35 results about "Computation sharing" patented technology

The invention provides a robot shared learning system based on a cloud platform. The system comprises a private model generation terminal and a cloud fusion computing sharing platform. The private model generation terminal is used for uploading the locally generated private model and the environmental feature information collected for generating the private model to the cloud fusion computing sharing platform. The cloud fusion computing sharing platform comprises a model fusion computing module. The model fusion calculation module is used for combinding the uploaded private model with other robot terminals, a private model generation terminal and / or other private models to generate uploaded environment feature information and merging and calculating the information with a sharing model stored on a cloud sharing computation sharing platform to generate a novel sharing model. The novel sharing model is downloaded and / or studied by other robot terminals, the private model generation modeland / or other private model generation models.

The invention discloses a Chinese remainder theorem based location privacy method in Internet-of-Things sensing layer authentication, and belongs to the technical field of Internet-of-Things safety. The method comprises the following steps that (1) at the distribution stage of key material, the key material is distributed from a key server and written into a radio frequency tag and a reader-writer; (2) at a search and authentication stage, the reader-writer and the radio frequency tag conduct data communication and authenticate validity of each other; (3) at the negotiated generating stage of a symmetric key, the reader-writer and the radio frequency tag calculates the shared key respectively, and the ID of the tag and other information are transmitted under the protection of the key. The method guarantees safety of location privacy in sensing layer authentication, and meets the requirement for safety of passive RFID. The method can enable the position of the tag to be hidden very well, namely, only the legal reader-writer can found that the tag exists nearby, and information of the tag is read; an illegal reader-writer can not found whether the tag exists nearby, and the purpose of hiding the position of the tag is achieved.

In an embodiment, a given entity obtains a location of at least one terrestrial transmit station of a Synchronized Wireless Transmission Network (SWTN), transmit station calibration information associated with the at least one terrestrial transmit station and a location of a user equipment (UE) that is in wireless communication range with the at least one terrestrial transmit station. The given entity estimates the time calibration value for the UE based on the obtained transmit station location, the determined transmit station calibration information and the determined location of the UE. Inanother embodiment, a server obtains time calibration values that are estimated for each UE in the population of UEs. The server aggregates the estimated time calibration values based on device modeland / or device operation mode, and calculates a representative time calibration value for UEs sharing the device model and / or device operation mode.

The invention discloses a system and a method for realizing data query by applying an account book of a blockchain, and relates to the technical field of block chains. By constructing a blockchain account book architecture, reliability, comprehensiveness, safety and accuracy of a novel family account book of the blockchain are further improved, so that the reform and development of the traditionalaccount book are promoted. Various big data algorithm models are integrated into the blockchain account book architecture to realize data calculation and processing, so that simple processing of various complex data is realized, the information latitude of big data is reduced, and data query is facilitated. Encryption calculation after data processing is achieved through an encryption unit, and safety performance of data is improved. A modular blockchain solution supporting platform based on Hyperleder Fabric is used, a blockchain data calculation, sharing and transmission platform is provided, and data processing, calculation and query are realized; and data packaging and processing are realized through a password signature module and a timestamp module.

The invention provides a millimeter wave pure analog beamforming user scheduling method. The method comprises the following steps: S1, enabling a channel of a k-th user side to adopt a Rician channelmodel hk; S2, enabling a base station end to adopt an equidistant linear array antenna, and calculating an antenna array response vector alpha(theta) with an departure angle theta; S3, supposing thatthe base station has K*1 original signal s to be sent to K clients, and calculating a shared amplitude weighted analog beam forming matrix FRF; S4, conducting service user selection through a heuristic user scheduling method; S5, designing a shared amplitude weight; and S6, designing a k-th column fk of the first-stage analog domain precoding matrix F. The user scheduling mode is applied to a pureanalog domain beam forming technology, interference among multiple users is greatly reduced in a multi-path sparse scene, and the inherent defect that a pure analog beam forming scheme is not suitable for multi-user communication is overcome; only the departure angle of the downlink path of each user is needed, the path coefficient of the channel is not needed, only little channel information isneeded, and the training overhead is greatly reduced.

A first electronic network node (110) is provided configured for a key exchange (KEX) protocol, the first network node is configured to obtain a shared polynomial (a) shared with a second network node, coefficients of the shared polynomial a being selected modulo a first modulus q, generate a private key polynomial (skI), coefficients of the private key polynomial being bounded in absolute value by a bound (s) generate a public key polynomial (pkI) by computing a polynomial product between the shared polynomial (a) and the private key polynomial (skI) modulo the first modulus (q) and scaling the coefficients of the polynomial product down to a second modulus (p).

The invention relates to the field of remote sensing big data, in particular to a multi-source remote sensing big data processing method and device based on a Chord ring. According to the multi-sourceremote sensing big data processing method and device, each data center is used as a node of a Chord ring, is provided with an external interface and is provided with a routing table for inquiring routing work. Each data center has certain independence, has an independent task submission site, and can access data of other data centers at the same time. And a plurality of data centers form a Chordring logically. The multi-source remote sensing big data processing method has good transverse expansion capability, can thoroughly solve the migration problem of the remote sensing data while realizing data sharing, and can realize calculation sharing of the remote sensing data.

The invention discloses a data distribution method based on SRIO global memory sharing, which adopts an SRIO exchange mode based on a star architecture and is mainly applied to systems such as a multi-unit server, a multi-computer module group, a multi-computing unit workstation, a multi-computing unit graphic workstation, a multi-resource data sharing platform and the like. Distributed calculation of big data calculation is mainly realized, a global memory is shared, the resource utilization rate and the calculation efficiency are improved, and the high efficiency and the real-time performance of data and image processing in the system are effectively improved.

