• Title/Summary/Keyword: GDPS

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Development the Geostationary Ocean Color Imager (GOCI) Data Processing System (GDPS) (정지궤도 해색탑재체(GOCI) 해양자료처리시스템(GDPS)의 개발)

  • Han, Hee-Jeong;Ryu, Joo-Hyung;Ahn, Yu-Hwan
    • Korean Journal of Remote Sensing
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    • v.26 no.2
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    • pp.239-249
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    • 2010
  • The Geostationary Ocean Color Imager (GOCI) data-processing system (GDPS), which is a software system for satellite data processing and analysis of the first geostationary ocean color observation satellite, has been developed concurrently with the development of th satellite. The GDPS has functions to generate level 2 and 3 oceanographic analytical data, from level 1B data that comprise the total radiance information, by programming a specialized atmospheric algorithm and oceanic analytical algorithms to the software module. The GDPS will be a multiversion system not only as a standard Korea Ocean Satellite Center(KOSC) operational system, but also as a basic GOCI data-processing system for researchers and other users. Additionally, the GDPS will be used to make the GOCI images available for distribution by satellite network, to calculate the lookup table for radiometric calibration coefficients, to divide/mosaic several region images, to analyze time-series satellite data. the developed GDPS system has satisfied the user requirement to complete data production within 30 minutes. This system is expected to be able to be an excellent tool for monitoring both long-term and short-term changes of ocean environmental characteristics.

Oral Cancer Early Detection - a Pressing Need for Continuing Education in Jordan

  • Hassona, Y;Sawair, F;Baqain, Z;Maayta, W;Shahin, A;Scully, C
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.17
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    • pp.7727-7730
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    • 2015
  • Aims: To identify deficiencies in the knowledge of general medical (GMPs) and dental practitioners (GDPs) regarding early detection of oral cancer, to compare differences between subgroups, and to identify educational needs for continuing education courses on this subject. Materials and Methods: 165 GDPs and 165 GMPs were directly interviewed to assess their knowledge about oral cancer using a pre-tested survey. Knowledge scores were generated from correct responses of participants to factual questions about oral cancer. Results: Few participants (15.2% of GDPs and 12.8% of GMPs) reported that they attended any continuing education courses on oral cancer during their professional career. Most participants (81.6% of GDPs and 86.3% of GMPs) admitted that their knowledge about oral cancer was not up to date and that they would need to attend continuing education courses on oral cancer if available. A few significant differences were identified between groups regarding knowledge about risk factors, clinical presentations and diagnostic techniques but the overall knowledge scores showed no significant difference between GMPs and GDPs. Conclusions: The present study identified several deficiencies in the knowledge of GMPs and GDPs regarding risk factors, clinical presentations, and diagnostic techniques of oral cancer. Interventions to correct these defects through properly designed continuing education courses are required.

STATUS OF GOCI DATA PROCESSING SYSTEM(GDPS) DEVELOPMENT

  • Han, Hee-Jeong;Ahn, Yu-Hwan;Ryu, Joo-Hyung
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.159-161
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    • 2007
  • Geostationary Ocean Color Imager (GOCI), the world-first ocean remote sensing instrument on geostationary Communication, Ocean, Meteorological Satellite (COMS), will be able to take a picture of a large region several times a day (almost with every one hour interval). We, KORDI, are in charge for developing the GOCI data processing system (GDPS) which is the basic software for processing the data from GOCI. The GDPS will be based on windows operating system to produce the GOCI level 2 data products (useful for oceanographic environmental analysis) automatically in real-time mode. Also, the GDPS will be a user-interactive program by well-organized graphical user interfaces for data processing and visualization. Its products will be the chlorophyll concentration, amount of total suspended sediments (TSS), colored dissolved organic matters (CDOM) and red tide from water leaving radiance or remote sensing reflectance. In addition, the GDPS will be able to produce daily products such as water current vector, primary productivity, water quality categorization, vegetation index, using individual observation data composed from several subscenes provided by GOCI for each slit within the target area. The resulting GOCI level 2 data will be disseminated through LRIT using satellite dissemination system and through online request and download systems. This software is carefully designed and implemented, and will be tested by sub-contractual company until the end of this year. It will need to be updated in effect with respect to new/improved algorithms and the calibration/validation activities.

