2053results about How to "Improve retrieval efficiency" patented technology

The invention discloses a system and method for processing an unmanned aerial vehicle polling image. The system comprises an unmanned aerial vehicle polling image processing system body which comprises a human-computer interaction module. After the human-computer interaction module obtains a user instruction, a main control panel analyzes the user instruction and transmits the analyzed instruction to a data receiving and transmitting controller, the data receiving and transmitting controller sends a parameter configuration instruction to corresponding peripheral equipment according to the instruction and transmits an instruction execution result back to the main control panel, and the main control panel processes the execution result of the parameter configuration instruction and then sends processed information to the human-computer interaction module so that the information can be displayed to a user. The main control panel is respectively communicated with a secondary controller, a power supply module, a wireless communication module, a data storage module, a locating module, a distance measuring meter and a height gauge. The system and the method improve the automation degree and the informationization degree of polling image processing, improve the efficiency of searching for and processing the polling result, and lower the cost of processing the polling result.

The invention discloses an intelligent inspection system and an inspection method for an electric transmission line by an unmanned aerial vehicle. The intelligent inspection system comprises an inspection mission planning system, a dispatching system, a monitoring system, an inspection result processing platform and mobile branch stations, wherein the inspection mission planning system communicates with the inspection result processing platform and the dispatching system respectively; the inspection result processing platform and the dispatching system communicates with the monitoring system respectively; the monitoring system is connected and communicate with the mobile branch stations. The inspection method has the benefits that factors of the inspection unmanned aerial vehicle, inspection equipment, an inspector, and the like accessing the dispatching platform through a dispatching terminal can be dispatched effectively to realize equipped configuration of unmanned aerial vehicle inspection resource; the usage rates of personnel and equipment can be improved; the no-load rate and vacancy rate of the inspection equipment are reduced; through centralized monitoring of condition information inspected by the unmanned aerial vehicle, unmanned aerial vehicle inspection dispatching personnel can master unmanned aerial vehicle inspection in the large effectively; the service life of the unmanned aerial vehicle is prolonged.

This invention discloses a flash file system management method, which comprises the following steps: to divide the flash memory into FAT area and data memory area; to establish the space mapping form and to write the data block of each file into the block; to write the new file ID, block number, file researching number into the record; then to orderly write each data block into the spare block and to write each data block number into relative positions of the space mapping form; only to operate the file data memory area when updating file data; to identify the place of the data to be read when reading the data for searching the data block.

Provided are a system and a method for intelligent library management. The system is characterized in that the intelligent library management system comprises a computer management system, a network data communication server, an intelligent retrieval terminal, an RFID reader-writer, RFID electronic labels, a two-dimensional code printer, book two-dimensional code labels, an RFID entrance guard safety system, a book information database server, a mobile communication network, and client application software. The system and the method for intelligent library management realize accurate monitoring of books in any positions of a stack room, improve book retrieval efficiency, and monitor books in the stack room in real time. Readers borrow books, and return books in a self-service manner, and make the books in order on shelves. The system and the method provide convenience for readers and book managers to rapidly and accurately find books and positions thereof, thereby preventing false shelf of books and shelf disorder, and simplifying operation of the book managers.

First, the invention sets up output port grouping rule and filtering tapping rule. Then, data filtering tapping process is carried out. IP data packets are picked up from original data packets received from network based on protocol analysis. Based on filtering tapping rule, data relevant to following processes are partitioned to group of each output port. Hash operation is carried out for address of data packet and port information in partitioned each group. Modular operation is carried our between the said Hash value and total number of port. The result is number of output port for the corresponding data packet in the group the data packet belongs to. Under high-speed backbone network, the invention meets need for clustering process and forwarding at high speed for mass data stream.

