Abstract: In some examples, a touch screen can perform a first touch scan to obtain first touch data and a second touch scan to obtain second touch data. The touch data resulting from the second touch scan may exclude respective noise (e.g., display-to-touch crosstalk (DTX) noise) or may include a reduced amount of the respective noise. In some examples, the electronic device can subtract the second touch data from the first touch data to obtain an estimate of the noise in the first touch data. In some examples, this noise estimate can be subtracted from the first touch data and an action can be performed based on the first touch data with the noise estimate removed.

Abstract: In some examples, a touch screen can perform a first touch scan to obtain first touch data and a second touch scan to obtain second touch data. The touch data resulting from the second touch scan may exclude respective noise (e.g., display-to-touch crosstalk (DTX) noise) or may include a reduced amount of the respective noise. In some examples, the electronic device can subtract the second touch data from the first touch data to obtain an estimate of the noise in the first touch data. In some examples, this noise estimate can be subtracted from the first touch data and an action can be performed based on the first touch data with the noise estimate removed.

Abstract: In some examples, a touch screen can perform a first touch scan to obtain first touch data and a second touch scan to obtain second touch data. The touch data resulting from the second touch scan may exclude respective noise (e.g., display-to-touch crosstalk (DTX) noise) or may include a reduced amount of the respective noise. In some examples, the electronic device can subtract the second touch data from the first touch data to obtain an estimate of the noise in the first touch data. In some examples, this noise estimate can be subtracted from the first touch data and an action can be performed based on the first touch data with the noise estimate removed.

Abstract: In some examples, a touch screen can perform a first touch scan to obtain first touch data and a second touch scan to obtain second touch data. The touch data resulting from the second touch scan may exclude respective noise (e.g., display-to-touch crosstalk (DTX) noise) or may include a reduced amount of the respective noise. In some examples, the electronic device can subtract the second touch data from the first touch data to obtain an estimate of the noise in the first touch data. In some examples, this noise estimate can be subtracted from the first touch data and an action can be performed based on the first touch data with the noise estimate removed.

Abstract: A computer-implemented system includes a plurality of metrological interface devices. Each metrological interface device is in communication with a metrological sensing device configured to detect metrological data from a physical asset. The computer-implemented system also includes a portable computing device. The portable computing device is configured to a) receive a metrological data set, the metrological data set substantially representing data associated with the physical asset at a point in time, b) process the metrological data set and an asset data model into a processed metrological data set, c) upon determining, based on the processed metrological data set, a metrological variance, recalibrating the asset data model and returning to step (a), and d) upon determining no metrological variance, reporting the metrological data set and the asset data model to at least one report recipient.

Abstract: System architecture that provides computer-based methods of wireless communication between a wireless metrological device and a mobile computing device that includes the sending/receiving of data (e.g., measurements) along with a universal generic data service that includes data descriptor(s) affiliated with the measurements. The architecture and methods, which may be communicated via BLE, allow for uniform communication between tools and mobile computing devices regardless of tool type, manufacturer, and measurement information.

Abstract: A method implemented using one or more computer processors for estimating the density of a material in an annular space includes receiving detector data representative of scattered photons resulting from interaction of a material in an annular space with radiation from a radiation source and detected by a plurality of radiation detectors. The technique further includes performing a set of Monte Carlo simulations. The method further includes performing a principal component analysis on the set of Monte Carlo simulations to generate a principal component analysis model of the detector data. The method also includes estimating the density of the material at one or more locations within the annular space based upon the principal component analysis model and the detector data.

Abstract: A system includes a light emitting unit, a front mirror, a rear mirror, an imaging unit and a processor. The light emitting unit is configured to emit a collimated light beam. The front mirror is configured to reflect part of the collimated light beam to produce and project a front focused ring of structured light to an object to obtain a front reflected ring of light, and configured to allow part of the collimated light beam to pass by. The rear mirror is positioned downstream of a light transmitting path of the front mirror. The rear mirror is configured to reflect at least part of the collimated light beam passing by the front mirror to produce and project a rear focused ring of the structured light to the object to obtain a rear reflected ring of light.

Abstract: A metrological interface device includes a printed circuit board (“PCB”) including at least one metrological sensor communication interface and at least one first wireless communication interface. The metrological interface device is in communication with a metrological sensing device via the metrological sensor communication interface. Each metrological sensing device is coupled to a physical asset. Each metrological interface device is configured to receive the metrological data from the metrological sensing device. The metrological interface device is configured to receive metrological data from the metrological sensing device via the metrological sensor communication interface. Metrological data represents physical measurement data associated with the physical asset.

