• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.158-161
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• 2004

KOMPSAT-2, to be launched in 2005, will be a long awaited addition to the existing high-resolution satellite sensors. The use of download facilities in Europe will greatly increase its capacity without loosing any coverage over Korea. In this paper the concept for an Urban Application Center is presented. It is part of the proposed Regional Application Center which is dedicated to archiving and distributing KOMPSAT-2 images. The Urban Application Center will offer services derived from KOMPSAT-2. Its aim is to promote the use of KOMPSAT-2 data and increase the general awareness and acceptance of satellite data.

• Journal of Electrical Engineering and Technology
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• v.13 no.2
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• pp.961-968
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• 2018

Recently, researches on automatic recognition of human activities have been actively carried out with the emergence of various intelligent systems. Since a large amount of visual data can be secured through Closed Circuit Television, it is required to recognize human behavior in a dynamic situation rather than a static situation. In this paper, we propose new intelligent human activity recognition model using the trajectory information extracted from the video sequence. The proposed model consists of three steps: segmentation and partitioning of trajectory step, feature extraction step, and behavioral learning step. First, the entire trajectory is fuzzy partitioned according to the motion characteristics, and then temporal features and spatial features are extracted. Using the extracted features, four pedestrian behaviors were modeled by decision tree learning algorithm and performance evaluation was performed. The experiments in this paper were conducted using Caviar data sets. Experimental results show that trajectory provides good activity recognition accuracy by extracting instantaneous property and distinctive regional property.

• The Journal of Advanced Prosthodontics
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• v.8 no.2
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• pp.101-109
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• 2016

PURPOSE. To investigate the void parameters within the resin cements used for fiber post cementation by micro-CT (${\mu}CT$) and regional push-out bonding strength. MATERIALS AND METHODS. Twenty-one, single and round shaped roots were enlarged with a low-speed drill following by endodontic treatment. The roots were divided into three groups (n=7) and fiber posts were cemented with Maxcem Elite, Multilink N and Superbond C&B resin cements. Specimens were scanned using ${\mu}CT$ scanner at resolution of $13.7{\mu}m$. The number, area, and volume of voids between dentin and post were evaluated. A method of analysis based on the post segmentation was used, and coronal, middle and apical thirds considered separately. After the ${\mu}CT$ analysis, roots were embedded in epoxy resin and sectioned into 2 mm thick slices (63 sections in total). Push-out testing was performed with universal testing device at 0.5 mm/min cross-head speed. Data were analyzed with Kruskal-Wallis and Mann-Whitney U tests (${\alpha}=.05$). RESULTS. Overall, significant differences between the resin cements and the post level were observed in the void number, area, and volume (P<.05). Super-Bond C&B showed the most void formation ($44.86{\pm}22.71$). Multilink N showed the least void surface ($3.51{\pm}2.24mm^2$) and volume ($0.01{\pm}0.01mm^3$). Regional push-out bond strength of the cements was not different (P>.05). CONCLUSION. ${\mu}CT$ proved to be a powerful non-destructive 3D analysis tool for visualizing the void parameters. Multilink N had the lowest void parameters. When efficiency of all cements was evaluated, direct relationship between the post region and push-out bonding strength was not observed.

• Journal of the Korean Institute of Landscape Architecture
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• v.34 no.6 s.119
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• pp.66-77
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• 2007

This study intends to analyze urban peoples' leisure choice attributes of rural areas from a rural demand perspective. For this purpose, this study investigates regional attributes considered in decision making processes for rural tourism destinations of urban residents using a conjoint model as a stated preference model. Based on literature reviews, two questionnaire surveys were conducted. The first questionnaire survey was performed in 4 cities including Seoul, Daejeon, Suwon and Chuncheon with 408 urban residents. The Second questionnaire survey was performed in 5 cities including Seoul, Chuncheon, Daejeon, Jeonju and Busan with about 1,060 urban residents. The study results suggest that the most important attribute in selecting rural ares for tourism are activity programs and convenience of facility, according to part-worth and vector model. The fitness level of model is 0.986, which is very significant. Among the 5 attribute's levels, the rural residents' kindness, the traditional and the ecological programs and the facilities about sign and lodging are more critical factors than other levels. Utilities of each levels decreases as cost and arrival time increases. Regarding the result of market segmentations, respondents having intention to visit can be divided into 4 group; (1) facility or program oriented type, (2) resident's kindness oriented type, (3) arrival time oriented type, and (4) negatively participant type. The results of leisure choice attributes can provide insightful information for regional planning strategies, such as selection of the type of market segments and the key factor of facility and space planning.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.6
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• pp.748-757
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• 1999

