• Journal of Navigation and Port Research
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• v.28 no.3
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• pp.233-238
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• 2004

Comer point is a very important information to a pattern recognition of image processing. And so, many researchers develope various detecting comer point algoritms. But, there are some problems to get comer points by 8 directional chain code when the degree of edge line is not integer multiplication of 45 degree. So, we propose a new algorithm which is combined with morphology and human visual conception for optimal comer points without the above defects. We get a good simulation result by this proposed algorithm Ana so, we think this algorithm is very useful to FA(factory automation} and ship's radar system to know some coastal area from its image.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.171-178
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• 2007

유비쿼터스 컴퓨팅 환경은 오늘날 인간생활 행태의 변화뿐만 아니라 미래건축 공간에도 큰 변화를 가져오고 있다. 그 중에서도 인간의 가장 기본적인 생활환경인 주거 공간의 변화는 빠르게 이루어지고 있다. 지능형 홈, 사이버 아파트 등의 새로운 미래주거 공간이 나타나고 홈네트워크 시스템을 이용한 다양한 유비쿼터스 서비스가 적용되고 있다. 그러나 거주자를 위한 유비쿼터스 서비스가 공간에 적절히 적용되지 않는 사례가 발생하고 있고 수요자 요구와 관련 없이 서비스가 설계되어 있어 효율성이 떨어지는 문제점도 나타나고 있다. 이는 현재의 홈네트워크가 IT 업계가 제공한 솔루션과 기기 중심으로 서비스가 개발되고, 공급자 위주의 기능의 편리성을 위주로 제공되고 있기 때문이며, 주택을 잘 알고 있는 건설인과의 협업이나 최종 사용자의 기호가 고려되고 있지 않기 때문이다. 더욱 중요한 것은 초기 디자인 단계에서 이러한 문제점들이 수용되고 있지 못하고 공간 디자인과 서비스 개발이 유리화되어 선 시공 후, 서비스를 끼워 맞추기식으로 계획하고 있기 때문이다. 본 연구는 서비스 개발의 관점에서 접근하여 공동 주택의 초기 디자인 단계에서 수요자가 원하는 서비스를 공간에 적용하여 부합되는지를 살펴보고, 이에 따라 적절한 미래공간을 디자인 할 수 있도록 하기 위하여 공간정보 데이터베이스를 기반으로 한 공동주택 유비쿼터스 서비스 개발을 위한 기초 연구에 그 목적을 둔다.

• ETRI Journal
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• v.10 no.4
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• pp.99-117
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• 1988

This paper has two main purposes, One is a scientific theory for the Hangul writing system. It is a mathematical model which is formulated a logical characteristics involved in the compositionality principle of Hun Min Jung Um[6], and is based on the traditional scientific methodology and theory. The other is an engineering model for the Hangul writing system. It has proven that the model is more theoretical and practical that the conventional models called Hangul automata. This paper also shows the reasons why Korean has a great national pride in Hangul[3]. Consequently, we suggest that Hangul writing system has a potential capability as an ultimate human interface connecting human, computer and information.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2006.11a
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• pp.421-424
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• 2006

종래의 개발은 양면성을 가지고 있다. 하나는 개발로 인한 경제적 효율성과 편리성 부분이고, 다른 하나는 그러한 개발로 인한 자연훼손 및 생태계 파괴이다. 이로 인해 개발과 보전은 양립할 수 없는 상반적인 개념으로 받아들여져 왔고, 개발론과 보전론의 대립적 구도가 지속되어 왔다. 우리나라는 국토의 65% 이상이 산지이기 때문에 산지의 부분적 개발은 피할 수 없는 사회적 요구인 동시에, 산지는 자연생태계의 보고로서 생태계 보전이 필수적인 지역이다. 이러한 산지 개발과 보전에 대한 상반적 이해를 통합하여 자연과 인간의 공생체계를 갖추기 위해서는 인간중심의 사고에서 탈피하여 사람과 생태계 그리고 자연을 하나로 보는 총체적인 측면에서 접근하는 새로운 패러다임이 설정되어야 한다. 본 연구에서는 산지의 정량적인 가치를 평가하기 위해 시 공간적으로 다양한 인자들에 대해 시스템적인 관점에서 그 중요성을 고려하고자 하는 에머지 개념을 통해 산지 본래의 가치를 평가하였다. 에머지 개념은 그 동안 생태계가치평가, 개발사업의 편익-비용평가, 환경수용력 평가, 개발대안 평가, 환경계정, 환경훼손 소송관련 비용 평가 등에 적용되었다. 이러한 에머지 개념을 이용한 평가 방법을 통한 의사결정이 이루어지면 산지뿐만이 아닌 생태계의 지속가능한 이용을 실현하기 위한 적절한 정책의 선택과 이의 이행 실효성을 높일 수 있을 것으로 기대되며, 자연환경 가치의 정량적 평가를 통해서 우리는 한층 더 자연환경 및 자원의 다원적 기능에 대한 자각을 할 수 있을 것으로 판단된다.

