Abstract: A magnetic sensor detects presence or absence of a magnetic field and its polarity. South pole and north pole magnetic fields are respectively detected by the south pole detection operation and the north pole detection operation. A signal processing circuit of the magnetic sensor performs a unit operation including at least one of the south pole detection operation and the north pole detection operation repeatedly at an interval. In this case, if the south pole is detected in the i-th unit operation, the south pole detection operation is performed first in the (i+1)th unit operation. If the south pole is detected in the south pole detection operation, the north pole detection operation is not performed in the unit operation. If the north pole is detected in the i-th unit operation, operations are performed oppositely to the above.

Abstract: A data optimization method and an integral prestack depth migration method are provided, including acquiring a target matrix to be optimized; generating a first sequence according to the target matrix; rarefying the first sequence according to a preset grid density to obtain a value position of each element of a second sequence, and working out a value of each element of the second sequence on the basis of the principle of least squares; performing interpolation on the second sequence to obtain a third sequence; calculating a target matrix corresponding to the third sequence; calculating an error between the target matrix to be optimized and the target matrix corresponding to the third sequence; recording, when the error is less than the first error threshold, the target matrix corresponding to the above second sequence as an optimized target matrix of the target matrix to be optimized.

Abstract: A secret value estimation device is provided for determining an estimate of at least one secret value used by at least one cryptographic mechanism implemented in a cryptographic system from a statistical distribution of a set of multivariate leakage traces determined by a leakage traces statistical distribution unit. Each leakage trace being a vector comprises a plurality of random values, the number of said random values being an integer number superior or equal to 1, the statistical distribution being a function of parametric linear combinations of a set of leakage model basis vectors representing a multivariate leakage model, the number of basis vectors being an integer number superior or equal to 1, and the linear combinations being defined by a matrix of real values.

Abstract: An abnormality is detected in a sensor system mounted on a vehicle and including first and second external sensors for acquiring external information and an internal sensor for acquiring internal information. An error, occurring in an internal motion physical quantity based on the internal information, is estimated based on the external information, and the error is corrected. A first external motion physical quantity based on the external information acquired by the first external sensor, a second external motion physical quantity based on the external information acquired by the second external sensor, and the internal motion physical quantity in which the error is corrected by the correction block are compared to determine an abnormality in the sensor system.

Abstract: Embodiments of the present invention provide an oil-gas reservoir exploration method and apparatus and belong to the technical field of oil-gas exploration. The method includes: acquiring hydrocarbon source rock distribution, reservoir distribution, fault distribution and oil-gas reservoir distribution; determining at least one oil-gas accumulation chain according to the hydrocarbon source rock distribution, the reservoir distribution, the fault distribution and the oil-gas reservoir distribution; and determining exploration targets and an exploration order of oil-gas reservoirs according to the at least one oil-gas accumulation chain and the oil-gas reservoirs on the oil-gas accumulation chain. By using the oil-gas reservoir exploration method and apparatus, the exploration targets and the exploration order may be precisely and rapidly determined.

Abstract: If a controller determines the calculation of a measured vehicle body velocity is possible, the controller calculates the measured vehicle body velocity as an estimated vehicle body velocity to conduct update processing for a K table and an AB table. If the controller determines the calculation of the measured vehicle body velocity is impossible, the controller extracts a conversion coefficient from the K table based on a detected running state while extracting a sensitivity coefficient and an offset coefficient from the AB table based on the temperature by a temperature sensor. The vehicle mounted apparatus calculates an axle pulse-based vehicle body velocity from the extracted conversion coefficient while calculating an acceleration-based vehicle body velocity from the extracted sensitivity coefficient and offset coefficient.

Abstract: Systems and methods for determining object location may include a memory and a processor. The processor may be configured to collect seismic data and geophysical data to determine object location. The processor may be configured to determine one or more seismic attributes associated with a plurality types of noises based on the seismic data and the geophysical data using one or more machine learning algorithms. The processor may be configured to eliminate unwanted noises from noise classifications based on the one or more seismic attributes. The processor may be configured to predict the object location by comparing time and velocity data of the object with recorded timing and velocity data. The processor may be configured to validate the object location by comparing the determined noise with image data. The systems and methods may be used in, for example, detecting missing planes such as Malaysian Airlines Flight 370.

