26results about How to "Reduce communication costs" patented technology

The application provides a traffic classification method and system based on federal semi-supervised learning. The method comprises the following steps: constructing an unlabeled traffic dataset and a labeled traffic dataset; a center server decomposes a global model into supervised learning parameters and unsupervised learning parameters and initializes the parameters; the parameters and an auxiliary agent are sent to each client; each client performs unsupervised training based on the supervised learning parameters, the unsupervised learning parameters and the auxiliary agent by using a local unlabeled traffic dataset, uploads the difference between the unsupervised learning parameters to the center server; the center server aggregates and updates each unsupervised learning parameter; supervised training is performed by using a local labeled traffic dataset, and the difference between the supervised learning parameters and the difference between the unsupervised learning parameters are sent to each client; a new auxiliary agent is obtained based on nearest neighbor search, and the new auxiliary agent is sent to each client when a set sending condition is met; the two steps are iteratively executed until a stop condition is met.

The application provides a JPA-based web code automatic generation system, comprising a JPA client, a code generation server, a Java backend service module and a Vue frontend service module; the system combines JPA technology with template technology, and can generate database tables and the front end and the back end of a web application system in batches according to JPA classes at one time, thereby greatly improving development efficiency. When a user adjusts requirements, the properties of the classes are modified, and one-key generation is very convenient.

This invention relates to the field of container loading optimization technology, and particularly to a container loading optimization method and system considering palletizing. The method includes setting container information, palletizing constraints, and cargo information; generating available pallet sizes and corresponding stack shapes; eliminating stack shapes with bottom coverage below a threshold; using the selected stack shapes to form transverse pallets that meet preset requirements; establishing a mathematical model and solving it using integer programming to obtain an initial loading scheme; performing mixed pallet loading on the remaining container space and remaining cargo, ensuring that the mixed pallet loading meets the requirements of full pallet coverage and full support; generating the mixed pallet loading result and a three-dimensional visualization model. This invention incorporates the entire palletizing-related calculation process into the optimization algorithm to solve the technical problems of cumbersome, inefficient, inaccurate, poor space utilization, and high labor costs in existing container loading calculation processes.

This application discloses a management method, apparatus, equipment, medium, and product for event organization, relating to the field of data processing technology. The method includes acquiring event organization request information sent by a current organization; wherein the event organization request information includes at least the name of the current organization, the event type, and event request information; acquiring multiple candidate event organizations from an event resource pool; determining matching data for each candidate event organization based on the event type and the event request information; determining a target event organization matching the current organization from the multiple candidate event organizations based on the matching data; and determining an event organization scheme associated between the current organization and the target event organization based on the event organization request information. This application can improve the efficiency of event organization.

This application provides a method and apparatus for linking supplier profiles with procurement activities. The method includes acquiring multi-source heterogeneous data related to a target supplier from multiple data sources. Upon detecting a change in any data point within this heterogeneous data set, the method triggers a real-time recalculation of the target supplier's health score to obtain a real-time health score. This real-time health score is then used to determine and execute the control strategy for the target supplier within the procurement transaction system, thereby achieving dynamic control over procurement activities involving the target supplier. This method enables real-time supplier status awareness, constructs a hierarchical and categorized differentiated control system, effectively solves the problems of limited control methods and delayed risk response, and significantly reduces compliance and financial risks.

The present application belongs to the technical field of supply chain management, and particularly relates to a control and sale commodity directional sharing system and method based on permission approval, wherein the method comprises the following steps: S1: in response to a list creation request of a business, obtaining business identity information, target customer information and candidate commodity information; S2: calling a pre-set permission verification engine, and performing pre-position permission verification on the combination of the business, the target customer and the candidate commodity based on a multi-dimensional permission data model; S3: if the verification is passed, the business is allowed to build a sharing list for the target customer from the commodities within the permission range, and a list snapshot ID bound to the list is generated; S4: the built sharing list is submitted to a pre-set approval process; S5: a time-limited sharing link or a two-dimensional code is generated based on the list snapshot ID; and S6: in response to an access request of the target customer through the sharing link or the two-dimensional code.