• Korean Journal of Cognitive Science
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• v.15 no.4
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• pp.61-66
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• 2004

I think constructivism can be considered as the new count proposal for understanding human to Cartesian rationalism. Constructivism has the common area not only with recent results of evolutionary biology, evolutionary psychology. brain science, system theory, and complex adaptive system but also with recent trends of humanities, and social science. In artificial intelligence, the studies which can be considered as constructivistic methods is going on. In this paper, from a constructivistic pint of view, to broaden the concept of intelligence in artificial intelligenve, I will examine constructivistic methodologies to intelligent machine and look about the artificial intelligence techniques which are constructivistic. Throughout such a discussion I want to promote the integral understanding of various kinds of mind theories and techniques, and pave the way of general intelligence in artificial intelligence.

• Korean Journal of Cognitive Science
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• v.14 no.1
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• pp.1-9
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• 2003

In implicit learning tasks, human participants learn grammatical letter strings better than random letter strings. After learning grammatical letter strings, participants were able to judge the grammaticality of new letter strings that they have never seen before. EPAM (Elementary Perceiver and Memorizer) IV, a rote learner without any rule abstraction mechanism, was used to simulate these results. The results showed that EPAM IV with a within-item chunking function was able to learn grammatical letter strings better than random letter strings and discriminate grammatical letter strings from non-grammatical letter strings. The success of EPAM IV in simulating human performance strongly indicated that recognition memory based on chunking plays a critical role in implicit learning.

• Science of Emotion and Sensibility
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• v.6 no.1
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• pp.1-10
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• 2003

Information gathered through experience transforms into knowledge and such knowledge becomes a foundation for intuitive decisions. Based on such background, the following study investigates intuitive decision making on basic elements needed for design concepts and visual conceptualizations. The study consist two phases. first, 12 structural elements of a digital camera and relation between each elements were arranged intuitively on a board. Next, sketches were generated with relationship of structural elements in mind. As a result of the study, concept with intuitive decisions effect structural thinking, various developments, specific operation methods , and sketch expressions. However, study also revealed that the freedom of human emotions don't accord with the qualification map.

• The Journal of Natural Sciences
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• v.7
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• pp.67-73
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• 1995

In this paper, a new texture segmentation-based image coding technique which performs segmentation based on properties of the human visual system (HVS) is presented. This method solves the problems of a segmentation-based image coding technique with constant segments by proposing a methodology for segmenting an image into texturally homogeneous regions with respect to the degree of roughness as perceived by the HVS. The segmentation is accomplished by thresholding the fractal dimension so that textural regions are classified into three texture classes; perceived constant intensity, smooth texture, and rough texture. It is very important to determine the proper block size for estimating the fractal dimension. Good quality reconstructed images are obtained with about 0.1 to 0.25 bit per pixel (bpp) for many different types of imagery.

• Spatial Information Research
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• v.15 no.3
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• pp.311-322
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• 2007

Geovisual analytics is the new research area that looks fur the way to enable a truly synergetic work of human and visualization tool in analyzing spatio-temporal data. The research challenge for geovisual analytics is developing new geovisualization tools and enhancing human capabilities to analyse, envision, and reason a lot of spatio-temporal changes. With this research area, geovisual analytics is expected to be a new methodology for developing spatial decision support tools. This research is to integrate T scatter plot with computational method to classify the several patterns of the regional fright generation in Korea. The result of this work shows the capabilities provided by geovisual analytics to support spatial decision making.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.4
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• pp.500-505
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• 2007

Current humanoid robot technology has a problem of lacking opened methodology about mechanisms of analysis, design, implementation, and integration for robot development but is focused only on manufacture robot and implementation of technology. In this paper, to overcome problems of humanoid robots that have been shown since and for construction of new structure which satisfy the concept of opening, networking, and modularization that is the development direction of future robot, we proposed morphological and neurological model of human arm and design method of humanoid robot arm based on the each joint design and kinematics model.