Abstract: Disclosed are a dry calibration device for calibrating fluorescent detectors and methods of making and using such a device to obtain accurate calibration of single site and multiplexed fluorescent detectors. The device comprises slides that use phosphorescent material with neural density filters to replicate varying fluorophore concentrations.

Abstract: A sensor for potential and/or impedance measurements on a body including at least one sensor connected to a master; the master including a power supply supplying a power signal transmitted to the at least one sensor; said at least one sensor including a first sensor fork sub-circuit configured to supply a positive current to a first circuit branch and a negative current to a second circuit branch; the at least one sensor further including a control circuit configured for controlling the positive and/or negative current in order to transmit an information signal to the master, and/or to control a first controlled signal to a first desired signal; and a second electrical connection connecting the at least one sensor to the master; the control circuit being further configured for harvesting energy from the alternating voltage supplied by the master to power the at least one sensor.

Abstract: The disclosure includes embodiments for improving quality of service for a vehicular plug-and-play ecosystem. A method according to some embodiments includes receiving environment data describing an environmental condition of a vehicle sensor. The method includes determining a quality of service value for the vehicle sensor based on the environment data. The method includes determining a corrected sensor measurement for the vehicle sensor based on the quality of service value. In some embodiments, the vehicle sensor includes a non-transitory memory that stores digital data that describes the environmental condition and the quality of service value for the vehicle sensor when it operates in the environmental condition. In some embodiments, the quality of service value is a factor that corrects the sensor measurement of the vehicle sensor when it operates in the environmental condition.

Abstract: The monitoring breathalyzer has an alcohol sensor, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC measurement. The sample time is determined based on a time to a predetermined calibration point from a drink start time.

Abstract: A calibration method of an optical coherence tomography (OCT) device and a camera using the same target includes irradiating a shape measurement light to a calibration target, obtaining a surface shape image thereof by detecting light reflected by a surface of the calibration target using a shape measurement camera, and calibrating the surface shape image according to an actual shape of the calibration target; obtaining surface and internal three-dimensional images of the calibration target by scanning with a layer measurement light using the OCT measurement unit, extracting a surface shape image of the calibration target from the three-dimensional images, and calibrating the surface shape image according to the actual surface shape of the calibration target; and matching a calibration image obtained by the shape measurement camera and a surface calibration image obtained by the OCT measurement unit to be displayed at the same spatial coordinates.

Abstract: A method for estimating correction angles in a radar sensor for motor vehicles, by which method a correction angle that considers a misalignment of the radar sensor is calculated by a statistical evaluation of positioning data that were recorded by the radar sensor. The positioning angle range of the radar sensor is subdivided into multiple sectors. The statistical evaluation of the positioning data for the different sectors is performed separately for the different sectors so that an individual correction angle is obtained for each sector.

Abstract: An AD converter includes a plurality of analog input terminals, a reference signal generation circuit that generates an analog reference signal, a sample-and-hold unit that includes a plurality of sample-and-hold circuits sampling the analog reference signal or one of analog input signals from the analog input terminals, a control unit that controls the sample-and-hold unit, and a conversion unit that converts an output signal from the sample-and-hold unit into a digital signal. The control unit controls the sample-and-hold unit to perform the output operation for analog input signal and the sampling operation for the analog reference signal.

Abstract: Methods and systems include a universal, device-agnostic calibration process in which measured indications output by a device under test (DUT) (or corrected or converted indications derived therefrom) may be compared with calibration thresholds for any type of DUT to be calibrated. A complete, universal, and extensible calibration process is thus achieved that is capable of accommodating routine and complex calibration scenarios alike. A common set of statistics may be generated for all devices to be calibrated, without regard to the particular device under test, and statistics of the common set of statistics may be evaluated to determine the calibration state of the DUT. Additionally, the methods and systems disclosed herein provide for generating a comprehensive set of measurement records that may include some or all original observations, calculations, corrections, conversions, environmental factors, and measurement results, e.g.

Abstract: A system and apparatus for identifying a position based on multiple inertial measurement units (IMU). An exemplary embodiment may include multiple IMUs fixed to a support surface which houses a control unit. The IMUs may be arranged in opposing pairs in order to identify and cancel out the bias or error of each individual IMU. The control unit may employ parallel processing and an AI system to calculate an accurate position based on measurement data from the IMUs.

