• Journal of the Korean School Mathematics Society
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• v.8 no.1
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• pp.89-100
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• 2005

This study is to compare contents of mathematics textbooks of Korea and Russia laying stress on topic 'congruence of triangles'. We analyze and compare contents description system, relation between congruent conditions of triangles and construction problem, and jestification methods of congruent conditions of triangles in Korean and Russian mathematics textbooks.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.4
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• pp.605-610
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• 2009

In the last 20 years, meat quality, especially meat edible quality has become a more intriguing topic in the field of swine production. In this paper, we briefly review the progress of meat quality research from the aspects of genetic selection and nutritional modulation, and propose a possible approach -nutrigenomics- to explore the nutrition-responsive major genes that affect meat quality formation during the growing and fattening of pigs.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.148-151
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• 2006

웹 문서의 수가 기하급수적으로 늘어나는 현 시점에서 문서의 효율적인 관리을 위한 문서 클러스터링 방법은 현재 가장 요구되는 기술이다. 지금까지 문서 클러스터링의 방법 연구에서는 TF-Idf 측정값을 이용한 문서분류, Title 기반의 문서분류등과 같은 다양한 시도가 있었다. 이러한 문서 클러스터링 방법에서는 문서의 내용에 치중하거나 문서 분류를 위한 정확한 기준이 없어, 효율적인 문서의 클러스터링과 검색을 지원하지 못하였다. 그리하여, 본 연구에서는 새롭게 토픽 선정 알고리즘을 제안하고, 토픽 선정 알고리즘에 의해 결정된 토픽에 기반하여 문서 검색을 수행함으로써, 문서검색의 성능을 높일 수 있었다.

• International Journal of Contents
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• v.15 no.4
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• pp.107-112
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• 2019

With the development of AI (artificial intelligence), animation digital publishing has been integrated with intellectualization. This paper adopts the theory of the global value chain, and analyzes the basic structure of the animation publishing value chain. Then focuses on the analysis of digital technology and artificial intelligence technology to play an active role in the topic selection and content customization of animation digital publishing products, optimization of publishing platforms, and user experience of publishing products. Finally, it proposes the use of artificial intelligence data analysis and deep learning technology. The purpose of this paper is to realize the upgrading of animation digital publishing, product upgrading, industrial chain upgrading, and identify some promotion methods for the value chain, such as copyright protection.

• Research in Mathematical Education
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• v.2 no.2
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• pp.79-88
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• 1998

To investigate the relationship between the College Entrance Examination (CEE) exams and high school teaching-learning, we conducted a questionnaire survey and collected 2439 valid questionnaires with 16000 teachers involved. This paper discusses the topic with data gathered from the survey, and statistics on CEE examinations over the past few years. The following three questions will be addressed in detail: 1. As a talent selection test for colleges, can the CEE exams single out the elite students in high school? 2. Should the testing objectives of the CEE exams match the teaching objectives in high school so as to have a positive backwash effect on high school teaching and learning? 3. How do teachers assess the CEE exams from the angles of test structure, the functions of individual item types, reforms on test difficulties, and its actual checking effects?

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.230-231
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• 2018

Recently, the danger for radioactive materials has become a hot topic. Beginning with the Chernobyl nuclear accident in 1996, in 2011, the Fukushima nuclear power plant in Japan suffered major damage such as large-scale casualties and radioactive dangerous area selection. Concerns about leakage of radioactive materials due to recent earthquakes have been deepening in Korea, such as Wolsong Nuclear Power Plant in Gyeongju, and there is a growing interest in the safety of radioactive materials through the media and the media. However, the route to exposure to radioactive materials is not limited to these large-scale nuclear accidents. Typical examples of this are radioactive substances exposed in daily life. In the case of radon gas, the danger is being revealed through current events programs and news, and natural radiation exposure is attracting attention.

• International Journal of Contents
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• v.5 no.1
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• pp.1-8
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• 2009

The new paradigm called the web 2.0 recently appeared in the web environment. We pay attention to the positive effects which may be brought about by application of the web 2.0 to e-learning; we think that it can improve problem solving skills of learners and reinforce their creativity. But until now, e-learning model, which understood the web 2.0 concept completely, has been never developed. In this context, we propose the web 2.0-based e-learning platform which induces all the courses for education such as the selection of topic, preparation of lecture schedule and contents, teaching and learning, to be decided by participants. We believe that this platform can replace or supplement the e-learning of web 1.0 age, and realize the positive effects.

• Journal of the Korea Safety Management & Science
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• v.9 no.1
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• pp.1-8
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• 2007

To improve the practical application of the thermal expansion of closed long pipeline exposing to external heating sources such as solar energy, safety engineering and system optimization for relief valve in the closed piping system are suggested through theoretical approach, correlation in view of temperature and pressure increase caused by external solar energy in the closed piping system. The profile for thermal relief valve including relieving capacity, influx heat energy, sizing criteria, set pressure, selection against back pressure is also presented. It is noted that following topic on solar relief valve should be applied to engineering, installation and commissioning.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.179-188
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• 2004

Bankruptcy prediction is an important and widely studied topic since it can have significant impact on bank lending decisions and profitability. Recently, support vector machine (SVM) has been applied to the problem of bankruptcy prediction. The SVM-based method has been compared with other methods such as neural network, logistic regression and has shown good results. Genetic algorithm (GA) has been increasingly applied in conjunction with other AI techniques such as neural network, CBR. However, few studies have dealt with integration of GA and SVM, though there is a great potential for useful applications in this area. This study proposes the methods for improving SVM performance in two aspects: feature subset selection and parameter optimization. GA is used to optimize both feature subset and parameters of SVM simultaneously for bankruptcy prediction.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.669-672
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• 2004

정보의 양이 많아지면서 정보 검색 시스템에 검색 결과를 자동으로 구조화하는 계층적 클러스터링을 적용하는 시도가 늘고 있다. 계층적 클러스터링은 문서 간의 유사도를 통해 클러스터를 계층 구조로 만들어 검색 성능을 높이고 결과를 사용자에게 이해하기 쉽게 보여준다. 계층 구조는 검색 결과를 요약하는 것이기 때문에 클러스터의 내용을 효과적으로 함축할 수 있는 대표어의 선정이 중요하다. 각 클러스터의 대표어를 선정하기 위해 대표어에 명사인 단어만 추출하고 상위 클러스터 대표어에 사용된 단어는 하위 클러스터에 사용하지 않는 방법을 적용하여 대표어의 질을 높였다.