29 results about "Coverage data" patented technology

The application discloses a weak coverage area grid clustering method and device, and the method comprises the following steps: performing slicing processing on a raster map to obtain a plurality of map slices; calculating the weak coverage probability of each map slice; screening the map slices to be clustered from the plurality of map slices according to the weak coverage probabilities of the plurality of map slices, performing clustering processing on the grids in the map slices to be clustered to obtain a weak coverage clustering cluster; collecting the update coverage data corresponding to the plurality of map slices, and updating the raster map according to the update coverage data and the weak coverage clustering cluster. The application realizes the management and processing of different slices by screening the map slices to be clustered, and does not need to perform complete traversal clustering and updating on the entire raster map, thereby saving the computing resource, effectively improving the update speed of the raster map, and solving the problems that the current clustering operation requires a large computing power and the real-time update map operation consumes a large amount of resources.

This disclosure relates to the field of robotics technology, providing a method for handling missed cleaning areas, a cleaning robot, a system for handling missed cleaning areas, a computer-readable storage medium, and an electronic device. The method includes: identifying missed cleaning areas within an explored area based on actual cleaning coverage data and historical cleaning records during the cleaning task execution process; and generating the cause of the missed cleaning area based on environmental perception data during the cleaning task execution process. This disclosure can automatically identify missed cleaning areas and accurately analyze their causes, significantly reducing the burden of manual troubleshooting for users.

Disclosed here are methods, systems, and apparatuses for optimizing in-building network coverage through aggregation of usage data, network data, and other performance metrics and geospatial analysis employed to map network coverage data onto a geographic grid, facilitating spatial visualization of performance. The network coverage data is mapped to the buildings data to create a spatial visualization. A model is then applied to the network coverage data and the spatial visualization to identify buildings with a network coverage score below a threshold, and an appropriate action is performed based on the identification.

The invention discloses a test case determination method and device and electronic equipment. The method comprises the steps that a to-be-verified target code unit is determined; the target code unit represents a code unit corresponding to the to-be-verified function point in the algorithm model; obtaining a coverage rate database, wherein the coverage rate database represents the coverage degree of each test case in the test case library on a preset granularity code unit in the algorithm model; and querying in a coverage rate database based on the target code unit to obtain a test case covering the target code unit as a target test case.

The application relates to the technical field of heat dissipation structure design, and discloses a topological optimization design system and method for a heat dissipation module fin keyhole structure. The method comprises the following steps: collecting three-dimensional profile data of a target heat pipe and initial hole position distribution data of fins to be optimized; determining a keyhole structure topological parameter set based on the initial hole position distribution data, and generating optimized hole position distribution data based on the same; extracting heat pipe contact profile fluctuation characteristics, combining tin injection process constraint conditions to perform profile fluctuation compensation, and obtaining compensated hole position profile data; performing iterative checking by using a hole position topological verifier, updating the topological parameter set when the iterative checking fails; performing a heat pipe wrapping simulation test according to the updated parameter set, generating coverage rate data; analyzing a local low-coverage rate area, positioning and adjusting coordinates, dynamically correcting the optimized hole position distribution data, and generating final keyhole topological structure data. The method improves the matching degree of the keyhole structure and the heat pipe, adapts to the tin injection process, and guarantees heat dissipation performance.

The application discloses an eSIM Profile remote delivery and automatic switching system, comprising: a terminal device, used for pre-setting a seed Profile, establishing a communication session with a cloud eSIM management platform through the seed Profile, reporting location data, network state and current Profile information, and completing target Profile receiving, installation, activation and failure fallback; the cloud eSIM management platform is used for obtaining relevant call and charging characteristic data and judging whether the switching condition is met, and when the switching condition is met, the target Profile remote delivery is applied; the operator interface is used for providing relevant call and charging characteristic data to the cloud eSIM management platform, and remotely delivering the Profile; the data layer is used for storing terminal device historical performance data, and analyzing operator cost and coverage data. The application also discloses an eSIM Profile remote delivery and automatic switching method, an electronic device and a computer readable storage medium. The application improves switching accuracy and automation level, and reduces communication cost.