Abstract: A computing device receives a setup command and signals mobile robots to move sensor targets into positions within a predetermined range of a turntable. Each mobile robot may be coupled to a sensor target. Once the sensor targets are moved into the positions, calibration may be initiated, in which a vehicle is rotated using the turntable, and sensors coupled to the vehicle are calibrated based on detection of the sensor targets. The computing device may signal the mobile robots to adjust the sensor targets as needed, or, after calibration, to move into storage or charging positions.

Abstract: A validation document while responding to a customer's demand is efficiently created. A server creates a first sample document upon receiving, from a terminal device, a request for creation of the first sample document including an inspection item targeted for a first device. The terminal device receives an operation of inputting the parameter value to the first sample document, and transmits the inputted parameter value to the server. The server creates a first validation document on the basis of the parameter value received from the terminal device and on the basis of the first sample document.

Abstract: A method of lidar imaging pulses a scene with laser pulse sequences from a laser light source. Reflected light from the scene is measured for each laser pulse to form a sequence of time resolved light signals. Adjoining time bins in the time resolved light signals are combined to form super time bins. A three dimensional image of the scene is created from distances determined based on maximum intensity super time bins. One or more objects are located within the image. For each object, the time resolved light signals are combined to form a single object time resolved light signal from which to determine distance to the object.

Abstract: An optical navigation device, comprising: an optical sensor, configured to sense optical data; and a processing circuit, configured to compute motions of the optical navigation device based on the optical data, and configured to output the motions, wherein a first CPI is set to the processing circuit. The processing circuit receives a calibration command to calibrate the first CPI to a second CPI, wherein the second CPI is computed via following steps: (a) computing a real CPI corresponding to times of motions output by the processing circuit during a time interval that a relative displacement between the optical navigation device and a surface reaches a first predetermined distance; (b) computing a ratio between the real CPI and the first CPI or a difference between the real CPI and the first CPI; and (c) generating the second CPI based on the ratio or the difference.

Abstract: At least one object is detected, via a sensor, in a direction of movement ahead of a host vehicle. A current sensor range is determined based on the detected at least one object. A maximum sensor range is determined based on the sensor. The current sensor range is compared with the maximum sensor range. Upon determining the current sensor range is less than the maximum sensor range by at least a predetermined threshold, driving parameters of the host vehicle are updated based on the current sensor range.

Abstract: Semiconductor devices are disclosed. A semiconductor device may include a number of impedance calibration circuits and an interpolation circuit. The interpolation circuit may be configured to generate a calibration code based on two or more other calibration codes generated via one or more impedance calibration circuits of the number of impedance calibration circuits, another interpolation circuit, or any combination thereof. Methods and systems are also disclosed.

Abstract: The present invention relates to a communication technique for converging IoT technology with a 5G communication system for supporting a higher data transmission rate beyond a 4G system, and a system therefor. The present disclosure may be applied to an intelligent service (for example, a smart home, a smart building, a smart city, a smart car or connected car, health care, digital education, retail business, a security and safety-related service, etc.) on the basis of 5G communication technology and IoT-related technology.

Abstract: A method for inertial sensor error modeling and compensation comprises obtaining multiple bias drift datasets for an elapsed time period for one or more gyroscopes; generating a 3D bias drift data plot using the multiple bias drift datasets; generating a partial bias drift data image based on the 3D bias drift data plot; and inputting the partial bias drift data image into a machine learning algorithm to predict how bias drift evolves over time for the gyroscopes. The machine learning algorithm uses the partial bias drift data image, the elapsed time period, and temperature history to compute a predicted bias over temperature with respect to time, to thereby predict bias drift data for a future time period for the gyroscopes. The machine learning algorithm outputs a completed bias drift image that represents drift data from the elapsed time period and the predicted bias drift data for the future time period.

