Abstract: Vertical center of mass movement measuring apparatus comprising an inertial sensing device, for producing outputs relating to rotation and acceleration in its local frame of reference and configured for fastening to the back of an animal, preferably a person, a memory and a processor, wherein the processor is programmed to provide a quaternion corresponding to the rotation of the inertial sensing device and a first acceleration, both based on an output of the rotation sensing device, and the processor is programmed to combine the quaternion and the first acceleration and based on the result of the combination to provide, when the device is fastened close enough to the center of mass of a moving object such as a person, an estimate of vertical displacement, or a derivative of vertical displacement, of the center of mass in a global reference frame.

Abstract: A device designed for the three-dimensional geometrical detection of an environment includes at least one inertial measurement system for provisionally calculating a trajectory of the detection device. The device is calibrated by steps of: (a) positioning and/or orienting the detection device in a position and/or orientation with respect to at least one reference point characterized by at least one predefined relative coordinate, or determining at least one relative coordinate which characterizes the position and/or the orientation of the detection device relative to at least one reference point; (b) determining at least one error variable which characterizes the deviation of the relative coordinate in accordance with step (a) from the relative coordinate(s) provisionally calculated by the inertial measurement system; and (c) if the error variable fulfills a predefined correction criterion, correcting the provisional trajectory.

Abstract: An inertial sensing system comprises a first multi-axis atomic inertial sensor, a second multi-axis atomic inertial sensor, and an optical multiplexer optically coupled to the first and second multi-axis atomic inertial sensors. The optical multiplexer is configured to sequentially direct light along different axes of the first and second multi-axis atomic inertial sensors. A plurality of micro-electrical-mechanical systems (MEMS) inertial sensors is in operative communication with the first and second multi-axis atomic inertial sensors. Output signals from the first and second multi-axis atomic inertial sensors aid in correcting errors produced by the MEMS inertial sensors by sequentially updating output signals from the MEMS inertial sensors.

Abstract: A sensor calibration system for a mobile machine is disclosed. The sensor calibration system may have a first machine mounted sensor disposed on the mobile machine and configured to sense a characteristic of an offboard object and to generate a corresponding signal, and a second machine mounted sensor disposed on the mobile machine and configured to sense the characteristic of the offboard object and to generate a corresponding signal. The sensor calibration system may also have a controller in communication with the first and second machine mounted sensors. The controller may be configured to compare the characteristic of the offboard object as sensed by the first machine mounted sensor to the characteristic of the offboard object as sensed by the second machine mounted sensor, and to correct subsequent signals received from the first machine mounted sensor based on the comparison.

Abstract: Sensors (1) for sensing accelerations are provided with accelerometers (11) for measuring accelerations, with magnetometers (12) for measuring magnetic fields, and with processors (13) for, in response to acceleration measurements and magnetic field measurements, judging the accelerations. The processors (13) may comprise acceleration units (14) for comparing acceleration signals with acceleration thresholds, and magnetic field units (15) for comparing changes of magnetic field signals per time interval with rate thresholds. The processors (13) may further comprise decision units (17) for, in response to comparison results from the acceleration units (14) and the magnetic field units (15), deciding whether a total acceleration forms part of a tumbling free-fall or a non-tumbling free-fall or not. The processors (13) may yet further comprise distinguishing units (18) and control units (19). Devices (2) may comprise sensors (1).

Abstract: This disclosure relates to apparatuses and methods for reducing current leakage between a measure electrode and a logging tool body during borehole investigations in an earth formation involving electric current and non-conductive drilling fluid. The apparatus may include one or more transmitters disposed on a pad body, configured to inject an electric current into the earth formation, and coupled to the mandrel and one or more measure electrodes. The measure electrodes may be configured to receive current from the formation and coupled to a back plate of the pad body. The apparatus may be configured to maintain a selected ratio between pad body to logging tool body impedance and transmitters to logging tool body impedance sufficient to reduce current leakage between the earth formation and the logging tool body. The transmitter/mandrel and measure electrode/back plate may be electrically isolated from one another. The method may include using the apparatus.

