961results about How to "Reduce data processing" patented technology

A data exchange unit is arranged in a server. Service data provided as an application service is converted into a predetermined format on the basis of the attribute data of a terminal as a communication partner and is transmitted. With this processing, the application service can be provided while adjusting the relative difference in processing capability terminals. When the service data is converted into a predetermined format on the basis of the attribute of a communication network connected to the terminal and transmitted, the application service can be provided while adjusting the relative difference in communication capability among communication networks. Also, terminal equipment 51 is able to communicate with server computer while keeping the security function.

The invention discloses a method for processing a space hand signal gesture command based on a depth camera and relates to the method for processing the space hand signal gesture command based the depth camera. The method for processing the space hand signal gesture command based the depth camera is capable of recognizing space hand signal gesture command information fast and accurately, improving working efficiency and precision greatly and being high in robustness, strong in practical applicability and good in anti-jamming capability when applied to a complex and changeable environment. The method comprises the steps of acquiring a real-time image by the depth camera, obtaining hand signal point cloud data by using three-dimensional point cloud computation and obtaining hand signal point cloud information, achieving a plane registering of the hand signal point cloud information and extracting contour feature point information, resuming a hand signal gesture, recognizing the hand signal gesture, recognizing a corresponding movement track and defining operation content of the movement track and finally achieving data smoothing of a dynamic hand signal gesture mouse output point according to a protocol for table-top tangible user interfaces (TUIO). The method for processing the space hand signal gesture command based the depth camera has the advantages of being fast , comprehensive and accurate in acquiring target information, establishing a space motion detecting area, extracting information with different depth, achieving multi-touch and improving integral operating performance.

The invention relates to a driving assistance system and a real-time warning and prompting method for a vehicle. Image data of collected targets in front of a current vehicle is collected through an image collection module, then, a lane target in the image data is recognized by a traffic target recognition submodule, a region of interest is marked out according to the recognized lane target, and the region of interest is served as a key recognized target; and the image collection module is controlled by a data processing module to take a lane corresponding to the region of interest as an image collection target. Therefore, after the region of interest is mainly detected, the image collection module is capable of collecting image data required by a user more in time without collecting all forward data, therefore not only is collection capacity of the image collection module lowered but also data processing capacity of the data processing module is reduced, so that calculation amount of the whole system is reduced, calculation speed is accelerated, and warning response time is shortened.

Camera sections pick up divided images obtained by dividing a panorama image to generate image data at a high resolution. Image data processing sections perform compression encoding on the image data at the high resolution through encoder to obtain first compressed image data. The image data processing sections perform size change to obtain image data at a low resolution and perform compression encoding on the image data through another encoder to obtain second compressed image data. A data transfer section transmits the first and second compressed image data through a network to an image display apparatus.

The invention discloses an intelligent water resource control platform based on cloud computing and an expert system. The platform comprises a site measurement and control station, an internet of things data transmission system and a cloud computing service platform, and is characterized in that the control platform carries out automatic real-time collection on water resource information of a water supply water source, underground water, a water intake, a boundary control fracture surface and a sewage draining exit and site equipment operating condition information through the site measurement and control station, and real-time data preprocessing is achieved by means of an additionally installed site intelligent controller; internet of things data transmission equipment is adopted in the internet of things data transmission system to sent data of the measurement and control station to the cloud computing platform, and data support is provided for water resource management and advanced applications; the cloud computing service platform achieves real-time monitoring on water resources, monitoring on operating condition and remote on-line maintenance on site monitoring equipment and applications on water resource service, and a water resource decision is utilized to support the expert system to achieve assessment, early warning and emergency commanding of the water resources. The cloud computing and the Internet of things technology are applied to the platform, so measurement and control data are timely and efficiently processed, the intelligent computing technology is applied so that intelligent assessment and early warning of the water resources can be achieved, and safety of the water resources is guaranteed to a great extent.

