37 results about "Dynamic Extension" patented technology

The invention provides a multi-level page table traversal acceleration method, system and device and a medium, and belongs to the technical field of computers. The method comprises the following steps: inputting a virtual address into a path predictor and a dynamic weight hierarchical cache, and collecting an instruction access proportion, a TLB hit rate and a pre-fetching success rate in real time; performing hash calculation according to a preset bit of the virtual address through a path predictor, and querying a historical record table to obtain a prediction path and a confidence level so as to determine a query range; when the cache is hit, scores of hit entries are calculated, priority ranking and elimination decision making of the cache entries are carried out, and meanwhile, the cache entries are managed by adopting a hybrid replacement algorithm; under a preset condition, starting a prefetch operation through an adaptive prefetch engine, calculating and dynamically expanding a prefetch step length, and preventing memory bandwidth contention through two-stage monitoring; when the instruction access proportion, the TLB hit rate and the prefetching success rate meet conditions, an instruction priority mode is activated, and scores of hit entries are updated by adjusting related calculation parameters.

The invention discloses a low-code platform design system based on modularization and a dynamic extension component, and relates to the technical field of low-code development, and the system comprises a form module which is used for standardly defining a data model and dynamically rendering a user interface, realizing unification of form configuration through a structured metadata specification, and establishing a form module; bidirectional binding of the view and the data model is realized; the process module is used for realizing modeling, execution and state management of a business process, supporting automatic task scheduling and multi-instance management based on standardized process elements, and keeping consistency of a process state through an increment synchronization mechanism; and the data processing module is used for cooperatively managing platform data resources, supporting dynamic expansion and decoupling dependence between the form module and the process module through an event-driven mechanism. According to the method, the strong binding relationship between the decoupling form and the process is established, the reusability of the process module is improved, and the process module is independent of the form and can independently provide API service to the outside, so that the method is adaptive to more business scenes.

The invention discloses an integrated design management system with an automatic registration communication agent engine and a method thereof, and relates to the technical field of software integrated design simulation. The method has a heterogeneous integration breakthrough, the five communication modes are matched with the software without the API / command line / file, different heterogeneous software can support one communication mode, and the integration cost is remarkably reduced; dynamic expansibility is achieved, a newly added software module only needs to deploy a proxy engine and configure registration, and zero-shutdown upgrading of the platform is achieved; high concurrency reliability is achieved, resource conflicts are solved for an instance mechanism, and parallel task efficiency is improved; and full-process automation is achieved, and the cross-software design process execution time is obviously shortened.

This invention relates to an enterprise-level full-stack low-code development platform based on a model-driven and plug-in architecture, belonging to the field of computer technology. It addresses the problems of poor scalability, performance bottlenecks, high security risks, and inflexible deployment inherent in existing platforms. The invention includes: a visual development tool providing a form designer and workflow engine, supporting drag-and-drop development and real-time preview; a plug-in extension module, implemented based on the PF4J framework, supporting dynamic loading, unloading, and isolation of plug-ins; a data integration and management module providing an API gateway, multi-source data integration, and data model management; and an application deployment and maintenance module for one-click automated deployment and log auditing. This invention achieves dynamic functional expansion through a plug-in architecture, optimizes performance in high-concurrency scenarios through a workflow engine, enhances security, and provides more flexible deployment, improving the development and maintenance efficiency of enterprise-level applications. It is suitable for application scenarios such as government approvals.

The present invention discloses a dynamic expansion method, system and medium of an S3 standard object storage interface, and belongs to the field of computer storage technology. The method includes: a system initialization stage; an upload request stage, a double verification is performed on the file upload request, and if the verification is passed, the file upload request is sent to the file processing module; a request processing stage, the file processing module verifies the received file upload request again, and executes different processing procedures according to the type of the file upload request; a flow control and recording stage, flow control and flow recording are performed according to the uploaded flow data; an exception and security event processing stage, during the file upload process, if any module has an internal error, an error report is immediately generated, and exception processing is performed. Through triple verification, while ensuring data security, different processing methods are made according to different request types, thereby improving processing efficiency.

