• Spatial Information Research
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• v.19 no.2
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• pp.71-76
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• 2011

In this paper, for using emerging patterns to define and analyze the significant difference of safe and non-safe power load lines, and identify which line is potentially non-safe, we proposed an incremental TFP-tree algorithm for mining emerging patterns that can search efficiently within limitation of memory. Especially, the concept of pre-infrequent patterns pruning and use of two different minimum supports, made the algorithm possible to mine most emerging patterns and handle the problem of mining from incrementally increased, large size of data sets such as power consumption data.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.63-65
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• 2007

본 연구에서는 비디오 영상데이터로부터 인간의 행동패턴의 인식기술 및 상황인식 기법을 소개하고 이를 활용한 실용적 응용으로서 지능형 감시시스템을 제안한다. 순차적 영상신호에서 형태기반의 정적 특징과 목표물의 움직임 요소를 측정한 동적 특징을 결합한 형태의 특징 표현 및 추출기법과 행동패턴 및 상황패턴에 대한 인식 모델을 제시하고 구현한다. 모듈구조의 시스템에서 영상처리 모듈과 패턴인식 모듈은 특징추출 및 인식과정을 수행하며, 감시영상에 대한 상황판단 기능은 데이터베이스 모듈과 연동하여 효과적인 검색기능과 경보기능 등을 지원한다. 이러한 기능은 기존의 시스템에서 운영자의 지속적인 감시작업과 상황판단 작업을 보조 또는 대행하여 수행할 수 있을 뿐만 아니라 데이터저장 공간을 획기적으로 줄이고 부수적으로 효율적인 영상의 조회기능 및 추적기능 등의 유용한 인터페이스를 지원한다.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.10
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• pp.603-609
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• 2004

Procedural texture has many advantages that its representation is extremely compact and unfixed in resolution. However, it can be difficult for an end-user having no programming skill to build and debug. This paper presents a new interactive design system for procedural texture generation. The user's interactive design process based on multi-layer operations is represented with a graph structure, which consists of the data node, the operation and the output. Since our system generates automatically a shading language, a user who is not acquainted with implicit concepts can make procedural texturing by using an intuitive and flexible interface. Simulation results showed that the proposed method can make a variety of texture patterns efficiently.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.308-317
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• 2008

The objects real time rendered in the 3D cyber space can interact with each others according to the events which are happened when satisfying some conditions. But to representing the behaviors with these interactions, too many event conditions are considered because each behavior pattern and event must be corresponded in a one-to-one ratio. It leads to problems which increase the system complexity. So, in this paper, we try to physical method based on elasticity force for representing more realistic behaviors of AI fish and apply to the deformable multi-detection sensor, so we suggest the new method which can create the various behavior patterns responding to one evasion event.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.173-176
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• 2001

본 논문에서는 저차원 제스처 특징 공간에서 연속적인 인간의 제스처 영상을 계층적 클러스터링을 이용하여 인식할 수 있는 방법에 대해 소개한다. 일반적으로 제스처 공간에서 모델 패턴들과 매칭하기 위해서는 모든 모델 영상과 연속적인 입력영상들간의 거리평가로 인식을 수행하게 된다. 여기서 제안한 방법은 모델영상들을 연속성을 가진 클러스터로 분류하여 입력 영상과 계층적으로 비교할 수 있으며 동작에 관한 구체적 정보를 얻을 수 있다. 이 방법은 매칭 속도와 인식률을 개선하고 인식결과를 학습에 이용할 수 있는 장점이 있다.

• The KIPS Transactions:PartB
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• v.13B no.4 s.107
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• pp.439-448
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• 2006

Previous recognition/clustering algorithms such as Kohonen SOM(Self-Organizing Map), MLP(Multi-Layer Percecptron) and SVM(Support Vector Machine) might not adapt to unexpected input pattern. And it's recognition rate depends highly on the complexity of own training patterns. We could make up for and improve the weak points with lowering complexity of original problem without losing original characteristics. There are so many ways to lower complexity of the problem, and we chose a kernel concepts as an approach to do it. In this paper, using a kernel concepts, original data are mapped to hyper-dimension space which is near infinite dimension. Therefore, transferred data into the hyper-dimension are distributed spasely rather than originally distributed so as to guarantee the rate to be risen. Estimating ratio of recognition is based on a new similarity-probing and learning method that are proposed in this paper. Using CEDAR DB which data is written in cursive letters, 0 to 9, we compare a recognition/clustering performance of kSOM that is proposed in this paper with previous SOM.

