660 results about "Data calibration" patented technology

Method and system for providing continuous calibration of analyte sensors includes calibrating a first sensor, receiving data associated with detected analyte levels from the first sensor, and calibrating a second sensor based on a predetermined scaling factor and data associated with detected analyte levels from the first sensor, is disclosed.

Method and system for providing continuous calibration of analyte sensors includes calibrating a first sensor, receiving data associated with detected analyte levels from the first sensor, and calibrating a second sensor based on a predetermined scaling factor and data associated with detected analyte levels from the first sensor, is disclosed.

In a method of calibrating an image capture environment based on a captured image obtained by capturing an image of a physical space by an image capturing unit that captures the image of the physical space, an image of the physical space is captured using the image capturing unit, an index serving as a reference for calibration is detected from the captured image of the physical space, the position and orientation of the image capturing unit are calculated from the detected index, and image capturing unit unique information, geometric information associated with the physical space, or the relationship between the image capturing unit and the physical space is calibrated using the obtained data.

Techniques are provided for accessing information about a medical device or a related component. One or more interrogatable identification elements are located in a medical device. An interrogation device can communicate with the identification element(s), which element(s) can store information about the medical device, such as a manufacturer name, a date of manufacture, an expiration date, configuration data, calibration data, and a list of enabled functions. In certain embodiments, the interrogation device can also store information in the identification element at any time, such as usage time or usage frequency.

A method, system, and apparatus for remotely calibrating data symbols received by a radio frequency identification (RFID) tag population are described. Tags are interrogated by a reader, which may be located in a network of readers. The reader transmits data symbols to the tags. Tags respond to the interrogations with symbols that each represent one or more bits of data. To calibrate the tags, the reader transmits a plurality of pulses of different lengths to the tag population. The tags receive the plurality of pulses. A characteristic of each pulse, such as a pulse length, is stored by the tags. The stored pulse lengths are used to define different data symbols that are subsequently received by the tags from the reader.

A method for calibrating a surveying instrument is disclosed the survey instrument comprising a base element (3) and a camera with an image sensor (10), the camera being rotatable about a vertical axis (2) fixed with respect to said base element and being rotatable about a tilting axis (4), the tilting axis being rotated about the vertical axis with rotation of the camera about the vertical axis, In the method, data associated with calibration points (P) and images (P1) of the calibration points on the image sensor captured in different faces are used, the data for each of said calibration points comprising distance data and the data for each of the images of each said calibration point comprising image position data and orientation data. Further, on the basis of the distance data for each of the calibration points and the image position and orientation data for each of the images of the calibration points the surveying instrument is calibrated simultaneously taking into account at least one optical property of camera and at least one of the relative orientation of the vertical axis and the tilting axis and the orientation of the camera relative to one of the base element, the vertical axis and the tilting axis.

The invention discloses a data calibration method. The data calibration method comprises the following steps of obtaining to-be-calibrated data and attributes of the to-be-calibrated data; performing preliminary analysis on the to-be-calibrated data according to the attributes of the to-be-calibrated data; determining a data type of the to-be-calibrated data according to a preliminary analysis result and a data type in a rule database; obtaining a rule of the data type of the to-be-calibrated data from the rule database; calibrating the to-be-calibrated data according to the rule of the data type of the to-be-calibrated data. The invention also discloses a data calibration device. According to the data calibration method and device, a rule for related universal various data types are collected in advance, the rule is processed and classified in a standard mode, then the rule database comprising a plurality of data types is established, calibration of the various data types can be achieved through the rule database, meanwhile complexities for data calibration work development is reduced, the maintenance workload is reduced, the data calibration accuracy rate and the calibration efficiency are improved.

Systems, methods and devices for improving the accuracy of GNSS data are provided. Specifically, embodiments of the invention can advantageously use sensor input to improve the accuracy of position fixes. The use of physical sensors in navigation systems is deemed particularly advantageous, especially where altitude data derived from the pressure sensor is calibrated with and / or blended with GNSS altitude data.

