181 results about "Presentation layer" patented technology

The invention provides a resource unified management method and system based on heterogeneous computing power, and relates to the technical field of resource allocation of heterogeneous computing power. According to the method, operation instructions of different computing units are converted into bidirectional irreversible instruction sequences by constructing a heterogeneous presentation layer, and physical resources are abstracted to generate a virtual computing power unit. A multi-dimensional efficiency baseline is constructed based on parameters such as real-time load and network jitter tolerance, and a time-varying efficiency curve is dynamically generated in combination with a hardware aging rate. A user task is decomposed into sub-task chains, intelligent resource binding is realized by matching hardware sensitivity characteristics with an efficiency curve, and conflicts are solved by adopting reinforcement learning. And monitoring efficiency offset in real time during execution, performing reverse backtracking during abnormality, and generating a recombination strategy based on the alternative resource set. According to the system, efficient management and dynamic optimization of heterogeneous computing power resources are realized, and the computing efficiency and reliability are remarkably improved.

The invention belongs to the technical field of railway inspection, and particularly relates to a space-air-ground integrated railway power transformation and distribution intelligent inspection method and system which comprises a sensing layer, a platform layer, a data and intelligent center, an application layer and a user and presentation layer. The sensing layer is composed of an aerial inspection layer, a ground inspection layer and a fixed monitoring layer; the platform layer is based on a cloud computing center and edge computing node collaborative architecture, combines data and an intelligent center, integrates multi-source heterogeneous data through a big data platform, carries an AI algorithm engine to realize automatic identification of equipment defects, analyzes images, synchronously predicts the images, and realizes automatic identification of the equipment defects. And the application layer is combined to complete the functions of automatic generation of an inspection report, automatic distribution of a maintenance work order, equipment health state evaluation and the like. According to the method, functions of railway power place inspection, power supply line inspection, power supply and distribution facility operation and maintenance emergency and the like can be realized, deep fusion analysis of multi-dimensional data is realized, and meanwhile, the problems of insufficient training samples, sparse defect types and the like of an existing AI model are solved.

The invention discloses a federal large model knowledge collaborative training method supporting multi-modal heterogeneous clients, which comprises the following steps: each client receives a model initialization parameter issued by a central server, and applies adaptive differential privacy noise to independently train a heterogeneous lightweight model based on local private data; updating the model to which the noise is applied and uploading a modal identifier of the model to a central server side; after model updating and modal identification of each client are received, based on a modal perception weighted consensus fusion mechanism, knowledge of each client is fused to update a global large model; and the central server side issues the updated presentation layer parameters of the global large model to the client side for initialization of the next round of local training. According to the method, on the premise that a public data set or specific task setting is not needed, comprehensive compatibility of data isomerism, client dynamic participation, model diversity and privacy protection requirements is achieved, and the adaptability, stability and knowledge utilization efficiency of large model federation training are remarkably improved.

In accordance with an embodiment, described herein is a system and method for providing support for extensibility and customization in an analytic applications environment. An extract, transform, load (ETL) or other data pipeline or process provided by the analytic applications environment, can operate in accordance with an analytic applications schema and / or a customer schema associated with a customer (tenant), to receive data from the customer's enterprise software application or data environment, for loading into a data warehouse instance. A semantic layer enables the use of custom semantic extensions to extend a semantic model, and provide custom content at a presentation layer. Extension wizards or development environments can guide users in using the custom semantic extensions to extend or customize the semantic model, through a definition of branches and steps, followed by promotion of the extended or customized semantic model to a production environment.

The invention relates to the field of power distribution network graph optimization, in particular to a power distribution network planning graph visibility optimization method, which comprises a layered architecture module, a technical module, a data integration module, a data processing module, a data evaluation module, a visualization algorithm module and a user interaction module. The layered architecture module is divided into a presentation layer, a control layer, a business logic layer and a data access layer through a modern software system; the presentation layer is responsible for interacting with a user and providing a user interface; the control layer is used for processing user input, the processing speed and the response time of the system can be effectively improved and the maintenance cost can be effectively reduced by setting the modules to be mutually connected for use and improving the system performance and architecture, and the maintenance cost of the system is reduced and the availability of the system is enhanced through modular design and automatic deployment. The stability and reliability of the system are improved, uninterrupted operation of key services is ensured, technical innovation is promoted, and a theoretical basis and practical guidance are provided for technical innovation in related fields.

