• Journal of architectural history
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• v.20 no.1
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• pp.7-22
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• 2011

This paper deals with a fundamental study for '$Tonhobeondo$統戶番圖-making' of Hanseongbu(modern Seoul) before the Japanese colonial period. '$Tonhobeondo$統戶番圖-making' will be accomplished through analysis on Kwangmu-census光武戶籍 as a map of address-system in the Joseon period. It is possible to consider the urban changes of Hanseongbu(modern Seoul) because of '$Tonhobeondo$統戶番圖' reflects a urban situation from the 1897 to 1906. At present, an address-system of Korea was made by the cadastral survey in the 1914. By the way, new address-system was a completely different from traditional address-system of Joseon period. Consequently, different two address-system caused a lot of difficulties the study on the urban changes. For such a reason '$Tonhobeondo$統戶番圖-making' is very important. If '$Tonhobeondo$統戶番圖-making' would be accomplished, it will be used by a field of urban, architectural and historical science study besides.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.23 no.2
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• pp.189-196
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• 2005

Recently as map making skills developed and as digital maps prevailed, peoples began to take interest in the realistic 3dimension topography rather than the flat 2 dimension one. The experiment is done by using the topographical information from the digital maps, To analyze the preciseness of this 3dimension topography, analysis of the coordinate-changed standard map image and the location errors of the plane and height from digital values of the map's topography by layers and features, were done. The visual results of locational values differed by every programs of coordinate transformation. Errors of locations also appeared from the methods of correcting the visual sources, when deciding the standard source's datum point. The plan's accuracy of the image data coordinate transformation is about ${\pm}4.1m$. In ground distance, therefore, it is included in the allowed error of the 1:25,000 scale changed map, satisfying the plan's accuracy. Also, by the use of reasonably spaced grid, it satisfied the visual topographical accuracy. Because the 3 dimension topographical map can be produced effectively and rapidly by using various scale's standard map image and the digital map, the further practical use of 3 dimension topographic map made by using the existing topographies and changed maps has high expectations.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.21 no.1
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• pp.45-51
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• 2003

Stereo bird's-eyes-view was prepared for 3-dimensional view of various forms of Jecheon city, and 3-dimensional simulation was applied to it so as to show it in moving pictures in spatial. In manufacturing stereo bird's-eyes-view, perspective technology was used in image-making technology, and the basic material images are prepared as fellows: used EOC Images from Arirang-1 satellite, created DEM whose error was optionally geometric corrected after drawn from the contour line of the map on a scale of l/5,000 manufactured by national geography institute as a national standard map, and classified road lines which were manufactured as a road layer vector file of a map on a scale of l/l,000 and then overlay it over the three dimensional image of target area. Especially for the connectivity with address system to be used in new address, an arterial road map on a scale of l/l,000 that had been manufactured to grant new address was used in maximum in road network structure data of city area in this study.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.12
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• pp.849-854
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• 2013

In this paper, a system technology-based algorithms and visualization is proposed to show a space data. Also the proposed system provides analysis function with combination of usual map and automatic document generation function to give a useful information for making an important decision based on spatial distributed data. In the proposed method, we employ the heat map analysis to present a suitable color distribution for 2 dimensional map data. The buffering analysis method is also used to define the spatial data access. By using the proposed system, spatial information in a variety of distribution will be easy to identify. Also, if we make a use of automatic document generation function in the proposed algorithm, a lot of time and cost savings are expected to make electronic document which representation of spatial information is required.

• Journal of Advanced Navigation Technology
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• v.13 no.1
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• pp.134-141
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• 2009

In this paper, it is proposed a mind map program using open API to provide mashup function. Web paradigm is changing to Web 2.0. So mashup using open API is much applied. Mashup is good method for not only web service, but making new ideas or informations. It is mind map that was made systematical like this method. In this paper, a mind map application based on mobile that provides mashup function implemented for modern people that mostly process their business during movement.

• Spatial Information Research
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• v.5 no.1
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• pp.43-59
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• 1997

There are currently more than tens of thematic maps in Korea. Among them, there are some thematic maps which are used by one organization only by which was made, and there are common thematic maps which are used by several organizations. In this study, among many kinds of common thematic maps which are currently used, the common thematic maps which will be digitized for parts of NGIS project were chosen and the priority of project was established. After selecting five maps from the common thematic maps classified as the first ranking, current land use map, parcel-address map, administrative boundary map, urban planning map and road map, the area of CheJoo Island was digitized as a pilot project. Through the pilot project of CheJoo Island, the level of application was verified, and the method was presented in order to reduce the trial and error in the process of this production after analyzing the matter from the pilot project. The direction for digitizing common thematic maps was presented based on the result of the pilot project, in addition to, the detail plan was established after deciding the number of people needed, the amount of money spent, and the period needed for making digital maps nationwide.

