150 results about "Character analysis" patented technology

A method and apparatus for detecting quoted text within a document, such as an email message or email thread, is described. A text comparison is performed to identify a block of quoted text within the document. The boundaries of the block of quoted text are identified by performing a character-by-character analysis on text surrounding the identified block of quoted text. The block of quoted text is elided so that an individual can easily identify the block of quoted text as having previously been viewed.

The present invention provides an image processing apparatus that efficiently identifies input characters and the like by an intensity image analysis based on range information. The image processing apparatus performs distance measurement by performing three-dimensional measurement by pattern projection to characters written to a manuscript, whiteboard, and the like, gets an intensity image used as a so-called actual image and an image for distance measurement in parallel, and identifies input characters by an intensity image analysis based on range information. The image processing apparatus picks up characters, patterns, and the like written onto paper or the like with a pen, performs geometric transformation for picked-up images, and performs natural input character analysis and reading processing. Furthermore, by comparing images picked up in a time-series, noise elimination and manuscript position modifications become possible.

The invention relates to a rapid three-dimensional dynamic gesture recognition method and system based on a character value subdivision method. To solve the problems existing in the prior art, the invention designs a hardware platform with a small appearance; an accelerometer is used for acquiring the 3-axis acceleration of a user gesture; a gyroscope is used for acquiring the 3-axis angle velocity of the user gesture; a magnetometer is used for acquiring the 3-axis magnetic induction intensity of the user gesture; data error is eliminated through a filtering algorithm, and then attitude algorithm is performed to work out real-time three attitude angles (a course angle, a roll angle, and a pitch angel), three-dimensional dynamic gestures with a certain discrimination such as movement, rotation, ticking, cross making, shaking, and knocking are recognized through the information data by adoption of a character analysis algorithm on the basis of ensuring a certain accuracy and real-time performance, and in this way, corresponding applications can be achieved.

The invention discloses a music electroencephalological analyzing method, which comprises the following steps: a. gathering electroencephalological signal and graph; b. processing the signal; proceeding signal character analysis for electroencephalological graph; establishing character quantity data of electroencephalological signal and corresponding map regular of music character quantity data at power law distribution; mapping the electroencephalological signal into music character quantity data; c. producing MIDI pattern music according to music character quantity data or mapping regular; reconstructing electroencephalological graph based on MIDI music.

The invention relates to a method for improving performance of a distributed optical fibre sensor for detecting oil gas conduit leakage and inbreak by using Golay code. Detection signals in the sensing optical fibre are continuous optical pulse sequences modulated by Golay code and complement code thereof. The optical pulse sequences are sampling signals of sensing optical fiber transportation consumption. By reducing pulse width of optical pulse sequences, not only sampling frequency of sensing fiber transportation consumption is increased to analyze characters of new transportation consumption in the sensing optical fibre caused by conduit leakage and third party inbreak case in a larger frequency spectrum range, but also spatial resolution of synthesized backscattering optical signals is increased by analyzing to increase positioning accuracy of the new consumption. In another aspect, by adding optical pulse amount in sequences, not only sampling amount of transportation consumption is increased to facilitate characters analysis for new transportation consumption signals in the sensing optical fibre, but also intensity of synthesized backscattering optical signals and signal-to-noise ratio are increased, and the distance of conduit is increased.

The invention is a character extracting method in complex background color image based on runlength adjacency graph, which belongs to character extracting field in preprocess of color image character identification. All color connection sections are acquired with CRAG (color run-length adjacency graph) region growing algorithm after the digital color image is acquired, then the color average is carried on with color classification, acquires several color centers, forms different color layers with the color centers, then the color connection regions accordant to connection region differentiation rule are distributed onto several color layers. Finally the character is selected out through character analysis and size consistency differentiation, and acquires the character image. The method has a high speed and accuracy.

