4604results about How to "Improve search efficiency" patented technology

A system for decreasing the perceived end user latency while interacting with a database. The system comprises the database storing metadata associated with one or more of media, files, data, devices and services, a user interface operable to receive a user generated query selected from a plurality of user generated query options, the plurality of user generated query options representing at least one of a user selectable object displayed by the user interface, and a processor having a predictive module operable to generate at least one background query of the database prior to the user interface receiving the user generated query, the at least one background query correlating to at least one of the user generated query options. The predictive module compares the user generated query to the at least one background query prior to sending the user generated query to the database such that if the user generated query corresponds to the at least one background query the user interface displays a result to the at least one background query.

A method and system for facilitating a keyword search request initiated at a client station within a multilevel data network, wherein the multilevel data network includes multiple local sites each containing multiple data pages. Multiple keywords from each of the data pages within the local sites of the multilevel data network are stored locally and indexed such that each of the keywords points to one or more of the data pages in which the keywords are contained. The keywords and their index associations are locally updated. A central database is utilized to compile and index the locally indexed keywords from each of the local sites, such that each of the keywords in the central database points to one or more local sites from which those keywords came in response to a keyword search initiated at the client station.

A method for selecting Spinal Cord Stimulation (SCS) stimulation parameter sets guides a clinician towards an effective set of stimulation parameters. The clinician first evaluates the effectiveness of a small number of trial stimulation parameter sets from a Measurement Table. Based on the patient's assessment, the trial stimulation sets are ranked. Then the clinician selects a starting or benchmark row in a Steering Table corresponding to the highest ranked trial stimulation parameter set. The clinician moves either up or down from the starting row, testing consecutive parameter sets. When a local optimum is found, the clinician returns to the benchmark row, and tests in the opposite direction for another local optimum. This process of searching for optimum parameter sets is repeated for a new starting row in the Steering Table that is selected based on the next ranked trial set from the Measurement Table.

The present invention provides search engine methods and systems for generating relevant search results and displaying relevant advertisements with those search results. The invention provides methods and systems for modeling and storing data in neutral forms, and then applying topification techniques to the data to generate search results that are relevant to a particular user's search request. The invention also applies topification and relevancy methods to associate ads that are relevant to a user with the search results for display.

The invention discloses a method based on multilevel filtering face recognition. The method comprises the following steps of: collecting a face image of a detected man through an image collection system on a user terminal; automatically detecting and partitioning an exact position of a face from the collected face image by a face detection and positioning system, and performing intelligent indication and image quality real-time monitoring on a face image collection process through an automatic and real-time face image quality detection system; extracting characteristic points from the face image of the user terminal according to an image quality detection threshold value, and generating corresponding target face templates; and performing real-time comparison on a face to be recognized which is detected by a client and a known face database based on a multilevel filter searching algorithm through a background server, finding out the face template having the highest matching score, judging according to a preset threshold value of the system and determining identity information of the shot man in real time. The invention also provides an intelligent identity recognition and safety monitoring system based on a multilevel face filtering and searching technology with high reliability and flexibility.

A method, apparatus and computer program product are provided for visually searching feature sets that are organized in a grid-like manner. As such, a feature set associated with a location-based grid area may be received. The location-based grid area may also be associated with the location of a device. After receiving query image features, a visual search may be performed by comparing the query image features with the feature set. The search results are then returned. By conducting the visual search within a feature set that is selected based upon the location of the device, the efficiency of the search can be enhanced and the search may potentially be performed by the device, such as a mobile device, itself.

Methods for selecting stimulation parameter sets guide a clinician towards an effective set(s) of stimulation parameters. The clinician first evaluates the effectiveness of a small number of trial stimulation parameters sets from a Measurement Table comprising for example, four stimulation parameter sets, measuring the perception threshold and maximum threshold levels. The maximum comfortable step size and desired field shift resolution are determined, and are used along with the measured threshold levels to determine an appropriate step size to use in the current steering process. In order to maintain paresthesia at a relatively constant level during the steering process, a Superposition Equalization (SEQ) algorithm is used to compensate for the physical characteristics of the lead array, i.e., electrode separation and size. A multiplier is determined and a modifying function is used to apply this multiplier to the electrode energy output during transition to maintain a relatively constant current density.

The present invention discloses a network searching method and a network searching system. The method comprises: extracting a webpage structure and an information type of a social networking site to form a database; searching according to a submitted keyword for webpage data relevant to the keyword; analyzing the searched webpage data relevant to the keywords according to the database to acquire description information of the webpage data, wherein the description information is corresponding to the information type of the social networking site; and presenting the description information along with the corresponding webpage data as a search result. According to the method and the system of the present invention, the website is formatted, detailed information in professional dimension is extracted, the description information of the type of social networking sites such as forums and blogs is finally acquired, and the description information special to forums and blogs as the search result is displayed.

