Abstract: A method for use in optical measurements on patterned structures, the method including performing a number of optical measurements on a structure with a measurement spot configured to provide detection of light reflected from an illuminating spot at least partially covering at least two different regions of the structure, the measurements including detecting light reflected from the at least part of the at least two different regions within the measurement spot, the detected light including interference of at least two complex electric fields reflected from the at least part of the at least two different regions, and being therefore indicative of a phase response of the structure, carrying information about properties of the structure.

Abstract: Techniques facilitating anomaly detection and root cause analysis using distributed trace data. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components comprise: a preprocessing component; and a monitor component. The preprocessing component can generate a trace frame comprising a vectorized representation of textual trace data produced by microservices of a microservice application. The monitor component can identify a state of the microservice application using the trace frame.

Abstract: A system is provided that predicts motor wear and failures before they occur. Telemetry data from motors in a motor application is collected and predictive algorithms are used to determine when a motor is aging and when it may fail. Identifying a potential failure in these types of applications can help mitigate risk of other equipment failures and realize cost savings. In one example, a motor aging detection system is provided that includes one or more DC motors, and a motor controller coupled to each motor. The motor controller reads three phase currents from each motor and converts the phase currents to digital values, calculates telemetry data including applied voltages, back electric-motive force, inductance, and resistance of each motor at periodic intervals, stores this telemetry data for each motor in a memory. An age detection circuit retrieves this information from the memory and determines age factors of the motor.

Abstract: A method for improving processing of data from a plurality of data sources by extracting signals from data sets includes retrieving the data from the plurality of data sources, generating a correlation matrix or a covariance matrix based on the retrieved data, performing an eigenvalue decomposition on the correlation matrix or the covariance matrix to determine a set of eigenvector loadings, and converting a result of the eigenvalue decomposition into an indicator of a common signal among the retrieved data. Converting the result of the eigenvalue decomposition into the indicator of the common signal includes applying a loading from the set of eigenvector loadings as a weight to at least one corresponding observation in the retrieved data from the plurality of data sources, and recursively repeating the steps of retrieving, generating, performing, and converting.

Abstract: A damping control system comprises a first vehicle, a second vehicle, and a storage device. The first vehicle provides, to the storage device, travel information including a change value of a road surface, position information, and position reliability of the position information. The storage device executes first update processing of updating related value information based on a road surface displacement-related value identified based on the change value, when the position reliability is equal to or higher than a threshold reliability, and executes second update processing of updating the related value information, when the position reliability is lower than the threshold reliability. The second vehicle executes preview damping control using a target control force calculated based on a control related value being a road surface displacement-related value at a predicted passing position.

Abstract: A computer device generates a response to an emergency being reported by a plurality of sensor devices. The memory contains a sensor data engine and a determinant code calculator. The computer device determines the likelihood of an emergency based on received sensor data and, in some embodiments, answers received from an information provider. The sensor data engine receives external sensor data, determines data values associated with the external sensor data, and calculates an emergency likelihood based on the data values. The determinant code calculator generates a determinant code based on the calculated likelihood, and provides the code to an emergency responder system to generate an emergency dispatch response.

Abstract: A circuit module with reliable margin configuration, may include a main circuit, a first auxiliary circuit and a second auxiliary circuit. When the first auxiliary circuit is on, the second auxiliary circuit may be on or off according to whether a control signal is of a first level or a second level. When the first auxiliary circuit and the second auxiliary circuit are both on, the first auxiliary circuit and the second auxiliary circuit may jointly cause an operation parameter of the main circuit to be a first value. When the first auxiliary circuit is on and the second auxiliary circuit is off, the first auxiliary circuit may cause the operation parameter to be a second value. An operation margin of the main circuit may cover a range between the first value and the second value.

Abstract: Techniques discussed herein are directed to identifying health assessment data of a set of computing instances of a distributed computing system. The health assessment data may be collected from the computing instances and stored in a first distributed cache. When a request for health assessment data for one or more computing instances is received, the health assessment data may be retrieved from the first distributed cache, provided to the requesting entity, and stored in a second distributed cache. A subsequent request may cause new health assessment data to be retrieved from the first distributed cache and compared to the stored data of the second distributed cache. Changes in the health assessment data may be identified and data indicating those changes may be provided in response to the subsequent request. One or more remedial actions may be performed in response to the health assessment data obtained.

