61results about How to "Optimize storage structure" patented technology

The invention discloses a method and a device for managing metadata. The method comprises the following steps: allocating the metadata into a plurality of assemblages; saving the plurality of assemblages of the metadata in a mode of full copy at each node of a plurality of nodes; and according to a request of a user, accessing partial or total assemblages which are saved in the nodes. According to the invention, the metadata are allocated into the plurality of assemblages and are saved in the nodes and then service is provided for the user, so that the resource of the metadata can be integrated and the storage structure of the metadata is optimized. Therefore, the efficiency of updating the nodes of the metadata is increased. In addition, as the mode of full copy is adopted, the data loss is reduced and the resource utilization rate of distributed data storage systems is increased.

The invention discloses a mobile Web service recommendation method and a collaborative recommendation system based on user behavior analysis. The method comprises the steps of first constructing a Web service prediction model, and searching two optimal associated users who are the most similar to the a target user in long-term habit and short-term mood through intelligent terminal side user browsing data and wearable device side user physiological data. Therefore, data of the two optimal associated users are used to enrich a sample library of the target user prediction model, so as to achieve the introduction of a sample enrichment mechanism with the minimized noise. A Web resource storage mechanism based on a feature vector is designed, and according to a model prediction result, accurate recommendation of the mobile Web service is realized. According to the scheme of the invention, through the interactive cooperation between an intelligent terminal and a wearable device, application reconfiguration is performed on the wearable device side physiological data, and a user behavior is analyzed from multiple angles of view and multiple dimensions, so that accurate prediction and recommendation of services are realized, thereby improving user experience.

The invention provides a warehouse storage location allocation method based on big data. The method comprises the steps that a big data platform predicts the warehousing order quantity in a predetermined period according to historical order information; the big data platform divides the warehouse space into different types of storage areas according to the predicted warehousing order quantity, andplans the shelf number and the placement position of each storage area; an optimization platform groups the warehoused goods according to the association degree between the warehoused goods; and theoptimization platform performs shelf storage location allocation on the warehoused goods in the corresponding storage areas according to the strategy of centralized placement of the goods in the samegroup. According to the invention, the big data platform is adopted to predict the warehousing order quantity in the predetermined period so as to carry out warehouse storage location allocation, at least the problem of unreasonable warehouse storage location allocation in the related technology is solved, and thus the order picking efficiency and the warehouse utilization rate are improved.

The invention discloses a quick multi-service matching and distributing method. The method comprises the steps that: (1), various service rules are configured on network flow analysis equipment; the network flow analysis equipment extracts quintuple information from access flow; a service rule matched with various services in the access flow is searched from a rule table according to the quintuple information; and a virtual local area network identifier VLAN ID is calculated according to the service rule matched with the various services; (2), the network flow analysis equipment carries the VLAN ID on each service message in the access flow, and then, forwards each service message to a second-level switch; and (3), the second-level switch copies and forwards the service message to one or more service rear-end servers according to the VLAN ID carried in the received service message, wherein a corresponding copy port combination is set for each VLAN ID on the second-level switch. By means of the quick multi-service matching and distributing method disclosed by the invention, the overall throughput of the system is greatly improved.

The invention provides a timing sequence netlist management method and device.The method comprises the steps of obtaining a timing sequence netlist according to a design document, searching for timing a sequence model of each set of equipment in the timing sequence netlist, and establishing a sub timing sequence netlist for each set of equipment, wherein each sub timing sequence netlist comprises all nodes of the corresponding equipment and connection relations of each node with other nodes, and each node comprises pins of the corresponding equipment; obtaining an input node of each sub timing sequence netlist and path time delay information of a forward path of the input node, adding the path time delay information of the forward path to a backward patch of the input node, and deleting the input node and the forward path of the input node in the corresponding sub timing sequence netlist; generating a final timing sequence netlist of the design document according to the port mapping relation and by means of the corresponding sub timing sequence netlist from which the input node and the forward path of the input node are deleted.By means of the timing sequence netlist optimization method based on static timing sequence analysis, the storage structure of the timing sequence paths in the timing sequence netlist is optimized, memory usage is reduced, accuracy of the analysis result is guaranteed, and EDA software operating efficiency is improved.