The invention discloses a teaching resource dynamic allocation method and system based on education software platform data, and relates to the technical field of informationization, and the method comprises the steps: S1, obtaining the geographic position information of education resources, and carrying out the standardization processing of the position data, and obtaining a structured spatial distribution frame; s2, acquiring logical relationship data according to the spatial distribution framework, performing association mapping on the logical relationship data and the geographical location information, and determining a multi-dimensional resource attribute set; s3, aiming at the multi-dimensional resource attribute set, integrating the geographic position information and the logical relationship data into a resource distribution presentation layer to obtain a dynamically updated resource distribution view; according to the teaching resource dynamic allocation method and system based on the educational software platform data, the resource balance is continuously evaluated according to the adjusted distribution state, the optimization process is repeated when necessary, finally, dynamic optimal allocation of the educational resources is achieved, the resource utilization efficiency is improved, and educational fairness is promoted.

The invention provides a transformer substation maintenance implementation full-process intelligent management and control system and method based on a cloud platform, and belongs to the technical field of intelligent power grid operation and maintenance. The system comprises an acquisition layer, a data layer, a management layer, an information layer and a presentation layer. The acquisition layer comprises a scheme input module, an image acquisition module, a positioning module and an electromagnetic fingerprint acquisition module, and is used for constructing a digital twin maintenance template and acquiring multi-source data; the data layer comprises an intelligent image auditing module, a multi-source positioning compensation module and an electromagnetic fingerprint matching module, and is used for realizing fusion analysis and error compensation of multi-source data; the management layer comprises a dynamic authority control module and a positioning state decision module, and is used for distributing equipment operation authority based on biological characteristics and electromagnetic safety parameters; the information layer comprises a dynamic path planning module and an evaluation alarm module, and is used for generating an optimal operation path and triggering multi-stage safety alarm; and the presentation layer realizes visual interaction and alarm prompt through a terminal interface.

The invention provides an AI model cross-platform deployment system and method based on a unified interface and an intermediate presentation layer, and is used for solving the technical problem that the deployment adaptation of an AI model among different cloud platforms is difficult. The system adopts a hierarchical architecture design and comprises a unified interface layer, a middle presentation layer and a platform adaptation layer. Wherein the unified interface layer provides a standardized model deployment interface specification; the middle presentation layer converts the AI model into a platform-independent middle format and manages model dependence and configuration information; and the platform adaptation layer is responsible for converting the intermediate format into a deployment format of a target platform and calling a corresponding platform API to complete deployment. Through the innovative design of the unified interface and the middle presentation layer, the development cost of cross-platform deployment is remarkably reduced, the portability of the model is improved, and the technical problem in the cross-platform deployment process of the model is effectively solved.

The invention discloses a social group discovery system based on fused semantic information. The system comprises a presentation layer, a presentation layer, a service layer and a data layer. The presentation layer supports checking of a group division result; the display layer displays a user structure network, group dynamic division and group characteristic indexes through a visual tool; the service layer is composed of a semantic tag generation module, a user structure analysis module, a social group division module and a social group analysis module, semantic and structural features are fused through a graph attention network, and accurate group division is realized in combination with an adaptive embedded graph aggregation algorithm; and the data layer stores the original data set of the social platform and the processed data. The system inputs user texts into a large language model to generate semantic tags, node embedding is generated by calculating node association weights, group division is completed by combining an adaptive embedding graph aggregation algorithm, and finally group characteristics are quantitatively analyzed from the aspects of cohesion, conductivity and the like. The system is suitable for scenes such as vertical domain community mining.

Systems and methods for pairing-less device connectivity are disclosed. For example, a group of primary devices are authorized to establish a non-bonded connection with a given secondary device. When the secondary device is in proximity of at least one of the group of primary devices, that primary device may receive a wireless beacon from the secondary device. The system may identify the primary device as an authorized device, perform user presence confirmation processes, and send a command to the primary device to establish the non-bonded connection. Encryption using a network layer or a presentation layer and an application layer of a computer network, instead of a link layer, is utilized for secure data transmission over the non-bonded connection.

The invention discloses a semantic retrieval method and device, equipment, a medium and a product, and the method comprises the steps: obtaining a query statement and a pre-trained semantic search model which comprises an input layer, a presentation layer and a matching layer; carrying out global modeling on the context of the query statement based on a full-word mask technology of an input layer, and determining a text vector; processing the text vector based on a gating mechanism of a presentation layer to obtain a text global feature vector; and determining target corpus information matched with the text global feature vector in a pre-established reply data corpus based on the matching layer, and taking the target corpus information as a reply result of the reply query statement. Semantic information in a query statement is effectively captured through the input layer, a gating mechanism is introduced to further model text sequence information, richer semantic representation is obtained, and target corpus information is matched through the matching layer. The understanding and characterization capability of the model on the whole query statement is improved, and the accuracy of the query result is improved.

