133 results about "Quality measurement" patented technology

To provide a solution for the control of QoE measurement in exemplary embodiments of the present disclosure.SOLUTION: Embodiments of the present disclosure relate to a communication method, a device, and a computer-readable storage medium. The method performed in a first device includes obtaining first periodicity information indicating a first periodicity. The first periodicity is used by a second device to perform quality of experience measurement. The method further includes determining a second periodicity used by an AS of the second device to report one or more measurement results of the QoE measurement. The method also includes transmitting second periodicity information indicating the second periodicity to the second device. In this manner, the first device can be involved in a QoE measurement configuration and maintenance procedure. More specifically, the first device can control an interval at which the QoE measurement results are reported.SELECTED DRAWING: Figure 5

The invention discloses a software quality evaluation method based on dependency chain quality conduction, relates to the technical field of software quality evaluation, and is used for solving the problem that quality conduction between software is difficult to quantify. According to the method, the dependency chain graph covering the component dependency relationship, the version pedigree and the quality index is constructed, the evidence reliability label and the license list are combined, the target component and the conduction path which do not meet the quality evaluation threshold value are accurately recognized, the semantic mapping of the target component and the business function domain is constructed, and in the path conduction analysis stage, the quality of the target component is analyzed. A constraint propagation and causal checking mechanism is introduced, influence is transmitted layer by layer, a real path and an interference path are automatically identified, a comprehensive quality measurement item and a quality grade label of a target component are generated, when evaluation is not met, an upgrading, replacing, isolating or rollback scheme is automatically constructed, compatibility, time window and test influence of the scheme are evaluated, and a test result is obtained. And a closed-loop repair path and a treatment guide are output, so that the response efficiency and decision-making reasonability of the software quality problem are improved.

The invention provides an extra-high voltage data fusion analysis method and system, and relates to the technical field of data fusion analysis, and the method comprises the steps: deploying a sensor and a collection terminal, carrying out the data collection, carrying out the unified time calibration and quality measurement based on the collected data, carrying out the channel credibility initial value calculation, and carrying out the degradation strategy, and performing node power balance residual verification, traveling wave arrival time difference residual verification and thermoelectric consistency residual verification on the basis of a data acquisition result, performing online credibility updating on the basis of a thermoelectric consistency residual verification result, setting a participation weight interval on the basis of an online credibility updating result, and generating a physical consistency verification code. By deploying multiple types of acquisition terminals in an extra-high voltage transformer substation and a power transmission line channel and based on a unified time synchronization calibration, quality measurement and channel credibility calculation mechanism, the accuracy and timeliness of data acquisition can be ensured, and particularly, a channel credibility initial value is generated through weighted calculation of a time synchronization deviation, a packet loss rate and a signal-to-noise ratio.

A method is performed by a user equipment, UE, in a wireless communication network, the method comprises receiving (302) a measurement configuration for performing quality of experience, QoE, measurements, wherein the configuration comprises a measurement criterion for performing the QoE measurements. The method comprises initiating (304) a QoE measurement session to perform the QoE measurements in accordance with the measurement configuration. The method comprises determining (306) during the QoE measurement session that the criterion has become unfulfilled; continuing (308) to perform the QoE measurements while the measurement criterion is unfulfilled. The method comprises generating (310) a QoE report including the measurements taken while the measurement criterion was unfulfilled. The method comprises providing (312) the QoE report to a network node. The method comprises providing (314) an indication to the network node that the QoE report includes measurements taken while the measurement criterion was unfulfilled.

Provided is an information transmission method. The information transmission method includes: receiving specified configuration information; and determining a load state of a terminal according to at least one terminal running indicator carried in the specified configuration information. A transmission method for a quality of experience measurement report, a caching method for a quality of experience measurement report, an electronic device, and a computer-readable medium are further provided.

There is provided systems and methods for estimating quality of experience, QoE, for a media stream. The systems and methods comprise receiving a first window of frames of the media stream, receiving a second window of frames of the media stream, measuring a plurality of metrics relating to the first and the second windows of frames, aggregating the plurality of metrics for each window of frames, and determining a window quality of experience value based on the aggregated plurality of metrics.

