Big data prototype practice for unmanned surface vehicle

Shuli Jia; Liyong Ma; Shuting Zhang

doi:10.1145/3290420.3290466

Big data prototype practice for unmanned surface vehicle

Shuli Jia
, Liyong Ma^*
, Shuting Zhang

^*Corresponding author for this work

College of Automation Shanghai Marine Diesel Engine Research Institute
School of Information Science and Engineering, Harbin Institute of Technology Weihai

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

14 Scopus citations

Abstract

In recent years, unmanned surface vehicle (USV) has made great progress with the development of communication and electronic technologies. In the future, USVs will be widely used in marine tasks. USV has begun to offer a wide variety of large heterogeneous data sources. The architecture of USV big data is discussed. A prototype system of USV big data is established, and a preliminary anomaly detection application based on isolation forest method is developed. The effective anomaly detection results show that the USV big data prototype system and the anomaly detection application is feasible. The establishment of USV big data system is meaningful and the system can provide effective application services.

Original language	English
Title of host publication	ICCIP 2018 - Proceedings of 2018 4th International Conference on Communication and Information Processing
Publisher	Association for Computing Machinery
Pages	43-47
Number of pages	5
ISBN (Electronic)	9781450365345
DOIs	https://doi.org/10.1145/3290420.3290466
State	Published - 2 Nov 2018
Externally published	Yes
Event	4th International Conference on Communication and Information Processing, ICCIP 2018 - Qingdao, China Duration: 2 Nov 2018 → 4 Nov 2018

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	4th International Conference on Communication and Information Processing, ICCIP 2018
Country/Territory	China
City	Qingdao
Period	2/11/18 → 4/11/18

UN SDGs

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

SDG 14 Life Below Water

Keywords

Big data
Isolation forest
Unmanned surface vehicle (USV)

Access to Document

10.1145/3290420.3290466

Cite this

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title = "Big data prototype practice for unmanned surface vehicle",

abstract = "In recent years, unmanned surface vehicle (USV) has made great progress with the development of communication and electronic technologies. In the future, USVs will be widely used in marine tasks. USV has begun to offer a wide variety of large heterogeneous data sources. The architecture of USV big data is discussed. A prototype system of USV big data is established, and a preliminary anomaly detection application based on isolation forest method is developed. The effective anomaly detection results show that the USV big data prototype system and the anomaly detection application is feasible. The establishment of USV big data system is meaningful and the system can provide effective application services.",

keywords = "Big data, Isolation forest, Unmanned surface vehicle (USV)",

author = "Shuli Jia and Liyong Ma and Shuting Zhang",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 4th International Conference on Communication and Information Processing, ICCIP 2018 ; Conference date: 02-11-2018 Through 04-11-2018",

year = "2018",

month = nov,

day = "2",

doi = "10.1145/3290420.3290466",

language = "英语",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery ",

pages = "43--47",

booktitle = "ICCIP 2018 - Proceedings of 2018 4th International Conference on Communication and Information Processing",

address = "美国",

}

Jia, S, Ma, L & Zhang, S 2018, Big data prototype practice for unmanned surface vehicle. in ICCIP 2018 - Proceedings of 2018 4th International Conference on Communication and Information Processing. ACM International Conference Proceeding Series, Association for Computing Machinery , pp. 43-47, 4th International Conference on Communication and Information Processing, ICCIP 2018, Qingdao, China, 2/11/18. https://doi.org/10.1145/3290420.3290466

Big data prototype practice for unmanned surface vehicle. / Jia, Shuli; Ma, Liyong; Zhang, Shuting.
ICCIP 2018 - Proceedings of 2018 4th International Conference on Communication and Information Processing. Association for Computing Machinery , 2018. p. 43-47 (ACM International Conference Proceeding Series).

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

TY - GEN

T1 - Big data prototype practice for unmanned surface vehicle

AU - Jia, Shuli

AU - Ma, Liyong

AU - Zhang, Shuting

PY - 2018/11/2

Y1 - 2018/11/2

N2 - In recent years, unmanned surface vehicle (USV) has made great progress with the development of communication and electronic technologies. In the future, USVs will be widely used in marine tasks. USV has begun to offer a wide variety of large heterogeneous data sources. The architecture of USV big data is discussed. A prototype system of USV big data is established, and a preliminary anomaly detection application based on isolation forest method is developed. The effective anomaly detection results show that the USV big data prototype system and the anomaly detection application is feasible. The establishment of USV big data system is meaningful and the system can provide effective application services.

AB - In recent years, unmanned surface vehicle (USV) has made great progress with the development of communication and electronic technologies. In the future, USVs will be widely used in marine tasks. USV has begun to offer a wide variety of large heterogeneous data sources. The architecture of USV big data is discussed. A prototype system of USV big data is established, and a preliminary anomaly detection application based on isolation forest method is developed. The effective anomaly detection results show that the USV big data prototype system and the anomaly detection application is feasible. The establishment of USV big data system is meaningful and the system can provide effective application services.

KW - Big data

KW - Isolation forest

KW - Unmanned surface vehicle (USV)

UR - https://www.scopus.com/pages/publications/85062784837

U2 - 10.1145/3290420.3290466

DO - 10.1145/3290420.3290466

M3 - 会议稿件

AN - SCOPUS:85062784837

T3 - ACM International Conference Proceeding Series

SP - 43

EP - 47

BT - ICCIP 2018 - Proceedings of 2018 4th International Conference on Communication and Information Processing

PB - Association for Computing Machinery

T2 - 4th International Conference on Communication and Information Processing, ICCIP 2018

Y2 - 2 November 2018 through 4 November 2018

ER -

Big data prototype practice for unmanned surface vehicle

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this