• Journal of the Korean Geographical Society
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• v.48 no.6
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• pp.978-993
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• 2013

It can be advantage as well as disadvantage to use the spatial weight matrix in a spatial regression model; it would benefit from explicitly quantifying spatial relationships between geographical units, but necessarily involve subjective judgment while specifying the matrix. We took Incheon City as a study area and investigated how the fitness of a spatial regression model changed by constructing various spatial weight matrices. In addition, we explored neighborhood segmentation in the study area and analyzed any influence of it on the model adequacy of two basic spatial regression models, i.e., spatial lagged and spatial error models. The results showed that it can help to improve the adequacy of models to specify the spatial weight matrix strictly, that is, interpreting the neighborhood as small as possible when estimating land price. It was also found that the spatial error model would be preferred in the area with serious spatial heterogeneity. In such area, we found that its spatial heterogeneity can be alleviated by delineating sub-neighborhoods, and as a result, the spatial lagged model would be preferred over the spatial error model.

• CRM연구
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• v.2 no.1
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• pp.33-52
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• 2009

This research focused on the moderating role of the influence an expectation exerts on a performance by a regional festival and the experience to get visitor's feeling and satisfaction. A survey design was used for the last analysis targeted for the respondent who experienced an experience directly targeted for the regional where a regional festival is promoted actively targeted for the visitor. Results are show a positive influence on the expectation exerts on a performance of festival. In addition, it was confirmed that festival experience activity the role important to feeling and satisfaction of a visitor. We suggest, therefore, that it has to raise the efficiency of the strengthening of an experience program to raise an performance of festival participants and the festival manage to draw out the various feeling formation and satisfaction through participation customers' segmentation.

• Journal of Korean Society of Rural Planning
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• v.18 no.4
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• pp.129-140
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• 2012

Land suitability assessment assesses development, farming, and conservation suitability, considering land's soil, location, and possibility for use. It also implement segmentation of management regions into production, conservation, and plan management area. It is evaluated as a very significant system in establishing a land use system of sustainable development and development after planning in the aspect that it can establish proper land use plan. This study developed a recommendation model for development in agent-based model that interacts with surrounding lands. It also tried to summarize the area characteristic analysis and the results of land suitability evaluation, targeting three ri's in Yesan-Gun, and analyze the model's applicability by selection results. In order to recommend area for development that considers the use of the surrounding lands, it calculated development possibility indices that considered the ratings of all the lands in the target areas for each parcel and simulated the model. As a result, selected three areas in target region were suitable areas for development in land suitability assessment. In detail, ratings of the recommended parcels were 3, 4, and 5 ratings. As a result of examining the land status, it showed that all the three areas were plan management areas, thus easy for development. It is judged that the model for recommending area for development suggested in this study can be used as important basic data for setting the direction for development when establishing a regional planning.

• Journal of Digital Contents Society
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• v.1 no.1
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• pp.53-64
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• 2000

This paper is related to color image segmentation scheme which makes it possible to achieve the excellent segmented results by block-based segmentation using Y/C bit-plane summation image. First, normalized chrominance summation image is obtained by normalizing the image which is summed up the absolutes of color-differential values between R, G, B images. Secondly, upper 2 bits of the luminance image and upper 6bits of and the normalized chrominance summation image are bitwise operated by the pixel to generate the Y/C bit-plane summation image. Next, the Y/C bit-plane summation image divided into predetermined block size, is classified into monotone blocks, texture blocks and edge blocks, and then each classified block is merged to the regions including one more blocks in the individual block type, and each region is selectively allocated to unique marker according to predetermined marker allocation rules. Finally, fine segmented results are obtained by applying the watershed algorithm to each pixel in the unmarked blocks. As shown in computer simulation, the main advantage of the proposed method is that it suppresses the over-segmentation in the texture regions and reduces computational load. Furthermore, it is able to apply global parameters to various images with different pixel distribution properties because they are nonsensitive for pixel distribution. Especially, the proposed method offers reasonable segmentation results in edge areas with lower contrast owing to the regional characteristics of the color components reflected in the Y/C bit-plane summation image.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.707-717
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• 2020

Global warming affects climate change and has an overall impact on all aspects of life. On the other hand, community behavior and disaster aspects also have an important role in people's lives. This will also have an impact on regional development. This study aims to find the effect of climate, disaster, and social community on rural development. This study uses data on the potential of rural development from PODES 2014, and 2018 data collection on climate conditions and regional status is sourced from relevant ministries. This research uses Ordinary Least Square (OLS) Regression Analysis method, then continued with CHAID analysis to find the segmentation of the role of climate, disaster, and social factors on rural development. The results of this study found that all research regressor variables significantly influence the Rural Development Index (IPD2018), with an R-squared value of 32.9 percent. Efforts need to be taken in order to implement policies that are targeted, effective, and efficient. The results of this study can be a reference for the government in determining policies by focusing on rural development that have high duration of sunshine, cultivating natural disaster warnings, especially in areas prone to natural disasters, and need to focus on underdeveloped areas.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.23 no.4
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• pp.133-139
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• 2015

