• The KIPS Transactions:PartD
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• v.10D no.5
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• pp.805-812
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• 2003

This paper presents a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process (NHPP) and performs Bayesian inference using prior information. The failure process is analyzed to develop a suitable mean value function for the NHPP; expressions are given for several performance measure. The parametric inferences of the model using Logarithmic Poisson model, Crow model and Rayleigh model is discussed. Bayesian computation and model selection using the sum of squared errors. The numerical results of this models are applied to real software failure data. Tools of parameter inference was used method of Gibbs sampling and Metropolis algorithm. The numerical example by T1 data (Musa) was illustrated.

• Resources Recycling
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• v.5 no.4
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• pp.32-41
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• 1996

The objective of this study was to investigate the facton affecting the property of CaCO, farmed from CaClz-Na,CO,-HiOsystem. The effcct of the concentmtlon of reaclants, impurity, the pH of reaction, the addition of sccd crystal, and injectingvelocity af reaclant solution an thc yield oI CaCO; polymorphs. parlide size and whiteness of CaCO, were investigated. Thcmqor resulls are ;o fallows; I The optimum concentratinn of reildilnts for forming vaterlte and aragonite is the range of 0.1-1.0 mol/l, when the yicld of vittcrite and araga~nles howed 7542% and XU-90%. respedively. 2. Among thc composition of impunticscontained h limestone, Fe' decrease the wh~tcness nf CaCO;. md Mg" increase the yield of aragonite. 3. The pHrange of vaterite and aragonite are formed with high yield is 8-11, and Calcite is famed in pH 6-8 with big particle size of 1over and in pH 11-13 with small particle size of I under. 4. The yicld of calcite and aragonite was increased by addingthc seed cryst.al nf itself.d cryst.al nf itself.

• The Optical Journal
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• s.113
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• pp.20-22
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• 2008

중국 진출기업의 경영환경이 과거에 비하여 그 매력도가 현저히 떨어지고 있는 점은 사실이다. 그러나 중국 정부의 정책변화 등 부정적인 요소가 많음에도 중국은 전 세계 다국적 기업의 90% 이상이 진출해 있는 명실상부한 세계경제의 중심지이다. 우리나라와는 한자를 바탕으로 한 문화적 동질감.지리적인 이점.우호적인 국민정서 등의 면에서 여전히 매력적인 활용의 대상이다. 따라서 중국에 진출한 한국기업이 생존하고 국제경쟁력을 갖추기 위해서는 가장 먼저 중국을 생산기지 개념이 아닌 확대된 내수시장으로 보고 기술력 우위 확보를 위해 끊임없이 R&D에 투자해야 한다. 또한 강도 높은 현지화 전략 추진, 강력한 경영혁신과 원가절감 활동 등이 무엇보다 절실하다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.199-205
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• 2003

본 연구의 목적은 한일 온라인게임 시장의 고객을 세분화하여 국내기업이 일본 온라인게임 시장에 진출할 때 고려해야 될 전략을 도출하는데 있다. 이를 위해 MCFA와 SOM을 이용하고자 한다. 먼저 MCFA를 통해 한일 온라인게임 시장의 고객 몰입에 영향을 주는 요인들이 무엇이며, 이러한 요인의 측정 동질성이 같은지를 먼저 검증하였다. 이러한 방법을 통해 검증된 요인으로는 도구, 보상, 디자인, 정보제공, 공동체를 들 수 있다. 다음으로 SOM을 이용해 위에서 구한 요인을 기준으로 한일 온라인게임 시장의 고객을 세분화하고자 한다. 이후 이렇게 세분화된 고객의 특성을 도출하기 위해 Decision Tree를 이용하고자 한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.300-300
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• 2016

