Semantic keeping method in realizing figure synergistic design based semantic lock

The present invention discloses semanteme keeping method in realizing synergistic pattern design based on semantic lock. Through increasing semantic information to traditional semantic lock, unforced semanteme keeping and forced semanteme keeping of locked target or area attribute limiting form are realized in semantic annotation mode. The present invention realizes the semantic expression, transmission and keeping in edition operation of multiuser synergistic pattern design, so as to realize the influent operation in synergistic design and prevent semantic conflict in the synergistic edition of different users.

Predicting method for system lock in pattern coordinate design

A prediction method of system lock in pattern coordination design includes applying prediction method of expansion, lock and set to help the user of online operation to predict operation region in the future and locking the region in advance; starting up corresponding policy for solving the conflict while conflict is occurred is locking operation.

Method of controlling rate of video compression code based on query table in low memory consumption

Method for updating embedded speech identification system function

The invention discloses a method used for updating the functions of an embedded speech recognition system. The invention comprises the steps as follows: a function updating request is initiated by the system; the present speech recognition program is halted and the present data is backed up; updating data are obtained by the network or a local file system; the obtained updating data are checked; speech recognition training is carried out according to the updating data and the training result is stored; and the system with updated functions is operated. By adopting the method used for updating the functions of the embedded speech recognition system of the invention, updating can be carried out on the functions of the system by the user without changing the speech recognition program maintained in the embedded system, thereby improving user experience of the product and raising value of the product.

Individual network news recommending method based on multitheme tracing

The invention relates to an individual network news recommending method based on multitheme tracing, which comprises the following steps: obtaining a news webpage browsed by a user and dividing the news webpage into a plurality of user interest submodels; dynamically updating a multitheme interest model of a user according to the condition that whether the user reads a news report recommended by the interest submodels or not; judging whether the quantity of the interest submodels exceeds a preset threshold value, if so, searching and deleting the interest submodel which is farthest from the interest of the user; searching the maximal similarity between news to be recommended and all the interest submodels; calculating sequencing values of the news report and sequencing the sequencing values from the large value to the small value; and recommending a sequenced news list to the user. The invention can cover various interest characteristics of the user and has the advantages of high recommending ...

Accessibility web browsing method based on linkage cluster

A barrier-free web browsing method based on linkage cluster comprises the following steps: web pages are captured from the Internet to obtain the links in the web pages; the URL text content and anchor text content corresponding to each link are extracted, the text information of the web page corresponding to each link is extracted simultaneously; the key words in the URL text, the anchor text and the corresponding web text are obtained; the key words are used as characteristics to express the links of all the web pages as link vectors composed of the key word information formally and respectively, wherein di is the weight information of the i-th key word in the link vectors; and the clustering algorithm is utilized to cluster the link vectors to ensure that the links with the same subject are of a group and the web pages are displayed again in a grouping manner. The invention has the advantage that the links of each web page are clustered to ensure that the links of the web page are displayed ...

Method for determining window shearing relation in grahpic user interface

A method for confirming shear relation of windows in client boundary surface includes recording and manitaining counting value of top covered windows in each rectangular area of each window shear domain, only calculating shear relation of influenced window not for all of them in order to decrease complication of calculating when event influencing window shear relation is occurred in client boundary surface system.

Restraining method of control points of using marginal effect

Information real-time recommendation method for online forum

The invention discloses an information real-time recommendation method for an online forum. The method comprises the following steps of: acquiring all topic link data discussed by users during an appointed time period and analyzing a potential topic contained in the topic link; measuring a mutual influence value and a user spontaneous interest value which are discussed by the users respectively for different potential topics; and calculating a trend probability of user participation in a new topic link, seqencing the users according to the trend probability and recommending the sequenced topic links to the users. The method has the advantages of quickly searching posts associated with the social intercourse and topic interests of the users, along with short search time and high efficiency.

