. When sorafenib and lapatinib combined, lapatinib increased cytotoxic effects of sorafenib at its ineffective concentrations. Also at the concentrations where both drugs had cytotoxic effects, combination show strong anticancer effects and killed approximately 70 percent of breast cancer cells. Conclusions: Combinations of tyrosine kinase inhibitors and cytotoxic agents or molecular targeted therapy has been successful for many types of cancer. The present study shows that both sorafenib and lapatinib alone are effective in the treatment of breast cancer. Also a combination of these two agents may be a promising therapeutic option in treatment of breast cancer.

• Journal of the Korean Data and Information Science Society
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• 제18권2호
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• pp.279-287
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• 2007

Data fusion is the process of combining multiple data in order to produce information of tactical value to the user. Data fusion is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences. Data fusion is also called data combination or data matching. Data fusion is divided in five branch types which are exact matching, judgemental matching, probability matching, statistical matching, and data linking. In this paper, we develop was macro program for statistical matching which is one of five branch types for data fusion. And then we apply data fusion and association rule techniques to environmental data.

• 보건행정학회지
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• 제11권2호
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• pp.85-122
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• 2001

This study compared and analyzed the effect of income-redistribution, collecting data on the basis of the estimated details of insurance contribution and individual money wage lists for each one year before and after the combination of medical insurance program for industrial workers, by systematic sampling, extracting 4,160 families(14,764 people) among people applied to medical insurance program for self employees in Taegu City on the basis of Oct. 1st in 1998 with 227 associations of medical insurance program for self employees and medical insurance program for government employees and private school teachers combined, comparing the effect of income redistribution of before and after the combination of medical insurance program for self employees. The insurance contribution by household after the combination of medical insurance program for self employees showed the increase rate of average 20.9%, among them households of 68.8% increased and 31.2% decreased. The effect of income-redistribution was more positive because the degree of inequality was more deepened from 0.64 of the before-combination to 0.45 of the after-one in decile distribution ratio, from 0.26 to 0.34 in Gini -coefficient. Decile distribution ratio on the basis of insurance benefits by household was from 0.09 in the before-combination to 0.14 in the after-one, Gini-coefficient from 0.16 in the before-combination to 0.57 in the after-one was a little lowered. And decile distribution ratio of insurance benefits on the basis of insurance contribution was higher from 1.08 in the before-combination to 1.23 in the after-one, concentration index was a little lowered from 0.14 to 0.11, the effect of income-redistribution was improved in the phase of insurance benefits. The income-transfer rate of medical insurance program for self employees (the occupied rate of insurance benefits/ the occupied rate of insurance contribution) showed a lower trend in all of the before and after-combination towards upper classes, it was known that the income-transfer rate was higher from 1st degree to 7th degree in the after-combination in comparison with the before-one, but the effect of income¬redistribution was high because the income-transfer rate was lowered from 8th degree to 10th degree. The rate of medical insurance benefits (insurance benefits/ insurance contribution) increased from 0.79 in the before-combination to 1.07 in the after-one, and showed over 1.0 under 3th degree before the combination, but all of it was higher than 1.0 under 7th degree after the combination, the after-combination was more improved than the before-one in view of the rate of insurance benefits. As the result of above, on the basis of Oct. 1st in 1998 that 227 associations of medical insurance program for self employees was combined into one, we could say that the equality of imposing medical insurance contribution was more re-considered in the after-combination than in the before-one. But this study analyzed with classes divided, anyway, on the basis of insurance contribution, we have limit in explaining the correct effect of income-redistribution, because it was not analyzed according to classes of income, though it helps to analogize the effect of income-redistribution. So there must be analysis about the effect of income-redistribution, on the basis of the system, building up the system to grasp the correct income of the insureds of medical insurance program for self employees.