The invention discloses an industry operation permission intelligent approval system based on Java and an implementation method, and belongs to the technical field of computer application. The system adopts a four-layer architecture including a presentation layer, a business logic layer, a data access layer and a data storage layer. The core of the system is that the business logic layer integrates an intelligent auditing engine, a rule engine and a workflow engine; the intelligent auditing engine automatically analyzes and extracts key information in the application material through NLP and OCR technologies; a rule system based on industry classification is built in the rule engine, three-dimensional automatic verification of subject qualification, material integrity and condition conformity is executed, and regulatory terms can be mapped into executable logic; and the workflow engine automatically triggers and manages the approval process according to the verification result. According to the invention, full-process automation and intellectualization of industry operation permission approval are realized, the approval efficiency, accuracy and dynamic adaptation capability to policies and regulations are greatly improved, and the problems of low efficiency, different standards, lagging and the like existing in a traditional manual approval mode are effectively solved.

Embodiments of a method for operating a mobile application using backend-for-frontend in a tiered software framework comprises: communicating, by a mobile aggregator, first messages over a wireless communication network with a frontend of the mobile application executing in a mobile device, the messages comprising instructions in Remote Procedure Call protocol; identifying services of the mobile application called by the instructions, the services executing in a cloud network; generating second messages in another protocol compatible with communication in the cloud network; and communicating the second messages to the services. The mobile application includes a presentation layer, an application layer, and a data layer. The presentation layer executes in the mobile device, the application layer executes in a first server in the cloud network, the data layer executes in a second server in the cloud network, and the mobile aggregator does not store any history of the messages.

The invention discloses a fully mechanized coal mining face multi-protocol equipment simulation linkage control system and a working method. The control system comprises a presentation layer, a business logic layer and a data layer. The working method comprises the following steps: S1, selecting equipment needing to be simulated and issuing the equipment to the business logic layer; s2, an equipment simulation module obtains point location information of the selected equipment, and a linkage rule read-write module obtains equipment linkage control rule information; s3, the device simulation module calls a point location read-write module of a corresponding protocol according to the read device point location information, and point location change monitoring during device operation is achieved; s4, the rule simulation module completes point location read-write module calling across the devices according to the analyzed rules, and therefore linkage simulation between the devices is achieved; s5, the point location read-write module receives the calling command, scans the read point location and feeds back a scanning result to the business logic layer; and S6, the service logic layer transmits a feedback result to a simulation monitoring module for simulation effect display.

The invention discloses a data interaction management and control system and method for judicial and administrative business resource integration. The system comprises a presentation layer, an application layer, a service layer, a data access layer and an infrastructure layer, wherein the presentation layer is used for providing a visual interface of a judicial administration data collaborative sharing portal and an interactive management and control portal, and supporting data collaborative sharing and management and control operation of a plurality of business scenes; the application layer is used for combining functions of the service layer, realizing a business scenarized application module and recording an operation behavior log in real time; the service layer is used for packaging preset business logic and providing an atomization service interface; the infrastructure layer comprises network resource load balancing, an API gateway, a hardware security device, a computing resource server cluster, a message queue, a log storage, a relational database, a distributed file storage and a block chain platform node. The block chain is utilized to realize on-chain data access, behavior data is prevented from being tampered, traceability and truth restoration are facilitated, and a person in charge is positioned.

The invention relates to the technical field of data processing, in particular to a development system framework and method based on a low-code platform. The development framework comprises a presentation layer used for generating a user interface and obtaining data input by a user in the user interface; the business logic layer is used for managing a dependency relationship between business logic components and processing the data sent by the presentation layer through the business logic components to obtain a processing result; and the persistent layer is used for generating and executing SQL statements so as to persist the processing result into the database or obtain data from the database and feed back the data to the presentation layer. By using the development system framework, the coding quantity can be reduced, and the development efficiency can be improved.

The invention relates to the technical field of data processing, in particular to an advertisement media report aggregation system based on a big data engine, which comprises a presentation layer, a communication layer, a service layer and a data layer, the presentation layer is connected with the communication layer and is used for sending an HTTP request and receiving response data; the communication layer is connected with the service layer and the data layer, and is used for calling a permission verification service to verify the permission and initiating a routing request to a corresponding service to the service layer; the service layer is connected with the presentation layer and the data layer, the service layer is configured with query service and report service, the report service is used for processing report related requests and returning attempt configuration of corresponding reports, the query service is used for processing query requests, and the service layer is further used for generating response data and sending the response data to the communication layer. According to the scheme, efficient cooperation is achieved through modular decoupling, data security is guaranteed through query layer permission injection, row-level / field-level fine control is achieved, and the risk of unauthorized permission is reduced.

