53results about How to "Improve spatial precision" patented technology

The invention discloses a determination method for a rainstorm-induced shallow landslide disaster warning threshold value. The method comprises the steps of first, performing slope unit division basedon a DEM (Digital Elevation Model); then, establishing a stability analysis warning model based on the slope units and a critical infiltration capacity; setting five warning grades, and calculating acritical infiltration capacity threshold value of each of the five warning grades according to a meaning represented by an FS (Factor of Safety) index; and finally, establishing a landslide rainfall-infiltration model based on the slope units, calculating a relation between the infiltration capacity and a rainfall capacity of each slope unit under a specific raining condition, and reversely deducing a critical rainfall capacity of each slope unit through the critical infiltration capacity. According to the determination method for the rainstorm-induced shallow landslide disaster warning threshold value, the slope units and rainstorm influence coefficients are imported into rainstorm-induced shallow landslide mass measurement modeling, thereby improving the work efficiency of landslide warning, improving the spatial precision of landslide warning and providing basic data for researches of landslide control. The method can be applied to landslide disaster warning work in a mountainousarea and provide scientific basis for disaster prevention and reduction of the mountainous area.

A digital test system for detecting the dynamic variation of two pupils is composed of a hardware system consisting of light isolating eye mask, miniature camera, focus distance and pupil distance regulator, image acquisition card and computer, and a software system comprising the image acquiring, extracting and storing module, image and video playback module, database and its management module, light stimulating program module, disease characteristics database module, expert database module, and expert judgment and management module.

A method of making a deflectable, free hanging micro structure having at least one hinge member, the method includes the steps of providing a first sacrificial wafer having a single crystalline material constituting material forming the micro structure. A second semiconductor wafer including necessary components for forming the structure in cooperation with the first wafer is provided. Finite areas of a structured bonding material is provided, on one or both of the wafers at selected locations, the finite areas defining points of connection for joining the wafers. The wafers are bonded using heat and optionally pressure. Sacrificial material is etched away from the sacrificial wafer, patterning the top wafer by lithography is performed to define the desired deflectable microstructures having hinges, and subsequently silicon etch to make the structures.

The invention discloses a moving target detection method based on a deep optical flow and a morphological method, which includes the following steps: (1) collecting video data, marking sample videos,randomly dividing the sample videos into a training set and a testing set, carrying out mean calculation on the processed training set and the processed testing set to form a training set mean file and a testing set mean file, and completing the preprocessing of the training set and the testing set; (2) constructing a fully convolutional neural network architecture composed of a coding part and adecoding part, and carrying out training by using the training set and the testing set through an adaptive learning rate adjustment algorithm to get trained model parameters; (3) inputting image dataneeding detection to a trained fully convolutional neural network to get a corresponding deep optical flow graph; (4) processing the deep optical flow graph through an Otsu threshold adaptive segmentation method; and (5) morphologically processing the data after threshold segmentation, removing outliers and slots, and finally obtaining a detected moving target area.

A ophthalmic aberrometer uses a wavefront sensor aligned with an eye under examination through an optical path and a light source for introducing a light beam into the eye via the optical path, wherein the optical path has a reference through which the light beam passes before passing to an eye retina to form a reference spot on the retina, a focus dynamic range extender, and an astigmatism dynamic range extender positioned in the optical path between the reference and an eye under examination. The wavefront sensor is positioned to receive a wavefront reflected from the eye retina via the optical path.

The invention discloses a cone-beam CT multi-directional scanner, which comprises a host machine frame, a cone-beam CT scanning device, a scanning frame and a rotary drive device; the cone-beam CT scanning device is installed on the frame body of the scanning frame, The scanning frame is connected with the host frame through a rotary driving device, so that the scanning frame can turn over inside the host frame. When flipped to a horizontal state, the human body can be scanned in a standing position; when the flipped to a vertical state, a human body can be scanned in a supine position. The cone-beam CT multi-directional scanner of the present invention can change the current situation that it is impossible to obtain three-dimensional bone image data in the upright position of the human body, and can also change the current situation that the image resolution accuracy of the sagittal plane of the CT image is relatively low. Three-dimensional cone-beam CT imaging and two-dimensional DR shaping can be performed in the standing and lying positions to obtain high-quality three-dimensional images of the human skeletal system and soft tissues with high-quality spatial precision and high-quality density precision.

