343results about How to "Resolve mismatch" patented technology

The invention relates to a method for extracting and identifying characteristics of an electro-ocular signal, which is characterized by comprising three stages, namely pretreatment of the electro-ocular signal, extraction of characteristic parameters of the electro-ocular signal and mode identification of the electro-ocular signal, wherein in the pretreatment stage, endpoint detection and bandpass filtering on the electro-ocular signal are carried out; in the characteristic parameter extraction stage, frame separation and windowing on the electro-ocular signal are carried out, and an electro-ocular characteristic parameter sequence changed along with time after converting the continuous electro-ocular signal into a plurality of sections of short-time electro-ocular signals is extracted; and in the mode identification stage, similarity comparison between the input electro-ocular characteristic parameter sequence and each template of a template base sequentially through a dynamic time normalization method is carried out so as to judge the corresponding eye movement of the operator. The method has the characteristics of high identification accuracy of the electro-ocular signal, certain antijamming capacity, strong application value and the like.

The invention discloses a method for enhancing a depth image of a Microsoft somatosensory device. The method comprises the following steps of: carrying out an edge detection on a color image and a depth image respectively, and obtaining a region at which an error pixel is located by using a region growing method in a mode of inputting two edge images; moving an error pixel depth value; constructing a smooth region around an invalid pixel by using the region growing method; estimating an invalid pixel depth value in the smooth region by using a bilateral filtering method; and estimating remaining invalid pixel depth values by using the bilateral filtering method so as to obtain the enhanced depth image. The invention points out that the problem that edges of the depth image and the corresponding color image are not matched is caused by error pixels for the first time, then provides a detection method for the error pixels, and can effectively fill cavity of a Kinect depth image; the problem that the edges of depth images are not matched is solved well, and quality of the Kinect depth image is improved greatly.

The present invention provides a trusted application download management, authentication, and execution method and system. A trusted application download management server according to the present invention includes a service loader, which accesses a device equipped with a trusted platform and establishes a data communication channel, and a service controller which controls the delegation of a download authority for a trusted application and allows the trusted application to be downloaded to the device when a trusted application download is requested by the device, thus totally managing the download of the trusted applications and allowing the trusted application to be securely downloaded.

The invention relates to the field of cloud computing, in particular to a method for automatic expansion of application examples of a cloud platform based on load self-adaption. The method for automatic expansion of the application examples of the cloud platform based on load self-adaption mainly comprises the steps that real-time load data are acquired from all the application examples in operation through an example load monitoring assembly; the received example load data are gathered and calculated through an application load analysis assembly so that the operating load of the application can be determined, comprehensive decision-making analysis is conducted according to the number of user access requests of the application, and then whether control over the expansion of the examples needs to be conducted or nor is determined; the number of the examples of the application is reduced or increased by calling a cloud platform API through an example control assembly. The method for automatic expansion of the application examples of the cloud platform based on load self-adaption has the advantages that the problem that according to an original Cloud Foundry source opening cloud platform, the expansion of the application examples are achieved manually is solved, and the problem that when the expansion of the application examples is conducted only according to the number of the user access requests, an expansion result can not be matched with the actual condition is also solved. The method is particularly suitable for the Cloud Foundry source opening cloud platform.

A method for calibrating coordinates of a touch screen includes the steps of: providing a display panel, which includes display coordinates along a first axis and a first axis display coordinate; providing a capacitive sensor, which includes sensing electrodes disposed along the first axis and respectively corresponding to sensing coordinates, wherein capacitive sensor has a maximum sensing coordinate; detecting digital values corresponding to the sensing electrodes when the capacitive sensor is touched; multiplying the digital values by the sensing coordinates corresponding to the sensing electrodes to obtain a weighting value; dividing the weighting value by the maximum sensing coordinate to obtain an interpolated value; and multiplying the interpolated value by the first axis display coordinate to obtain a calibrated coordinate.

A method for grouping a plurality of storage resources provided by a storage system into storage groups. Storage management software obtains storage resource configuration information set for each of a number of logical partitions in the storage system and groups the storage resources into storage groups such that the storage resource group configuration individually set for the logical partitions in the storage system matches the group configuration of the storage resources constituting the storage groups.

The invention discloses an image matching method suitable for automatically detecting the flight quality of the aerial photography. The method comprises the steps that firstly, images are preprocessed, denoising and filtering are respectively carried out on two digital images to be matched, and the two digital images to be matched are obtained with the aerial photography measuring method in the measured area and are two-dimensional images; secondly, SIFT characteristic extracting is carried out, the SIFT characteristic extraction is respectively carried out on the two digital images through a data processor, all characteristic points of the two digital images and SIFT characteristic descriptors of all the characteristic points are obtained; thirdly, a kd tree is established to carry out the bi-directional search to determine matching points; fourthly, gross error removing is carried out according to the RANSAC algorithm. According to the method, the steps are simple, design is reasonable, the achieving process is convenient, robustness and the using effect are good, and the method can effectively solve the problem that according to an existing method, matching is prone to failure matching or error matching.

