Abstract: A smart conversion and calibration of the defect coordinate, diagnosis, sampling system and the method thereof for manufacturing fab is provided. The intelligent defect diagnosis method includes receiving pluralities of defect data, design layout data, analyzing the defect data, design layouts, by a Critical Area Analysis (CAA) system. The method utilizes the precisely calibrated coordinate, the defect layout pattern, and the higher accurate calibrated defect size value. So, a more precise killer defect index can be generated with calibrated coordinate deviation calibration and defect size deviation calibration. When judging a defect relating to short circuit or open circuit failure probability, the defect failure result is more accurate and less incorrect judgment.

Abstract: To estimate natural fracture properties based on production from hydraulically fractured wells, a computer system receives hydrocarbon reservoir production information associated with a naturally fractured hydrocarbon reservoir with entrapped hydrocarbons in which a wellbore has been formed to produce the hydrocarbons. The information includes a wellbore pressure measured over production time. From the wellbore pressure, the computer system determines a time rate of change of the wellbore pressure over the production time. From a plot of a logarithmic time rate of change of the wellbore pressure over logarithmic production time, the computer system identifies multiple plot sections, each representing a respective flow regime of a flow of the hydrocarbons from the reservoir.

Abstract: A smart conversion and calibration of the defect coordinate, diagnosis, sampling system and the method thereof for manufacturing fab is provided. The intelligent defect diagnosis method includes receiving pluralities of defect data, design layout data, analyzing the defect data, design layouts, by a Critical Area Analysis (CAA) system. The method utilizes the precisely calibrated coordinate, the defect layout pattern, and the higher accurate calibrated defect size value. So, a more precise killer defect index can be generated with calibrated coordinate deviation calibration and defect size deviation calibration. When judging a defect relating to short circuit or open circuit failure probability, the defect failure result is more accurate and less incorrect judgment.

Abstract: In one embodiment, a method includes facilitating a real-time cross-plot display of drilling-performance data for a current well. The real-time cross-plot display includes a plurality of data plots represented on a common graph such that each data plot specifying at least two drilling parameters. Each data plot includes a plurality of data points such that each data point is expressable as Cartesian coordinates in terms of the at least two drilling parameters. The method further includes receiving new channel data for the current well from a wellsite computer system. In addition, the method includes creating, from the new channel data, new data points for the plurality of data plots as the new channel data is received. Moreover, the method includes updating the plurality of data plots with the new data points as the new data points are created.

Abstract: In some implementations, a device may obtain responsivity data for segments of a fiber optic cable. The device may receive, from a sensor device, vibration data associated with the fiber optic cable, the vibration data being produced by a vibration source in or on soil associated with the fiber optic cable. The device may normalize, based on the responsivity data, the vibration data. The device may determine, based on the normalized vibration data, a distance of the vibration source from the fiber optic cable. The device may perform one or more actions based on the distance satisfying a distance threshold.

Abstract: In one embodiment, a method includes facilitating a real-time display of drilling-performance data for a current well. The method further includes receiving new channel data for the current well from a wellsite computer system. The method also retrieving input data including historical drilling-performance data for an offset well relative to the current well. In addition, the method includes computing calculated data for the current well based on the channel data and the input data. Moreover, the method includes updating the real-time display with the calculated data.

Abstract: A smart conversion and calibration of the defect coordinate, diagnosis, sampling system and the method thereof for manufacturing fab are provided. The intelligent defect diagnosis method includes receiving pluralities of defect data, design layout data, analyzing the defect data, design layouts, by a Critical Area Analysis (CAA) system. The method utilizes the precisely calibrated coordinate, the defect layout pattern, and the higher accurate calibrated defect size value. So, a more precise killer defect index can be generated with calibrated coordinate deviation calibration and defect size deviation calibration. When judging a defect relating to short circuit or open circuit failure probability, the defect failure result is more accurate and less incorrect judgment.

Abstract: A universal automatic test system for a digital plugboard based on imagine processing, includes a digital plugboard test platform, an image acquisition and processing module, a test instrument module and a control and processing module. The universal automatic test system can determine a type of the digital plugboard and a point to be test based on the image of the digital plugboard, and call a corresponding automatic test program to complete the test of each point. A type of the output signal can be obtained through the universal automatic test system. By moving the detection probe, the any position of the digital plugboard can be test, and a fault portion of the digital plugboard can be obtained according to the test result.

Abstract: A probe interface component for a probe that measures an environmental condition. The probe interface component may comprise a first interface configured to removably receive a probe, and a second interface configured to removably connect to an input interface of a mobile computer. The probe interface component may be configured to obtain a value from the probe based on the measurement of the environmental condition, and generate a signal representative of the value in a format compatible with the input interface of the mobile computer. The first interface, the second interface, and/or the input interface may comprise a wireless interface. The environmental condition may comprise a temperature, a humidity, a pressure, a water quality, a gas indication, a radiation level, an indication of contamination, and/or an appearance.

Abstract: In order to predict plant stresses at a localized level, data feeds from many sensor types can be fused and analyzed to create a synthetic sensor estimating plant water stress, predicting microclimatic conditions, and performing localized plant disease and pest modeling. To make this affordable, an array of low-cost, lower precision sensors can be used. Sensor fusion is used to improve the accuracy of each sensing element by using machine learning to fuse data from the other sensing elements in the array. Additionally, machine learning can create a “synthetic sensor” replicating the output of high-cost and maintenance intensive sensing devices by using machine learning to replicate their output.

