80results about How to "Flexible extraction" patented technology

The invention discloses a video key frame extraction method based on multi-characteristic fusion shot clustering and belongs to the video content analysis field. Research of the method is based on video shot segmentation. The method comprises the following steps of step1, extracting a group of image frame set in a video shot, extracting an HSV histogram characteristic of each frame of image and a canny edge contour characteristic, and weighting and forming characteristic information of key frame clustering; step2, using an adaptive mean value clustering method to successively classify each frame of image to a corresponding clustering cluster and updating a clustering center of each clustering cluster in real time; step3, extracting an image frame which is nearest to each clustering center as a key frame of each cluster respectively, and arranging according to a time sequence so as to form a key frame set; and step4, calculating an attention index of each key frame and extracting one frame with a highest attention index as a representative frame of a video. By using the method of the invention, problems that flexibility of a traditional key frame extraction algorithm is not high and a fidelity is low are solved.

The invention discloses an article anti-counterfeit and traceability method realized by using block chain and intelligent contract thereof. On the production side, the producer publishes the transaction of the deployment intelligent contract to the block chain, obtains the hash value returned by the block chain, attaches the hash value to the surface of the article, then photographs the image of the designated area on the surface of the article, then publishes the transaction of the deployment image to the block chain, obtains the hash value returned by the block chain, and passes the hash value to the intelligent contract; after the goods reach the consumer end through the circulation link, a consume obtains a hash value one from that surface of the article, then, the hash value 2 is obtained through block chain and intelligent contract, and image 1 is obtained, image 2 of the designated area on the surface of the article is taken, and image 1 and image 2 are identified and compared,and the consistency of the article is checked through the consistency identification and comparison of the images, so as to realize the anti-counterfeiting and traceability of the article.

The invention discloses an emergency treatment electronic medical record system and an information processing method thereof. The emergency treatment electronic medical record system comprises a server, an electronic medical record module, an electronic medical advice module, a safety maintenance module, an information integrating module and an inquiry counting module. By building, saving and calling templates, an electronic medical record can be built fast, electronic medical advices can be given fast, an inspection sheet, an check list and a prescription list can be prescribed, the characteristics of emergency treatment is adapted to, precious time can be saved for emergency rescuing, medical record input speed can be increased evidently, and prescriptions can be generated automatically according to the medical advices.

The invention belongs to the technical field of information processing. The technical problem that in the prior art, an event information extraction technical scheme is not high in accuracy is solved.The first aspect of the invention provides a text event information extraction method, and the method comprises the steps: carrying out the word segmentation of a text, carrying out the vector conversion of segmented words, obtaining a word vector, inputting the word vector into a neural network model, and outputting an entity; arranging segmented words and entities in the text blocks into structured text blocks according to grammar-defined corresponding mode rules on the basis of information types defined by the text format features; and performing event information extraction processing onthe structured text block, realizing keyword extraction by using a grammar-defined corresponding mode rule, and ooutputting keywords to a result template. Therefore, the event extraction model is configured in a mode of combining neural network deep learning and rules, and accurate extraction of text event information is realized.

The invention discloses a polarization multiplexing microwave photon radar detection method and system based on photon sampling. The detection method comprises the steps that an optical frequency combsignal is divided into two paths, the baseband linear frequency modulation signal and the target echo signal respectively modulate one path of optical frequency comb signal to obtain an emission modulation optical signal and a reception modulation optical signal with orthogonal polarization states; the emission modulation optical signal and the reception modulation optical signal are combined into one path of polarization multiplexing optical signal and then are divided into two paths; two paths of signals are respectively analyzed to obtain an emission modulation optical signal and a composite optical signal containing the emission modulation optical signal and the reception modulation optical signal, the composite optical signal is subjected to photoelectric conversion and low-pass filtering to obtain an intermediate frequency signal, and the intermediate frequency signal is processed to obtain detection target information. Through a photon sampling technology and a photon polarization multiplexing technology, broadband and frequency band adjustable radar signals are generated and received, and a radar system is compact and simple and can be integrated.

The invention relates to the technical field of target tracking and specifically relates to a Gaussian mixture CPHD (Cardinalized Probability Hypothesis Density) filtering method with flight track association and extraction capacity. The invention aims at providing the CPHD filtering method with accurate and efficient state estimation and flight track maintaining capacity. The method is realized through adoption of a Gaussian mixture technology. According to a new filter, problems existing in a CPHD filter are solved; left PHD can be accurately allocated; accurate target state estimation can be carried out; a tracking effect is improved clearly; and a target flight track can be maintained through utilization of a flight track association and extraction process independent of a filtering process. The flight path maintaining and filtering processes are non-interfering. Operation load of the filtering process is not increased, efficient operation of the filtering process is ensured, and the target track also can be extracted flexibly offline.

