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Yi-Hsing Tsai

dblp:99/7960 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
energy harvesting
0.212016
Invited - Wireless sensor nodes for environmental monitoring in internet of things · DAC 2016
Internet of things and sensor networks › wireless sensor network
environmental monitoring
0.212016
Invited - Wireless sensor nodes for environmental monitoring in internet of things · DAC 2016
Internet of things and sensor networks › wireless sensor network
wireless sensor nodes
0.212016
Invited - Wireless sensor nodes for environmental monitoring in internet of things · DAC 2016

Methods — techniques the papers use, named apart from their topics

self-powered sensing · 0.2environmental interrupt mechanism · 0.2
YearPublicationVenuePosition
2016 Invited - Wireless sensor nodes for environmental monitoring in internet of things
abstract
This paper presents a self-sustainable landslide surveillance system that detects hazardous water content level in soils and provides real-time landslide warnings to residents, without requiring wired electricity transmission. A self-powered soil water content sensor was applied as the trigger of alert event. It solves the energy supply problem by an environmental interrupt mechanism, which wakes up the sensor and communication circuits in a sensing node only when the water content in monitored soils exceeds a certain threshold, and thus completely eliminates the need for an ALS node to periodically wake up, sense and communicate. By tightly integrating energy harvesting, environment sensing and circuit wake-up, it may well be the most energy-efficient landslide surveillance system designed to monitor water content in soils in the world.
Ting-Chou Lu, Liren Huang, Yu Lee, Kun-Ju Tsai, Yu-Te Liao, Nai-Chen Cheng 0001, Yuan-Hua Chu, Yi-Hsing Tsai, Fang-Chu Chen, Tzi-cker Chiueh
DAC8