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89results about How to "Reduce search complexity" patented technology

PCI (physical cell identification) allocation method suitable for low-speed MR (mobile relay)

The invention relates to a PCI allocation method suitable for a low-speed MR, and belongs to the field of wireless communication. The method comprises the steps as follows: a PCI allocation detection list is configured and maintained at a macro base station terminal of each cell, and a state information list is configured and maintained at each MR terminal simultaneously; the MR determines an access cell B according to cell selection norm and performs signaling interaction with a macro base station of the target cell B, so that the cell switching is finished; the macro base station of the cell B performs matching search on PCI of the MR and a PCI allocation detection list managed by the macro base station of the cell B, and whether collision exists is detected; the MR performs PCI screening by utilizing the obtained allocation detection list managed by the macro base station of the cell B and the state information list, and performs priority ranking; M (M is equal to 1) PCIs with highest priority ranking are selected to be reported to the macro base station of the cell B; the PCIs are reallocated for the MR by the macro base station of the cell B according to the PCIs reported by the MR; and the MR and the macro base station of the cell B perform information updating correspondingly. With the adoption of the PCI allocation method suitable for the low-speed MR, the problems of PCI collision and confusion caused when the MR moves in multiple cells at a lower speed can be effectively solved, and the replacement times of the PCIs are reduced.
Owner:TSINGHUA UNIV

Millimeter wave system fast channel estimation method

The present invention provides a millimeter wave system fast channel estimation method, belonging to the technical field of wireless communication systems. The method comprises a step of carrying out interval division on the space range covered by communication beams according to a communication beam number Q, and using a binary system to express an interval code, a step of designing a training beam such that the main lobe of the training beam is only at the kth area with 1 bit of the interval code, a step of using the training beam to emit a signal by a transmitter, recording the signal intensity of each training beam by a receiver, judging whether the beam is in the main lobe of the training beam, and obtaining an optimal communication beam. According to the method, a stepping search mode is adopted when Q is larger than 16, the searching range is subjected to interval division in each period, and the optimal interval is searched. According to the method, a beam with the superimposition of multiple main lobes are utilized to carry out beam searching, the searching efficiency is high, the search complexity is low, and the method is suitable for the beamforming of 2D and 3D and has an obvious advantage in the multi-user simultaneous searching of a star topology structure.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Searchable encryption method and system, storage medium, vehicle-mounted network and intelligent power grid

The invention belongs to the technical field of wireless communication network security. The invention discloses a searchable encryption method and system, a storage medium, a vehicle-mounted networkand an intelligent power grid, and the searchable encryption method comprises the steps: carrying out vectorization of a keyword through a dual coding function, constructing an S-HashMap safety indexthrough the characteristics of a position-sensitive Hash function, and guaranteeing a single node and a single keyword on the index; measuring the similarity between the keywords by using the Euclidean distance, and generating a primary query position before query; and meanwhile, introducing a fault-tolerant value to realize fuzzy matching, and summarizing and sorting search results of each querykeyword by adopting an integral system to obtain Top-k files with the highest matching degree. According to the searchable encryption method, efficient and safe retrieval and updating of the data in the cloud environment are achieved. Aiming at data management research in a cloud environment, a searchable encryption scheme supporting multi-keyword fuzzy retrieval is designed aiming at high efficiency and safety of data retrieval and updating, so that safe and efficient data query and updating are realized.
Owner:XIDIAN UNIV

Optimized configuration method for PRN (Passive Radar Network) reception station based on K coverage

The invention discloses an optimized configuration method for PRN reception station based on K coverage. The optimized configuration method comprises spreading loss prediction and optimized configuration. Based on known information, a radio wave spreading prediction model is utilized to predict the spreading loss in a bistatic path. The optimized configuration method, in which the K-order coverage rate is used as an evaluation index, comprises the following steps that a) k-order Voronoi diagram division is carried out on an area according to configuration of the present reception station; b) optimal configuration in the reception station in each sub division is solved to form a Voronoi solution; c) based on the Voronoic solution, a neighborhood search method is used to obtain a better solution in the neighborhood, and a neighborhood search solution is formed; and d) the neighborhood search solution is evaluated, if the neighborhood search solution is not optimal, the steps a, b and c are repeated based on the present neighborhood solution, and otherwise, iteration is stopped, and an optimal configuration result is output. The method can be used to handle the problem in optimized configuration of the PRN reception station, the complexity of optimum searching calculation is greatly reduced by a heuristic search method, optimal configuration of the reception station can be obtained rapidly, and the method is helpful for practical application of passive radars.
Owner:WUHAN UNIV

