270 results about "Negative correlation" patented technology

A disk drive is disclosed comprising a disk having top and bottom surfaces, and top and bottom heads actuated over the top and bottom surfaces, respectively. Control circuitry detects a warping of the disk by writing a first test pattern to the top surface, reading the first test pattern to generate a first read signal, monitoring a first read signal value proportional to an amplitude of the first read signal, writing a second test pattern to the bottom surface, reading the second test pattern to generate a second read signal, monitoring a second read signal value proportional to an amplitude of the second read signal, and processing the first and second read signal values to detect a negative correlation between the amplitudes of the first and second read signals.

A correlation value image is generated from an input image and a template image, and separated into a positive correlation value image and a negative correlation value image. The template image is separated into a positive template image and a negative template image. A plurality of positive-negative-separated correlation images are generated by combining the positive correlation value image and the negative correlation value image and the positive template image and the negative template image. A polar-coordinates-converted input image and a polar-coordinates-converted template image are employed as the input image and the template image, respectively.

A video encoding method includes subjecting an input video image to motion compensated temporal filtering using a motion compensated temporal filter to produce a low-pass filtered image, quantizing a transform coefficient of the low-pass filtered image, encoding a quantized transform coefficient, calculating a weight to be given to a low-pass filter coefficient of a low-pass filter of the motion compensated temporal filter according to coarseness of quantization and a magnitude of a motion compensated error, and controlling a high band stopping characteristic of the low-pass filter according to the low-pass filter coefficient weighted by the weight, wherein the controlling controls the high band stopping characteristic of the low-pass filter to provide a positive correlation with respect to the quantization parameter and provide a negative correlation with respect to the magnitude of the motion compensated error.

The invention discloses a living human face recognition method and a device, which belongs to the field of human face recognition. The method comprises steps: a human face image is acquired through two configured cameras; through the two cameras, depth information of an organ point in the human face image is acquired, and the depth information and a distance between the corresponding organ point to the end have negative correlation; a human face gesture of the human face image is determined; and according to the depth information of the organ point in the human face image and the human face gesture, whether the human face image is a living human face is judged. Through configuring the two cameras, the depth information of the organ point in the human face image and the human face gesture are acquired via the two cameras, whether the human face image is a living human face is judged according to the acquired depth information and the human face gesture, a user does not need to make a facial behavior in a cooperation mode, demands on the user are reduced, and the problem that living human face recognition fails as the facial behavior of the user is not obvious can be avoided.

The invention provides a crop disease identification method based on incremental learning. When new data arrive, continuous learning is carried out based on an original learning result, and the capability of progressive learning is achieved, which means that new knowledge can be obtained from new samples obtained by batch and the performance is gradually improved under a condition that original knowledge is effectively kept. Firstly, a crop disease sample database is collected, and simulation incremental learning of disease images in the sample database is carried out using a negative correlation integrated neural network as main technical means, so that an initial parameter of a negative correlation learning system is determined, an integrated neural network classifier based on negative correlation learning is initialized based on the initial parameter, and the classifier is trained using a sample in an initial stage; in an incremental learning stage, when an expert adds a new sample in the sample database, the integrated neural network classifier based on negative correlation learning only is updated by only training the newly-added sample data, so that the object of incremental learning is achieved; and finally, a diagnosis result of a disease picture and control measures are fed back to a user, so that the pest and disease can be accurately identified and diagnosed, and the object of comprehensive crop control is achieved.

The invention discloses a colorectal cancer biomarker, relating to application of interferon-induced transmembrane protein 1 in inhibition of endogenous retrovirus in colorectal cancer. The hESCs of IFITM1-KO is constructed by using CRISPR / Cas9 technology so as to study the functions of IFITM1. Studies find that the IFITM1-deleted human embryonic stem cell (hESCs) is identical with IFITM1-WT in the aspects of cell proliferation, cell pluripotency, telomere length, telomerase activity and the like. The expression of human endogenous retrovirus in hESCs of IFITM1-KO increases, and expression in para-carcinoma tissue is higher than that in colorectal carcinoma tissue. ChIP-qPCR detection finds that the enrichment of H3K9me3 in hESCs of IFITM1-KO is reduced at the HERVs site. Data shows that the expression level of IFITM1 in hESCs and colorectal carcinoma is in negative correlation to HERVs expression, and the IFITM1 can inhibit the expression of HERVs by regulating epigenetic inheritance.

