341results about How to "Fast search" patented technology

The embodiment of the invention discloses a photo index creation method, a photo searching method, a photo index creation device and a photo searching device. The photo searching method comprises the following steps of acquiring a target photo consistent with an obtained photo searching characteristic from a photo library according to pre-established photo-information-based photo indexes, and displaying the target photo, wherein photo information comprises at least one of photo content information and photo taking information, and the indexes comprise at least one of face indexes, photo scene type indexes, photo taking quality indexes, taking time indexes, taking place indexes and the like. A user is not required to check to look for photos consistent with conditions one by one from the photo library, and can directly input the characteristic information of the photos according to the indexes and select the photos consistent with the conditions from the photo library according to the pre-established photo indexes. Therefore, private photos can be rapidly searched, and simplicity in operation and high searching speed are ensured.

The invention discloses a data page caching method for a file system of a solid-state hard disc, which comprises the following implementation steps of: (1) establishing a buffer link list used for caching data pages in a high-speed cache; (2) caching the data pages read in the solid-state hard disc in the buffer link list for access, classifying the data pages in the buffer link list into cold clean pages, hot clean pages, cold dirty pages and hot dirty pages in real time according to the access states and write access states of the data pages; (3) firstly searching a data page as a page to be replaced in the buffer link list according to the priority of the cold clean pages, the hot clean pages, the cold dirty pages and the hot dirty pages, and replacing the page to be replaced with a new data page read from the solid-state hard disc when a free space does not exist in the buffer link list. In the invention, the characteristics of the solid-state hard disc can be sufficiently utilized, the performance bottlenecks of the external storage can be effectively relieved, and the storage processing performance of the system can be improved; moreover, the data page caching method has the advantages of good I / O (Input / Output) performance, low replacement cost for cached pages, low expense and high hit rate.

The invention relates to automatic control technologies and particularly relates to a scattered material measurement technology and a material piling and taking control technology in a circular material field to improve measurement efficiency of the scattered materials and furthermore realize material piling and taking control according to measurement results. A scattered material measurement system in the circular material field comprises a drive device, a two-dimension scanner, a data processor and a measurement controller, wherein the drive device operates along a circular track built in the upper portion space of the circular material field, and the two-dimension scanner is arranged below the drive device in a lifting mode. Material piling and taking control further comprises a central control room server and the like. The scattered material measurement technology and the material piling and taking control technology in the circular material field can realize whole-course automatic control, scan the circular material field by utilizing a two-dimension laser scanner which is loaded by a circular dome track trolley, and conducts gang control with a material piling and taking machine, and therefore avoids the defects that when the measurement device is arranged on the material piling and taking machine, measurement can be conducted only after the material piling and taking machine stops working, and measure efficiency is improved.

The invention belongs to the technical field of electronic commerce, and relates to a method and a device for personalized searching of commodities in an electronic commerce activity, in particular to a method and a device for personalized searching of commodities which are sequenced based on attributes. The method and the device are used by a user to search and find needed commodities by using a computer during online shopping. The method comprises the following steps of: collecting and analyzing interests of the user in commodity attribute information by analyzing electronic commerce data from the internet; converting the commodity attributes concerned by the user into attribute sequencing knowledge in data mining; merging the attribute sequencing knowledge as future knowledge; clustering the future knowledge by using a semi-supervised clustering method; and finally, sequencing the commodities in a clustering result, and presenting commodity searching results to the user so as to guide the user to select the commodities. The method is simple in technical process, convenient for operation, accurate in information acquisition, scientific in sort order and high in searching speed, and the device is simple in structure and flexible in operation, so the method and the device can be used for replacing a commodity searching technology and commodity searching equipment in the conventional electronic commerce.

The invention belongs to the technical field of deep learning, and particularly relates to a neural network architecture search method, a neural network application method, equipment and a storage medium. The method comprises the steps of searching a first neural network model through a reinforcement learning architecture search method, and performing network structure search on the first neural network model based on a preset jump connection number to obtain a second neural network model; and setting the structure of the second neural network model based on parameters of a pre-established evaluation network, and performing training on a test data set to obtain a trained neural network model. The neural network architecture in the method is higher in search speed, and the problem that network architecture search resources are consumed too much is effectively solved. The target image is processed through the neural network model obtained through training, various image processing taskscan be executed, and the recognition precision is higher during image processing.

