“…As one of the five pillars of Islam the pilgrimage to Mecca (the Hajj) is central to the life of all Muslims. A network of roads radiates from the Hijaz like a giant spider's web, connecting Mecca to all parts of the Muslim world…”

“…Title in English: The roads of Upper Kurvelesh through time and space. …”

“…The zone to north and south of the Wall was a heavily militarised landscape of roads, bridges, forts, fortlets and towers, but also the towns, settlements and supply infrastructure on which the army depended…”

“…The roads less traveled relate the behind the scenes of some of the most important decisions and actions that redefined the foreign policy of Costa Rica, under the second administration of President Óscar Arias Sánchez (2006-2010). …”

Tabla de Contenidos: “…4.4.1 NLP Mainstream -- 4.4.2 Natural Language Based on Cognitive Computation -- 4.5 Representation of Knowledge Models -- 4.6 Conclusion -- References -- 5 iParking-Smart Way to Automate the Management of the Parking System for a Smart City -- 5.1 Introduction -- 5.2 Background &amp -- Literature Review -- 5.2.1 Background -- 5.2.2 Review of Literature -- 5.3 Research Gap -- 5.4 Research Problem -- 5.5 Objectives -- 5.6 Methodology -- 5.6.1 Lot Availability and Occupancy Detection -- 5.6.2 Error Analysis for GPS (Global Positioning System) -- 5.6.3 Vehicle License Plate Detection System -- 5.6.4 Analyze Differential Parking Behaviors and Pricing -- 5.6.5 Targeted Digital Advertising -- 5.6.6 Used Technologies -- 5.6.7 Specific Tools and Libraries -- 5.7 Testing and Evaluation -- 5.8 Results -- 5.9 Discussion -- 5.10 Conclusion -- References -- 6 Cognitive Cyber-Physical System Applications -- 6.1 Introduction -- 6.2 Properties of Cognitive Cyber-Physical System -- 6.3 Components of Cognitive Cyber-Physical System -- 6.4 Relationship Between Cyber-Physical System for Human-Robot -- 6.5 Applications of Cognitive Cyber-Physical System -- 6.5.1 Transportation -- 6.5.2 Industrial Automation -- 6.5.3 Healthcare and Biomedical -- 6.5.4 Clinical Infrastructure -- 6.5.5 Agriculture -- 6.6 Case Study: Road Management System Using CPS -- 6.6.1 Smart Accident Response System for Indian City -- 6.7 Conclusion -- References -- 7 Cognitive Computing -- 7.1 Introduction -- 7.2 Evolution of Cognitive System -- 7.3 Cognitive Computing Architecture -- 7.3.1 Cognitive Computing and Internet of Things -- 7.3.2 Cognitive Computing and Big Data Analysis -- 7.3.3 Cognitive Computing and Cloud Computing -- 7.4 Enabling Technologies in Cognitive Computing -- 7.4.1 Cognitive Computing and Reinforcement Learning -- 7.4.2 Cognitive Computing and Deep Learning…”

Tabla de Contenidos: “…-- 14.3 Definition of Virtual Reality -- 14.4 Virtual Reality as an Instructive Tool -- 14.5 Educator and Student Acceptance of VR Use in Education -- 14.6 Statistics of the Usage of Virtual Reality in the Education Sector -- 14.7 Enablers for Teaching with Technology -- 14.8 Virtual Reality in Modern Education: Benefits -- 14.9 Areas of VR Application in Education -- 14.10 Constraints and Challenges in the Path of VR Learning -- 14.11 The Road Ahead -- 14.12 Conclusion -- 15 Application of VR Technology in the Educational Sector -- Opportunities and Challenges 249 Sushmitha Abhishek Rao, Bonnie Rajesh and Rajesh Raut -- 15.1 An Introduction to Virtual Reality -- 15.2 Literature Review -- 15.3 Important Elements of Virtual Reality (VR) -- 15.4 Features of VR -- 15.5 Opportunities of Virtual Reality in Education -- 15.6 Challenges of Virtual Reality in Education -- 15.7 Conclusion -- 16 Is Virtual Reality Really the Future of Learning? …”

Tabla de Contenidos: “…. -- Figure 8.2 Map showing the altitude of villa sites within the region -- Figure 8.3 Lyde Green in the context of other Roman villa sites and the principal Roman roads in the region -- Figure 8.4 Map of villa sites in the region related to modern land-use -- Appendices -- Figure 9.1 Rubbings of decorated and stamped Samian ware sherds described in the catalogue -- Figure 9.2 Thin sections of the selected Roman pottery sherds -- Figure 9.3 Images of ceramic building material fabrics and mortar -- List of Tables -- Research objectives, methodologies and summary of results -- Table 2.1 Concordance of phasing between excavation areas -- The development of the landscape before the 1st millennium AD…”

