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Yoshio Nakano

dblp:69/3469 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2014
0000-0001-9848-3124ORCID · corroborated

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

Artificial intelligence and machine learning · 3 · 2 first-authorSystems, architecture and hardware · 1Databases, data management, data science and information retrieval · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
sequence analysis
0.112006
TRFMA: a web-based tool for terminal restriction fragment length polymorphism analysis based on molecular weight · Bioinform. 2006
Robotics › Robot manipulation
medical robotics
0.012003
A Clinical Jaw Movement Training Robot for Lateral Movement Training · ICRA 2003
Bioinformatics and computational biology
biological database
0.012006
TRFMA: a web-based tool for terminal restriction fragment length polymorphism analysis based on molecular weight · Bioinform. 2006
Robotics › Robot manipulation › telemanipulation
master-slave teleoperation
0.012003
A Clinical Jaw Movement Training Robot for Lateral Movement Training · ICRA 2003

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

molecular weight-based fragment analysis · 0.16-DOF parallel mechanism · 0.03-DOF master manipulator · 0.0
YearPublicationVenuePosition
2014 Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples
Yoshio Nakano, Toru Takeshita, Noriaki Kamio, Susumu Shiota, Yukie Shibata, Nao Suzuki, Masahiro Yoneda, Takao Hirofuji, Yoshihisa Yamashita
Artif. Intell. Medicine1
2006 TRFMA: a web-based tool for terminal restriction fragment length polymorphism analysis based on molecular weight
abstract
UNLABELLED: TRFMA provides a Web environment for analyzing T-RFLP results based on molecular weights of the fragments, rather than the numbers of nucleotides, to increase accuracy. The 16S rRNA data are saved as an XML file containing around 650 sequences (light version) and a MySQL database containing around 50 000 sequences (full version), which are connected to Web server via PHP5 and manipulated on an Internet browser. AVAILABILITY: TRFMA is freely available at http://myamagu.dent.kyushu-u.ac.jp/bioinformatics/trfma/index.html and can be downloaded from the same site.
Yoshio Nakano, Toru Takeshita, Yoshihisa Yamashita
Bioinform.1
2003 A Clinical Jaw Movement Training Robot for Lateral Movement Training
abstract
This paper describes a jaw movement training robot system implementing a 6 degrees of freedom (DOF) parallel mechanism, and its application for lateral movement raining. Temporomandibular joints (TMJ) problem is a disorder, whereby patients are not able to open their mouths nor move their jaws easily because of the problems with the mandibular joints, mastication muscles, and other organs concerning food chewing. Conventional therapy has been done with simple mouth opening apparatuses based on a doctor's technique through their own experiences, while this is still common. The authors have developed and improved a jaw movement training robot system, which provides not only jaw open and close training but also consists of a 6-DOF slave manipulator as a patient working manipulator and a 3-DOF master manipulator as a doctor commanding manipulator.
Akihisa Okino, Takahiro Inoue, Hideaki Takanobu, Atsuo Takanishi, Kayoko Ohtsuki, Masatoshi Ohnishi, Yoshio Nakano
ICRA7
1991 An Interface/Application Builder with Transmission Control Facility for SDML document Databases
Yoshio Nakano, Hidekazu Tanigawa, Yoshihiko Imai
DEXA1