The invention discloses an image search method based on target area matching, which comprises the following steps: a, selecting an image to be searched, and utilizing an edge detection algorithm to automatically partition the image to be searched; b, judging the partitioning effect, confirming a searched target area if a user satisfies the target area which is automatically partitioned, and selecting a target area that the user is interested in as a searched target from images that are not partitioned by self if the user does not satisfy the target area which is automatically partitioned; c, extracting characteristic values of the target area; d, taking the target area confirmed by the user as a template, using a template matching mode to carrying out template matching and similarity calculation in an image library, taking the searched image as a target when the similarity reaches a preset threshold value, or carrying out the template matching and the similarity calculation continuously until the image is covered completely; and e, sequentially displaying the searched result according to the similarity after the images in a database are searched according to requirements.

The invention provides a method for retrieving medical information, comprising the following steps of: obtaining matched keywords from a preset keyword sample bank according to input information committed by users; retrieving in a medical information database according to the keywords; and returning retrieving results to the users. With the method, the retrieved information can meet the real demands of the users to the maximum limit, that is to say, the validity of information retrieval is ensured.

The invention discloses a ciphertext cloud-storage oriented document retrieval method and a ciphertext cloud-storage oriented document retrieval system, belonging to the technical field of information security. The method comprises the following steps: 1) a client generates an index key for a user by a master key imported by the user, and encrypts the index key by the master key, then stores the index key into a server; 2) after receiving the attribute metainformation of a document to be inquired input by a certain user, the client acquires a ciphertext of the index key from the server, then decrypts the ciphertext so as to obtain a decrypted index key; 3) the client encrypts the attribute metainformation of the document to be inquired by the decrypted index key, then sends the encrypted attribute metainformation to the server; and 4) the server carries out ciphertext retrieval on the index table according to the attribute metainformation, returning the retrieval records meeting the conditions to the client so as to obtain documents corresponding to the attribute metainformation. The system comprises a server and a plurality of clients, and the clients are respectively connected with the server through the Internet. The method and the system disclosed in the invention have the advantages that the security and retrieval efficiency of the ciphertext retrieval system are improved, and the expansibility is high.

The invention discloses a multidimensional model based oil and gas resource data key system implementation method and system. According to the multidimensional model based oil and gas resource data key system implementation system, sorting, cleaning, classification and systematization are performed on source data of oil and gas resources, cleaning, transformation and integration are performed based on an ETL (Extract-Transform-Load) framework, the source data are loaded into a data warehouse or a market to form a core database, and the data processing efficiency is improved and data mining is performed through establishment of a multidimensional model. According to the multidimensional model based oil and gas resource data key system implementation method, different latitudes of the data can be flexibly combined, the custom analysis on core data such as the oil price, the yield, reserves, the quantity of the resources, import and export and the mining right is achieved, integrated management and visual display of statements, graphics, texts and maps are supported, interfaces and function modules of the system are based on a configuration scheme, and accordingly the configuration is flexible, the extension can be performed, the use is easy, the display form of the data is enriched, and the retrieval efficiency is improved.

The invention discloses a intelligent video monitor search method, including the steps: collecting the video frame, extracting the moving target information flow, storing the corresponding moving target information flow of the video frame; searching the stored moving target information flow, judging the detected object whether matching with the defined affair rule, if so, determining the corresponding occurrence of the affair rule. Furthermore, the invention includes the step of inquiring the stored affair and the step of playing back the corresponding video frame based on the affair selection. The invention discloses an intelligent video monitor affair search system for executing the method. Due to the target information data flow smaller than the video data flow, hence the invention has faster searching speed, higher searching effectiveness, higher data transmission, lower cost compared with the prior scheme.

The invention discloses an extendible repeated data detection method, belongs to the technical field of computer storage, and solves the problem that in the existing repeated data detecting method, the storage capacity cannot be efficiently extended, so as to meet the requirements of the current situation that the storage demand increases and repeatedly deleted systems need upgrading and updating. The extendible repeated data detection method comprises the following steps: partitioning processing, fingerprint extraction, retrieving of Bloom filters, retrieving of fingerprint subset table, judgment of unfulfilled Bloom filters, new fingerprint marking, judgment of Bloom filter quantity, and extending of Bloom filter array. In the invention, the Bloom filter array is used to retrieve the fingerprint data, so as to quickly locate the retrieval range, improve the retrieval efficiency and realize detection on the repeated data; the extendible repeated data detection method is high in expansibility and querying performance, can support element location and control the misjudgment rate, and further can effectively reduce the memory overhead. The Bloom filter array is composed of a series of isomorphic Bloom filters, so that once the misjudgment rate epsilon' and the pre-established retrieving fingerprint total quantity nmax are provided, the quantity of the required Bloom filters and the number of the hush functions can be worked out.

