The dataprocessing software system of Geostationary Ocean Color Imager (GOCI) is composed of the image preprocessingsystem (IMPS) and the GOCI data processing system (GDPS). IMPS generate GOCI level 1B from raw sate...
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ISBN:
(纸本)9780819483911
The dataprocessing software system of Geostationary Ocean Color Imager (GOCI) is composed of the image preprocessingsystem (IMPS) and the GOCI data processing system (GDPS). IMPS generate GOCI level 1B from raw satellite data and GDPS is the post-processingsystem to generate GOCI level 2. IMPS have a radiometric correction module as IRCM and a geometric correction module named as INRSM. The former is focused on equipment's mechanical noise reduction and radiometric accuracy and the latter image navigation and image registration accuracy by landmark matching method and image mosaic method. GDPS have the atmospheric correction algorithms, as the spectral shape matching method (SSMM) and the sun glint correction algorithm (SGCA), and BRDF algorithm to solve bi-directional problem. Several Case-II water analytical algorithms, like chlorophyll concentration, suspended sediment and dissolved organic matter, are contained in GDPS. Also, GDPS will generate the value added product like water quality, fishery ground information, water current vector, etc. During in-orbit test period planned six months after successful launch of satellite, IMPS and GDPS will be verified with respect to those requirements and algorithms and functionality and accuracy by pre-defined test procedure like test, inspection, demonstration. And then those configuration parameters will be modified and the algorithm descriptions will be updated. In this paper, we will present the preliminary analyzed results of data processing system test and update planning during in-orbit test.
The Information Inference Framework presented in this paper provides a general-purpose suite of tools enabling the definition and execution of flexible and reliable dataprocessing workflows whose nodes offer applicat...
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The Information Inference Framework presented in this paper provides a general-purpose suite of tools enabling the definition and execution of flexible and reliable dataprocessing workflows whose nodes offer application-specific processing capabilities. The IIF is designed for the purpose of processing big data, and it is implemented on top of Apache Hadoop-related technologies to cope with scalability and high-performance execution requirements. As a proof of concept we will describe how the framework is used to support linking and contextualization services in the context of the OpenAIRE infrastructure for scholarly communication. (C) 2014 The Authors. Published by Elsevier B.V.
The Information Inference Framework presented in this paper provides a general-purpose suite of tools enabling the definition and execution of flexible and reliable dataprocessing workflows whose nodes offer applicat...
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The Information Inference Framework presented in this paper provides a general-purpose suite of tools enabling the definition and execution of flexible and reliable dataprocessing workflows whose nodes offer application-specific processing capabilities. The IIF is designed for the purpose of processing big data, and it is implemented on top of Apache Hadoop-related technologies to cope with scalability and high-performance execution requirements. As a proof of concept we will describe how the framework is used to support linking and contextualization services in the context of the OpenAIRE infrastructure for scholarly communication.
La présente Norme internationale spécifie les extensions à la distribution du Modèle d'Information Commun (CIM) défini dans la IEC 61970-301. Il définit un jeu standard d'extensio...
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标准号:
NF C46-909-11-2013
La présente Norme internationale spécifie les extensions à la distribution du Modèle d'Information Commun (CIM) défini dans la IEC 61970-301. Il définit un jeu standard d'extensions du modèle d'information commun (CIM), qui soutient des définitions de messages dans les Parties 3 à 9 de la IEC 61968, la IEC 61968-13 et la IEC 61968-141).Le domaine d'application de ce document est le modèle d'information qui étend la base CIM aux besoins des réseaux de distribution, ainsi qu'à l'intégration dans des systèmes d'information à l'échelle d'entreprise utilisé typiquement dans des compagnies d'électricité. Le modèle d'information est défini en UML, qui est un langage indépendant de la plateforme et programmable informatiquement, qui est utilisé pour créer des messages de définitions de la charge utiles dans différents formats requis. De cette façon, cette norme ne sera pas impactée par la spécification, le développement, et/ou le déploiement des architectures de futures générations, ou bien au travers de l'utilisation de normes ou de moyens propriétaires.
IEC 61968-11:2013 specifies the distribution extensions of the common information model (CIM) specified in IEC 61970-301. It defines a standard set of extensions of common information model (CIM), which support messag...
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标准号:
BS EN 61968-11-2013
IEC 61968-11:2013 specifies the distribution extensions of the common information model (CIM) specified in IEC 61970-301. It defines a standard set of extensions of common information model (CIM), which support message definitions in IEC 61968-3 to IEC 61968-9, IEC 61968-13 and IEC 61968-14. The scope of this standard is the information model that extends the base CIM for the needs of distribution networks, as well as for integration with enterprise-wide information systems typically used within electrical utilities. Major changes with respect to the first edition are summarized below: - Introduction of new classes to support flexible naming of identified objects. - Introduction of new classes to support single line diagrams exchange. - Consolidated transmission and distribution models for lines, transformers, switching, sensing and other auxiliary equipment.
JT-60 data processing system (DPS) possesses three-level hierarchy. At the top level of hierarchy is JT-60 inter-shot processor (MSP-ISP), which is a mainframe computer, provides communication with the JT-60 superviso...
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JT-60 data processing system (DPS) possesses three-level hierarchy. At the top level of hierarchy is JT-60 inter-shot processor (MSP-ISP), which is a mainframe computer, provides communication with the JT-60 supervisory control system and supervises the internal communication inside the DPS. The middle level of hierarchy has minicomputers and the bottom level of hierarchy has individual diagnostic subsystems, which consist of the CAMAC and VME modules. To meet the demand for advanced diagnostics, the DPS has been progressed in stages from a three-level hierarchy system, which was dependent on the processing power of the MSP-ISP, to a two-level hierarchy system, which is decentralized data processing system (New-DPS) by utilizing the UNIX-based workstations and network technology. At present, replacing the MSP-ISP with a UNIX-based workstation is under way as a final phase in building the New-DPS project. This replacement will be accomplished by October 2005. In addition, remote experiment in JT-60 is considered to be an important issue in extension of the collaborative research among the nuclear fusion community. Technical environments for this task have been developed. The participant from a remote site can set discharge parameters with assistance of the dedicated machine operating status-information tools. (c) 2006 Elsevier B.V. All rights reserved.
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