지점빈도해석은 해당 지점에서 기록된 수문자료를 바탕으로 확률론적 방법을 이용하여 해당 지역의 수문학적 현상을 해석하는 방법이다. 최근 이상 기후현상을 통해 극치 사상이 발생하고 있다. 이러한 극치 사상은 지점빈도해석을 이용하여 확률수문량을 추정하는데 많은 영향을 미친다. 특히 해당 지점의 표본 크기가 작을수록 이러한 영향은 좀 더 크게 반영 될 수 있다. 반면 지역빈도해석은 지점의 표본 수가 적거나 수문자료의 수집이 불가능한 미계측지점인 경우, 해당 지점과 수문학적으로 동질하다고 여겨지는 주변 지점들의 자료를 확보하여 확률수문량을 추정함으로써 상대적으로 지점빈도해석 보다 roubst한 추정값을 얻을 수 있다. 따라서 최근 확률수문량 산정 기법으로 지역빈도해석 방법에 관한 관심이 높아지고 있는 실정이다. 지역구분은 지역빈도해석이 지점빈도해석과 구분 될 수 있는 큰 특징이고 지역구분 결과 따라 지역의 표본 크기가 결정되기 때문에 수문학적으로 동질한 지역을 나누는 방법은 매우 중요하다고 볼 수 있다. 본 연구에서는 한강유역을 대상으로 인공신경망을 이용한 군집분석을 수행하고 구분된 지역을 이용하여 지역빈도 해석을 수행하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.404-404
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• 2017

이상기후현상으로 인해 극치 수문 사상들이 빈번히 발생함에 따라 상대적으로 높은 재현기간에 해당하는 극치 수문 사상해석에 대한 관심이 높아지고 있다. 그러나 우리나라의 경우 이러한 극치 수문 사상을 추정하기 위한 표본의 수가 부족한 실정이다. 지역빈도해석은 지점의 표본 수가 적거나 수문자료의 수집이 불가능한 미계측지점인 경우, 해당 지점과 수문학적으로 동질하다고 여겨지는 주변 지점들의 자료를 확보하여 확률수문량을 추정함으로써 상대적으로 지점빈도해석 보다 roubst한 추정값을 얻을 수 있다는 장점을 가지고 있다. 따라서 최근 확률수문량 산정 기법으로 지역빈도해석 방법에 관한 관심이 높아지고 있다. 지역구분은 지역빈도해석이 지점빈도해석과 구분될 수 있는 큰 특징이고 지역구분 결과 따라 지역의 표본 크기가 결정되기 때문에 수문학적으로 동질한 지역을 나누는 방법은 매우 중요하다고 볼 수 있다. 인공신경망은 인간의 뇌가 학습하는 방식을 모사한 통계적 모델링 기법이다. 즉, 인간의 뇌가 일정한 반복 학습을 통해 어떠한 문제의 해법을 추론하거나 예측, 또는 패턴을 인식하는 일련의 과정을 알고리즘화 하여 목적함수의 해를 찾는 방식이다. 특히, 주어진 자료들로 부터 특징을 추출하고 그 특징을 학습하여 전체 자료의 분류나 군집화를 이루는데 널리 이용되고 있다. 본 연구에서는 낙동강유역을 대상으로 인공신경망을 이용한 군집분석을 수행하고 구분된 지역을 이용하여 지역빈도해석을 수행하였다.

• Journal of Korea Water Resources Association
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• v.47 no.8
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• pp.671-684
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• 2014

Change point analysis is a efficient tool to understand the fundamental information in hydro-meteorological data such as rainfall, discharge, temperature etc. Especially, this fundamental information to change points to future rainfall data identified by reasonable detection skills can affect the prediction of flood and drought occurrence because well detected change points provide a key to resolve the non-stationary or inhomogeneous problem by climate change. Therefore, in this study, the comparative study to assess the performance of the 3 change point detection skills, cumulative sum (CUSUM) method, Bayesian change point (BCP) method, and segmentation by dynamic programming (DP) was performed. After assessment of the performance of the proposed detection skills using the 3 types of the synthetic series, the 2 reasonable detection skills were applied to the observed and future rainfall data at the 5 rainfall gauges in South Korea. Finally, it was suggested that BCP (with 0.9 posterior probability) could be best detection skill and DP could be reasonably recommended through the comparative study. Also it was suggested that BCP (with 0.9 posterior probability) and DP detection skills to find some change points could be reasonable at the North-eastern part in South Korea. In future, the results in this study can be efficiently used to resolve the non-stationary problems in hydrological modeling considering inhomogeneity or nonstationarity.

