• Title/Summary/Keyword: $MAP_1$

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Geospatial data Acquisition Using the Google Map API

  • Han, Seung-Hee;Lee, Jin-Duk;Ahn, Hyo-Beom
    • International Journal of Contents
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    • v.8 no.1
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    • pp.55-60
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    • 2012
  • Most Korean and overseas major portal sites include map servers to provide map services, and offer open APIs to allow their users to make use of maps or spatial information directly. At the early design stage, geographic spatial data do not tend to require high accuracy, and thus there would be no problem using data which have been obtained and then utilized through map servers provided by portal sites. This study has chosen the shortest route between starting point and destination, using GIS techniques. Moreover, for the chosen route, it also has calculated the elevation for the cross-section, using Google map and GPS measurements. This study aims to create APIs, which can extract vertical profile of routes from the Google Map server, by using JAVA, and to compare centerline profile results obtained by GPS(Global Positioning System) to explore their utilize abilities. The result demonstrated a height error of 0.5 to 1 m, compared to the GPS results, but they were mutually satisfactory. In short, the data extracted in this study are useful for centerline profile drawings in selecting routes, such as streets, Olle roads, and bike lanes.

Design and Implementation of Ecology Map System by Location Based Web Service (EcoMap : 위치기반 웹 서비스를 이용한 생태지도의 설계 및 구현)

  • Noh, Yong Deok
    • KIISE Transactions on Computing Practices
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    • v.21 no.4
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    • pp.299-307
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    • 2015
  • Currently, many kinds of World Wide Web contents are produced by an individual journalism. Users who simply obtain information by surfing the web becomes the producer, and many contents created by these users reflect on their own interesting topics and social issues. Among these issues, the environmental contents are considered in this study, which we proposed as EcoMap, a media service platform for such contents. In terms of EcoMap, a way of thinking about our own environment would be affected, and the environmental information will be produced and shared more effectively by the users on the web.

Land Cover Classification Map of Northeast Asia Using GOCI Data

  • Son, Sanghun;Kim, Jinsoo
    • Korean Journal of Remote Sensing
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    • v.35 no.1
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    • pp.83-92
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    • 2019
  • Land cover (LC) is an important factor in socioeconomic and environmental studies. According to various studies, a number of LC maps, including global land cover (GLC) datasets, are made using polar orbit satellite data. Due to the insufficiencies of reference datasets in Northeast Asia, several LC maps display discrepancies in that region. In this paper, we performed a feasibility assessment of LC mapping using Geostationary Ocean Color Imager (GOCI) data over Northeast Asia. To produce the LC map, the GOCI normalized difference vegetation index (NDVI) was used as an input dataset and a level-2 LC map of South Korea was used as a reference dataset to evaluate the LC map. In this paper, 7 LC types(urban, croplands, forest, grasslands, wetlands, barren, and water) were defined to reflect Northeast Asian LC. The LC map was produced via principal component analysis (PCA) with K-means clustering, and a sensitivity analysis was performed. The overall accuracy was calculated to be 77.94%. Furthermore, to assess the accuracy of the LC map not only in South Korea but also in Northeast Asia, 6 GLC datasets (IGBP, UMD, GLC2000, GlobCover2009, MCD12Q1, GlobeLand30) were used as comparison datasets. The accuracy scores for the 6 GLC datasets were calculated to be 59.41%, 56.82%, 60.97%, 51.71%, 70.24%, and 72.80%, respectively. Therefore, the first attempt to produce the LC map using geostationary satellite data is considered to be acceptable.

3D Multi-floor Precision Mapping and Localization for Indoor Autonomous Robots (실내 자율주행 로봇을 위한 3차원 다층 정밀 지도 구축 및 위치 추정 알고리즘)

  • Kang, Gyuree;Lee, Daegyu;Shim, Hyunchul
    • The Journal of Korea Robotics Society
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    • v.17 no.1
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    • pp.25-31
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    • 2022
  • Moving among multiple floors is one of the most challenging tasks for indoor autonomous robots. Most of the previous researches for indoor mapping and localization have focused on singular floor environment. In this paper, we present an algorithm that creates a multi-floor map using 3D point cloud. We implement localization within the multi-floor map using a LiDAR and an IMU. Our algorithm builds a multi-floor map by constructing a single-floor map using a LOAM-based algorithm, and stacking them through global registration that aligns the common sections in the map of each floor. The localization in the multi-floor map was performed by adding the height information to the NDT (Normal Distribution Transform)-based registration method. The mean error of the multi-floor map showed 0.29 m and 0.43 m errors in the x, and y-axis, respectively. In addition, the mean error of yaw was 1.00°, and the error rate of height was 0.063. The real-world test for localization was performed on the third floor. It showed the mean square error of 0.116 m, and the average differential time of 0.01 sec. This study will be able to help indoor autonomous robots to operate on multiple floors.

