• 디지털콘텐츠학회 논문지
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• 제13권3호
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• pp.317-324
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• 2012

최근 R&D 투자효율성 제고를 목표로 사업 간의 유사중복 조정에 대한 중요성이 강조되고 있으나, 과제 혹은 예산요구서 내용 등을 텍스트 기반으로 비교하는 기존 유사검색 방식은 내용의 품질 편차 등으로 인해 유의미한 유사성 도출에 제한점이 있다. 이러한 텍스트 기반의 키워드 추출을 통한 유사검색 한계성을 극복하기 위한 방안으로 본 연구에서는 사업 간 유사도 분석 시 과제의 기술분류를 활용한다. 국가R&D사업 조사 분석 시 수집된 과제들의 과학기술표준분류를 추출하여 사업별 고유벡터 모형을 생성 후 이를 이용하여 코사인 기반, 유클리디안 거리기반 알고리즘을 통해 각 사업 간 유사도를 측정하였으며 기존 키워드 추출방식으로 유사도를 측정한 결과와의 비교를 통해 연구 효율성을 검증하였다.

• Nuclear Engineering and Technology
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• 제53권6호
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• pp.2011-2018
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• 2021

Nowadays, evaluation of amounts and distributions of radioactive waste is an important preparatory step in the process of nuclear reactor decommissioning. For tentative estimation of radioactive waste, a cell-based rigorous 2 step (R2S) method usually is used; however, a poor resolution caused by the averaged flux and spectrum in a cell is still a great challenge because of leading to underestimated or overestimated results. To overcome the poor resolution, several systems were introduced. Neither system, however, provides any function for evaluation of radioactive waste amount and distribution. Thus, it is additionally required to classify radioactive waste based on the results of activation calculation. In this study, the advanced R2S (AR2S) system was developed. To verify the performance of the system, its results for a verification problem were compared with those of the cell-based R2S method. The results showed good agreement, which is to say, within 2.0% relative error. Also, several characteristics of fine/coarse mesh were analyzed. To demonstrate the performance of the AR2S system, the radioactive waste from the Japan Power Demonstration Reactor (JPDR) was estimated, and the result indicated a high-resolution distribution. Therefore, it is expected that the AR2S system will prove useful for precise evaluation of radioactive waste.

• 대한약학회:학술대회논문집
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• 대한약학회 2000년도 NEW STRATEGY FOR DRUG DEVELOPMENT IN POST-GENOMIC ERA(대한약학회)
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• pp.213.2-213.2
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• 2000

• 한국컴퓨터정보학회논문지
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• 제16권8호
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• pp.103-108
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• 2011

대표적인 소수판별법으로 밀러-라빈방법이 적용되고 있다. 밀러-라빈판별법은 m=[2, n-1]에서 m을 k개 선택하여 n-1=$2^sd$, $0\;{\leq}\;r\;{\leq}\;s-1$ 에 대해 $m^d\;{\equiv}\;1(mod\;n)$ 또는 $m^{2^rd}\;{\equiv}\;-1(mod n)$로 소수를 판별하여 $k{\times}r$회를 수행한다. 본 논문은 c=$p^{\frac{n-1}{2}}(mod\;n)$을 계산하여 c=-1이면 소수로 판별하여 k회 수행하였다. 제안된 판별법은 밀러-라빈 판별법의 $k{\times}r$회를 k회로 감소시켰다.

• 대한수학회논문집
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• 제9권2호
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• pp.491-502
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• 1994

Many problems arising in science and engineering require the numerical solution of a system of n nonlinear equations in n unknowns: (1) given F : $R^{n}$ $\rightarrow$ $R^{n}$ , find $x_{*}$ $\epsilon$ $R^{n}$ / such that F($x_{*}$) = 0. Nonlinear problems are generally solved by iteration. Davidson [3] and Broyden [1] introduced the methods which had led to a large amount of research and a class of algorithm. This work has been called by the quasi-Newton methods, secant updates, or modification methods. Newton's method is the classical method for the problem (1) and quasi-Newton methods have been proposed to circumvent computational disadvantages of Newton's method.(omitted)

• 한국토양비료학회지
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• 제49권5호
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• pp.480-488
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• 2016