The invention relates to the field of shared bicycle communication positioning, and provides a shared bicycle WiFi positioning method based on three-dimensional calibration. The method comprises the following steps: before a shared bicycle is put into operation, performing AP (Access Point) three-dimensional calibration and establishing an AP information database; after the shared bicycle is put into operation, acquiring AP positioning information in an area by a WiFi positioning module, and transferring the acquired AP positioning information to a processor; processing the AP positioning information by the processor and controlling a GPRS module to upload the processed information to a server; calculating the current position of the shared bicycle by the server according to the received information and the AP information database; and responding to a positioning request of a display client by the server, performing data screening and calculation according to the positioning request, and transmitting calculated position information to a positioning display client in real time. According to the shared bicycle WiFi positioning method based on the three-dimensional calibration provided by the invention, when the AP information database is established, only a database of AP label number coordinate information in the area is established, thus the workload is saved and the load of the server is reduced.

The invention provides a shared station intelligent distribution method. The method comprises the steps: receiving a preset shared station request transmitted by a user terminal; calculating the interestingness of the user to each shared station in the shared station knowledge graph; sending the interestingness to a user terminal so that the user terminal can display stations identified accordingto the interestingness and generate a station selection interface; receiving station selection information sent by the user terminal, wherein the station selection information comprises a station identifier and a predetermined time period; and allocating shared stations according to the station selection information, and sending an allocation result to the user terminal, so that the user terminaldisplays the allocation result. The invention solves the problem of lack of a reasonable and efficient shared station allocation method in the prior art, and provides the intelligent reservation method, the server, the equipment and the system which can enable a user to find and reserve a proper shared station more quickly, reduce the time cost of the user and improve the user experience. The system can be applied to the fields of incubator offices, office buildings implementing shared stations, enterprises and the like.

A key agreement method based on identity-unpaired wireless network cross-domain handover authentication. Reduce the computing cost of the user; in the stage of authenticating the user's identity, the home domain authentication server calculates the shared key with the user, which is consistent with the shared key generated by the user, and replaces the bilinearity in the calculation of the shared key by the home domain authentication server pair operation. The method improves the efficiency of handover authentication by means of no bilinear pairing operation between the user and the home domain authentication server. In the key negotiation phase, the session key negotiated between the user and the authentication server in the foreign region includes not only the temporary private key of both parties, but also their respective long-term private keys. The security of the key is guaranteed, effectively resisting the attack of temporary private key leakage.

The invention relates to the technical field of information security, is suitable for the financial field, and particularly relates to a container storage utilization rate monitoring method and device, computer equipment and a storage medium. The method comprises the steps of obtaining the number of containers currently running on a host machine, the total storage usage amount of a shared file system and the current storage usage amount of the shared file system; according to the number of the containers, the total storage usage amount of the shared file system and the current storage usage amount of the shared file system, judging whether the storage of the host machine meets an over-limit condition or not; if the host machine storage meets the over-limit condition, sending host machine storage exception information; and determining an abnormal container according to the host machine storage abnormal information. According to the method, the storage resource utilization rate of the shared file system is calculated through the cluster monitoring system, an alarm is given to the container exceeding the storage upper limit threshold value, the disk input and output influence caused by full-disk scanning is accurately and effectively reduced, the service efficiency is improved, and the user experience is further optimized.

The invention discloses a shared bicycle skeleton network extraction method, belongs to the technical field of computer application, and can perform backbone network extraction on a network composed of network nodes with spatial position features. The method comprises the following steps: constructing a shared bicycle network; and calculating the significance of all edges in the shared bicycle network, and keeping the edges with the significance greater than zero as the edges of the backbone network; and calculating the topological potential of all nodes in the shared bicycle network; performing spatial density clustering on all nodes in the shared bicycle network according to the geographic positions of the nodes, and acquiring a riding area cluster ; For each riding area cluster, performing descending sorting on the network nodes in the current riding area cluster according to the value of the topological potential, and selecting the front set number of nodes after descending sortingto form a backbone core node of the current riding area cluster; and combining the backbone core nodes of all the riding area clusters, and connecting the backbone core nodes by using the edges of the backbone network to form a skeleton network.

Some embodiments are directed to a computation device for performing a computation on at least a set of values. The values are stored in memory as a plurality of shares that define the value. An operation of the computation may be performed on a set of input values to obtain an output value. The output value may be defined by at least one shared share and at least one computed share. The at least one shared share may also define a further value, e.g., an output of a previously performed computation or an output of a further operation performed in parallel with the operation. The at least one computed share is computed from the at least one shared share and shares of the set of input values. A fault in the shared share affects the further value but a fault in the computed share, complicating share reduction attacks.

A first electronic network node (110) is provided configured for goo a key exchange (KEX) protocol, the first network node is configured to—obtain a shared matrix (A) shared with a second network node, entries in the shared matrix A being selected modulo a first modulus q, generate a private key matrix (SI), entries in the private key matrix being bounded in absolute value by a bound (s) generate a public key matrix (PI) by computing a matrix product between the shared matrix (A) and the private key matrix (SI) modulo the first modulus (q) and scaling the entries in the matrix product down to a second modulus (p).

The embodiment of the invention provides a cross-type data calculation and sharing method, a system, a device and a calculation and sharing method, comprising: extracting a plurality of first data anda plurality of second data from a data acquisition platform, normalizing each of the first data types to obtain a plurality of normalized first data; Defining an expression data point table includingone or more preset expressions; Based on the plurality of normalized first data, the plurality of second data, and the plurality of time data, acquiring a plurality of shared data by calculating oneor more preset expressions in the expression data point table. The embodiment of the invention can plan a unified data minimum unit, and can improve the synchronization, service applicability, effectiveness and reliability of the data. Through the preset expression to calculate the shared data, it can process the data based on the business requirements and reduce the load of the system.