The application discloses an annual cloud coverage prediction method and device based on a graph neural network and monthly features, and belongs to the technical field of remote sensing information intelligent processing, atmospheric science and deep learning. The method comprises the following steps: acquiring historical cloud coverage data of a geographical sampling point, and constructing a 12-dimensional monthly feature vector as an input feature for each sampling point; constructing an adjacency matrix representing the topological relationship of a space according to the geographical coordinates of the sampling point and based on a spherical distance and a K nearest neighbor algorithm; inputting the input feature and the adjacency matrix into a pre-trained spatio-temporal graph neural network model, and outputting a daily cloud coverage grade prediction result of a target year; and the model is composed of a cascaded residual graph convolution network module, a bidirectional long short-term memory network module, a multi-head attention module and a plurality of independent monthly classifiers. The application realizes annual scale cloud coverage prediction only by relying on historical data, and has significant precision advantages and generalization capabilities in complex terrain areas and scenes with insufficient historical data.

The application relates to the technical field of shotcrete construction control, and discloses a blast hole shotcrete thickness uniformity control method and system and a storage medium. The method comprises the following steps: acquiring initial coverage data of adjacent shotcrete areas, establishing a spatial attenuation distribution model of shotcrete thickness on the basis of the data, and adjusting the shotcrete intensity of the overlapping area based on the model; generating a thickness continuity index through shotcrete thickness simulation, identifying non-smooth points and performing local path compensation to obtain a compensated shotcrete thickness gradient; performing smoothing processing on the thickness gradient to generate an optimized shotcrete thickness distribution map, performing overall uniformity analysis based on the shotcrete thickness distribution map, and determining a final shotcrete coordination scheme; generating a shotcrete control instruction according to the shotcrete coordination scheme and driving a shotcrete device to execute, and verifying the shotcrete thickness distribution through real-time feedback data. The application realizes full-process thickness uniformity control from prediction to execution through multi-level closed-loop optimization driven by the attenuation model, and improves construction quality.

This application relates to a method, electronic device, and storage medium for locating errors in a logic system design. The method includes: testing the logic system design using multiple test cases; dividing the multiple test cases into a pass case group and a fail case group based on the test results, the test results including coverage data of the multiple test cases; determining multiple key features based at least on the coverage data of the test cases in the fail case group; and locating the error in the logic system design based on the multiple key features. This method can reduce error location time and accurately pinpoint the source of errors in the logic system design.

This application discloses a code testing method, apparatus, electronic device, and storage medium. The method includes: creating a first container and a second container corresponding to the code to be tested, allocating shared storage space for the first and second containers, obtaining the code to be tested through the first container, testing the code to be tested, obtaining test coverage data of the code to be tested generated by the first container and shared in the shared storage space, reading the test coverage data of the code to be tested from the shared storage space through the second container, and generating a test coverage file of the code to be tested based on the read test coverage data. The technical solution of this application embodiment can improve the accuracy of test coverage data.

This application provides a code coverage statistics method, electronic device, and storage medium. The method includes: compiling source code to generate intermediate code; the source code includes coverage statistics code; performing global syntax analysis on the intermediate code to generate a node tree framework; the node tree framework includes hierarchical nodes, and the hierarchical nodes are associated with the code structure of the intermediate code; splitting the node tree framework based on the hierarchical nodes to obtain multiple local subtree frameworks; sending the multiple local subtree frameworks to multiple distributed computing nodes for local compilation; receiving the local coverage node tree generated by the local compilation; the local coverage node tree includes coverage nodes, and the coverage nodes include coverage data corresponding to the coverage statistics code in the local subtree framework; aggregating the coverage data of multiple local coverage node trees to generate code coverage statistics results.

The application discloses a forest landscape evaluation method and device based on forest landscape connectivity and a medium, and comprises the following steps: acquiring a land cover data set of a continuous time sequence of a research area, calculating the forest coverage of each grid and the comprehensive forest coverage of the research area; taking the forest coverage data as a foreground, selecting edge density ED, patch type area percentage PLAND, patch shape index LPI and patch cohesion index COHESION to calculate a landscape structure connectivity comprehensive index SCI; selecting four resistance factors including a land use type, an altitude, a slope and a distance from construction land to construct a comprehensive resistance surface, calculating a current density based on a circuit theory, and taking the current density as a landscape function connectivity index CD; and combining the comprehensive forest coverage FC, the landscape structure connectivity comprehensive index SCI and the landscape function connectivity index CD to determine eight modes of dynamic changes of forest landscapes.