Over platform end-to-end PTP protocol stack designing method

Background modeling method based on block facing video monitoring

The invention discloses a background modeling method based on the block facing the video monitoring. For the background modeling, the past methods need to consume a large number of memory in computing without the use of the consistency of the pixel values in the space. The invention provides a new background modeling method based on the block, including the steps: 1, searching pixel color from the color cluster array of the corresponding block, if yes, changing the color cluster, or else, building a new color cluster; 2, searching pixel color from the weight index array, if yes, changing the index, or else, building a new index; 3, determining the current pixel type by the weight. Compared with the traditional model, the inventive model greatly reduce the byte number for modeling one pixel, thus guaranteeing the computing speed and effectively reducing the memory consumption.

GUI optimizing method of high resolution digital liquid crystal screen for embedded system

The invention discloses a GUI optimization method of a digital LCD with high resolution used for an embedded system. DMA is used for optimizing the drawing of a straight line and a rectangle, and optimizing scan line algorithm and image rotation operation. The method utilizes DMA to optimize an embedded GUI, thus realizing more reasonable use of hardware source, and further obtaining the optimized GUI drawing performance. The method utilizes the hardware source more reasonably and further obtains the optimized GUI drawing performance, which greatly improves the GUI performance of Blackfin embedded platform with simple process, and is easy to achieve software realization; the invention is dependent on LCD equipment, with the utilization of the frame buffer device file provided by the operation system.

Debugging method for applied programm in simulator of embedded system

A method for debugging application program on simulator in embedded system includes fetching out core symbol file generated during compile of operation system to obtain process control block information of application program in simulator memory as result to obtain control ability of corresponding application program for realizing the debugging of application program operated in simulator and above operation system.

Method for rapidly detecting human face based on video

The invention discloses a method for detecting human faces on the basis of video. The method comprises: concerning foreground areas in video frames, using the space-time domain characteristics between the video frames to detect the human faces of the foreground areas through preprocessing, dividing the human face detecting process into two different modes of an inspection mode and a tracking mode, switching a detecting flow to the inspection mode if the human faces can not be detected in the tracking mode or the tracking mode forecasts that the human faces which are tracked will escape a monitoring area in next frame, searching the foreground area wholly, and recollecting human face information of the monitoring area. The invention can reduce the region area which needs searching in the detecting process, can reduce areas which need searching in the detecting process, can avoid the defect that a traditional AdaBoost algorism searches full frames, can greatly lower the computational complexity ...

Motion estimating method with graded complexity

The method includes three steps: first the still block is checked; second the motion vector prediction is made for non-still block; finally fine searching in selective part is made to get final motion vector. Through optimizing the configuration to the number of prediction points and space size of fine searching, the classification of computation complexity is implemented.

Multi-task personalized web service method based on hypergraph

The invention provides a multi-task personalized web service method based on a hypergraph, comprising the following steps: relations among objects in a social network community are acquired, the relations among the objects are constructed to form a hypergraph, each object is constructed to be a node in the hypergraph, each relation among the objects is constructed to be a hyperedge in the hypergraph, the objects of the same type form nodes of the same type, the relations among the objects of the same type form the hyperedges of the same type in the hypergraph, and each hyperedge is weighted; a matrix H for characterizing an inclusion relation between the hyperedges and the nodes and a weight diagonal matrix W are acquired; the matrix H and the weight diagonal matrix W are subject to precomputation, query objects are selected in accordance with personalized service demands, and query vectors are constructed in accordance with the query objects; the other objects on the hypergraph are sequenced ...

Anti-interference real-time tracking method for profile of object

The invention discloses an anti-interference real-time tracking method for the profile of an object. The real-time profile tracking in video monitoring has two problems, one is slower speed and the other is influence of noise, shadow and the like. Compared with the traditional level set method, the anti-interference real-time tracking method avoids high computational complexity of repeatedly solving partial differential equation. In addition, the information of color is analyzed on an RGB color space, thus eliminating the shadow and noise in the process of foreground extraction. Different from the traditional method, the process does not set a large amount of threshold values by hand. Further, the anti-interference real-time tracking method utilizes the process of foreground extraction to obtain the approximate position of the profile of the tracked object. The step is automatically completed similarly, thus greatly reducing the time consumption of profile evolution in the level set method ...

