1949results about How to "Exact search" patented technology

A retrievable frac packer is provided which allows frac operations to be conducted with a single, retrievable tool, with the capability of providing positive zone production indications during production testing.

The present invention relates to methods of searching and querying computers and websites connected to a distributed network such as the Internet. When the computers and websites are uniquely identified by an IP address or similar identifier, the processes of the present invention systematically proceed through a given range of addresses to be queried in a top-to-bottom manner. The process preferably comprises four stages: the Initial Process, the Second Pass, the Ping Process, and the Ping Follow-Up. Essentially, the Initial Process establishes a preliminary listing of computers that respond to requests transmitted over the network. The Second Pass attempts to establish a connection to computers with which a connection could not be established during the Initial Process. The Ping Process uses ping commands to verify the operability of non-responsive computers; and the Ping Follow-Up makes one final attempt to transmit requests to computers that have responded to ping commands. Output files may be generated, based upon responses to the requests, that may be used in subsequent processes such as filtering Internet websites for content.

Errors can occur when reading the threshold voltage of a programmed non-volatile storage element due to at least two mechanisms: (1) capacitive coupling between neighboring floating gates and (2) changing conductivity of the channel area after programming (referred to as back pattern effect). To account for coupling between neighboring floating gates, the read process for a particular memory cell will provide compensation to an adjacent memory cell in order to reduce the coupling effect that the adjacent memory cell has on the particular memory cell. To account for the back pattern effect, a first voltage is used during a verify operation for unselected word lines that have been subjected to a programming operation and a second voltage is used for unselected word lines that have not been subjected to a programming operation. The combination of these two techniques provides for more accurate storage and retrieval of data.

Methods for processing audio data containing speech to produce a searchable index file and for subsequently searching such an index file are provided. The processing method uses a phonetic approach and models each frame of the audio data with a set of reference phones. A score for each of the reference phones, representing the difference of the audio from the phone model, is stored in the searchable data file for each of the phones in the reference set. A consequence of storing information regarding each of the reference phones is that the accuracy of searches carried out on the index file is not compromised by the rejection of information about particular phones. A subsequent search method is also provided which uses a simple and efficient dynamic programming search to locate instances of a search term in the audio. The methods of the present invention have particular application to the field of audio data mining.

The invention discloses a method and a system for providing related search, so as to solve the problem that the prior search engine can not provide wider query. The method comprises: building an object model of web page information, and defining object properties in the object model; identifying and extracting object property information from the web page information according to the definition of the object model; measuring incidence relations between objects; and performing pertinent recommendation on objects of which the incidence relations accord with preset conditions. The method provides a novel search mode, not only can provide more precise search within the search band but also can provide wider search, and provides pertinent recommendation function under the condition of query and browse. Based on the search mode, a user can continuously keep clicking on query recommendation under the browse mode after inputting query words under the query mode for the first time and entering into the browse mode, so as to achieve the effect of query browsing.

The invention discloses a multilayer indexing voice document retrieval method and a system thereof, and belongs to the technical field of information retrieval. The multilayer indexing voice document retrieval method comprises the following steps: (1) feature extraction of a multimedia stream is implemented, thus obtaining a voice feature sequence; (2) a voice identifying decoder is used for searching the voice feature sequences, thus obtaining a word lattice and an optimal identification result; (3) according to the word lattice and the optimal identification result, a word and syllable double-layer indexing database is constructed; and (4) relevant documents of a given query term are searched in the indexing database and returned to users. The multilayer indexing voice document retrieval system comprises an automatic voice identifying module that is used for automatically identifying characters in voice documents; an automatic voice document index constructing module that is used for constructing double indexes of the voice identification result, and a voice document retrieval module that is used for searching the relevant documents of given query terms in the indexing database and returning the documents to users. Compared with the prior art, the multilayer indexing voice document retrieval method and the system can realize quick and accurate searching of multimedia data.

