78 results about "Topographical mapping" patented technology

Downhole tools are provided with a topographical pattern, and anti-balling material is provided over the topographical pattern. The topographical pattern may be defined by at least one of a plurality of recesses extending into a surface of a body of the tool and a plurality of protrusions protruding from the surface. Downhole tools include an insert disposed within a recess in a body, and the insert comprises an anti-balling material having a composition selected to reduce accumulation of formation cuttings on the tools when the tools are used to form or service a wellbore. Downhole tools include anti-balling material disposed over a porous mass provided over the surfaces of the tools. Methods of forming downhole tools include providing anti-balling material over features on and / or in a surface of a body of a tool. Methods of repairing downhole tools include removing an insert therefrom and disposing a replacement insert therein.

A method and system control the depth of corneal ablation during optical surgery by mapping the anterior and posterior surfaces of a patient's cornea to obtain full pachymetric topographical mapping of the patient's cornea. The patient's corneal pachymetric topographical mapping is used to identify a desirable corneal bed, and to guide a surgical laser in ablating a portion of the anterior surface of the patient's cornea to produce the desired corneal bed for appropriate vision correction.

The invention discloses a method for processing a vector graph by utilizing a key proportional scale and a similar tile technology. The method comprises the following steps of performing grading on elements in a topographic map and naming levels; performing rectangular block segmentation on each level, and performing numbering; calculating out the key proportional scale of each level, calculatingout a display scale of the level, and performing storage; determining tiles and performing numbering; and performing storage on each piece of tile data, comprising a tile number, a size, a position and graphic data, as a whole body. According to the storage method, the response speed can be remarkably increased during opening as well as panning and zooming of the vector graph in quality graph making software.

The invention discloses a mass three-dimensional digital urban model organization and management method, which comprises the following steps of: framing a range according to a large-scale urban topographic map, and using each frame as a later-stage update unit for data making, storing and filing; when the data is imported to a database, performing quadtree partitioning according to the data range, and making all data block files smaller than a certain threshold value; establishing a data index structure of a spatial quadtree, wherein each node record comprises an external cube of the node; and when a three-dimensional data scene is displayed, rapidly judging whether the cube of the node meets the display demands of the current visual angle and distance in a quadtree node index mode. Therefore, the mass three-dimensional digital urban model organization and management method has the advantages of ensuring data consistency, providing convenience for data update and maintenance and improving the data loading and displaying efficiency.

The present disclosure pertains to a system for determining a synthesized position of a vehicle. In some implementations, the system receives information related to the vehicle's location, the height above the ground surface of the terrain, and the vehicle's orientation from one or more first sensors; obtains a three dimensional topographical map of the terrain based on the location of the vehicle; and receives imagery data from one or more second sensors. The system determines a synthesized position of the vehicle relative to the terrain on the three dimensional topographical map by correlating a first pixel in the imagery data to a first vertex in the map, wherein the correlation is based on (i) pixel calibration information, the pixel calibration information comprising an angular relationship between the first pixel and the first vertex, (ii) the vehicle's height, and (iii) the vehicle's orientation.

The invention discloses a corneal topographic map discrimination method and a corneal topographic map discrimination system based on deep learning. A corneal topographic map obtained in the prior artis preprocessed to obtain corneal topographic feature data capable of being processed by a corneal topographic map discrimination model. The corneal topographic feature data is input into the cornealtopographic map discrimination model, and a corneal morphology result is obtained through the corneal topographic map discrimination model. The corneal topographic map is analyzed through the cornealtopographic map discrimination model to determine the morphological result of the corneal topographic map, a doctor can directly determine the corneal morphology according to the result output by thecorneal topographic map discrimination model, and the prediction accuracy is high. According to the corneal topographic map discrimination method and system based on deep learning provided by the invention, the trained convolutional neural network model is used for carrying out morphological discrimination on the corneal topographic map, and the problem that a corneal morphological discriminationtechnology for carrying out deep learning processing analysis on the corneal topographic map does not exist in the prior art is solved.

