Abstract: Disclosed is a scalable, graph-based approach to detecting anomalous accesses to resources in a computer network. Access events are represented as edges between resource nodes and accessing nodes (e.g., corresponding to users) in a bipartite graph, from which vector representations of the nodes that reflect the connections can be computed by graph embedding. For an access event of interest, an anomaly score may be computed based on dissimilarities, in terms of their embedding distances, between the associated accessing node and other accessing nodes that have accessed the same resource, and/or between the associated resource node and other resource nodes that have been accessed by the same accessing node.

Abstract: Some embodiments include burden-free insulin delivery systems and methods. Some embodiments include a method comprising: receiving previous insulin delivery data at a user device from an insulin pump; receiving estimated glucose data at the user device from a continuous glucose monitor; determining that the estimated glucose value is approaching or has passed a threshold; and in response to determining that the estimated glucose value is approaching or has surpassed the threshold, not providing an indication to the user through a user interface that the estimated glucose value is approaching or surpassed the threshold.

Abstract: A vehicle wheel alignment system has a plurality of cameras, each camera for viewing a respective target disposed at a respective wheel of the vehicle and capturing image data of the target as the wheel and target are continuously rotated a number of degrees of rotation without a pause. The image data is used to calculate a minimum number of poses of the target of at least one pose for every five degrees of rotation as the wheel and target are continuously rotated the number of degrees of rotation without a pause. At least one of the cameras comprises a data processor for performing the steps of preprocessing the image data, and calculating an alignment parameter for the vehicle based on the preprocessed image data.

Abstract: An electronic apparatus is provided. The electronic apparatus according to the disclosure includes: a light emitter; a light receiver; a memory; and a processor, wherein the processor is configured to: acquire a first depth image based on first reflected light acquired during a first time period and store the first depth image in the memory, acquire a second depth image based on second reflected light acquired during a second time period following the first time period, and acquire distance information between the electronic apparatus and the object included in the second depth image by subtracting a first depth value of each pixel of the first depth image from a second depth value of each pixel of the second depth image, and correct the distance information by using a compensation value acquired based corresponding to time information on the second time period.

Abstract: An AI-based anomaly signatures warning recommendation system is provided. The system includes a memory having computer-readable instructions stored therein and a processor configured to execute the computer-readable instructions to access a multi-asset connected system having a plurality of production and/or process lines. Each of the plurality of production lines includes a plurality of assets. The processor is configured to access production data corresponding to a plurality of products manufactured in each of the plurality of production lines and to access sensor signal data corresponding to each of the plurality of assets. The sensor signal data is indicative of health of each of the plurality of assets. The processor is further configured to process the production data and sensor signal data for each of the plurality of assets to identify one or more anomaly instances and to perform similarity analysis on the one or more anomaly instances to identify one or more anomaly signatures.

Abstract: An electronic device includes an indoor positioning tag and an indoor positioner. The indoor positioning tag includes a gravity sensor. The indoor positioning tag determines whether to start to transmit a wireless signal according to the acceleration magnitude, the acceleration direction, and the duration of acceleration change detected by the gravity sensor, and adjusts the frequency of the transmission interval of the wireless signal.

Abstract: A programmable two-dimensional simultaneous multi-beam optically operated phased array receiver chip is manufactured based on silicon-on-insulator (SOI) and indium phosphide (InP) semiconductor manufacturing processes, including the SiN process. The InP-based semiconductor is used for preparing a laser array chip and a semiconductor optical amplifier array chip, the SiN is used for preparing an optical power divider, and the SOI semiconductor is used for preparing a silicon optical modulator, a germanium-silicon detector, an optical wavelength multiplexer, a true delay line, and other passive optical devices. The whole integration of the receiver chip is realized through heterogeneous integration of the InP-based chip and the SOI-based chip. Simultaneous multi-beam scanning can be realized through peripheral circuit programming control.

Abstract: A control module of a power calibration circuit comprises a control unit, a main voltage feedback unit and an auxiliary voltage feedback unit, the control unit is connected to at least one power switch, the main voltage feedback unit is connected to an output terminal of the power calibration circuit and the control unit, the auxiliary voltage feedback unit is connected to the output terminal and the control unit, the auxiliary voltage feedback unit comprises a voltage dividing circuit connected to the output terminal and having at least one voltage dividing node, and a voltage limiting circuit connected to the voltage dividing node and the control unit, the voltage limiting circuit has a first state when a voltage of the voltage dividing node is not higher than a reference voltage, and a second state when a voltage of the voltage dividing node is higher than the reference voltage.