The application discloses a GSM-R network fault analysis method and device, and the method comprises the following steps: acquiring network data; analyzing quality of service data to obtain layer three signaling, base station switching record and measurement report; when the abnormal release reason value is null, determining air interface coverage data according to the measurement report; when the air interface quality is abnormal, determining a GSM-R network fault analysis result according to repeater station account data, repeater station alarm data, base station alarm data, network management performance data and interference monitoring data; when the air interface coverage data is wrong, determining the GSM-R network fault analysis result according to the base station account data and the base station switching record; and when the abnormal release reason value is not null, determining the GSM-R network fault analysis result according to the abnormal release reason value. The application realizes automatic GSM-R network fault analysis, and improves the efficiency and accuracy of GSM-R network fault analysis.

Method for managing the connectivity of a connected motor vehicle capable of being connected to network operators, for the control of said connected vehicle on a determined route;said connected vehicle comprising a connectivity management system implementing said process of continuously monitoring (200) the coverage data of one or more network operators previously selected (100) from a panel of network operators with which the connected vehicle is able to communicate, and responding to a first current control strategy determined and, after analysis (300) of the data provided by the network operators of the panel of network operators and of third vehicles able to communicate in real time with the connected vehicle, to decide, and establish (400) a new control strategy on the determined route, based on a predicted degradation of the coverage data upstream of the determined route, anticipating said degradation. (Figure 5);

This invention provides a testing method and platform based on dynamic execution tracing and intelligent test case selection. The method includes: matching instrumentation strategies according to the language type of the program under test to obtain the original execution event flow; constructing a control flow graph for each function based on the source code, mapping the original execution events onto the control flow graph to obtain structured coverage data; extracting entities and relationships from the structured coverage data and storing the mapping relationship between execution events and code elements in the form of a graph database; when code changes occur, parsing the changes, performing risk probability assessment, and generating an optimal regression set; and performing verification on the optimal regression set to obtain the final test results. This method can improve testing efficiency and reduce regression costs.

This application discloses a precise testing method, apparatus, device, and medium based on code change and test case mapping, relating to the field of software testing technology. The method includes: executing test cases and collecting their execution traces using code coverage tools, recording the signatures of all covered code methods and their coverage data; storing the mapping relationship between test case identifiers, code method signatures, and coverage; obtaining a list of changed files through a version control system when a code repository commits; performing method-level structural comparisons for each changed file; processing all changed files in parallel and merging them to obtain a final set of changed methods composed of affected method signatures; comparing the set of changed methods with an established test case-code method mapping database; retrieving all test cases covering any method in the set of changed methods, and generating a recommended test case list. Therefore, this application can achieve a regression testing scheme with high test quality and execution efficiency.

The application relates to the field of road detection, and particularly discloses a vehicle-mounted three-dimensional radar efficient full-coverage data collection auxiliary system and a working method thereof. The system comprises a central controller and a projection system. The central controller is connected with the projection system through a connecting cable, is used for controlling the rotation of the projection device, and calculates the moving distance of the three-dimensional ground penetrating radar. The application is based on the fact that the existing three-dimensional ground penetrating radar can only determine the traveling route artificially, and the full-coverage collection needs to be insufficiently detected for multiple times. Based on the projection technology, the position of the three-dimensional ground penetrating radar on the road and the position of the vehicle relative to the lane line are provided in real time, the vehicle position information is fed back to the driver, the car is accurately controlled, the three-dimensional ground penetrating radar is efficiently and fully detected, and the three-dimensional ground penetrating radar efficient full-coverage data collection auxiliary system and the working method thereof are provided.

The application provides an airport passenger screening method and device based on signaling trajectory data, the method comprising: obtaining mobile phone signaling trajectory data collected by a target airport within a preset collection period, and spatial coverage data corresponding to a base station set by the target airport; based on the spatial coverage data, using a plurality of spatiotemporal constraint rules to screen the mobile phone signaling trajectory data to determine at least one target user corresponding to the mobile phone signaling trajectory data; determining passenger data of each target user in the mobile phone signaling trajectory data, and based on the passenger data, constructing a target passenger data set of the target airport. Through the above method, the accuracy of passenger screening is improved while breaking through the limitations of single rule screening, fine classification of arriving, departing and double-attribute passengers is realized, and structured and high-quality passenger data is output and a standardized data set is constructed.

