Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kazuo Yamazaki
dblp:28/3169
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 2006
0000-0003-2853-2570ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-authorSystems, 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 |
Geometric modeling and processing · 57% Computational fabrication · 43% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational fabrication › machining
sculptured surface machining |
0.0 | 1 | 2004 | A surface based approach to recognition of geometric features for quality freeform surface machining · Comput. Aided Des. 2004 |
Geometric modeling and processing
feature recognition |
0.0 | 1 | 2000 | Recognition of machining features and feature topologies from NC programs · Comput. Aided Des. 2000 |
Geometric modeling and processing › feature recognition
machining feature recognition |
0.0 | 1 | 2000 | Recognition of machining features and feature topologies from NC programs · Comput. Aided Des. 2000 |
Methods — techniques the papers use, named apart from their topics
surface-based feature recognition · 0.0NC program analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Robust Contouring Control for Multi-Axis Feed Drive SystemsabstractIn machine tool control, it is known that using the contour errors which are defined as tracking error component orthogonal to desired contour curves, as feedback signals is effective for precision contouring. Since the exact feed drive dynamics must be known in the conventional contouring controller design, we propose a design of robust contouring control system in this paper. We firstly introduce a controller design by which we can assign the controller gain for reducing the contour error independent of tangential error component to the desired contour curves. A robust contouring controller is then designed based on the variable structure control. The effectiveness of the robust controller is demonstrated by experimental results. Naoki Uchiyama, Shoji Takagi, Shigenori Sano, Kazuo Yamazaki |
ETFA | 4 |
| 2004 | A surface based approach to recognition of geometric features for quality freeform surface machining
Xingquan Zhang, Kazuo Yamazaki, Masahiko Mori |
Comput. Aided Des. | 3 |
| 2000 | Recognition of machining features and feature topologies from NC programs
Xiren Yan, Kazuo Yamazaki, Jiancheng Liu |
Comput. Aided Des. | 2 |
| 1988 | Mechatronics engineering education and dissemination program
Kazuo Yamazaki |
Vis. Comput. | 1 |