94results about How to "Informative" patented technology

The invention discloses a remote and rapid monitoring and alarming device and method for the displacement and the gesture of a sliding mass, and relates to a target monitoring technique. The method carries out remote automatic monitoring on the potential sliding mass in the earthquake and landslide disaster emergency rescue, and monitors the changes of the position and the gesture of the potential sliding mass, and once the changes reach or exceed the preset safety limit, the acousto-optic alarm is carried out to warn the field personnel to take safety measurements or depart from the danger area. The device has mature technique, lower cost, simple structure, low power consumption and higher accuracy, is convenient in operation, is convenient for outdoor monitoring, provides the insurance for natural disaster rescue, and generates enormous economic and social benefits.

The invention discloses an obstacle avoidance robot based on visual feature binding and a reinforcement learning theory. Visual feature binding and the reinforcement learning theory are utilized, and depth image information is integrated to learn priori knowledge of complex environment on the basis of a convolutional network and image matching technology; on the basis of a feature binding mechanism, a result is fed back to obstacle avoidance of the obstacle avoidance robot to make a decision intelligently, quickly, efficiently and accurately; an MNIST handwriting dataset is adopted, different control signal meanings are given to numbers 0-9 respectively, a Kinect sensor is utilized to collect RGB images with moving distance containing handwriting pictures in the complex environment, and an image matrix is created and output through gray-scale processing; image matching is performed, pictures after being matched are subjected to binarization processing and substituted into a well-trained image recognition model based on a convolutional neutral network, numbers in front of the sensor are judged finally, and corresponding control signals are transmitted to a robot control module through a host to realize intelligent obstacle avoidance.

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 relates to an orthopaedic case information collecting system and a collecting method thereof. The system comprises a paper medical record scanning and collecting module, an electronic medical record automatic converting module, an orthopaedic image collecting module and a medical record information sharing platform. The orthopaedic case information collecting system can effectively collect orthopaedic case information and processes the information with a unified standard, so that the public can inquire and use the orthopaedic case information conveniently and the problem of unbalanced medical information is relieved.

The invention discloses a method for restoring a weighting sparse edge regularization image, which comprises the following steps: (1) using a difference operator to obtain gradient information of each direction of a blurred noise image and combining directions at random so as to obtain a matrix mathematical model of the edge of the image; (2) according to an image sparse principle and the definition of the optimal sparse solution of an uncertain equation, aiming at an image edge model obtained in the step (1), adopting a weighting sparse constraint to constrain the edge of the image, and deriving the cost function of image restoration by combining a known degenerate function; and (3) according to the steps (1) and (2), using an improved upper bound minimal method to carry out optimization solving on the cost function so as to obtain a clear restored image. The method greatly enriches information content at the edge of the image; the weighting sparse edge constraint is adopted for effectively protecting the edge characteristics of the image; and the restored image with high quality is obtained by using the improved upper-bound minimal mathematical method.

The invention provides an information query system and method. The information query system comprises a first cluster and a plurality of clusters in different languages, wherein the first cluster is used for translating and rewriting a query request in a source language into query requests in various target languages, and the query requests in the various target languages are sent to the second clusters in the corresponding languages respectively; each second cluster is used for receiving the query request in the target language corresponding to the language of the corresponding second cluster, conducting an information query according to the received query request in the corresponding target language, and returning a query result in the target language corresponding to the corresponding second cluster back to the first cluster; the first cluster is further used for sending the query results, returned by the second clusters, in the different target languages to a search front end for display after processing query results, returned by the second clusters, in the different target languages. By means of the information query system and method, multi-language information retrieval is achieved, more information is provided for users, and user experience is promoted.

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.

When user calls, mobile terminal sends authentication request to register of access location. Flag bit to show whether the user carries out signaling tracking is added to the message responded by the register of access location. Hereafter, the signaling tracking symbol is transferred to relevant signaling message along with calling flow. When the calling signaling flows through a module, the module determines whether the signaling tracking symbol is true. If yes, the corresponding signaling message and message body are reported to operational maintenance terminal. The invention makes personnel for operating and maintaining mobile communication system obtain internal signaling flow and contents of the mobile users easily. Thus, faults in system can be solved in shortest time so as to reduce loss of users and managers.

