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334 results about "Differential method" patented technology

Device and method for monitoring body fluid and electrolyte disorders

A device and a method for measuring body fluid-related metrics using spectrophotometry to facilitate therapeutic interventions aimed at restoring body fluid balance. The specific body fluid-related metrics include the absolute volume fraction of water in the extravascular and intravascular tissue compartments, as well as the shifts of water between these two compartments. The absolute volume fraction of water is determined using algorithms where received radiation measured at two or more wavelengths are combined to form either a single ratio, a sum of ratios or ratio of ratios of the form log[R(λ1) / R(λ2)] in which the received radiation in the numerator depends primarily on the absorbance of water and the received radiation in the denominator depends primarily on the absorbance of water and the sum of the absorbances of non-heme proteins, lipids and water in tissue. The difference between the fraction of water in the intravascular fluid volume (“IFV”) and extravascular fluid volume (“EFV”) compartments are also determined using a differential method that takes advantage of the observation that pulsations caused by expansion of blood vessels in the skin as the heart beats produce changes in the received radiation at a particular wavelength that are proportional to the difference between the effective absorption of light in the blood and the surrounding tissue. This difference, integrated over time, provides a measure of the quantity of the fluid that shifts into and out of the capillaries. A mechanism for mechanically inducing a pulse is built into the device to improve the reliability of measurements of IFV−EFV under weak-pulse conditions.
Owner:COVIDIEN LP

Method for calculation and regulation of integral time of star-loading TDICCD camera

The invention relates to a space borne TDICCD camera integral timing and adjusting method, which comprises the following steps: (1) the orbit is simulated with high precision in which positions parameters of photographed spots of the satellite under drift angle control or at different swinging angles are outputted such as vector coordinates and oblique distances of the photographed spots as well as vector simulation data for the satellite position; (2) the vector simulation data for the satellite position are analyzed to come out with the shift speeds of the photographed spots; (3) eliminate the radial-directional speeds from the shift speeds of the photographed spots to become the image motion speeds; (4) utilize the image motion speeds and the oblique distances of the photographed spots to obtain the integral times. The invention also provides a design method for TDICCD related parameters as well as a real-time adjusting method for integral times on the satellite under control of ground commands. The space borne TDICCD camera integral timing and adjusting method realizes an organic combination of simulation modeling with high precision and positional vector differential method, which eliminates errors introduced into the deduction process in traditional geometric analysis and calculation and controls error delivery to improve calculation precision; the arrival real-time adjusting method for integral times on the satellite ensures a reliable integral synchronous control.
Owner:AEROSPACE DONGFANGHONG SATELLITE

Moving object rapid detection method based on video sequence

In order to prevent double-shadow and cavity phenomena from occurring in a target and rapidly obtain a complete outline of a moving target in a video sequence, the invention provides a moving object rapid detection method based on the video sequence. The method comprises the steps of denoising the video image sequence through a gaussian filter and solving an inter-frame differential image of any three frames of filtered adjacent video images through differential operation; carrying out iteration update on an initial background image through utilization of an inter-frame differential binary image and extracting a background image corresponding to a current frame; reestablishing a reference image corresponding to the current frame of image according to an inter-frame differential result of the three frames of adjacent video frames, thereby obtaining an inter-frame differential target detection image, and obtaining a moving target outline difference value image of the current frame through a background differential method; and combining target images extracted by a three-inter-frame differential method and a background differential method through an OR operation, and outputting a final moving target image. According to the method, noise interference can be effectively removed and the complete moving target can be detected rapidly and accurately.
Owner:湖南优象科技有限公司

Method for measuring anthocyanin content in wine grape pericarp based on hyperspectrum

The invention discloses a method for measuring anthocyanin content in wine grape pericarp based on hyperspectrum. The method comprises the following steps: randomly picking off 1500 grapes from four plants in different yields and different levels, using 60 samples in total and taking each 25 grapes as a sample, randomly dividing the samples into a correction set and a check set, wherein the correction set comprises 40 samples and the check set comprises 20 samples; obtaining spectrum data of wine grape pericarp by using near-infrared hyperspectral image; measuring the anthocyanin content by using pH differential method; and establishing a prediction mode of the anthocyanin content in grape pericarp by combining the spectrum pre-treatment method and chemometrics modeling method. By adopting the spectral imaging technology, the imaging technology is combined with the spectrum detection technology, the target space feature is imaged, and the detection speed is fast, the efficiency is high and the cost is low; the method disclosed by the invention is suitable for the noninvasive detection about the quality and safety of the agricultural products, and the anthocyanin content in the wine grape pericarp is effectively detected.
Owner:NORTHWEST A & F UNIV