The present invention discloses a PDBSCAN (Parallel Density-Based Spatial Clustering of Applications with Noise) algorithm-based lightning approach trend prediction method. According to the defects of a traditional DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm, a VDBSCAN (Variable Density-Based Spatial Clustering of Applications with Noise) algorithm and an IDBSCAN algorithm are compounded from the two aspects of parameter assignment selection and memory structure optimization; a PDBSCAN algorithm put forwards after the compounding of the two algorithms is used to carry out equal-time interval clustering on lightning data; and linear fitting is carried out on the space centers of largest lightning clusters under equal time intervals, so that the space coordinates of a lightning occurrence region with the largest lightning density at a next time point are obtained. According to the algorithm of the invention, a condition that density changeS in the lightning clusters are monotonous is considered, a condition that the DBSCAN algorithm easily makes mistakes under a density changing condition can be eliminated, and parameter selection of various kinds of possible spatial distribution patterns of lightning is improved; and the storage structure of the algorithm is optimized, and computational efficiency is improved.

The invention relates to a knowledge map organization inquiry method based on a hybrid database, which comprises the following steps: acquiring a triple set in a preset data set; The entity triple setand the relation triple set are distinguished from the triple set; Storing the triple set of entities on Neo4j to obtain the knowledge base with entities; Constructing the index for the knowledge base with entities to obtain the knowledge base with indexes and entities; Storing the relational triple set on Neo4j, obtaining the knowledge base with index, entity and relation; storing the entity ambiguity information on MySQL and constructing the entity ambiguity vocabulary; Storing the constructed entity ambiguity thesaurus in the knowledge base with indexes, entities and relationships, and obtaining the complete knowledge base. The invention combines the respective advantages of a relational database and a graph database, and proposes a knowledge map organization method based on a hybrid database, which is suitable for a general large-scale open domain knowledge map, and improves the query efficiency of the knowledge map while optimizing the storage structure of the knowledge map.

A dish assembly includes a pair of folding panels having a preset angular relationship, the panels also including plate holding unit structures that are linearly offset along the rising extent of the structure, for greater single object support stability. The panels are hinged at one or more points more closely adjacent lateral support structure on adjacent the plate holding unit structure openings. The panels fold for flat storage, or open to form a stable angled structure with the angular degree of open deployment stabilized by any method, including a limiting hinge, a guide base, or other structure.

A grain storage structure including a circular upstanding support wall with an upstanding support tower being centrally positioned within the support wall. A plurality of curved and spaced-apart first roof trusses have their lower ends secured to the upper end of the support wall and have their upper ends secured to the upper end of the support tower. A plurality of curved and spaced-apart second roof trusses having their lower ends secured to the upper end of the support wall between adjacent first roof trusses. The upper ends of the second roof trusses are connected to the first roof trusses below the upper ends thereof. A second embodiment of the storage structure is disclosed which has an oblong shape when viewed in a top view.

The invention discloses a multi-mode matching algorithm and a multi-mode matching system based on encoding association. The system comprises a keyword group input module for acquiring a matching keyword set, a Goto function generation module for generating an auxiliary structure Goto function, a FailedJump function generation module for generating an auxiliary structure FailedJump function, and a matching execution module for reading a search object and performing multi-keyword matching. The algorithm is characterized in that by character splitting, a space storage structure of a Wang algorithm in a Unicode and Chinese semantic environment is optimized; by encoding association, staggered matching of the Wang algorithm after encoding conversion is performed is eliminated, and the maximum skipping value of the Wang algorithm is increased; and therefore, the running speed of the Wang algorithm in the current coding environment is quickened. The algorithm can be widely applied to computer products for key information scanning and positioning, keyword matching and checking for various types of electronic documents and the like in which Unicode is used as an encoding mode.

The invention discloses a method for optimizing an HDFS storage structure. The method includes the first step of performing fingerprint calculation on data blocks divided by data files respectively; the second step of using a Hash function to complete fingerprint matching, and if the same value occurs, determining that the block repeats; the third step of causing the repeated blocks to store corresponding indexes, and causing new data blocks to perform fingerprint storage and update processes; the fourth step of updating metadata information of the files; the fifth step of calculating a Hash value through a CubeHash function, and introducing a keyword extraction strategy, feature vector weight calculation and cosine coefficient method to perform data sameness and similarity judgments; andthe sixth step of deleting repeated data according to labels. The method for optimizing the HDFS storage structure is reasonable in design, label deduplication is achieved, and the HDFS storage structure is optimized.

