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Smart Trajectories: Metamodeling, Reactive Architecture for Analytics, and Smart Applications [Pehme köide]

Edited by (Hassan 1er University and Hassan II University), Edited by (Sharda University, India), Edited by
  • Formaat: Paperback / softback, 334 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 26 Tables, black and white; 78 Line drawings, black and white; 48 Halftones, black and white; 126 Illustrations, black and white
  • Ilmumisaeg: 29-Jul-2024
  • Kirjastus: CRC Press
  • ISBN-10: 1032186666
  • ISBN-13: 9781032186665
Teised raamatud teemal:
Smart Trajectories: Metamodeling, Reactive Architecture for Analytics, and Smart ApplicationsSuurem pilt
  • Formaat: Paperback / softback, 334 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 26 Tables, black and white; 78 Line drawings, black and white; 48 Halftones, black and white; 126 Illustrations, black and white
  • Ilmumisaeg: 29-Jul-2024
  • Kirjastus: CRC Press
  • ISBN-10: 1032186666
  • ISBN-13: 9781032186665
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781032186665.html
Märksõnad:

This book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems.



This book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems.

Smart Trajectories: Metamodeling, Reactive Architecture for Analytics and Smart Applications deals with the representation and manipulation of smart trajectories in various applications and scenarios. Presented in three parts, the book first discusses the foundation and principles for spatial information systems, complex event processing, and building a reactive architecture. Next, the book discusses modeling and architecture in relation to smart trajectory metamodeling, mining and big trajectory data, and clustering trajectories. The final section discusses advanced applications and trends in the field, including congestion trajectory analytics and real-time Big Data analytics in cloud ecosystems. Metamodeling, distributed architectures, reactive programming, Big Data analytics, NoSQL databases, connected objects, and edge-fog-cloud computing form the basis of the concepts and applications discussed. The book also presents a number of case studies to demonstrate smart trajectories related to spatiotemporal events such as traffic congestion and pedestrian accidents.

This book is intended for graduate students in computer engineering, spatial databases, complex event processing, distributed systems, and geographical information systems (GIS). The book will also be useful for practicing traffic engineers, city managers, and environmental engineers interested in monitoring and security analysis.

1. Intelligent Distributed Computing Paradigm.
2. Multi Micro-Agent
System Middleware Model based on Event Sourcing and CQRS Patterns.
3.
Intelligent Distributed Computing Paradigm: Emergence, Challenges and Future
Research Directions.
4. Emerging Paradigm of Urban Computing: Challenges,
Applications, and Future Research Directions.
5. Complex Event Processing
Architectures for Smart City Applications.
6. Portunus: Enhancing smart city
application connectivity with complex space-time events distributed system.
7. Smart Trajectories Metamodeling.
8. A Type Level Trajectory Framework.
9.
A Distributed Reactive Trajectory Framework for Nearby Events Discovery.
10.
A Multidimensional Trajectory Model in the Context of Mobile Crowd Sensing.
11. Trajectory mining based on Process mining in RORO terminals:
Performance-Driven Analysis to support trajectories redesign.
12. Aspects
from mobility data in fog/cloud era: Directions from a pilot case study of
Hazmat transportation telemonitoring in urban area.
13. Utility assessment of
line-of-sight traffic jam and queue detection in urban environments for
intelligent road vehicles.
14. Risky Trajectory Prediction for Safe
Walkability under Intuitionistic Fuzzy Environment.
15. A real-time reactive
Service Oriented Architecture for safe urban walkability.
16. Safest
Trajectories for Pedestrian using Distributed Architecture based on Spatial
Risk Analysis and Voronoï Spatial Accessibility.
17. Towards a predictive
simulation framework of accidents risks for pedestrians based on distributed
artificial intelligence and intuitionist fuzzy modeling.
18. Trajectory to a
new shape of organizational structure, Enterprise Architect and
Organizational Audit for Governance of Information Systems Processes.
19.
Dynamic detection of fuzzy sub-congested urban traffic networks.
20.
Multi-Agent Modeling for Pedestrian Risk Assessment.
Azedine Boulmakoul, Lamia Karim, Bharat Bhushan