Abstract: A method of identifying defects in an electronic assembly, comprising, by a processing unit, obtaining a grid of nodes representative of a location of electronic units of an electronic assembly, wherein each node is neighboured by at most eight other nodes, wherein a first plurality of nodes represents failed electronic units according to at least one test criterion, and a second plurality of nodes represents passing electronic units according to the least one first test criterion, based on the grid, determining at least one first and second straight lines, and attempting to connect the first and second straight lines into a new line, wherein if at least one node from the new line belongs to the second plurality of nodes, concluding that an electronic unit represented by the node on the grid is a failed electronic unit, thereby facilitating identification of a failed electronic unit on the substrate.

Abstract: Systems, methods, and a computer readable medium are provided for monitoring and detecting a gas emission. Sensor data including gas concentration and wind data associated with a gas emission from an emission source is received from Near-Field and Far-Field sensors configured within a gas production and distribution environment. The sensor data can be provided as inputs to a Near-Field dispersion model to determine an emission rate associated with the gas emission and one or more source locations associated with the gas emission. The emission rate can be included in emission data and provided for output. Related apparatus, systems, techniques, and articles are also described.

Abstract: A method comprises performing data pre-processing of initial signals to obtain pre-processed initial signals; building a first machine learning model based on the pre-processed initial signals; generating output signals using the first machine learning model; computing ranks of the output signals; computing classifications of the output signals; and building a set of stacked machine learning models based on the ranks and the classifications. The set of stacked machine learning models may be used to generate subsurface well log data, NMR data, or other data.

Abstract: An information processing apparatus includes a memory in which processing instruction information including data to be processed and setting information is stored; a first executing unit that executes processing of the data to be processed on a basis of a first product and the setting information; a first measurement unit that measures a predetermined item concerning a first processing result of the first executing unit; a second executing unit that executes processing of the data to be processed on a basis of a second product and the setting information; a second measurement unit that measures the item concerning a second processing result of the second executing unit; and an output unit that outputs a result of comparison between the first processing result and the second processing result on a basis of a measurement result of the first measurement unit and a measurement result of the second measurement unit.

Abstract: Methods and systems to monitor and analysis unconventional reservoirs with wellbores with a substantially horizontal section. Monitoring and analysis is conducted in three dimensions using high-resolution geochemical fingerprinting analyses of rock samples and produced oil samples. The invention uses methods to preserve, prepare, extract, and/or analyze hydrocarbons in the pore spaces of or adsorbed in organic-rich rock samples, such as, but not limited to, drill cuttings and drill cores, using one or more combinations of physical energy sources, including, but not limited to, thermal, vapor pressure, and mechanical stress. The collected samples are transported and prepared in low temperature conditions, with parts of subsequent processing at very low temperatures, thereby allowing a fuller measurement of geochemical fingerprints for the extracted hydrocarbons using various analysis tools. More particularly, the treatment and process allows geochemical fingerprinting to very low carbon number ranges.

Abstract: A system and method for remote calibration of an air-quality sensor device. The method includes receiving sensor data from at least one sensor device; analyzing the received sensor data to identify at least statistically-significant values indicating on at least drift from initial calibrated values of each of the at least one sensor device; for each identified drifted sensor device, computing re-calibration updates, wherein the re-calibration updates adjust the initial calibrated values such that readings of the respective drifted sensor device fall within a range of expected values; and transmitting the re-calibration updates to the respective drifted sensor device, wherein the respective drifted sensor device upon receiving the re-calibration updates is configured to update its calibration parameters.

Abstract: A method for estimating characteristics of a ceramic fired body, the method including: preparing a ceramic fired body by firing a formed green body; measuring a color of the ceramic fired body; and with use of a correlation between the color and at least one characteristic selected from a group consisting of a porosity, a pore diameter, and a thermal expansion coefficient previously determined for a ceramic fired body having a same composition as that of the ceramic fired body, estimating the at least one characteristic of the ceramic fired body from the color of the ceramic fired body, measured in the previous step.

Abstract: A farming machine is configured to identify and treat plants in a field. The farming machine includes one or more light sensors for measuring a characteristic of light. The one or more light sensors are coupled to the farming machine and are directed a substantially upwards orientation away from the plants. A control system adjusts settings of an image acquisition system based on a characteristic of light measured by the one or more light sensors. The image acquisition system captures an image of a plant using one or more image sensors coupled to the farming machine, the one or more image sensors directed in a substantially downwards orientation towards the plants. The control system identifies a plant in the image and actuates a treatment mechanism to treat the identified plant.

Abstract: For estimating motor torque and velocity, a method estimates a velocity profile for a motor based on line-to-line voltages and phase currents for the motor. The velocity profile is estimated without a position input and a velocity input. The method further estimates a torque profile for the motor based on the line-to-line voltages, the phase currents, and a time interval of the velocity profile of motor velocities greater than a velocity threshold, and wherein the motor is operating over the time interval.

Abstract: The present invention relates to methods and kits to assess an absorbed dose of ionizing radiation and/or the severity of tissue injury from radiation in a patient. The invention also relates to algorithms used to calculate an absorbed dose of radiation based on biomarker measurements of a plurality of biomarkers that are altered relative to a normal control in the event of radiation exposure.