The invention discloses a crack detection method for a road surface, the method includes: extracting the area of interest of road surface in the image in advance, detecting the image segment endpoint being possible as crack of road surface, adopting multiscale combined with the gradient histogram and support vector machine for classifying, outputting the information of the area, which is judged as the crack of road surface and reminding the user. The video information content is more abundant, the classifying operation is more accurate and the false alarm rate is lower; the method is suitable for larger range with higher automatic processing level, the detection accuracy rate is improved, the detection discriminating efficiency is improved, the method has higher stability, higher anti-noise capability and anti-tilt capability compared with the conventional method; the method can solve the problems that the artificial patrolling work intensity is big at present, the operation is limited by the experience level and the misjudgement and omission rate is high.

The invention discloses a polarized SAR classification method based on deep learning of shallow-layer characteristics and T-matrix. The polarized SAR classification method based on deep learning of shallow-layer characteristics and T-matrix mainly solves the problem that the prior art is low in the classification correct rate for the same natural object having obvious difference on the scattering information and different natural objects having similar scattering information. The polarized SAR classification method based on deep learning of shallow-layer characteristics and T-matrix includes the following implementation steps: 1, filtering an original polarized SAR image; 2, extracting the polarized shallow-layer characteristics of the polarized SAR image after filtering; 3, fusing the shallow-layer characteristics with the polarized SAR data after filtering to construct training simples and a test samples; 4, learning the training samples through a convolution neural network; and 5, classifying the test samples by means of the convolution neural network which is obtained through learning, and obtaining the final polarized SAR natural object classification result. The polarized SAR classification method based on deep learning of shallow-layer characteristics and T-matrix is high in the classification correct rate of the polarized SAR target natural objects, has good experimental effect on classification of the natural object targets of a large area, and can be applied to target identification and natural object classification of a large scene.

The invention discloses a place name retrieval device which comprises: an input unit used to receive names of place names; a place name information configuration unit used to store the related information of place names into a navigation electronic map database; a word division unit used to carry out the division treatments to the names of place names in the input unit to obtain a plurality of terms; a matching unit used to find fields matched with the terms in the navigation electronic map database; a display unit used to display the related information of the fields found by the matching unit. The place name information configuration unit is adopted to store the information of place names into the navigation electronic map database, thereby being capable of retrieving according to the place names and ensuring that the retrieved information is much richer.

The invention discloses an image computer-aided diagnosis method for multi-sequence nuclear magnetic resonance images, belongs to the field of computer-aided diagnosis, and relates to a computer-aided diagnosis method for multi-sequence image processing, texture feature extraction, classification and decision fusion of magnetic resonance imaging (MRI)-based T1WI, T2WI, an arterial phase, a portal vein phase and an equilibrium phase. According to the method, five sequences of the T1WI, the T2WI, the arterial phase, the portal vein phase and the equilibrium phase of MRI are integrated under a digital image processing and mode identification framework, and the image computer-aided diagnosis is completed by means of a neural network, a voting mechanism and a decision-making tree according to three levels of region of interest (ROI) processing, multi-sequence MRI classification and individual classification. By the method, multi-parameter, multi-sequence and multidirectional imaging is provided, and a combined classifier can select a sequence having the optimal distinguishing performance from the five sequences according to different stages of an anomaly structure to serve as the classification attribute of the corresponding stage. The image computer-aided diagnosis method has the advantages of rich information, clear levels and high classification accuracy.

The invention provides a text semantic similarity calculation method and device and a user terminal and relates to the field of computers. The method comprises the steps that a first word vector matrix corresponding to a first text and a second word vector matrix corresponding to a second text are established; according to the first word vector matrix, the second word vector matrix and a predetermined modal number, a multi-modal similarity matrix of the first text and the second text is established; an artificial neural network algorithm is utilized to iteratively optimize similarity measurement parameters in the multi-modal similarity matrix, first word vectors, second word vectors and introduced artificial neural network parameters; and when a predetermined iteration ending condition ismet, an iteration output result is used as the semantic similarity between the first text and the second text. The multi-modal similarity matrix calculated through the method can be used for realizingtext semantic matching under a one-word-multiple-meaning condition.