The invention puts forward a method for optimizing transaction data storage in a non-volatile memory. By utilizing the characteristic of negative correlation between the data hold time and writing speed of the non-volatile memory, a plurality of sets of writing parameters are prestored in the non-volatile memory, two sets of writing parameters are chosen therefrom, wherein the data hold time of the first set of writing parameters is long and the writing speed of the first set of writing parameters is low, the data hold time of the second set of writing parameters is short and the writing speed of the second set of writing parameters is high, and the method judges whether the type of transaction data to be stored belongs to persistent data or a log; if the transaction data to be stored are the persistent data, then the first set of writing parameters are adopted for storage; if the transaction data to be stored are the log, then the second set of writing parameters are adopted for storage. The method disclosed by the invention can meet the requirement of a system on consistency when failure takes place, also can accelerate operation on logs during transaction execution, and can effectively prolong the service life of the non-volatile memory as well. The invention also provides a system for optimizing transaction data storage in the non-volatile memory.

The invention provides a distribution network single-phase grounding section positioning method based on fault phase voltage and current abrupt change. Fault phase voltage and current of each line section are measured, the phase with lower phase voltage is determined to be the fault phase, and the higher phase voltage is determined to be the sound phase. Under a certain frequency band, the fault phase current abrupt change of the downstream of the fault point of a fault wire and a sound wire is in positive correlation to the derivative of the phase voltage abrupt change, with the correlation coefficient greater than zero. The fault phase current abrupt change of the upstream of the fault point of the fault wire is in negative correlation to the derivative of the phase voltage abrupt change, with the correlation coefficient smaller than zero. The section positioning can be realized by determining the correlation coefficient between the phase current abrupt change and the derivative of the phase voltage abrupt change of each section. The method overcomes the defect that a conventional distribution network single-phase grounding section can be positioned through communication. No communication is needed, and the method is of a bootstrapping method and can solve the problem of positioning single-phase grounding section of a power distribution network.

The invention discloses a flashlight intensity control method and an image pickup device. The flashlight intensity control method includes starting a flashlight pickup mode of the image pickup device; in the flashlight pickup mode, if detecting human faces, acquiring a coordinate area where the human faces are in the image pickup device; if the coordinate area where the human faces are in the image pickup device is larger than a preset area, and setting current intensity of a flashlight according to the coordinate area where the human faces are in the image pickup device, wherein the current intensity of the flashlight is in negative correlation to the coordinate area where the human faces are in the image pickup device; starting the flashlight of the image pickup device according to the set current intensity of the flashlight for filling light. By the flashlight intensity control method, image pickup quality can be effectively improved.

A correlation value image is generated from an input image and a template image, and separated into a positive correlation value image and a negative correlation value image. The template image is separated into a positive template image and a negative template image. A plurality of positive-negative-separated correlation images are generated by combining the positive correlation value image and the negative correlation value image and the positive template image and the negative template image. A polar-coordinates-converted input image and a polar-coordinates-converted template image are employed as the input image and the template image, respectively.

The embodiment of the invention provides a shift register and a driving method thereof, a grid driving circuit and a display device, and relates to the technical field of display. The problem of output abnormity caused by insufficient potential of a control node in the shift register can be prevented. The shift register comprises an input circuit connected with a signal input end; an input circuitcomprising a first input control sub-circuit and a boost sub-circuit. The voltage of the first node is controlled through the voltage of the signal input end. The first input control sub-circuit is configured to output the voltage of a first clock signal end to a pull-up node through a second node under the control of the voltage of a first node, and the voltage of the first node is in negative correlation with the voltage loss of the voltage of the first clock signal end in the process of outputting the voltage to the pull-up node. The boost sub-circuit is connected between the first node and the second node. The boost sub-circuit is configured to boost the voltage of the first node when the voltage of the second node is increased.