• Journal of KIISE
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• v.42 no.11
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• pp.1303-1313
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• 2015

MapReduce provides high levels of system scalability and fault tolerance for large-size data processing. A MapReduce-based k-nearest-neighbor(k-NN) join algorithm seeks to produce the k nearest-neighbors of each point of a dataset from another dataset. The algorithm has been considered important in bigdata analysis. However, the existing k-NN join query-processing algorithm suffers from a high index-construction cost that makes it unsuitable for the processing of bigdata. To solve the corresponding problems, we propose a new grid-based, k-NN join query-processing algorithm. Our algorithm retrieves only the neighboring data from a query cell and sends them to each MapReduce task, making it possible to improve the overhead data transmission and computation. Our performance analysis shows that our algorithm outperforms the existing scheme by up to seven-fold in terms of the query-processing time, while also achieving high extent of query-result accuracy.

• Journal of The Geomorphological Association of Korea
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• v.27 no.2
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• pp.65-80
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• 2020

This paper deals with risk assessment of life in a landslide-prone area by a GIS-based modeling method. Landslide susceptibility maps can provide a probability of landslide prone areas to mitigate or proper control this problems and to take any development plan and disaster management. A landslide inventory map of the study area was prepared based on past historical information and aerial photography analysis. A total of 550 landslides have been counted at the whole study area. The extracted landslides were randomly selected and divided into two different groups, 50% of the landslides were used for model calibration and the other were used for validation purpose. Eleven causative factors (continuous and thematic) such as slope, aspect, curvature, topographic wetness index, elevation, forest type, forest crown density, geology, land-use, soil drainage, and soil texture were used in hazard analysis. The correlation between landslides and these factors, pixels were divided into several classes and frequency ratio was also extracted. Eventually, a landslide susceptibility map was constructed using a logistic regression model based on entire events. Moreover, the landslide susceptibility map was plotted with a receiver operating characteristic (ROC) curve and calculated the area under the curve (AUC) and tried to extract a success rate curve. Based on the results, logistic regression produced an 85.18% accuracy, so we believed that the model was reliable and acceptable for the landslide susceptibility analysis on the study area. In addition, for risk assessment, vulnerability scale were added for social thematic data layer. The study area predictive landslide affected pixels 2,000 and 5,000 were also calculated for making a probability table. In final calculation, the 2,000 predictive landslide affected pixels were assumed to run. The total population causalities were estimated as 7.75 person that was relatively close to the actual number published in Korean Annual Disaster Report, 2006.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.2
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• pp.583-600
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• 2014

Social media is considered a valuable platform for gathering and analyzing the collective and subconscious opinions of people in Internet and mobile environments, where they express, explicitly and implicitly, their daily preferences for brands and products. Extracting and tracking the various attitudes and concerns that people express through social media could enable us to categorize brands and decipher individuals' cognitive decision-making structure in their choice of brands. We investigate the cognitive network structure of consumers by building an inter-category map through the mining of big data. In so doing, we create an improved online recommendation model. Building on economic sociology theory, we suggest a framework for revealing collective preference by analyzing the patterns of brand names that users frequently mention in the online public sphere. We expect that our study will be useful for those conducting theoretical research on digital marketing strategies and doing practical work on branding strategies.

• KIEAE Journal
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• v.8 no.6
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• pp.71-78
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• 2008

Necessity of paradigm change has been awared in urban redevelopment especially, in housing regeneration from uniform scratch without serious consideration about resident's lives to holistic approach based on local culture and residents' participation. The purpose of this research was to identify community places recognized and attached by residents of a housing improvement district which was scheduled to be changed for improvement of the area, in near future. This research itself was considered as an resident participation technique. Group interview at a field site was carried as the main research methodology. As results, valuable places cherished by residents were identified. Most of them could be explained in relation to religious leadership, traditional cultural heritage and democratic movement. In regeneration process those places which have a strong tie with residents needs to be deliberately considered as a target to be preserved rather than demolished. The places also play a role in diffusing a livable village making movement. The result is expected to be used to make a cognitive and emotional community map of residents which is meaningfully differentiated from just a physical and geographical map. The places, place recognition activities and diffusion movement for common appreciation can be a basic foundation for residents participation in improving their housing neighborhood environment, and in creating value added strategies for the area.