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Big data and smart service systems /
Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Academic Press,
2017.
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| Colección: | Intelligent systems series.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Big Data and Smart Service Systems; Copyright Page; Contents; List of Contributors; Introduction; Concepts; Age of Big Data; Service Science and System; Smart Service System; Techniques and Applications of Big Data; Characteristics of Big Data; Techniques of Big Data; Application of Big Data; The Framework of the Smart Service System; Example Analysis; Government Department; Public Health; Business; Social Management; Public Safety; Intelligent Transportation; Education Industry; Conclusions; References; 1 Vision-based vehicle queue length detection method and embedded platform.
- 1.1 Introduction1.2 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; 2 Improved information feedback in symmetric dual-channel traffic; 2.1 Introduction; 2.2 CAM and Information Feedback Strategies; 2.3 Simulation Results; 2.4 Conclusions; Acknowledgments; References; 3 Secure provable data possession for big data storage; 3.1 Introduction.
- 3.2 Object Storage System Using SPDP3.2.1 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; References.
- 4 The responsive tourism logistics from local public transport domain: the case of Pattaya city4.1 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; 5 Smart cities, urban sensing, and big data: mining geo-location in social networks; 5.1 Introduction; 5.2 Systematic Literature Review; 5.2.1 Question Formulation.
- 5.2.2 Source Selection5.2.3 Information Extraction and Result Summarization; 5.3 Discussion; 5.3.1 Data Sources; 5.3.1.1 Twitter; 5.3.1.2 Foursquare; 5.3.1.3 Others; 5.3.2 Mining Techniques; 5.3.2.1 k-Means; 5.3.2.2 Self-organizing map; 5.3.2.3 Density-based clustering; 5.3.2.4 Spectral clustering; 5.3.2.5 Mean-shift; 5.3.2.6 Others; 5.3.3 Use Scenarios; 5.3.3.1 Urban characterization; 5.3.3.2 Spatial discovery; 5.3.3.3 Exception alerting; 5.4 Big Data Approach: A Case Study; 5.5 Conclusion; References.