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Adaptive Mobile Computing.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Migliardi, Mauro
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Elsevier Science, 2017.
Colección:Intelligent data centric systems.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Migliardi, Mauro. 
245 1 0 |a Adaptive Mobile Computing. 
264 1 |a [Place of publication not identified] :  |b Elsevier Science,  |c 2017. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Intelligent data-centric systems 
588 0 |a Print version record. 
505 0 |a Front Cover; Adaptive Mobile Computing: Advances in Processing Mobile Data Sets; Copyright; Contents; Contributors; Acknowledgments; Introduction; Part I: Generating Mobile Data; Chapter 1: Cloud Services for Smart City Applications; 1. Introduction; 2. A Short Overview on Intelligent Transportation Systems; 3. MobiWay-Middleware Connection Hub for ITS Services; 4. An Open-Source ITS Mobile App; 5. The MobiWay Platform; 6. Web Services for ITS Support; 7. Evaluation Results; 8. Conclusion; References 
505 8 |a Chapter 2: Environment Sensors Measures Processing: Integrating Real-Time and Spreadsheet-Based Data Analysis1. Introduction; 2. Environment Sensors Measure Processing: Exploiting Data Analytics for Adaptive Real-Time Data Processing; 2.1. Spreadsheet Data Sharing for Offline Data Analytics; 3. OSGi Framework Based IoT Engine for Real-Time Data Collection and Data Mashup; 3.1. Object Virtualization Layer; 3.2. Data Mashup Layer; 3.3. OSGi Framework Based IoT Engine Implementation; 4. Spreadsheet Space Layer: Spreadsheet-Based Data Sharing and Collaborative Analytics; 4.1. Platform Overview 
505 8 |a 4.2. Data Export and Import Mechanisms4.3. Data Synchronization Mechanism; 5. A Field Test Experiment: Deploying the Platform in a Real Case Scenario; 6. Conclusions; References; Further Reading; Chapter 3: Fusion of Heterogeneous Mobile Data, Challenges, and Solutions; 1. Introduction; 2. Opportunities: Application Examples; 3. Challenges; 3.1. Nontechnical Challenges; 3.2. Technical Challenges; 4. Solutions; 4.1. Platform for Sharing and Fusing Heterogeneous Mobile Data; 4.1.1. System requirements; 4.1.2. Our approach: SeRAVi; Visualization; Data retrieval 
505 8 |a 4.1.3. Current status and future direction4.2. Platform for Sharing and Generating Social Sensor Data; 4.2.1. System requirements; 4.2.2. Basic idea for sharing program codes; 4.2.3. S3 system; SSTD, SSFD, and SSOC; System architecture; 4.2.4. Comparison with existing related platforms; 4.2.5. Current status and future plan; 4.3. Game-Based Approach for Collecting Users High-Level Context; 4.3.1. Basic idea; 4.3.2. System; System architecture; Initialization; Questions about contexts; App log collection; Game design; 4.3.3. Current status and future plan; 5. Conclusions; Acknowledgments 
504 |a Includes bibliographical references and index. 
650 0 |a Mobile computing. 
650 0 |a Big data. 
650 6 |a Informatique mobile.  |0 (CaQQLa)201-0274402 
650 6 |a Donn�ees volumineuses.  |0 (CaQQLa)000284673 
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650 7 |a COMPUTERS  |x Hardware  |x General.  |2 bisacsh 
650 7 |a COMPUTERS  |x Information Technology.  |2 bisacsh 
650 7 |a COMPUTERS  |x Machine Theory.  |2 bisacsh 
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650 7 |a Big data  |2 fast  |0 (OCoLC)fst01892965 
650 7 |a Mobile computing  |2 fast  |0 (OCoLC)fst01024221 
776 0 8 |i Print version:  |z 9780128046036  |z 0128046031  |w (OCoLC)974698882 
830 0 |a Intelligent data centric systems. 
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