The present invention is directed to a method for acquiring elevation data for an area. The method includes using a GPS receiver to map ground elevations while driving back and forth over an area and periodically recording position, elevation, and time. Then, at least one track is made across the parallel tracks so that the cross track intersects the parallel tracks. The data obtained is processed and elevation data from the cross track is used to adjust elevation data for the parallel tracks, compensating for elevation drift in measurements recorded by the GPS receiver. The adjusted data for the entire area is processed using the method of the present invention to obtain an elevation map for the area.

A pressure gauge includes a diaphragm having a substantially rigid outer portion and a displaceable inner portion that displaces in response to a pressure difference between first and second sides of the diaphragm. The pressure gauge further includes a sensor located proximate to the diaphragm and adapted to sense the displacement of the diaphragm inner portion. The pressure gauge further includes a monitor and control system coupled to the sensor (wired or wireless), and adapted to determine the pressure difference from the displacement of the diaphragm. The sensor and the monitor and control system can be implemented with one or more optical sensing designs, capacitive sensing designs, or other devices used to measure sub-micron displacements. For low pressure applications, such as lithography applications, the diaphragm is sensitive to pressure changes in a range of approximately 0.1 to 0.5 inches of water. The diaphragm and sensor have a relatively high bandwidth and can thus be implemented in relatively high speed applications. The invention can be implemented in, for example, lithography proximity sensing equipment and lithography topographical mapping equipment.

A pressure gauge includes a diaphragm having a substantially rigid outer portion and a displaceable inner portion that displaces in response to a pressure difference between first and second sides of the diaphragm. The pressure gauge further includes a sensor located proximate to the diaphragm and adapted to sense the displacement of the diaphragm inner portion. The pressure gauge further includes a monitor and control system coupled to the sensor (wired or wireless), and adapted to determine the pressure difference from the displacement of the diaphragm. The sensor and the monitor and control system can be implemented with one or more optical sensing designs, capacitive sensing designs, or other devices used to measure sub-micron displacements. For low pressure applications, such as lithography applications, the diaphragm is sensitive to pressure changes in a range of approximately 0.1 to 0.5 inches of water. The diaphragm and sensor have a relatively high bandwidth and can thus be implemented in relatively high speed applications. The invention can be implemented in, for example, lithography proximity sensing equipment and lithography topographical mapping equipment.

A travel route generating device for a work vehicle includes a cell memory to store cell information with respect to cells obtained by dividing a topographical map of a work field in which the work vehicle works. A travel probability memory is to store a travel probability with respect to each of the cells. The travel probability includes a left-turn travel probability, a straight travel probability, and a right-turn travel probability in each of the cells. Circuitry is configured to determine a travel direction in each of the cells based on the travel probability of each of the cells. The work vehicle is configured to travel through each of the cells in the travel direction. The circuitry is configured to change the travel probability with respect to affected cells affected by moving the work vehicle through each of the cells.

The present invention combines an existing photogrammetric mapping system for building-model reconstruction. Topographic maps and models are produced simultaneously. The models can be edited along with aerial images in an online environment. Thus, efficiency and accuracy for building-model reconstruction are increased.

The present invention relates to a sport stick that measures the driving force generated by the upper body, which is applied to the ground through poles during the natural performance of nordic walking or any other sport, where poles are used to drive / propel the body forward. An inclination sensor along with a pole length sensor (pole length constant in a fixed length pole) has been placed into the pole for the achievement of the most suitable biomechanical performance, i.e. proper technique. The sport pole uses the Global Positioning System along with a topographical map to ensure that the slope of terrain does not affect the inclination sensor measurements. All collected data is analyzed by a control center, wherein correct usage models have been saved along with a collection of the user's anthropometric and fitness levels.

The invention provides an underwater three-dimensional map construction method based on sonar and visual image splicing. The underwater three-dimensional map construction method comprises the steps of adopting an underwater robot carrying a mechanical scanning ranging sonar and a monocular camera for conducting visual image and sonar ranging data collection on an underwater environment at the same time; associating the sonar ranging data with the visual imaging data, performing dimension expansion on each frame of image, and adding the sonar ranging data to construct a three-dimensional map on the basis of the two-dimensional topographic image; carrying out multi-frame image expansion splicing by adopting an image splicing algorithm based on dot-line features and base on a local homography matrix model of grids to realize three-dimensional panoramic map synthesis. According to the method, multiple sensors are adopted to construct the underwater map, the complementarity is high, the problem that edge distortion is serious when a wide-angle camera is used is solved, and the three-dimensional panoramic map with the high visualization effect and accuracy is constructed.

