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Takefumi Inagaki

dblp:64/9648 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1988
—ORCID · none

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

Artificial intelligence and machine learning · 3Systems, architecture and hardware · 2

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 architecture, parallel and distributed computing, and storage systems
2 papers
Electronic design automation · 100%

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

TopicWeightPapersLastEvidence papers
Electronic design automation
hardware verification and test
0.021985
Automatic opitcal through hole inspection method for printed wiring boards using leakage light detection · ICRA 1985
Pattern recognition techniques for hybrid microcircuits · ICRA 1984
Electronic design automation › hardware verification and test › board-level testing
printed circuit board inspection
0.011985
Automatic opitcal through hole inspection method for printed wiring boards using leakage light detection · ICRA 1985

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

peak sharpening · 0.0pattern matching · 0.0matrix filtering · 0.0leakage light detection · 0.0
YearPublicationVenuePosition
1988 Automatic optical inspection of plated through-holes for ultrahigh density printed wiring boards
Moritoshi Ando, Takefumi Inagaki
Mach. Vis. Appl.2
1985 Automatic opitcal through hole inspection method for printed wiring boards using leakage light detection
abstract
New automatic through hole inspection techniques for printed wiring boards (PWBs) were developed. The new method called Leakage Light Detection can detect defects such as cracks and breaks in plating of through holes with aspect ratio as large as ten. A prototype system for automatic through hole inspection is constructed, based on these techniques. This system detects defects in a 250 mm × 250 mm area of a PWB in 8 minutes.
Moritoshi Ando, Kikuo Mita, Takefumi Inagaki
ICRA3
1984 Pattern recognition techniques for hybrid microcircuits
abstract
The paper discusses pattern recognition techniques for automatic hybrid IC assembling systems. The problems concerning recognition systems are flexibility and high recognition rates for various object patterns comprised of hybrid ICs. To overcome these problems we developed two new recognition algorithms based on pattern matching methods. One method recognizes speckle pattern (printed thick-film conductor patterns) locations using matrix filtering. The other method increases the matching SNR to 4.5 times greater than previous methods using peak sharpening of the matching degree curve. These algorithms enable recognition of more than 99% (99.8% on average) of all semiconductor chip patterns (ICs, transistors, and diodes) and printed thick-film conductor patterns.
Masato Nakashima, Tetsuo Koezuka, Hiroyuki Tsukahara, Takefumi Inagaki
ICRA4