• Journal of Science Education
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• v.41 no.2
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• pp.195-212
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• 2017

Small group learning is an educational approach to allow students to solve the problems and to achieve a common goal. Especially, small group learning in science education is one of the most important educational approaches and effective to ensure understanding of a topic. Small group learning consisting of three students in science education maximize student understanding and learning efficiency. However, It is reported that the effects of small group learning on achievement show different results, corresponding to different grouping methods(homogeneous/heterogeneous). This study investigated the effects of grouping method on difference of ecological niche of photosynthesis concepts. To achieve this, 1107 7th students were composed of homogeneous and heterogeneous groups classified into top, middle, and bottom levels. The photosynthesis units were divided into four categories: the photosynthesizing place, the substances of photosynthesis, required materials for the photosynthesizing, and environmental factors affecting photosynthesis. A questionnaire was composed by selecting concepts having a frequency of 4% or more based on prior studies on the change of the ecological status of photosynthesis. The questionnaire was scored in terms of relativity and understanding on each of the proposed concepts in the four categories. The result of this study is as set forth below. 1) There was an enhancement of learning the concept of science in small group classes consisting of 3 students. 2) To enhance the average upon composing of a group, it is proposed that the group should be formed homogeneously, and to reduce the deviation between the members, it is proposed that the group should be formed heterogeneously. Through this study, it is expected that specific studies verifying the difference or effect on the duplicity of results are conducted based on the composition of groups.

• Journal of The Korean Association For Science Education
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• v.22 no.3
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• pp.660-670
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• 2002

The purposes of this study were to categorize the type of student-student interaction and analyze the pattern of group interaction by cognitive level in interactive science inquiry experiments. For this study, two homogeneous and two heterogeneous groups by cognitive level were selected. Social interactions during group discussions were audio/video taped. The types of student's interaction were classified as intellectual and emotional aspects. Intellectual aspects were consisted of asking question, response, making suggestion, receiving opinion and then further coded by interaction level. Emotional aspects were consisted of relevance to behavioral participation, relevance to students' feeling, reaction to opinion. Interaction frequency in the intellectual and emotional aspect between homogeneous and heterogeneous group were compared to analyze interaction pattern. The results of this study showed that in intellectual aspect the frequency and quality of interaction in homogeneous group was higher than that in heterogeneous group. In emotional aspect. homogeneous group more showed such negative attitude as lack of confidence and dissatisfaction than heterogeneous group, on the other hand showed acceptable mood to be able to accept or object to peer's opinion. Some educational implications were drawn.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.7 no.4
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• pp.648-657
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• 1997

In order to investigate the polymorphism of wagnerite, the single phase of$Mg_3(PO_4)_2$ was synthesized by heating the stoichiometric mixture of $Mg_3(PO_4)_2$ and $MgF_2$ in a sealed platinum tube at $1040^{\circ}C$ (or 3 hours, One reversible inversion was detected at $1255^{\circ}C$ and the thermal decomposition was not observed until it reached the melting point. As a result, wagnerite is thermally stable enough to be used as pigments for glazes and plastics if substituted with divalent metal ions. The contractions of d-values in $Zn_4P_2O_8F_2$ and $Zn_3MgP_2O_8F_2$ phases were observed by the substitution with metal ions which resulted in intense purple, gold and green colors. Among the several attempts of charge - coupled sub-stitution, only $A^{1+}A_3^{2+}X^{5+}X^{6+}O_8_F2$ compositions were successful to synthesize the wagnerite phase.