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

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Optimization of Waterjet Paint Removal Operation Using Artificial Neural Network,o training and testing, a back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with an average of 80% accuracy and 3.02 mean square error. This summarizes that ANN model can sufficiently estimate surface roughness in waterjet paint removal process with a

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You Are Too Loud! Classification of Psychological Conditions for Stress Detection System Using Galvic 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

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Universiti Malaysia Pahang Autonomous Shuttle Development: Lane Classification Analysis Using Convohe 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

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Eco-Design of Electric Vehicle Battery Pack for Ease of Disassembly, 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

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Experimentation on Spectra Data Regression Using Dense Multilayer Neural Networks with Common Pre-pform robustly for calibration of different datasets with only simple common pre-processing stage. Five NIR spectroscopy datasets are used and pre-processed with common individual pre-processing methods such as Gaussian Smoothing, Savitzky-Golay filter, Min–max Normalization and Extended Multiplicati

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PID Controller Based on Bird Mating Optimizer for Vibration Cancellation of Horizontal Flexible Pla model development using system identification method via bird mating optimizer (BMO) algorithm. Thereafter, the developed models were evaluated by mean square error (MSE), correlation tests and pole-zero map. The finest model is identified based on the minimum MSE, stable in a pole-zero diagram and

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