78 results about "Quality information" patented technology

This application relates to the field of medical technology and provides a medical application scenario matching method, electronic device, and computer program product. The medical application scenario matching method includes: acquiring a medical image sequence; determining image information of the medical images in the medical image sequence, the image information including key information, which includes one or more of the following: imaging object information, phase information, lesion detection information, and image quality information of the corresponding medical image; and outputting at least one target application scenario adapted to the medical image sequence based on the key information. Embodiments of this application can prevent doctors from using unsuitable medical image sequences in specific application scenarios, thus helping to improve doctors' work efficiency.

The present disclosure discloses an online detection method and device for battery production, an electronic device and a storage medium. According to the present application, by deploying an integrated detection unit at each process station of the production line, multiple types of online non-destructive testing are carried out on the functional layer of the battery to obtain multi-dimensional quality information. After comprehensive analysis, process adjustment instructions are generated in real time to control the corresponding station parameters, and a production process quality closed-loop management system is constructed. Therefore, the technical problem that the process deviation accumulates and the sample contamination rate increases due to the use of offline testing process and the failure to realize real-time quality monitoring of the production process in the existing perovskite component detection method, thereby affecting the whole batch product yield, can be solved. The technical effects of realizing real-time monitoring of the whole production process quality, reducing process deviation and sample contamination, improving the whole batch product yield of perovskite solar cells, and further promoting the industrialization process of perovskite photovoltaic devices are achieved.

Example implementations include a wireless communication method of selecting, by a wireless communication device, N resources, where N is equal to or larger than 1; and sending, by the wireless communication device to a wireless communication node, a message including a Channel State Information (CSI) report, where the CSI report includes an index of each of the N resources, and quality information of each of the N resources, where each of the N resources includes a reference signal resource, and where each of the N resources corresponds to one of M elements, M being smaller than or equal to N.

Embodiments of the present application provide a data retrieval method and device, electronic equipment and computer readable storage medium. Specifically, it comprises: obtaining the current query text of the user; determining the current retrieval data set based on the current query text and the preset knowledge base; determining the first correlation characteristic value of the current query text and the current retrieval data set; generating the data retrieval result corresponding to the current query text based on the first correlation characteristic value and the current retrieval data set. Massive knowledge can be quickly located and preliminarily screened, avoiding traversal of the full knowledge base and reducing the computational load of subsequent processing; by evaluating the relevance of the retrieval data and the query text, the possibility of generating illusory answers based on low-quality information can be reduced; the generated retrieval result is strongly related to the pre-evaluation result, so that a resource-intensive large language model can be called to generate the final retrieval result when the relevance of the retrieval data and the query text is high, reducing the computational consumption and improving the resource utilization.

Embodiments of the present application provide a communication method and device, relating to the technical field of communication. The method can combine dynamic objects and static objects to predict the beam of the terminal device, thereby improving the accuracy of beam prediction and improving the link stability of vehicle networking communication. The method comprises: sending first information, the first information comprising vehicle information, position information and link quality information of the terminal device. The vehicle information is pre-set in the terminal device. Trajectory information is sent, the trajectory information comprising at least one position information of the terminal device within a first time length in the future. Third information is sent, the third information comprising information of at least one non-networked blocking vehicle, the blocking vehicle being capable of blocking the communication beam used by the terminal device. A first indication is received, the first indication being used to instruct the terminal device to perform beam switching or beam interruption. The first indication is generated by the network device according to the first information, the trajectory information and the third information.

A system includes one or more processors configured to obtain navigation system quality information from multiple data sources. The one or more processors are further configured to generate navigation signal interference map information based on the navigation system quality information. For example, the one more processors may be configured to aggregate, based on one or more parameters, first data from a first data source of the multiple data sources, and identify one or more areas associated with low quality navigation signals based on second data from a second data source of the multiple data sources. A portion of the aggregated first data may be discarded based on the one or more areas to generate the navigation signal interference map information. The one or more processors may also be configured to output the navigation signal interference map information.

