• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.111-115
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• 2006

가상환경 탐색 항해 기법을 설계했다 3차원 가상환경은 입체적 시각 정보를 통해서 사용자가 가상환경을 현실로 받아들이고 마치 현장에 위치해 있는 것과 같은 감각을 느끼게 한다. 이러한 감각에 의지해서 사용자는 진지하고도 적극적으로 가상환경에 참여할 수 있다. 3차원 가상환경이 지닌 이러한 장점은 오락프로그램의 흥미 증진, 교육 및 군사훈련의 효과 향상, 의료분야의 신기술개발 등 다양한 분야에서 활용되고 있다. 그러나 3차원 가상환경은 현실 세계에 비해 빈약한 공간 인지 정보로 인해 자신의 위치를 인지하기 못하거나 원하는 목표물을 찾는데 어려움이 있다. 따라서 본 연구 에서는 가상환경을 구성하는 물리적인 정보와 가상환경의 외부 정보를 토픽맵(Topic Map)에서 제시 하는 기법을 사용하여 공간 인지 지식을 모델링 하였고, 현실세계에서 인간의 두뇌에서 이루어 지는 과정과 유사하게 3차원 가상환경 내에서도 길찾기기 가능하도록 인지맵(cognitive map)기법을 적용하여 처음 가상환경에 방문한 사용자라도 쉽게 목표물에 접근할 수 있는 개인화된 투어가이드 기법을 개발 하였다.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.521-526
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• 2017

Data format of Big data is diverse and vast, and its generation speed is very fast, requiring new management and analysis methods, not traditional data processing methods. Textual mining techniques can be used to extract useful information from unstructured text written in human language in online documents on social networks. Identifying trends in the message of politics, economy, and culture left behind in social media is a factor in understanding what topics they are interested in. In this study, text mining was performed on online news related to a given keyword using topic - oriented analysis technique. We use Latent Dirichiet Allocation (LDA) to extract information from web documents and analyze which subjects are interested in a given keyword, and which topics are related to which core values are related.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.2
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• pp.291-316
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• 2007

The purpose of this study is to design metadata model for describing different kinds of concepts, properties, and semantic relationships of result materials of researches. We examine our metadata model to evaluate correctness and efficiency of the model through contents analysis of a constructed database. From the results of examination, we suggest more effective structure of metadata schema. Domain ontology could constructed by the enlarged thesaurus in order to overcome the limitation of the keyword search, therefore we design a philosophy and religion ontology based on subject classification to improve information retrieval and implement it using XML/Topic Maps to improve retrieval functionality of our database.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.191-194
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• 2011

문서를 이루는 단어들의 빈도수가 지수법칙(power law)를 따른다는 지프의 법칩(Zipf's law)이 있다. 이러한 단어분포를 고려하여 문서의 토픽을 찾아내는 기계학습법이 디리쉴레 프로세스(Dirichlet process) 이다. 이를 발전시켜서 데이터의 잠재 요인(latent factor)들을 베이즈 확률모델에 기반한 샘플링 바탕으로 찾는 방법이 인디언 뷔페 과정(Indian buffet process) 이다. 우리는 25가지의 특징(feature)들에 대한 점수(rating)들이 볼드(blood oxygen dependent level) 신호와 함께 주어지는 PBAIC 2007 데이터에 주성분 분석법(principal component analysis)를 적용했다. PBAIC 2007 데이터는 비디오 게임을 수행하며 기능적뇌영상(functional magnetic resonance imaging, fMRI) 촬영을 하여 얻어진 공개데이터이다. 우리의 연구에서는 주성분 분석법을 이용하여 10개의 독립 성분(independent component)들을 찾았다. 그리고 1.75초 마다 촬영된 BOLD 신호와 10개의 고유벡터(eigenvector)들간의 내적을 취하여 가중치(weight)를 구하였다. 성분들의 가중치를 낮은 순서로 정렬함으로써 각 시간마다 주도적으로 영향을 미치는 성분들을 알아낼 수 있었다.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.477-485
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• 2010

Web based learning systems are operating with various and lots of learning contents. But it is hard to construct learning contents to fit learners when they select learning contents for learning. In this paper, we proposed the recommendation method that can support the learning contents as calculate learner's preference using the learning history information of learner's profile when learner design and compose learning course. In the applying result of this method, we've selected testing learner group and was able to know it can help to learner processing learning by themselves as we've got great learning satisfaction after test.

