Abstract: An unmanned aerial vehicle (UAV) ground station, comprising: a landing surface having a perimeter and a center; a plurality of pushers held above the landing surface by a plurality of linear actuators; at least one electro-mechanical connector attached to one of the plurality of pushers, mechanically adapted to be electrically connected to a compatible electro-mechanical connector of a UAV; and a landing detection controller adapted to instruct the plurality of linear actuators to move the plurality of pushers simultaneously from the perimeter toward the center when a landing event related to the UAV is detected.

Abstract: A business action fraud detection system for a website includes a business action classifier to classify a series of operations from a single web session as a business action. The system also includes a fraud detection processor to determine a score for each operation from the statistical comparison of the data of each request forming part of the operation against statistical models generated from data received in a training phase and the score combining probabilities that the transmission and navigation activity of a session are those expected of a normal user.

Abstract: A method for emulating control signals for controlling an unmanned aerial vehicle (UAV). The method comprises using an integrated circuit installed on the UAV and communicatively coupled to a flight control processor and a companion processor for receiving flight control parameters from the companion processor, the flight control parameters are based data from a plurality of sensors communicatively coupled to the companion processor and mounted on the UAV, wirelessly receiving remote control signals from a remote control unit, modulating the flight control parameters to create emulated signals emulating a signals generated by a remote control designated to wirelessly control the UAV, the emulated signals encode instructions to maneuver the UAV, and switching between the remote control signals and the emulated signals during a flight time of the UAV.

Abstract: An unmanned aerial vehicle (UAV) ground station, comprising: a landing surface having a perimeter and a center; a plurality of pushers held above the landing surface by a plurality of linear actuators; at least one electro-mechanical connector attached to one of the plurality of pushers, mechanically adapted to be electrically connected to a compatible electro-mechanical connector of a UAV; and a landing detection controller adapted to instruct the plurality of linear actuators to move the plurality of pushers simultaneously from the perimeter toward the center when a landing event related to the UAV is detected.

Abstract: An unmanned aerial vehicle (UAV) ground station, comprising: a landing surface having a perimeter and a center; a plurality of pushers held above the landing surface by a plurality of linear actuators; at least one electro-mechanical connector attached to one of the plurality of pushers, mechanically adapted to be electrically connected to a compatible electro-mechanical connector of a UAV; and a landing detection controller adapted to instruct the plurality of linear actuators to move the plurality of pushers simultaneously from the perimeter toward the center when a landing event related to the UAV is detected.

Abstract: An unmanned aerial vehicle (UAV) ground station, comprising: a landing surface having a perimeter and a center; a plurality of pushers held above the landing surface by a plurality of linear actuators; at least one electro-mechanical connector attached to one of the plurality of pushers, mechanically adapted to be electrically connected to a compatible electro-mechanical connector of a UAV; and a landing detection controller adapted to instruct the plurality of linear actuators to move the plurality of pushers simultaneously from the perimeter toward the center when a landing event related to the UAV is detected.

Abstract: A method for emulating control signals for controlling an unmanned aerial vehicle (UAV). The method comprises using an integrated circuit installed on the UAV and communicatively coupled to a flight control processor and a companion processor for receiving flight control parameters from the companion processor, the flight control parameters are based data from a plurality of sensors communicatively coupled to the companion processor and mounted on the UAV, wirelessly receiving remote control signals from a remote control unit, modulating the flight control parameters to create emulated signals emulating a signals generated by a remote control designated to wirelessly control the UAV, the emulated signals encode instructions to maneuver the UAV, and switching between the remote control signals and the emulated signals during a flight time of the UAV.

Abstract: A business action fraud detection system for a website includes a business action classifier to classify a series of operations from a single web session as a business action. The system also includes a fraud detection processor to determine a score for each operation from the statistical comparison of the data of each request forming part of the operation against statistical models generated from data received in a training phase and the score combining probabilities that the transmission and navigation activity of a session are those expected of a normal user.