This application discloses a corpus processing method and system for a large-scale model search engine, relating to the field of data processing technology. The corpus processing method for a large-scale model search engine includes: obtaining a target word segmentation result based on a first sentence; obtaining the semantic contribution degree corresponding to each word element based on the target word segmentation result; filtering out word elements in the target word segmentation result whose semantic contribution degree is lower than a first preset value to obtain an optimized word segmentation result; obtaining the priority of the first sentence based on the optimized word segmentation result; and determining whether to input the first sentence as valid corpus into the large-scale model based on the priority. This application overcomes the limitations of traditional word segmentation and filtering, accurately identifying high-quality, low-frequency corpus with reliable sources and core semantics, preventing it from being overwhelmed by high-frequency, low-quality information, and simultaneously eliminating false, low-quality corpus based on keyword stuffing from the source, thereby improving the quality of the input corpus for the large-scale model.

One example method includes joining a learning federation, initializing a respective local model, and setting one or more corresponding internal parameters, receiving, as part of a reception procedure and in response to a transmission procedure performed by peer nodes of the federation, an external model, and associated matrix information, from one of the peer nodes determined to be available, performing a matrix merge process by updating a local matrix with the matrix information, merging the local model and the external model to create a merged model, checking a quality of the merged model, updating the local matrix with quality information concerning the merged model, and, transmitting the merged model and the local matrix to the peer nodes determined to be available.

The objective is to obtain a parameter adjustment content calculation device (10) capable of improving the accuracy of improving the communication quality of communications subject to quality control. The parameter adjustment content calculation device (10) comprises: an information acquisition unit (11) that acquires parameters set in one or more communication systems in which multiple communications take place, and quality information of communications subject to quality control; a design information knowledge acquisition unit (12) that acquires design information and knowledge used in the calculation of parameter adjustment content; an information storage unit (13) that stores the parameters and quality information acquired by the information acquisition unit (11) as information and stores the design information and knowledge acquired by the design information knowledge acquisition unit (12) as information; a parameter adjustment content calculation unit (14) that calculates parameter adjustment content based on the information stored in the information storage unit (13); and a parameter adjustment content output unit (15) that outputs parameter adjustment content to the communication system in which the parameters are adjusted according to the parameter adjustment content.

This invention provides a method for ensuring the long lifespan of COTS components applied to commercial satellite models, comprising: assessing factors influencing the long lifespan of commercial satellite COTS components; clarifying the selection principles for COTS components; formulating a component supplementation and screening method; providing long lifespan assurance measures for COTS components in response to factors influencing long lifespan; acquiring on-orbit application information and irradiation data of components; and establishing a long lifespan quality information database for COTS components. This invention, while ensuring high performance and low cost for commercial satellites, effectively avoids failures due to low quality and insufficient reliability of COTS components, ensuring that commercial satellites can achieve a long lifespan of more than 5 years.

A method of image rendering quality prediction and path planning for large-scale scenes is provided. In the method, multiple surface points of a proxy model within a viewpoint range of a virtual viewpoint are obtained. For each surface point, a photometric error among multiple photometric information corresponding to the surface point is determined. The multiple photometric information refers to the photometric information of the surface point at multiple visible acquisition viewpoints respectively. The visible collection viewpoint are those acquisition viewpoints where the surface point is visible among the multiple acquisition viewpoints. Based on the photometric error, a viewing angle similarity and a resolution similarity between the virtual viewpoint and the visible acquisition viewpoints with respect to the surface point are determined. A rendering quality information of the proxy model at the virtual viewpoint is determined based on the viewing angle similarities and the resolution similarities.

