ABSTRACT Flow control has a tremendous technological and economic impact, such as aerodynamic drag reduction on road vehicles which translates directly into fuel savings, with a consequent reduction in greenhouse gas emissions and operating costs.In recent years, machine learning has also been used to develop new approaches to flow control in place
Precise Point Positioning (PPP) makes use of the undifferenced pseudorange and copyright phase measurements with ionospheric-free (IF) combinations to achieve centimeter-level positioning accuracy.Conventionally, the IF ambiguities are estimated Wooden Blocks as float values.To improve the PPP positioning accuracy and shorten the convergence time,
This paper proposes a dynamic model to describe and forecast the dynamics of the coronavirus disease COVID-19 transmission.The model is based on an approach previously used to describe the Middle East Respiratory Syndrome (MERS) epidemic.This methodology is used to describe the COVID-19 dynamics in six countries where Crimpers the pandemic is widel
Due to long-term exposure to the wild, BLADDER insulators are prone to various defects that affect the safe operation of the power system.In recent years, the combination of drones and deep learning has provided a more intelligent solution for insulator automatic defect inspection.Positioning insulators is an important prerequisite step for defect