Abstract: A method for automatically calibrating a rocker-type sensor module having a position or acceleration sensor involves measuring a position of the sensor module as an angle relative to a fixed spatial direction, and outputting an output signal that depends on whether the measured angle is less than or greater than a switching angle. The output signal is set to a first output value if the measured angle exceeds the switching angle. The switching angle is set to a value corresponding to the measured angle minus an “off” free pivot angle, as long as the value of the measured angle continues to increase. The output signal is set to a second output value if the measured angle falls below the switching angle. The switching angle is set to a value corresponding to the measured angle plus an “on” free pivot angle, as long as the value of the measured angle continues to fall.

Abstract: A method may include receiving, by a calibration circuit, an output of a subsystem comprising the sensor and the analog front end. The method may further include separating the output individually into the sensor offset and the amplifier offset by using inherent properties of separate frequency ranges for the sensor offset and the amplifier offset. The method may also include calibrating, by the calibration circuit, the sensor offset by determining a first calibration value for the sensor offset such that the output approximates zero during an idle-channel condition. The method may additionally include calibrating, by the calibration circuit, the amplifier offset by determining a second calibration value for the amplifier offset such that the output approximates zero during the idle-channel condition.

Abstract: Provided is an extension module for independently storing calibration data, including: a first interface, adapted to receive a first external input signal; a second interface, adapted to output the first output signal of the extension module; a signal processing circuit, connected between the first interface and the second interface; and a first memory, the first memory storing first calibration data, and the first calibration data being associated with the extension module. Furthermore, also provided is a component using the above extension module, and a component calibration method. On the one hand, the extension module of an embodiment may share an ADC sampling circuit on a main module, so that the manufacturing cost of the extension module is reduced. On the other hand, an embodiment can facilitate the replacement of different extension modules for the main module without repeated calibration.

Abstract: An autonomous mobile device (AMD) uses sensors to explore a physical space and determine the locations of obstacles. Simultaneous localization and mapping (SLAM) techniques are used to process images from cameras to determine location and trajectory of the device. As the AMD moves and explores to generate an occupancy map, errors in the localization accrue. The occupancy map is processed to determine a graph that is based on, for a given point in physical space, a distance, relative direction, and a characteristic of a closest obstacle. A first graph based on a global occupancy map may be compared to a second graph based on a local occupancy map to determine a displacement between the local occupancy map and the global occupancy map. To facilitate loop closure, the AMD may navigate to a point along the first graph, where a loop closure process may be performed.

Abstract: A method and system for processing signals from a plurality of groups of sensors are described. Each group includes a first sensor and at least one additional sensor. A first sensor identifier and first sensor data are received from the first sensor. At least one additional sensor identifier and additional sensor data are also received from the additional sensor(s). The first sensor and the additional sensor(s) of each group are co-located. The first sensor identifier is associated with the additional sensor identifier(s) for each group. Calibration information for the first sensor is obtained based on the first sensor identifier and the additional sensor identifier(s). The calibration information is specific to the first sensor having the first sensor identifier. Corrected first sensor data for each of the groups is provided based on the first sensor data, the additional sensor data and the calibration information.

Abstract: The monitoring breathalyzer has an alcohol sensor, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC measurement. The sample time is determined based on a time to a predetermined calibration point from a drink start time.

Abstract: With the advent of augmented reality devices becoming increasingly prevalent, accessible, and cross-compatible, there is an opportunity to leverage the capabilities of such devices in order to streamline workflow and information access in number of contexts. The present invention provides an integrated, dynamic system for leveraging the capabilities of augmented reality systems in order to provide users with personalized information in a dependable, seamless, and secure manner.

Abstract: A method of processing a number of force values is described. Each force value corresponds to a sensor location. The sensor locations are spaced apart along a direction. The method includes receiving the force values (S11). The method also includes determining whether the force values include one or more candidate peaks (S12). Each candidate peak corresponds to a local maximum of the force values. The method also includes, in response to at least one candidate peak exceeds a minimum force threshold (S13), interpolating the force values and estimating a number of peak coordinates and corresponding peak force values based on the interpolated force values and the candidate peaks (S14) which exceed the minimum force threshold.