The invention provides a commodity image semantic annotation method based on the domain ontology. The method comprises steps that multiple domain ontology concepts are employed as keywords to capturecommodity data; corresponding image description texts are classified based on each domain ontology concept, and category annotation of the corresponding commodity images is carried out according to the categories of the image description texts; attribute annotation of the corresponding commodity images is carried out. The method is advantaged in that correct and rapid semantic annotation of the commodity images can be realized, a problem that the commodity images do not match the description texts is solved, the partial semantic information of the commodity images in the predetermined domain can be acquired according to the concept and concept attributes of the domain ontology, semantic level annotation of the commodity images is realized, and the correct semantic annotation data set is acquired; the crowdsourcing technology is utilized to acquire the correct image annotation data, the iterative processing mode is employed to most reasonably utilize a crowdsourcing platform at the least cost, and the relatively good annotation result is achieved.

The invention provides a method for improving the imaging effect of wave equation prestack depth migration, wherein the method is used for processing seismic reflection data in seismic exploration so as to improve the application effect of the wave equation prestack depth migration. The method can be used for improving the imaging effect of the wave equation prestack depth migration by constructing the relationship of residual normal moveout between a depth domain and an angle domain and an interval velocity inversion method to directly update a migration velocity model of the wave equation prestack depth migration based on the residual normal moveout of an angle gather. Based on the relationship of residual normal moveout between the depth domain and the angle domain, the method can be used for removing the residual normal moveout, noise and stretching of a migration gather of the wave equation prestack depth migration, thereby improving the signal-to-noise ratio and resolution of a migration stack profile and improving the quality of the angle gather applied to the prestack inversion. Accordingly, the method can be used for well achieving the direct recognition of underground oil, gas or water, can be used for 2D (two-dimensional) and 3D (three-dimensional) wave equation prestack depth migration of the seismic reflection data, and has important application value for exploration of oil-gas and mineral resources.

The invention provides an electric vehicle charging / discharging system based on a photovoltaic array and an energy storage unit, wherein the electric vehicle charging / discharging system comprises the photovoltaic array which is used for converting light energy to electric energy; an energy management system which is connected with the photovoltaic array and is used for managing operation of the electric vehicle charging / discharging system; the energy storage unit which is connected with the energy management system and is used for storing the electric energy that is converted by the photovoltaic array when the output current of the photovoltaic array is higher than a preset threshold; and a charging / discharging unit which is connected with the energy management system and is used for charging the electric vehicle by the energy management system or discharging to energy management system by the electric vehicle. The electric vehicle charging / discharging system improves utilization rate of clean energy and can perform peak load shifting through the electric vehicle and an energy storage battery, thereby maximally reducing a difference between an electric power consumption peak and an electric power consumption valley of an electric network.

The present invention discloses a moving target tracking method based on an optical flow. The method comprises: collecting a video image, and performing the preparation work prior to tracking such as target selection, template definition, variable initialization and the like; calculating the similarity RateMat of the target and the template, determining whether the template is required to update or not according to the RateMat value, and if the template is required to update, the update of the template is carried out; performing shielding determination according to the RateMat value, employing a corner matching tracking method to track when the shielding happens, and employing the optical flow matching tracking method based on the technologies such as the corner position filtering, optimized contour determination, abnormal region determination and processing and the like to perform tracking; and determining whether the tracking is going on or not according to the tracking result, the tracking is end if the target position is out of the range or a target is reselected by people, or else, calculating the similarity RateMat of the target and the template again and performing iteration tracking. The moving target tracking method based on optical flow greatly improves the tracking precision of a target and solves the problem of limited precision of the optical flow in the moving target tracking method.

The embodiment of the invention discloses a method and device for converting an article into a video, a storage medium and equipment, and belongs to the technical field of computers. The method comprises the steps of obtaining materials in a to-be-converted article; converting text materials in the materials into audios; obtaining a video template matched with the category to which the article belongs from a template library, wherein the template library comprises at least one video template, the video template matched with the category to which the article comprising the text material belongscomprises a typesetting template and a background picture, and the background picture is matched with the category to which the article belongs; and synthesizing the text material, the background picture and the audio according to the typesetting template to obtain a video. According to the embodiment of the invention, the method solves a problem that the text material and the background picturein the video are not matched because the pictures searched according to the keywords are not accurate when an article comprises the text material, guarantees the matching degree of the text material and the background picture, and improves the quality of the video.