This invention discloses a collaborative optimization method, system, and medium for intelligent power grid emergency repair based on a closed-loop perception-decision-execution system. The method first collects meteorological data, resource allocation data, power grid data, and road traffic data from the disaster-stricken area, integrating them into multi-source perception data. This data is then input into a two-layer optimization model for calculation. The outer layer model combines the fault location, road conditions, and load levels to generate the optimal repair path decision, while the inner layer model outputs a fault recovery decision based on the power grid topology and load priority. Finally, the two types of decisions are converted into emergency repair resource scheduling instructions and power grid control instructions, respectively, and emergency repair operations and load restoration operations are executed simultaneously. This invention effectively solves the problems of difficult path selection, information asymmetry, and slow response speed faced by power grid repair and restoration when power failures are caused by natural disasters or accidents, significantly improving the emergency response capability and power supply restoration speed of the power grid, and effectively ensuring power supply stability and security.

The invention provides a spacecraft general assembly data fusion processing system and method, and the system comprises a dual-core architecture which comprises a general assembly cooperation model module and a knowledge-driven engine module; the hierarchical classification database is connected with the dual-core architecture; the version penetration management module is used for establishing a product version penetration management mechanism based on a preset code; and a rule verification engine for automatically verifying the data based on a preset rule. The method comprises the following steps: carrying out collaborative sharing and intelligent decision making through a dual-core architecture, storing spacecraft general assembly data into a hierarchical classification database for standardized storage, establishing a product version penetration management mechanism, and automatically checking the data based on a preset rule obtained from a knowledge-driven engine module. According to the method, the data normalization and accuracy can be remarkably improved, the full-life-cycle accurate tracing of the data is realized, and the cross-professional collaboration efficiency is improved.

This invention discloses a frequency control method, system, electronic device, and storage medium for cascaded microgrids. It includes: real-time acquisition of electrical parameters of the cascaded microgrid and each series inverter unit within it; determining the active and reactive power of each series inverter unit based on the electrical parameters; establishing a series inverter synchronization control logic; synchronizing the frequency and phase of each series inverter unit according to the series inverter synchronization control logic; establishing a distributed secondary frequency control logic based on the characteristic that all series inverter units in the cascaded microgrid have the same current; and performing secondary frequency recovery control on each series inverter unit according to the distributed secondary frequency control logic. This method enables frequency control without communication, reducing communication costs, avoiding communication delays, packet loss, and fault risks, and improving the reliability of the cascaded microgrid system.

This invention relates to the field of intelligent office work, and discloses an office assistance method, device, equipment, and medium, comprising: receiving an office task in natural language form input by a task initiator; using a large model to perform intent recognition and key information extraction on the office task in natural language form, obtaining intent recognition results and key information; generating task requirements based on the intent recognition results and key information; and sending the task requirements to the task executor. This solves the problem in the prior art where misunderstandings of office tasks lead to employee errors and low office efficiency.

This application provides an agile development method, apparatus, equipment, and medium for vehicle air conditioning control software, effectively addressing several shortcomings of existing vehicle air conditioning software development models. The method includes: constructing a visual model of multiple components of the vehicle air conditioning system in a modeling module according to requirements, and configuring the corresponding visual model by dragging and dropping core air conditioning components and connecting them; a central data dictionary responding to requests from an intelligent code generation engine, providing standardized data entities, enabling the intelligent code generation engine to map the standardized data entities to the visual model through a three-layer mapping architecture to obtain target code; the three-layer mapping architecture includes a semantic-data mapping layer, a platform adaptation layer, and a security and compliance layer; verifying the target code based on a three-layer verification structure to obtain verification results, and then implementing agile development of the vehicle air conditioning control software based on the verified target code.

The present application relates to the technical field of metering informationization and intelligent management system, in particular to a kind of inspection and calibration system and device of intelligent inspection platform;Including: customer inspection digital acceptance module, sample intelligent receiving tracking module, detection execution automation integrated module, report automatic generation management module, provincial measurement resource sharing analysis module;The present application realizes inspection whole-process digitization, automation and intelligent management by constructing wisdom measurement inspection and calibration platform, significantly improves customer handling efficiency, reduces communication cost, eliminates sample confusion loss risk, improves detection data accuracy and task completion rate, shortens report issuing cycle and enhances standardization and anti-fake ability, simultaneously creates new mode of centralized sharing of provincial measurement resources, breaks information silos, provides strong support for administrative supervision, agency optimization and customer traceability, overall reduces inspection cost, improves service quality, promotes high-quality development of measurement industry.