The invention provides an interrogative sentence similarity measurement method based on a deep convolutional neural network. The method comprises the following steps that: S1: through a knowledge domain related page, generating a raw corpus, crawling Chinese characters which appear in raw language materials, and generating a word vector corresponding to each Chinese character; S2: replacing each Chinese character in an interrogative sentence by the corresponding word vector to obtain a word vector set corresponding to the interrogative sentence, wherein the word vector set carries out calculation through the convolutional neural network to obtain a corresponding sentence meaning vector; and S3: carrying out pairwise combination on the interrogative sentences, and calculating the cosine function absolute values of the sentence meaning vectors corresponding to two interrogative sentences to obtain a similarity between two interrogative sentences. By use of the method, an individual-character analysis method is adopted to avoid an influence on subsequent analysis by word segmentation errors, the convolutional neural network takes the whole interrogative sentence as a whole to extractwhole sentence characteristics, and a sentence meaning splitting problem brought by using word similarity matrixes is avoided.

The invention relates to a conducted interference noise structure extracting device and structure extracting method, which dose structure extracting and feature analyzing to the EMI noise to obtain the structure extracting network capability method and device. The device is formed by a conducted noise identifying device (1), a noise character analysis network (2), an interference noise receiver (3) and a tested device (4), wherein the input end of the conducted noise identifying device (1) is connected with the stage line, the earth line and the center line of the power system; the output end of the conducted noise identifying device (1) is connected with the stage line, the earth line and the center line of the tested device (4) and the input end of the noise character analysis network (2); the output end of the noise character analysis network (2) is connected with the interference noise receiver (3).

The invention discloses an abrasion destroy failure quantitative prediction method, based on flow-solid couple analysis, comprising abrasion product protective film character analysis and failure prediction analysis under flow function. Based on the real condition of tube, via flow mechanics similar theory, the invention finds the standard, test condition and flow medium of object tube, via electrochemical test method, processes instant character test of abrasion destroy, builds flow-solid couple model to set characteristic parameter values of abrasion product protective film, uses finite element analysis software to process flow-solid couple simulation, combined with test, corrects the characteristic parameter values of the abrasion product protective film, based on real tube system typical tube, processes flow-solid couple simulation, to realize abrasion destroy failure quantitative prediction of tube system, which can accurately predict the failure points of whole tube system, to support the safe protection technique of pressure tube system.

The present invention is directed to a method of determining dog's emotions from its voice with objective supports. The invention follows the procedures of converting dog's voices into electrical audio signals, extracting characteristics in a time to frequency component relation map of the audio signals as a input voice pattern, storing in advance in memory reference voice patterns for various emotions that respectively represent characteristics of time to frequency component relation maps, comparing the input voice pattern with the reference voice patterns, and determining what a dog feels by declaring emotion of the particular reference voice pattern showing the highest correlation with the input voice pattern as a result of the comparison, and emotions represented by the reference voice patterns include 'loneliness', 'frustration', 'aggressiveness', 'assertiveness', 'happiness', and 'wistfulness', and hence, the present invention attains an effective way of determining dog's emotions with objective supports.

The invention discloses a license plate sheltering detection system, which belongs to the field of intelligent transportation control and comprises a vehicle snap-shot location module (1), a processing module (3) and a license plate sheltering judgment module (2), wherein the vehicle snap-shot location module (1) is used for shooting vehicle images at detection positions and locating vehicle outlines in the snap-shot vehicle images, the processing module (3) is used for processing situations of spiteful sheltering of license plates, and the license plate sheltering judgment module (2) comprises a license plate location module (21), a license plate character analysis module (22) and a sheltering analysis module (23). The license plate location module (21) is used for locating license plate area in the snap-shot vehicle images, the license plate character analysis module (22) is used for determining appeared character positions and positions where deficiency characters may exist according to the appeared character positions in the license plate area, and the sheltering analysis module (23) judges whether spiteful sheltering exists or not according to textures of deficiency characters positions and enables judgment results to be sent to the processing module. The license plate sheltering detection system solves the technical problem that the existing detection system can not distinguish spiteful sheltering situations.

