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Jung Yang

dblp:80/6774 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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

Computer networks · 2

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
2 papers
Internet of things and sensor networks · 75% Wireless sensing and localization · 25%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Environmental and earth informatics · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
wireless sensor network
0.222008
Development of a long-lived, real-time automatic weather station based on WSN · SenSys 2008
Using mobile wireless sensors for in-situ tracking of debris flows · SenSys 2008
Internet of things and sensor networks › wireless sensor network
environmental monitoring
0.112008
Development of a long-lived, real-time automatic weather station based on WSN · SenSys 2008
Wireless sensing and localization › tracking
real-time tracking
0.112008
Using mobile wireless sensors for in-situ tracking of debris flows · SenSys 2008
Environmental and earth informatics › meteorology
weather monitoring
0.012008
Development of a long-lived, real-time automatic weather station based on WSN · SenSys 2008

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

wireless sensors · 0.2wireless sensor network deployment · 0.2
YearPublicationVenuePosition
2008 Using mobile wireless sensors for in-situ tracking of debris flows
abstract
Most debris flow monitoring systems deployed today use indirect means to track information regarding debris flows. In this work, we introduce a novel debris flow monitoring system for in-situ and direct tracking of debris flows in real-time. The core idea is to throw wireless sensors into the debris flows and collect flow information as they move along. We will describe the design of the wireless sensors and present some preliminary performance results.
Warren Huang-Chen Lee, Chin-Jung Liu 0001, Jung Yang, Jen-Tse Huang 0002, Yao-Min Fang, Bing-Jean Lee, Chung-Ta King
SenSys3
2008 Development of a long-lived, real-time automatic weather station based on WSN
abstract
The scale of weather monitoring is limited by the cost of the automatic weather stations (AWS), which is mainly the cost of high precision instruments and long-distance wireless telecommunication equipments. We propose a wireless sensor network (WSN) based AWS, which takes advantage of the low-cost, real-time and infrastructure-free characteristics of WSN [1]. We can therefore extend the scale of weather monitoring without increasing the number of telecommunication equipments. This WSN-based AWS is able to cover a plane and gather multiple sets of weather measurements in real-time at a better data resolution.
Chin-Jung Liu 0001, Warren Huang-Chen Lee, Jung Yang, Jen-Tse Huang 0002, Yao-Min Fang, Bing-Jean Lee, Chung-Ta King
SenSys3