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A Study on Data Processing Technology based on a open source R to improve utilization of the Geostationary Ocean Color Imager(GOCI) Products (천리안해양관측위성 산출물 활용성 향상을 위한 오픈소스 R 기반 데이터 처리기술 연구)

  • OH, Jung-Hee;CHOI, Hyun-Woo;LEE, Chol-Young;YANG, Hyun;HAN, Hee-Jeong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.4
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    • pp.215-228
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    • 2019
  • HDF5 data format is used to effectively store and distribute large volume of Geostationary Ocean Color Imager(GOCI) satellite data. The Korea Ocean Satellite Center has developed and provided a GOCI Data Processing System(GDPS) for general users who are not familiar with HDF5 format. Nevertheless, it is not easy to merge and process Hierarchical Data Format version5(HDF5) data that requires an understanding of satellite data characteristics, needs to learn how to use GDPS, and stores location and attribute information separately. Therefore, the open source R and rhdf5, data.table, and matrixStats packages were used to develop algorithm that could easily utilize satellite data in HDF5 format without the need for the process of using GDPS.

Epithelial to Mesenchymal Transition in CAPD Patients (복막의 섬유화 기전으로서의 상피중간엽전이)

  • Do, Jun-Young
    • Journal of Yeungnam Medical Science
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    • v.23 no.1
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    • pp.10-18
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    • 2006
  • Epithelial to mesenchymal transition (EMT) is an important etiologic factor for the development of peritoneal fibrosis in CAPD patients. Mesothelial cells are main source of trans-differentiated fibroblasts under stress from the bioincompatible peritoneal dialysate. In our study there was no difference in dialysate TGF-${\beta}$ and VEGF between the low and high GDP groups during an initial 12 months. However, after adjusting with D-CA125, the low GDPs group showed a significantly lower D-TGF-${\beta}$/D-CA125 and D-VEGF/CA125 during the initial 12 months. Among the adjusted peritoneal growth factors for CA125, VEGF/CA125 and TGF-b/CA125 were factors significantly associated with greater EMT in this study. Adjustment of the peritoneal growth factor for effluent CA125 (surrogate for mass of HPMCs) revealed significant association with EMT suggesting that the fibroblastoid transition from HPMCs could be affected by the amount of intraperitoneal growth factors (TGF-b, VEGF) per unit mass of HPMCs. There was significant improvement in both cell score and D-CA125 at the sixth and 12th months after switching from a high GDPs solution to a low GDPs solution. Use of icodextrin solution in patients who had average peritoneal transport showed not only better systemic effects such as decreased glucose absorption via dialysate but also preservation of the peritoneum, including less EMT and high mesothelial bulk mass. In conclusion, Therapy with low GDP solution including icodextrin may positively impact preservation of the peritoneal membrane integrity and prevention of peritoneal fibrosis with time on PD.

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DEVELOPMENT OF GOCI/COMS DATA PROCESSING SYSTEM

  • Ahn, Yu-Hwan;Shanmugam, Palanisamy;Han, Hee-Jeong;Ryu, Joo-Hyung
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.90-93
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    • 2006
  • The first Geostationary Ocean Color Imager (GOCI) onboard its Communication Ocean and Meteorological Satellite (COMS) is scheduled for launch in 2008. GOCI includes the eight visible-to-near-infrared (NIR) bands, 0.5km pixel resolution, and a coverage region of 2500 ${\times}$ 2500km centered at 36N and 130E. GOCI has had the scope of its objectives broadened to understand the role of the oceans and ocean productivity in the climate system, biogeochemical variables, geological and biological response to physical dynamics and to detect and monitor toxic algal blooms of notable extension through observations of ocean color. The special feature with GOCI is that like MODIS, MERIS and GLI, it will include the band triplets 660-680-745 for the measurements of sun-induced chlorophyll-a fluorescence signal from the ocean. The GOCI will provide SeaWiFS quality observations with frequencies of image acquisition 8 times during daytime and 2 times during nighttime. With all the above features, GOCI is considered to be a remote sensing tool with great potential to contribute to better understanding of coastal oceanic ecosystem dynamics and processes by addressing environmental features in a multidisciplinary way. To achieve the objectives of the GOCI mission, we develop the GOCI Data Processing System (GDPS) which integrates all necessary basic and advanced techniques to process the GOCI data and deliver the desired biological and geophysical products to its user community. Several useful ocean parameters estimated by in-water and other optical algorithms included in the GDPS will be used for monitoring the ocean environment of Korea and neighbouring countries and input into the models for climate change prediction.

