1151 results about "Information quantity" patented technology

Channel state information (CSI) can be used by a communications system to precondition transmissions between transmitter units and receiver units. In one aspect of the invention, disjoint sub-channel sets are assigned to transmit antennas located at a transmitter unit. Pilot symbols are generated and transmitted on a subset of the disjoint sub-channels. Upon receipt of the transmitted pilot symbols, the receiver units determine the CSI for the disjoint sub-channels that carried pilot symbols. These CSI values are reported to the transmitter unit, which will use these CSI values to generate CSI estimates for the disjoint sub-channels that did not carry pilot symbols. The amount of information necessary to report CSI on the reverse link can be further minimized through compression techniques and resource allocation techniques.

A World Wide Web-based melody retrieval system takes a sung melody as a query and retrieves the song's title or other information from a music database over a WWW network which comprises a method of obtaining search clues with the maximum quantity of information from pitch and span (dynamic threshold determination) and a method of effectively reducing the number of answer candidates (coarse-to-fine matching), thus increasing the matching accuracy, and it is characterized in that a user can retrieve music or media with music by singing.

The invention discloses a domain-knowledge-based short text classification method and a domain-knowledge-based short text classification system used in the technical field of information. The method is used for overcoming the defect that the traditional text classification method cannot well classify short texts. Aiming at the characteristics that the short text description concept signals are relatively weak and the text features are seriously insufficient, the invention provides the short text data classification method and the text classification system suitable for commodity web page data. According to the embodiment, a commodity classifier with excellent classification effect is obtained by reforming the traditional classifier, introducing new elements and devoting to matching application of algorithm and data. The introduction of the new elements comprises the following steps of: introducing a concept of domain words and introducing the concept into the classifier so as to effectively increase the information quantity of the short texts; and performing different-lexical-item-set-based semantic analysis on the short text data, particularly the web page commodity data, and introducing the semantic analysis result into the classifier so as to introduce new information for the commodity data information and improve the accuracy of text classification.

In a picture coding apparatus and a picture coding method, when a picture data is hierarchically coded, compression efficiency can be improved, and the deterioration of picture quality can be reduced. When a picture data is hierarchically coded by utilizing a recursive hierarchical representation, adaptive division of block is performed corresponding to the characteristic of the picture data and then coding is performed, and thus obtained hierarchical coded data is transmitted, so that the block of the lower hierarchy can be adaptively divided, thereby the information quantity such as a plane portion of picture can be reduced.

The invention provides a method for screening images without mosaic or with little mosaic, and a system thereof; a method for screening clear images and a system thereof; and a method for screening images and a system thereof. The method for screening video images comprises the following steps of: converting the video images into gray scale images, filtering monochrome images; screening the images without mosaic or with little mosaic by the method for screening the images without mosaic or with little mosaic; calculating information entropy of the screened images in order to screen the images with more information quantity; dividing golden visual regions of the screened images in order to calculate marginal density of each region and obtain the marginal density ratio of the images; respectively calculating normalized marginal gradient values of the screened images; and calculating the weighting sum of the marginal density ratio and the marginal gradient values, and screening the video images with the maximum weighting sum. The method and the system provided by the invention can conveniently and fast screen the video images satisfying the needs, improve the screening efficiency, be good for searching and screening the video files, and improve loyalty of users to access the website.

A system and method for adaptively controlling feedback information according to a loading condition of a communications cell is provided. A method comprises receiving an indication from a base station, computing an amount of feedback information to transmit back to the base station using the indication, locating a feedback resource assigned to the mobile station using the amount of feedback information and an identity of the mobile station, computing a feedback information, and transmitting the feedback information using the located feedback resource. The indication is for a set of candidate transmission formats that is based on loading conditions in the cell.

The invention discloses a clustering method for the in-vehicle Ad hoc network based on the signal strength, and provides a network clustering and maintaining method which starts with the vehicle directional information, and enables the vehicles running along the same direction to participate in the process that the same cluster is formed and maintained. After a node is initialized, tentative cluster-heads are established among the vehicles running along the same direction, neighbor linked lists are formed in the two-hop range of the tentative cluster-heads, the node which has the maximum nodal connection signal strength is a cluster-head node, and other nodes are common nodes or gateway nodes of the cluster; the maintenance process is based on the vehicle directional information and the nodal connection signal strength. As considering the vehicle directional information and the nodal connection strength signal, the invention has the advantages that the in-vehicle Ad hoc network clustering structure is stable by comparing with other methods under the urban traffic environment, the node alternating times and the clustering related control information quantity are less, the problem that the in-vehicle Ad hoc network performance is low under the urban traffic environment is solved, the cluster service life is prolonged, and the network state is improved.

