Abstract: A method for seismic exploration uses visco-acoustic FWI to model velocity and quality factor Q for an explored subsurface formation. The method employs frequency-dependent velocity to reduce cross-talk between Q and velocity and may be used for both isotropic and anisotropic media.

Abstract: A data collection method uses a receiver having data collection sensitivity to signals originating from objects dispersed in a field that is subject to distortion. The sensitivity of the receiver is swept along a first arc. For each of the objects detected during the sweeping step, two of the signals are collected at two different points in time. A difference between the two signals is compared to a threshold. When the difference exceeds the threshold, the sensitivity of the receiver is re-swept along a second arc that is angularly less than the first arc. When the difference is less than the threshold, the signals are captured.

Abstract: A computer-implemented method includes obtaining field data for a field that was generated prior to an agricultural harvesting machine operating on the field, the field data representing an estimated yield, obtaining yield data, that is georeferenced to the field, based on a signal from a yield sensor on the agricultural harvesting machine, applying a flow model to the yield data to generate a yield map, the flow model having a set of parameters that models material flow through a harvesting system of the agricultural harvesting machine, obtaining an adjusted set of parameters based on a correlation between the yield map and the estimated yield, modifying the yield map based on the adjusted set of parameters, and generating a control signal based on the modified yield map.

Abstract: Individual health related events (e.g., handwashing events) can be detected based on multiple sensors including motion and audio sensors. Detecting a qualifying handwashing event can include detecting a qualifying scrubbing event based on motion data (e.g., accelerometer data) and a qualifying rinsing event based on audio data. In some examples, power consumption can be reduced by implementing one or more power saving mitigations.

Abstract: Systems and methods employed measure borehole density by neutron induced gammas using a pulsed neutron tool. Traditional nuclear density methods only measure a bulk average density of the surrounding material. As discussed below, methods to measure only the borehole density excluding the contamination from the formation are disclosed. Specifically, the proposed methods use unique signatures from each geometric region to directly measure the borehole density or compensate for the contamination from formation. This method may be achieved by a borehole density measurement using differential attenuation of capture gamma from casing iron, a borehole density measurement using differential attenuation of inelastic gamma from oxygen, a differential attenuation of any induced gamma from any element from borehole and formation, or any combination thereof.

Abstract: A damage matrix generating device proposed. The damage matrix may include a memory and a processor configured to control the memory. The processor may acquire warhead fragment data obtained by classifying mass and number of fragments scattering in given directions as a warhead is detonated, and target vulnerable area data obtained by classifying a vulnerable area according to an encounter relationship between a fragment and a target. The processor may also generate a virtual target based on an approach direction of the fragment to each of the grids, the grids dividing a ground plane. The processor may further generate a damage matrix by extracting encounter information of fragments to meet the virtual target as the fragments scatter in the given directions based on the warhead fragment data and calculating a damage probability for each ground location according to the encounter information based on the target vulnerable area data.

Abstract: An analysis device according to an aspect of the present disclosure: acquires a plurality of pieces of premise information and measurement data which relate to states of a plurality of mechanisms which configure a production line; identifies causal relationships among the plurality of mechanisms by statistically analyzing the plurality of pieces of measurement data under constraint conditions imposed by the premise information; outputs causal relationship information indicating the identified causal relationships; accepts a revision to the causal relationships indicated by the outputted causal relationship information; revises the premise information so as to impose the constraint conditions which comport with the revised causal relationships; and saves the revised premise information.

Abstract: The present disclosure describes smart meter modules. A smart meter module may include a support frame and an outer cover. The support frame includes a top mounting plate, a bottom mounting plate, and an inner bracket between the top and bottom mounting plates and coupled thereto. The top mounting plate is spaced apart a distance from the bottom mounting plate to form an interior space of the module. The inner bracket has a central aperture that is generally perpendicular relative to the top and bottom mounting plates and configured to receive and secure a smart meter within the interior space of the module. The outer cover is configured to be secured to the inner bracket and sized to extend circumferentially around the interior space of the module. One or more elongated mounting apertures in the bottom mounting plate are configured such that the smart meter module can be secured to the top of a mounting pole. Smart meter module assemblies are also provided.

Abstract: A seismic monitoring system includes a plurality of seismic monitors and a processing device operatively coupled to the plurality of seismic monitors. The processing device receives recordings of waveforms of motion detected at the plurality of seismic detectors in a geographic area. The processing device applies the respective recordings to corresponding positions of the seismic detectors in a three-dimensional geological model that describes its elastic attributes and tests a plurality of moment tensors at a plurality of locations. Based on the testing, the processing device determines a globally convergent source location and moment tensor in the three-dimensional model based on the testing.

Abstract: The present disclosure relates to systems and methods for determining vehicle battery health. In some embodiments, an example method may include receiving, from a first vehicle, a first value for a first data type and a second value for a second data type, the first data type and the second data type relating to a battery of the first vehicle. The example method may also include determining, for the first data type and the second data type, a minimum possible value, a maximum possible value, and an offset indicator, wherein the offset indicator provides an indication of a significance of the first value and the second values relative to the minimum possible value and maximum possible value for the first data type and the second data type respectively. The example method may also include determining a weight for the first data type and a weight for the second data type.