The invention relates to the technical field of network information security, in particular to a uniform resource locater (URL) lookup method. The invention combines a hash method and a multi-string matching method in the prior URL lookup method and provides a URL lookup method well meeting the requirements of performance and functions of a URL filtering system. Compared with the prior lookup method, the URL lookup method for the URL filtering system is quick in lookup, stable in performance and high in storage rate, can meet the storage requirements of a constantly increasing URL blacklist and supports premix matching. The URL lookup method is applicable to the URL filtering system, can realize the effective control of online behaviors of users conveniently and can also be used in other network applications such as search engine, web cache and layer-7 switching.

The invention relates to a mobile-robot route planning method based on an improved genetic algorithm. A raster model is adopted to preprocess a working space of a mobile robot, in a rasterized map, an improved rapid traversing random tree is adopted to generate connections of several clusters between a start point and a target point, portions for the mobile robot to freely walk on in the working space are converted into directed acyclic graphs, and a backtracking method is adopted to generate an initial population which is abundant in diversity and has no infeasible path on the basis of the directed acyclic graphs. Three genetic operators, namely a selection operator, a crossover operator and a mutation operator, are adopted to evolve the population, wherein the selection operator uses a tournament selection strategy, the crossover operator adopts a single-point crossover strategy, and the mutation operator adopts a mutation strategy which displaces an aberrance point with an optimal point in eight-neighbor points of the aberrance point. A quadratic b-spline curve is adopted to smooth an optimal route, and finally, a smooth optimal route is generated. According to the method, the route planning capability of the mobile robot under a complex dynamic environment is effectively improved.

The invention discloses a flow stream searching method and a device. The method comprises the following steps of: setting a pre-searching table in internal cache of a chip, adopting the pre-searching table to record key words and corresponding relation of Index thereof, and calling part of fields which only record the key words as Flow value when recording. The recording position of the Flow value of the key words corresponds to the recording position of flow table entry corresponding to the key words in a Hash barrel. When searching the needed flow table entry for message, the invention can determine the recording position of the needed flow table entry in the external cache according to the position of Index obtained by carrying out Hash operation on the key words of the message and the Flow value matched with the key words of the message in the pre-search table entry, and obtain the needed flow table entry only by needing to access the external cache for once, thus achieving the purpose of fast search.

The invention relates to a method for multirobot to search smell sources with cooperation under the dynamic smoke plumage environment, and the geometric centre of the working space is the common vertex, and divides the whole working space into several subareas, and each subarea is distributed with a robot randomly, and each robot among all the robots executes a smoke plumage discovery strategy in the working space of the corresponding subarea; when a robot in the working space detects the smoke plumage smell, the robot which detects the smoke plumage at first is immediately considered as an environment monitoring particle for monitoring the change of the smoke plumage in the environment and determining whether the particle swarm detects the smell source; other robots are considered as searching particles and employ multirobot cooperation searching method optimized from asynchronous parallel particle swarm for determining the scope of the smell source; according to the determined smell source scope, the robot which is considered as the environment monitoring particle employs a gradually forward method for gradually approaching the smell source, and when the concentration value of the gas detected by the robot as environment monitoring particle is higher than the preset value and the detected smell is sprayed in a form of directional airflow, the smell source is locked.

The invention discloses a bad block management method and a device for a Nand Flash, in which the memory space of the Nand Flash is divided into data areas and reserve areas. The bad block management method comprises the following steps: generated bad block information is obtained when data scrubbing or writing is operated in the data areas of the Nand Flash; available substitute blocks which correspond to the bad blocks are chosen in the reserve areas of the Nand Flash; data scrubbing or writing is carried out on the substitute blocks. The invention also discloses a bad block management device for Nand Flash, the substitute blocks are used for realizing scrubbing, writing and other operations of the bad blocks, the mapping relationship between the bad blocks and the substitute blocks is only needed to be established, and the substitute blocks can be found quickly on the premise of establishing; the substitute operation has no effect on other normal blocks. In addition, the invention can be applied into the firware upgrading of terminals, thus avoiding effects on firware upgrading caused by bad blocks and improving the efficiency of firware upgrading.