The invention relates to the field of program development, and provides an iOS system dynamic interaction scene construction method and system. The method comprises the steps that a dynamic class construction tool is developed, page classes are dynamically registered and class members are added when an application runs, and a page class structure capable of being dynamically expanded is obtained; defining a communication protocol between the application and the cloud, obtaining rendering parameters from the cloud based on the communication protocol, assigning the rendering parameters to view attributes of page class instances corresponding to the page class structures, and obtaining a dynamic view module comprising page objects; pre-defining a user operation event, binding the user operation event to a corresponding view of the page object according to event binding configuration of the cloud, and obtaining an event response module; setting a dynamic code execution entry in a system life cycle event of the application so as to execute a JavaScript code issued by a cloud end and obtain a logic execution module; and assembling a rendering system, generating a native UI interface and responding to user interaction operation. The dynamic interface updating of the application is realized, and the user experience is improved.

This invention relates to the field of information technology, specifically to a method and system for dynamically extending remote invocation based on Java dynamic bytecode. The method includes: establishing a C / S architecture, setting up a communication channel between the client and server, with the server providing an interface for maintaining remote invocation tasks of Java source code type; defining remote tasks of Java source code type through the interface, dynamically pre-compiling the Java source code into task bytecode using Javassist, and storing it on the server; the server initiating a remote invocation to a specified client using remote invocation task ID, version number, and business data as parameters; the client creating a custom ClassLoader to remotely load the task bytecode from the server and generate a Java class; and the client executing the method of the remote task object and returning the invocation result. This invention performs a single compilation, allowing multiple clients to run the code, eliminating the need for repetitive client-side compilation.

The present invention belongs to the field of electronic design automation technology, and specifically discloses a method and system for implementing a dynamic logic optimization EDA synthesis tool based on script extension, including: constructing a script interface layer, exposing the functions and data structures of a core engine layer implemented in a compiled language to a script language environment through a binding tool; when the EDA synthesis tool is running, dynamically loading user scripts and instantiating proxy objects in the script environment through the script interface layer; the proxy objects hold references or pointers to the original netlist data structure instances in the core engine layer memory; the user scripts directly access and modify the original netlist data in the core engine by operating the proxy objects, and continue subsequent processes based on the modified netlist. The present invention realizes the dynamic expansion of optimization logic without recompiling the tool, while avoiding the data copy overhead of traditional script interaction through direct memory access, ensuring high performance.

The application provides a dynamic expansion method of a model and a device thereof, and relates to the technical field of terminal equipment, financial technology and information technology industry. The application determines a target component from a graphical component library, generates a business model based on the target component, structures the business model in a meta model, obtains metadata of the business model, and reflects the metadata to generate a Java object of the business model runtime. The application provides a method for writing a business model through graphing, which can quickly generate a backend Java object while generating a front-end webpage. Compared with a traditional programming code writing method, when an application developer designs an application through a visual method, the threshold is low, the iteration speed is improved, the model function can be dynamically enhanced at runtime, the model method does not need to be defined in advance, the program maintenance cost is reduced, and the expansion capability of the program is improved.

Provided are a dynamic expansion method and device for attribute data and a storage medium, which can realize dynamic expansion of attribute data of a complex type. The method comprises: obtaining attribute data to be dynamically expanded and target attribute data templates corresponding to the attribute data, which have been subjected to flattening mapping processing. Further, the target attribute data is subjected to flattening mapping processing to obtain a second mapping relationship, which can be a primary key value format. Then, according to configuration information or verification rules of each attribute defined by the target attribute data templates subjected to flattening mapping processing, dynamic attribute verification processing is performed on the value of each attribute of the attribute data subjected to flattening mapping processing to obtain a dynamic attribute verification processing result of the attribute data. Further, the target attribute data is dynamically expanded according to the dynamic attribute verification processing result of the target attribute data.

The application provides a multi-level page table traversal acceleration method, system, device and medium, and belongs to the technical field of computers. The method comprises the following steps: inputting a virtual address into a path predictor and a dynamic weight hierarchical cache, and collecting an instruction access proportion, a TLB hit rate and a prefetch success rate in real time; performing hash calculation on the virtual address according to a preset bit of the virtual address by the path predictor, querying a history record table to obtain a predicted path and a confidence level, so as to determine a query range; when the cache hits, the score of the hit entry is calculated, the priority of the cache entry is sorted and the elimination decision is made, and a hybrid replacement algorithm is used to manage the cache entry; under a preset condition, a prefetch operation is started by an adaptive prefetch engine, the prefetch step is calculated and dynamically expanded, and memory bandwidth contention is prevented through two-level monitoring; when the instruction access proportion, the TLB hit rate and the prefetch success rate meet the conditions, an instruction priority mode is activated, the score of the hit entry is updated by adjusting the related calculation parameters.

