• Proceedings of the Korea Society of Mathematical Education Conference
• /
• 2006.04a
• /
• pp.211-226
• /
• 2006

이 연구는 수학 창의적 문제해결력을 바탕으로 수학 영재를 판별하기 위해서 수학 창의적 문제해결력 검사를 개발하고, 유창성만으로 수학 창의성을 평가한 이 검사 방법의 신뢰도와 타당도를 검증하는데 있다. 10개의 개방적인 수학 문제를 개발한 바, 수학적으로는 직관적 통찰력, 정보 조직력, 추론능력, 일반화 및 적용력, 반성적 사고력을 요구하는 문제들이다. 이 10문항을 영재교육기관에 입학하고자 지원한 초등학교 5학년 2,2029명에게 실시했다. 교사들은 각 문제에 대해 타당한 답을 제시한 빈도로 유창성을 측정했다. 학생들의 반응은 Rasch의 1모수 문항반응모형을 기반으로 한 BIGSTEPTS 로 분석했다. 문항반응 분석결과, 이 검사는 창의성을 유창성만으로 측정할 때도 영재판별 검사로서 신뢰도, 타당도, 난이도, 변별도가 모두 양호한 것으로 나타났다. 덜 정의되고, 덜 구조화되고, 신선한 문제가 영재교육 프로그램에 지원한 학생들의 수학 창의성을 측정하는데 좋은 문제임을 확인할 수 있었다. 또한 이 검사는 남학생이 여학생보다 수학 창의적 문제해결력이 우수하며, 영재교육원에 지원한 학생들이 수학영재학급에 지원한 학생들보다 더 우수함을 확인해 주었다.

• Communications of Mathematical Education
• /
• v.17
• /
• pp.181-190
• /
• 2003

이 연구에서는 이강섭 ${\cdot}$ 황동주 ${\cdot}$ 서종진(2003)의 자료를 추가 분석하여 다음과 같은 결과를 얻었다. 첫째, 이 검사에 참여한 모든 학생들이 0${\sim}$80% 정도의 성취도를 보이고 있으므로 개방형 문항이 수학 창의성을 변별하거나 수학 영재를 판별하는 도구로 유용하게 사용될 수 있다. 둘째, 개방형 문항은 학년별 (중1 및 중2)차이는 유창성과 문항 2를 제외하고는 무관하다는 것을 나타내고 있다. 셋째, 집단별(일반학생 및 영재학생)차이는 p<.01 수준에서 문항 1에서 문항 5까지의 모든 문항과 유창성, 융통성, 독창성에서 차이를 보이고 있다.

• The Korean Journal of Financial Management
• /
• v.19 no.2
• /
• pp.111-134
• /
• 2002

본 연구에서는 건설업종에 특화된 신용평가 모형을 개발하여 건설업종에 대한 부도 예측력를 제고하고자 하였다. 건설업은 여타 업종과는 다른 재무적 특성을 지니고 있다. 특히, 재무적 안정성이 취약하고 자산의 대부분이 매출채권, 재고자산으로 구성되어 유동성이 극히 낮은 실정이다. 본 연구는 이러한 건설업종의 특성을 충분히 감안한 신용평가 모형을 개발하고자 한것이다. 신용평가 모형 중 그 현실적 유용성이 높아 많이 이용되어 오던 신용평점 모형을 개발하였다. 총 2,475개 건설업체를 대상으로 모형구조 및 각종 계량지표 및 비계량지표에 대한 분석을 주로 평균차이 검증과 로짓분석에 의거 선정하였다. 그 결과 새로운 신용평점 모형은 매출액 경상이익률, 총 현금흐름 대 차입금 비율 등 9개의 재무지표와 5분류의 비재무지표로 구성되었다. 이 모형을 기존의 신용평점모형과 비교한 결과 신규모형의 변별력이 높은 것으로 나타났다. 본 연구가 제시한 신용평점모형과 그 개발 방법이 향후 금융기관들의 부실을 줄이고 결과적으로 수익성을 개선하는데 일조하리라 기대된다.

• Journal of Internet Computing and Services
• /
• v.20 no.4
• /
• pp.21-27
• /
• 2019

Selection of feature pattern gathered from the observation of the RNA sequencing data (RNA-seq) are not all equally informative for identification of differential expressions: some of them may be noisy, correlated or irrelevant because of redundancy in Big-Data sets. Variable selection of feature pattern aims at differential expressed gene set that is significantly relevant for a special task. This issues are complex and important in many domains, for example. In terms of a computational research field of machine learning, selection of feature pattern has been studied such as Random Forest, K-Nearest and Support Vector Machine (SVM). One of most the well-known machine learning algorithms is SVM, which is classical as well as original. The one of a member of SVM-criterion is Support Vector Machine-Recursive Feature Elimination (SVM-RFE), which have been utilized in our research work. We propose a novel algorithm of the SVM-RFE with Q-learning in reinforcement learning for better variable selection of feature pattern. By comparing our proposed algorithm with the well-known SVM-RFE combining Welch' T in published data, our result can show that the criterion from weight vector of SVM-RFE enhanced by Q-learning has been improved by an off-policy by a more exploratory scheme of Q-learning.