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Development of the Bio-Optical Algorithms to Retrieve the Ocean Environmental Parameters from GOCI

  • Ryu, Joo-Hyung;Moon, Jeong-Eon;P., Shanmugam;Min, Jee-Eun;Ahn, Yu-Hwan
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.82-85
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    • 2006
  • The Geostationary Ocean Color Imager (GOCI) will be loaded in Communication, Ocean and Meteorological Satellite (COMS). To efficiently apply the GOCI data in the variety of fields, it is essential to develop the standard algorithm for estimating the concentration of ocean environmental components (, , and ). For developing the empirical algorithm, about 300 water samples and in situ measurements were collected from sea water around the Korean peninsula from 1998 to 2006. Two kinds of chlorophyll algorithms are developed by using statistical regression and fluorescence technique considering the bio-optical properties in Case-II waters. The single band algorithm for is derived by relationship between Rrs (555) and in situ concentration. The CDOM is estimated by absorption coefficient and ratio of Rrs(412)/Rrs(555). These standard algorithms will be programmed as a module of GOCI Data Processing System (GDPS) until 2008.

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Does the Rise of the Korean Wave Lead to Cosmetics Export?

  • Park, Young-Seaon
    • The Journal of Asian Finance, Economics and Business
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    • v.2 no.4
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    • pp.13-20
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    • 2015
  • The purpose of this research is to identify the relation between the Korean wave and Korean cosmetics export. Instead of using UN COMTRADE data as with other researches on the similar studies, this paper adopts Google Trends query index with keyword 'Korean drama'as a proxy variable for cultural trade. With controlling export determining factors such as GDPs of import and export countries, distance, R&D, and FTA, this paper examines whether the Korean wave represented by Google Trends contributes to the explosive increase of Korean cosmetics export in the recent years. Moreover, this study also investigates the possible effects of the Korean wave on export that could vary according to the different trade groups by classifying import countries into two groups: 74 countries worldwide and 9 ASEAN member countries. The results reveal that the Korean wave indeed leads to cosmetics export to ASEAN countries but show weak relation with cosmetics export to worldwide.

Introduction of Acquisition System, Processing System and Distributing Service for Geostationary Ocean Color Imager (GOCI) Data (정지궤도 해색탑재체(GOCI) 데이터의 수신.처리 시스템과 배포 서비스)

  • Yang, Chan-Su;Bae, Sang-Soo;Han, Hee-Jeong;Ahn, Yu-Hwan;Ryu, Joo-Hyung;Han, Tai-Hyun;Yoo, Hong-Rhyong
    • Korean Journal of Remote Sensing
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    • v.26 no.2
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    • pp.263-275
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    • 2010
  • KOSC(Korea Ocean Satellite Center), the primary operational organization for GOCI(Geostationary Ocean Color Imager), was established in KORDI(Korea Ocean Research & Development Institute). For a stable distribution service of GOCI data, various systems were installed at KOSC as follows: GOCI Data Acquisition System, Image Pre-processing System, GOCI Data Processing System, GOCI Data Distribution System, Data Management System, Total Management & Control System and External Data Exchange System. KOSC distributes the GOCI data 8 times to user at 1-hour intervals during the daytime in near-real time according to the distribution policy. Finally, we introduce the KOSC website for users to search, request and download GOCI data.