• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.5
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• pp.892-898
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• 2012

Rough classification methods are used to improving the recognition speed in many character recognition problems. In this case, some irreversible result can occur by an error in rough classification. Methods for duplicating each model in several classes are used in order to reduce this risk. But the errors by rough classfication can not be completely ruled out by these methods. In this paper, an recognition method is proposed to increase speed that matches models selectively without any increase in error. This method constructs a model graph using similarity between models. Then a search process begins from a particular point in the model graph. In this process, matching of unnecessary models are reduced that are not similar to the input pattern. In this paper, the proposed method is applied to the recognition problem of handwriting numbers and upper/lower cases of English alphabets. In the experiments, the proposed method was compared with the basic method that matches all models with input pattern. As a result, the same recognition rate, which has shown as the basic method, was obtained by controlling the out-degree of the model graph and the number of maintaining candidates during the search process thereby being increased the recognition speed to 2.45 times.

• The KIPS Transactions:PartB
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• v.12B no.4 s.100
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• pp.429-436
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• 2005

A simple stereo matching algorithm using population-based incremental learning(PBIL) is proposed in this paper to decrease the general problem of genetic algorithms, such as memory consumption and inefficiency of search. PBIL is a variation of genetic algorithms using stochastic search and competitive teaming based on a probability vector. The structure of PBIL is simpler than that of other genetic algorithm families, such as serial and parallel ones, due to the use of a probability vector. The PBIL strategy is simplified and adapted for stereo matching circumstances. Thus, gene pool, chromosome crossover, and gene mutation we removed, while the evolution rule, that fitter chromosomes should have higher survival probabilities, is preserved. As a result, memory space is decreased, matching rules are simplified and computation cost is reduced. In addition, a scheme controlling the distance of neighbors for disparity smoothness is inserted to obtain a wide-area consistency of disparities, like a result of coarse-to-fine matchers. Because of this scheme, the proposed algorithm can produce a stable disparity map with a small fixed-size window. Finally, an alterative version of the proposed algorithm without using probability vector is also presented for simpler set-ups.

• Journal of Gifted/Talented Education
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• v.23 no.6
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• pp.1117-1145
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• 2013

Research on entrepreneurial giftedness is in its initial stage and the importance is increasing these days. The purpose of this article is to establish a foundation of entrepreneurial giftedness research by conceptualizing the concept and characteristics of entrepreneurial giftedness. The author reviewed prior research on entrepreneur and entrepreneurship, potential entrepreneur, gifted youth in invention, and entrepreneurial gifted youth, and proposed a new perspective on entrepreneurial gifted youth based on the findings from the review. Entrepreneurial giftedness proposed in this study is someone who is risk-taking to achieve opportunities and innovation and who has potential to be competent in managing resources. The author also proposed that entrepreneurial giftedness study needs to focus on developmental characteristics, management ability, and practical intelligence. Finally, based on the findings from previous research on entrepreneurial giftedness, environmental and personality characteristics, temperament and character, cognitive traits, and vocational interest of entrepreneurial giftedness are discussed. Implications and further research directions were discussed.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.1-10
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• 2023

The purpose of this study is to explore ways to nurture creative and fusion-type talents centered on ANT. In order to nurture creative and convergence-type talents centered on ANT, first, it is necessary to utilize Kao's Law in the network formation stage. Second, it is necessary to utilize the strong power of weak ties in the network formation stage. Third, in order to cause a stir in the stage of raising questions among the four stages of translation, the ability to ask questions must be developed. Fourth, education in various creative problem-solving techniques is needed to throw a stir. Fifth, in order to successfully intervene in the second stage of the four stages of translation, the stage of attracting attention, communication and critical thinking skills must be trained. Suggestions for follow-up research are: First, it is necessary to compare and analyze the four stages of translation and the stage of the creative problem-solving model presented by ANT. Second, it is expected that there will be follow-up studies that apply specific cases centering on ANT.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.4
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• pp.44-53
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• 2011

