5239results 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.

As an embodiment of the present invention, in a navigation system using an acceleration sensor, when position information cannot be obtained from a GPS processing section, a velocity detecting unit performs an operation using detected acceleration αG, a measurement time mt, a velocity V0 at a time t0, gravity acceleration g and an amount of height change Dh, according to Expression (11). By using the relationship among a gravity acceleration component gf, the gravity acceleration g, the amount of height change Dh and distance Dm shown in Expression (4), the gravity acceleration component gf can be offset by the amount of height change Dh. Therefore, velocity V can be calculated with high accuracy without receiving the effect of the gravity acceleration component gf.

A method for geometric calibration of a CT scanner, including, for each row of at least one row of detector cells, establishing a complete geometric description of the CT scanner, including at least one unknown geometric parameter, establishing a description of a forward projection function using the complete geometric description, acquiring actual projection coordinates of a calibration phantom placed in a scanning field of view (SFOV) on a current row of detector cells and corresponding to a plurality of angles, acquiring calculated projection coordinates of the calibration phantom on the current row of detector cells and corresponding to the plurality of angles using the description of the forward projection function, and acquiring a calibrated value for the at least one unknown geometric parameter by evaluating the at least one unknown geometric parameter based on the acquired actual projection coordinates and calculated projection coordinates via a nonlinear least square fitting algorithm.

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.

The invention relates to an unmanned aerial vehicle autonomous obstacle detection system and method based on binocular vision. The unmanned aerial vehicle autonomous obstacle detection system and method based on the binocular vision are characterized in that the system comprises a binocular visual system, other sensor modules and a flight control system which are mounted on an unmanned aerial vehicle; the method comprises the steps that the binocular visual system acquires visual information of the flight environment of the unmanned aerial vehicle, and obstacle information is obtained through processing; other sensor units acquire state information of the unmanned aerial vehicle; the flight control system receives the obstacle information and the state information of the unmanned aerial vehicle, establishes a flight path and generates a flight control instruction to send to the unmanned aerial vehicle; the unmanned aerial vehicle flies by avoiding obstacles according to the flight control instruction. According to the unmanned aerial vehicle autonomous obstacle detection system and method based on the binocular vision, the vision information is fused with other sensor information, the flight environment information is perceived, flight path control and path planning are conducted to avoid the obstacles, the problem of vision obstacle avoidance of the unmanned aerial vehicle is effectively solved, and the capacity of completing vision obstacle avoidance by means of a vehicle-mounted camera is achieved.

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.

The invention discloses a method of 3D contour measurement of a workpiece on a conveyor belt based on line laser scanning. The method comprises the following steps of obtaining camera internal and external parameters through camera calibration, carrying out filtering and laser light strip center position initial extraction through an image preprocessing step, carrying out sub-pixel precision refinement on the center coordinates of a light bar, obtaining a light plane equation through the laser light plane calibration and finally carrying out reconstruction and measurement of the three-dimensional contour information of a workpiece to be measured. The workpiece 3D contour measurement brought forward by the invention has the following advantages: a high measurement precision which means thethree-dimensional contour information of the workpiece to be measured can be accurately obtained through the laser light bar extraction with sub-pixel precision and 3D reconstruction; a fast measurement speed which means real-time measurement of 3D contour information of the workpiece to be tested can be realized to improve the efficiency of industrial production site operations; and low hardwarecosts which is realized in a hardware implementation mode in which laser is combined with a monocular camera. Accordingly, the technical method of the application has advantages such as being in a non-contact mode, high in measurement precision, fast in speed and low in cost, and can be applied to an industrial automation production process to realize accurate measurement of the 3D contour information of the workpiece on the conveyor belt.