Bandwidth type automatic service configuration method

ActiveCN107493522ARealize full automatic configurationFully automated configurationMultiplex system selection arrangementsData switching networksAccess networkAuto-configuration
The invention relates to the technical field of automatic configuration and fulfillment of telecommunication optical network services, and discloses a bandwidth type automatic service configuration method. The bandwidth type automatic service configuration method comprises work order accepting and checking, service merchandising and automatic-configuration, and automatic configuration abnormity processing, wherein work order accepting and checking includes a resource system and a checking product; a work order accepting and pre-checking function is realized; service merchandising and automatic-configuration includes a network resource confirmation link, a resource configuration link, a light path generation link, a resource pre-occupancy link, a log recording link and an order return link; whole full-automatic configuration of a bandwidth type office light path is realized; due to automatic configuration and transfer, a lot of manual configuration workload is saved; whole merchandising and automatic-configuration of an office access network light path and a transmission light path can be realized; the searching capability of a routing path scheme is greatly improved; furthermore, the automatic configuration rate is about 90%; due to automatic configuration abnormity processing, a user can artificially initiate an abnormity in a task interface, and process the abnormity in time; thereby, automatic resource confirmation is realized; parameters are automatically sent; and the fulfillment process is relatively standard.
Owner:中通服软件科技有限公司

Association object retrieval method based on full-text search

The invention discloses an association object retrieval method based on full-text search, and relates to the field of metallurgical equipment. According to the technical scheme, the association objectretrieval method based on full-text search comprises the following steps: S1, establishing object data models of different types of objects; S2, establishing a relation data model of an association relation between the objects; S3, establishing full-text index of an association relation database according to a result of S2; and S4, searching association relation database index according to searchkeywords provided by a user, extracting all association objects in the relation model, and returning the association objects to the user. The association object retrieval method based on full-text search has the beneficial effects that other object information which is associated with important objects are mined deeply, and the method is a powerful tool for strengthening management of public safety. A big data analyzing technology is creatively used in the field of public safety. Compared with a universal search engine technology, the association object retrieval method based on full-text search has the advantages that a search result which takes an object as a basic unit can be acquired accurately, and the association object retrieval method is particularly suitable for application scenarios which are guided by clues among objects such as criminal investigation and criminal case cracking.
Owner:CHINACCS INFORMATION IND

Object depth data-based object recognition algorithm and device

The invention relates to a three-dimensional object recognition algorithm, in particular, an object depth data-based object recognition algorithm and an object depth data-based object recognition device. The objective of the invention is to solve problems in the prior art. According to the object depth data-based object recognition algorithm, object three-dimensional depth data with different translation and zoom factors are utilized to realize fast recognition of an object. The algorithm includes the following steps that: a world coordinate system is established, equidistant parallel line scanning is carried out, and scanning lines are projected into the world coordinate system, the scanning lines are spliced through rigid translation in a projection plane, a template and the depth data of a target object are obtained, template feature lines I and target feature lines IO are established; feature line vector extraction is performed the template feature lines and the target feature lines, and the similarities of the sub-line segments of the template feature lines I and the target feature lines IO are calculated respectively; and sub-line segments of which the similarities are larger than a set threshold value theta are adopted as matching results, wherein the sub-line segments have largest similarities, otherwise, matching fails, and the target object is different from the template.
Owner:SICHUAN UNIV

Information pushing method and device, computer equipment and storage medium

The invention provides an information pushing method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining to-be-detected media content; identifying and filtering the to-be-detected media content from the entity class intention dimension, and determining at least one first entity object corresponding to the user search intention in the to-be-detected media content; identifying and filtering the to-be-detected media content from the service demand intention dimension, and determining at least one second entity object corresponding to the user searchintention in the to-be-detected media content; and determining target object information corresponding to the user search intention based on the at least one first entity object and the at least one second entity object. By adopting the scheme, automatic intention recognition is performed on the media content to be detected in combination with the entity class intention dimension and the service demand class intention dimension, so that accurate recommendation of information can be performed on the basis of the search intention of the user, and the problems of high complexity and low accuracyof media content search through text input are solved.
Owner:BEIJING BYTEDANCE NETWORK TECH CO LTD
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