• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.377-381
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• 2008

Chinease-Korean Cultural Map, which is an electronic cultural map that shows Chinese-Korean culture on maps, is planned as the first step to development Asian Electronic Cultural Map. Chinese-Korean have their unique cultural characteristics same as other small tribes. Small tribes shows same typical cultural characteristics of Asian, and that characteristics are very important factors for understanding the whole Asian culture. This paper proposes a logical and standardized development methodology for construction of Electronic Cultural Map. The methodology consists of 6 steps; information analysis, keyword extraction, keyword clustering, map element extraction, prototype design, and map development. We used and evaluated the methodology during prototype design and development steps for the optimal functions. To generate the base maps for Chinese-Korean Cultural Map, we use Google Earth and KML(Keyhole Markup Language) for standardized and easy development.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.14 no.2
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• pp.249-253
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• 1996

The development of electronic technology brings the advent of electronic tacheometer which measures, stores and records automatically angles and distances. Electronic tacheometer is the surveying equipment that enable the acquisition of the 3-D terrain information, construction of the database and automatic drafting of the cartographic map. This paper aims at studying the system which can produce automatically the digital cartographic map by us-ing the electronic tacheometer. For this study, cartographic maps of a region are produced by a plane table and an electronic tacheometer and these is analysed. The results of this study show that digital cartographic map by electronic tacheometer is much more accurate and efficient than cartographic map by plane table.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.12
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• pp.1046-1052
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• 2016

For the safe driving of autonomous vehicles, accurate position estimation is required. Generally, position error must be less than 1m because of lane keeping. However, GPS positioning error is more than 1m. Therefore, we must correct this error and a map matching algorithm is generally used. Especially, road marking intensity map have been used in many studies. In previous work, 3D LIDAR with many vertical layers was used to generate a local intensity map. Because it can be obtained sufficient longitudinal information for map matching. However, it is expensive and sufficient road marking information cannot be obtained in rush hour situations. In this paper, we propose a localization algorithm using an accumulated intensity local map. An accumulated intensity local map can be generated with sufficient longitudinal information using 3D LIDAR with a few vertical layers. Using this algorithm, we can also obtain sufficient intensity information in rush hour situations. Thus, it is possible to increase the reliability of the map matching and get accurate position estimation result. In the experimental result, the lateral RMS position error is about 0.12m and the longitudinal RMS error is about 0.19m.

• Korean System Dynamics Review
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• v.11 no.2
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• pp.77-102
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• 2010

This paper examines a mechanism of the Electronic Territory Expansion and the Information-oriented Society. Especially, a strategy for the territory development based on intelligence is suggested. The strategy is divided into a strategy for the domestic electronic territory and a plan for the global electronic territory. To examine the strategy and the plan, this paper is using the causal map analysis based on the System Thinking Approach. The causal map of the mechanism is characterized by a positive feedback loop. The paper has concluded that it is important to make the positive loops as a virtuous circle. It means that when a society dominates the advantageous position firstly in the field of intelligent and electronic territory, the competitiveness can grow in arithmetical progression.

• Journal of Positioning, Navigation, and Timing
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• v.9 no.1
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• pp.23-31
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• 2020

It is essential to estimate the vehicle localization for an autonomous safety driving. In particular, since LIDAR provides precise scan data, many studies carried out to estimate the vehicle localization using LIDAR and pre-generated map. The road marking always exists on the road because of provides driving information. Therefore, it is often used for map information. In this paper, we propose to generate the Gaussian mixture map based on road-marking information and localization method using this map. Generally, the probability distributions map stores the single Gaussian distribution for each grid. However, single resolution probability distributions map cannot express complex shapes when grid resolution is large. In addition, when grid resolution is small, map size is bigger and process time is longer. Therefore, it is difficult to apply the road marking. On the other hand, Gaussian mixture distribution can effectively express the road marking by several probability distributions. In this paper, we generate Gaussian mixture map and perform vehicle localization using Gaussian mixture map. Localization performance is analyzed through the experimental result.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.275-276
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• 2008

IEEE802.16e-based OFDMA system called WiBro is being serviced commercially. In WiBro system, the base station sends downlink(DL)-MAP information to all mobile stations in each cell. The DL-MAP information is repeated six times, modulated by QPSK, and coded by Convolutional Turbo Coding(CTC) with 1/2 code rate [1],[2]. As the number of mobile stations increases, the DL-MAP size also increases. In this paper, We investigate methods of power allocation and interference cancelation to reduce overhead of the DL-MAP.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.6
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• pp.1381-1387
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• 2014

According to continuous development of information technology, it is needed to make convergence of other disciplines such as humanities and area studies. Among convergence fields related to information technology and humanities/area studies, electronic cultural atlas represents various digitalized cultural information on electronic map using spatial data such as points, lines, and polygons through time, spatial, and subject axises. Knowledge map is to represent special academic information based on electronic cultural atlas. In details, knowledge map can provide integrated information sharing and spread because academic information associated with electronic cultural atlas and data related to per subjects, regions, and period become organically connected. Therefore, knowledge map may be utilized to promote scholastic research and diffuse research result. In this paper, we describe basic concept and composition of knowledge map and propose design method to construct knowledge map.

• Journal of Korean Society for Geospatial Information Science
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• v.9 no.2 s.18
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• pp.55-62
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• 2001

The development of electronic technology brings the advent of GPS and electronic total station which measures, stores and records automatically angles, distances and 3d coordinates Electronic totalstation is the surveying equipment and system2000 is the supporting program that enables totals tation to get 3d terrain information, construction of the database and automatic drafting of the cartographic map. In this study, we aims at studying the system which can produce automatically the digital cartographic map by using total station and system2000. For this study, cartographic maps of a region are produced by total station and system2000, and then builded digital cartographic map on the autocad2000 environment and also we analysed two digital cartographic maps. As a results of this study, it is found that digital cartographic map by total station and system2000 are much more accurate and efficient than cartographic map by electronic plan table surveying.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.05a
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• pp.61-64
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• 2001

본 논문은 Self Organizing Map을 이용한 한국어의 모음 10개를 인식하는 것을 다루고 있다. 분류기로서 우수한 성능을 보이고 있는 Self Organizing Map의 출력 층을 2차원으로 구성하여 짧은 시간 간격으로 주파수 도메인에서 벡터화 되어진 음성을 입력 층에 인가하여 유사한 출력 층의 분포를 이용하여 모음 10개를 인식하는 분류기로서의 가능성을 보여줄 것이다.

• Journal of the Semiconductor & Display Technology
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• v.5 no.1 s.14
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• pp.5-11
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• 2006

One of the most important is to insure that a new circuit design is qualified far release before it is scheduled for manufacturing, test, assembly and delivery. Due to various causes, there happens to be a low yield in the wafer process. Wafer test is a critical process in analyzing the chip characteristics in the EDS(electric die sorting) using analytic tools -wafer map, wafer summary and datalog. In this paper, we propose new analytic map algorithms for DDI chip test data. Using the proposed analytic map algorithms, we expect to improve the yield, quality and analysis time.