21results about How to "Efficient sharing" patented technology

The invention discloses a theme style sharing method and device and a server, and relates to the technical field of computers.The method comprises the steps that a first terminal adjusts configuration parameters of a local artificial intelligence model in response to personalized configuration operation on theme styles, and style configuration parameters are obtained; wherein the artificial intelligence model generates a target digital asset of a personalized theme style corresponding to the personalized configuration operation under the condition that the artificial intelligence model runs based on the style configuration parameters; performing structured processing on the style configuration parameters to generate a style configuration file; and sharing the style configuration file to a second terminal to enable the second terminal to restore the style configuration parameters based on the style configuration file, and generating a target digital asset based on a local artificial intelligence model and the style configuration parameters of the second terminal to reproduce the personalized theme style. According to the method and the device, the user can be supported to perform personalized creation on the theme style and perform efficient sharing on the creation result, and meanwhile, the shared theme style can be ensured to be accurately reproduced at the receiving end.

This invention provides a tank container for intermodal transport, comprising: a frame and a tank body horizontally installed inside the frame; the frame includes two end frames respectively connected to the longitudinal ends of the tank body; the frame also includes two sets of support seats and multiple reinforcing members evenly disposed at the bottom of the tank body; the two sets of support seats are longitudinally spaced at both ends of the tank body, each set having two support seats spaced laterally along the tank body; the support seat is an internally hollow shell, the support seat having an opening communicating with the interior of the shell, the opening facing upwards, and the support seat is located at the periphery of the opening and is connected and fixed to the bottom of the tank body; each support seat extends longitudinally, and one end of the support seat along the longitudinal direction is connected to the end frame; the reinforcing members are received inside the support seat through the opening, and the reinforcing members are respectively connected and fixed to the inner wall of the support seat and the bottom of the tank body, thereby achieving support and reinforcement of the support seat, increasing its impact resistance, and enabling the support seat, as a load transfer area, to effectively transfer and distribute the load of the tank body.

The application discloses a kind of robot post-disaster rescue collaboration methods based on deep learning and large language model, by introducing " reflection mechanism " in natural language processing, realize task semantic analysis, dynamic optimization and adaptive scheduling.Large language model generates task semantic graph and combines reinforcement learning to adjust priority in real time, form closed-loop task reflection and optimization process, greatly improve the flexibility and adaptability of robot in complex environment.Design " distributed perception bridge " module, through attention mechanism dynamic screening and sharing key perception data, realize the efficient cooperation of heterogeneous robot, even in the condition of unstable communication still can guarantee rescue efficiency.Based on the reinforcement learning model driven by environmental characteristics, real-time perception of physical properties such as fragment density and slope, optimize behavior strategy, improve the generalization ability and robustness of model.Through " force-semantic coupling " motion planning, dynamically adjust the operation path and force of manipulator, improve the success rate of complex task.

The invention provides a network selection method and device, electronic equipment and a chip system, and relates to the technical field of wireless communication, and the method comprises the steps: obtaining the cell information of a first cell, the first cell being a cell which is searched by a first communication entity in a network selection task and satisfies a first residence condition; the first communication entity is determined based on the entity identification information corresponding to the plurality of communication entities and the arbitration rule. And determining whether the first cell satisfies a second residence condition corresponding to the second communication entity based on the cell information and the target network identification information corresponding to the plurality of communication entities. And instructing the second communication entity to reside in the first cell under the condition that the first cell meets the second residence condition and the first communication entity and the second communication entity meet the switching condition. According to the method, the searched adaptive cell resources can be efficiently utilized, the overall network residing time of the multi-communication entity terminal is greatly shortened, and the network selection efficiency of the multi-communication entity is effectively improved.

This invention discloses a data product identity ID generation method based on a data grid, belonging to the field of data processing technology. It includes constructing a system communication architecture based on a data grid, employing a distributed, multi-layered data product identity ID design within the communication architecture. This solves the technical problem of achieving efficient ID generation algorithms and query mechanisms using data grid-based data product identity ID generation. This invention ensures that the generated identity ID is globally unique within the data grid, improving user understanding and interpretability of its meaning, facilitating the expression of relationships and dependencies between data products, possessing strong versatility, improving interoperability between the system and applications, allowing for flexible expansion and customization, ensuring efficient data transmission and low-latency communication, while also possessing reliability. The design employs the BGP routing protocol, enabling the selection of the optimal path, avoiding loops, and achieving data communication across autonomous systems.