Method for inhibiting maglev train suspending system track coupled vibrations and control unit

InactiveCN101348082ASuppression of coupled vibrationRealize full state feedback controlElectric propulsionDifferentiatorState variable
The invention provides a method for inhibiting the track coupled vibration of a suspension system of a magnetic suspension train; the method is as follows: bringing the characteristics of a magnetic track into the magnetic suspension train system to lead to a five-level system of the magnetic suspension train system; acquiring five independent state variables which represent the suspension train and track states; comprehensively controlling the magnetic suspension system according to the five state variables and adjusting the control variables of the system; controlling the suspension clearance of the magnetic suspension train in a certain range; inhibiting the coupled vibration of the track of the suspension system of the magnetic suspension train and realizing the stable suspension of the magnetic suspension train. The invention further provides a suspension control unit formed by a suspension magnet, a suspension sensor, a suspension controller, a differentiator and the like, and the suspension control unit is used as an execution element in the control. The method not only inhibits the coupled vibration of the track of the suspension system of the magnetic suspension train, but also effectively solves the problem of noise amplification in the ordinary differential method.
Owner:NAT UNIV OF DEFENSE TECH

Recognition method of critical geometrical error source of machine tool

The invention discloses a recognition method of a critical geometrical error source of a machine tool and belongs to the technical field of machine precision designing. The recognition method of the critical geometrical error source of the machine tool is characterized by comprising the steps that the machine tool is abstracted into a multi-body system according to the structure and motion characteristics of the machine tool, relevance of parts of the machine tool is described by a topological structure and a low-order body array, a generalized coordinate system is built in the multi-body system, coupling relationship of error amounts of parts of the machine tool is described by a homogeneous transformation matrix, a characteristic matrix and a motion equation of the relative movement between two adjacent bodies of the machine tool are elicited, a precision model of a machining center is built, an ordinary mathematical model used for error sensitivity analysis of a four-shaft machine tool is built with a matrix differential method according to the precision model of the precision horizontal machining center, influence degrees on the whole space error of all error elements are compared by calculating the geometrical error sensitivities of all parts, and finally the critical error source influencing the machining precision of the machine tool is recognized.
Owner:BEIJING UNIV OF TECH +1

Method for automatically identifying and snapshotting illegal parking of vehicles in traffic video based on deep learning

The invention discloses a method for automatically identifying and snapshotting illegal parking of vehicles in a traffic video based on deep learning. A vehicle and license plate detection model is built on the basis of a deep learning convolutional neural network technology; the specific type of monitored vehicles (such as buses, taxis and the like) which appear in the traffic monitoring video are detected and identified in real time; the motion states of the monitored vehicles are detected by using an inter-frame differential method to judge whether the monitored vehicles have illegal parking behaviors or not; in combination with a three-dimensional positioning technology and angle rotation and picture zoom of a ballhead camera, clear violated vehicle pictures and license plate number pictures are shot; and automatic identification of license plate numbers is carried out based on a license plate number identification model built by the deep learning convolutional neural network technology, so that automatic snapshotting of violation video clips and structural extraction of violated vehicle information are finally realized, and a complete evidence chain is provided for law enforcement personnel of traffic illegal parking.
Owner:珠海华园信息技术有限公司

Multi-line laser radar and GPS-based three-dimensional road construction method

The invention discloses a multi-line laser radar and GPS-based three-dimensional road construction method. According to the invention, the three-dimensional point cloud data of an all-angle and all-directional surrounding space can be dynamically collected through adjusting a multi-line laser radar and a high-precision GPS. Meanwhile, collected discrete non-associated sparse point cloud data are correlated through the absolute geographic position information acquired by the high-precision GPS, and then the absolute geographic position of each point in the point cloud data is calculated throughthe correlation. Therefore, radar point cloud data collected at different time and in different tracks can be fully and effectively utilized. Finally, the point cloud data which are dense enough areobtained through mutually correlated point cloud data. After that, dynamic objects in the point cloud data are filtered out through the differential method. In this way, the three-dimensional map of areal road can be constructed based on the remained point cloud data of static objects. The constructed three-dimensional map of the road is real, accurate and reliable. Meanwhile, dynamic moving objects can be removed through the differential method. The obtained three-dimensional map of the road is clean and relatively high in reducibility.
Owner:清华大学苏州汽车研究院(吴江) +1

