PURPOSES : Daejeon is basically divided into an old downtown and a new downtown, and the recent relocation of the Chungcheongnam-do Provincial Government of Republic of Korea from the old downtown and the opening of governmental buildings in the new downtown as well have made this new downtown only densely populated with industrial and business facilities. Such changes in the downtowns have promoted the conditions of the new downtown while, consequently, dragging down the old downtown. Out of concern for those unbalanced developments of the two downtowns, Daejeon is now carrying out several city projects to revive the old downtown. In the light of that, as a part of the project to promote the old downtown, this study aims to conduct an evaluation on landscape of the culture and arts street in Daeheungdong which was built upon those ideas of a theme street project by Daejeon. METHODS : Based on the findings from the questionnaire not only on the components that would design the streetscape of the culture and arts street but also on the public satisfaction with the streetscape, the study defined how those changes in the components affect emotional factors of the pedestrians. In order to achieve the research goal, the study made changes in D/H ratio of the street structural components as well as the roadside trees. In terms of the questionnaire method, the study used the SD scale, and proceeded with its investigation through the frequency analysis, the principal component analysis (the factor analysis) and the structural equation model. RESULTS : According to the results from the factor analysis and the regression analysis, of those three factors, such as the openness, the comfortable sensation and the safety, the openness followed by the comfortable sensation and the safety was determined to have the most positive influence on the total satisfaction. The structural model analysis reported that the D/H and the structural components of the roadside trees and planting have a positive effect on the emotional image, and this emotional image also appeared to be positively related to the total satisfaction. CONCLUSIONS : This study looked into how the changes in the street structural components of the culture and arts street in Daeheungdong would affect the satisfaction with the streetscape, and finally confirmed that the D/H and the planting are what would have a positive effect on this satisfaction. What has been learned from this study will be the basic data to figure out how to promote and improve the culture and arts street in Daeheung-dong as this data will also help designing and developing of those specialized streets in other regions.
This study intends to evaluate visual preference and image for 10 types of forest sceneries which have own distinct characteristics without overlapping each other among 22 types of beautiful forest sceneries based on Korea National Parks. Z scale and paired comparison methods were used to analyze visual preference for forest scenery, and SD scale method was also adopted to assess visual image for forest scenery. Experiments were conducted with 3 different university students groups. The results of this study can be summarized as follows. First, the evaluation results of Z scale (N=70) and paired comparison (N=64) methods show similar visual preference for different types of forest scenery. 'Scenery inside forests' and 'valley and rock' sceneries have the highest level of preference, and 'panorama of ridges', 'ridge of curious rock peaks', and 'waterfall and cliff' also have relatively higher preference level than others. However, 'community of dead trees' has the lowest preference in forest sceneries. Second, the factor analysis outputs of the image scores for beautiful forest scenery types by SD scale (N=66) show 3 factors of 'mysterious charm', 'colorful sense', and 'vividness/variety'. Examined the variables of forest scenery types for each factor, the image of 'mysterious charm' is based on the sceneries of mountain ridges, the image of 'colorful sense' is focused on the sceneries of color-expressed sense of the season, and the image of 'vividness/variety' is based on the sceneries of waterscape and curious rock peaks.
Su Nam Lee;Andrew Lin;Damini Dey;Daniel S. Berman;Donghee Han
Korean Journal of Radiology
/
v.25
no.6
/
pp.518-539
/
2024
Coronary computed tomography angiography (CCTA) has emerged as a pivotal tool for diagnosing and risk-stratifying patients with suspected coronary artery disease (CAD). Recent advancements in image analysis and artificial intelligence (AI) techniques have enabled the comprehensive quantitative analysis of coronary atherosclerosis. Fully quantitative assessments of coronary stenosis and lumen attenuation have improved the accuracy of assessing stenosis severity and predicting hemodynamically significant lesions. In addition to stenosis evaluation, quantitative plaque analysis plays a crucial role in predicting and monitoring CAD progression. Studies have demonstrated that the quantitative assessment of plaque subtypes based on CT attenuation provides a nuanced understanding of plaque characteristics and their association with cardiovascular events. Quantitative analysis of serial CCTA scans offers a unique perspective on the impact of medical therapies on plaque modification. However, challenges such as time-intensive analyses and variability in software platforms still need to be addressed for broader clinical implementation. The paradigm of CCTA has shifted towards comprehensive quantitative plaque analysis facilitated by technological advancements. As these methods continue to evolve, their integration into routine clinical practice has the potential to enhance risk assessment and guide individualized patient management. This article reviews the evolving landscape of quantitative plaque analysis in CCTA and explores its applications and limitations.
