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

The invention provides a system migration method and device and a related product, and relates to the technical field of system migration. The method comprises the following steps: evaluating the compatibility of an application of a target application on a source system on a to-be-migrated system and a compiling operation environment, the suitability of an executable file and the suitability of configuration through a migration evaluation agent; determining source code transplantation modification content or configuration modification content corresponding to the library package or the executable file incompatible with the to-be-migrated system in the migration process; transforming a library package which corresponds to the target application and is incompatible with the to-be-migrated system through the migration transformation agent, and performing code optimization on the source code of the target application according to the source code migration modification content; the migration transformation agent modifies the configuration of the target application according to the configuration modification content; and automatically migrating the target application on the source system and the corresponding library package to the to-be-migrated system through the migration implementation agent. According to the embodiment of the invention, the migration of the system can be efficiently and accurately completed.

The utility model relates to water body ecological management equipment technical field especially, more particularly to a kind of shipborne lifting rope winding device used in cooperation with flexible water body ecological wave-damping enclosure, including flexible water body ecological wave-damping enclosure, workboat and lifting rope winding mechanism;Lifting rope winding mechanism is installed on the deck of workboat, and lifting rope winding mechanism can be separately detached;Lifting rope is cooperatively provided on flexible water body ecological wave-damping enclosure, and flexible water body ecological wave-damping enclosure is driven connection by lifting rope and lifting rope winding mechanism, for the realization of the storage and release of lifting rope to adjust the underwater deployment state of flexible water body ecological wave-damping enclosure;The utility model provides the accurate adjustment and efficient storage and release support of underwater deployment state for flexible water body ecological wave-damping enclosure, helps to improve the automation level and operation stability of water body ecological management, and is applicable to the quick deployment and adjustment of flexible enclosure system in river, lake, reservoir and other natural or artificial water body.

The present application provides a method, device, electronic device and storage medium for automatically adjusting network resource configuration based on a probabilistic grammar model, the method comprising: first, using network connection data to train a probabilistic grammar model corresponding to each service state, these models are constructed based on a probabilistic knowledge graph. Then, the working status data of the target node in the target time period is obtained, and these data are input into the probabilistic grammar model to obtain the first graph data. The target graph data with the highest similarity to the first graph data is selected from the pre-trained second graph data, and the working status is determined based on the target graph data. Finally, the node state of the target node is predicted based on the working status, and the target node is adjusted according to the prediction result. The present application can improve configuration efficiency.

The invention relates to the technical field of communication, in particular to a cross-domain network slice reconstruction method and device, equipment, a medium and a program product, and the method comprises the steps: calculating the importance value of each node in a current network slice demand according to a pre-constructed network slice demand model, and generating a node mapping sequence between the nodes; in combination with the network slice demand model and the node mapping sequence, searching nodes which simultaneously meet virtual node mapping conditions and cross-domain network domain constraint conditions in the physical node set to obtain an initial candidate physical node set; performing node mapping, and when the node mapping fails, activating a slice reconstruction mechanism to generate a candidate migration node set; and utilizing the candidate migration node set to obtain a complete migration physical node set required by the current network slice, and realizing slice reconstruction. Therefore, the problems that in the related technology, the success rate of the network slices is low, and along with increase of the number of the slices, the computing efficiency of network slice deployment is low, and consumed time is long are solved.

The invention relates to the technical field of craniocerebral injury biomechanical analysis, discloses a semi-automatic craniocerebral injury index CSDM extraction method, and aims to improve CSDM extraction efficiency, applicability and flexibility. The method comprises the following steps: a brain tissue area display state pre-selection step: importing a head model simulation result file into post-processing software, screening and retaining brain tissue entity unit components, hiding irrelevant components and recording parameters; a strain and volume frame-by-frame output step: compiling an automatic script based on a post-processing software secondary development function to realize frame-by-frame output of unit data; and an automatic operation step: automatically calculating the CSDM value of each frame based on the output file through a Matlab calculation program. According to the method, the problems that manual extraction is low in efficiency and prone to errors and a full-automatic method is poor in universality are solved through a manual preprocessing and automatic calculation fusion mode, and the method is suitable for various head models and supports craniocerebral injury mechanism research and clinical assistance.