Program dynamic updating method for wireless sensor network capable of resisting compromised node attack

The invention discloses a program dynamic updating method for a wireless sensor network capable of resisting compromised node attack, comprising the following steps: before deploying sensor nodes, a base station determines a Hash function, selects a Euclidean space, and decomposes the Euclidean space into a first subspace and a second subspace which are orthogonal to each other; the base station selects an identifier for each sensor node and a vector belonging to the first subspace; the vector, the identifier and the Hash function are respectively loaded into each sensor node; and after deploying the sensor nodes, when updating programs, the base station broadcasts a program updating message to the sensor network, and each sensor node verifies the effectiveness of the message after receiving the program updating message. The program dynamic updating method has the advantages that the programs on all the sensor nodes can be updated only by sending one broadcast message through the base station ...

Predicted method of range which user pays attention to in distributed pattern cooperation design

Accessibility web browsing method based on linkage cluster

An accessibility web browsing method based on linkage cluster comprises the following steps: web pages are captured from the Internet to obtain the links in the web pages; the URL text content and anchor text content corresponding to each link are extracted, the text information of the web page corresponding to each link is extracted simultaneously; the key words in the URL text, the anchor text and the corresponding web text are obtained; the key words are used as characteristics to express the links of all the web pages as link vectors composed of the key word information formally and respectively, wherein di is the weight information of the i-th key word in the link vectors; and the clustering algorithm is utilized to cluster the link vectors to ensure that the links with the same subject are of a group and the web pages are displayed again in a grouping manner. The invention has the advantage that the links of each web page are clustered to ensure that the links of the web page are ...

Anti-interference real-time tracking method for profile of object

The invention discloses an anti-interference real-time tracking method for the profile of an object. The real-time profile tracking in video monitoring has two problems, one is slower speed and the other is influence of noise, shadow and the like. Compared with the traditional level set method, the anti-interference real-time tracking method avoids high computational complexity of repeatedly solving partial differential equation. In addition, the information of color is analyzed on an RGB color space, thus eliminating the shadow and noise in the process of foreground extraction. Different from the traditional method, the process does not set a large amount of threshold values by hand. Further, the anti-interference real-time tracking method utilizes the process of foreground extraction toobtain the approximate position of the profile of the tracked object. The step is automatically completed similarly, thus greatly reducing the time consumption of profile evolution in the level set method ...

Method for maintaining semantics consistency in figure synergistic design

The present invention discloses semantic consistency maintaining method in synergistic pattern design in distributive environment. Through the detection on semantic conflict and compatibility in concurrent operations, semantic compatible group is created, user's negotiation mechanism is provided, the semantic compatible operation group on target is determined through negotiation, and semantic consistency maintenance in the site copies is finally realize. The present invention realizes the detection and solution of semantic conflict problem in multiuser synergistic pattern design to ensure the influent operation in synergistic design and to maintain the semantic consistency in the synergistic edition of different users.

Noise data cleaning method based on semantic ontology

The invention relates to a noise data cleaning method based on semantic ontology, including that a clean database stored with noise-free clean data is created; text data to be cleaned is acquired, the data to be cleaned is preprocessed, so as to obtain structured data, and the structured data forms a set of words of text data; semantic concept of knowledge network is introduced in, and semantic similarity of every two words is obtained; the semantic similarity of two words is utilized to measure distance, K-means algorithm is adopted, automatic clustering is carried out on words, and noise data is identified; semantic ontology generating noise is searched in the noise data, the semantic ontology generating noise is corrected, so as to acquire clean data, and the clean data is stored into the clean database. The invention has the advantages that semantic relevance between data can be found, synonyms can be distinguished, and good performance in data cleaning process can be achieved.

Image deblurring method

The invention discloses an image deblurring method. The method comprises the following three effective steps of: denoising a blurred image by utilizing an anisotropic diffusion rule to obtain a smooth image; performing edge enhancement on the smooth image by utilizing shock filtering to obtain a sharpened image; and comparing the sharpened image and the blurred image to obtain the jitter track of the blurred image, and performing standard Wiener filtering by utilizing the jitter track of the blurred image and the blurred image to obtain a sharp image. By combining anisotropic diffusion rule-based smoothing operation and sharpening operation using the shock filtering, noise can be removed and simultaneously an image edge is enhanced to the maximum extent, a rapid estimation method with an arbitrary-order penalty term is adopted in a subsequent jitter track solving process, and Fourier transform is combined for acceleration, so that the solving speed is remarkably improved.

