• Journal of the Korean Institute of Landscape Architecture
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• v.25 no.4
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• pp.1-17
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• 1998

Most of the tourist resort facilities in our country cannot be used in the winter season, and only a few spa resorts and sky resorts are available in the winter. To ameliorate this problem, various types of winter resort facilities have been constructed since 1970s and the massive development of winter resort facilities changed the resort market from a seller's market to a buyer's market. There has been however,few researches on marketing strategies for winter resorts, and there is a growing need for a rational method to maximize tourists' satisfaction and developers'profit at the same time. This research aims to develop a positining strategy to engance the marketability of winter resorts by classifying the resort market with the self-image types of users, and by analyzing the structure of the market, users' preferences, and locational factors. A survey was conducted with cases of Yong-Pyung resort, Mu-Ju resort, Alps resort, Bears resort, Back-Am spa resort, Su-An-Bo spa resort, and I-Chon spa resort. A list of questions in five categories -- similarity, characteristics, preferences, self-image, and personal characteristics of the respondents -- was constructed and tested. Among the 750 copies of questionnaire distributed, 700 were returned by only 378 were analyzed after screening missing or reckless answers. The statistical analysis of the data were conducted using techniques of correlation analysis, frequency analysis, factor analysis. Factor analysis and cluster analysis were used to group the cluster of self-image and a discriminant analysis were used to confirm this classification. The demographical characteristics were identified by frequency analysis, and resorts attributes were analyzed by oneway ANOVA analysis. Multidimensional scaling methods such as KYST, PROFIT, and PREFMAP were used for the positioning strategy.

• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.1-13
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• 2009

Scene classification and concept-based procedures have been the great interest for image categorization applications for large database. Knowing the category to which scene belongs, we can filter out uninterested images when we try to search a specific scene category such as beach, mountain, forest and field from database. In this paper, we propose an adaptive segmentation method for real-world natural scene classification based on a semantic modeling. Semantic modeling stands for the classification of sub-regions into semantic concepts such as grass, water and sky. Our adaptive segmentation method utilizes the edge detection to split an image into sub-regions. Frequency of occurrences of these semantic concepts represents the information of the image and classifies it to the scene categories. K-Nearest Neighbor (k-NN) algorithm is also applied as a classifier. The empirical results demonstrate that the proposed adaptive segmentation method outperforms the Vogel and Schiele's method in terms of accuracy.

• Journal of Korea Planning Association
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• v.54 no.2
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• pp.93-108
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• 2019

This study examines the relationship between three-dimensional urban built environment and urban surface temperature using LANDSAT 8 satellite image data in Seoul city. The image was divided into 600m×600m grid units as an unit of analysis. Due to the high level of spatial dependency in surface temperature, this study uses spatial statistics to take into account spatial auto-correlation. The spatial error model shows the best goodness of fit. The analysis results show that the three-dimensional built environment and transport environment as well as natural environment have statistically significant associations with surface temperature. First, natural environment variables such as green space, streams and river, and average elevation show statistically significant negative association with surface temperature. Second, the building area shows a positive association with surface temperature. In addition, while sky view factor (SVF) has a positive association with surface temperature, surface roughness (SR) shows a negative association with it. Third, transportation related variables such as road density, railway density, and traffic volume show positive associations with surface temperature. Moreover, this study finds that SVF and SR have different effects on surface temperature in regard to the levels of total floor areas in built environment. The results indicate that interactions between floor area ratio (FAR) and three-dimensional built environmental variables such as SVF and SR should be considered to reduce urban surface temperature.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.3
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• pp.10-17
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• 2012

In general, image-based 3D scenes can now be found in many popular vision systems, computer games and virtual reality tours. In this paper, we propose a method for creating 3D virtual scenes based on 2D image that is completely automatic and requires only a single scene as input data. The proposed method is similar to the creation of a pop-up illustration in a children's book. In particular, to estimate geometric structure information for 3D scene from a single outdoor image, we apply the tensor voting to an image segmentation. The tensor voting is used based on the fact that homogeneous region in an image is usually close together on a smooth region and therefore the tokens corresponding to centers of these regions have high saliency values. And then, our algorithm labels regions of the input image into coarse categories: "ground", "sky", and "vertical". These labels are then used to "cut and fold" the image into a pop-up model using a set of simple assumptions. The experimental results show that our method successfully segments coarse regions in many complex natural scene images and can create a 3D pop-up model to infer the structure information based on the segmented region information.

• Korean Journal of Remote Sensing
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• v.31 no.3
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• pp.227-244
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• 2015

Synthetic Aperture Radar is able to provide images of wide coverage in day, night, and all-weather conditions. Recently, as the SAR image resolution improves up to the sub-meter level, their applications are rapidly expanding accordingly. Especially there is a growing interest in the use of geographic information of high resolution SAR images and the change detection will be one of the most important technique for their applications. In this paper, an automatic threshold tracking and change detection algorithm is proposed applicable to high-resolution SAR images. To detect changes within SAR image, a reference image is generated using log-ratio operator and its amplitude distribution is estimated through K-S test. Assuming SAR image has a non-gaussian amplitude distribution, a generalized thresholding technique is applied using Kittler and Illingworth minimum-error estimation. Also, MoLC parametric estimation method is adopted to improve the algorithm performance on rough ground target. The implemented algorithm is tested and verified on the simulated SAR raw data. Then, it is applied to the spaceborne high-resolution SAR images taken by Cosmo-Skymed and KOMPSAT-5 and the performances are analyzed and compared.