The invention discloses a method and a device for packing and extracting files, solving the problems of inflexible packing tools and incomplete function in the prior art. The method for packing filescomprises the following steps: collecting files to be packed, wherein each file is described by at least one file entry, each file entry comprises a plurality of file information used for describing file contents; dividing the file information contained in each file entry into at least two groups; and writing the file information in each group into a file package according to group identificationsof each group. The method for extracting files comprises the following steps: extracting the file information in the group including appointed unique identifications from the file package; determining position information of the group to which required file data belong according to the extracted file messages; and extracting the file information in the group to which the file data belong according to the position information. The files are packed and extracted more flexibly through the methods for packing and extracting the files.

Provided in the present invention is a method of detecting an abnormal behavior of a user of a computer network system, the method comprising: selecting at least two data sources in the computer network system; extracting data of user behaviors respectively from the corresponding data sources using a configured tensor data structure, and aggregating the extracted data; and detecting abnormality of user behaviors on the basis of the aggregated tensor data. The method of the present invention can efficiently integrate a large volume of irrelevant security data and identify an abnormal behavior automatically.

The invention provides a 3D (Three-Dimensional) image storage method and display method and a 3D image file format. The 3D image storage method comprises the following steps: obtaining a source image, and labeling the source image as a zeroth layer; then, obtaining the image element of the source image of the layer, dividing the source image data of the layer into data blocks of a 256*256 dimension in the length direction* width direction of the source image data, and later, independently recording a coordinate position corresponding to the starting point position of each layer of slice image in the source image; taking the starting point position of the previous layer of source image and any one slice image as a base point, reducing the sizes of lines and rows according to a preset image compression ratio to form a new source image; sampling and labeling the layer number of the new source image which is currently formed; and independently carrying out statistics on the width d' and the length 1' of the new source image, comparing d', 1' and a numerical value 256 to finally obtain the tower-like storage image information of a 3D scanning image. The 3D image storage method can improve a rate for a user to check a relevant scanning image.

The invention discloses a data element extraction analysis system and a data element extraction analysis method. The analysis system includes a data source configuration module, a data table access module, an element extraction model configuration module, an element extraction task management module, an element statistic analysis module, and an element association query module; the element extraction model configuration module can flexibly define an element extraction model for an access data table; and the element association query module can achieve data source trace and element association of source trace results on the basis of element query result data information, thereby achieve deep circulation analysis of data.

New layer of data link layer protocol - data link procedure (DLP) is introduced in the invention to realize syncretizing adaptation between PDH and SDH / SONET in order to overcome shortage of current adaptation technique including too many process layers, not matched interface speed, not supporting dynamic bandwidth allocation based on packets, and not compatible to IP and packet voice service etc. The method realizes interconnection of interfaces between PDH interfaces in low speed and SDH / SONET interfaces in high speed directly, and dynamic bandwidth allocation, and realizes compatibilities as described above. Using safety mechanism, network control management mechanism, flow management mechanism provided by DLP realizes security management, control management and flow management, and realizes united transmission and exchange. The method makes current communication network transits to united telecom public network in next generation smoothly.

The invention discloses a method for estimating leaf area indexes of Ginkgo biloba plantation based on a unmanned aerial vehicle (UAV) laser radar porosity model. The method comprises steps: 11) filtering and interpolating the discrete point cloud data of the lidar on the unmanned aerial vehicle to generate a digital terrain model, and normalizing the lidar point cloud data by using the generateddigital terrain model to obtain the normalized lidar point cloud data; 2) the Leaf area index (LAI) being estimated at plot scale by using a porosity model. The method for estimating the leaf area index of typical subtropical plain plantation by combining unmanned aerial vehicle (UAV) laser radar data with the porosity model method has the advantages of flexibility, rapidity, low cost, high quality and the like, and can better record the canopy structure characteristic of the forest and effectively enhance the inversion capability and precision of the leaf area index. The validation results show that the determination coefficient of LAI is increased by more than 5% compared with other similar remote sensing methods.

The invention relates to a flight data optimization method and system and electronic equipment. The method comprises the steps of obtaining a flight on-duty schedule; processing flight information inthe flight on-duty schedule according to a scheduling day to obtain at least one piece of first flight information; and processing the first flight information according to the waypoint to obtain at least one piece of second flight information. According to the method, after the flight schedule is obtained, the flight information is processed according to the scheduling day and the waypoint in sequence to obtain the second flight information, so that high labor cost caused by manual data processing is avoided, meanwhile, effective information is directly extracted from the second flight information obtained after data optimization, and the efficiency of flight scheduling is improved. And the extraction process is more convenient and efficient.