The present invention discloses a large data student personality analysis method which is used for analyzing personality characteristics, interests and hobbies of a student, determining whether the student has bad living habits and reminding the student, and comprises: analyzing the personality characteristics, the interests and the hobbies of the student based on a student personality analysis system. The student personality analysis system includes an RFID card uniquely corresponding to a student identity, an RFID card reader and a server. The method comprises the following steps: the RFID card reader records card swiping information of the student on the RFID card reader, and the server collects the card swiping information of the student in a certain time period; and through preset empirical model and neural network model, the server compares a card swiping record of the student with a normal value range so as to determine the personality characteristics, the interests, the hobbies and the living habits of the student, and carries out reminding and guidance for the specific case of each student.

The embodiment of the invention discloses a recruitment method and device based on character analysis, a computer device and a storage medium. The method comprises the following steps: if a user loginoperation instruction is received, behavior data information related to the user is obtained; the user login operation instruction comprises user login information; the behavior data information is analyzed according to a preset analysis prediction model to determine a character characteristic value of a user; a position matching degree corresponding to the preset matching rule is determined according to the preset matching rule and the character characteristic value; If the job matching degree is greater than a preset threshold value, the user login information is identified and added into apre-enrollment database. The invention can quickly and accurately analyze the character of the candidate so as to judge the matching degree of the candidate and the candidate position.

A method for identifying a person from the detected eye image has been developed, the steps of which are: (a) discriminating the image difference by comparing the detected personal eye image with the simple background scene, and compressing the corresponding discriminated eye image; (b) decoding the compressed image to the binary coded image by utilizing multi-critical values; (c) defining only the bright region of the binary coded image as the surveying area; (d) generating the histogram for the surveying area; (e) comparing the specified histogram of the surveying area with various pre-stored templates to sort-out the similar facial groups and pick at least one similar eye region among the similar facial groups, and (f) determining the best matched eye appearance through the character analysis of the selected similar eye regions.

The invention provides a personal character analysis method, a device and a computer readable storage medium. The method comprises the following steps of collecting sample videos and annotating character types; extracting the image features and audio features of each sample video, and combining to obtain the video features of each sample video; constructing a neural network using the Softmax classifier as an output layer; annotating and training the neural network based on video features and character types, optimizing training parameters, and obtaining a personal character analysis model; collecting a face video of an to-be-analyzed object for a predetermined duration; extracting the image features and the audio features of the video of the to-be-analyzed object, and combining to obtain the video features of the video of the to-be-analyzed object; inputting the of the video features of the video of the to-be-analyzed object into the personal character analysis model to obtain a probability value corresponding to each character type of the to-be-analyzed object; and adopting a character type with the largest probability value as the character type of the to-be-analyzed object. According to the invention, the personality of a person can be objectively analyzed.

The invention relates to a system and a method for ordering search results. The system and the method are applied into electronic devices. The system for ordering the search results comprises a keyword search module, a comment weight computing module, a search result ordering module and a key information retrieval module, wherein the keyword search module is used for receiving keywords input by a user from a search interface and time intervals selected by the user from the search interface and searching the search results in corresponding time intervals according to the input keywords; the comment weight computing module is used for computing the weight value, according to the comment of the user, of each search result; the search result ordering module is used for reordering the search results according to the weight value of the user comment; the key information retrieval module is used for carrying out keyword character analysis on the search results before several orderings and the corresponding user comment so as to find out key information in the time intervals, display the key information on a display and present the key information to the user. By implementing the system and the method, the search ordering in the time intervals can be strengthened by utilizing the content of the user comment, and hot topics included in the search results or the user comment in the time intervals are retrieved.

