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Kiyoshi Sawada

dblp:23/5426 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Artificial intelligence and machine learning · 3Graphics, computer vision, multimedia, augmented reality and games · 2Systems, architecture and hardware · 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 graphics and multimedia
2 papers
Computational fabrication · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication › machining
5-axis machining
0.012003
Creation of 3-D tiny statue by 5-axis control ultraprecision machining · Comput. Aided Des. 2003
Computational fabrication
machining
0.011995
Computer Aided Ultra-Precision Micro-Machining of Metallic Materials · ICRA 1995
Computational fabrication › machining
micromachining
0.011995
Computer Aided Ultra-Precision Micro-Machining of Metallic Materials · ICRA 1995

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

single crystal diamond tool · 0.0pseudo-ball-endmill · 0.03-axis control · 0.0
YearPublicationVenuePosition
2014 Continuity of Discrete-Time Fuzzy Systems
Takashi Mitsuishi, Takanori Terashima, Koji Saigusa, Nami Shimada, Toshimichi Homma, Kiyoshi Sawada, Yasunari Shidama
ICONIP (2)6
2003 Creation of 3-D tiny statue by 5-axis control ultraprecision machining
Yoshimi Takeuchi, Hiroshi Yonekura, Kiyoshi Sawada
Comput. Aided Des.3
1996 On-line handwriting character string separation method using network expression
abstract
We propose an on-line handwriting character string separation method which uniformly deals with the character separation features. We devised the string separation method using a multi-level network expression and a method using a unified network expression. The separation performance was improved by unifying the physical feature and logical feature using the network expression. Furthermore, we could speed up the string separation process with the unified network expression.
Masayoshi Okamoto, Hideto Yamamoto, Kiyoshi Sawada, Kazuhiko Yamamoto
ICPR3
1995 Computer Aided Ultra-Precision Micro-Machining of Metallic Materials
abstract
Micro-machining technology is in general well known in the field of lithography, where most of the materials used have been brittle ones such as silicon-oxide. However, the requirement of producing micro-machine and/or micro-mechanism with metallic materials is increasing since a variety of workpiece configurations can be easily made. Thus, this study deals with the micro-machining of metallic workpieces with sculptured surface by use of a newly developed ultra-precision milling machine. This lathe-type ultra-precision milling machine, consisting of an z-motion table, a positionable spindle as c-rotational axis and x-motion table, is equipped with a pseudo-ball-endmill composed of a single crystal diamond tool mounted at the top of a high speed air spindle on the x-table. A control program has been developed to carry out 3-axis control micromachining. The 3-axis control program enables the tool to produce a human face-like surface with the surface roughness of 77 nm (Rmax) within a circular area of 3 mm in diameter. As a result, the possibility of generating ultraprecision sculptured metal workpieces is experimentally confirmed.
Yoshimi Takeuchi, Kiyoshi Sawada, Toshio Sata
ICRA2