Abstract: State-of-the-art approaches have concentrated on building solution(s) to match the amplitude of a time series with a user given one. However, these have failed to implement solution(s) which enables searching for pattern(s) that can depict human vision psychology. Embodiments of the present disclosure determine occurrence of pattern of interest in time series data for anomaly detection, wherein time series data is obtained, and first order derivative is computed. Further an angle of change in direction is derived based on a gradient of change in value of the time series data. This angle is further converted to a measurement unit. The time series data is quantized into bins and a weighted finite state transducers diagram (WFSTD) is obtained based on domain knowledge which is then converted to specific pattern. The specific pattern is searched in the bins to determine occurrence/count of the specific pattern for anomaly detection.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing temporally dynamic location-based predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform temporally dynamic location-based predictive data analysis by utilizing at least one of prevalence-based density modeling data objects, growth-based density modeling data objects, and environment-based density modeling data objects.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The method comprises: receiving a flow index corresponding to a plurality of applications available at an electronic device, wherein the flow index represents a type of the flow, and a priority of the flow; determining whether connection for the data transmission exists between the electronic device and an internet server based on the flow index; performing one of regulating the flow based on the flow index in response to determining that the connection for the data transmission exists between the electronic device and the internet server, and discarding the flow index received from the electronic device for regulation of the flow in response to determining that the connection for the data transmission does not exists.

Abstract: Embodiments are directed to managing data visualizations. A primary visualization that is associated with a data model may be provided such that the primary visualization may be displayed in a display panel. Insight items may be generated based on the primary visualization and the data model such that the insight items may correspond to one or more visualizations that may share one or more portions of the data model and such that the insight items may be displayed in an insight panel. In response to an insight item being selected from the insight panel, additional actions may be performed, including: generating a visualization based on the insight item that is displayed in the display panel instead of the primary visualization; and generating a scratch item that includes a thumbnail view of the primary visualization such that the thumbnail view is displayed in a scratch panel.

Abstract: A method of Demand Side Management is intended to manage the increasingly chaotic nature of the power grid, and is designed to adapt to the future impact to the grid patterns caused by the ongoing introduction of renewable power generation sources, battery charging associated with the increasing number of electric vehicles, and future unforeseen developments, by utilizing Statistical Process Control (SPC) techniques. SPC monitors the quality of the grid by treating the grid as if the grid was a process with varying levels of quality, to which the method can detect, anticipate and respond by making immediate and adaptive future scheduling decisions for the control of device loads, or generation, for the benefit of consumers as well as power companies.

Abstract: Example techniques and systems may obtain one or more search types associated with a geographic location of a computing device. In one example, a technique may include determining, by a mobile computing device, a geographic location of the mobile computing device and obtaining one or more search types associated with the geographic location. Responsive to obtaining the one or more search types, the technique may also include outputting, by the mobile computing device and for display, a graphical user interface comprising at least an indication of the one or more search types associated with the geographic location.

Abstract: An integrated navigation solution is provided for a device within a moving platform. Motion sensor data from a sensor assembly of the device is obtained, optical samples from at least one optical sensor for the platform are obtained and map information for an environment encompassing the platform is obtained. Correspondingly, an integrated navigation solution is generated based at least in part on the obtained motion sensor data using a nonlinear state estimation technique, wherein the nonlinear state estimation technique uses a nonlinear measurement model for optical sensor data. Generating the integrated navigation solution includes using the sensor data with the nonlinear state estimation technique and integrating the optical sensor data directly by updating the nonlinear state estimation technique using the nonlinear measurement model and the map information. The integrated navigation solution is then provided.