The present disclosure relates to a method, an apparatus, and a computer program for reducing a quality deviation between image frames and, more particularly, to a method, an apparatus, and a computer program for reducing a quality deviation between image frames in constant bit rate (CRB) encoding. A method for reducing a quality deviation between image frames, the method comprising: generating a frame-quality measurement value graph by calculating a quality measurement value between an original image frame and an encoded frame; measuring similarity between the frame-quality measurement value graph and a preset problem pattern graph; and changing an encoding setting value when the similarity is a first threshold value or greater.

Embodiments of this application provide a method for measuring signal quality of a cell, and a related apparatus. The method includes: receiving a measurement configuration from a network device, where the measurement configuration includes a trigger beam quantity, and the trigger beam quantity is a beam quantity threshold that triggers generation of a cell measurement result; determining that a quantity of detected beams is greater than or equal to the trigger beam quantity, where the detected beams belong to one or more cells; and obtaining a cell measurement result for the one or more cells based on signal quality of the detected beams. According to embodiments of this application, a frequency of reporting a measurement report can be decreased, reducing communication overheads.

The utility model discloses a testing device for testing the flow coefficient of a flow regulating valve. The testing device comprises a water tank; the flow regulating valve is arranged on the main pipeline; the differential pressure sensor is connected to the main pipeline on the two sides of the flow regulating valve; the pressure difference regulating valve is arranged on the main pipeline; the pneumatic three-way valve is arranged on the main pipeline, an inlet of the pneumatic three-way valve is connected to an outlet of the differential pressure regulating valve, and a first outlet of the pneumatic three-way valve is connected to an inlet of the water tank; the container is connected with a second outlet of the pneumatic three-way valve; and the mass meter is used for measuring the mass of the container. According to the device, a weighing method is adopted for flow measurement, a PLC system is combined for control and data collection, operation of a three-way valve and an auxiliary pump and the rotating speed of the pump are controlled, and signals of a high-precision electronic balance and differential pressure signals of a differential pressure transmitter are collected, so that accurate evaluation of the micro flow regulating valve is achieved.

A vehicle includes a system and method of monitoring a condition of brake fluid. The system includes a first sensor configured to measure a fluid level of the brake fluid within a reservoir, a second sensor configured to measure a concentration of the brake fluid, a third sensor configured to measure a temperature of the brake fluid, and a processor. The processor is configured to estimate the condition of the brake fluid from the fluid level, the concentration, and the temperature and send a signal to a display indicating the condition of the brake fluid.

Livestock animal assessment models may be trained using ultrasound images of livestock animals taken over their lifespan and quality measurements of the same livestock animals taken after slaughter that provide quantitate indications of meat quality and / or tenderness. Once generated and / or trained, the livestock animal assessment models may be used to predict livestock quality and / or value during lifespan using ultrasound images of animal tissue and / or other pre-slaughter measurements.

Embodiments of the present application relate to a method and apparatus of supporting quality of experience (QoE) measurement collection. An exemplary method, e.g., performed by UE may include: receiving QoE measurement configuration information for a QoE measurement, wherein, the QoE measurement is configured by a master node (MN) and a reporting leg for QoE measurement report of the QoE measurement is configured to be a secondary cell group (SCG), or the QoE measurement is configured by a secondary node (SN) and a reporting leg for QoE measurement report of the QoE measurement is configured to be a master cell group (MCG) or SCG; and determining operations on the QoE measurement in response to the SCG being determined to be unavailable.

