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Naoshi Sato

dblp:48/4400 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2Artificial intelligence and machine learning · 1Computer 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
Physical-layer communications · 33% Internet architecture and protocols · 33% Network management and operations · 33%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications › error performance
error performance monitoring		 0.011994
In-service monitoring methods-better ways to assure service quality of digital transmission · IEEE J. Sel. Areas Commun. 1994
Internet architecture and protocols
quality of service		 0.011994
In-service monitoring methods-better ways to assure service quality of digital transmission · IEEE J. Sel. Areas Commun. 1994
Network management and operations › quality of service management
service quality assurance		 0.011994
In-service monitoring methods-better ways to assure service quality of digital transmission · IEEE J. Sel. Areas Commun. 1994

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

errored second analysis · 0.0anomaly detection · 0.0
YearPublicationVenuePosition
2016 Approaching a Target using a Protection Feature based on Received Signal Strength Indicator
Kazuyuki Ishii, Naoshi Sato
 ICORES2
2011 A practice of anti-BOT education for high school students
Kazumitsu Masuyama, Naoshi Sato
 ICCE2
2011 A practice of anti-BOT education for high school students
Kazumitsu Masuyama, Naoshi Sato
 ICCE2
1994 In-service monitoring methods-better ways to assure service quality of digital transmission
abstract
This paper focuses on how transmission error performance can be evaluated by parameters such as errored seconds (ES) and severely errored seconds (SES), under in-service conditions. Currently, attention is being paid to In-Service Monitoring (ISM) as an effective measurement technique for the error performance in digital networks. So the paper, first of all, overviews error performance parameters and shows the concept of ISM. It next discusses estimation methods for the error performance of digital channels by using information on anomaly and defect events in transmission systems. Furthermore, the paper refers to the potential usage of ISM for service quality estimation and performance assurance.>
Naoshi Sato, Koichi Asatani, Hideyo Murakami, Robert E. Mallon, Susan R. Hughes, Thomas L. Graff
 IEEE J. Sel. Areas Commun.1