The invention provides a keratoconus recognition method and device, and the method comprises the steps: taking various types of corneal morphological data as the input data of a neural network, extracting the high-dimensional features of the data for classification, obtaining a classification result related to various types of keratoconus, and converting the manual observation of corneal topographic map data into a machine recognition process. According to the method, the neural network is used for replacing manual work to subdivide the types of the keratoconus, reference information used fordiagnosis is rapidly and accurately provided, and therefore the working efficiency of doctors can be improved, and high accuracy is achieved.

The invention discloses an urban and rural planning result data multidirectional conversion method, and the method comprises the following specific steps: preprocessing a CAD topographic map, and dividing the CAD topographic map into map layers; creating a mapping relation table according to the coating attribute mapping relation; checking a topological problem in the source CAD data, and generating an error reporting data file path; automatically associating the plot code in the CAD planning soil file with the planned plot; determining urban and rural planning database standards according toan excel format method, generating a standard GIS format database, and transferring the CAD format planning drawing file into the standard format database; extracting CAD topographic map elements andconverting the CAD topographic map elements into a GIS database file; dividing layers according to layer fields, and exporting CAD color blocks as points, lines and surfaces; and converting the GIS format database into CAD format data according to the filling color and the line width style of the original CAD planning drawing file, and keeping the color and the line width style of the exported drawing file consistent with those of the original planning drawing. According to the method, the workload of data conversion is reduced to the maximum extent, and the working efficiency is improved by about 200%.

The invention discloses a pain detecting and positioning method and system based on brain waves and neural network, and the method comprises the steps: removing related noise of original electroencephalogram signals through independent component analysis, carrying out the pain grading of the electroencephalogram signals, carrying out the processing through a signal time division window, integrating the pain level data and then establishing a pain level data set; respectively generating spectral topographic maps of time windows of Theta, Alpha and Beta frequency bands related to pain through Fourier transform, azimuth isometric projection and a CloughTocher interpolation algorithm, and combining the spectral topographic maps into a multi-channel electroencephalogram sequence; obtaining a time-space feature vector of a brain wave sequence related to the pain degree and the pain position through a CNN-LSTM-AM neural network; and inputting the brain wave pain features learned by the CNN-LSTM-AM neural network into the pain classifier model to evaluate the pain level and the pain position. According to the invention, the pain degree change and position change characteristics of the brain waves can be accurately and efficiently extracted and processed, and the pain level and the pain position can be automatically identified.

The invention discloses a deep-sea seabed obstacle identification method based on deep learning, and the method comprises the following steps: calibrating a camera, and obtaining the internal and external parameters of the camera; collecting and preprocessing an image data set, and carrying out mold offline training and evaluating; collecting a submarine topographic image, and measuring the distance from the camera to an obstacle; processing the collected image based on a deep learning semantic segmentation technology, and obtaining feature parameters of the obstacle; fusing the internal and external parameters obtained through calibration and the measured distance parameters through a data fusion module, converting the characteristic parameters of the obstacle into actual parameters of the obstacle, and therefore basic information of the obstacle is obtained. According to the identification method, the deep learning technology, camera calibration, laser ranging and other methods are fused to obtain the actual characteristic parameters of the obstacle, so that the mobile deep sea sampling equipment can carry out driving trafficability analysis, automatic obstacle avoidance and path planning research.

The invention discloses a cornea image point cloud selection method and system, an intelligent terminal and a storage medium. The method comprises the steps: obtaining a cornea Placido image, and carrying out the image enhancement of the cornea Placido image, so as to achieve the image texture enhancement of the cornea Placido image; based on the cornea Placido image after enhancement processing,identifying a bright ring center point in the cornea Placido image after enhancement processing; and based on the bright ring center point, determining a bright ring and a dark ring in the cornea Placido image after enhancement processing, and selecting point cloud according to the bright ring and the dark ring. According to the method, the point cloud density of the Placido image is further improved while the bright ring recognition difficulty is not increased, and the accuracy of the corneal topographic map can be further improved.