Abstract: A mobile robotic device has a motion sensor assembly configured to provide data for deriving a navigation solution for the mobile robotic device. The mobile robotic device temperature is determined for at least two different epochs so that an accumulated heading error of the navigation solution can be estimated based on the determined temperature at the at least two different epochs. A calibration procedure is then performed for at least one sensor of the motion sensor assembly when the estimated accumulated heading error is outside a desired range.

Abstract: A method for monitoring a circuit breaker includes measuring at least two operating condition related parameters of the circuit breaker during operation of the circuit breaker; obtaining first data representing a vector having at least two components respectively representing the at least two measurements of the at least two parameters; judging location of the vector represented by the obtained data with respect to a vector space having an envelope separating healthy and unhealthy status of the circuit breaker, where the envelope has at least one portion of curvature; and generating a signal indicating the health status of the circuit breaker in consideration of the location of the vector if it is outside of the envelope.

Abstract: Introduced here are computer programs and associated computer-implemented techniques for determining reflectance of an image on a per-pixel basis. More specifically, a characterization module can initially acquire a first data set generated by a multi-channel light source and a second data set generated by a multi-channel image sensor. The first data set may specify the illuminance of each color channel of the multi-channel light source (which is configured to produce a flash), while the second data set may specify the response of each sensor channel of the multi-channel image sensor (which is configured to capture an image in conjunction with the flash). Thus, the characterization module may determine reflectance based on illuminance and sensor response. The characterization module may also be configured to determine illuminance based on reflectance and sensor response, or determine sensor response based on illuminance and reflectance.

Abstract: A method includes determining that a portion of a force applied to a sensor system was applied to a non-inclusive region of the sensor system. An activation area of the non-inclusive region may be determined. A force distribution of the non-inclusive region may be determined. A corresponding force measurement of the non-inclusive region based on the activation area and the force distribution may be calculated.

Abstract: A platform system receives sensor data describing the state and orientation of a tracked object and models the pose of the tracked object to determine user interactions with the platform system. To ensure that incorrect sensor data due to a saturation event or connection loss does not impact user experience, the platform system identifies regions for correction in sensor data streams based on the sensor data being at or above a saturation limit or not being received. The platform system predicts sensor data for an identified region of correction by applying a fit corresponding to points adjacent to the region for correction and determining predicted sensor data using the applied fit. The predicted sensor data is used to correct the modeled pose for the tracked object.

Abstract: A vehicle driving control apparatus for controlling driving of a vehicle based on information received from a plurality of sensors, and a calibration method performed thereby is provided. The vehicle driving control apparatus includes at least one processor configured to determine a driving route to include a predetermined area of road, upon determining that calibration of a first sensor is required, and a memory configured to store values measured by the plurality of sensors while the vehicle is being driven along the driving route, wherein the at least one processor is further configured to calibrate the first sensor based on the stored measured values and information about the predetermined area of road.

Abstract: An optical navigation device, comprising: an optical sensor, configured to sense optical data; and a processing circuit, configured to compute motions of the optical navigation device based on the optical data, and configured to output the motions, wherein a first CPI is set to the processing circuit. The processing circuit receives a calibration command to calibrate the first CPI to a second CPI, wherein the second CPI is computed via following steps: (a) computing a real CPI corresponding to times of motions output by the processing circuit during a time interval that a relative displacement between the optical navigation device and a surface reaches a first predetermined distance; (b) computing a ratio between the real CPI and the first CPI or a difference between the real CPI and the first CPI; and (c) generating the second CPI based on the ratio or the difference.

Abstract: An unmanned aerial vehicle includes one or more magnetometers, configured to detect a magnetic field and to output magnetometer data corresponding to a magnitude of the detected magnetic field; a position sensor, configured to detect a position of the unmanned aerial vehicle relative to one or more reference points, and to output position sensor data representing the detected position; one or more processors, configured to control the unmanned aerial vehicle to rotate about its z-axis; receive magnetometer data comprising a plurality of z-axis directional measurements taken during the rotation about the z-axis; receive position sensor data and determine from at least the position sensor data a magnetic field inclination of the detected position; and determine a z-axis magnetometer correction value as a difference between the received magnetometer data for the z-axis and the determined magnetic field inclination.

