73results about How to "Resolve confusion" patented technology

Techniques for positioning participants of a conference call in a three dimensional (3D) audio space are described. Aspects of a system for positioning include a client component that extracts speech frames of a currently speaking participant of a conference call from a transmission signal. A speech analysis component determines a voice fingerprint of the currently speaking participant based upon any of a number of factors, such as a pitch value of the participant. A control component determines a category position of the currently speaking participant in a three dimensional audio space based upon the voice fingerprint. An audio engine outputs audio signals of the speech frame based upon the determined category position of the currently speaking participant. The category position of one or more participants may be changed as new participants are added to the conference call.

The invention discloses a Pinyin check system with identification of confusable spellings, which comprises a file storage space and an index storage space, wherein the file storage space comprises a word stock storage unit, a Chinese character Pinyin storage unit and a Chinese character confusable spelling storage unit, and a Pinyin check processing unit comprises a Chinese character Pinyin index processing sub-unit, a word stock Pinyin index processing sub-unit and a Chinese character confusable spelling index processing sub-unit. Additionally, the invention further provides a method for checking Pinyin, which comprises steps of (1) setting the word stock storage unit, the Chinese character Pinyin storage unit and the Chinese character confusable spelling storage unit, (2) receiving keywords input by users, searching corresponding spelling in the Chinese character Pinyin storage unit, (3) receiving the spelling sent by the Chinese character Pinyin storage unit, and searching corresponding confusable spelling in the Chinese character confusable spelling storage unit, (4) respectively receiving spelling provided by the step (2) and the step (3), and searching corresponding words in the word stock storage unit. The invention increases accuracy of inputting Chinese character.

The invention relates to a closed-loop detection method for indoor scene recognition. The closed-loop detection method comprises the following steps that: a current scene image is collected, the FAST algorithm is utilized to extract the feature points of the current scene image, and the LSD algorithm is utilized to extract the feature lines of the current scene image; the ORB is adopted to generate the descriptor vectors of the feature points, and the BRLD is adopted to generate the descriptor vectors of the feature lines; the K-means clustering algorithm is adopted to cluster all the descriptor vectors to generate a visual vocabulary, and the BOW vector of the current scene image is generated by using the visual vocabulary; and the similarity of the BOW vector of the current scene image and the BOW vector of a stored historical scene image is calculated, the consistency of the current scene image is detected, so that whether a closed loop occurs on the current scene image is judged. According to the closed-loop detection method of the invention, the feature lines are additionally adopted in closed-loop detection, sites which have been visited are identified in an indoor environment where feature points are scarce; and since most of feature lines in the indoor environment scene are static, and after the feature lines are introduced, influence on the closed-loop detection algorithm by the change of dynamic objects in the scene is small, and the problem of scene confusion can be better solved.

The invention is applicable to the field of three-dimensional scanning technologies, and provides a three-dimensional scanning system and a three-dimensional scanning method. The three-dimensional scanning system comprises three-dimensional scanning equipment, control equipment and a rotary platform; the rotary platform is controlled by the control equipment to drive a to-be-scanned object to sequentially rotate by a circle according to a preset rotation angle; the three-dimensional scanning equipment is used for acquiring three-dimensional information of the to-be-scanned object under the control of the control equipment after the rotary platform forwardly rotates by the preset rotation angle in each procedure, so that a plurality of groups of three-dimensional scanned data can be acquired; the control equipment comprises a three-dimensional model acquisition unit and is used for sequentially registering and fusing the multiple groups of three-dimensional scanned data, so that a complete three-dimensional model of the to-be-scanned object is obtained. The three-dimensional scanning system and the three-dimensional scanning method have the advantages that artificial participation and artificial labeling registration auxiliary processing are omitted, so that the three-dimensional information of the object can be collected automatically, and the scanning efficiency and the registration accuracy are obviously improved as compared with an existing manual operation technology.

The invention discloses a method for finely classifying polarized SAR images based on Freeman entropy and self-learning. The problems that in existing supervised classification, surface feature labels are difficult to obtain, and shadow regions and mixing scattering regions are difficult to distinguish are mainly solved. The implementation process of the method comprises the steps that (1) eigenvalue decomposition is carried out on a polarization coherence matrix to obtain three characteristic values; (2) decomposition is carried out on a polarization covariance matrix to obtain three kinds of scattered power; (3) characteristic vectors are input according to the three characteristic values and a volume scattered power structure; (4) spectral clustering is carried out on the input characteristic vectors of random sampling points; (5) SVM classification is carried out according to the sampling points and the clustering marks of the sampling points; (6) MRF iteration is carried out on a classification result; (7) spectral clustering is carried out on wrongly-classified pixel points, and the fine classification surface feature categories of the polarized SAR images is obtained. Compared with an existing SAR image classification method, the method does not need manual label defining, the classification result is more precise, and the method can be used for target detection and classification recognition of the polarized SAR images.