The invention relates to a data migration method and system, and belongs to the technical field of data processing.The method comprises the steps that a first Master node is deployed in a first machine room, and under the condition that the first Master node is initialized, cluster information and metadata information of a second Master node are synchronized to the first Master node based on connection between the second Master node in a second machine room and the first Master node; under the condition of the first limited routing rule, deploying a coordination node, a data node and a first consumption cluster in the first machine room; and migrating the data of the data node in the second machine room to the data node in the first machine room under the condition of carrying out rollover operation on the index. According to the method, the migration of the large-scale cluster is realized, the migration cost is reduced, the complexity of technical implementation is reduced, and the influence on the outside is minimized.

The invention relates to the technical field of communication, and discloses a construction method and system capable of arbitrarily expanding MQTT (Message Quantitative Trait Transport) multiple clusters based on a controllable dynamic route, and the system comprises an equipment management service module which is used for distributing an affiliated MQTT cluster to equipment and writing the information of the affiliated MQTT cluster of the equipment into an equipment route storage module; the MQTT cluster ip manager is used for managing and maintaining an MQTT cluster list and a node ip list of each MQTT cluster and writing the MQTT cluster list and the node ip list into the equipment routing storage module; and the MQTT reverse proxy gateway is used as a unified entrance for equipment access, analyzes the connection request message when the equipment is connected, reads the MQTT cluster which should be connected with the equipment in the equipment routing storage module, proxies the connection request of the equipment, and forwards the connection request to a correct MQTT cluster node. According to the method, high-performance access and resource optimization are realized, the equipment is ensured to reach a specified node through one-time connection, the time sequence is maintained, reliable connection is provided, the distribution problem is solved, and the migration cost is reduced.

This application provides an electronic paper display device and an electronic device, relating to the field of display technology. The electronic paper display device includes: a top substrate and a bottom substrate; an electrophoretic layer disposed between the top substrate and the bottom substrate; and a partition layer disposed between the top substrate and the bottom substrate. The partition layer includes a plurality of first partition walls and a plurality of second partition walls, which are staggered to divide the electrophoretic layer into a plurality of receiving portions. Each first partition wall has a first electrode disposed on two opposite sides, and each second partition wall has a second electrode disposed on two opposite sides, the second electrodes forming an inclined working surface. This application achieves a dual-image display effect on the electronic paper screen.

This application discloses a method, apparatus, and program product for migrating multi-UAV collaborative inference services, belonging to the field of UAV technology. The method includes: acquiring comprehensive attribute data of multiple UAV clusters, including cluster attribute data and UAV attribute data, where the UAV attribute data includes the body attribute data and task attribute data of multiple UAVs within the cluster; performing rolling prediction processing based on the comprehensive attribute data of each UAV cluster to obtain migration requirement data for each UAV cluster, representing the cross-cluster UAV migration requirement and intra-cluster task migration requirement of the UAV cluster in the next time slot; and optimizing the cross-cluster UAV migration scheme and the intra-cluster task migration scheme of each UAV cluster based on the migration requirement data and comprehensive attribute data, and performing corresponding migration processing accordingly. This application can effectively reduce the migration cost of multi-UAV collaborative inference service migration.

The present disclosure provides a heterogeneous database function classification and heterogeneous database migration method, which can be applied to the field of information security technology. The method comprises the following steps: obtaining a source database function set and a target database function set, the source database function set comprising a plurality of source library functions, the source library function comprising a source library function name, the target database function set comprising a plurality of target library functions, the target library function comprising a target library function name; calculating the similarity of the plurality of source library function names and the plurality of target library function names through a word vector to obtain a function name mapping relationship; obtaining an input parameter; based on the input parameter, executing the plurality of source library functions and the plurality of target library functions that exist in the function name mapping relationship to obtain an output parameter; and based on the difference of the output parameter, outputting a function classification of the source library function, the function classification at least comprising a direct migration category. The present disclosure also provides a heterogeneous database function classification and heterogeneous database migration device, equipment, a storage medium and a program product.

