457results about How to "Achieve migration" patented technology

The invention discloses a system for identifying traditional form information and establishing a corresponding Web form, which comprises a client and a server, wherein the client and the server are connected by a network; the client also comprises a common object library, a traditional form identification unit and an image identification and conversion unit; the server also comprises an information characteristic library, a first data table, a second data table, a Web form template resolution unit and an example form background response program; and the traditional form identification unit comprises a traditional form information reading module, a computational analysis module, an identification module, a user modification and setting module and a transmission module. The invention also discloses a method for identifying the traditional form information and establishing the corresponding Web form, which comprises the following steps: (1) reading in the traditional form information; (2)identifying and analyzing; (3) modifying and setting; (4) transmitting and storing; and (5) resolving. The invention has the advantages of practicality, simplicity, convenience, rapidity, low cost, strong applicability and the like.

The invention discloses a method for realizing platform migration by using virtualization technology. The method comprises the following steps of: building a virtualization platform on a source server, configuring a source memory device and establishing mapping relationship between the original memory device and the source server to form a source virtualization platform; determining whether the migration is online migration or offline migration, if the migration is the online migration, stopping trunking services and normally operating application on a single source virtual machine so as to ensure the non-interruption of the services; deploying virtualization backup software on a backup server to form a virtualization backup tool; backing up a mapping file of the source virtual machine by using the virtualization backup tool; building, deploying and storing a target virtualization platform; recovering the mapping file to the target virtualization platform; and starting the application on the target virtualization platform and stopping the application on the source virtualization platform at the same time so as to realize the cross-hardware platform online migration of the application. In the method, as the online backup function of the virtualization backup tool is utilized, so that all the services operated in a trunking environment are not interrupted.

The invention is suitable for the technical field of computers, and provides a key generation, backup and migration method and system based on trusted computing. The method comprises the following steps of: receiving a key generation request input by a user; controlling a trusted platform module to generate a platform migratory key, encrypting the platform migratory key by a public key of a root key of the trusted platform module, and storing a cipher text key of the platform migratory key; controlling the trusted platform module to generate a user migratory key, encrypting the user migratory key by using the public key of the platform migratory key, and storing the cipher text key of the user migratory key; and controlling the trusted platform module to generate a binding key of the user, and encrypting the binding key by using the public key of the user migratory key, and storing the cipher text key of the binding key. According to the method and the system, the generation, backup, recovery and migration of the key are realized based on a trusted computing module in the trusted computing, and the security of the key in the generation, backup, recovery and migration processes is improved.

The invention provides a face expression migration method based on a self-supervised learning and generative adversarial mechanism. The method comprises a face identity and attitude self-supervised decoupling network design step, a generative adversarial network condition generation network design step, a model training step and an overall framework prediction step. In the face identity and posture self-supervision decoupling training step, a multi-frame deformation self-encoder is used for fusing face information of different frames from the same video sequence, a face image capable of representing the identity is estimated, and the image generally tends to the front face, is irrelevant to the posture and keeps the identity information. A self-supervised learning and generative adversarial mechanism is applied to a face expression and posture migration task, face identity and posture information in a video frame sequence is decoupled through a self-supervised method, and a labeled data set does not need to be used; and meanwhile, identity and posture information from different individuals is fused by using a generative adversarial network and a high-quality face is synthesized, sothat migration of facial expressions and postures among the individuals is realized.

The invention provides a remote data service system of a data base and a task scheduling method of the remote data service system. The remote data service system comprises a task scheduling module, a high-availability control module, a backup module and an on-line migration module. For a user, self-construction of a server and a data base is not needed by the adoption of the remote data service system and the task scheduling method, so that time is saved, and efficiency is improved; in addition, under the condition that the service amount of the user is increased, the user just needs to add storage nodes, data migration and the like can be completed by the system, as a result, use is convenient, and efficiency is high.

The invention discloses a cross-domain text sentiment classification method based on domain countermeasure self-adaption. The method comprises the following steps: inputting a word vector matrix, a category label and a domain label of a source domain sample and a target domain sample; Utilizing a feature extraction module based on a convolutional neural network to extract low-level features of thesample; constructing a constraint based on distribution consistency of a source domain and a target domain in a main task module, mapping a low-layer sample to a regeneration kernel Hilbert space, and learning a high-layer feature with transferability; inputting the high-level features of the source domain into a class classifier, and ensuring that the classifier has class discrimination on samples on the basis of reducing domain difference; a domain invariance constraint based on adversarial learning is constructed in an auxiliary task module, and low-level features are input into a domain classifier with adversarial properties, so that the classifier cannot judge the domain to which a sample belongs as much as possible, high-level features with domain invariance are extracted, and the migration problem of a source domain classifier to a target domain is effectively solved.