This invention relates to a method and system for constructing a database of wild rice introduction lines. The method includes: acquiring raw genotype data, sample metadata, and phenotypic data of individual samples from multiple wild rice introduction line populations, where the sample metadata includes a sample number; parsing and identifying the raw genotype data to determine the fragment location, fragment type, and fragment length of the wild rice introduction fragment, thus obtaining the corresponding genotype data; and, based on the sample number, associating and integrating the genotype data, sample metadata, and phenotypic data to generate a structured dataset. This structured dataset is then used to construct a database corresponding to multiple wild rice introduction line populations, improving the integration and correlation of wild rice introduction line data, promoting the collaborative utilization of genetic resources, facilitating the sharing of genetic resources among wild rice introduction line populations, and enhancing the interoperability and value of scientific research resources.

The invention relates to the technical field of network security, in particular to an eBPF-based access control method and device and electronic equipment, and is used for improving the efficiency and accuracy of IP black and white list access control. The method comprises the following steps: receiving target network feature information of a to-be-detected network data packet; according to a preset access control rule, performing matching query on the target network feature information through an eBPF program to obtain a matching result of the to-be-detected network data packet; the access control rule is predefined by the user space and transmitted to the kernel space; the access control rule comprises at least one of the following rules: a blacklist rule used for defining a first network feature information set forbidden to access, and a white list rule used for defining a second network feature information set allowed to access; the matching result represents a matching relationship between the network feature information and the access control rule; and performing corresponding access control on the to-be-detected network data packet through the eBPF program according to a matching result.

The embodiment of the invention relates to a skin disease management building system based on multi-modal medical data and a method thereof. The system comprises a data collection module, a data processing module and a federal learning module. The data collection module is used for collecting multi-modal data; the data processing module is used for generating global feature data from the multi-modal data; and the federated learning module is used for performing federated learning by using the global feature data in combination with the central server so as to obtain an auxiliary diagnosis model. According to the technical scheme provided by the embodiment of the invention, through close combination of multi-modal data integration, federal learning, real-time data processing and analysis and cross-mechanism data collaboration, a privacy-protecting, efficient and intelligent skin disease management building system is formed.

This application provides a cross-platform memory sharing method, apparatus, device, storage medium, and program product. The method includes: responding to a query request sent by a first requesting platform based on a standardized interface defined by a memory sharing protocol layer; verifying the query request according to preset permission information; wherein the permission information includes access permissions granted by the service platform to different requesting platforms; the access permissions are associated with at least one database or sub-database in the service platform and specify the corresponding operation type; if the query request is verified, performing a semantic query on the query request to obtain a memory fragment; and returning the memory fragment to the first requesting platform based on an interoperability engine. This method can achieve efficient sharing and collaboration of memory across platforms, improving the continuity and personalization of overall intelligent services.

The present disclosure relates to a communication technique, which is a convergence of IoT technology and 5G communication system for supporting higher data transmission rate beyond 4G system, and a system for same. The present invention can be applied to smart services (e.g. smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail businesses, security- and safety-related services, etc.) on the basis of 5G communication technology and IoT-related technology. The present disclosure discloses a method and apparatus for retransmitting synchronous and asynchronous data, and a method and apparatus for recognizing and sharing a HARQ process ID between a terminal and a base station

A reinforcement learning system, method, and computer program code for controlling an agent to perform multiple tasks while interacting with an environment. The system learns options, where an option comprises a sequence of primitive actions performed by the agent under the control of an option policy neural network. In implementations, while the agent interacts with the environment, the system discovers options useful for multiple different tasks by a meta-learning reward for training the option policy neural network.