The invention discloses a wind power forecasting method based on a genetic algorithm optimization BP neural network, comprising the steps: acquiring forecasting reference data from a data processing module of a wind power forecasting system; establishing a forecasting model of the BP neural network to the reference data, adopting a plurality of population codes corresponding to different structures of the BP neural network, encoding the weight number and threshold of the neural network by every population to generate individuals with different lengths, evolving and optimizing every population by using selection, intersection and variation operations of the genetic algorithm, and finally judging convergence conditions and selecting optimal individual; then initiating the neural network, further training the network by using momentum BP algorithm with variable learning rate till up to convergence, forecasting wind power by using the network; and finally, repeatedly using a forecasted valve to carry out a plurality of times of forecasting in a circle of forecast for realizing multi-step forecasting with spacing time interval. In the invention, the forecasting precision is improved, the calculation time is decreased, and the stability is enhanced.

This invention includes methods for identifying nucleic acids in a sample of nucleic acids by observing sequence sets present in the nucleic acids of the sample and then identifying those sequences in a nucleic acid sequence database having the sequence sets observed. In a preferred embodiment, a sequence set consists of two primary subsequences and an additional subsequence having determined mutual relationships. The methods include those for observing the sequence sets and those for performing sequence database searches. This invention also includes devices for recognizing in parallel the additional subsequences in a sample of as well as methods for the use of these devices. In a preferred embodiment, the devices include probes bound to a planar surface that recognize additional subsequence by hybridization, and the methods of use include features to improve the specificity and reproducibility of this hybridization.

The invention discloses a mobile robot path planning method based on an improved RRT* algorithm. The method introduces a target biasing strategy into a standard RRT* algorithm so as to reduce the randomness of sampling points; provides an avoidance step length extension method in order that a random tree can reasonably stay away from an obstacle area and avoids falling into a local minimum; and smoothes a path obtained by the improved RRT* algorithm by using a reverse sequence connection method smoothing strategy, so as to reduce the direction-changing operations of the robot and achieve the stable movement of the robot. Compared with an original standard RRT* algorithm, the improved RRT* algorithm has a better planned path and takes less time.

The invention discloses a method for providing an error correcting prompt. The method comprises the following steps of: obtaining a character string of a cursor position on a display screen; analyzing the obtained character string and judging whether the obtained character string needs processing; and supplying the prompt of the character string needing processing to a user. The invention also discloses a device for providing the error correcting prompt and an input method system. The method and the device not only can supply the error correcting prompt to characters, which are being edited by the user by using the input method, but also can supply the prompt of the character string needing processing, which is displayed on the display screen, to the user as well as supply a complementing or error correcting choice to the user so as to help the user rapidly and correctly position the character string needing processing and finish inputting and modifying a text, so an input process becomes more smooth. Since the input method has an error correcting prompt function, the dependence of the user on editing environments such as Word and the like is reduced and the character inputting quality of the user in different situations can be improved.

The embodiment of the invention discloses a method for optimizing the search space of user equipment, which comprises the following steps: receiving the search capability information of a physical downlink control channel (PDCCH) of the user equipment (UE), which is reported by the UE; based on the search capability information of the PDCCH, which is reported by the UE, determining the number of candidate sets of the PDCCH of the UE, which needs to be detected; and according to the number of the candidate sets of the PDCCH, calculating the search space of the UE. The embodiment of the invention also provides a corresponding device for optimizing the search space of the UE, and user terminal equipment. The scheme provided by the embodiment of the invention can increase the success ratio of resource allocation of the PDCCH and increase the search efficiency of the UE, thereby increasing the resource utilization ratio of the PDCCH and being beneficial to power saving of the UE.

The invention discloses a video-based detection and recognition system and a method of vehicles. The system comprises a target characteristic database module, a moving target detection module and a vehicle recognition module. A vehicle sample target characteristic database is built to store data by virtue of the target characteristic database module. After a moving target zone is detected by the moving target detection module, the vehicle recognition module builds a search window and recognizes vehicles. The system and the method resolve the technical problems of poor vehicle distinguishing capability and low distinguishing accuracy of the video-based vehicle detection under the condition of obvious background movement, vehicle adhesion, vehicle occlusion and the like in the prior art. The video-based detection and recognition system and the method of the vehicles have the advantages of excellent vehicle distinguishing capability and high accuracy.

A method of stimulating tissue of a patient is provided. The method comprises placing an array of electrodes in proximity to the tissue, conveying electrical current between the electrodes of the array to stimulate a tissue site, incrementally shifting the electrical current from at least one cathode to at least another cathode over a first range of fractionalized current values, and incrementally shifting the electrical current from at least one anode to at least another anode over a second range of fractionalized current values. The step sizes for the first and second ranges of fractionalized current values differ.

