5217results about How to "Accurate acquisition" patented technology

Nonuniformity in an organic EL display device is effectively detected. All display pixels of an organic EL panel are turned on and the display is photographed with a digital camera. A computer performs image processing of the photographed image to detect an area in which unevenness exists. Then, a V-I curve of each pixel in the area is measured to calculate necessary correction values. The calculated correction values are stored in a memory for use in correcting a signal input to the organic EL panel.

Measurement is made about a necessary evaluation parameter of a subject, the parameter being variable due to sleep apnea of the subject. A body position of the subject is detected in terms of angle information. The parameter measurement and the body angle detection are executed at a predetermined sampling frequency. These data are stored in a storage. A sleep evaluation system includes: an evaluation parameter detector for measuring an evaluation parameter of a subject, a body position detector for detecting a body position of the subject in terms of angle information; a storage for storing measurement data acquired by the evaluation parameter detector and by the body position detector therein; and a controller for causing the evaluation parameter detector to measure the evaluation parameter, and causing the body position detector to measure a body angle of the subject at a predetermined sampling frequency to store the measurement data in the storage.

The invention discloses a method and device for obtaining a lane line. In one specific implementation mode, the method includes the steps that road data are collected, wherein the road data at least comprise the two-dimensional image data and the three-dimensional laser point cloud data; a machine learning method is adopted for recognizing the lane line in the two-dimensional image data; based on the spatial position relation between the two-dimensional image data and the three-dimensional laser point cloud data, a lane line recognition result is converted into three-dimensional lane line disperse points; according to statistical characteristics, the three-dimensional lane line disperse points are filtered; the filtered lane line disperse points are clustered so as to obtain the lane line. By means of the implementation mode, the lane line can be accurately and efficiently obtained, and it is avoided that vehicles or road edges or other marking lines in a road image influence the process of obtaining the lane line. When applied to map drawing, the drawing speed can be obviously increased, and the drawing precision can be obviously improved.

The invention discloses a bearing fault detection method based on a manner of controlling stochastic resonance by an external periodic signal. According to the method provided in the invention, after a bearing fault signal is converted by a variable metric method, the converted signal is input in a bistable system; meanwhile, an external single frequency periodic signal is taken as a control signal to act directly on the system; contact barrier height of the bistable system and an escape rate of Kramers are changed by continuously adjusting an amplitude of the control signal. Therefore, stochastic resonance can be generated or increased artificially; a spectral value of an output power spectrum at the position of an input signal frequency can be effectively improved; and thus a characteristic signal of a bearing fault can be detected accurately at last. The detection method provided in the invention enables the effective control of the stochastic resonance to be realized, thereby providing a novel method for early detection of equipment faults.

A navigation apparatus with image recognition, includes: an imaging section for obtaining a stereo image of a target spot; an inertial information detecting section for measuring an attitude angle of a body and an acceleration of the body; an image process calculating section for calculating a relative position of the body with respect to the target spot based on the stereo image and the attitude angle; and a navigation calculating section for calculating navigation information based on the attitude angle, the acceleration and the relative position.

When radiographic images are obtained by radiography using a tomographic image obtainment apparatus, the degree of overlap of anatomical structures of a subject is obtained. Further, a condition of exposure, such as angles θ of radiography, is changed based on the degree of overlap. The angles θ of radiography are angles at which a radiation irradiation unit performs radiography at a plurality of positions to obtain a plurality of radiographic images. The tomographic image obtainment apparatus produces a tomographic image by reconstructing the tomographic image from a plurality of radiographic images obtained by irradiating the subject with radiation from various directions.

The invention discloses an entity information atlas generation method and device. The method comprises the following steps: collecting a text file; according to predefined class names and relation words, independently extracting a naming entity associated with each class name from each text file, and the attribute of the naming entity associated with each relation word; according to the attribute of the naming entity, independently carrying out association processing on the naming entities in each collected text file to obtain the entity relationship among all naming entities; according to a predefined event name, looking up the naming entity associated with the predefined event name, binding the predefined event name with the found naming entity; and taking the predefined event name as a clue, establishing mapping for associated information dispersed in each text file according to the extracted naming entity and the entity relation, and carrying out aggregation on the associated information to form an entity information atlas. The method can convert unstructured text data into structured data to realize multidimensional and complex knowledge atlas.

The invention provides a method and a device of transmitting and acquiring synchronous information blocks. The method comprises steps that according to a synchronous information block set SS burst Set mode, target mode index information is determined; the target mode index information is stored in every synchronous information block SS block, and the to-be-transmitted synchronous information block is acquired; by adopting a high frequency wave beam, user equipment in a target cell is periodically transmitted to the target synchronous information block; every SS burst Set comprises periodically transmitted synchronously burst SS burst of a first preset number; every SS burst comprises target synchronous information blocks of a second preset number are transmitted according to a space sequence. By adopting the method provided by the invention, the cell signal synchronizing of the user equipment in a 5G network is realized accurately and quickly.

