Aircraft


How Airbus' Flying Taxis Could Be The Next Great Idea For Singapore's Congested Roads

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Traffic congestion is one of the most prevalent and frustrating characteristics associated with major cities. Despite being known as the "Garden City," Singapore has one of the highest road densities of developed nations with 4.8km of road for each square kilometre of land. Singapore also has one of...


Drone Used To Save 2 Teens Caught In Dangerous Australian Waves

NPR

Two teenage boys, struggling to make their way back to shore, were saved by a drone in Australia on Wednesday, in what officials say is a first-of-its-kind rescue mission by an unmanned aircraft -- one captured by the drone's camera and later broadcast by Arab News and other outlets. A beachgoer caught a glimpse of the distressed swimmers, 15 and 17, who were fighting dangerous waves off Australia's Far North Coast in New South Wales. He alerted lifeguards, who happened to be in the middle of a drone training session, learning how the unmanned aerial vehicles (UAV) work. Lifeguard supervisor Jai Sheridan got the call and piloted the drone, dubbed "Little Ripper," toward the swimmers, about 2,300 feet over the ocean. Within 70 seconds the drone was hovering over the boys and had dropped a self-inflating rescue pod into the water.


Mystery deepens over secret Zuma government satellite

Daily Mail

SpaceX has defended its rocket performance during the weekend launch of a secret U.S. satellite, amid reports that the secret satellite codenamed Zuma was lost. Company President Gwynne Shotwell said the Falcon 9 rocket'did everything correctly' Sunday night and suggestions otherwise are'categorically false.' Northrop Grumman -- which provided the satellite for an undisclosed U.S. government entity -- said it cannot comment on classified missions. The company chose SpaceX as the launch provider, noting late last year that it took'great care to ensure the most affordable and lowest risk scenario for Zuma.' The name refers to a Malibu beach in Southern California. This was SpaceX' s third classified mission for the U.S. government, a lucrative customer.


Pentagon Working on AI to Predict Fighter Jet Malfunctions

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The Pentagon's "Defense Innovation Unit Experimental" is currently working with tech companies to implement AI, machine learning and automation technologies in military jets to create an AI program that can predict plane failures before they occur. They envision a system that would analyze all kinds of factors, from the plane's internal performance parameters to its geographic location, and inform maintenance crews about which plane is in the most need of repairs. "F-16s will benefit from predictive maintenance as a way to inform pilots of which aircraft are at the highest risk in terms of being unreliable. We pinpoint systems such as engines and subsystems such as the propulsion," says Ed Abbo, C3 IoT president and CTO. The C3 IoT platform already allows the Pentagon to aggregate and store enormous amounts of disparate information on a unified cloud-based data image, which runs on Amazon Web Services.


Deep Learning for industrial Prognostics & Health Management (PHM)

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Implementation and Results Introduction Conclusion References Deep Auto-Encoders • 4xNvidia K40 GPUs with with 2880 cores and 12 GB device RAM each in Ubuntu OS workstation •Theano based toolchain for Deep Learning • Nvidia K40 with 12 GB device RAM - driving factor for large dataset inhalation, caching and computation - especially the pre-training stage for DBNs Email:{venugov, gierinmj, reddykk}@utrc.utc.com Deep Belief Nets Layer 1 Layer 2 Bottleneck layer Input layer W2 T Layer 1 Layer 2 RBM RBM RBM Recursive pre-training W1 T W3 T • Successful adoption of Deep Learning methodologies to UTC applications in aerospace and building systems as shown in the timeline. Offers customized support agreements to help operators achieve optimal aircraft utilization. Products range from single actuators to complete flight control systems for the fixed wing, rotorcraft and missile segments as well as fly-by-wire cockpit controls, cabin equipment, trimmable horizontal stabilizer actuators and ...


