• Journal of Science Education
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• v.36 no.2
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• pp.381-393
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• 2012

This study was analyzed that what kind of elements for STEAM, except scientific commonsense, are contained in 2009 revised chemistry textbooks I for high school students. So first, elements of STEAM in textbooks were examined by following three sections; by publishing company, each unit and area of textbook. For reference, new sub-elements of STEAM were set because existing elements of STEAM is incongruent with current textbooks. As a result, most chemistry textbooks included elements of STEAM properly for inter-related learning with the other fields. Every textbook had its unique learning methods for utilizing elements of STEAM and they were unified as one way. Depending on textbooks, learning methods were little bit different from the others. Also, detailed elements of STEAM contained in textbooks were classified just 14 types. And they were even focused on a few elements according to sort of textbook. Thus, it seemed that there was a certain limitation of current education of STEAM in chemistry Field. By the unit, according to the curriculum, contained elements of STEAM were different. Almost all elements of STEAM were located in I section. Consequently, it is difficult to include elements of STEAM if mathematics or history were not existed in curriculum. Lastly, by the area, most of all elements of STEAM were included in reference section. Almost all elements of STEAM were focused on art and culture. Thus, STEAM was used for utilization about chemical knowledge in substance. Otherwise, convergence training for approach method was not enough in chemical knowledge.

• Journal of Korean Library and Information Science Society
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• v.50 no.1
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• pp.105-124
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• 2019

This study was to suggest the improvement and the application of KDC 6 for classifying children's books by the literature review and survey. First, it was suggested to shorten the classification numbers by the divisions and subdivisions and to expand the classification numbers by sub-subdivisions according to the library-specific classification policy, using the subject statistics of the children's books held by 20 public libraries affiliated in Seoul Metropolitan Office of Education and representative C libraries. Second, the knowledge picture books and the fairy tales were suggested to be classified according to its subject, and the fairy tales in each country were suggested to be classified by adding sub-subdivisions and genre subdivisions. Third, it was suggested to shelve by collection and location codes that were distinguished by the ages and the reading level for user, to prepare a standard guideline for shelving, and to implement the regular user education about the classification system. This study could contribute to the development of the KDC abridged version for children's books in the future.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.7-13
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• 2023

This study investigated the criteria for evaluating the impact of artificial intelligence services. The study classified AI evaluation targets into two areas: AI service and AI technology, and identified influence, sustainability, efficiency, effectiveness, and appropriateness as potential evaluation criteria. The time aspect of AI service evaluation was divided into pre-evaluation and post-evaluation, with pre-evaluation focused on reviewing items during development and design. The AI service area was classified into public, private, and mixed forms, and the impact assessment was classified as vertical or horizontal. The application of AI services was divided into normative and regulatory aspects, and the purpose of the evaluation could be impact or process evaluation. The subject and field of the AI service could also be used for classification purposes. The results of this study can be used to support the creation of AI service impact policies and countermeasures. However, further research is needed to develop specific indicators based on the criteria identified in this study to evaluate the impact of AI services.

• Electronics and Telecommunications Trends
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• v.30 no.6
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• pp.90-98
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• 2015

본 논문에서는 비동기식 회로기술의 최근 동향을 분석하기 위해 관련 분야의 가장 저명한 학회인 비동기식 회로 및 시스템 학회(International Symposium on Asynchronous Circuits and Systems: ASYNC)에 투고된 논문과 기존의 동향분석 자료를 비교 분석하여 제시하고, 관련 업체의 상용화 사례를 통한 비동기식 회로 기술전망을 제시한다. 조사된 논문은 2011년부터 2015년까지 투고된 총 90편의 논문을 각 기준에 따라 분류하고, 연도별, 국가별, 기관별 동향을 분석함으로 최근 관련 기술의 연구동향을 통계화하여 제시하였다. 분석 결과 지난 최근 3년 내 Low Power 분야가 주목할 만한 성장세를 보였고, 상용화 사례로는 Intel의 비동기식 설계를 통한 네트워크 칩, IBM의 Brain inspired processor인 TrueNorth 프로세서 등이 주목할 만하다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.798-805
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• 2015

