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
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1. Ecosystem of Open Data in Smart Cities 2. Technological Ecosystem of The Measurement Networks for Generating Open Data 3. The Ecosystem of The Internet Things to Process the Open Data 4. Introduction to Design the Project Management Ecosystem 5. Ecosystem of Project Management in Smart Cities 6. Verification of The Ecosystem for Smart Cities Projects
Cezary Orlowski is Professor of Computer Science at WSB University in Gdansk, and head of the computer science group. He is a specialist in the application of mathematical methods, especially fuzzy modelling, mathematical modelling and simulation techniques, expert systems and knowledge base systems in environmental engineering. He is also responsible for the Information Technology Research Laboratory - IBM Centre for Advanced Studies (CAS) using software delivered to the Department by IBM.