The invention is applicable to the technical field of communication and provides a program recommendation system, a program recommendation method and terminal equipment. The program recommendation system comprises a MongoDB cloud database, a Handoop file processor, a Mahout library and a Web server. The MongoDB cloud database is used for storing program data, identity information data of users and data information of programs historically browsed by users; the Handoop file processor is used for synchronizing data and information stored in the MongoDB cloud database; the Web server is used for receiving program recommendation requests of users to call the Mahout library and further used for displaying recommended programs through Web services; and the Mahout library is used for calling the MongoDB cloud database, selecting and starting recommendation modes based on content or users according to types of the recommendation requests of users, and matching recommended program information according to the recommendation modes. Program recommendation according to characteristics of users and programs is realized to enable user's favorite programs to be quickly searched out from massive program data.

A compact BCH parallel decoding circuit which supports preview search works on a finite field GF(2<13>). The parallel decoding circuit comprises a syndrome arithmetic circuit(1), a realizing circuit(2)with multiple shoots in one round for IBM wrong position multinomial iterative computation in the finite field GF(2<13>), a wrong address search circuit(3) provided with a totally combined logic pre-search module and a multifunctional configurable data interface(27)of an encoder. Compared with prior art, the decoding circuit has the advantages that the hardware is of low degree of complexity, the circuit area is compact and the decoding circuit is low in cost; data throughput is high and wrong address research is quick; the interface is simple in design and is practical and multi-functional; correcting performance can be flexibly configured according to the length of the check element and is free from the change of the code length.

The invention discloses an octree forest compression based three-dimensional voxel access method. The method comprises the steps of (1) uniformly dividing a voxel space according to the thickness, and creating an octree in each area; (2) performing dynamic construction and growth update for an octree forest according to each frame depth map and camera parameters; (3) quickly searching leaf data by the layered search method according to the constructed forest structure. According to the method, the octree forest sturctuer is utilized to effectively compress the consumption of a storage resource of space voxel data, and meanwhile, the data searching speed and the surface reconstruction precision can be ensured.

The invention discloses a phase-scanning and mechanism-scanning combined airspace searching method based on a spaceborne radar. The method comprises the following steps of: (1) generating a searching wave beam with a fixed shape on an azimuth plane and first initiating the searching direction of an antenna array plane toward an azimuth dimension; (2) carrying out pitching dimension searching wave beam by using a pitching dimension-dimension phased array on the antenna array plane, and implementing pitching dimension airspace searching on a sine space by using characteristics of a phased array antenna wave beam; (3) rotating the antenna array plane to the position of a next azimuth angle; and (4) judging whether an azimuth dimension wave beam direction angle is rotated to a maximum searching azimuth angle direction or not and whether the pitching dimension airspace searching is finished or not; and if so, finishing the searching; and otherwise, carrying out the searching processes of the step (2) and the step (3) in a repeated way. According to the invention, an airspace searching method with different complementary and mixed searching methods as well as combined phase-scanning and mechanism-scanning of the spaceborne radar is achieved; and the phase-scanning and mechanism-scanning combined airspace searching method based on the spaceborne radar, disclosed by the invention, has the advantages of high searching speed, short target capturing time, uneasiness for losing targets, good impact shock resistance, less T / R units and suitability for being used on spaceborne platforms with finite resources.

The invention relates to a rapid network packet classification method based on network traffic statistic information, which belongs to the technical field of filtration and monitoring of network traffic. The method comprises the steps of: determining the space partition of various domains of a header and a rule mapping table thereof according to a classification rule set, and establishing an address lookup table, a port lookup table and a rule lookup table; recording the times that the header of a network packet appears in the space partition of the domains and calculating prior distribution; establishing a letter search tree of the domains according to the prior distribution; performing continuous matching on the received header of the network packet according to the letter search tree and the lookup tables; and re-calculating the prior distribution and updating the letter search tree at update time, and continuing to match the received network traffic. The method uses the classification rule set and heuristic information of the network traffic from two different levels of network packet classification, strengthens the adaptability of the classification method, and improves average classification efficiency. The method has quick lookup speed and strong adaptability, can be realized on a plurality of platforms, and is applicable to the filtration and monitoring of high-performance network traffic.

