Motor fault diagnosis is an important task in the operational monitoring of electrical machines in manufacturing.This study proposes an effective bearing fault diagnosis model for electrical machinery based on machine learning techniques.The proposed model is a combination of three processes: feature extraction of signals collected from the motor b
Abstract To examine the Mobile Audio effects of short duration stress management training (SMT) on self-perceived depression, anxiety and stress in male automotive assembly workers, 118 male automotive workers from Pekan, Pahang (n = 60, mean age = 40.0 years, SD = 6.67) and Kota Bharu, Kelantan (n = 58, mean age = 38.1 years, SD = 5.86) were assig
Through a Bluetooth connection between the Muse 2 device and the meditation app, leveraging IoT capabilities.The methodology encompasses data collection, preprocessing, feature extraction, and model training, all while utilizing Internet of Things (IoT) functionalities.The Muse 2 device records EEG data from multiple electrodes, which is then proce