Human body behavior recognition method based on global characteristics and sparse representation classification

The invention relates to a human body behavior recognition method based on global characteristics and sparse representation classification. The method comprises the following steps: performing Gaussian kernel convolutional filtering preprocessing on a video frame, and extracting a moving foreground pixel by using a differential method; sampling a pixel value according to a time space dimension ofa parameter, determining a moving area, adjusting the size of the video frame, performing primary dimension reduction, splicing video frames in rows to form a vector group, and acquiring characteristic vectors; splicing the characteristic vectors in rows to form a characteristic matrix, performing secondary dimension reduction, calculating a primary characteristic dictionary of the characteristicmatrix, initializing the dictionary, after dictionary initialization, performing dictionary learning by using a class accordant K-time matrix singular value decomposition method, calculating an inputsignal sparse code according to the dictionary, inputting the code into a classifier, and outputting a behavior type; and counting dictionary learning parameters, and performing behavior recognition in real time. By adopting the method, dictionaries and linear classifiers with both reconstitution functions and classification functions are acquired, human body behavior recognition efficiency is improved, and the method is applicable to scientific fields such as security monitoring, video search based on contents and virtual reality.
Owner:CHINA UNIV OF MINING & TECH (BEIJING)

Dual-eye three-dimensional visual measurement method and system fused with IMU calibration

ActiveCN110296691ALow priceSolve the defect of low precisionImage enhancementImage analysisVisual field lossLight beam
The invention belongs to the field of photoelectric detection, and particularly relates to a dual-eye three-dimensional visual measurement method and system fused with IMU for calibration. The methodcomprises the steps of fixedly and respectively connecting two IMUs with cameras, calculating a space conversion relation between the cameras and the IMUs, and determining a rotation matrix between the two cameras according to eulerian angles of (z-y-x) sequences of the IMUs and by a yaw angle differential method proposed by the invention; and determining a translation vector according to an epipolar geometrical principle and the rotation matrix, and optimizing internal parameters of the camera, the rotation matrix and the translation vector by a sparse light beam compensation method to obtainan optimized camera parameter. By the method, a large-size accurately-fabricated calibration plate is not needed, the dual-eye three-dimensional visual calibration can be completed only by measuringlengths of two camera base lines, and the defects that a traditional calibration method is only applicable to an indoor small visual field and a self-calibration method is low in accuracy are overcome. The method can be used in a complicated environment such as outdoors and a large visual field and has relatively high accuracy, robustness and flexibility.
Owner:SHANGHAI UNIV +1

Pseudorange differential method based on dual-satellite time difference and frequency difference passive positioning

The invention provides a pseudorange differential method based on dual-satellite time difference and frequency difference passive positioning. According to the method, the pseudorange difference between two satellites and a reference station is measured successively, the pseudorange correction of the satellites is calculated, the pseudorange difference of an unknown radiation source is corrected through the pseudorange correction to obtain an arrival time difference which is close to the true value, the arrival frequency difference between the reference station and the two satellites is measured, the arrival frequency difference between the reference station and the two satellite which is close to the true value is calculated, the arrival frequency difference between the unknown radiation source and the two satellites is corrected through the frequency correction of the satellites to obtain an arrival frequency difference which is close to the true value, and the high-accuracy positioning of the unknown radiation source is realized through an earth ellipsoid equation and the arrival time difference and the arrival frequency difference which are close to the true value. According to the invention, system positioning errors can be corrected, so that the accuracy of a dual-satellite passive positioning system can be improved.
Owner:NAT TIME SERVICE CENT CHINESE ACAD OF SCI