Abstract: A measurement system for determining dimensions of a measurement zone of a physical asset is presented. The system includes a telescoping gauge configured to determine one or more analog measurements corresponding to the measurement zone of the physical asset, where the telescoping gauge includes a sliding arm and a vertical arm. Furthermore, the system includes a data digitizer operatively coupled to the telescoping gauge and configured to convert the one or more analog measurements to corresponding one or more digital measurements. In addition, the system includes a wireless unit operatively coupled to the telescoping gauge and configured to wirelessly transmit the one or more digital measurements.

Abstract: According to some embodiments, system comprises a metrological device operative to collect and transmit measurement data; and a hands-free communication device operative to receive the collected data and communicate the data to a user. Numerous other aspects are provided.

Abstract: A method for continuously monitoring the working condition of a heat recovery steam generator (“HRSG”) using infrared thermography, comprising the steps of identifying target locations inside the HRSG, positioning one or more infrared cameras to continuously monitor and record the temperature at each target location, generating continuous thermographic images corresponding to selected components and locations at each target locations, comparing the continuous thermographic images to corresponding, stored base line images and generating a set of comparative data reports in real time for each target location in order to predict the life span or potential failure of HRSG components.

Abstract: A measurement system for determining dimensions of a measurement zone of a physical asset is presented. The system includes a telescoping gauge configured to determine one or more analog measurements corresponding to the measurement zone of the physical asset, where the telescoping gauge includes a sliding arm and a vertical arm. Furthermore, the system includes a data digitizer operatively coupled to the telescoping gauge and configured to convert the one or more analog measurements to corresponding one or more digital measurements. In addition, the system includes a wireless unit operatively coupled to the telescoping gauge and configured to wirelessly transmit the one or more digital measurements.

Abstract: System architecture that provides computer-based methods of wireless communication between a wireless metrological device and a mobile computing device that includes the sending/receiving of data (e.g., measurements) along with a universal generic data service that includes data descriptor(s) affiliated with the measurements. The architecture and methods, which may be communicated via BLE, allow for uniform communication between tools and mobile computing devices regardless of tool type, manufacturer, and measurement information.

Abstract: A meteorological system for calibrating a field measurement apparatus includes a field measurement apparatus coupled to a field device. The measurement apparatus is configured to generate measurement signals corresponding to a physical measurement associated with the field device. The measurement signals define a raw data stream. The system also includes a mobile calibration device including a transfer function module with a resident corrective algorithm. The mobile calibration device also includes a calibration standard data module including calibration standard data associated with the measurement apparatus resident thereon. The mobile calibration device is configured to establish bi-directional communication with the measurement apparatus, facilitate shifting the measurement apparatus to a calibration mode, receive the raw data stream from the measurement apparatus, transmit the raw data stream to the transfer function module, and calibrate the field measurement apparatus.

Abstract: A method implemented using one or more computer processors for estimating the density of a material in an annular space includes receiving detector data representative of scattered photons resulting from interaction of a material in an annular space with radiation from a radiation source and detected by a plurality of radiation detectors. The technique further includes performing a set of Monte Carlo simulations. The method further includes performing a principal component analysis on the set of Monte Carlo simulations to generate a principal component analysis model of the detector data. The method also includes estimating the density of the material at one or more locations within the annular space based upon the principal component analysis model and the detector data.

Abstract: A method implemented using one or more computer processors for estimating the density of a material in an annular space includes receiving detector data representative of scattered photons resulting from interaction of a material in an annular space with radiation from a radiation source and detected by a plurality of radiation detectors. The method further includes performing a set of Monte Carlo simulations and generating polynomial models of the detector data based on the set of Monte Carlo simulations. The method further includes estimating the density of the material at one or more locations within the annular space based upon the polynomial models and the detector data.

Abstract: Aspects of the present disclosure relate to the use of a mobile computing device to implement a workflow to be followed when conducting an examination of installed equipment on-site. The workflow may be generated remote from the equipment site and specifies an order in which measurements may be obtained. The workflow may incorporate formulas or equations for processing some or all of the measurements and which may be evaluated on the mobile device itself.

Abstract: A system includes a light emitting unit, a front mirror, a rear mirror, an imaging unit and a processor. The light emitting unit is configured to emit a collimated light beam. The front mirror is configured to reflect part of the collimated light beam to produce and project a front focused ring of structured light to an object to obtain a front reflected ring of light, and configured to allow part of the collimated light beam to pass by. The rear mirror is positioned downstream of a light transmitting path of the front mirror. The rear mirror is configured to reflect at least part of the collimated light beam passing by the front mirror to produce and project a rear focused ring of the structured light to the object to obtain a rear reflected ring of light.

Abstract: A taper gauge that includes an elongate taper assembly that has a tip section and an electronics section that includes a location determining element that collects data related to a measurement area when the tip section is inserted in the measurement area and a power source. An embodiment allows for increased precision, accuracy, and speed for wireless measurement of gaps. A method and system that uses the taper gauge.