Abstract: Embodiments of systems for calibrating transducer-including devices include a board support structure, one or more motors, a motor control module, and a calibration control module. The board support structure holds a calibration board in a fixed position with respect to the board support structure. The motor(s) rotate the board support structure around one or more axes of a fixed coordinate system. The motor control module sends motor control signals to the motor(s) to cause the motor(s) to move the board support structure through a series of orientations with respect to the fixed coordinate system. The calibration control module sends, through a communication structure, signals to the transducer-including devices, which are loaded into a plurality of sockets of the calibration board. The signals cause the transducer-including devices to generate transducer data while the board support structure is in or moving toward each orientation of the series of orientations.

Abstract: Described are embodiments to ensure that the equipment utilized to detect antigens is reliable and accurate. If it is determined that a read sensor is degraded a method of calibrating a read sensor of a read head is described. In one embodiment, a method of calibrating a magnetic read sensor includes measuring a first resistance of the magnetic read sensor upon an application of a forward bias current to the magnetic read sensor and measuring a second resistance of the magnetic read sensor upon an application of a reverse bias current to the magnetic read sensor. A calibration constant is determined based on at least the first measured resistance and the second measured resistance. In one embodiment the method further includes storing the determined calibration constant for the magnetic read sensor in memory. Further, in one embodiment the head module having the magnetic read sensor is swept over at least one nanoparticle to obtain a read response of the magnetic read sensor to the nanoparticle.

Abstract: A calibration curve creation method is capable of performing accurate measurement from a piece of observation data. The calibration curve creation method includes (a) acquiring observation data regarding a plurality of samples of a subject, (b) acquiring the content of a target component in each sample, (c) estimating a plurality of independent components at the time of separation into a plurality of independent components of each sample and calculating a mixing coefficient corresponding to the target component for each sample, and (d) calculating the regression equation of the calibration curve. The process (c) includes a step of calculating an independent component matrix by executing first pre-processing including correcting the observation data, second pre-processing including whitening, and independent component analysis processing in this order. A process suitable for the observation data is selected from a plurality of processes, and is used as the first pre-processing and the second pre-processing.

Abstract: A system and method is disclosed that provides a technique for generating an accurate time base for MEMS sensors and actuators which has a vibrating MEMS structure. The accurate clock is generated from the MEMS oscillations and converted to the usable range by means of a frequency translation circuit.

Abstract: Embodiments of the invention relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for facilitating health and wellness-related information. More specifically, disclosed are systems, methods, devices, computer readable medium, and apparatuses configured to determine activity and activity types, including gestures, from sensed motion signals using, for example, a wearable device (or carried device) and one or more motion sensors. In at least one embodiment, a method includes receiving data representing a motion sensor signal and determining whether the wearable device is in a still state. The method also can include calibrating the motion sensor signal in-situ to form a calibrated motion signal, generating intermediate motion signals based on the calibrated motion sensor signal, and identifying an activity based on the intermediate motion signals.

Abstract: Example embodiments are directed to light sensing circuits having a relatively simpler structure by using light-sensitive oxide semiconductor transistors as light sensing devices, and remote optical touch panels and image acquisition apparatuses, each including the light sensing circuits. The light sensing circuit includes a light-sensitive oxide semiconductor transistor in each pixel, wherein the light-sensitive oxide semiconductor transistor is configured as a light sensing device, and a driving circuit that outputs data. The light sensing circuit may have a relatively simple circuit structure including a plurality of transistors in one pixel. As a result, the structure and operation of the light sensing circuit may be simplified.

Abstract: A method including switching hardware into a pre-calibration mode; and using the hardware to selectively pre-store measured data for calibration.

