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-- Warning, deliverable only available in French -- Delivrable D02.05 of the FEM PHYSIC 2015 project WP 2: Definition of the data acquisition strategy Task 2: Choice of measuring instruments
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-- Warning, deliverable only available in French -- Delivrable D02.05 of the FEM PHYSIC 2015 project WP 2: Definition of the data acquisition strategy Task 2: Choice of measuring instruments
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-- Warning, deliverable only available in French -- Delivrable D02.05 of the FEM PHYSIC 2015 project WP 2: Definition of the data acquisition strategy Task 2: Choice of measuring instruments
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-- Warning, deliverable only available in French -- Delivrable D02.05 of the FEM PHYSIC 2015 project WP 2: Definition of the data acquisition strategy Task 2: Choice of measuring instruments
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-- Warning, deliverable only available in French -- Deliverable D02.03 of the FEM PHYSIC 2015 project Lot 2: Definition of the data acquisition strategy Task 1: Synthesis of knowledge
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This document briefly presents the methodology used to build the Ecosim and Ecospace models representing the extended Seine Bay ecosystem as well as the main results.
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This deliverable presents the main components of the final and most important result of the project, namely the integrated suite of design tools for ocean energy systems innovation, development and deployment. The toolset includes: installer, catalogues, online documentation and example test cases.
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Deliverable D5.2 “Site Characterisation – alpha version” of the DTOceanPlus project include the details of the Deployment Tool module: “Site Characterisation” (SC), and it represents the result of the work developed during the task 5.3 of the project. This document summarises both the functionalities as well as the more technical aspects of the code implemented for this module.
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The aim of this document is to present the activity carried out by the four industrial partners who validated the DTOcean+ suite against five wave energy validation scenarios.
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This report focuses on two important parameters for biofouling image analysis: the artificial light and the distance to the structure. The first section presents the available tool that was already deployed in several studies in link with industrial needs (O’Byrne et al., 2018c) and the laboratory equipment. Section 2 focuses on the automatic segmentation algorithm and the indicators of quality of assessments. Finally section 3 introduces configurations that were tested and the key results.