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Yuichi Uehara

dblp:70/4677 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

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

Computer networks · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 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
2 papers
Internet of things and sensor networks · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
wireless sensor network		 0.112006
Step-wise context extraction in AoK mule system · SenSys 2006
Internet of things and sensor networks › delay tolerant networks
data muling		 0.012006
Step-wise context extraction in AoK mule system · SenSys 2006

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

step-wise context extraction · 0.1
YearPublicationVenuePosition
2006 A System for Analyzing Life Rhythm Using Wireless Sensors on Mules
abstract
Life rhythm analysis for elderly people has recently been paid mach attention in many countries with long life expectancy. Wireless sensors attached to a human body are considered useful in automating the life rhythm analysis. We propose a system of such a monitoring and analysis system. This system has two advantages: unconscious monitoring and continuous analysis. We receive data from a mule with wireless sensors. The mule consists of pressure sensors connected with Mica2 Motes and sensed data is analyzed to extract a user's life rhythm.
Tomohiro Uchiyama, Yuichi Uehara, Masato Mori, Hiroki Saito, Yoshito Tobe
 MDM2
2006 Step-wise context extraction in AoK mule system
abstract
Extracting human's health condition using wireless sensors impose a challenge in the balance between data storage and CPU power. Taking available resources on nodes into consideration, we apply Step-wise Context Extraction (SCE) to AoK mule system [4]. SCE compresses data obtained at the mule into a context as the data is forwarded. In this demonstration, we show how the raw data is converted into the context in the AoK system.
Yuichi Uehara, Masato Mori, Nayuta Ishii, Yoshito Tobe, Yoh Shiraishi
 SenSys1
2005 A human-based sensor network connecting mobile phones
abstract
No abstract available.
Kenji Sasaki, Yuichi Uehara, Yoshihiro Kanazawa, Tomohiro Uchiyama, Kazunori Makimura, Niwat Thepvilojanapong, Hiroki Saito, Kaoru Sezaki, Yoshito Tobe
 SenSys2