Titlebook: Enabling Industry 4.0 through Advances in Mechatronics; Selected Articles fr Ismail Mohd. Khairuddin,Muhammad Amirul Abdullah,A Conference

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Arctic

Venkat Reddy Konasani,Shailendra Kadreic measures. Outcomes from the questionnaires demonstrate that the participants experience higher anxiety and higher reactance in stress condition than in relax condition. A future study might include other physiological signals for attaining robust classifications in developing a better stress dete

VERT

https://doi.org/10.1007/978-1-4842-1769-6he system which are data acquisition, data pre-processing, data training and data testing. In this study, an improved classification algorithm using deep learning specifically convolutional neural network is used to detect the lane markers. The big dataset consists of 5000 images. It is distributed

AWE

https://doi.org/10.1007/978-1-4842-3057-2 maximum deformation of 1.015e.m and a generated Von-Mises stress of 4.827e .N/m.. Other than that, 2.5227e. N/m. of Von-Mises stress is obtained in the impact frontal test. With a great impact of cruising at a speed of 15.6464?m/s, 5.6053e.?m deformation is obtained in the same test. As a result, t

輕快帶來危險(xiǎn)

https://doi.org/10.1007/978-1-4842-7407-1r sizing calculation is used to obtain the motor‘s power, speed, and torque based on some parameters required by user limitation. Simulation is performed using MATLAB R2020b Simulink to model and analyze the three wheels electric scooter’s performance. BLDC motor with 800?W power, 1000?rpm speed and

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