• Title/Summary/Keyword: Creative Analysis

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21세기 한국실내디자인교육의 문제점 및 방향에 관한 연구 (Issues and Problems of Interior Design Education in Korea for the 21st C.)

  • 임영숙
    • 한국실내디자인학회논문집
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    • 제30호
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    • pp.3-8
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    • 2002
  • The purpose of this study is to discuss the issues and problems of interior design education in Korea and to further present guidelines for curriculum development and research on interior design education in Korea for the 21st Century. Content analysis and scholastic inquiry from various sources were used to examine the issues concerning 1) professional identity, 2) curriculum structure, and 3) creative scholarship including interdisciplinary approach. Identification of these issues presented in this study will allow interior design educators to help prepare interior design students who are qualified to lead the profession in the future.

계량정보분석 기반의 연구개발 성과분석 : 치매 치료용 천연약물 분야 (Research Performance Evaluation Based on Quantitative Information Analysis in the Field of Herbal Medicine for Dementia Treatment)

  • 전원경;한창현;강종석;허은정;한정수;이영준
    • 동의신경정신과학회지
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    • 제22권3호
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    • pp.101-113
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    • 2011
  • Objectives : Trend of R&D of herbal medicine for dementia treatment was examined based on the quantitative information analysis for establishing the national strategy of research on dementia treatment with oriental medicine. Methods : Definition was made to clarify the technology for development of herbal medicine for dementia treatment. Based on the initial keyword provided by experts in the field, queries were compounded to conduct search in the search engines of WoS and DWPI. The raw data (papers or patents) extracted from the initial search were examined by expert-review before objects of analysis were determined. Then, the accumulated data was analyzed in terms of year, country and organization, which led to examination of the trend of R&D. And the research performance evaluation for dementia treatment technologies was also made in terms of country, organization and researcher based on the forward citation analysis. The international cooperation intensity was examined on the basis of analysis of network by researcher before analysis results were put together to select lead researchers. Results : According to the quantitative information analysis of 1,330 articles that were selected as analysis objects, the number of papers on natural products research for dementia treatment has increased by around 4.6 times in recent five years. This indicates that the intensive studies have been underway recently. It was found to be the US that had the highest level in research filed of herbal medicine for dementia treatment and the highest capacity of international cooperation for that purpose. On the contrary, Korea had the share of papers at 5.1%, the number of countries in cooperation research at 8, and the article quality index at 0.40, showing that the qualitative level was insufficient, compared to the quantitative outcome. In particular, Korea was found to have no intensity of international cooperation among researchers. In case of patent, the results of information analysis of 305 patents selected as analysis objects demonstrated that China had the highest share while Korea had the very low frequency of patent application quantitatively. Conclusions : In this study, the research to develop herbal medicine for dementia treatment has recently drawn much attention that has spread around the globe. Therefore, these results suggest establishing the strategy to develop technology for dementia treatment with oriental medicine in the future based on quantitative information analysis.

Analysis Model Evaluation based on IoT Data and Machine Learning Algorithm for Prediction of Acer Mono Sap Liquid Water

  • Lee, Han Sung;Jung, Se Hoon
    • 한국멀티미디어학회논문지
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    • 제23권10호
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    • pp.1286-1295
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    • 2020
  • It has been increasingly difficult to predict the amounts of Acer mono sap to be collected due to droughts and cold waves caused by recent climate changes with few studies conducted on the prediction of its collection volume. This study thus set out to propose a Big Data prediction system based on meteorological information for the collection of Acer mono sap. The proposed system would analyze collected data and provide managers with a statistical chart of prediction values regarding climate factors to affect the amounts of Acer mono sap to be collected, thus enabling efficient work. It was designed based on Hadoop for data collection, treatment and analysis. The study also analyzed and proposed an optimal prediction model for climate conditions to influence the volume of Acer mono sap to be collected by applying a multiple regression analysis model based on Hadoop and Mahout.

