31results about How to "Fix usability issues" patented technology

The invention discloses an intelligent image verification method and an intelligent image verification system. The system comprises a data receiving module, an image code generating and verifying module, a timer module, an image data generating module, a database module, an image verification module and a data transmitting module. The data receiving module is used for receiving access requests, image verification code input and image selection sequence of a client user, the image code generating and verifying module is used for generating and verifying image verification codes, the timer module is used for performing timing and aging limiting for client access, the image data generating module is used for randomly generating prompting codes and corresponding N images, the database module is used for performing storage and index access for processing keywords, the prompting codes and image filenames, the image verification module is used for comparing the received image selection sequence of the client user with the image sequence generated by the image data generating module, and the data transmitting module is used for transmitting the image verification codes, the prompting codes, the N images and verification results to the client user, wherein the prompting codes and the N images are generated during image verification. By the aid of the intelligent image verification method and the intelligent image verification system, contradiction between usability and safety of an existing system is solved, whether the client user is a machine or not can be automatically identified, and network safety is improved.

The invention relates to a dynamic self-adaptive SRAM (Static Random Access Memory) type FPGA (Field Programmable Gate Array) system fault tolerance method based on BRAM detection, which belongs to the field of intelligent fault tolerance systems and comprises the following steps of: 1) dividing a reconfigurable region and a static region on an SRAM type FPGA; 2) constructing a dynamic adaptive structure fusing non-redundancy to multi-redundancy for a part of dynamic reconstruction area on the FPGA; 3) designing an SEU rate detection structure based on a BRAM embedded block, carrying out faultcounting, and detecting and correcting errors; 5) calculating a current turnover rate, and judging a redundancy scheme needing to be adopted; 6) implementing a redundancy scheme through a control unit of the FPGA system; and 7) calculating and evaluating the availability and performance of the adaptive FPGA system. Conditions in actual application of the FPGA are comprehensively considered, contradiction between availability and performance resources is balanced, an adaptive redundant structure of the FPGA system is dynamically changed according to the predicted radiation level (SEU rate), the task execution efficiency of the system is improved, the power consumption of the system without faults is reduced, and good portability is achieved.

The invention discloses a dynamic load balancing method and system based on double queues and a registration center, which ensures that available service addresses can be obtained when there are available services. The technical solution is: the present invention guarantees the usability of returning the address of the consumer by introducing double queues of available queues and unavailable queues, a registration center and a timing mechanism.

The present invention relates to the field of software development, in particular to a software low-code development system and a development method combined with the middle platform architecture theory; the software low-code development system includes a research and development material warehouse as a place for depositing middle-end capabilities, and as a consumption middle-end capability The low-code development platform of the site is used as the page design unit of the mid-stage carrier of the front-end capability, the research and development service unit and the mid-stage control unit of the mid-stage capability technology base; The combination of tools not only effectively improves the R&D efficiency of the enterprise, but also provides a clear division of labor for low-code developers; by packaging the business into function packages and superimposing them to realize system development, it effectively solves the contradiction between usability and practicality , and the amount of repeated code writing can be greatly reduced without increasing development costs. At the same time, each functional module in the system can be customized, making the development system more applicable.

The invention discloses an intelligent image verification method and an intelligent image verification system. The system comprises a data receiving module, an image code generating and verifying module, a timer module, an image data generating module, a database module, an image verification module and a data transmitting module. The data receiving module is used for receiving access requests, image verification code input and image selection sequence of a client user, the image code generating and verifying module is used for generating and verifying image verification codes, the timer module is used for performing timing and aging limiting for client access, the image data generating module is used for randomly generating prompting codes and corresponding N images, the database module is used for performing storage and index access for processing keywords, the prompting codes and image filenames, the image verification module is used for comparing the received image selection sequence of the client user with the image sequence generated by the image data generating module, and the data transmitting module is used for transmitting the image verification codes, the prompting codes, the N images and verification results to the client user, wherein the prompting codes and the N images are generated during image verification. By the aid of the intelligent image verification method and the intelligent image verification system, contradiction between usability and safety of an existing system is solved, whether the client user is a machine or not can be automatically identified, and network safety is improved.

The invention discloses an Internet of Things search system based on artificial intelligence control. An input end of an artificial intelligence terminal is connected with an input module; an output end of the input module is connected with an input end of an execution module; an output end of the execution module is connected with an input end of an intelligent search module; an output end of theintelligent search module is connected with an input end of a database calling module; an output end of the database calling module is connected with an input end of an information acquisition module; an output end of the information acquisition module is connected with an input end of an intelligent identification module, an output end of the intelligent identification module is connected with an input end of the collection module, an output end of the collection module is connected with an input end of an intelligent extraction display module, and an output end of the intelligent extractiondisplay module is connected with an input end of the intelligent storage module. According to the invention, the problem that an Internet of Things search system is inconvenient to store is avoided,so that the Internet of Things search system can be well stored and is convenient to use next time.

The invention provides a trusted file transfer method and system. The method comprises the steps that transferrable files are determined by scanning files under a specific catalog of a client and sentto a to-be-sent file queue; after the client passes authentication of a server, trusted network connection is established; the client sends the files in the to-be-sent file queue to the server; and the server verifies the received files, and if the received files are complete, the server sends successful receiving messages to the client. According to the trusted file transfer method and system, cross-platform file folder monitoring is achieved, the file transfer reliability and availability problems and the transfer connection security problem are solved, information of the files is recorded,and the file transfer condition can be monitored and counted.

