554results about How to "Rich relevant information" patented technology

An online system provides users with tools to annotate publications and share such annotations with other users. Publications annotated by a community of users become a richer source of information for the community.

In an electronic file system, preview information is provided to the user during a drag operation of a selected object onto a target object. The information indicates what type(s) of action is to be taken should the selected object be dropped onto the target object. The action(s) to be taken may depend upon the type of the selected object and/or the type of the target object. For example, where the selected object is an item and the target object is a persisted auto-list, the action may include adding, removing, or modifying one or more properties of the selected object to conform to one or more criteria defined by the persisted auto-list. Also, numerical feedback may be provided to the user where multiple objects are selected. For example, where seven objects are selected, the textual number “7” may appear next to the cursor.

A system and method for producing and receiving interactive broadcasting having a broadcast signal with a hypermedia channel and a logical multicast data channel. The logical multicast data channel has a broadcast signal markup stream (BSMS). The system users have a receiver with an interactivity module and a communication module. The BSMS allows user selectable objects to be displayed to users of the system. BSMS objects can be generated by combining speech recognition, language (and optionally video) processing, and keyword searches. By selecting objects various information relating to those objects may be displayed to users. A portion of the logical multicast channel may be employed to provide interactivity between users. A variation eliminates the BSMS either by employing a markup stream server to provide access links or by generating link content directly in the receiver by the same process.

The invention relates to a visual inertial navigation SLAM method based on ground plane hypothesis. According to the method, feature points are extracted from an image to perform IMU pre-integration,a camera projection model is established, and camera internal parameter calibration and external parameter calibration between an IMU and a camera are performed; a system is initialized, a visually observed point cloud and a camera pose are aligned to the IMU pre-integration, and a ground equation and the camera pose are restored; the ground is initialized to obtain a ground equation, the ground equation under the current camera pose is determined and back projected to an image coordinate system, and a more accurate ground region is acquired; and based on state estimation, all sensor observation models are derived, camera observation, IMU observation and ground feature observation are fused to do state estimation, a graph optimization model is used to do state estimation, and a sparse graph optimization and gradient descent method is used to realize overall optimization. Compared with previous algorithms, the precision of the method is greatly improved, estimation of the camera pose can be limited globally, and therefore accuracy is greatly improved.

The invention relates to a laser radar and visual sensor fused dynamic grid map structuring method. The laser radar and visual sensor fused dynamic grid map structuring method comprises combining thelaser radar and the visual sensors of a designated traveling vehicle, marking static targets and dynamic targets through classification, and ensuring information time synchronization of the sensors; during a vehicle traveling process, structuring a multi-dimensional dynamic-static grid map. The laser radar and visual sensor fused dynamic grid map structuring method has the advantage that, comparedwith the prior art, the structured map is the multi-dimensional dynamic-static grid map and is generated during the vehicle travelling process. The structured dynamic-static grip map can show the road states around the current vehicle such as drivable areas, surrounding obstacles and the motion states of the obstacles to provide information for safe driving of the vehicle in a current local areaand to provide a self-driving vehicle with safe, reliable and predictable local road area information, and meanwhile, the visual sensors of the self-driving vehicle can help enrich the information ofthe dynamic-static grid map.

The invention discloses a method and a system for displaying phone number information. The method may comprise the following steps of: when a communication terminal is used by a user, monitoring called or calling events and acquiring a target phone number from the called or calling events; if the target phone number is an enterprise phone number, acquiring relevant information of the target phone number from a cloud server, wherein the relevant information includes information which is customized and uploaded to the cloud server for saving by an owner of the enterprise phone number; and creating an display interface in the communication terminal and displaying the acquired relevant information on the display interface. According to the method and the system, the relevant information of the enterprise phone number can be set by the owner of the enterprise phone number and displayed.

The invention provides an unmanned aerial vehicle cruising and monitoring system for forest fire. The weight of the unmanned aerial vehicle is reduced, flight time is prolonged, an unmanned aerial vehicle cruising range is enlarged, route planning is carried out for fire monitoring, and an unmanned aerial vehicle flight control system is combined with a geographic information system. The route planning not only guarantees monitoring quality and monitoring full coverage but also considers the hardware parameters and the flight safety of the cruising unmanned aerial vehicle, a rotary head carries a thermal infrared imager and a colorful high-definition camera, the thermal infrared characteristics of the image of the forest fire are fully utilized, and an automatic monitoring and identification method for forest fire information is designed. Even if the forest fire monitoring distance of the unmanned aerial vehicle is long, fire characteristics can be accurately captured. A colorful high-definition image is compressed and transmitted back to a ground command post, a high-definition fire video image can be quickly transmitted to the ground, a fire position can be accurately reported, so that convenience is brought to the ground command post in accurately judging a fire situation and organizing people to fight the fire, and precious fire-fighting time is saved.