An electronic apparatus includes a light source that outputs a laser light; a scanning unit that scans the laser light; a reflective member having a reflective surface that reflects the laser light; a light-receiving unit that receives a first reflected light reflected by the reflective member; and a signal processing unit that calculates a distance from the light source to the reflective surface using the first reflected light and determines a direction in which the laser light is output using the distance.

The invention discloses a method for detecting a random access leader. After a random access channel (RACH) signal is treated with the simplified time domain-related operation, noise mean estimation is carried out to each root sequence; an absolute threshold is then detected according to a signal obtained by the noise estimation and signals in a search window are detected; the signals which exceed the detection threshold are screened and then a timing position can be determined in a fast and accurate way so as to provide reliable uplink timing adjustment information to a mobile terminal, guarantee the accuracy of the uplink synchronization and effectively eliminate the timing error due to the over-sampling and reduce the false alarm in the detection.

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.

There is provided an image similarity calculation system which yields a large value for image similarity between an edited image and an original image. A local region weight calculation means 14 calculates a weight value for each local region in the image as a local region weight value, based on probability of editing each local region in the image. The local region weight calculation means 14 outputs the calculated local region weight value to an image similarity calculation means 122. A small region similarity calculation means 121 compares a feature quantity for each small region resulting from dividing an inquiry image with a feature quantity for each small region resulting from dividing a reference image. The small region similarity calculation means 121 calculates a similarity of feature quantities for the respective small regions. The image similarity calculation means 122 calculates an image similarity between the inquiry image and the reference image by applying a small-region-based weight value to the calculated similarity. This weight value is found from a local region weight value supplied from the local region weight calculation means 14.

The invention discloses an image retrieval method based on color and shape features. The method comprises that: a sample image is converted and quantized on color and space, the quantized image is divided into blocks, the color complexity of each pixel point of each subblock image is calculated and vision weight is obtained, the percentage of the vision weight of different colors in the vision weight of the subblock image is calculated for each subblock image and a weighting color histogram is obtained. The color feature of each subblock is obtained according to the weighting color histogram. Contour extraction is carried out on the sample image through grey processing. Curvature scale space is adopted to describe the image shape feature of operator extraction after the contour extraction. The extracted color feature and shape feature are normalized and the normalized image feature is obtained. The normalized image feature is matched in an image feature database through an index according to a similarity measurement formula and an index result is obtained. The index method of the invention is more accurate.

Errors can occur when reading the threshold voltage of a programmed non-volatile storage element due to at least two mechanisms: (1) capacitive coupling between neighboring floating gates and (2) changing conductivity of the channel area after programming (referred to as back pattern effect). To account for coupling between neighboring floating gates, the read process for a particular memory cell will provide compensation to an adjacent memory cell in order to reduce the coupling effect that the adjacent memory cell has on the particular memory cell. To account for the back pattern effect, a first voltage is used during a verify operation for unselected word lines that have been subjected to a programming operation and a second voltage is used for unselected word lines that have not been subjected to a programming operation. The combination of these two techniques provides for more accurate storage and retrieval of data.

The invention relates to an image detection method for detecting foreign matter at the bottom of a vehicle. The method sequentially includes the following steps of image input, image registration, binary image acquisition and foreign matter detection. The method can be used for fast recognizing whether the bottom of the vehicle going in or out of a barrier gate carries foreign matter or not, a vehicle chassis image provided by a vehicle chassis imaging system is subjected to signal analysis and processing, a real-time reliable foreign matter detection method is provided for detection of the chassis of the vehicle, and therefore the foreign matter at the bottom of the chassis of the vehicle can be fast, accurately and efficiently detected, the detecting accuracy is improved, interference of manual operation and environment changes is eradicated, and the requirement for real-time detection of the bottom of the vehicle in the security and prevention market in China is met. The time needed for recognition is no longer than five seconds, and the recognition efficiency is high.

