A laser rangefinder may include a housing supporting an objective optic, an eyepiece optic, and a view-thru display. The view-thru display may be located along an optical path between the objective optic and the eyepiece optic. The view-thru display may comprise a first transparent sheet and a plurality of electrodes disposed on a first inner surface of the first transparent sheet. The view-thru display may be disposed rearward of the objective optic and the eyepiece optic may be disposed rearward of the view-thru display assembly so that a scene or subject can be viewed through the eyepiece optic and a plurality of display elements selectively displayed by the view-thru display assembly are superimposed on the scene or subject being viewed. Information regarding wind in proximity to the laser rangefinder may be presented on the view-thru display.

A laser rangefinder may include a housing supporting an objective optic, an eyepiece optic, and a view-thru display. The view-thru display may be located along an optical path between the objective optic and the eyepiece optic. The view-thru display may comprise a first transparent sheet and a plurality of electrodes disposed on a first inner surface of the first transparent sheet. The view-thru display may be disposed rearward of the objective optic and the eyepiece optic may be disposed rearward of the view-thru display assembly so that a scene or subject can be viewed through the eyepiece optic and a plurality of display elements selectively displayed by the view-thru display assembly are superimposed on the scene or subject being viewed. Information regarding wind in proximity to the laser rangefinder may be presented on the view-thru display.

Computer implemented techniques for simulating a fluid flow about a surface of a solid, include receiving a coordinate system for representation of a curvilinear mesh that conforms to the surface of the solid, simulating, with a lattice velocity set transport of particles in a volume of fluid, with the transport causing collision among the particles, executing a distribution function for transport of the particles, with the distribution function including a particle collision determination and a change in particle distribution associated with the curvilinear mesh, performing by the computing system, advection operations in the coordinate system under constraints applied to particle momentum values and mapping by the computer system values resulting from simulating onto the curvilinear mesh by translation of the particle momentum values and spatial coordinates determined in the coordinate system into momentum and spatial values in the curvilinear space.

Computer implemented techniques for simulating a fluid flow about a surface of a solid, include receiving a coordinate system for representation of a curvilinear mesh that conforms to the surface of the solid, simulating, with a lattice velocity set transport of particles in a volume of fluid, with the transport causing collision among the particles, executing a distribution function for transport of the particles, with the distribution function including a particle collision determination and a change in particle distribution associated with the curvilinear mesh, performing by the computing system, advection operations in the coordinate system under constraints applied to particle momentum values and mapping by the computer system values resulting from simulating onto the curvilinear mesh by translation of the particle momentum values and spatial coordinates determined in the coordinate system into momentum and spatial values in the curvilinear space.

A wind estimation system for an aircraft includes a first sensor configured to sense a first position associated with an aircraft control component in a wind condition, a second sensor configured to sense a first configuration associated with a rotor system of the aircraft in the wind condition, and at least one controller in communication with at least one of the first sensor or the second sensor. The at least one controller is configured to determine a tip-path-plane angle of the aircraft based on the first position and the first configuration, and determine at least one of a current wind speed or current wind direction based on the tip-path-plane angle.

A method of measuring the speed of a fluid comprising the following steps: generating a plurality of pseudorandom frequencies (fus_n); for each pseudorandom frequency (fus_n), emitting ultrasound signals into the fluid to travel along a path of defined length; receiving the ultrasound signals; for each received ultrasound signal, producing a travel time measurement, so as to generate for each pseudorandom frequency (fus_n) a predefined number of travel time measurements; for each pseudorandom frequency (fus_n), evaluating the accuracy of the measurements; for evaluating the speed of the fluid, making use of the measurements produced for the pseudorandom frequency that presents the greatest accuracy.

A method of measuring the speed of a fluid comprising the following steps: generating a plurality of pseudorandom frequencies (fus_n); for each pseudorandom frequency (fus_n), emitting ultrasound signals into the fluid to travel along a path of defined length; receiving the ultrasound signals; for each received ultrasound signal, producing a travel time measurement, so as to generate for each pseudorandom frequency (fus_n) a predefined number of travel time measurements; for each pseudorandom frequency (fus_n), evaluating the accuracy of the measurements; for evaluating the speed of the fluid, making use of the measurements produced for the pseudorandom frequency that presents the greatest accuracy.

A method including operating vehicles through a medium. The vehicles are subject to advection due to movement of the medium. The vehicles are in sufficient proximity to each other that one or more conditions of the medium are about equivalent for the vehicles. The method also includes applying an incremental sequence of about equivalent thrust forces to the plurality of vehicles to generate about equivalent incremental changes in a plurality of steady-state average drag forces for the plurality of vehicles. The method also includes measuring a plurality of speed changes for the plurality of vehicles. The method also includes calculating, from the plurality of speed changes, a plurality of relative speed performance statistics for relative speed performance between pairs of vehicles, wherein calculating is performed independently of the one or more conditions of the medium.

An object of the present invention is to improve the accuracy of prediction in a technique for predicting natural energy power generation amount, solar radiation amount or wind speed by using a statistical method based on machine learning. In order to achieve this object, provided is a prediction apparatus (10) including a feature value extraction unit (13) that extracts a feature value being a variation in time series from meteorological data from m (m is 2 or more) hours before a target time to the target time, and an estimation unit (first estimation unit (14)) that estimates a natural energy power generation amount, a solar radiation amount, or a wind speed at the target time based on the feature values over plural days.

An object of the present invention is to improve the accuracy of prediction in a technique for predicting natural energy power generation amount, solar radiation amount or wind speed by using a statistical method based on machine learning. In order to achieve this object, provided is a prediction apparatus (10) including a feature value extraction unit (13) that extracts a feature value being a variation in time series from meteorological data from m (m is 2 or more) hours before a target time to the target time, and an estimation unit (first estimation unit (14)) that estimates a natural energy power generation amount, a solar radiation amount, or a wind speed at the target time based on the feature values over plural days.