The invention relates to a disaster recovery backup system based on a virtual machine. The system comprises a deploying management module, a monitoring management module, a disaster recovery management module, a virtual machine deploying module, a virtual machine migration module and a virtual machine backup module. The deploying management module, the monitoring management module, the disaster recovery management module and the virtual machine migration module are connected in sequence. The virtual machine migration module and the virtual machine backup module are connected with a virtual resource pool respectively. The virtual resource pool is connected with the virtual machine deploying module. The virtual machine backup module comprises a copy server submodule, a copy engine submodule, a heartbeat detecting submodule and an external equipment buffering submodule. The copy server submodule and the copy engine submodule are used for transmitting a control system process. The external equipment buffering submodule comprises network buffering and peripheral disk storing buffering. Compared with the prior art, the fact that data are not lost, and applications are ceaseless is guaranteed, a user can have data which can be recovered at a crucial time, and customer production applications are ceaseless.

The invention provides a method and a device for achieving migration of a virtual machine in VPC. The method includes maintaining binding information between a virtual machine binary identifier for identifying the virtual machine and a provider edge router for providing service for the virtual machine; and under the condition that grouped data to the virtual machine are received, determining a binary identifier of a target virtual machine based on a received data packet, and determining the provider edge router associated with the binary identifier according to the maintained binding information, wherein the grouped data are to be routed to the determined provider edge router, and the binary identifier of the virtual machine comprises a private IP address of the virtual machine and a specificator capable of identifying a virtual private network (VPN) where the virtual machine is located.

The invention discloses a supported metal organic skeleton/graphene oxide hydrogen storage material and a preparation method thereof. The hydrogen storage material is formed by steeping palladium metal in a metal organic skeleton/graphene oxide carrier, wherein the loading capacity of the palladium metal is 1.0-5.0% of the mass of the carrier; and the metal organic skeleton is ZIF-8. The preparation method comprises the following steps: firstly heating reactants of dissolvable zinc salt, 2-methylimidazole and graphene oxide to prepare a metal organic skeleton/graphene oxide carrier material, and then loading dissolvable palladium salt in the metal organic skeleton/graphene oxide carrier to obtain the supported metal organic skeleton/graphene oxide hydrogen storage material under the condition of existence of a reductant and a dispersant by adopting an excessive steeping method. The supported metal organic skeleton/graphene oxide hydrogen storage material has good hydrogen storage performance at room temperature, and the process is simple.

The invention discloses a method and device for data block migration. The method includes the steps that the maximum bandwidth which permits an I/O request of an upper-layer application on a bottom-layer hierarchical storage device is set, flow of the I/O request of the upper-layer application on the bottom-layer hierarchical storage device is monitored, remaining bandwidth of the bottom-layer hierarchical storage device is calculated, when a data block needs to be migrated, whether the remaining bandwidth of the bottom-layer hierarchical storage device exists is judged, and if yes, migration I/O operation of the data block is executed. According to the method and device, under the condition that intensive migration I/O operation occurs, sufficient bandwidth can be supplied for the migration I/O operation. The remaining bandwidth is used for executing the migration I/O operation of data blocks needing migration, batch data migration is achieved, real-time performance and migration efficiency of data migration are improved, meanwhile a user defined bandwidth is set, the minimum bandwidth is used as the migration bandwidth, and influence on normal I/O operation is reduced as much as possible.

The invention discloses an infrared remote sensing water classifier construction method based on transfer learning. The method comprises the following steps: firstly, constructing a visible light remote sensing image (source domain) sample set with a label and an unlabeled infrared remote sensing image (target domain) sample set; secondly, extracting a local binary pattern feature of the visible light source domain sample, and training a support vector machine classifier in combination with a tag to initially classify the infrared target domain sample to obtain a pseudo tag of the infrared sample for simulating probability distribution of the target domain sample; based on a transfer learning theory, mapping the feature data of the source domain and the target domain into the same subspaceby taking minimization of a distribution difference distance between the source domain and the target domain as a target, and continuously optimizing a feature mapping matrix by correcting a pseudo label of a target domain sample; and finally, in the subspace, utilizing the optimized feature mapping matrix to transform the source domain feature data, and training a final infrared remote sensing water classifier based on the transformed source domain feature data and tags thereof.