The invention relates to a control device (100) for controlling the application of a coating material (150) on a substrate (152), the control device comprising: an input data determining unit (102) configured to determine applicator data (AD), coating data (CD) and substrate data (SD); a first simulation unit (104) configured to perform a simulation of the coating application according to a predetermined coating application simulation algorithm (A1) and to provide simulated coating application data (106); a second simulation unit (108) configured to perform a simulation of the coating film flow according to a predetermined coating film flow simulation algorithm (A2) and to provide simulated coverage data (110). A modular solver unit (112) is configured to control the operation of the first and second simulation units such that in a first phase both simulation units are operated simultaneously, while in a second phase only the second simulation unit is operated.

A system can receive datasets having a plurality of records, at least one dataset including wireless telecommunications network coverage data. A system can transform the records to a standardized format. A system can perform geospatial calculations for each record to determine predefined geographic areas, each having a geographic area type. A system can associate each record with the corresponding predefined geographic areas. A system can generate transformed datasets including transformed records and indications of the associated predefined geographic areas. A system can provide a graphical user interface having a map, an input for selecting a transformed dataset, and an input for selecting a geographic area type. A system can receive a selection of a transformed dataset and a geographic area type. A system can receive a selection of a geographic area via the map. A system can be configured to generate an output dataset based on the selections.

The application discloses an annual cloud coverage prediction method and device based on a graph neural network and monthly features, and belongs to the technical field of remote sensing information intelligent processing, atmospheric science and deep learning. The method comprises the following steps: acquiring historical cloud coverage data of a geographical sampling point, and constructing a 12-dimensional monthly feature vector as an input feature for each sampling point; constructing an adjacency matrix representing the topological relationship of a space according to the geographical coordinates of the sampling point and based on a spherical distance and a K nearest neighbor algorithm; inputting the input feature and the adjacency matrix into a pre-trained spatio-temporal graph neural network model, and outputting a daily cloud coverage grade prediction result of a target year; and the model is composed of a cascaded residual graph convolution network module, a bidirectional long short-term memory network module, a multi-head attention module and a plurality of independent monthly classifiers. The application realizes annual scale cloud coverage prediction only by relying on historical data, and has significant precision advantages and generalization capabilities in complex terrain areas and scenes with insufficient historical data.

An authorization method for network satellite coverage data includes: sending a registration request to an access and mobility management function, AMF, in which the registration request includes satellite coverage data request information from the UE; and receiving a registration accept response sent by the AMF, in which the registration accept response includes authorization data, and the authorization data includes a first temporary identifier, ID, assigned by a server to the UE.

Embodiments of the present application provide a heterogeneous parallel fuzzing system and method based on coverage sharing. A central dispatcher coordinates multiple heterogeneous (AFL, MOPT, Fairfuzz) fuzzers, and the coverage data of each fuzzer is uniformly shared. The sharing method is to use a coverage mapping file (bitmap) as a heterogeneous fuzzer coverage representation. Two key problems are mainly solved: one is to break through the technical limitations of a single tool through the cooperation of heterogeneous fuzzers; the other is to realize cross-tool collaborative optimization through unified coverage representation and sharing mechanism.

The present application relates to the technical field of information engineering knowledge graph construction, and particularly relates to a supervision knowledge graph dynamic modeling method based on multi-source heterogeneous data fusion. The method constructs a dynamic evolution and cross-source consistent knowledge network by designing a four-dimensional knowledge graph modeling framework, combining entity alignment of a graph neural network, relationship extraction of remote supervision, and attribute processing of weighted fusion. For a multi-modal data missing scenario, a virtual feature compensation mechanism (historical event retrieval, multi-dimensional feature weighted fusion) is used to generate virtual features and map them to the graph, effectively filling in the data and solving the problem of incomplete knowledge coverage in complex engineering scenarios. A compliance entropy evaluation model is introduced to quantify the compliance state of the supervision knowledge graph from three dimensions of rule coverage, data consistency, and traceability integrity, breaking through the limitations of the traditional artificial compliance check in terms of lag and subjectivity.

