210results about How to "Reduce storage burden" patented technology

The present disclosure provides a novel approach for shifting or distributing various information (e.g., protocols, analysis methods, sample preparation data, sequencing data, etc.) to a cloud-based network. For example, the techniques relate to a cloud computing environment configured to receive this information from one or more individual sample preparation devices, sequencing devices, and/or computing systems. In turn, the cloud computing environment may generate information for use in the cloud computing environment and/or to provide the generated information to the devices to guide a genomic analysis workflow. Further, the cloud computing environment may be used to facilitate the sharing of sample preparation protocols for use with generic sample preparation cartridges and/or monitoring the popularity of the sample preparation protocols.

The invention discloses a small file storage method based on a Hadoop distributed file system. The method comprises steps of (1) additionally arranging two servers; (2) judging whether a file is a small file; (3) judging the request state of a large file; (4) judging the request state of the small file; (5) pre-processing a write request; (6) processing the write request; (7) detecting a cache; (8) pre-processing a read request; (9) processing a read request; (10) separating small files; (11) establishing a prefetching record; and (12) updating the prefetching record. Compared with existing methods for storing lots of small files, the small file storage method guarantees universality of the system, and also has advantages of having high reading and writing performance and efficiency, easing NameNode internal storage burden, and solving problems of high NameNode memory usage rate in storing lots of small files, and low storage access efficiency. The small file storage method can be used by the distributed file system for storing and managing lots of small files.

The invention provides a linear array SAR (synthetic aperture radar) imaging algorithm based on compressed sensing. Aiming at the characteristic that the scattering targets are sparse in an actual linear array SAR three-dimensional scene space, the method comprises the following steps of: only selecting less linear array antenna array elements to work in stead of adopting full array elements to receive an echoed signal; performing two-dimensional compression on the distance direction and along-track direction of the linear array SAR echoed data by utilizing a matched filtering technology; establishing a linear measuring matrix of a cross track direction signal and a sparse target scattering coefficient by adopting a compressed sensing technology; and finally, reconfiguring a cross track direction target through solving an optimization problem to realize sparse target imaging processing in a three-dimensional space. By using the method, the defect of the existing linear array SAR matched filtering imaging algorithm can be overcome, the linear array antenna array element quantity and system data acquiring and storage burden are greatly reduced, and the cross track direction imaging precision of the linear array SAR is improved.

The invention discloses a bidirectional identity authentication method based on dynamic password and biologic features under cloud environment, wherein a plurality of authentication methods and encryption technologies are comprehensively used, a one-time random key is obtained by receiving messages, the bidirectional authentication is realized, a user can login anywhere, finish registration process on net, and has no need to register information at designated location. According to the bidirectional identity authentication method based on dynamic password and biologic features under cloud environment, the one-time dynamic password is combined with the biological features, secret key is transmitted to GSM (Global System for Mobile Communication), and accordingly, security and reliability of authentication process are enhanced.

The invention relates to a method and a system for placing resources replications in a CDN-P2P(Content Distribution Network-Peer-to-Peer) network. In the method, firstly, a CDN server collects the information of resources downloaded by a client in a corresponding P2P network, the information of resources required to be downloaded by the client and the communication performance index of the clientby the CDN server; secondly, the CDN server calculates the satisfiable number of requests of resources according to the information of resources downloaded and the communication performance index by the CDN server and calculates the number of download requests of resources according to the information of resources required to be downloaded; thirdly, the CDN server calculates the scarcity coefficient according to the number of download requests of resources in the corresponding P2P network and the satisfiable number of requests of resources in the P2P network; and fourthly, the CDN server selects the resources in a hierarchy of the resources from greater to smaller scarcity coefficients in the P2P network by the CDN server and downloads the replications of selected resources to the CDN server. The invention can improve the utilization ratio of the storage space of the CDN server.

The invention discloses a water-turbine generator set virtual assembly modeling method based on a tree graph model, and is used for simulation of water-turbine generator set virtual assembly. According to the method, the hierarchical structure of a water-turbine generator set and a semantic relation among parts are represented by adopting a mode that an assembly tree and a semantic relational graph are independent; a hierarchical assembly tree is constructed according to a designed structure of the water-turbine generator set in the form of a binary tree, so that structure hierarchicalization for the parts is realized; and a semantic relational graph is constructed according to a semantic constraint relation of the parts in the form of the binary tree. The invention also discloses a semantic identification and calculation method for guiding user interaction based on the molding method and a final water-turbine generator set virtual assembly simulation system. Compared with the prior art, the method and the system have the advantages of lightweight of an assembly model, interaction intellectualization and high interaction efficiency and are applicable to implementation of simulation of virtual assembly of various types of water-turbine generator sets.