The invention discloses a video-based non-linear on-line expression pre-detection method and device thereof. The method includes performing preprocessing on video data and extracting feature information of each frame of image; video segments with different lengths are extracted from the training samples, and the nonlinear mapping between the segments and the detection function is constructed. Therepresentation of fragments is based on multi-instance learning, fully mining the effective expression information, and constructing a constraint pair for every two video fragments according to the size of the mapping value to obtain training data; at each time point, the OKMEFD model is updated with all the constraints of the current sample. By minimizing the experience loss and model complexityon the current training data set, the model is optimized with stochastic gradient descent algorithm to obtain the online updating criteria of the model, and the nonlinear expression pre-detection function at each time point is further obtained. The pre-detection method is that the data is read frame by frame to the test sample and the corresponding detection value is output. When the value is greater than the set threshold value, the expression event is considered to be pre-detected. The invention realizes the pre-detection before the end of the expression video. The invention effectively improve the timeliness of expression recognition.

The invention provides a high-speed data extracting method achieving input and output arranged in sequence based on an FPGA. Direct extraction at a certain extraction ratio is carried out on GHz and higher high-speed original sampling data in the FPGA, the method requires that input data are a set of high-speed A / D collection data fields arranged in sequence, and output extraction data sets are achieved in output, wherein the output extraction data sets are identical with the input data in sequence and width, and the speed of the output extraction data sets is reduced to the fraction of the extraction ratio. The high-speed data extracting method achieving the input and output arranged in sequence based on the FPGA is mainly applied to the situation that a high-speed sampling system carries out extraction on the high-speed A / D original sampling data, the sequence of SRAM storage carried out on the high-speed sampling data is not disorganized due to the fact that the input data and the output data are identical in sequence arranging mode, convenience is brought for the SRAM data storage and subsequent digital signal processing and analysis, data extraction is carried out according to the certain extraction ratio, and the data speed is made to be reduced to the fraction of the original speed. Through the utilization of the scheme, the problems of the random extraction ratio and the extraction mobility of the data direct extraction in multi-path output of a high-speed converter are solved successfully, and extraction modes are flexible.

The invention relates to a finite element modeling method and a computer storage medium, and belongs to the field of computer-aided engineering. The method comprises the following steps: grouping a plurality of input geometric objects, respectively carrying out grid generation processing to obtain a surface grid corresponding to each group of geometric objects, and respectively carrying out error repair processing on the surface grid corresponding to each group of geometric objects to obtain an independent surface grid corresponding to each group of geometric objects; carrying out compatibility processing on all the independent surface grids to obtain a preliminary surface grid system, carrying out grid re-division processing on the preliminary surface grid system to obtain a surface grid system, and carrying out feature extraction on the surface grid system to obtain feature information; and establishing a three-dimensional finite element model according to the surface grid system and the feature information. By means of the method, rapid finite element modeling of the multi-project object coupling system can be achieved, and the efficiency and the function integration degree of the whole finite element modeling process are effectively improved.

A method for extracting pixel devices from a layout comprises the following steps: 1) defining a pixel standard file; 2) checking that pixel standard file and the standard pixel device; 3) calculatingan effective area of the layout and an effective area of a standard pixel device; 4) performing mesh segmentation of the effective area of the layout; 5) traversing that grid, extracting the pixel device and storing the pixel device in a CSV file; 6) saving that CSV file to the designated position. Accord to the pixel array standard file defined by the user, the invention quickly extracts the pixel device in the layout and generates the pixel array file, thereby facilitating the designer to view the layout structure and improving the work efficiency of the designer to build the integrated circuit.

The invention discloses a keyword extraction method and device, electronic equipment and a computer storage medium, and the method comprises the steps: obtaining a search text; if the search text is of a question type, performing part-of-speech analysis on each vocabulary of the search text to obtain the part-of-speech of each vocabulary; performing syntactic analysis on each vocabulary by using a dependency syntactic algorithm to obtain a syntactic relationship between every two vocabularies with a syntactic relationship; based on the syntactic relationship between every two vocabularies with the syntactic relationship, selecting vocabularies corresponding to a subject, a predicate and an object from each vocabulary of the search text; generating a keyword set by utilizing the vocabularies corresponding to the subject, the predicate and the object respectively, wherein the keyword set comprises vocabularies respectively corresponding to the subject, the predicate and the object, and sentences formed by the vocabularies respectively corresponding to the subject, the predicate and the object. Therefore, the keyword meeting the user requirement is extracted from the question.

