• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.205-222
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• 2022

This study aims to improve the information service so that construction engineers and construction project participants without specialized knowledge can easily understand the important words and the interrelationships between them in construction practice. To this end, using text mining and network centrality, the frequency of occurrence of words, topic modeling, and network centrality in construction practice information such as technical information, case information, and cost reduction, which are most used in the Construction Technology Digital Library, were analyzed. Through this analysis, design, construction, project management, specifications, standards, and maintenance related to road construction such as roads, pavements, bridges, and tunnels were identified as important in construction practice. In addition, correlations were analyzed for words with high importance by measuring Degree Centrality and Eigenvector Centrality. The result was that more useful information could be provided if the technical information was expanded. Finally, we presented the limitations of the study results and additional studies according to the limitations.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.795-798
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• 2006

국외의 경우 과거에 개발된 개념형 모형을 준분포형 모형으로 확장하고 GIS와 연계하여 모형을 적용하고 있으며, 이러한 경향은 이미 보편화되어 있다. 최근 국내 수자원 분야에서도 GIS를 이용한 모형의 적용이 많이 시도되어지고 있다. GIS와 연계된 모형을 이용할 경우, 기본입력자료로 DEM, 토지피복도, 토양도 등과 같은 수치주제도를 필요로 한다. 이러한 수치주제도는 전국 대분분 유역에 구축되어 있으나, 토양도의 경우 한강유역 휴전선 이북지역에 관한 정보가 아직 구축되어 있지 못한 실정이다. 따라서, 본 연구에서는 토양도의 공간적인 정보와 그 속성정보가 준분포형 모형인 SWAT-K 모형에서 유출량에 미치는 영향을 파악하고자 하였다. 대상유역으로는 충주댐 유역을 선정하였으며, 토양도의 속성정보는 3가지 시나리오(유역면적평균, 전국평균A, B)를 가정하였다. 대상유역을 10개의 소유역으로 구분하여, 토양도 미구축 유역이 증가함에 따라 3가지 속성정보 시나리오에 따른 연유출량의 오차를 검토하였다. 그 결과, 대상유역의 토양도 속성정보를 면적평균하여 적용한 경우 가장 작은 오차를 보임을 확인하였으며, 미구축 유역이 약 30, 60 %일 경우에 각각 1.4, 3.5 mm의 RMSE값을 나타내었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.41-41
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• 2021

최근 전 세계적으로 급증하는 기후변화의 영향으로 이상기후로 인한 자연재해들의 강도 및 발생 빈도의 증가가 다양한 연구를 통하여 확인되고 있으며, 이를 대비 및 대응하기 위한 방안수립 연구가 세계의 가장 중요한 주제로 부상되고 있다. 우리나라의 경우에는 기후변화에 따른 심각성 문제가 대두되고 있지만 국가적 대응기반조성 및 수자원정책 의사결정에 직접적으로 활용될 수 있는 일관성 있고 통합적인 기후 정보가 부족한 실정이다. 미래 기상 변동성을 나타내는 기후모델은 전 지구적 대규모 기상장(large scale climate pattern)을 비교적 정확하게 묘사하는 것으로 알려져 있으나 모형에 내재해 있는 시·공간적 편의(spatial-temporal bias) 및 불확실성으로 인하여 통계학적 상세화가 필수적으로 요구된다. 이러한 편향성은 일반적으로 지상 관측 자료를 격자에 보간하여 보정하는 방법이 적용되고 있지만, 관측자료의 불연속성 및 관측소의 불균등성으로 인하여 공간적 신뢰성이 낮다. 이에, 본 연구에서는 Bayesian 기반의 Kriging을 통한 공간적 편의보정 및 QDM(quantile delta mapping)을 연계한 새로운 격자 기반의 통계적 상세화 모형 Bayesian Kriging-QDM을 개발하였다. 본 연구를 통하여 산정된 결과는 과거자료에 근거하여 이루어지는 기존의 보수적인 수자원 관리 체계의 위험성을 저감 시킬 수 있는 의사결정에 직접적으로 활용될 수 있는 기초 자료로 이용 가능할 것으로 판단된다.

• Proceedings of the Korean Society for Information Management Conference
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• 1997.08a
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• pp.99-102
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• 1997

인터넷 도구 중의 하나인 탐색엔진은 월드 와이드 웹의 보편화와 함께 중요한 매개체로 자리잡고 있다. 탐색엔진은 서비스 제공형태에 의해 크게 분류체계 제공형과 주제어 검색 제공형으로 나뉘어 지는데, 분류체계 제공형 엔진에 대한 연구는 그 이용빈도에 비해 부족한 편이다. 따라서, 인터넷 이용자의 탐색노력을 줄이는데 보다 유용한 분류체계 제공형 엔진에 대한 연구가 필요하다. 본 연구에서는 분류체계 제공에 중점을 두고 있는 국내외의 대표적인 탐색엔진 6종과 문헌 분류이론인 KDC와 DDC를 선정하여 그 분류체계를 비교ㆍ분석하여 적합한 형태의 탐색엔진 분류체계의 모형을 구축하고자 한다.