Method for automatic photomotage of multi-face

Selection method of network answers based on probabilistic latent semantic analysis

A selection method of network answers based on probabilistic latent semantic analysis comprises the following steps: a problem set C, constructing a probabilistic latent semantic analysis model by using a user set u and a word set w as variables, and using the probabilistic latent semantic analysis model to dig the latent theme information of each user u; obtaining problems q newly raised in a question-answering community and the words w forming the questions, determining the joint probability of the current problems and candidate answers, and calculating the joint probability of the current questions and the users answering the current problems; linearly weighting the joint probability of the current problems and the candidate answers and the joint probability of the current questions and the users answering the current problems to obtain candidate answer scores, arranging the candidate answer scores in the manner of descending order, and sending the answers to the user raising the problem ...

Method for dynamic control of data packet length in wireless sensor network

The invention discloses a method for dynamic control of data packet length in a wireless sensor network, which comprises the following steps that: a request module of a source node transmits a request to a module for dynamic control of data packet length for transmission of a data packet to a target node; a link estimation module of the source node for dynamic control of data packet length estimates the link quality to obtain the optimal data packet length; if the length of the data packet transmitted on request is smaller than the optimal data packet length, the data packet is processed through polymerization and then identity addition or direct through identity addition and is then transmitted to the transmitting module of the source node, otherwise, the data packet is processes throughsegmentation and then identity addition and is then transmitted to the transmitting module of the source node; the data packet is sequentially transmitted to the receiving module and the module for dynamic ...

Optimizing distribution method in moving evaluation for hardware computing power resource

This invention discloses an optimized distribution method of a hardware computing capacity resource in motion estimation. H 264 is a new generation video encode standard, which absorbs the advantages of present video code standard and puts forward many new algorithms and greatly increases encode efficiency and image quality yet it needs the support by carious hardware. This invention puts forward optimizing motion estimate, so as to distribute hardware resource reasonably further to get the optimum peak SN ratio and code rate to realize balanced adjustment of operation complexity and predictive accuracy.

Cartoon stylization method facing online real-time application

The invention discloses a cartoon stylization method facing online real-time application. The method comprises the following steps of: utilizing iterative bidirectional filtering to carry out edge sharpening processing to an image; on the processing result of iterative bidirectional filtering, using the real time implementation of a Gauss-Laplace method to carry out edge detection so as to obtain sketch effect; carrying out quantization on the processing result of iterative bidirectional filtering so as to obtain oil paint effect; and carrying out combination to the results of edge detection and quantization so as to obtain cartoon effect. Compared with the traditional method, the cartoon stylization method can obtain faster speed and better visual effect, obtain good effect to the face and scenery in application occasions with high real-time requirement, such as video chat, games and the like, and expand the application field of video cartoon stylization.

Method for recommending problem based on probability latent semantic analysis

The invention discloses a recommended method for analyzing the latent semantic problem based on the probability. The method describes the interest of a user through a state model in the latent semantic analysis on the probability and provides the compatible problem recommendation for the user interactive type question-answering system. The method adopts a ternary state model, has the advantages of two recommended ways based on the content and collaborative filtering, performs problem recommendation according to the personalized information of the user, and has high accuracy and good applicability in the user interactive type question-answering system.

Method for generating suggested keywords of sponsored search advertisement based on user feedback

The invention discloses a method for generating suggested keywords of sponsored search advertisement based on user feedback, which develops semantic relatedness between words and establishes a learning machine to evaluate the relatedness of word pairs by utilizing the feedback information of users on the relatedness of a small quantity of word pairs so as to select words which has high relatednesswith seed keywords describing advertiser products or service concepts as the suggested keywords to be recommended to advertiser users, wherein an active learning method is used for selecting a word pair sample with maximal information quantity to evaluate user relatedness so as to enhance the efficiency and the precision of generating related suggested keywords. The invention can effectively generate hundreds of to thousands of related words to be used as the suggested keywords to be recommended to the advertiser users corresponding to each seed keyword; in addition, the advertiser users carry ...

