• Spatial Information Research
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• 제17권3호
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• pp.277-285
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• 2009

효율적으로 데이터를 관리, 분석, 유지하기 위해서는 각 시스템의 목적에 맞는 데이터 모델이 필요하다. 데이터 모델에 따라 해당하는 활용 시스템의 활용 범위가 결정되며, 각각의 활용 시스템에 맞는 데이터 모델이 개발되고 있는 상황이다. GIS 분야에서도 각 GIS 응용시스템에 맞는 다양한 공간정보 데이터 모델들이 개발 되었으며, 제공하고자 하는 서비스에 따라 공간정보 데이터 모델이 만들어지고 있다. 어플리케이션의 효율적인 활용을 위해서는 공간정보 데이터의 정확성과 최신성등이 중요하지만 특히 공간정보 데이터 구조를 만드는 데이터 모델링이 중요하다. 그러므로 본 연구는 1)국내외 공간정보 데이터 모델의 공간정보를 표현하는데 있어 기하학적 모델, 위상학적 모델과 3차원 공간정보 가시화 방법 등의 항목별로 비교하고 2)각각의 데이터 구조를 분석하여 데이터 모델의 특징을 비교한다. 마지막으로 3)공간정보 데이터 모델을 선정하여 정량적인 분석을 통해 데이터 구조에 따른 특징을 분석한다.

• 국제초고층학회논문집
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• 제10권1호
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• pp.9-16
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• 2021

Being the origin of Shanghai City, the Old Town presents a high-density spatial texture, a characteristic of local living conditions in the Shanghai context. However, the Old Town is faced with competing interests: the preservation of historic urban features and the improvement of contemporary living conditions. In view of its high density and poor living conditions, this paper focuses on two types of blocks for urban design research, and proposes two spatial regeneration strategies, as "overlapping lilong" and "texture continuity". It is expected to inherit the regional characteristics of urban space, improve the plot ratio and supplement the mix of functions, through the translation of the traditional lilong typology and the reproduction of historical streets and alleys, so as to provide operable spatial strategies and design methods for the organic renewal of Old Town and other historic districts.

• 한국콘텐츠학회논문지
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• 제6권1호
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• pp.41-53
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• 2006

본 논문에서는 동영상에서 시간과 공간특징을 선택적으로 사용한 ROI(Region of Interest) 탐지 시스템을 소개한다. 동영상에서 명암도, 색상 등과 같은 공간특징을 사용한 공간상의 현저도 뿐만 아니라 시간상의 현저도도 얻기 위하여 모션이라는 시간특징을 사용하였다. 본 시스템에서는 동영상이 입력되면 공간특징 및 시간특징을 탐지하고, 이 특징과 관련된 기존의 심리학적 연구결과를 바탕으로 이들을 분석한다. 이렇게 분석된 결과는 하나로 통합되어 이를 기반으로 ROI 영역을 탐지한다. 일반적으로 비디오 영상에서 움직이는 개체나 영역은 같은 영상 안의 다른 개체나 영역보다 먼저 주의가 가게 되므로, 본 시스템에서는 분석된 결과를 통합하는 데 있어 시간특징인 모션을 공간특징보다 우선하여 통합한다. 시스템의 성능 분석을 위하여 동일한 실험영상을 가지고 인간을 대상으로 한 심리학적 실험을 우선 수행하였으며, 이 결과를 기준으로 본 시스템에서 얻어진 결과를 비교하여 모형의 성능을 분석하였다. 실험결과 공간특징만을 사용했을 때 보다 시간특징을 같이 사용함으로써 시스템의 성능을 보다 향상시킬 수 있었다.

• Journal of Computing Science and Engineering
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• 제8권2호
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• pp.65-77
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• 2014

To address the problem of multi-target retrieval (MTR) of remote sensing images, this study proposes a new object-level feature representation model. The model provides an enhanced application image representation that improves the efficiency of MTR. Generating the model in our scheme includes processes, such as object-oriented image segmentation, feature parameter calculation, and symbolic image database construction. The proposed model uses the spatial representation method of the extended nine-direction lower-triangular (9DLT) matrix to combine spatial relationships among objects, and organizes the image features according to MPEG-7 standards. A similarity metric method is proposed that improves the precision of similarity retrieval. Our method provides a trade-off strategy that supports flexible matching on the target features, or the spatial relationship between the query target and the image database. We implement this retrieval framework on a dataset of remote sensing images. Experimental results show that the proposed model achieves competitive and high-retrieval precision.