The invention relates to the technical field of cluster resource scheduling, and provides a method for scheduling containers in parallel in a cluster. The method comprises the steps of periodically obtaining cluster state information by a scheduler, wherein the cluster state information comprises resource information of all nodes in the cluster and description information of all containers in the cluster, the description information of the containers comprises container IDs of the containers, resource demands of the containers and deployment node IDs of the containers, and the resource information of the nodes comprises IDs of the nodes and resource quantities of the nodes; and according to the cluster state information, the container information of the containers scheduled by the scheduler and the container information of the containers scheduled by other schedulers, scheduling to-be-deployed containers to the nodes in the cluster, wherein the scheduled container information comprises container IDs and deployment node IDs of the scheduled containers. Through the scheme, the problem of resource conflicts in parallel scheduling is effectively reduced.

The invention discloses an account login method and device. The account login method and device are used for realizing the improvement of the threshold of account login so as to improve the security of accounts. The method includes the following steps of: receiving voice information inputted by users; extracting voice content and the voiceprint information of a user from the voice information; and logining an account according to the voice content and/or the voiceprint information. According to the technical scheme of the invention, the voice content and the voiceprint information in the voice information inputted by the user are extracted, and whether the account is allowed to be logined is judged based on the voice content and the voiceprint information, and therefore, text data and voiceprint information are both needed to be verified when the account is logined; due to the uniqueness and accuracy of the voiceprint information, the account login method and device provided by the technical scheme of the invention can improve the threshold of account login, and ensure the security of the account of the user.

The invention discloses an internetworking method for a wireless intelligent meter reading system. The internetworking method is applicable to field of wireless intelligent meter reading and provides internetworking, namely communication support for the wireless intelligent meter reading system. The internetworking method totally comprises the following three steps: internetworking, communication and maintenance. In the internetworking stage, the internetworking method adopts a dual-address management algorithm (subnet address and entire network address), a concentrator maintains an entire network address mapping table, besides, the concentrator and a collector all maintain a subnet address mapping table, and accordingly, the storage space of a communication module of the collector is greatly saved. In the communication stage, the entire network address can be resolved as the route of a node, and the uplink and downlink data communication is realized through the operation on the entire network address. In the maintenance stage, the concentrator adopts the naming mechanism for the network nodes, the nodes in the network can be periodically inquired, and the network is enabled to be stable and reliable.

The embodiment of the invention provides a processing method and a device of the carrier polymerization capability information of user equipment. The method comprises the following steps that: access network equipment sends a user equipment capability obtaining message to user equipment; the user equipment capability obtaining message contains the identification information of at least one frequency band; the access network equipment receives the carrier polymerization capability information of the user equipment, wherein the carrier polymerization capability information is sent according to the user equipment capability obtaining message and is related to at least one frequency band; and the access network equipment uses the carrier polymerization capability information to provide multi-carrier service for the user equipment. According to the embodiment of the invention, the expenditure of interface signaling can be saved, and the storage burden of the access network equipment can be reduced.

The invention discloses an outsourcing data deduplication cloud storage method supporting privacy and integrity protection. Firstly, client deduplication and security authentication label deduplication of a data file are realized, so that the communication overhead and the storage burden of a cloud server are greatly reduced; and secondly, by adopting the extractor technology, the ciphertext of the outsourcing storage data does not depend on an encipher and an encryption algorithm, but depends on the data, so that ciphertext data deduplication is realized, and the privacy of the data is ensured in the deduplication process and the integrity auditing process. And finally, the RS erasure code technology is adopted to improve the fault-tolerant capability of deduplication cloud storage; a cloud service provider is also supported to spontaneously and regularly delegate a third-party auditor to carry out batch public cloud auditing on the data stored in the cloud server so as to ensure theintegrity of the data; meanwhile, a data owner is also supported to initiate public cloud auditing on the integrity of the file anytime and anywhere, so that the privacy of the data can be always protected in auditing and deduplication processes. The method provided by the invention is effective in the aspect of deduplication and efficient in the aspect of integrity cloud auditing.

The invention discloses an image processing method and an electronic device. The image processing method comprises the steps of determining a target object from a current frame image in a process of acquiring an image in an image acquisition region; determining a first regional image of the target object in the current frame image; processing the first regional image to obtain a second regional image; and compounding the second regional image and the current frame image to obtain a composite frame image. The image processing method provided by the invention is used for solving the technical problem of relatively heavy burden of a processor of the electronic device in the image shooting and processing processes in the prior art; and the technical effect of lightening the burden of the processor of the electronic device in the image shooting and processing processes is realized.