Personalized push method for vocal web page news

The invention discloses a personalized push method used for voiced webpage news, comprising the steps as follows: a plurality of news websites are taken as data sources so as to gain the news webpage; furthermore, the straight matter of the news is extracted out of the news webpage; the news is broadcasted to the user by a semantic synthesis technique; the user selects the news type to be listened to by a command and jumps over the broadcasting news; the history information of the news broadcasted by the user is recorded and analyzed; the preference degree of the user on various news; based on hereof, the news types and the broadcasting sequence of the news content are re-arranged and broadcasted to the user. The method effectively considers the characteristic that different users are fond of different news and rearranges the broadcasting sequence of the news according to the requirements of the users. The method supports various terminals (intelligent mobile phone, PC, PDA and the like ...

Method for carrying out wireless network general authentication on drift user

The invention discloses a method for carrying out wireless network general authentication on a drift user, comprising the following steps: a home server and nonlocal servers acquire digital certificates, the home server generates secret keys for authorized users of the home server, and the home server broadcasts the digital certificates of all the nonlocal servers to all the authorized users; andthe nonlocal servers download a list of cancelled users form the home server periodically. When the drift user moves into the region of a nonlocal server, the secret keys generated by the home serverare utilized to carry out group signature on logon request information, the nonlocal server implements group signature authentication on the logon request information of the drift user after group signature according to the list of cancelled users downloaded from the home server, so as to judge whether the drift user is the authenticated user of the home server or not, if not, the nonlocal serverrejects ...

Fire monitoring system based on GPRS and ZigBee sensor network

The invention discloses a fire monitoring system based on GPRS and a ZigBee sensor network, which consists of a local area monitoring network and a monitoring center computer, wherein the local area monitoring network comprises a plurality of sublocal area monitoring networks, and wireless communication nodes in the sublocal area monitoring networks are connected with the monitoring center computer through a GPRS network; and a plurality of wireless sensor nodes in the sublocal area monitoring networks are connected with the wireless communication nodes to form a ZigBee sensor network with a star topology. The fire monitoring system is used for citywide fire monitoring, the monitoring center computer can obtain fire conditions of places where the wireless sensor nodes are positioned at any time, and the operation condition of the whole fire monitoring system and the fire occurrence condition can be obtained from the monitoring center computer; and the ZigBee sensor network has low deployment ...

Rubbish blog detecting method

The invention discloses a method for detecting a garbage blog. The method is designed as follows: through analyzing a cheating technology of network garbage, the method aims at an essential attribute of the garbage blog, adopts a technology of text classification in binary classification and surrounds three angles of the content characteristic of a blog text, the link character of a blog page and the time distribution character of the blog text, The method is built on the basis of the comprehensive analysis of the content of a blog webpage and carries out optimization on the operation of character extraction of the blog, thereby ensuring the higher accuracy rate of classifying the garbage blog.

Fault infusion based embedded system evaluation method

The invention discloses an embedded system assessment method based on fault injection. The fault injection is realized by utilizing a hardware interface and an operation system interface and according to the embedded system platform hierarchical model; after the fault injection, a qualitative analysis is carried out for the performance of the system under an abnormal state, the system performance is assessed respectively on two aspects: system failure and task failure. The embedded platform interface is adopted to carry out fault injection so as to effectively simulate hardware faults, operation system level faults and application level faults. After the fault injection, observation to the failure performance of a tested platform with some faults can assess the fault tolerance capability and anti-abnormality capability of the system and is good for carrying out fault forecast according to the failure performance. The application of the assessment method to the embedded system assessment ...

Method for dynamically allocating internal memory for wireless sensing network node operating system

The invention discloses a dynamic memory allocation method in wireless sensor network nodes operating system, which comprises the steps of editing source code, precompiling, local compiling, simulating, analyzing and installing. According to the invention, the execution time and space efficiency of dynamic memory access can be enhanced and improved, application developers can flexibly control candidate dynamic memory allocation algorithms and analyzing parameters of an analyzer. The method selects a dynamic allocation algorithm for a specific application by means of a simulator and an analyzer, such that an application actually disposed on wireless sensor network nodes obtains optimal performance and minimal memory cost.