Abstract: Systems and methods for calibrating VNA modules which dynamically assigns match utilization to improve overall calibration accuracy and reduce problems from a non-optimal set of calibration components and simplify user input requirements during calibration.

Abstract: A method and system for heterogeneous event detection. Sensor data is obtained and divided into discrete data windows. Each data window is defined by and corresponds to a time period of the sensor data. A time-frequency representation over the time period is calculated for each data window. A filter mask is calculated based on the data window corresponding to the time-frequency representation. The filter mask is applied for reverting the time-frequency representation to a time representation, resulting in filtered data. Features, such as extrema or other inflection points, are identified in the filtered data. The features define events, and transforming the time-frequency representation back into the time domain emphasizes differences between more and less prominent frequencies, facilitating identification of heterogeneous events. The method and system may be applied to body movements of people or animals, automaton movement, audio signals, light intensity, or any suitable time-dependent variable.

Abstract: An organic solvent containing liquid that does not include a component to be detected by a detector is used as a first solvent, and an organic solvent containing liquid that includes the component to be detected and is adjusted to have a concentration of an organic solvent that prevents a separation column from actually holding the component to be detected is used a second solvent. Further, a mobile phase is sent while a setting value of a concentration of the second solvent in the mobile phase is changed over time with the separation column provided on an analysis flow path, and an actual concentration of the second solvent in the mobile phase is found based on a detection signal of the detector when the mobile phase is sent at each setting value.

Abstract: The present technology relates to an information processing apparatus and an information processing method that make it possible to properly report the reliability of information that is available with use of an inertial sensor. The information processing apparatus includes a state estimation section that estimates a state of a predetermined object and an output controller that controls, on the basis of the estimated state of the object, output of reliability information indicating the reliability of object information of the object, the object information of the object being available with use of an inertial sensor. The present technology is applicable to a portable information terminal such as a smartphone or a wearable device, for example.

Abstract: A method for aligning a calibration device for calibrating a vehicle environmental sensor of a vehicle, and a device for carrying out such a method. The method includes: measuring a temporal curve of at least one measurement point using the camera, determining the geometrical driving axis from the temporal curve of the at least one measurement point, measuring a first and a second lateral distance value of the vehicle using the distance sensors at a measurement time, determining a center of a vehicle axle at the measurement time on the basis of the ascertained lateral distance values, correlating the geometrical driving axis to the center of the vehicle axle at the measurement time and determining an axially centric geometrical driving axis, and aligning the calibration device in correspondence to the ascertained axially centric geometrical driving axis.

Abstract: The subject disclosure provides for a method of optical sensor calibration implemented with neural networks through machine learning to make real-time optical fluid answer product prediction adapt to optical signal variation of synthetic and actual sensor inputs integrated from multiple sources. Downhole real-time fluid analysis can be performed by monitoring the quality of the prediction with each type of input and determining which type of input generalizes better. The processor can bypass the less robust routine and deploy the more robust routine for remainder of the data prediction. Operational sensor data can be incorporated from a particular optical tool over multiple field jobs into an updated calibration when target fluid sample compositions and properties become available.

Abstract: A system and method for determining if a field calibration of a subject sensor associated with a vehicle is warranted, and calibrating the subject sensor using a sensor associated with another vehicle when calibration is warranted. Reference vehicles may perform predetermined maneuvers in order to provide additional measurements for use during calibration.

Abstract: Range and orientation of a transmitter and a receiver are found by detecting the magnetoquasistatic field couplings between coils at the transmitter and receiver. Sum functions and ratio functions are calculated for each of the unique magnetoquasistatic field couplings between the transmitter and the receiver. The sum and ratio functions are inverted to determine the drift-free range and orientation. Linear and angular velocity and acceleration are calculated by applying a filter to reduce noise, and then taking the corresponding derivatives.

Abstract: A mounting direction determination device and a mounting direction determination method of an acceleration sensor which can automatically determine the direction of the acceleration sensor mounted on a vehicle. The mounting direction determination device determines a mounting direction, relative to a vehicle, of the acceleration sensor that is capable of detecting a first acceleration in a first direction and a second acceleration in a second direction. A mounting direction determination unit determines the mounting direction by comparing values actually measured by the acceleration sensor with determination reference data. The determination reference data specifies a combination of the detection results of the first acceleration and the second acceleration and the mounting directions.

