An assessment and guidance for the prevention and transmission of tree hazard to human safety

Hao Wang; Yang Wei; Chung Kit Wu; Kim Fung Tsang; Yucheng Liu; Hongxu Zhu

doi:10.1109/ISPCE-CN.2018.8805788

An assessment and guidance for the prevention and transmission of tree hazard to human safety

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

Abstract

Trees, which spread all over the world, the great number of which causes potential threats to human. The accidents that trees fell down and injured people happened from time to time. Bad health is considered responsible for these accidents because the structure of poor-health tree is more fragile and unstable. In order to prevent these harms, a tree health algorithm has been proposed to efficiently and accurately assess tree health in this paper. Utilizing smart sensors, tree health is allowed to be assessed based on sensor-measured ambient features. Machine learning algorithm is involved to find the relationship between ambient features and tree health. This algorithm could provide valuable and important guidance for tree managers to adopt necessary measures. As a result, accidents that human safety hazarded by falling trees can be avoided.

Original language	English
Title of host publication	IEEE ISPCE-CN 2018
Subtitle of host publication	IEEE International Symposium on Product Compliance Engineering-Asia 2018
Publisher	IEEE
ISBN (Electronic)	978-1-7281-4626-3
DOIs	https://doi.org/10.1109/ISPCE-CN.2018.8805788
Publication status	Published - Dec 2018
Event	2018 IEEE International Symposium on Product Compliance Engineering-Asia (ISPCE-CN 2018) - Hong Kong & Shenzhen, China Duration: 5 Dec 2018 → 7 Dec 2018 http://www.dl2link.com/ISPCE-CN2018/index.html https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8805780

Publication series

Name	ISPCE-CN - IEEE International Symposium on Product Compliance Engineering - Asia

Conference

Conference	2018 IEEE International Symposium on Product Compliance Engineering-Asia (ISPCE-CN 2018)
Abbreviated title	ISPCE-CN 2018
Place	China
City	Hong Kong & Shenzhen
Period	5/12/18 → 7/12/18
Internet address	http://www.dl2link.com/ISPCE-CN2018/index.html https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8805780

Research Keywords

ambient features
human safety
Tree health assessment

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10.1109/ISPCE-CN.2018.8805788

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Cite this

Wang, H., Wei, Y., Wu, C. K., Tsang, K. F., Liu, Y., & Zhu, H. (2018). An assessment and guidance for the prevention and transmission of tree hazard to human safety. In IEEE ISPCE-CN 2018: IEEE International Symposium on Product Compliance Engineering-Asia 2018 Article 8805788 (ISPCE-CN - IEEE International Symposium on Product Compliance Engineering - Asia). IEEE. https://doi.org/10.1109/ISPCE-CN.2018.8805788

@inproceedings{e6ecb6b4e4fe4109afdadaeb631ce114,

title = "An assessment and guidance for the prevention and transmission of tree hazard to human safety",

abstract = "Trees, which spread all over the world, the great number of which causes potential threats to human. The accidents that trees fell down and injured people happened from time to time. Bad health is considered responsible for these accidents because the structure of poor-health tree is more fragile and unstable. In order to prevent these harms, a tree health algorithm has been proposed to efficiently and accurately assess tree health in this paper. Utilizing smart sensors, tree health is allowed to be assessed based on sensor-measured ambient features. Machine learning algorithm is involved to find the relationship between ambient features and tree health. This algorithm could provide valuable and important guidance for tree managers to adopt necessary measures. As a result, accidents that human safety hazarded by falling trees can be avoided.",

keywords = "ambient features, human safety, Tree health assessment",

author = "Hao Wang and Yang Wei and Wu, \{Chung Kit\} and Tsang, \{Kim Fung\} and Yucheng Liu and Hongxu Zhu",

year = "2018",

month = dec,

doi = "10.1109/ISPCE-CN.2018.8805788",

language = "English",

series = "ISPCE-CN - IEEE International Symposium on Product Compliance Engineering - Asia",

publisher = "IEEE",

booktitle = "IEEE ISPCE-CN 2018",

address = "United States",

note = "2018 IEEE International Symposium on Product Compliance Engineering-Asia (ISPCE-CN 2018), ISPCE-CN 2018 ; Conference date: 05-12-2018 Through 07-12-2018",

url = "http://www.dl2link.com/ISPCE-CN2018/index.html, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=8805780",

