13 results about "Extensible architecture" patented technology

Methods and systems are presented for classifying a digital image of a document using a machine learning model framework. The machine learning model framework is configured to provide a classification output based on a fusion of features corresponding to different modalities and extracted from the digital image. The machine learning model framework includes multiple encoders. Each encoder is configured to encode features corresponding to a distinct modality into a respective embedding. Different embeddings generated by the multiple encoders are fused together using one or more fusion techniques. The fused embedding is provided to a machine learning model for classifying the document.

A universal system and method for dynamically evaluating and visualizing the performance of any predictive model, including machine learning models. The system and method compute performance metrics based on test set data and display visual representations in real-time, allowing users to interactively explore model performance by adjusting parameters that reflect model-deployment scenarios. Key features include model-agnostic design, support for both technical and business metrics, and the ability to compare multiple models. The system and method's extensible architecture enables custom metrics and visualizations, making them scalable across various modeling use cases and industries. By providing intuitive, real-time visual feedback, embodiments of the invention empower both technical and non-technical stakeholders to gain deeper insights into model behavior, leading to more informed decisions about deployment and optimization.

The invention provides a vulnerability detection method and system based on incremental codes, and belongs to the technical field of software security detection. Aiming at the technical problems that the software vulnerability detection in the prior art needs to carry out full scanning on codes, the detection efficiency is low and the method is difficult to adapt to rapid iterative development, whether patch codes can trigger potential software vulnerabilities or not is identified by analyzing the influence of code patches on the behavior logic of original codes. A code attribute graph is constructed by adopting a static code analysis technology, and changes of a data flow and a control flow are analyzed; comparing and analyzing the addition and deletion codes in the patches before and after; and an extensible detection framework is designed, and flexible configuration of different types of vulnerability detection rules is supported. According to the method, repeated scanning of full-quantity codes is avoided, and the vulnerability detection efficiency is remarkably improved; the security risk introduced by the patch is accurately positioned through an incremental analysis method; the adoption of an extensible architecture facilitates continuous integration of new detection capabilities.

The invention provides a multi-level tenant management method. A tree-shaped hierarchical structure with a root tenant as a vertex is constructed, dynamic association of sub-tenants and automatic increasing of hierarchical depth values are realized by utilizing parent tenant identifiers, and a depth-extensible architecture is constructed as required. The root tenant independently configures the function permission and the resource permission for each sub-tenant, and a rigid mechanism depending on a static strategy table or a fixed permission distribution mode is replaced. Meanwhile, by binding an attribution tenant identifier for a system resource and clearly distinguishing the resource attribute as a private resource or a controllable resource, dual verification based on a hierarchical relationship and the resource attribute can be carried out, a resource boundary between tenants is implemented at a resource access source, the risk of data leakage caused by no isolation of a shared storage pool mode is solved, and the system performance is improved. And the problem of low efficiency caused by manual configuration required by cross-level collaboration in a physical resource direct binding mode is solved, so that efficient and safe resource collaboration operation within an authorization range is supported while data security isolation is guaranteed.

The invention relates to a microfluidic real-time quantitative PCR chip system, which comprises a support and a plurality of chips, the adjacent chips are spliced with each other and detachably installed and fixed on the support, and each chip is formed by compounding a bottom sealing cover layer, a core function layer and a top sealing cover layer, a lower-layer micro-channel network and an upper-layer micro-channel network are constructed on the two opposite sides of the core function layer respectively, and the lower-layer micro-channel network and the upper-layer micro-channel network are subjected to airtight packaging through the bottom-layer sealing cover layer and the top-layer sealing cover layer respectively, so that a complete inner cavity fluid control system is formed. According to the microfluidic real-time quantitative PCR chip system disclosed by the invention, the problems of high reagent consumption and microfluidic chip flux solidification in a traditional scheme are solved at the same time through an extensible architecture design, so that not only can the usage amount of reagents be reduced, but also the flux and flexibility of an experiment can be improved, and a user is allowed to quickly adjust the detection flux according to specific experiment requirements; therefore, optimal configuration of resources and maximization of experiment efficiency are realized.

Embodiments as disclosed provide a distributed caching solution that improve the performance and functionality of a content management platform for sites that are physically or logically remote from the primary site of the content management platform. In particular, according to embodiments, a remote cache server may be associated with a remote site to store local copies of documents that are managed by the primary content management platform. Periodically, a portion of the remote site's cache may be synchronized with the content management platform's primary site using an extensible architecture to ensure that content at the remote cache server is current.

