Abstract: The present disclosure provides an inversion method for determining a pollution source list based on artificial intelligence and big data, an inversion system for determining the pollution source list based on artificial intelligence and big data, and applications thereof, which provides basic data support for government sectors to formulate relevant environmental protection measures. The specific technical solution employed in the present disclosure is as follows: finding out an emission source that makes the highest contribution to the pollutant concentration of any cell with an advanced 3D CNN artificial intelligence algorithm based on artificial intelligence and big data, establishing a model of the relationship between pollutant concentration and emission, and finding out the relationship between pollutant concentration and emission with machine learning technology, i.e., estimating an emission from a given pollutant concentration, and estimating a pollutant concentration from a given emission.

Abstract: A method for reconstructing at least one trace in a seismic image of a common receiver and time domain includes a convolutional neural network trained under an unsupervised learning approach with a modified receptive field.

Abstract: A method includes providing a Bottom Hole Assembly (BHA) in a wellbore. The BHA includes a rotary steerable system and a downhole attitude correction and control system. The downhole correction and control system includes a first sensor set, the sensors of the first sensor set positioned near ferromagnetic components of a drill string and a second sensor set, the sensors of the second sensor set positioned further from the ferromagnetic components of the drill string than the sensors of the first sensor set. Corrupted data from the first sensor set and reference data from the second sensor set is obtained, the corrupted data including cross-axis magnetometer and accelerometer measurements. The method additionally includes correcting the corrupted sensor data to form corrected sensor measurements and calculating an estimated azimuth from the corrected sensor measurements. The method further includes steering the rotary steerable system based on the estimated azimuth.

Abstract: Crop management system that calculates and displays the amount of each nutrient applied to a crop over time. Fertilizer descriptions in the system's database include the amount of each nutrient in each fertilizer. Users may enter and edit a feeding schedule that describes how much of each fertilizer to apply to a crop at a sequence of feeding times. The system may combine the fertilizer descriptions and the feeding schedule data to calculate the amount of each nutrient applied at each time. Charts may be generated to display trends in nutrient fractions over time. Feeding schedules may be organized into growth stages. Users may select from a set of feeding schedule templates to create a new feeding schedule. The system may also include task management functions, and it may automatically generate and track feeding tasks based on the feeding schedules.

Abstract: The present disclosure provides a method and an Internet of Things (IoT) system for assessing a loss of a maintenance medium of a smart gas pipeline network. The method comprises: determining a degree of a maintenance impact based on maintenance data; determining a target supply for a maintenance pipeline branch in a target time period based on the degree of the maintenance impact and historical supply data; determining a target demand for the maintenance pipeline branch in the target time period based on historical usage data; determining a target loss in the target time period based on the target supply and the target demand; and determining a replenishment parameter based on the target loss.

Abstract: Provided is a sound-based roller fault detecting method by using double-projection neighborhoods preserving embedding, including: acquiring sound data during operation of a roller, performing a wavelet transform energy feature extraction on normal data in the data to obtain wavelet transform energy feature data, then performing double-projection neighborhoods preserving embedding feature extraction on the wavelet energy feature data to obtain an optimal projection matrix of the feature data, establishing a detection model, constructing T2 statistics of a feature space and a residual space of normal sound data, determining detection control limits according to the T2 statistics by a kernel density estimation method, and further judging whether newly acquired data has faults.

Abstract: Disclosed herein are a spherical-motion average radiant temperature sensor (SMART Sensor) system which can be used in various applications, including but not limited to, informing or controlling HVAC systems in buildings, locating and tracking people or objects, and detecting the release of gases. The system may optionally include the use of sensors other than a non-contacting temperature sensor to improve calculations and determinations made by the system.

Abstract: A detection method includes acquiring three-dimensional coordinate values of at least two points in a second area included in a first area, based on measured values acquired by measuring the first area by an infrared distance measuring sensor, the second area is smaller than the first area, calculating a position of a plane including the second area, based on the three-dimensional coordinate values of the at least two points, and deciding the position of the plane as a three-dimensional shape of the first area.

Abstract: A method of validating a directional survey includes measuring the gravity and magnetic field vectors using a surveying tool and computing an overall statistical distance of the measurement. The statistical distance may be calculated from reference values associated with the surveying tool using corresponding surveying tool codes with error values. In a further aspect, an error covariance matrix may be used to determine whether the new errors in a survey are consistent or not with errors from one or more previous surveys.

Abstract: Provided is an automatic analysis device and an analysis method which are capable of reliably detecting an abnormality in a dispensing amount of a solution such as a specimen or a reagent to be dispensed and suppressing a decrease in analysis accuracy.