The invention discloses a three-dimensional visual operation maintenance system of subway comprehensive pipelines, comprising a user management module, a data acquisition and storage module and a three-dimensional modeling module which are connected in sequence, wherein the three-dimensional modeling module is also connected with an operation and maintenance module and a three-dimensional displaymodule respectively. In an operation maintenance method based on the system, firstly subway pipeline data is extracted from drawings and is input into the data acquisition and storage module; and secondly, the three-dimensional modeling module establishes a three-dimensional model according to the subway pipeline data, comprehensive pipelines and subway scenes are displayed by the three-dimensional display module in a three-dimensional effect, and maintenance management is carried out on the subway comprehensive pipelines by the operation and maintenance module. By the maintenance system and the maintenance method, data sources are accurate, and the problem that the drawings does not conform to the reality is solved; and in the unified management mode, the space layout of all special pipelines can be mastered by scene roaming, the integrated browsing and control of the space of all the layers and all the pipelines of subway scenes is realized.

The invention provides an intelligent fault diagnosis method of a numerical control machine tool. The intelligent fault diagnosis method uses fault tree diagnosis as a base, faults are diagnosed by combining a Bayes probability and rule reasoning method, fault cause is found, and maintenance advices are proposed. The intelligent fault diagnosis method includes: firstly extracting fault information from historical maintenance records and machine tool operation instructions, and establishing a numerical control machine tool fault information knowledge base; searching fault trees belonging to a fault position in the fault information knowledge base according to fault characteristic information, calculating probability of occurrence of each fault tree under the current condition if a plurality of fault trees fit conditions, and determining sequence for diagnosing the fault trees according to size of the probability; and finally judging whether all sub-events of top events of the fault trees occur, returning to a fault treatment method corresponding to the events and serving as a solution if the sub-evens are bottom events of the fault trees, otherwise searching sub-events of the events continuously until finding all bottom events fit the fault characteristic information. The intelligent fault diagnosis method of the numerical control machine tool is rapid in diagnosis speed and accurate and reasonable in diagnosis result.

The invention discloses a multi-dimensionality content labeling method based on a semaneteme label database. The multi-dimensionality content labeling method based on the semaneteme label database comprises the steps of establishing the semaneteme label database, configuring extensible resource types, establishing a multi-level configurable content labeling dimensionality, dividing dimensionalities of resources according to content features to establish a multi-level content dimensionality, establishing corresponding relationship between the configurable and revisable resource types and the content labeling dimensionality, conducting resource content labeling based on the semaneteme label database, processing temporary labels, conducting resource search based on the semaneteme label database, inputting index words by a user, and conducting automatic match in the extensible database by the system. If the match is successful, the system searches corresponding images according to corresponding label labeling codes. If the match is unsuccessful, the system can match the index words with resource description information, and at the same time the system saves the index words into a temporary label database. Precision and efficiency of resource labeling are effectively improved, and good base is founded for resource search and data analysis.

The invention discloses a touch screen-based rotary type continuous speed changing browsing and searching method, belonging to the information technical field; with the method, a user can make continuous operations in the limited ranged of the touch screen, achieving the control on an object in an approximate limitless range. When the user continuously draws circles on the touch screen in the rotary mode, the sliding speed and the sliding direction can be respectively calculated and judged by collecting sampling points on a reading device touch screen of the touch screen; based on the sliding speed and the sliding direction, the object elements can be continuously scrolled at different browsing speeds and in the positive and the negative directions; thereby the invention has the advantages of simple and flexible operation, fast browsing speed and space save, and is not restricted by the clockwise or the counter clockwise circle-drawing directions; moreover, the invention realizes the function that the object contents can be continuously scrolled in the positive direction and the negative direction in a relatively small touch screen without need of raising a pen by the user, thereby enhancing the applicability of hand-held reading devices; the invention can be widely applied to all touch screen reading device for searching different contents.

