Abstract: A control system in which an encoder and a controller are connected by serial communication. The encoder includes a data transmission unit configured to: embed, in serial data, position information which is information related to a position of a detection object, and position information generation timing information that indicates a timing at which the position information is generated; and transmit to the controller the serial data. The controller includes a correction unit configured to correct, based on the position information and the position information generation timing information received from the encoder, the position information of the detection object.

Abstract: The invention discloses a dolomite reservoir prediction method and system based on well and seismic combination, and storage medium. The method steps include: obtaining the dolomite index characteristic curve through well log sensitivity analysis, and distinguishing the dolomite and limestone according to the difference in their response range; after the artificial intelligence deep learning is performed on the dolomite index characteristic curve of the drilling area, the dolomite index characteristic curve of the virtual drilling area is obtained; according to the dolomite index characteristic curve of the drilling area and the virtual drilling area, the post-stack seismic data is used for inversion to obtain the distribution and development status of the dolomite reservoir in the test area.

Abstract: A device of analyzing at least one transistor includes a tester circuit, a measure device and a processor. The tester circuit is electrically connected to the transistor, the measure device is electrically connected to the transistor, and the processor is electrically connected to the measure device. The tester circuit is configured to test the transistor. The measure device is configured to receive a waveform from the transistor. The processor is configured to perform a curve-fitting on the waveform to get a transistor characteristic curve, to model the transistor characteristic curve to generate a transistor model, to simulate and regulate one or more parameters of the transistor model to create a new transistor model, and to extract slew rate data from the new transistor model.

Abstract: A cloud-based system for monitoring food storage/processing comprising at least one fixed sensor to collect fixed location environment data; at least one handheld sensor to collect mobile location environment data; and a remote monitoring and reporting system to collect the fixed and remote location environment data and to audit the collected data. A portable device comprises a processor configured to: receive the mobile location environment data; and transmit an auditable version of the received mobile location environment data to the remote system. A hub device comprising a processor configured to: receive the fixed location environment data; and transmit an auditable version of the fixed location environment data. The monitoring and reporting system is configured to determine whether the version of the environment data indicates that the monitored environment is operating within the bounds of a model defining correct operation of a food process and to output an alert if necessary.

Abstract: A measurement method for an aviation-specific inductive proximity sensor (IPS for short) includes steps of: 1) building a measurement circuit, wherein an IPS comprises an internal resistance r and an inductance L; 2) building a look-up table, wherein the step 2) specifically comprises steps of: sampling a first voltage measured value U1 corresponding to a first constant delay time T1 with the ADC; sampling a second voltage measured value U2 corresponding to a second constant delay time T2 with the ADC; then obtaining voltage discharge formulas U1(T1, R, r, L) and U2(T2, R, r, L) of an r-L circuit; and 3) compressing the look-up table, utilizing the compressed look-up table for calculation during measurement. The present invention ensures that the system works within a standard temperature range, and improves measurement stability, reliability, and real-time performance. Furthermore, there is no floating point calculation, which saves CPU or MCU hardware resources.

Abstract: Multiple modules are installed, with each module installed in one of multiple outlets to be mapped. A probe is triggered to propagate a signal that provides circuit information at one of multiple circuit interrupts, where the signal is detectable by any of the modules connected by a single circuit to the one circuit interrupt from which the signal is propagated. The circuit information is retrieved from any of the modules that detected the signal as an indication that the modules from which the circuit information is retrieved are connected to the single circuit.

Abstract: A system and method are provided to monitor, store and communicate data on parameters of a consumable product stored in a sealed container. In one embodiment, the method includes hermetically sealing the product in the container, and packaging the container for sale to a consumer. Packaging includes attaching a system to the container to monitor and store in the memory data on parameters of the consumable product. Attaching the system includes affixing a flexible substrate including a laser-detector pair directly to an outer surface of the container. The laser-detector pair is configured to pass laser light through the container to reflect from a reflector affixed to the outer surface of the container opposite the laser-detector pair to non-invasively sense parameters of the consumable product. The method further includes providing an interrogator to the consumer to communicate with the system to access the data.

Abstract: A report interval mode is selected from one of multiple selectable report interval modes in cases where the preferred sensor sample intervals of multiple applications are different. By using multiple selectable report interval modes some of the problems that occur when a single fixed report interval mode is used can be avoided.

Abstract: A vibration while drilling acquisition and signal processing system include a sensor assembly affixable to a drill string in a drilling unit and a sensor for detecting vibrations in the drill string. A first processor is in signal communication with the sensor and is programmed to digitally sample signals from the sensor. A transmitter in signal communication with the first processor communicates the digitized signals to a device disposed apart from the drill string. The first processor is programmed to operate the signal. An electric power source provides power to the sensor, the first processor and transmitter. Either or both the first processor and a second processor associated with the device is programmed to calculate properties of rock formations using only detected vibration signals from the drill string.

Abstract: A seismic rock physics inversion method based on a large area tight reservoir includes steps: building a multi-scale rock physics model; analyzing fluid sensitivities of rock physics parameters in two scales of acoustic logging and ultrasonic wave, and sifting the rock physics parameters that are most sensitive to a porosity and a gas saturation in a plurality of observation scales; building a single-well rock physics template, preferably a standard template; considering lateral variations and heterogeneity of reservoir geological features, fine-tuning input parameters of the rock physics template according to gas testing situations of all wells in a large work area, optimizing the whole work area and building a three-dimensional work area rock physics template data volume, and combining the data volume with pre-stack seismic inversion to calculate a porosity and a saturation of a target layer; and smoothing a result and finally outputting a reservoir parameter inversion data volume.