The invention relates to a three-dimensional point cloud reconstruction method and system based on a high-precision vector map. The three-dimensional point cloud reconstruction method comprises the following steps: respectively converting road surfaces and ground objects in high-precision vector map data into 3D scene models; simulating a laser radar pose according to a vector road in the high-precision vector map data, wherein the vehicle laser radar pose comprises a position and a forward direction; setting various parameters to simulate the visual condition of the laser radar so as to simulate the light reflection relation of the 3D scene, and carrying out calculation to obtain points in the visual range of the laser radar for point cloud reconstruction; the 3D point cloud can be efficiently and stably reconstructed from the high-precision vector map, and the availability problem of the vector map in a point cloud scene is solved.

The invention relates to the field of user track privacy protection, and provides a user privacy protection method based on path selection reporting. The method includes the following steps:1, firstlyconverting a public city map to an undirected map; 2, calculating the transition probability between road segments according to the historical track information; 3, searching a plurality of tracks ofthe same starting point and ending point according to a starting point and an ending point of a user track, and calculating the probability of each track according to the transition probability between the road segments; 4, calculating the prior probability of a real track according to each track probability value; 5, measuring the privacy protection strength of the user according to the differential privacy, and calculating an optimal reporting road segment set according to the differential privacy protection principle; and 6, reporting the optimal road section set by the user, the reporteddata being the data collected by a sensor on the corresponding road segment and the corresponding road segment information. The method can be completed at the local end, and the user track privacy iseffectively protected.

The invention relates to a dynamic adaptive SRAM type FPGA system fault-tolerant method based on BRAM detection, which belongs to the field of intelligent fault-tolerant systems and comprises the following steps: 1) dividing reconfigurable regions and static regions on the SRAM type FPGA; Part of the dynamic reconfiguration of the regional structure combines no-redundancy to multi-redundancy dynamic adaptive structure; 3) Design the SEU rate detection structure based on the BRAM embedded block, count the faults and detect and correct errors; 5) Calculate the current flip rate and judge The redundancy scheme that needs to be adopted; 6) Implement the redundancy scheme through the control unit of the FPGA system; 7) Calculate and evaluate the availability and performance of the adaptive FPGA system. The present invention comprehensively considers the situation in the actual application of the FPGA, weighs the contradiction between usability and performance resources, and dynamically changes the adaptive redundant structure of the FPGA system according to the expected radiation level (SEU rate), thereby improving the efficiency of the system when performing tasks, reducing the It ensures the power consumption of the system when there is no failure, and has good portability.

The embodiment of the present invention discloses a custom service generation method, device, computer equipment and storage medium. The method includes: the service interface obtains service demand information; the service interface corresponds to multiple function points, and the list of function points and service plug-in instances Associated, the business plug-in instance is generated through the plug-in configuration file corresponding to the business interface; the business interface obtains the business plug-in The plug-in instance and the demand parameter information obtain the execution results of the function points corresponding to each function point; the business interface combines the execution results of the function points corresponding to each function point to obtain the business processing results corresponding to the business requirement information. The technical solution of the embodiment of the present invention realizes flexible support of individual requirements of each service and fault isolation of each service.

The invention discloses a data processing method and device and belongs to the field of databases. The method comprises: determining a to-be-processed data line in a data table; educing the to-be-processed data line in n batches; deleting the data line which is educed in each batch from the data table; or, deleting the data line from the data table after the data line is archived to another data table. According to the data processing method and device disclosed by the invention, the educed data line is deleted by virtue of multi-batch data educing operation and less data educing operation of each batch, so that the problem in the correlated technology that the usability of the database is affected by relatively long data deleting time is solved; and when the large-scale data is deleted or archived, the data table is not locked on a large scale, the pressure on the data table in unit time is relatively small and the performance of the data table is not affected, so that the effect of the usability of the data table is improved.

The invention discloses a distributed file system data importing method and a distributed file system data importing device. The method comprises the following steps that: data contents are stored onto a storage node or a storage medium capable of being accessed by a source file system and a target file system; a data organization mode is determined according to a storage format of the target file system; an index node and a metadata organization structure of metadata in the target file system are built according to a metadata organization structure of the source file system and / or requirements of users; the storage information of the metadata in the target file system is regulated according to the data metadata mode, so the storage information of the metadata correctly points to the data contents stored on the storage node or the storage medium; and the corresponding data contents are read from the storage node or the storage medium according to the metadata in the target file system.

The invention discloses a data hiding method based on a Lagrange interpolation method and multiple clouds, which is applied in a system under a multi-cloud environment. The system comprises four parts: a user, a client, a data uploading layer, a data downloading layer and the clouds; before data are uploaded, an information segmentation algorithm of Reed Solomon erasure codes is used for segmenting the user data on the client, the Lagrange interpolation method is then used for carrying out information hiding on each block of segmented data, and finally, each block of data is stored in a different cloud storage. During data downloading, the data only need to be obtained from part of the cloud storages, the Lagrange interpolation method is first used for carrying out hidden information recovery on each block of data, and a recovery algorithm in Reed Solomon is then used for merging the data blocks to recover the original data. The data hiding method based on the Lagrange interpolation method and the multiple clouds solves the availability problem of services and the limitation of a single cloud storage; while reducing storage spaces, the usage of the Reed Solomon algorithm can tolerate the errors of the cloud storages; the usage of the Lagrange interpolation method solves the confidentiality problem of data, protecting the privacy of user data.