Method for compressing colour space conversion of 16 bit colour image

The present invention discloses one kind of color space transformation method for compressing 16-bit color image. On the basis of traditional image or video compression technology, such as JPEG sequence, MPEG sequence and H.26X sequence, one conversion from 24-bit RGB format to 16-bit RGB format is increased to the encoding end, and the color space transformation method is used to eliminate the redundant information in the input end and simplify the operation steps in the decoding end, so as to reduce the decoding complexity and raise the video compression quality.

Cartoon stylization method facing online real-time application

The invention discloses a cartoon stylization method facing online real-time application. The method comprises the following steps of: utilizing iterative bidirectional filtering to carry out edge sharpening processing to an image; on the processing result of iterative bidirectional filtering, using the real time implementation of a Gauss-Laplace method to carry out edge detection so as to obtain sketch effect; carrying out quantization on the processing result of iterative bidirectional filtering so as to obtain oil paint effect; and carrying out combination to the results of edge detection and quantization so as to obtain cartoon effect. Compared with the traditional method, the cartoon stylization method can obtain faster speed and better visual effect, obtain good effect to the face and scenery in application occasions with high real-time requirement, such as video chat, games and the like, and expand the application field of video cartoon stylization.

Networking auxiliary product recognition method based on RFID

The invention discloses a RFID-based networking subsidiary product identification method. The method comprises the following steps: a RFID tag is utilized for carrying out the product identification; the recording or the playing of a record is carried out on certain RFID tag at an identification terminal; the identification terminal can obtain text information which is related to the certain RFID tag from a server by a wire or wireless network and play the text information by the voice synthesis. The RFID-based networking subsidiary product identification method comprehensively uses the RFID, the voice synthesis and the network technology, the method can not only help a visual impaired user to identify a product by the user-defined recording and the playing of the record, but also automatically obtain the product information description from the network and display the description to the visual impaired user by voice synthesis, thereby having better usability and scalability and being capable ...

Method for fusing wireless sensing network operating system inner core

Image content semanteme marking method

Noise data cleaning method based on semantic ontology

The invention relates to a noise data cleaning method based on semantic ontology, including that a clean database stored with noise-free clean data is created; text data to be cleaned is acquired, the data to be cleaned is preprocessed, so as to obtain structured data, and the structured data forms a set of words of text data; semantic concept of knowledge network is introduced in, and semantic similarity of every two words is obtained; the semantic similarity of two words is utilized to measure distance, K-means algorithm is adopted, automatic clustering is carried out on words, and noise data is identified; semantic ontology generating noise is searched in the noise data, the semantic ontology generating noise is corrected, so as to acquire clean data, and the clean data is stored into the clean database. The invention has the advantages that semantic relevance between data can be found, synonyms can be distinguished, and good performance in data cleaning process can be achieved.

Method for static data loss equalization based on NAND flash memory file system

The invention discloses a loss balancing approach which is based on static datum in the NAND flash memory file system. The approach divides the erase blocks of the whole NAND flash memory into four types: free block, clean block, dirty block, bad block, and forms four link lists; the free block link list links the erasing blocks in accordance with the erasing times from small to large, a threshold TH is set and a block from the free block link list is selected and datum of A erasing block having the largest erasing times is copied to the free block; then the erasing operation of the A erase block is executed, then datum of B erasing block having the smallest erasing times is copied to the A erasing block; then the B erasing block is put into the dirty block link list, frequently updated datum are stored in the B erasing block after the B erasing block is erased. The invention can balance the erasing times of static data and dynamic data, and the loss balance of the whole flash memory device ...

Program dynamic updating method for wireless sensor network capable of resisting compromised node attack

The invention discloses a program dynamic updating method for a wireless sensor network capable of resisting compromised node attack, comprising the following steps: before deploying sensor nodes, a base station determines a Hash function, selects a Euclidean space, and decomposes the Euclidean space into a first subspace and a second subspace which are orthogonal to each other; the base station selects an identifier for each sensor node and a vector belonging to the first subspace; the vector, the identifier and the Hash function are respectively loaded into each sensor node; and after deploying the sensor nodes, when updating programs, the base station broadcasts a program updating message to the sensor network, and each sensor node verifies the effectiveness of the message after receiving the program updating message. The program dynamic updating method has the advantages that the programs on all the sensor nodes can be updated only by sending one broadcast message through the basestation ...