The invention discloses a character recognition method based on an attention mechanism and linkage time classification loss. The character recognition method comprises the following steps that S1, a data set is collected; s2, carrying out preprocessing such as scale zooming, gray level conversion and pixel normalization on the image sample; s3; processing the tag sequence of the sample, includingfilling, coding and word embedding; s4, constructing a convolutional neural network, and performing feature extraction on the text image processed in the step S3; s5, encoding the features extracted in the step S4 by using a stacked bidirectional recurrent neural network to obtain encoded features; s6, inputting the coding features obtained in the S5 into a connection time classification model tocalculate a prediction probability; and S7, calculating weights of different coding characteristics by using an attention mechanism to obtain coded semantic vectors.

The invention discloses a method and a system for dining ordering based on RubyonRails. The method comprises the following steps: setting a server side, storing menu information at the server side, and generating corresponding QR code according to restaurant server IP (Internet Protocol) address, timestamp and dining table position; sending the QR code to a client side set on a corresponding dining table through the internet, or outputting and printing the QR code and then placing the printed QR code on the corresponding dining table; when scanning the QR code on the dining table through a QR code scanning client side on a mobile phone by a user, according to the restaurant server IP address included in the QR code, presenting menu information provided by the server side based on RubyonRails by a mobile phone screen; after selectively generating order information by the user according to the menu information through the mobile phone, receiving the order information returned back by the mobile phone, and mobile phone Cookies by the server side; and judging whether the order information of the received Cookies is submitted once within preset time by the server side, if not, confirming that the order is generated.

A method for analyzing data from a mass spectrometer comprising obtaining calibrated continuum spectral data by processing raw spectral data; obtaining library spectral data which has been processed to form calibrated library data; and performing a least squares fit, preferably using matrix operations (equation 1), between the calibrated continuum spectral data and the calibrated library data to determine concentrations of components in a sample which generated the raw spectral data. A mass spectrometer system (FIG. 1) that operates in accordance with the method, a data library of transformed mass spectra, and a method for producing the data library.

The invention provides an identification method of transient state power-angle stable key transmission cross-section corresponding to an expected fault, belonging to the field of electric power systemdispatching automation. Based on a transient state power-angle stable quantitative analysis theory and method, namely extended equal-area criterion (EEAC), the method identifies the key transmissioncross-section corresponding to the expected fault to provide decision support for the electric power system dispatching operation and control. The method comprises the following steps: carrying out atime domain simulation in an expected fault scene based on the operation state, model and parameters of an electric fence; identifying a generator critical group with stable transient state power-angle by EEAC based on simulation track and calculating the participation factor of the generator; calculating the sensitivity to the cross-section components power change caused by the output of each generator in the generator critical group by a power flow sensitivity analysis method; and taking the sum of products of the participation factor in each generator of the generator critical group and corresponding sensitivity of the cross-section component as a judging indicator of the transient state stable key transmission cross-section corresponding to the fault.

A digital OSD controller based on FPGA consists of character processing module, variable bit map processing module, MCU interface module of micro-controller, synthetic module of OSD image color and feature as well as OSD management module. It is featured as using three different storages to synthesize scan time sequence and signal stream for overlapping them with original image at output end then displaying OSD menu image with variable size, variable character, etc on LCD.

The invention belongs to the field of application of near-infrared laser, nuclear irradiation, electron and image rebuild in systematic biology and medicine. It is characterized in that high-specificity nuclear species and fluorescent probe are implanted in live animal to realize double mark of muscle deep layer or internal organ tumor cell. The emission signal of nuclear species is checked by sensitive electron-multiplier phototube in array copulation position of scintillation crystal; feeble fluorescent signal generated by visible light or infrared agitation is checked by high quantum yield CCD camera. The two checking systems are orthogonally arranged in the same surface, the live nuclear species and fluorescent signal can be checked simultaneously through rotary image cavity, and double module three dimensional tomography image of small animal can be rebuilt with software algorism. The invention is characterized by multi-image forming modules, abundant information and simple operation.

A video search system based on image recognition and matching comprises a server side and a user side. The server side comprises a video collecting module, a video character feature collecting module, a video character information analysis module, a video preprocessing module, a video content analysis module, a video feature extraction module, a server database module, an image feature extraction module, a server control module and a user feedback information analysis and process module. The user side comprises a user search information uploading module, a video search result displaying module and a search result user feedback module. The invention provides a method for searching for videos through images. Good user experience is achieved; by uploading one image, a user can obtain video resource information related to the content of the image; the returned search result is accurate, the information amount is large, and mass video resources on the Internet can be fully utilized.