Abstract: The invention relates to a self-propelled construction machine and to a method for controlling a self-propelled construction machine. The construction machine according to the invention has a position-determining device 13 for determining the position of a reference point R on the construction machine in a coordinate system (X, Y, Z) independent of the construction machine. The position-determining device has a navigation satellite system receiver 14 for receiving satellite signals from a global navigation satellite system 15 (GNSS) and a computing unit 16 which is configured so that the position of a reference point (R) on the construction machine and the orientation (?) of the construction machine can be determined based on the satellite signals in a coordinate system (X, Y, Z) that is independent of the construction machine.

Abstract: There is provided a system and method of analysing anomalies in one or more electronic appliances including at least one computer. The method comprises, by a processor and memory circuitry, upon detection of a deviation of a given parameter representative of the one or more electronic appliances from an operational state, providing a model associated with the given parameter, wherein the model links one or more other parameters to the given parameter, wherein the one or more other parameters affect the given parameter, and based at least on the model, identifying, among the one or more other parameters, at least one parameter Pj for which a change in its value allows bringing back the given parameter to the operational state.

Abstract: A fluorescent spectrum correcting method includes comparing fluorescent spectrum obtained from micro-particles labeled with a plurality of fluorescent pigments with reference spectrum to separating the fluorescent spectrum into fluorescent spectrum for each pigment, and previously measured spectrum data is used as the reference spectrum.

Abstract: An oscilloscope includes a time domain input, a logic domain input, and a frequency domain input. The time domain input provides a time domain input signal in a time domain as a first input signal. The logic domain input provides logic level input as a second input signal. The logic level input includes logic levels over time. The frequency domain input provides a third input signal through frequency downconversion.

Abstract: The systems and methods discussed herein related to digital to analog conversion. A digital to analog conversion circuit can includes a digital input, an analog output, and a cell array. The digital to analog converter can also include an integrator, an analog to digital converter (ADC), and a summer coupled to the ADC, and an adaptation circuit coupled to the summer. The adaption circuit provides controls signals to the cell array.

Abstract: This disclosure is directed to methods, computer program products, and systems for calibrating one or more remote sensing devices in an environment. The disclosed technology relates to a calibration device configured to determine measurement data within an environment. The calibration device may transmit the measurement values, or other calibration data items, to a remote sensing device via a wireless link while the remote sensing device stays with a structure in which the remote sensing device is commissioned to operate. In response to receiving the calibration data items, the remote sensing device may adjust one or more settings of the remote sensing device in order to satisfy a calibration threshold.

Abstract: The invention relates to a calibration unit (2) for a monitoring device (1), wherein the monitoring device (1) is designed as man-overboard monitoring of a ship section (4), wherein the monitoring device has at least one camera (5a, 5b) for video-monitoring the ship section (4) and for providing video data, wherein the camera (5a, 5b) has at least one intrinsic calibration parameter (11) and at least one extrinsic calibration parameter (12), wherein the video data is provided to the calibration unit (2), comprising an input module (9) for a user to input one or more calibration elements (10) and comprising an evaluation module (8), wherein the evaluation module (8) is designed to determine the unknown calibration parameters (11, 12) based on the calibration elements (10), in particular their orientation and/or extension.

Abstract: Ultra-high accuracy elevation and pressure telemetry devices are used to develop an autonomous, self-calibrating hydraulic piping network computer simulation model. Virtual pressure reducing valve (PRV) model elements force a local downstream calibration of the model using the pressure telemetry data, overcoming the potential ill conditioned state when simulating wide ranging, real world operational conditions. This technique also creates a smaller solution set for calibration optimization algorithms such as machine learning. Additional benefits of this technique include the ability to ignore complex facilities such as pump stations, water storage tanks, and control valves enabling a more rapid development of the real-time water piping network computer simulation model.

Abstract: A device may obtain a master beta coefficient of a master calibration model associated with a master instrument. The master beta coefficient may be at a grid of a target instrument. The device may perform constrained optimization of an objective function, in accordance with a set of constraints, in order to determine a pair of transferred beta coefficients. The constrained optimization may be performed based on an initial pair of transferred beta coefficients, the master beta coefficient, and spectra associated with a scouting set. The device may determine, based on the pair of transferred beta coefficients, a transferred beta coefficient. The device may determine a final transferred beta coefficient based on a set of transferred beta coefficients including the transferred beta coefficient. The final transferred beta coefficient may be associated with generating a transferred calibration model, corresponding to the master calibration model, for use by the target instrument.