The invention discloses a manipulator device for producing rhinestones. The manipulator device can flexibly shift and turn so as to excellently link a series of rough rhinestone machining and production work such as rough rhinestone adhesion work, hemisphere polishing work, half-finished product rough rhinestone butting work, another hemisphere polishing work and the like. A clamp is fixed on a manipulator; the manipulator can be used for grasping the clamp in place of human fingers; in addition, the clamp can adhere to a plurality of rough rhinestones at one time after reconstruction. An upper movable cylinder and a lower movable cylinder are matched with an upper movable plate and a lower movable plate just as human arms for flexibly extracting and conveying the clamp. A turning cylinder is matched with a turning movable plate just as a human wrist for butting the half-finished product rough rhinestones on the same manipulator device on an opposite side so as to polish the rough rhinestones on another hemisphere. The invention provides the manipulator device for producing the rhinestone which is fully automatic, does not need manual auxiliary production completely, has high production efficiency and high yield and can machine and produce a plurality of rough rhinestones at one time.

The invention discloses a duty and network management transparent transfer device and a transparent transfer method on the basis of an ASON (automatically switched optical network). The duty and network management transparent transfer device comprise an optical signal processing module, an SDH (synchronous digital hierarchy) overhead processing module and a DCC (data communication channel) overhead processing module. Second equipment of a factory B is further arranged between first equipment and third equipment of a factory A in the ASON and is different from equipment of the factory A, and the duty and network management transparent transfer device is connected with the first equipment, the second equipment and the third equipment by optical fibers. Optical signals of the first equipmentcan be transmitted into the optical signal processing module of the duty and network management transparent transfer device and can be converted into SDH data of electric signals, DCC overhead data inthe SDH data can be extracted in the SDH overhead processing module to obtain duty and network management information, the duty and network management information can be processed by the DCC overheadprocessing module, and overhead bytes can be retransmitted into overhead bus according to network management commands and related time sequences by the DCC overhead processing module. The DCC overhead data and business information are multiplexed and framed to obtain the SDH data, the SDN data can be converted into optical signals, and the optical signals can be transmitted to the third equipment. Duty and network management information can be transparently transferred between the first equipment and the third equipment of the factory A across the equipment of the factory B while normal business information communication is carried out.

The invention discloses an elevator colony electric energy dispatching device and method based on a direct-current microgrid. When a traditional elevator runs, the regenerated electric energy of the elevator is dissipated mainly by means of a bleeder resistor, or fed back to a grid, or stored completely for reuse. According to the energy-saving regenerated electric energy dispatching device and method for an elevator colony comprising two or more elevators, the intelligent building direct-current microgrid is established, regenerated electric energy is dispatched to an elevator serving as a load, so that regenerated electric energy is directly utilized, electric energy is prevented from being fed back to the grid, and the problem of high cost of a system caused by complete storage of regenerated energy is solved. By dispatching the regenerated electric energy of the elevator colony, energy saving is achieved for elevators, and then energy saving is achieved for intelligent buildings.

The invention relates to a MS-LBP (Multi-scale Local Binary Pattern) feature extraction method and a system based on path integral. The method comprises steps: a cross-scale path set and multiple high pass filters are built, and a path and a high pass filter with the same length are combined to form a feature parameter group; as for each pixel point, according to each feature parameter group, a multi-scale path integral local binary pattern (pi-LBP) feature value is extracted; as for pi-LBP feature values of all pixel points in each feature parameter group, a histogram is built, and all histograms are serially connected to form a final feature value of the image. Through building different cross-scale paths and high pass filters, the texture correlation among different scales is extracted, the problem of single change of LBP coding can be solved, more effective features can be extracted through building the different paths and filters, and the feature recognition ability is thus improved.

The invention relates to a questionnaire generation method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: in response to a request instruction containing a questionnaire type, extracting a target questionnaire template corresponding to the questionnaire type in a database; in response to an editing operation on the target questionnaire template, obtaining multiple pieces of configuration information corresponding to the questionnaire architecture; respectively storing each piece of configuration information into a corresponding questionnaire information table in a database, and receiving current identification information returned by the database; historical configuration information corresponding to all historical questionnaires is stored in each questionnaire information table; target identification information is determined, and corresponding target configuration information is extracted from all questionnaire information tables of a database according to the target identification information; and combining the target configuration information according to the questionnaire architecture to generate a complete questionnaire. By adopting the method, the questionnaire generation efficiency can be improved, and questionnaire sharing and multiplexing among different users can be realized.

