Douglas R Verkaik on Winged Drone Gets Forward Flight Capability.This Week In Security: Exchange 0-day, Doppelgangers, And Python Gets Bit In The TAR 12 Comments Posted in hardware Tagged chain, kataka, linear actuator, segmented spindle Post navigation Many thanks to for the tip, we loved reading about this one! That said, if you’re building, say, your own flight simulator, you might have to cook up something more hefty. They’re easy to make, with numerous designs available, and can carry more load than you might think. That’s right, 3D printed linear actuators aren’t as bad as you might imagine. We wonder if, with more recognition and the advent of 3D printing, we might see the design crop up in the odd maker project. Though numerous prototypes were made, and a patent was issued, it seems the mechanism never took off or saw mainstream use. Most records of the device online are roughly a decade old. When used in scissor lifts, it also offers the unique advantage of a flat force/torque curve. We’re impressed with the amount of load the device can support. Kataka’s youtube channel is now sadly inactive, but contains many videos of the device used in various scenarios, such as lifting chairs and cupboards. It’s somewhat magical to watch the device in action, seeing the piston appear “out of nowhere”. This is the key advantage over conventional actuators, which usually retract into a housing of at least the length of the piston. The device, trademarked as the Kataka but generically referred to as a Segmented Spindle, is a compact form of linear actuator that uses a novel belt arrangement to create a device that can reduce to a very small thickness, while crowing to seemingly impossible dimensions when fully extended. This is one of those times - and the contraption in question is the “Kataka”, invented by and publicised on the cover of the Eureka magazine around 2003. But sometimes, just sometimes, we stumble across ideas from the past that are simply too neat to be passed over. What is the impact on performance for a multiclass feature extraction challenge-i.e.Many of the projects we serve up on Hackaday are freshly minted, hot off the press endeavors.How have algorithms that extract buildings and roads improved since SpaceNet was launched, and how can top algorithms from previous challenges be leveraged?. SpaceNet 8 aims to answer these questions: New areas of interest (AOIs) will incl ude New Orleans, Louisiana, following Hurricane Ida in August 2021 Dernau, Germany, during the June 2021 floods across Western Europe and a new “mystery city ” for blind testing of the algorithms. Any winning open-source algorithm from SpaceNet 1-7 may also be used. During SpaceNet 8, challenge participants will train algorithms on imagery and labels from previous challenges-as well as newly created labeled training datasets from Maxar-to rapidly map an area affected by flooding. Since its launch in 2016, SpaceNet has made significant progress advancing open-source building footprint and road extraction algorithms. The goal of SpaceNet 8 is to leverage the existing repository of datasets and algorithms from SpaceNet Challenges 1-7 and apply them to a real-world disaster response scenario, expanding to multiclass feature extraction and characterization. To help address this need, the SpaceNet 8 Flood Detection Challenge will focus on infrastructure and flood mapping related to hurricanes and heavy rains that cause route obstructions and significant damage. As these events become more frequent and severe, there is an increasing need to rapidly develop maps and analyze the scale of destruction to better direct resources and first responders. Each year, natural disasters such as hurricanes, tornadoes, earthquakes and floods significantly damage infrastructure and result in loss of life, property and billions of dollars.
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