• Title, Summary, Keyword: EOC

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Data modeling and architecture design for Product Recovery Management System (국제표준 MOL (Middle-Of-Life) 데이터 모델링 및 제품 복원 관리 시스템 설계)

  • Eom Ju-Myeong;Seo Seok-Hwan
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • pp.1793-1799
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    • 2006
  • 생산자 폐기 책임 규제 강화로 인하여, 제조업 영역이 제품 제조(BOL) 뿐만 아니라 사용, 보수(MOL)와 폐기(EOL)까지 확장 수명주기로 확대 되고 있다. 또한 EOL상에서 개별 제품에 대한 제품 복원 관리 시스템 (PRMS: Product Recovery Management System)에 관한 연구가 활발히 진행 되고 있다. 그러나 BOL, MOL과 EOL간의 정보 단절 문제, MOL상의 정보를 저장하고 사용할 수 없었던 문제는 EOL관리의 자동화를 저해한 큰 요인이다. 최근 유비쿼터스 기술의 발달로 개별 제품 추적이 가능해 졌지만, EOC 등의 식별부호(ID)만으로는 PRMS에 필요한 제품 정보를 얻을 수 없다. 본 논문에서는 제품 ID로부터 MOL상의 정보를 연결하고, 국제표준 기반 정보모델을 이용하는 PRMS를 개발한다. 이를 위해: (1) PRMS에 필요한 정보를 국제표준(ISO10303-239 등)을 기반으로 모델링하고, (2) 제품 ID를 통해 MOL상의 정보를 수집하여 제품 복원에 대한 의사결정을 수행할 수 있는 PRMS를 설계하고, (3) 시제품 구현을 통해 제안된 데이터 모델 및 시스템의 유효성을 검증한다.

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A Study of improvement for Incident Command Systems in Korea (우리나라 재난현장지휘체계 개선방향)

  • We, Kum-Sook;Jeong, An-Young;Eum, Se-Joon
    • Journal of Korean Society of societal Security
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    • v.4 no.1
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    • pp.39-47
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    • 2011
  • According to the current basic law of disaster and safety management, Standard Incident Command System is limited to Emergency Rescue Function, and Incident Commanders are only Fire Fighting Agencies. The main purpose of this study is to provide some suggestions to improve general-purpose of Standard ICS for various incidents. Also, there are some suggestions for Emergency Operation Centers as a coordinator and supporter of mobilizing response resources in all large scale disaster.

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Standardized Agricultural Land Use Classification Scheme at Various Spatial Resolution of Satellite Images

  • Hong Seong Min;Jung In Kyun;Park Geun Ae;Kim Seong Joon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.46 no.7
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    • pp.15-21
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    • 2004
  • This study is to present a standardized agricultural land use classification scheme at various spatial resolution (from 1 m to 30 m) of satellite images including Landsat TM, KOMPSAT-1 EOC, ASTER VNIR and IKONOS panchromatic (PAN) and multi-spectral (MS) images. The satellite images were interpreted especially for identifying agricultural land use, crop types, agricultural facilities and structures of 18 items. It was found that there is a threshold spatial resolution between 4 m and 6.6 m to identify the full items. Thus it is suggested that IKONOS fusion image (MS enhanced by PAN) is required to produce land use map for agricultural purpose.

Development of Crop Information System using Satellite Images

  • Kim, Seong-Joon;Kwon, Hyung-Joong;Park, Geun-Ae;Lee, Mi-Seon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.47 no.7
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    • pp.3-9
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    • 2005
  • A computer system for crop information was developed using Visual Basic and ArcGIS VBA. The system is operated on ArcGIS 8.3 with Microsoft Access MDB. Landsat +ETM, KOMPSAT-1 EOC, ASTER VNIR and IKONOS panchromatic (Pan) and multi-spectral (MIS) images were included in the system to extract agricultural land use items identifiable at various spatial resolutions of images. Agriculture related data inventories using crop cover information such as texture and average pixel value of each band based on crop cultivation calendar were designed and implemented. Three IKONOS images were loaded in the system to show crop cover characteristics such as rice, pear, grape, red pepper, garlic, and surface water cover of reservoir with field surveys. GIS layers such as DEM (Digital Elevation Model), stream, road, soil, land use and administration boundary were prepared to understand the related characteristics and identify the location easily.

Comparison of Visual Interpretation and Image Classification of Satellite Data

  • Lee, In-Soo;Shin, Dong-Hoon;Ahn, Seung-Mahn;Lee, Kyoo-Seock;Jeon, Seong-Woo
    • Korean Journal of Remote Sensing
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    • v.18 no.3
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    • pp.163-169
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    • 2002
  • The land uses of Korean peninsula are very complicated and high-density. Therefore, the image classification using coarse resolution satellite images may not provide good results for the land cover classification. The purpose of this paper is to compare the classification accuracy of visual interpretation with that of digital image classification of satellite remote sensing data such as 20m SPOT and 30m TM. In this study, hybrid classification was used. Classification accuracy was assessed by comparing each classification result with reference data obtained from KOMPSAT-1 EOC imagery, air photos, and field surveys.