Abstract: A plurality of product ion spectra measured over plurality of cycles for each precursor ion mass selection window of two or more precursor ion mass selection windows are received from a tandem mass spectrometer. A product ion extracted ion chroatograms (XIC) is calculated for each precursor ion mass selection window of the two or more precursor ion mass selection windows from the plurality of product ion spectra for each precursor ion mass selection window. Two or more product ion XICs are produced. A two-dimensional binary bit matrix is generated to represent each product ion XIC of the two or more product ion XICs. For each XIC of the two or more product ion XICs, the binary bit matrix is separately initialized with binary values calculated from each XIC and the initialized binary bit matrix is compared with stored information about known compounds to identify known compounds of each XIC.

Abstract: A method of at least partially deghosting recorded seismic s-waves, wherein recorded seismic data is provided, wherein the recorded seismic data has been recorded at a receiver located beneath the Earth's surface, and wherein the recorded seismic data includes s-wave data. The method may include the steps of finding a model of the Earth's crust for use in deghosting the recorded seismic data using the s-wave data, wherein the model includes at least one region and wherein the model includes the Earth's surface and the location of the receiver, using the model to find a deghosting operator that, when applied to the s-wave data, at least partially deghosts the s-wave data, and applying the deghosting operator to the s-wave data to at least partially deghost the s-wave data.

Abstract: Machine-learning methods and apparatus are disclosed to determine frictional state or other parameters in an earthquake zone or other failing medium, using acoustic emission, seismic waves, or other detectable indicators of microscopic processes. Predictions of future failures are demonstrated in different regimes. A classifier is trained using time series of acoustic emission data along with historic data of frictional state or failure events. In disclosed examples, random forests and gradient boost trees are used, and grid-search or EGO procedures are used for hyperparameter tuning. Once trained, the classifier can be applied to testing or live data in order to assess a frictional state, assess seismic hazard, or make predictions regarding a future failure event. The technology has been developed in a double direct shear apparatus, but can be widely applied to seismic faults, other terrestrial failures, or failures in man-made structures. Variations are disclosed.

Abstract: Methods of identifying a subterranean tunnel using digital imaging that may include: obtaining data of a propagating wavefield through a propagating volume that includes a portion of the earth's subsurface; obtaining a reference digital image of the propagating volume; selecting a holographic computational method of wavefield imaging; selecting a wavefield based on one or more parameters; calculating a sampling ratio by dividing a number of data samples in the data subset by a number of image samples in the data subset; decimating the data subset; generating a new digital image based on the selected holographic computational method of imaging, the decimated data subset, and parameters corresponding to the data subset; determining a quantitative difference measure between the reference digital image and the new digital image, and image quality; and identifying the subterranean tunnel.

Abstract: A process analytic system includes an analytic sensor configured to sense a characteristic of a fluid. The process analytic system also includes measurement circuitry coupled to the analytic sensor and configured to generate an indication of the characteristic of the fluid. The process analytic system includes a processor coupled to the measurement circuitry and configured to receive the indication of the characteristic of the fluid and calculate a sensor-related output based on the indication of the characteristic of the fluid. In addition, the process analytic system includes a diagnostics component configured to determine a rate of degradation of the analytic sensor based on the sensor-related output and a reference value, wherein the rate of degradation is compared to a pre-selected threshold.