• 방송공학회논문지
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• 제14권2호
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• pp.189-196
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• 2009

통신과 방송이 융합되는 모바일 데이터 방송에서 방송 아이템 스케줄링을 위한 방법으로서, 주기적인 방법과 on-demand 방법을 혼합한 새로운 방법을 제안한다. 방송 아이템은 DMB 등의 하향 방송채널을 통하여 전달되고, 사용자들의 요구 메시지는 셀룰러 폰, 무선랜, 와이브로 등의 다양한 상향 통신채널을 통하여 서버에 전달되는 환경을 가정한다. 서버는 사용자들의 요구 통계를 바탕으로, 방송할 데이터 아이템들을 인기 아이템과 비인기 아이템의 집합으로 나눈다. 그리고 인기 아이템 주기적인 방법으로 전송되고, 비인기 아이템에는 on-demand 방법을 적용한 혼합 형태로 스케줄링한다. 시뮬레이션을 통한 성능평가를 수행하여, 제안하는 스케줄링 방법이 기존의 방법들에 비하여 적은 응답대기시간과 높은 응답성공률을 나타냄을 확인하였다.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2005년도 추계학술대회
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• pp.35-45
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• 2005

Data fusion is method to combination data. The purpose of this study is to design and implementation for street fashion information analysis system using data fusion. It can offer variety and actually information because it can fuse image data and survey data for street fashion. Data fusion method exists exact matching method, judgemental matching method, probability matching method, statistical matching method, data linking method, etc. In this study, we use exact matching method. Our system can be visual information analysis of customer's viewpoint because it can analyze both each data and fused data for image data and survey data.

• Journal of the Korean Data and Information Science Society
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• 제28권4호
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• pp.721-731
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• 2017

이 연구에서는 Lasso 페널티 방법을 이용한 주성분분석 방법을 소개한다. 주성분분석에 Lasso 페널티를 적용하는 방법으로 흔히 사용되는 방법은 크게 두 가지가 있다. 첫 번째 방법은 주성분을 반응변수로 놓고 원 자료행렬을 설명변수로 하는 회귀분석의 회귀계수를 이용하여 최적의 선형결 합 벡터를 구할 때 Lasso 페널티 (일반적으로 elastic net 페널티)를 부과하는 방법이다. 두 번째 방법은 원자료행렬을 비정칙값 분해로 근사하고 남은 잔차행렬에 Lasso 페널티를 부과하여 최적의 선형결합 벡터를 구하는 방법이다. 이 연구에서는 주성분 분석에 Lasso 페널티를 부과하는 이 두 가지 방법들을 자세하게 개관하는데, 이 방법들은 변수 숫자가 표본크기보다 큰 경우에도 적용가능한 장점이 있다. 또한 실제 자료분석에서 R 프로그램을 통해 두 방법을 적용하고 그 결과를 비교한다. 구체적으로 변수 숫자가 표본크기보다 큰 Ahamad (1967)의 crime 자료에 적용한다.

• 대한지역사회영양학회지
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• 제14권5호
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• pp.565-575
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• 2009

The purpose of this study was to propose the appropriate sizes and dish combination for nutritional-balanced lunch boxes delivered to children under the government-funded meal service program in Korea. The study was based on the 3 : 1 : 2 Meal Box Magic, a nutrition education method developed in Japan. A total of 290 lunch menus, comprising of 10 day menus from 29 organizations having delivered lunch boxes to children during summer vacation of 2008, were analyzed and used as the base data for lunch box combination. Dishes of the menus were classified into 6 groups: Rice group, Protein side dish group (including meat, fish, egg, and bean dishes), Vegetable side dish group, Kimchi group (including kimchi and jangajji), Soup stew group, and the other group. Nutrient analysis was conducted for 100 ml of these dishes by CAN Pro 3.0 utilizing volume and weight conversion data used for analysis of the Korea Health and Nutrition Examination Survey and those from the Nutrient Composition of Food for Consumers. All the possible combinations of 5 dishes, comprising of 3 dishes from Rice group, Protein side dish group, and Kimchi group, respectively, and 2 dishes from Vegetable side dish group, were made using the frequently served dishes from the respective dish group. Nutrient analysis of each combination was conducted based on the assumption that a lunch box was 600 ml and filled up to 80% by dishes using the volume ratio of 3 : 1 : 1.5 : 0.5 for Rice group : Protein side dish group : Vegetable side dish group : Kimchi group. The mean and standard deviation of energy and nutrients of all combinations calculated by weighting the serving frequency of each dish selected for the combinations were $621\pm81$ kcal for Energy, $22.1\pm5.0$ g for Protein, $120\pm45$ mg for Calcium, $4.1\pm1.1$ mg for Iron, $201\pm130\;{\mu}g$ RE for Vitamin A, $0.34\pm0.10$ mg for Thiamin, $0.27\pm0.10$ mg for Riboflavin, and $24.3\pm9.6$ mg for Vitamin C. The energy percentages from Carbohydrate, Protein and Fat were 66%, 14% and 20%. The analysis results met the nutrition standard of lunch boxes for male elementary students in grades 4 through 6 under the government-funded meal service program regarding calories, nutrients except calcium and riboflavin, and macronutrient distribution ranges. Accordingly appropriate box sizes were suggested for different age and sex groups to meet the respective nutrition standards. In addition, milk or dairy products were suggested to accompany lunch boxes to supplement calcium and riboflavin intake. The method of selecting box sizes and making dish combination suggested in this study could be useful for the organizations preparing lunch boxes under the government-funded children's meal service program where nutrition professionals are not available.

