An example device includes: a data input module configured to receive information about a living being's physiological signals, coordinates, and motion intensity; an activity recognition module configured to calculate, from information received about the living being's motion intensity, a living being's activity; a location recognition module, configured to calculate, from information received about the living being's coordinates, a living being's location; a memory storage configured to store information about the living being's physiological signals and activity in association with the location; a normalization parameters estimator module configured to use a mathematical model to calculate a plurality of normalization parameters for a plurality of detected activities and locations; and a model selector module configured to determine, based on the plurality of normalization parameters and the living being's location, a set of location-specific normalization parameters used to further calculate normalized physiological signals for the living being.

This method allows determining the operating point of a hydraulic machine in a considered operating range, such as turbine mode, and comprises steps that consist in a) determining two coordinates (N′11, T′11) of a first series of potential operating points of the hydraulic machine for the orientation affected to guide vanes of the machine, b) measuring the rotation speed of the machine, and c) determining the torque exerted by water flow on the machine. The method further includes steps consisting in d) calculating two coordinates (N11, T11) of a second series of potential operating points of the machine in function of the rotation speed (N) measured at step b) and the torque determined at step c), and e) deducing the two coordinates (N11_real, T11_real) of operating point that belongs both to the first and the second series in the said considered operating range of the machine.

This method allows determining the operating point of a hydraulic machine in a considered operating range, such as turbine mode, and comprises steps that consist in a) determining two coordinates (N′11, T′11) of a first series of potential operating points of the hydraulic machine for the orientation affected to guide vanes of the machine, b) measuring the rotation speed of the machine, and c) determining the torque exerted by water flow on the machine. The method further includes steps consisting in d) calculating two coordinates (N11, T11) of a second series of potential operating points of the machine in function of the rotation speed (N) measured at step b) and the torque determined at step c), and e) deducing the two coordinates (N11_real, T11_real) of operating point that belongs both to the first and the second series in the said considered operating range of the machine.

A detection method used for a fuel tank, comprising: receiving a result of determining whether a constant-speed refueling condition is satisfied (S100); if determined that the constant-speed refueling condition is satisfied, then receiving detection parameters collected from a refueling terminal by means of a sensor according to a preset frequency (S102); and inputting the detection parameters into a preset shape determination model, and determining the shape of a staged fuel tank (S104). Thus, the technical problem of poor fuel tank metering management that is caused by the inability to detect different types of fuel tank shapes is solved.

A detection method used for a fuel tank, comprising: receiving a result of determining whether a constant-speed refueling condition is satisfied (S100); if determined that the constant-speed refueling condition is satisfied, then receiving detection parameters collected from a refueling terminal by means of a sensor according to a preset frequency (S102); and inputting the detection parameters into a preset shape determination model, and determining the shape of a staged fuel tank (S104). Thus, the technical problem of poor fuel tank metering management that is caused by the inability to detect different types of fuel tank shapes is solved.

An example method for estimating vehicle repair costs includes receiving, via one or more sensors coupled to a damaged vehicle involved in a crash, crash information of the damaged vehicle, the crash information including vehicle operating information of the damaged vehicle; analyzing the crash information with respective collision data of a vehicle type that includes or is similar to the vehicle type of the damaged vehicle, the analyzing including comparing at least one of a velocity or an acceleration included in the vehicle operating information to vehicle operating characteristics indicated by the respective collision data of the vehicle type; determining one or more damaged vehicle parts of the damaged vehicle based on the analyzed crash information; determining a cost estimate to repair the damaged vehicle based on the one or more damaged vehicle parts; and transmitting an indication of the cost estimate.

Target point cloud data about a specific road are extracted from perimeter point cloud data acquired by moving a road surface measurement device along a measurement route and scanning the surroundings thereof. A data storage unit stores trajectory point sequence data that represent, as a plurality of trajectory points, the perimeter point cloud data and a trajectory of the movement of the road surface measurement device. A trajectory point sequence setting unit acquires a trajectory point sequence at equal intervals from the trajectory point sequence data. An extraction area setting unit sets, as extraction areas, a column area Ci and a parallelepiped area Hi that are geometric areas disposed at predetermined positions below a trajectory point Xi. An approximate nearest neighbor search processing unit and an extraction processing unit extract, as the target point cloud data, point data that belong to this extraction area of the perimeter point cloud data.

Target point cloud data about a specific road are extracted from perimeter point cloud data acquired by moving a road surface measurement device along a measurement route and scanning the surroundings thereof. A data storage unit stores trajectory point sequence data that represent, as a plurality of trajectory points, the perimeter point cloud data and a trajectory of the movement of the road surface measurement device. A trajectory point sequence setting unit acquires a trajectory point sequence at equal intervals from the trajectory point sequence data. An extraction area setting unit sets, as extraction areas, a column area Ci and a parallelepiped area Hi that are geometric areas disposed at predetermined positions below a trajectory point Xi. An approximate nearest neighbor search processing unit and an extraction processing unit extract, as the target point cloud data, point data that belong to this extraction area of the perimeter point cloud data.

An information processing apparatus, includes: a memory; and a processor coupled to the memory and configured to: generate, based on three-dimensional point cloud data indicating three-dimensional coordinates of each point on a three-dimensional object, image data in which two-dimensional coordinates of each point and a depth of each point are associated with each other; specify, as a target point, a point of the three-dimensional point cloud data corresponding to an edge pixel included in an edge portion of the image data, and specifies, as a neighbor point, a point of the three-dimensional point cloud data corresponding to a neighbor pixel of the edge pixel; and eliminate the target point based on a number of the neighbor points at which a distance to the target point is less than a predetermined distance.

An object of the present invention is to provide a ground boundary estimation method, a ground boundary estimation apparatus, and a program that can acquire the elevation of the ground boundary of the electrical pole quickly and accurately even when the base of the electrical pole is shielded by any shield at observation of the electrical pole. According to the ground boundary estimation method of the present invention, a difference in height between the columnar shape of a three-dimensional model of a columnar object such as an observed electrical pole and a standard shape of the columnar object at a position in which the three-dimensional model and the standard shape are equal to each other in the horizontal dimension is determined, and a penetration depth prescribed by the standard is subtracted from the difference in height, to find a height of a shielded portion of the ground boundary of the columnar object.