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Modern society is witnessing a sea change in ubiquitous computing, in which people have embraced computing systems as an indispensable part of day-to-day existence. Computation, storage, and communication abilities of smartphones, for example, have undergone monumental changes over the past decade. However, global emphasis on creating and sustaining green environments is leading to a rapid and ongoing proliferation of edge computing systems and applications. As a broad spectrum of healthcare, home, and transport applications shift to the edge of the network, near-threshold computing (NTC) is emerging as one of the promising low-power computing platforms. An NTC device sets its supply voltage close to its threshold voltage, dramatically reducing the energy consumption. Despite showing substantial promise in terms of energy efficiency, NTC is yet to see widescale commercial adoption. This is because circuits and systems operating with NTC suffer from several problems, including increased sensitivity to process variation, reliability problems, performance degradation, and security vulnerabilities, to name a few. To realize its potential, we need designs, techniques, and solutions to overcome these challenges associated with NTC circuits and systems. The readers of this book will be able to familiarize themselves with recent advances in electronics systems, focusing on near-threshold computing.

Technology: general issues --- machine learning --- neural networks --- gait analysis --- embedded system --- NTV --- NTC --- low-power --- low-voltage memory and clocking circuits --- minimum-energy design --- power-performance --- resilient adaptive computing --- edge devices --- power management --- energy efficiency --- near-threshold computing (NTC) --- deep neural network (DNN) --- accelerators --- timing error --- AI --- tensor processing unit (TPU) --- multiply and accumulate (MAC) --- reliability --- Near-Threshold Computing --- functional unit --- performance optimization --- cross-layer optimization --- machine learning --- neural networks --- gait analysis --- embedded system --- NTV --- NTC --- low-power --- low-voltage memory and clocking circuits --- minimum-energy design --- power-performance --- resilient adaptive computing --- edge devices --- power management --- energy efficiency --- near-threshold computing (NTC) --- deep neural network (DNN) --- accelerators --- timing error --- AI --- tensor processing unit (TPU) --- multiply and accumulate (MAC) --- reliability --- Near-Threshold Computing --- functional unit --- performance optimization --- cross-layer optimization

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This Special Issue “Atmospheric Conditions for Wind Energy Applications” hosts papers on aspects of remote sensing for atmospheric conditions for wind energy applications. Wind lidar technology is presented from a theoretical view on the coherent focused Doppler lidar principles. Furthermore, wind lidar for applied use for wind turbine control, wind farm wake, and gust characterizations is presented, as well as methods to reduce uncertainty when using lidar in complex terrain. Wind lidar observations are used to validate numerical model results. Wind Doppler lidar mounted on aircraft used for observing winds in hurricane conditions and Doppler radar on the ground used for very short-term wind forecasting are presented. For the offshore environment, floating lidar data processing is presented as well as an experiment with wind-profiling lidar on a ferry for model validation. Assessments of wind resources in the coastal zone using wind-profiling lidar and global wind maps using satellite data are presented..

complex flow --- Floating Lidar System (FLS) --- mesoscale --- wind energy resources --- variational analysis --- wind turbine --- wind sensing --- wind energy --- wind gusts --- wake --- wind structure --- complex terrain --- global ocean --- remote sensing forecasting --- detached eddy simulation --- five-minute ahead wind power forecasting --- tropical cyclones --- fetch effect --- aerosol --- vertical Light Detection and Ranging --- range gate length --- resource assessment --- field experiments --- remote sensing --- optical flow --- turbulence --- atmospheric boundary layer --- Doppler Wind Lidar --- offshore --- empirical equation --- Lidar --- WindSAT --- coastal wind measurement --- offshore wind speed forecasting --- Doppler wind lidar --- Doppler --- wind --- wind lidar --- cross-correlation --- QuikSCAT --- wind resource assessment --- detecting and tracking --- single-particle --- gust prediction --- NWP model --- velocity-azimuth-display algorithm --- lidar-assisted control (LAC) --- Doppler lidar --- motion estimation --- power performance testing --- lidar --- large-eddy simulations --- wind farm --- coherent Doppler lidar --- wake modeling --- probabilistic forecasting --- control --- NeoWins --- wind turbine controls --- impact prediction --- wind turbine wake --- Hazaki Oceanographical Research Station --- VAD --- virtual lidar --- Doppler radar --- IEA Wind Task 32 --- ASCAT --- wind atlas --- turbulence intensity