Know Snow: Monitoring Snowpack With The SNOTEL Network

June 29, 2023 by Dan Maloney 12 Comments

With summer just underway here in North America, it may seem like a strange time to talk about snow. But when you live in North Idaho, winter is never very far away and is always very much on everyone’s mind. Our summers are fierce but all too brief, so starting around September, most of us begin to cast a wary eye at the peaks of the Bitterroot range in the mornings, looking for the first signs of snow. And in the late spring, we do much the same, except longingly looking for the first signs that the snowpack is finally breaking up.

We all know how important snow is, of course. Snow is our lifeline, nearly the only source of drinking water we have here, as well as the foundation of our outdoor recreation industries. We also know that the snowpack determines our risk for wildfires, so while the long, dark winters may take a psychological toll, the longer the snow stays on the mountains, the less chance we have of burning come summer.

These are all very subjective measures, though, and there’s way too much riding on the snowpack to leave it up to casual observation. To make things more quantitative, the US Department of Agriculture’s Natural Resources Conservation Service (NRCS) has built a system across the western US that measures the snowpack in real-time, and provides invaluable data to climatologists, fish and game managers, farmers, and even the recreation industry, all of whom have a vested interest in the water held within. The network is called SNOTEL, and I recently got a chance to take a field trip with a hydrologist and get an up-close look at how it works.

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2022: As The Hardware World Turns

January 3, 2023 by Tom Nardi 30 Comments

Well folks, we made it through another one. While it would be a stretch to call 2022 a good year for those of us in the hacking and making community, the light at the end of the tunnel does seem decidedly brighter now than it did this time 365 days ago. It might even be safe to show some legitimate optimism for the year ahead, but then again I was counting on my Tesla stocks to be a long-term investment, so what the hell do I know about predicting the future.

Eh, my kids probably weren’t going to college anyway.

Thankfully hindsight always affords us a bit of wisdom, deservedly or otherwise. Now that 2022 is officially in the rearview mirror, it’s a good time to look back on the highs (and lows) of the last twelve months. Good or bad, these are the stories that will stick out in our collective minds when we think back on this period of our lives.

Oh sure, some might wish they could take the Men in Black route and forget these last few years ever happened, but it doesn’t work that way. In fact, given the tumultuous times we’re currently living in, it seems more likely than not that at some point we’ll find ourselves having to explain the whole thing to some future generation as they stare up at us wide-eyed around a roaring fire. Though with the way this timeline is going, the source of said fire might be the smoldering remains of an overturned urban assault robot that you just destroyed.

So while it’s still fresh in our minds, and before 2023 has a chance to impose any new disasters on us, let’s take a trip back through some of the biggest stories and themes of the last year.

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Backup Camera, Digital Dash, Road Assist… In 1969?

August 31, 2022 by Al Williams 65 Comments

If your friend told you their car had a backup camera, a digital dashboard, climate control, could scan for radio stations, and even helped stay on the road, you wouldn’t think much about it. Unless the year was 1969. The car — the Hurricane by Australian automaker Holden — was never a production vehicle. But it was way beyond the state of the art in 1969 and isn’t too dated, even today. The concept car was actually found in 1988 and restored by 2011. Honestly, it still looks great.

The car looks amazing and was meant to be a research vehicle and — probably — nice eye candy for the car shows. Seating two passengers with a mid-mounted 253 cubic inch V8, it featured many things we take for granted now: a backup camera, temperature control, and a (somewhat) digital dashboard, for example. There was a system to help it stay in lane, but that required magnets in the road — it was 1969, after all.

The fiberglass body was unique and had a canopy instead of doors. The power seats lifted up when the canopy came up and went down for driving. The passenger compartment was a steel cage. The vehicle featured headrests, a foam-lined fuel tank, and a fire warning system. Two of the brakes were even oil-cooled.

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Quick Hack: The Phone To Stream Deck Conversion

July 18, 2022 by Al Williams 8 Comments

What do you do with those old Android or iPhone phones and tablets? You have plenty of options, but it is pretty easy to build your own stream deck with a little off-the-shelf software. What’s a stream deck, you ask? The name comes from its use as a controller for a live-streaming setup, but essentially, it’s an LCD touchscreen that can trigger things on your computer.

The software I’m using, Deckboard, is a server for Windows or Linux and, of course, an Android app. The app is free with some limitations, but for under $4 you can buy the full version. However, even the free version is pretty capable. You can use an Android phone or tablet and you can connect to the PC with a USB cable or WiFi. I’ve found that even with WiFi, it is handy to keep the phone charged, so realistically you are going to have a cable, but it doesn’t necessarily have to connect to the host computer.

Linux Setup

Setup is very easy. The biggest hurdle is you might need to set up your firewall to allow the server to listen on port 8500 with TCP. There are a few small issues when installing with Linux that you might want to watch out for. There are 32-bit and 64-bit versions in deb, tar.gz, and appimage format. There’s also a snap. The problem with the snap is it is sandboxed, so without effort you can’t easily launch programs, which is kinda the entire point. I finally removed it and installed the deb file which was fine.

There were still two other wrinkles. First, while Deckboard offers a way to launch programs, it must be a program from a list it reads from your system. That would be acceptable, but the list wasn’t complete. I never did figure out why some things show up on the list and others don’t. For example, GIMP which shows up on my application menu was absent. Yet other things that were fairly obscure did show up.