Abstract: Improved systems and methods for laboratory instrument calibration. A laboratory instrument retrieves a number of sets of past quality control parameters from a data structure. Each set includes a recovered value and a timestamp. The recovered value is equal to an output value adjusted by an initial calibration factor. The laboratory instrument determines that the number of sets is greater than a threshold and that each of the past quality control parameters has a timestamp that is within a time threshold. The laboratory instrument computes an updated calibration factor such that when the updated calibration factor is applied to a representative value of the recovered values, the representative value equals the expected recovered value. The instrument updates the data structure with the calibration factor such that the calibration factor is used in subsequent testing of patient specimens.

Abstract: Described herein are devices, systems, and methods used to assess an organ or organ system and determine a course of treatment for said organ, organ system, and/or patient.

Abstract: The invention comprises a device (10) for testing a test object (40), comprising an excitation system (13) for generating broadband ultrasound pulses (12?) in the test object, a detection system (20) for detecting ultrasound waves (21), which are generated through the broadband ultrasound pulses (12?) in the test object (40) and emitted by the test object (40). The device (10) comprises a processing unit (30) for processing the detected ultrasound waves (21), while the excitation system (13) being one of a thermoacoustic emitter or a pulsed laser and the detection system (20) is a broadband detection system. The excitation system (13) comprises a modulator (11) for modulating the broadband ultrasound pulses (12?). Furthermore, the invention comprises a method for testing a test object.

Abstract: Systems and methods are provided, which relate to identification, troubleshooting, and maintenance/repair of water systems and water devices within such systems. A given water device may include an identifier which may be captured by an installation device when attempting to install the water device and sent to a remote server. The remote server may identify the water device and provide installation support, registration, and/or configuration of the water device. Configuration of the water device may be performed based on configurations of other highly-performing water devices that are similar to the water device, as identified by the server. Problem signatures associated with known possible problems that may arise within a water device may be generated and stored in memory, then may be referenced against real-time device operation data and/or configuration data of the water device in order to diagnose and recommend remediation of problems with the water device.

Abstract: Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.

Abstract: Methods and systems are provided for characterizing connate water salinity and resistivity of a subsurface formation. Well log data including resistivity and spontaneous potential (SP) log data are measured by at least one downhole tool disposed within a borehole. The resistivity and SP log data are inverted to determine a resistivity model and an SP model, which are used to determine connate water resistivity. The connate water resistivity is used to determine connate water salinity. The connate water salinity derived from the inversion of resistivity log data and SP log data (or derived from a trained ML system supplied with such log data) can be used as a baseline measure of connate water salinity, and this baseline measure can be evaluated together with the connate water salinity estimates derived from pulsed neutron tool measurements over time-lapsed periods of production to monitor variation in connate water salinity due to production.

Abstract: Provided is a rotation angle detection device including: an intermediate signal generation unit configured to generate an intermediate signal based on a product of a sine signal and a cosine signal which are based on a rotation angle of a rotating body; a first multiplication unit; and a first rotation angle calculation unit. The intermediate signal generation unit includes: a first multiplier configured to calculate the product of the sine signal and the cosine signal; and a first low-pass filter configured to remove frequency components equal to or higher than twice a frequency of fundamental waves of the sine signal and the cosine signal from an output of the first multiplier.

Abstract: Computer system and computer-implemented method comprising: providing a digital-twin database comprising individual digital twins for a multitude of coordinate measuring devices; assigning an individual code to each of the multitude of coordinate measuring devices; providing on a first coordinate measuring device the assigned code; and pairing the first device with a mobile device, the pairing comprising capturing the individual code of the first device and sending the captured individual code together with an identifier, verifying the sent individual code and storing the identifier of the mobile device assigned to the digital twin of the first device.

Abstract: In examples, a vehicular battery management system (BMS) comprises a set of battery cells and a secondary network node coupled to the set of battery cells. The secondary network node is configured to measure a parameter in the set of battery cells and generate a packet containing the parameter. The packet indicates a number of super frame slots that have elapsed from a start time of a super frame to the generation of the packet. The secondary network node is configured to wirelessly transmit the packet within the super frame to a primary network node. The primary network node is configured to wirelessly receive the packet and to determine a time at which the secondary network node generated the packet based on the indication, a time duration of each slot in the super frame, and the start time of the super frame.

Abstract: A method for constructing a dynamic security region of a power grid based on an extended phase trajectory theory includes: obtaining a system transient stability condition and a power angle leading generator group by transient simulation of an initial operation point of a system; for generators in the leading generator group A, changing output of each of the generators to search for a dominant instability critical point; calculating the reciprocal of the slope of the tangent line of the trajectory of n swings of an extended phase plane based on angular velocity-angular acceleration in a fourth quadrant, and changing a small disturbance output of the generator at the dominant instability critical point to solve a sensitivity of the extended phase trajectory; and constructing a multi-modal practical dynamic security region based on the extended phase trajectory.