20 results about "Web application framework" patented technology

The utility model belongs to the technical field of T-beam web framework machining, and discloses a T-beam web framework rack car which comprises a base and rack car modules, at least two rack car modules are distributed on the base in the first direction, any rack car module is locked on the base through a locking module, and each rack car module comprises a rack, a positioning mechanism and a clamping mechanism. The clamping mechanism and the positioning mechanism are both arranged on the rack, the clamping mechanism is configured to clamp the two opposite sides of the stirrup in the second direction, and the positioning mechanism is configured to enable the stirrup to be in a vertical state; the first direction and the second direction are horizontal directions perpendicular to each other. According to the T-beam web framework bench car, the number of the bench car modules can be adjusted according to the length of a T-beam web framework, and the application range is wide.

A device includes a processor and a memory storing executable instructions which, when executed by the processor, causes the processor, alone or in combination with other processors, to perform the following functions: in a browser environment, initiate a web application on a main thread; while the web application is launching, with a web worker having a separate, worker thread, retrieve data for the application from a server environment; store the retrieved data with the web worker in an indexedDB; and provide the data from the indexedDB to the web application when the web application is ready for the data so as to decrease an amount of time for the web application to launch.

The invention discloses a concrete material mechanical property database management system and an establishment method and application thereof, and the establishment method comprises the following steps: constructing an underlying database based on a relational database management system, constructing a back-end logic module through an integrated development environment, and achieving front-end and back-end communication through a Web application framework, a user interaction interface is developed to support a data management function; the method comprises the following steps: acquiring the composition and mechanical property data of a concrete raw material, sorting and classifying the composition and mechanical property data of the concrete raw material, respectively storing the data of a raw material part and a mechanical property part in different data tables, and constructing a preprocessing method for the composition-mechanical property data of the concrete raw material; and designing a login interface, a main interface and a data display interface of the database management system. Collection and arrangement of concrete mechanical property data are accelerated, and a solid data foundation and an experiment space are provided for intelligent design of concrete.

A method of validating a web browser when scripting is disabled, the method includes validation by default through using an automatically defined database metadata catalog to programmatically build forms with validation and validation messages based on the metadata, business logic, and application validation logic. The present invention creates client and server-side validation based on validation rules stored in tables and metadata types along with column sizing and business logic defined by the data modelers or developers. The method mimics a JavaScript framework with user interface and style elements when the client browser's settings are set to disable scripting.

The method for generating multi-modal summary of news customization comprises the following steps: first, inputting picture and text data into multi-modal encoding based on BART, and realizing multi-modal interaction in the encoding process; meanwhile, a picture-text matching module is added to select the corresponding sentence of each picture, and a cross-attention layer is added in the decoder; then, an abstract scoring model is constructed, the similarity between the candidate abstract and the news text is calculated as the score, and the optimal abstract is selected; the ROUGE score between the sentence corresponding to the picture and the optimal abstract is calculated as the text similarity score, the picture-text similarity score is obtained by combining the picture features after multi-modal interaction, the picture selection probability is obtained, the picture with the highest probability is selected as the model selected picture, and a multi-modal news abstract is generated. The system adopts B / S architecture, uses a lightweight Web framework Flask to build, and uses the Layui open source framework to realize the construction of the interactive interface. The application effectively improves the accuracy and richness of the multi-modal summary generation of news, and has strong robustness.

The invention discloses an intelligent mining method for ionic liquid lubrication performance data based on multi-modal deep learning, which comprises the following steps of: firstly, acquiring literature abstracts and key text segments in the field of ionic liquid from an online database, and constructing a field corpus; constructing an entity identification data set and a relation extraction data set containing predefined entity types by utilizing a labeling tool; secondly, on the basis of the general BERT model and the established corpus, continuous pre-training is carried out through tasks such as a mask language model, and a pre-training language model ILsBERT with a specific field is established; afterwards, the ILsBERT is finely adjusted by utilizing the entity identification data set, and named entity identification is carried out by adopting a mixed architecture of Transformer (ILsBERT), BiLSTM and CRF, so that enhanced semantic vector representation is obtained, and a text sequence tag is predicted; thirdly, utilizing the relation extraction data set to finely adjust ILsBERT, mining semantic relations between entities through a relation classification model, and forming a structured lubrication performance data set; and finally, carrying out standardization processing on the extracted data set, storing the data set into a structured database, providing data export, an API interface and a visual interface based on a Web framework, and supporting interactive data retrieval, filtering, statistical analysis and display. According to the method, efficient information extraction, standardized storage and visual analysis of the ionic liquid lubrication literature are realized through the field pre-training model and the specific downstream task architecture.

