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2390results about How to "Reduce storage costs" patented technology

System and method for secure and reliable multi-cloud data replication

A multi-cloud data replication method includes providing a data replication cluster comprising at least a first host node and at least a first online storage cloud. The first host node is connected to the first online storage cloud via a network and comprises a server, a cloud array application and a local cache. The local cache comprises a buffer and a first storage volume comprising data cached in one or more buffer blocks of the local cache's buffer. Next, requesting authorization to perform cache flush of the cached first storage volume data to the first online storage cloud. Upon receiving approval of the authorization, encrypting the cached first storage volume data in each of the one or more buffer blocks with a data private key. Next, assigning metadata comprising at lest a unique identifier to each of the one or more buffer blocks and then encrypting the metadata with a metadata private key. Next, transmitting the one or more buffer blocks with the encrypted first storage volume data to the first online cloud storage. Next, creating a sequence of updates of the metadata, encrypting the sequence with the metadata private key and then transmitting the sequence of metadata updates to the first online storage cloud.
Owner:EMC IP HLDG CO LLC

System and method for secure and reliable multi-cloud data replication

A multi-cloud data replication method includes providing a data replication cluster comprising at least a first host node and at least a first online storage cloud. The first host node is connected to the first online storage cloud via a network and comprises a server, a cloud array application and a local cache. The local cache comprises a buffer and a first storage volume comprising data cached in one or more buffer blocks of the local cache's buffer. Next, requesting authorization to perform cache flush of the cached first storage volume data to the first online storage cloud. Upon receiving approval of the authorization, encrypting the cached first storage volume data in each of the one or more buffer blocks with a data private key. Next, assigning metadata comprising at lest a unique identifier to each of the one or more buffer blocks and then encrypting the metadata with a metadata private key. Next, transmitting the one or more buffer blocks with the encrypted first storage volume data to the first online cloud storage. Next, creating a sequence of updates of the metadata, encrypting the sequence with the metadata private key and then transmitting the sequence of metadata updates to the first online storage cloud.
Owner:EMC IP HLDG CO LLC

Distributed file storage and transmission system

InactiveUS20080126357A1Facilitates reliable communicationFacilitates reliable accessDigital data information retrievalSpecial data processing applicationsTransmission systemStorage cell
A distributed file storage and communication system stores redundant copies of segments of a file on multiple remote storage units. The file to be stored is partitioned into multiple fragments, and each of the fragments is redundantly stored on multiple remote storage units. A file tracker is maintained that identifies where each fragment is stored. Providing the file tracker to another user allows the other user to access the file. To receive and / or retrieve the file, the system retrieves each fragment by attempting to download the fragment from one of the remote storage units identified in the file tracker for the fragment; if the selected remote storage unit is not available, another storage unit is selected for attempting the download. The selection of storage units to receive each fragment may be random or targeted, or a combination of both. Preferably, each fragment is encrypted, and the intended recipient is provided a key to decrypt the fragments.
Owner:WAMBO

Intelligent video retrieval system and method based on target characteristic and alarm behavior

An intelligent video retrieval system and method based on target characteristic and alarm behavior relate to an intelligent video retrieval system and method. The system comprises a trajectory tracking module, a feature extraction module, a feature storage module, a search engine module and a retrieval terminal, wherein the trajectory tracking module extracts the motion trajectory and alarm behavior of a target input in the video; the feature extraction module extracts the features of the input image such as color, texture, shape and category; the feature storage module stores the motion trajectory, the alarm behavior, the target characteristic and the related information of the video in a feature database; the search engine module analyzes the retrieval conditions input by a user, performs video retrieval based on characteristic and behavior in the database and returns the video clip satisfying the conditions; and the retrieval terminal, namely client software receives the retrieval conditions input by the user and displays the retrieval result after retrieval. Compared with the prior art, by using the retrieval system, the user can customize retrieval conditions more accurately, video retrieval based on target characteristic and alarm behavior can be performed; and the retrieval result of the features generated by real-time analysis can be fast obtained.
Owner:WISCOM SYSTEM CO LTD

Face identification method and apparatus based on sequencing neural network model