Abstract: The invention relates to a method for evaluation of fouling of passages of a spacer plate (10) of a tubular heat exchanger (11), wherein first, second and third pressure sensors (31, 32, 33) are arranged, the method comprising steps of: (a) during a transient operation phase of the heat exchanger determination of a value over time of Wide Range Level NGL, from the measurements of the first and third pressure sensors (31, 33), and of a value over time of Narrow Range Level NGE, from the measurements of the second and third pressure sensors (31, 33); (b) determination of a value over time of Steam Range Level deviation ?NGV, corresponding to the NGL from which a component representative of a variation of free water surface in the heat exchanger has been filtered, from the values of NGL and NGE; (c) comparison of the determined value of ?NGV with a set of reference profiles ?NGVi for said transient operation phase of the heat exchanger, each reference profile ?NGVi being associated with a level of fouling so

Abstract: A computer-implemented method and system implementing the method, are disclosed for computing small cave recognition models, using seismic reflection data. User inputs and earth-model data are obtained over points of incidence of a survey region, at various angles of incidence. Various models are then computed that serve for cave identification and take part in preliminary seismic exploration and reservoir characterization. Therefore, the attributes developed by the computer-implemented method and system serve as indicators of low velocity and density cave recognition which are capable of separating the cave events from the normal layer events; identifying caves with size larger than half to one wavelength of the dominant signal; and identifying cave diffractions from caves that contain a local maximal/minimal at around nine degrees in amplitude versus angle models.

Abstract: A hummingbird and oriole feeder having a nectar reservoir that allows the beak of a feeding bird to access a nectar access point to the nectar. An optical sensor senses the bird's beak entering the nectar access point. The optical sensor can include an optical transmitter forming a beam of light that is received by an optical receiver. The intrusion of a bird's beak into the nectar access point, which occurs when the bird is feeding on the nectar, interrupts the beam of light, creating a change in an electrical signal. The electrical signal is sent to a processing unit that counts each time a bird's beak penetrates the nectar access point and displays the count on the display unit. The count can be reset to zero by a reset switch. There can be multiple nectar access points, which are each counted, using a multiplexer.

Abstract: Systems and methods of performing a seismic survey are described. The system can receive seismic data. The system receives seismic data from one or more seismic data sources. The system propagates the seismic data forward in time through a subsurface model to generate a first wavefield. The system propagates the seismic data backward in time through the subsurface model to generate a second wavefield. The system combines the first wavefield with the second wavefield using a time gate imaging condition to produce subsurface images and image gathers.

Abstract: Common transmission points can be used to monitor a seismic reservoir. First and second common transmission points (CTPs) are received. For each of the first CTP gather and the second CTP gather, the traces before the CTP can be aggregated, and the traces crossing the CTP can be aggregates. The aggregated before CTP traces from the first CTP gather can be compared with the aggregated before CTP traces from the second CTP gather to determine a first time difference. The aggregated cross CTP traces from the first CTP gather can be compared with the aggregated cross CTP traces from the second CTP gather to determine a second time difference. A third time difference can be determined based at least partially on the first time difference and the second time difference.

Abstract: A method, computer program product, and a computer system are disclosed for processing information in a processor that in one or more embodiments includes generating workload information of a performance base test; determining characteristics of the workload information; determining one or more constraints that can cause behavioral changes to a design of the processor; combining the determined characteristics and the determined one or more constraints to generate one or more example constraints; testing the one or more example constraints in one or more example performance tests; and generating one or more performance benchmarks for the performance base test and the one or more example performance tests.

Abstract: A computing device includes a processor and a medium storing instructions executable to: detect a performance degradation of a first component of a computing system; in response to a detection of the performance degradation of the first component, filter a plurality of system events of the computing system using an impact matrix to generate a filtered set of system events, wherein each system event of the filtered set is associated with a first set of components of the computing system, wherein the impact matrix indicates one or more components of the first set that can have a performance impact on the first component; perform a linear regression on the filtered set of system events; and generate a ranked list of system events based on the linear regression, the system events in the ranked list being ordered according to likelihood of having caused the performance degradation.

Abstract: The invention is a system and method for measuring real-time athletic performance. It provides runners or other endurance athletes with a real-time training metric. Rather than attempt to measure the athlete's real-time power output, which is a complicated measurement unproven outside the laboratory, an athlete's performance and environmental conditions (speed, acceleration, incline, running surface, and wind) are measured and used to predict virtual power in real-time.