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September 21, 2011

Mtg: “Womb to Tomb” — The Do’s and Don’ts of Designing Systems for Mass Production

by @ 10:50 am. Filed under ALL, Electronics Design, Engineering Mgmt
 

TUESDAY October 11, 2011
Monterey Bay Subsection
Speaker: Ken Gudan, Ricoh Research Lab
Time: Networking, food at 6:30 PM; Presentation at 7:00 PM
Cost: none ($2 for parking)
Place: UC-Santa Cruz (Room 180, Engineering Bldg 2), Santa Cruz
RSVP: by email, to Marcelo Siero, siero@ee.com
Web: www.ee.com/ieee

It is exciting to be privileged to work with a team to take a design from concept into mass production.? But what is it really like? What phases does the project go through?? How much time does it take?? What is expected of the engineering team?? How (more…)

Mtg: How Streamlined Permitting will Allow Home Solar to Scale

by @ 8:11 am. Filed under ALL, Electrical/Power, Electronics Design
 

WEDNESDAY October 12, 2011
SCV Photovoltaics Chapter
Speaker: Matt Eggers, Vice President-Operations, SunRun
Time: Neworking at 6:30 PM; Presentation at 7:00 PM
Cost: none
Place: Palo Alto Research Center (G.E. Pake Auditorium), 3333 Coyote Hill Road, Palo Alto
RSVP: not required
Info: www.svpvs.org

In January 2011 SunRun issued a report for delivery to the Department of Energy (DOE) revealing local governments can save $1 billion over the next five years and make solar affordable for 50 percent of American homes by standardizing local solar permitting processes.? A follow-on (more…)

Mtg: AI Techniques and Applications: Surprising Solutions That Really Work

by @ 7:48 am. Filed under ALL, Computers/Software, Electronics Design, Engineering Mgmt
 

TUESDAY October 11, 2011
SCV Computer Chapter
Speaker: Jason Lohn, Associate Research Professor, ECE Dept., Carnegie Mellon University, Silicon Valley Campus
Time: Networking, pizza at 6:30 PM; presentation at 7:00 PM
Cost: none
Place: Cadence / Bldg 10, 2655 Seely Ave, San Jose
RSVP: from website
Web: sites.ieee.org/scv-cs

Current methods of designing and optimizing antennas by hand are time and labor intensive, limit complexity, and require significant expertise and experience.? AI search algorithms can overcome these limitations by automatically searching the design space and finding effective (more…)

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