The invention provides a public component development management method. The method comprises the following steps: establishing a code writing specification, a dynamic expansion mechanism, a code annotation specification and a version control strategy for developing a public component; establishing a development team training mechanism and a code review mechanism based on the code writing specification; designing dynamic parameters based on a dynamic expansion mechanism; optimizing the annotation document based on the code annotation specification; and managing the version of each public component in the public component library based on the version control strategy. By establishing a series of management specifications and optimization mechanisms, the development efficiency, quality and maintainability of the public component are improved, and the flexibility and expandability of the public component are enhanced. Through the implementation of the steps, it is ensured that developers can rapidly and easily integrate and call the public components, and meanwhile customized configuration and expansion can be conducted according to specific requirements of the project, so that the development efficiency is improved, the maintenance cost is reduced, and successful implementation of the project is promoted.

The application relates to the technical field of computers and provides a document automatic generation method and system based on a language generation model, which comprises the following steps: in response to generation request information, creating a task scheduling management unit, defining a plurality of initial tasks and creating corresponding task description bodies, and constructing a task association topology based on data dependency relationships; the task association topology is cyclically scanned, schedulable tasks are identified and submitted to a concurrent execution unit for parallel processing, and a language generation model is called to generate content segments; after target task execution is completed, a new task description body is generated based on the output result, corresponding dependency relationships are established and registered to the task association topology, and result-driven incremental topology growth is realized; after all the tasks are completed, the content segments are synthesized and content integration processing is performed, and a target document is generated. The application realizes efficient concurrent generation and dynamic expansion of the structure of the document, and guarantees context consistency.

The invention provides a modular PLC (Programmable Logic Controller) system with an extensible high-computing-power unit, which comprises a basic control unit which is provided with an extensible framework, can be dynamically extended and accessed into a high-computing-power extension unit and a process package storage unit, receives an input signal, processes the input signal through pre-programmed logic, identifies parameters of the high-computing-power extension unit and stores the parameters of the high-computing-power extension unit; dynamic resources are distributed to a high computing power extension unit to execute program logic, and a control instruction is output to realize automatic control of an industrial process; the high computing power expansion unit is used for being dynamically connected with the basic control unit, automatically distributing computing tasks through a computing power evaluation algorithm and processing complex computing of the basic control unit; and the process package storage unit is used for dynamically loading a process model by adopting a parameterized configuration interface and comprises a parameterized template library generated based on an industrial standard control model, and the template library can perform process parameter configuration through an XML file.

Systems, computer program products, and methods are described herein for developers to initiate development operations from within a development environment of a user application. This can also be extendable dynamically for different user groups (e.g., testers, support, internal associates or employees, or the like), and environments (e.g., lower-level environments, production environments, or the like). As such, the invention offers a dynamic debug mode feature for virtual assistants based on different sections of users and environments.

The invention belongs to the technical field of electronic design automation, and particularly discloses a script extension-based dynamic logic optimization EDA comprehensive tool implementation method and system, and the method comprises the steps: constructing a script interface layer, and exposing the function and data structure of a core engine layer realized based on a compilation language to a script language environment through a binding tool; when the EDA comprehensive tool runs, dynamically loading a user script, and instantiating a proxy object in a script environment through a script interface layer; the proxy object holds a reference or a pointer pointing to an original netlist data structure instance in the memory of the core engine layer; and the user script directly accesses and modifies the original netlist data in the core engine by operating the proxy object, and continues the subsequent process based on the modified netlist. According to the method, the logic is dynamically expanded and optimized under the condition that a tool is not recompiled, meanwhile, the data copy overhead of traditional script interaction is avoided through direct memory access, and high performance is guaranteed.

Aspects of the disclosed techniques include a compilation process, e.g. for an accelerated linear algebra (XLA) compiler. The compilation process includes identifying, for each processing device of multiple processing devices in a distributed computing system, a respective portion of the uncompiled code that is to be executed by the processing device, retrieving a respective workload for each of the multiple processing devices defining an analysis of processor utilization for the respective portion of the uncompiled code that is to be executed by the processing device, and injecting a power state instruction into a respective portion of the compiled code corresponding the respective portion of the uncompiled code, that is to be executed by each of the multiple processing devices. The power state instruction identifies a voltage setting and a frequency setting that the processing device is instructed to apply when executing the respective portion of the compiled code of the computer program.