The invention provides a search method. The search method comprises the following steps of: S1, receiving a query command; S2, performing demand intention analysis on the query command based on a knowledge base, and defining the demand intention of the query command; S3, searching the query command carrying the demand intention in a database to obtain a search result; and S4, outputting the search result. Compared with the prior art, the search method has the advantages that: on the basis of the knowledge base, the query command input by a user is understood better; the intention of the query command is analyzed; the structure of the query command is analyzed to perform semantic content expansion on the query command so as to better guide a search engine to select quality resources to meet the search requirements on the user; therefore, the search efficiency of the user is improved and the network traffic is saved.

A system and method for searching a mapping table of a flash memory is provided. The system includes at least one random access memory for storing the mapping table retrieved from the flash memory and at least one search engine for searching for data from the mapping table stored in the at least one random access memory using dedicated hardware. Thus, the search efficiency for the mapping table and system performance may be increased.

A method of generating suggestions for search criteria that improve searching in a database of documents, by analyzing the documents comprising the result of the first search to find at least one potential search criterion met by at least one of the documents; and choosing search criteria that are met by a number of documents between two thresholds and give substantially different search results. An interactive and iterative method of searching a database of documents where each iteration uses criteria obtained from the analysis of the results of previous iteration.

The invention discloses a method and a device for a Hash lookup table. When storing a table, the method comprises the following steps of: planning a main table storage space which is divided into a plurality of address spaces; establishing a plurality of Hash functions and performing Hash calculation on a keyword of a piece of information to be stored by using the plurality of Hash functions to obtain a plurality of index values; and comparing the empty / full degrees of the address spaces corresponding to the plurality of index values and storing the information to be stored in the address space with the least stored information. When looking up the table, the method comprises the following steps of: using the plurality of different established Hash functions to perform Hash calculation on the keyword to be looked up so as to obtain a plurality of index values and performing match search on the keyword of a table entry of an address space position corresponding to the plurality of index values and the key word to be looked up. The method and the device for the Hash lookup table can save storage resource for the Hash table and improve the efficiency of Hash lookup.

The invention belongs to the technical field of autonomous flight control research on a quadrotor unmanned aerial vehicle, and discloses an autonomous positioning method based on a two-dimensional laser radar as well as a design method for a quadrotor unmanned aerial vehicle control system based on the positioning method and other onboard MEMS (micro electro mechanical systems) chips. According to the technical scheme adopted by the invention, the autonomous quadrotor unmanned aerial vehicle positioning and controlling method based on the laser radar comprises the following steps: preliminarily positioning the unmanned aerial vehicle in the horizontal direction by utilizing the two-dimensional laser radar, and acquiring a preliminary position value of the unmanned aerial vehicle in the height direction by utilizing an onboard barometer; then acquiring the position information of the unmanned aerial vehicle with high frequency by combining with onboard accelerometer chips by utilizing a complementary filtering algorithm; and finally, applying to unmanned aerial vehicle control systems without GPS signals based on the position information. The autonomous quadrotor unmanned aerial vehicle positioning and controlling method based on the laser radar, which is provided by the invention, is mainly applied to design and manufacturing of autonomous flight control devices of the unmanned aerial vehicle.

The invention provides a query method and system and relates to the field of computer technology. The method comprises receiving a query word string and analyzing the speeches that the words in the query word string belong to, wherein the speeches comprises entity words, property words, property values corresponding to the property words, relative words, and relative values corresponding to the relative words; according to the speeches that the words in the query word string belong to, determining a query structure correspondingly matched with the query word string and query objects in the query structure, match-analyzing the query structure in a structuralized knowledge library to obtain object values corresponding to the query objects in the query structure; separately displaying the object values in a result area corresponding to the query word string. The query method and system can help a user to query required answers rapidly to achieve high searching efficiency; by avoiding the shortcoming of immature semantic parsing in the prior art, can precisely perform question query and answering; can also effectively answer uncommon questions.

The invention discloses a feedback method, a display method and a device for search results, and belongs to the technical field of network. The method includes the steps of receiving a search requestcarrying a search keyword and a user account identifier and determining at least two search results matched with the search keyword; obtaining a user image corresponding to the user account identifier; determining the priority of the search results according to the relevance between the attribute information of the search results and a user portrait; sending the feedback information to a terminalaccording to the priority of the search results, wherein the feedback information is used for indicating that the search results are displayed in descending order of the priority on the terminal. According to the feedback method, the display method and the device, the priority of the search results is determined according to the relevance between the attribute information of the search results andthe user portrait, so that the feedback information feed back to the terminal by a server is conformed to the user's interest preference, thus the search efficiency is improved while meeting the user's personalized needs.