A channel logo segmentation method based on a fully convolutional channel logo segmentation network includes the steps of constructing a multi-type fine-grained channel logo data set, the channel logoimage set containing a total number of 8400 images covering 42 categories; according to a channel logo region extraction method of pixel-by-pixel labeling, establishing a binary label image set corresponding to the channel logo image set and converting the binary label image set into an L-type single-channel gray image set; establishing a fully convolutional channel logo segmentation network of an end-to-end encoder-decoder structure, training the fully convolution label segmentation network on the channel logo data set, inputting a test image of any size in the channel logo image set to thetrained fully convolutional channel logo segmentation network, and generating a pixel-level segment result of the same size as the input image. The method of the invention helps the deep convolutionalneural network to realize powerful performance and solves the problem that the tiny target segmentation results are not precise enough. The network model can delineate a tiny target, thereby improving the spatial precision of the output, and is suitable for being applied to the tiny target segmentation method.

The present invention relates to a method for the determination of the stresses occurring in wood when drying or being dried. With the method in accordance with the invention, electrodes are used to generate an electric field in drying wood in order to measure the electric complex spectrum using the impedance spectroscopy method while at the same time employing sensors k to measure acoustic emissions from drying wood and using the results for calculating the parameters required for determining the stress state existing in the wood and for monitoring and/or controlling the drying process.

The invention discloses a dynamic GNSS measurement data anti-outlier bidirectional smoothing filtering method, and aims at solving the technical problems that existing bidirectional smoothing filtering methods are poor in precision. The technical scheme is that an existing bidirectional filtering smoothing algorithm is improved based on state continuity of time sequence measurement data. Firstly system prediction error covariance judgment is performed on measurement data entering a kalman filter so that outlier identification and elimination of the measurement data are realized, and state estimation convergence of the filter can be ensured; in the forward filtering process, state estimation values, error estimation values and filtering prediction values in the forward filtering process are recorded; then state estimation and prediction are performed on each measurement point through an independent backward reverse filtering method; and finally the state estimation values are integrated through combination of the error estimation array of forward filtering and backward filtering so that an optimal measurement value is obtained, and high-precision dynamic measurement data are obtained finally.

The invention discloses a microseism ground monitoring device and a seismic source positioning method. The microseism ground monitoring device comprises a data acquisition and processing module, a signal transmission module and a power supply module. The data acquisition and processing module comprises a geophone used for receiving a microseism analog signal; the geophone is connected with a signal conditioning module, which is connected with an A/D conversion module; the A/D conversion module is connected with a processor module, which is respectively connected with a data storage module anda global navigation satellite module; the processor module is connected with the signal transmission module; and the power supply module is connected with the data acquisition and processing module and is used for supplying power to the data acquisition and processing module. According to the invention, a superimposed energy scanning imaging technology which does not need to extract the first arrival of a signal event is adopted to carry out ground seismic source positioning, and the seismic source position can be effectively determined on the premise of not high requirement on signal source quality; microseism real-time positioning and monitoring can be supported through the server; and meanwhile, a mobile 4G signal is adopted, and the advantage of low signal transmission cost is achieved.

The invention discloses a method for evaluating the influences of double rotary tables on space errors of a five-axis machine tool. The method includes the steps that a test part model is established; geometric error parameters of the double rotary tables on the five-axis machine tool are measured, and perpendicularity error parameters of three linear axes on the five-axis machine tool are measured; the space errors caused by geometric errors of the double rotary tables are calculated through a homogeneous coordinate transformation matrix; contour errors caused by servo errors of the double rotary tables are calculated through direction vectors of a tool axis; space errors, integrating the geometric errors and the servo errors of the double rotary tables, of the five-axis machine tool are calculated. The space error evaluating method can be used for evaluating the space errors, independently caused by the double rotary tables, of the five-axis machine tool, and a scientific basis is provided for reasonably adjusting structural parameters of the double rotary tables at the structural design stage of the five-axis machine tool through early evaluation.