The invention discloses a cloud document encryption method and device, a cloud document decryption method and device, and a processing system. The cloud document encryption method comprises the steps of encrypting a document body by selecting a corresponding document encryption key based on preset document permission information; encrypting the document encryption key by respectively adopting a product protection key and a mechanism protection key so as to generate a product document encryption key and a mechanism document encryption key, and storing the encryption keys in a document head of a document; calculating based on information stored in the document head to obtain a first Hash value, and storing the first Hash value into the encrypted document body, wherein the document head and the encrypted document body compose an encrypted document, and the information of the document head comprises the product document encryption key, the mechanism document encryption key and the document permission information; and transmitting the encrypted document to a server. The cloud document encryption method realizes scattered storage of document keys, can optimize the storage structure of the document and solves risks in centralized storage of the document keys.

The invention discloses a hot and cold data-oriented hierarchical storage system and method. The system comprises a data acquisition module, a hot and cold data judgment module and a hot and cold data migration module; the data acquisition module is used for acquiring a user data access request; the cold and hot data judgment module is used for analyzing the data access request, calculating the data temperature according to the analyzed temperature calculation related information, updating the temperature calculation related information and the data temperature, and re-packaging the temperature calculation related information and the data temperature to original data; and the cold and hot data migration module is used for monitoring the data in a hot library, migrating the hot data which does not conform to two set thresholds in the hot library into the cold storage, and dynamically adjusting the set thresholds according to the data access characteristics. According to the method, the temperature of the data is quantified on the basis of the characteristics of the data in three aspects of access time, access frequency and data relevance, and judgment of cold and hot data and separated storage of the cold and hot data are realized.

The invention provides a multi-element Gerber file analysis and drawing method for improving drawing precision.Aiming at the single problem of Gerber file element analysis and drawing by domestic software at present, the data information of Gerber file is analyzed, and the data is analyzed, extracted and sorted by regular expression, and the analytical drawing of ellipse, arc, sector, regular polygon and rounded rectangle is realized. As you save the Gerber file data, for the data analyzed and sorted out, the storage structure is optimized, the structure and dynamic array are used to solve theproblem of data storage, and the complex data structure such as linked list is abandoned, which ensures the complete extraction and preservation of Gerber file information, and improves the flexibility of image data processing and analysis. Aiming at the problem of data loss after Gerber file data coordinates are converted into pixel coordinates, a solution is proposed to improve the image rendering accuracy.

The invention belongs to the technical field of information security and particularly relates to an AES (Advanced Encryption Standard) password coprocessor and terminal equipment. The coprocessor comprise an operation control module, a key extension operation module, a data storage management module and an STTMRAM (Short Term Memory Random Access Memory) storage module, wherein the operation control module adopts an encryption and decryption data path multiplexing structure, and an encryption and decryption data path multiplexes an original key encryption unit, a byte replacement unit, a row shift unit and an output register unit, the key extension operation module is used for executing key extension and configuration operation according to AES algorithm provisions, a g transformation calculation structure adopts an adder multiplexing structure, and h transformation multiplexes byte replacement unit groups in g transformation, and the data storage management module is used for controlling and storing temporary data and final results in AES algorithm encryption and decryption processes into different partitions of the STTMRAM. The coprocessor is advantaged in that low-resource-overhead encryption hardware architectures such as time division multiplexing and STTMRAM memories are adopted, low-power-consumption AES password co-processing is achieved, computing resources are reduced, and computing efficiency is greatly improved.

The embodiment of the invention discloses an object storage platform, an object aggregation method and device and a server. The platform comprises an object storage gateway, a first storage pool and asecond storage pool, the first storage pool stores a first class of objects which are not aggregated to the second class of objects and an aggregation mapping relationship between the first class ofobjects aggregated to the second class of objects and the aggregated second class of objects, and the second storage pool stores the second class of objects aggregated by the first class of objects; and the object storage gateway periodically aggregates the first type of objects which are not aggregated to the second type of objects in the first storage pool to the second type of objects in the second storage pool, and replaces the first type of objects which are aggregated this time with an aggregation mapping relationship between the first type of objects and the aggregated second type of objects in the first storage pool. According to the technical scheme provided by the embodiment of the invention, the storage structure of the first type of objects is optimized, and the reading performance of the first type of objects which are not aggregated to the second type of objects is improved.

