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박종선,문규종,Park, Chong-Sun,Moon, Guy-Jong 한국통계학회 2008 Communications for statistical applications and me Vol.15 No.4
본 논문에서는 반응변수가 하나 이상이고 설명변수들의 수가 관측치에 비하여 상대적으로 많은 경우에 널리 사용되는 부분최소제곱회귀모형에 벌점함수를 적용하여 모형에 필요한 설명변수들을 선택하는 문제를 고려하였다. 모형에 필요한 설명변수들은 각각의 잠재변수들에 대한 최적해 문제에 벌점함수를 추가한 후 모의담금질을 이용하여 선택하였다. 실제 자료에 대한 적용 결과 모형의 설명력 및 예측력을 크게 떨어뜨리지 않으면서 필요없는 변수들을 효과적으로 제거하는 것으로 나타나 부분최소제곱회귀모형에서 최적인 설명변수들의 부분집합을 선택하는데 적용될 수 있을 것이다. Variable selection algorithm for partial least square regression using penalty function is proposed. We use the fact that usual partial least square regression problem can be expressed as a maximization problem with appropriate constraints and we will add penalty function to this maximization problem. Then simulated annealing algorithm can be used in searching for optimal solutions of above maximization problem with penalty functions added. The HARD penalty function would be suggested as the best in several aspects. Illustrations with real and simulated examples are provided.
박종선,허균,Park, Chong-Sun,Huh, Kyun 한국통계학회 2010 Communications for statistical applications and me Vol.17 No.1
분류분석에 사용되는 k-최근접이웃 분류기에 유전알고리즘을 적용하여 의미 있는 변수들과 이들에 대한 가중치 그리고 적절한 k를 동시에 선택하는 알고리즘을 제시하였다. 다양한 실제 자료에 대하여 기존의 여러 방법들과 교차타당성 방법을 통하여 비교한 결과 효과적인 것으로 나타났다. Feature selection and feature weighting are useful techniques for improving the classification accuracy of k-Nearest Neighbor (k-NN) classifier. The main propose of feature selection and feature weighting is to reduce the number of features, by eliminating irrelevant and redundant features, while simultaneously maintaining or enhancing classification accuracy. In this paper, a novel hybrid approach is proposed for simultaneous feature selection, feature weighting and choice of k in k-NN classifier based on Genetic Algorithm. The results have indicated that the proposed algorithm is quite comparable with and superior to existing classifiers with or without feature selection and feature weighting capability.
박종선 이러닝학회 2015 이러닝학회 학술발표대회논문집 Vol.6 No.2
본 논문에서는 2011년부터 현재 진행되고 있는 ACU프로젝트 중에서 CLMV 회원대학의 이러닝 콘텐츠 개발과 수업 운영과정에 대한 사례를 살펴보았다. ACU프로젝트에 참여하는 CLMV 회원대학에서 자체적으로 개발한 이러닝 콘텐츠는 현재 40개 과목이며 자체 학점과정으로 운영되는 이러닝 기반의 블랜디드 수업은 84개 과목에 이르고 있다. 본 논문에서는 ACU프로젝트에서 CLMV 회원대학이 체계적으로 이러닝 콘텐츠를 개발하도록 지원하기 위한 2단계 방안과 이러닝 수업운영을 지원하는 방안을 사례를 중심으로 살펴보았다.
Statistical study on nightside geosynchronous magnetic field responses to interplanetary shocks
박종선,김관혁,이동훈,이은상,진호,Park, Jong-Sun,Kim, Khan-Hyuk,Araki, Tohru,Lee, Dong-Hun,Lee, Ensang,Jin, Ho 한국천문학회 2012 天文學會報 Vol.37 No.2
When an interplanetary (IP) shock passes over the Earth's magnetosphere, the geosynchronous magnetic field strength near the noon is always enhanced, while the geosynchronous magnetic field near the midnight decreases or increases. In order to understand what determines the positive or negative magnetic field response at nightside geosynchronous orbit to sudden increases in the solar wind dynamic pressure, we have examined 120 IP shock-associated sudden commencements (SC) using magnetic field data from the GOES spacecraft near the midnight (MLT = 2200~0200) and found the following magnetic field perturbation characteristics. (1) There is a strong seasonal dependence of geosynchronous magnetic field perturbations during the passage of IP shocks. That is, the SC-associated geosynchronous magnetic field near the midnight increases (a positive response) in summer and decreases (a negative response) in winter. (2) These field perturbations are dominated by the radial magnetic field component rather than the north-south magnetic field component at nightside geosynchronous orbit. (3) The magnetic elevation angles corresponding to positive and negative responses decrease and increase, respectively. These field perturbation properties can be explained by the location of the cross-tail current enhancement during SC interval with respect to geosynchronous spacecraft position.
A Comparative Genome-Wide Analysis of GATA Transcription Factors in Fungi
박종선,김효정,김순옥,공성형,박재진,김서연,한혜영,박봉수,정경용,이용환 한국유전체학회 2006 Genomics & informatics Vol.4 No.4
GATA transcription factors are widespread eukaryotic regulators whose DNA-binding domain is a class IV zinc finger motif in the form CX2CX1720CX2C folowed by a basic region. In fungi, they act as transcriptional activators or repressors in several diferent processes, ranging from nitrogen source utilization to mating-type switching. Using an in-house bioinformatics portal system, we surveyed 50 fungal and 9 out-group genomes and identified 396 putative fungal GATA transcription factors. The proportion of GATA transcription factors within a genome varied among taxonomic lineages. Subsequent analyses of phylogenetic relationships among the fungal GATA transcription factors, as well as a study of their domain architecture and gene structure, demonstrated high degrees of conservation in type IVa and type IVb zinc finger motifs and the existence of distinctive clusters at least at the level of subphylum. The SFH1 subgroup with a 20-residue loop was newly identified, in addition to six wel-defined subgroups in the subphylum Pezizomycotina. Furthermore, a novel GATA motif with a 21-residue loop (CX2CX21CX2C, designated zinc finger type IVc) was discovered within the phylum Basidiomycota. Our results suggest that fungal GATA factors might have undergone multiple distinct modes of evolution resulting in diversified cellular modulation in fungi.