Big Data and Smart Service Systems

Chapter 1. Vision-based vehicle queue length detection method and embedded platform

• Abstract
• 1.1 Introduction
• 1.2 Embedded Hardware
• 1.3 Algorithms of Video-Based Vehicle Queue Length Detection
• 1.4 Program Process of DM642
• 1.5 Evaluation
• 1.6 Conclusions
• Acknowledgment
• References

Chapter 2. Improved information feedback in symmetric dual-channel traffic

• Abstract
• 2.1 Introduction
• 2.2 CAM and Information Feedback Strategies
• 2.3 Simulation Results
• 2.4 Conclusions
• Acknowledgments
• References

Chapter 3. Secure provable data possession for big data storage

• Abstract
• 3.1 Introduction
• 3.2 Object Storage System Using SPDP
• 3.3 Security Analysis and Implementation
• 3.4 Robust Auditing with Authentication System
• 3.5 Experimental Results
• 3.6 Conclusions
• References

Chapter 4. The responsive tourism logistics from local public transport domain: the case of Pattaya city

• Abstract
• 4.1 Introduction
• 4.2 Previous Research
• 4.3 Problems and Challenges
• 4.4 Tourism Demand and Supply Characteristics
• 4.5 Public Transportations
• 4.6 Proximity of Tourist Attractions
• 4.7 Capacity Flexibility Model for Responsive Transportations
• 4.8 Capacity Considerations of Baht Bus Route
• 4.9 Routing for DRT
• References

Chapter 5. Smart cities, urban sensing, and big data: mining geo-location in social networks

• Abstract
• 5.1 Introduction
• 5.2 Systematic Literature Review
• 5.3 Discussion
• 5.4 Big Data Approach: A Case Study
• 5.5 Conclusion
• References

Chapter 6. Parallel public transportation system and its application in evaluating evacuation plans for large-scale activities

• Abstract
• 6.1 Introduction
• 6.2 Framework of the PPTS
• 6.3 Modeling Participants Using Agent Model
• 6.4 Implementation on Intelligent Traffic Clouds
• 6.5 Case Study
• 6.6 Conclusions
• References

Chapter 7. Predicting financial risk from revenue reports

• Abstract
• 7.1 Introduction
• 7.2 Related Studies
• 7.3 The Framework of Risk Prediction
• 7.4 Improving the Model with Humans-in-the-Loop
• 7.5 Empirical Evaluation
• 7.6 Conclusion
• References

Chapter 8. Novel ITS based on space-air-ground collected Big Data

• Abstract
• 8.1 Introduction
• 8.2 Related R&D Areas: Their Current Situation and Future Trend
• 8.3 Main Research Contents of Novel ITS
• 8.4 Technical Solution of Novel ITS
• 8.5 Conclusions
• Acknowledgments
• References

Chapter 9. Behavior modeling and its application in an emergency management parallel system for chemical plants

• Abstract
• 9.1 Introduction
• 9.2 Closed-Loop Management of ERP
• 9.3 Refined Decomposition of an ERP
• 9.4 Application on ERP Evaluation
• 9.5 Applications in Emergency Response Training
• 9.6 Applications in Emergency Response Support
• 9.7 Conclusions
• References

Chapter 10. The next generation of enterprise knowledge management systems for the IT service industry

• Abstract
• 10.1 Introduction
• 10.2 IT Service Providers as Knowledge-Based Organizations
• 10.3 Requirements for Knowledge Management
• 10.4 Current State of Knowledge Management
• 10.5 Knowledge Management in the Era of Cognitive Computing
• 10.6 Conclusions
• References

Chapter 11. Expertise recommendation and new skill assessment with multicue semantic information

• Abstract
• 11.1 Introduction
• 11.2 Skill Assessment and Use Cases
• 11.3 Methodology
• 11.4 Empirical Study
• 11.5 Conclusion
• References

Chapter 12. On the behavioral theory of the networked firm

• Abstract
• 12.1 Background
• 12.2 Introduction
• 12.3 Network Behaviors in Firms
• 12.4 Functional Network Characteristics
• 12.5 Theoretical Challenges
• 12.6 Network Architecture as a Lens to Firm Behavior
• 12.7 Towards a Behavioral Theory of the Networked Firm
• 12.8 On the Emergence of Multiple Networks
• 12.9 Conclusions
• Acknowledgments
• References