• Title/Summary/Keyword: Creative Analysis

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

  • 임영숙
    • Korean Institute of Interior Design Journal
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    • no.30
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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.

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

  • Jeon, Won-Kyung;Han, Chang-Hyun;Kang, Jong-Seok;Heo, Eun-Jung;Han, Joong-Su;Lee, Young-Joon
    • Journal of Oriental Neuropsychiatry
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    • v.22 no.3
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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
    • Journal of Korea Multimedia Society
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    • v.23 no.10
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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.

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

  • 강석현;박시형;이성수
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2001.10a
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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
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.6
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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.

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

  • Park, Sun-Woo;Choi, Sun-Young;Park, Chan-Soo;Choi, Chui-Kyung
    • Proceeding of KASS Symposium
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    • 2006.05a
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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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Toward Sentiment Analysis Based on Deep Learning with Keyword Detection in a Financial Report (재무 보고서의 키워드 검출 기반 딥러닝 감성분석 기법)

  • Jo, Dongsik;Kim, Daewhan;Shin, Yoojin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.5
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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.

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

  • Chung, Myoung-Bum;Ko, Il-Ju
    • The KIPS Transactions:PartD
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    • v.14D no.4 s.114
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    • pp.381-388
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    • 2007
  • Consumers changed to the subject to produce a digital contents as data transmission technique is advanced and a digital machine is diffused variously. Users are interested greatly in a user creative movie (UCM) production among various online contents. The UCM production method which uses the music and picture is the method that users make the UCM more easily. However, the UCM production service has the problem that any association does not exist in the music and picture and that the picture changes according to fixed time interval without the relation at a music rhythm. To solve this problem, we propose the UCM production method which uses a music analysis and picture analysis in the paper. A music analysis finds a picture change time according to the rhythm and a picture analysis finds the association of the picture. A music analysis finds strong parts of the sound which uses Root-Mean-Square (RMS). And a picture analysis classifies the picture as a scenery picture and people picture which uses structure simplicity of the picture(SSP) and face region detection. A picture analysis got correct result of 86.4% in the experiment and we can finds the association at each picture and arranges the sequence which the picture appears. Therefore, if we use a music and picture analysis at the UCM production, users may make natural and efficient movie.

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

  • Cha, Song-Hyun;Kim, Hyun-Seok;Cho, Seonho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.28 no.1
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    • pp.9-18
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    • 2015
  • In this paper, we verify the optimal topology design for heat conduction problems in steady stated which is obtained numerically using the adjoint design sensitivity analysis(DSA) method. In adjoint variable method(AVM), the already factorized system matrix is utilized to obtain the adjoint solution so that its computation cost is trivial for the sensitivity. For the topology optimization, the design variables are parameterized into normalized bulk material densities. The objective function and constraint are the thermal compliance of the structure and the allowable volume, respectively. For the experimental validation of the optimal topology design, we compare the results with those that have identical volume but designed intuitively using a thermal imaging camera. To manufacture the optimal design, we apply a simple numerical method to convert it into point cloud data and perform CAD modeling using commercial reverse engineering software. Based on the CAD model, we manufacture the optimal topology design by CNC.

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

  • Jung, Yu-Jin;Kim, Jin-Su;Park, Nam-Je
    • Journal of the Korea Convergence Society
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    • v.11 no.4
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    • pp.125-131
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    • 2020
  • As technology advances, the importance of software education is increasing. Accordingly, interest in information subjects is increasing, but intending elementary learners to show algorithms only for specialized IT skills that could spoil the interest. In this paper for the elementary school students, through the four stages, 2015 revision curriculum analysis, creating of training program development operating plans, applying programs for the targeting students and analysis of results and evaluation, using Rich Picture technique which is various tools such as pictures and speech bubble symbols for the learners can express the intelligent CCTV algorithm freely and easily so they can understand fully about the algorithm of intelligent CCTV that uses artificial intelligence to extract faces from subjects. Suggest on this paper, the proposal of educational program can help the learner to grasp the principle of the algorithm by using the flowchart. As the result, Through the modification and development of the proposed program, we will conduct research on IT creative education that can be applied in various areas.