The invention discloses a point-of-interest information search device, system and method. The method includes: confirming searching conditions of the points of interest; obtaining benchmark information of the points of interest from a first information source according to the search conditions; obtaining pending-trial information of the points of information from a second information source according to the search conditions, wherein the benchmark information at least comprises accurate benchmark comparison information, and the pending-trial information at least comprises pending-trial comparison information and expending information which are identical in attributes; and judging whether the pending-trial comparison information is the same as benchmark comparison information, and outputting result information at least comprising the pending-trial comparison information and the expending information on yes judgment. The device comprises a confirming unit, a first search unit, a second search unit, a judging unit and an output unit. The system comprises a request end and the device. Simultaneously, requirements for abundant and accurate information amount of result information of points of interest search of users can be met.

The invention provides an application pushing method and a mobile terminal. The method includes: if a first application is in a preset state, determining a second application corresponding to the first application, wherein an application interface of the first application is in full-screen display, and the second application is an operating background application; displaying a floating window on the application interface of the first application, wherein the floating window displays an application interface of the second application. According to the application pushing method, in a process ofwaiting for first application processing information, the second application can be quickly pushed to a user, the application interface of the second application is capable of displaying information,and accordingly more information can be displayed on a screen of a mobile terminal, and information display effects are improved.

The embodiments of the present invention provide a high-precision map-based visual loopback detection method and device. According to the method and device, element information in a high-precision mapis matched with information extracted from a real-time image, and whether the element information in the high-precision map and the information extracted from the real-time image are information of the same location is judged; when it is detected that the element information in the high-precision map and the information extracted from the real-time image are the information of the same location,an error function is constructed through position coordinates in the high-precision map and positions in a real-time visual odometer; and a real-time pose is optimized by minimizing the error function, and therefore, the real-time pose in the visual odometer can be optimized, more accurate motion trajectories can be obtained, and the accuracy of the precise position calculation of the visual odometer can be improved. With the high-precision map-based visual loopback detection system adopted, more loopback detection constraints can be brought about; and since the information of the high-precision map is abundant, the accuracy of the high-precision map is higher than that of road sign points in a traditional visual odometer, and therefore, the accuracy of the real-time visual odometer can beimproved.

The invention discloses a distributed multi-agent collaborative decision-making method based on an attention mechanism. the distributed multi-agent observation information is fused based on an attention mechanism; The method comprises a local observation information coding step, an attention mechanism-based weight calculation step, an attention coefficient calculation step, a local observation information weighted summation step, an attention information and position information fusion step and a decision probability solving step. On the basis of a data driving mode, the mutual relation of local information is discovered autonomously, global decision information is constructed for a single agent, position information is processed independently, and a multi-agent system of which the information is richer and the spatial position relation is processed in a targeted manner can be realized.

The invention relates to a virtual target operation method and device. The method comprises the following steps: collecting a live-action image; using the live-action image as a background image of an interactive interface; detecting a human face image in the live-action image; according to the detected human face image, generating the virtual target using as a foreground image of the interactive interface; obtaining an operation command in allusion to the virtual target; and according to the operation command, executing a predefined operation to the virtual target. The provided virtual target operation method and device are capable of combining the virtual scene and the real scene, realizing the interactive effect between the virtual scene and the real scene through the interactive interface. The transmitted information content not only comprises the information content transmitted by the virtual scene, but also comprises the information content transmitted by the real scene, so that the more abundant information content can be transmitted.

The invention discloses an electronic map labelling, claiming and error-correcting method and processing equipment. The method comprises the following steps of: receiving an labelling operation of one position on the electronic map, wherein the labelling operation comprises at least one of the following: label point and information increment, label point claiming and label point error-correcting; performing corresponding process on the labelling operation. The invention further provides electronic map labelling, claiming and error-correcting processing equipment. Through performing map labelling, claiming, error-correcting and other operations on the electronic map by a user, the user can increase the map data in time which are not required by an electronic map business, so as to complete information of the electronic map and guarantee the in-time updating of data, the confirmation of existence of data and the validity of position are prompted, and an electronic map user can acquire more accurate information.