• Communications for Statistical Applications and Methods
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• v.15 no.6
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• pp.925-937
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• 2008

In this study, we considered the clustering analysis for stock return traded in the stock market. Most of financial time-series data, for instance, stock price and exchange rate have conditional heterogeneous variability depending on time, and, hence, are not properly applied to the autoregressive moving-average(ARMA) model with assumption of constant variance. Moreover, the variability is font and center for stock investors as well as academic researchers. So, this paper focuses on the generalized autoregressive conditional heteroscedastic(GARCH) model which is known as a solution for capturing the conditional variance(or volatility). We define the metrics for similarity of unconditional volatility and for homogeneity of model structure, and, then, evaluate the performances of the metrics. In real application, we do clustering analysis in terms of volatility and structure with stock return of the 11 Korean companies measured for the latest three years.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.349-354
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• 2021

In this study, a model that can converge with artificial intelligence in each subject as software and artificial intelligence education become mandatory in the curriculum revised in 2022 is proposed. The proposed AI convergence education model is based on the content of the subject (accomplishment standard + subject). The second axis is artificial intelligence tools, the third axis is artificial intelligence technology, and the fourth axis is data applied in daily life. In order to apply artificial intelligence to each subject, it is necessary to apply artificial intelligence tools, artificial intelligence technology, and data in daily life to the achievement standards and content of each subject. If the achievement standards and subject contents are structured in this way, it can be seen that the convergence with each subject is good. Therefore, when composing textbooks by achievement standards and topics, it is necessary to add artificial intelligence tools, artificial intelligence technology, and daily data.

• Journal of the Korean Society for information Management
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• v.18 no.4
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• pp.37-55
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• 2001

The purpose of this study is to present a text summarization system using a knowledge base containing information about verbs and their arguments that are statistically obtained from a subject domain. The system consists of two modules: the training module and the summarization module. The training module is to extract cue verbs and their basic sentence patterns by counting the frequency of verbs and case markers respectively, and the summarization module is substantiate basic sentence patterns and to generate summaries. Basic sentence patterns are substantiated by applying substantiation rules to the syntactics structure of sentences. A summary is then produced by connecting simple sentences that the are generated through the substantiation module of basic sentence patterns. ‘robbery’in the daily newspapers are selected for a test collection. The system generates natural summaries without losing any essential information by combining both cue verbs and essential arguments. In addition, the use of statistical techniques makes it possible to apply this system to other subject domains through its learning capability.

• Korean Journal of Social Welfare
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• v.63 no.2
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• pp.109-132
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• 2011

This study is to explain the interaction of muslem immigrant workers in korea. The author approached new ethnography study method. Ten of Muslem immigrant worker and 10 korea participated this research. Data were collected by in-depth interview and non-participation observation The author analyzed the date according to Spradey(1979)'s Developmental Research Sequence model. As result "From secular way to religious way", "Reconstruction of ultra ethnic religious" were presented cultural theme.

• Journal of Engineering Education Research
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• v.11 no.2
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• pp.90-101
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• 2008

This study was conducted to develop pre-engineering educational program model based on STEM integration approach. To accomplish this purpose literature review and content validity ratio survey were carried out. The main results of this study were as follows: First, the conceptual model of STEM integration approach was constituted. Second, the conceptual model of pre-engineering educational program model based on STEM integration approach was proposed. Third, the formation steps of inquiry project activity, problem solving activity, and creative engineering design activity were developed to structure the educational program.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.334-342
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• 2016

This study performed an appreciative inquiry into models of instruction for the community learning. For this purpose, this study examined the principle of learning, instruction models for community learning, and appreciative inquiry. Next, draft appreciative inquiry models were built based on the principle of instruction models for the community learning. The previously designed appreciative inquiry models were revised and complemented through expert investigation by a focus group interview. This paper proposes a process of seven steps core learning activities. The seven steps were selecting a theme, interviewing for finding success story, analyzing an organization's success stories and deriving the core values, deriving future of the organization, sharing future of the organization, designing the ideal future of the organization consist of a practice, implement, and reflect. Because the proposed seven steps process is based on the literature and focus group interview, a follow-up study will be needed to verify the result.