Abstract: Example apparatus and methods concern automated testing of a capacitive touch interface (e.g., touch screen). One example apparatus includes probes that extend and retract from the apparatus under programmatic control. The probes produce a capacitive touch response on a capacitive touch interface. The example apparatus includes logics configured to control touch testing of the interface using the probes. A first logic may provide a closed loop vision system for controlling the position of the interface relative to the apparatus. A second logic may calibrate a co-ordinate system associated with the apparatus and a co-ordinate system associated with the interface so that the apparatus may function in the pixel space of the interface being tested. A third logic may control the probes to test the interface by producing a series of touches, multi-touches, or gestures on the interface.

Abstract: A wafer is moved under an inspection spot by a rotary inspection system. The system rotates the wafer about an axis of rotation and translates the wafer along a linear trajectory. When the inspection spot is not aligned with the trajectory of the axis of rotation, an angular error is introduced in the representation of the position of the inspection spot with respect to the wafer by the rotary encoder. The angular error is corrected based on an angular error correction value. The angular error correction value is determined based on the distance between the inspection spot and the trajectory of the axis of rotation, the radial distance between the axis of rotation and the inspection spot at a first instance of a particular angular position, and a second radial distance between the axis of rotation and the inspection location at a second instance of the angular position.

Abstract: A method for calibrating an accelerometer of an electronic device to reduce an error of the accelerometer includes estimating a gravity vector using the accelerometer and a magnetic field vector using a magnetometer at a plurality of times. The method also includes calculating a characteristic that is a function of an angle between the estimated gravity vector and the estimated magnetic field at each of the plurality of times. Additionally, the method includes calculating a figure of merit over the plurality of times that is a function of the characteristic. The method includes dynamically adjusting a calibration parameter of the accelerometer during ordinary use of the electronic device such that the figure of merit is minimized. Adjusting the calibration parameter reduces the error of the accelerometer. A system can include a accelerometer, a magnetometer, a processor, and a memory having instructions to execute the calibration method on the processor.

Abstract: The present invention includes a body case having a biological sample sensor mounting portion on one end side, a temperature sensor (A) provided on the one end side inside the body case, a measurement portion connected to the biological sample sensor mounting portion, and a control portion connected to the measurement portion. A temperature sensor (B) is provided on one other end side inside the body case, and when measurement is performed by the measurement portion, temperature change amounts in the two end portions are compared using the temperature sensors (A) and (B).

Abstract: A distributed sensor system includes a set of spatially distributed base units and a central server both in communication with a data network. Each base unit includes a controller and one or more sensor modules where each sensor module includes a sensor configured to measure an air quality parameter. Each base unit transmits raw sensor data associated with each of the sensor modules over the data network and the central server receives the raw sensor data from the base units and stores the raw sensor data in a database.

Abstract: A portable medical monitor system generates a current calibration curve for generating the estimate of the level of an analyte, such as glucose, being monitored. The current calibration curve is based on at least two measured data values of the level being monitored. The system determines a transformation function based on the calibration curve and at least one preceding calibration curve such that the transformation function produces a predictive calibration curve, and generates an estimated level value of the level being monitored, based on sensor output from a sensor associated with the portable medical monitor system, in accordance with the predictive calibration curve.

Abstract: Systems and methods for processing sensor data and calibration of the sensors are provided. In some embodiments, the method for calibrating at least one sensor data point from an analyte sensor comprises receiving a priori calibration distribution information; receiving one or more real-time inputs that may influence calibration of the analyte sensor; forming a posteriori calibration distribution information based on the one or more real-time inputs; and converting, in real-time, at least one sensor data point calibrated sensor data based on the a posteriori calibration distribution information.

