StreetSAFE - Smartphone Assisted Fault Examination: A Collaborative Road Condition Monitoring System

Citation

Lee, Wing Shum and Goh, Vik Tor and Yap, Timothy Tzen Vun (2022) StreetSAFE - Smartphone Assisted Fault Examination: A Collaborative Road Condition Monitoring System. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

[img] Text
14.LEE WING SHUM.pdf - Submitted Version
Restricted to Registered users only

Download (660kB)

Abstract

Objective 1: Design - Designing a framework for collection and processing of vehicular vibration from IoT Sensors. Objective 2: Extract - Extract relevant features in both time and frequency domain through signal transformation. Objective 3: Propose - Propose a deep-learning architecture that can accurately identify multi-class road-condition

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Sensor
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7871 Electronics--Materials
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 19 Dec 2022 09:00
Last Modified: 19 Dec 2022 09:00
URII: http://shdl.mmu.edu.my/id/eprint/10929

Downloads

Downloads per month over past year

View ItemEdit (login required)