• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2002년도 Language, Information, and Computation Proceedings of The 16th Pacific Asia Conference
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• pp.157-165
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• 2002

This paper describes our ongoing Korean-Chinese machine translation system, which is based on verb patterns. A verb pattern consists of a source language pattern part for analysis and a target language pattern part for generation. Knowledge description on lexical level makes it easy to achieve accurate analyses and natural, correct generation. These features are very important and effective in machine translation between languages with quite different linguistic structures including Korean and Chinese. We performed a preliminary evaluation of our current system and reported the result in the paper.

• 제어로봇시스템학회논문지
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• 제18권11호
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• pp.1059-1064
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• 2012

In this paper, some applications of natural language processing techniques for information retrieval have been introduced, but the results are known not to be satisfied. In order to find the roles of some classical natural language processing techniques in information retrieval and to find which one is better we compared the effects with the various natural language techniques for information retrieval precision, and the experiment results show that basic natural language processing techniques with small calculated consumption and simple implementation help a small for information retrieval. Senior high complexity of natural language processing techniques with high calculated consumption and low precision can not help the information retrieval precision even harmful to it, so the role of natural language understanding may be larger in the question answering system, automatic abstract and information extraction.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
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• pp.45-48
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• 2006

The system that can generate biological brain information processing mechanism more precisely may have several abilities such as exact cognition, situation decision, learning and inference, and output decision. In this paper, to implement high level information processing and thinking ability in a complex system, the information processing layer based on the biological brain is introduced. The biological brain information processing mechanism, which is analyzed in this paper, provides fundamental information about intelligent engineering system, and the design of the layer that can mimic the functions of a brain through engineering definitions can efficiently introduce an intelligent information processing method having a consistent flow in various engineering systems. The applications proposed in this paper are expected to take several roles as a unified model that generates information process in various areas, such as engineering and medical field, with a dream of implementing humanoid artificial intelligent system.

• 한국IT서비스학회지
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• 제19권5호
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• pp.65-81
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• 2020

This study aims to examine the effects of users' perceptions of COVID-19 risk on their seeking and processing of relevant information as COVID-19 emerges and spreads worldwide in 2019. We apply the risk information seeking and processing model (RISP Model) to verify whether users' COVID-19 related information seeking and processing behaviors have a positive effect on their preventive and information sharing behaviors. To achieve this research goal, an online survey was conducted with about 400 of social media users. The users' perceptions of risk for COVID-19 increased their perceived insufficiency of COVID-19 information. In addition, the perceived insufficiency of users' information formed a positive relationship with seeking and searching of information behaviors. The processing of COVID-19 related information has increased related preventive behaviors and sharing of information through social media. While searching for information related to COVID-19 prompted personal information sharing behaviors, it did not significantly affect preventive behaviors. Accordingly, in order to promote COVID-19 preventive behaviors as well as overall user health-related behaviors it can be inferred that additional measures are needed in addition to pursuing relevant information.

• Journal of information and communication convergence engineering
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• 제17권4호
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• pp.239-245
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• 2019

Recently, effort to obtain various information from the vast amount of social network services (SNS) big data generated in daily life has expanded. SNS big data comprise sentences classified as unstructured data, which complicates data processing. As the amount of processing increases, a rapid processing technique is required to extract valuable information from SNS big data. We herein propose a system that can extract human sentiment information from vast amounts of SNS unstructured big data using the naïve Bayes algorithm and natural language processing (NLP). Furthermore, we analyze the effectiveness of the proposed method through various experiments. Based on sentiment accuracy analysis, experimental results showed that the machine learning method using the naïve Bayes algorithm afforded a 63.5% accuracy, which was lower than that yielded by the NLP method. However, based on data processing speed analysis, the machine learning method by the naïve Bayes algorithm demonstrated a processing performance that was approximately 5.4 times higher than that by the NLP method.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2002년도 춘계학술발표논문집 (하)
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• pp.1199-1202
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• 2002

본 논문은 모바일 환경의 특성을 고려한 사용자 맞춤형 원스탑 정보 서비스 시스템에 대하여 기술한다. 모바일 환경은 그 이름대로 휴대성을 가장 큰 장점으로 한다. 그러나 아직까지 정보 입력 및 표현의 한계성은 극복되지 못하고 있다. 따라서 복잡하고 방대한 인터넷 서비스를 모바일 환경상에 구현하기 위하여는 사용자에 최적화된 서비스만이 구성되어 제공되어야 한다. 본 논문은 이러한 문제점들을 극복하기 위해 "사용자 맞춤형 원스탑 정보 서비스(One-Stop Service: OSS) 시스템" 을 제시한다. OSS 시스템은 사용자 맞춤형 정보 제공을 위해 개인화 기술을 이용한다. 여기서 OSS 란 다양한 서비스들의 집합으로 사용자 취향에 적합하게 동적으로 생성된 서비스의 묶음을 말하는 것이다. 본 논문에서 제안하는 시스템은 향후 모바일 환경 어플리케이션이 나아가야 할 방향을 제시하고 있다는데 그 의미가 있다.

• Nuclear Engineering and Technology
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• 제34권4호
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• pp.301-313
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• 2002

This paper proposes a quantitative approach to modeling the information processing of NPP operators. The aim of this work is to derive the amount of the information processed during a certain control task. The focus will be on i) developing a model for information processing of NPP operators and ii) quantifying the model. To resolve the problems of the previous approaches based on the information theory, i.e. the problems of single channel approaches, we primarily develop the information processing model having multiple stages, which contains information flows. Then the uncertainty of the information is quantified using the Conant’s model, 3 kind of information theory.

• 경영정보학연구
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• 제1권1호
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• pp.75-100
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• 1999

• 한국수학교육학회지시리즈A:수학교육
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• 제59권4호
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• pp.389-403
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• 2020

본 연구는 수학과 교과역량으로서의 정보처리 능력이 어떻게 해석, 적용되고 있는지 교과서 분석을 통해 탐구하였다. 중학교 1-3학년 10종 30권 교과서의 191개 과제를 정보처리 능력 하위요소에 따라 분석한 결과, 하위요소별, 교과서별로 차이가 컸으며 공통적으로 '공학적 도구 및 교구 활용'에 매우 치우쳐 있었다. 과제 유형별로도 해석과 적용 방법의 다양성이 발견되었다. 본 연구 결과를 바탕으로 정보처리 능력 함양을 위한 개선 방향과 시사점을 논의하였다.

• 정보교육학회논문지
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• 제26권6호
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• pp.579-585
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• 2022

본 논문은 윷놀이를 활용한 SW융합교육이 초등학생의 지식정보처리역량에 미치는 효과를 분석하고자 하였다. 전라남도 도서지역 초등학생을 대상으로 연구를 실시하였다. 윷놀이를 활용한 SW융합교육 수업을 개발하여 실험집단에 적용하여 보았다. 지식정보처리역량 사전검사를 실시하고 윷놀이를 활용한 SW융합교육을 진행한 후 지식정보처리역량 사후검사를 실시하였다. 지식정보처리역량 검사도구로는 초등학교 고학년 지식정보처리역량측정도구를 사용하여 분석하였다. 분석한 결과에 따르면 윷놀이를 활용한 SW융합교육이 초등학생이 학습상황 속에서 문제를 해결하기 위하여 지식정보와 자료를 수집하고 분석하여 평가, 선택한 지식과 정보를 활용하여 효율적으로 문제를 해결할 수 있는 능력인 지식정보처리역량 향상에 효과적인 것으로 나타났다.