The invention discloses a power distribution cabinet with an extensible framework, and relates to the technical field of power distribution cabinets. Comprising a bottom plate and a top plate, a front side plate, a rear side plate, a left side plate and a right side plate are arranged between the bottom plate and the top plate, connecting assemblies are arranged on the bottom plate and the top plate, upper expansion plates and lower expansion plates are arranged on the connecting assemblies, four upper clamping grooves are formed in each upper expansion plate, and lower clamping grooves are formed in each lower expansion plate; upper clamping blocks are fixedly installed on the upper end faces of the front side plate, the rear side plate, the left side plate and the right side plate, lower clamping blocks are fixedly installed on the lower end faces of the front side plate, the rear side plate, the left side plate and the right side plate, and extending assemblies are arranged on the front side plate, the rear side plate, the left side plate and the right side plate. According to the power distribution cabinet, through cooperative use of the expansion assembly, the connecting assembly and the stabilizing assembly, the performance, the stability and the use efficiency of the power distribution cabinet are remarkably improved through modularization, flexible adjustment and stability enhancement, and the use effect of the power distribution cabinet is effectively improved.

The application discloses an extensible architecture power distribution cabinet and relates to the technical field of power distribution cabinets. The power distribution cabinet comprises a bottom plate and a top plate, front, rear, left and right side plates are arranged between the bottom plate and the top plate, connecting assemblies are arranged on the bottom plate and the top plate, upper and lower extension plates are arranged on the connecting assemblies, four upper clamping grooves are arranged on the upper extension plate, and a lower clamping groove is arranged on the lower extension plate; upper clamping blocks are fixedly installed on the upper end faces of the front, rear, left and right side plates, lower clamping blocks are fixedly installed on the lower end faces of the front, rear, left and right side plates, and extension assemblies are arranged on the front, rear, left and right side plates. The power distribution cabinet is modularized, flexible adjustment and stability enhancement are achieved through cooperation of the extension assembly, the connecting assembly and the stability assembly, the performance, stability and use efficiency of the power distribution cabinet are remarkably improved, and the use effect of the power distribution cabinet is effectively improved.

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.

The invention relates to a scalable architecture for automatically generating content distribution images. A method and system for automatically generating a content distribution image includes receiving a user input corresponding to a content distribution operation. The user input may be parsed to identify a keyword. Image data corresponding to the keyword may be identified. An image processing operation may be performed on the image data. A generative adversarial network is performed on the processed image data, including performing a first neural network on the processed image data to generate a first image corresponding to the keyword, the first image generated based on a likelihood that each of the first images is not detected to have been generated by the first neural network. The user interface may display a first image and a second image including an image previously being part of a content distribution operation or an image designated by an entity as available for the content distribution operation.

Methods and systems are presented for classifying a digital image of a document using a machine learning model framework. The machine learning model framework is configured to provide a classification output based on a fusion of features corresponding to different modalities and extracted from the digital image. The machine learning model framework includes multiple encoders. Each encoder is configured to encode features corresponding to a distinct modality into a respective embedding. Different embeddings generated by the multiple encoders are fused together using one or more fusion techniques. The fused embedding is provided to a machine learning model for classifying the document.

The invention provides a cloud data acquisition control system, which belongs to the field of computer software, adopts a Spring Boot micro-service architecture, integrates the technologies of MySQL, InfluxDB, Kafka, Nginx and the like, and constructs a stable and extensible architecture. Core components comprise an acquisition control center, an acquisition device, a cloud monitoring center and a set of complete management and execution mechanism. The cloud data acquisition system not only supports multi-mode data acquisition, but also has a unified management platform, security auditing, plug-in expansibility, usability design, real-time monitoring, efficient data processing and alarm mechanism, so that the comprehensive performance of cloud data acquisition is effectively improved, the operation and maintenance cost is reduced, and the service continuity is improved.

Methods and systems for automatically generating content distribution images are disclosed, including receiving user input corresponding to a content distribution operation. The user input can be parsed to identify a keyword. Image data corresponding to the keyword can be identified. Image processing operations can be performed on the image data. A generative adversarial network is performed on the processed image data, including performing a first neural network on the processed image data to generate first images corresponding to the keyword, the first images being generated based on a likelihood that each image in the first images is not detected as having been generated by the first neural network. A user interface can display the first images and a second image, the second image including an image that was previously part of the content distribution operation or an image specified by an entity as being available for the content distribution operation.