The application discloses a kind of based on demand-use case bidirectional tracing's chip completeness verification method, belongs to chip verification technical field.It includes: S1, constructs structured chip design demand database;S2, establishes the bidirectional tracing mapping relationship between verification case and chip design demand;S3, when carrying out chip completeness verification, detect whether the change of chip design demand occurs, if demand changes, then automatically trigger and track the dynamic update of the verification case associated with the change content;S4, based on bidirectional tracing mapping relationship, the coverage data generated in verification process is associated with checking and completeness evaluation;S5, the data generated in each step is collected by unified system platform, and the system platform is used between demand team, verification team and design team, for data synchronization, team cooperation and authority control.The application improves verification completeness significantly by structured demand database and bidirectional tracing matrix.

The application discloses a coverage-guided grey-box fuzzing method based on a large language model (LLM) agent collaboration. The method first constructs a test environment composed of a fuzzer, a mutation server, a source code coverage collector, and multiple large language model agents. The mutation server provides a hot-loadable mutation strategy module to the executor through an inter-process communication channel. The source code coverage collector independently runs a source code coverage instrumentation binary to collect source code coverage when each new test case is stored. Second, during the fuzzing execution process, Thompson Sampling is used to adaptively schedule between the traditional byte mutator and the large language model mutator, and Thompson Sampling dynamically allocates mutation opportunities based on the posterior probability of new coverage generated by each mutation path. Finally, during the test iteration process, the coverage analysis agent generates an exploration direction based on the source code coverage data, the mutator writing agent generates and hot-loads new mutation strategy modules based on the exploration direction, the test case generation agent generates test cases based on the exploration direction and imports them into the executor, and each agent retains experience between iterations through a persistent memory file to improve the coverage convergence speed and vulnerability discovery capability of the fuzzing.

The application discloses a kind of roadside millimeter wave radar point selection efficiency verification methods based on mobile carrier, it is related to traffic detection equipment deployment technical field.The method includes: obtaining map data screening candidate point and determining planned installation parameter;According to the field environment condition, select unmanned aerial vehicle or maintenance vehicle as mobile carrier and configure radar equipment, attitude adjusting device, power supply module and data transmission module;Mobile carrier is deployed to candidate point and adjusts radar to planned installation height and detection angle;Collect traffic flow data and generate target trajectory data;Calculate detection coverage, data integrity index, vehicle speed detection root mean square error and section flow precision;According to the index calculation comprehensive efficiency score and with qualified threshold value comparison determine final installation point.The application obtains real detection data by mobile carrier simulation radar actual installation working condition, realizes the quantification verification of point selection efficiency, improves the accuracy of point selection decision.

This invention relates to the field of information technology service management technology, and discloses a method, system, and storage medium for processing the allocation of maintenance personnel. The method includes: acquiring work order fulfillment data, workload data, on-call duty requirement data, and automation coverage data of the target maintenance object within a preset statistical period; determining the basic configuration number based on the workload data, and generating a risk adjustment factor based on the work order fulfillment data; determining the additional on-call duty requirement based on the on-call duty requirement data, and determining the automation reduction number based on the automation coverage data, and generating a preliminary staffing number; constraining and calibrating the preliminary staffing number to obtain the target staffing number; and dynamically adjusting the target staffing number based on the correspondence between the risk adjustment factor and a preset risk threshold range, combined with the judgment results of the continuous statistical period. This application improves the accuracy, stability, and executability of the maintenance personnel allocation results.

The Distributed Benefits Coverage Validation Apparatuses, Processes and Systems (“DBCV”) transforms provider info, add provider transaction request, employee subscriber ID card data datastructure / inputs via DBCV components into add provider transaction response, benefit coverage validation notification outputs. A benefit coverage validation request datastructure structured to specify subscriber ID card data associated with a beneficiary is obtained. A blockchain address of a smart contract associated with the beneficiary is determined via the subscriber ID card data. Encrypted benefit coverage data associated with the beneficiary is obtained by sending a blockchain transaction to the blockchain address of the smart contract. An encryption key corresponding to the encrypted benefit coverage data is obtained from a key management server. The encrypted benefit coverage data associated with the beneficiary is decrypted with the encryption key. The decrypted benefit coverage data is evaluated to determine a benefit status corresponding to a benefit provided by a provider.