Management of IOT Open Data Projects in Smart Cities
  • Author : Cezary Orlowski
  • Release Date : 24 September 2020
  • Publisher : Academic Press
  • Genre : Social Science
  • Pages : 254
  • ISBN 13 : 9780128187807

Management of IOT Open Data Projects in Smart Cities Book Summary

Management of IoT Open Data Projects in Smart Cities demonstrates a key project management methodology for the implementation of Smart Cities projects: Principles and Regulations for Smart Cities (PaRSC). This methodology adopts a basis in classic Scrum soft management methods with carefully considered expansions. These include design principals for high-level architecture design and recommendations for design at the level of project teams. This approach enables the deployment of rule-based linguistic models for IoT project management, supporting the design of high-level architecture and providing rules for Scrum Smart Cities team. After reading this book, the reader will have a thorough grounding in IoT nodes and methods of their design, the acquisition and use of open data, and the use of project management methods to collect open data and build business models based on them. Presents a unified method for smart urban interventions based on the adjustment of Scrum to the complexity of smart city projects Establishes a key model for intelligent systems verification in Smart Cities projects Demonstrates how practitioners can gain from the adoption of rule-based linguistic models

Management of IOT Open Data Projects in Smart Cities

Management of IOT Open Data Projects in Smart Cities

Author : Cezary Orlowski
Publisher : Academic Press
Genre : Social Science
Total View : 344 Views
File Size : 43,9 Mb
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Management of IoT Open Data Projects in Smart Cities demonstrates a key project management methodology for the implementation of Smart Cities projects: Principles and Regulations for Smart Cities (PaRSC). This methodology adopts a basis in classic Scrum soft management methods with carefully considered expansions. These include design principals for high-level ...

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