In a method for producing a stereotactic image of a patient fixed in a mammography device for a biopsy, a computerized control and evaluation unit waits for a start signal to be given by an operator, and after receipt of the start signal, automatically implements the following steps. An x-ray apparatus of the mammography device is positioned in a first predetermined imaging position, and a first image of the patient is acquired with the x-ray apparatus in this position. The x-ray apparatus is then pivoted into a second imaging position, different from the first, and a second image of the patient is acquired at the second position. The first and second images are acquired to form a stereotactic image of the patient.

The present application discloses an automatic positioning system and method for human body transcranial ultrasound stimulation based on a mechanical arm. The system is used to automatically perform ultrasonic stimulation to a preset position of the head and comprises an input module, a spatial positioning module, an ultrasonic stimulation module, a safety ellipsoid determination module and a control module; the input module is used to input brain CT or magnetic resonance scan data of subjects; the spatial positioning module is used to obtain real-time three-dimensional coordinate informationof the head and to obtain real-time three-dimensional coordinate information of the ultrasound stimulation module; the safety ellipsoid determination module is used to determine a safety ellipsoid that surrounds the entire head and forms a predetermined safe distance from an outer surface of the head; and the control module is used to control a multi-degree-of-freedom mechanical arm to drive a ultrasound transducer coupling device to move, so that the ultrasonic transducer coupling device and the head form a fit contact at a preset position of the scalp. The automatic positioning system and method have advantages of high spatial accuracy and high reliability.

The invention provides a debris flow disaster early warning method and system based on runoff confluence simulation, wherein the method comprises the steps: carrying out small watershed division of an early warning area, and taking the small watershed division as an early warning basic unit; obtaining a debris flow disaster risk probability background value, a runoff confluence water depth and a gully opening distance factor, and calculating a debris flow disaster early warning result; based on historical debris flow disaster point data of the early warning area, calculating a debris flow disaster risk probability background value and a weight of runoff confluence water depth; and calculating a debris flow disaster early warning result based on the debris flow disaster risk probability background value, the runoff confluence water depth and the gully opening distance factor within the to-be-predicted time in the early warning area so as to carry out debris flow disaster early warning judgment. According to the method and system, early warning of debris flow disasters can be carried out more quickly and accurately.

The invention discloses a population spatial distribution prediction method and system based on POIs data, and the method comprises the steps: dividing a to-be-predicted region into q grids, and enabling each grid to be a region with a preset area; counting the number of the POIs in the q grids; taking the number of the POIs as an input variable, and inputting the input variable into a preset BPNNmodel; and outputting a population distribution prediction result in each grid. Compared with population spatialization research using night light and land utilization data as auxiliary data, the spatial precision of the population spatialization research using POIs is greatly improved. Rapid and high-spatial-resolution population density spatial prediction can be realized and spatial distribution prediction of population is realized by utilizing a machine learning BPNN model, and the prediction result is relatively high in precision. POIs are introduced to serve as single auxiliary data, spatial distribution prediction of population is achieved through a BPNN model, and fine-scale population spatialization prediction can be achieved.

What is described is a placement machine (100, 300, 500) for equipping a substrate (190) with unhoused chips (282). The placement machine (100, 300, 500) has (a) a chassis (112); (b) a feed device (140) for providing a wafer (180) which has a multiplicity of chips (282), wherein the feed device (140) is mounted on the chassis (112); (c) a lifting device (513), which is mounted on the chassis (112); (d) a substrate-receiving device (130) for receiving the substrate (190) to be equipped, wherein the substrate-receiving device (130) is mounted on the lifting device (513) and can be moved relative to the chassis (112) along a z-direction by means of the lifting device (513); and (e) a placement head (120) for picking up chips (282) from the provided wafer (180) and for placing the picked-up chips (282) at predefined placement positions on the received substrate (190). The substrate-receiving device (130) has (d1) a one-piece support element (132, 332, 532), which constitutes at least an upper part of the substrate-receiving device (130), wherein the substrate (190) to be equipped can be laid on the one-piece support element (132, 332, 532); and (d2) a transport device (160) for transporting the substrate (190) on an upper side of the one-piece support element (132, 332, 532) along a transport direction (T). The transport device (160) is spatially integrated in the one-piece support element (132, 332, 532) on the upper side of the one-piece support element (132, 332, 532). A method for equipping a substrate (190) with unhoused chips (282) using a placement machine (100, 300, 500) of this type is also described.