The invention relates to the technical field of image display, and provides a projection screen display method, a system and a storage medium. The method comprises the following steps: receiving projection screen images sent by more than one projection screen device in real time; Selecting a sub-image from the projection image; processing and displaying The sub-image on the display screen in realtime. different from the prior art, the projection screen device only needs to send a complete projection screen image, and the display device selects sub-images from the projection screen image for display, and the display device can display the sub-images after processing, so that the image projection screen display is more flexible, and the image projection screen display has better display effect and better versatility.

The embodiment of the invention provides a medical image detection method and device based on deep learning, a computer readable medium and an electronic device. The method comprises the steps of obtaining a to-be-detected medical image, wherein the to-be-detected medical image comprises a plurality of adjacent slice images; extracting to obtain N basic feature maps of each slice map through a deep neural network; performing feature fusion on the N basic feature maps of each slice map to obtain M enhanced feature maps of each slice map; performing a hierarchical void convolution operation on each enhanced feature map to generate a superposition feature map of each enhanced feature map; predicting focus position information and confidence coefficient thereof in the to-be-detected medical image according to the superposition feature map; wherein N and M are both positive integers greater than 1. According to the technical scheme provided by the embodiment of the invention, the target detection accuracy of the medical image can be improved.

The present invention relates to a computer-readable data storage medium comprising a graphic dataset in the form of a tiled mipmap 101, and to a method of extracting from said computer-readable data storage medium to a computer memory a subset of said mipmap 101 in the form of a clipmap 109. The present invention relates also to a computer memory containing such a clipmap 109, as well as to a method of rendering said clipmap 109 in a computer system. At each level of detail of the mipmap but the lowest, a tile block 105 formed by a discrete plurality of tiles 104 is coextensive with a whole single tile 104 at the next lower level of detail of the tiled mipmap 101.

The invention belongs to an infrared dim-small target detection method based on shear wave conversion in the infrared image processing technology. The method comprises the following steps: processing an original infrared image by employing nonsubsampled Laplace pyramid conversion and a Shearlet filter in succession to obtain high frequency information graphs of various directions under different scales, inhibiting background and noise interference information, enhancing target information and extracting a dim-small target. According to the invention, the nonsubsampled Laplace pyramid conversion and a Shearlet filter are employed to process the original infrared image, through same scale and different scales fusion processing of the obtained the high frequency information graphs, the interference information is inhibited, the target information is enhanced, and the high frequency information graphs are subjected to segmentation to obtain a clear dim-small target graph; thereby the method has the characteristics of a short detection processing flow, small data processing amount, short processing time, capability of effectively raising performance of detecting the infrared dim-small target and obviously distinguishing a target and a complex background in the image, a good effect and the like.

Methods and systems for obtaining mass spectrographic data of a substance. Methods include subjecting a substance to a chromatographic process or other separating process, ionizing the output thereof, and subjecting the ionized output to recursive mass spectrometry analyses; and provide improved processing and analysis of data acquired during the repeated analyses. Systems according to one aspect of the invention comprise ion sources, mass spectrometers capable of analyzing ions of selected mass, and controllers adapted to receive from the mass spectrometers and retain signals representing data representing pluralities of mass spectrograms. The controllers can be adapted to generate information useful for describing extracted ion chromatograms, using data associated with the pluralities of mass spectrograms and non-linear curve approximation algorithms; and to use the generated information to generate further information useful in further analysis of the ionized substance.

A method of adaptive full duplex full frequency band echo cancellation comprises the following steps of: carrying out filtration by a sub-band filter, carrying out sub-band echo cancellation by a sub-band echo canceller, carrying out weighted energy analysis and control on system signals, carrying out analysis and detection on double talk active state, carrying out coefficient updating on an echo filter, carrying out nonlinear processing on residual echo, and carrying out synthesis on signals of sub-bands. The method further comprises the step of maintaining reference signal and echo signal to be synchronous; after the nonlinear processing is carried out, noise reduction, automatic gain control and comfort noise technique can be added. Owing to adoption of the method of echo cancellation, signals are spilt into sub-bands through filtration, thus reducing correlation among signals of sub-bands, improving convergence problem of adaptive filter, reducing data process load of the system, improving processing efficiency of echo cancellation, realizing full duplex of conversation, improving frequency response of communication audio frequency, improving quality of communication and realizing echo cancellation of full frequency band response.