The application discloses a software quality evaluation method based on a dependency chain quality conduction, relates to the technical field of software quality evaluation, and is used for solving the problem that quality conduction between software is difficult to quantify; the application constructs a dependency chain graph covering the dependency relationship of a component, a version pedigree and a quality index, combines evidence reliability labels and license lists, accurately identifies target components and conduction paths that do not meet a quality evaluation threshold, and constructs semantic mapping of the target components and a business function domain; in a path conduction analysis stage, a constraint propagation and a causal checking mechanism are introduced, influences are transmitted layer by layer, real paths and interference paths are automatically identified, a comprehensive quality measurement item and a quality level label of the target components are generated, when the evaluation does not meet the requirement, an upgrade, replacement, isolation or rollback scheme is automatically constructed, compatibility, a time window and test influence are evaluated, a closed-loop repair path and disposal guidance are output, and the response efficiency and decision rationality of software quality problems are improved.

Provided is an information transmission method. The information transmission method includes: receiving specified configuration information; and determining a load state of a terminal according to at least one terminal running indicator carried in the specified configuration information. A transmission method for a quality of experience measurement report, a caching method for a quality of experience measurement report, an electronic device, and a computer-readable medium are further provided.

The invention is related to an artificial intelligence-enabled system optimizing the delivery frequency and quantity of a sample required for quality tests on the basis of a product (U) and factory (F) by analyzing the quality measurement data and quality test result data collected from the quality unit (K) and R&D units (A) in factories (F).

The utility model relates to the technical field of mass measurement, and discloses a weight loading mechanism and a mass comparator, and the weight loading mechanism is arranged on the mass comparator to adjust the load distribution at the two ends of a balance beam so as to expand the measurement range. The weight loading mechanism comprises a plurality of counterweights which can be used independently or in a combined mode, at least two butt joint parts and a loading assembly. The butt joint parts are arranged at the first end and the second end of the balance beam respectively and used for being in butt joint with the corresponding counterweights. The loading assembly comprises a driving mechanism and a stowage piece, and the stowage piece is connected with the driving mechanism in a matched mode and can drive the corresponding balance weights to move. When the driving mechanism operates, the stowage piece can load part or all of the counterweights to the two ends of the balance beam or unload the counterweights from the two ends of the balance beam so as to dynamically adjust load distribution, so that the mass comparator can adapt to measurement requirements of different mass ranges, and the measurement stability and precision are improved.

Embodiments of this application disclose a measurement data management method and system, and a related device. The method includes: determining a quality of experience QoE measurement policy; and sending the QoE measurement policy to a second network management node, where the QoE measurement policy is used by a base station under the second network management node to perform a QoE measurement task. In embodiments of this application, a first network management node may send the QoE measurement policy to the base station through the second network management node, and the base station sends the QoE measurement policy to UE, to indicate the UE to manage a QoE measurement report based on the QoE measurement policy. This can ensure integrity of the QoE measurement report reported by the UE.

A computer-implemented method for training a machine learning model for approximating a labeling function comprising a variational quantum circuit, said method comprising establishing the variational quantum circuit, the variational quantum circuit comprising a plurality of variational quantum gates, and a plurality of encoding gates; executing the variational quantum circuit for a plurality of sample inputs; determining a candidate output for each sample input; determining a quality measure of the candidate outputs for the plurality of sample inputs in view of the labeling function to be approximated by the machine learning model; determining an entropy measure of the candidate outputs determined for each of the sample inputs; and updating the variational parameters based on an update function, the update function including a quality-based loss term based on the quality measure and an entropy-based loss term penalizing excess information on the input data encoded in the candidate output through the entropy measure.

The invention provides a user action and video frame mapping-based real-time quality measurement method, which comprises the following steps of: receiving an action instruction which is executed by a user at a client and is related to updating a rendered picture when a server provides a video frame rendering service for the user; defining a video frame which is driven and coded by the action instruction as an action frame; quality information related to user experience and corresponding to the video frames is monitored, an action state mark and quality information of each video frame are stored in a database in an associated mode according to the granularity of the frame, and the action state mark indicates whether the video frame is an action frame or a non-action frame; according to the technical scheme, a frame-level quality measurement mode is constructed, and an association mechanism of quality information related to the user action state and the user experience of each frame is established and stored in a database; therefore, the technical defect that the QoE difference of the user in the specific interactive action stage cannot be captured in real time in the prior art is effectively overcome, and key data support is provided for subsequent targeted optimization.