The invention discloses a multi-strategy fusion file data desensitization management and control system, and relates to the technical field of information security and data processing, a system architecture adopts a hierarchical design and comprises a presentation layer, a business logic layer and a data access layer, the interface design of the presentation layer is simple, and a user can easily operate the presentation layer; the business logic layer is responsible for processing various rules and ensuring that data can be correctly processed; the data access layer is responsible for interacting with a database to realize secure storage and quick reading of data, and the architecture design ensures the expandability and maintainability of the data desensitization file security management system; system functions are realized in two ways: a common user can perform desensitization operation on sensitive data and download a file; an administrator can modify configuration and manage the desensitization rule besides the functions of a common user; the system can effectively protect sensitive data and reduce the risk of data leakage, and has high practical value.

The invention belongs to the field of product top-layer system design and modeling, and discloses an interactive feedback-oriented product top-layer system design method, which comprises the following steps of: constructing a multi-layer model based on a demand R, a function F, a behavior B and a structure S, establishing a knowledge graph for representing a semantic relationship between layers and between nodes on the same layer by using weighted directed edges, forming a layer-by-layer mapping matrix by using edge weights, and constructing a layer-by-layer mapping model; realizing weight decomposition from the demand to the structural unit; a constraint hypergraph is constructed on the node set, and structural unit combination constraints are depicted through mutual exclusion, dependency, collaboration and conflict hyperedges; physical parameters of the structural units are normalized into performance vectors, weighted aggregation is carried out according to weights, legality judgment and performance correction are carried out in combination with a hypergraph, a system-level performance evaluation result is obtained, candidate configuration schemes are compared and optimized according to the result, and a product configuration scheme meeting requirements and constraint conditions is formed. The method provides a model basis for subsequent product structure configuration optimization based on interactive feedback.

The invention relates to the technical field of contract management, and discloses a contract full-life-cycle intelligent management robot system which comprises a presentation layer, an application layer, a data layer and an infrastructure layer. According to the contract full-life-cycle intelligent management robot system and the implementation method thereof, the problems of comparison, modification and recognition of contract files in complex formats are solved through the intelligent file comparison module; the OCR recognition unit supports multiple file formats, and a Tesseract OCR engine is combined with a convolutional neural network to optimize the character recognition accuracy; the image preprocessing unit executes graying, noise reduction, binaryzation and character segmentation operations to ensure high-quality image input; the comparison algorithm unit adopts a page-by-page comparison method, records modification information of texts and images, and calculates similarity by using an editing distance and structural similarity algorithm; finally, the PDF document containing the modification information and the similarity report is generated, rapid and accurate analysis of contract content is achieved, and enterprise decision-making efficiency and accuracy are remarkably improved.

The invention discloses a control information management method and device, equipment and a readable storage medium, and relates to the technical field of software engineering. Comprising the following steps: firstly, carrying out structure layering on a target project to obtain a control library layer, a business layer, a presentation layer and a driving layer of the target project; obtaining a target control file of the target project, and mapping a target control into a control library layer based on the target control file; the target control file comprises at least two target controls; sending a control library in the control library layer to the business layer, and sending the driving capability in the driving layer to the business layer by using the presentation layer; and finally, generating a test page of each target control by utilizing the business layer, and testing the target controls according to the driving capability and the test pages. According to the method, the convenience of control information management is improved, and the management cost is reduced.

The invention relates to the technical field of talent management, and discloses a talent multi-dimensional analysis application system which comprises a data layer, a business logic layer and a presentation layer. Wherein the data layer is used for collecting and storing talent data; the business logic layer is connected with the presentation layer and the data layer, and is used for responding to a user service request transmitted by the presentation layer, processing the user service request under the cooperation of the data layer, and returning a processed result to the presentation layer; and the presentation layer is used for visually presenting the service information so as to interact with the user, and presenting the talent multi-dimensional analysis information after interaction. According to the method, technologies of big data, cloud computing, artificial intelligence and the like are utilized, comprehensive, accurate and timely analysis of talent data can be digitally realized, the data management efficiency is improved, the processing and analysis requirements of the talent data are met, and powerful support is provided for leader decision making of enterprises and talent data application of professional departments and grassroots units.

