• Title, Summary, Keyword: EOC

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Analysis of NWP GRIB Data for LEO Satellite Mission Planning (저궤도 관측위성 임무계획(Mission Planning)을 위한 기상수치예보 GRIB Data 분석)

  • Seo Jeong-Soo;Seo Seok-Bae;Bae Hee-Jin;Kim Eun-Kyou
    • Proceedings of the KSRS Conference
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    • pp.178-186
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    • 2006
  • 기상 수치예보는 (Numerical Weather Pridiction, NWP)는 바람, 기온, 등과 같은 기상요소의 시간 변화를 나타내는 물리방정식을 컴퓨터로 풀어 미래의 대기 상태를 예상하는 과학적인 방법으로 지구를 상세한 격자 2진부호(GRIdded Binary, 이하 GRIB)로 나누어 그 격자점에서의 값으로 대기 상태를 나타낸다. 지구 각지에서의 각종 관측자료를 기초로 격자점상의 현재값을 구한다. 대용량의 격자데이터는 이진형태이어서 컴퓨터, 서버 저장장치에서 동일형태 데이터로 존재한다. 우리나라 최초의 저궤도 관측 위성인 다목적 실용위성 KOMPSAT-1호(이하, 아리랑 위성1호)는 전자광학카메라(Electro Optical Camera, EOC)를 탑재하여 1999년 12월 21일에 발사된 이후 2006년 1월 현재까지 6여년간 성공적으로 임무를 수행, 7049여회의 영상을 획득하여 국가적으로 귀중한 자료로 활용하고 있다. 아리랑 위성1호는 일일 2-3회 EOC영상을 획득하고 있으며, 임무계획(Mission Planning)은 MP(Mission Planner)가 사용자로부터 자료를 수집하여 임무분석 및 계획 서브시스템(MAPS)에 의해 계산되어진 위성의 제도예측 데이터에 촬영하고자하는 목표지점 좌표를 입력하여 자동명령생성기(KSCG)에 의해 계산된 촬영 경사각도(Tilt)값을 위성에 전송하여 목표지역의 영상을 획득하게 된다. 위성영상 획득에 있어 고가의 위성을 운영하면서 기상의 상태를 정확히 예측하여 실패없이 유효한 영상을 획득하는 것이 무엇보다 중요하다. 본 논문에서는 효율적인 위성임무계획을 위한 기상수치예보 자료를 분석하여 앞으로 발사하게 될 고해상 카메라 탑제위성인 아리랑 위성2호와 3호에 적용하고자 한다. the sufficient excess reactivity to override this poisoning must be inserted, or its concentration is decreased sufficiently when its temporary shutdown is required. As ratter of fact, these have an important influence not only on reactor safety but also on economic aspect in operation. Considering these points in this study, the shutdown process was cptimized using the Pontryagin's maximum principle so that the shutdown mirth[d was improved as to restart the reactor to its fulpower at any time, but the xenon concentration did not excess the constrained allowable value during and after shutdown, at the same time all the control actions were completed within minimum time from beginning of the shutdown.및 12.36%, $101{\sim}200$일의 경우 12.78% 및 12.44%, 201일 이상의 경우 13.17% 및 11.30%로 201일 이상의 유기의 경우에만 대조구와 삭제 구간에 유의적인(p<0.05) 차이를 나타내었다.는 담수(淡水)에서 10%o의 해수(海水)

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Salvage Chemotherapy in Recurrent Platinum-Resistant or Refractory Epithelial Ovarian Cancer with Carboplatin and Distearoylphosphatidylcholine Pegylated Liposomal Doxorubicin (Lipo-Dox®)

