657 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.

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.

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.

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 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.

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 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 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.

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.