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Teng-Chieh Chan

dblp:179/3194 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

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

Computer networks · 1 · 1 first-author

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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 50% Energy-efficient computing · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › wireless sensor network
environmental monitoring
0.212016
Poster Abstract: An Extremely Long Standby Time Wireless Sensor System for Debris Flow Monitoring · IPSN 2016
Internet of things and sensor networks
wireless sensor network
0.212016
Poster Abstract: An Extremely Long Standby Time Wireless Sensor System for Debris Flow Monitoring · IPSN 2016
Embedded and real-time systems
embedded hardware
0.112016
Poster Abstract: An Extremely Long Standby Time Wireless Sensor System for Debris Flow Monitoring · IPSN 2016
Energy-efficient computing
low-power design
0.112016
Poster Abstract: An Extremely Long Standby Time Wireless Sensor System for Debris Flow Monitoring · IPSN 2016

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

vibration detection · 0.5accelerometer · 0.5GPS trajectory · 0.5
YearPublicationVenuePosition
2016 Poster Abstract: An Extremely Long Standby Time Wireless Sensor System for Debris Flow Monitoring
abstract
The one of the major difficulties in deploying a wireless sensor to monitor debris flow in the real world is power consumption. Frequently replacing the battery of a sensor that is located in a remote mountainous area is not practical. In this study we examine the newly-introduced wireless debris flow sensor, SMARTCONE, which is designed to minimize the standby power consumption, but still keep alert to detecting debris flow. During standby periods, SMARTCONE turns off all major components and uses an accelerometer to sense vibration generated by moving debris flow, and it wakes up SMARTCONE for collecting the parameters of a moving debris flow. Multiple SMARTCONEs need to change operation modes between standby and wake up, collect physical parameters, and transmit data simultaneously, and these issues are kept in mind while designing the system. The performance of vibration detection, data transmission and records of GPS trajectories are evaluated to ensure the accuracy of the design.
Teng-Chieh Chan, Kai-Hsiang Ke, Yao-Min Fang, Bing-Jean Lee, Warren Huang-Chen Lee
IPSN1