This article proposes the use of a feedforward neural network (FNN) to select the starting point for the first iteration in well-known iterative location estimation algorithms, with the research objective of finding the minimum size of a neural network that allows iterative position estimation algorithms to converge in an example positioning networ
This study conducted wind tunnel tests with consecutive deflection angle changes on a three-dimensional (3D) wing with a control surface to procure aerodynamic data by sweeping the deflection angle.Configuration changes of a wind tunnel test model, such as changing the deflection angle of control surfaces, are usually performed manually with the ve
Abstract Alluvial fans are large-scale depositional structures commonly found at the base of mountain ranges.They are relatively Electronic Circuit Board soil-rich compared to the rocky terrains, or catchment areas, from which their material originates.When frequented by debris flows (massive, muddy, rocky flows) they contribute significantly to lo
Roadway pavement surface distress information is critical for effective pavement asset management, and subsequently, transportation management agencies at all levels (i.e., federal, state, and local) dedicate a large amount of time and money to routinely evaluate pavement surface distress conditions as the core Electronic Circuit Board of their ass
Indoor localization systems are critical in various domains, particularly healthcare, Stick where real-time monitoring of elderly and dementia patients is essential.Current systems face significant challenges in achieving both high accuracy and real-time performance in indoor environments.To address this issue, this study proposes an accurate and r