To better characterize the neural correlates of the full spectrum of reading ability, this fMRI study examined how variations in reading ability correlate with task-based brain activity during reading among a large community sample of adolescents (N = 234).In addition, complimentary approaches taking advantage of empirical as well as independent me
Evaluating the Performance of Pulsed and Continuous-Wave Lidar Wind Profilers with a Controlled Motion Experiment
While floating wind lidars provide reliable and cost-effective measurements, these measurements may be inaccurate due to the motion of the installation platforms.Prior studies have not distinguished between systematic errors associated with lidars and errors resulting from motion.This study will fill this gap by examining the impact of platform mot
Bearing Degradation Process Prediction Based on the Support Vector Machine and Markov Model
Predicting the degradation process of bearings before they reach the failure threshold is extremely important in industry.This paper proposed a novel method based on the support vector machine (SVM) and Cold/Hot Compress the Markov model to achieve this goal.Firstly, the features are extracted by time and time-frequency domain methods.However, the
Radar Maneuvering Target Motion Parameter Estimation Based on Hough Transform and Polynomial Chirplet Transform
This paper considers the problem of estimating the motion parameters of a low-observable high-speed maneuvering target with high-order motions, where the target’s complex motions will result in the range migration (RM) and Doppler frequency migration (DFM) effects within the observation time interval, which will significantly affect the rada