The invention provides a method and a device for sending and receiving non-competition-based random access response messages, wherein the method for sending the random access response messages to user terminals in a base station comprises the following steps: receiving non-competition-based random access lead codes coming from multiple user terminals and randomly accessed through a cell; and adopting an optimized random access response message format to send optimized random access response messages accessed in the cell to the user terminals, wherein the optimized random access response messages comprise timing advanced messages, and the optimized random access response message format utilizes padding bits in traditional random access response messages and adopts an indicator to distinguish RAP (Rrandom Access Response) information or real filling information, or utilizes media access control elements to send the non-competition-based random access response messages of the user terminals, which are accessed randomly through the cell.

The invention discloses a self-adaptive coding/decoding method and a self-adaptive coding/decoding device. The coding method comprises the following steps: receiving relevant application information to be coded, reading a message structure of the relevant application information and obtaining relevant information of AVP; searching a regenerated run-time encoding table according to the relevant information of the AVP and obtaining AVP configuration information corresponding to the relevant information of the AVP; carrying out legality validation on the relevant information of the AVP according to the AVP configuration information; and organizing and generating a Diameter message code stream according to the relevant application information and the relevant information of the AVP when the relevant information of the AVP is legal. By adopting the method, the separation is realized through coding and decoding configuration data and specific application interfaces, the protocol expansibility is increased, and meanwhile, the run-time encoding table can be dynamically obtained and adjusted so as to satisfy the demands of different operators, different application interfaces and the like.

The invention discloses a pedestrian tracking method of a single camera. The method adopts a hierarchical tracking strategy. Firstly, detection targets are linked into stable and reliable short segments of movement tracks, and then a final tracking track is formed by matching the short segments of the movement tracks and filling blank segments between the short segments of the movement tracks. The hierarchical tracking strategy helps solve the problem of track interruption caused by short time of blocking of pedestrians in the tracking process. In the constructions of the short segments of the movement tracks, the method proposes a two-step matching method based on a cascading idea. Firstly, a high-efficient histogram matching method is used to deal with a condition of small matching difficulty, and then a robust sparse representation classifier is adopted to solve the aliasing problem caused by target apparent similarity. In the matching of the short segments of the movement tracks, a method of trajectory distance measurement based on sparse representation is proposed, which has the preferable robustness to the apparent change of target caused by environment change and target deformation. Furthermore, a track matching method, with small computation, based on hierarchical clustering, is also proposed, thereby improving the efficiency of the global multi track matching.

The invention relates to a cross-scattering model-based polarization radar remote sensing image urban target decomposition method. The method includes the following steps that: a PolarSAR image single-view polarization scattering matrix is converted into a polarization covariance matrix or a polarization coherence matrix; a PolarSAR image pixel polarization azimuth is calculated on the basis of the polarization covariance matrix or the polarization coherence matrix; the cross-scattering model of a building is constructed on the basis of the polarization azimuth and a dihedral angle reflector;a polarization target decomposition solving equation is constructed according to a surface scattering model, an even-order scattering model, a volume scattering model, a spiral scattering model and the cross-scattering model, and the scattering coefficients of each model are solved; and the scattering weighting coefficients of each model are corrected, and surface scattering power, even-order scattering power, volume scattering power, spiral scattering power, and cross-scattering power are calculated on the basis of the scattering weighting coefficients of each model, and target decompositionis completed. With the cross-scattering model-based polarized radar remote sensing image urban target decomposition method of the present invention adopted, the HV scattering of the building can be effectively described.

The invention provides a login information prompting method and a mobile terminal, wherein the method comprises the steps of: receiving a first input of a user on a login interface; acquiring a firstlogin screenshot in response to the first input, wherein the first login screenshot carries the login information corresponding to the login interface; and displaying the login information according to the first login screenshot. The invention solves the problem that in the existing mobile terminal, various accounts and passwords are easily forgotten or confused by the user due to the large numberof applications and websites.

The invention relates to a manufactured sand production process, in particular to a high-quality manufactured sand production process with a sand grinder and dry-method centrifugal powder removal andclassification. The high-quality manufactured sand production process with the sand grinder and dry-method centrifugal powder removal and classification comprises 19 working procedures such as mining,manufacturing sand, shaping, removing powder, classifying, modulating and grading. The process can be used for manufacturing manufactured sand for concrete in C50 and above. A Germany produced RPM sand manufacturing machine is adopted, and a horseshoe gap is adjusted appropriately, so that elongated and flaky manufactured sand is reduced; by adopting an assembly line work sand grinder, edges andcorners of the manufactured sand can be eliminated, the concrete flowability is improved, and the strength is stable; and by adopting a dry-method centrifugal constant linear velocity rotary table, powder is removed and is classified in to six grades according to the standard, and modulation and reasonable grading are carried out, so that the defects of high mud powder content and incomplete grading of wet-method washed-out sand are overcome. The production process is scientific, reasonable, economical and applicable, solves the technical problem that high-quality manufactured sand is in severe shortage in the market since natural sand is restricted due to environment protection in the process of using the manufactured sand for producing the concrete in C50 and above, and fills a technicalgap in the domestic building industry.

