Long-range low-power wireless networks and sampling strategies in electricity metering

M de Castro Tomé, PHJ Nardelli… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper studies a specific low-power wireless technology capable of reaching a long
range, namely long range (LoRa). Such a technology can be used by different applications …

Template matching-based method for intelligent invoice information identification

Y Sun, X Mao, S Hong, W Xu, G Gui - IEEE access, 2019 - ieeexplore.ieee.org
The increasing use of invoicing has created an unnecessary burden on labor and material
resources in the financial sector. This paper proposes a method to intelligently identify …

Big data processing architecture for radio signals empowered by deep learning: Concept, experiment, applications and challenges

S Zheng, S Chen, L Yang, J Zhu, Z Luo, J Hu… - IEEE …, 2018 - ieeexplore.ieee.org
In modern society, the demand for radio spectrum resources is increasing. As the
information carriers of wireless transmission data, radio signals exhibit the characteristics of …

Review of energy in the built environment

I Lampropoulos, T Alskaif, W Schram, E Bontekoe… - Smart Cities, 2020 - mdpi.com
Urban environments can be key to sustainable energy in terms of driving innovation and
action. Urban areas are responsible for a significant part of energy use and associated …

A Survey on Machine Learning‐Based Mobile Big Data Analysis: Challenges and Applications

J Xie, Z Song, Y Li, Y Zhang, H Yu… - Wireless …, 2018 - Wiley Online Library
This paper attempts to identify the requirement and the development of machine learning‐
based mobile big data (MBD) analysis through discussing the insights of challenges in the …

Convolutional neural network based models for improving super-resolution imaging

Y Sun, W Zhang, H Gu, C Liu, S Hong, W Xu… - Ieee …, 2019 - ieeexplore.ieee.org
Many fields, such as remote sensing, medical imaging, and biological detection, pose a
technical challenge for achieving super-resolution imaging. Convolutional neural networks …

Analysis and accurate prediction of user's response behavior in incentive-based demand response

D Liu, Y Sun, Y Qu, B Li, Y Xu - IEEE Access, 2018 - ieeexplore.ieee.org
Incentive-based demand response can fully mobilize a variety of demand-side resources to
participate in the electricity market, but the uncertainty of user response behavior greatly …

Real-time taxi-passenger prediction with L-CNN

K Niu, C Cheng, J Chang, H Zhang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The GPS trajectories are rich with potential information that could be used to explore the
regulation of traffic to serve the public. While that past approaches for short-term traffic …

Radio environment map construction by kriging algorithm based on mobile crowd sensing

Z Han, J Liao, Q Qi, H Sun… - … and Mobile Computing, 2019 - Wiley Online Library
In the IoT era, 5G will enable various IoT services such as broadband access everywhere,
high user and devices mobility, and connectivity of massive number of devices. Radio …

A lightweight short-term photovoltaic power prediction for edge computing

X Chang, W Li, AY Zomaya - IEEE Transactions on Green …, 2020 - ieeexplore.ieee.org
To meet the needs for energy savings in Internet of Things (IoT) systems, solar energy has
been increasingly exploited to serve as a green and renewable source to allow systems to …