The utility model discloses a modularized vibrating screen substation, and relates to the technical field of screening equipment. Comprising a modularized base, a bracket is arranged at one end of the modularized base through a pin, a hydraulic cylinder is hinged to one end of the bracket through a pin, the other end of the hydraulic cylinder is hinged to the modularized base through a pin, a discharging main belt is installed at the bottom of the bracket, and rubber dampers are installed on the periphery of the top of the bracket. According to the modularized vibrating screen substation, through cooperation of the modularized base and the detachable screening machine, first-line on-site screening can be carried out on materials, discharging can be completed without additional screening equipment, the intermediate link that the materials are transported away from the site to be crushed, screened and treated is omitted, the transportation cost of the materials is greatly reduced, and the screening station is flexible in configuration, convenient to operate and high in practicability. After the materials are processed, the side conveying belt can be folded, the vibrating screen classifier can be horizontally placed, the screening station can avoid long-distance transportation of the raw materials, and the migration cost is far lower than that of a traditional fixed screening station.

This invention provides a method for constructing relationships in a land spatial information model (TIM), relating to the field of data processing. Specifically, it includes the following steps: generating a three-segment structured code for geographic entities; constructing a "topological potential field emergence engine for geographic entity relationships" based on the generated three-segment structured code, automatically deriving multi-dimensional relationships between geographic entities, and outputting a standardized and evolvable geographic entity relationship map; and achieving integrated coding fusion and application across provinces, cities, and counties based on a hierarchical mapping knowledge base and a resource code fusion model, supporting smooth migration of existing data and end-to-end business collaboration. The technical solution of this invention overcomes the problem in existing technologies where the association logic between various domains and TIM geographic entity relationships is not yet clear, making it difficult to support the integration of multi-dimensional geographic entity relationships based on time, attributes, and business.

A data storage method and related device, the data storage method comprising: obtaining historical transaction information; determining the closeness between a plurality of data according to the historical transaction information, the closeness representing the degree of association between the plurality of data; and performing data migration on the plurality of data according to the closeness between the plurality of data, to adjust the distributed layout of the plurality of data in a plurality of storage nodes. The historical transaction information represents information about processing the plurality of data in a historical transaction, and the plurality of data is stored in the plurality of storage nodes in a distributed manner. In this application, the distributed storage location of the data is more in line with the law of reading and writing data in the historical transaction. Thus, when processing an actual transaction, the number of data migration is less, and the cost of data migration is lower. In addition, the distributed storage of the data will change with the change of the transaction content.

Embodiments of the present application provide a database query method and device, equipment, storage medium and program product, and relate to the field of database management. The method comprises: obtaining a first structured query language (SQL) statement and a first type parameter, the first type parameter being used to indicate extensible markup language (XML) data or a target XML object; determining a first syntax tree of the first SQL statement; rewriting the first syntax tree according to the first type parameter to obtain a second syntax tree, each XML node in the second syntax tree comprising a type identifier, the type identifier being used to indicate the XML data or the target XML object; in the case where the type identifier is used to indicate the target XML object, generating a corresponding target XML object according to the second syntax tree, the target XML object comprising XML data and metadata; or, in the case where the type identifier is used to indicate the XML data, generating corresponding XML data according to the second syntax tree. The method provided by the present application improves the compatibility of database query.

The application discloses a kind of context dynamic pruning methods for multi-agent dialogue.The method comprises the following steps: S1: input acquisition and context field object standardization, standardize multi-source heterogeneous data into context field object with state marker and store;S2: context storage and pruning trigger judgment, monitor the state of storage area to trigger dynamic pruning;S3: context compression, the completed history context is compressed into structured abstract;S4: context evaluation and dynamic pruning, when pruning triggers, obtain active and abstract context from storage area to form candidate set, and execute core dynamic pruning processing;S5: task routing, then route the task to sub-agent based on capability matrix and weight;S6: sub-agent execution and result aggregation, generate final result after aggregating each agent output.The application solves the problem of efficiency and accuracy imbalance in long context management, and realizes intelligent retention and accurate routing of key information.

