• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.819-828
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• 2007

In this paper, we propose a topic maps matching and merging approach based on the syntactic or semantic characteristics and constraints of the topic maps. Previous schema matching approaches have been developed to enhance effectiveness and generality of matching techniques. However they are inefficient because the approaches should transform input ontologies into graphs and take into account all the nodes and edges of the graphs, which ended up requiring a great amount of processing time. Now, standard languages for developing ontologies are RDF/OWL and Topic Maps. In this paper, we propose an enhanced version of matching and merging technique based on topic partitioning, several matching operations and merging conflict detection.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.710-717
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• 2009

The researchers and planners are using patent/paper map system to analyze the research trend, but we can't use the existing analysis system because of the specialty of korean traditional medicine. Thus we deduced the analysis models from preceding research and system and designed 14 analysis models which are composed of basic, detail and complex models. We verified the analysis models using papers which has 'meridian' keyword among 16,000 papers stored in OASIS. From the analysis result, we know that the meridian study has just entered in the maturity and is closely related with other parts of korean traditional medicine as physiology etc. And we verified the proposed analysis model from the comparison with the analysis models of preceding systems. The analysis model will be used for the development of Korean traditional medicine paper map analysis service scenario and system.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10a
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• pp.7-10
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• 2001

웹의 특징인 조작의 간편함, 뛰어난 접근성 등으로 인해 웹을 통한 지리정보의 검색, 접근을 위한 웹 맵 서비스의 요구가 증대되고 있다. 지리정보 분야의 대표적인 컨소시움인 OGC 를 통해서 웹 맵 서비스를 위한 표준 인터페이스가 정의됨에 따라 향후 웹을 통한 지리정보의 공유가 활발히 진행될 것으로 예상된다. 그런데, 현재 정의된 웹 맵 서비스에는 3 차원 맵 서비스를 고려하고 있지 않다. 왜냐하면, 3 차원 데이터 모델에 따라 구축된 공간 데이터가 거의 없으며, 맵 출력을 위한 출력 요소 정의 언어인 SVG 또는 WebCGM 등이 3 차원 기하를 표현할 수 없기 때문이다. 이 논문에서는 OCG 의 웹 맵 서비스를 위한 표준 인터페이스를 준수하면서, 최소한의 확장을 통해 3 차원 맵 서비스를 지원하기 위한 웹 맵 서비스 컴포넌트를 제안한다. 3 차원 맵은 2 차원 공간 데이터와 속성 정보를 이용하여 생성하므로, 3 차원 공간 데이터베이스 구축을 위한 추가의 비용이 발생하지 않는다.

• Journal of Korea Multimedia Society
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• v.6 no.7
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• pp.1286-1301
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• 2003

This paper introduces segmentation based environment modeling method and integration method using multiple environment map for constructing the realtime image-based panoramic navigation system. The segmentation-based environment modeling method is easy to implement on the environment map and can be used for environment modeling by extracting the depth value by the segmentation of the environment map. However, an environment model that is constructed using a single environment map has the problem of a blurring effect caused by the fixed resolution, and the stretching effect of the 3D model caused when information that does not exist on the environment map occurs due to the occlusion. In this paper, we suggest environment models integration method using multiple environment map to resolve the above problem. This method can express parallax effect and expand the environment model to express wide range of environment. The segmentation-based environment modeling method using multiple environment map can build a detail model with optimal resolution.

• Journal of Broadcast Engineering
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• v.20 no.4
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• pp.557-567
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• 2015

Over the past decades, a variety of spatial saliency methods have been introduced. Recently, motion saliency has gained much interests, where motion data estimated from an image sequence are utilized. In general, motion saliency requires reliable motion data as well as image segmentation for producing satisfactory saliency map which poses difficulty in most natural images. To overcome this, we propose a motion-based saliency generation that enhances the spatial saliency based on the combination of spatial and motion saliencies as well as motion complexity without the consideration of complex motion classification and image segmentation. Further, an affinity model is integrated for the purpose of connecting close-by pixels with different colors and obtaining a similar saliency. In experiment, we performed the proposed method on eleven test sets. From the objective performance evaluation, we validated that the proposed method produces better result than spatial saliency based on objective evaluation as well as ROC test.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10b
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• pp.131-136
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• 2007