Methods and systems for matching critical dimension measurement applications at high precision across multiple optical metrology systems are presented. In one aspect, machine parameter values of a metrology system are calibrated based on critical dimension measurement data. In one further aspect, calibration of the machine parameter values is based on critical dimension measurement data collected by a target measurement system from a specimen with assigned critical dimension parameter values obtained from a reference measurement source. In another further aspect, the calibration of the machine parameter values of a target measurement system is based on measurement data without knowledge of critical dimension parameter values. In some examples, the measurement data includes critical dimension measurement data and thin film measurement data. Calibration of machine parameter values based on critical dimension data enhances application and tool-to-tool matching among systems for measurement of critical dimensions, film thickness, film composition, and overlay.

The invention relates to an abnormal power consumption detection method based on a neural network. The method diagnoses and analyzes an operation condition of equipment based on an established abnormal power consumption detection model, judges whether metering equipment is in a normal operation condition and realizes an aid decision-making function. The method concretely comprises the following steps of (1) data acquisition: data are mainly from electric energy metering data, operation condition data and event recording data in an electric energy meter and an acquisition terminal; (2) data cleaning: the used data can enter the model after being subjected to data cleaning and screening; (3) data classification: after data cleaning completes, the data are calibrated, one column of numbers for representing data classification is added at the end of the data for classification, and the data subjected to data calibration are integrated into training data; (4) a modeling process: an algorithm model is constructed in a manner of supervised learning; (5) model implementation; and (6) result analysis: the final accuracy rate of abnormal power consumption found by the model maintains at a high level.

A method for the nondestructive inspecting of coated or uncoated pipeline, using ultrasonic guided waves excited on the outer or inner pipe surface, wherein at least one or more transducers are individually or simultaneously excited to generate ultrasound, wherein multiple received signals with different focal spot positions are processed and combined to produce a reduced number of final waveforms that show defect axial positions in the pipe, wherein a data calibration scheme is utilized to adjust velocity variability for all the guided wave modes at different frequencies, and wherein the hardware arrangement has at least one pulser channel and one receiver channel for the collection and storage of signals.

The invention discloses a method for judging the fluid type of a reservoir through an acoustic porosity-neutron porosity differential, which relates to the technical field of oil and gas logging, geology and core test analysis. The method comprises the following steps: 1) accurately calculating shale content, rock compositions, acoustic porosity and neutron porosity of the reservoir through core data calibration logging and logging data environment correction; 2) excluding the influence of factors such as lithology, borehole diameter and mud invasion on an acoustic transit time and neutron data; and 3) establishing a standard for judging the fluid type of the reservoir by comparing the magnitude of the acoustic porosity and the neutron porosity and using the response difference of the acoustic transit time and the neutron data to the gas and formation water. In the method, non-fluid influence factors such as the lithology, borehole conditions, mud invasion and the like are excluded when the fluid type of the reservoir is judged, so the characteristics of the influence of different fluids on the acoustic transit time and the neutron data can be grasped truly, and the coincidence rate of judging the fluid type of the reservoir is improved from 70 percent currently to over 90 percent.

The invention provides a wireless field intensity breath detecting method and device and a breath detector. Channel state information CSI is extracted from existing 802.11WiFi wireless signals and is utilized for acquiring the weak changes, caused by breath during sleep of people, of the wireless signals, and therefore the aim of tracking and detecting the human body breath condition is achieved. By means of a CSI extracting step, a data correction step and a breath rate detecting step, an existing 802.11a / g / n WiFi network and a mobile terminal are utilized, no professional wearable sensor is needed, the wireless field intensity breath detector is customized, besides, the device can be installed in a mobile terminal of a user as software, and detection can be achieved by upgrading existing wearable equipment. Therefore, the device can be popularized to home environments in a large scale, serves as an applied product for people to carry out long-term human body health monitoring every day and has very high application and business value.

