• Journal of the Korean Institute of Educational Facilities
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• v.2 no.2
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• pp.41-50
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• 1995

The large increase in the number of students and the current rapid social change requires the expansion of educational facilities for the improvement of the educational content and its method, the usefulness of educational media, and the improvement of teaching and learning activities. The educational facilities have largely served is done efficiently and it results in a functional harmony of these two aspects. In order to maximize this harmony, and thus maximize the efficiency of school education, we must analyze the human engineering factors of educational facilities through human being that is the main subject of education, humans. Therefore to maximize the efficiency of school education, we must analyze the human engineering factors of educational facilities through human being that is the main subject in learning and living. In Conclusion we suggest the following six analying standards on human engineering of educational facilities; 1. adequacy 2. suitability 3. healthfulness 4. safety 5. beauty 6. modernity.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.349-352
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• 2009

최근 정보의 형태는 텍스트나 이미지 기반에서 벗어나 복합 멀티미디어, 즉 동영상 위주로 빠르게 이동하고 있다. 특히 사용자에 의해 제작되고 유통되는 동영상 UCC의 급격한 부상은 사용자의 정보 생산력과 정보 공유, 소비 형태를 능동적으로 변화시키고 있다. PC 뿐 아니라 IPTV에서도 주요 서비스 모델로 관심을 받는 동영상 UCC는 향후 지식 결부형 학습 콘텐츠로 옮아갈 것이라 예상되고 있으며 여기에는 수익 모델의 개발과 저작권 보호 이슈가 해결해야 할 선결 과제로 인식된다. 이에 본 논문은 방송 콘텐츠 제공 표준 기술인 TV-Anytime, 학습객체메타데이터인 LOM(Learning Object Metadata)을 기반으로 OSMU 동영상 UCC 학습 콘텐츠 서비스 모델을 위한 에디터를 설계하고 외부 콘텐츠 소스를 활용할 수 있는 콘텐츠 저작 시나리오에 기반한 메타데이터를 설계하였다. 이를 통해 사용자의 다양한 지식을 활용할 수 있는 UCC 학습 콘텐츠 서비스 모델 발굴과 콘텐츠의 확대 재생산에 있어서 적극적인 저작권 보호가 이루어질 것을 기대한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.497-498
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• 2015

영상을 취득한 후 다양한 응용프로그램으로 확장이 가능한 4 차원 light field 영상은 일반적인 2 차원 공간 (spatial) 영역과 추가적인 2 차원 각 (angular) 영역으로 구성된다. 그러나 이러한 4 차원 light field 영상을 2 차원 CMOS 센서로 취득하므로 이에 따른 해상도 제약이 존재한다. 본 논문에서는 이러한 4 차원 light field 영상이 가지는 해상도 제약 조건을 해결하기 위하여, 4 차원 light field 영상에 적합한 학습 기반 (learning-based) 초해상도 (superresolution) 알고리즘을 제안한다. 제안하는 알고리즘은 공간영역 해상도 그리고 각영역의 해상도를 각각 2 배 향상시킨다. 실험에 사용되는 영상은 상용 light field 카메라인 Lytro 에서 취득하며, 기존의 선형 보간 기법인 bicubic 기법과의 비교를 통해 제안하는 기법의 우수성을 검증한다.

• Journal of Korea Multimedia Society
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• v.20 no.12
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• pp.2000-2008
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• 2017

The purpose of this study is to analyze the misconception flowchart of programming control structure and to suggest it as a method for improving computational thinking. In this study, we divide programming control structure concept into sequential, iteration, selection, and function, analyze what concept and principle are difficult for each learner, and what kind of misconception flowchart is drawn in the Introduction of C Programming course for beginners' programming learning. As an example, we show that a lesson learned from the process of correcting the misconception flowchart to the correct flowchart in the course.

• ETRI Journal
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• v.31 no.3
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• pp.282-291
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• 2009

An online mean-shift object tracking algorithm, which consists of a learning stage and an estimation stage, is proposed in this work. The learning stage selects the features for tracking, and the estimation stage composes a likelihood image and applies the mean shift algorithm to it to track an object. The tracking performance depends on the quality of the likelihood image. We propose two schemes to generate and integrate likelihood images: one based on the discrete AdaBoost (DAB) and the other based on the real AdaBoost (RAB). The DAB scheme uses tuned feature values, whereas RAB estimates class probabilities, to select the features and generate the likelihood images. Experiment results show that the proposed algorithm provides more accurate and reliable tracking results than the conventional mean shift tracking algorithms.

