Detecting associations between parameters of printed Yagi antenna based on MIC

Zifan Wang; Xiaoying Zhao

doi:10.1109/ICCSN.2017.8230200

Detecting associations between parameters of printed Yagi antenna based on MIC

Zifan Wang
, Xiaoying Zhao

School of Electronic and Information Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

To achieve better antenna performance, the optimization algorithms, changing the parameters of antenna configuration, have been widely applied in antenna design field. However, different physical parameters have significantly different impact on the optimization results and the awareness of their influence will improve the optimization efficiency. In this paper, Maximal Information Coefficient (MIC) is utilized to detect pairwise correlations for configuration and performance parameters of printed Yagi antenna. Finally, the relationships between these parameters have been derived by analyzing the large data sets.

Original language	English
Title of host publication	2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	694-698
Number of pages	5
ISBN (Electronic)	9781509038220
DOIs	https://doi.org/10.1109/ICCSN.2017.8230200
State	Published - 19 Dec 2017
Event	9th IEEE International Conference on Communication Software and Networks, ICCSN 2017 - Guangzhou, China Duration: 6 May 2017 → 8 May 2017

Publication series

Name	2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017
Volume	2017-January

Conference

Conference	9th IEEE International Conference on Communication Software and Networks, ICCSN 2017
Country/Territory	China
City	Guangzhou
Period	6/05/17 → 8/05/17

Keywords

maximal information coefficient
mutual information
parameter relationship
printed Yagi antenna

Access to Document

10.1109/ICCSN.2017.8230200

Cite this

Wang, Z., & Zhao, X. (2017). Detecting associations between parameters of printed Yagi antenna based on MIC. In 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017 (pp. 694-698). (2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSN.2017.8230200

Wang, Zifan ; Zhao, Xiaoying. / Detecting associations between parameters of printed Yagi antenna based on MIC. 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 694-698 (2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017).

@inproceedings{818ee1ad25214dbc8bcbfd5b3473fc77,

title = "Detecting associations between parameters of printed Yagi antenna based on MIC",

abstract = "To achieve better antenna performance, the optimization algorithms, changing the parameters of antenna configuration, have been widely applied in antenna design field. However, different physical parameters have significantly different impact on the optimization results and the awareness of their influence will improve the optimization efficiency. In this paper, Maximal Information Coefficient (MIC) is utilized to detect pairwise correlations for configuration and performance parameters of printed Yagi antenna. Finally, the relationships between these parameters have been derived by analyzing the large data sets.",

keywords = "maximal information coefficient, mutual information, parameter relationship, printed Yagi antenna",

author = "Zifan Wang and Xiaoying Zhao",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017 ; Conference date: 06-05-2017 Through 08-05-2017",

year = "2017",

month = dec,

day = "19",

doi = "10.1109/ICCSN.2017.8230200",

language = "英语",

series = "2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "694--698",

booktitle = "2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017",

address = "美国",

}

Wang, Z & Zhao, X 2017, Detecting associations between parameters of printed Yagi antenna based on MIC. in 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017. 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 694-698, 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017, Guangzhou, China, 6/05/17. https://doi.org/10.1109/ICCSN.2017.8230200

Detecting associations between parameters of printed Yagi antenna based on MIC. / Wang, Zifan; Zhao, Xiaoying.
2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 694-698 (2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wang, Zifan

AU - Zhao, Xiaoying

PY - 2017/12/19

Y1 - 2017/12/19

N2 - To achieve better antenna performance, the optimization algorithms, changing the parameters of antenna configuration, have been widely applied in antenna design field. However, different physical parameters have significantly different impact on the optimization results and the awareness of their influence will improve the optimization efficiency. In this paper, Maximal Information Coefficient (MIC) is utilized to detect pairwise correlations for configuration and performance parameters of printed Yagi antenna. Finally, the relationships between these parameters have been derived by analyzing the large data sets.

AB - To achieve better antenna performance, the optimization algorithms, changing the parameters of antenna configuration, have been widely applied in antenna design field. However, different physical parameters have significantly different impact on the optimization results and the awareness of their influence will improve the optimization efficiency. In this paper, Maximal Information Coefficient (MIC) is utilized to detect pairwise correlations for configuration and performance parameters of printed Yagi antenna. Finally, the relationships between these parameters have been derived by analyzing the large data sets.

KW - maximal information coefficient

KW - mutual information

KW - parameter relationship

KW - printed Yagi antenna

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M3 - 会议稿件

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T3 - 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017

SP - 694

EP - 698

BT - 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017

Y2 - 6 May 2017 through 8 May 2017

ER -

Wang Z, Zhao X. Detecting associations between parameters of printed Yagi antenna based on MIC. In 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 694-698. (2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017). doi: 10.1109/ICCSN.2017.8230200

Detecting associations between parameters of printed Yagi antenna based on MIC

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Keywords

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