Kim, Hansun;Kim, Ju-Won;Yu, Byoungjoon;Kim, Wonkyu;Park, Seunghee
Journal of the Korea institute for structural maintenance and inspection
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v.23
no.7
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pp.129-136
/
2019
In this study, the magnetic flux leakage technique was applied to diagnose steel plate damage, imaging technique was applied through those signals. Steel plate specimens with different thicknesses were prepared for the imaging the magnetic flux leakage signal, and 6 different depths of damage were artificially processed at the same locations on each specimen. The sensor head consist hall sensor and magnetization yoke was fabricated to magnetize the steel plate specimen and measure the magnetic flux leakage signal. In order to remove the noise and increase the resolution of the image in the signal collected from the hall sensor, various of signal processing was performed. P-P value was analyzed for each channel to analyze the magnetic flux leakage signals measured from each damaged part. Based on the above processed signals and analysis, it was converted into heatmap image. Through this, it was possible to identify the damage on the steel plate at glance by imaging magnetic flux leakage signal.
Park, Mi-Ok;Seo, Joo-Young;Yang, Seung-Bin;Koo, Bon-Hak
Journal of the Korean Institute of Landscape Architecture
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v.47
no.6
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pp.37-44
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2019
This study was conducted to identify the distribution characteristics of small village wetlands in Geumsan County, an inland mountain zone, and comparing with Seocheon County, a coastal plain area with different ecological environment characteristics. Using Arc-GIS (v10.1) the village wetland code was extracted to derive the possible location of the village wetland, and the final distribution of the village was obtained by performing indoor judging work based on satellite images, aerial photographs, topographical maps, Korea Land Information System (KLIS), land use level, land cover degree (division), and land use status by local surveying and indoor analyzing. Although Geumsan County (576.66km2) is more than 60% larger than Seocheon County (358.04km2), 607 villages in Geumsan County and 570 villages in Seocheon County are capable of making similar levels of 106.5% of wetlands, but only a fraction of those in Seocheon County were found to be 67.6%. The density of the village wetlands was much lower than that of Seocheon County, a coastal plain area, because there were many mountainous areas in Geumsan County, and most of the wetlands temporarily created for water supply were removed during the analysis phase of the Jeongsa Image, so the actual wetlands of the village were judged to be only two-thirds different from those of Seocheon County.
KSCE Journal of Civil and Environmental Engineering Research
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v.26
no.2D
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pp.265-273
/
2006
On the occasion of high price oil generation, we have to promote activation policy for public transportation and hold back to use passenger car, it is very important to improve of sidewalk environment for pedestrian. Evaluation for sidewalk environment will be fixed with sensibility to feel pedestrian. So, study for sensibility about comfort etc. to feel pedestrian will be carried out. In this paper, researchers interests in engineering methods to make material considering sensibility and image of human. Therefore, we carried out recognition experiment for sidewalk environment with Kansei engineering, and made a quantitativedata of sensibility adjective that it was surveyed by semantic deferential method. After grasp factors by principal analysis, we found factor effect to design criterion and sidewalk environment preference. So, we could identify a design factor for comfort environment.
