• 한국디지털정책학회:학술대회논문집
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• 2006.06a
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• pp.363-375
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• 2006

본 연구에서는 청소년들을 대상으로 정의적 특성으로 분류해 온 도덕성의 성격과 발달 수준을 찾아 이를 기초하여 학생들의 자기 이해를 돕고 정의적 성숙을 가져올 수 있게 하는 자기 평가식 도덕성검사를 Kohlberg의 도덕성 발달 수준을 기반으로 한 온라인 도덕성 검사 시스템을 설계 및 구현하는 방법을 연구하였다. 구현된 시스템을 이용하여 학생들 스스로 자신의 도덕성을 진단하고 평가하여 자기중심성으로 부터 벗어나 협동과 상호존중의 관계를 지향할 수 있는 학생이 되도록 하는 것이 이 연구의 주요한 목적이다. 본 연구에서 설계하고 구현한 도덕성검사 시스템이 성공적으로 적용된다면 검사와 검사의 결과에 대한 진로안내가 한 시스템 내에서 이루어지기 때문에 학생들의 진로지도에 대한 효율적인 성과를 가져올 수 있을 것이며, 또한 쉽고 빠른 검사로 인해 지필검사를 통해 실시하는 것보다 훨씬 경제적인 효과를 올릴 수 있을 것이다.

• Annual Conference on Human and Language Technology
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• 2002.10e
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• pp.98-102
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• 2002

초등학교 교과서에 사용된 어휘의 수준을 보기 위해 교과서에 쓰인 어휘의 사용 빈도를 포함하여 결정에 영향력을 미칠 요소를 파악하고 요소간의 관계를 설립하여 교육용 어휘 설정의 나아갈 방향을 제시하는데 목적이 있다. 7차 교육과정에 있는 초등학교 교과서에서 국어 어휘 교육 관련 항목을 살펴 이들의 단계별 학습 수준의 고려가 이루어져 있는지를 검토하고자 한다. 수준별 교육 과정에서 밝히고 있는 어휘 의미 교육의 위계가 세부적이고 치밀한 수준의 적정성을 바탕으로 하여 구성되어 있는지를 검토하고 초등학교 교육용 어휘 선정의 문제 분석을 통해 기본 어휘와 기초 어휘 분류의 적정 기준과 학습 활동에 있어 언어 사용 능력으로서의 어휘력과 언어 체계 속의 어휘력을 구분할 필요가 있음을 설명하고자 한다.

• Journal of the Korean Society for information Management
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• v.33 no.2
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• pp.33-59
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• 2016

This study examined the factors affecting the performance of automatic classification for the domestic conference papers based on machine learning techniques. In particular, In view of the classification performance that assigning automatically the class labels to the papers in Proceedings of the Conference of Korean Society for Information Management using Rocchio algorithm, I investigated the characteristics of the key factors (classifier formation methods, training set size, weighting schemes, label assigning methods) through the diversified experiments. Consequently, It is more effective that apply proper parameters (${\beta}$, ${\lambda}$) and training set size (more than 5 years) according to the classification environments and properties of the document set. and If the performance is equivalent, I discovered that the use of the more simple methods (single weighting schemes) is very efficient. Also, because the classification of domestic papers is corresponding with multi-label classification which assigning more than one label to an article, it is necessary to develop the optimum classification model based on the characteristics of the key factors in consideration of this environment.

• The Korean Journal of Applied Statistics
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• v.28 no.1
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• pp.9-21
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• 2015

The support vector machine has been successfully applied to various classification areas due to its flexibility and a high level of classification accuracy. However, when analyzing imbalanced data with uneven class sizes, the classification accuracy of SVM may drop significantly in predicting minority class because the SVM classifiers are undesirably biased toward the majority class. The weighted $L_2$-norm SVM was developed for the analysis of imbalanced data; however, it cannot identify irrelevant input variables due to the characteristics of the ridge penalty. Therefore, we propose the weighted $L_1$-norm SVM, which uses lasso penalty to select important input variables and weights to differentiate the misclassification of data points between classes. We demonstrate the satisfactory performance of the proposed method through simulation studies and a real data analysis.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.10
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• pp.569-578
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• 2003

Data dependencies are one of major hurdles to limit ILP(Instruction Level Parallelism), so several related works have suggested that the limit imposed by data dependencies can be overcome to some extent with use of the data value prediction. Hybrid value predictor can obtain the high prediction accuracy using advantages of various predictors, but it has a defect that same instruction has overlapping entries in all predictor. In this paper, we propose a new hybrid value predictor which achieves high performance by using the information of static and dynamic classification. The proposed predictor can enhance the prediction accuracy and efficiently decrease the prediction table size of predictor, because it allocates each instruction into single best-suited predictor during the fetch stage by using the information of static classification. Also, it can enhance the prediction accuracy because it selects a best- suited prediction method for the “Unknown”pattern instructions by using the dynamic classification mechanism. Simulation results based on the SimpleScalar/PISA tool set and the SPECint95 benchmarks show the average correct prediction rate of 85.1% by using the static classification mechanism. Also, we achieve the average correction prediction rate of 87.6% by using static and dynamic classification mechanism.

