• Journal of applied mathematics & informatics
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• v.10 no.1_2
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• pp.167-174
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• 2002

A group G is said to be (l, n, n)-generated if it is a quotient group of the triangle group T(p,q,r)=(x,y,z|x$\^$p/=y$\^$q/=z$\^$r/=xyz=1). In [15], the question of finding all triples (l, m, n) such that non-abelian finite simple groups are (l , m, n)-generated was posed. In this paper we partially answer this question for the sporadic group He. We continue the study of (p, q, r) -generations of the sporadic simple groups, where p, q, r are distinct primes. The problem is resolved for the Held group He.

• Journal of applied mathematics & informatics
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• v.12 no.1_2
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• pp.143-154
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• 2003

A finite group G is called (l, m, n)-generated, if it is a quotient group of the triangle group T(l, m, n) = 〈$\chi$, y, z│$\chi$$\^$l/ = y$\^$m/ = z$^n$ = $\chi$yz = 1〉. In [19], the question of finding all triples (l, m, n) such that non-abelian finite simple group are (l, m, n)-generated was posed. In this paper we partially answer this question for the sporadic group Ru. In fact, we prove that if p, q and r are prime divisors of │Ru│, where p < q < r and$.$(p, q) $\neq$ (2, 3), then Ru is (p, q, r)-generated.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.49-54
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• 2008

질의응답시스템에서 사용자 질의로 입력된 자연어문장을 완벽하게 분석하는 것은 쉬운 일이 아니며, 사용자의 질의 의도의 불명확성으로 키워드 여러 개의 질의문이 존재할 수 있다. 본 논문에서는 질의를 하기 전에 사용자가 안게 되는 자연어 질의문의 작성 부담감을 줄이고, 키워드만으로 자신이 원하는 질의문을 선택할 수 있는 시스템을 제안하고자 한다. 제안 시스템은 평서문에서 자동으로 질의문을 생성한다. 질의문 생성은 장문형질의문생성과 단문형질의문생성으로 구분하며, 장문형질의문은 문장의 전체형태를 유지하면서 특정고유명사를 질의하는 것이고, 단문형질의문은 주어진 고유명사를 질의하는 최소한의 요소를 갖춘 단순 형태의 질의 문장이다. 또한 제안 시스템은 생성된 질의문이 유한 해답을 도출할 수 있는 의미있는 질의문을 선별하는 과정을 포함한다. 본 논문에서 제안한 방식이 사용자에게 의미있는 질의문을 제시하여주고 사용자가 원하는 질의문을 선택하게 함으로써 검색의 시간단축과 자연어문장 질의어 자체에 대한 고민을 해소시킬 수 있다. 또한 이는 자연어 문장처리의 한계를 극복할 수 있는 시스템을 구현할 수 있는 기반을 마련한 것이다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.359-362
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• 2020

본 연구에서는 설명 문장 생성을 통한 해석 가능한 시각적 질의응답 모델을 설계하고 학습 방법을 제시한다. 설명 문장은 시각적 질의응답 모델이 응답을 예측하는 데에 필요한 이미지 및 질문 정보와 적절한 논리적인 정보의 조합 및 정답 추론 과정이 함의되어 있을 것으로 기대한다. 설명 문장 생성 과정이 포함된 시각적 질의응답의 기본적인 모델을 기반으로 여러 가지 학습방법을 통해 설명 문장 생성 과정과 응답 예측 과정간의 상호관계를 분석한다. 이러한 상호작용을 적극적으로 활용할 수 있는 보다 개선 시각적 질의응답 모델을 제안한다. 또한 학습한 결과를 바탕으로 설명 문장의 특성을 활용하여 시각적 질의응답 추론 과정을 개선함으로써 시각적 질의응답 모델의 발전 방향을 논의한다. 본 실험을 통해서 응답 예측에 적절한 설명 문장을 제시하는 해석 가능한 시각적 질의응답 모델을 제공한다.