Journal of the Korean Association of Geographic Information Studies
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v.22
no.3
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pp.82-98
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2019
The importance of spatial information is rapidly rising. In particular, 3D spatial information construction and modeling for Real World Objects, such as smart cities and digital twins, has become an important core technology. The constructed 3D spatial information is used in various fields such as land management, landscape analysis, environment and welfare service. Three-dimensional modeling with image has the hig visibility and reality of objects by generating texturing. However, some texturing might have occlusion area inevitably generated due to physical deposits such as roadside trees, adjacent objects, vehicles, banners, etc. at the time of acquiring image Such occlusion area is a major cause of the deterioration of reality and accuracy of the constructed 3D modeling. Various studies have been conducted to solve the occlusion area. Recently the researches of deep learning algorithm have been conducted for detecting and resolving the occlusion area. For deep learning algorithm, sufficient training data is required, and the collected training data quality directly affects the performance and the result of the deep learning. Therefore, this study analyzed the ability of detecting the occlusion area of the image using various image quality to verify the performance and the result of deep learning according to the quality of the learning data. An image containing an object that causes occlusion is generated for each artificial and quantified image quality and applied to the implemented deep learning algorithm. The study found that the image quality for adjusting brightness was lower at 0.56 detection ratio for brighter images and that the image quality for pixel size and artificial noise control decreased rapidly from images adjusted from the main image to the middle level. In the F-measure performance evaluation method, the change in noise-controlled image resolution was the highest at 0.53 points. The ability to detect occlusion zones by image quality will be used as a valuable criterion for actual application of deep learning in the future. In the acquiring image, it is expected to contribute a lot to the practical application of deep learning by providing a certain level of image acquisition.
This study attempted to do a research on whether local festivals contributed to local economic vitalization in an empirical aspect focusing on Almedalen's case of Sweden has not been discussed in Korea. For this, by analyzing Gotland's sociocultural and economic aspects into 3 steps and evaluating them, the study tried to derive policy implications for benchmarking Almedalen in Korea in the future. As a result of analyzing the economic effect of Almedalen in Sweden into 3 steps, it was shown that in the analysis of resources in Step 1, Almedalen positively affected tourist allurement based on Gotland's beautiful natural landscape. In the evaluation of operation in Step 2, according to the result of examining an increase in population and stabilization with a valuation index related to the activation of local economy, Gotland was steadily seeing a new inflow of population, due to which it can be confirmed that local income increases as various jobs are being created. Finally, as a result of examining the improvement in local image in Step 3, it was shown that as diverse members from all walks of life participated in Gotland's festival, external communication became flexible and the opportunity of social participation increased, which positively affected local image. Based on the study results, the policy implications for benchmarking Almedalen, Sweden's local festival, are as follows: First, selecting an appropriate place for attracting the participation of various people is needed. Second, local festivals should be places for communication to exchange opinions, not specific institute-oriented unilateral provision of information. Third, while advancing local festivals for nonprofit, the efforts to make positive changes in local image are needed.
The purpose of this study is to provide the methods of harmony in color combination of environmental color for apartment in order to improve the image of the urban landscape. For this study, apartment in Iksan City was selected is a sample and twenty two apartments were analyzed. This framework of this study is A. Hard and L. Sivik's color combination model based on Natural Color System. This study examines various theories on environmental color perception and new approaches to color aesthetics, and tries to present perceptual properties that can be applied to environmental color design First, the principle of color harmony feeling in based on nuance and tone. Therefore, to control brightness and chromaticness with are related with nuance is important in color combination. Second, the aesthetic experience in color preception can be defined as a combined effect of similarities and differences of color attributes. Third, color harmony theory is one of the areas that can be benefit a great deal from and interdisciplinary approach, add empirical study such as this can be used as a basis for environmental color design and evaluation.
In order to survive the competition, cities are trying to form an original city brand through attractive city contents. The purpose of this study is to investigate the factors of urban brand formation and to present the framework of the theoretical concept. The purpose of this study is to examine the main factors of city brand formation by examining the precedent studies of city brand, and to suggest new urban brand conceptualization based on this. In this study, we analyzed the factors of city brand which are mentioned in 20 major researches on the evaluation criteria or strategy among the previous studies on urban brands. As a result of the study, the main factors that form the city brand can be classified into 1) landscape factors, 2) administrative factors, 3) historical and cultural factors, 4) cognitive factors, and 5) empirical factors. Based on these factors, it is possible to form an original city brand, which is expected to enhance urban competitiveness in the future.
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