83 results about "Quality measurement" patented technology

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 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.

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.

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.

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.

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.

A heated drying type moisture meter capable of diagnosing the state of the device also considering factors other than the quality measuring section is provided. The moisture meter (100) comprises: a quality measuring section (2) that measures the quality of a test material; a heating section (3) that heats the test material; a control operation section (5) that controls the heating section (3) to heat until the quality change of the test material becomes below a prescribed threshold value, and calculates the moisture rate of the test material based on the quality change before and after heating; a clock (4) that measures the heating time; and a storage section (8); the control operation section (5) comprises: a standard material measuring section (52) that measures the moisture rate of a standard material for inspection as the test material, and measures the heating time; and an abnormality diagnosing section (53) that evaluates the measured moisture rate with reference to the theoretical moisture rate of the standard material, and diagnoses the presence or absence of an abnormality of the quality measuring section (2), and compares the measured heating time with a prescribed time stored in advance in the storage section (8) as a set heating time, and diagnoses the presence or absence of an abnormality of the heating section (3).

A learning method in which a learning device performs learning on a model for estimating wireless quality by machine learning, and the learning method includes a learning step of generating a pre-trained model by performing the learning on the model by using measurement data of wireless quality obtained by a plurality of terminals, and a retraining step of retraining the pre-trained model by using measurement data satisfying a predetermined condition.

The application discloses a kind of based on wind power equipment manufacturing process quality prediction method and system.Method includes: obtaining process parameter data, equipment state data and parts detection data and so on Multi-source heterogeneous data and pre-processing, construct multivariate quality characteristic data set;Using the method based on CCO-JMD-SE to feature decomposition, screening and reconstruction, extract key quality feature sequence;The hybrid quality prediction model combining bidirectional long short-term memory network and support vector machine is constructed, and the model hyperparameter is optimized and trained using particle swarm optimization algorithm;Real-time data are input into model to obtain quality prediction value, and the prediction value is mapped into assembly quality index by quality measurement method based on QLF-SNR, and the quality grade is determined according to grading threshold and the disposal strategy is triggered.The application realizes quality evaluation quantification, multi-source data deep fusion, prediction accuracy improvement and key process accurate control.

The application relates to the technical field of video networking and discloses a video networking data transmission link quality loss monitoring method, device and system. A monitoring terminal sends a detection instruction to a to-be-tested video networking terminal, the monitoring terminal receives a test video file fed back by each link node of the video networking terminal and a data transmission link corresponding to the video networking terminal, calculates a quality measurement value of each frame of image in a video of the corresponding link node according to the received test video file, calculates a video quality comprehensive evaluation score value of the corresponding link node according to the quality measurement value, and then takes a difference value of the video quality comprehensive evaluation score values between the link nodes as a transmission loss value between the corresponding link nodes, wherein the test video file is obtained according to video stream data obtained by the node and the detection instruction with the current node identifier added. The application realizes monitoring of the data transmission link quality loss of the video networking, and can provide reliable and intuitive reference basis for performance optimization of the video networking link.

The invention provides a quality measurement method, a model training method, electronic equipment, a storage medium and a program product. The method comprises: obtaining neutron counting data of a nuclear material to be measured within a first measurement duration, the first measurement duration being less than a second measurement duration, and the second measurement duration being a duration for performing neutron multiplex measurement on the nuclear material to be measured based on a preset mathematical model; based on the neutron counting data, a neural network model is used for conducting mass measurement on the to-be-measured nuclear material, a measurement result output by the neural network model is obtained, and the measurement result represents the mass of the to-be-measured nuclear material. By means of the scheme, the accuracy of nuclear material quality measurement can be improved under the condition that the measurement time of the to-be-measured nuclear material is shortened.

The application discloses an online control system and method for premix production quality, and relates to the technical field of premix production.The system comprises an information acquisition module, which acquires process parameters and environmental parameters of a premix production process; an environmental perception module, which performs spatial discretization processing on a production environment, constructs a spatial distribution model of the production environment, and identifies an environmental sensitive area; a judgment condition generation module, which dynamically adjusts a first quality judgment condition based on the environmental sensitive area, and generates a second quality judgment condition; a quality measurement and evaluation module, which acquires actual production quality index data, combines the second quality judgment condition, evaluates the production quality, and outputs a quality evaluation result; and a control module, which generates a process adjustment strategy for premix production based on the quality evaluation result, and adjusts process parameters. Through fine spatial perception and dynamic quality judgment on the production environment, the application improves the quality control precision and product stability of premix production.