The invention provides a cross-platform algorithm testing method and a system thereof. The method comprises steps: after a user logs on a testing client, if the testing authority is verified to be passed, the testing client obtaining a testing task corresponding to the user ID from a Web server, a test case and test data for the user to select; obtaining the test task selected by the user, as a target test task, the target test data and the target test platform corresponding to the target test task being obtained for any target test task, the target test instructions corresponding to the target test task being generated, and the target test data and the target test instructions being sent to the target test platform for testing; receiving the test results reported by each target test platform, and making statistical analysis on all the test results. The method and the system can support a plurality of platforms and a plurality of algorithms, and can dynamically expand and adapt to newrequirements. To a certain extent, it reduces the burden of operation and storage of the test platform, and is conducive to the sharing of resources among the test platforms.

The invention discloses an anonymous bidirectional authentication method in a mobile social network based on the single hash function and the false identity. The self characteristic attributes of users are subjected to hash through the function characteristic of the single hash function, the hash result and the identifiers of the users are encrypted and sent to a TTP through a public key. After the TTP authenticates the permission of the users, the hash results of different users are compared, and therefore the similarity of the attributes of the users is obtained. In the process, the TTP sends the respective identifiers to the matched users to help the user to establish an identical shared key, then the TTP encrypts the matched attribute set through the key negotiated by the users and sends the matched attribute set to the users participating in friend making. The access permission of the users is controlled through an identity authentication and key negotiation dual-authentication mechanism, and the calculating and storage loads of an intelligent user terminal are relieved through the strong calculating and storage capacity of the TTP.

The invention relates to a double-layer path planning method for overcoming limitations ofcalculation and storage capacity of a UAV (unmanned aerial vehicle). For overcoming limitations of the calculation and storage capacity of the UAV, the method comprises the following steps: firstly, an initial reference track isgenerated on the basis of existing map information and limitations of dynamic performance of the UAV; secondly, environmental information of theUAV and surrounding obstaclesis acquired by an airborne sensor, and whether obstacles pose a threat to the UAVis judged with a three-dimensional collision cone technology; thirdly, a local obstacle avoidance path is generated with a forward search method based on Markov process in case of the threat, and the UAV flies in accordance withthe local planned path, otherwise, theUAVcontinues to fly along the reference path; fourthly,the UAV continues to fly untilthe desired point of the reference track is reached after obstacle avoidance. The method has the advantages of high convergence speed, low data storage burden, high safety and the like, can be used by the UAV for avoiding obstacles safely and rapidly, and can also be popularized to autonomous obstacle avoidance of unmanned vehicles and the UAV.

The invention discloses a Web of Things micro energy self-collecting micro electro mechanical systems (MEMS) sensing pre-storage system. The Web of Things micro energy self-collecting MEMS sensing pre-storage system comprises a composite micro energy power module, a sensor module, a micro processor module and a wireless transmission module, wherein the micro processor module is used for coordinating working of a wireless sensor network (WSN) node, processing data sent by the sensor module and controlling working of the wireless transmission module; the wireless transmission module is used for data communication between the WSN node and other WSN nodes, the WSN node and a gateway, and the WSN node and cloud. By optimizing a plurality of main modules, power consumption of the whole system is reduced from multi-angle, meanwhile the composite micro energy power module which is capable of effectively supplying power for the whole system is further provided, and therefore long-term use of WSN node power supply is guaranteed, and working performance and stability of the WSN node is improved.

Statistical timing analysis methods for circuits are described which compensate for circuit elements having correlated timing delays with a high degree of computational efficiency. An extended canonical timing model is used to represent each delay element along a circuit path, wherein the model bears information regarding any correlations that each element has to any other elements in the circuit (and/or to any external global factors, e.g., global temperature variations over the circuit, etc.). The model can be represented in a vectorized format which allows enhancement of computational efficiency, wherein the coefficients of the vectors allow an objective measure of element correlation (and wherein the vectors can be “pruned” by dropping insignificant coefficients to further enhance computational efficiency). A decomposition procedure can be used to decompose correlated elements into uncorrelated elements to allow delays to me more easily propagated through the timing diagram representing the circuit. Finally, a bounded approximation for the output of the MAX operator is described which provides a safely conservative approximation regardless of the linearity of the MAX output.

The invention discloses a ship electronic chart data multi-platform shared service device and a construction method thereof. A server of the device is based on a Linux system and comprises a database for storing an electronic chart, an orthogonal-list-based electronic chart management module, an automatic electronic chart correction module, an information communication module and a data transmission module; and a display and information client is realized on the basis of a Windows system, a Vxworks system and the Linux system, and an electronic chart search module is embedded into the client. The method comprises the following steps of: configuring the server in the Linux system, establishing a display and information client system for different operating systems, inputting the search condition by using the electronic chart search module embedded into the client, searching the chart from the server and downloading to the client. The device is favorable for the centralized and unified management of electronic chart data, and a client system can quickly and accurately download and update the electronic chart data.