Abstract: A failure detection system detects a failure of a sensor that detects a state of a semiconductor manufacturing apparatus. The failure detection system includes a generation unit configured to generate times-series data of information on a detection value of the sensor during a determination period, a calculation unit configured to calculate a regression line of the times-series data, and a failure determination unit configured to determine whether the sensor has failed based on a slope of the regression line.

Abstract: Provided are a color control method and apparatus of a to-be-displayed object, a measurement device, and a medium. The method includes: acquiring to-be-displayed object information of the to-be-displayed object, and generating a corresponding to-be-displayed object interface according to the to-be-displayed object information; configuring color information of the to-be-displayed object interface based on a preset to-be-displayed object color mapping frame, where the to-be-displayed object color mapping frame is used for configuring a mapping relationship between the color information and the to-be-displayed object information of the to-be-displayed object on a current display interface; and displaying the to-be-displayed object information of the to-be-displayed object interface according to the configured color information.

Abstract: An automated calibration unit has several ports for connecting with respective ports of a test and measurement instrument to be calibrated. The automated calibration unit has a frequency conversion circuit that is non-linear and reciprocal in amplitude and phase. The automated calibration unit has at least one switching circuit with several switch states. The automated calibration unit is configured to selectively connect each one of the several ports to another one of the several ports depending on the switch state, thereby providing a through connection via the frequency conversion circuit. The automated calibration unit is configured to selectively connect each one of the several ports to at least one of several calibration standards respectively depending on the switch state. Further, a frequency conversion circuit and a method of performing calibration of a test and measurement instrument are described. Moreover, a method of absolute power calibration transfer is described.

Abstract: A method for estimating the pressure measurement bias of a barometric sensor in a wireless terminal. A location engine using the method generates an enhanced estimate of the measurement bias. The location engine generates the enhanced estimate based in part on relatively coarse estimates of the elevation of the wireless terminal. Each coarse estimate of elevation is often generated from noisy measurements, such as measurements of signals transmitted by Global Positioning System (GPS) satellites, and has an associated uncertainty. The location engine accounts for the uncertainty in these estimates of elevation by applying an optimal estimation technique, such as Kalman filtering, and by compensating for environment-related effects. Compensating Includes filtering across a plurality of lateral locations and imposing a lower bound of bias uncertainty at the lateral locations.

Abstract: Systems, methods, and control units for diagnosis and life prediction of one or more electro-mechanical system are provided. One method includes receiving sensor data from a plurality of sensors associated with operation of the electro-mechanical system. The method includes determining at least one system response associated with at least one failure mode of the electro-mechanical system from the sensor data, wherein the sensor data is indicative of the at least one failure mode of the electro-mechanical system. The method further includes receiving at least one simulated response associated with the at least one failure mode of the electro-mechanical system, wherein the at least one failure mode is simulated on a system model of the electro-mechanical system.

Abstract: A vehicle wheel alignment system has a plurality of cameras, each camera for viewing a respective target disposed at a respective wheel of the vehicle and capturing image data of the target as the wheel and target are continuously rotated a number of degrees of rotation without a pause. The image data is used to calculate a minimum number of poses of the target of at least one pose for every five degrees of rotation as the wheel and target are continuously rotated the number of degrees of rotation without a pause. At least one of the cameras comprises a data processor for performing the steps of preprocessing the image data, and calculating an alignment parameter for the vehicle based on the preprocessed image data.

Abstract: The invention relates to a method for calibrating a magnetic locator, said magnetic locator including at least a transmitter and a receiver, the calibration method involving a third sensor constituted of a transceiver, said method including, transmission of a first magnetic field by the transmitter and reception of first signals generated in the receiver by said magnetic field (S1), transmission of a second magnetic field by the transmitter and reception of second signals generated in the transceiver by said magnetic field (S2), transmission of a third magnetic field by the transceiver and reception of third signals generated in the receiver by said magnetic field (S3), the calibration method including the determination (S4) of at least a magnetic moment of the transmitter and a magnetic moment of the receiver from the first signals, second signals and third signals.

Abstract: A mass spectrometric data processing program that processes mass spectrometric data causes a data processor including a computer to execute a data conversion process in which representative value data, which is representative value data including a data set of a representative value of mass-to-charge ratio information and an ion intensity with respect to the representative value, is converted into profile data, which is ion intensity data with respect to the mass-to-charge ratio information.