Image deblurring method

The invention discloses an image deblurring method. The method comprises the following three effective steps of: denoising a blurred image by utilizing an anisotropic diffusion rule to obtain a smooth image; performing edge enhancement on the smooth image by utilizing shock filtering to obtain a sharpened image; and comparing the sharpened image and the blurred image to obtain the jitter track ofthe blurred image, and performing standard Wiener filtering by utilizing the jitter track of the blurred image and the blurred image to obtain a sharp image. By combining anisotropic diffusion rule-based smoothing operation and sharpening operation using the shock filtering, noise can be removed and simultaneously an image edge is enhanced to the maximum extent, a rapid estimation method with an arbitrary-order penalty term is adopted in a subsequent jitter track solving process, and Fourier transform is combined for acceleration, so that the solving speed is remarkably improved.

Black and white document image denoising method based on block statistics

The present invention discloses a black and white document image denoising method based on block statistic, which includes: dividing the document image into N*N blocks, the value of N depends on the number of pixels in each inch; examining each block A and four blocks at its top, bottom, right and left; if the examined block A has miscellaneous points, changing all the pixels in the block A into white, thereby removing the miscellaneous points in the document images. The present invention adopts a method of counting the pixel situation of each block and the blocks all around the block to judge whether the block includes miscellaneous points (noise), to identify miscellaneous points and further removing miscellaneous points, finally removing all the miscellaneous points in the document image under the precondition of not remarkable affecting the image quality of the document image. The realization of the invention greatly reduces the workload of document image denoising processing, and the ...

Method for recommending problem based on probability latent semantic analysis

The invention discloses a recommended method for analyzing the latent semantic problem based on the probability. The method describes the interest of a user through a state model in the latent semantic analysis on the probability and provides the compatible problem recommendation for the user interactive type question-answering system. The method adopts a ternary state model, has the advantages of two recommended ways based on the content and collaborative filtering, performs problem recommendation according to the personalized information of the user, and has high accuracy and good applicability in the user interactive type question-answering system.

Method for constructing webpage crawler based on repeated removal of news

The invention relates to a method for constructing a webpage crawler based on the repeated removal of news, which comprises the following steps: constructing an analyzer for analyzing news webpages; constructing a news set; setting a threshold value of the similarity among the webpages; comparing the currently grabbed news webpage with the news set and judging whether the similarity is higher than the threshold value or not; if the similarity is lower than the threshold value, adding the current webpage into the news set; if the similarity is higher than the threshold value, discarding the news and grabbing the next webpage; grabbing a URL of the current webpage and judging whether the URL points at the news webpage or not, if so, judging whether the URL is accessed or not; otherwise, discarding; if the URL is accessed, discarding the URL; if the URL is not accessed, storing the URL into a queue to be accessed; sequentially extracting the URL from the queue to be accessed to access; and ...

Product attribute excavation method of non-structured text

The invention discloses a product attribute digging method in a destructuring text, comprising: performing Chinese participle and part-of-speech tagging on the destructuring text, then performing associate rule digging on the nouns to dig coarse attributes of the product, then filtering adopting the method based on a search engine, obtaining true product attributes, which is sorted according to occurrence frequency. Recall ratio, precision ratio and F value index of the product attribute digging in the destructuring text are excellent and range of application is wide.

Individual network news recommending method based on multitheme tracing

The invention relates to an individual network news recommending method based on multitheme tracing, which comprises the following steps: obtaining a news webpage browsed by a user and dividing the news webpage into a plurality of user interest submodels; dynamically updating a multitheme interest model of a user according to the condition that whether the user reads a news report recommended by the interest submodels or not; judging whether the quantity of the interest submodels exceeds a preset threshold value, if so, searching and deleting the interest submodel which is farthest from the interest of the user; searching the maximal similarity between news to be recommended and all the interest submodels; calculating sequencing values of the news report and sequencing the sequencing values from the large value to the small value; and recommending a sequenced news list to the user. The invention can cover various interest characteristics of the user and has the advantages of high recommending ...