This application discloses a file transfer method, apparatus, electronic device, and storage medium, relating to the field of financial technology. The method includes: parsing the current file transfer task to obtain the address of the source device, the address of the target device, task attribute information, and security compliance information; filtering multiple initial transfer strategies based on the security compliance information to obtain multiple candidate transfer strategies; determining the file transfer link based on the address of the source device and the address of the target device; determining the comprehensive suitability of each candidate transfer strategy based on the task attribute information, the real-time link quality information of the file transfer link, the real-time resource information of the source device, and the real-time resource information of the target device; and determining the target transfer strategy from the multiple candidate transfer strategies based on the comprehensive suitability; and executing the current file transfer task according to the target transfer strategy, enabling the transfer strategy to adapt to the complex and dynamically changing intranet environment of financial institutions, thereby improving file transfer efficiency and success rate.

The application discloses a Chinese herbal medicine composition quality information processing method and device. It relates to the field of artificial intelligence technology. The method comprises the following steps: obtaining target data information corresponding to a target Chinese herbal medicine composition to be predicted, wherein the target data information at least comprises medicine name information of multiple medicinal materials contained in the target Chinese herbal medicine composition and medicinal material weight information corresponding to each medicinal material; performing feature conversion on the target data information through a first feature converter or a second feature converter in a target model to obtain a target sparse vector; and processing the target sparse vector through at least one multi-classification layer in the target model to obtain target quality information corresponding to the target Chinese herbal medicine composition. Through the application, the technical problem that the quality information prediction accuracy is relatively low in the related art due to the quality information prediction of Chinese herbal medicine compositions based on an electronic tongue is solved.

Embodiments of the present application provide a product development quality control method, device, equipment and storage medium. The method comprises: obtaining product configuration information and historical quality information, determining a configuration feature vector corresponding to the product configuration information, and a quality feature vector corresponding to the historical quality information; determining an initial control list according to the matching relationship between the configuration feature vector and the quality feature vector, and the quality control requirement, and sending the initial control list to a matched target object for audit processing; receiving the list audit result of the target object, and determining a target control list according to the list audit result; wherein the target control list includes quality information that needs to be avoided and controlled in the product development process. The method can improve the quality control efficiency, reduce the time cost and labor cost, and improve the product development efficiency and quality.

Example embodiments of the present disclosure are directed to reporting of interference aware channel quality information. In a method: a first apparatus obtains channel quality information for a first transmission between the first apparatus and a second apparatus, the channel quality information being indicative of an interference caused by at least a second transmission of at least a further second apparatus; and the first apparatus transmits, to at least the second apparatus, the channel quality information.

The application provides a three-dimensional scene parameterization neural rendering system based on Falcor, and relates to the technical field of neural rendering of dynamic three-dimensional scenes. The system comprises an improved integrated renderer, a noise distribution calculation module and a neural rendering module; the improved integrated renderer performs image rendering, and outputs geometric buffer information, a noisy image and light tracing quality information; the noise distribution calculation module calculates a noise intensity distribution diagram of the noisy image; the neural rendering module comprises a neural renderer and a scene parameter exploration unit; the neural renderer takes the noise intensity distribution diagram, the geometric buffer information, the noisy image and corresponding scene parameters as inputs of the neural renderer during training, and outputs a predicted rendered image; the scene parameter unit actively explores scene parameters required for the next training of the neural renderer and transmits the scene parameters to the improved integrated renderer; the improved integrated renderer performs a new round of image rendering, thereby realizing the next training of the neural renderer.

A missing modal multi-modal learning method based on quality perception prompt modulation. It relates to the technical field of multi-modal learning, aiming at the problem that the existing missing modal multi-modal learning method ignores the reliability difference of modal information, leading to the continuous propagation of low-quality information in the feature extraction and fusion process, affecting the robustness and prediction accuracy of the model, the following scheme is proposed: detecting the missing type of the input sample, generating the missing modal feature and completing the missing modal, combining the task correlation evaluation, decision influence evaluation and intrinsic truth evaluation to obtain the comprehensive quality score, and modulating the prompt vector of the pre-trained visual language encoder according to the comprehensive quality score, then the double modal feature is weighted and fused according to the quality perception, and the task prediction is completed. The present application is suitable for multi-modal learning tasks such as image-text classification, sentiment analysis, visual question answering, medical auxiliary diagnosis and the like under the condition of missing modal.

