After reading back a bit, while there's nothing much else going on...
Regarding IR and UV LEDs -- if you want to get really technical (trying to approach diminishing returns on the whole "predictable results" curve) you will probably also want to search for a nomograph on the propagation/attenuation versus frequency of radiated energy passing through the atmosphere. Those propagation curves are seriously non-linear, involving a wide range of opacity/transparency across the electromagnetic spectrum. Personally, I remember being a bit surprised (mostly because it should have been obvious) when someone pointed out that a lightning strike emits a huge amount of xrays -- generally without much effect (other than causing most of the ozone smell after a strike) because the atmosphere absorbs xrays so effectively.
So your IR and UV propagation distance CAN be calculated with some precision.
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.