Tabla de Contenidos: “…9.2 Different Levels of Charging Electric Vehicles -- 9.2.1 Level I -- 9.2.2 Level II -- 9.2.3 Level III -- 9.2.4 DC vs AC -- 9.2.5 Fast Charging -- 9.3 State-of-the-Art Fast-Charging Implementation -- 9.4 DC Fast-Charging Structure -- 9.5 Fast Chargers -- 9.5.1 Fast Chargers Working -- 9.5.2 DC Plug Connectors -- 9.5.3 EV Fast-Charging Infrastructure -- 9.6 Today's Situation and Future Needs -- 9.7 Fast-Charging Point Power Requirements -- 9.8 Recent Technologies in Fast Charging, Machine Learning, and Artificial Intelligence -- 9.8.1 Machine Learning -- 9.8.2 Artificial Intelligence -- 9.8.3 Energy Storage Materials -- 9.9 Effect of Fast Charging on EV Powertrain Systems -- 9.9.1 Battery Technology Gap and Lithium Plating -- 9.9.2 Thermal Management Systems -- 9.9.3 Battery Cycle Life -- 9.10 Grid Impacts Caused by EV Charging -- 9.10.1 Impact on Load Profile -- 9.10.2 Impact on Grid Components -- 9.10.3 Impact on Power Losses -- 9.10.4 Impact on Voltage Profile -- 9.10.5 Harmonic Impact -- 9.11 Fast-Charging Technologies on the Self-Powered Automotive Cyber-Physical Systems -- 9.12 Conclusions -- References -- Chapter 10 A Survey of VANET Routing Attacks and Defense Mechanisms in Intelligent Transportation System -- 10.1 Introduction -- 10.2 Attacks in VANET -- 10.2.1 Attack on V2V Communication -- 10.2.2 Various Attacks on Safety Applications -- 10.2.3 Attack on Infotainment Applications -- 10.3 Impacts of Attacks on VANET Routing -- 10.4 Nonintentional Misbehavior -- 10.5 Intentional Misbehavior -- 10.6 Defence Mechanism of Routing Attacks in VANET Routing -- 10.7 Intrusion Detection Techniques in VANETs -- 10.8 Anonymous Routing in VANETs -- 10.9 Challenges and Future Directions -- 10.10 Conclusion -- References -- Chapter 11 ANN-Based Cracking Model for Flexible Pavement in the Urban Roads -- 11.1 Introduction -- 11.2 Literature Review…”

“…Given a large record of real world data from test runs on public roads, recursive algorithms adjusted the unknown vehicle parameters under a broad variation of statistical assumptions for two linear gray-box models…”

“…., electrical power grids), ground transportation systems (automotives, roads, bridges and tunnels), airports…”

“…The central question is that of the link between the historical situation of the foundation, those involved, and the location of the settlement on the one hand and, on the other, the strategic importance which can be derived from these factors for the domination of territories on land and sea, roads, frontiers, other towns, a previous population etc.; in other words the connection between spatial conditions and his…”

“…Even though he was born in the United States, he remains the property of China and ultimately all roads lead to Wolong…”

“…From first glimmers to second thoughts, roads not taken, crises, breakthroughs, on to one triumphant finish after another --…”

Tabla de Contenidos: “…8.4.1 Internet Infrastructure -- 8.4.2 High Hardware and Software Cost -- 8.4.3 Less Qualified Workforce -- 8.5 Conclusion and Discussion -- References -- Chapter 9 Application of High-Performance Computing in Synchrophasor Data Management and Analysis for Power Grids -- 9.1 Introduction -- 9.2 Applications of Synchrophasor Data -- 9.2.1 Voltage Stability Analysis -- 9.2.2 Transient Stability -- 9.2.3 Out of Step Splitting Protection -- 9.2.4 Multiple Event Detection -- 9.2.5 State Estimation -- 9.2.6 Fault Detection -- 9.2.7 Loss of Main (LOM) Detection -- 9.2.8 Topology Update Detection -- 9.2.9 Oscillation Detection -- 9.3 Utility Big Data Issues Related to PMU-Driven Applications -- 9.3.1 Heterogeneous Measurement Integration -- 9.3.2 Variety and Interoperability -- 9.3.3 Volume and Velocity -- 9.3.4 Data Quality and Security -- 9.3.5 Utilization and Analytics -- 9.3.6 Visualization of Data -- 9.4 Big Data Analytics Platforms for PMU Data Processing -- 9.4.1 Hadoop -- 9.4.2 Apache Spark -- 9.4.3 Apache HBase -- 9.4.4 Apache Storm -- 9.4.5 Cloud-Based Platforms -- 9.5 Conclusions -- References -- Chapter 10 Intelligent Enterprise-Level Big Data Analytics for Modeling and Management in Smart Internet of Roads -- 10.1 Introduction -- 10.2 Fully Convolutional Deep Neural Network for Autonomous Vehicle Identification -- 10.2.1 Detection of the Bounding Box of the License Plate -- 10.2.2 Segmentation Objective -- 10.2.3 Spatial Invariances -- 10.2.4 Model Framework -- 10.2.4.1 Increasing the Layer of Transformation -- 10.2.4.2 Data Format of Sample Images -- 10.2.4.3 Applying Batch Normalization -- 10.2.4.4 Network Architecture -- 10.2.5 Role of Data -- 10.2.6 Synthesizing Samples -- 10.2.7 Invariances -- 10.2.8 Reducing Number of Features -- 10.2.9 Choosing Number of Classes -- 10.3 Experimental Setup and Results -- 10.3.1 Sparse Softmax Loss…”