The invention discloses a container configuration method and a computing node, and belongs to the technical field of network. The method applied to any computing node provided with a virtual machine and a bridge configuration module comprises that the virtual machine receives a container configuration instruction for configuring a target container; the virtual machine generates a network resourcecreating request with a target network identification, and sends the network resource creating request to a control node; and when the virtual machine and bridge configuration module receive the network resource information from the control node, a target container created in the virtual machine is configured according to the network resource information. Each container in the multiple computing nodes owns independent network resources, when the container of certain computing node is transferred to another computing node, the container can carry out communication needless of changing the usingnetwork resources, and the network resource used by the container is durable and can be migrated.

The invention discloses a multisource and multi-parameter fusion-based electric transmission/transmission equipment state abnormal mode recognition method and device. The method comprises the following steps of: obtaining original monitoring data; respectively sorting various pieces of state quantity data according to a time sequence; judging whether each piece of state quantity data is candidateabnormal data or not; when the state quantity data is the candidate abnormal data, generating a candidate abnormal data sequence at the current moment; and when the candidate abnormal data sequence does not accord with a preset normal data clustering feature, obtaining a plurality of monitoring data sequences in a first time period which comprises the current moment, and judging whether electric transmission/transmission equipment is abnormal or not according to the plurality of monitoring data sequences. The multisource and multi-parameter fusion-based electric transmission/transmission equipment state abnormal mode recognition method and device are capable of effectively reducing the algorithm complexity and space required for data storage and calculation, and can be used for rapid and effective recognition of various electric transmission/transmission equipment abnormal states.

The invention discloses a license multilevel management system, which comprises a license management unit, a content packing unit, an encryption machine in a content packing unit and a decryption machine in a terminal. The system also comprises an agent license management unit, wherein the agent license management unit is used for applying for a license from the license management unit and acquiring the license, uniformly managing at least one terminal in a local area network according to authority information in the license, and realizing multilevel management of the license. The invention also discloses a method for multilevel management of the license. The method comprises the following steps: the agent license management unit applies for the license from the license management unit and acquires the license, uniformly manages at least one terminal in the local area network according to the authority information in the license, and realizes multilevel management of the license. Withthe system and the method, individual requirement of a user can be met, series of problems of succession, removal, transference, and multilevel license distribution of use right of digital content can be completed.

The invention discloses a method and system for realizing flow migration, wherein a terminal UE (User Equipment)/a network side can request the network side or the terminal UE to perform the flow migration by means of a 3GPP (The 3rd Generation Partnership Project) access network or a non-3GPP access network; and the terminal UE and the network side are used for correspondingly migrating uplink/downlink IP (Internet Protocol) flows to the 3GPP access network via the non-3GPP access network or to the non-3GPP access network via the 3GPP access network. Accordingly, the method and system for realizing the flow migration, disclosed by the invention, can be used for realizing the switching between the non-3GPP access network and the 3GPP access network, and thus, the system flexibility and efficiency can be increased.

An embodiment of the invention provides a method and a device for balancing load of controllers. The method includes selecting an overload controller among overload controllers in a current period and determining that the selected overload controller is a first controller; determining to-be-shifted exchange boards among exchange boards controlled by the first controller; dividing the to-be-shifted exchange boards into exchange board units; selecting a slave controller for each exchange board unit from common slave controllers of all the exchange boards in the exchange board unit and utilizing the slave controller of each exchange board unit as a target controller for the exchange board unit; transmitting shifting information to the first controller and each target controller to shift the exchange boards in each exchange board unit onto the corresponding target controller by the aid of the first controller. The overload controller is a controller determined from the various controllers according to locally recorded load values of the various controllers and preset first load thresholds. The method and the device for balancing the load of the controllers in the embodiment of the invention have the advantage that the load balancing time efficiency can be improved.

The present inventive method discloses a joint user migration method and communication system and service GPRS supporting nodes, for realizing the migration of the joint user. The said method includes: a first service GPRS supporting node judges whether the users needed to be migrated is the joint customers of not, and if so, then sends the mobile equipment number of local storage to the second service GPRS supporting node; the second service GPRS supporting node initiates the location updating request to the corresponding mobile device according to the said number; and after the mobile equipment carried out the location update, the second service GPRS supporting node establishes Serving the association with the said mobile device and distributes the user IDs to the joint users. In addition, the present invention also provides a communications system and service GPRS supporting nodes. The present invention can realize the migration of the joint user.