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Maglev trains: Toys and games

(Wednesday, October 21st, 2009)

Magnetic levitation is considered by some as the future of train technology. Several real trains have actually been created (the German industry has been a pioneer and is in a strong competition with Japan for the development of such MagLev trains or Magnetic Levitation trains). But did you really see how it works? It’s easy. Check this demonstration with maglev toy trains.


YouTube link

The tracks are made of traditional magnets and the train contain a big super-conducting magnet (cooled down by liquid nitrogen to maintain its super-conducting characteristics). Everything is relying heavily on magnetic fields. So, not surprisingly, these fields can be observed in the real train. The following video — shot on the Rokko Liner in Kobe, Japan — shows metal paper clips dancing on the stray magnetic fields of such a Maglev train, going through the floor of one of the passenger cars.


YouTube link

Don’t drop your credit card (or an age-old floppy disk) on the floor for fear of seeing it quickly erased.

Surprise! You can find color in B&W photos

(Thursday, October 30th, 2008)

This is easy to reduce a color photo to a B&W image (any photo software or any B&W photocopier can do it). But the reverse operation seems difficult at best, impossible in most cases. However, a team of French scientists from the French INRIA (Guillaume Charpiat, Matthias Hofmann et Bernhard Schölkopf) presented recently an algorithm that succeeds to rebuild the color information from a B&W photo. And with some success.

On the image on the left, Leonardo Da Vinci’s Mona Lisa has been converted to black and white (A), using color data and textures from a similar image (B), the algorithm built a color image again (C) not too far from the original (D).

Analyzing this work, I’d say that part of the differences between the result (C) and the original (D) come from the quality of the conversion to Black & White which led to an image quite hard (a bit more contrast than needed).

Impressive result on photos, you can expect to see it applied to moving images (and movies).

Source: Futura-Science.


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