}

Wang, H , Wei, Y , Wu, CK , Tsang, KF , Liu, Y & Zhu, H 2018, An assessment and guidance for the prevention and transmission of tree hazard to human safety. in IEEE ISPCE-CN 2018: IEEE International Symposium on Product Compliance Engineering-Asia 2018., 8805788, ISPCE-CN - IEEE International Symposium on Product Compliance Engineering - Asia, IEEE, 2018 IEEE International Symposium on Product Compliance Engineering-Asia (ISPCE-CN 2018), Hong Kong & Shenzhen, China, 5/12/18. https://doi.org/10.1109/ISPCE-CN.2018.8805788

An assessment and guidance for the prevention and transmission of tree hazard to human safety. / Wang, Hao ; Wei, Yang ; Wu, Chung Kit et al.
IEEE ISPCE-CN 2018: IEEE International Symposium on Product Compliance Engineering-Asia 2018. IEEE, 2018. 8805788 (ISPCE-CN - IEEE International Symposium on Product Compliance Engineering - Asia).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - An assessment and guidance for the prevention and transmission of tree hazard to human safety

AU - Wang, Hao

AU - Wei, Yang

AU - Wu, Chung Kit

AU - Tsang, Kim Fung

AU - Liu, Yucheng

AU - Zhu, Hongxu

PY - 2018/12

Y1 - 2018/12

N2 - Trees, which spread all over the world, the great number of which causes potential threats to human. The accidents that trees fell down and injured people happened from time to time. Bad health is considered responsible for these accidents because the structure of poor-health tree is more fragile and unstable. In order to prevent these harms, a tree health algorithm has been proposed to efficiently and accurately assess tree health in this paper. Utilizing smart sensors, tree health is allowed to be assessed based on sensor-measured ambient features. Machine learning algorithm is involved to find the relationship between ambient features and tree health. This algorithm could provide valuable and important guidance for tree managers to adopt necessary measures. As a result, accidents that human safety hazarded by falling trees can be avoided.

AB - Trees, which spread all over the world, the great number of which causes potential threats to human. The accidents that trees fell down and injured people happened from time to time. Bad health is considered responsible for these accidents because the structure of poor-health tree is more fragile and unstable. In order to prevent these harms, a tree health algorithm has been proposed to efficiently and accurately assess tree health in this paper. Utilizing smart sensors, tree health is allowed to be assessed based on sensor-measured ambient features. Machine learning algorithm is involved to find the relationship between ambient features and tree health. This algorithm could provide valuable and important guidance for tree managers to adopt necessary measures. As a result, accidents that human safety hazarded by falling trees can be avoided.

KW - ambient features

KW - human safety

KW - Tree health assessment

UR - https://www.scopus.com/pages/publications/85072019321

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85072019321&origin=recordpage

U2 - 10.1109/ISPCE-CN.2018.8805788

DO - 10.1109/ISPCE-CN.2018.8805788

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - ISPCE-CN - IEEE International Symposium on Product Compliance Engineering - Asia

BT - IEEE ISPCE-CN 2018

PB - IEEE

T2 - 2018 IEEE International Symposium on Product Compliance Engineering-Asia (ISPCE-CN 2018)

Y2 - 5 December 2018 through 7 December 2018

ER -

Wang H , Wei Y , Wu CK , Tsang KF , Liu Y , Zhu H. An assessment and guidance for the prevention and transmission of tree hazard to human safety. In IEEE ISPCE-CN 2018: IEEE International Symposium on Product Compliance Engineering-Asia 2018. IEEE. 2018. 8805788. (ISPCE-CN - IEEE International Symposium on Product Compliance Engineering - Asia). doi: 10.1109/ISPCE-CN.2018.8805788

An assessment and guidance for the prevention and transmission of tree hazard to human safety

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