Abstract: A method for calibrating a detection system. The detection system including at least one movable detection device. The method includes: ascertaining at least two possible different positions of the at least one movable detection device, precalibrating the at least one movable detection device based on each of the at least two possible positions, providing precalibration information for the at least two possible positions, —ascertaining an instantaneous positioning of the at least one movable detection device, ascertaining calibration information for the instantaneous position on the basis of the precalibration information, and calibrating the at least one movable detection device in the instantaneous position on the basis of the provided calibration information.

Abstract: The present invention relates to non-invasive blood glucose measuring apparatus and method. More specifically, the apparatus is inserted into a blood vessel of a human body, and at a point of time when a measurement is desired, wirelessly transmits power so as to be operated, wherein a dipole antenna-form sensor measures a change in a specific parameter depending on a blood glucose level. The apparatus measures the blood glucose in a non-invasive manner, wherein a display unit that is present outside the human body receives the parameter value through wireless communication and displays a corresponding blood glucose level.

Abstract: A signal processing circuit includes a correction function determination section for performing correction function determination processing, and a correction processing section for performing correction processing. The correction processing is to correct first and second detection signals by using a correction function to thereby generate first and second corrected signals. The correction function is expressed as a coefficient matrix for converting a first column vector containing the first and second detection signals as elements into a second column vector containing the first and second corrected signals as elements. The correction function determination processing includes performing arithmetic processing using a plurality of pairs of values of the first and second detection signals to determine one or two provisional correction coefficients as the correction coefficients of the correction function.

Abstract: A sensor system comprises a first mobile sensor unit and a stationary sensor unit. The first mobile sensor unit has a first sensor for acquiring a first measured value and a first wireless communication unit for receiving a calibration value and for transmitting the first measured value. The stationary sensor unit has a second sensor for acquiring a second measured value and a second wireless communication unit for transmitting the calibration value and for receiving the first measured value.

Abstract: A system for illustrating the flight of a sports ball includes a radar, an imager, and a controller. The imager is configured to image a moving sports ball. The controller is configured to (i) receive, from the imager, an image including the moving sports ball, (ii) receive, from the radar, radar data associated with the moving sports ball, (iii) determine, from the radar data, a portion of a trajectory of the moving sports hall, (iv) alter the image to illustrate the portion of the trajectory relative to the moving sports ball, and (v) output the altered image.

Abstract: A method and a system for detecting anomalies in a water distribution system comprises a network of nodes, and is equipped with sensors of at least water velocity at a subset of the nodes. The water distribution system is modeled by a hydraulic model. The method comprises parametrizing the hydraulic model with initial values of a set of control variables, using the sensors to obtain values of state variables of the network at the nodes, using the hydraulic model to calculate predicted values of state variables, recursively calculating the values of control variables which, applied to the hydraulic model, permit to obtain the predicted values of state variables the closest to the observed values, and classifying nodes of the network based on the values of control variables.

Abstract: Embodiments include devices and methods for processing an image captured by an image sensor of a robotic vehicle. A processor of the robotic vehicle may calculate an image output orientation matrix for an image that is output by the image sensor. The processor may calculate image sensor orientation matrix the image sensor. The processor may calculate a body orientation matrix of the robotic vehicle. The processor may transform the image captured by the image sensor based on the image output orientation matrix, the image sensor orientation matrix, and the body orientation matrix.

Abstract: A data acquisition system for acquiring a digitized time-domain signal and corresponding mass spectra from a mass spectrometer. The system comprises a signal conditioning device including an amplifier and an analog low-pass filter, to amplify and filter an analog signal generated by the mass spectrometer, and to output a conditioned analog signal; an analog-to-digital converter to convert in real time the conditioned analog signal into a digital data stream; a digital signal processing device having an in-line digital signal processing device for processing the digital data stream to generate the digitized time-domain signal, and to digitally decode a digital triggering signal from the mass spectrometer; and a host device having a data processing device to receive the digitized time-domain signal from the digital signal processing device, and to construct a corresponding mass spectra from the digitized time-domain signal.