Reliable Perching Makes Fixed-Wing UAVs Much More Useful

IEEE Spectrum Robotics Channel

Dino Mehanovic, John Bass, Thomas Courteau, David Rancourt, and Alexis Lussier Desbiens from the University of Sherbrooke realized that perching with a fixed-wing aircraft doesn't need to involve a stall to achieve that vertical and ultra low-speed approach, as long as you can maintain control over the aircraft. We are thinking about various failure causes (unsuitable states during the approach, smooth surface for the microspines) and failure detection timing (before touchdown, at touchdown and after touchdown). You also have to consider numerous factors that are sometime hard to quantify: efficiency of gears, reuse of some components between flight and climbing, transition time, propeller size, operating away from the design point, battery size, etc. Autonomous Thrust-Assisted Perching of a Fixed-Wing UAV on Vertical Surfaces, by Dino Mehanovic, John Bass, Thomas Courteau, David Rancourt, and Alexis Lussier Desbiens from the University of Sherbrooke in Canada, was presented at the 2017 Living Machines Conference at Stanford, where it won a Best Paper award.


Facebook reveals map showing where EVERY human on the planet lives

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'We then combined our results with existing census counts and created a population data set with 5-meter resolution for 20 countries. The revolutionary craft has completed its second test flight as Facebook works on its plan to use to beam the internet to people in remote areas with no mobile network coverage. New'Flip-flop' design makes quantum computers more affordable'Fortunately, we have developed other technologies like Aquila that will connect people as well. New'Flip-flop' design makes quantum computers more affordable Facebook added hundreds of sensors to the aircraft to understand how Aquila's shape responds to flight in real-time for the flight, including hundreds of strain gauges and three-axis inertial measurement units (IMUs.)


Facebook map shows where EVERY human on the planet lives

Daily Mail

Shocking dashcam video of cop saying'we only shoot black people' 'Our data showed the best way to connect cities is an internet in the sky,' Lewis told the conference, according to CNBC. The revolutionary craft has completed its second test flight as Facebook works on its plan to use to beam the internet to people in remote areas with no mobile network coverage. Shocking dashcam video of cop saying'we only shoot black people' 'Fortunately, we have developed other technologies like Aquila that will connect people as well. Shocking dashcam video of cop saying'we only shoot black people' Facebook added hundreds of sensors to the aircraft to understand how Aquila's shape responds to flight in real-time for the flight, including hundreds of strain gauges and three-axis inertial measurement units (IMUs.)


Reliable Perching Makes Fixed-Wing UAVs Much More Useful

IEEE Spectrum Robotics Channel

Dino Mehanovic, John Bass, Thomas Courteau, David Rancourt, and Alexis Lussier Desbiens from the University of Sherbrooke realized that perching with a fixed-wing aircraft doesn't need to involve a stall to achieve that vertical and ultra low-speed approach, as long as you can maintain control over the aircraft. We are thinking about various failure causes (unsuitable states during the approach, smooth surface for the microspines) and failure detection timing (before touchdown, at touchdown and after touchdown). You also have to consider numerous factors that are sometime hard to quantify: efficiency of gears, reuse of some components between flight and climbing, transition time, propeller size, operating away from the design point, battery size, etc. Autonomous Thrust-Assisted Perching of a Fixed-Wing UAV on Vertical Surfaces, by Dino Mehanovic, John Bass, Thomas Courteau, David Rancourt, and Alexis Lussier Desbiens from the University of Sherbrooke in Canada, was presented at the 2017 Living Machines Conference at Stanford, where it won a Best Paper award.


Machine Learning Model Tracks U.S. Spy Planes

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Marshals Service along with military aircraft and surveillance flights operated by military contractors. It turned out the sorties over the Bay Area and southern California supported of U.S. Special Operations Command training missions. The machine-learning exercise also turned up a surprising number of local and state police aerial surveillance operations in Arizona, Florida, southern California and Ohio, the web site reported. It also spotted testing of special operations aircraft based in Ohio but detected flying over other parts of the U.S.