In an image retrieving apparatus for retrieving a retrieving image in an input image, a color histogram of an image in a retrieving area in the input image is compared with a color histogram of the retrieving image. At first, a candidate area in which the retrieving image can be included is roughly retrieved by rough image retrieving with selecting a larger retrieving area and a rough resolution of gradation of the histograms. Subsequently, an area including an image corresponding to the retrieving image is precisely retrieved by fine image retrieving with a smaller retrieving area and a fine resolution of gradation of the histograms.

The invention provides a searching and shopping method based on a handheld terminal. The searching and shopping method comprises the steps of firstly establishing commodity picture index files in a visual feature database by extracting commodity pictures and commodity information of shopping websites and classifying image feature attribute values of the commodity pictures and memorizing the index files on a server; then searching similar commodities in confirmed or selected commodity category and commodity picture index files through the server according to uploaded commodity pictures and image feature attribute values; and finally recommending the searched commodity pictures and commodity information to users according to searching results of the similar commodities. Due to the fact that the image feature attribute values of the commodity pictures are combined, required commodities are accurately searched during retrieval, meanwhile manual retrieval or searching based on visual features is avoided, and the convenience and the accuracy of searching and shopping are improved under the condition that the appearances of the required commodities are known.

The invention discloses a table entry adding, deleting and searching method of a hash table and a hash table storage device. The table entry searching method of the hash table comprises the following steps of: calculating hash values of table entry key values to be searched in parallel, searching the corresponding bitmaps according to the hash values, comparing the search results, and taking out the table entry corresponding to the address of the bitmap in the hash table when the conflict bit is invalid for the first time; and comparing the table entry with the table entry to be searched, if matching, determining that the table entry is the table entry to be searched, namely the table entry to be searched is found. According to the table entry searching method of the hash table, storage of all table entries and no table entry leave are realized with least search time and high table space utilization rate, the required table entry can be accurately searched by accessing the memory for one time, meanwhile, the interface between the hardware and a memory is conveniently realized, and table space size, search efficiency and hardware implementation can be well balanced.

The invention discloses a method for positioning a region of interest based on a convolutional neural network significance graph. The method comprises the following five steps of marking a sample, training a deep convolutional neural network model until the convergence is realized, extracting a significance graph, generating a positioning atlas for a focus, and positioning the focus. According to the technical scheme of the invention, based on the combination of a qualitative-grade calibration sample, a convergent deep convolutional neural network model and a significance graph, the intelligent learn and analysis based on medical image big data can be realized. In this way, the region of interest having a particular attribute in a medical image can be positioned. The method reduces the workload and the cost of calibration samples. Meanwhile, the method is capable of efficiently and accurately positioning the focus position, so as to facilitate doctors to make diagnosis and treatment on medical images.

The invention provides an international technology transfer public service system. The international technology transfer public service system comprises an international technology transfer and entrepreneurship incubation service subsystem and an international technical skill / service digit trading port subsystem; the international technology transfer and entrepreneurship incubation service subsystem comprises an innovation e station, an innovation demand library, a technology retrieval, a service hotline and an expert group; the international technical skill / service digit trading port subsystem comprises a high and new technology interactive exhibition system, a technical digital content manufacturing system, an industry technology mobile portal management system, an enterprise technology demand monitoring and intelligent docking system, a scientific technological incubation service purchasing system and a technology appraisement and technology appraiser training system. A digital exhibition room with multiple interactive modes on the basis of electronic data interchange (EDI) exchange terminals and the like can be established through an operating mode of combining a mobile internet and an offline innovation service platform, online offline combined technical skill (service) interactive exhibition, vertical searching, accurate pushing, expert cooperative consulting, scientific assessment and the like can be achieved, and difficulties and bottleneck problems such as difficult obtainment of technology supply-demand information, difficult value quantization and difficult transfer can be solved.