Abstract: A computing device, system, apparatus, and at least one machine readable medium for dynamically calibrating a magnetic sensor are described herein. The computing device includes a sensor hub and a magnetic sensor communicably coupled to the sensor hub. The magnetic sensor is configured to collect sensor data corresponding to the computing device. The computing device also includes a processor that is configured to execute stored instructions and a storage device that stores instructions. The storage device includes processor executable code that, when executed by the processor, is configured to determine a system state of the computing device and send the determined system state of the computing device to the sensor hub. The sensor hub is configured to dynamically calibrate the magnetic sensor based on the sensor data collected via the magnetic sensor and the determined system state of the computing device.

Abstract: An exemplary embodiment of the present invention provides systems and methods of compensating sensor drift. In one example embodiment, a system may comprise a primary sensor having a primary full-scale range and configured to output a primary environmental condition signal indicative of an environmental condition; a reference sensor having a reference full-scale range and configured to output a reference environmental condition signal indicative of the environmental condition, wherein the reference full-scale range is less than the primary full-scale range; and a drift compensation system configured to determine a drift compensation signal using the primary environmental signal and the reference environmental condition signal responsive to the reference environmental conditional signal being in the reference full-scale range and compensate the primary environmental condition signal using the drift compensation signal.

Abstract: Methods of calibrating sensors in a distributed sensor system including a set of spatially distributed base units in communication with a central server over a data network include using a reference sensor, using a reference base unit, using crowd-sourced calibration, using sensor data collected in the same base unit, using sensor cross-sensitivity, or using sensor data from known environmental conditions.

Abstract: Water droplets in exhaust gas that is, or was, analyzed by a remote emissions sensing system are detected. The detection may be made using measurements generally captured by the remote emissions sensing system during typical operation. As such, the detection may be applied “on site” as remote emissions sensing analysis is ongoing, or may be applied post hoc from data previously acquired by a remote emissions sensing system. The detection may be implemented without requiring additional sensors, more sophisticated sensors, and/or other additional or more sophisticated equipment being included in the remote emissions sensing system.

Abstract: A method of calculating sensor modelling coefficients includes determining a preliminary coefficient value for a first sensor modelling coefficient, calculating a coefficient value for a further sensor modelling coefficient using the preliminary coefficient value for the first sensor modelling coefficient and a data measurement value, and calculating a refined coefficient value for the first sensor modelling coefficient using the calculated coefficient value for the further sensor modelling coefficient and the data measurement value.

Abstract: Methods and calibrations modules are provided, for calibrating a pupil center in scatterometry overlay measurements. The calibration comprises calculating fluctuations from a first statistical figure of merit such as an average of an overlay signal per pixel at the pupil and significantly reducing, for example minimizing, the fluctuations with respect to a second statistical figure of merit thereof, such as a pupil weighted variance of the fluctuations.

Abstract: A system and method for determining measurement results of a dark-field inspection apparatus up to a microscopic area. A dark-field inspection apparatus is calibrated using a reference wafer having microroughness of an irregular asperity pattern accurately formed on a surface, and the microroughness of the surface having an ensured microroughness degree. This microroughness is measured by using an AFM, and an expected haze value is obtained based on the measured value. Then, haze of the surface of the reference wafer is measured by the dark-field inspection apparatus to be inspected to obtain an actually-measured haze value, and a difference between the expected haze value and the actually-measured haze value is obtained. Based on this difference, a haze measurement parameter of the dark-field inspection apparatus is adjusted so that the actually-measured haze value and the expected haze value match each other.

Abstract: Optical metrology is used to calibrate the plane-of-incidence (POI) azimuth error by determining and correcting an azimuth angle offset. The azimuth angle offset may be determined by measuring at least a partial Mueller matrix from a calibration grating on a sample held on a stage for a plurality of POI azimuth angles. An axis of symmetry is determined for a curve describing a value of a Mueller matrix element with respect to POI azimuth angle, for each desired wavelength and each desired Mueller matrix element. The axis of symmetry may then be used to determine the azimuth angle offset, e.g., by determining a mean, median or average of all, or a filtered subset, of the axes of symmetry. If desired, an axis of symmetry may be determined for data sets other than Mueller matrix elements, such as Fourier coefficients of measured signals.