The application discloses a low-code integrated development system based on multi-path intelligent recommendation, stores code modules through a code module warehouse subsystem, and records quality information and version information of the code modules and user permission information, thereby reducing dependence of the system on business scenarios and improving usability and flexibility of the system. Modification and update of the code modules are realized through a low-code development subsystem; a multi-path intelligent recommendation algorithm of the code module warehouse subsystem is used to search and recommend code modules for the low-code development subsystem, selective elimination of custom code modules can be realized, hierarchical clustering of the code modules is realized, search and recommendation of the code modules are realized according to a quality level coefficient, and higher-quality code modules can be provided for users. Process tracking and quality assurance documents are established through an automatic process management subsystem, thereby improving quality assurance of the custom code modules and reducing process management overhead caused by introduction of the low-code development platform.

The invention provides a hydropower engineering design data modeling system based on a BPRS method, which comprises a process object enumeration library, a design semantic library, a geometric feature library, a design parameter library, a business process library, a visual modeling module, a data modeling engine, a database structure generation module, a data exchange standard generation module and a collaborative interface module, unification of design data, business processes and system structures is realized, and multi-specialty collaboration, parameter association, semantic modeling and automatic generation of data standards are supported. According to the method, efficient collaboration, parameterized management, semantic modeling and standardized generation of hydroelectric engineering design data can be realized, the problems of data islands, flow breakage, semantic deficiency and the like in traditional design are solved, and the design efficiency and the intelligent level are improved.

The application discloses an edge cache network user inter-content sharing incentive method based on power perception, and comprises the following steps: establishing an edge cache network scene; establishing a content sharing management system in the edge cache network; and realizing the incentive of user inter-content sharing based on power perception, which comprises the following steps: calculating the evaluation of B-type users on content and the energy consumption cost of S-type users in transmitting content; B-type users submitting their request information to a small base station, and S-type users submitting their state information to the small base station; obtaining a matching success set through a user matching algorithm; determining the final integral deduction amount of B-type users and the final integral reward amount of S-type users by using a pricing scheme; and the users in the matching success set sharing content according to the information published by the small base station. Compared with the prior art, the application can effectively encourage the sharing of content among users, take into account the interests of both buyers and sellers, and maximize social welfare as much as possible.

This invention provides a multimodal fusion system and method based on neural networks. The fusion method specifically includes: (1) frequency filtering, which introduces a frequency filtering module before multimodal signal fusion to suppress the effects of high-frequency noise or texture artifacts in multimodal data that vary depending on the modality, thereby enabling the attention layer to focus on semantically meaningful content; (2) multimodal cross-attention fusion, which extends the early multimodal attention fusion mechanism by integrating cross-modal attention mechanisms and fine-grained hierarchical attention mechanisms through a cross-modal cross-attention fusion module to support more powerful cross-modal feature exchange. This invention can effectively improve the robustness of multimodal object detection under various datasets and sensor conditions. By combining frequency domain denoising with cross-modal perceptual attention, it can reduce noise from each modality and promote the effective exchange of complementary features between different modalities.

The application provides a network data processing method, device and equipment, belongs to the technical field of network security compliance data processing, and solves the problem of leakage risk of a large amount of data in the transmission and use process when cross-organization shared data. The method comprises the following steps: receiving target data to be transmitted; classifying the target data to be transmitted to obtain at least one type of first data; respectively encrypting the at least one type of first data to obtain at least one second data; performing homomorphic encryption processing on the at least one second data to obtain third data; performing differential privacy processing on the third data to obtain fourth data; and transmitting the fourth data. The scheme enhances the security and privacy of data in the transmission, processing and storage process, can meet the requirements of network security compliance, realizes fine-grained access control, significantly improves the data processing efficiency by reducing the data decryption scene, and realizes efficient processing and sharing of data.

The application relates to the technical field of artificial intelligence, can be applied to business system platforms such as medical health and financial technology, and discloses a data sharing method and device, computer equipment and a storage medium, wherein the privacy leakage risk of original data in an original intelligent agent is determined according to a preset dynamic privacy risk graph; the original data is risk classified according to the privacy leakage risk, the risk level of the original data is obtained, the maximum information loss threshold value that can be accepted by a target intelligent agent is reversely mapped based on the risk level, the desensitization strategy of the original data is determined according to the maximum information loss threshold value and the risk level; the original data is desensitized according to the desensitization strategy, target data is generated; the trust level of the target intelligent agent is evaluated, and it is determined whether the target data is shared to the target intelligent agent according to the trust level evaluation result and the privacy leakage risk; therefore, the application can realize efficient and safe data sharing under the premise of protecting privacy.

