Using Compressive Sampling to Fill Interbatch Data Gap From Low-Cost IoT Vibration Sensor-Reference-Cited by-同舟云学术

Using Compressive Sampling to Fill Interbatch Data Gap From Low-Cost IoT Vibration Sensor

Published:2022-06-15 Issue:12 Volume:9 Page:9820-9830
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Ooi Boon-Yaik¹^ORCID,Beh Woan-Lin²^ORCID,Kh'Ng Xin-Yi¹,Liew Soung-Yue³^ORCID,Shirmohammadi Shervin⁴^ORCID

Affiliation:

1. Department of Computer Science, Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman (Kampar), Kampar, Malaysia

2. Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman (Kampar), Kampar, Malaysia

3. Department of Communication and Computer Technology, Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman (Kampar), Kampar, Malaysia

4. DISCOVER Lab, University of Ottawa, Ottawa, ON, Canada

Funder

Ministry of Higher Education, Malaysia

Fundamental Research Grant Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9789736/09712647.pdf?arnumber=9712647

Reference36 articles.

1. Hybridization of intelligent techniques and ARIMA models for time series prediction

2. A hybrid neural network and ARIMA model for water quality time series prediction

3. Shape preserving spline interpolation

4. Interpolation in Time Series: An Introductive Overview of Existing Methods, Their Performance Criteria and Uncertainty Assessment

5. A collaborative IoT-gateway architecture for reliable and cost effective measurements