Abstract: A fluorescence intensity calculating apparatus, includes: a measuring section configured to receive fluorescences generated from plural fluorescent dyes excited by radiating a light to a microparticle multiply-labeled with the plural fluorescent dyes having fluorescence wavelength bands overlapping one another by photodetectors which correspond to different received light wavelength bands, respectively, and whose number is larger than the number of fluorescent dyes, and obtain measured spectra by collecting detected values from the photodetectors; and a calculating section configured to approximate the measured spectra based on a linear sum of single-dyeing spectra obtained from the microparticle individually labeled with the fluorescent dyes, thereby calculating intensities of the fluorescences generated from the fluorescent dyes, respectively.

Abstract: A metrology unit includes an integrated reference target with which an automated system check process is performed. The automated system check process includes measuring a feature on the reference target and determining if the measurement is within a desired specification for the metrology unit. When the metrology unit fails the automated system check, or if otherwise warranted, an automated diagnosis process may be performed using the same integrated reference target. The automated system check and automated diagnosis may be optimized based on correlations between parameters of the automated qualification and parameters of the automated diagnosis. Similarly, the measurement of a processed wafer may be optimized based on a correlation between parameters of the metrology of the processed wafer and parameters of the automated system check.

Abstract: In general, the invention relates to an algorithm and process for automated and/or continuous calibration of magnetic sensor, for example such as a sensor installed in a mobile positioning system handset. According to certain aspects, the calibration process can use the normal motion of the handset such that all measurement data from the three orthogonal axes of sensor when exposed to Earth's magnetic field is collected. According to still further aspects, the process includes fitting measurement data to an ellipsoid that characterizes the actual magnetic field measurements from a magnetic sensor, so that anomalies such as hard iron effect, soft iron effect and scale factors can be extracted and/or corrected by comparison to a sphere represented by magnetic field data from a model at the sensor's location.

Abstract: A real-time calibration system and method for a mobile device having an onboard magnetometer uses an estimator to estimate magnetometer calibration parameters and a magnetic field external to the mobile device (e.g., the earth magnetic field). The calibration parameters can be used to calibrate uncalibrated magnetometer readings output from the onboard magnetometer. The external magnetic field can be modeled as a weighted combination of a past estimate of the external magnetic field and the asymptotic mean of that magnetic field, perturbed by a random noise (e.g., Gaussian random noise). The weight can be adjusted based on a measure of the statistical uncertainty of the estimated calibration parameters and the estimated external magnetic field. The asymptotic mean of the external magnetic field can be modeled as a time average of the estimated external magnetic field.

Abstract: A method of determining auto-calibrating information of a test sensor includes providing an optical read head that includes a light source, a light guide and a detector. The read head forms an opening that is sized to receive a test sensor. The detector includes a linear-detector array or single detector. A test sensor is provided having apertures formed therein. The test sensor is placed in the opening of the optical read head. Light is transmitted from the light source through the apertures. The light transmitted through the apertures using the detector or detecting the absence of light being transmitted through the test sensor using the detector is detected. The detected light or the absence of detected light information from the detector is used to determine the auto-calibration information of the test sensor.

Abstract: Disclosed herein are techniques for determining a most relevant data measurement from among competing data points. Particular embodiments call for an evaluation engine to receive as input from an underlying database, a plurality of competing data points together with meta-data reflecting a provenance of those data points. The evaluation engine is configured to apply a precedence rule set to the input, and produce an output comprising a most relevant data measurement. Via application of the precedence rule set, the evaluation engine may consider expected reliability of the source of the data measurement. The precedence rule set may also reflect other factors, such as a number of alternative sources for the measurement, a freshness of the measurement, and/or a possibility of combining (e.g. averaging) a plurality of otherwise equally situated measurements. An example evaluates the statistics of pro football prospects (e.g. foot speed) available from different sources (e.g. scouting reports).