The invention provides a method for adding position information to video call and a mobile communication terminal, which is applicable to the technical field of mobile communication. The method comprises the following steps: a. the mobile communication terminal acquires the information of the current position at which the mobile communication terminal is located and superposes the position information to the current video image during the video call to form the current video image with the position information; and b. the mobile communication terminal sends the current video image with the position information to a called party. The technical scheme provided by the invention ensures that one party can understand the current position of the other party during the call, thus further enriching the video call information and enhancing user experiences.

The invention discloses a gray image watermark embedding and extracting method based on singular value decomposition. The gray image watermark embedding and extracting method based on singular value decomposition comprises the flowing steps: conducting singular value decomposition on an image and obtaining matrix components; conducting encoding and storage on singular values of a diagonal matrix of a singular value matrix and obtaining watermark signals; blocking a hosting image and choosing image blocks high in masking effect; conducting singular value decomposition on the image blocks and embedding the watermark signals into the image blocks; and conducting inverse transformation of the singular value decomposition on the image blocks. The gray image watermark embedding and extracting method based on singular value decomposition has the advantages that the embedding of the gray image watermark image is achieved, the watermark comprises a plurality of straight information, no using limiting exists on the size of the watermark image, and requirements of enterprises concealing personalized enterprise logos as watermarks can be met; the watermark embedding and extracting method can resist a plurality of image aggressive behaviors, and algorithm robustness is high; gray image watermark embedding and extracting method based on singular value decomposition can effectively detect watermark information content, solves the problem of image being illegally issued and the like, and is of great value for healthy and fast development of internet industries.

The invention discloses a visual detection system and method for a through hole of a transparent plate . A combined light source is controlled by a controller to perform time-sharing switching of multiple lighting modes; at least one imaging device is controlled to carry out imaging scanning in different illumination modes; multi-channel image acquisition of shapes and defects of the through holeis realized; the information amount of image acquisition is greatly enriched; the accuracy and the precision of the through hole shape information and the defect information are improved; finally, theprocessor is used for analyzing based on a large amount of collected image data to obtain the shape precision and internal defects of the through hole in the transparent plate; the detection rate andthe recognition rate of the through hole defects are ensured; and a three-dimensional distribution diagram of the through hole defects in the transparent plate is accurately constructed, so that important reference indexes can be provided for guiding defect causes, adjusting a production process and grading material finished products on line, the real-time performance is high, the reaction speedis high, the online improvement of the processing quality is facilitated, and the production operation efficiency and the product yield are greatly improved.

The present invention discloses a strange number processing method and device: when a call from any calling number is received and the calling number is determined to be a strange number, determining whether the calling number is stored in a strange number marking database; displaying the calling number and marking information corresponding to the calling number stored in the strange number marking database to the user if so; otherwise, after connecting this call and ending a conversation, guiding the user to create marking information corresponding to the calling number, and correspondingly storing the marking information created by the user and the calling number into the strange number marking database. The present invention discloses a strange number processing device at the same time. With the solution of the present invention, the identifiability of the strange number is improved.

The invention discloses a local search ordering method, which comprises the following steps: acquiring commercial tenant document weight according to commercial tenant information in the commercial tenant document; obtaining commercial tenant weight according to key words input by a user and the commercial tenant document weight; and ordering the commercial tenant document according to the commercial tenant weight. By using the local search ordering method, information which has better quality and better meets user demand can be provided for users.

The invention discloses a double-tracing thin layer recognizer and a test method thereof and belongs to the technical field of oil field production well dynamic monitoring. The double-tracing thin layer recognizer comprises a liquid releaser, a telemetry four-parameter receiver, a single Gamma instrument, an upper centralizer, an ultrasonic wave flow instrument, a lower centralizer and a solid releaser which are sequentially connected. The double-tracing thin layer recognizer can carry out the conventional five-parameter, continuous tracing, point measurement tracing and radioactive carrier method tracing well logging when going down to a well once, the acquired amount of information is rich, measurement of injection sections of all the straight type wells is contained, the measurement accuracy is improved, and the test problem of difficult wells with low injection rate, multilayer injection allocation and small interlayer space namely the longitudinal density of a perforation layer is solved.

