My husband and I are presently in the process of adopting. As part of the paper work, we had to ask our local police department for a letter to verify our good standing. While we do not have a criminal record, I was embarrassed to find out that we had about a dozen speed warnings between us. And we've only lived in this town for four years! If it wasn't bad enough that the chief of police now knows us and our record, the National Institute of Standards and Technology (NIST) has developed calibrator/simulator units that will certify the accuracy of across-the-road photo radars to plus or minus 1 mph at 65 mph. The unit picks up the radar's continuous wave signal and frequency modulates it at the Doppler rate anticipated for the moving vehicle target. Frequency modulation is achieved using a five-pole microwave switch driven by a digitally-based function generator which is programmed to simulate the Doppler return from vehicles traveling at speeds of 15 to 120 mph (25 to 200 km/h). The units can also be used to calibrate other speed-measuring radars in military and weather forecasting applications. I better get the lead out of my foot while the units are still undergoing field tests. For more information, contact Claude Weil by phone: (303) 497-5305 or e-mail: email@example.com.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.