A transformer operating state comprehensive evaluation method based on on-line monitoring comprises the following steps that monitoring various state indexes of a transformer in an on-line mode and conducting quantitative processing; determining the weights of evaluation indexes by combining improved analytic hierarchy process and grey correlation analysis; evaluating the state of the transformer. According to the transformer operating state comprehensive evaluation method based on on-line monitoring, the state of the transformer is combined to evaluate correlation function operation and membership degree process of the indexes, a transformer state comprehensive evaluation model based on combination of combination weighting approach and a fuzzy grey element is established, various on-line detecting state information quantities can be synchronized, the operation state of the transformer can be effectively and accurately judged in a comprehensive mode, an evaluation result is intuitive, and the method is used for instructing practical overhaul arrangement work of the transformer.

The invention relates to a wavefront measuring method based on a Hartmann wavefront sensor. According to the method, light spot array images detected by an array type photoelectric detector in the Hartmann wavefront sensor are used for obtaining the intensity distribution information of each light spot and the mass center position offset relative to the calibration time, the inclination aberration information of a sub wavefront in the corresponding sub aperture can be obtained according to the mass center offset, the high order aberration information of defocusing, astigmatism and the like ofthe sub wavefront in the corresponding sub aperture can be obtained by a phase inversion algorithm according to the intensity distribution information of the light spot, the inclination aberration information and the high order aberration information are combined to form sub wavefronts, and finally, all sub wavefronts are reconstructed by a wavefront reconstruction method or a wave surface split joint method for forming the whole aperture wavefront information. The method has the advantages that the light spot dispersion distribution information which originally puzzles the light spot mass center calculation is utilized, more information quantity of the sub wavefronts in the sub aperture is obtained, the wavefront detection precision of the Hartmann wavefront sensor is favorably improved,or the requirement on the aperture number is favorably reduced.

The invention discloses an abstract generation method and apparatus, and a computer device, and belongs to the field of natural language processing. The method comprises the steps of obtaining a document D, wherein the document D comprises at least one sentence; extracting m candidate sentences from the document D through an extractive model; and outputting target words according to the m candidate sentences through a generative model, and according to the target words, generating an abstract. Firstly the m candidate sentences suitable to serve as the abstract are extracted through the extractive model, so that the text sequence length needed to be processed by the generative model is reduced; then the target words are generated or extracted according to the m candidate sentences through the generative model; and the abstract of the document is synthesized according to the target words, so that the readability and information quantity of the finally generated abstract are improved.

The invention relates to a capacitive touch screen for improving the edge touch sensitive accuracy and a method for eliminating edge effect by compensating coordinate data of a touch position. The touch screen comprises plate electrode groups in the same plane or belonging to different planes, and under normal working conditions, the plate electrode groups form equivalent capacitance arrays by mutual orthogonal of rectangular strip-shaped equivalent plate electrodes in the plane of the touch screen. The width of the equivalent plate electrodes positioned at the edge of the touch screen in theequivalent capacitance arrays is smaller than the width of the equivalent plate electrodes which are positioned in the middle of the touch screen and arranged along the same direction of the equivalent plate electrodes. The invention reduces the width of the equivalent plate electrodes at the edge, increases the information quantity retrievable by the touch action on the edge of the touch screen,improves the sensitivity of the edge of the touch screen, reduces the error of center coordinate data, and solves the problem of edge effect of the touch screen; and in addition, by applying the method for compensating the coordinate data of the touch position provided by the invention, the touch accuracy at the edge of the touch screen is further improved.

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 out sponsored search bidding for the suggested keywords, thus the related click rate of the sponsored advertisement can be effectively enhanced, and the advertisement benefit is increased.

Provided is a multicarrier communication apparatus by which information quantity of CQI reporting can be reduced. In the apparatus, each CQI is recorded in a CQI table section (122) by being classified into a plurality of CQI groups by following a certain rule. A CQI selecting section (123) estimates fluctuation range and variance of reception qualities of the entire resource block to be reported, based on an SINR value outputted from a quality level calculating section (121). Then, based on the estimated values, the CQI selecting section selects a suitable CQI group in a first step, selects a suitable CQI value from among the CQIs included in the selected CQI group in a second step, and outputs the ID of the selected CQI group and the selected CQI value to a CQI generating section (124) . Based on such information, the CQI generating section (124) generates a CQI frame to be transmitted to a base station.