A battery electric quantity state calculating method relates to an electric automobile lithium ion battery electric quantity state calculating method, which solves the existing problems that the existing method for calculating the SOC is greatly influenced by the training methods and the training data, has a large amount of data processing, high requirements for the processor performance and a lack of considering the environment temperature and the influence of the cycle number on the battery rated capacity; the results have errors. The method of the invention has the steps that an initialization signal collection system collects the current system parameters and carries out the digital to analog conversion of the collected signals, orderly reads the cycle technical parameters and the resting time parameters, and then selects initial open-circuit voltage; the collected relative parameters are input into a processor to calculate, the results are stored, and a time counter is reset; finally the results are output to display. The calculating method has the advantages of high calculation accuracy and practicality, small data processing amount, low requirements for the processor performance and small errors.

The invention relates to a laser ultrasonic detection method and a laser ultrasonic detection system for rapidly locating defects. The laser ultrasonic detection method comprises the following steps: a laser emits pulse laser light, and a galvanometer scanning system is adopted to act on a workpiece to be detected; an air coupling surface wave probe is arranged at the same side of the workpiece to be detected and is used for receiving a scattered signal generated by the defect of a detected part; a subarea where the defect is located in the detected part is judged according to the received scattered wave, and the defect area can be rapidly located; and the defect of the defect area can be accurately located along with gradual reduction of the defect area according to the ultrasonic propagation imaging principle. According to the method and the system, the defect can be rapidly located, the data processing load is small and the detection efficiency is high.

The invention discloses a road-vehicle fusion perception based early warning method against lane departure, and relates to the field of automatic driving. Firstly, a roadside sensing device collects and preprocesses images of lane lines and a vehicle; then, a driving track is stored; and meanwhile, lane line detection is conducted, the positions of the lane lines in the world coordinate system areobtained through inverse perspective transformation, similarly, the position of the target vehicle is unified to the world coordinate system, and distance information between the center point of thevehicle and the lane lines on the two sides is obtained. And multiple frames of driving track of the target vehicle are fit, and the yaw angle of the vehicle is calculated. And finally, a vehicle sensor acquires the steering wheel angle and steering lamp information of the vehicle, if the deviation driving of the vehicle is not the intention of a driver, speed and acceleration information of the vehicle is acquired and transmitted to a vehicle-mounted terminal, and the vehicle-mounted terminal judges whether the vehicle has the risk of deviating from the lane line according to measurement information. According to the invention, the data processing amount of the vehicle-mounted terminal is reduced, the accuracy and robustness of a detection system are improved, and the driving safety is ensured.

The invention discloses a radar image based moving target morphology detecting and tracking method, which is characterized by firstly dividing gray scales after collecting one frame data, adopting a frame differential method to remove most fixed clutter noises, then adopting a sliding window morphology matching algorithm to isolate the target, accurately positioning the target through target centralization, producing binary images, then combining multiframe binary images with the movement law of the target to carry out track correlation, further removing the fixed target and noise interference and adopting second matching and forecasting to solve the problems of weak signal searching and noise interference, thus realizing lossless tracking. The method features simpleness, less calculated amount, obvious de-noising effect, timely target capturing and high success rate, and can realize real-time detection and lossless tracking of the moving target.

The invention discloses a method and a system of moving target tracking based on a video. The method of moving target tracking comprises the following steps of: detecting a moving target, and fragmenting the moving target in a video image; establishing a color probability distribution map for the moving target; calculating a barycenter of a search window, and adjusting the size of the search window according to window zeroth moment; predicating the position of the search window in the next frame of image through a Kalman filter; and carrying out barycenter matching in an estimation range to track the target. According to the method and the system for moving target tracking based on the video, the problem of moving target tracking at complicated background can be well solved, and the method and the system are good in real-time performance and robustness.

