• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.381-384
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• 2011

본 논문은 사용자 및 동적환경의 변화를 파악하고 분석된 정보를 바탕으로 최적화된 경로를 제공하기 위한 시스템을 멀티에이전트를 이용하여 해결하고자 하였다. 멀티에이전트를 통해 설정된 목표를 찾아가는 먹이추적 문제에 적용하였고 현실 세계와 흡사한 무한 공간 환경에서 알고리즘의 성능을 실험하였다. 적용된 환경의 모델은 순환구조(circular)형 격자 공간이라는 새로운 실험 공간으로 방향 벡터 함수 알고리즘을 통해 새롭게 멀티에이전트의 목표를 획득하기 위한 해법이다. 기존의 연구와 비교하여 먹이의 효율적 포획, 에이전트간의 충돌문제 해결에 대한 새로운 해법을 제시할 수 있었다.

• The Mathematical Education
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• v.26 no.1
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• pp.21-30
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• 1987

• Journal of Korea Spatial Information System Society
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• v.11 no.2
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• pp.89-98
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• 2009

As data stream is entered into system continuously and the memory space is limited, the data exceeding the memory size cannot be processed. In order to solve the problem, load shedding methods which drop a part of data to prevent exceeding the storage space have been researched. Generally, a traditional load shedding method uses random sampling with optimized rate according to data deviation. The method samples data not to distinguish those used in spatial query because the method uses only a random sampling with optimized rate according to data deviation. Therefore, the accuracy of query was reduced in u-GIS environment including spatial query. In this paper, we researched a new load shedding method improving accuracy of the query in u-GIS environment which runs spatial query and aspatial query simultaneously. The method uses a new sampling method that samples data having low probability used in query. Therefore proposed method improves spatial query accuracy and query processing speed as applying spatial filtering operation to sampling operator.

• Spatial Information Research
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• v.1 no.1
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• pp.63-72
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• 1993

The purpose of this research is to determine how the present use of Geographic Information Systems (GISs) can be improved for ill-structured problems in planning and design, While information-oriented GIS technology has proven useful for routine and administrative problems, it is not yet capable of providing information and knowledge interactively within a problem solving process that can be characterized as "ill-structured." This suggests that GIS technology must be embedded wi thin a large problem solving process for ill-structured problems. The hypothesis of this research is that implementation of conceptualization-oriented Spatial Decision Support Systems(SDSSs) will significantly improve the use of GIS technology for ill-structured problems.

• Journal of The Korean Association For Science Education
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• v.41 no.5
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• pp.371-390
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• 2021

The purpose of this study is to develop a neuropsychological model for the spatial ability factor and to divide the brain active area involved in the light & shadow problem solving process into the domain-general ability and the domain-specific ability based on the neuropsychological model. Twenty-four male college students participated in the study to measure the synchronized eye movement and electroencephalograms (EEG) while they performed the spatial ability test and the light & shadow tasks. Neuropsychological model for the spatial ability factor and light & shadow problem solving process was developed by integrating the measurements of the participants' eye movements, brain activity areas, and the interview findings regarding their thoughts and strategies. The results of this study are as follows; first, the spatial visualization and mental rotation factors mainly required activation of the parietal lobe, and the spatial orientation factor required activation of the frontal lobe. Second, in the light & shadow problem solving process, participants use both their spatial ability as a domain-general thought, and the application of scientific principles as a domain-specific thought. The brain activity patterns resulting from a participants' inferring the shadow by parallel light source and inferring the shadow when the direction of the light changed were similar to the neuropsychological model for the spatial visualization factor. The brain activity pattern from inferring an object from its shadow by light from multiple directions was similar to the neuropsychological model for the spatial orientation factor. The brain activity pattern from inferring a shadow with a point source of light was similar to the neuropsychological model for the spatial visualization factor. In addition, when solving the light & shadow tasks, the brain's middle temporal gyrus, precentral gyrus, inferior frontal gyrus, middle frontal gyrus were additionally activated, which are responsible for deductive reasoning, working memory, and planning for action.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.159-163
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• 2008