The invention discloses a video human body interaction motion identification method based on an optical flow graph depth learning model. The method mainly comprises steps that step 1, deframing of a test set video and a training set video is carried out, an optical flow sequence graph is calculated through utilizing two adjacent frames; step 2, the optical flow sequence graph is pre-processed, and optical flow graphs with relatively few information quantity are deleted; step 3, a residual error neural network is trained through utilizing the training set optical flow sequence acquired in the step 2, the test set and training set optical flow graph sequences are taken as input, and spatial domain characteristics are acquired; step 4, a long and short memory model is trained through utilizing training set characteristics, test set characteristics are inputted to acquire each type of probability output; and step 5, a classification result is acquired through employing voting model statistics. The method is advantaged in that relevant patent blanks are filled through utilizing the depth learning model to carry out human body motion identification, identification accuracy is high, and the method is applicable to multiple occasions.

A video coding device includes: a detecting unit configured to detect a foreground region, a background image and a shadow region reflected on the background image by the foreground region in an input picture; a shadow information compressing unit configured to perform a compression process to compress the information quantity of the shadow region; and a coding unit configured to code the foreground region, the background image and the information on the shadow region subjected to the compression process.

The invention discloses a method of sending a data package and incidentally sending a reverse interest package in content center network. The method includes the following steps : step 1, sending the interest package to the network to by a user A show that the user A is interested in the content; step 2, an intermediate node dealing with a request when the intermediate node in the network receives the interest package; step 3, combining a response data package and the interest package which needs to be requested by the user A to form a mixed data package by a user B when the user B wants to send a data request to the user A; step 4, the intermediate node splitting the mixed data package into a data package and a reverse interest package when the intermediate node in the network receives the mixed data package and respectively dealing with the data package and the reverse interest package; step 5, splitting the mixed data package by the user A when the user A receives the mixed data package, receiving the data package and delivering the data package to primary requested program, and meanwhile responding to the interest package by the user A and producing a corresponding data package. The method of sending the data package and incidentally sending the reverse interest package in content center network reduces transmission times of the package and improves information quantity and efficiency in once transmission.

The invention relates to a vehicle color recognition method based on area discrimination. The detected complete vehicle image is used as input, a deep learning algorithm framework is adopted, and the color type of a vehicle under recognition is outputted through processing of various steps of vehicle color area discrimination, vehicle color feature extraction and vehicle color judgment, wherein vehicle color area discrimination refers that a main clue area, an auxiliary recognition area and an unrelated area of color recognition in the complete vehicle image are discriminated according to the color information quantity, and the vehicle color features are respectively extracted through accurate detection of the areas so as to realize accurate recognition of the vehicle color. The complete vehicle image is divided into the main clue area, the auxiliary recognition area and the unrelated area of color recognition, the unrelated area is eliminated in the recognition process, and the vehicle color is recognized through combination of the features of the main clue area and the auxiliary recognition area so that the accuracy of vehicle color recognition under a complex monitoring scene can be enhanced.

The invention discloses a federated learning computing unloading resource allocation system and a method based on a cloud side end, and aims to make an accurate decision for computing task unloading and resource allocation, eliminate the need for solving a combinatorial optimization problem and greatly reduce the computing complexity. Based on cloud side three-layer federated learning, the adjacent advantage of edge nodes to a terminal is comprehensively utilized, core powerful computing resources in cloud computing are also utilized, the problem that the computing resources of the edge nodes are insufficient is solved, a local model is trained at each of multiple clients to predict an unloading task. A global model is formed by periodically executing one-time parameter aggregation at an edge end, the cloud end executes one-time aggregation after the edge executes the periodic aggregation until a global BiLSTM model is formed through convergence, and the global model can intelligently predict the information amount of each unloading task. Therefore, guidance is better provided for calculation unloading and resource allocation.