The invention discloses a method for quickly planning and mixing paths on the basis of A-star algorithms.The method includes steps of S1, dividing a target map into a plurality of map blocks with equal sizes; computing and storing the shortest paths between all adjacent points and nodes in each map block; S2, judging affected road segments in the map blocks affected by events when the events occur, computing the shortest paths among all the adjacent points and the nodes in each map block related to the affected road segments after the affected road segments are excluded; S3, selecting the various map blocks, where paths from start points to end points pass, on the basis of the A-star algorithms, and connecting the shortest paths in the various map blocks with one another after the affected segments are excluded so as to form a plurality of alternative paths.The adjacent points represent intersection points of boundaries of roads and the map blocks, and the nodes are the start points or cross points of the roads.The alternative paths with the minimum time cost are the optimal paths.

The invention relates to a method for carrying out exploratory search for a bug problem based on a knowledge map. According to the method, information in a bug library and information in a commit library are effectively combined, related bug information is obtained by understanding content to be searched for, an entity relationship between the bug information and commit information is established, related bug report information, commit information, information of related personnel and similar bug information are listed, and thus the efficiency of software development and the efficiency of solving the bug problem by maintenance personnel are improved. The method overcomes the defects that in an existing method, the search result is not accurate, and it is needed to spend a lot of time in searching when the data size is large. In the method, the content input by a searcher is understood from the perspective of software developers and maintainers, and visual and accurate information is provided to help the searcher solve the bug problem which the user encounters. In this way, search time is shortened, and the accuracy of the search result is ensured; the purpose of the searcher is further predicted by recording information browsed by the searcher, and the software developers are helped to learn about and study knowledge related to the bug more comprehensively.

The invention discloses a power transformer fault diagnosis method based on an improved firefly algorithm (PFA) optimized probabilistic neural network (PNN). The power transformer fault diagnosis method comprises the following steps: firstly, collecting fault characteristic gas by using a gas chromatographic analysis method and carrying out pretreatment by using a fused DGA algorithm; initializinga PNN neural network, a firefly algorithm and a two-dimensional particle swarm; taking the PNN smoothing factor as a firefly individual, and calculating the position and brightness of the firefly; feeding the solving result of each firefly algorithm back to the particle swarm algorithm, carrying out fitness evaluation on each particle, and updating the positions and speeds of the particles; carrying out loop iteration, substituting the obtained optimal smoothing factor into the PNN to carry out fault prediction, and training a PNN model after PFA optimization; inputting a test sample, and outputting a fault type result, thereby achieving the fault diagnosis of the power transformer. The method is high in search speed, high in diagnosis precision, small in error, and obvious in classification effect.

A method for searching a monitor video target comprises the steps as follows: step 1, obtaining a searched target image and extracting feature of the searched target image so as to establish a target model; step 2, obtaining an input video and establishing a background model according to the input video so as to extract a moving foreground in each video frame and detecting to obtain a candidate target area via a connected domain, calculating a possible object target frame position by using an edge outline estimation method in the candidate target area; step 3, using the feature similarity of an object sub-frame of the candidate target area, which has maximum comprehensive similarity with a search target as similarity corresponding to the candidate target area; storing relative information of the candidate target area in a database if the comprehensive similarity of the candidate target area and the search object is more than a threshold value; step 4, classifying and selecting record in the database so as to reduce the emerging times of a repeated object in a continuous time period in the selecting result; step 5, inquiring the database and ranking search results according to a preset condition.