Soil microbes are widely well known to play an important role for sustainable agriculture in terms of crop healthy cultivation and environmental conservation. In this context, the distributional characteristics of soil microbes according to cropping systems were investigated under rice (R)-rice (R), rice (R)-barley (B)-rice (R), and soybean (S)-barley (B)-soybean (S) cropping condition to get basic informations for sustainable agriculture, where barley was grown for winter, in mid-mountainous loam paddy located at the altitude of 285 m above sea level in Sangju area from 2014 to 2015. Estimating from microbial communities by fatty acid methyl ester (FAME) method, a total biomass of bacteria, actinomycetes, and fungi in R-B-R plot was 37% and 40% higher than that in S-B-S and R-R plots, respectively (p < 0.05). In especial, bacteria and fungi were more in R-B-R plot than those in any other ones. B. japonicum, AMF, and mesophilic Bacillus sp. were also greater in S-B-S plot than those. In the community distribution, however, bacteria and actinomycetes showed comparatively high values in S-B-S plot relative to either R-R or R-B-R plot including rice, in which fungi outstanding. In the correlation between microbial biomass and soil properties changed by the cropping, bacteria was positively correlated with C:N ratio; actinomycetes with exchangeable Ca; fungi with available $P_2O_5$ (p < 0.05). While these microbes showed negative response to water stable aggregates of soil.

• 대한한의진단학회지
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• 제10권1호
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• pp.78-97
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• 2006

Background: There was seldom study about method that estimate expertness of pulse diagnosis in 8 Constitution Medicine in spite of the diagnostician importance in 8 Constitution Medicine Objectives: This study is to evaluate diagnostician's consistency and accuracy about pulse diagnosis in 8 Constitution Medicine using Cage R&R study. Methods: The subjects were comprised of 28 volunteers. Among theme, 3 diagnosticians and 10 participants were chosen through questionnaire. Diagnosticians diagnosed participant's Constitution by pulse diagnosis in 8 Constitution Medicine with hiding their eyes by eyepatch. MINITAB statistical software(ver. 13.20) was used for statistical analysis: Attribute Cage R&R study was used to verify the results. Results: 1. In the measurements of consistency, diagnostician b(agreement=80%, Value of k=0.8276)was very good, diagnostician a(agreement=70%, Value of k=0.7465) was good, and diagnostician c(agreement=50%, Value of k=0.5365) was moderate. 2. In the measurements of accuracy, diagnostician b(agreement =70%, Value of t=0.6812) was good, diagnostician a(agreement=60%. Value of t=0.6414) was good, and diagno-stician c(agreement=0%, Value of k=-0.1000) was poor. 3. In cofidence of diagnosis, diagnostician c was 75%, diagnostician a was 70%, and diagnostician b was 64%. Conclusion: The results suggest that diagnostician's consistency and accuracy about pulse diagnosis in 8 Constitution Medicine can be evaluated by Cage R&R study. further study is needed for estimation method of pulse diagnosis in 8 Constitution Medicine.

• 미생물학회지
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• 제43권3호
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• pp.210-216
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• 2007

개량된 manual법과 ISOIL kit를 이용하여 산림토양의 부식층 토양시료로부터 추출한 DNA를 대상으로 16S rDNA PCR 증폭산물을 cloning하고 구축된 clone에 대해 ARDRA cluster분식을 수행한 결과, 개량된 manual법에 의해 구축된 136 clones은 45개 ARDRA cluster로, ISOIL kit를 이용한 경우 충 76 clones은 44개 ARDRA cluster로 분류되었다. 각clone cluster로부터 대표 clone을 선발하여 16S rDNA염기서열을 결정한 결과, ISOIL kit의 경우 44개 대표clone은 ${\alpha}-,\;{\beta}-,\;{\gamma}-,\;{\delta}-Proteobacteria$, Acidobacteria 및 Actinobacteria의 3개 phylum계통군이 확인되었으며, 개량된 manual법에 의한 45개 대표 clone은 ${\alpha}-,\;{\beta}-,\;{\gamma}-,\;{\delta}-Proteobacteria$, Acidobacteria, Bacteroides, Verrucomicrobia, Planctomycetes, 그리고 Gemmatomonadetes의 충 6개 phylum의 다양한 계통군이 검출되었다. 이상의 결과로부터 개량된 manual법에 의래 추출된 DNA를 대상으로 계통학적 군집해석을 수행한 결과가 보다 더 다양한 계통군을 검출할 수 있음이 밝혀졌다. 한편, ISOIL kit를 이용하여 구축된 총clone중 약40%가${\alpha}-proteobacteria$ 계통군에 속하였으며, 약 30%가 ${\gamma}-Proteobacteria$ 계통군에 속하여 우점 계통군으로 확인된 반면, manual법에 의해 구축된 clone의 41%가 Acidobacteria 계통군에 속하였고 ${\alpha}-proteobacteria$(28%)가 우점 계통군으로 분포하는 계통학적 특징을 나타내어 DNA추출법에 따라 토양 세균군집 구조의 계통학적 특성 이 상이하게 나타나고 있음을 알 수 있었다.