The invention provides a system and method for updating a language model (LM). The system comprises a local text set generation unit and an LM updating unit, wherein the local text set generation unit is used for generating a local text set by using text data input to a mobile device and the text data received by the mobile device; and the LM updating unit is used for updating a previously installed initial LM in the mobile device based on the local text set. According to the system and the method, the problem of mismatching between the LM and application requirements in the prior art is solved; and according to the system and method for updating the LM, the LM can be dynamically and frequently updated according to codes of language and concerned topics of a specific user and occurring language phenomenon.

The invention discloses a landmark building identification and detection method based on deep learning. The method comprises the following steps of inputting a to-be-identified landmark building imageinto a DenseNet network to obtain a feature block diagram containing the target building feature information, and then sending the feature block diagram into a region suggestion network to predict abinary category of the feature block diagram and the coordinates of a target building in an original image; completely mapping a prediction candidate box to the feature block diagram by using a RoI Agign method; finally, carrying out classification and frame regression on the more accurate feature block diagrams to obtain the prediction probabilities and the coordinate positions of different landmark buildings, removing the redundant candidate frames through a non-maximum suppression method, fusing the diagrams with the wider coverage regions, and finally realizing the identification and detection of the landmark buildings. According to the method, the prediction of the landmark building candidate frames is more accurate, the prediction range is larger, and the method has the better identification capability on the landmark building images in the complex environment.

The invention provides a method and device for performing N bit parallel baseband processing on a transmission block in a system for coding a channel by using a block coding algorithm. The method comprises the following steps of: performing bit filling operation on the transmission block, then performing error check operation, and finally performing code block partition operation. The bit fillingoperation in the code block partition operation in the prior art is independent and performed before the error check operation, thus N bit parallel baseband processing of a single circuit can be realized before Turbo coding under the condition that extra control signaling and hardware implementation complexity are not increased.

Embodiments of the invention provide a method and a device for searching merchant names. The method comprises: segmenting words for a to-be-searched merchant name, and aimed at each segmented word, according to the word meaning of the segmented word, determining word meaning probability that the segmented word is used as each element; according to the word meaning probability that the segmented word is used as each element and position probability of each element in a merchant name, determining an element attribute of the segmented word; finally, according to the element attribute of each segmented word, searching a matched merchant name of the to-be-searched merchant name from a search library. In the method, after word segmentation is performed on the to-be-searched merchant name, element attribute of each segmented word is determined according to the word meaning and position of each segmented word, and then according to the element attribute of each segmented word, the merchant name matched with the to-be-searched merchant name is searched. Compared with a conventional keyword search and matching algorithm, the method based on element attribute determines significance of the segmented word according to element attribute. The method gets rid of dependence on word frequency or search frequency, so that a problem of mismatching of a similar merchant name is effectively solved.

The invention discloses a continuous sign language recognition method, and relates to processing of a recording carrier for identifying graphics. The method is a continuous sign language recognition method based on multi-modal image sequence feature fusion and a coding and decoding network of a self-attention mechanism. The method comprises the following steps: obtaining an optical flow image sequence; extracting spatial-temporal features of an original sign language image sequence and an optical flow image sequence and fusing the spatial-temporal features of a multi-modal image sequence; extracting a text feature sequence of a sign language sentence label; and inputting the fused multi-modal image sequence spatial-temporal features and the extracted text feature sequence of the sign language sentence label into the coding and decoding network based on a self-attention mechanism to perform sign language label prediction output, thereby overcoming the defects of single feature and videosegmentation requirement in the prior art.

The invention provides ballast adhesive resin as well as a preparation method and applications thereof. The resin comprises a composite A and a composite B, wherein the composite A comprises polyolefin polyol and / or polyether polyol and prepolymer of isocyanate, and the composite B comprises polyether polyol and / or polyether polyol and filling system. The ballast adhesive resin adopts double-composite design, can smoothly penetrate inside a ballast bed due to lower initial viscosity after mixing at temperature of 15-40 DEG C, thus ensuring fast curing of the resin and not influencing the normal running of a railway. In the invention, the polyolefin polyol is used as main raw materials, the water resistance and aging resistance of the material can be greatly improved. In addition, the mixed volume ratio of the two composites is 1:1, so that the problem that the ballast adhesive resin is matched with spraying equipment is solved.