• Journal of information and communication convergence engineering
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• v.16 no.3
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• pp.160-165
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• 2018

This paper designed and developed the image processing system of integrating feature extraction and matching by using convolutional neural network (CNN), rather than relying on the simple method of processing feature extraction and matching separately in the image processing of conventional image recognition system. To implement it, the proposed system enables CNN to operate and analyze the performance of conventional image processing system. This system extracts the features of an image using CNN and then learns them by the neural network. The proposed system showed 84% accuracy of recognition. The proposed system is a model of recognizing learned images by deep learning. Therefore, it can run in batch and work easily under any platform (including embedded platform) that can read all kinds of files anytime. Also, it does not require the implementing of feature extraction algorithm and matching algorithm therefore it can save time and it is efficient. As a result, it can be widely used as an image recognition program.

• Proceedings of the KIEE Conference
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• 1989.07a
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• pp.486-490
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• 1989

In this paper, a program controlling an auto-audio media - cassette deck - by a 16 bit personal computer is studied in order to execute audio and visual learning in CAI. The results of this study are as follows. 1. Audio and visual learning is executed efficiently in CAI. 2. Access rate of voice information to text/image information is about 98% and 60% in "play" and "fast forward" respectively. 3. In "fast forward", quality of a cassette tape affects voice information access rate in propotion to motor driving speed. 4. Synchronizing signal may be mistaken by defects of tape itself.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.223-228
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• 2009

We propose an on-line machine learning approach for object recognition, where new images are continuously added and the recognition decision is made without delay. Random forest (RF) classifier has been extensively used as a generative model for classification and regression applications. We extend this technique for the task of building incremental component-based detector. First we employ object descriptor model based on bag of covariance matrices, to represent an object region then run our on-line RF learner to select object descriptors and to learn an object classifier. Experiments of the object recognition are provided to verify the effectiveness of the proposed approach. Results demonstrate that the propose model yields in object recognition performance comparable to the benchmark standard RF, AdaBoost, and SVM classifiers.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.337-339
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• 2011

본 연구에서는 EPUB기반의e-Book 콘텐츠를 스마트러닝환경에서학습객체로 활용하고자한다. 이를 위해e-Book의 표준인 EPUB을 분석하여 SCORM의 콘텐츠 모델을 적용하여 확장 설계하였으며, 더블린코어와 LOM 메타데이터를 Collection Map을 이용하여 EPUB 기반의 학습객체메타데이터인ELOM을 설계하였다. EPUB기반의 학습객체가 LMS에서 추적관리가 가능하도록 SCORM2004의 CMI 데이터 모델을 바탕으로 학습객체 특성에 맞는 기본 데이터 모델을 정의하였다. 설계된 학습객체의 운용 가능성을 평가하기 위해 EPUP기반 오픈소스 콘텐츠인 모비딕의 bodymatter를 학습객체로 재구현한 후 ADL의 SCORM2004 $4^{th}$ Test Suite1.1.1을 이용하여 검증하였다. 본 연구에서 설계된 ELOM은 스마트 스크린으로 확장하여 적용할 수 있다.

• Korean Journal of English Language and Linguistics
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• v.2 no.1
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• pp.123-147
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• 2002

As far as the recent ELT research concerned, it seems to have been no hot ‘theoretical’ issues, but ‘practical’ ones in general: e.g., learners and learning, components of proficiency, correlates of L2 learning, etc. This paper focuses on the theme given above, with a special reference to the sub-title: specifically, 1) World English, world Englishes and world's lingua franca; 2) ENL, ESL and EFL; 3) Grammars, style manuals, dictionaries and media; 4) Pronunciation models: RP, BBC model and General American, Network Standard; 5) Lexical, grammatical variations and discourse grammars; 6) Beliefs and subjective theories in foreign language research; 7) Dilemma among radical, canonical and eclectic views. In conclusion, the author offers a modest proposal: we need to appeal to our own experience, intention, feeling and purpose, that is, our identity to express “our own selves” in our contexts toward the world anywhere, if not sounding authentic enough, but producing it plausibly well. It is time for us (with our ethno-cultural autonomy) to need to be complementary to and parallel with its native speakers' linguistic-cultural authenticity in terms of the broadest mutual understanding.