The invention discloses a method for improving earth surface shape change monitoring precision of an InSAR (Interferometric Synthetic Aperture Radar) technology based on a high-precision DEM (Digital Elevation Model). The method comprises five steps below: step 1, generating an interferogram by using radar data; step 2, generating a differential interference phase diagram; step 3, establishing error phases and performing feature analysis; step 4, establishing an error phase optimal function calibration model; step 5, recovering earth surface shape change information of a monitoring region based on results of steps 2 and 4. According to the invention, the error phases and elevation values or the error phases, the elevations and coordinate values along a distance/azimuth of different regions of a research region are extracted, the optimal function calibration models of the error phases of corresponding regions are established respectively based on a least square method, and a simulative error phase is finally removed from the differential interference phase diagram to further recover shape change information along a direction of a sight line of a radar in the monitoring region. The method for improving the earth surface shape change monitoring precision of the InSAR technology based on the high-precision DEM has practical value and wide application foreground in the application field of a satellite borne synthetic aperture radar monitoring technology for earth surface shape change.

A method of transmitting a scheduling reference signal (SRS) for uplink scheduling is provided. The method includes transmitting a SRS on a first partial SRS transmission band in a first transmitting time, and transmitting the SRS on a second partial SRS transmission band in a second transmitting time, wherein the first and the second partial SRS transmission bands are parts of a full SRS transmission band and have exclusive positions with each other in the full SRS transmission band, the full SRS transmission band selected for uplink scheduling, the full SRS transmission band comprising a plurality of partial SRS transmission bands.

The fruit quality real-time detection and sorting robot system is formed from fruit conveying and turning component, computer vision identification component and autoamtic sorting component. The double-cone rollers of fruit conveying and turning component can make fruits, automatically form single line arrangement, and can forward convey fruits at a certain speed, at the same time make the fruits uniformly turn around horizontal small shaft so as to make computer vision identification component detect whole surface of every fruit, including shape, size, colour, surface smoothness and surface defect and injury and obtain quality information of every fruit, and define its grade and position information, said information can be transferred into automatic sorting component to make fruit fall into its correspondent fruit collecting box so as to implement automatic of fruit detection and sorting process.

The invention discloses pearl real-time detection and grading system based on machine vision which includes: computer vision recognition component which is equipped under the charging conduit of pearl charging device, and pearl sorting device is equipped under the computer vision recognition component. Using the computer vision technology, collecting image of sequential free-falling pearl surface, sending the collected image to DSP and computers and other hardware apparatus to dealing, then distinguishing the pearl classification standard instantaneously through the dealing results, last sending the distinguishing information to sorting device to achieving classification of pearl with different characteristics automatically using devices. It can get pearl whole surface image, can complete the testing of whole apparent quality index such as pearl size, shape, smooth, defect and color, etc. simultaneously, achieve the rapid real-time detection and grading. The system can adapt to different classification speed, and the structure is simple, adaptability is strong.

The invention discloses a vibration and audio signal-based high-speed train track damage detecting method, belongs to the field of signal detection and processing as well as safety monitoring, and solves the problems of low detection speed and single detection method in the conventional train track damage detection. The method comprises the following steps: 1, acquiring vibration signals and audio signals of a train track through sensors arranged at train track detection points; 2, respectively extracting information characteristics included in the vibration signals and the audio signals; 3, respectively obtaining a nonlinear correlation curve of the vibration signals and a nonlinear correlation curve of the audio signals by using a nonlinear correlation analysis method; 4, respectively analyzing the information of the two nonlinear correlation curves obtained in the step 3 so as to respectively obtain minimum values of the two nonlinear correlation curves; and 5, carrying out data fusion on the two minimum values and corresponding information thereof so as to obtain a damage coefficient, and looking up a table to obtain the damage degree according to the coefficient. The method is suitable for detecting the damage on railway train tracks and monitoring the safety operation of trains.

A lamp includes a housing, a plate body disposed in the housing and having a wavelength-conversion material, a light-emitting module disposed in the housing and spaced apart from the plate body, and a light sensor disposed on the plate body. The light-emitting module includes a circuit board, and a plurality of light-emitting units disposed on the circuit board and emitting light onto the plate body. The light sensor is used for sensing the color temperature of light that is emitted from the light-emitting units and that propagates within the plate body.

Blur information on an image is found appropriately. Blur analysis means calculates a degree of blur and a direction of blur by using pupil images of the image obtained by pupil detection means, and judges whether or not the image is a blurry image. For the image having been judged as a blurry image, a degree of shake and a width of blur are calculated from the pupil images, and the degree of blur, the width of blur, the direction of blur, and the degree of shake obtained from the pupil images are output as the blur information of the image to deblurring means. The deblurring means corrects the image based on the blur information, and obtains a corrected image.