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Javensius Sembiring, Rianto Adhy Sasongko, Eduardo I. Bastian, Bayu Aji Raditya and Rayhan Ekananto Limansubroto
This paper investigates the development of a deep learning-based flight control model for a tilt-rotor unmanned aerial vehicle, focusing on altitude, speed, and roll hold systems. Training data is gathered from the X-Plane flight simulator, employing a p...
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Dong-Min Seo, Hyun-Jung Woo, Won-Hwa Hong, Hyuncheol Seo and Wook-Jung Na
Unmanned aerial vehicles (UAVs) have been employed to perform aerial surveys in many industries owing to their versatility, relatively low cost, and efficiency. Ground control points (GCPs) are used for georeferencing to ensure orthophoto geolocation/pos...
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Luís Monteiro, Vanessa Santos, Mark G. Abel, Emily L. Langford, Gabriel J. Martinez and Luís Miguel Massuça
Law enforcement officers (LEOs) must maintain a certain level of physical fitness to perform occupational tasks successfully. Because of the wide variation among operators, there does not appear to be a standard fitness test battery that is appropriate t...
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Liu Han and Peng Liu
In an effort to enhance the efficiency and safety of open-pit mines, this study explores the optimization of end slope road parameters and slope structures, specifically focusing on unmanned driving lanes. A significant aspect of the study is the develop...
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Dongye Lv, Hanbing Liu, Qiang Miao, Wensheng Wang, Guojin Tan, Chengwei Shi and Hanjun Li
The passivation behavior of steel reinforcements in concrete is significantly influenced by the environment, concrete pore solution, and the passive film formed on the steel surface. The present study used electrochemical methods to successfully characte...
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