• 대한원격탐사학회지
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• 제21권2호
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• pp.145-162
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• 2005

SAR 자료의 분류에서 토지 피복 구분 분류 정확도의 향상을 위해 이 논문은 다중 시기 SAR 자료를 이용한 분류에서의 특징 추출과 정보 융합 방법론을 제시하였다. 다중 시기 SAR 센서의 산란 특성을 고려하여 평균 후방 산란계수, 시간적 변이도와 긴밀도를 특징으로서 추출하였다. 이렇게 추출된 특징의 효율적인 응합을 위해 Dempster-Shafer theory of evidence(D-S 이론)와 퍼지 논리를 적용하였다. 특히 D-S 이론의 적용시 특징 기반 mass function 할당을 제안하였고, 퍼지 논리의 적용시 다양한 퍼지 결합 연산자의 결과를 비교하였다. 다중 시기 Radarsat-1 자료에의 적용 결과, 추출된 특징들은 서로 상호 보완적인 정보를 제공할 수 있으며 수계, 논과 도심지를 효율적으로 구분할 수 있었다. 그러나 산림과 밭은 구분이 애매한 경우가 나타났다. 정보 융합 방법론 측면에서, D-S 이론과 퍼지 Max와 Algebraic Sum 연산자를 제외한 다른 퍼지 연산자는 서로 유사한 분류 정확도를 나타내었다.

• Journal of Acupuncture Research
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• 제34권2호
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• pp.1-18
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• 2017

Objectives : The purpose of this study was to evaluate the effects of water extracts of Eucommiae cortex (EC), Psoraleae semen (PS), and their combination on receptor activator of nuclear factor-kappa-B ligand (RANKL)-induced osteoclast differentiation. Methods : We assayed the protein expression levels of nuclear factor of activated T-cells, cytoplasmic 1 (NFATc1), c-Fos, mitogen-activated protein kinases (MAPKs), and ${\beta}-actin$ in cell lysates using western blotting. Similarly, mRNA expression levels of NFATc1, c-Fos, tartrateresistant acid phosphate (TRAP), and glyceraldehyde-3-phosphate dehydrogenase, spermatogeni (GAPDHS) from bone marrow macrophages (BMMs) were analyzed using reverse transcription-polymerase chain reaction (RT-PCR). Furthermore, we determined the anti-osteoporotic effects of the water extracts of EC, PS, and their combination in a lipopolysaccharide (LPS)-induced bone-loss mouse model. Results : The in vitro data revealed showed that the combination of EC and PS extract showed a more remarkable inhibition of osteoclast differentiation than each herb did alone. The combination downregulated the induction of c-Fos, NFATc1, and TRAP by suppressing the phosphorylation of p38 and c-Jun N-terminal kinases (JNKs) and inhibiting nuclear factor kappa-light-chain-enhancer of activated B cells ($NF-{\kappa}B$). Lastly, the in vivo data showed that PS reduced the LPS-induced bone erosion. Conclusion : The result of this study suggests that EC and PS could be potential therapeutic agents for bone loss diseases such as osteoporosis.