The invention provides an unconventional oil and gas reservoir horizontal well section full-fracture-length fracturing parameter analog method and device. The method includes the steps of determining an unconventional oil and gas reservoir horizontal well section object region; obtaining three-dimensional earthquake prestack gathered data in the object region, conducting elastic parametric inversion and obtaining a three-dimensional space elastic parameter data body, wherein the three-dimensional space elastic parameter data body comprises a rock mass poisson ratio and Young modulus; calculating a rock mass brittleness index according to the rock mass poisson ratio and the Young modulus; establishing a rock mass mechanical parameter model based on three-dimensional grid nodes according to the three-dimensional space elastic parameter data body and the rock mass brittleness index; calculating stress information on the three-dimensional grid nodes, and generating a three-dimensional stress field distribution model; conducting full- fracture-length three-dimensional numerical simulation of fractures in the fracturing process according to the rock mass mechanical parameter model and the three-dimensional stress field distribution model. The unconventional oil and gas reservoir horizontal well section full-length-fracture fracturing parameter analog method and device can improve effectiveness and accuracy of unconventional oil and gas reservoir horizontal well section full-fracture-length fracturing parameter analog, and improve the reserve utilization degree of a reservoir stratum.

An electronic endoscope system includes a light source device for sequentially emitting kinds of light having different wavelength bands, an electronic endoscope for sequentially illuminating the kinds of light to a subject tissue containing blood vessels, receiving the kinds of reflected light, and outputting image data corresponding to the kinds of received light, an extractor for extracting positions of a blood vessel from each image data corresponding to the kinds of light, an aligner for aligning images corresponding to the image data based on the positions, an image producer for producing an oxygen saturation level image representing the distribution of the oxygen saturation level in the blood vessel from the image data of the aligned images, and an image monitor for displaying the oxygen saturation level image in simulated color.

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.

a medical image radiograping system capable of modifying radiographing order information suitably. In the system, a control apparatus has: an obtaining section for obtaining identification information of a cassette; a storage for storing the identification information related to radiographing order information, and storing the radiographing order information renewed according to radiographing; and a communication section for transmitting the radiographing order information and the identification information, and the control apparatus has: a storage for storing radiographing order information; a communication section for receiving the radiographing order information and the identification information; a determination section for determining whether the radiographing order information received agrees with the radiographing order information stored or not; and a management section for controlling both the radiographing order information stored and the radiographing order information received and the identification information of the cassete, according to a result determined by the determination section.

The invention discloses a nondestructive detection device and a nondestructive detection method for facility crop growth information, and belongs to the technical field of monitoring of facility crops. The device comprises a growth information sensing system, an electric control mechanical rocker arm and a control computer; the control computer drives the electric control mechanical rocker arm to be positioned at a detection position, and controls the growth information sensing system; reflection spectrums of nitrogen, phosphorus, potassium and moisture of crops, multispectral images, canopy temperature characteristic, multispectral morphological characteristics of canopies, stalks, plants and fruits, fruit quality information, and information of environmental illumination, temperature and humidity are acquired by using a multispectral imager and sensors of infrared temperature, irradiance, environmental temperature and humidity and load; nutrient and moisture characteristic spaces are acquired by optimizing and compensating the nutrient and moisture characteristics of the crops; and growth vigor information of canopy area, stalk thickness, fruit quality, plant height and the like is acquired by extracting the multispectral morphological characteristics of the crops, and comprehensive acquisition and nondestructive detection of the growth information of the crops are realized by combining nutrient, moisture and growth vigor characteristics.

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.

Provided are a localization apparatus for recognizing a location of a node in a sensor network and a method thereof. The method includes the steps of: a) selecting reference nodes from a plurality of anchor nodes to be used for triangulation; and b) obtaining location information of a target node by performing triangulation using the selected reference node, wherein in the step a), the reference nodes are selected by removing anchor nodes having obstacle factor from a plurality of the anchor nodes where the obstacle factor causes error in a distance measured by the target node.

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.

The invention relates to a dynamic characteristic parameter test device of a sliding guide rail junction surface, which can be simplified into a single degree of freedom system. The device comprises a base, an installation platform, a fixed guide rail, a wedge-shaped block, an inlaid strip, a sliding block, a plurality of piezoelectric type acceleration sensors, a vibration exciter, an elastic rope, an impedance head, a stand, a normal force applying bolt, a rubber ring, a charge amplifier, a data acquisition unit, a power amplifier and an electronic computer. Compared with the prior art, thedynamic characteristic parameter test device has the advantages that: the structure is compact, the test principle is distinct, dynamic characteristic parameters of the junction surface under different load states can be measured by adjusting the pretightening force of a normal force applying bolt, the vibration exciting force direction passes through the gravity of the sliding block during measurement so that vibration signals of the sliding block and the base can be measured simultaneously, the influence of the vibration signals of the base is eliminated when a frequency response function of a system is calculated, and the characteristics of high efficiency, high stability and high precision are achieved.