• Journal of the Korea Institute of Military Science and Technology
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• v.2 no.2
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• pp.197-208
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• 1999

Recently, risk management is a very important issue in many industrial applications. This paper describes a general structure for risk management and suggests a new risk assessment methodology. In risk management applications of financial or insurance industries, there are many methodologies developed for practical use. However, areas for improvement exist to facilitate the application of the methods. Two major risk assessment methodologies have been developed and widely applied in system engineering. One is in its original development application from aerospace and defense industry, and the other was developed in applied software engineering. In a large and complicated system development application, an effective risk management can reduce total development cost as well as uncertainty in achieving project goals of schedule and performance.

• Journal of Korean language education
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• v.23 no.1
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• pp.123-159
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• 2012

This study investigates relationships between TOPIK ratings and measures of grammaticality judgement competence in the acquisition of Korean as a second language. Data were collected on the linguistic abilities of learners' at 3 to 6 on the TOPIK scale, focusing on perception in grammar-mostly morphology and syntax, some lexis, and a few of collocation. The results show that (i) proficiency and grammaticality judgement competence show high correlation, (ii) individual accuracy scores correlate strongly with levels on the TOPIK proficiency scale on most linguistic features in the test, and (iii) Japanese speakers outperform Chinese speakers at the same levels of proficiency on most linguistic features. The findings indicate that global proficiency scales like the TOPIK can be deconstructed using grammaticality judgement test that provides detailed measures of learners' control of linguistic features.

• Cross-Cultural Studies
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• v.31
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• pp.395-414
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• 2013

EPS-TOPIK is a test of Korean proficiency which is enforced at the level of Korean government for the selection of competent foreign workers. Therefore, it must ensure validity and reliability, and practicability as a language assessment tool. For seeking a way of developing EPS-TOPIK, in this paper, the current state of EPS-TOPIK was investigated based upon the materials published by the Korean government, and the questions of EPS-TOPIK were analysed. Together with this, newspaper articles both in Korea and in foreign countries were also analyzed, and the directors of the EPS center abroad were interviewed. According to the survey results, as expected, the local environment of Korean education is poor in a number of ways to improve the Korean communication skills of foreign workers, as well as to prepare the EPS-TOPIK. To improve the efficiency of the EPS-TOPIK and to enhance the Korean communication skills of foreign workers, the Korean language institutions including the King Sejong Institute, which are in charge of the Korean language education should closely cooperate with the Human Resources Development Service of Korea, which is responsible for all of the influx of foreign workers.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.1
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• pp.1-7
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• 2019

The objective of this study is to examine the trends in big data. Research abstracts were extracted from 4,019 articles, published between 1995 and 2018, on Web of Science and were analyzed using topic modeling and time series analysis. The 20 single-term topics that appeared most frequently were as follows: model, technology, algorithm, problem, performance, network, framework, analytics, management, process, value, user, knowledge, dataset, resource, service, cloud, storage, business, and health. The 20 multi-term topics were as follows: sense technology architecture (T10), decision system (T18), classification algorithm (T03), data analytics (T17), system performance (T09), data science (T06), distribution method (T20), service dataset (T19), network communication (T05), customer & business (T16), cloud computing (T02), health care (T14), smart city (T11), patient & disease (T04), privacy & security (T08), research design (T01), social media (T12), student & education (T13), energy consumption (T07), supply chain management (T15). The time series data indicated that the 40 single-term topics and multi-term topics were hot topics. This study provides suggestions for future research.

• Korean Journal of Occupational Health Nursing
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• v.28 no.4
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• pp.221-229
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• 2019

Purpose: The aim of this study was to identify core keywords and topic groups of workplace bullying researches in the past 10 years for better understanding research trend. Methods: The study was conducted in four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building co-occurrence matrix and 4) analyzing network features and clustering topic groups. Results: 437 articles between 2010 and 2019 were retrieved from 5 databases (RISS, NDSL, Google scholar, DBPIA and Kyobo Scholar). Forty-one abstracts from these articles were extracted, and network analysis was conducted using semantic network module. The most important core keywords were 'turnover', 'intention', 'factor', 'program' and 'nursing'. Four topic groups were identified from Korean databases. Major topics were 'turnover' and 'organization culture'. Conclusion: After reviewing previous research, it has been found that turnover intention has been emphasized. Further research focused on various intervention is needed to relieve workplace bullying in nursing field.