본 논문에서는 차량 영역의 추출을 이용한 효율적인 교통 혼잡도 측정 시스템을 설계하고 구현한다. 차량 영역 정보의 추출은 첫째 영역 분할, 둘째 작은 영역의 제거와 영역의 직사각형화, 셋째 영역의 병합 및 삭제의 단계로 나눌 수 있다. 영역 분할 단계에서는 획득한 도로 영상을 영역 기반 영역 분할에 의해 영역으로 분할한다. 그 다음 영역 분할 후의 영역 정보 중 차량 영역을 추출하는데 영향을 미치지 않는 작은 영역들을 제거하고, 남은 영역들을 직사각형화한다. 마지막으로 차선 별로 남은 영역들을 병합, 삭제함으로써 각 차선마다 차량 영역 정보를 추출할 수 있다. 이러한 방법은 배경 영상과 같은 부가적인 정보를 사용하지 않고 도로 자체 영상만으로 교통 혼잡도를 측정할 수 있으며, 그림자의 영향이 없을 경우 적용할 수 있는 기법이다.Abstract In this paper, we designed and implemented an efficient road congestion analysis system using regional information. To extract vehicle regions from a road image, the system process the image in five steps: segmentation, small region elimination, region rectangularization, region merging and region deletion. First, we segment road image by a threshold value. Then, we eliminate useless small regions to extract vehicle region, and perform region rectangularization. Finally, we extract vehicle region of each lane of the road by region merging and deletion. This method has the advantage of measuring road congestion without additional information such as background images. But this method must be applied to road images without shadow.

• Journal of IKEEE
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• v.27 no.3
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• pp.251-257
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• 2023

In this paper, we propose a dual-structured self-attention method that improves the lack of regional features of the vision transformer's self-attention. Vision Transformers, which are more computationally efficient than convolutional neural networks in object classification, object segmentation, and video image recognition, lack the ability to extract regional features relatively. To solve this problem, many studies are conducted based on Windows or Shift Windows, but these methods weaken the advantages of self-attention-based transformers by increasing computational complexity using multiple levels of encoders. This paper proposes a dual-structure self-attention using self-attention and neighborhood network to improve locality inductive bias compared to the existing method. The neighborhood network for extracting local context information provides a much simpler computational complexity than the window structure. CIFAR-10 and CIFAR-100 were used to compare the performance of the proposed dual-structure self-attention transformer and the existing transformer, and the experiment showed improvements of 0.63% and 1.57% in Top-1 accuracy, respectively.

• Journal of the Economic Geographical Society of Korea
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• v.2 no.1_2
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• pp.169-182
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• 1999

This study aims to convey some results of a survey to professionals in the fields of territorial studies and information studies, mainly concerned with spatial implications of the informatization processes, and to draw some policy implications. Overall findings of the survey show that, along with jnformatization processes, there is high possibility of enforcing the functions and role of the metropolitan Seoul while diffusion of population and polarization reversal is quite feasible to some degree. The extension of large cities will be possible but with some limitations while urban structure will be characterized with limited functional segmentation and the emergence of multi-centers. It is prospected that there will be higher possibility of achieving regionally balanced development by informatization processes.

• Journal of Korea Multimedia Society
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• v.3 no.6
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• pp.575-584
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• 2000

This paper presents a new image retrieval system with color and morphological informations based on binary sets. Each of them can be obtained from color binary sets and regional segmentation separately. For retrieval processes, the candidate images are decided by comparing color and their image binary sets of the database with query images. Particularly, it is possible that the retrieval of similar-measurements has a weight of color spatial distribution and its objective morphological features. We proposed a new idea for performing simply the complicated similar-measurement of candidated images to improve queried processes. The retrieval method using spatial and morphological features is shown with the effectiveness on the result of implementation on database with 3,000 images.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.6C
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• pp.610-618
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• 2002

This paper presents a new image retrieval method that is based on color space and block region information. The color space information of images can be obtained by color binary set, and the block region information can be obtained by regional segmentation and feature. The candidate images are decided by comparing with color features and its binary set of query image and image feature database for retrieval. Particularly, it is possible that the retrieval using similarity-measurements has the weights of color spatial distribution arid its objective block region features. This retrieval method using color spatial and block region features is shown with the effectiveness on the result of implementation on image database with 6,000 images.

• Journal of the Korean Regional Science Association
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• v.33 no.3
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• pp.79-100
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• 2017

This study provides the insight into the aged employment provision issue for the aged-low growth era. For the purpose, we analyze the national trend of the age demographic and occupational employment in first. And then we investigate the spatial characteristics of employment of the aged in the Seoul Metropolitan area which has the highest elderly population by utilizing location quotient, factor analysis, and K-means cluster analysis. As the result, we found that the spatial distribution patterns of the residence and workplace of the elderly were nearly coincided with each other. Furthermore, five clusters of the aged distribution have been determined according to the industrial-occupational-demographic attributes. The result revealed clear spatial segrmentation: Most of elderly population of the research area have been engaged in the low-level service jobs, while elderly population employed to the educated-knowledged based high-level jobs has been distributed at a few cores. The results could be applied to the practical use for regional employment planning for the aged.