The invention discloses a topographic image suitability analysis method and device and a readable storage medium. The method comprises the steps of obtaining a to-be-analyzed topographic image; segmenting the to-be-analyzed topographic image based on a preset image segmentation algorithm to obtain a superpixel set; analyzing the suitability of the to-be-analyzed topographic image based on the superpixels in the superpixel set; wherein suitability is used for determining whether the actual topographic data corresponding to the topographic image to be analyzed is matched with the reference topographic data or not. The situation that the suitability of the to-be-analyzed topographic image is directly analyzed through pixel points is avoided, so that the complexity of the analysis process is reduced.

The invention discloses a simulation image generation method and device. The method comprises the following steps: determining a working imaging model and camera parameters of a camera; determining acamera imaging area and a pixel imaging area of the camera according to the digital topographic map of the target object, the working imaging model and the camera parameters; and generating a simulation image of the target object according to the pixel value of the pixel imaging area, the simulation image at least comprising a camera image oriented to a deep space exploration task digital simulation system. According to the invention, the technical problem that the camera image for the deep space exploration task digital simulation system cannot be effectively obtained in the related technology is solved.

The embodiment of the invention discloses a multi-modal information guided bypass blood vessel determination method and system for intracranial and extracranial blood flow reconstruction. The method comprises the steps of obtaining a thin-layer magnetic resonance image of the brain of a patient; Obtaining a skull structure model of the brain of the patient; Obtaining a whole-brain angiography image of the brain of the patient to obtain blood vessel structure information of the brain of the patient; Obtaining cerebral blood perfusion and metabolism images of the brain of the patient to obtain metabolism and perfusion level information of the brain of the patient; Obtaining a whole brain neuron electrical activity energy spectrum and a function connection topographic map of the patient to obtain neuron activity level information of the brain of the patient; Fusing the skull structure model, the vascular structure information, the cerebral blood perfusion and metabolism information and the neuron activity level information to obtain a multi-modal stereo image of the brain of the patient; And according to the three-dimensional image, determining an operation area of the brain hemisphere of the patient, and determining an alternative bypass blood vessel. By adopting the method provided by the invention, the selection precision and reasonability of the alternative bypass blood vessels can be improved.

A method of forming a topographical pattern in a surface of a resist layer, comprising sequential steps of:(a) providing a substrate having a surface;(b) forming a desired thickness resist material layer on the substrate surface;(c) subjecting selected areas of the surface of the resist layer to exposure to an energy beam to form therein a latent image of a desired topographical pattern to be formed therein;(d) contacting the surface of the resist layer with a liquid developing solution comprising a preselected solvent for developing the latent image into the desired topographical pattern while simultaneously supplying ultrasonic energy thereto, the combination of supplying the ultrasonic energy to the preselected solvent providing an increased developing interval and improved image contrast between the exposed and unexposed areas of the layer of resist material, relative to when the liquid developing solution does not comprise the preselected solvent and the ultrasonic energy is not supplied thereto.

The present disclosure pertains to a system for providing persistent mission data to a fleet of vehicles. In some implementations, the system receives (i) information related to a first vehicle's location, the altitude of the first vehicle, and the first vehicle's orientation from the one or more first sensors and (ii) imagery data from one or more second sensors disposed on the first vehicle, wherein the imagery data includes instantaneous imagery and previously recorded imagery. The system geolocates the imagery data based on the first vehicle's altitude and the first vehicle's orientation relative to the terrain. The system transmits one or both of the instantaneous imagery or the previously recorded imagery to a fleet of vehicles. The system effectuates presentation of the imagery data on a three dimensional topographical map of the terrain.

Generation of treatment recommendations for topographic-based excimer laser surgical procedures is described that includes generating accurate cylinder compensation and spherical compensation values that are adjusted to compensate for unique characteristics of advanced topographic-based excimer laser surgical systems. Generating treatment recommendations generally includes determining a topographic vector from a topographic corneal map of the eye, determining a posterior astigmatism vector and an anterior astigmatism vector for the eye, and generating an interior astigmatism vector using the topographic vector, the posterior astigmatism vector, the anterior astigmatism vector, and a manifest astigmatism vector. In various embodiments, the cylinder compensation is generated using the interior astigmatism vector and the posterior astigmatism vector, and the spherical compensation is generated using an initial spherical compensation modified by a topographic addback modifier and a cylinder addback modifier.