The invention discloses a multichannel receiver real-time calibration device. The multichannel receiver real-time calibration device comprises a synchronous error calibration device used for carrying out real-time synchronous calibration and error compensation on a multichannel receiver, and an amplitude-phase error calibration device used for carrying out real-time amplitude-phase calibration and error compensation on the multichannel receiver. The invention further discloses a multichannel receiver real-time calibration method. The multichannel receiver real-time calibration device and method achieve comprehensive error calibration, real-time synchronous calibration and real-time amplitude-phase calibration can be carried out on the multichannel receiver at the same time through the integrated structure, high real-time performance and flexibility are achieved, the degree of automation is high, the error calibration is carried out on the whole system working process, the system calibration process can be finished only by making corresponding selection on a system control interface without need of any wiring or hardware change, operation is easy, use is rapid, influence on a receiving channel from environment conditions and device characteristics can be compensated accurately, and large bandwidth signals can be received effectively.

The invention discloses a test system and control method for a full state blowing experiment of a tilting rotor, and the test system and the control method comprise an unmanned tilting rotor platform,a power system, a transmission system, a data calibration system, a data link system, a ground test and control system, a control system and a control method. The test system and control method for the full state blowing experiment of the tilting rotorhave the ability to calibrate, test and control the integrated blowing experiment of the tilting rotor blowing model. The ground test and control system communicates commands with an on-board control system through a wireless data link to complete the full state blowing experiment under the matching of different blowing speeds and nacelle angles, which is particularly suitable for studying the interference relation between the tail flow and the wing / fuselage in the dynamic state of the rotor and to provide a reliable parameter basis for analyzing the aerodynamic interference mechanism of the tilting rotor and optimizing the nonlinear flight dynamics modeling of the tilting rotor. The integrated control system has the advantages of simplewiring, high experimental efficiency and perfect test state, and effectively improves the efficiency of the full state blowing experiment of the tilting rotor.

A method of modifying a geological model representative of an underground reservoir is disclosed which respects average proportions of the lithologic facies imposed by a production data calibration process which has application to petroleum reservoir development. A geographical zone Z is defined within the geological model and an average proportion in zone Z allowing the production data to be calibrated is determined for k facies, with an optimization process. The proportions of these facies are modified using a block indicator cokriging method constrained by the average proportions to be respected. A new geological model constrained by the modified facies proportions is simulated and the development of the underground medium is optimized by the simulated model.

The invention relates to a system for measuring the height of a human body in a video image based on camera calibration and further discloses a method for measuring the height of a human body in a video image based on camera calibration. The system comprises a calibration point selecting module, a camera parameter calculating module, a body height measuring end point selecting module and a human body height calculating module. By the adoption of the system and the method, the height of a person erectly standing on the ground can be measured only by relying on monitored video image data after camera parameters and corresponding space transformation matrixes of the parameters are calculated. The height calculating process is simplified. The camera parameters are calculated according to the correspondence relation of image space coordinates and actual space coordinates of the same position point. The height of the person erectly standing on the ground is calculated by combining with the camera parameters and foot bottom point and head top point measurement end point information and utilizing a height calculating algorithm.

This invention relates to methods for calibrating a formation permeability model with respect to data obtained from fluid flow measurements. A method according to the invention includes determining a correlation coefficient for a porosity-irreducible water saturation relationship; determining a leading coefficient for a formation permeability model; and determining at least one exponent parameter for the formation permeability model by minimizing a basis function that represents a difference between a formation permeability estimate derived from the formation permeability model and a formation permeability estimate derived from the fluid flow measurements.

A process of data calibration and correction is disclosed that utilizes feedback from a temperature sensor of an x-ray detector to isolate or otherwise select an appropriate calibration or correction map that is specific to the temperature of the x-ray detector during data acquisition. The method is also designed to take into account changes in power transients of an x-ray detector between the acquisition of imaging data and the acquisition of offset data. The method is particularly applicable in optimally selecting and applying gain correction, conversion factor, bad pixel, and offset calibrations.