Abstract: The invention relates to a method for producing a customer-specific sensor on the basis of a standard sensor using a sensor development package, the sensor development package comprising at least the standard sensor and a customization unit, and the method for producing the customer-specific sensor having at least the following steps: customizing the customization unit to an application designated by a customer; introducing the sensor development package into the designated application of the customer so that the customer can test the sensor development package in the application; testing the sensor development package introduced into the designated application, by the customer; and producing the customer-specific sensor.

Abstract: A method for initializing an inertial measurement unit (IMU). The IMU is associated with an accelerometer frame. The accelerometer frame corresponds to an inertial frame. The method includes generating variations in rows of a gravity disturbance matrix of the IMU by rotating the IMU about a rotation axis and estimating an optimal transformation matrix from the accelerometer frame to the inertial frame by minimizing the variations of the rows of the gravity disturbance matrix. The rotation axis passes through a center of the accelerometer frame. A column of the gravity disturbance matrix includes a gravity disturbance vector at an initialization moment of an initialization time. The gravity disturbance vector is associated with a gravity vector of Earth.

Abstract: A failure diagnosis system includes a sensor that is provided in each of a plurality of diagnosis target devices and detects diagnosis target information of a corresponding diagnosis target device and a processing unit that is provided with respect to one or the plurality of diagnosis target devices and processes the diagnosis target information detected by the sensor. The processing unit is capable of executing a first processing mode and a second processing mode in which processing different from the first processing mode is performed, and processes the diagnosis target information in a selected processing mode.

Abstract: A calibration arrangement of a magnetic field measurement device includes at least one attachment point nub configured for attachment to the magnetic field measurement device; mounting arms extending from the at least one attachment point nub; and reference coil loops distributed among the mounting arms. A magnetic field measurement system includes the calibration arrangement and a magnetic field measurement device including a sensor mounting body, magnetic field sensors disposed on or within the sensor mounting body, and at least one primary attachment point formed in or on the sensor mounting body configured to receive the at least one attachment point nub of the calibration arrangement.

Abstract: Systems and methods for selectively distributing programs to remote devices are described. In some implementations, one or more computers access candidate profile for a candidate to participate in interactive programs involving collection of data from participants using remote devices. The one or more computers also identify program profiles for multiple programs in which the candidate is eligible to enroll as a participant. Scores are determined for each of the programs with respect to the candidate, and one or more of the programs are selected for the candidate based on the scores. Selection results are provided over the communication network to a client device, the selection results being provided for presentation by the client device to indicate the selected one or more programs on an interface of the client device.

Abstract: A foreign substance detection device includes a flow path unit through which a fluid is flown; an optical system configured to flatten a laser light from a laser source to be lengthened in a direction intersecting with a flow direction of the fluid; a laser light irradiation unit provided such that an optical path intersects with the flow direction and configured to irradiate the laser light into the flow path unit; a light detection unit which is provided on the optical path having passed through the flow path unit and includes light receiving elements arranged in a lengthwise direction of a transversal cross section of the optical path; a foreign substance detection unit configured to compare a signal level corresponding to intensity of light received by each light receiving element with a threshold value and configured to detect the foreign substance based on a comparison result.

Abstract: A method of calibrating a contact probe having a deflectable stylus and configured to provide at least one signal which is indicative of the extent of deflection of the stylus, the contact probe being mounted on a coordinate positioning machine which facilitates reorientation of the contact probe about at least one axis. The method includes: taking measurement data obtained with the contact probe positioned at a plurality of different orientations about the at least one axis; and determining from the measurement data at least one gain variation model which models any apparent variation in the gain of the at least one probe signal dependent on the orientation of the contact probe about the at least one axis.

Abstract: Electrochemical Impedance Spectroscopy (EIS) is used in conjunction with continuous glucose monitors and continuous glucose monitoring (CGM) to enable in-vivo sensor calibration, gross (sensor) failure analysis, and intelligent sensor diagnostics and fault detection. An equivalent circuit model is defined, and circuit elements are used to characterize sensor behavior.