The invention relates to the technical field of camera debugging, in particular to a camera module tuning method, and aims to solve the technical problem of how to realize tuning of a camera module more efficiently. In order to achieve the purpose, the collaborative interaction system is created, and the collaborative interaction system comprises a local code bin, an automatic file verification module and a temporary storage area. In response to the adjustment and optimization service provider submitting adjustment and optimization data to the local code warehouse, triggering an automatic file verification module to execute automatic verification; if the automatic verification is passed, submitting the tuning data to a temporary storage area and generating a notification, otherwise, returning the tuning data to a local code bin and prompting a failure reason; in response to the notification, pulling the tuning data to a local bin for the personnel of the tuning demand side to perform local verification; if the local verification is passed, the tuning data is combined into the code general warehouse of the tuning demand side, otherwise, the problem feedback information is transmitted back to the local code warehouse for further tuning of the tuning demand side, the tuning efficiency is improved, and the communication cost is reduced.

This invention provides a communication method, apparatus, electronic device, and storage medium. The communication method is applied to a video server connected to a telephone network node via an IP network, comprising: receiving a first video call call sent by the telephone network node based on the IP network connection, the video call call including an identifier of a first dialing device; responding to the first video call call, determining a first video channel with the first dialing device and a second video channel with a first IP terminal device and a second IP terminal device, wherein the first dialing device and the telephone network node are located within the telephone network; and channel fusion of the first and second video channels to establish a multi-party video call between the first dialing device and multiple IP terminal devices. This invention improves the video service capabilities of IP networks and telephone networks while saving communication costs.

The application discloses a kind of encrypted traffic deep packet inspection method, system and electronic equipment, it is related to Internet of Things privacy protection technical field, the method includes: gateway generates key set according to security parameter, and plain text detection rule set is converted into encrypted encoding filter table and encrypted rule set;Gateway processes data packet based on key set to generate encrypted token set, and sends encrypted token set to first layer server;First layer server filters encrypted token set according to encrypted encoding filter table, and initiates component request to gateway, generates search trapdoor according to key component group that gateway issues, and sends search trapdoor to second layer server;Second layer server detects encrypted rule set based on search trapdoor, obtains detection result, and returns detection result to gateway, and detection result is the rule identifier set of matching success.This application carries out real-time detection to encrypted traffic deep packet under the premise of ensuring that flow data and detection rule itself are private.

This invention relates to the field of computer technology and discloses a method, apparatus, device, and storage medium for developing web pages. The method includes: receiving a web page development request; responding to the request by invoking a pre-built business code library and a pre-built component code library; generating a web page framework based on the business code library; performing conversion processing on the component code library to generate component links corresponding to the component code library; introducing the component links into the web page framework; and generating the web page using the Render function of the Vue framework library. Through this method, the invention can achieve the separation of component code and business code, eliminating the need for further separation of component code, reducing code coupling among multiple developers and departments, lowering communication costs and maintenance management risks, improving page development efficiency, and solving the problem of low web page development efficiency caused by developers repeatedly reviewing code when collaborating with multiple people and departments.

This application provides a method, apparatus, device, and storage medium for report generation, relating to the field of business analysis. The method includes: acquiring first target data, a blank chart component, and a template report based on user-inputted operation instructions; then importing the first target data into the blank chart component to generate a target chart component; and then configuring the template report based on user-inputted drag-and-drop instructions for the target chart component to generate the target report. The method provided by this application effectively improves the efficiency of report generation.

The invention discloses a high slope surface deformation monitoring method based on edge AI and related equipment, and relates to the technical field of civil engineering safety monitoring and geological disaster early warning, and the method comprises the steps: collecting a specific target image in real time, processing the specific target image based on a preset lightweight AI model, obtaining displacement data corresponding to a specific target, and calculating the deformation of the specific target according to the displacement data. And sending the displacement data to a rear-end monitoring platform, so that the rear-end monitoring platform performs real-time monitoring on the slope surface deformation of the high slope based on the displacement data to obtain a monitoring result of the slope surface deformation of the high slope. High slope surface deformation monitoring is completed based on cooperation of the rear-end monitoring platform and the front-end acquisition unit, the front-end acquisition unit only needs to upload displacement data instead of image data, the data transmission amount is greatly reduced, meanwhile, the front-end acquisition unit processes the acquired data in real time through marginalization design, the data processing efficiency is improved, and then the data processing efficiency is improved. In a complex field environment, high-efficiency and high-precision deformation monitoring is carried out.

The application discloses a federal learning model compression method, a user terminal, a server and a system, and belongs to the technical field of communication. The method comprises the following steps: acquiring a local model corresponding to at least one target application; determining a compression strategy of the local model based on a performance index of the target application; performing compression processing on the local model based on the compression strategy to obtain a local compressed model and a compression identifier corresponding to the local compressed model; uploading the local compressed model and the compression identifier to a server for model aggregation processing, acquiring global model parameters issued by the server; and updating the local model based on the global model parameters. In this way, according to the performance index of the application, a suitable compression strategy is selected for model compression, the communication cost can be reduced on the basis that the federal learning model is deployed to multiple devices, the accuracy of the federal learning model parameters is maximized, and the experience of users is significantly improved.