I thought this might be a dealbreaker until I found that Deckboard has a well-developed plugin system and one of those plugins lets you run an arbitrary command line. I guess it is a little less convenient, but it is much more flexible since you can launch any program you want and provide options to it as well.

The only other complaint I had is that when you run the program, it shows its configuration interface and puts itself in the system tray. That’s great the first time you run it, but on system startup, it would be nice to just have it quietly start. If there’s an option for that I haven’t found it. I’ll tell you how I solved that later, but, for now, just live with it.

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Hackaday Podcast 156: 3D-Printing Rainbows, Split-Flap Clocks, Swapping EV Car Batteries, And Floppy Time

February 18, 2022 by Kristina Panos 2 Comments

This week, Hackaday Editor-in-Chief Elliot Williams and Assignments Editor Kristina Panos fawn over a beautiful Italian split-flap clock that doesn’t come cheap, and another clock made of floppies that could be re-created for next to nothing. We’ll also sing the praises of solderless circuitry for prototyping and marvel over a filament dry box with enough sensors to control an entire house. The finer points of the ooh, sparkly-ness of diffraction gratings will be discussed, and by the end of the show, you’ll know what we each like in a microscope.

Take a look at the links below if you want to follow along, and as always, tell us what you think about this episode in the comments!

(And if you’re wondering about what my joke about not having Kristina on the show for 28 seconds, and all the professionalism, was about — we both forgot to press record the first time through and got ~15 minutes into the show before noticing. Yeah. But we had a good time the second time around anyway.)

Direct Download (The best 40 MB you’ll download today!)

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PFAS: The Organofluorines Your Biochemist Warned You About

November 22, 2021 by Maya Posch 49 Comments

Sometimes it begins to feel like a tradition that a certain substance or group of substances become highly popular due to certain highly desirable chemical or physical properties, only for these chemicals then to go on to turn out to form a hazard to the biosphere, human life, or both. In the case of per- and polyfluoroalkyl substances (PFAS) it’s no different. Upon the discovery that a subgroup of these – the fluorosurfactants – have the ability to reduce water surface tension significantly more than other surfactants, they began to be used everywhere.

Today, fluorosurfactants are being used in everything from stain repellents to paint, make-up, and foam used by firefighters. In a recent study of 231 cosmetic products bought in the US and Canada (Whitehead et al., 2021), it was found that all of them contained PFAS, even when not listed on the packaging. The problematic part here is that PFASs are very stable, do not decay after disposal, and bioaccumulate in the body where they may have endocrine-disrupting effects.

Some areas have now at least partially banned PFAS, but the evidence for this is so far mixed. Let’s review what we do know at this point, and which alternatives we have to continuing to use these substances. Continue reading “PFAS: The Organofluorines Your Biochemist Warned You About” →

Neuromorphic Computing: What Is It And Where Are We At?

August 19, 2021 by Matthew Carlson 31 Comments

For the last hundred or so years, collectively as humanity, we’ve been dreaming, thinking, writing, singing, and producing movies about a machine that could think, reason, and be intelligent in a similar way to us. The stories beginning with “Erewhon” published in 1872 by Sam Butler, Edgar Allan Poe’s “Maelzel’s Chess Player,” and the 1927 film “Metropolis” showed the idea that a machine could think and reason like a person. Not in magic or fantastical way. They drew from the automata of ancient Greece and Egypt and combined notions of philosophers such as Aristotle, Ramon Llull, Hobbes, and thousands of others.

Their notions of the human mind led them to believe that all rational thought could be expressed as algebra or logic. Later the arrival of circuits, computers, and Moore’s law led to continual speculation that human-level intelligence was just around the corner. Some have heralded it as the savior of humanity, where others portray a calamity as a second intelligent entity rises to crush the first (humans).

The flame of computerized artificial intelligence has brightly burned a few times before, such as in the 1950s, 1980s, and 2010s. Unfortunately, both prior AI booms have been followed by an “AI winter” that falls out of fashion for failing to deliver on expectations. This winter is often blamed on a lack of computer power, inadequate understanding of the brain, or hype and over-speculation. In the midst of our current AI summer, most AI researchers focus on using the steadily increasing computer power available to increase the depth of their neural nets. Despite their name, neural nets are inspired by the neurons in the brain and share only surface-level similarities.

Some researchers believe that human-level general intelligence can be achieved by simply adding more and more layers to these simplified convolutional systems fed by an ever-increasing trove of data. This point is backed up by the incredible things these networks can produce, and it gets a little better every year. However, despite what wonders deep neural nets produce, they still specialize and excel at just one thing. A superhuman Atari playing AI cannot make music or think about weather patterns without a human adding those capabilities. Furthermore, the quality of the input data dramatically impacts the quality of the net, and the ability to make an inference is limited, producing disappointing results in some domains. Some think that recurrent neural nets will never gain the sort of general intelligence and flexibility that our brains offer.

However, some researchers are trying to creating something more brainlike by, you guessed it, more closely emulates a brain. Given that we are in a golden age of computer architecture, now seems the time to create new hardware. This type of hardware is known as Neuromorphic hardware.

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