Abstract: Embodiments for presenting real-time contact options are described herein. In example embodiments, as system identifies a number of user devices actively viewing a web page that includes a real-time contact option. The system then determines whether the number of user devices actively viewing the web page that includes the real-time contact option exceeds a predetermined limit. If the number of user devices actively viewing the web page that includes the real-time contact option exceeds the predetermined limit, the system prevents presentation, to a further user device, of the real-time contact option on the web page. Conversely, if the number of user devices actively viewing the web page that includes the real-time contact option does not exceed the predetermined limit, the system causes presentation of the web page with the real-time contact option to the further user device.

Abstract: Disclosed herein are systems and methods for determining data structures. In some embodiments, a classifier may be used to determine one or more attributes of an entity. In some embodiments, a clustering algorithm may be used to determine an attribute cluster. In some embodiments, an impact metric machine learning model may be used to determine an outlier cluster. In some embodiments, an outlier process may be determined as a function of the outlier cluster. In some embodiments, a visual element may be determined as a function of an outlier process and may be displayed to a user.

Abstract: A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations.

Abstract: In an embodiment a method includes transmitting a signal train through a medium, wherein the signal train includes a sequence of waves of a first group and of a second group, the first and second groups being shifted in a time domain according to a predetermined phase shift, receiving the signal train as a received signal train and as a function of time, detecting a phase shift in the received signal train, assigning wave periods of the received signal train to respective wave periods of the first group using the detected phase shift as reference and determining a sequence of time-of-flight signals from the sequence of waves of the first group and the assigned wave periods of the received signal train, respectively.

Abstract: A processing device acquires map data that has road information, acquires detection results detected by one or more detectors that detects surroundings of a first mobile object, and cross-checks a position of a second mobile object included in the detection results with the road information of the map data to determine whether or not the position of the second mobile object is included in a region indicating a road of the road information.

Abstract: A heating, ventilation, and air conditioning (HVAC) fault prediction system for a building including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to receive HVAC data relating to a plurality of HVAC components, the HVAC data indicating performance of the plurality of HVAC components, generate, based on the received HVAC data, a univariate prediction model and a multivariate prediction model, generate, using the received HVAC data, one or more predicted operational parameters for the plurality of HVAC components corresponding to a future time period, and execute at least one of the univariate prediction model or the multivariate prediction model on the one or more predicted operational parameters to predict a HVAC fault associated with at least one of the plurality of HVAC components to occur during the future time period.

Abstract: Quality indicators regarding a software project under development that has a plurality of functional areas are collected. Each quality indicator is normalized to a coverage of the functional area of the software project to which the quality indicator corresponds. The normalized quality indicators are correlated to previously identified anomalies of the software project, yielding an anomaly indicative value for each normalized quality indicator corresponding to a probability that the normalized quality indicator is revelatory of unidentified anomalies of the software project. A normal behavior for each normalized quality indicator is estimated. For each functional area of the software project, an anomaly score indicative of a likelihood of an unidentified anomaly within the functional area is calculated.

Abstract: A method and a system measure interfering influences on a checkweighing device. In the method, external interference data are obtained, as are interference data from the checkweighing device itself and interference data from an object being weighed, by calculating or mapping the weighing error data in the stationary state, in the operating state, and in the weighing state. The system for measuring the interference uses a meter and a processing apparatus. The meter and the processing apparatus perform an interference measurement and a compensation method. The amount of interference in the checkweighing device in each state and the amount of influence of the interference on the weighing performance is obtained, thereby facilitating the production, debugging, maintenance, and use of a checkweighing device.

Abstract: A transmitter includes a pre-driver stage circuitry, a post-driver stage circuitry, and resistance adjustment circuits. The pre-driver stage circuitry is configured to output a second data signal according to a first data signal. The post-driver stage circuitry is configured to output a third data signal according to the second data signal. The resistance adjustment circuits are configured to provide a first variable resistor and a second variable resistor, and transmit a first power supply voltage and a second power supply voltage to at least one of the pre-driver stage circuitry or the post-driver stage circuitry, in order to adjust a slew rate of the third data signal.