• 한국농촌건축학회논문집
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• 제2권2호
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• pp.1-10
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• 2000

The traditional farm houses in Yongdong area of Kangwon province have a different spatial structure from those of the other areas because of the characteristics of the climatic, geographic and sociocultural circumstances between the Taebaek mountains and the East Sea. So the purpose of this study is aimed at grasping how the spatial features of traditional farm houses in Yongdong area have been different in each regional circle. The plans of traditional farm houses of this region which are four types - ㅡ typed house without floor, ㅡ typed house with floor, ㄱ typed house without floor, ㄱ typed house with floor - show very similar but different space arrangements.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.631-633
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• 2003

Invisible networks have hidden bits flows from human being and become the periphery in the Internet overload; technologies become invisible and everywhere computing. The appearance of the calm environment requires a new relationship between human being and machines and geographic features: a paradigm shift. However no one says what next steps to those environments on details are, a reason why lots of people focus on the endeavors. In this paper, we touch the geographic features on ubiquitous environments and research the transition step of GIS mobile applications in order to achieve a natural integration of connectivity, capability and functionality.

• 제어로봇시스템학회논문지
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• 제15권4호
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• pp.372-378
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• 2009

For effective mobility control of unmanned ground vehicles in outdoor off-road environments, terrain cover classification technology using passive sensors is vital. This paper presents a novel method far terrain classification based on color and texture information of off-road images. It uses a neural network classifier and wavelet features. We exploit the wavelet mean and energy features extracted from multi-channel wavelet transformed images and also utilize the terrain class spatial coordinates of images to include additional features. By comparing the classification performance according to applied features, the experimental results show that the proposed algorithm has a promising result and potential possibilities for autonomous navigation.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2004년도 추계학술발표대회 논문집
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• pp.72-75
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• 2004

The focus of this study was on spatial and interior characterization of recently developed and marketed apartments. The house showrooms in the Seoul Metropolitan Areas that have recently been open were selected and analyzed. The floor plans and relevant materials via website for each showroom provided by major housing development companies were examined, and site visits were made. The finding of this study indicated that high-tech systems were applied to heighten security and safety. It was revealed that various exterior design features were adopted and emphasized, so they affected spatial composition and utilization. Another finding was the use of environmentally friendly materials and features as indoor air quality became an emerging concern. Additionally, it was noticed that features in relation to open housing and interior finishes became more customized to meet different needs of consumers. Therefore, the characteristics of recent house showrooms were summarized into high-tech, environmental friendliness, and customization.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.2053-2067
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• 2023

This paper proposes two video quality assessment methods based on deep neural network. (i)The first method uses the IQF-CNN (convolution neural network based on image quality features) to build image quality assessment method. The LIVE image database is used to test this method, the experiment show that it is effective. Therefore, this method is extended to the video quality assessment. At first every image frame of video is predicted, next the relationship between different image frames are analyzed by the hysteresis function and different window function to improve the accuracy of video quality assessment. (ii)The second method proposes a video quality assessment method based on convolution neural network (CNN) and gated circular unit network (GRU). First, the spatial features of video frames are extracted using CNN network, next the temporal features of the video frame using GRU network. Finally the extracted temporal and spatial features are analyzed by full connection layer of CNN network to obtain the video quality assessment score. All the above proposed methods are verified on the video databases, and compared with other methods.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.142-145
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• 2002

This paper describes a omni-directionally speaker tracking system for mobile robot interface in real environment. Its purpose is to detect a robust 360-degree sound source and to recognize voice command at a long distance(60-300cm). We consider spatial features, the relation of position and interaural time differences, and realize speaker tracking system using fuzzy inference process based on inference rules generated by its spatial features.