A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

The present invention relates to a method for evaluating the thermal expansion properties of a titania-containing glass body. On the basis of measured values, obtained at a certain temperature, for a physical parameter that changes depending on the titania concentration and a physical parameter that changes depending on the fictive temperature, the thermal expansion coefficient of the titania-containing silica glass body and the slope of the thermal expansion coefficient are calculated using a linear relational expression represented by a plurality of physical properties. The thermal expansion properties of the titania-containing silica glass body are evaluated on the basis of the calculated thermal expansion coefficient and thermal expansion coefficient slope.

An apparatus for additively manufacturing three-dimensional objects may include a process chamber within which an additive manufacturing process is to be performed, and a determination device. The determination device may include a wave generator and a receiving unit. The wave generator may be configured to generate an acoustic wave and to cause the acoustic wave to propagate across a surface within the process chamber. The receiving unit may be configured to receive the acoustic wave after having propagated across the surface within the process chamber. The determination device may be configured to determine a wave parameter of the acoustic wave having been received and to determine a surface parameter of the surface within the process chamber based at least in part on the wave parameter.

Methods, systems, and devices for determining an acoustic parameter of a downhole fluid using an acoustic assembly. Methods include transmitting a plurality of pulses; measuring values for at least one wave property measured for reflections of the plurality of pulses received at at least one acoustic receiver, including: a first value for a first reflection traveling a first known distance from a first acoustically reflective surface having a first known acoustic impedance, a second value for a second reflection traveling a second known distance substantially the same as the first known distance from a second acoustically reflective surface having a second known acoustic impedance, and a third value for a third reflection traveling a third known distance from a third acoustically reflective surface having a third known acoustic impedance substantially the same as the second acoustic impedance; and estimating the acoustic parameter using the values.

A system and method to determine a non-plastic state shrinkage (NPSS) characteristic of a cement slurry. The system and method can include operations of transmitting an ultrasonic signal through the slurry, recording a transit time of the ultrasonic signal as the slurry cures, plotting the transit time, measuring and plotting a shrinkage of the slurry, determining a transition of the transit time from an increased rate of change to a decreased rate of change, determining a first curing time at the transition, determining the detected volume at the first curing time based on the second plot; and determining a change in the detected volume from the first curing time to a second curing time, wherein the second curing time is after the first curing time.

A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

Anisotropic elastic properties and subsequently in situ stress properties for a rock formation surrounding a wellbore are computed from rock physics and geomechanical models. Mineralogy data measured from DRIFTS on cuttings from the wellbore and rock physics and geomechanical models that have been log-calibrated in another wellbore are used in the computation. The method includes: (1) Defining and calibrating rock physics and geomechanical models using data from the first wellbore; (2) using DRIFTS analysis to measure mineralogy data on rock cuttings obtained through drilling operation in the second wellbore; and (3) using previously calibrated models to estimate in situ stress properties, including a stress index and the minimum principal stress magnitude.

A heating value derivation device includes a sound velocity derivation unit configured to derive a sound velocity of a gas flowing through a gas flow path, and a heating value derivation unit configured to refer to correspondence relationship information to derive a heating value per unit volume of the gas.

This disclosure pertains to weighing a physical item while it is moving in a servo-driven conveyor system for e-commerce, logistics, manufacturing and other applications. The introduction of an unknown mass to an electro-mechanical feedback or filter network controlling a conveyance system will modify the steady state behavior of that system in such a way that measuring the phase or frequency shift of an input signal or oscillation will enable us to infer the magnitude of that mass.

In the method for determining the depth of hardening d.sub.H, a predefinable number of at least 5 pulses of transverse ultrasonic waves are coupled into a component at a surface of the component. An individual pulse has at least one oscillation period. Between the individual pulses, the variance in the amplitude heights of ultrasonic waves backscattered or reflected back from the component is detected, during which the propagation time t.sub.L of the ultrasonic waves is determined. The difference between maxima and minima of the determined variances of the ultrasonic waves following the in-coupling is then formed, this value being multiplied by a factor between >0 and 1 and the product being summed with the minimum of the determined variances. The depth of hardening d.sub.H is determined under consideration of the product from the determined propagation time V.sub.LZ, the cosine of the angle .sub.r at which the ultrasonic waves are coupled into the component surface, and the sound velocity c.sub.T of the ultrasonic waves in the component material.