Applications of big data analytics : trends, issues and challenges /: trends, issues and challenges. (2018)

• Record Type: Book
• Further Information: Note: Mohammed M. Alani [and 3 others], editors.
• Editors: Alani, Mohammed M
• Contents: Intro; Preface; Organization of the Book; Contents; 1 Big Data Environment for Smart Healthcare Applications Over 5G Mobile Network; 1.1 Introduction; 1.1.1 Smart Devices; 1.1.2 Future Challenges; 1.2 Background; 1.2.1 5G Enabling Technologies; 1.2.2 Infrastructure-Based RNs; 1.2.2.1 Fixed Relay Nodes; 1.2.2.2 Mobile Relay Nodes; 1.2.3 5G Network Slicing; 1.2.3.1 Data Traffic Aggregation Model; 1.2.4 Resource Allocation Scheme (RAS); 1.3 Resource Allocation Scheme Environment; 1.3.1 Related Works; 1.3.2 System Models; 1.3.2.1 Service Slices; 1.3.2.2 Virtual Network; 1.3.2.3 Physical Resources 1.3.3 Two-Tier Scheme and Resource Allocation1.3.3.1 Services Allocation; 1.3.3.2 Service Slices Strategy; 1.3.3.3 Resource Allocation; 1.4 Simulation Approach; 1.4.1 Simulation Setup; 1.4.2 QoS of Radio Bearers; 1.4.3 Radio Resource Allocation Algorithm; 1.5 Simulation Scenarios; 1.5.1 OPNET 5G Model Description; 1.5.2 Experimental Results; 1.6 Conclusion; References; 2 Challenges and Opportunities of Using Big Data for Assessing Flood Risks; 2.1 Introduction; 2.2 Impact of Flood as a Natural Disaster; 2.3 Big Data for Flood Risk Management; 2.3.1 How Can Big Data Help? 2.4 Opportunities of Big Data in Flood Risk Assessment2.5 Challenges of Predicting Flood Risks; 2.6 System Architecture Implementing Big Data; 2.6.1 Framework of the Assessment Model; 2.7 Current Research on Flood Prediction Using Big Data; 2.8 Conclusion; References; 3 A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants; 3.1 Introduction; 3.2 Approaches for Monitoring the Safety of Nuclear Power Plants; 3.3 Large Break Loss of Coolant Accidents of a PHWR; 3.4 The Neural Networks Training Methodology; 3.4.1 Performance Measures 3.4.2 Random Data Split and Normalisation of the Transient Dataset3.4.3 Training of 1-Hidden Layer MLPs and Selection of the Optimised 1-Hidden Layer MLP; 3.4.4 Training of 2-Hidden Layer MLPs and Selection of the Optimised 2-Hidden Layer MLP; 3.4.5 Training the Optimised 2-Hidden Layer MLP on Linear Interpolation Dataset and Transient Dataset; 3.5 Results; 3.5.1 The Optimised 1-Hidden Layer MLP; 3.5.2 The Optimised 2-Hidden Layer MLP; 3.5.3 Training the Optimised 2-Hidden Layer MLP on Linear Interpolation Dataset and Transient Dataset 3.5.4 Performance Comparison with the Neural Network of the Previous Work3.5.5 Performance Comparison with Exhaustive Training of All 2-Hidden Layer Architectures; 3.6 Discussion; 3.7 Conclusion; References; 4 Evolutionary Deployment and Hill Climbing-Based Movements of Multi-UAV Networks in Disaster Scenarios; 4.1 Introduction; 4.2 Related Work; 4.2.1 Deployment Problem; 4.2.2 Mobility Models for Disaster Scenarios; 4.3 Modeling Disaster Scenarios; 4.3.1 Disaster Scenario Layout; 4.3.2 Mobility of Victims; 4.3.3 0th Responders; 4.3.4 Communications in Disaster Scenarios
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 005.7; Computer science; Big data; Medical care -- Data processing; Nuclear power plants -- Design and construction; Education -- Data processing; Optical pattern recognition; Information storage and retrieva; Computer Communication Networks; Computer software; COMPUTER SCIENCE / General; Big data; Education -- Data processing; Medical care -- Data processing; Nuclear power plants -- Design and construction; Computers -- Computer Vision & Pattern Recognition; Computers -- System Administration -- Storage & Retrieval; Computers -- Hardware -- Network Hardware; Computers -- Programming -- Algorithms; Business & Economics -- Industries -- Computer Industry; Pattern recognition; Information retrieval; Network hardware; Algorithms & data structures; Business mathematics & systems; Computers -- Database Management -- General; Databases; Electronic books
• Languages: English
• ISBNs: 9783319764726; 3319764721
• Related ISBNs: 3319764713; 9783319764719
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.