The class incremental learning method based on multi-granularity distillation and weight alignment comprises the steps that under a given wireless electromagnetic signal data set, an incremental deep learning classification model is initialized, and the model dynamically expands an output layer to adapt to a newly-added class; for a training sample of a current task, inputting the training sample into the model for forward propagation, obtaining a prediction score vector of the model on each category, and calculating cross entropy classification loss for learning discriminant features of a newly introduced category in the task; after training of each task is completed, forward propagation is carried out on all training samples of the current task by using the current model to obtain logs representation of the training samples, and clustering is carried out; in each iteration in the training process, calculating cross entropy loss by using a training sample of a current task, and forming a loss function of a historical task sample; after task training is finished, weight alignment operation is executed, and the difference of new and old category classifiers in weight amplitude is eliminated; and repeating the above steps, performing incremental learning task by task, and continuously performing model parameter updating and memory bank maintenance until all incremental learning tasks are completed.

The present application belongs to the technical field of computer vision, and particularly relates to an open-vocabulary object detection method based on multi-modal fusion and dynamic expansion, aiming to solve the problems of insufficient robustness of visual features, static multi-modal fusion, and poor flexibility of class expansion in the prior art. The method first acquires an image to be detected and text information containing class and scene description, extracts features through a visual encoder and enhances them through a robust noise reduction layer, and then generates a candidate detection frame through a full convolutional network, while extracting text features through a CLIP text encoder. Subsequently, the candidate region features are extracted, dynamically fused through an adaptive multi-modal fusion module to generate cross-modal joint features, and finally the detection frame is screened and the confidence is calculated according to the feature similarity. The model training fuses the InfoNCE loss and the cross-entropy loss to optimize the parameters, and the new class dynamic expansion can also be realized through the analysis of natural language by a generative language model. The present application significantly improves the robustness and accuracy of detection in complex scenes, optimizes the multi-modal fusion efficiency, greatly reduces the cost of new class expansion, and the model meets the real-time detection requirements after acceleration, has good engineering deployment advantages, and can be widely applied in the fields of intelligent monitoring, automatic driving and the like.

The invention relates to the field of automatic discovery of dynamic extension discovery capability of an agent, and particularly discloses a Java automatic discovery method and device for dynamic extension discovery capability of an agent in combination with Jython, and the method comprises the following steps: S1, creating a tool or editing the tool, configuring basic information of the tool, editing a python script and binding the python script with the tool, and storing the tool in a database; s2, obtaining and reading a tool in the database, downloading the tool and setting parameters, running a python script in a tool process by using Jython, obtaining data collected by the script, and uploading the collected data to the database. According to the method, the automatic discovery agent program developed based on Java can have the capability of dynamically expanding automatic discovery under the condition that a new version is not issued, capability expansion development can be efficiently and conveniently carried out, and the operation and maintenance deployment cost is greatly reduced.

The invention provides a hierarchical topic classification continuous training method capable of dynamically expanding categories, and belongs to the field of natural language processing. In order to solve the problem that a neural network model is forgotten due to the fact that historical training data cannot be obtained during continuous training, available data is used for carrying out label structure rollback to simulate historical data, that is, when a label structure is expanded, an expansion part is removed by using a historical label structure for a small amount of available new data, and the probability that the neural network model is forgotten is lowered. Historical training data is simulated, new data constructed by label rollback and possibly existing historical data are mixed, and then training is continued by using a mixed model on the basis of an original model to obtain a model adaptive to a new label structure. According to the method, similar data is constructed under the condition of missing historical data through label rollback, forgetting of a neural network model in continuous training is relieved, and the capability of dynamically expanding a label structure of a hierarchical topic classification model is improved.

The invention discloses an information flow and logic block interaction method based on a responsive programming framework, and relates to the technical field of application development. The information flow and logic block interaction method based on the responsive programming framework comprises the following specific steps: constructing a dynamic information framework; integrating a plurality of logic blocks into a framework to complete dynamic flow of information and combination of capacity; constructing a system architecture; and the constructed dynamic information framework is applied to a plurality of distributed hosts, and dynamic integration and sharing of resources of the plurality of distributed hosts are completed through loop parameters. According to the invention, the dynamic integration and sharing state of the distributed host resources is realized through the loop parameters and the loop interaction mechanism, and the architecture not only can manage the distributed resources in a unified manner, but also can dynamically expand and swallow new host resources, so that a highly flexible and extensible system is formed.

