Teardown: Quirky Egg Minder

October 8, 2019 by Tom Nardi 59 Comments

Many of the biggest stars are hesitant to do sequels, believing that the magic captured the first time around is hard to reproduce in subsequent productions. As I’m known (at least around the former closet that now serves as my home office) as the “Meryl Streep of Teardowns”, I try to follow her example when it comes to repeat performances. But if they could get her to come back for another Mamma Mia film, I suppose I can take a look at a second Quirky product.

An elderly egg calls to inquire about euthanasia services.

This time around we’ll be looking at the Quirky Egg Minder, a smart device advertised as being able to tell you when your eggs are getting old. Apparently, this is a problem some people have. A problem that of course is best solved via the Internet of Things, because who wouldn’t pay $80 USD for a battery-powered WiFi device that lives in their refrigerator and communicates vital egg statistics to an online service?

As it turns out, the answer to that question is “most people”. The Egg Minder, like most of its Quirky peers, quickly became a seemingly permanent fixture of retailer’s clearance shelves. This particular unit, which I was able to pick up new from Amazon, only cost me $9.99. This is still more than I would have paid under normal circumstances, but such sacrifices are part and parcel with making sure the readers of Hackaday get their regular dose of unusual gadgetry.

You may recall that our last Quirky device, the “Refuel” propane tank monitor, ended up being a fantastically engineered and built piece of hardware. The actual utility of the product was far from certain, but nobody could deny that the money had been spent in all the right places.

What will the internals of the Egg Minder reveal? Will it have the same level of glorious over-engineering that took us by surprise with the Refuel? Will that zest for form over function ultimately become the legacy of these Quirky devices, or was it just a fluke? Let’s crack this egg and find out.

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Celebrate Ada Lovelace Day By Catching Up On Stories Of Science And Technology

October 8, 2019 by Mike Szczys 10 Comments

Today is Ada Lovelace Day, a day to celebrate and encourage women in the fields of science and technology.

It’s a perfect time to look back and catch up on biographies of some incredible people whose stories have been featured over the past year. You’ll find a ton of those below, but while we have your attention we wanted to make an appeal to help shine some light onto those stories we have yet to feature in our Profiles in Science series. Let us know about women whose stories you’d like to see on Hackaday in the coming year by leaving a comment below. Of course, it’s not just today, we’re always looking for suggestions and the tips line is always open.

Getting a rocket engine off of the launch pad is itself a tricky proposition, but reaching an orbital velocity is an entirely different story. During the space race, the US was on the lookout for a fuel that could do the trick, and the answers came from a chemist who grew up in a small town in North Dakota then started a college degree before for a job at Plumb Brook Ordnance Works. Mary Sherman Morgan came through with the formulation for Hydyne that powered the Redstone Rocket project.

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The Long History Of Fast Reactors And The Promise Of A Closed Fuel Cycle

October 8, 2019 by Maya Posch 86 Comments

The discovery of nuclear fission in the 1930s brought with it first the threat of nuclear annihilation by nuclear weapons in the 1940s, followed by the promise of clean, plentiful power in the 1950s courtesy of nuclear power plants. These would replace other types of thermal plants with one that would produce no exhaust gases, no fly ash and require only occasional refueling using uranium and other fissile fuels that can be found practically everywhere.

The equipment with which nuclear fission was experimentally proven in 1938.

As nuclear reactors popped up ever faster during the 1950s and 1960s, the worry about running out of uranium fuel became ever more present, which led to increased R&D in so-called fast reactors, which in the fast-breeder reactor (FBR) configuration can use uranium fuel significantly more efficiently by using fast neutrons to change (‘breed’) ²³⁸U into ²³⁹Pu, which can then be mixed with uranium fuel to create (MOX) fuel for slow-neutron reactors, allowing not 1% but up to 60% of the energy in uranium to be used in a once-through cycle.

The boom in uranium supplies discovered during the 1970s mostly put a stop to these R&D efforts, with some nations like France still going through its Rapsodie, Phénix and SuperPhénix designs until recently finally canceling the Generation IV ASTRID demonstrator design after years of trying to get the project off the ground.

This is not the end of fast reactors, however. In this article we’ll look at how these marvels of engineering work and the various fast reactor types in use and under development by nations like Russia, China and India.