Method of H.264 quick motion estimation based on multi-reference frame

Quick processing method of keynote translation and reducing image noise

Color control method based on main component analysing

Method for fusing wireless sensing network operating system inner core

The invention discloses a method inosculating the wireless sensing network operating system inner cores. A scheduling agent module receives tasks of the target operating system, regulates the data types of the tasks, adding priority and scheduling algorithm, transmits the tasks to a base operating system, and completes the scheduling and operation of the tasks; the interrupt hook module entrance is embedded in the hardware driver of the target operating system, so that the implementation of the disruption response function is shifted in the interrupt hook module, according to the priority of the interruption number, the interrupt numbers and interrupt entrance address are inserted into the interrupt scheduling system of the base operating system to schedule and implement; hardware virtual and clock frequency dividing are used, the timer of the bottom layer operating system simulates a hardware clock for the target operating system, and simulates all registers of the hardware clock counter ...

Optimization method of MPEG4 video coding for improving cache hit rate

The invention discloses an optimization method of MPEG4 video coding for improving cache hit rate. The optimization method of video coding makes a certain adjustment to the coding process of P frames and can improve the cache hit rate of the coding process, thus greatly accelerating video coding, and simultaneously obtaining optimized peak signal to noise ratio and code rate. The method is easy to be realized by software, is applicable to platforms (such as embedded platforms) with insufficient on-chip memory and cache with limited size, and can be applied in various fields needing to process multimedia data in real time.

Cooperation method for intelligent perception appraisement in graphic pattern cooperated design under distributed environment

The invention discloses a collaborative method for an intelligent perception evaluation of a pattern collaborative design under the condition of distribution. Firstly, the invention exacts a parameter of facial expression perception by tracing the key position in a face, then the captured parameter is evaluated and classified by an intelligent method (machine learning) based on statistics, and an efficiency description is obtained by an algorithm of overall coordination efficiency through an evaluation of each user. Finally, data of coordination efficiency is visualized through a dynamic collaboration area. In the invention, perception information is used efficiently, and the coordination efficiency is displayed to the user in real-time, and voice noise and video noise of traditional collaborative assistant are avoided and the collaborative efficiency is increased.

Automatic elimination method of artifact generated in face image synthesis

Program ¿Cclass operating system debug method based on serial mode excavation

The invention discloses a program-level operating system debugging method based on sequential pattern mining, comprising the following steps: to find all the frequent system calling sequential patterns through sequential pattern mining; to compute all the parameters in a hidden Markov model to identify abnormal system calling sequences. The method makes use of the sequential pattern mining method to carry through pattern mining to the system calling sequence set in the desktop operating system to find all the frequent sequence set, and also makes use of the frequent sequence set to train the hidden Markov model so as to eventually identify the abnormal system calling sequences through the Markov model to accurately and quickly target the bug location of the entire desktop operating system to help the user to improve the operating system.

Image clustering method based on manifold sparse coding

The invention relates to an image clustering method based on manifold sparse coding, which comprises the following steps: acquiring all images to be clustered, forming a data matrix with all the images, and acquiring the scale invariant feature transform (SIFT) characteristic in each image; constructing a data dictionary B, and using the data matrix X to learn the data dictionary B and the manifold sparse coding S of the images; and using a K-means clustering method, calculating the distance between the images by the Euclidean distance, presetting the distance threshold between the images, clustering the images of which the distance between the images is less than the preset distance threshold, and finally displaying the images by category. The method of the invention has the advantage ofimproving the image clustering performance.

Method for constructing webpage crawler based on repeated removal of news

The invention relates to a method for constructing a webpage crawler based on the repeated removal of news, which comprises the following steps: constructing an analyzer for analyzing news webpages; constructing a news set; setting a threshold value of the similarity among the webpages; comparing the currently grabbed news webpage with the news set and judging whether the similarity is higher than the threshold value or not; if the similarity is lower than the threshold value, adding the current webpage into the news set; if the similarity is higher than the threshold value, discarding the news and grabbing the next webpage; grabbing a URL of the current webpage and judging whether the URL points at the news webpage or not, if so, judging whether the URL is accessed or not; otherwise, discarding; if the URL is accessed, discarding the URL; if the URL is not accessed, storing the URL into a queue to be accessed; sequentially extracting the URL from the queue to be accessed to access; and ...