Underwater Positioning Method Based on Differential Technology

The invention aims to provide an underwater positioning method based on a differential technology. The method comprises the following steps of: firstly, after receiving an interrogation signal of an interrogator of a short-baseline acoustic positioning unit through an underwater responser, sending an answer signal; determining a pseudo-range value of the underwater responser; secondly, measuring the distance between the interrogator and the responser in a manner of interrogating and responding; recording position data of high-precision a DGPS (Differential Global Positioning System); taking the obtained position of the responser as an absolute reference position; and finally, calculating the distance between the responser to each array element of the short baseline; comparing the calculated real distance with the pseudo-range value which is measured by using the short baseline in a manner of responding; solving a correction value; using the correction value to correct the pseudo-rangevalue of the responser measured by the short-baseline positioning system; obtaining a position coordinate of the responser; and then, completing underwater positioning. In the method disclosed by theinvention, the algorithm is simple; a correction value is only necessary to be added in a positioning and ranging equation; the method is applicable for most underwater positioning systems; public errors of the systems can be effectively eliminated; and the object positioning precision can be improved.
Owner:HARBIN ENG UNIV

Invasion and perimeter defense method and invasion and perimeter defense device

Embodiments of the invention disclose an invasion and perimeter defense method and an invasion and perimeter defense device which are applied to the field of security. The invasion and perimeter defense method in the embodiment of the invention comprises the following steps: capturing a real-time video stream under different invasion environments; carrying out discontinuous frame processing of the captured real-time video stream; making an image region of interest for the real-time video stream after discontinuous frame processing; detecting moving objects in the image region of interest through a three-frame differential method to get a foreground image; extracting the contour of the foreground image to determine the contour of each moving object in the current frame; and judging whether the moving objects trigger the alarm, and determining the direction of alarm trigger if the moving objects trigger the alarm. The invasion and perimeter defense method provided by the invention can satisfy the real-timeliness requirement. By using the method, whether an object triggers the alarm and in which direction the alarm is triggered can be determined quickly and effectively, the detection rate is improved, the rate of false alarm is reduced, and the problems existing in the prior art are solved effectively.
Owner:北京君正集成电路股份有限公司

Measurement method of capacitor and inductor

InactiveCN103308777AOvercome the shortcomings of relatively complex measurement circuitsResistance/reactance/impedenceCapacitanceRC time constant
The invention relates to the technical field of a testing and measuring instrument. A measurement method of a capacitor and an inductor comprises the following steps: A) constructing a first-order RC (Resistor-Capacitor) circuit or a first-order RL circuit by a resistor with a known resistance value R and the capacitor or the inductor to be tested; B) charging the capacitor or the inductor; C) after charging the capacitor or the inductor, forming a discharging circuit by the first-order RC circuit or the first-order RL circuit; in a process of discharging of the discharging circuit, collecting and recording voltage value data of voltage of the two ends of the capacitor in the RC circuit or the resistor in the RL circuit, which is changed along time t; and recording the voltage value data to a function uC(t) or uR(t); D) taking a logarithm time axis Lg(t) to carry out a differential method to process the function uC(t) or uR(t); and solving a derived function K(t); E) solving a coordinate value Lg(T) of a logarithm time Lg(t) horizontal axis corresponding to a curve peak value of the derived function K(t), wherein an RC time constant Tau=T or an LC time constant Tau=T; and F) solving a capacitance C or L of the capacitor, namely: C= Tau/R or L=TauR. The measurement method disclosed by the invention is used for measuring the capacitor and the inductor.
Owner:MINNAN NORMAL UNIV

Lithium-iron-phosphate-battery fractional-order equivalent circuit model establishing method based on frequency demultiplication representation

The invention provides a lithium-iron-phosphate-battery fractional-order equivalent circuit model establishing method based on frequency demultiplication representation. In view of the irregular performance and the asymmetry performance of a lithium battery material, the circuit characteristics of a lithium battery are represented with a fractional-order differential method defined based on Caputo; due to the memory characteristic of fractional-order differential, an equivalent circuit model obtains the higher freedom degree and the higher stability; when the fractional-order circuit model is solved, the impedance frequency difference between activation polarization and concentration polarization is considered, the medium frequency band and the low frequency band are respectively subjected to discrete approximating through an Oustaloup approximation approaching filter, and therefore the model obtains the higher approximation accuracy and dynamic performance. Finally, the parameters of the frequency-demultiplication fractional-order equivalent circuit model are identified through a pulse charging-discharging experiment, the stability, the dynamic performance and the accuracy of the lithium-battery equivalent circuit model are improved, and practical engineering significance is achieved.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
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