Abstract: A peak-waveform conversion processor detects a peak in a profile spectrum created based on data obtained in each micro area in a measurement area, and acquires a rod-like peak by performing centroid conversion processing on a waveform of the peak in a mountain shape. When receiving a precise m/z value Ma of a target compound and an allowable range ?M of m/z, an image creator determines whether or not there is a rod-like peak in a range defined by “Ma±?M”, for each micro area. When there is a rod-like peak, a height value of the rod-like peak is defined as the signal intensity value of the target compound in the micro area. In contrast, when there is no rod-like peak in the range defined by “Ma±?M”, the signal intensity value of the target compound in the micro area is set to zero.

Abstract: An electric toothbrush includes a brush head at an end of a handle, an acceleration sensor and/or a rotation sensor that detect(s) movement parameters of the electric toothbrush, a wireless communication interface that wirelessly transmits recorded data comprising the detected movements parameters of the electric toothbrush in a processed state and receives treatment mode data for operating the electric toothbrush, a pressure sensor that detects a contact pressure applied by the brush head to teeth and/or gums, at least one first outputting device that visually outputs signals or commands in accordance with the detected contact pressure or in accordance with the detected movement parameters, and at least one second outputting device that haptically outputs signals or commands, in the form of vibrations, in accordance with the detected contact pressure or in accordance with the detected movement parameters.

Abstract: A mouse device and method for calibrating sensitivity thereof are provided. The method for calibrating sensitivity includes the following steps. First, sampling information is obtained under a test mode. A calibration factor is obtained according to the sampling information and a preset value. The calibration factor can be obtained by dividing the preset value by the resolution. Under a normal mode, an actual count detected by the mouse device is calibrated according to the calibration factor. Whenever the mouse device is moved on the operating surface for a distance, the actual count detected by the mouse device can be calibrated to obtain a calibrated count. The calibrated count can be calculated by multiplying the actual count by the calibration factor.

Abstract: There is provided a laser processing device that includes a laser light source configured to output laser light, a spatial light modulator configured to modulate the laser light output from the laser light source according to a phase pattern and emit the modulated laser light, an objective lens configured to converge the laser light emitted from the spatial light modulator onto an object, a controller configured to control a phase pattern to be displayed on the spatial light modulator, and a determiner configured to determine whether operation of the spatial light modulator is normal, in which the controller performs switching control in which the phase pattern to be displayed on the spatial light modulator is switched, and the determiner makes the determination on the basis of a change in intensity of the laser light emitted from the spatial light modulator between before the switching control and after the switching control.

Abstract: Described is a system for identifying and communicating with polarized groups in social media platforms. The system generates a tripartite graph from online social network data. The tripartite graph incorporates user data, post data, and tag data obtained from the online social network data. Nonnegative matrix factorization is performed on a decomposed tripartite graph to obtain an optimization function. The optimization function is solved to identify polarized groups in the online social network. Based on the identified polarized groups, the system sends pre-determined communications to members of each group aimed at targeted escalation or de-escalation of polarization in an online social media platform.

Abstract: A microbolometer read-out circuit includes an extraction circuit configured to detect a voltage signal of a temperature variation; an analog-to-digital converter coupled to the extraction circuit and configured to digitalize the voltage signal of the temperature variation; an image processing circuit coupled to the analog-to-digital converter; and wherein the image processing circuit is coupled to a gain digital-to-analog converter and an offset digital-to-analog converter.

Abstract: A mathematical model of load flow equations for an electrical grid having a chain of busses is embedded in a holomorphic embedding using a first embedding parameter s. The holomorphic embedding is transcribed into software for use in a computer processor. Voltages for each bus are calculated as an algebraic curve parameterized by the first embedding parameter. A second embedding parameter z is defined wherein the first embedding parameter s is a function of the second embedding parameter z. The holomorphic embedding is re-parameterized using the second embedding parameter z, such that the re-parameterized embedding provides an elimination polynomial equation relating parameters s and z. The roots of the elimination polynomial equation are determined by solving the for zero, which roots are used to compute bus voltages for each bus of the chain of busses. The bus voltages are displayed as the solution to the load flow equations.

Abstract: Provided are methods and apparatus for receiving sensor data from an analyte sensor of a sensor monitoring system, processing the received sensor data with time corresponding calibration data, outputting the processed sensor data, detecting one or more adverse conditions associated with the sensor monitoring system, disabling the output of the sensor data during the adverse condition time period, determining that the one or more detected adverse conditions is no longer present in the sensor monitoring system, retrieving the sensor data during the adverse condition time period, processing the retrieved sensor data during the adverse condition time period, and outputting the processed retrieved sensor data.