현재 우리나라 국토공간자료의 이용은 자료에 대한 낮은 접근성, 분석방법의 일관성 유지의 곤란, 결과의 미공유에 따른 중복작업, 자료의 분산에 따른 즉각적인 의사결정의 지연 등의 문제를 지니고 있다. 이를 위하여 다양한 국토모니터링 정보를 통합, 처리하여 효율적으로 제공하는 시스템 개발이 요구되고 있다. 이 연구에서는 현재까지 구축된 국토모니터링과 관련된 공간정보시스템의 사례를 조사하고, 특성을 정리하여 국토모니터링을 위한 통합된 공간정보시스템이 갖추어야할 내용과 설계전략을 제시하였다.

• The Journal of the Acoustical Society of Korea
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• v.31 no.5
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• pp.332-339
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• 2012

Beamspace transform algorithm transforms spatial-domain data - such as x, y, z dimension - into incidence-angle-domain data, which is called beamspace-domain data. The beamspace transform method is generally used in source localization and tracking, and adaptive beamforming problem. When the beamspace transform method is used in multichannel audio source separation, the inverse beamspace transform is also important because the source image have to be reconstructed. This paper studies the beamspace transform and inverse transform algorithms for multichannel audio source separation system, especially for the beamspace-domain multichannel NMF algorithm.

• Communications of the Korean Mathematical Society
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• v.21 no.4
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• pp.595-612
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• 2006

선형보존자 문제들은 행렬들로 구성되는 벡터공간들 사이에서 어떤 함수, 부분집합, 관계 등을 불변하게 옮기는 선형연산자의 형태를 규명하고 그와 동치가 되는 조건들을 찾는 연구주제들을 말한다. 이 논문에서는 선형보존자 문제에 대한 전반적인 연구문제들과 연구의 동기와 원인들, 활발한 연구주제들, 연구방법들 및 앞으로의 연구방향에 대하여 요약한다.

• Journal of the Korean School Mathematics Society
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• v.13 no.4
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• pp.655-678
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• 2010

In the elementary mathematics, geometric education emphasize spatial sense and understandings of figures through development of intuitions in space. Especially space visualization is one of the factors which try conclusion with geometric problem solving. But studies about space visualization are limited to middle school geometric education, studies in elementary level haven't been done until now. Namely, discussions about elementary students' space visualization process and methods in plane or space figures is deficient in relation to geometric problem solving. This paper examines these aspects, especially in relation to plane and space problem solving in elementary levels. First, we investigate visualization methods for plane problem solving and space problem solving respectively, and analyse in diagram form how progress understanding of figures and visualization process. Next, we derive constituent factor on visualization process, and make a check errors which represented by difficulties in visualization process. Through these analysis, this paper aims at deriving an influence of visualization on geometric problem solving in the elementary mathematics.

• Journal of the Korean Geographical Society
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• v.47 no.4
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• pp.606-624
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• 2012

The main objective of this paper is to provide an adequate and comprehensive review of what has been done in South Korea in the field of geospatial analysis and modeling. This review focuses on spatial data analysis and spatial statistics, spatial optimization, and geosimulation among various aspects of the field. It is recognized that geospatial analysis and modeling in South Korea got through the initial stage during the 1990s when computer and analytical cartography and GIS were introduced, moved to the growth stage during the first decade of the $21^{st}$ century when there was a surge of relevant researches, and now is heading for its maturity stage. In spatial data analysis and spatial statistics, various topics have been addressed for spatial point pattern data, areal data, geostatistical data, and spatial interaction data. In spatial optimization, modeling and applications related to facility location problems, districting problems, and routing problems have been mostly researched. Finally, in geosimulation, while most of research has focused on cellular automata, studies on agent-based model and simulation are in beginning stage. Among all these works, some have fostered methodological advances beyond simple applications of the standard techniques.