  • Khemapech, Nipon;Oranratanaphan, S.;Termrungruanglert, W.;Lertkhachonsuk, R.;Vasurattana, A.
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.3
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    • pp.2131-2135
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    • 2013
  • Background: To evaluate the efficacy and safety of distearoylphosphatidylcholine pegylated liposomal doxorubicin (DPLD) combined with carboplatin for the treatment of platinum resistant or refractory epithelial ovarian cancer (EOC) or fallopian tube cancer. Materials and Methods: A retrospective analysis of women who received DPLD with carboplatin for recurrent EOC or fallopian tube cancer in King Chulalongkorn Memorial Hospital Thailand from January 2006 to August 2011 was conducted. Patients were identified from the medical records and data on demographic factors, stage, histology, surgical findings, cytoreduction status, and prior chemotherapies were abstracted. The efficacy and toxicity of DPLD/carboplatin were evaluated. Progression-free (PFS) and overall survival (OS) were estimated by the Kaplan-Meier method. Results: A total of 65 patients, 64 with platinum resistant or refractory epithelial ovarian cancer and 1 with fallopian tube cancer, were enrolled. DPLD and carboplatin were given for an average of 4.46 cycles per patient with a total of 273 cycles. Among the 65 evaluable patients, 0% achieved CR, 7.69% PR, 15.4% SD and 76.% PD. The overall response rate was 23.1%. With a median follow-up of 27.4 months, the median progression-free and median overall survival in the 36 patients was 4.46 months and 8.76 months respectively. In the aspect of side effects, palmar-plantar erythrodysesthesia (PPE) occurred in 33.3% (Grade I 22.2%, Grade II 11.1%) and mucositis in 41.7% (Grade I 27.8%, Grade II 13.9%) of all treatment cycles, all Grade 1 or 2. Anemia, leukopenia and thrombocytopenia occurred in 58.3% (Grade I 41.7%, Grade II 16.7%), 66.7% (Grade I 47.2%, Grade II 19.4%), and 22.2% (Grade I 16.6%, Grade II 5.56%) of cycle respectively, and were mostly Grade 1 or 2. Conclusions: DPLD, the second-generation PLD drug combined with carboplatin every 4 weeks, is effective and has low toxicity for treatment of patients with recurrent platinum-resistant or refractory epithelial ovarian cancer.

Atmospheric correction algorithms for satellite ocean color data: performance comparison of "OCTS-type" and "CZCS-type" algorithms

  • Fukushima, Hajime;Mitomi, Yasushi;Otake, Takashi;Toratani, Mitshiro
    • Proceedings of the KSRS Conference
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    • pp.307-312
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    • 1998
  • The paper first describes the atmospheric correction algorithm for the Ocean Color and Temperature Scanner (OCTS) visible band data used at Earth Observation Center (EOC) of National Space Development Agency of Japan (NASDA). It uses 10 candidate aerosol models including "Asian dust model" introduced in consideration of the unique feature of aerosols over the east Asian waters. Based on the observations at 670 and 865 nm bands where the reflectance of the water body can be discarded, the algorithm selects a pair of aerosol models that accounts best for the observed spectral reflectances to synthesize the aerosol reflectance in other bands. The paper also evaluates the performance of the algorithm by comparing the satellite estimates of water-leaving radiance and chlorophyll-a concentration with selected buoy-and ship-measured data. In comparison with the old CZCS-type atmospheric correction algorithm where the aerosol reflectance is as-sumed to be spectrally independent, the OCTS algorithm records factor 2-3 less error in estimating the normalized water-leaving radiances. In terms of chlorophyll-a concentration estimation, however, the accuracy stays vey similar compared to that of the CZCS-type algorithm. This is considered to be due to the nature of in-water algorithm which relies on spectral ratio of water-leaving radiances.

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SATELLITE ORBIT AND ATTITUDE MODELING FOR GEOMETRIC CORRECTION OF LINEAR PUSHBROOM IMAGES

  • Park, Myung-Jin;Kim, Tae-Jung
    • Proceedings of the KSRS Conference
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    • pp.543-547
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    • 2002
  • In this paper, we introduce a more improved camera modeling method for linear pushbroom images than the method proposed by Orun and Natarajan(ON). ON model shows an accuracy of within 1 pixel if more than 10 ground control points(GCPs) are provided. In general, there is high correlation between platform position and attitude parameters but ON model ignores attitude variation in order to overcome such correlation. We propose a new method that obtains an optimal solution set of parameters without ignoring the attitude variation. We first assume that attitude parameters are constant and estimate platform position's. Then we estimate platform attitude parameters using the values of estimated position parameters. As a result, we can set up an accurate camera model for a linear pushbroom satellite scene. In particular, we can apply the camera model to its surrounding scenes because our model provide sufficient information on satellite's position and attitude not only for a single scene but also for a whole imaging segment. We tested on two images: one with a pixel size 6.6m$\times$6.6m acquired from EOC(Electro Optical Camera), and the other with a pixel size 10m$\times$l0m acquired from SPOT. Our camera model procedures were applied to the images and gave satisfying results. We had obtained the root mean square errors of 0.5 pixel and 0.3 pixel with 25 GCPs and 23 GCPs, respectively.