The invention provides a map building method and system based on data fusion of two laser radars as well as a map. The method comprises a step of building a point cloud map and also comprises the following steps: performing calibration and data fusion on the two laser radars; performing interframe point cloud coarse registration by adopting a rapid space model point cloud registration algorithm; and performing pose correction by adopting the nearest neighbour iteration, so that optimal interframe transformation is obtained and accurate interframe point cloud splicing is realized. The method provided by the invention firstly performs space and time synchronization on the double laser radars and performs the data fusion on the laser radars; then the interframe point cloud coarse registrationis performed by adopting the rapid space model point cloud registration algorithm, and point cloud registration correction is performed by utilizing the nearest neighbour iteration point cloud registration, so that high-precision interframe point cloud splicing is realized; and finally building of the point cloud map is completed.

The invention discloses a beef quality multi-parameter simultaneous detection method by multichannel near-infrared spectroscopy, belonging to the rapid nondestructive detection range of beef quality. The method comprises the following steps: first, arranging a spectral detection system comprising an 8-channel fiber multiplexer, two spectrometers with different wavelength ranges and probe units ina movable control cabinet, wherein the 8-channel fiber multiplexer is respectively connected with the spectrometers and the probe units; embedding in a production line technology to carry out on-linedetection to obtain optimum spectra data, wherein the quality detection of carcass and cut meat can be simultaneously satisfied; establishing a calibration prediction model, evaluating model effects by using relative analytical errors, carrying out model analysis on a large number of sample experimental data, respectively establishing prediction models of tenderness and water content to obtain a predicted value of each index, and then plugging the obtained predicted values into a beef multi-parameter comprehensive quality evaluation model which is established based on the detected indexes to obtain a final meat grade. According to the invention, the spectral information in the visible near-infrared band is collected, the information is abundant, the detection indexes have extensibility, and the method can be suitable for the requirement of production line detection.

The invention provides an open quantitative analysis method based on a medical image. The method comprises the steps that 1, medical image data is acquired, focus tissue in the medical images is segmented, automatic or auxiliary positioning and tumor extraction are conducted on the focus tissue, and segmentation of the diseased part is achieved; 2, feature extraction is conducted on the segmented focus tissue, image features are mined, and a focus tissue image feature database is built; 3, a model for assisting in diagnosis, prognosis and prediction precision is built on the basis of the focus tissue image feature database by combining clinical information and focus image features of a patient through a computer analysis algorithm. According to the analysis method, by applying a big data analysis method to image omics, diagnosis of a doctor is better assisted.

The invention provides a regression prediction method, wherein not only similarity between independent variables X is taken into consideration, but also similarity between dependent variables Y of raw data is taken into consideration, and the model of output value y development based on the historical angle of close neighbors. Compared with the conventional model without taking data development mode into consideration, only one preprocessing section is added to a data set, and the information of the data point can be diversified without the need of extra resource; and the information of the raw data point X is diversified, and finally the prediction effect is improved. Furthermore, the regression prediction method can be realized on a MapReduce frame, and the execution speed can be improved by utilizing the parallelism of the device.

The present invention provides processing approach of dynamic Chinese character font library containing write order information. The processing approach includes processing static Chinese character image to extract the strokes and extract the contour and skeleton of each stroke in the write order; tracing the time sequence information of stroke skeleton and time sequence information of the stroke contour in preset policy; and performing sectional curve fitting and time sequence information fitting to convert the input static Chinese character information into dynamic Chinese character data. The present invention may be applied for dynamic display of Chinese characters in various styles and simulating dynamic Chinese character writing process. The present invention has also static zooming and dynamic restoring function of Chinese characters, and is suitable for various fields where dynamic Chinese character display is needed.

The invention provides a cytological intelligent auxiliary reading method and system for a cervical fluid-based slide, and belongs to the technical field of medical image processing. The cytological intelligent auxiliary reading method comprises: performing full-slide scanning, acquiring single-sheet full-slide digital microscopic image; performing recognition and classification on the full-slidedigital image, labeling a pathological cell region and an overlapping cell region as suspicious labeling area, generating a search region centered on the suspicious labeling area; moving the slides tosend the search region into an imaging view field one by one, performing multi-dimensional three-dimensional imaging. The system provided by the invention comprises an electrically controlled two-dimensional loading platform, a Z-axis moving unit, a slide code reading unit, a microscope, an imaging unit, three-dimensional imaging, and sending the imaging results to an image processing console. The cytological intelligent auxiliary reading method and system only perform multi-dimensional imaging on pre-selected search regions, not only provides complete 3D information, but also greatly reducesthe total imaging time of each slide, a pathologist has no need to browse the whole slide and search the pathological cells, therefore the reading efficiency is improved.