The invention discloses an image retrieval method and apparatus, an image information acquisition method and apparatus, an image identification method and apparatus, an image identification system, a method and apparatus used for calculating an image feature value, and an electronic device. The image retrieval method comprises the steps of extracting a local feature of a to-be-retrieved image; calculating a feature value of the local feature by adopting a pre-trained depth autoencoder network model; performing matching on the feature value and feature values of registered images in an image retrieval database; and selecting a registered image, which meets a preset condition, as a retrieval result of the to-be-retrieved image according to a matching result. By adopting the method, a depth autoencoder network can effectively keep distance information and a distinguishing capability between the feature values in a process of performing compressed representation on the local feature, so that the image retrieval precision can be effectively improved, the workload of rearrangement and filtration can be reduced, and the retrieval efficiency can be enhanced.

The invention relates to a quick multi-keyword semantic sorting search method for protecting data privacy in cloud computing. A domain weighted scoring concept is introduced in document scoring, and keywords in different domains such as a title, an abstract and the like are endowed with different weights to be distinguished; a retrieval keyword is subjected to semantic expansion, semantic similarity is calculated, a three-factor sorting method is designed by combining the semantic similarity, the domain weighted scoring and a correlation score, and a cloud server can perform accurate sorting on search results and return a sorting result to a search user; and for the defect of low query efficiency of a searchable encryption scheme, a vector block segmentation marking matching algorithm is designed, and a document vector created by a vector space model is subjected to block segmentation to generate a marking vector with a relatively small dimension number. According to the method, the query efficiency can be improved, the index creation time can be shortened, and semantic ciphertext keyword search is realized.

The invention discloses a generation method for a structured query sentence used for the precise retrieval of a natural language. The generation method comprises the following steps: obtaining a natural language query sentence; carrying out word segmentation on the natural language query sentence by a preset dictionary and a first rule to obtain a word segmentation scheme; generating an analytic tree on the word segmentation scheme by a preset second rule; according to the root node of the analytic tree, generating a local query parameter, and substituting the global query parameter of a first layer of subnodes of the analytic tree, and obtaining the global query parameter of the root node of the analytic tree; according to the global query parameter of the root node of the analytic tree, generating the structured query sentence. The invention also provides a generation system for the structured query sentence used for the precise retrieval of the natural language. According to the generation method and the generation system, the natural language query sentence can be automatically converted into the structured query sentence.

The invention discloses a knowledge map based resource retrieval method applied to help learners to quickly position study resources as needed and guide the learners to learn. The method includes the following steps: 1), organizing knowledge points; 2), creating a knowledge map; 3) mapping resource entities to the knowledge map; 4), retrieving and displaying resources. The knowledge map based resource retrieval method is quick to retrieve and accurate in positioning.

The invention relates to a target retrieval method based on a group of randomized visual vocabularies and context semantic information. The target retrieval method includes the following steps of clustering local features of a training image library by an exact Euclidean locality sensitive hash function to obtain a group of dynamically scalable randomized visual vocabularies; selecting an inquired image, bordering an target area with a rectangular frame, extracting SIFT (scale invariant feature transform) features of the inquired image and an image database, and subjecting the SIFT features to S<2>LSH (exact Euclidean locality sensitive hashing) mapping to realize the matching between feature points and the visual vocabularies; utilizing the inquired target area and definition of peripheral vision units to calculate a retrieval score of each visual vocabulary in the inquired image and construct an target model with target context semantic information on the basis of a linguistic model; storing a feature vector of the image library to be an index document, and measuring similarity of a linguistic model of the target and a linguistic model of any image in the image library by introducing a K-L divergence to the index document and obtaining a retrieval result.