1983년에 중국 정부가 자국민의 해외 여행을 허가한 이래, 중국의 아웃바운드 해외 관광 시장은 비약적으로 발전하였다. 대한민국은 이러한 현상의 최대 수혜 국가 중 하나가 되었으며, 항공운송 분야에 있어 특히 혜택을 보았다. 현재 인천국제공항의 전체 이용객 중 23.9%가 중국인이며, 추후에도 중국여객들이 인천국제공항의 주요한 고객으로 남을 것으로 전망된다. 중국의 광활한 영토와 13억이 넘는 인구를 고려할 때, 중국을 하나의 시장으로만 보는 것이 아니라 여러 지역들이 모인 집합체로 바라볼 필요성이 제기된다. 이렇게 할 시, 각 지역마다 다른 중국여객들이 공항 이용에 있어 보이는 태도와 행동양상의 차이점을 파악하여, 차별화된 서비스 제공의 밑바탕이 될 수 있다. 이를 통하여 중국여객들의 인천국제공항 이용 시 고객 가치와 만족도의 향상에 기여할 수 있다. 본 연구는 중국 정부가 경제, 사회 등의 요소를 고려하여 공인한 방식대로 중국 전체를 다섯 개의 권역으로 분할하여 중국여객들이 인천국제공항 이용에 있어 느끼는 만족도를 조사하고자 한다. 특별히 면세점 이용과 관련된 만족도에 중점을 두고자 한다. 권역별로 지니는 차이점을 분석하여, 권역별로 상이한 서비스 전략을 추진하기 위한 전략적 방향성을 제시한다.

• Progress in Medical Physics
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• v.10 no.3
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• pp.115-123
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• 1999

The two dimensional echocardiography is widely used to evaluate regional wall motion abnormality, because of its abilities to depict left ventricular wall motion. A number of researches have been processed for evaluation and quantitative analysis of left ventricular wall motion functions. In this paper, we proposed an algorithm which detects automatically and analyze quantitatively endocardial wall motion during systole. The echocardiograms were obtained in the short-axis views in normal subjects. Automated edge detection and endocardial contour tracking algorithm was applied to each frames, quantitative analysis based on segmentation was performed, pre-defined color overlays superimposed on the gray scale images, and the images was animated. The proposed algorithm provided automated, quantitative diagnosis of regional wall motion abnormality.

• Korean Journal of Remote Sensing
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• v.22 no.6
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• pp.613-619
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• 2006

This study proposed an unsupervised image classification through the dendrogram of agglomerative clustering as a higher stage of image segmentation in image processing. The proposed algorithm is a hierarchical clustering which includes searching a set of MCSNP (Mutual Closest Spectral Neighbor Pairs) based on the data structures of RAG(Regional Adjacency Graph) defined on spectral space and Min-Heap. It also employes a multi-window system in spectral space to define the spectral adjacency. RAG is updated for the change due to merging using RNV (Regional Neighbor Vector). The proposed algorithm provides a dendrogram which is a graphical representation of data. The hierarchical relationship in clustering can be easily interpreted in the dendrogram. In this study, the proposed algorithm has been extensively evaluated using simulated images and applied to very large QuickBird imagery acquired over an area of Korean Peninsula. The results have shown it potentiality for the application of remotely-sensed imagery.

• International Area Studies Review
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• v.16 no.3
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• pp.181-207
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• 2012

This study explores and examines the impacts of the cultural characters on the brand attitude of Chinese regional consumers. This study used the 1,500 sample sized data collected from three major cities: Beijing, Shanghai and Guangzhou. We investigate that power distance, individualism/collectivism, uncertainty avoidance and long-orientation are statistically different across cities. The empirical studies show that individualism/collectivism and uncertainty avoidance have significant impacts on the brand attitude of Chinese regional consumers. We tested that the relationship between the brand power and the brand attitude is moderated by individualism/collectivism, the results indicate that the effect of the brand power on the brand attitude is moderated by uncertainty avoidance. These results imply that Chinese consumers' culture character of individualism/collectivism and uncertainty avoidance moderate their brand attitude. Based on this results, We suggested some implications for further market segmentation strategy, brand marketing strategy, and Chinese regional consumer culture research.

• Korean Journal of Radiology
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• v.22 no.7
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• pp.1152-1162
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• 2021

Objective: This study aimed to determine whether there are regional differences in the blood-brain barrier (BBB) permeability of cognitively normal elderly participants and to identify factors influencing BBB permeability with a clinically feasible, 10-minute dynamic contrast-enhanced (DCE) MRI protocol. Materials and Methods: This IRB-approved prospective study recruited 35 cognitively normal adults (26 women; mean age, 64.5 ± 5.6 years) who underwent DCE T1-weighted imaging. Permeability maps (K_trans) were coregistered with masks to calculate the mean regional values. The paired t test and Friedman test were used to compare Ktrans between different regions. The relationships between K_trans and the factors of age, sex, education, cognition score, vascular risk burden, vascular factors on imaging, and medial temporal lobar atrophy were assessed using Pearson correlation and the Spearman rank test. Results: The mean permeability rates of the right and left hippocampi, as assessed with automatic segmentation, were 0.529 ± 0.472 and 0.585 ± 0.515 (K_trans, x 10^-3 min^-1), respectively. Concerning the deep gray matter, the K_trans of the thalamus was significantly greater than those of the putamen and hippocampus (p = 0.007, p = 0.041). Regarding the white matter, the K_trans value of the occipital white matter was significantly greater than those of the frontal, cingulate, and temporal white matter (p < 0.0001, p = 0.0007, p = 0.0002). The variations in K_trans across brain regions were not related to age, cognitive score, vascular risk burden, vascular risk factors on imaging, or medial temporal lobar atrophy in the study group. Conclusion: Our study demonstrated regional differences in BBB permeability (K_trans) in cognitively normal elderly adults using a clinically acceptable 10-minutes DCE imaging protocol. The regional differences suggest that the integrity of the BBB varies across the brains of cognitively normal elderly adults. We recommend considering regional differences in K_trans values when evaluating BBB permeability in patients with neurodegenerative diseases.