The invention discloses a graph storage optimization method and device, electronic equipment and a computer readable medium. The method comprises the following steps: obtaining user information to construct a knowledge graph which comprises nodes representing entities or concepts and edges representing relationships; setting a folding rule to select nodes in the knowledge graph as folding nodes; identifying a first-degree associated node of the folding node; establishing a one-degree edge expansion relationship between every two one-degree associated nodes of the same folding node; and optimizing the knowledge graph structure based on the first-degree edge expansion relationship and storing the knowledge graph structure. According to the method, the knowledge graph structure can be optimized by establishing the direct connection relation between the first-degree association nodes of the folding nodes, and the calculation amount of knowledge graph query is reduced.

The invention discloses a storage location allocation method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining a storage location set of each priority and a popularity attribute value range of an article corresponding to each priority; obtaining a popularity attribute value of the article to be allocated with the storage position, and determining a priority according to the popularity attribute value; obtaining the storage position set of the priority from the storage position set of each priority, and determining an available storage position set according to the residual volume of each storage position in the storage position set of the priority; and according to the distance between each available storage position and the walking reference point of the warehouse, distributing the storage positions for the articles. According to the implementation mode, the problem of storage position selection when the articles in the manual warehouse area are put on and put off the shelves can be reasonably and effectively solved, the storage structure of the articles is optimized, and the efficiency of putting on the shelves and putting off the shelves and putting out of the shelves is improved.

The invention discloses a system for unstructured data compressing based on big data and a method thereof. In the system, a data collecting module, a residual quantity buffer module, an ExUDP module, a data receiving module, a time series database, a data reduction module, a data analysis/mining interface sequentially perform unidirectional data transmission. The method comprises the steps of dataflow collection, data compression, data storage and data restoration. The data size of the unstructured data generated by big data collection is smaller, the bandwidth required for the transmission is lower, a space occupied by storage is smaller, application scenarios having harsh requirements for bandwidth and data speed can be met, and stable and reliable data collection, transmission and storage can be implemented.

The invention relates to the field of databases, in particular to a file merging method and device based on a cassandra database. The method mainly comprises the steps of receiving a data file generated by a database, and generating a merged file list of each disk; obtaining a merged file list of the corresponding disk by the merging process of each disk, and obtaining the size of a data file needing to be merged in the merged file list of each disk; starting; and in the parallel merging process of the database, when the sum of the sizes of the data files acquired by the merging process of each disk reaches a merging file threshold value, merging the data files needing to be merged in all the disks at one time by the parallel merging process. According to the method, the small files can bemerged in time under the condition that few merging layers and temporary files are used, the merging frequency is reduced, the occupied space of the files in the disk is reduced, the disk IO frequency and disk IO competition are reduced, the file merging performance is improved, and the read-write stability of the database is improved.

The invention discloses a compression method, analysis method and system for data of an OBJ file, and the method comprises the following steps: recognizing the OBJ file, and obtaining the data in theOBJ file; and carrying out system conversion on the default system category of the data to obtain compressed data, the compressed data having a converted system category, and the byte number of the converted system category being smaller than the byte number of the default system category. According to the technical scheme, the data transmission speed and the analysis speed of the OBJ file in the3D model can be increased, and the size of a 3D model resource packet can be effectively reduced.

A space divider suitably applicable to a screen, a partition, and the like. A division plate section (110) constitutes a screen unit (100) and divides a space. Nine Television receivers (131-1-131-9) are arranged removably in matrix on the front side of the division plate section (110). These television receivers (131-1-131-9) can be removed and used individually. When a television receiver is removed, a decoration board comes to be arranged at that position. Nine image sensors are fixed to the back side of the division plate section (110) at positions corresponding to the television receivers (131-1-131-9), for example. Imaging direction of each image sensor can be controlled automatically to the direction of line-of-sight of a user based on the user position (remote control position). An image by image signals obtained by each image sensor can be displayed on the television receiver (131-1-131-9) and the user can observe the opposite side of the division plate section (110) easily.