The invention relates to the technical field of multi-modal large models, in particular to a multi-modal large model sales assistant product document structure identification method and system. The method comprises the steps of obtaining to-be-identified sales assistant product document information; and inputting the acquired to-be-identified sales assistant product document information into a preset multi-modal model, and outputting the identified sales assistant product document information. It can be understood that according to the technical scheme provided by the invention, the multi-modal large model is utilized, the text and the visual information are utilized at the same time, the text and the visual information are utilized at the same time for document structure recognition, and the recognition effect is excellent; in addition, the dependence on the annotated data volume can be reduced, and meanwhile, the new scene migration cost is low; a model end-to-end scheme can be generated, the position, the type and the reading sequence of the content blocks are generated at the same time, and the limitation of the generative loss is made up by proposing the multi-task loss combining the generative loss and the regional frame regression loss.

The application discloses a kind of based on post-quantum signature operating system security authentication and key management method, belong to operating system security and quantum security technical field, including the following steps, establish the three-layer security architecture model based on hardware trust root-post-quantum signature chain-mixed key management;Operating system security authentication is carried out based on three-layer security architecture model;After security authentication passes, the whole life cycle management of post-quantum key is executed to generate key, and in the process, the way of hardware isolation and encryption protection is used to ensure that key is not leaked, traceable and controllable;Post-quantum signature and the post-quantum key obtained in the above step are deployed to the operating system and terminal equipment that have passed security authentication, the application uses the above method, realizes operating system full-scene anti-quantum security authentication, guarantees the safety of the whole life cycle of key, realizes the smooth compatibility with existing traditional cryptographic system, reduces migration cost, improves the overall security level of operating system.

This invention proposes an access authentication method that binds switch ports to hosts, addressing the challenges of server-side port verification and high management complexity when multiple clients access the network. This method aggregates switch port information (switch identifier + port number) into logical users and binds them to client certificates for unified authentication. Clients can obtain current port information via a link-layer discovery protocol and submit authentication requests in the form of "switch identifier - port number." The authentication server verifies the connection based on stored port information, logical users, and certificate public keys. If the connection port does not match the binding relationship, access is rejected. The authentication request includes the MAC address of the first connected switch to prevent switch spoofing. This technology effectively improves authentication security and flexibility. When network configuration changes, only the binding relationship needs to be updated on the server side, without modifying client configurations, thus significantly reducing the management burden.

This invention discloses a knowledge-guided method and system for predicting metal-ion-organic interactions, belonging to the fields of environmental separation and computational chemistry. The method constructs a training set through DFT calculations, extracts organic molecule descriptors, and quantifies their prior relationship with binding free energy. It employs a graph attention network to extract molecular features and fuses metal ion features using a cross-attention mechanism. A loss function incorporating prior knowledge is designed, and high-precision prediction is achieved through two-stage training. This invention solves the problem of traditional machine learning's dependence on large amounts of labeled data, maintaining excellent performance even in sparse data scenarios. It is suitable for high-throughput screening of separation agents such as extractants and adsorbents, significantly reducing R&D costs.

The present invention proposes a non-intrusive load identification method based on metric learning. The present invention maps the load current characteristics to the metric space through a one-dimensional convolutional neural network, uses triplet loss to achieve feature clustering during network training, and performs similarity discrimination on the metric space features to achieve load identification. This method can effectively identify unknown loads and has strong generalization ability; on the other hand, metric learning, as one of the methods of small sample learning, can reduce the dependence on training samples and has high practicality.

The invention discloses a micro-seismic monitoring event classification method, and belongs to the technical field of micro-seismic monitoring. According to the method, features in channels are concerned through a single-channel classification model based on deep learning, a microseismic event classification model based on machine learning is used, and obtained single-channel information prediction classification results are integrated. The method is good in interpretability and decoupling performance, and a single-channel classification model only pays attention to the features of a single channel, so that during migration deployment, compared with an end-to-end classification model directly taking multiple channel data as input, the training time and hardware cost are remarkably reduced, and the migration cost is low.