The invention discloses a method for tracking formation of an antenna beam of a phase array in a mobile satellite communication, relating to a fast antenna tracking technology in the field of mobile satellite communication. The method comprises the steps that: a receiving channel of antenna equipment is divided into a communication channel and a beaconing channel; in the beaconing channel, orthogonal and digital down-conversion of a beaconing signal is carried out and then a low-frequency signal is formed after decimation filtering and processed by an arrival algorithm; the direction of arrival of waves from a satellite is estimated and then the beam formation calculation of the communication channel is carried out based on the direction of arrival of waves and the weight of each communication channel is calculated; according to the weight, phase-shifting is carried out on the radio frequency of the communication channel and beams pointing at the satellite are formed on the communication channel to realize the tracking. The method of the invention has the capacity of fast tracking, saves the servo-mechanical structure, and has the advantages of good performance in impact resistance and shock resistance, small volume, light weight, convenient installation, small breadth, etc., especially applicable to tracking the objects in mobile carriers, such as vehicles, and airplanes, etc.

The invention discloses an Hbase second-level query scheme based on solr. The Hbase second-level query scheme comprises the following steps of inserting raw data into an Hbase column-oriented database; calling a MapReduce increment to update an index in the solr, obtaining the raw data, and storing into a server of the solr with a particular file format of the solr; accessing the server of the solr, and establishing the index; firstly, searching the index, obtaining rowkey from the index, and querying required result data from an Hbase main list. The Hbase second-level query scheme has the advantages that the searching speed is high, and the accuracy is high; by adopting a solr and Hbase combining technique, the massive data can be searched in a second-level way, and the rowkey of data of one page can be returned back by a page separating function of the solr; because the number of data of each page is extremely limited, the response speed is higher when the Hbase query is performed according to the rowkey of the corresponding page, and is controlled to the millisecond level.

The invention discloses a file acquiring method, node servers and a system. The file acquiring method of the node servers in the content distribution network system includes the steps of acquiring information of one or more hot files from a hot file server, acquiring file location information of at least one hot file of the one or more hot files from a file location server, wherein the file location information indicates information of at least one node server where the hot files are stored, and downloading the hot files from the at least one node server where the hot files are stored and storing the hot files in the node servers according to the file location information of the hot files, wherein the hot files are files with file visiting times larger than pre-determined times.

The invention discloses a nuclear power plant loose part positioning method based on Hilbert transform and data screening. The method comprises the steps of dividing grids on an impacted object; mounting acceleration sensors; calculating a distance different between a distance from the center point of each grid to one acceleration sensor and a distance from the center point of each grid to another acceleration sensor; acquiring impact signals received by all the acceleration sensors; eliminating low-frequency noise of the signals by adopting a moving average method, and filtering environmental background noise by a Butterworth filter; performing Hilbert transform on the impact signals subjected to the noise elimination to obtain oscillation starting point moments of the impact signals; calculating a nominal transmission speed of the center point of each grid according to a transmission distance difference from the center point of the corresponding grid to the sensors and arrival time differences of all channels; and performing data screening on the nominal transmission speeds of the center points of all the grids, and calculating a variance; and finding out a minimum value in all the variances, recording coordinates of the center point, and displaying a positioning result. The nuclear power plant loose part positioning method has the advantages of high positioning precision and high searching speed.

The invention discloses a method for measuring navigation satellite attitude, which comprises the following steps: observing a carrier phase of a satellite signal, geodetic latitude and longitude of an observation point and a navigation message by a receiver; analyzing a carrier phase phi and an elevation angle alpha and an azimuth angle omega of a satellite according to the geodetic latitude and longitude of the observation point and the navigation message; searching a baseline attitude angle phi and a baseline attitude angle beta by using an ant colony algorithm; calculating a baseline vector b; and back-calculating a double-difference integer ambiguity matrix N. The method for measuring the navigation satellite attitude has the following advantages: 1, small amount of calculation: the adoption of the ant colony algorithm for solving an initial attitude angle directly overcomes calculation barriers in resolving an integer ambiguity initially by a conventional method and has fast searching; 2, flexible algorithm: specific parameters of the ant colony algorithm can be selected according to different applications to obtain the maximum performance; and 3, good realizability: the ant colony algorithm is a commonly used algorithm for solving the problem of nonlinear combined optimization and has a plurality of references and good realizability.