The invention discloses a blood pressure early warning system in hemodialysis treatment based on a wearable monitoring device, comprising: a wearable monitoring device, which comprises an STM32F103C8T6 core board, an MQ-R-12 heart rate and blood pressure module, a DS18B20 temperature sensor, an ESP8266WIFI transmission module, an OLED12864 display module, an LED single indicating lamp, a buzzer, and a Type-c interface; the hemodialysis treatment module adopts a front-end and back-end Web framework of Vue + Django, and a directive tagging blood pressure abnormity prediction algorithm is embedded in the hemodialysis treatment module; real-time, efficient and rapid data transmission between the wearable monitoring device and the hemodialysis treatment module adopts an MQTT internet transmission protocol and an EMQX information server; the medical staff can conveniently operate and record the related treatment information of the patient, monitor and predict the abnormal blood pressure in real time, and visually display the abnormal result, so that the medical staff can be timely reminded to carry out corresponding clinical treatment.

This invention relates to the field of medical information processing technology, and more particularly to a method, system, and platform for predicting gamma globulin-unresponsive Kawasaki disease. Clinical data from affected children is collected, preprocessed, and feature-selected to obtain eight key features. An ensemble learning algorithm is used to construct and validate a prediction model. During prediction, the eight features are input into the model, and the output risk probability is used. The results are then interpreted using SHAP (Shape Algorithm for Predicting Risk) to generate a visual representation. The system is deployed as a prediction platform via a web framework. This invention is based on multi-center data, exhibits strong generalization ability and good interpretability, and is easy to apply rapidly in clinical practice.

The aim of the invention is to define a method that provides a simple and efficient way for creating and / or customizing a user interface on the client side, in particular that the options so made immediately during the production run will be highly desirable. According to the present invention, this object is achieved by a method for generating a user interface (MMOM UI) in at least one MOM system that controls a manufacturing environment of various manufacturing resources existing in a plurality of business domains, the method comprises the following steps: a) providing a business domain model for each business domain, said business domain model comprising, in addition to other information, all related information of resources and objects and attributes thereof in a particular business domain, the attributes of said resources and objects potentially being themes of UI tags (multiple UI tags); b) generating a set of metadata (MOM metadata) from all business domain models, the set of metadata comprising information related to resources and objects and their related attributes; c) enhancing the metadata set to include additional UI-related information regarding how these business domain models should be presented; d) utilizing, by a dynamic rendering engine executing in the manufacturing environment on the client side, the metadata set about the business domain model, including enrichment using UI-related information; e) selecting information to be displayed in a user interface (MMOM UI) via an interface provided by a web framework (SWF), which provides the metadata set to the user in a selectable manner, according to the available metadata set; and f) using the selected information by the dynamic rendering engine to generate a user interface (MOM UI) showing the selected information from the rendering data in the metadata set and the enhanced UI-related information. Thus, the present method eliminates the need for an intermediate design stage that requires a running application to design or develop a UI page. With the present invention, a client user can design and configure a UI in one stage along with the rest of the business domain model, without having to have a running software development system. Both the business domain model and the corresponding UI are developed / deployed / published together at one time.

This application discloses a cloud application engine deployment method, apparatus, device, and storage medium that shields users from Web frameworks. The method includes: executing an initialization script at container startup to download runtime environment files to a designated location in the container; the initialization script downloads a public framework script and a user script from a designated location; the initialization script specifies that the public framework script be executed using the locally downloaded runtime environment; the public framework script loads the user script and is registered as a global handler; the caller calls a Web interface, finds the corresponding handler, executes the code in the user script, and returns the result. This method aims to shield program developers from Web framework and container knowledge, reducing implementation complexity and cost, and also solving compatibility issues with runtime environment file migration.

The application relates to a web application framework vulnerability detection method and device and computer equipment. The method comprises the following steps: obtaining a first process name of a first process running a program of a target web application and framework version information of the program according to an import function of the program; obtaining a second process name of a second process corresponding to at least one web application in a server and path information of the second process; comparing the first process name and the second process name; in the case that the first process name and the second process name are the same, determining framework vulnerability information of the target web application based on the framework version information of the first process and the path information of the second process. The web application framework vulnerability detection method provided in the application embodiment can quickly locate the framework position and timely repair, can reduce or avoid losses caused by the vulnerability at the first time when the vulnerability is found, and effectively improves the repair efficiency of the framework vulnerability.

The invention belongs to the technical field of multi-index evaluation systems, and particularly relates to a multi-dimensional evaluation analysis method and system for the scientific and technological innovation service industry. The method comprises the following steps: firstly, reading and obtaining multi-source heterogeneous data of the scientific and technological innovation service industry through a CSV file, wherein the multi-source heterogeneous data covers 27 innovation level indexes, 16 innovation efficiency indexes and 8 dynamic monitoring indexes; the method comprises the following steps: preprocessing and standardizing multi-source heterogeneous data, constructing three sets of independent index systems, respectively adopting an AHP (Analytic Hierarchy Process) and an entropy weight method to carry out weight distribution, and calculating a comprehensive score and a first-level index score; and based on an ARIMA time sequence prediction model, performing trend prediction on the score of each index system. Visual display is based on a Flask Web framework, an ECharts chart library is adopted to achieve various visual schemes such as a ranking chart, a radar chart, a trend chart and a thermodynamic chart, and interaction functions such as province comparison, time screening and data drilling are provided. Through a multi-dimensional evaluation system and intelligent prediction analysis, scientific evaluation and decision support is provided for the development level of the scientific and technological innovation service industry.

