181 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

Embodiments of the present disclosure relate to a method, device and computer readable storage medium of communication. The method implemented at a first device comprises: obtaining first periodicity information indicating a first periodicity. The first periodicity is used by a second device to perform a quality of experience measurement. The method further comprises determining a second periodicity to be used by an AS of the second device to report one or more measurement results of the QoE measurement. The method further also comprises transmitting second periodicity information indicating the second periodicity to the second device. In this way, the first device may be involved in the procedure of configuration and maintaining the QoE measurement. More specifically, the first device may control the interval for reporting QoE measurement results.

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 discloses a method and an apparatus in a node used for wireless communication. The first node receives the reference information block and the first information block; wherein the reference information block is used for determining a first RS resource set for wireless link quality measurement, and the first RS resource set comprises at least one RS resource; the first information block is used for determining a reference time domain resource set, and the reference time domain resource set depends on sensing; the first RS resource is one RS resource in the first RS resource set, and the transmission opportunity of the first RS resource used for wireless link quality measurement is orthogonal to the reference time domain resource set in the time domain. According to the method, the transmission opportunity of the RS resource for wireless link quality measurement can be determined, the method is suitable for a scene with integration of communication and perception, and the flexibility of the system is 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.

The invention provides a beam management method based on digital twinning, which comprises the following steps: in a QoS (Quality of Service) reporting period, reporting measurement quality and QoS requirements of all beams to a base station at a user side as reporting data; the reported data is fed back to a digital twin network DTN through the base station; inputting the reported data into a beam measurement sampling rate prediction model for reasoning through the DTN, determining a beam measurement sampling rate and a corresponding beam prediction model, issuing the beam measurement sampling rate and the corresponding beam prediction model to a base station, and issuing the beam measurement sampling rate and the corresponding beam prediction model to a user side by the base station; carrying out quality measurement on the corresponding beam on the basis of the beam measurement sampling rate at the user side, and carrying out beam prediction on the user side or the base station by using a beam prediction model on the basis of the beam measurement quality to obtain a plurality of beams with optimal measurement quality; and integrating the optimal measurement quality beams reported by all base station service clients through the base station, selecting the optimal beam by using the current resource scheduling algorithm, and indicating the optimal beam to the clients. By adopting the scheme, the beam measurement mode can be flexibly adapted according to customer requirements.

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.

The invention relates to the technical field of quality measurement, in particular to a low-illumination video quality measurement system based on deep learning. The system comprises a low-illumination video frame processing module, a video quality dimension measurement labeling module, a video quality model prediction module and a prediction error loss optimization module, and can utilize video acquisition equipment to acquire corresponding low-illumination video data in real time and perform video frame processing. Carrying out video index measurement and quality dimension measurement labeling at the same time to obtain a low-illumination video quality labeling score; constructing a video quality measurement model architecture by using a convolutional neural network, and carrying out model training optimization and quality weighted summation to obtain a low-illumination video quality prediction score; and error loss reinforcement learning and video quality evaluation measurement are carried out based on the low-illumination video quality annotation score and the low-illumination video quality prediction score so as to output a corresponding low-illumination video quality comprehensive measurement score. According to the invention, accurate evaluation and measurement of the low-illumination video quality can be realized.

The embodiment of the invention relates to a method and equipment for supporting quality of experience (QoE) measurement collection. An exemplary method performed, for example, by a UE, may include receiving QoE measurement configuration information for a QoE measurement, where the QoE measurement is configured by a master node (MN) and a reporting branch of a QoE measurement report for the QoE measurement is configured as a secondary cell group (SCG), or the QoE measurement is configured by a secondary node (SN) and a reporting branch of a QoE measurement report for the QoE measurement is configured as a primary cell group (MCG) or SCG; and determining an operation with respect to the QoE measurement in response to the SCG being determined to be unavailable.

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 invention provides a signal quality measuring device and a signal quality measuring method. The signal quality measuring device comprises a processing circuit and a signal quality measuring circuit. The processing circuit receives a reference signal from a first circuit, receives a signal to be measured from a second circuit, and obtains a processed signal from the signal to be measured by referring to the reference signal, and the signal to be measured is obtained by processing a predetermined signal of the reference signal. The signal quality measuring circuit calculates a signal quality value according to the reference signal and the processed signal.

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.

A radio base station RBS (10) of a wireless communication network indicates to a wireless device (14, 18, 20) where in the time domain and / or frequency domain to perform radio quality measurements. If the RBS (10) determines that one or more wireless devices (14, 18, 20) (including those that are idle) are at risk of performing degraded quality measurements, it suppresses scheduling beamformed downlink data in the time / frequency region where the wireless device (14, 18, 20) performs quality measurements when a reference signal (e.g., a cell-specific reference signal or CRS) is broadcast. This avoids RSRQ degradation due to beamforming gain and allows existing legacy functions that rely on RSRQ to continue to operate as originally planned. The restriction applies only to beamformed data - the transmission of non-beamformed data in the relevant bandwidth is already taken into account when using RSRQ measurements.

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.

Method for evaluating the optical appearance of a driving route (28, 29, 30), wherein - from at least one motor vehicle (3) that is driving or has driven on the route (28, 29, 30), video data (6) containing an image sequence (13) of the route (28, 29, 30) which is transmitted to a computing device (4) via a respective communication link (7) and received - by an analysis device (12) on the basis of the video data (6) to images (14) of the image sequence (13) a correspondence value (15) concerning a degree of correspondence of the image (14) with a predetermined attractiveness criterion is determined and - the agreement values ​​(15) of the images (14) are combined to form an evaluation signal (10) for the image sequence (13) and - the evaluation signal (10) is provided as a description of the appearance of the route (28, 29, 30) and - a maximum range (16) of the evaluation signal (10) is detected in which at least one of the agreement values ​​(15) of the evaluation signal (10) is greater than a predetermined threshold (17), and - from the image sequence (13) at least one image (14) corresponding to the maximum range (16) of the image sequence (13) is determined and output, and - for each of the images (14) of the image sequence (13) a quality value (18) of an optical quality of the image (14) is generated based on a predetermined quality measure, wherein the quality measure specifies a signal-to-noise ratio and / or an image sharpness, and - the quality values ​​(18) are combined to form a quality signal (11) and - that at least one corresponding image (14) is determined from the maximum range (16) depending on the quality signal (11) and wherein - a playback duration of that part of the image sequence (13) for which the evaluation signal (10) has the maximum range (16) is determined and - depending on the playback duration either a video signal or only a single image (14) is output, whereby - for a route evaluation, each evaluation signal (10) is summarized by forming a mean value to obtain a single overall value (31) in order to obtain a compact statement about a journey route, and - the total value (31) for a journey and the extracted images are provided by the computing device (4) and - a navigation system (21) of a vehicle (5) and the computing unit (4) establish a communication link (22) and - the vehicle (5) obtains the extracted images and total values ​​from the computing unit (4) and graphically returns them to the driver as a route preview and route evaluation.

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.