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Automatic Extraction of Road Network using GDPA (Gradient Direction Profile Algorithm) for Transportation Geographic Analysis

  • Lee, Ki-won;Yu, Young-Chul
    • Proceedings of the KSRS Conference
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    • pp.775-779
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    • 2002
  • Currently, high-resolution satellite imagery such as KOMPSAT and IKONOS has been tentatively utilized to various types of urban engineering problems such as transportation planning, site planning, and utility management. This approach aims at software development and followed applications of remotely sensed imagery to transportation geographic analysis. At first, GDPA (Gradient Direction Profile Algorithm) and main modules in it are overviewed, and newly implemented results under MS visual programming environment are presented with main user interface, input imagery processing, and internal processing steps. Using this software, road network are automatically generated. Furthermore, this road network is used to transportation geographic analysis such as gamma index and road pattern estimation. While, this result, being produced to do-facto format of ESRI-shapefile, is used to several types of road layers to urban/transportation planning problems. In this study, road network using KOMPSAT EOC imagery and IKONOS imagery are directly compared to multiple road layers with NGI digital map with geo-coordinates, as ground truth; furthermore, accuracy evaluation is also carried out through method of computation of commission and omission error at some target area. Conclusively, the results processed in this study is thought to be one of useful cases for further researches and local government application regarding transportation geographic analysis using remotely sensed data sets.

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A Steady-State Margin Comparison between Analog and Digital Protection Systems (아날로그와 디지탈 보호계통의 정상 상태 여유도 비교)

  • Auh, Geun-Sun;Hwang, Dae-Hyun;Kim, Si-Hwan
    • Nuclear Engineering and Technology
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    • v.22 no.1
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    • pp.45-57
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    • 1990
  • A steady-state margin comparison study was performed between analog and digital protection systems. The systems compared are the thermal overpower and overtemperature delta T system of Westinghouse, and Core Protection Calculator System of Combustion Engineering, Inc. No dynamic offset was considered to eliminate the margin differences by different safety analysis methodologies. The result shows that the digital protection system has about 30% more rated power margin than the analog system in protecting against the fuel rod centerline melting. The digital protection system is shown to have almost same margin with the analog protection system in preventing the DNB at EOC (End of Cycle) even if the digital protection system has about 10% more margin at BOC(Beginning of Cycle).

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Ship Detection for KOMPSAT and RADARSAT/SAR Images: Field Experiments

  • Yang Chan-Su;Kang Chang-Gu
    • Proceedings of the KSRS Conference
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    • pp.144-147
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    • 2004
  • Two different sensors (here, KOMPSAT and RADARSAT) are considered for ship detection, and are used to delineate the detection performance for their data. The experiments are set for coastal regions of Mokpo Port and Ulsan Port and field experiments on board pilot boat are conducted to collect in situ ship validation information such as ship type and length. This paper introduce mainly the experiment result of ship detection by both RADARSAT SAR imagery and landbased RADAR data, operated by the local Authority of South Korea, so called vessel traffic system (VTS) radar. Fine imagery of Ulsan Port was acquired on June 19, 2004 and in-situ data such as wind speed and direction, taking pictures of ships and natural features were obtained aboard a pilot ship. North winds, with a maximum speed of 3.1 m/s were recorded. Ship's position, size and shape and natural features of breakwaters, oil pipeline and alongside ship were compared using SAR and VTS. It is shown that KOMPSAT/EOC has a good performance in the detection of a moving ship at a speed of 7 kts or more an hour that ship and its wake can be imaged. The detection capability of RADARSAT doesn't matter how fast ship is running and depends on a ship itself, e.g. its material, length and type. Our results indicate that SAR can be applicable to automated ship detection for a VTS and SAR combination service.