This invention relates to the field of autonomous driving technology, providing a method and system for autonomous driving simulation testing based on functional design documents. The method includes: sending a simulation test form to the cloud and receiving an intermediate simulation test scenario file returned from the cloud; the simulation test form is obtained by sequentially parsing and classifying requirement management information; the requirement management information is extracted from the functional design document; the intermediate simulation test scenario file is obtained by running a form processing tool based on the Django web framework, using the simulation test form as input; the form processing tool is deployed in the cloud; a simulation test scenario is generated based on the intermediate simulation test scenario file, and autonomous driving simulation testing is performed based on the simulation test scenario. The simulation test scenario obtained by this invention can comprehensively cover the requirement management information in the functional design document, better meet testing requirements, and eliminates the step of secondary selection of scenario sets based on requirements in existing scenario construction methods.

The present application belongs to the field of web page development technology, and the present application provides a processing method, device, computer equipment and computer-readable storage medium for extending WeChat applet. In order to solve the problem of low compatibility when extending Flutter application to WeChat applet, the present application obtains the initial web page request of WeChat applet by presetting WeChat applet component, responds to the user's input event, converts the initial web page request into a web page request based on a preset web framework, and calls the preset Flutter application to process the web page request, obtains a web page drawing instruction, converts the web page drawing instruction into a WeChat component web page drawing instruction of the WeChat applet component, and executes the WeChat component web page drawing instruction based on the WeChat applet component to perform web page rendering corresponding to the initial web page request, which can improve the compatibility between the Flutter application and the WeChat applet end.

The present invention provides an information development system based on a web framework, a computer device, and a computer program product, which executes web application generation in a development mode with separate front-end and back-end and interoperability. First, based on the decomposition of system functions, the present invention establishes a fitting development bus, maps the development functions to the bus architecture, and separates the two major system development elements of data processing and function implementation. Secondly, a user plane mapping layer is used to provide front-end system functions and connect to the middle layer to achieve the clustering of user data and user requests. Thirdly, the present application adopts the Django architecture as the basic logic for system back-end processing. On this basis, compared with the prior art, a multi-modal system processing back-end for matching request classification is preferably introduced to finely process different types of user plane requests, implement an orderly request data processing logic, and significantly improve the development efficiency, ensure system performance and security, and support cross-platform applications by reasonably selecting a Web framework.

Techniques for embedding a web browser in a graphical display view of a process plant include rendering the graphical display view, which includes: (i) indications of one or more process control elements (such as control modules, function blocks, process plant entities, or process segments of a process plant), and (ii) a web browser with web content from a source address. The web browser is rendered based on one or more rendering parameters, such as the size and position of the web browser within the display view. Furthermore, the rendering parameters include restrictions on the functionality performed in the web browser, such as sandboxing or sandbox attributes. The rendering parameters also include a source whitelist, which specifies web addresses that are allowed to be set as source addresses for rendering the web content.

The present disclosure generally relates to systems and methods for deploying services independently while maintaining a unified local development environment. Such systems may advantageously allow developers to work locally with familiar web frameworks and configure how monolithic API endpoints will be split and deployed into separate servers. For instance, because the code base is shared locally, each service will have access to shared dependencies.

The present disclosure generally relates to systems and methods for independently deploying services while preserving a unified local development environment. Such systems may advantageously allow developers to work locally with familiar web frameworks and configure how monolithic API endpoints will be split and deployed into separate servers. For instance, because the code base is shared locally, each service will have access to shared dependencies.

The present invention discloses a structural monitoring and evaluation system integrated with data trend prediction. Based on the Flask lightweight Web application framework and the long short-term memory neural network algorithm, an algorithm system integrating user management, website homepage and functional modules is built. With the intuitiveness of Web-side operations, the whole process of model construction, training and prediction is presented as what you see is what you get, effectively improving the convenience for engineering personnel to use machine learning algorithms to realize the trend prediction of monitoring indicators.

This invention discloses a multi-agent dynamic narrative system based on flow theory and its collaborative optimization method, relating to the intersection of artificial intelligence and interactive digital entertainment. The system adopts a front-end / back-end separation architecture, with the front-end based on the Vue.js framework and the back-end relying on the Python Quart asynchronous web framework. The core is the multi-agent collaborative processing module (FlowMAS Core). This module includes four essential agents—a topic manager, a scene builder, a conflict generator, and a narrative generator—executed in a fixed order, as well as an asynchronously running analyzer that optimizes the agent. Through a collaborative mechanism of topic hierarchy maintenance, scene logic constraints, dynamic calibration of challenge difficulty, narrative text generation, and iterative updates of user profiles, a dynamic balance between skills and challenges is achieved, maintaining the user's flow state. The system supports modular hot-swappable design, balancing real-time interaction and deep analysis, solving problems such as insufficient flexibility and fragmented narrative in existing systems. It can be widely applied in fields such as games, education, and psychological therapy.