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"Parking in cities is a challenge everywhere, but to a greater extent for the cities in low- and middle-income countries: Cities that are experiencing rapid urbanization and increasing motorization, where free on-street parking meets haphazard parking behaviour, and where investment capacity for parking infrastructure is limited.This book is a resource book for those managing the urban parking challenges especially in low- and middle-income countries. This open-access book should immediately help city authorities, engineering firms, and academia world-wide to develop data-driven solutions – solutions of a smart city – for their specific context. This perspective is reflected in the approach of the book. The first part lays out the context of geospatial technologies for urban mobility in smart cities. The second focuses on parking information and management using these technologies, with an emphasis on low and middle-income countries. The book has grown out of a project funded by the Indian Government, Advanced Parking Information and Management for Indian Traffic, a collaboration between IIT Kanpur and the University of Melbourne. "

Regional & area planning --- Highway & traffic engineering --- Transport technology & trades --- Developing countries --- Geographical information systems (GIS) & remote sensing --- developing countries; urban traffic management; mobility; tracking; data analytics; machine learning; smart parking; geoinformation systems

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This book is a collection of published articles from the Sensors Special Issue on "Convergence of Intelligent Data Acquisition and Advanced Computing Systems". It includes extended versions of the conference contributions from the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2019), Metz, France, as well as external contributions.

Technology: general issues --- Energy industries & utilities --- automotive --- current --- electric power train --- electric vehicle --- embedded systems --- delay --- detection --- distributed systems --- measurements --- power train --- sensor --- signals --- time delay estimation --- unmanned aerial vehicles --- wireless sensor networks --- intelligent data processing --- trajectory planning --- relevant data extraction --- data consensus --- Internet of Things --- precision agriculture --- system identification --- smart building --- artificial neural network --- energy efficiency --- black box modeling --- educational robotics --- data acquisition --- sensors --- ROS --- STEM --- CNN (Convolutional neural networks) --- deep learning --- pavement defects --- residual connection --- attention gate --- atrous spatial pyramid pooling --- intelligent charging --- demand response --- linear programming --- optimization --- smart parking --- smart grid --- ODE Solver --- OpenCL --- Parareal --- parallel/multi-core computing --- sensing systems --- heterogenous embedded systems --- deep sparse auto-encoders --- medical diagnosis --- linear model --- data classification --- PSO algorithm --- safety-related system --- component --- FPGA-designing --- logical and power-oriented checkability --- hidden faults --- clock signal --- consumed and dissipated power --- temperature and current consumption sensors --- n/a

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• Reference Manager
• EndNote
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This book is a collection of published articles from the Sensors Special Issue on "Convergence of Intelligent Data Acquisition and Advanced Computing Systems". It includes extended versions of the conference contributions from the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2019), Metz, France, as well as external contributions.

automotive --- current --- electric power train --- electric vehicle --- embedded systems --- delay --- detection --- distributed systems --- measurements --- power train --- sensor --- signals --- time delay estimation --- unmanned aerial vehicles --- wireless sensor networks --- intelligent data processing --- trajectory planning --- relevant data extraction --- data consensus --- Internet of Things --- precision agriculture --- system identification --- smart building --- artificial neural network --- energy efficiency --- black box modeling --- educational robotics --- data acquisition --- sensors --- ROS --- STEM --- CNN (Convolutional neural networks) --- deep learning --- pavement defects --- residual connection --- attention gate --- atrous spatial pyramid pooling --- intelligent charging --- demand response --- linear programming --- optimization --- smart parking --- smart grid --- ODE Solver --- OpenCL --- Parareal --- parallel/multi-core computing --- sensing systems --- heterogenous embedded systems --- deep sparse auto-encoders --- medical diagnosis --- linear model --- data classification --- PSO algorithm --- safety-related system --- component --- FPGA-designing --- logical and power-oriented checkability --- hidden faults --- clock signal --- consumed and dissipated power --- temperature and current consumption sensors --- n/a