The invention provides a search content providing method and a search engine. The search content providing method includes that the search engine acquires search data of a user; the search engine acquires a first associated word set and a second associated word set associated with preset keywords according to the search data; the search engine establishes association between first associated words in the first associated word set a nd second associated words in the second associated word set according to the search data and the preset keywords; when receiving a search request including the preset keywords, the search engine provides search content according to the association. By the search content providing method, the search content can be provided according to the association, more systematic and clearer search recommendations can be recommended to the user, convenience is brought to the user for accurately and quickly acquiring needed results, search requirements of the user can be met efficiently and accurately, and search experience of the user is good.

The invention provides an intelligent analysis approach for accurately and efficiently searching the consolidated text and the image of a criminal case strand. The approach includes the steps that the image of a database and the data information of a text are distilled to form a multidimensional vector feature of each case; an operational formula is defined for continuous data and discrete symbolic data to perform uniform treatment and calculation; the multidimensional vector is endowed with different weights; a rough and reduced technology is adopted, the multidimensional vector feature of each case is performed with the dimensionality reduction; the similarity of the case to be analyzed and each case of the database with a reduced vector is calculated, a serial parallel case which is relevant to the case to be analyzed in the database is found out. The adoption of the invention can combine the experience and the knowledge of an analyst to perform an agile and flexible search and survey interactively, provide the more accurate information of the serial parallel case for the crime-solving personal and improve the crime-solving efficiency.

The invention discloses a path determination method, a path determination device, and a navigation instrument. The path determination method comprises the following steps: obtaining a starting point and an ending point of a to-be-determined path; obtaining data of obstacles in corresponding regions of the starting point and the ending point, wherein each obstacle is expressed by a polygon; the data of the obstacles are corresponding data of the polygons; determining general views of the corresponding regions according to the starting point, the ending point and the obstacle data; calculating the adjacent cost matrixes of the general views; and determining the shortest path from the starting point to the ending point according to the adjacent cost matrixes. Through the path determination method and the path determination device, the path is determined on the basis of the general views; the path determination process without a road network region is transformed into the path determination process with the road network region; and the path search accuracy is high in accuracy.

The invention provides a non-contact sight-line tracking method based on self-adaptive calibration. A light spot characteristic extracting method combining the BFS algorithm, image geometric features and gray features is used for accurately matching light spots with corresponding light sources; by means of a fitting method comprising the steps that circular fitting is conducted through a one-dimension edge detection operator and least square ellipse fitting, and noisy points are removed until the center of an ellipse is fixed, the accurate centers of pupils are obtained finally. Besides, a dynamically self-adaptive calibration is provided, and existing space mapping model precision is improved effectively.

There is provided an image similarity calculation system for calculating an image similarity between an image which has been subjected to processing and an original image. Local area weight value calculation means (14) calculates as a local area weight value a weight value for each image local area according to the probability of being subjected to processing for each image local area and outputs the calculated local area weight value to image similarity calculation means (122). A small area similarity calculation means (121) compares the characteristic amount of each small area obtained by dividing a query image to the characteristic amount of each small area obtained by dividing a reference image and calculates the similarity of characteristic amounts of each small area. The image similarity calculation means (122) calculates the image similarity between the query image and the reference image by using the weight value for each small area obtained from the local area weight value inputted from the local area weight value calculation means (14) on the calculated similarity of the characteristic amounts for each small area.

The invention discloses a NLP artificial intelligence method based on a financial vertical mapping knowledge domain and an interaction system. A set of perfect intelligent financial issue interactionsystem is established through association between the established financial vertical mapping knowledge domain and an NLP or natural language processing namely. Different from the passive response of traditional searching and question-answering systems, the method can carry out active rhetorical question, and recommend and excavate problems that users want to learn in a deep level; the flow of themethod includes steps of receiving a user question, carrying out NLP technology, and then analyzing semantic; indexing the financial vertical mapping knowledge domain through the semantic, selecting ascene scale of the question answer, and selecting the most suitable answer and pushing to customers so that questions mentioned by customers can be better understood by combining with the mapping knowledge domain while more accurately indexed.