The invention relates to the technical field of boron diffusion processes, solves the technical problem that in the prior art, a fine tuning direction is difficult to determine in a process parameter range and fine tuning is difficult to cause product quality reduction, and particularly relates to a boron diffusion process parameter regulation and control method based on multivariable coupling control. The method comprises the following steps: collecting multi-source data and quality measurement data in a boron diffusion process, completing data alignment and scene matching, carrying out preprocessing and dimension reduction on the multi-source data and the quality measurement data after data alignment and scene matching to obtain a dimension-reduced data set, and carrying out dimension reduction on the multi-source data and the quality measurement data based on the dimension-reduced data set. A multivariable coupling model is constructed for quantifying non-linear association and interaction between the multi-source data and the quality measurement data. According to the method, the influence of coupling of various factors on the production quality can be avoided, the regulation and control accuracy and consistency of boron diffusion process parameters can be greatly improved, the stability and anti-interference capability of the production process are remarkably enhanced, the production efficiency is improved, and produced unqualified products are reduced.

A method (400) for assessing quality of a transversal sealing (102) of a paperboard-based food package (100), wherein the food package (100) comprises a longitudinal scaling (104), and is provided with an reference imprint (106) in connection to the transversal sealing (102) is provided. The method (400) comprising, capturing (S402), by a camera (202), image data of the transversal scaling (102), determining (S404), in the image data, a position of the reference imprint (106), determining (S406), in the image data, a position of a reference line (104), determining (S408) quality measurement data of the transversal sealing (102) based on the position of the reference imprint (106) relative to the position of the reference line (104).

A method and system for post processing a component produced by an additive manufacturing machine, including analyzing one or more input parameters for a component produced by additive manufacturing machine and generating a post process recipe including a process parameter for at least one post processing step. The method further includes executing at least one post processing step with a post processing device using the process parameter and performing at least one quality measurement associated with the at least one post processing step. The method further includes adjusting the post process recipe based an output from the at least one quality measurement and repeating the at least one post processing step with the post processing device using the adjusted post process recipe on at least one the component or a next component.

In some embodiments, a method receives a first video and processes frames of the first video to generate a second video. A frame matching process is performed to determine whether frames of the second video and frames of the first video meet a condition that determines whether frames match to generate a new version of the second video and a new version of the first video. A sequence of frames in the new version of the first video is different from the first video. The method compares frames of the new version of the second video and frames of the new version of the first video to generate a score based on a quality metric.

Provided is a particulate matter filling method for measuring the volume of particulate matter and filling the particulate matter into a container, the method being able to improve the performance of a facility while maintaining high quality measurement accuracy. This method includes: moving a first particulate matter fed through a feeding section to a first measuring section; moving a second particulate matter fed through the feeding section to a second measuring section and measuring the first particulate matter; moving the first particulate matter to a first filling section and measuring the second particulate matter; filling the first particulate matter, and then moving the second particulate matter to a second filling section; and filling the second particulate matter.

The invention discloses an enterprise data quality quantitative evaluation and treatment method, and belongs to the technical field of data evaluation and monitoring. The method comprises the following steps: constructing a multi-level quality evaluation index system comprising first-level and second-level indexes according to business domain differences of enterprise data; performing quality measurement on the data, calculating the score of each second-level index, and sequentially obtaining a first-level index score and a comprehensive quality score through weighted summarization; and dividing the data into a plurality of quality grades according to the comprehensive quality score, and executing corresponding data governance operations for different grades. Through multi-source heterogeneous data acquisition, multi-layer configurable index quantitative evaluation, differential period monitoring and closed-loop treatment based on intelligent analysis, automatic, refined and intelligent evaluation and treatment of enterprise data quality are realized, and the efficiency and effect of data treatment are remarkably improved; and a solid guarantee is provided for value release of enterprise data assets.