The present disclosure relates to an apparatus and a method for measuring data quality capable of measuring data quality on the basis of a quality grade for each main attribute in metadata. The apparatus comprises: a communication unit communicatively connected to a plurality of clients; a storage unit for storing data obtained from the clients; and a data management control unit for measuring the quality of the data and managing the data, wherein the data management control unit establishes an index for each quality measurement item for each data when the data is acquired, matches the data for which the index is established, assigns a quality score to each index for each quality measurement item of the data, determines a quality grade of the data on the basis of the quality score, and classifies and manages the data according to quality grades.

A method includes insonifying, using at least one transducer, a vessel using first ultrasound energy of a first frequency, receiving, using the at least one transducer, a first analogue signal obtained using the first ultrasound energy, determining, using processing circuitry, a first material property of the vessel based on a first frequency response signature of the first analogue signal, insonifying, using the at least one transducer, a fluid in the vessel using second ultrasound energy of a second frequency lower than the first frequency, the second ultrasound energy creating cavitation of bubbles in the fluid to be measured, receiving a second analogue signal obtained using the second ultrasound energy and energy created by the cavitation of the bubbles in the fluid, and identifying a second material property of the fluid based on the first material property and a second frequency response signature of the second analogue signal.

A transmission apparatus repeatedly inserts reference signal sequences into a transmission signal sequence at different timings, and converts the transmission signal sequence, into which the reference signal sequences are inserted, into an optical signal. The reception apparatus includes a detection unit, a waveform equalization unit, and a signal quality measurement unit. The detection unit receives the optical signal transmitted through an optical transmission line, and converts the received optical signal into a reception signal of an electrical signal. The waveform equalization unit performs waveform equalization on the reception signal converted into the electrical signal. The signal quality calculation unit extracts a reception signal sequence set in each section corresponding to the reference signal sequence from the received signal on which waveform equalization performed. For each combination of different sections, the signal quality calculation unit calculates a mean square error between the mean of the reception signal sequences set in the sections included in a combination and the reference signal sequence, and calculates a signal-to-noise ratio and a signal-to-distortion ratio of the reception signal using the mean square error calculated for each combination.

The invention discloses a software quality dynamic measurement and uncertainty quantification method based on a Bayesian-KAN-ODE series architecture, and belongs to the technical field of software quality metrics, and the method comprises the following steps: carrying out dimensionless processing on a quality index of software to be evaluated, and determining an initial weight; inputting the processed data into a Kolmogorov-Arnold network, extracting quality features by using a learnable spline function of the Kolmogorov-Arnold network, and deducing the uncertainty of a quantization parameter based on variation; inputting the initial weight and the extracted features into an ordinary differential equation model, and solving an ordinary differential equation to realize continuous time dynamic evolution of the weight; and finally, constructing a series architecture, and generating software quality prediction distribution containing a prediction mean value and a confidence interval through Monte Carlo sampling. According to the method, the defects of a traditional method in coping with parameter uncertainty, time evolution uncertainty and a complex nonlinear relation are overcome, and the dynamic property, robustness and interpretability of measurement are improved.

Embodiments herein relate to QoS measurement. Some embodiments propose a method (700) performed by a first network function (212) implementing a Service Realization Architecture Layer (SEAL) Data Delivery (DD) server. In one embodiment, the method may include a step (S701) of sending a subscription message to a Vertical Application Layer (VAL) User Equipment (UE) (201) to request a report of transmission quality measurements for VAL UE (201) traffic, the VAL UE (201) including a first functional component (222) implementing a SEAL DD client. In one embodiment, the method may further include a step (S703) of receiving a notification message from the VAL UE (201) to provide a report of multiple measurement results of the transmission quality measurements. Embodiments herein may enable a SEAL DD client to support data transmission quality measurement requirements and a SEAL DD client configured to initiate a data transmission quality measurement procedure.

