Thanks, LtDan - that is the page I wanted people going to. The Kinetis limitation keeps you from compiling implimentations of full MQX but otherwise the special ed is pretty good for teaching and small projects (like ours).
There are different versions for download, depending on your internet access capabilities (i.e.: download an installer, then download additional components; download an entire image for offline install, etc).
The software installs as the Professional Edition with a 30-day evaluation period. After 30 days, the license converts to a Special Edition license (free permanent, feature limited) (unlimited assembly code; up to 64KB of C code for ColdFire+, V1 ColdFire, DSC, Kinetis L Series, RS08, S08 derivatives; up to 128KB of C code for Kinetis K Series and V2-V4 ColdFire derivatives; up to 512KB for Qorivva and PX derivatives). This should be more than adequate for this experiment.
Hello everyone - Due to technical difficulties, we will need to finish this session tomorrow. We will add the rest of today's content into tomorrow. Same time same place. Again, we sincerely apologize for this inconvenience.
Hello everyone - Due to technical difficulties, we will need to finish this session tomorrow. We will add the rest of today's content into tomorrow. Same time same place. We apologize for this inconvenience.
I would like an example implementing an RToS application, using one of the "free" ones from manufacturers, like Freescale's MQX. Folks can try without investing $$$. Also using that to implement a web server as an HMI.
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@cjlord: We know you love a good challenge! But seriously, Thanks for working to get the slides posted before the lecture. How's the rain down there today? Not surprisingly, it's raining in Portland today...
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.