Special Issue Introduction
Special Issues List
Aims and Scope
Article Processing Charge
Open Access Policy
1796-2021 (Online); 2374-4367 (Print)
Prof. Maode Ma
Prof. Jalel Ben-Othman, Prof. Nobuo Funabiki
Prof. Jason Z. Kang
or comments to
Assoc. Prof. Maode Ma
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
Welcome Prof. Abdelhalim Zekry from Egypt to join the Editorial board of JCM.
Volume 15, No. 6 have both been indexed by Scopus.
Volume 15, No. 7 has been published online!
Volume 12, No. 2, February 2017
Electric Energy Metering Mechanism Based on Opportunistic Electromagnetic Coupling and Big Data Resonant Cavity with Network Scheduling
, Shilin Li
, and Yonghiu Zhao
1. Yunnan Electric Power Research Institute, Kunming, 650217 China
2. Key Laboratory of Electric Power Measurement (China Southern Power Grid), Kunming, 650217 China
—Large scale electric energy measurement has the problems of big scale of data, difficult of network scheduling and low measurement accuracy. In order to solve the above problems, this paper proposed the electric energy measurement mechanism based on the electromagnetic coupling system and the big data resonant cavity. Firstly, based on the opportunity coupling mechanism, the electromagnetic opportunity structure and the opportunity control parameters, the electric energy metering opportunity electromagnetic coupling system is constructed. The system has the ability to improve the working efficiency and the energy efficiency of the electromagnetic coupling system. Secondly, the influence of the power transmission network on the electric energy measurement is further eliminated by constructing a resonant cavity based on big data and using the near field opportunity. Finally, to the circuit quality factor of the big data resonant cavity could be obtained based on the combination between capacitance of the capacitor and the parallel diode and the opportunistic electromagnetic coupling system. The experimental results show that, compared with the current transformer ratio test instrument, the proposed algorithm has the advantages of high real-time, high precision and high efficiency etc.
—electromagnetic coupling, big data resonant cavity, network scheduling
Cite: Qingchan Liu, Shilin Li, and Yonghiu Zhao, "Electric Energy Metering Mechanism Based on Opportunistic Electromagnetic Coupling and Big Data Resonant Cavity with Network Scheduling," Journal of Communications, vol. 12, no. 2, pp. 105-110, 2017. Doi: 10.12720/jcm.12.2.105-110
A 32 GHz Low-Power Low-Phase-Noise VCO Implemented in SiGe BiCMOS Technology
Real Time Virtual Animation Reconstruction Algorithm Based on Perception of Random Human Behavior and Collision Prediction
Copyright © 2013-2020 Journal of Communications, All Rights Reserved