The invention provides a route prefix processing, lookup, adding and deleting method. A multi-way Trie tree is utilized to artfully design a Trie node data structure, and the technical problems that the traditional routing table realization method can not satisfy the quick route lookup requirement, the memory access times are reduced, the cost of construction is high and the use efficiency is low can be solved by a prefix list item storage data structure and algorithm, a high-speed longest route prefix lookup method, a quick route prefix increasing method and a quick route prefix deleting method. The route prefix processing, lookup, adding and deleting method has the advantages of high lookup speed, high update speed and good use benefit.

The invention discloses a driving motor system performance evaluation method for an electric vehicle. The driving motor system performance evaluation method analyzes from different dimensions such as motor control performance, motor body design and enterprise qualification and ability of the driving motor system according to performance characteristics of a driving motor used for the electric vehicle, adopts an analytic hierarchy process to determine a driving motor performance evaluation index system and index weights thereof, establishes a BP neural network model for driving motor system performance evaluation, organically integrates a bat algorithm with a particle swarm algorithm to form a bat-particle particle swarm hybrid algorithm, and optimizes parameters of the neural network structural model by adopting the bat-particle particle swarm hybrid algorithm. Simulation examples show that, through training and testing data samples, the driving motor system performance evaluation method which optimizes the neural network based on the analytic hierarchy process and the bat-particle particle swarm hybrid algorithm has the advantages of fast evaluation speed and high accuracy rate, achieves satisfying evaluation results, and has certain promotion value in evaluation, selection and application of a driving motor system for the electric vehicle.

The invention discloses an image correction method of a binocular camera and a storage medium. The method comprises the steps of acquiring a preset coordinate mapping table, corresponding to a corrected image and an original image, of a binocular camera camera, wherein the preset coordinate mapping table comprises an X-axis coordinate mapping table and a Y-axis coordinate mapping table, and the corresponding relation between pixel points of the corrected image and sub-pixel points of the original image is recorded in the coordinate mapping table; carrying out up-sampling interpolation calculation on the preset coordinate mapping table according to a preset multiplying power to obtain a coordinate mapping table of an original size of the original image; and according to the coordinate mapping table of the original size, searching the coordinate position of the current pixel point of the corrected image in the original image, and carrying out bilinear interpolation operation on the pixelvalues of four integer pixel points surrounding the coordinate position in the original image to obtain the pixel value of the current pixel point.

The invention belongs to the field of three-dimensional microscopic imaging, and provides a fluorescence confocal microscopic imaging system. The system is additionally provided with a wide field imaging light path for obtaining a wide field image, a wide field illumination laser light source and an area-array detector on the basis of a conventional laser light source and a conventional confocal imaging light path which can be used for obtaining a three-dimensional tomographic image of a sample, and optical devices matched with the confocal imaging light path and the wide field imaging light path are also additionally arranged to realize the simultaneous display of the wide field image and the three-dimensional tomographic image. A wide field imaging mode can be used for obtaining the wide field image, so that the rapid search on a target to be observed on the sample is realized, and after the target to be observed is locked, a three-dimensional tomographic imaging mode is used for obtaining a high-accuracy three-dimensional tomographic image of the target to be observed, and simultaneously obtaining a wide field surface image of the sample. Compared with the prior art, the system has the advantages that the problem of long scanning time caused by point-by-point scanning of the sample is solved; in addition, the system is simple in structure, the system cost is lowered, and the industrial application of the system is facilitated.

An all-digital phase-locked loop (ADPLL) composed of digital circuits is provided. The ADPLL includes a phase-frequency detector (PFD), a control unit, a digital controlled oscillator (DCO), and a plurality of frequency dividers. A first frequency divider divides a frequency of a feedback signal CKOUT by a natural number M to generate a first output signal CKOUT / M. The PFD generates a decrement signal dn and an increment signal up, based on a phase difference and a frequency between a first reference clock signal CKIN and the first output signal CKOUT / M. The DCO generates a clock signal CKDCO based on the digital control signals. A second frequency divider receives the digital control signals from the control unit and the CKDCO from the DCO and divides the frequency of the CKDCO by a bit number of the digital control signals to generate a feedback signal CKOUT to the first frequency divider.