The invention discloses a random access response sending method and system. The method includes: configuring an uplink carrier in a FDD cell configured with a pair of FDD carriers and an uplink carrier of the at least one different frequency point, and configuring an uplink carrier for the user equipment UE supporting the cell, and carrying, in the configuration information of the uplink carrier,each allocated for the UE The identifier of the uplink carrier; when the UE sends the PRACH on the configured one of the uplink carriers, and the uplink carrier corresponds to the PDCCH search space in the control domain on the downlink carrier that is unique to the FDD cell, determining according to the identifier corresponding to the carrier The RA-RNTI corresponding to the PRACH, and after transmitting the PRACH, detecting the RA-RNTI scrambled PDCCH in the PDCCH search space in a RAR detection window, and if the corresponding RA-RNTT scrambled PDCCH is detected, according to The downlink control information DCI on the PDCCH receives the PDSCH. With the present invention, the problem that the RA-RNTI corresponding to the PRACH on different uplink carriers is confused in the FDD cell inwhich the uplink carriers of the pair of FDD carriers and the at least one inter-frequency point are configured can be solved.

The invention discloses a hand posture estimation method and device, a computer device and a storage medium. The method comprises the following steps: performing depth difference calculation on a depth image to obtain a foreground mask image; processing the foreground mask image to obtain an input image; enabling the trunk branch to perform convolution layer processing and pooling processing on the input image to obtain a main feature map; enabling the classification branches to judge whether the main feature map is a right-hand image or a left-hand image according to features of the main feature map; under the condition that the classification branch judges that the main feature map is a left-hand image, inputting the main feature map into a left hand branch; under the condition that theclassification branch judges that the main feature map is a right-hand image, inputting the main feature map into the right hand branch; calculating the normalized three-dimensional coordinates through the left hand branch or the right hand branch, and outputting the three-dimensional coordinates of the hand joint point through the coordinate conversion formula; according to the invention, the problem of left-right hand confusion or joint point prediction failure is solved, and the recognition accuracy of the normalized three-dimensional coordinates of the hand is improved no matter for the left hand or the right hand.

The present invention belongs to the detection equipment technology field, and discloses a microscope laboratory system. The microscope laboratory system comprises an image sensing unit to which the light rays reach via a lens; an A/D conversion unit used for converting an electric signal transmitted by the image sensing unit into a digital signal; a DSP unit used for converting the digital signal transmitted by the A/D conversion unit into a digital image and transmitting to a storage unit; the storage unit used for storing the digital image processed by the DSP unit; a controller used for adjusting the focal length of the lens when the image sensing unit measures; a sensor used for obtaining the information of the image when the image sensing unit measures. According to the present invention, the automatically acquired image can be displayed on a special-purpose display real-timely, thereby improving an intuitional problem; the storage unit image identification solves an image confusion problem in the prior art, and the miscellaneous signals that cannot be something else are filtered, thereby guaranteeing the purification of the image.

The invention provides a Linux platform based automatic counting method for test progress. The method is characterized by comprising the follow steps: S1, recording project test state information through scripts; S2, summarizing the project test state information, and outputting a format file finish.txt; S3, reading and writing finish. txt, acquiring project test state progress in real time, and automatically counting the project test progress; S4, feeding back the project test progress to a control center server in real time. The test progress of the project is displayed through acquisition and collection of the information by the script and the print format form of the information, and the real-time acquisition function of the test project progress is achieved. Meanwhile, the acquired information is more accurate, and the problem of confusion of many test content during report of personnel is solved.

The invention discloses an abnormal event-oriented relationship extraction method, which comprises the following steps of: arranging an entity relationship data set related to an emergency according to a structured triad form, and converting statements in related fields into vectorized expressions; constructing a shared coding layer by using a bidirectional long-short-term memory network in combination with a self-attention mechanism; predicting the annotation of the main entity by using a softmax function, performing shared coding on the relational customer entity by using a convolutional neural network, and enhancing coding representation through a prediction result of the main entity; and optimizing the training parameters by using the self-attention mechanism again. A conflict problemof multiple pairs of entities and relationship categories in the emergency text can be well solved, and the extraction quality of the text entity relationship in the field can be improved.