A signal processing circuit includes a memory and a control portion configured to control the memory. The control portion includes a volatile memory circuit including data latch terminals, a first non-volatile memory circuit electrically connected to one of the data latch terminals, a second non-volatile memory circuit electrically connected to the other of the data latch terminals, and a precharge circuit having a function of supplying a potential that is a half of a high power supply potential to the one and the other of the data latch terminals. Each of the first non-volatile memory circuit and the second non-volatile memory circuit includes a transistor having a channel formation region including an oxide semiconductor and a capacitor connected to a node that is brought into a floating state by turning off the transistor.

A system for processing an image of the mouth, includes an image capture device; a mouthpiece attachment, configured to attach to the image capture device and mount the image capture device in a fixed position relative to a user's mouth; a display; and a processing unit; wherein the processing unit is configured to: receive mouth image data from the image capture device; identify an area of analysis within the image data corresponding to the teeth and gums; extract a set of image property features from the area of analysis of the image data; pass the image property features through a condition classifier, the condition classifier configured to compare the values of the extracted image property features against pre-set parameters to identify sub-areas of the area of analysis which are indicative of oral health conditions; and send result data corresponding to the identified sub-areas to the display.

The invention discloses a CNN based partial discharge fault diagnosis method of power equipment, and relates to the field of electric variable measurement. The method comprises the following steps that partial discharge signals of a typical fault defect model are collected, and a PRPD atlas database is established; a grayscale map construction module obtains a partial discharge grayscale map via PRPD; a feature extraction module which is established by using the CNN with a residual error structure extracts identification features from the grayscale map; the identification features are sent toa classifier to carry out identification training; and the grayscale map construction module, the feature extraction module and the classifier serve as a diagnosis module of a detection instrument. According to the method, RPPD data is converted into the grayscale map, the identifying features of the grayscale map are extracted via the strong feature adaptive extraction capability of the CNN withthe residual error structure, the features are applied to the classic classifier, a deep learning method is combined with a traditional machine learning method effectively, the extracted features arehigh in identification degree, and the accuracy of fault diagnosis can be improved.

The embodiment of the invention discloses a webpage click condition displaying method and device. The method comprises the following steps that webpage click data records are received, wherein the webpage click data records correspond to click positions of a terminal on a webpage; according to a region unit block corresponding to the webpage click data records, the webpage click conditions are classified and counted for generating a first counting result; the first counting result is converted into drawing data conforming to reference standards; a webpage click condition graph is generated according to the webpage and the drawing data. The method and the device provided by the embodiment have the advantage that the data volume required in the generating process of the webpage click condition graph can be greatly reduced.

The invention belongs to the field of a photoelectric technology, and specifically discloses a night image characteristic extraction method in an intelligent vehicle-mounted anti-collision pre-warning system. The night image characteristic extraction method comprises the following steps of: selecting an automobile tail light as characteristics to be extracted, and then canceling noises of images, carrying out image edge clearness, selecting threshold value and carrying out threshold segmentation by using a series of image processing methods; and selecting an interested region AOI (Automated Optical Inspection) when the characteristics of the automobile tail light are extracted and paired, and expressing a target automobile by a rectangular frame and deducing a distance measuring formula through modeling and a series of transformations after extracting and paring the characteristics of the automobile tail light. According to the night image characteristic extraction method, the characteristics of the automobile tail light are highlighted, extracted and paired by a series of image processing methods so as to locate the special location of a front automobile in a lane and provide reliable data for the intelligent vehicle-mounted anti-collision pre-warning system which calculates the distance between the front automobile and the automobile.

An autonomous mobile robot is provided which is autonomously movable, including an upper body, legs connected under the upper body, a first detector which detects an object in a front region of the upper body in a moving direction of the robot, and a second detector which detects an object in a region other than a sensing region sensed by the first detector including at least a rear region, a rear right region, and a rear left region of the upper body.