Abstract: Disclosed herein is an apparatus for facilitating chemical analysis based on color principle. Accordingly, the apparatus may include a base located at the bottom of the apparatus. Further, the base may be composed of a rectilinear receptacle. Further, the apparatus may include an intermediate plate located above the base. Further, the apparatus may include a hood located atop the intermediate plate. Further, the hood may include a hood rectilinear receptacle. Further, the hood rectilinear receptacle may be secured to the intermediate plate using a fastening mechanism. Further, the apparatus may include a roundtable housed within the hood. Further, the apparatus may include a motion system passing through and engaging with the roundtable and the hood. Further, the apparatus may include an analysis system embedded into at least one board suspended within the base. Further, the analysis system facilitates automated chemical analysis of a plurality of extraneous vials.

Abstract: A bio-signal measuring apparatus includes a first electrode, a second electrode, a third electrode, a fourth electrode, and a first circuit network and a second circuit network, each of the first circuit network and the second circuit network includes one or more resistances. The bio-signal measuring apparatus further includes an impedance measurer configured to measure a first impedance of the first circuit network in a first correction mode, measure a second impedance of the second circuit network in a second correction mode, measure a third impedance of an object in a first measurement mode, using the first electrode, the second electrode, the third electrode, and the fourth electrode, and measure a fourth impedance of the object in a second measurement mode, using the first electrode, the second electrode, the third electrode, and the fourth electrode.

Abstract: An atmospheric pollution emission control effect evaluation method, device and storage medium, including: carrying out meteorological condition frequency statistics of data collected from meteorological station, obtaining meteorological condition frequency distribution information; obtaining pollutant concentration information, performing pollutant concentration distribution statistics to obtain pollution concentration distribution information and pollution concentration variation information; decomposing effects of meteorological factors and non-meteorological factors according to meteorological condition frequency distribution information, pollution concentration distribution information and pollution concentration variation information, to obtain meteorological and non-meteorological contribution information; constructing source emission control effect evaluation data set according to meteorological condition frequency distribution information, pollution concentration distribution information, meteorologic

Abstract: A tire-side device is attached to a tire included in a vehicle and applied to a tire apparatus for estimating a condition of a road surface on which the vehicle travels. The tire-side device includes: a vibration detector outputting a detection signal according to a level of vibration of the tire; a controller having a feature quantity extraction device extracting a feature quantity of the detection signal in one rotation of the tire; and a transmitter transmitting road surface data including the feature quantity extracted by the feature quantity extraction device.

Abstract: A downhole tool may comprise a mandrel, wherein the mandrel is a structural support for the downhole tool; one or more arms, wherein the one or more arms are attached to the mandrel; and a pad, wherein the pad is connected to the one or more arms. The pad may comprise a material, where the material expands or contracts from an external electromagnetic field; an insulator, wherein the insulator is connected at a first end to the material; and an electrode, wherein the electrode is connected to the insulator. A method may comprise applying a time varying biasing voltage to a material, wherein the material exhibits mechanical strain; taking a first measurement and a second measurement with at least one operating frequency with an electrode; calculating a mud property based at least in part on the first measurement and the second measurement; and applying a mud effect removal algorithm to the mud property.

Abstract: This application provides methods and systems for automated condition-based maintenance of mechanical systems. Example systems may at least one memory coupled to one or more computer processors that are configured to receive first data from the mechanical system indicative of performance of a first component of the mechanical system, determine, using the first data, a first performance metric for the first component, determine, using the first performance metric, a probability value that a fault has occurred at the first component, and determine, using the probability value, a predicted length of time until failure of the first component.

Abstract: A device for real-time self-diagnosis of a fan and a method are disclosed for detecting whether a fan body encounters an environment abnormal situation. The fan body includes a motor, a fan and a tachometer. The fan body further includes a microcontroller for receiving a speed signal of the tachometer and calculating a speed value of the fan, and detecting a current value of the motor during operation. The microcontroller can control the motor to drive the fan according to a monitoring period and a control signal transmitted from the control board, and can calculate a speed change amount according to the monitoring period, and can calculate a current change amount. When the speed change amount exceeds a speed change threshold and the current change amount exceeds a current change threshold for a period of time, the microcontroller generates an environmental anomaly signal.

Abstract: Techniques for determining a spacing, such as one or more distances, between two or more wellbores formed from a terranean surface to a subterranean formation are described. In some aspects, a wellbore segment is determined for both a first and a second wellbore. One or more distances between the wellbore segments on the first and second wellbores, respectively, is determined. From the determined distance between the wellbore segments on the first and second wellbores, one or more distances between the first and second wellbores may be determined.

Abstract: A method and apparatus for operating a gas sensor are disclosed. In an embodiment a method for operating a gas sensor includes providing, by at least one gas sensor element, a sensing signal and correcting, by a neural network, the sensing signal, wherein the neural network comprises an input layer, an output layer and at least one hidden layer, wherein the input layer comprises a given number k>1 of input neurons for each gas sensor element, and wherein a respective gas sensor element provides its sensing signal to one of the corresponding input neurons dependent on a measurement parameter applied to the at least one gas sensor element.

Abstract: A Fisher's exact test calculation apparatus includes: a condition storage 1 that has stored therein a condition for determining whether a result of Fisher's exact test corresponding to input is significant or not, the input being frequencies in a summary table; and a calculation unit 2 that obtains the result of Fisher's exact test corresponding to the frequencies in the summary table by inputting the frequencies in the summary table to the condition read from the condition storage 1.