Abstract: A detection system for detecting winding faults, such as inter-turn winding faults in the stator and/or rotor of an electrical generator utilizes one or more vibration sensors that can be located on a generator housing. The vibration sensors make mechanical vibration measurements and transmit them to a fault analyzer. The fault analyzer can compare the measured vibrations with a threshold to determine if a winding is occurring. In an embodiment, the fault analyzer can convert the mechanical vibration measurements from the time domain to a frequency domain to facilitate analysis.

Abstract: Computer-based methods that permit two or more users to perform simultaneous edits on a digitally encoded molecular structure. The methods use properties of conflict-free replicated data types (CRDT's) and causal trees to provide a distributed system which can manage the life-cycle of virtual molecular structures; including simultaneous editing, versioning, and provenance. Applications of the technology include, but are not limited to: simultaneous computer aided design of molecules in 2D or 3D in which users may be distributed across multiple computers and in which the need for computer time synchronization (offline or online editing) is obviated; version control and provenance tracking of a virtual molecule; and other types of data used in computer aided molecular design activities.

Abstract: The disclosure presents a process for sharpening an image data representation of collected measurements from a subterranean formation. The sharpening process utilizes an azimuthal filter applied to azimuthal radial ranges around a borehole to designate azimuthal bins. The azimuthal filter utilizes a set of filter coefficients to modify an azimuthal target bin. The set of filter coefficients is a devolution set as it contains at least one positive and one negative filter coefficient. The filter ratio of positive to negative filter coefficients can be adjusted utilizing the statistical uncertainty of the collected measurements and a targeted filter ratio. In some aspects, an axial filter process, also using a binning methodology, can be applied to the collected measurements, where the azimuthal and axial filtered values can be combined for the final image representation. The azimuthal and axial processes can be executed in serial or parallel process flows.

Abstract: Aspects of the disclosure relate to computing platforms that utilize improved techniques for dynamic event verification. A computing platform may receive first source data comprising driving data associated with a vehicle over a time period. Based on the first source data, the computing device may determine that the vehicle experienced an event, resulting in an event output. In response to determining the event output, the computing device may generate a request for second source data associated with the vehicle over the time period. The computing device may receive, from a sensor device, the second source data. Based on a comparison of the first source data to the second source data, the computing platform may determine an event comparison output. The computing platform may determine that the event comparison output exceeds a predetermined comparison threshold, and may send an indication of an event in response.

Abstract: A thermostat is disclosed. The thermostat can include one or more temperature sensors configured to measure one or more temperature values. The thermostat can include a processing circuit. The processing circuit can receive the one or more temperature values from the one or more temperature sensors. The processing circuit can receive one or more central processing unit (CPU) usage values, wherein the one or more CPU usage values indicate computing usage of the processing circuit. The processing circuit can determine, based on an empirical model comprising one or more gain values and one or more filters and based on one or more signals, a temperature of the building. The one or more signals comprise the one or more temperature values and the one or more CPU usage values. The empirical model accounts for dynamics of heat generated by the processing circuit and airflow acting on the thermostat.

Abstract: System and methods for predicting time-dependent rock properties are provided. Seismic data for a subsurface formation is acquired over a plurality of time intervals. A value of at least one rock property of the subsurface formation is calculated for each of the plurality of time intervals, based on the corresponding seismic data acquired for that time interval. At least one of a trend or a spatio-temporal relationship in the seismic data is determined based on the value of the at least one rock property calculated for each time interval. A value of the at least one rock property is estimated for a future time interval, based on the determination. The estimated value of the at least one rock property is used to select a location for a wellbore to be drilled within the subsurface formation. The wellbore is then drilled at the selected location.

Abstract: A system includes a central analysis station and a display. The central analysis station may be configured to receive a unique identifier and performance data from each of a plurality of solar panels. The central analysis station may detect a problem in at least one of the plurality of solar panels based on the performance data. A display may be configured to display a status of the at least one of the plurality of solar panels based on the detected problem.

Abstract: This disclosure describes a system and method for generating a subsurface model representing lithological characteristics and attributes of the subsurface of a celestial body or planet. By automatically ingesting data from many sources, a machine learning system can infer information about the characteristics of regions of the subsurface and build a model representing the subsurface rock properties. In some cases, this can provide information about a region using inferred data, where no direct measurements have been taken. Remote sensing data, such as aerial or satellite imagery, gravimetric data, magnetic field data, electromagnetic data, and other information can be readily collected or is already available at scale.

Abstract: A system, method, and apparatus for reducing ringing effects associated with a transducer comprises a transducer body, a transducer cap, a piezoelectric element formed in the cap, and a damping material formed around the piezoelectric element wherein the damping material suppresses a ringing effect associated with the transducer, while an O-ring is used together with damping material to support high pressure applications up to 230 bars.

Abstract: A manufacturing history management system according to an aspect of the present disclosure includes a data generation unit, a data storage unit, and a data extraction unit. The data generation unit generates manufacturing history data by associating internal void information specific to a product and manufacturing history information of the product with a product identification code. The data storage unit stores the manufacturing history data relating to a plurality of the products generated by the data generation unit. The data extraction unit checks the internal void information of the manufacturing history data of the plurality of products stored in the data storage unit against the internal void information of a predetermined product and extracts the manufacturing history data that matches the internal void information of the predetermined product from the manufacturing history data of the plurality of products stored in the data storage unit.