The present invention relates to a system and a method for video instant communication. The system comprises a sending terminal (100) and a receiving terminal (200), the sending terminal (100) comprises a video receiving module, a face detection module, a face tracking module, a coding module, and a network communication module, and the coding module codes face information in a video sequence through a first coding algorithm, and codes inhuman face information through a second coding algorithm. The present invention applies the face recognition technology, the face detection technology, and the face tracking technology in the video instant communication, the face information and the inhuman face information adopt different coding algorithms, the information quantity is effectively reduced after being coded, and a band width is reduced; further, the inhuman face information can also be discarded, the operation quantity of the band width is further reduced, and the quality of the video communication is increased; the face information can also adopt the special algorithm, the face information is highlighted, and the user experience is increased.

The invention provides a Chinese business card OCR (optical character recognition) data correction system utilizing massive associated information of a knowledge base. The Chinese business card OCR data correction system comprises an image collection module, an image standardized processing module, a block extracting module, an OCR module, a knowledge base module, a data correction module, a gain maintaining module and a result displaying module. The system is characterized in that to-be-corrected data are labeled by subjecting recognition results of the OCR module to information structuralized processing; address and organization name associated information is corrected by utilizing the massive associated information of the knowledge base module and combing a series of techniques like Chinese word segmentation, importance weighting based on the knowledge base, similarity comparison based on texts and images and information integration to improve accuracy; corrected OCR results are output and displayed. In addition, the gain maintaining module of the system performs information maintaining on the knowledge base in a semiautomatic manner to meet needs of continually-growing of information quantity.

The invention relates to a method for establishing a dynamic virtual data base in an analyzing and processing system, which comprises the following steps: (1) defining metadata; (2) constructing a dimension indexing table; (3) constructing data marts; (4) instantiating the data marts; (5) constructing and instantiating a plurality of the data marts; and (6) dynamically modeling and instantiating the virtual data base. The method collects service required data from an enterprise database, defines fields with analysis significance into the metadata, carries out dynamic modeling, dynamic extraction and conversion processing on the corresponding metadata, constructs a plurality of the data marts conforming to an analysis subject and instantiates the virtual data base so as to realize the zero storage of the data in the virtual data base, overcome contradictions between system equipment resources and continuously increased information quantities and meet the requirements of high efficiency and data real-time for a management decision database of a decider.

The invention provides a power grid fault diagnostic model and a diagnostic method thereof and belongs to the technical field of power grid fault diagnosis. A mathematical expression of the traditional fault diagnostic analytic model can be abstracted as the formula; analysis on the action state of protecting a switch is converted into description on the probability of protecting the switch; the description is information transmission uncertainty description based on an information theory; an objective function is established as an optimal solving function; mutual information between an information sink and an information source under every failure mode is calculated when multiple optimal solutions, namely multiple failure modes exist; corresponding failure modes are most likely to occur if the quantity of condition self-information is smallest; and a principle that the mutual information of the information sink and the information source is maximum is utilized to determine a fault sorting result when the plurality of condition self-information is similar. The power grid fault diagnostic model and the diagnostic method thereof have the advantages of enabling the uncertainty of fault diagnosis to be integrated in an analytic model, enabling the fault tolerance of the model to be improved and the dimension of the model to be greatly reduced, being high in diagnostic speed and diagnostic accuracy, being capable of being well applied to a scheduling terminal and playing a positive and important role in the field of the power grid fault diagnosis.

A general-purpose knowledge finding method for efficient knowledge finding by selectively sampling only data in large information amounts from a database. Learning means 104 causes a lower-order learning algorithm, inputted via an input unit 107, to perform learning on plural partial samples generated by sampling from data stored in a high-speed main memory 120, to obtain plural hypotheses. Data selection means 105 uses the hypotheses to estimate information amounts of respective candidate data read from a large-capacity data storage device 130, and additionally stores only data in large information amounts into the high-speed main memory 120. A control unit 106 repeats the processing a predetermined number of times, and stores obtained final hypotheses. A prediction unit 102 predicts a label value of unknown-labeled data inputted into the input unit 107 by the final hypotheses, and an output unit 101 outputs the predicted value.

The invention discloses a three-dimensional color laser scanning technology capable of directly acquiring color point cloud data of a target. By the technology, information quantity of acquired data and ranging accuracy of a three-dimensional laser scanner can be increased, and dependence of color image acquisition on background lighting can be overcome. According to the technology, reflectivity of a target measure point is directly acquired by a three-wavelength laser, in other words, color point information of the target is acquired directly, and dependence on daytime lighting and CCD(charge-coupled device) cameras is avoided, so that splicing errors of color image data and point cloud data are avoided, nonuniform image sharpness caused by distance change is also avoided, and all-day high-repetition-frequency long-range detection can be realized.