Instrument and method for detecting pesticides and other analytes. A sample to be tested is mounted on a cassette and inserted into a housing which is substantially impervious to light, and light from a source within the housing is directed toward the sample to induce fluorescent emission from analyte on the sample. Fluorescent emissions from the sample are monitored with a detector within the housing to detect emissions having a spectral content characteristic of the analyte to be detected. Data from the detector is processed, and information based on the processed data is displayed. In some embodiments, the instrument is calibrated with data from a reference sample of known concentration or density. The detector measures the analyte in units of mass per unit area, and in some embodiments the mass per unit area is converted to units of concentration or density of the analyte in the sample.

The invention provides a calibration method and calibration system for the amplitude phase error of a satellite-borne DBF (Digit Beam Forming) transmitting channel. The calibration method and the calibration system respectively comprise two levels of calibration schemes, and the two levels of calibration schemes are composed of output Butler front-end channel part amplitude phase calibration and output Butler rear-end channel part amplitude phase calibration. The method comprises the following steps of: firstly, injecting a calibration signal after inputting the Butler, and coupling the calibration signal at a test port which transmits the Butler, thereby realizing the calibration of a frequency mixer and a power amplifier; and then, keeping the original calibration signal injection mode, and receiving the calibration signal through a far field, thereby realizing the calibration of a filter and a feed source array. Through the method and system provided by the invention, the measurement accuracy of the amplitude phase error is improved greatly, so that the method and the system can be used for effective loads of communication satellites, detection satellites and navigation satellites, and also can be used in the technical fields of ground radars and the like.

The invention discloses a digital calibration system of partial discharge test equipment. The digital calibration system is characterized in that the system comprises a device to be tested, and a digital calibrator and a measurement and control computer of the partial discharge test equipment which is connected with the device to be tested, wherein the output end of the digital calibrator of the partial discharge test equipment is connected with the measurement and control computer; the measurement and control computer compares the collected waveform and data measured value with the standard value output by the digital calibrator to perform analysis and calculation and obtain the error of the measured value and the standard value, outputs the error value, and measured value and standard value to a data outputting machine so as to realize the calibration of the partial discharge test equipment. In the system of the invention, the wide measuring range which is 1-10000pc, the high accuracy standard pulse calibrator and a high speed data acquisition card with 12 bits of precision are adopted to ensure the calibration accuracy to reach + / -2%.

The invention belongs to the technical field of relative position calibration between a camera and a robot, and discloses an automatic hand-eye calibration method and device for optimal calibration point selection and error automatic measurement. The method comprises the following steps that a calibration plate guiding six-axis mechanical arm is used for aligning a calibration plate with the camera, and an initial sampling position of the mechanical arm is obtained; the mechanical arm clamps the camera or the calibration plate to complete a series of rotary movements, photographing and sampling are carried out on the calibration plate by the camera in the movement process, a calibration plate recognition algorithm is used for estimating the pose of the calibration plate, and meanwhile, unreasonable points are filtered out; and a calibration equation is solved, error measurement is conducted on a solution result by using sampled points in the calibration process so as to realize a fully-automatic quantifiable calibration solution scheme and device. According to the method, an obtained calibration error can be quantified in various dimensions such as rotation and translation, the whole calibration process can be guaranteed to be automatic, accurate and efficient, and the problems of eye in hand calibration and eye to hand calibration in practical application are solved.

The invention discloses a cloud data joint debugging calibration method based on a machine learning algorithm, and belongs to the air monitoring technical field; a meshing air monitoring platform, a cloud server and an equipment management system are provided; the meshing air monitoring platform provides air pollutant and meteorology data gathered by meshing air quality monitoring micro-stations and national standard monitoring stations, and sends the gathered data to a Hbase database in the cloud server; the cloud server reads the air quality monitoring micro-station and national standard monitoring station gathered data in the Hbase database in the cloud server, carries out data consistency contrast, and determines whether the air quality monitoring micro station data is deviated or not;if yes, a data calibration model can calibrate the data and outputs calibrated parameters; the cloud server can send the calibrated parameters to the equipment management system via a communication unit, thus effectively solving the air quality monitoring micro station data deviation problems; the cloud automatic calibration can be realized, thus ensuring the monitoring data quality usability.

