• Title/Summary/Keyword: Border Area Support Act

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The Assessment of the Border Area Support Policy (접경지역 지원의 목표달성 평가)

  • Kim, Jai-Han
    • Journal of the Korea Convergence Society
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    • v.7 no.1
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    • pp.167-176
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    • 2016
  • The Border Area Support Act(2000) has policy goal convergence to improve living conditions, to conserve natural environment, and to prepare national unification in this area. The purpose of this study is to evaluate whether the support until now meet the policy goal or set a question on policy itself. Variation of statistical indicators related with policy goal for the period 2000-2014 has analyzed and compared with local government's evaluation report. It is found out that resident's living condition has improved in spite of several political fallacies, but the support policy can damage natural environment and cause conflict with military regulations constantly. Under current inter-Korean relation, it is desirable to minimize conflicts between political bodies in Border Area.

A Study on Land Use Regulation on Border Area of Incheon Metropolitan City (인천광역시 접경지역 토지이용규제에 관한 연구)

  • Jung, Jin-Won;Yoon, Hyun-Wi;Lee, Jong-Hyun
    • Journal of the Korean Geographical Society
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    • v.51 no.2
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    • pp.255-268
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    • 2016
  • At present, Ganghwa County and Ongjin County of Incheon Metropolitan City are under the application of a different land use regulation like military regulations, etc. due to distinct characteristics of a border area; moreover, these two Counties have degenerated into the deepening area of economic backwardness and decline with the overlapping application of various land use regulations on the ground that these areas belong to a metropolitan area in view of an administrative district. In addition, different support is also implemented for border areas, such as 'the Special Act on Border Area Support' for the border areas, and development projects for special situation areas, etc.; however, realities are that the border areas are not free from regulations as yet due to the problems of unreality of support projects, and hierarchy of ordinances, etc. Accordingly, this study implemented this research under the judgment that it's about time to mitigate overlapping regulations on regional characteristics of the border areas of Incheon Metropolitan City, i.e. different land use regulation as a border area. It is required that general land use regulations should be mitigated through f lexible deregulation & management of the military regulation on the border areas of Incheon-si, mitigation of regulations under the Metropolitan Area Readjustment Planning Act, and relaxation of the preservation area of cultural properties; particularly, it's necessary to minimize the damage to border areas of Incheon-si caused by overlapping regulations on the areas by exempting the areas from the range of a metropolitan area through acknowledgment of the difference between the distinct characteristics of the border areas and regional, cultural conditions of a metropolitan area.

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An Improved Stereo Matching Algorithm with Robustness to Noise Based on Adaptive Support Weight

  • Lee, Ingyu;Moon, Byungin
    • Journal of Information Processing Systems
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    • v.13 no.2
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    • pp.256-267
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    • 2017
  • An active research area in computer vision, stereo matching is aimed at obtaining three-dimensional (3D) information from a stereo image pair captured by a stereo camera. To extract accurate 3D information, a number of studies have examined stereo matching algorithms that employ adaptive support weight. Among them, the adaptive census transform (ACT) algorithm has yielded a relatively strong matching capability. The drawbacks of the ACT, however, are that it produces low matching accuracy at the border of an object and is vulnerable to noise. To mitigate these drawbacks, this paper proposes and analyzes the features of an improved stereo matching algorithm that not only enhances matching accuracy but also is also robust to noise. The proposed algorithm, based on the ACT, adopts the truncated absolute difference and the multiple sparse windows method. The experimental results show that compared to the ACT, the proposed algorithm reduces the average error rate of depth maps on Middlebury dataset images by as much as 2% and that is has a strong robustness to noise.