This invention discloses a cross-domain authentication method for trusted data spaces based on digital certificates, belonging to the field of trusted data space authentication technology. The method includes S1, constructing a trusted data space cross-domain authentication system; S2, system initialization; S3, trusted data space and user registration; S4, intra-domain two-way authentication between the trusted data space and the user; and S5, cross-domain authentication and key negotiation between the trusted data space and the user. This invention combines a lightweight algorithm to achieve lightweight intra-domain authentication and secure cross-domain communication. Addressing the single point of failure problem in traditional authentication, it designs a blockchain distributed verification mechanism to avoid the risk of system paralysis by a centralized trusted party. During the authentication process, the identity information of the trusted data space and the user is anonymized through pseudo-identity and hash processing. Simultaneously, location privacy and communication security are protected through timestamps and digital signatures. The blockchain stores a permission table, simplifying the cross-domain verification steps for authenticated entities and reducing system computation and communication costs.

The application belongs to the technical field of natural language processing, and discloses a federated learning optimization method and system for entity extraction, a device and a terminal. In the shared data meta information transmission stage, the server sends a shared data request to each selected client participating in federated learning, each client calculates shared data set meta information, and uploads the meta information to the server. In the approximate IID entity annotation data construction stage, the server constructs an approximate IID entity annotation data index set according to the meta information uploaded by the client, and requests the corresponding client for data corresponding to the index set. In the model training stage, the server is regarded as a client participating in federated learning training, and the approximate IID entity annotation data set is used for model training to obtain an approximate centralized model W IID The application reduces the difference between the model parameter spaces of the clients, improves the accuracy and convergence speed of the global model, and reduces the training communication cost.

This invention discloses a BIM-based method for managing construction progress information in building engineering, belonging to the field of computer information management technology. This invention utilizes a pre-trained language model to semantically parse the natural language reports of construction personnel, abstracting information such as floors, areas, component types, and construction actions into component description elements. These elements are then combined with a component graph containing type attributes, spatial adjacency relationships, and construction sequence dependencies. This constrains the matching range at both the semantic space and topological structure levels, significantly improving the accuracy of component location under fuzzy spatial representations. Through multi-channel semantic similarity calculation and a confidence-driven weight adaptive mechanism, the system can automatically adjust the contribution of channels such as type, action, graph structure, contextual text, and discrete labels based on different corpus quality.

This disclosure relates to a risk assessment method, apparatus, electronic device, and computer-readable storage medium. The method includes: upon triggering a risk assessment operation for target software, collecting multivariate data for the target software, including business characteristic data and domain knowledge data of the target software; extracting feature data corresponding to each risk factor from the multivariate data, and constructing a target prompt based on the feature data corresponding to each risk factor and a prompt template; inputting the target prompt into a large-scale risk assessment model, and outputting a risk assessment result for the target software. This method can improve the accuracy of risk assessment results.

A distributed time-division multiplexing control system and method for driving safety includes: a power control module for driving safety awareness, a lightweight chain structure maintenance module, and a conflict-free time slot allocation module. This invention considers that each vehicle node in the network has different safety requirements. The core idea of ​​this invention is to match the V2V communication range with the driving safety requirements of vehicles, exchanging safety messages only between vehicles that are mutually concerned about safety, thereby greatly improving the utilization rate of channel resources. Vehicles with mutual safety concerns in the same lane form a flexible and dynamic broadcast chain structure. This invention combines power control based on driving safety awareness with lightweight dynamic intra-chain role switching, which can avoid access conflicts and merging conflicts in highly dynamic vehicle networks.

The application discloses a kind of federated meta-learning image classification methods based on sparse neural network, communication efficiency is high, algorithm performance is good.The method of the present application mainly includes the following steps: (10) set up fully connected neural network node and correlation coefficient, establish source node set and target node set;(20) the full connection neural network is sparsified, and the weight parameters of sparse neural network are initialized;(30) training internal update is carried out on the training set data of each source node;External update is carried out on the test set data of each source node;(40) remove the minimum positive number and the maximum negative number of each layer of weight matrix after external update of each source node, whether iteration number t is the integer multiple of the set local iteration number is judged to make corresponding processing;(50) gradient update training is carried out on the training set data in each target node based on the parameters obtained by training source node set, and image classification task is carried out using the fine-tuned model of target node.