The invention discloses a large model lightweight reasoning method and device, computer equipment and a storage medium. The method comprises the steps that a target large model is unfolded into a computational graph, and a semantic path dependency graph is constructed based on intermediate representation; defining a semantic contribution degree index, and calculating the semantic influence degree of each node in the semantic path dependency graph on final output; screening a low-influence path according to a graph traversal algorithm, and performing path pruning in combination with structure limitation to obtain a pruned model; and carrying out structure completion on the pruned model, and carrying out semantic alignment distillation by taking the original model as a teacher model to obtain a lightweight model. The embodiment of the invention relates to the field of artificial intelligence model reasoning optimization, and solves the problems that a pruning method in the prior art depends on structural information, lacks semantic perception and is easy to lose performance. The semantic graph is constructed in the middle presentation layer, task related paths are identified, redundant branches are cut off, the reasoning process is remarkably accelerated on the premise that the precision of the model is kept, and the deployment efficiency is improved.

The invention discloses an intelligent data retrieval and presentation system and method fusing a large model and a process engine. The system comprises a large model layer, a process engine layer, a data interface layer and a presentation layer. The large model layer is used for carrying out secondary semantic analysis and associated word expansion according to a business data query demand to generate a structured retrieval instruction; the analysis module is also used for performing data analysis through the intelligent attribution model to generate an analysis result; the process engine layer is used for generating a matched business process template, cleaning and integrating original data, and sending data display configuration to the presentation layer; the data interface layer is used for acquiring original business data and feeding back to the process engine layer; and the presentation layer is used for performing visual display according to the data analysis result and providing a questioning interface to obtain a new demand of the user. According to the method and the system, accurate processing and efficient presentation of the business data in the ERP system are realized, and the problems of low data retrieval and analysis efficiency and insufficient intelligence of the traditional ERP system are solved.

The present invention provides a method for constructing an emotion perception model and detecting the risk of early depression, which solves the problem that the emotion content and early description of depression symptoms expressed by users in social media are ignored in the existing methods, making it difficult to accurately judge whether the user is already in the early stage of depression. The present invention constructs a data set, obtains a social media dynamic data set of a user to be detected and obtains a set of early description posts of depression of the user to be detected containing at least one content; constructs the post representation layer, and uses a pre-trained language model to capture a context representation sequence that integrates negative emotion knowledge; constructs the user representation layer, and obtains a user representation matrix that integrates heterogeneous knowledge based on the output of the post representation layer; predicts the early depression risk level of the user to be detected through the detection layer; and obtains the emotion perception model after training, which can effectively detect and evaluate users with early depression.

The invention relates to the technical field of three-dimensional reconstruction, in particular to a rapid three-dimensional reconstruction system based on deep learning, which comprises a data layer module used for inputting multi-view image data, configuring image sizes, calculating equipment parameters and performing read-write and management on output point clouds, grids and depth maps; the algorithm layer module is used for performing calculation based on a three-dimensional reconstruction algorithm, including depth estimation, point cloud generation, global alignment and grid reconstruction; the business logic layer module is used for coordinating all the modules to execute full-process automatic reconstruction and constructing a full process from multi-view image data input to model output; the presentation layer module is used for providing an interactive interface for the user; the communication layer module is in communication connection with the data layer module, the algorithm layer module, the business logic layer module and the presentation layer module and used for completing data transmission and state synchronization among the modules, and the problems that in the prior art, equipment cost is high, real-time performance is poor, efficiency is low and precision is insufficient are solved.

The invention discloses an intelligent campus operating system fused intelligent technology architecture. The architecture comprises an infrastructure layer, a system access layer, a system core layer and an application service layer, the system access layer comprises a third-party data source layer, a data preprocessing layer and a data storage layer; the system core layer comprises a platform component layer, a universal capability platform layer and a service encapsulation layer; the universal capability platform layer is used for performing function reconstruction and integration on the public technology component; the business packaging layer is used for packaging different business program libraries; the application service layer comprises an application presentation layer and a service access layer, and provides personalized applications and access of multiple service channels for users. According to the technical framework, through data sharing, equipment interconnection and user management optimization, the user experience is improved, an open, compatible, general enabling, safe and reliable comprehensive basic environment is constructed, and a smart campus operation and management intelligent center with unified planning, unified framework, unified standard and unified operation and maintenance is formed.

In accordance with an embodiment, described herein is a system and method for providing support for extensibility and customization in an analytic applications environment. An extract, transform, load (ETL) or other data pipeline or process provided by the analytic applications environment, can operate in accordance with an analytic applications schema and / or a customer schema associated with a customer (tenant), to receive data from the customer's enterprise software application or data environment, for loading into a data warehouse instance. A semantic layer enables the use of custom semantic extensions to extend a semantic model, and provide custom content at a presentation layer. Extension wizards or development environments can guide users in using the custom semantic extensions to extend or customize the semantic model, through a definition of branches and steps, followed by promotion of the extended or customized semantic model to a production environment.