Designing of environmental information acquisition and reconstruction system based on compressed sensing

Qiuming Zhao; Bo Li; Hongjuan Yang; Gongliang Liu; Ruofei Ma

doi:10.1007/978-3-030-00557-3_58

Designing of environmental information acquisition and reconstruction system based on compressed sensing

Qiuming Zhao
, Bo Li
, Hongjuan Yang^*
, Gongliang Liu
, Ruofei Ma

^*Corresponding author for this work

School of Information Science and Engineering, Harbin Institute of Technology Weihai

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

Abstract

At present, the collection of environmental information is mostly accomplished by sensors. In order to reduce the redundancy of sensor data collection, reduce the energy consumption of nodes, improve the service life of sensors and reduce the cost of the system, a system that combines compressed sensing reconstruction with sensors is proposed in this paper to collect and reconstruct environmental information. The designed system collects the environment information with a limited number of nodes. Compressed sensing reconstructs all the data of the required area through the optimized OMP algorithm. The final information is displayed by the software based on C# designing. The final result shows that the verification system proposed in this paper can realize the accurate reconstruction of the original environmental information, and it is effective to the collection and processing of complex environmental information.

Original language	English
Title of host publication	Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings
Editors	Limin Meng, Yan Zhang
Publisher	Springer Verlag
Pages	583-593
Number of pages	11
ISBN (Print)	9783030005566
DOIs	https://doi.org/10.1007/978-3-030-00557-3_58
State	Published - 2018
Externally published	Yes
Event	3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018 - Hangzhou, China Duration: 6 Jul 2018 → 8 Jul 2018

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	251
ISSN (Print)	1867-8211

Conference

Conference	3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018
Country/Territory	China
City	Hangzhou
Period	6/07/18 → 8/07/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Compressed sensing
Environmental information collection
Orthogonal matching pursuit algorithm
Reconstruction
Visualization

Access to Document

10.1007/978-3-030-00557-3_58

Cite this

Zhao, Q., Li, B., Yang, H., Liu, G., & Ma, R. (2018). Designing of environmental information acquisition and reconstruction system based on compressed sensing. In L. Meng, & Y. Zhang (Eds.), Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings (pp. 583-593). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 251). Springer Verlag. https://doi.org/10.1007/978-3-030-00557-3_58

Zhao, Qiuming ; Li, Bo ; Yang, Hongjuan et al. / Designing of environmental information acquisition and reconstruction system based on compressed sensing. Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. editor / Limin Meng ; Yan Zhang. Springer Verlag, 2018. pp. 583-593 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{5fe76fec5451472bae53f03f97684fe1,

title = "Designing of environmental information acquisition and reconstruction system based on compressed sensing",

abstract = "At present, the collection of environmental information is mostly accomplished by sensors. In order to reduce the redundancy of sensor data collection, reduce the energy consumption of nodes, improve the service life of sensors and reduce the cost of the system, a system that combines compressed sensing reconstruction with sensors is proposed in this paper to collect and reconstruct environmental information. The designed system collects the environment information with a limited number of nodes. Compressed sensing reconstructs all the data of the required area through the optimized OMP algorithm. The final information is displayed by the software based on C\# designing. The final result shows that the verification system proposed in this paper can realize the accurate reconstruction of the original environmental information, and it is effective to the collection and processing of complex environmental information.",

keywords = "Compressed sensing, Environmental information collection, Orthogonal matching pursuit algorithm, Reconstruction, Visualization",

author = "Qiuming Zhao and Bo Li and Hongjuan Yang and Gongliang Liu and Ruofei Ma",

note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.; 3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018 ; Conference date: 06-07-2018 Through 08-07-2018",

year = "2018",

doi = "10.1007/978-3-030-00557-3\_58",

language = "英语",

isbn = "9783030005566",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Verlag",

pages = "583--593",

editor = "Limin Meng and Yan Zhang",

booktitle = "Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings",

address = "德国",

}

Zhao, Q, Li, B , Yang, H , Liu, G & Ma, R 2018, Designing of environmental information acquisition and reconstruction system based on compressed sensing. in L Meng & Y Zhang (eds), Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 251, Springer Verlag, pp. 583-593, 3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018, Hangzhou, China, 6/07/18. https://doi.org/10.1007/978-3-030-00557-3_58

Designing of environmental information acquisition and reconstruction system based on compressed sensing. / Zhao, Qiuming; Li, Bo ; Yang, Hongjuan et al.
Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. ed. / Limin Meng; Yan Zhang. Springer Verlag, 2018. p. 583-593 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 251).

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

TY - GEN

T1 - Designing of environmental information acquisition and reconstruction system based on compressed sensing

AU - Zhao, Qiuming

AU - Li, Bo

AU - Yang, Hongjuan

AU - Liu, Gongliang

AU - Ma, Ruofei

N1 - Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.

PY - 2018

Y1 - 2018

N2 - At present, the collection of environmental information is mostly accomplished by sensors. In order to reduce the redundancy of sensor data collection, reduce the energy consumption of nodes, improve the service life of sensors and reduce the cost of the system, a system that combines compressed sensing reconstruction with sensors is proposed in this paper to collect and reconstruct environmental information. The designed system collects the environment information with a limited number of nodes. Compressed sensing reconstructs all the data of the required area through the optimized OMP algorithm. The final information is displayed by the software based on C# designing. The final result shows that the verification system proposed in this paper can realize the accurate reconstruction of the original environmental information, and it is effective to the collection and processing of complex environmental information.

AB - At present, the collection of environmental information is mostly accomplished by sensors. In order to reduce the redundancy of sensor data collection, reduce the energy consumption of nodes, improve the service life of sensors and reduce the cost of the system, a system that combines compressed sensing reconstruction with sensors is proposed in this paper to collect and reconstruct environmental information. The designed system collects the environment information with a limited number of nodes. Compressed sensing reconstructs all the data of the required area through the optimized OMP algorithm. The final information is displayed by the software based on C# designing. The final result shows that the verification system proposed in this paper can realize the accurate reconstruction of the original environmental information, and it is effective to the collection and processing of complex environmental information.

KW - Compressed sensing

KW - Environmental information collection

KW - Orthogonal matching pursuit algorithm

KW - Reconstruction

KW - Visualization

UR - https://www.scopus.com/pages/publications/85055498399

U2 - 10.1007/978-3-030-00557-3_58

DO - 10.1007/978-3-030-00557-3_58

M3 - 会议稿件

AN - SCOPUS:85055498399

SN - 9783030005566

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 583

EP - 593

BT - Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings

A2 - Meng, Limin

A2 - Zhang, Yan

PB - Springer Verlag

T2 - 3rd International Conference on Machine Learning and Intelligent Communications, MLICOM 2018

Y2 - 6 July 2018 through 8 July 2018

ER -

Zhao Q, Li B , Yang H , Liu G , Ma R. Designing of environmental information acquisition and reconstruction system based on compressed sensing. In Meng L, Zhang Y, editors, Machine Learning and Intelligent Communications - 3rd International Conference, MLICOM 2018, Proceedings. Springer Verlag. 2018. p. 583-593. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-00557-3_58

Designing of environmental information acquisition and reconstruction system based on compressed sensing

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this