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Using Active and Passive Wireless Sensing Technology to Develop an Iot-Based Structural Smart Water Seepage Monitoring System(2/2)
林, 子軒
(PI)
Department of Civil Engineering
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
1/09/19
→
31/08/20
View all
View less
Keywords
graphene oxide
wireless sensor networks
passive wireless sensor
antenna sensor
SHM
IoT
water seepage detection
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Seepage
Engineering & Materials Science
100%
Smart sensors
Engineering & Materials Science
99%
Concrete construction
Engineering & Materials Science
74%
Sensors
Engineering & Materials Science
40%
Artificial intelligence
Engineering & Materials Science
34%
Concretes
Engineering & Materials Science
30%
Construction industry
Engineering & Materials Science
27%
Structural health monitoring
Engineering & Materials Science
24%
Research output
Research output per year
2021
2021
2022
2022
2
Article
Research output per year
Research output per year
Intelligent question and answer system for building information modeling and artificial intelligence of things based on the bidirectional encoder representations from transformers model
Lin, T. H.
,
Huang, Y. H.
&
Putranto, A.
,
Oct 2022
,
In:
Automation in Construction.
142
, 104483.
Research output
:
Contribution to journal
›
Article
›
peer-review
Artificial intelligence
100%
Construction industry
78%
Information systems
61%
Internet
51%
User interfaces
33%
2
Scopus citations
Smart sensor tags for seepage sensing protected by 3D-printed case for embedding in concrete structures
Lin, T. H.
,
Putranto, A.
&
Wang, Y. T.
,
17 May 2021
,
In:
Construction and Building Materials.
284
, 122784.
Research output
:
Contribution to journal
›
Article
›
peer-review
Seepage
100%
Smart sensors
99%
Concrete construction
74%
Sensors
40%
Concretes
30%
3
Scopus citations