The invention discloses H.264 / AVC (advanced video coding) compressed domain robust video watermark embedding and extracting methods free from intra-frame error drift. According to the video watermark embedding method, a residual coefficient matrix, whose number of non-zero residual coefficients is larger than the threshold, in a macro block with the predictive coding mode of Intra_4*4 in a frame I is analyzed, and then a watermark is embedded in a 4*4 sub-block of the macro block with the predictive coding mode of Intra_4*4 in the frame I by modulating the positive and negative correlation between the residual coefficient matrix and corresponding watermark template. The video watermark embedding method has the advantages as follows: the computation complexity is reduced, the video streaming code rate change after watermark embedding keeps stable, the error drift problem is solved, and the robustness of the compressed domain video watermark is further improved.

Embodiments of the invention disclose an image rendering method and apparatus. The method comprises the steps of obtaining a to-be-displayed image; and by utilizing pre-built rendering model and distortion model, rendering and displaying the to-be-displayed image to an eye lens, wherein the rendering model comprises multiple geometric primitives, and the size of each geometric primitive has a negative correlation relationship with a distance between the geometric primitive and a central point of the rendering model. For a central visual field region of the image with the relatively low distortion dispersion degree, the rendering display is performed by utilizing the sparse geometric primitives, so that the quantity of reference pixel points in the central visual field region is reduced, frequent calling of a sampler in a GPU rendering pipeline fragment shader is reduced, the calculation efficiency is greatly improved, the rendering efficiency is improved, calculation resources are saved, and the power consumption is reduced; and for an external visual field region with the relatively high distortion dispersion degree, the rendering display is performed by utilizing the dense geometric primitives, so that the accuracy of anti-distortion rendering is ensured.

The invention discloses a character area detection method and device and a storage medium, and belongs to the field of image processing. The method comprises the steps that based on a preset network model, acquiring a probability graph and a position graph of a to-be-detected target image, wherein the position codes are in a negative correlation relationship with the distance between pixel pointsand the central point of a character area to which the pixel points belong; generating a reference image according to the probability graph and the pixel value of each pixel point in the position graph; combining the mutually communicated target pixel points in the reference image to obtain a communicated region in the reference image, and amplifying the contour of the communicated region to obtain a reference contour; and determining a target contour corresponding to the reference contour in the target image, and determining an area corresponding to the target contour as a character area. Compared with the prior art, the character detection method has the advantages that the character areas to which different characters belong are distinguished, the situation that interconnected characters are divided into the same character area is prevented, the influence of character connection on character area detection is reduced, the character area accuracy is improved, and the detection effectis improved.

The invention discloses an electronic payment method, device and system based on price adjustment and relates to the technical field of the Internet. The electronic payment method, device and system based on price adjustment can solve a series of problems caused by one-way fund flow and manual price adjustment. According to the technical scheme, the method mainly comprises the first step of calculating the current accumulative sales volume of the commodity after a commodity price payment instruction sent by a user client-side is received and corresponding money transfer is completed, the second step of querying a price and sales volume mapping table to acquire the revised price corresponding to the accumulative sales volume, wherein the price and sales volume mapping table is used for representing the negative correlation between the price and the sales volume, the third step of modifying the commodity page of the commodity and modifying the current price in the commodity page into the revised price, the fourth step of calculating the difference between the current price and the revised price and acquiring the compensation price difference, and the fifth step of sending a money return instrument to a payment platform and indicating the payment platform to return the compensation price difference to all user client-sides which pays with the commodity price. The electronic payment method, device and system based on price adjustment is applied to price different return during online shopping.

Provided is a buffer composition capable of suppressing temperature dependency of pH of a buffer solution, and a specimen analysis method and a specimen analysis system using the buffer composition, wherein the buffer composition comprises a buffer substance A showing a positive correlation between temperature and pH and a buffer substance B showing a negative correlation between temperature and pH.

