Big data and smart service systems / Xiwei Liu [and others].

Format
Book
Language
English
Published/​Created
London : Academic Press, ©2017.
Description
xxix, 201 pages ; 25 cm.

Availability

Copies in the Library

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Engineering Library - Stacks QA76.9.B45 B54 2017 Browse related items Request

    Details

    Subject(s)
    Series
    Intelligent systems series [More in this series]
    Bibliographic references
    Includes bibliographical references and index.
    Contents
    • Machine generated contents note: ch. 1 Vision-based vehicle queue length detection method and embedded platform / G. Xiong
    • 1.1. Introduction
    • 1.2. Embedded Hardware
    • 1.3. Algorithms of Video-Based Vehicle Queue Length Detection
    • 1.3.1. Vehicle Motion Detection
    • 1.3.2. Vehicle Presence Detection
    • 1.3.3. Threshold Selection
    • 1.3.4. Algorithm Summarization
    • 1.4. Program Process of DM642
    • 1.5. Evaluation
    • 1.6. Conclusions
    • Acknowledgment
    • References
    • ch. 2 Improved information feedback in symmetric dual-channel traffic / Y. Lv
    • 2.1. Introduction
    • 2.2. CAM and Information Feedback Strategies
    • 2.3. Simulation Results
    • 2.4. Conclusions
    • Acknowledgments
    • ch. 3 Secure provable data possession for big data storage / Q. Kong
    • 3.1. Introduction
    • 3.2. Object Storage System Using SPDP
    • 3.2.1. Object Storage System
    • 3.2.2. Definition of SPDP
    • 3.2.3. SPDP Verification Algorithm
    • 3.2.4. Hierarchical Structure
    • 3.2.5. The Architecture for SPDP Model
    • 3.3. Security Analysis and Implementation
    • 3.3.1. SPDP Performance Analysis
    • 3.3.2. Approved Directories Optimization
    • 3.3.3. Secure Protection Strategy
    • 3.4. Robust Auditing With Authentication System
    • 3.4.1. Robust Auditing
    • 3.4.2. Authorized Server
    • 3.4.3. Large Object Processing
    • 3.5. Experimental Results
    • 3.6. Conclusions
    • ch. 4 The responsive tourism logistics from local public transport domain: the case of Pattaya city / W. Ngamsirijit
    • 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
    • ch. 5 Smart cities, urban sensing, and big data: mining geo-location in social networks / T.-y. Ma
    • 5.1. Introduction
    • 5.2. Systematic Literature Review
    • 5.2.1. Question Formulation
    • 5.2.2. Source Selection
    • 5.2.3. Information Extraction and Result Summarization
    • 5.3. Discussion
    • 5.3.1. Data Sources
    • 5.3.2. Mining Techniques
    • 5.3.3. Use Scenarios
    • 5.4. Big Data Approach: A Case Study
    • 5.5. Conclusion
    • ch. 6 Parallel public transportation system and its application in evaluating evacuation plans for large-scale activities / G. Xiong
    • 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
    • ch. 7 Predicting financial risk from revenue reports / H. Li
    • 7.1. Introduction
    • 7.1.1. Background and Motivation
    • 7.1.2. Problems and Challenges
    • 7.1.3. Risk Prediction via Active Pairwise Learning
    • 7.1.4. Chapter Organization
    • 7.2. Related Studies
    • 7.3. The Framework of Risk Prediction
    • 7.3.1. Overview of the Prediction System
    • 7.3.2. Preliminaries and Notations
    • 7.3.3. The Prediction Model
    • 7.3.4. Nonlinear Dual Optimization
    • 7.4. Improving the Model With Humans-in-the-Loop
    • 7.4.1. Overview of the Active Prediction System
    • 7.4.2. Query Selection Strategy
    • 7.4.3. Definition of the LU
    • 7.4.4. Definition of the GU
    • 7.5. Empirical Evaluation
    • 7.5.1. Baselines and Accuracy Measure
    • 7.5.2. Data Set and Experimental Settings
    • 7.5.3. Result and Discussion
    • 7.6. Conclusion
    • ch. 8 Novel ITS based on space-air-ground collected Big Data / T. Teng
    • 8.1. Introduction
    • 8.2. Related R&D Areas: Their Current Situation and Future Trend
    • 8.2.1. Cloud Computing and Big Data
    • 8.2.2. Remote Sensing Spatial Information
    • 8.3. Main Research Contents of Novel ITS
    • 8.3.1. ITS Big Data Center
    • 8.3.2. ITS Cloud Computing Supporting Platform
    • 8.3.3. ITS Big Data Application and Service Platform
    • 8.4. Technical Solution of Novel ITS
    • 8.4.1. The Space-Air-Ground Big Data Collection and Transmission Technology and On-Vehicle Terminals
    • 8.4.2. The Space-Air-Ground Big Data Fusion and Mining
    • 8.4.3. The Space-Air-Ground Big Data Processing
    • 8.4.4. ITS Application of the Space-Air-Ground Big Data
    • 8.5. Conclusions
    • ch. 9 Behavior modeling and its application in an emergency management parallel system for chemical plants / G. Xiong
    • 9.1. Introduction
    • 9.2. Closed-Loop Management of ERP
    • 9.3. Refined Decomposition of an ERP
    • 9.3.1. The Base of the Refined Decomposition
    • 9.3.2. The Refined Decomposition Approach
    • 9.4. Application on ERP Evaluation
    • 9.4.1. Evaluation of the ERP Execution Time
    • 9.4.2. Usability Evaluation of the ERP
    • 9.4.3. Complexity Evaluation of ERP
    • 9.5. Applications in Emergency Response Training
    • 9.6. Applications in Emergency Response Support
    • 9.7. Conclusions
    • ch. 10 The next generation of enterprise knowledge management systems for the IT service industry / R. Anand
    • 10.1. Introduction
    • 10.2. IT Service Providers as Knowledge-Based Organizations
    • 10.2.1. Task Complexity
    • 10.2.2. Cross-Disciplinary Collaboration
    • 10.2.3. Complex Interactions
    • 10.2.4. Fluid Organizational Structure
    • 10.2.5. Information Transfer Restrictions
    • 10.2.6. Dual Status of Employees
    • 10.2.7. Time Constraints
    • 10.2.8. Continuous Education
    • 10.3. Requirements for Knowledge Management
    • 10.3.1. Knowledge Acquisition
    • 10.3.2. Knowledge Maintenance and Curation
    • 10.3.3. Knowledge Delivery
    • 10.4. Current State of Knowledge Management
    • 10.5. Knowledge Management in the Era of Cognitive Computing
    • 10.5.1. Unstructured Data
    • 10.5.2. Learning by Observation
    • 10.5.3. Virtual Agents
    • 10.6. Conclusions
    • ch. 11 Expertise recommendation and new skill assessment with multicue semantic information / J.H. Bauer
    • 11.1. Introduction
    • 11.2. Skill Assessment and Use Cases
    • 11.3. Methodology
    • 11.4. Empirical Study
    • 11.5. Conclusion
    • ch. 12 On the behavioral theory of the networked firm / H. Tuomisaari
    • 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
    • References.
    ISBN
    • 9780128120132
    • 0128120134
    OCLC
    966602585
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