The inveniton discloses an automatic testing and estimating tool of software in the monitoring system of computer software, which comprises the following parts: realizing too of testing and estimating frame of software, unit testing tool, optimizing tool of integrating testing, reliability testing and estimating tool of software, wherein the unit testing tool is simple technique to integrate black box testing and testing routine of testing data generated by random path; the optimizing tool of integrated testing is the testing optimizing model based on component; the reliability testing and estimating tool of software adopts data bin to collect and store ineffective data to build reliable predicting model based on gene expressive formula program, which analyzes the estimating result of multiple models to give perfect qualitative and quantitative reliable analyzing report. The invention solves the contradiction of incomplete mating between commercial testing tool and local software engineering, which affirms high quality to develop software.

The invention provides an unmanned aerial vehicle aerial image accurate matching method based on island edge characteristics and relates to the field of computer graphics. The unmanned aerial vehicle aerial image accurate matching method solves the problem of dislocation easily occurring during splicing of unmanned aerial vehicle aerial images for island edges. Anisotropic Gaussian filters and weighted median filters in weight dynamic allocation are adopted to filter noises in island aerial images, a chordal distance fixed point self-adaption linear fitting method is utilized to detect edge angular points, a maximum likelihood estimation sample consensus (MLESAC) algorithm is utilized to screen matching points, the screened matching points are substituted into an affine transformation model to solve parameters, and matched modified functions are utilized to perform accurate registration on the images. According to the unmanned aerial vehicle aerial image accurate matching method, island edge details are effective reserved, the extracted island edges are clear, and the edge angular points can be extracted rapidly. A screening and correction process of the angular points is designed, the island images are matched accurately, and the matching effect is good.

The invention discloses a batch upgrading method and system of a multi-board device. The method includes the steps of receiving software files needing to be updated and storing the files in an EMMC according to a batch upgrading request sent by a user; analyzing veneer information involved in the batch upgrade by the file name of the software file; detecting the on-line status of the single boardand the type of the single board of the equipment to be upgraded, comparing with the resolved information of the single board to be upgraded, determining which single boards need to be upgraded, querying the software version information currently running on the single board and saving; determining the priority order of the batch upgrade according to the upgrade information of the single board, the single board type, the master-slave relationship and the business relationship between the single boards; reading the software files from EMMC according to the priority order to upgrade the single board; after all the single board software updates are completed, controlling the single board reset, and upgrading the software of the multi-board device in batch. The method and the system can realize the parallel upgrading of a plurality of types of single boards on the multi-board device, a user does not need to participate in judging the upgrading order, and the equipment software updating efficiency is high.

The invention discloses an image segmentation and multithread fusion-based method and an image segmentation and multithread fusion-based system for evaluating depth of a single image. The method comprises the following steps: setting an input image and an element template, and finding all elements matched with the template in the input image by using the match of shape and texture, shielding evaluation and an image segmentation method which is simultaneously performed on the basis of an image model; extracting depth cue parameters of each element, wherein the depth cue parameters comprise the size of the element, a shielding relationship and the blur length of each element in the image obtained by the computation; according to the depth cue parameters, evaluating a depth value of each element and using an area in the image except the elements as a background; performing depth fitting on an inner area of each element according to a three-dimensional pose of the element obtained by matching the shape; and finally obtaining an optimized depth map. By comprehensively utilizing the depth cue parameters such as the imaging sizes of objects, the shielding relationship and the blur length, the relative depth map of the single image is obtained.

The invention discloses a semantic stereo reconstruction method for a remote sensing image, and mainly solves the problem of low semantic three-dimensional reconstruction precision caused by ignoringrelated information of semantic segmentation and parallax estimation in the prior art. According to the implementation scheme, firstly, experimental data are preprocessed; a semantic segmentation network and a parallax estimation network are trained by using the training data; the trained network is tested on the test image, and test results of different frequency band information are fused to obtain a fused semantic segmentation result and a fused parallax result; the error correction module is used for assisting each other to correct the error part of the opposite side; and the disparity information is calculated to obtain height information, and the semantic segmentation result is combined with the height information to obtain a semantic three-dimensional reconstruction result of the image. According to the method, the proportion of small samples is improved, the influence of data on the network is balanced, the semantic information and the parallax result are fused with each other,the accuracy of semantic three-dimensional reconstruction of the remote sensing image is improved, and the method can be used for urban scene three-dimensional reconstruction.