• Journal of Technology Innovation
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• v.13 no.1
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• pp.169-191
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• 2005

By analyzing a national survey of public understanding of science and technology, this paper attempts to examine public perceptions of scientists and engineers in Korea. A special attention is given to the gap in the view of scientists and engineers across generation, gender, and class fields (or major fields). This paper shows that generation has the strongest effect on public perceptions of scientists and engineers among all the socio-demographic factors examined in this study. Those over 50 are more likely to have the conventional idealized images of scientists and the stereotypical negative images of scientists simultaneously, while the 20s are less likely to accept the idealized image of scientists. The survey result thus may suggest that the younger generation began to depart from a patriotic and moral description of scientists and engineers-for the younger generation, science and engineering is losing moral respect but becomes perceived as an ordinary occupation. Contrary to the popular belief, however, gender has little effect on public perceptions of scientists and engineers. This finding questions the assertion that female students possess more negative attitudes toward scientists and engineers than male students, and thus are reluctant to develop careers related to science and engineering. By uncovering that class fields (or major areas) have no effect on the image of scientists, this study also call into question the assertion in the science wars that the inadequate appreciation of science particularly among those who do not major in science and engineering is responsible for inadequate support for science and technology.

• Journal of the Korean Institute of Rural Architecture
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• v.5 no.3
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• pp.22-33
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• 2003

I recognized necessity of the space planning to three-generation dwelling because of preservation of wholesome society sense of values of the younger generation indicated often to the point at issue by the change to nuclear family of present and by way to hand down thought of respect for the aged which is our traditional public morals. I wish to present basic data for storage space planning that resident's request and consciousness are reflected in such background. I investigated records in general concept, which is utilization pattern of storage space to achieve the function of these culture intermediation. The object of research is three-generation dwelling, such as 3L-K and 3L-DK as national residences that appear most generally in chongju city. The method of research was question investigation method to write utilization actual conditions and requirement of storage space directly. So I proposed suitable planning to resident's life style analyzing frequency, percentage and average distribution. When supply apartment house hereafter, it should be reflected wide selection by resident's characteristic and needed systematic storage space planning in consideration of user mainly. Also continuous and diversified researches that can improve quality of residence are required.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.105-116
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• 2021

Habruta is a question-based learning that talks, discusses, and argues in pairs. In particular, the famous painting Habruta is being implemented for the purpose of enhancing the appreciation ability of paintings and enriching the expressive power through questions and answers about the famous paintings. In this study, in order to support the famous painting Habruta for oriental paintings, we propose a method of automatically generating questions from the gender perspective of oriental painting characters using the current deep learning technology. Specifically, in this study, based on the pre-trained model, VGG16, we propose a model that can effectively analyze the features of Asian paintings by performing fine-tuning. In addition, we classify the types of questions into three types: fact, imagination, and applied questions used in the famous Habruta, and subdivide each question according to the character to derive a total of 9 question patterns. In order to verify the feasibilityof the proposed methodology, we conducted an experiment that analyzed 300 characters of actual oriental paintings. As a result of the experiment, we confirmed that the gender classification model according to our methodology shows higher accuracy than the existing model.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.5
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• pp.31-39
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• 2023

The evolution of Natural Language Processing (NLP) and the rise of large language models (LLM) like ChatGPT have paved the way for specialized question-answering (QA) systems tailored to specific domains. This study outlines a system harnessing the power of LLM in conjunction with document search algorithms to interpret and address user inquiries using documents from the Korea Atomic Energy Research Institute (KAERI). Initially, the system refines multiple documents for optimized search and analysis, breaking the content into managable paragraphs suitable for the language model's processing. Each paragraph's content is converted into a vector via an embedding model and archived in a database. Upon receiving a user query, the system matches the extracted vectors from the question with the stored vectors, pinpointing the most pertinent content. The chosen paragraphs, combined with the user's query, are then processed by the language generation model to formulate a response. Tests encompassing a spectrum of questions verified the system's proficiency in discerning question intent, understanding diverse documents, and delivering rapid and precise answers.

• Proceedings of the KWS Conference
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• 2002.10a
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• pp.15-22
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• 2002

The modern welding technology hue more then 100 years history, and during that period, the welding has been playing an important role in the development of the manufacturing processes/systems as a key technology. In the time we enter the 21st century, it is question how to develop the innovative and attractive welding technology, in particular by the younger generation. The present report discussed the future trend of welding engineering mainly in Japan after reviewing the previous growth of welding engineering.

• Proceedings of the KIEE Conference
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• 2003.07b
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• pp.1389-1391
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• 2003

The development of wind turbine power generation has grown during the past ten years. An important question, when installing wind turbines with the generator connected directly to the grid, is holt much the voltage quality will be affected by the uneven power production and by the connection of the wind turbine to the grid. This paper presents the voltage fluctuation of grid-connected WTG(wind turbine generators) by MATLAB/Simulink.