• 지구물리와물리탐사
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• 제17권1호
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• pp.11-20
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• 2014

원주시 저고도 지역에서의 천부 횡파속도($v_s$) 및 부지특성을 파악하기 위해 2013년 2월부터 2013년 9월 사이의 20일간 4.5 Hz 수직 지오폰 12 ~ 24개를 이용하여 원주시계 내의 78 지점에서 레일리파를 기록하였다. 레일리파 분산곡선은 확장된 공간자기상관함수법으로 구하였고, $v_s$를 구하기 위하여 감소최소자승법으로 역산하였다. 이들 1-D 모델로부터 구한 풍화암질 기반암의 깊이($D_b$), 기반암의 횡파속도($v_s^b$), 토양층의 평균 횡파속도($\bar{v}_s^s$), 30 m까지 평균 횡파속도($v_s30$)는 95% 신뢰구간에서 각각 $16.3{\pm}0.7m$, $576{\pm}8m/s$, $290{\pm}7m/s$, $418{\pm}13m/s$로 산출되었다. $v_s30$의 적절한 지시자를 결정하기 위해서 $v_s30$과 지표면 경사도(r = 0.46) 및 고도(r = 0.43)와의 상관계수를 계산하였고, 개별적으로 평가한 $v_s30$과의 상관성을 종합하여 지표면 경사도, 고도, 암상의 가중치를 각각 0.45, 0.45, 0.1으로 하는 선형 경험식을 제시하였다. 그러나 이 경험식과 역산으로 구한 $v_s30$의 상관성이 미약하여(r = 0.50), 적용시에는 상대적으로 큰 오차범위를 고려해야 할 것이다.

• Journal of Radiation Protection and Research
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• 제44권2호
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• pp.64-71
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• 2019

Background: It is very difficult to distinguish between a radioactive contamination source and background radiation from natural radionuclides in the marine environment by means of online monitoring system. The objective of this study was to investigate a statistical process for triggering abnormal level of count rate data measured from our on-line seawater radioactivity monitoring. Materials and Methods: Count rate data sets in time series were collected from 9 monitoring posts. All of the count rate data were measured every 15 minutes from the region of interest (ROI) for $^{137}Cs$ ($E_{\gamma}=661.6keV$) on the gamma-ray energy spectrum. The Shewhart ($3{\sigma}$), CUSUM, and Bayesian S-R control chart methods were evaluated and the comparative analysis of determination methods for count rate data was carried out in terms of the false positive incidence rate. All statistical algorithms were developed using R Programming by the authors. Results and Discussion: The $3{\sigma}$, CUSUM, and S-R analyses resulted in the average false positive incidence rate of $0.164{\pm}0.047%$, $0.064{\pm}0.0367%$, and $0.030{\pm}0.018%$, respectively. The S-R method has a lower value than that of the $3{\sigma}$ and CUSUM method, because the Bayesian S-R method use the information to evaluate a posterior distribution, even though the CUSUM control chart accumulate information from recent data points. As the result of comparison between net count rate and gross count rate measured in time series all the year at a monitoring post using the $3{\sigma}$ control charts, the two methods resulted in the false positive incidence rate of 0.142% and 0.219%, respectively. Conclusion: Bayesian S-R and CUSUM control charts are better suited for on-line seawater radioactivity monitoring with an count rate data in time series than $3{\sigma}$ control chart. However, it requires a continuous increasing trend to differentiate between a false positive and actual radioactive contamination. For the determination of count rate, the net count method is better than the gross count method because of relatively a small variation in the data points.