This invention provides a method and system for DR image quality control based on decoupled representation learning and multi-level feedback, belonging to the field of medical image processing technology. The method includes: acquiring DR images and DICOM metadata; automatically classifying areas if the examination site is missing; extracting mixed features using an adaptive anatomical perception network; obtaining anatomical, quality, and pathological features through orthogonal decoupling; guiding region-specific quality assessment based on anatomical features and inversely generating suggestions for adjusting imaging parameters. This invention achieves complete separation of lesion and quality information through orthogonal feature decoupling, avoiding interference from pathological features in quality assessment, while providing actionable parameter feedback, significantly improving the accuracy, robustness, and clinical applicability of DR image quality control.

The present disclosure relates to communication methods, an apparatus, a device and a storage medium. A method comprises: determining beam report information, the beam report information comprising beam quality information and beam accuracy information, and the beam accuracy information being used for indicating the accuracy of beam quality information; and sending to a network device the beam report information. The beam accuracy information, which is carried in the beam report information sent to the network device, may indicate whether the beam quality of a corresponding beam is accurate, thereby improving the accuracy of prediction on beams by a beam prediction model.

The application discloses a dynamic object perception system and method based on multi-source sensor information fusion, relates to the field of dynamic object perception, and through parallel processing of multi-source heterogeneous data such as RGB-D images, 3D point clouds and millimeter wave radars, and introduction of a cross-modal inconsistency measurement mechanism, differences and conflicts between different sensor features are actively analyzed and quantified to evaluate the perception confidence of each sensing mode under the current environment in real time. Based on this, an adaptive attention mechanism is driven to dynamically generate the fusion weight of each mode, and finally, intelligent weighted fusion of each mode feature vector is realized, and a high-robustness fusion target state is output. In this way, low-quality or conflicting sensor information can be intelligently suppressed, and the contribution of high-quality information can be enhanced, so that more robust and accurate dynamic object perception can be realized in a complex and changeable environment.

The application discloses a resource control method and device, a communication device, a computer storage medium and a program product. The method comprises the following steps: receiving a first service request sent by a terminal device, processing the first service request to obtain a first service arrangement result, and determining a first task decomposition strategy based on the first service arrangement result; receiving link quality information sent by the terminal device, updating the first task decomposition strategy based on the link quality information, and carrying header identification information in the updated first task decomposition strategy. The header identification information is used for indicating a model structure and calculation accuracy, so as to meet the high service quality guarantee demand in the task transmission and execution process.

This invention belongs to the field of construction quality control and information technology for water conservancy and hydropower projects, specifically relating to a quality traceability system and method for asphalt panels in pumped storage power stations based on strip identification. It addresses the industry pain point of "data silos" formed by isolated storage of data at various construction stages, and the fragmentation of quality information leading to difficulties in fully tracing the overall quality history of the project. Key technical points: The system includes: a data acquisition module for collecting process data from each stage; an identification generation and binding module for dynamically and logically binding mixing batch identifiers, transport vehicle tags, and construction strip identifiers to the corresponding process data collected at each stage; a data integration and storage module for establishing a construction process-wide associated database with the construction strip identifiers as the core association key; a quality traceability analysis module for performing at least one traceability analysis based on the associated database; and a visualization query and output module for visually displaying the traceability analysis results.

The application provides a translation quality analysis method, device, equipment, medium and program product, and relates to the technical field of information processing. The method comprises the following steps: obtaining translation task information, wherein the translation task information comprises at least one of machine translation text, first modification mark information of the machine translation text, post-translation translation text, second modification mark information of the post-translation translation text and standard translation text; determining modification mark quality information of the translation task information according to a first similarity between the machine translation text and the standard translation text; determining post-translation translation quality information of the translation task information according to a second similarity between the post-translation translation text and the standard translation text and the second modification mark information; and determining translation quality information corresponding to the translation task information according to the post-translation translation quality information and the modification mark quality information.