• Therapeutic Science for Rehabilitation
• /
• v.10 no.4
• /
• pp.25-38
• /
• 2021

Objective : This study aimed to establish an analytic methodology that can objectively evaluate the proverb comprehension levels that vary based on the aging process. Method : This study recruited 70 normal elderly aged ≥ 65 years and performed proverb comprehension tasks using an explanation method. A scoring estimation method was designed on 3 and 5-point scales. The difficulty and discrimination levels were calculated based on the two scales, thereby selecting the final questions and evaluation scale. Results : First, the item discrimination index on the 5-point scale was relatively higher than that on the 3-point scale, and 10 items were finally selected. Second, in terms of proverb comprehension ability, the elderly group aged 70 ~ 84 years showed significantly lower performance than those aged 65 ~ 69 years. Additionally, subjects with ≥ 10 years of education showed significantly higher performance than those with 9 ≤ years of education. Third, the performance of the proverbs comprehension task negatively correlated with the reaction time of the executive function task. Conclusion : Proverb comprehension is a task that can distinctively show a deterioration of brain functions in line with the aging process even among the normal elderly group and therefore, can estimate the difference more effectively with an increase in the score of the evaluation scale.

• The Journal of the Korea Contents Association
• /
• v.20 no.3
• /
• pp.452-461
• /
• 2020

The purpose of this study is to identify how learners perceive mobile technology-based learning materials. For this purpose, two methods were utilized. Using multi-dimensional scale(MDS), it was identified that how learners perceive each type of learning materials using mobile technology. Through semantic differential scale(SDS), learners' perception of the difference between mobile learning materials and existing traditional learning materials was analyzed. As a result, learning materials using mobile technology were classified into as follows : the dimension of interaction with the content; the sense of presence. Learners perceived that mobile learning materials had characteristics of 'active', 'learner-centric', 'multi-sensory', and 'stimulating interest'. The significance of this study was to empirically and comprehensively investigate learners' perception for the characteristics of various mobile learning materials.

• Journal of KIISE:Software and Applications
• /
• v.30 no.9
• /
• pp.867-875
• /
• 2003

This paper concerns continuous density HMM topology optimization. There have been several researches for HMM topology optimization. BIC (Bayesian Information Criterion) is one of the well known optimization criteria, which assumes statistically well behaved homogeneous model parameters. HMMs, however, are composed of several different kind of parameters to accommodate complex topology, thus BIC's assumption does not hold true for HMMs. Even though BIC reduced the total number of parameters of HMMs, it could not improve the recognition rates. In this paper, we proposed two new model selection criteria, HBIC (HMM-oriented BIC) and BIC_Anti. The former is proposed to improve BIC by estimating model priors separately. The latter is to combine BIC and anti-likelihood to accelerate discrimination power of HMMs. We performed some comparative research on couple of model selection criteria for online handwriting data recognition. We got better recognition results with fewer number of parameters.

• Journal of the Korean Society for information Management
• /
• v.34 no.3
• /
• pp.209-228
• /
• 2017

This study suggests a new Hirsch-type composite index, 'transposed g-index' with a different viewpoint on h-index and g-index. From this new point of view, the axes of the graph describing the h-index and g-index are transposed so that the horizontal axis corresponds to the citation frequency threshold and the vertical axis corresponds to the number of documents. Based on this transposed graph, a new indicator transposed g-index is suggested and applied to library and information science researchers' outcomes in Korean Citation Index database. The results show that this new index has more discriminating power than h-index and g-index, and is more sensitive to differences in quantitative aspects than quality of research. It is expected that the transposed g-index will be helpful for the multifaceted evaluation of the research outcome because it has differentiating characteristics that distinguish consistent researchers who continue to study from those who do not.

• Journal of the Korean Society for information Management
• /
• v.30 no.4
• /
• pp.111-131
• /
• 2013

This study describes the meaning of and the formula for Kor-$h_T$, which is a modified index built on the tapered h-index by applying 'the ranking according to the number of citations of journals'. This study evaluated the de-duplication rate of index values of Kor-$h_T$ and analyzed the change in the correlation between the index values and evaluation elements using the Korea Citation Index data from 2008 to 2010. Kor-$h_T$ is compared with h-index, tapered h-index, and IF. As a result, Kor-$h_T$ appeared to be superior to other indexes on de-duplication rate. It is also shown that there is a very strong positive correlation between the evaluation elements, the number of citations and the number of articles of journals, and the index values of Kor-$h_T$.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.17 no.6
• /
• pp.41-49
• /
• 2017

Theoretical modelling and computational results for frequency coordination are presented over mobile base station and fixed wireless systems in urban or sub-urban area. Computational results with key parameters needed for interference analysis are performed and discussed in terms of system characteristics, propagation model, protection ratio, frequency dependent rejection, and discrimination angle with signal-interference plane. Based upon minimum coupling loss methodology, calculated interference powers of victim receiver for assumed system parameters are compared with maximum allowable interference power derived from protection ratio as functions of discrimination angle and distance including height-gain model in urban or sub-urban area. The proposed method is applicable for technical analysis on co-existence or interoperability for the various wireless systems, mandatory for frequency coordination or reallocation process.