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20 results for “information systems development”
Figure 5. Multi-agent system information and knowledge scheme.-Design and Development a Control and Monitoring System for Greenhouse Conditions Based-On Multi Agent System
<p>The negotiations between agents are subject to optimization based on “knowledge” that is<br> derived from complete production models, yield models or even sparse models as expressed in<br> fuzzy expert rules or practical rules of thumb. In addition, pest control and plant disease models<br> provide additional information useful to the design of a successful strategy for optimal management<br> [15] (illustrated in Figure 5).</p>
Figure 7 in Developing an advanced information system to support ballast water management
Figure 7. The application of the on-demand visualization tool for assessing the risk of ballast water sourced from Providence, USA and discharged in Louisbourg, Canada.
Figure 4 in Developing an advanced information system to support ballast water management
Figure 4. An example two-level report for Incoming Vessels by Arrival Date. Level one is displayed on the left and level two is displayed on the right.
Figure 6 in Developing an advanced information system to support ballast water management
Figure 6. An example Risk Map showing environmental risk between source port Boston, USA and destination port Saint John, Canada.
Figure 5 in Developing an advanced information system to support ballast water management
Figure 5. An example two-level report for Ballast Discharge Amount (m3) by Tank Discharge Date. Level one is displayed on the left and level two is displayed on the right.
Figure 2 in Developing an advanced information system to support ballast water management
Figure 2. The Ballast Water Information System provides services to Operational Team, Data Users, Vessel Operators, and System Administrators such as: 1) facilitating data entry, validation and verification for Ballast Water Reporting Forms (BWRFs); 2) providing a search functionality for BWRFs; 3) providing basic reports on BWRF data; and 4) implementing research on risk assessment to build decision-support reports.
Figure 3 in Developing an advanced information system to support ballast water management
Figure 3. An overall view of all modules of the Ballast Water Information System.
FIG. 3 in Development of a Geographical Information System for the marine resources of Rodrigues
FIG. 3. GIS frames illustrating how the survey sites (pink diamonds) in the Rodrigues lagoon are linked to a photograph of the site, a description of the biotope, a species list and photographs of the species found at that site.
FIG. 5. GIS frames illustrating a in Development of a Geographical Information System for the marine resources of Rodrigues
FIG. 5. GIS frames illustrating a section of the biotope map from the southern lagoon to show how polygons are labelled and hyperlinked to illustrated descriptions of the constituent biotopes.
FIG. 10 in Development of a Geographical Information System for the marine resources of Rodrigues
FIG. 10. Thematic map from the GIS to show all proposed Marine Protected Areas, including those shown in figure 9 and the approximate positions of the new MPAs (orange boundaries) proposed by Shoals Rodrigues in 2003 and the Terrestrial–Marine Protected Area (green boundary) proposed by the United Nations Development Programme in 2004. Underlying the MPA boundaries layer is a biotope layer showing the Coral (red and pink infill) and Lagoon mud (brown infill) biotopes only, for clarity.
FIG. 4 in Development of a Geographical Information System for the marine resources of Rodrigues
FIG. 4. The biotope map of the Rodrigues lagoon as a vector image with the Landsat 7 ETMz satellite image of the land area as a backdrop for orientation and interpretation purposes. The biotopes are illustrated using colour schemes according to habitat groups and biotopes, as described in figure 2.
FIG. 1. True colour Landsat 7 in Development of a Geographical Information System for the marine resources of Rodrigues
FIG. 1. True colour Landsat 7 ETMz satellite image of Rodrigues as a raster image in TIF file format to form the base layer for the GIS. The island of Rodrigues is about 18 km in length.
FIG. 2 in Development of a Geographical Information System for the marine resources of Rodrigues
FIG. 2. Hierarchical biotope classification for the reef-fringed lagoon of Rodrigues. The colour bar indicates the colour used to illustrate the habitat group of biotopes in the biotope map (see figure 4).
FIG. 9 in Development of a Geographical Information System for the marine resources of Rodrigues
FIG. 9. Thematic map from the GIS to show the existing Fisheries Reserves (blue boundaries) Fisheries Act 75 (1984) and proposed Marine Reserves (yellow boundaries) and Core Areas (pink boundaries) suggested by Pearson (1988). The underlay shows the major habitat types of Coral (red); Consolidated limestone (orange); Lagoon muds (brown); Sand and rubble with moderate to dense vegetation (dark green) and with sparse vegetation (light green).
Formal Ontologies in Information Systems Development: a Systematic Review
<p>Information resources considered in single PRISMA stages.</p>
Approval System Development in Information System for Project Management in a Retail Company
Open the record for dataset details and reuse information.
Figure 1. A in Developing an advanced information system to support ballast water management
Figure 1. A timeline of important milestones in the development of the Canadian Ballast Water Information System (BWIS). BWRF = Ballast Water Reporting Forms.
Development and Evaluation of an Information Management System and Communication System for Population-wide Point-of-care Infant Sickle Cell Disease Screening
ClinicalTrials.gov study NCT06563440. IPD Sharing: NO. Countries: 2. Publications: 0.
FIG. 6 in Development of a Geographical Information System for the marine resources of Rodrigues
FIG. 6. Database form from the Access database to show the Species Record form listing sites where found and relative abundance (six-point SACFOR scale) and a hyperlink displays a photograph of the species.
FIG. 7 in Development of a Geographical Information System for the marine resources of Rodrigues
FIG. 7. Database form from the Access database illustrating how the Sites and Species Records form is linked to a site picture, biotope description, species photograph and scanned image of some species within the GIS.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.