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Wikimedia // Public Domain

Solved: The Mystery of Identity Thief Lori Erica Ruff

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Wikimedia // Public Domain

Last spring, we brought you 8 Mysterious People Without a Past, a list of individuals who seemed to have had much of their early existence wiped from history.

We may need to revise that list to seven, since one of those mysteries has now been solved. Lori Erica Ruff, a Texan who committed suicide in 2010 and left behind a series of puzzling documents hinting that she wasn’t who her family thought she was, has now been identified. She wasn’t Lori Erica Ruff—she was a Pennsylvania woman named Kimberly McLean.

According to the Seattle Times, a crowd-sourced investigation into Ruff’s background began after the paper ran a story on her in 2013. Papers belonging to Ruff, who had been married with a child, surfaced after her suicide indicating she had once been known as Lori Kennedy, and prior to that, as Becky Sue Turner, the name of a young girl who had died in a Washington state fire in 1971.

Ruff’s apparent identity theft pulled in former Social Security Administration investigator Joe Velling, who hoped that publicity from the Times piece would urge amateur sleuths to provide some leads. It did. Late in 2015, Velling received a call from a former nuclear physicist and forensic genealogist named Colleen Fitzpatrick, who had been following the case online. Based on her own research, and a DNA sample the Ruff family submitted that indicated Lori had a first cousin named Michael Cassidy, Fitzpatrick suggested Velling contact the Cassidy family in Philadelphia.

Velling traveled to the city and approached a member of the Cassidy family, who saw Lori’s driver’s license photo. The response? "My God, that’s Kimberly!” The family member confirmed Ruff was actually Kimberly McLean, daughter of Deanne Cassidy and James McLean, who had run away from home in Pennsylvania at the age of 18.

According to Deanne’s brother, Tom, Kimberly grew irate after her mother and father separated in the 1980s. Dismayed by having to move and attend a new school, she told Deanne she’d be leaving for good. McLean assumed a series of aliases before marrying Blake Ruff in 2004 and settling down—leaving no trace of Kimberly McLean, at least until Fitzpatrick began researching her family tree. Although questions about the case remain, Lori Ruff's name has now been removed from the federal government's database for missing and unidentified persons.

[h/t Seattle Times]

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iStock // Ekaterina Minaeva
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technology
Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
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iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

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iStock
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Weird
Creative Bar Owners in India Build Maze to Skirt New Liquor Laws
June 20, 2017
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iStock

Facing a complicated legal maze, a bar in the southern Indian state of Kerala decided to construct a real one to stay in business, according to The Times of India. Aiswarya Bar, a watering hole that sits around 500 feet from a national highway, was threatened in 2016 after India's Supreme Court banned alcohol sales within 1640 feet of state and country-wide expressways to curb drunk driving. Instead of moving or ceasing operation, Aiswarya Bar's proprietors got creative: They used prefabricated concrete to construct a convoluted pathway outside the entrance, which more than tripled the distance from car to bar.

Aiswarya Bar's unorthodox solution technically adhered to the law, so members of the State Excise Administration—which regulates commodities including alcohol—initially seemed to accept the plan.

"We do [not] measure the aerial distance but only the walking distance," a representative told The Times of India. "However, they will be fined for altering the entrance."

Follow-up reports, though, indicate that the bar isn't in the clear quite yet. Other officials reportedly want to measure the distance between the bar and the highway, and not the length of the road to the bar itself.

Amid all the bureaucratic drama, Aiswarya Bar has gained global fame for both metaphorically and literally circumnavigating the law. But as a whole, liquor-serving establishments in India are facing tough times: As Quartz reports, the alcohol ban—which ordered bars, hotels, and pubs along highways to cancel their liquor licenses by April 1, 2017—has resulted in heavy financial losses, and the estimated loss of over 1 million jobs. Aiswarya Bar's owner, who until recently operated as many as nine local bars, is just one of many afflicted entrepreneurs.

Some state governments, which receive a large portion of their total revenue from liquor sales, are now attempting to downgrade the status of their state and national highways. To continue selling liquor in roadside establishments, they're rechristening thoroughfares as "urban roads," "district roads," and "local authority roads." So far, the jury's still out on whether Kerala—the notoriously heavy-drinking state in which Aiswarya Bar is located—will become one of them.

[h/t The Times of India]

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