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WAVELET-BASED FOREST AREAS CLASSIFICATION BY USING HIGH RESOLUTION IMAGERY

  • Yoon Bo-Yeol;Kim Choen
    • Proceedings of the KSRS Conference
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    • pp.698-701
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    • 2005
  • This paper examines that is extracted certain information in forest areas within high resolution imagery based on wavelet transformation. First of all, study areas are selected one more species distributed spots refer to forest type map. Next, study area is cut 256 x 256 pixels size because of image processing problem in large volume data. Prior to wavelet transformation, five texture parameters (contrast, dissimilarity, entropy, homogeneity, Angular Second Moment (ASM≫ calculated by using Gray Level Co-occurrence Matrix (GLCM). Five texture images are set that shifting window size is 3x3, distance .is 1 pixel, and angle is 45 degrees used. Wavelet function is selected Daubechies 4 wavelet basis functions. Result is summarized 3 points; First, Wavelet transformation images derived from contrast, dissimilarity (texture parameters) have on effect on edge elements detection and will have probability used forest road detection. Second, Wavelet fusion images derived from texture parameters and original image can apply to forest area classification because of clustering in Homogeneous forest type structure. Third, for grading evaluation in forest fire damaged area, if data fusion of established classification method, GLCM texture extraction concept and wavelet transformation technique effectively applied forest areas (also other areas), will obtain high accuracy result.

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The Laying Hen: An Animal Model for Human Ovarian Cancer

  • Lee, Jin-Young;Song, Gwonhwa
    • Reproductive and Developmental Biology
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    • v.37 no.1
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    • pp.41-49
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    • 2013
  • Ovarian cancer is the most lethal world-wide gynecological disease among women due to the lack of molecular biomarkers to diagnose the disease at an early stage. In addition, there are few well established relevant animal models for research on human ovarian cancer. For instance, rodent models have been established through highly specialized genetic manipulations, but they are not an excellent model for human ovarian cancer because histological features are not comparable to those of women, mice have a low incidence of tumorigenesis, and they experience a protracted period of tumor development. However, the laying hen is a unique and highly relevant animal model for research on human ovarian cancer because they spontaneously develop epithelial cell-derived ovarian cancer (EOC) as occurs in women. Our research group has identified common histological and physiological aspects of ovarian tumors from women and laying hens, and we have provided evidence for several potential biomarkers to detect, monitor and target for treatment of human ovarian cancers based on the use of both genetic and epigenetic factors. Therefore, this review focuses on ovarian cancer of laying hens and relevant regulatory mechanisms, based on genetic and epigenetic aspects of the disease in order to provide new information and to highlight the advantages of the laying hen model for research in ovarian carcinogenesis.

Vegetation Change Detection in the Sihwa Embankment using Multi-Temporal Satellite Data (다중시기 위성영상을 이용한 시화 방조제 내만 식생변화탐지)

  • Jeong, Jong-Chul;Suh, Young-Sang;Kim, Sang-Wook
    • Journal of Environmental Science International
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    • v.15 no.4
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    • pp.373-378
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    • 2006
  • The western coast of South Korea is famous for its large and broad tidal lands. Nevertheless, land reclamation, which has been conducted on a large scale, such as Sihwa embankment construction project has accelerated coastal environmental changes in the embankment inland. For monitoring of environmental change, vegetation change detecting of the embankment inland were carried out and field survey data compared with Landsat TM, ETM+, IKONOS, and EOC satellite remotely sensed data. In order to utilize multi-temporal remotely sensed images effectively, all data set with pixel size were analyzed by same geometric correction method. To detect the tidal land vegetation change, the spectral characteristics and spatial resolution of Landsat TM and ETM+ images were analyzed by SMA(spectral mixture analysis). We obtained the 78.96% classification accuracy and Kappa index 0.2376 using March 2000 Landsat data. The SMA(spectral mixture analysis) results were considered with comparing of vegetation seasonal change detection method.