Abstract: A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: monitoring an interaction of a user with a data center monitoring and management console when configurating an aspect of data center infrastructure, the configuring being performed via a plurality of application program interfaces; analyzing the plurality of application program interfaces used when configuring the aspect of data center infrastructure; and, generating a customer specific application program interface based upon the analyzing.

Abstract: In an embodiment a method includes transmitting a signal train through a medium, wherein the signal train includes a sequence of waves of a first group and of a second group, the first and second groups being shifted in a time domain according to a predetermined phase shift, receiving the signal train as a received signal train and as a function of time, detecting a phase shift in the received signal train, assigning wave periods of the received signal train to respective wave periods of the first group using the detected phase shift as reference and determining a sequence of time-of-flight signals from the sequence of waves of the first group and the assigned wave periods of the received signal train, respectively.

Abstract: A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

Abstract: Described herein is a system and method for determining whether a detected issue in a computing system is a bug introduced by a developer or an intermittent issue. When an issue is detected, information about the issue is received. A determination is then made as to whether the issue is a new issue or whether it has been previously detected. When it is determined that the issue is a new issue, information about the issue is stored in a storage device. A feature vector is generated for the issue and is analyzed to determine a probability that the issue is a bug. When it is determined that the issue is a bug, the occurrence of the issue is reported to a user of the system that can correct the bug. Once the bug is corrected, the correction is provided back to the system and is used to train the system.

Abstract: A method of minimizing components of a heating, ventilation, and air conditioning (HVAC) system from malfunctioning, the method includes measuring, by an accelerometer associated with at least one component of the HVAC system, vibration of the at least one component and receiving, by a controller, actual vibration data reflective of the measured vibration. The method further includes determining, using the controller, whether the actual vibration data is greater than pre-defined acceptable baseline vibration data by more than a pre-defined acceptable amount and responsive to a positive determination in the determining step, adding, by the controller, as a deadband frequency, an operational frequency of the at least one component corresponding to the actual vibration data.

Abstract: Provided are a diagnosing device, a diagnosing method, and a program with which it is possible to detect abnormalities accurately even if there is a small amount of data or the number of data points varies. This diagnosing device is provided with a Mahalanobis distance calculating unit which calculates the Mahalanobis distance (referred to as ‘MD value’ hereinbelow) of a detected value, and an abnormality determining unit which determines the presence or absence of an abnormality on the basis of the MD value, wherein the abnormality determining unit determines the presence or absence of an abnormality by arranging that a determination that there is no abnormality is more likely to occur if the number of samples per unit space is small than if the number of samples per unit space is large.

Abstract: Methods and systems for a networked storage system are provided. One method includes receiving a resource identifier identifying a resource of a network storage environment as an input to a processor executable application programming interface (API); and predicting available performance capacity of the resource by using an optimum utilization of the resource, a current utilization and a predicted utilization based on impact of a workload change at the resource, where the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency in processing the workload.

Abstract: Event loading is individually tracked for each of the segments of a stream. Event loading trends of each of the segments of the stream based on event loading changes are identified and reported. Selected segments are automatically scaled-up or scaled-down based on the event loading trends. Individual segment event loading is measured by computing an exponential weighted moving average of data, measured either in events or bytes, received per fixed interval of time. Exponential functions are used to assign exponentially decreasing weights over time. Multiple different running averages are computed for different time intervals, each with a different weight that represents a decay factor.

Abstract: Examples described herein provide a downhole sampling method that includes receiving fluid data from a fluid downhole in a wellbore operation. The method further includes defining a subset of the fluid data and a remaining subset of the fluid data. The method further includes iteratively generating, by a processing device, a plurality of curves fit to the subset of the fluid data. The method further includes performing, by the processing device, a validation on the plurality of curves as applied to the remaining subset of the fluid data to determine one or more best fit curves from the plurality of curves.

Abstract: Flaws in dependencies of deployed applications are identified. In one embodiment, a list of dependencies used by a deployed application that is deployed on the deployment platform is obtained. Each dependency of the list of dependencies is mapped with a flaws database, wherein the flaws database comprising an indication of known flaws for different dependencies and different versions thereof. Based on such mapping, one or more flaws in the deployed application are determined. The determination is performed externally to the deployment platform and without executing a monitoring process thereon.

