7results about How to "Guaranteed readability" patented technology

The invention provides an IVR (Interactive Voice Response) framework implementation method and system based on JAVA, a VXML 2.0 protocol is taken as a basis, a form of a custom XML (Extensible Markup Language) label is packaged through JAVA according to a service scene, and the custom XML label is packaged with a VXML 2.0 standard function and a service logic to realize various functions in an IVR service; in the telephone traffic request initialization scene, the IVR service platform triggers a service request through an HTTP interface request mode; in a business process assembly scene, arranging and assembling the packaged self-defined labels according to business scene requirements; and in the business analysis scene, the assembled XML document is output, and the IVR service platform carries out analysis operation to complete related telephone traffic actions, so that the rapid completion of the IVR telephone traffic process is realized. According to the invention, the service calling function of the IVR process can be realized in a relatively universal manner. And application developers only need to have a JAVA basis, so that the difficulty of application development is reduced, and the research and development quality is also ensured.

The invention discloses a typesetting method and typesetting equipment capable of printing while shooting, a medium and a program product, and relates to the technical field of image processing and intelligent printing. On the basis of converting an original image into structured data and performing global mapping, the typesetting device divides consumables into a main visual area, an auxiliary visual area and an avoidance area, constructs a semantic adhesion cluster in combination with spatial adjacency between objects, and can detect whether an image-text module with close logic association can be split by a fold line or shielded by a hole. If conflicts occur, the limitation of global scaling is broken, and local scaling and offset coordinates are independently calculated for the adhesion clusters for adjustment. According to the derivation process of multi-dimensional feature interaction, the problems of visual blind areas and semantic segmentation of traditional two-dimensional typesetting in a complex three-dimensional pasting scene are effectively avoided, and the integrity and transmission accuracy of graphic and text information of special labels (such as flag-shaped labels and winding labels) in actual physical application are improved.

The application belongs to the field of natural language processing and artificial intelligence security evaluation, and specifically discloses a kind of classification model robustness automatic evaluation method and system based on text variation, comprising: obtaining text data set with original classification label and carrying out uniform mapping to heterogeneous label;Compound text variation is carried out for each sample text, and the core processing mechanism is to convert the implicit alias of the evaluation object noun, and the consistent replacement constraint is maintained in the same sample text;Then input the original text and the variation text into the same text classification model, compare the consistency between the corresponding prediction label and the original label of the two, and calculate the label retention ability and robustness evaluation index of the model under the condition of text variation.The application can evaluate the degree of dependence of the model on explicit object address, strong emotional words and fixed expression templates without changing the basic understandability of the text, and is suitable for robustness analysis of various text classification tasks based on artificial intelligence model.

The application belongs to the technical field of digital agriculture, and particularly relates to a blockchain traceability data management platform for digital agriculture, wherein the system comprises an agricultural product supply chain informatization module, a trust value quantification module, a two-dimensional code generation module, a local two-dimensional anti-fraud verification module and a traceability query module. The scheme constructs a distributed blockchain ledger network suitable for the agricultural product supply chain, allocates unique on-chain identity and permission to each link participant, generates a basic two-dimensional code bearing core data through a two-dimensional code generation library, triggers a smart contract to calculate a trust value in real time and uploads the trust value to the chain during traceability query, calculates a local hash value by extracting an on-chain identity embedded in a two-dimensional code to be detected, and compares the local hash value with a preset authorization list to complete legality verification, realizes real-time two-dimensional anti-fraud verification of the two-dimensional code without network dependence, can accurately trace and immediately intercept a counterfeit behavior, and provides a full-process anti-counterfeiting and traceable trust guarantee for agricultural product traceability.

This disclosure provides a memory programming method, memory device, and memory system. The method includes: performing a first programming on each memory cell to be programmed, such that each memory cell is programmed into N different first programming states; wherein N is a positive integer greater than 1 and less than M, and M is the total number of target programming states for the memory cells to be programmed; performing a second programming on the i-th group of memory cells in the first programming states, such that the i-th group of memory cells in the first programming states is programmed into k target programming states; wherein at least two groups of memory cells in the first programming states obtain different values ​​of the number of target programming states k after the second programming; k is greater than or equal to 1 and less than N; i is greater than or equal to 1 and less than or equal to N.

The application relates to the field of intelligent community operation and maintenance scheduling, and discloses an intelligent community property management system, which comprises a structured data access and mapping unit, a dynamic confidence calculation unit, a space-time consensus fuse check unit and a space gravity field scheduling engine.The structured data access and mapping unit is used for converting the structured event label of a service request into a basic score; the dynamic confidence calculation unit is used for calculating a confidence coefficient according to the historical operation and maintenance interaction record of an initiating user; the space-time consensus fuse check unit is used for triggering logical fuse and setting the priority to the highest when detecting that the number of space-time associated requests exceeds a threshold value; and the space gravity field scheduling engine is used for locking the highest priority request as an anchor point and weighting and correcting the priority of secondary requests in a physical neighborhood by using a space gravity coefficient when the fuse is not triggered, and generating an atomized continuous execution task package when the condition is met.The application introduces a space gravity field model, solves the dimensional conflict of logical sequencing and physical execution path, and avoids zigzag return scheduling loss.

The invention discloses a delivery receipt generation system for delivery service, and relates to the technical field of delivery receipt generation, and the system comprises a data collection module which carries out the original image collection of a physical paper delivery receipt, generates a physical pixel unit and a template pixel unit, and constructs a mixed visual pixel pool; the visual substrate processing module is used for extracting a real object pixel unit from the mixed visual pixel pool, executing gray scale inverse conversion, positioning a putting node based on a gray scale difference value and randomly putting fragments to form a cross-domain visual fragment fusion substrate; the anti-counterfeiting character embedding module is used for extracting a special-shaped embedding carrier of a cross-domain visual fragment fusion substrate based on connected domain analysis, and embedding the fine character units into the corresponding special-shaped embedding carrier to obtain a visual fusion image; and the output module is used for executing secondary gray scale inverse restoration on the non-core anti-counterfeiting region of the visual fusion image to generate an electronic delivery receipt with an anti-counterfeiting traceability mark, so that the beneficial effect that the visual form of the receipt cannot be copied is realized.