모터싸이클 디스크 브레이크의 열 및 응력 해석을 통한 형상 설계 (A Study on Shape Design of Motorcycle Disk using Thermal and Stress Analysis)

  • 강석현;박시형;이성수
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2001년도 추계학술대회(한국공작기계학회)
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    • pp.363-368
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    • 2001
  • Studies on brake system recently are focused on braking performance, especially the consideration on safety of braking system in an extreme situation and reduction of vibration and noise during braking operation. The thermal crack and Judder from the friction between brake disc and pad can bring the threaten of passengers' safety in the end. Braking force comes from the change of kinetic energy to friction energy. Since heat energy is developed from here, the analysis on thermal stress and thermal strain can be the good data when selecting the material of brake pad and designing heat radiation holes on the disc and it will also be the data when designing the thickness of the disc. This paper is intended to show a creative design method by suggesting the thermal analysis data through FEM study and using shape design parameters.

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A Meta-Analysis on the Effects of Educational Programming Language on High-level Thinking

  • Kim, Dong-Man;Lee, Tae-Wuk
    • 한국컴퓨터정보학회논문지
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    • 제23권6호
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    • pp.81-89
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    • 2018
  • In this paper, we propose to investigate the existing EPL education related studies and to collect the total effect size for the improvement of high-level thinking through meta-analysis and to confirm the effect size according to various variables. So, we have objectively identified and generalized the practical effects of EPL education on the various elements of high-level thinking and high-level thinking. The results of the meta-analysis showed that 1) EPL is a teaching-learning tool that greatly improves students' high-level thinking. 2) Education based EPL has greatly contributed to the enhancement of creative thinking and logical thinking among high-level thinking. 3) Kodu, App Inventor, Scratch, and Dolittle was confirmed that the effect on the improvement of high-level thinking was great.

칼라트라바의 방법론적 전제에 의한 형태구성 메커니즘 (Calatrava's Morphogenetic Mechanism Based on Methodological Hypothesis; Analogy and Analysis)

  • 박선우;최선영;박찬수;최취경
    • 한국공간구조학회:학술대회논문집
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    • 한국공간구조학회 2006년도 춘계 학술발표회 논문집 제3권1호(통권3호)
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    • pp.142-152
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    • 2006
  • The purpose of this study is to explore an inquisitive and innovative approach to structure and form, Calatrava's morphogenetic mechanism and to trace the ideas behind his working methods and his theoretical preoccupations. The bridges and buildings of S. Calatrava possess a breathtaking rhythm and of them some are designed to expand and contract like living organisms. The analogy Calatrava has used as a creative tool to mutate human bodies into arcing roof forms and bridge suspensions is introduced to illustrate the morphogenetic process. At the same time, the analysis used developing how to design frame structures foldable with brilliant mathematical solution is also investigated. Consequently, the potentialities of Calatrava's morphogenetic mechanism to invent new systems are generated by methodological hypothesis; analysis and analogy.

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재무 보고서의 키워드 검출 기반 딥러닝 감성분석 기법 (Toward Sentiment Analysis Based on Deep Learning with Keyword Detection in a Financial Report)

  • Jo, Dongsik;Kim, Daewhan;Shin, Yoojin
    • 한국정보통신학회논문지
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    • 제24권5호
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    • pp.670-673
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    • 2020
  • Recent advances in artificial intelligence have allowed for easier sentiment analysis (e.g. positive or negative forecast) of documents such as a finance reports. In this paper, we investigate a method to apply text mining techniques to extract in the financial report using deep learning, and propose an accounting model for the effects of sentiment values in financial information. For sentiment analysis with keyword detection in the financial report, we suggest the input layer with extracted keywords, hidden layers by learned weights, and the output layer in terms of sentiment scores. Our approaches can help more effective strategy for potential investors as a professional guideline using sentiment values.

동영상 콘텐츠 생성을 위한 음악과 사진 분석 (Analysis of Music and Photo for User Creative Movie)