• Korean Journal of Plant Taxonomy
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• v.49 no.1
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• pp.28-69
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• 2019

We conducted taxonomical investigations based on morphological characteristics, fruit morphology, and literature research on the tribe Potentilleae (Rosaceae) in Korea covering seven genera and 24 species. The style position on the ovary and the shape of style were useful characteristics for the classification of subtribal and generic levels in the tribe Potentilleae. The subtribe Fragariinae is characterized by subbasal or lateral style on the ovary and anthers with one theca. The subtribe Potentillinae has a subterminal style on the ovary, except for Argentina, which presents a subterminal and lateral style and anthers with two thecae. These results support the recent taxonomic recognition that i) the tribe Potentilleae consists of two subtribes, and ii) genera such as Dasiphora, Comarum, and Sibbaldianthe sometimes included in Potentilla s.l. are treated as independent genus. In the subtribe Potentillinae, Argentina, which has been treated as Potentilla, is supported as a distinct genus according to the characteristics of the subterminal and lateral style position and the ventral stipular auricles. In Fragaria, F. nipponica subsp. chejuensis, which has generally small leaves and a limited distribution only on Hallasan Mt., is supported by treatment as an endemic species. Duchesnea chrysantha is distinguished from D. indica by the characteristics of light green or yellowish green leaves, thin and somewhat membranous leaflets, and broad ovate or obovate leaflets. Each complex of P. dickinsii and P. chinensis remains unresolved with regard to controversy over the taxonomic circumscription due to their external morphological variations. Additional taxonomical research and molecular population studies are required for a more in-depth understanding of the tribe Potentilleae in Korea.

• The Journal of Korean society of community based occupational therapy
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• v.9 no.2
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• pp.1-12
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• 2019

Objective : The purpose of this study is to measure the level of activity possessed by the daily activities of the elderly. In addition, we attempted to compare the differences in the categories of daily activities. Methods : We used K-ACS to evaluate 30 older people who engaged in economic activity living in community, 30 older people who did not have economic activity living in community, and 30 older people living in facility. We compared the level of activity retention. Results : There was a significant difference of level of activity retention according to the daily activity category of the subjects(p <.001). There was a difference in the instrumental activities according to the category of each activity, while the three groups showed similar patterns in leisure activities and social activities. In particular, all three groups were most likely to rest and watch television in the leisure activities, so the leisure activities of the elderly in Korea were very limited. Among the general characteristics, it was analyzed that there was a correlation between the activity, the marital status, the religion and the cognitive level. Conclusion : According to the daily activities category of the elderly, there was a difference in level of activity retention and the characteristics of daily activities correlated with the activities of the elderly. This suggests that it may be a basic data for establishing a client - centered intervention plan by considering the characteristics affecting daily living and level of activity retention of the elderly in the occupational therapy.

• 한국해양학회지
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• v.23 no.4
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• pp.184-193
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• 1989

To study the pelagic fish egg community in the mid-east coastal waters of the Yellow Sea, pelagic eggs were sampled with Bongo net at 13 stations from Chonsu Bay to Keum Estuary from July, 1985 to June, 1986. Nineteen taxa of pelagic eggs were collected. Among them, 7 taxa were identified to the species level, and 2 taxa to the family level. Engraulis japonica was the most abundant species with 89.5% of the total eggs; Sillago japonica was 2.5%; Clupanodon punctatus, 2.4%; Herklotsichthys zunasi, 1.7%; Callionymidae spp., 1.6%. These 5 taxa occupied 97.7% of the total eggs. Pelagic eggs occurred from April to October. In June and July, their abundances were high, but the species diversities were low as E. japonica eggs were predominant. The range of spawning temperature for each taxa were estimated from the occurence pattern of the pelagic eggs.

• Journal of Information Management
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• v.41 no.3
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• pp.27-44
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• 2010

Most research about patent data analyzes the trend of technologies using a Patent Map(PM), and suggests the frequencies and trend of patents in a certain topic using tables or graphs in Excel. However, more advanced analysis tools are recently needed to compare the trends among national and international industries. This research discussed why statistical analysis is needed to improve the reliability in PM analysis, and the research compares the trends of patents in Korea between 1990 and 2004 by years, International Patent Classification(IPC) sections, and countries using the frequencies and Poisson regression model. The statistical analysis is also suggested and applied to R&D studies.

• Journal of the Korean Society for information Management
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• v.4 no.2
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• pp.47-61
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• 1987

Main advantages of an analytico-synthetic scheme are its flexibility and its ability to cope with new subjects as they arise. Accordingly the synthetic scheme can keep pace with changes in knowledge more easily than an enumerative scheme because new subjects often merely involve fresh combinations of basic unit parts already listed. The findings of the study are as follows: 1. Each part of the components of a complex subject is called phase in CC and we are able to obtain three levels of phase relations such as intra-facet phase relation, intra-array - phase relation and inter-subject phase relation. 2. Different digits are used in CC to represent different varieties of phase relation in each levels. 3. The mode of phase relation may be taken to indicate the strength of bond between the phase and may form a new main subject. 4. In the rules and grammar of the phase relation the extension of two-phase subject is possible up to any extent theoritically. 5. Phase relation in DDC was introduced in the 18th edition, but there was no provision for the kind and the level of phase relation. 6. Colon(:) of the UDC is used to represent phase relation but there was also no provision for the kind and the level of phase relation.