The embodiment of the invention relates to the field of data conversion, and provides a multi-source domain-specific language metadata conversion method and computing device.The method comprises the steps that in response to received domain-specific language DSL data, the language type of the DSL data is obtained; based on a first grammar rule corresponding to the language type in a preset grammar rule base, analyzing a semantic structure corresponding to the DSL data; converting the semantic structure into first metadata according to the semantic structure and a preset mapping rule base; and processing the first metadata to generate second metadata conforming to a preset format. Based on the scheme, unified analysis and conversion can be carried out on the multi-source DSL data, the adaptation cost is effectively reduced, and the expansibility and compatibility of the system are improved. And through the modular design of the grammar rule base and the mapping rule base, the analysis capability of dynamically expanding the new type DSL is supported, and the adaptation cost of an external development platform is reduced.

The invention provides a self-evolution model generation and real-time optimization method for an intelligent dialogue system and a related device, and relates to the technical field of artificial intelligence. By establishing a collaborative optimization mechanism, dynamically expanding a model architecture and realizing real-time iterative update, the problems of model update lag, learning mechanism isolation, architecture stiffness and iteration delay are solved, and the method has the advantages of improving the dynamic adaptability, collaborative optimization capability and real-time response efficiency of the system.

The present application provides a multi-version dynamically extensible data source method, device, terminal and storage medium, which relates to the technical field of database data source loading. The method includes: creating a JAVA SDK package, the JAVA SDK package includes core dependencies, core entity classes, core interface classes, database connection pool management core classes, thread isolation, routing data source classes and basic properties of routing data source classes and target data source mapping, the target data source mapping is used to store the loaded database connection pool; based on the JAVA SDK package, initialize the system database connection pool in the application system; after initializing the system database connection pool in the application system, based on the JAVA SDK package, dynamically expand the new database connection pool in the application system. The present application has powerful dynamic expansion capabilities and loosely coupled design features, which can greatly improve the flexibility and extensibility of the system and reduce development and maintenance costs.

According to the low-code platform dynamic expansion system and method based on the standardized plug-in architecture, metadata, interfaces, dependency and authority specifications of the plug-ins are defined through the standardized meta-model, compatibility between the plug-ins and the platform and compatibility between the plug-ins are ensured, and the fragmentation problem of plug-in development is solved. The AI capability engine supports plug-in full-life-cycle intelligent decision making, the development threshold is greatly reduced, and the development and use efficiency is improved. During running, the container adopts a modular framework, dynamic loading / unloading of the plug-in is supported, the platform does not need to be restarted, the platform is guaranteed to be continuously available, and the problem that a traditional plug-in needs to be shut down during loading is solved. Through resource isolation and role-based access control (RBAC) authority definition, the influence on the overall performance of the platform due to the abnormity of a single plug-in is avoided, the unauthorized operation is prevented, and the operation safety of the platform is ensured.

The invention relates to a function library maintenance and formula editor function, aims to provide a method for efficiently and conveniently managing and using a function library, and overcomes the defects of an existing formula editor in the aspects of function management and automatic complementation. The method comprises the following steps: constructing a function library management module for storing, classifying and maintaining mathematical functions and related information thereof; a formula editor module is provided, a user is supported to input and edit a formula through a graphical interface, and a function in a function library can be quickly inserted; a function automatic association function is realized, and functions are intelligently recommended according to user input contents; the method supports dynamic expansion and maintenance of a function library, allows a user to customize addition, modification and deletion of functions, and supports team cooperation and sharing. The method can significantly improve the efficiency of formula editing, simplify the management of the function library, support personalization and team cooperation, is especially suitable for the fields of scientific research, engineering, industry and the like, and has a wide application prospect.

The invention relates to the field of distributed operating systems, and discloses a dynamic expansion-supporting hybrid architecture-based swan-gap system adaptation method, which is technically characterized by comprising a registration verification step, verifying the configuration file of the application module through a preset multi-dimensional verification mechanism to obtain a registration verification result; an operation monitoring step: during the operation period of the application module, acquiring the resource use condition of the application module in real time by using the improved monitoring index set, and generating multi-dimensional monitoring data with a time stamp; a resource demand prediction step: obtaining the multi-dimensional monitoring data, generating a prediction result based on the time sequence prediction model, the prediction result reflecting the resource demand of the application module in the future time period; and a dynamic resource adjustment step: according to the prediction result and the registration verification result, dynamically adjusting the resource allocation of the application module by using a preset dynamic resource adjustment strategy.