The invention relates to the technical field of fixed pipe quality measuring instruments, and provides a fixed pipe quality measuring instrument which comprises a moving seat and further comprises a supporting column, a moving shell, a first moving mechanism, a roughness detecting mechanism and a positioning adjusting mechanism, a supporting groove is formed in the side wall of the moving seat, the supporting column is arranged on one side of the moving seat, and the moving shell is arranged in the supporting groove. The supporting column extends into the supporting groove and is rotationally connected with the side wall of the supporting groove, a first moving groove is formed in the side wall of the supporting column, the moving shell is slidably arranged in the first moving groove, and the first moving mechanism is arranged between the supporting column and the moving shell and used for adjusting the position of the moving shell in the first moving groove. The roughness detection mechanism is arranged on the first moving mechanism and used for detecting the roughness of the inner wall of the pipeline, and through the technical scheme, the technical problem that in the prior art, a diamond probe cannot conveniently detect fixed pipes of different specifications is solved.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may perform, while operating in a connected state, a first set of quality of experience (QoE) measurements in accordance with a first QoE measurement and reporting configuration associated with the connected state. The UE may then transition from the connected state to one of an idle state or an inactive state. The UE may then perform, while operating in the idle state or the inactive state, a second set of QoE measurements in accordance with a second QoE measurement and reporting configuration associated with the idle state, the inactive state, or both, where the second QoE measurement and reporting configuration is different from the first QoE measurement and reporting configuration. The UE may then transmit, to a network entity, a QoE report including at least the second set of QoE measurements.

The invention relates to a structure-semantic double-graph collaborative SAR image quality evaluation method, which comprises the following steps of separating an SAR image, and constructing a double-channel quality measurement set for independent modeling; indexes are obtained, correlation calculation is carried out, an index map is constructed, and each node corresponds to one index; on the basis of the index map, the dependency relationship between indexes is calculated from the structure dimension and the semantic dimension through self-supervised learning, the dependency relationship of the two dimensions is integrated, and an image level score based on the integration result is output; and constructing a measurement index shared with system analysis and a measurement index special for information retrieval, and carrying out quality measurement evaluation: after extracting a structure sub-graph, integrating an IR special index which is not contained in SAR prior into a global graph. The method is superior to a reference model in the aspects of recognition accuracy, recall rate, precision and efficiency, and a solution with high universality and good interpretability is provided for cross-modal image quality evaluation.

Method for the automated optimization of a quality profile (1) of a paper, cardboard or fiber web (web) (2), comprising a quality measurement system (3), an actuator system (5) and a control system (8), wherein the following steps are performed: • wherein a maximum value is controlled for at least one actuator (6), wherein the effectiveness of the order is determined at the maximum value using the quality measurement system (3), • the actuator (6) is controlled stepwise to the minimum value, whereby the effectiveness of the order is determined for each step using the quality measurement system (3), • a characteristic curve (12) for the actuator (6) is calculated, which is used by means of the control system (8) to achieve the required quality profile (1) of the track (2). Furthermore, the invention relates to a profiling system.

The invention discloses a maintenance method and system of a lubrication system and a computer program product in the technical field of lubrication system maintenance, and aims to solve the technical problems that the lubrication system is lack of automation in maintenance and the internal running state is relatively complicated to check. The method comprises the steps that data of various sensors are fused, automatic early warning and automatic lubricating oil filling are achieved, and the convenience of checking the internal running state of a lubricating system is improved; besides, the method further follows the priority principle of'lubricating oil quality > lubricating oil liquid level > lubricating oil filtering component performance ', the quality measurement value directly influencing the safety of the engineering equipment is taken as the first position, and visual early warning can be performed once the quality measurement value exceeds a qualified interval; secondly, the first liquid level value is related to the use duration of engineering equipment, and automatic filling is conducted when stored lubricating oil is sufficient; finally, determining whether the engineering equipment needs to be shut down for maintenance or not by analyzing the pressure difference value of the two sides of the filter membrane of the lubricating oil filtering component.