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Richard Schneider

dblp:09/4309 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
0009-0004-6975-7690ORCID · corroborated

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

Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 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 networks
1 paper
Optical networks · 100%

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

TopicWeightPapersLastEvidence papers
Optical networks
photonic integrated circuits
0.212013
From Visible Light-Emitting Diodes to Large-Scale III-V Photonic Integrated Circuits · Proc. IEEE 2013
Optical networks
optical communication systems
0.012013
From Visible Light-Emitting Diodes to Large-Scale III-V Photonic Integrated Circuits · Proc. IEEE 2013
Optical networks
optical transmitter
0.012013
From Visible Light-Emitting Diodes to Large-Scale III-V Photonic Integrated Circuits · Proc. IEEE 2013

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

III-V semiconductor integration · 0.2
YearPublicationVenuePosition
2013 From Visible Light-Emitting Diodes to Large-Scale III-V Photonic Integrated Circuits
abstract
The discovery of the visible light-emitting diode (LED) 50 years ago by Holonyak and Bevacqua and the associated demonstration of the viability of the III-V semiconductor alloy created a foundational basis for the field of optoelectronics. Key advances which enabled the progression from the first visible LED to today's III-V photonic integrated circuits (PICs) are described. Furthermore, the current state-of-the-art 500-Gb/s and 1-Tb/s large-scale InP transmitter and receiver PICs and their essential role in the optical communications networks are reviewed.
Fred Kish, Radhakrishnan Nagarajan, Dave Welch 0001, Peter Evans, Jon Rossi, Jacco Pleumeekers, Andrew Dentai, Masaki Kato, Scott Corzine, Ranjani Muthiah, Mehrdad Ziari, Richard Schneider, Mike Reffle, Tim Butrie, Damien Lambert, Mark Missey, Vikrant Lal, Matt Fisher, Sanjeev Murthy, Randal Salvatore, Scott Demars, Adam James, Chuck Joyner
Proc. IEEE12
1996 Automated solder joint inspection system using optical 3-D image detection
abstract
An automated system has been developed for visually inspecting the solder joints of SMDs (Surface Mounted Devices). The system is capable of inspecting fine pitch components down to 0.3 mm pitch QFPs (Quad Flat Packages). A unique image detection method was also developed to obtain precise 3-D images of solder joints. The principle of a confocal microscope is employed but plural sensors are used to detect reflected light at different focusing positions simultaneously. The system is unaffected by secondary reflection and dead angles. The warp in a PC (Printed Circuit) board surface is calculated in real time using the detected 3-D images, and board height to be detected in successive areas is predicted based on this calculation. Real-time automatic focusing control is then performed using newly developed defect detection algorithms, the system can recognize leads, pads and solder fillets from the detected images. Because 3-D shape features are extracted and used for defect judgment, user-defined parameters have been made easy to understand and/or to modify. Operational evaluation of the system confirms a 100% defect detection rate and a very low false alarm rate (0.16%).
Yukio Matsuyama, Toshifumi Honda, Hisae Yamamura, Hideaki Sasazawa, Mineo Nomoto, Takanori Ninomiya, Anton Schick, Ludwig Listl, Paul Köllensperger, Dieter Spriegel, Peter Mengel, Richard Schneider
WACV12