Abstract: Technology for computerized anomaly detection, where the machine logic (for example, software) utilizes a multi-layer anomaly detection method that may include three (3) layers: (a) a baseline model for each feature at a single point, (b) a dynamic time window for historical data, and/or (c) correlation analysis for different model features.

Abstract: A method for detecting at least one machine defect provides defining from the machine kinematic data at least one condition indicator reflecting its condition, recording operating condition data of the machine and condition monitoring data of the machine during a predetermined period when the machine is operating normally, determining condition indicator values using condition monitoring data, and for determining current condition indicator values from the at least one condition indicator and the current condition monitoring data, a machine learning algorithm, predicting condition indicator values with respect to the current operating condition data, training the machine learning algorithm to establish a relation between the operating condition data and condition indicator values, and comparing the current condition indicator values and the predicted condition indicator values, and for determining if the machine is presumed to operate normally or not according to the result of the comparison.

Abstract: Described herein is a system and method for determining whether a detected issue in a computing system is a bug introduced by a developer or an intermittent issue. When an issue is detected, information about the issue is received. A determination is then made as to whether the issue is a new issue or whether it has been previously detected. When it is determined that the issue is a new issue, information about the issue is stored in a storage device. A feature vector is generated for the issue and is analyzed to determine a probability that the issue is a bug. When it is determined that the issue is a bug, the occurrence of the issue is reported to a user of the system that can correct the bug. Once the bug is corrected, the correction is provided back to the system and is used to train the system.

Abstract: Simulated wells may be selected from a subsurface representation to serve as representation of the corresponding simulated subsurface region. Spatial coverage of a simulated well for the simulated subsurface region may be determined based on extent of similarity between the simulated well and other simulated wells in the subsurface representation. The simulated wells may be selected to achieve desired spatial coverage for the simulated subsurface region and to achieve desired representation of properties of interest for the simulated subsurface region.

Abstract: Provided in this disclosure are systems and methods for determining a confidence level of a sensor measurement of a sensor. A system may include a sensor array, which includes a plurality of sensors configured to detect a physical phenomenon. Each sensor of the sensor array may generate an output signal that includes measurement datum related to the detected physical phenomenon, which may be received by a controller of the system. Controller may compare the measurement datum from a selected sensor to other sensors of the sensor array to determine the confidence level of the selected sensor.

Abstract: A method for generating and evaluating N-to-1 mappings between spatial point sets in nD, n=2 or 3, implemented on a computing device comprising a programmable general purpose processor and a programmable data-parallel coprocessor and a memory coupled with them.

Abstract: A particle detection device includes: a first light source to emit first irradiation light; a first light-collection member; a second light-collection member facing the first reflection surface; a second light source to emit second irradiation light; and a first light-reception element. When the first light source emits the first irradiation light, the first light-reception element detects, as the first incident light, scattered light generated when a particle existing at a detection position in a target space is irradiated with the first irradiation light. When the second light source emits the second irradiation light, the first light-reception element detects, as the first incident light, a light ray of the second irradiation light that is reflected by the first reflection surface and a light ray of the second irradiation light that is reflected by both the first reflection surface and the second reflection surface.

Abstract: Magnetic field measurement by a set of magnetometers which are linked to a same moveable support and which have different orientations of eigendirections with respect to this support A processor determines, during a measurement in a given position and orientation of the support and of the set of magnetometers, for each magnetometer, of the orientation deviation between the eigendirections of the magnetometer and a candidate magnetic field, the magnetometer for which this deviation is minimal, the magnetic field measured by this sensor being selected as the magnetic field measured by the set of magnetometers. The magnetometers are distributed in space in order to cover a maximum of different orientations.

Abstract: The disclosure relates to a method for operating a medical device, (e.g., an imaging apparatus such as an X-ray device or magnetic resonance tomography unit), and a fault monitoring apparatus for carrying out the method. The fault monitoring apparatus is connected to the medical device via a signal connection. In the method, the fault monitoring apparatus receives an item of status information from the medical device and stores the item of status information in a system state. Further, the fault monitoring apparatus compares the stored system state with a predetermined target state, and, depending on the comparison, releases a function of the medical device, wherein the predetermined target state has a successfully executed function test.

