@MazianLab: Gamma Rays are definitely something that requires special handling given health and security concerns. Modeling the behavior is good but it definitely needs to be an accurate model. One option is to record the behavior of the current source when using the real isotopes and then play that back. Do this for various types of readings. One thing I would strongly suggest is to add some datalogging capability on your side of the device that can capture the timing, the amplitude, the wave shape, etc. Then when you are able to test it with the real stuff, you can compare a real wave form against the simulated wave form. I would also suggest leaving that capability in when you ship the product so that when it is used in an unusual situation, you can retrieve the waveform and figure out why. A good test suite would then be running your code in a test harness and then feeding it each of these different sampled waveforms. I'm limited here by not being able to draw pictures or ask you questions. Contact me if you want more help on this.
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.