Abstract: The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of automatic classification and modeling. The innovation can include determining a failure history of networked architecture, the failure history including data immediately prior to failure. The innovation can include machine learning the failure history to determine failure indicators. The innovation can include generating a black hole model based on the failure history and the machine learning. The innovation can include monitoring a networked architecture. The networked architecture has a set of elements comprising software elements and hardware elements interconnected in a common environment. Each element of the set of elements is monitored. The innovation can include determining an element is trending towards a failure. The trend is determined by a black hole model. The innovation can include enabling security features to prevent the element from failure.

Abstract: According to one embodiment, a method, computer system, and computer program product for creating a plurality of process parameters in a circuit design is provided. The present embodiment of the invention may include receiving one parasitic extraction per layer of a circuit is used to obtain a resistance base factor and a capacitance base factor. The embodiment may further include performing Monte Carlo simulations to determine distributions of capacitance and resistance for each metal layer of the circuit, and creating scalars that scale each of the resistance base factor and the capacitance base factor to a minimum and maximum process limit. Additionally, the embodiment may include defining at least one delay corner using the created scalars, and receiving the results of one or more timing analyses performed using the resistance base factor and the capacitance base factor, and the defined delay corner to determine a delay variability per layer.

Abstract: Examples are disclosed herein related to controlling a scanning display system. One example provides a display device comprising a light source, a scanning mirror system configured to scan light from the light source, and a controller configured to control the scanning mirror system to scan the light by synthesizing in a time domain a mirror control waveform that comprises a linear scan portion and a retrace portion stitched to the linear scan portion, the mirror control waveform being continuous and having an arbitrary timing that is adjustable by the controller between scan cycles.

Abstract: Various aspects of this disclosure comprise systems and methods for synchronizing sensor data acquisition and/or output. For example, various aspects of this disclosure provide for achieving a desired level of timing accuracy in a MEMS sensor system, even in an implementation in which timer drift is substantial.

Abstract: There are provided an electrophoresis measurement method which can easily and accurately judge degree of similarity between reference data and measurement target data, a data processing device, and a data processing program. Detected data obtained by subjecting a reference sample to electrophoresis is standardized with reference to peaks of a lower limit marker substance and an upper limit marker substance, and thus reference data is acquired. Detected data obtained by subjecting a measurement target sample to electrophoresis is standardized with reference to peaks of the lower limit marker substance and the upper limit marker substance, and thus measurement target data is acquired. The measurement target data is warped or shifted in a time axis direction with reference to the reference data, and corrected measurement target data is obtained.

Abstract: An analysis system and a method for testing a biological sample are proposed, wherein certain pieces of at least two different pieces of control information are selected and/or used to carry out the test using a cartridge and/or certain pieces of at least two different pieces of evaluation information are selected and/or used to evaluate the measurement results determined by the test.

Abstract: A laboratory system is disclosed. The laboratory system comprises a plurality of laboratories comprising one or more analytical instruments for performing a plurality of analytical tests (T1-n) and providing analytical test results (TR1-n) and a remote computer communicatively connected to the laboratories. Each of the laboratories is configured to define test result validation criteria (C1-n) for validating at least one of the analytical test results (TR1-n) associated with the respective analytical tests (T1-n) of one of the plurality of laboratories. The remote computer is configured to define a plurality of profiles (P1-n) of validation criteria, to assign the profiles (P1-n) of test result validation criteria (C1-n) to one or more of the laboratories (102), and to perform an automatic validation of groups (G1-n) of the analytical test results (TR1-n) according to the profiles (P1-n) of test result validation criteria (C1-n).

Abstract: Detector systems for enhanced radiographic imaging incorporate x-ray CT imaging capabilities. The detector designs employ a layer of detector modules comprised of edge-on or face-on detectors, or a combination of edge-on and face-on detectors, and may employ structured detectors. The detectors can operate in a non-coincidence or coincidence detection mode.

Abstract: Provided are methods and apparatus for receiving sensor data from an analyte sensor of a sensor monitoring system, processing the received sensor data with time corresponding calibration data, outputting the processed sensor data, detecting one or more adverse conditions associated with the sensor monitoring system, disabling the output of the sensor data during the adverse condition time period, determining that the one or more detected adverse conditions is no longer present in the sensor monitoring system, retrieving the sensor data during the adverse condition time period, processing the retrieved sensor data during the adverse condition time period, and outputting the processed retrieved sensor data.