'Data specification' presentation slideshows

The mCRL2 toolset

808 views • 56 slides

Greg McChesney Thesis Defense Presentation Computer Science, TTU greg.mcchesney@ttu.edu

Service Context Management for Exertion-oriented Programming. Greg McChesney Thesis Defense Presentation Computer Science, TTU greg.mcchesney@ttu.edu. Presentation Agenda . Problem Statement Objective Background knowledge Design Verification and Validation Implementation Demonstration

650 views • 50 slides

Data Representation, Data Integration and API Delivery of PDB Data

Data Representation, Data Integration and API Delivery of PDB Data. John Westbrook RCSB/PDB Rutgers University. Introduction. What are the underlying data requirements for: Data validation ? Data acquisition and exchange ? Robust interoperable APIs and databases ?.

603 views • 38 slides

Data Representation, Data Integration and API Delivery of PDB Data

Data Representation, Data Integration and API Delivery of PDB Data. John Westbrook RCSB/PDB Rutgers University. Introduction. What are the underlying data requirements for: Data validation ? Data acquisition and exchange ? Robust interoperable APIs and databases ?.

384 views • 38 slides

Peter van Oosterom (partially based on sheets of Paul Smits and Marcel Reuvers)

Infrastructure for Spatial Information in Europe INSPIRE data specification On the road to a European Elevation Data Standard AHN Gebruikersdag, 3 oktober 2007, Driebergen. Peter van Oosterom (partially based on sheets of Paul Smits and Marcel Reuvers). Outline. Introduction

450 views • 33 slides

Peter van Oosterom (partially based on sheets of Paul Smits and Marcel Reuvers)

Infrastructure for Spatial Information in Europe INSPIRE data specification On the road to a European Elevation Data Standard AHN Gebruikersdag, 3 oktober 2007, Driebergen. Peter van Oosterom (partially based on sheets of Paul Smits and Marcel Reuvers). Outline. Introduction

332 views • 33 slides

Infrastructure for Spatial Information in the European Community INSPIRE and NATURE-SDI plu s

Infrastructure for Spatial Information in the European Community INSPIRE and NATURE-SDI plu s T he expected relationship Martin Tuchyna, martin.tuchyna@jrc.it European Commission Joint Research Centre Institute for Environment and Sustainability Spatial Data Infrastructures Unit.

423 views • 32 slides

Collaboration for Beijing and Tokyo GISC prototypes

Collaboration for Beijing and Tokyo GISC prototypes. Akira Nakamori JMA ET-WISC-III 11-13.Jun.2008. List of content. Background Overview Providing datasets Metadata synchronization Remote data request Internet portal Web feed (ATOM) Plan. 1. Background. Background Overview

387 views • 28 slides

CYP IAPT measure and data structures

CYP IAPT measure and data structures. CYP IAPT Data Managers Training 28 Feb 2012 http://www.iapt.nhs.uk/cyp-iapt/routine-outcome-monitoring-as-part-of-iapt/. Plan. A guide to the overall structure of the CYP data spec Timetable for data submissions The export specification. Assessment.

394 views • 23 slides

Consultation and Testing INSPIRE Data Specifications v2.0

331 views • 19 slides

INSPIRE Data Specifications Annex II & III Themes Collaboration with projects: LC & LU

INSPIRE Data Specifications Annex II & III Themes Collaboration with projects: LC & LU. Maria Vanda Nunes de Lima Edinburgh 28 June- 1 st July 2011. Outline. INSPIRE Directive Data Specifications- Interoperability of spatial data sets and services Methodology Where we are Next steps.

188 views • 18 slides

GPS in WPF

GPS in WPF. Students: Ziv Dayan & Viki Kravchenko Instructor: Viktor Kulikov. GPS. Global Positioning System At least 24 satellites Other systems: Galileo, GLONASS, Beidou-2. Project Overview. Uses.

345 views • 17 slides

Scottish Welfare Fund

272 views • 16 slides

INSPIRE Annex II+III Data Specifications Consultation & Testing

262 views • 16 slides

Abstract Data Types (ADTs) and data structures: terminology and definitions

Abstract Data Types (ADTs) and data structures: terminology and definitions. A type is a collection of values. For example, the boolean type consists of two values, true and false ; the byte type consists of all integers between -127 and +128.

143 views • 12 slides

210 views • 8 slides

IMS Learning Object Metadata

634 views • 8 slides

INSPIRE

270 views • 8 slides