Abstract: A system is provided for tracking usage of a plurality of water appliances in a distributed water infrastructure. The system may comprise at least one processor configured to receive, from a location in the distributed water infrastructure upstream of the plurality of water appliances, historical water usage measurements; determine from the historical water usage measurements at least one unique water usage signature associated with each of the plurality of water appliances; receive, from the location in the distributed water infrastructure upstream of the plurality of water appliances, current water usage measurements; determine from the current water usage measurements at least one current water usage signature; compare the current water usage signature with at least one of the unique water usage signatures stored in memory to determine a match; and, based on the signature match, ascertain an identifier of a water appliance in current use.

Abstract: A method of detecting a leak event within a wellbore can include inducing a pressure differential within a wellbore comprising a fluid, obtaining a sample data set representative of the acoustic signal across a frequency spectrum while inducing the pressure differential, determining a plurality of frequency domain features of the sample data set, determining a presence of a leak event at one or more depths within the wellbore based on determining that the plurality of frequency domain features match a leak event signature, correlating the leak event with the induced pressure differential, and determining a presence and location of a leak within the wellbore based on the presence of the leak event and the correlating of the leak event with the induced pressure differential.

Abstract: A surface-consistent refraction analysis automatically derives near surface corrections during seismic data processing. Residual time lags are evaluated in multiple CMP-offset-azimuth bins by similarity analysis with a pilot trace where a correlation window is centered at the refracted arrival. The similarity analysis may take the form of computerized cross-correlation, or other criteria such as semblance. The residuals are then used to build a system of linear equations that is simultaneously inverted for surface-consistent shot and receiver time shift corrections plus a possible subsurface residual term. The refraction analysis steps are completely automated and require a fraction of the time needed for conventional near surface analysis.

Abstract: A system for intelligently implementing an autonomous agent that includes an autonomous agent, a plurality of infrastructure devices, and a communication interface. A method for intelligently calibrating infrastructure (sensing) devices using onboard sensors of an autonomous agent includes identifying a state of calibration of an infrastructure device, collecting observation data from one or more data sources, identifying or selecting mutually optimal observation data, specifically localizing a subject autonomous agent based on granular mutually optimal observation data, identifying dissonance in observation data from a perspective of a subject infrastructure device, and recalibrating a subject infrastructure device.

Abstract: Examples are disclosed that relate to reading stored data. The method comprises obtaining a representation of a measurement performed on a data-storage medium, the representation being based on a previously recorded pattern of data encoded in the data-storage medium in a layout that defines a plurality of data locations. The method further comprises inputting the representation into a data decoder comprising a trained machine-learning function, and obtaining from the data decoder, for each data location of the layout, a plurality of probability values, wherein each probability value is associated with a corresponding data value and represents the probability that the corresponding data value matches the actual data value in the previously recorded pattern of data at a same location in the layout.

Abstract: A method for characterizing a sample, by estimating a plurality of characteristic thicknesses, each being associated with a calibration material, including acquiring an energy spectrum (Sech) transmitted through this sample, located in an X and/or gamma spectral band; for each spectrum of a plurality of calibration spectra (sbase(Lk; Lt)) calculating a likelihood from said calibration spectrum (Sbase(Lk; Lt)), and from the spectrum transmitted through the sample (Sech), each calibration spectrum (Sbase(Lk; Lt)) corresponding to the energy spectrum transmitted through a stack of gauge blocks, each formed of a known thickness of a calibration material; estimating the characteristic thicknesses (L1, L2) associated with the sample according to the criterion of maximum likelihood.

Abstract: Systems and methods are provided for calibrating electromagnetic position tracking systems commonly used in virtual reality systems by compensating for steady state magnetic field distortions that can occur within a tracking volume and distort magnetic sensor readings. The calibration system includes a calibration device that holds magnetic sensor(s) in a fixed position relative to a reference position sensor object provided on the calibration device. The calibration data collection process includes positioning the calibration device at multiple locations within a tracking volume and measuring magnetic position readings using a magnetic tracking system and a corresponding reference position using the reference position tracking system.

Abstract: Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment, friends used and the like. Workout information may be shared to social messaging and networking outlets. Workout information shared may include map information including images of maps, interactive maps, links to maps, route information and the like and/or combinations thereof. Additionally or alternatively, an application may be configured to execute within a context of a social networking system to facilitate athletic activity data transfer and generation of workout entries in the social networking site. Recommended activities to be performed or a recommended time to perform an activity may be determined based on a user's schedule, weather or conditions forecasts, or a location of the user or the potential activity.

Abstract: An analysis system for an aviation radiation dose includes: a proton spectrum generator which generates a galactic cosmic ray incident on the Earth's atmosphere and a proton spectrum corresponding to a solar proton event; a global radiation dose map producer which generates-particle transport and produces a radiation dose map; a global radiation dose map converter which converts the radiation dose map based on a standard atmosphere into a radiation dose map corresponding to current atmosphere conditions in real time; and a database in which data necessary for operations of the proton spectrum generator, the global radiation dose map producer and the global radiation dose map converter is previously calculated and stored, thereby having an effect on estimating any radiation route dose if information about an arbitrary path and time is given.

Abstract: This relates to correcting the actual absolute capacitance values of electrodes of non-optimized geometric shapes that are connected to electronic circuits. To correct the actual absolute capacitance values, a prediction model can first be determined by carrying out nonlinear regression on the basis of actual values of absolute capacitance values from the electrodes and from a probability density image from idealized electrodes for a plurality of object positions. The prediction model can then be applied to the actual absolute capacitance values to obtain a probabilities densities image for the actual absolute capacitance values, considered to be corrected absolute capacitance values used for the detection of the object.