Happy #RealTimeChem week everybody. What, you don’t know what it is? Neither did I, untill I happened to read about it over at Compound Interest . (You guessed it, I’ve got lots of grading to do so I’m procrastinating again.) Since the theme this year centers on the four new elements that have been added to the periodic table, and I have an affinity for the table and all its secrets, I thought it might be fun to take advantage of the periodic properties of the table and predict some of the characteristics of the new elements.
Wolfram’s Mathematica can run on a $5 Raspberry Pi zero. While it may be painfully slow, it does open up opportunities to use Mathematica in low-power, remote-sensing applications. This blog post is a first in a series highlighting the design challenges I’ve encountered (and in some cases overcome) building Mathematica on Pi (MoP) devices. (Hey, I think I just created a new acronym.)
This is a short post to show off my first attempt at PCB milling. I’m a member of the Chicago Innovation Exchange. Well, I was, but now it’s no longer CIE but the Polsky Center, or maybe the Polsky Echange North, I’m not sure, but that’s what happens when someone invests $35 million in your incubator; you change your name. The center provides me access to a pretty swanky fab lab equipped with (among other things) an X-carve CNC mill. I recently completed my training on the machine and I wanted to put my skills to the test.
I’m late to the game, but I bet I’m not the only one. It turns out that there’s a very easy way to set up your old (version B, and presumably version A) Raspberry Pi as an FM radio transmitter. Here’s how I did it and what I used it for.
Do you ever wake up too early and can’t get back to sleep, so you decide to mess around with your Raspberry Pi, only to find out that the SD card has been baked and the operating system doesn’t load? This seems to happen to me more often than I’d like (both the waking up early and the baked RPi). There must have been something in that instant coffee (didn’t want to wake my wife with the noise of the coffee machine) and Italian Sweet Creme flavored creamer (instant coffee tastes awful without it) because I was able to come up with a reasonably clever solution to my problem this time.
I’ve been a little quiet lately; some of that was end of the semester and family activities, but part of it was that I’ve been trying to put the finishing touches on a new project. I now think that OMIS – the open millifluidic inquiry system, is ready for display.
Ahh, the age-old question of the chicken or the egg. There’s a similar theme in my family having to do with my Dad and making stuff. He introduced me to electronics when I was too young to realize how awesome it was, I introduced him to the Raspberry Pi, then he introduced me to Adruino. I introduced him to video capture on the Pi (with the help of a 3D printed camera case) and he turned it around into a nest cam! Ahh, so there’s the bird connection, this is a post about setting up a quick and dirty (and surprisingly effective) nest cam!
No, there’s no typo in the title. While this post does describe building an instrument (a colorimeter) from scratch, it also uses the Scratch programming language to control the operation of the instrument. Read on to learn the why’s and how’s.
I read somewhere that it should be possible to install Moodle on a Raspberry Pi. Since I just received my model 3, which is spiffy enough to run the Raspberry Pi blog, I wanted to see how easy it to set up and operate a Moodle server on my Pi.
The Go! Link from Vernier Software & Technology (Vernier), is a USB adapter for their proprietary sensors which also provides some basic features such as a buffer, sensor auto-identification and raw voltage reading conversion. Vernier provides a software development kit which allows programmers to use Go! devices in their own systems. Since Wolfram’s Mathematica software became available on the Raspberry Pi, I have been thinking about how one can build a flexible sensor system using Vernier’s products and based on the inexpensive computer and the powerful data analysis and visualization tools of Mathematica. This project isn’t new, and my earlier attempts were highlighted on the Raspberry Pi blog and I recently announced a previous version of this software package. What I’m presenting now is a more user-friendly system that makes data collection easy through the device driver framework incorporated into Mathematica.