Abstract: In a method for calibrating a portable first electronic device (1) comprising a first chemical sensor, a determination is carried out whether the first electronic device is located near a second electronic device comprising a second chemical sensor. If this is the case and if optionally other criteria are fulfilled, readings of the first and second chemical sensor are compared. Subject to the comparison, calibration values for the first chemical sensor are derived.

Abstract: A method for calibrating a triaxial magnetic field sensor includes steps for determining an offset of recorded measured values of the magnetic field sensor using a superposed signal and for determining the sensitivity of the magnetic field sensor along the first measuring axes. The determination of the sensitivity includes steps for determining the sensitivity of the magnetic field sensor along a first measuring axis and for determining the sensitivity of the magnetic field sensor along the other measuring axes based on the sensitivity of the first measuring axis and the determined offset.

Abstract: A system and method automatically calibrate a posture sensor, such as by detecting a walking state or a posture change. For example, a three-axis accelerometer can be used to detect a patient's activity or posture. This information can be used to automatically calibrate subsequent posture or acceleration data.

Abstract: One embodiment of the invention includes an accelerometer sensor system. The system includes a sensor comprising a proofmass and electrodes and being configured to generate acceleration feedback signals based on control signals applied to the electrodes in response to an input acceleration. The system also includes an acceleration component configured to measure the input acceleration based on the acceleration feedback signals. The system further includes an acceleration controller configured to generate the control signals to define a first scale-factor range associated with the sensor and to define a second scale-factor range associated with the sensor. The control system includes a calibration component configured to calibrate the accelerometer sensor system with respect to range-dependent bias error based on a difference between the measured input acceleration at each of the first scale-factor range and the second scale-factor range.

Abstract: An X-ray data processing apparatus for processing X-ray data that is obtained by simultaneously measuring X-rays of multiple wavelengths. The apparatus includes a management unit 210 to receive and manage X-ray data that is detected by a detector, a calculation unit 230 which calculates a detection amount of charge sharing events in lower energy side data caused by higher energy X-ray, based on the higher energy side data obtained using a threshold value on a higher energy side and the lower energy side data obtained using a threshold value on a lower energy side of the received X-ray data, and a correction unit 250 to reconfigure the lower energy side data using the calculated detection amount. The apparatus can remove a residual image of an X-ray on a higher energy side which remains in data on a lower energy side.

Abstract: A control element for a sensor network having a set of different sensors. In operation, the control element transfers connections between the control element and the set of different sensors, where the transfer connections are compliant with respective sensor-specific protocols. A sensor controller element is provided for each sensor, and establishes transfer connections between the control element and new sensors in runtime. Information obtained in a sensor-specific protocol format from the sensors is converted into a common format in the sensor controller elements. The common format information is processed by a set of common control components of the control element. The control element provides a service based on the information in the common format to at least one consumer, and updates the service in accordance with the sensors present in the sensor network.

Abstract: A system for detecting an error in an inertial measurement unit (IMU) is disclosed. The system may have a first IMU including a first plurality of accelerometers and a first rotational rate measurer. The first plurality of accelerometers may be configured to measure acceleration along a plurality of first axes, a first axis of the plurality of first axes being substantially collinear with a collinear axis. The first rotational rate measurer may be configured to measure a first rotational rate about a second axis of the plurality of first axes that is substantially perpendicular to the collinear axis. The system may also have a second IMU and an IMU error detector. The IMU error detector may be configured to receive measurement data from the first IMU and the second IMU; and detect an error based on the measurement data.

Abstract: A magnetic field sensor includes a true power on state (TPOS) detector for which a measured threshold value is stored prior to power down and recalled upon power up. A corresponding method is associated with the magnetic field sensor.