The invention mainly belongs to the technical field of information security, and specifically relates to a novel decentralized public key management method and a trusted model. The method is constructed on distributed data network platforms such as a block chain and P2P (Peer to Peer) in order to ensure that all nodes in the platforms can participate in maintenance of whole-life-cycle management of public keys of users, and the changes of the public keys of the users in various states in a life cycle are recorded in a bill form. Through the method, public keys passing verification can be recorded and added into a consistent public key storage structure of a platform to be saved; a public key log chain is generated for all public key records of the same user according to a time sequence, and an authentication chain and a trusted network are formed on the basis of a referrer signature; and efficient search of the public keys can be realized on the basis of user identifiers. Through adoption of the method, the public keys of the users can be issued and acquired conveniently and accurately, and the effectiveness, correctness, consistency and non-fraudulence of acquired public keys are ensured. The method can be taken as an infrastructure supporting authentication, encryption, integrity and accountability services.

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.

An optical recording medium for accurately deriving the address information or the disc rotation control information despite narrow track pitch and for recording signals to a high density, and a method and apparatus for recording and / or reproducing such optical recording medium. The optical recording medium has a wobbled groove and pits formed at a pre-set interval in an area between turns of the wobbled groove. The recording / reproducing method includes controlling rotation of the optical recording medium by a wobbled signal from the groove and detecting the position on the optical recording medium of a recording signal by pit signals detected from the pits. The recording / reproducing apparatus includes a detection device for detecting the wobbled signal from the groove and a detection device for detecting pit signals from the pits. The rotation of the optical recording medium is controlled by the wobbled signals detected from the groove and the position on the optical recording medium of the recording signal is detected by the pit signal detected from the pits.

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.

Location method for locating a portable device (1) from a server (2) configured to communicate with said portable device (1) through a wireless communications network (3), in which said portable device (1) comprises a transmission / receiving module (12), an A-GPS positioning module (11) and a microprocessor (15) configured to manage said modules (11, 12), in which the method comprises the steps of: sending GPS assistance information from the server (2) to the portable device (1) through said wireless communications network (3); obtaining in an A-GPS positioning module (11) of the portable device (1) a GPS signal (4) from a satellite system (8); calculating in said portable device (1) a location of the device (1) itself from said GPS signal (4) and from the GPS assistance information sent by the server (2); sending said location to the server (2) from the transmission / receiving module (12) through said wireless communications network (3). It also comprises the steps of: when the portable device is stopped, hibernating the A-GPS positioning module and the microprocessor, maintaining the transmission / receiving module turned on; and when the portable device is in an area in which it is receiving service from said wireless communications network from a cell recognized by said device and stored in a memory thereof, turning off the A-GPS positioning module, such that the server can provide position information associated to said area without having to interrogate the device, thus saving the battery and increasing the autonomy of the portable device.

A pumping unit supplies pumping light to a fiber connecting medium; a light monitoring unit detects light power of multiple-wavelength light; and a control unit controls the pumping light based on light power detected by the light monitoring unit and connecting medium information indicating optical characteristics in the connecting medium. The connecting medium information includes information indicating a fiber type of the fiber connecting medium, information indicating a length of the fiber connecting medium, an average fiber loss coefficient of the fiber connecting medium and an intra-station loss value.

Embodiments of the invention provide a personalized video recommendation method and apparatus. The method comprises the steps of obtaining a user portrait characteristic corresponding to a user identifier; according to the user portrait characteristic, obtaining a video characteristic model corresponding to the user portrait characteristic; and according to the video characteristic model corresponding to the user portrait characteristic, obtaining a video matched with the video characteristic model corresponding to the user portrait characteristic from a video database and performing recommendation. According to the method and apparatus, a user can quickly and accurately obtain the video interested by the user, so that the video acquisition efficiency is improved, the personalized video demand of the user is met, and the experience of user video search and recommendation is greatly enhanced.

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.