  • 정명범;고일주
    • 정보처리학회논문지D
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    • 제14D권4호
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    • pp.381-388
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    • 2007
  • 데이터 전송 기술의 발달과 디지털 기기의 다양한 보급으로 소비자들은 디지털 콘텐츠를 생산하는 주체로 변화하였다. 생성되는 다양한 콘텐츠 중 사용자는 동영상 제작에 큰 관심을 보였으며, 그 중 음악과 사진으로 동영상을 제작하는 방법은 사용자에게 보다 손쉽게 동영상을 만들 수 있도록 제공되었다. 그러나 현재의 방법은 사진과 사진간의 연관성이 결여되었을 뿐 아니라, 음악의 리듬과 관계없이 일정 시간 간격에 따라 사진이 변화한다. 본 논문에서는 음악 분석을 통하여 음악 리듬에 따라 사진이 변화하고, 사진 분석을 통하여 사진 간의 연관성을 나타낼 수 있는 동영상 제작 방법을 제안한다. 음악 분석은 RMS를 이용하여 리듬이 강한 부분을 찾았으며, 사진 분석은 구조 단순도와 얼굴 영역 추출을 이용하여 인물 사진과 풍경사진으로 분류하였다. 사진 분석은 86.4%의 성공률을 보였으며, 이를 이용하여 음악 리듬에 맞은 사진 변화 위치와 사진간의 연관성을 가진 순서 배치를 할 수 있었다. 따라서 음악 분석과 사진 분석을 이용한 자연스럽고 효과적인 동영상을 제작 할 수 있다.

열전도 문제에 관한 위상 최적설계의 실험적 검증 (Topology Design Optimization and Experimental Validation of Heat Conduction Problems)

  • 차송현;김현석;조선호
    • 한국전산구조공학회논문집
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    • 제28권1호
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    • pp.9-18
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    • 2015
  • 본 논문에서는 애조인 설계민감도(DSA)를 사용하여 평형상태의 열전도문제에서 수치적으로 얻어진 위상 최적설계를 실험적으로 검증하였다. 애조인 변수법을 이용하면 해석에서 사용되었던 행렬시스템을 애조인 문제를 풀 때 그대로 활용가능하기 때문에 설계민감도를 얻는데 필요한 계산을 매우 효율적으로 수행할 수 있다. 위상 최적설계를 위해서 설계변수는 정규화된 재료밀도 함수로 정하였다. 목적함수는 구조물의 열 컴플라이언스이고 제한조건은 허용 가능한 재료량이다. 또한 열화상카메라를 활용하여 이러한 위상 최적설계로 얻어진 수치적 결과를 부피가 동일하도록 직관적으로 설계된 디자인과 비교하여 실험적으로 검증하였다. 위상 최적설계로 얻어진 결과를 실제로 제작하기 위해 간단한 수치기법을 통해 점 정보로 변환한 후 역설계 상용프로그램을 이용하여 CAD 모델링을 수행한다. 이를 바탕으로 위상 최적설계 결과를 CNC(Computerized Numerically Controlled machine tools) 선반으로 제작하였다.

리치픽처 기법을 적용한 지능형 CCTV 알고리즘 창의교육 프로그램 개발 및 효과 (Development and Effects of Intelligent CCTV Algorithm Creative Education Program Using Rich Picture Technique)

  • 정유진;김진수;박남제
    • 한국융합학회논문지
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    • 제11권4호
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    • pp.125-131
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    • 2020
  • 기술의 발전에 따라 소프트웨어 교육의 중요성이 점차 부각 되고 있다. 이에 따라 정보 교과에 대한 관심도가 높아지고 있으나 초등과정 학습자를 대상으로 전문적인 IT 기술에 대한 알고리즘을 학습하도록 유도하는 것은 학습자의 흥미를 떨어트릴 수 있다. 본 논문에서는 2015 개정 교육과정 분석, 교육 프로그램 운영 계획 개발, 대상 학생 선정 및 프로그램 적용 결과 분석 및 평가의 4가지 단계를 거쳤다. 초등과정의 학습자를 대상으로, 인공지능을 적용하여 피사체에서 얼굴을 추출하는 지능형 CCTV의 알고리즘을 그림이나 말풍선 상징물과 같은 다양한 도구를 이용하여 자유롭게 표현하도록 유도하였다. 또한 지능형 CCTV의 알고리즘을 학습자가 쉽고 다양하게 표현할 수 있도록 리치픽처 기법을 적용하여 학습자의 흥미를 높일수 있는 교육 프로그램을 제안한다. 본 교육 프로그램은 플로우차트를 이용함으로서 학습자에게 알고리즘의 원리를 파악할 수 있도록 도울 수 있으며. 결과에 따라, 제안된 프로그램의 수정과 개발을 통해 다양한 분야에서 적용할 수 있는 IT 창의교육의 연구를 진행할 예정이다.