The Selection Methodology of Road Network Data for Generalization of Digital Topographic Map (수치지형도 일반화를 위한 도로 네트워크 데이터의 선택 기법 연구)

  • Park, Woo Jin;Lee, Young Min;Yu, Ki Yun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.3
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    • pp.229-238
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    • 2013
  • Development of methodologies to generate the small scale map from the large scale map using map generalization has huge importance in management of the digital topographic map, such as producing and updating maps. In this study, the selection methodology of map generalization for the road network data in digital topographic map is investigated and evaluated. The existing maps with 1:5,000 and 1:25,000 scales are compared and the criteria for selection of the road network data, which are the number of objects and the relative importance of road network, are analyzed by using the T$\ddot{o}$pfer's radical law and Logit model. The selection model derived from the analysis result is applied to the test data, and the road network data of 1:18,000 and 1:72,000 scales from the digital topographic map of 1:5,000 scale are generated. The generalized results showed that the road objects with relatively high importance are selected appropriately according to the target scale levels after the qualitative and quantitative evaluations.

A Study on the EO-1 Hyperion's Optimized Band Selection Method for Land Cover/Land Use Map (토지피복지도 제작을 위한 초분광 영상 EO-1 Hyperion의 최적밴드 선택기법 연구)

  • Jang Se-Jin;Lee Ho-Nam;Kim Jin-Kwang;Chae Ok-Sam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.24 no.3
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    • pp.289-297
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    • 2006
  • The Land Cover/Land Use Map have been constructed from 1998, which has hierarchical structure according to land cover/land use system. Level 1 classification Map have done using Landsat satellite image over whole Korean peninsula. Level II classification Map have been digitized using IRS-1C, 1D, KOMPSAT and SPOT5 satellite images resolution-merged with low resolution color images. Level II Land Cover/Land Use Map construction by digitizing method, however, is consuming enormous expense for satellite image acquisition, image process and Land Cover/Land Use Map construction. In this paper, the possibility of constructing Level II Land Cover/Land Use Map using hyperspectral satellite image of EO-1 Hyperion, which is studied a lot recently, is studied. The comparison of classifications using Hyperion satellite image offering more spectral information and Landsat-7 ETM+ image is performed to evaluate the availability of Hyperion satellite image. Also, the algorithm of the optimal band selection is presented for effective application of hyperspectral satellite image.

Sphigosine-1-Phosphate-Induced ERK Activation Protects Human Melanocytes from UVB-Induced Apoptosis

  • Kim, Dong-Seok;Kim, Sook-Young;Lee, Jai-Eun;Kwon, Sun-Bang;Joo, Young-Hyun;Youn, Sang-Woong;Park, Kyoung-Chan
    • Archives of Pharmacal Research
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    • v.26 no.9
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    • pp.739-746
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    • 2003
  • Ultraviolet B (UVB) is known to induce apoptosis in human melanocytes. Here we show the cytoprotective effect of sphingosine-1-phosphate (S1P) against UVB-induced apoptosis. We also show that UVB-induced apoptosis of melanocytes is mediated by caspase-3 activation and poly(ADP-ribose) polymerase (PARP) cleavage, and that S1P prevents apoptosis by inhibiting this apoptotic pathway. We further investigated three major mitogen-activated protein (MAP) kinases after UVB irradiation. UVB gradually activated c-Jun N-terminal kinase (JNK) and p38 MAP kinase, while extracellular signal-regulated protein kinase (ERK) was inactivated transiently. Blocking of the p38 MAP kinase pathway using SB203580 promoted cell survival and inhibited the activation of caspase-3 and PARP cleavage. These results suggest that p38 MAP kinase activation may play an important role in the UVB-induced apoptosis of human melanocytes. To explain this cytoprotective effect, we next examined whether S1P could inhibit UVB-induced JNK and p38 MAP kinase activation. However, S1P was not found to have any influence on UVB-induced JNK or p38 MAP kinase activation. In contrast, S1P clearly stimulated the phosphorylation of ERK, and the specific inhibition of the ERK pathway using PD98059 abolished the cytoprotective effect of S1P. Based on these results, we conclude that the activation of p38 MAP kinase plays an important role in UVB-induced apoptosis, and that S1P may show its cytoprotective effect through ERK activation in human melanocytes.

THE RELATIVE LUSTERNIK-SCHNIRELMANN CATEGORY OF A SUBSET IN A SPACE WITH RESPECT TO A MAP

  • Moon, Eun Ju;Hur, Chang Kyu;Yoon, Yeon Soo
    • Journal of the Chungcheong Mathematical Society
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    • v.11 no.1
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    • pp.1-12
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    • 1998
  • In this paper we shall define a relative Lusternik-Schnirelmann category of a subset in a space with respect to a map which generalizes the category of a space, the category of a map and the relative category of a subset in a space. We shall study some properties of the relative Lusternik-Schnirelmann category of a subset in a space with respect to a map and generalize many results of the above categories.

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Generalized Cylinder based on Linear Interpolation by Direction Map

  • Kim, Hyun;Kim, Hyoung-Sun;Lee, Joo-Haeng
    • International Journal of CAD/CAM
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    • v.3 no.1_2
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    • pp.77-83
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    • 2003
  • We propose two algorithms to generate (1) polygonal meshes and (2) developable surface patches far generalized cylinders defined by contours of discrete curves. To solve the contour blending problem of generalized cylinder, the presented algorithms have adopted the algorithm and related properties of LIDM (linear interpolation by direction map) that interpolate geometric shapes based on direction map merging and group scaling operations. Proposed methods are fast to compute and easy to implement.