• Spatial Information Research
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• v.19 no.3
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• pp.63-72
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• 2011

Urban space structure tends to have a significant change in accordance with maintenance of urban infrastructure such as a traffic route. For this reason, quantitative analysis has been needed to establish spatial distribution and location patterns by considering change of both road accessibility and urban infrastructure level, which can have the most pervasive influence in urban development process. Therefore, this paper aims to analyze spatio-temporal urban morphology through considering distribution patterns of road among transportation infrastructures, population, and spatial structure of metropolitan areas, focusing on Seoul where population growth and the size of urban area have been dramatically increased. For this, we firstly developed and constructed time-series GIS database by using satellite images and topographic maps of the last 70 years to analyze variables which affect urban growth and transportation. In particular, we analyzed the transform of the system of the street by Space Syntax which is able to grasp hierarchical spatial structure through visibility of space and spatial cognition in terms of accessibility. What's more, we analyzed and visualized the relationship urban morphology and road according the regions of Seoul through IPA(Importance Performance Analysis). In terms of the integration land-use and transportation, Space Syntax approach is expected to contribute to efficient urban planning through understanding the influence which various transportation phenomena has an effect on urban development patterns.

• Korean Journal of Optics and Photonics
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• v.14 no.3
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• pp.244-248
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• 2003

When confocal lenses are applied to a digital holography system, the interference pattern of a larger object size can be recorded on CCD. The angle of incoming light to the CCD can be reduced by the ratio of the two focal lengths of confocal lenses. The recordable spatial frequency is limited by the unit cell size of the CCD. Therefore the spatial frequency of interference on the CCD is lowered by reduction of the incoming light angle. By using confocal lenses , another merit can be achieved that the area of the zero order diffraction is reduced by the square of the ratio of two focal lengths at the numerical reconstruction.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.2
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• pp.73-85
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• 2016

Systematic and efficient forestry management is required because of the long-term low profitability of timber production and forest products. In this situation, non-timber forest products can be the solution to secure stable sources of income for workers in the forestry field. However, the existing studies for non-timber forest products focus on effective production and economic analysis and provide plans for increasing the income and improving the marketing system. Therefore, this research intends to analyze the spatial distribution as well as quantitative concentration of non-timber forest production. To achieve this goal, this study examined the regional concentration and dispersion of non-timber forest production in 2001, 2007, and 2014 using the coefficient of localization(CL) and location quotient(LQ) and investigated the change in spatial distribution using spatial statistics. The production of chestnuts generally showed a concentrated pattern in 2014 based on the outputs of the CL and LQ, but the result of spatial autocorrelation indicated a decrease in the spatial concentration. In addition, astringent persimmon showed more concentration from the output of CL than oak mushroom, but Moran's I suggests the opposite. Therefore, it is necessary to examine the spatial distribution to understand and improve the marketing system and intensify the production of forest products.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.2
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• pp.18-29
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• 2022

The purpose of this study is to examine the spatial characteristics and factors in the occurrence of COVID-19 from January 20 to August 30 of 2020. The exploratory spatial data analysis and spatial econometrics model are used. The spatial unit of analysis is 255 si-gun-gu in Korea. As a result of the analysis, COVID-19 infection did not appear to be a significant factors(host and environment) influencing the emergence of existing new infectious diseases, but there was a relationship between spatially adjacent areas and their occurrence. It also showed a close relationship with the outbreak pattern of group 4 infectious diseases, another type of new infectious disease in Korea. The result of this study shows that COVID-19 is not a new pattern of emerging infectious diseases. It means that the properties of the space where new infectious diseases appear must be continuously managed in order to effectively control new infectious diseases.