The invention discloses a continuous casting crack risk prediction method and an application thereof, and belongs to the technical field of continuous casting. According to the continuous casting crack risk prediction method, as intermediate cracks are generated in the continuous casting process and surface crack propagation is mainly caused by tensile strain or tensile stress, the tensile strainis taken as a basis for judging middle crack initiation and surface crack propagation, and a crack risk prediction model is established on the basis of a critical crack criterion of high-temperature tensile measurement and a full-flow heat / force coupling model of continuous casting from the meniscus of a crystallizer to the end of an air cooling area. A crack risk prediction model is adopted to analyze the crack risk of the casting blank in the whole continuous casting process and draw a crack risk cloud chart, so that a process strategy is provided for field production to control crack defects, and the quality of the casting blank is improved.

The invention discloses a rapid real-time processing method and system for airborne InSAR data, and relates to the technical field of InSAR data processing, and the method comprises the steps: the coordinate information of a ground control point in a measurement region is uploaded before takeoff; the carrier aircraft emits electromagnetic waves and receives ground echo scattering data, airborne InSAR data information is generated according to the echo scattering data and is rapidly processed in real time, and then a DEM graph and a DOM graph which accord with the national basic scale are transmitted to a ground station or a personal user in real time before the carrier aircraft lands. According to the invention, ground control point information is uploaded before takeoff, electromagnetic waves are emitted through the aerial carrier and ground echo scattering data are received, rapid, real-time and automatic data processing can be carried out on the carrier aircraft, and DEM and DOM meeting the national standard scale can be transmitted to a ground workstation or a personal user before or after the aircraft lands, so that the data processing and transmission efficiency can be improved, and the user requirements can be better met.

The invention discloses a chart information extraction method and device and a storage medium, and the method comprises the steps of obtaining a to-be-extracted information chart, and carrying out thepreprocessing of the to-be-extracted information chart; extracting a transverse frame line and a longitudinal frame line of the preprocessed to-be-extracted information chart based on an opening andclosing operation principle; performing intersection operation on the extracted transverse frame lines and the extracted longitudinal frame lines, and obtaining intersection points of the to-be-extracted information chart; determining a minimum identification unit of the to-be-extracted information chart based on the intersection point, the transverse frame line and the longitudinal frame line ofthe to-be-extracted information chart; and performing text recognition on each minimum recognition unit in the to-be-extracted information chart to obtain chart information of the to-be-extracted information chart. The key information in the image table can be efficiently, flexibly and accurately extracted, and the technical effect of improving the working efficiency of power grid safety monitoring personnel for examining the related image table is achieved.

The invention discloses a leak plate molding mold and a molding production method thereof. The leak plate molding mold comprises a mold groove; and multiple sets of convex bars are arranged in the mold groove side by side. The leak plate molding mold further comprises positioning rods; and a positioning hole set for horizontally positioning the positioning rods for overhead support of reinforcement nets for molding leak plates is formed in the side wall of the mold groove. In the process of molding the leak plates, the reinforcement nets in the leak plates use the positioning rods for stable overhead support; proper gaps can be formed between the reinforcement nets and the side walls of the mold groove; the positioning rods can be flexibly pulled out at proper time in the molding process; the reinforcement nets are still kept in horizontal suspension positions under the effect of semi-molded materials after pulling; by dint of internal reinforcement of the reinforcement nets, the finally produced leak plates achieve excellent pressure resistance; and the reinforcement nets are totally wrapped in the plates to prevent corrosion by such bad environments as acid, alkali and moisture, so that the long-time use intensity of the leak plates is guaranteed, and the service life of the leak plates is greatly prolonged.

The invention relates to an anti-resonance sound box which comprises a power amplifier device, a loudspeaker unit, a frequency divider, a fixing frame structure and a box body, wherein the box body comprises a base, a top plate and an anti-resonance wall, and the anti-resonance wall comprises a deformation cover and a cylindrical box plate; the deformation cover is arranged outside the box plate and comprises a shaping plate and a flexible layer, the shaping plate is parallel and opposite to the plate surface of the box plate, the side edges of the adjacent shaping plates are connected throughthe flexible layer, and the upper edge and the lower edge of the shaping plate are respectively connected with the outer wall of the box plate through the flexible layer; a closed annular barrel typecavity is formed by the deformation cover and the box plate; an injection valve is arranged on the shaping plate, the injection valve is communicated with the annular barrel type cavity, and the annular barrel type cavity is filled with anti-resonance liquid; the anti-resonance sound box is novel in structure and unique in principle, can provide enough firm and heavy performance for the box body,effectively reduces resonance during music playing, and can be conveniently transferred and carried.