The invention relates to an unmanned aerial vehicle tunnel inspection system based on BIM technology. The system comprises a correspondence establishment module, an attitude/position information acquisition module and a motion state acquisition module, wherein the correspondence establishment module obtains the relationship between an unmanned aerial vehicle navigation coordinate system and a three-dimensional engine roaming camera coordinate system; the attitude/position information acquisition module sets a camera to roam along an inspection line in a three-dimensional engine, converts the obtained correspondence between the motion trail parameter and the three-dimensional engine roaming camera into an unmanned aerial vehicle motion trail parameter, and obtains a pose parameter in the unmanned aerial vehicle inspection line; and the motion state acquisition module acquires the information corresponding to the mounting labels on the three-dimensional engine roaming camera, the RGB-D based camera, an MEMS inertial measurement unit and a tunnel segment, and integrates the information of the four to obtain the motion state in the tunnel. The system provided by the invention can improve the working efficiency of tunnel inspection.

The invention discloses a fisheye image vehicle identification method, belonging to the field of vehicle identification. The method comprises the following steps of: obtaining a fisheye image by a fisheye camera; correcting the fisheye image to obtain the corrected fisheye image; based on the corrected fisheye image, obtaining the lower edge and the left and right edges of the vehicle according to the current environment of the vehicle respectively to obtain vehicle candidate areas; and classifying the vehicle candidate areas and identifying vehicles and non-vehicles. In the invention, by detecting the inherent features of the vehicle and effectively combining the features, the vehicle separation accuracy can be improved, and the quick and accurate implementation of the subsequent vehicleidentification is ensured; and the method classifies the vehicles and non-vehicles from another angle, is not influenced by the feature vector extraction mode, and brings remarkable improvement to the identification rate and the complexity of identification algorithm.

The invention relates to a method and system for monitoring a process based on slow feature analysis. The method comprises the steps of reading a slow feature model and a monitoring model, reading in an online measurement value of a process variable, forming an input vector, and inputting the input vector into the slow feature model to obtain an online real-time estimation value of a slow feature vector s(t); inputting a vector s1:M (t) formed by front M slow features into the monitoring model to obtain instant evaluation values of T<2> and S<2>; comparing T<2> with Ta<2> and S<2> with Sa<2>, judging that the process is shifted from a steady state operation point if T<2> is greater than or equal to Ta<2>, and judging that the process is subjected to dynamic feature variation if S<2> is greater than or equal to Sa<2>. According to the technical scheme, the shift of the steady state operation point can be monitored, and the dynamic feature variation of the process can be effectively monitored.

The invention discloses a dual-optical-frequency-comb linear spectral encoding imaging method. According to the method, two optical frequency combs with locked repetition frequencies are used, and thetwo optical frequency combs output signal light and local oscillator light respectively. The signal light is divided into detection light and reference light. The detection light passes a spectral encoder to be focused on the surface of a sample to be measured, the sample to be measured is encoded, and then the sample to be measured and the local oscillator light are subjected to dual-optical-frequency-comb heterodyne interference. The reference light directly interferes with the local oscillator light. Two interference pulse signals are generated and are converted into digital signals by signal acquisition. Optical reference compensation detection jitter is used, and a sample absolute distance with high precision and high stability, a linear reflectivity and phase information are obtained. The sample is moved linearly, continuous measurement is performed, and a 3D topographic image and a 2D reflectance image with high precision are achieved. The dual-optical-frequency-comb linear spectral encoding imaging has the advantages of simple structure, high measurement speed, high precision, a large amount of information and high expansion.

The invention discloses a similarity-based breast image matching image searching method and system. The similarity-based breast image matching image searching method comprises the following steps: setting up an image characteristic base, setting up a layering cluster tree, extracting the characteristics of images to be searched, and looking for and outputting images similar to the images to be searched. The system comprises an image characteristic base setting-up module, a layering cluster tree setting-up module, a module for extracting the characteristics of the images to be searched and a similarity image searching module. The method and system can input images, to be searched, of breast X-ray films in real time into a searching database, and then analyze the input images, rank the images in the searching database according to the similarity between the images and the input images, and then output the images. The method and system are quick in searching speed and accurate in searching result.