• The Bulletin of The Korean Astronomical Society
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• v.40 no.1
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• pp.77.1-77.1
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• 2015

We present our recent work published in the MNRAS (Lee and Kim, 2014). Numerical studies of the imaging and caustic properties of the singular isothermal sphere (SIS) under a wide range of external shear (from 0.0 to 2.0) are presented. Using a direct inverse mapping formula for this lensing system, we investigate various lensing properties for both low-shear (i.e. ${\gamma}$<1.0) and high-shear (i.e. ${\gamma}$ >1.0) cases. We systematically analyse the effective lensing cross-sections of double-lensing and quadruple-lensing systems, based on the radio luminosity function obtained by the Jodrell-VLA Astrometric Survey (JVAS) and the Cosmic Lens All-Sky Survey (CLASS). We find that the limit of a survey selection bias (i.e. between brighter and fainter images) preferentially reduces the effective lensing cross-sections of two-image lensing systems. By considering the effects of survey selection bias, we demonstrate that the long-standing anomaly over the high quads-to-doubles ratios (i.e. 50~70 % for JVAS and CLASS) can be explained by the moderate effective shear of 0.16~0.18, which is half that of previous estimates. The derived inverse-mapping formula could make the SIS + shear lensing model useful for galaxy-lensing simulations.

• Journal of the Korea Furniture Society
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• v.23 no.2
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• pp.103-109
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• 2012

King Muryeong reungeseo Foot-rest on the subject of the king excavated a USB memory design. Foot-rest of the form and the meaning of patterns were expressed on a USB memory. Minds of ordinary people in these times communicator acts as an intermediary in the sky to give a sense of the king, such as Foot-rest patterns carved on the engraved turtle. Closely related to modern life, as cultural products associated with the computer by connecting supplies of products for some tourists, not only about reaching the wider public should focus on development. Meanwhile, the USB memory could not be seen in the case of natural wood material by using the age and the individual tastes of consumers represents USB memory into the merit of portability, necklaces pendants items for restoration, phone strap, key chain, etc. By combining the functionality increases. Meanwhile, on the basis of a practical item, the largest issue was the consumption of cultural products by maximizing the economic benefit of the community and at the same time a symbol of cultural heritage items have been transformed into the effectiveness of the national image enhancement is expected to be achieved.

• Publications of The Korean Astronomical Society
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• v.27 no.4
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• pp.181-182
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• 2012

Using the AKARI mid-infrared all-sky survey catalogue, we are searching for debris disks which are important objects as an observational clue to on-going planetary system formation. Debris disk candidates are selected through a significant excess of the measured flux over the predicted flux for the stellar photospheric emission at $18{\mu}m$. The fluxes were originally estimated based on the near-infrared spectral energy distributions (SEDs) of central stars constructed from the 2MASS J-, H-, and Ks-band fluxes. However, we found that in many cases the 2MASS photometry has large errors due to saturation in the central part of a star image. Therefore we performed follow-up observations with the IRSF 1.4m near-infrared telescope in South Africa to obtain accurate fluxes in the J-, H-, and Ks-bands. As a result, we have succeeded in improving the SEDs of the central stars. This improvement of the SEDs allows us to make more reliable selection of the candidates.

• International Journal of High-Rise Buildings
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• v.6 no.3
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• pp.261-269
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• 2017

Designed by star architect of Moshes Safdie, Raffles City Chongqing includes a total of 6 mega high-rise towers 250 to 380 m tall, a sky conservatory, a 5-storey high shopping mall and a 3-storey basement car parking. Located at the confluence of the Yangtze and Jailing Rivers, the site for the project is imbued with a significance that is immediately symbolic, both as a sign of Chongqing's important past and as a vivid indicator of the city's thriving present and future. The design for the project to be situated at this gateway takes as its governing idea the image of powerful sails upon the water. The outer facades of the project's eight towers - the transparent surfaces that will face the water to the north - are meant to recall a fleet of ancient Chinese ships, with their huge rectangles of white canvas filled by the wind. This is a $1.13million\;m^2$ mega scale integrated project of office, retail, hotel, service residence and high-end residence with the transportation hub and traffic circulation at various levels of the project. This paper presents the multi-dimensional hybrid design, engineering and construction of this mega scale project. The innovations and the cutting-edge technology used in this project are introduced and discussed benchmarking the design and construction of the skyscraper cluster in a major city like Chongqing of China.

• Journal of the Korean Institute of Landscape Architecture
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• v.31 no.2
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• pp.58-69
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• 2003

The Hemi-sphere projection method produces an image that includes all surrounding visual landscape from a view point. This characteristic can solve the problem of perspective method that has only a limited view angle, and thus can be a potentially effective method for the analysis of visual landscape. This study tried to adopt the hemi-sphere projection method in the evaluation of streetscape, and examined its effectiveness and possibilities. Computer animations using the perspective method and the hemi-sphere method were produced for Bang-Hak Ro, Seoul, and the kames of the animations were reclassed to identify the visibility ratio of physical elements(buildings, sky and mountains). A preference questionnaire was given to 51 university students, and the relationships between the visibility ratio and visual preference were analyzed. The results showed that visual preference of streetscape can be explained by three factors: Openness, Uniformity, and Variousness, accounting for 63.2% of the total variance, and among which Openness showed the highest proportion at 32.1％. The visibility ratio calculated by the hemi-sphere method yielded strong correlation coefficients with Openness, and it was much higher than with the perspective method. The hemi-sphere method also produced significant correlation coefficients about Uniformity and Variousness, but the perspective method could not. The results demonstrated that the hemi-sphere method can provide more accurate observation of visual changes, and that it can be an effective method for the analysis of streetscape.