The invention discloses a novel method of tailing dry pile process. The technical scheme is used for achieving dry pile field survey, tailing character analysis, treatment and analysis of field foundations, analysis of ground water transfusion fields, confirmation of dry pile field parameters and selection of soil engineering woven bag specification. Tailing pulp is injected in soil engineering woven bags by using tailings produced by a dressing plant, water in the tailing pulp flows out through the soil engineering woven bags (3), and coarse grain tailings are left in the bags and finally completely filling the bags. The soil engineering woven bags (3) filled with the tailings are piled from bottom to top according to staggered layers, a finally stockpiling tailing dry pile dam body (6) is a prismatoid structure with a narrow upper portion and a wide lower portion, a discharge and seepage pipeline (4) is arranged in the tailing dry pile dam body, and a slope face earthing protective layer (5) is arranged on the surface of the tailing dry pile dam body (6). The new method of the tailing dry pile process can not only solve the problem caused by the fact that tailing pond terrains for construction is lack nearby a mine, but also reduces long distance delivery cost of the tailings, guarantees normal production of the mine, and quickens building speed of the mine.

A method for handling operation flow data includes reading operation flow data presented in character string mode and character analysis table corresponding to operation flow data out from databank by read/write module then storing them in internal memory pool, fetching and operation flow data and character analysis table in internal memory pool and analyzing operation flow data as per character analysis table by analysis module, calling execution mechanism to execute action corresponding to operation flow data by analysis module. The device for realizing said method is also disclosed.

The invention discloses a rapid detection method for sorghum halepense and similar species based on a near infrared spectrum. The method comprises the following steps: adopting the near infrared spectrum to obtain spectral reflectance characteristic curves of three kinds of sorghum seeds of sorghum, sorghum halepense and sorghum sudanense between 325-1075 nm, adopting a partial least squares method for pattern character analysis, and adopting a cross validation method for judgment to determine that the optimal number of principal components is 9; after character extraction is completed, using the 9 kinds of principal components as the input variable of neural network, establishing three layers of BP (Back Propagation) neural networks, and calculating the category of each seed. The method combines the near infrared spectrum analysis with a chemical measurement method to rapidly and accurately judge the category of the three kinds of sorghum seeds, the detection time is greatly shortened, the detection efficiency is improved, and the detection cost is reduced.

The invention discloses an occupational psychological character analysis method based on a social network, and particularly relates to the field of psychological analysis. The occupational psychological character analysis method comprises the following steps: 1) collecting basic information of a user; 2) constructing an MBTI occupational character four-dimensional classifier; 3) sending a new dataset of which the weight is modified to a lower-layer classifier for training; and 4) completing an MBTI analysis report of the object. According to the occupational psychological character analysis method based on a social network, personal social network content is collected and comprehensive and deep quantitative analysis is carried out; the association between the personal microblog content and the professional psychological character is quantified by means of an MBTI model; the recruiter can comprehensively, rapidly and accurately judge the occupational psychological characters of the candidate according to the content published by the candidate in the social network by collecting the samples to train the classifier, so that an objective basis is provided for decision making; and meanwhile, automation of the whole analysis process is achieved through the information technology, and the time cost of analysis is greatly reduced.

The invention discloses a method of giving machines artificial intelligence learning based on the knowledge of psychology, comprising the following steps: (a) word classification and intelligent abstract preprocessing are carried out on a document in a document library to get a keyword, a correlation analysis of the keyword is made, values provided by the previous steps are processed, the criticality score of the keyword to the document is calculated out, and a keyword with an assigned value is obtained; (b) the personality of a user is analyzed according to the knowledge of psychology to get the personality tendency value of the user; (c) the personality tendency value obtained in step (b) is matched with the keyword criticality score obtained in step (a) to get a document library with personality tendency attribute; and (d) when the user issues an access request, the document library with personality tendency attribute gives a document with personality tendency attribute. Through a recommending method based on user's personality, the behavior of a user can be accurately predicted under specific space-time dimension and scene dimension. Through the method, the content that users will truly view can be predicted and recommended.

An edge intensification device of Bel image is prepared as storing original Bell image data into buffer storage and carrying out brightness character value calculation and edge character analysis by directly fetching out original Bell image data from buffer storage, outputting edge character data and intensifying edge of original Bell image data according to analyzed edge character data.