• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.2
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• pp.156-162
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• 2012

This paper presents differences of road traffic noise maps were generated by using the draft map and two digital maps with different versions. As a first step, the calculation of the areas of excessive noise exposure was made for the draft map and each digital map version. Subsequently, the areas of excessive noise exposure were compared so as to determine how different from each other. Then, comparison of the populations exposed to excessive noise was also conducted in the same way. It was found that the most accurate noise map was obtained when using the combination of the draft map containing all attribute information and the digital map Ver 2.0. This result indicates that more information on the height and the number of floors of the individual building is required in order to obtain more accurate population exposed to excessive noise, thus creating a more accurate noise map.

• Korean Journal of Remote Sensing
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• v.24 no.2
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• pp.179-188
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• 2008

This study aims for generating a city spatial model required for the creation of a 3D noise map. In this study, we propose an efficient method to generate 3D models of the terrain and buildings using only a digital map and draft maps previously established without using any sensory data. The terrain model is generated by interpolating into a grid the elevation values derived from both the contour lines and the elevation point of the digital map. Building model is generated by combining the 2D building boundaries and the building elevations extracted from the digital map and the draft map, respectively. This method has been then applied to a digital map and three sets of draft maps created in the different times. covering the entire area of Yeongdeungpo-gu. The generated city spatial model has been successfully utilized for the noise analysis and the 3D visualization of the analysis results.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.25 no.3
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• pp.239-247
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• 2007

The 3D spatial information projects have been processed and utilized in varied fields. However, the research of the 3D digital map for a role of national base map is not enough. The draft maps, which are raw data for generating 2D digital map, shows problems in generating 3D digital map. The objective of this research is to develop 3D digital map editing system for modifying and editing of 3D digital map from 2D vector and raster information such as a draft map, 2D digital map, DEM, aerial photo and so forth. This 3D digital map editing system was designed to include data structure of geometric and attribute object under provision of ISO/TC211 and OGC standard. This system was developed to implement the function of 3D stereo editing based on stereo viewing, 3D view editing based on projective, and 3D spatial operation. Using this system, 3D digital maps were able to be successfully produced from not only existing draft maps but also modified or edited draft maps and then application results were compared and analyzed.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.2 s.40
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• pp.3-14
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• 2007

This study proposes an automatic method to generate 3D building models using a draft map, which is an intermediate product generated during the map generation process based on aerial photos. The proposed method is to generate a terrain model, roof models, and wall models sequentially from the limited 3D information extracted from an existing draft map. Based on the planar fitting error of the roof corner points, the roof model is generated as a single planar facet or a multiple planar structure. The first type is derived using a robust estimation method while the second type is constructed through segmentation and merging based on a triangular irregular network. Each edge of this roof model is then projected to the terrain model to create a wall facet. The experimental results from its application to real data indicates that the building models of various shapes in wide areas are successfully generated. The proposed method is evaluated to be an cost and time effective method since it utilizes the existing data.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2010.10a
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• pp.142-143
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• 2010

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2011.04a
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• pp.193-194
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• 2011

• Journal of the Korean Institute of Gas
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• v.18 no.4
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• pp.86-94
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• 2014

To develop a Root Cause Analysis Map which determines the cause of the accident in chemical laboratory, The Root Cause Analysis(RCA) Map for the laboratory areas was sketched from Phase 1 of the accident element to Phase 3 of the accident element, based on the RCA Map which is applied in the petrochemical industry. On the basis of laboratory RCA Map which was classified by using such method. The root causes of the 211 accident cases in laboratories were classified from Phase 4 to Phase 5 by the Cause Factor Charting technique and The cause of the accident data were inputted to EXCEL program. After that, The causes of the accident data were sorted and classified by type and each step. So 'Approximate Primary RCA Map Draft' was written. In addition, it was reaffirmed whether the root causes of 211 accidents of laboratory were appropriate to 'Primary RCA Map Draft'. By complementing the cause which was expected to cause future accidents, the RCA Map for chemical laboratories was developed. Based on 'RCA Map' proposed in this study, the causes of accidents were analysed management systems 35%, monitoring 12.2%, Human Factor Eng. 15.1% and education training 12.1% by the size of the frequency from Phase 1 to Phase 5.

• Knowledge Management Research
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• v.13 no.1
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• pp.1-12
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• 2012

A knowledge map is a network-typed diagram visualizing all kinds of knowledge that influences each other to solve a problem. A knowledge map determines the structure of knowledge categorizing and archiving by defining the relationship of referential navigation among knowledge. Since tremendous and increasing number of knowledge needs to be included in a knowledge map, a knowledge map must be organized automatically by considering the contents and relationships of knowledge. This paper suggests the concept and prototype of a semi-automated knowledge map which automatically maps new piece of knowledge onto a manually provided draft map. The prototype knowledge map is based on the recursive programming to make a knowledge map automatically determine the location of the newly-entered knowledge by considering the referential relationship between knowledge. The proposed knowledge enables the knowledge network to expand autonomously by automatically including and storing knowledge. Also, it can improve the accuracy and applicability of knowledge for problem-solving, because the relationship of referential navigation among knowledge can be efficiently and effectively expressed.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.365-365
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• 2005

• Journal of Environmental Impact Assessment
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• v.24 no.1
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• pp.99-109
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• 2015

The Ecosystem and Nature Map (ENM) is basic map for current status of natural resources. The map has been offered information to ecological conservation and restoration, as well as to land use planning and policy making. The map composed of 794 sheets in 1:25,000 scale classifies total areas into three grade zones (1st, 2nd and 3rd grade zones) and separately managed zone. In 2005, the first draft Ecosystem and Nature Map was prepared by the second National Ecosystem Survey. It was opened for the people to search and appeal. So 1,419 cases of public appeals on the first draft Ecosystem and Nature Map were submitted in 2005. After partial revision, the first Ecosystem and Nature Map was announced in 2007. The second draft Ecosystem and Nature Map was prepared by the third National Ecosystem Survey and opened to public in 2012. As a result, 1,263 cases of public appeals were submitted in 2012. Since the first announcement of the Ecosystem and Nature Map in April 2007, 182 cases of public appeals on the Map were submitted until December 2013. Among them, 159 cases were announced with revision. According to the first Ecosystem and Nature Map announced in 2007, graded areas covered 7.5% in the 1st grade zone, 39.2% in the 2nd grade zone and 44.7% in the 3rd grade zone of the national land area, respectively. In the second draft Ecosystem and Nature Map in 2012, areas of the 1st grade zone and the 2nd grade zone were 9.2% increased 1.7 percentage points and 45.5% increased 6.3 percentage points, and areas of the 3rd grade zone were 36.6% decreased 8.1 percentage points. Among areas of the 1st grade zone, Gangwondo occupies 54.3% in 2007 and 47.6% in 2012. Gangwondo consists of the highest percentage of the 1st grade zone and the smallest of the 3rd grade zone. Seoul has the highest percentage of the 3rd grade zone. There were the highest increase of the 1st grade zone in Gyeongsangbukdo and the highest decrease in Jeollabukdo and Seoul. Vegetation is the most important evaluation factor to determine the grade of the Ecosystem and Nature Map.