The invention relates to a food safety information back-tracing supervision device based on RFID. The food safety information back-tracing supervision device comprises a cloud platform server, a food safety information collection terminal and a food safety information back-tracing query terminal. The cloud platform server is respectively connected with the food safety information collection terminal and the food safety information back-tracing query terminal through a mobile network, a wireless network or a wired network. The food safety information collection terminal and the food safety information back-tracing query terminal respectively comprise a microprocessor, and an image display module, an RFID read-write module, a physical key operation module, a bar code scanning module, a fingerprint identification module, a wireless communication module, a wired communication module, a power supply management module, an image transmission module, an audio transmission module, a printing output module, a storage module, and a USB module which are respectively in connection with the microprocessor. Compared with prior art, the food safety information back-tracing supervision device is advantageous.

The invention relates to a method for evaluating the insulation aging state of a stator bar based on a space charge method. When a simulated unit works, a stator bar is affected by electric aging, heat aging and mechanical aging. A simulated iron core (1) and a vibration platform (2) form an integrated aging testing device. In an electric aging test, the bar is placed in the simulated iron core tocarry out horizontal vibration, wherein the aging temperature is between 80 DEG C and 90 DEG C. A reference bar (3) carries out electric aging testing at voltages of 1.6UN, 2.0UN, 2.5UN, and 3.0UN, wherein the UN expresses the rated voltage of the wire rod; and on the basis of a relationship map between the voltage and the breakdown time, the service life of the reference bar is calculated. A testing bar (4) carries out electric aging testing at the voltage of 1.0UN; and space charge testing and breakdown testing are carried out at 0h, 500h, 1000h, 1500h, 2000h, 2500h. According to a functionrelationship of total space charge amounts, space charge threshold field strengths and residual breakdown voltages of different aging time, the residual service life of the test bar is evaluated.

The invention discloses an information processing method and an electronic apparatus. With the information processing method and the electronic apparatus adopted, display modes of images can be diversified. The method is applied to the electronic apparatus including a display unit, wherein the electronic apparatus can display N images through the display unit, wherein N is an integer larger than 1. The method includes the following steps that: first operation for the electronic apparatus is obtained through detection; whether the first operation satisfies a first preset condition is judged; and when the first operation satisfies the first preset condition, the N images are spliced together to form a first image according to a first predetermined rule, and the first image has a plurality of sub regions, and each image in the N images is partially or totally displayed in one sub region of the plurality of sub regions, wherein the size of each sub region of the plurality of sub regions and the positions of each sub region of the plurality of sub regions in the first image are determined randomly.

The invention relates to a high-throughput sequencing-based detection kit for STR loci. The detection kit is used for amplifying 34 STR loci and a sex locus. The kit comprises a primer composition formed by primer pairs of the 34 STR loci and a sex locus, wherein the sequence of the primer composition is as shown in SEQ ID NO:1 to SEQ ID NO:70. The invention further provides a detection method using the kit, and an application of the kit in the field of triplet paternity test, diad paternity test, grandparent and grandchild test, siblings identification and individual recognition. Parallel sequencing is carried out on the STR loci by adopting a high-throughput sequencing technology, and variation information in the sequence and variation information of a flanking sequence can be obtained while allele typing information is read; sequence information of 384 samples on the 34 STR loci can be obtained through single sequencing, so that the DNA sample capacity is reduced and the detection time is shortened; and fragment libraries are concentrated at 150-300bp and more abundant information amount can be obtained for degradable materials.

A challenge response type dynamic password IC card with information and energy transmitted through radio frequency comprises a dynamic password IC card body. A safety chip is packaged onto the dynamic password IC card body and connected with a radio frequency signal conversion module, the radio frequency signal conversion module is connected with a radio frequency antenna, the radio frequency antenna is connected with a wireless charging control module, the wireless charging control module is connected with a battery, and the battery is connected with the safety chip. The safety chip is further connected with a touch button and a flexible liquid crystal display. The challenge response type dynamic password IC card with information and energy transmitted through radio frequency has the advantages of being convenient to carry, wide in using range and long in service life, and identity authentication can be performed conveniently and fast.