Evidential Fusion of Multsensor Multichannel Imagery

  • Lee Sang-Hoon
    • Korean Journal of Remote Sensing
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    • v.22 no.1
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    • pp.75-85
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    • 2006
  • This paper has dealt with a data fusion for the problem of land-cover classification using multisensor imagery. Dempster-Shafer evidence theory has been employed to combine the information extracted from the multiple data of same site. The Dempster-Shafer's approach has two important advantages for remote sensing application: one is that it enables to consider a compound class which consists of several land-cover types and the other is that the incompleteness of each sensor data due to cloud-cover can be modeled for the fusion process. The image classification based on the Dempster-Shafer theory usually assumes that each sensor is represented by a single channel. The evidential approach to image classification, which utilizes a mass function obtained under the assumption of class-independent beta distribution, has been discussed for the multiple sets of mutichannel data acquired from different sensors. The proposed method has applied to the KOMPSAT-1 EOC panchromatic imagery and LANDSAT ETM+ data, which were acquired over Yongin/Nuengpyung area of Korean peninsula. The experiment has shown that it is greatly effective on the applications in which it is hard to find homogeneous regions represented by a single land-cover type in training process.

Biotop Mapping Using High-Resolution Satellite Remote Sensing Data, GIS and GPS

  • Shin Dong-Hoon;Lee Kyoo-Seock
    • Korean Journal of Remote Sensing
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    • v.20 no.5
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    • pp.329-335
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    • 2004
  • Biotop map can be utilized for nature conservation and assessment of environmental impact for human activities in urban area. High resolution satellite images such as IKONOS and KOMPSAT1-EOC were interpreted to classify land use, hydrology, impermeable pavement ratio and vegetation for biotop mapping. Wildlife habitat map and detailed vegetation map obtained from former study results were used as ground truth data. Vegetation was investigated directly for the area where the detailed vegetation map is not available. All these maps were combined and the boundaries were delineated to produce the biotop map. Within the boundary, the characteristics of each polygon were identified, and named. This study investigates the possibility of biotop mapping using high resolution satellite remote sensing data together with field data with the goal of contributing to nature conservation in urban area.

Change Detection in Land-Cover Pattern Using Region Growing Segmentation and Fuzzy Classification

  • Lee Sang-Hoon
    • Korean Journal of Remote Sensing
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    • v.21 no.1
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    • pp.83-89
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    • 2005
  • This study utilized a spatial region growing segmentation and a classification using fuzzy membership vectors to detect the changes in the images observed at different dates. Consider two co-registered images of the same scene, and one image is supposed to have the class map of the scene at the observation time. The method performs the unsupervised segmentation and the fuzzy classification for the other image, and then detects the changes in the scene by examining the changes in the fuzzy membership vectors of the segmented regions in the classification procedure. The algorithm was evaluated with simulated images and then applied to a real scene of the Korean Peninsula using the KOMPSAT-l EOC images. In the expertments, the proposed method showed a great performance for detecting changes in land-cover.

Texture Image Fusion on Wavelet Scheme with Space Borne High Resolution Imagery: An Experimental Study

  • Yoo, Hee-Young;Lee , Ki-Won
    • Korean Journal of Remote Sensing
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    • v.21 no.3
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    • pp.243-252
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    • 2005
  • Wavelet transform and its inverse processing provide the effective framework for data fusion. The purpose of this study is to investigate applicability of wavelet transform using texture images for the urban remote sensing application. We tried several experiments regarding image fusion by wavelet transform and texture imaging using high resolution images such as IKONOS and KOMPSAT EOC. As for texture images, we used homogeneity and ASM (Angular Second Moment) images according that these two types of texture images reveal detailed information of complex features of urban environment well. To find out the useful combination scheme for further applications, we performed DWT(Discrete Wavelet Transform) and IDWT(Inverse Discrete Wavelet Transform) using texture images and original images, with adding edge information on the fused images to display texture-wavelet information within edge boundaries. The edge images were obtained by the LoG (Laplacian of Gaussian) processing of original image. As the qualitative result by the visual interpretation of these experiments, the resultant image by each fusion scheme will be utilized to extract unique details of surface characterization on urban features around edge boundaries.

Effects of Atmospheric Refraction on High Resolution Image Geometry (대기 굴절이 고해상도 영상에 미치는 영향)

  • 신동석
    • Korean Journal of Remote Sensing
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    • v.12 no.1
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    • pp.81-88
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    • 1996
  • The effects of atmospheric refraction of rays on the geometry of high-resolution images such as the KOMPSAT-EOC images are described. An atmospheric refraction mechanism is modelled and the geometric errors caused by the refraction are calculated from the model simulation. This paper shows that a maximum geometric error of 1 pixel (7m) occurs from the standard atmospheric condition. Severer geometric distortions in images cause from an atmopheric abnormality.

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