This study designed and implemented a web-based computing environment for geovisual analytics using HTML5 canvas. The computing environment supports visualization tools and user's interaction. The visualization tools are cluster map, animated map, temporal parallel coordinate plot, and temporal heat map chart. Users can explore the temporal changes of cluster using multiple view and brushing technique. The computing environment that works well across browsers is used in the computing environment with multiple devices.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.7
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• pp.1521-1528
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• 2010

This paper examines technical writing and teaching methods based on the perspectives of the complex learning system theory. So, the paper first discusses the constituent elements and characteristics of the complex learning system theory and continues to examine the potential of applying the complex learning system theory to new teaching methods. As a result, not only did the research expand the approach methods of providing technical writing education but also confirmed the potential of actual implementation. Such results will provide a leeway to start applying new teaching methods for technical writing education. Furthermore, the paper proposes more detailed case studies related to this topic as well as development of this research to produce textbooks and other higher level researches.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.5
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• pp.1108-1118
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• 2014

The purpose of this study was to spread the education of human creativity program and its possibility of consistency, and its application to school system by exploring the evaluation system that determines the valuable and useful decisions. This study was based on the evaluation system according to CIPP model regarding the program's general ideas and its role. The interest of the education of human creativity was increasing as well as its progress of program, and we searched 13 figures and 55 evaluation index according to increase the program's effectiveness and nation-wise situation of evaluation model. The conclusion of this study was that the human creativity program's evaluation was composed of six compartments. And the context evaluation was composed of three evaluation models and eleven index, and input evaluation was composed of three evaluation model and 15 index, while process evaluation is composed of three evaluation models and thirteen evaluation index. Lastly, output evaluation had four evaluation model and sixteen index.

• Annual Conference on Human and Language Technology
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• 1999.10d
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• pp.145-150
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• 1999

본 논문에서는 한국어 자연어 정보처리 기술 표준화를 위한 형태소 분석기 및 품사 태거 평가 대회(MATEC99)에 참여한 고려대학교의 형태소 분석기, 품사 태거, 그리고 명사 추출기를 설명하고 평가 결과를 기술한다. 형태소 분석기는 입력된 어절을 우에서 좌로 분석하며 각 상태에 대한 예측 정보를 활용하여 불필요한 분석 후보에 대한 탐색을 수행하지 않도록 한다. 품사 태거로는 띄어쓰기를 고려한 형태소 품사 2-그램 확률과 띄어쓰기를 고려한 형태소 어휘-품사 3-그램 어휘 확률을 이용하는 결합 독립 모형을 사용한다. 고속 명사 추출기는 고속의 FST 사전과 한국어 특성을 반영한 휴리스틱을 이용한다.

• Journal of Broadcast Engineering
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• v.13 no.6
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• pp.915-929
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• 2008

In this paper, we propose an algorithm for pixel-based disparity estimation with reliability in the multi-view image. The proposed method estimates an initial disparity map using edge information of an image, and the initial disparity map is used for reducing the search range to estimate the disparity efficiently. Furthermore, disparity-mismatch on object boundaries and textureless-regions get reduced by adaptive block size. We generated intermediate-view images to evaluate the estimated disparity. Test results show that the proposed algorithm obtained $0.1{\sim}1.2dB$ enhanced PSNR(peak signal to noise ratio) compared to conventional block-based and pixel-based disparity estimation methods.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.11
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• pp.95-101
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• 1999

In this paper, we propose an adaptive method of tracking multiple moving objects using contour and features in surrounding conditions. We use an adaptive background model for robust processing in surrounding conditions. Object segmentation model detects pixels thresholded from local difference image between background and current image and extracts connected regions. Data association problem is solved by using feature extraction and object recognition model in searching window. We use Kalman filters for real-time tracking. The results of simulation show that the proposed method is good for tracking multiple moving objects in highway image sequences.