The invention discloses a cornea center positioning method for excimer laser corneal refraction surgery, which comprises the following steps of: setting an illumination brightness value, concentrating the illumination brightness value on a cornea part, acquiring and recording pupil size and the position of the pupil center relative to the vertex center of a corneal topographic map through an instrument, and transmitting the collected image to a computer processing equipment; meanwhile, collecting the diameter R of the pupil through the computer processing equipment, the computer processing equipment is used for determining a value taking area according to the circle center of the pupil, all points are selected in the area according to accumulated values and set as the circle center to be determined, meanwhile, the distance between the boundary point and the circle center is calculated, the accumulated value data are compared, therefore, the linear distance between the circle center of the cornea and the circle center of the pupil is obtained, manual positioning and sensory positioning by a doctor are not needed, the accuracy of cornea center positioning is guaranteed, meanwhile, errors are greatly reduced, and actual application and operation are facilitated.

The invention discloses a myoelectricity and pressure combined hybrid sensor. The sensor comprises eight identical sensing modules, a data acquisition module, a wireless adapter and an upper computer.Floating electrodes of myoelectric electrodes of the sensing modules 1-8 are cavities customized based on PDMS; the cavity is adhered to the periphery of a barometer on a circuit board to form a closed space; and electrodes in the middle are integrally fixed on the PDMS through a gasket, and the myoelectric electrodes are elastic in the axial direction, limited to only move in the axial directionand used as pressure probes applied to the electrodes. According to the invention, the structural complexity of an electromyography and mechanical topographic map measurement system is reduced; the number of sensing modules in EMG-MMG measurement is reduced, the problem that different sensor probes are needed for measuring EMG and MMG signals through a hybrid electrode is solved, the synchronismof the EMG and MMG signals in time and space is ensured, and modularization and integration of the EMG-MMG measurement system are achieved.

The invention discloses a method for acquiring a large-view-field incident wavefront aberration of individual human eyes. The method specifically comprises the following steps: S1, constructing a semi-personalized emergent eye model according to corneal topographic map data, human eye emergent wavefront aberration data and Navarro human eye model parameters; S2, optimizing a crystalline lens of the semi-personalized emergent eye model to obtain a large-view-field emergent personalized eye model; and S3, carrying out the inversion operation on the large-view-field emergent personalized eye model to obtain a large-view-field incident personalized eye model; and obtaining the large-view-field incident wavefront aberration of the human eyes based on the large-view-field incident personalized eye model. According to the method, the large-view-field incident wavefront aberration of the individual human eyes can be obtained only by means of existing clinical technical conditions, and the method has the characteristics of large in view field angle for analysis and easiness for popularization.

The invention discloses anMI-BCI system based on multi-scene induction and a control method thereof. The system four types of target guide type motor imagery induction scenes, namely sound characters, picture videos, 3D life scenes and virtual game scenes. a subject is inducted to perform motion imagination at different angles. During training, multi-channel EEG signals in a brain motion area are collected. Through signal preprocessing, feature extraction and PSO-SVM intention recognition, a result is outputted to a virtual scene for interactive control, thereby forming a closed-loop feedback training system. A dynamic brain topographic map is drawn by evaluating the nerve activation degree of a motion area so that visual nerve feedback reflecting the brain activation condition is provided for the subject. Adaptive switching adjustment is made on the training scene according to the current nerve activity degree to ensure that the subject is continuously in a motor nerve maximum degree activated state so as to improve the recognition rate of the system.

Additive manufacturing systems using artificial intelligence can identify an anomaly in a printed layer of an object from a generated topographical image of the printed layer. The additive manufacturing systems can also use artificial intelligence to determine a correlation between the identified anomaly and one or more print parameters, and adaptively adjust one or more print parameters. The additive manufacturing systems can also use artificial intelligence to optimize one or more printing parameters to achieve desired mechanical, optical and / or electrical properties.