본 연구는 국가과학기술지식정보서비스(NTIS) 데이터베이스에 등록된 국내 국가연구개발(R&D)사업 중에 플라즈마 기술 관련 Raw-data를 분석하여 플라즈마 기술 분야에 대한 정부 부처별, 연구수행주체별, 연구개발단계별 등 국내 산학연 전반에 투입된 연구개발(R&D) 예산을 조사 및 분석하였다. 특히, 2012~2014년을 기준으로 플라즈마 기술 관련 연구수행주체(정부부처, 국공립연구소, 출연(연), 대학, 대기업, 중소기업, 중견기업) 각각에 대해 연구 관심 분야 및 핵심기술을 알 수 있는 척도인 연구개발단계(기초, 응용, 개발)와 과학기술표준분류체계 등을 포함한 상호 연계성을 식별 가능한 네트워크로 가시화하였다. 이에 본 논문은 NTIS 데이터 기반 다양한 관점의 시사점을 플라즈마 기술 활성화 전략 수립 사례에 적용함으로써 사전기획 강화를 위한 데이터 분석 방법을 제안한다.

• Proceedings of the Korean Association for Survey Research Conference
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• 2001.04a
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• pp.17-26
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• 2001

We broadly review the whole articles in Survey Methodology published by Statistics Canada. By the classification of subject and application area as well as years, we find some features, of the articles. In addition, we classify them according to the sort of data analyzed in the article and investigate how does it use data.

• Journal of the Korea Society of Computer and Information
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• v.12 no.4
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• pp.169-177
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• 2007

Competitive international business environment has forced many firms to focus on supply chain management to cope with highly increasing competition. Hence the supplier selection is the most important decision of a company. Because it has a direct effect on cost reduction and quality, profitability and flexibility improvement of a company, so the right supplier selection significantly affect on the organization's efficiency and effectiveness and competitiveness. The primary research objects of this study is to evaluate an importance of supplier selection factors as an index and to present the evaluation model for supplier selection. For this purpose, this study adopts the AHP method to calculate the importance of supplier selection factors. In this study, 16 factors which affect on the supplier selection decision making are classified into three factors-product supply related factor, product related factor, management ability related factor.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.879-883
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• 2000

비디오 기반 사람의 모션 캡쳐에 관한 연구는 최근 몇 년 동안 컴퓨터 비전분야에서 폭넓은 연구가 진행되어지고 있다. 본 논문은 비디오 기반으로 사람의 모션을 전체 프레임이 진행되는 동안 프레임 별로 디스플레이 한다. 첫 프레임에서 비디오 세그멘테이션 과정에서 샷을 검출하고 이를 이용하여 객체를 분류한다. 분류된 객체에서 사람의 영역을 추출한다. 추출된 영역은 다음 프레임의 위치를 예측하게 된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.745-747
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• 2023

여러 분야에서 인공지능 모델을 활용한 추천 방법들이 많이 사용되고 있다. 본 논문에서는 관광지의 대중적이고 정확한 추천을 위해 GPT-3 와 같은 생성 모델로 생성한 가상의 리뷰 문장을 통해 KoBERT 모델을 학습했다. 생성한 데이터를 통한 KoBERT 의 학습 정확도는 0.98, 테스트 정확도는 0.81 이고 실제 관광지별 리뷰 데이터를 활용해 관광지를 분류했다.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1053-1065
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• 2019

Land use statistics calculation is very informative data as the activity data for calculating exact carbon absorption and emission in post-2020. To effective interpretation by land use category, This study classify automatically image interpretation by land use category applying forest aerial photography (FAP) to deep learning model and calculate national unit statistics. Dataset (DS) applied deep learning is divided into training dataset (training DS) and test dataset (test DS) by extracting image of FAP based national forest resource inventory permanent sample plot location. Training DS give label to image by definition of land use category and learn and verify deep learning model. When verified deep learning model, training accuracy of model is highest at epoch 1,500 with about 89%. As a result of applying the trained deep learning model to test DS, interpretation classification accuracy of image label was about 90%. When the estimating area of classification by category using sampling method and compare to national statistics, consistency also very high, so it judged that it is enough to be used for activity data of national GHG (Greenhouse Gas) inventory report of LULUCF sector in the future.