The invention discloses a sparse dimension reduction-based spectral hash indexing method, which comprises the following steps: 1) extracting image low-level features of an original image by using an SIFT method; 2) clustering the image low-level features by using a K-means method, and using each cluster center as a sight word; 3) reducing the dimensions of the vectors the sight words by using a sparse component analysis method directly and making the vectors sparse; 4) resolving an Euclidean-to-Hamming space mapping function by using the characteristic equation and characteristic roots of a weighted Laplace-Beltrami operator so as to obtain a low-dimension Hamming space vector; and 5) for an image to be searched, the Hamming distance between the image to be searched and the original image in the low-dimensional Hamming space and using the Hamming distance as the image similarity computation result. In the invention, the sparse dimension reduction mode instead of a spectral has principle component analysis dimension reduction mode is adopted, so the interpretability of the result is improved; and the searching problem of the Euclidean space is mapped into the Hamming space, and the search efficiency is improved.

The invention provides a method and a system for searching information, as well as an input method system, wherein, the method for searching the information comprises the following steps that: a searching keyword required by a user is determined; according to the searching keyword, the input method system generates a searching command, which is sent out to a searching engine; the searching enginereturns the searching result to the input method system; the searching result is displayed. The invention can greatly improve the searching efficiency, reduce the operation steps of the user, and avoid the invalid data exchange and the invalid data processing. For some simple searching results, the invention can also directly call the display of an affiliated window or candidate word window, thereby a browse is avoided to be called, thus saving the resources of the system and calculating the sources. The invention is applicable to various internet searching engines as well as various local searching engines, and is also applicable to various searching tools or searching websites.

The invention discloses a classified question-answering system design method based on an associated framework of a data atlas, an information atlas, a knowledge atlas and an intelligent atlas, aims to answer a text question which is put forward by a user in a natural language through atlas query and traversal, and belongs to the technical cross field of distributed calculation and software engineering science. The problems which are put forward by the user can be classified according to different question words, questions guided by question words including who, when, where and the like can traverse and search answers on the data atlas, the questions guided by what can search answers on an information atlas, the questions guided by how search answers on the knowledge atlas, and questions guided by why can search questions on the intelligent atlas. In addition, 5W questions are subjected to overlapping and migration on an aspect of semantic expression, and problems can be correspondingly converted.

A database engine facing multiple tenancies and data accessing method thereof are provided. The method of the invention includes: receiving a data access request of tenancy; determining the tenancy entity corresponding to the tenancy, wherein multiple tenancy entities share one logic table in the database; processing the data access request of the tenancy according to the configuration information of the tenancy entity. The invention introduces the concept of tenancy entity to the database: a plurality of tenancy entities shares one logic table such that the development and management costs are reduced; meanwhile, every tenancy entity has independent database access account number such that the security problem of the database access is solved; when the tenancy request comes, the data access request of the tenancy is processed according to the authority of the account number of the tenancy. Due to the introduced concept of the tenancy entity in the invention, the data of the tenancy is physically separated from each other and thus it is possible to improve performance, excellent isolation and expandability; and it is possible to realize the service quality management for the tenancy at the same time.

The invention discloses an unmanned vehicle semantic map model building method and an application method thereof to an unmanned vehicle. Extraction of a conceptual structure indicates that key map elements such as road networks, road traffic participants and traffic rules related in the running process of the unmanned vehicle are reasonably abstracted into different conceptual types, establishment of the semantic relation between concepts refers to establishment of map concept semantic hierarchical relations and incidence relations, and living examples of the conceptual types and the semantic relation among the living examples are established in an instantiated manner to finally obtain a semantic map for the unmanned vehicle. A map data structure applicable to the unmanned vehicle is built, the sufficient semantic relation among the map elements is designed, the semantic map is generated, semantic reasoning is performed according to the semantic map, a globally planned route, the current position and orientation of the unmanned vehicle and peripheral real-time obstacle information to obtain local scene information of the unmanned vehicle, scene understanding of the unmanned vehicle is realized, and the unmanned vehicle is assisted in behavior decision.

The invention relates to a smooth path planning method for mobile robots based on a dynamic complex environment, and belongs to the field of robot path planning. The method comprises the steps of starting; searching for an optimal path; conducting smooth treatment on the optimal path; ending. The step of searching for the optimal path uses a two-way RRT algorithm with the idea of gravity of an artificial potential field to perform path searching, that is, the artificial potential field gravity guides a random tree to grow toward a target direction, and the RRT algorithm is prevented from randomly sampling the global; a two-way A* algorithm after a heuristic function is improved is adopted to add angle factors based on distance factors, the units of distances and angles are normalized, thepath planning time is greatly reduced, and the convergence speed of paths is improved; smoothing treatment is conducted on the optimal path, a Freudian smoothing algorithm is adopted to remove redundant nodes, a B-spline method is used three times for smoothly connecting remaining nodes, and the smooth optimal path is finally obtained.