토픽맵은 RDF에 기반을 둔 OWL과 많은 유사점을 갖지만, 양자는 역사적, 기술적, 의도하는 목적에서 차이가 있다. 토픽맵은 ISO 표준이지만, OWL은 W3C의 온톨로지 개발 표준언어로서 양자는 각각의 제약언어, 데이터 모델, 그리고 일련의 구문들을 별개로 갖는다. 그러나 토픽맵과 OWL 양자는 지식을 표현하는 온톨로지 언어라는 공통적 특성을 가지며, 술어로직에 기반을 두고 있고, XML포맷이기 때문에 상호간에 매핑이 가능하다. 논문의 목적은 토픽맵과 OWL의 메타모델로부터 온톨로지 정보자원의 공유, 교환, 통합에 접근시킨다. 따라서 각각의 메타모델에서 주요 요소를 추출하고, 이들의 의미적인 측면과 구조적인 측면의 요소들의 손실이 발생되지 않도록 매핑을 수행한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.35-36
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• 2022

본 논문은 딥러닝 사람 자세 추정 모델이 사람의 관절 키포인트를 예측하는데 관절의 2차원 면적에 의해 키포인트별 𝜎, 즉, 표준 편차를 가지는 가우시안 커널(Gaussian Kernel)을 예측하는 방법을 제안한다. 각 관절 키포인트에 대해 다른 𝜎를 가지는 정답 히트맵(Ground Truth Heatmap)과 제안한 Gaussian Mixture Block를 모델에 추가해서 관절의 크기를 맞는 히트맵을 예측한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.527-529
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• 2003

지식관리시스템의 지식 분류 체계가 지식맵이며 이 지식맵을 이용하여 지식 서비스가 제공된다. 그러나 현재의 지식맵은 비표준적인 지식 네트웍 구조와 정적인 분류체계라는 문제를 가진다. 문제 해결 방법은 지식맵에 온틀로지를 적용해서 표준성, 의미 기반의 지식 네트웍 구조. 동적인 지식분류, 자동화된 지식서비스를 제공하는 새로운 개념의 지식맵을 구현하는 것이다. 본 논문에서는 토픽맵 모델을 기반으로 온톨로지를 생성, 저장, 검색하는 효율적인 온톨로지 관리 시스템인 K-Box를 구현하였다. K-Box는 온톨로지 관리를 위한 기본적인 기능들을 제공하며, 이질적인 저장소들을 일관된 인터페이스로 접근할 수 있도록 함으로써 저장 장치 독립성을 제공하였다. 또한, 저장 관리되는 모든 온톨로지들의 무결성을 보장하기 위한 새로운 기법과 사용자 관심을 중심으로 한 온톨로지 검색 지원을 위한 방법을 제안하였다. 마지막으로, 우리는 여러 온톨로지들을 적용해 봄으로써 K-Box 시스템이 효율적으로 사용 가능함을 확인하였다.

• Journal of Korea Multimedia Society
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• v.9 no.1
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• pp.109-118
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• 2006

In this paper, we suggest the environment based disparity method that calculate the depth value of the objects from environment maps. This method using the disparity of the environment map can calculate the depth value from two environment map that acquire at different viewpoint. This method can decide the visibility of the object whether it is occluded others or not. Also, we can analogize the depth value of the object that does not relate the reference plane(in case of being in the air) and make three dimensional environment model using the proposed method

• Journal of the Korean Geographical Society
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• v.39 no.5 s.104
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• pp.804-818
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• 2004

As spatial data resources become more abundant, the potential for conflict among them increases. Those conflicts can exist between two or many spatial datasets covering the same area and categories. Therefore, it becomes increasingly important to be able to effectively relate these spatial data sources with others then create new spatial datasets with matching geometry and topology. One extensive spatial dataset is US Census Bureau's TIGER file, which includes census tracts, block groups, and blocks. At present, however, census maps often carry information that conflicts with municipally-maintained detailed spatial information. Therefore, in order to fully utilize census maps and their valuable demographic and economic information, the locational information of the census maps must be reconciled with the more accurate municipally-maintained reference maps and imagery. This paper formulates a conceptual framework and two map models of map conflation to make geometrically and topologically consistent source maps according to the reference maps. The first model is based on the cell model of map in which a map is a cell complex consisting of 0-cells, 1-cells, and 2-cells. The second map model is based on a different set of primitive objects that remain homeomorphic even after map generalization. A new hierarchical based map conflation is also presented to be incorporated with physical, logical, and mathematical boundary and to reduce the complexity and computational load. Map conflation principles with iteration are formulated and census maps are used as a conflation example. They consist of attribute embedding, find meaning node, cartographic 0-cell match, cartographic 1-cell match, and map transformation.