The invention discloses a dynamic switch migration method and system based on multi-objective optimization, and belongs to the technical field of communication networks, and the method comprises the steps: partitioning a controller according to the load of the controller, calculating a flow table item set updated by each switch in a set time period, and calculating the total processing overhead generated when the controller processes the flow table item set; carrying out two combinations on the underload controllers in the underload controller set and the switches in the candidate switch set, wherein each combination comprises one underload controller and one switch; according to the total processing overhead of the controller, determining the control plane load balancing rate and the migration cost of the switches migrated to the underload controller in the combinations, according to the control plane load balancing rate and the migration cost, determining the cost-effect ratio of each combination, and selecting the combination with the minimum cost-effect ratio as a migration target; load balancing is achieved, and migration cost is reduced.

The application discloses a collaborative design method and system of a power semiconductor device, and relates to the field of computer-aided design, and comprises the following steps: constructing a machine learning agent model composed of a process implementation mapping model and a device physical agent model in series, and simulating and verifying the device-process-circuit multi-domain characteristics of the power semiconductor device; when the machine learning agent model calibrated in a source foundry is migrated to a target foundry, the parameters of the device physical agent model are kept unchanged, and only the process implementation mapping model is refitted with the characterization samples of the target foundry; multi-objective optimization is performed on the device physical agent model, physical structure parameters and doping profiles are obtained, which make the electrical characteristics fall into respective target intervals, and then the design intention parameters of the target foundry are calculated reversely through the refitted process implementation mapping model and are output after verification. The application solves the problem of optimization direction deviation when the same power semiconductor device is migrated between different foundries.

This invention discloses a stablecoin e-wallet security shield and verification method based on dual-chip collaboration, belonging to the fields of information security and blockchain technology. The device includes a physically isolated quantum random number chip and a traditional random number chip, both directly connected to a security chip interface via dedicated hardware. The quantum random number chip and the traditional random number chip generate truly random numbers based on quantum physics processes and transmit them directly to the security chip for dynamically generating a one-time private key for transaction signing, which is then immediately destroyed after signing. The security chip has a built-in stablecoin compliance module that supports multi-chain, multi-currency, and amount threshold verification, and generates a replay protection check code for dual verification. This invention achieves unpredictable key sources, resistance to quantum attacks during transactions, and precise adaptation to stablecoin compliance, combining high security, strong compatibility, and low user learning costs.

The invention discloses a user mode encryption and decryption file system unloading system and method supporting an in-line mode and a medium, and relates to the technical field of data processing and storage. The system comprises a host end, an FPGA hardware module and a TIPU end. The host end is configured with an fs-Client driving module, intercepts a file operation request, packages the file operation request into an encryption request or a direct connection request according to a user-defined protocol, and sends the encryption request or the direct connection request to the FPGA hardware module; the FPGA hardware module integrates a data packet analysis and encryption and decryption module, extracts encryption and decryption parameters according to a direct connection request and performs in-line type real-time encryption and decryption on file data; and the TIPU end receives the processed data or the unvarnished transmission request through an SPDK framework and an fs-Server service module running in a user mode, manages the encrypted meta information and interacts with the rear-end storage to complete reading and writing. According to the method, deep fusion of encryption and decryption and an IO path is realized, loss caused by repeated copying of data is eliminated, the computing power of a host CPU is released, and the throughput and data security of the system are remarkably improved.

The application provides a database migration method and device, equipment and storage medium, relates to the technical field of database, can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation and auxiliary driving, and includes the following steps: acquiring first data table information and first view information of a source database and second data table information and second view information of a target database respectively; generating a table creation statement of a first data table corresponding to the source database according to the first data table information and the first view information; generating a table creation statement of a second data table corresponding to the target database according to the second data table information and the second view information; comparing the table creation statement of the first data table and the table creation statement of the second data table by string comparison to obtain a table structure comparison result; and performing database migration based on the table structure comparison result to migrate target data in the source database to the target database, which can effectively improve the security of database migration.