The invention relates to a system and a method for multi-terminal automatic evaluation of enterprise safety management capability. The method comprises two large classes of indexes about machine-material and people-process-environment, wherein for the machine-material class of indexes, a weight is determined by historical data through a variable coefficient, and a total value is determined by iterating with a multiplier reinforcing process; for the people-process-environment class of indexes, a weight is determined by a target optimizing matrix, a total value is determined by exponential weighting multi-stage fuzz evaluation, a B/S evaluating system is built based on an algorithm, system terminals comprise a mobile phone, a computer, special evaluating equipment and the like, results are automatically evaluated and converted into a centesimal system by the system, and the results are sent to a user through a mail, a message, WeChat and QQ. Compared with the prior art, the system and the method have the advantages that the use of different algorithms for the machine-material class of indexes and the people-process-environment class of indexes is favorable for scientific and just evaluation, abnormal values are highlighted by the algorithm for the machine-material class of indexes, and the algorithm for the people-process-environment class of indexes reflects opinions from all parties and weakens abnormal value effects; system automatic calculation and multi-terminal evaluation push are adopted in evaluation, and the defects of difficult evaluation, difficult calculation and the like can be overcome.

The invention discloses an improvement method for entity links in simple questions and answers based on a knowledge graph. The invention belongs to the technical field of natural language processing.The improved method includes the steps: establishing a central server and a problem input client; establishing an entity detection module, an entity candidate set module, a knowledge graph retrieval module and an entity matching module in a central server; detecting problem data, establishing entity candidate sets, encoding problem data, enabling entities in an entity candidate set to be subjectedto three-level coding; and selecting n entities with the highest matching scores with the problem data from the entity candidate set. By adopting a unique problem coding mode, the invention providesa method for coding entities at three levels, fully utilizes the type information and name information of the entities, and effectively solves the problems of entity confusion and OOV in combination with the problem coding mode.

The invention relates to a college and university innovation ability and entrepreneurial ability sorting method based on fuzzy clustering. The method comprises the steps of building a data matrix, calculating a fuzzy similar matrix, and analyzing and obtaining fuzzy clustering, and therefore the college and university innovation ability and entrepreneurial ability are evaluated and analyzed. Compared with the prior art, the college and university innovation ability and entrepreneurial ability sorting method based on fuzzy clustering has the significant advantages that the problems that semantic ambiguity and confusion occur when the college and university innovation ability and entrepreneurial ability are analyzed can be effectively solved, the affinity-disaffinity relation of samples is quantificationally determined through the mathematical method, and therefore objective sorting is achieved. A clustering result obtained through fuzzy clustering analysis based on the fuzzy equivalence relation can conform to the objective laws better.

Embodiment of the present disclosure relates to resolving physical cell identity confusion in heterogenous networks. In one embodiment, a method is disclosed, comprising: receiving a handover requestincluding a first physical cell identity of a first target base station [120A]; comparing the first physical cell identity with a neighbor list comprising the first physical cell identity of the firsttarget base station [120A] and a second physical cell identity of a second target base station [120B]; transmitting an identifier of an access point [130A, 130B, 130C, 130D] to the first target basestation base stations [120A] and the second target base station [120B]; and analyzing response messages received from each of the first target base stations [120A] and the second target base station [120B] for performing a handover from a serving base station [102] to one of the first target base station [120A] and the second target base station [120B].

The invention designs a set of high-resolution remote sensing image non-permeable surface identification method around measurement restoration of a shadow area on a high-resolution remote sensing image, land type interpretation and refined urban non-permeable surface identification: 1, aiming at the problem that urban non-permeable surface identification has uncertainty due to shadows generated by tall buildings and crowns on the image, the method is provided for the purpose of identifying the urban non-permeable surface; a high-resolution remote sensing image shadow measurement and restoration method oriented to a non-permeable surface is provided, PCA transformation and HIS transformation are introduced to obtain multiple spectral features, recognition measurement of a shadow area is achieved, and restoration of the city shadow area is achieved based on blue band component suppression and HSI space restoration; and secondly, in order to better obtain a city impermeable surface recognition result and analyze the influence of setting of different segmentation factors and parameters on impermeable surface recognition, a multi-decision tree combined classifier is adopted, object-oriented impermeable surface refined recognition is realized, the impermeable surface recognition accuracy is 96.38%, and a powerful guarantee is provided for research and application of the impermeable surface.

The invention, which belongs to the technical field of self-service terminals, relates to an intelligent self-service petition platform. An identification system, a self-service petition system, a queuing calling system and a reception room dispatch mediation system. An identity card OCR recognition unit, a living body detecting unit, an official identity information acquisition unit, and a face recognition unit are arranged in the identification system; and the identity card OCR recognition unit scans an identity card through a magnetic induction bayonet. Therefore, phenomena of inconsistencyof the person and the identity card, common trouble shooting, window queuing, congestion and confusion in the Bureau for Letters and Calls during the petition reception process are avoided; the petition work is performed in order; and identity card information of the visitor can be registered automatically.