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Amarul Talip
Preferred name
Amarul Talip
Official Name
Amarul, Talip
Alternative Name
Amarul, T.
Amarul, T.
Talip, Amarul
Main Affiliation
Scopus Author ID
57204806258
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PublicationThe development of factory monitoring in high radio frequency interference using ArduinoThe objective of this documentation is to detect and monitor the Radio Frequency Interference (RFI) or Electromagnetic Interference (EMI) by using the specific module and system that will fully complied with detailed explanations on engineering aspect regarding the knowledge gained and valuable experiences that I have learned during this proposal period. The mechanism used in this system is the module of Arduino Mega 2560 that act as the main platform for acquiring RFI from the specific sensor and will convey the signal into information that will link to the Programmable Logic Controller (PLC) in the certain way and method of communication through all of the devices. In order to show the supportive toward the Industrial Revolution 4.0 the system is integrated by IOT gateway device that will monitor the data in term of cloud-based using the SIMATIC IOT 2000 as the data storage flatform.
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PublicationDevelopment of posture estimation monitoring system for back pain diseasesThe common problems occured among the people who need to sit in a long time are the affected postural position that lead to the back pain diseases. The sitting position of a person determine the health condition of the backbone. Many cases of back pain diseases because of the bad routine are reported for both gender. By maintaining the good posture and actively move signifanctly improved the health condition. Nowadays, people all use internet in their daily life including for the healthcare management. Wearable electronic device that improve the quality of life became the main focus of this century from simple hearing aid to the full health monitoring smartwatches with different functions and specifications. The project starts with the design stage, software modification and hardware construction with using an IMU sensor, a flex sensor and a microprocessor-WeMos ESP8266 D1 R2 with Wi-Fi built in. This report devote the design, development and experimental process of this wearable posture estimation monitoring system that uses multiple sensors to measure the back posture of a user in real time and alert them with the notification from their smartphone.
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