The method for wideband device measurement and modeling includes: measurement of an electronic device to obtain a set of time domain raw data representing characteristics of said device; conversion of said time domain raw data into frequency domain raw data; calibration and correction of embedded errors according to said frequency domain raw data to obtain clean frequency domain data representing characteristics of said device; conversion of said frequency domain data into time domain clean data; and establishment of equivalent model of said device according to said time domain data. The time domain raw data are obtained by applying to said device an ultra short impulse and measuring said impulse and its response from said device. Conversion between said time domain data and said frequency domain data may be Fourier transform.

The invention provides an automatic calibration system for a gas sensor. The automatic calibration system comprises a steel cylinder, a gas mass flow controller, a high- and low-temperature alternate experimental box, a sensor gas hood, a sensor data acquisition circuit and an industrial computer, wherein the steel cylinder, the gas mass flow controller and the sensor gas hood constitute an air distribution system; the industrial computer is connected with the high- and low-temperature alternate experimental box to produce different constant temperatures; the industrial computer is connected with the gas mass flow controller to generate set gas concentrations at different constant temperatures; and the industrial computer is connected with the sensor data acquisition circuit to acquire gas concentration response values of the gas sensor at different constant temperatures and transmit sensor calibration data to the gas sensor. The automatic calibration system has the advantages of scientific design, convenience for using, complete functions, automatic temperature control capability, automatic dynamic air distribution capability, automatic data acquisition capability, automatic data handling capability, high working efficiency and high reliability.

The present invention provides a method to calibrate an on-board remote sensing system using a self-locking travel pattern and target remote sensing data. The self-locking travel pattern includes a number of parallel travel lines having overlapping swath widths between adjacent travel lines. The overlapping swath widths are used to determine the boresight angles and range offset of the remote sensor device. In addition, the method can be used to generate estimated horizontal and vertical displacement errors. These estimated errors can be used as correction factors for the range offset and boresight angles.

A method for the nondestructive inspecting of coated or uncoated pipeline, using ultrasonic guided waves excited on the outer or inner pipe surface, wherein at least one or more transducers are individually or simultaneously excited to generate ultrasound, wherein multiple received signals with different focal spot positions are processed and combined to produce a reduced number of final waveforms that show defect axial positions in the pipe, wherein a data calibration scheme is utilized to adjust velocity variability for all the guided wave modes at different frequencies, and wherein the hardware arrangement has at least one pulser channel and one receiver channel for the collection and storage of signals.

A method and apparatus for calibrating a gyro-sensor, by which a gyro-sensor can be calibrated using data which is obtained by measuring an angular velocity and a gyro output value of a moving body equipped with the gyro-sensor. The method includes measuring an angular velocity of a moving body and an average output value of the gyro-sensor when the moving body, equipped with the gyro-sensor, rotates, obtaining data about a characteristic equation of the gyro sensor using the measured angular velocity and the average output value and storing the data, and calibrating the gyro-sensor using the stored data about the characteristic equation.

The invention relates to a panorama three-dimensional laser sensor data calibration method and apparatus. The apparatus includes a three-dimensional laser sensor and a calibration device. The method includes the following steps: firstly, dividing scan data of a two-dimensional laser sensor into two parts on average on the basis of the positive portion and the negative portion of a yL axis, then forming a laser scan plane, and forming two pieces of space three-dimensional point cloud data by the positive and negative laser data of the yL axis when a rotary holder drives the two-dimensional laser sensor to rotate 360 degrees; secondly, extracting laser data characteristic points needed by calibration from the two pieces of space three-dimensional point cloud data; and thirdly, optimizing distances among the laser points in the two pieces of space three-dimensional point cloud data, and then obtaining a calibration parameter. The problems of uncontrollable human errors and long time caused by hand-operated click matching are solved, factors that are likely to affect the data precision are fully considered, the calibration precision of the sensor is improved, and the universality of the calibration method is improved.