Abstract: Methods are presented for determining the location of underground features (e.g., CO2). One method includes capturing, by sensors distributed throughout a region, seismic traces associated with seismic signals generated by a seismic source. For multiple sensors, active noise is identified or passive noise is measured within each seismic trace and values for attributes associated with the active or passive noise are determined. Further, an unsupervised machine-learning model, based on the values of the attributes, is utilized to determine noise characteristics for multiple sensors. The sensors are grouped in clusters based on the noise characteristics for each sensor. For multiple clusters, a noise filter is created based on the noise characteristics of the sensors in the cluster, and the noise filter of the cluster is applied, for multiple sensors, to the seismic traces of the sensor. Additionally, the filtered seismic traces are analyzed to determine a location of CO2 underground.

Abstract: A system for inspecting or screening electrically powered device includes a signal generator inputting a preselected signal into the electrically powered device. There is also an antenna array positioned at a pre-determined distance above the electrically powered device. Apparatus collects RF energy emitted by the electrically powered device in response to input of said preselected signal. The signature of the collected RF energy is compared with an RF energy signature of a genuine part. The comparison determines one of a genuine or counterfeit condition of the electrically powered device.

Abstract: Disclosed is a method to remove distortion from a navigation system. The navigation system may be used to perform a procedure on a subject. The procedure may be any appropriate procedure. The navigation system may be used to account for the distortive effects of various conductive objects positioned near the subject on which the procedure is performed.

Abstract: Disclosed is a novel type of computing apparatus which is integrated within a buoy that obtains the energy required to power its computing operations from winds that travel across the surface of the body of water on which the buoy floats. Additionally, these self-powered computing buoys utilize their close proximity to a body of water in order to significantly lower the cost and complexity of cooling their computing circuits. Computing tasks of an arbitrary nature are supported, as is the incorporation and/or utilization of computing circuits specialized for the execution of specific types of computing tasks. And, each buoy's receipt of a computational task, and its return of a computational result, may be accomplished through the transmission of data across satellite links, fiber optic cables, LAN cables, radio, modulated light, microwaves, and/or any other channel, link, connection, and/or network.

Abstract: A system can output a graphical user interface for use in planning or performing a wellbore operation. The system can receive a location of a geological point location of interest for subterranean exploration and a geological time-frame for the geological point location of interest. The system can determine present-day data about the geological point location of interest from the received location. The system can generate a pseudo-well and reconstruct geological-historical parameters in separate time-intervals based on the received location, plate-tectonic models, and paleo-geographic datasets. The system can generate a graphical user interface including present-day data, paleo-geographic data, plate-tectonic data, and plate-interaction data. The system can output the graphical user interface for use in planning or performing a wellbore operation to extract hydrocarbon fluid.

Abstract: A method including obtaining, for a subterranean region, a set of sedimentary pathways, a sediment attribute map, and an area of interest. From these inputs, a sedimentary fairway, and a sedimentary fairway attribute based on the location of the origin point of each member of the set of sedimentary pathways, and a spatial location of the terminal point of each member of the set of sedimentary pathways are determined. Further, the method includes dividing the sedimentary fairway into one or more sedimentary pathway domains and a sediment attribute profile for each sedimentary pathway domain based on a trajectory of each sedimentary pathway, and determining an intersection of the trajectory of each sedimentary pathway with one or more boundaries of the area of interest.

Abstract: The present disclosure proposes a power flow analysis device and a power flow analysis method for an AC/DC hybrid system. Wherein, the device comprises: a memory being stored a computer program; and a processor performing the following steps when executing the computer program: obtaining an AC system voltage and a commutation reaction of the DC transmission system, a first trigger angle of the rectifier, and a second trigger angle of the inverter; constructing an AC equivalent model according to the AC system voltage, the commutation reaction, the first trigger angle, and the second trigger angle; and performing a power flow calculation according to the AC equivalent model to obtain a power flow analysis result of the AC/DC hybrid system.

Abstract: In various embodiments, an object or vehicle's state, value, diagnostics and/or other condition are obtained from a configurable multi-sensor array. In some cases, the object drives through the sensor array. In some cases, the sensors pass over or by the object. A report is generated on the object's condition. A variety of sensor data are amalgamated into a report via a configurable backend process. A user interface allows for interaction with the ability to interface with components in the system.

Abstract: A railroad car location, speed and heading sensor system including at least one self-powered, tie-mounted sensor node that is applicable universally to different railroad settings without using track circuits, inductive loops, radar systems, and wheel counters and associated disadvantages. Reliable and relatively low cost deterministic and redundant car presence detection is realized when multiple sensor nodes are arranged in a network, which may be a wireless mesh network, that is not affected by environmental conditions.