Abstract: The invention relates to a method for determining a gas concentration in a measuring gas by means of a gas sensor. In a first mode of operation of an internal combustion engine, in which the gas concentration in the measuring gas is known, a gas concentration signal and a pressure signal are detected. A compensation parameter of the gas sensor is determined from said signals. The thus determined compensation parameter is taken into account in at least one of the two modes of operation of the internal combustion engine for determining the gas concentration.

Abstract: A method for detecting and responding to disturbances in a HVAC system using a noisy measurement signal and a signal filter is provided. The method includes detecting a deviation in the noisy measurement signal, resetting the filter in response to a detected deviation exceeding a noise threshold, filtering the noisy measurement signal using the signal filter to determine an estimated state value, and determining that a disturbance has occurred in response to the estimated state value crossing a disturbance threshold. In some embodiments, the method further includes performing one or more control actions in response to the detection of a disturbance.

Abstract: A wearable fall-detection device has a variety of sensors, including a pressure sensor, that provide signals for sampling environmental conditions acting on the device. An average of pressure data samples is used to determine a resultant that may indicate an amount of noise in a pressure data signal, and statistical analysis of the noise and the pressure signal average may be used to determine a confidence estimate value that indicates a level of confidence in the amount of noise that a pressure signal is subject to, or includes. The confidence estimate and known fall data, such as change in pressure between a person standing and lying, can create a threshold function that may adapt according to sampled data thus providing a customizable (either statically or dynamically) threshold function for comparing sensor data against rather than comparing data with just a linear threshold function.

Abstract: An information processing device acquires an output value in accordance with a state in which an operating device is held, acquires the output value in accordance with a predetermined first holding state of the operating device as a first reference value, acquires the output value in accordance with a predetermined second holding state of the operating device, different from the first holding state, as a second reference value, and calculates a state value indicative of the state in which the operating device is held, which is in accordance with the acquired output value, based on the first reference value and the second reference value.

Abstract: In a multi-channel oscilloscope a method of calibrating interleaved digitizer channels initially calibrates each digitizer channel to produce a bandwidth enhanced filter for each digitizer channel to match the respective channel frequency and phase characteristics. The oscilloscope is then configured for interleaved operation whereby an input signal is applied to at least two digitizers via a switch through a common preamplifier to produce a reference digitizer channel and an interleaved digitizer channel where the bandwidth enhanced filter for the interleaved digitizer channel is now not correct. Fast Fourier transforms are performed on the data from the reference digitizer channel and the interleaved digitizer channel, from which are derived a match filter for the interleaved digitizer channel so the interleaved digitizer channel and reference digitizer channel are matched in phase and magnitude at all frequencies.

Abstract: Sensing systems are presented in which one or more sensors are operatively associated with a portable device such as a smartphone or tablet computer. A software application on the portable device provides an interface through which a user can interact with the sensors, e.g. to collect readings or perform calibrations. Preferably the portable device acts as an intermediary to a Cloud service for management and storage of measured data and calibration information. Once transmitted to the Cloud, the data can be accessed from any internet-connected device.

Abstract: A power state of any point of a power system is estimated with high accuracy to appropriately perform monitoring of the state of the entire power system. A power system state estimation device is provided which includes a power system data database which holds node information indicative of positions in the power system and facility information including sensors in association with each other, a sensor data database which holds the output of the sensors, an estimation environment setting unit which determines a sensor to be used when a power state at a particular node is estimated, using the information of the power system data database, and a state estimation unit which in correspondence to the sensor used at the particular node determined by the estimation environment setting unit, obtains the output of the sensor from the sensor data database and performs state estimation for the entire power system.

Abstract: A method for manufacturing a sensor insole includes connecting wires of force sensors to a printed circuit board. The printed circuit board and the force sensors are positioned on a felt layer in a predetermined configuration, and placed in the mold. A urethane foam is then injected into the planar internal cavity of the mold to form a sensor sheet that includes a urethane layer, the felt layer, and the printed circuit board and the force sensors positioned therebetween.