An apparatus for spatially correcting an image frame is disclosed. In some embodiments, the apparatus stores a frame of pixel values and scans a multi-pixel correction window across the frame. Spatial correction is performed on pixels within the window at correction positions during the scan. The spatial correction comprises estimating pixel values at value estimation positions based on one or more pixel values within the window for pixels satisfying a logical condition. The value estimation positions correspond to pixel values which do not fall within the window again during the scan. Further disclosed is an apparatus for detecting high-energy radiation, in which integration circuitry is used for integrating charge responsive to radiation photon interaction events. The circuits are controllable in accordance with an exposure control signal to vary an exposure window duration according to an operating parameter of the apparatus.

The invention discloses a garbage classification recycling facility adding method and system based on step suitable index improvement, and belongs to the field of municipal engineering and remote sensing. The problem that existing garbage can not be collected and transported in time due to excessive daily energy generation is solved. The method comprises the following steps: acquiring OSM road network data, DEM elevation data, population density and residential area data; connecting OSM road network breakpoints; obtaining a garbage classification output ratio, and calculating a facility score weight according to the garbage classification output ratio; calculating a step-suitable distance attenuation index; obtaining a recovery function index according to the distance attenuation index and the facility score weight; substituting the longitude and latitude of the to-be-calculated area, the OSM road network data and the DEM elevation data into a WalkScore algorithm to calculate and obtain a walking environment index; normalizing the recovery function index and the walking environment index, and adding to obtain a step suitability index; visualizing the step suitability index and the garbage space distribution position, setting a threshold value, and additionally arranging a garbage recycling facility for the space distribution position not higher than the threshold value. The device is used for additionally arranging the garbage classification recycling facility.

The invention pertains to a method for detecting a tag (100) in an area monitored by one or more beacons (200), the tag (100) comprising a magnetic induction module (121) and a transmitter (140), the method comprising the following steps at said tag: receiving, by means of said magnetic induction module, a first beacon message as variations in a magnetic field, said first beacon message comprising beacon information; extracting said beacon information from said first beacon message; and conditionally on said beacon information, transmitting a localisation message by means of said transmitter (140).

The invention discloses a cosmic ray neutron instrument spatial characteristic simulation method combined with remote sensing data, and aims to solve a problem that a cosmic ray neutron method is difficult to reflect spatial heterogeneity in soil moisture measurement. The method comprises the following steps of calculating a normalized vegetation index and surface temperature by using Landsat8 remote sensing data; the invention provides a soil moisture content horizontal direction parameter correction method considering underlying surface condition factors such as surface vegetation and surface temperature, and combines neutron footprint characteristics of a cosmic ray neutron detector and soil types to simulate soil moisture vertical correction parameters; so soil moisture three-dimensional space distribution characteristic simulation within the observation range of the cosmic ray neutron detector is achieved, the precision degree of soil moisture observation of the cosmic ray neutron detector is improved, the soil moisture space distribution difference in a measurement area is objectively reflected, and a foundation is laid for soil moisture remote sensing authenticity inspection.

An apparatus which comprises an expansion unit configured for expanding a foil, and a mounting unit configured for subsequently mounting the expanded foil on a frame and a workpiece, in particular a wafer, on the expanded foil.

A spatial sensing region is set in accordance with a spatial sensing function of a first operation detection unit included in a first operation device, and another spatial sensing region is set in accordance with a spatial sensing function of a second operation detection unit included in a second operation device. The first operation device and the second operation device are arranged in a vehicle interior. For example, when the second operation detection unit of the second operation device detects a forward movement of a hand, it is determined that an operator intends to operate the first operation device and control is performed such that a display screen of the first operation device is turned on, for example.

The invention provides a method for preparing a polylactic acid flexible strain sensor with a silver nanowire and application of the polylactic acid flexible strain sensor, and the method comprises the following steps: heating a polylactic acid film, enabling the polylactic acid film to stand for a set time, and spin-coating a silver nanowire solution on the polylactic acid film; cutting the driedpolylactic acid film is cut, and binding a copper electrode to the edge through elargol and covering the area coated with the silver nanowires; focusing femtosecond laser pulses at different heightsand different positions, enabling the treated polylactic acid film to be subjected to three-dimensional processing, obtaining the flexible strain sensor. The preparation process is simple, and the preparation precision is high.