This disclosure provides a model training and image processing method, apparatus, electronic device, and storage medium. The image processing method includes: determining at least one first image frame sequence based on a video to be processed, each first image frame sequence including at least one first image frame; for each first image frame sequence, determining a second image frame sequence based on the first image frame sequence, wherein each second image frame in the second image frame sequence corresponds to a first image frame in the first image frame sequence, and at least one first pixel block in each second image frame is obtained by sampling at least one first image block in the corresponding first image; determining first quality information for each second image frame sequence; and determining second quality information for the video to be processed based on each first quality information.

The wafer map detection method, detection device and computer readable storage medium of the present disclosure comprise: obtaining an original wafer map to be detected with multiple chip maps and corresponding chip quality information; obtaining multiple non-overlapping map edge parts of each offset wafer map to be detected by offsetting the original wafer map to be detected in multiple directions evenly divided according to a circumferential angle by at least one chip pitch; obtaining chip unqualified statistical information of each map edge part, and determining whether the chip unqualified statistical information of each map edge part meets a preset abnormal condition to obtain at least one abnormal map edge part whose chip unqualified statistical information meets the preset abnormal condition; and determining whether the original wafer map to be detected is offset based on the distribution asymmetry judgment of at least one abnormal map edge part on the circumferential angle. The present disclosure does not depend on the identification of chips and is beneficial to improve the wafer map offset detection accuracy.

The application discloses a trace code binding method and system based on visual detection, a terminal and a medium, and relates to the technical field of product defect diagnosis. The main technical scheme is that defect data detected by visual detection is fused with workpiece basic data to form a trace sequence code, so that the trace sequence code of each workpiece carries its own quality information. The purpose is to deeply fuse detection data and identification information to solve the problem of disconnection between detection data and identification. Meanwhile, a unique trace sequence code is generated for each workpiece, and specific defect data is associated with workpiece basic data. The purpose is to accurately locate a certain workpiece and defect information of the certain workpiece by only scanning the trace sequence code on the certain workpiece when quality abnormality occurs in the certain workpiece, thereby reducing the quality recall cost and the misjudgment rate.

A method (300) for updating Channel Quality Information (CQI) for User Equipments (UEs) within a network is disclosed In order to update the CQI, initially, a set of measurement parameters is received from at least one UE. Once the set of measurement parameters is received, the at least one UE is added to a cluster from a plurality of clusters based on the set of measurement parameters using a clustering algorithm. Further, upon adding the at least one UE to the cluster, a current CQI corresponding to the at least one UE is determined based on the set of measurement parameters. Upon determining the current CQI, an existing CQI associated with remaining UEs present within the cluster is updated based on the current CQI determined for the at least one UE, using at least one reinforcement learning technique. Ref.

The application discloses a kind of beam tracking method and device, it is related to wireless network technical field, method includes S1 constructs beam change prediction model;S2 trains optimization beam change prediction model;S3 obtains MCS statistical information and SSB scanning result information;S4 generates state vector;S5 predicts output beam index variation;S6 adds beam index variation to the best wave speed index of current SSB scanning result, constructs the actual sending beam of next window period;S7 utilizes sending beam to carry out data transmission;S8 judges whether to reach beam switching point, if yes then progress S3;Otherwise, progress S6;Introduce MCS link quality information, carry out depth fusion with the high-precision MCS link quality information of coarse-grained SSB spatial domain information, improve the performance of beam tracking;Periodic interval trigger is used, timely beam adjustment can be carried out between two SSB scanning periods, and base station can also continuously observe the effect of decision during interval window.

Methods, systems, and devices for wireless communication are described. A user equipment (UE) can identify a channel state information (CSI) report configuration or a trigger for reporting a CSI report. The UE can receive one or more CSI reference signal (RS) resources associated with the CSI report. The UE can determine a channel quality for each slot of a set of slots based on measurements of the one or more CSI-RS. The UE can transmit, during an uplink transmission occasion, a CSI report including the channel quality for two or more slots of the set of slots. The UE can transmit the CSI report during the uplink transmission occasion.