The invention provides a correlation coefficient-based method for weakening the CME (common mode error) influence in a coordinate time sequence. The correlation degree of the GPS (global positioning system) measuring interstation coordinate time sequence is represented by adopting correlation coefficients between a reference station and common measuring stations, and the correlation coefficient is used as the weight for calculating the GPS measuring interstation common-mode error. Meanwhile, the GPS measuring interstation negative correlation is not omitted, a positive correlation and a negative correlation are substituted into the CME calculation system at the same time, positive and negative correlation are equally treated as the weight factor for measuring the GPS measuring interstation CME influence. According to the correlation coefficient-based method, the technical problems that the existing method for weakening the CME influence in the coordinate time sequence is limited in interstation distance, low in space accuracy and the like are solved, and the method can process the measuring interstation CME influence of a GPS network being more than 2000km and can ensure the space response accuracy.

The invention provides an air-conditioner and an outdoor unit accumulated snow judgment method and system. The outdoor unit accumulated snow judgment method is used for the air-conditioner and includes the steps that when an accumulated snow judgment instruction is received, a fan is controlled to operate at a judged rotating speed; the real-time rotating speed of the fan is detected after preset time passes; whether the real-time rotating speed is lower than first preset rotating speed or not is judged; and if the real-time rotating speed is smaller than the first preset rotating speed, a first snow removing signal is sent. By means of the outdoor unit accumulated snow judgment method provided by the invention, the accumulated snow condition is judged through the influence of accumulated snow on the fan of an outdoor unit. When snow is accumulated on the outdoor unit, the operation resistance of the fan is increased, then the rotating speed of the fan is reduced due to negative correlation between the load and the rotating speed, by means of the characteristic, whether snow is accumulated on the outdoor unit or not can be effectively judged, the first snow removing signal is sent in time so as to remind a user to remove snow, the heat exchange efficiency of the outdoor unit is guaranteed, meanwhile, the damage of the accumulated snow to a machine is reduced, the structure is simple, and judgment is effective.

The embodiment of the invention discloses a binocular image depth estimation method, device and apparatus, a program and a medium. The method comprises: inputting a binocular image to be processed into a predetermined neural network to obtain a parallax image and a confidence image thereof, wherein a discrete parameter of each pixel in the parallax image in a preset distribution is in a negative correlation with the confidence of the pixel; obtaining a depth image of the binocular image to be processed according to the parallax image. The embodiment of the invention can obtain the corresponding confidence image at the same time of obtaining the parallax image, and detect the parallax image by using the confidence image, thereby obtaining a more accurate depth image.

The invention provides an Aspergillus galactomannan (GM) antigen immunoassay kit, comprising a solid phase carrier coated with GM antigen, an anti-GM antigen polyclonal antibody and a GM antigen standard product, the kit first GM antigen is coated on a solid phase carrier. During detection, the sample to be tested or GM antigen standard competes with the coated antigen for limited antibody binding sites, and then a color reaction occurs between the enzyme and the substrate, and the color depth of the measurement result It is negatively correlated with the concentration of the antigen to be tested. A standard curve can be drawn according to the GM antigen standard, and the concentration of the antigen to be tested can be calculated according to the standard curve equation. The kit has good sensitivity and specificity, the result coincides with the reference reagent in a high rate, and can provide more accurate and reliable test results. Its operation is simple and easy, and the detection is fast and sensitive. Inexpensive, the detection kit provides an effective tool for the quantitative detection of GM antigen.

The invention discloses a shooting method and device. The shooting method includes the steps of after the shooting device gets into the shooting state, detecting the temperature of the shooting device; adjusting the shooting frame rate according to the temperature, wherein the temperature and the shooting frame rate are in the negative correlation relationship; that is, the shooting frame rate is reduced when the temperature rises. In this way, the power consumption of the shooting device can be reduced, and the runtime of the shooting device can be prolonged; meanwhile, the temperature drops along with reducing of the power consumption, and user experiences are prevented from being influenced by the excessively-high temperature of the shooting device.

