The present invention relates to an apparatus and a method for determining a scaling factor for a strain measurement in a machine element, comprising steps for measuring a strain in a measurement surface portion by means of a strain measuring device; for measuring a displacement of a detection surface portion of the machine element by an optical scanning; for determining a displacement field on a surface of the machine element on the basis of a model of the machine element and the measured displacement of the at least one detection surface portion; for determining a strain field on the surface of the machine element on the basis of the determined displacement field and the model of the machine element; and for determining a scaling factor of the strain measuring device on the basis of the determined strain field and the measured strain in the measurement surface portion.

The present invention relates to an apparatus and a method for determining a scaling factor for a strain measurement in a machine element, comprising steps for measuring a strain in a measurement surface portion by means of a strain measuring device; for measuring a displacement of a detection surface portion of the machine element by an optical scanning; for determining a displacement field on a surface of the machine element on the basis of a model of the machine element and the measured displacement of the at least one detection surface portion; for determining a strain field on the surface of the machine element on the basis of the determined displacement field and the model of the machine element; and for determining a scaling factor of the strain measuring device on the basis of the determined strain field and the measured strain in the measurement surface portion.

Data is received that comprises a full model for a physical object having a rotating part and a stationary part. The physical object includes fields coupled between the rotating part and the stationary part. A mesh is then generated for a portion of the physical object that includes a rotating mesh and a stationary mesh. Thereafter, a partial simulation model is created based on the full model and the mesh. Coupling relationships are established for the fields between the rotating mesh and the stationary mesh in the partial simulation model. The fields are then solved based on the coupling relationship of the partial simulation model. Thereafter, fields of the full model can be recovered based on the solved fields. Related apparatus, systems, techniques and articles are also described.

Data is received that comprises a full model for a physical object having a rotating part and a stationary part. The physical object includes fields coupled between the rotating part and the stationary part. A mesh is then generated for a portion of the physical object that includes a rotating mesh and a stationary mesh. Thereafter, a partial simulation model is created based on the full model and the mesh. Coupling relationships are established for the fields between the rotating mesh and the stationary mesh in the partial simulation model. The fields are then solved based on the coupling relationship of the partial simulation model. Thereafter, fields of the full model can be recovered based on the solved fields. Related apparatus, systems, techniques and articles are also described.

Systems and methods are described for creating three dimensional models of building objects by creating a point cloud from a plurality of input images, defining edges of the building object's surfaces represented by the point cloud, creating simplified geometries of the building object's surfaces and constructing a building model based on the simplified geometries. Input images may include ground, orthographic, or oblique images. The resultant model may be scaled according to correlation with select image types and textured.

Systems and methods are described for creating three dimensional models of building objects by creating a point cloud from a plurality of input images, defining edges of the building object's surfaces represented by the point cloud, creating simplified geometries of the building object's surfaces and constructing a building model based on the simplified geometries. Input images may include ground, orthographic, or oblique images. The resultant model may be scaled according to correlation with select image types and textured.

Audio processing for a headworn device can include obtaining ear geometry of a user. A frequency response or transfer function can be determined, based on the ear geometry of the user and a model of the headworn device, where the frequency response or transfer function characterizes an effect of a path between a speaker of the headworn device and an ear canal entrance of the user on sound. An equalization filter profile can be generated based on the based on the frequency response or transfer function. The equalization filter profile can be applied to an audio signal, and the audio signal can be used to drive the speaker of the headworn device.

The present invention relates to personal care compositions comprising malodor reduction compositions and methods of making and using such personal care compositions. Such personal care compositions comprising the malodor control technologies disclosed herein provide malodor control without leaving an undesireable scent and when perfume is used to scent such compositions, such scent is not unduely altered by the malodor control technology.

Methods and systems are provided that are effective to generate an alarm for a vehicle. The methods include receiving, by a device, a first sensor value from a first sensor for the vehicle. The methods further include receiving, by the device, a second sensor value from a second sensor for the vehicle. The methods further include retrieving, by the device, an instruction from a memory disposed in the vehicle while the memory is in a write-protected mode. The methods further include evaluating, by the device, the first sensor value and the second sensor value based on the instruction. The methods further include determining, by the device, that the first sensor value is outside a range associated with the first sensor based on the evaluation. The methods further include transforming, by the device, the determination into an alarm.

Provided is a casting simulation method capable of expressing influence of different inelastic strains produced at different temperatures on strain hardenability at room temperature. The following amount of effective equivalent inelastic strain ε.sub.effective inelastic is substituted into a constitutive equation in which an amount of equivalent inelastic strain is used as a degree of work hardening:

an amount of effective equivalent inelastic strain ε.sub.effective inelastic=∫.sub.o.sup.t{h.sub.(T)/h.sub.(RT)}{(Δε.sub.inelastic/Δt)}dt

, where T denotes a temperature with inelastic strain, h.sub.(T) denotes an increment of yield strength at room temperature with respect to an amount of inelastic strain at the temperature with inelastic strain, h.sub.(RT) denotes an increment of yield strength at room temperature with respect to an amount of inelastic strain applied at room temperature, h.sub.(T)/h.sub.(RT) denotes an effective inelastic strain coefficient α(T), Δε.sub.inelastic/Δt denotes an equivalent inelastic strain rate, and t denotes a time from 0 second in analysis.