The invention discloses an EDA design object model and sample data multiplexing method based on dynamic and static separation attribute matching, and belongs to the technical field of circuit automation. According to the method, design attributes are divided into dynamic attributes and static attributes, and an attribute packet separated from a design identifier is constructed for encapsulation and de-encapsulation, so that efficient reuse of a design object model and a sample is realized. The multiplexing process roughly comprises the following steps of: firstly, realizing accurate matching of topology and static attributes through graph isomorphism and node mapping, then screening entries of which dynamic attributes accord with a range, and providing a matched subsequent sample or model preferential method. Meanwhile, the matched storage method realizes data standardization from the source. The achievement provides powerful support for a user side to automatically deploy an AI agent model of any circuit or element, and further lays a foundation for realization of native-AI EDA; the core method is wide in applicability and can be used for sample and agent model multiplexing at the same time, and the implementation and application value of the scheme are greatly improved.

The application relates to the technical field of power distribution network protection, and discloses a power distribution network fault scene setting value checking method based on reinforcement learning, which comprises the following steps: constructing a hierarchical multi-agent checking system; constructing the hierarchical multi-agent checking system, a high-level agent performs fault situation awareness and decomposes a global setting value checking target, subtasks are distributed to low-level agents for execution, and task distribution and execution are realized through collaborative optimization; after a large number of distributed photovoltaic power is accessed to the power distribution network, the complexity and uncertainty of the power distribution network fault scene are enhanced, fault types include two-phase short circuit, two-phase ground short circuit and three-phase short circuit, protection behaviors under different fault positions are obviously different, fault characteristics are changed, boosting and external pumping effects are generated, overcurrent protection ranges are changed, protection is mismatched, overstep tripping and misoperation are caused, and then the power outage range is expanded; in view of the complex fault scene, the hierarchical multi-agent architecture is adopted, high-level coordination and bottom-level negotiation are carried out, and efficient task distribution and execution are realized.

This invention provides a door assembly structure and vehicle, belonging to the field of automotive door technology. It includes an inner door panel and an outer door panel, with an outer panel reinforcing plate, an outer panel support plate, a door anti-collision beam, and a door lock reinforcing plate disposed between the inner and outer door panels. The outer panel reinforcing plate, outer panel support plate, and door anti-collision beam are arranged sequentially from top to bottom. The door assembly structure provided by this invention utilizes a first force transmission channel and a second force transmission channel to transmit the impact force of a side impact on the door assembly to the vehicle body, reducing the degree of inward indentation of the door, ensuring door strength, improving its rigidity, and achieving improved NVH performance. The structure is arranged in three directions (X, Y, and Z) to ensure that the structure can transmit force in each direction. The triangular adhesive area forms an adhesive fixation for the outer door panel, significantly improving the stability of the outer door panel installation.

This invention discloses a cloud computing-based method and system for sharing UAV surveying and mapping data, relating to the field of UAV surveying and mapping technology. It executes surveying and mapping data role declarations, determines user access types and generates access control contracts, collects raw surveying and mapping image data, identifies geographic hotspot areas and establishes a cache synchronization mechanism, schedules surveying and mapping image data to edge nodes based on a predictive model, records user access behavior and performs anomaly audit analysis, constructs surveying and mapping image data subscription channels and implements dynamic caching configuration strategies. Through multi-role permission negotiation, edge preprocessing, hotspot area caching, predictive scheduling, access behavior auditing, and personalized subscription mechanisms, this invention achieves efficient sharing of surveying and mapping image data among multiple nodes, improves the accuracy and timeliness of data transmission, reduces redundant collection and bandwidth consumption, enhances access security and permission controllability, and effectively solves the problems of high sharing latency, difficult collaboration, and inflexible permission management in existing technologies.