The invention discloses a depth image high-resolution reconstruction method based on a Kinect camera and relates to the image processing field. The method comprises the steps that a color camera and adepth camera of the Kinect camera are calibrated, and camera parameters of the Kinect camera are acquired; a color image and a depth image of a target object are acquired through the color camera andthe depth camera of the Kinect camera respectively; the depth image is mapped into a color image pixel coordinate system where the color image is located according to the camera parameters of the kinect camera, and an after-alignment depth image is obtained; a non-convex optimization model is constructed according to the color image and the after-alignment depth image; and an alternate directionmultiplier algorithm is utilized to solve the non-convex optimization model to obtain a reconstructed depth image. Through the method, high-resolution reconstruction of the depth image under the guidance of the color image in a natural scene can be realized, and good edges can be obtained and kept smooth and robust while quick convergence is guaranteed.

The invention discloses an LNG gasification system based on a double-heat-source heat pump. The LNG gasification system comprises an LNG gasification heating expansion main circuit, an expansion electricity generation unit, a double-heat-source heat pump unit and an automatic control unit. According to the LNG gasification system, the double-heat-source heat pump is introduced, solar energy and air energy serve as gasification system base load heat sources to supply needed heat for LNG gasification, and therefore efficient LNG gasification is achieved; LNG cold energy electricity generation is utilized for supplying energy for power utilization equipment like a compressor and a process pump in the system and supplying cold for an optimized cold energy user end outside the system in a cold air or chilled water or other modes, and therefore reasonable recycle of the LNG cold energy can be achieved flexibly; according to hourly gas requirements and hourly cold supply requirements of a typical design day of a natural gas user end and the optimized cold energy user, a cold storage tank, an inverter compressor, a standby heater and various flow regulation components are adopted, and the system can operate stably under different working conditions through multiple adjustments by a control system.

The invention relates to a DAC calibrating circuit and a calibrating method thereof. The DAC calibrating circuit comprises a first switch, a second switch, a first comparator, a second comparator, a capacitor and a calibrating module, wherein the first switch is connected between an LSB (Least Significant Bit) unit and the capacitor in order to enable the LSB unit to charge the capacitor based onthe control of a first signal; the second switch is connected between the MSB unit and the capacitor in order to enable the MSB unit to charge the capacitor based on the control of a second signal; the in-phase end of the first comparator is connected with connecting points among the MSB unit, the LSB unit and the capacitor; the reversed-phase end of the first comparator is a first fixed voltage;the in-phase end of the second comparator is connected with the in-phase end of the first comparator, the reversed-phase end of the second comparator is a second fixed voltage; and the calibrating module receives a comparative result of the first comparator and the second comparator and regulates the current of the MSB unit and / or the LSB unit in real time. The invention has high calibration accuracy and can be widely used for high-accuracy DAC.

A method for grouping a plurality of storage resources provided by a storage system into storage groups. Storage management software obtains storage resource configuration information set for each of a number of logical partitions in the storage system and groups the storage resources into storage groups such that the storage resource group configuration individually set for the logical partitions in the storage system matches the group configuration of the storage resources constituting the storage groups.

The invention provides an image matching and positioning method based on point feature and contour feature fusion. The method comprises the following steps of after Point feature detection, calculating segmentation thresholds, binarizing images, searching through contour edge points; performing contour approximate fitting to fuse point features and contour features, performing feature descriptionand feature matching, performing mapping matrix point screening, calculating a mapping matrix and a matching position, mapping a real-time graph center coordinate to a reference graph, and performingcompensation according to flight platform attitude information to obtain current geographic position information of the flight platform. Point features of the method have intrinsic contour constraints. Mismatching points can be quickly and effectively eliminated through contour features. The method has following advantages in that a mismatching problem caused by single point feature matching is avoided, matching correctness is improved, heterogeneous image matching positioning of the flight platform shooting real-time image and the satellite remote sensing image reference image is realized through point feature and contour feature fusion, and relatively high correctness is realized compared with a present matching algorithm.

The invention relates to a universal international multi-functional environment-friendly extension power supply connecting device which comprises a shell, an electricity lead-out plug, a socket and a first power supply switching module. The shell is provided with a bottom face which is provided with a containing groove. The electricity lead-out plug is arranged in the containing groove in the bottom face and can move in the containing groove. The socket is arranged on the surface of the shell and comprises a plurality of socket units conforming to specifications of multiple nations. The first power supply switching module is arranged in the shell and provided with a first input end and a first output end. The first input end is electrically connected with the electricity lead-out plug, the first output end is electrically connected with the socket, and therefore the mains supply power supply led out through the electricity lead-out plug is converted into power supplies with specifications corresponding to the specifications of the multiple socket units. In the connecting device, the electricity lead-out plug can move in the containing groove; for the sockets of different specifications, the plug can be inserted into the socket when the electricity lead-out plug is moved to correspond to insertion holes of the socket in position, and applicability of the power supply connecting device is improved.