The invention relates to the field of air conditioning equipment and discloses an automobile air-conditioning control method based on online correction. The method comprises the following steps: according to the longitude and latitude of a vehicle, a server obtains any one or several of the weather information, the current road condition information, road type information and elevation information around the vehicle; according to any one or several of the road type information, the positions and number of solar sensors, the advancing direction and the angular separation of direct solar radiation, the server determines or corrects an illumination value; according to one or several of the outside air quality, the number of the sensors, the road condition information and outside temperature, the server determines or corrects an air quality index; the server sends the obtained or processed date to an automobile air-conditioning processor, and the automobile air-conditioning processor controls an air conditioner according to the parameters. By adopting technology, the method can improve the comfort of the vehicle and reduce the cost.

The invention discloses a word identification method, a word identification device and a word identification system on the basis of the multi-word continuous input. The method comprises the following steps of: detecting a continuous input track on a keyboard region and acquiring track feature data of the continuous input track, wherein the continuous input track is related to a position of a sequence of code characters to be input by a user on the keyboard layout; and matching out at least one candidate item matched with the track feature data of different track sections in the continuous input track from a preset word bank. According to the method, the input efficiency can be improved and the complexity of the user operation is reduced.

The invention provides an SDN (self-defending network) anomaly detection and interception method and system. The method is applied to an SDN network and comprises steps as follows: data streams are subjected to random sampling, and a sampling data package is obtained; sample data in the sampling data package are fetched, multiple characteristic fields of the sample data are obtained, and a countable hash table corresponding to each characteristic field is updated; an entropy value of the countable hash table corresponding to each characteristic field is calculated in a time window at the interval of the preset time window; if the entropy value is larger than or equal to the preset anomaly judgment threshold value, an anomaly counter is cleared, and otherwise, count of the anomaly counter is added with one; if the value of the anomaly counter is a preset counting threshold value, anomaly attacking is judged, and otherwise, processing is not performed; abnormal attack is intercepted according to a preset interception mechanism. The method and the system have the advantages of high detection efficiency and low data processing load.

The invention relates to a NC system fine interpolator and a control method thereof based on SOPC; the fine interpolator is based on the FPGA structure, a processor is connected with a fine interpolation module, a tri-state bridge, a dual-port RAM, a DMA module, a timer module and a chip-interior ROM; wherein, the fine interpolation module is used for receiving the control signal of the processor and is controlled by the processor to output a fine interpolation pulse signal according to the thick interpolation command transmitted by the dual-port RAM; the processor is connected with a FLASH and SRAM on the exterior of the FPGA through the tri-state bridge; the dual-port RAM is connected with the microprocessor of an upper computer through a PCI interface module; the timer module outputs base frequency to the fine interpolation module for generating pulse signals; the DMA module copies the fine interpolation control program stored in the FLASH to the internal memory of the processor' and the internal switching bus module provides internal connection bus for each module. The invention adopts the FPGA-based on-chip system design to improve the confidentiality and integration of the fine interpolator, the processing stability and speed of the fine interpolator, and reduce the data throughput of the upper computer.

The invention discloses a physical method based on environment mapping for simulating human skin subsurface scattering. The method comprises steps that, a legendre formula is utilized to project and disintegrate an illumination integration equation in a to-be-simulated scene to acquire a luminance value of each pixel; the luminance value of each pixel is multiplied with an overflow color value to acquire a scattering value of each pixel at a back light face. The physical method based on environment mapping for simulating human skin subsurface scattering solves problems of large data processing workload, large occupation storage space and low processing efficiency existing in the prior art and has advantages of small data processing workload, small occupation storage space and high processing efficiency.

The invention discloses a product outer surface defect image acquisition device based on machine vision. The product outer surface defect image acquisition device comprises a product to be detected, a camera which is arranged corresponding to the product to be detected, and a lens which is arranged around the product to be detected. Compared with an existing system which utilizes five cameras to carry out image acquisition on five surfaces of a cell phone shell, the product outer surface defect image acquisition device only uses one camera and one station to simultaneously finish the defect image acquisition of five surfaces of the cell phone shell, so that the cost is saved greatly; the cell phone shell does not need to be pushed by an air cylinder to turn for a right angle so that continuous detection is convenient to realize; the product outer surface defect image acquisition device is simple in structure, simple and convenient to operate, small in data processing amount and short in detection period.