Abstract: This disclosure relates generally to a method and system for prediction of correct discrete sensor data, thus enabling continuous flow of data even when a discrete sensor fails. The activities of humans/subjects, housed in a smart environment is continuously monitored by plurality of non-intrusive discrete sensors embedded in living infrastructure. The collected discrete sensor data is usually sparse and largely unbalanced, wherein most of the discrete sensor data is ‘No’ and comparatively only a few samples of ‘Yes’, hence making prediction very challenging. The proposed prediction techniques based on introduction of temporal uncertainty is performed in several stages which includes pre-processing of received discrete sensor data, introduction of temporal uncertainty techniques followed by prediction based on neural network techniques of learning pattern using historical data.

Abstract: A power management device and microprocessor within a System-in-Package (SiP) are provided with communication signals externally available as outputs from the SiP so that they can be configured by an external device. Methods for the configuration of SiPs and Power Management Integrated Circuits (PMICs) packaged within a SiP are also provided.

Abstract: A method for detecting a deviation in a flow meter parameter is provided. The method includes measuring a differential pressure across at least a portion of the flow meter, calculating a friction factor based on a measured flow rate and the measured differential pressure. The method also includes comparing the calculated friction factor to an expected friction factor based on the measured flow rate and detecting a deviation in the flow meter parameter if the difference between the calculated friction factor and the expected friction factor exceeds a threshold limit.

Abstract: Systems and methods enable predicting flow rate in a pipeline by using machine learning. Data is collected from a pipeline with an acoustic device and transmitted from the acoustic device to a server. The data is processed and, based on the processing, a reference model is selected that is most appropriate for the processed data. Features extracted from the data are input to the reference model. The reference model outputs a predicted flow rate.

Abstract: Disclosed is a method of location identification using a single beacon. The method comprises determining a first distance between a beacon and a first sensor, where the first sensor is embedded in a mobile device. It also includes determining a second distance between the beacon and a second sensor, where the second sensor is embedded in the mobile device. The method also includes defining a vector, where the vector has a magnitude equal to the distance between the first and second sensor, and a direction pointing from the first sensor to the second sensor. The method further includes calculating a plurality of potential locations. The method then determines the actual location.

Abstract: An example test system includes a circuit to sample a signal that is repetitive in cycles to obtain data; a processor configured to generate an eye diagram based on the data, where the eye diagram represents parametric information about the signal; and a functional test circuit to receive the signal and to perform one or more functional tests on the signal. The test systems is configured to receive the signal from a unit under test and to allow the signal to pass to the functional test circuit inline without changing at least part of the signal.

Abstract: Systems and methods include monitoring a health of at least one asset. A remaining useful life (RUL) of the at least one asset is estimated based on the monitoring. The RUL of the asset is categorized into categories comprising shorter than a time to complete a current mission and longer than the time to complete the current mission. One or more remedial actions are automatically performed during the current mission if the RUL is categorized as being less than the time to complete the current mission. The remedial actions comprise one or more of initiating a fail-safe mode, adapting a controller of the one or more assets, reconfiguration of the system, and adjusting the current mission of the one or more assets. Maintenance is scheduled for after the current mission of the at least one asset if the RUL is categorized as being greater than or equal to the time to complete the current mission.

Abstract: An assembly has a rotating element, a sensor, and an evaluation unit; wherein the element has a number a of markings; wherein the markings pass through a region detected by the sensor in cycles when the element rotates; wherein the sensor is configured to send a signal to the evaluation unit; and wherein the evaluation unit is configured to assign a time ti for when each signal is sent, wherein the evaluation unit is configured to calculate a function m(t) over time t as a measure for a gradient of the rotational rate of the element.

Abstract: Systems and methods for self-organizing data collection based on a production environment parameter are disclosed. An example monitoring system for data collection in a production environment may include a data collector coupled to a plurality of input channels coupled to a plurality of sensors co-located on a component of the production environment and to a network infrastructure; a data storage to store collected data; a data acquisition circuit to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of the input channels; an expert system to self-organize data collection, wherein the self-organizing is based on a production parameter of the production environment; and wherein the data collector is responsive to the self-organizing to change a collection of the data.

Abstract: An abnormality detecting device determines an abnormality in an apparatus by comparing data on vibration detected in the apparatus with a predetermined threshold. Moreover, the abnormality detecting device changes the threshold depending on a length of work time required for the apparatus to perform a certain work.

Abstract: A measurement of phase frequency response of a device under test (DUT), wherein the DUT is characterized by a set of switchable configurations, comprises choosing the steps of a particular configuration of the DUT having nominal parameters as a reference configuration, measuring an amplitude frequency response Aref (f) and a phase frequency response ?ref(f) of the reference configuration, processing all configurations of the DUT which are different from the reference configuration, one after another, by measuring an amplitude response A(f) of the configuration being processed, calculating a minimum phase difference response ??min(f); and calculating for each configuration, a phase frequency response ?(f) of the respective configuration which is being processed, in accordance with ?(f)=?ref(f)+??min(f).