Abstract: Disclosed herein are systems and methods for categorizing an application on a computing device including gathering a set of attributes of an application. The set of attributes of the application includes at least one of: a number of files in an application package of the application; a number of executable files in the application package; numbers and types of permissions being requested; a number of classes in the executable files in the application package; and a number of methods in the executable files in the application package. sending the gathered set of attributes to a trained classification model. The application is classified, using the classification model, based on the gathered set of attributes by generating one or more probabilities of the application belonging to respective one or more categories of applications. A category of the application is determined based on the generated one or more probabilities.

Abstract: Systems and methods involving quantum machines, hybrid quantum machines, aspects of quantum information technology and/or other features are disclosed. In one exemplary implementation, a system is provided comprising a quantum register that stores quantum information using qubits, wherein the qubits are configured to store the quantum information using particles or objects arranged in a lattice of quantum gates, a clock that provides a clock cycle to the quantum register, and a qubit-tie computing component coupled to the quantum register, wherein the qubit-tie computing component is configured to shift the quantum information between the qubits, wherein the system stores the qubits in different states using physical qualities, which may define qubits that are configured to be entangled and superposed at a same time. Further, the quantum register may comprise an entanglement component, and/or the qubit-tie computing component may comprise a superposition component.

Abstract: A system is described for calculating and outputting micro invisible lost time (MILT). The system may include a processor and a non-transitory computer-readable medium comprising instructions that are executable by the processor to cause the processor to perform various operations. Time-stamp data that includes values of drilling parameters may be received about a drilling operation, and the values of drilling parameters may be classified into a rig state that includes rig activities. For each rig activity, an actual completion time may be determined and compared to an expected completion time for determining a deviation. At least one deviated activity, in which the deviation is greater than a threshold, may be determined. Deviations may be combined into MILT that can be output for controlling the drilling operation.

Abstract: Pattern centric process control is disclosed. A layout of a semiconductor chip is decomposed into a plurality of intended circuit layout patterns. For the plurality of intended circuit layout patterns, a corresponding plurality of sets of fabrication risk assessments corresponding to respective ones of a plurality of sources is determined. Determining a set of fabrication risk assessments for an intended circuit layout pattern comprises determining fabrication risk assessments based at least in part on: simulation of the intended circuit layout pattern, statistical analysis of the intended circuit layout pattern, and evaluation of empirical data associated with a printed circuit layout pattern. A scoring formula is applied based at least in part on the sets of fabrication risk assessments to obtain a plurality of overall fabrication risk assessments for respective ones of the plurality of intended circuit layout patterns.

Abstract: Embodiments of the disclosure provide a system and method for determining a trajectory of a subject. The method can include acquiring motion data of the subject to which the mobile device is attached; determining a motion status of the subject based on the motion data; and determining the trajectory based on the motion data using a trajectory model corresponding to the motion status.

Abstract: An array (map) of intrinsic images of an image of interest is established by selecting the intensities of a focused and defocused/diffused images of the image of interest. After obtaining a first focused image, a series of defocused/diffused images are obtained at different exposure times, where intrinsic images are obtained from the first focused image and the series of defocused/diffused images in order to form an array of image sets of the intrinsic images in the form of a matrix. In addition, a second focused image can be obtained at a different exposure time than the first focused image, and a second series defocused/diffused images are obtained at different exposure times, where second intrinsic images are obtained from the second focused image and the second series of defocused/diffused images in order to form an array of image sets of the intrinsic images and the second intrinsic images in the form of a matrix.

Abstract: A network monitoring method includes: monitoring, at a network node, one or more network statistics for each of one or more objects exchanged between a client end point and a server end point through a network connection, the network node being located between the client end point and the server end point; and determining one or more QoS metrics for each of the one or more objects based on the network statistics for respective one of the one or more objects.