• Title/Summary/Keyword: NEDI

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Normalized Ecosystem Drought Index considering Water Availability (수자원 이용 가능성을 고려한 정규화 된 생태계 가뭄 지수)

  • Lim, Jong Hun;Oh, eung Hyun;Kim, Jungwook;Chae, Myung-Byung;Kim, Hung Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.364-364
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    • 2018
  • 가뭄은 세계적으로 농업, 경제, 사회적 영향을 초래할 수 있는 가장 파괴적인 자연 재해 중 하나이다. 지구 온난화로 인하여 기온이 상승하고 증발산량의 증가와 강수량의 변화로 가뭄의 빈도와 정도가 더욱 심각하고 발생지역이 널리 확산 될 것으로 예상된다. 이러한 가뭄지역의 피해를 최소화하기 위해 다양한 가뭄지수가 개발되어 가뭄의 심도를 정량화 하려는 연구가 이루어지고 있다. 그러나 기존의 가뭄지수의 대부분은 생태계 반응보다는 환경적 조건에서 파생 된 가뭄에 초점을 두고 있다. 이를 보완하기 위해 본 연구에서는 정규화 된 생태계 가뭄 지수 (NEDI)라는 새로운 접근법을 사용하였다. 따라서 우리나라를 대상으로 새로운 가뭄지수인 NEDI를 사용하여 기존에 사용되던 SPI (Standardized Precipitation Index), PDSI(Palmer Drought Severity Index)와 비교하며 기후변화로 인하여 미래에 나타날 수 있는 가뭄의 통계적 특성을 분석하였다. NEDI에서 채택 된 정규화 기능은 다른 지역, 계절 및 식생 유형에 따라 가뭄 심각성을 비교하는 것이 가능하다. 새로운 가뭄 지수는 관개 및 물 분배 관리 관행에 유용한 도구를 제공하여 가뭄 상황이 만연해지면서 수자원 보존 노력을 향상시킬 수 있을 것이라 판단된다.

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Interpolation Method for 3D Stereo Images Transmitted by Frame-Compatible Packing Format (프레임 호환 패킹 포맷으로 전송된 3D 스테레오 영상에 대한 내삽 방법)

  • Le, Anh Vu;Won, Chee-Sun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.6
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    • pp.61-67
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    • 2011
  • Stereoscopic 3D video can be transmitted by frame-compatible packing format to fulfill the compatibility requirement with the existing digital TV. Then, the reduced stereo image needs to be expanded to the original size at the receiver. This paper proposes an adaptive interpolation method for the discarded image lines. The horizontal line-based linear filter and NEDI6 filter are used selectively for the interpolation of each pixel. Experimental results show that the NEDI6 combined with the horizontal line-based linear filter yields better image quality than the bilinear method by around 0.6dB.

A Selective Deinterlacing Based on the Local Feature of Image (영상의 국부 특징에 기반을 둔 선택적 deinterlacing)

  • Woo, Dong-Hun;Eom, Il-Kyu;Kim, Yoo-Shin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.1C
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    • pp.140-148
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    • 2004
  • Natural images can be classified into edge or flat region. Edges have also various shapes such as long edge, texture and so on. Because the conventional deinterlacing methods commonly use one specific algorithm, they are faced with the difficulty that does not adapt various shapes of images. In this paper, a selective deinterlacing method based on the characteristics of local region of image is proposed. An input image is classified into three regions; flat region, complex edge, long edge. And then for each region, the proper method is assigned according to the characteristic of the local feature. For long edge region, the modified $NEDI(New Edge Directed Interpolation)^{[1]}$ method that interpolates long edge very well is used. The linear $filter^{[2]}$ that enhances high frequency components is used for complex edge, and the bilinear interpolation method is applied to flat region. The proposed method shows improved performance in PSNR and subjective evaluation compared with previous algorithms.

Adaptive Image Interpolation Algorithm Using Local Characteristics (영역별 특성을 고려한 적응적 영상 보간 방법)

  • Jeong, Shin-Cheol;Song, Byung-Cheol
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.5
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    • pp.111-119
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    • 2009
  • This paper presents an adaptive image interpolation algorithm using local characteristics. An input image is classified into edge region and flat low frequency region. And then, the edge region is further partitioned into directive edge region and high frequency texture region. A bilinear interpolation is applied to flat low frequency region, cubic convolution is applied to texture region, and new edge directed interpolation to directive edge region, respectively. Simulation results show that the proposed algorithm outperforms the existing interpolation methods in terms of visual quality as well as PSNR.

Acute and Chronic Exposure Assessment of Organophosphate Pesticides through the Consumption of Fruit Vegetables (과채류 섭취를 통한 유기인계 농약의 급성 및 만성노출평가)

  • Park, Byung-Jun;Gil, Keun-Hwan;Son, Kyeong-Ae;Im, Geon-Jae;Yoon, Hyunjoo;Park, Kyung-Hun;Kim, Doo-Ho;Ihm, Yangbin;Paik, Min-Kyoung
    • The Korean Journal of Pesticide Science
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    • v.18 no.2
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    • pp.95-103
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    • 2014
  • In this study, we monitored the residues of organophosphate pesticides (OP) in eight fruit vegetables grown in Korea, and assessed risk levels of acute and chronic exposure of OP through the consumption of fruit vegetables. Chlorpyrifos, EPN, methidathion and phosphamidon in eight fruit vegetables were detected in this study. The results of cumulative assessment of national estimated short term intake for acute exposure of OP were due to the following order; eggplant, tomato, squash and cucumber. Total theoretical maximum daily intake calculated at first step of chronic exposure assessment for registered OP in Korea was 76.14%, compared with acceptable daily intake ADI) based on chlorpyrifos. In addition, total national estimated maximum daily intake calculated at second step of chronic exposure assessment was 13.949%, compared with ADI. Third chronic assessment was conducted by probabilistic approach using OP residues detected in eight fruit vegetables and showed that total exposure risk was very low, corresponding to 0.0001% compared to ADI. Based on those finding, the risk of organophosphate pesticides in fruit vegetables was considered quantitatively negligible. In future, further investigation to expand the target should be followed to do more accurate and detailed risk assessment.