The invention discloses a face identification method and apparatus based on a sequencing neural network model. The method comprises the following steps: performing preprocessing operation on input face images, and correcting angles and expressions of the face images; extracting features of already corrected face images / videos by use of a neural network comprising sequencing operation; and according to feature expression of the face images, calculating similarity between image pairs, and accordingly, obtaining identifies of specific objects in the input face images. According to the invention, a sequencing neural network structure is brought forward for solving the problems of too many parameters and too large calculation cost of a conventional neural network based face identification model in face identification problems, through sequencing expression between different features, network parameters are effectively reduced, and the calculation time is saved; and a training method based on comparison loss and triple loss is brought forward for solving the problem of a quite small number of training data.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI

Electronic evidence preservation system based on block chain subliminal channel technology

ActiveCN107682308AAchieving processing powerAchieving covert storageDigital data protectionTransmissionNetwork terminationSubliminal channel
The invention discloses an electronic evidence preservation system based on a block chain subliminal channel technology, which comprises a client, a server, an auditing terminal and a network terminal, and is characterized in that the client is used for performing off-line acquisition and processing, online management and evidence collection on a user electronic evidence; the server generates an existence proof for the evidence and performs hosting and recovery on the chain evidence according to a user address; the auditing terminal is used for auditing the chain evidence, generating a corresponding transaction on a block chain and constructing an auditing proof so as to main the integrity, the timeliness and the non-repudiation of an auditing result; and the network terminal is used for performing state synchronization and real-time evidence collection on the user evidence on the chain. The system can dig a cryptographic basis of the subliminal channel preserved electronic evidence and the auditing result thereof in a mature block chain system, thereby realizing safe processing and hidden preservation for the electronic evidence, thus improving the safety and timeliness of electronic evidence preservation, and effectively reducing the preservation cost.
Owner:HANGZHOU INNOVATION RES INST OF BEIJING UNIV OF AERONAUTICS & ASTRONAUTICS

Urban-road traffic forecasting method based on multi-source data combination

The invention provides an urban-road traffic forecasting method based on multi-source data combination. The method comprises the steps of firstly, extracting permanent residents' travel OD according to cell-phone signaling data, and distributing the travel OD to an urban road network to obtain distributional traffic flows of each road section; secondly, according to a bayonet record, obtaining a total observed traffic flow and an observed traffic flow of frequently-used cars in a road section corresponding to the bayonet; thirdly, selecting a road section with observed traffic flows within the region, and building an equation of linear regression which represents the time-varying correlation between the distributional traffic flows and the observed traffic flows in the road sections, according to the distributional traffic flows and the observed traffic flow data; fourthly, according to the equation of linear regression and a proportion of the frequently-used cars within the region, constituting a dynamic forecasting model of traffic flows of the road sections within the region; fifthly, as for the road sections without observed traffic flows in the region, inputting the distributional traffic flows of the road sections into the dynamic forecasting model to forecast the time-varying traffic flows of the road sections. The urban-road traffic forecasting method based on multi-source data combination has the advantages of providing convenience for obtaining information and conducting traffic forecasting work in multiple cities, and being low in costs and easy to operate.
Owner:CENT SOUTH UNIV

Failure diagnosis system, failure diagnosis device and failure diagnosis program

In the failure diagnosis system of the present invention, the maintenance case information including data ambiguity and a partially deficient portion is utilized even in the case where maintenance case information having a high similarity is not sufficiently provided. The failure diagnosis system is provided with: a failure diagnosis rule creation unit 31 which, by utilizing maintenance case information accumulated in the past, creates a failure diagnosis rule used for listing up candidates of maintenance parts required for recovering the equipment from a failure phenomenon; a failure diagnosis execution unit 32 which, upon occurrence of a failure, outputs the candidates of maintenance parts required for recovering from the failure phenomenon to a maintenance work assist terminal with reference to the failure diagnosis rule; and a failure diagnosis rule updating unit 33 for updating the failure diagnosis rule, and the failure diagnosis rule creation unit 31 has a factor-information link creation unit, which creates links among pieces of factor information composed of pieces of information relating to the failure phenomenon, information relating to the subject component, and information relating to the corresponding treatment in the maintenance case information accumulated in the past.
Owner:HITACHI LTD
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