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Resurrecting A Recalcitrant SE/30

October 8, 2019 by Lewin Day 26 Comments

The Macintosh SE/30 is well regarded as the choice pick of the compact Mac line. Packing a powerful 68030 processor and with the capability to use up to 128 MB of RAM, it brought serious grunt to bear in a tight form factor. With these machines now over 30 years old, they’re often quite worse for wear. [This Does Not Compute] had his work cut out for him getting this particular example up and running. (Video embedded below.)

With the computer displaying the famous SimasiMac screen on startup, it was sadly non-functional when switched on. [This Does Not Compute] went through all the usual attempts to fix this – washing the board, recapping, checking potentially broken traces – all to no avail. After much consternation, the fix was not so hard – a fresh set of RAM helped cure what ailed the Mac.

With the Mac now showing some signs of life, there was more to do. The floppy drive refused to boot, ejecting disks and failing to read anything. A head cleaning proved helpful, but not enough. It was only when the head motor’s worm gear was relubricated, enabling it to seek properly, that the drive was successfully able to boot. The hard drive proved resistant of any attempts to get it to work, so was replaced with a SCSI2SD instead.

With the suite of repairs completed, the SE/30 was once again up and running. With a little elbow grease, the case and keyboard turned up a treat, too. [This Does Not Compute] now has one of the all-time classic Macs in excellent condition.

We’ve seen some great restorations over the past – this Commodore 64 full of dirt was a particularly compelling story. Video after the break.

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Hacking The IKEA TRÅDFRI LED Power Supply

October 8, 2019 by Donald Papp 22 Comments

Just because something is being actively documented and tampered with by enthusiastic hackers doesn’t mean the information is handily centralized. There can be a lot of value in gathering disparate resources in one place, and that’s exactly what [Trammell Hudson] has done with his resource page for hacking the IKEA TRÅDFRI LED power supply with wireless interface. Schematic teardown, custom firmware images, it’s all there in one convenient spot.

Back in 2017, the IKEA TRÅDFRI hacking scene was centered around the LED light bulbs but as the group of products expanded, the rest of the offerings have also gotten some attention.

Why bother tampering with these units? One reason is to add features, but another is to make them communicate over your own MQTT network. And MQTT is the reason you are only a Raspberry Pi and a trip to IKEA away from the beginnings of a smart home that is under no one’s control or influence but your own.

This Dibbling Plate Will Grow Your Love For Sowing

October 7, 2019 by Kristina Panos 13 Comments

One of the best things about 3D printers and laser cutters is their ability to produce specialized tools that steal time back from tedious processes. Seed sowing is a great example of this. Even if you only want to sow one tray with two dozen or so seeds, you still have to fill the tray with soil, level it off, compress it evenly, and poke all the holes. When seed sowing is the kernel of your bread and butter, doing all of that manually will eat up a lot of time.

There are machines out there to do dibbling on a large scale, but [Michael Ratcliffe] has been dabbling in dibbling plates for the smaller-scale farm. He’s created an all-in-one tool that does everything but dump the soil in the tray. Once you’ve done that, you can use edge to level off the excess soil, compress it with the back side, and then flip to the bed-of-nails side to make all the holes at once. It comes apart easily, so anyone can replace broken or dulled dibblers.

[Michael] is selling these fairly cheaply, but you can find all the files and build instructions out there in the Thingiverse. We planted the demo video after the break.

More into micro-greens? 3D printing can feed that fixation, too.

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An Apartment-Hunting AI

October 7, 2019 by Inderpreet Singh 16 Comments

Finding a good apartment is a lot of work and includes searching websites for available places and then cross-referencing with a list of characteristics. This can take hours, days or even months but in a world where cars drive themselves, it is possible to use machine learning in your hunt.

[veesot] lives in a city between Europe and Asia and was looking for a new home, and his goal was to create a model that can use historical data to not only suggest if an advertised price was right, but also recommend waiting by predicting the decrease in the the future. The data-set includes parameters such as “area”, “district”, “number of balconies” etc and tried to determine an optimal property to view.

There is a lot that [veesot] describes in his post which includes cleaning the data in terms of removing flats that are tool small or tool large. This is essentially creating a training data-set for the machine learning system that will allow the system to generate usable output. [veesot] also added parameters such districts which relate to the geographical location, age of the building and even the materials used in the construction.

There is also an interesting bit about analyzing the data variables and determining cross-correlation which ultimately leads to the obvious conclusions that the central/older districts have older apartments and newer ones are larger. It makes for a few cool graphs but the code can certainly come in handy when dealing with similar data-sets. The last part of the writing discusses applying Linear Regression and then testing its accuracy. Interpreting the model produces interesting results about the trained model and the values of the coefficients.

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