The invention discloses an indoor scene and object simultaneous recognition and modeling method, and the method comprises the steps: inputting an RGB-D image; carrying out the segmentation; extracting SIFT features and FPFH features; carrying out the fusion of the SIFT features and FPFH features; carrying out the object recognition; and carrying out the object modeling. The object modeling comprises the steps: calculating the posture relation among object parts, setting a threshold value, carrying out the fusion of two object parts and taking the two object parts after fusion as a node in a view image if the posture change is less than a threshold value, or else enabling the two object parts to remain in the view image, i.e., taking the two object parts as two nodes. Compared with the prior art, the method can achieve the online recognition and modeling of the object, proposes an improved view image method, reduces the redundant data, reduces the data storage burden, and improves the recognition efficiency.

The invention provides a method for processing a database affair, a client and a server. The method includes: allowing the server to receive a database access request for requesting target data and sent by the client; sending a first version of the target data to the client, wherein the first version is a version of the target data which is currently stored in the server, and the server only savesthe last submitted updated version of the target data; receiving an affair submitting request sent by the client who executes a first affair on the basis of the first version, wherein the affair submitting request includes a log for recording data operation of the first affair; modifying the version of the target data stored in the server currently according to the data operation of the first affair if the data operation of the first affair and the version of the target data stored in the server currently do not have data conflicts according to the log, and acquiring a submitted updated version of the target data. The method for processing the database affair can achieve an unlocked affair mechanism, and can lower the complexity of storage management of the database.

This invention provides a certification method and a system based on a general authority authentication frame including an entity certification center connected with the service entity and a database storing the service entity agreement information, in which, the method includes: A, the entity certification center negotiates with the service entity about the certification mode and a cipher algorithm to determine applying a mode of public key to mutually certificate, B, the entity certification center verifies the certificate of the service entity to get its public key, C, the center and the service entity certify each other by the public key of the opposite to generate a share cryptographic key.

The invention discloses a kNN (k-nearest neighbor) fault detection method for an online upgrading master sample model and relates to a fault detection method for a batch process. The kNN fault detection method for the online upgrading master sample model comprises the following steps of performing modeling and fault detection by utilizing the kNN fault detection method by taking data of a master sample space as a training set of modeling data, finding out k nearest neighbors of each sample from the master sample space, calculating the quadratic sum of distances of the k nearest neighbors on each sample, permuting the quadratic sums of the k nearest neighbors of all samples in sequence to determine a threshold value of fault detection; finding out k nearest neighbors of a sample x from the master sample space for the new to-be-detected sample x, calculating the quadratic sum of the distances of the k nearest neighbors of the sample x and comparing the quadratic sum of the distances of the k nearest neighbors of the sample x with the threshold value, judging that the sample x is normal if the quadratic sum of the distances of the k nearest neighbors of the sample x is smaller than the threshold value, otherwise, judging that the sample x is faulted. By the selection of the master sample model, data structures of all working conditions are optimized, and the accuracy of a fault detection model is improved.

The invention discloses an adjustable light filter type hyperspectral imager and method based on compressed sensing. An imaging device is provided with an electric translation platform. A calculationcontrol module adjusts an object distance and an image distance of the imaging device to realize automatic focusing, which solves a problem that a space compression ratio of a traditional compressed sensing hyperspectral imaging system is fixed and can not be adjusted. A beam splitter is used to divide a scene spectrum into two parts which are collected by two LCTFs with different spectrum segments via two different optical paths, and the problem that the LCTF has a single imaging spectrum segment range in a hyperspectral compressed sensing imaging field is solved. According to an input compression ratio, basic parameters of the optical paths are automatically calculated, and the optical paths are automatically adjusted under the coordination of an electric displacement platform. A compressed sensing theory is combined with the LCTF so as to solve the problem that a spatial resolution is limited by the detector in traditional LCTF hyperspectral imaging.

The invention provides a data security verification and updating method supporting a third-party administrator (TPA) in mobile cloud computing. The method adopts the technical scheme that based on the BLS short signature algorithm and the hash tree algorithm, a key is generated through the key generation algorithm in mobile cloud, and a signature is generated through the signature generation algorithm in mobile cloud, so that challenge information is created, verification information is generated, and data verification is finally carried out. The method provided by the invention has the advantages that a verification process can be outsourced, so that computing and storage burdens on a mobile terminal are reduced; no status information is saved during the verification process, and a cloud service provider only needs to construct corresponding verification data according to a challenge request sent by a verifier and returns the verification data; and the verification does not involve source file blocks, and a verification terminal operates file blocks which have been processed through mapping functions during the whole verification process, so that file information can be prevented from being disclosed to the TPA.