Abstract: A method of conducting a pressure integrity test for an underground formation includes: whilst fluid is supplied to and/or released and returned from the underground formation under pressure, using an automated monitoring and supervisory system to: monitor the pressure of the fluid being supplied to and/or returned from the underground formation in real-time, monitor a volume of the fluid that is supplied to and/or returned from the underground formation in real-time, determine one or more relationship(s) for the monitored pressure and the monitored volume as the pressure and the volume vary relative to each other and/or with time during the real-time monitoring thereof, and analyze the monitored pressure and volume data using the one or more relationship(s) either in real-time or after completion of the pressure integrity test in order to provide information and/or warnings concerning at least one parameter relating to the underground formation.

Abstract: The monitoring breathalyzer has an alcohol sensor, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC measurement. The sample time is determined based on a time to a predetermined calibration point from a drink start time.

Abstract: A method for enhanced oil recovery may comprise inputting into a computer system data related to properties of a hydrocarbon reservoir and depletion of the hydrocarbon reservoir; calculating, with the computer system, a current oil saturation and a current gas saturation of the hydrocarbon reservoir based on the data; determining, with the computer system, that the current reservoir pressure is less than a bubble point pressure based on the data; calculating, with the computer system, a time to repressure the hydrocarbon reservoir by waterflooding based on the data; comparing, with the computer system, the data related to properties of the hydrocarbon reservoir to oil recovery screening criteria; selecting a flooding technique from a plurality of flooding techniques, with the computer system, based on satisfying the oil recovery screening criteria with the data related to properties of the hydrocarbon reservoir.

Abstract: Disclosed are an apparatus for measuring an in-situ crosslink density includes a support configured to fix or support a cross-linkable structure, a light source configured to irradiate light for crosslinking to the cross-linkable structure, and a probe configured to provide in-situ micro-deformation to the cross-linkable structure, wherein the in-situ crosslink density of the cross-linkable structure is measured from a stress-strain phase lag of the cross-linkable structure by the in-situ micro-deformation, a method of measuring the in-situ crosslink density, a method of manufacturing a crosslinked product, a crosslinked product obtained by the method, and a polymer substrate and an electronic device including the crosslinked product.

Abstract: A 4D quantitative and intelligent diagnosis method for spatio-temporal evolution of oil-gas reservoir damage types and extent includes: determining a characteristic parameter characterizing reservoir damage by each of a plurality of factors based on a spatio-temporal evolution simulation equation of reservoir damage by each of the plurality of factors; and determining an effective characteristic parameter characterizing the damage extent of the reservoir based on the characteristic parameter characterizing reservoir damage by each of the plurality of factors. The method quantitatively simulate the characteristic parameters of reservoir damage caused by the various factors and a total characteristic parameter of the reservoir damage.

Abstract: A device that is capable of determining its relative position with regard to another device. The device accomplishes this by receiving and analyzing two sets of information emitted by the device whose unique identifier and relative position is to be determined. The first set of information received by the device includes a structured light pattern with a known geometric configuration reflected off a surface in view of both devices. The second set of information received by the device includes a digital communication signal that encodes the unique identifier of the emitting device. Both sets of information may be transmitted on a free space optical communication channel that can be non-directed and non-line of sight.

Abstract: A method is provided for generating new objects having given properties, such as a specific bioactivity (e.g., binding with a specific protein). In some aspects, the method can include: (a) receiving objects (e.g., physical structures) and their properties (e.g., chemical properties, bioactivity properties, etc.) from a dataset; (b) providing the objects and their properties to a machine learning platform, wherein the machine learning platform outputs a trained model; and (c) the machine learning platform takes the trained model and a set of properties and outputs new objects with desired properties. The new objects are different from the received objects. In some aspects, the objects are molecular structures, such as potential active agents, such as small molecule drugs, biological agents, nucleic acids, proteins, antibodies, or other active agents with a desired or defined bioactivity (e.g., binding a specific protein, preferentially over other proteins).

Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously enable and/or facilitate the continuous monitoring and identification of damaged utility poles by employing a DFOS distributed acoustic sensing (DAS) methodology in conjunction with a finite element analysis and operational modal analysis. Of particular advantage and in further contrast to the prior art, systems, methods, and structures according to aspects of the present disclosure utilize existing optical fiber supported/suspended by the utility poles as a sensing medium for the DFOS/DAS operation.

Abstract: An intelligent electronic device (IED) includes memory and a processor operatively coupled to the memory. The processor is configured to establish, over a communication network of a power system, a connection association (CA) with a receiving device using a MACsec Key Agreement (MKA). The processor is configured to automatically send an announce message indicating a set of enabled application protocols on the IED to the receiving device.

Abstract: A method can include accessing data associated with a well and one or more offset wells; based on at least a portion of the data, generating a set of distributions via parametric estimation, where the distributions are associated with a well-related activity and time; analyzing individual distributions in the set of distributions with respect to at least a portion of the data to pass or fail each of the individual distributions; and, for one or more passed individual distributions, outputting one of the passed individual distributions for the well.