The invention provides a silicon oxycarbide film and an RRAM (resistive random access memory). The molecular formula of a silicon oxycarbide film resistive material is SiCxOy, wherein x is from 1.21 to 0.21, y is from 1.45 to 2.01, and x and y are in negative correlation. The thickness of the film is 50nm or less. The RRAM comprises a top electrode, a resistive dielectric layer, a substrate and a back electrode, and is characterized in that the resistive dielectric layer is the silicon oxycarbide film. The top electrode is made of Ag and Al. The RRAM is prepared by a material compatible with the COMS technology, and physical deposition film equipment is mainly used in a preparation process. No high-temperature technology is employed, and the consumption of energy is reduced. Silicon oxycarbide films with different defect concentrations can be obtained through the control of gas proportion. For an SiC0.202.01 material, the switch ratio reaches 500, and can completely meet the actual demands (the switch ratio is greater than 10). Meanwhile, the RRAM based on the silicon oxycarbide material has a self-rectification effect, thereby simplifying the design of an external circuit.

The invention provides a delay circuit. The delay circuit comprises a current source circuit, a voltage adjusting circuit and a main delay circuit, and the main delay circuit comprises k sub-delay circuits mutually connected in series, wherein k is a natural number; each sub-delay circuit comprises a first-level CMOS inverter and a second-level CMOS inverter mutually connected in series; and a substrate and a source electrode of a PMOS transistor of the first-level CMOS inverter and a substrate and a source electrode of a PMOS transistor of the second-level CMOS inverter are mutually connectedto a first circuit connection point, and the voltage and the temperature of the first circuit connection point are in linear negative correlation. According to the delay circuit, the delay time has asmall temperature drift, a power supply voltage is replaced by the voltage adjusting circuit to supply power to the delay circuit, a current source provides a current in positive correlation with thetemperature, the voltage adjusting circuit enables a bias voltage to be in a relatively stable level, and the influence of fluctuation of a power supply on the delay time is small.

The invention discloses a live broadcasting room search method and device applied to the field of Internet. The method comprises the steps that a search request, used for asking for watching a live broadcast, from a live broadcast client is received, and positive correlation live broadcasting room parameters and negative correlation live broadcasting room parameters of M live broadcasting rooms are acquired; webpage ranks of the M live broadcasting rooms are determined according to the positive correlation live broadcasting room parameters and the negative correlation live broadcasting room parameters of the M live broadcasting rooms; and a search order of N live broadcasting rooms among the M live broadcasting rooms is fed back to the live broadcast client according to the webpage ranks of the M live broadcasting rooms so that the live broadcast client can display the N live broadcasting rooms in sequence according to the search order. Through the live broadcasting room search method and device, the search order displayed to a user is more accurate, and therefore live broadcasting resources found by the user are more accurate.

The invention relates to a big data risk analysis method. According to the method, daily behavior habits of an insured person are analyzed by utilizing a machine learning algorithm model in combination with big data, and a possibility that the insured person suffers from a disease or has an accident is predicted, so that a corresponding insurance premium standard is made. Further the feasibility of a new model is studied; first a relational expression of compensation rate and prediction accuracy of the new model is established, a negative correlation of the prediction accuracy and the compensation rate is discovered, and when the prediction accuracy is greater than 50%, the compensation rate of the new model is lower than that of an original model; the model is visually analyzed by using MATLAB; and then the new model is subjected to profitability analysis, a three-dimensional relationship among a discount of a low-risk customer, the prediction accuracy and profits is established, and the profit space increased under the new model is obtained more visually.

A model training method, apparatus, and computer device are disclosed. The method includes: determining a common feature space of the source domain sample set and the target domain sample set; determining a positive correlation feature term and a negative correlation feature term in the common feature space according to the tag value of the determined tag sample in the source domain sample set andthe eigenvalue of the determined tag sample in the common feature space; predicting a label value of an uncertain label sample in the target domain sample set according to the positive correlation feature item and the negative correlation feature item; uncertain label samples with predicted label values are integrated with the source domain sample set, and a classification model is obtained by training the integrated sample set.

The invention relates to a method for taking the breast cancer molecular marker S100A8 / A9 in diagnosis and prognosis evaluation of the breast cancer. According to the method, results show that the expression indexes of the molecular marker S100A8 / A9 in breast cancer patients with different molecular pathological subtypes are different, that is, thesubtypemolecular marker S100A8 / A9 is highly expressed in a substrate cellular type (basal-like) breast cancer patient and a Her-2 amplified) overexpression type breast cancer patient, but is relatively low in expression index in a lumen epithelia A type (Luminal A) breast cancer patient and a lumen epithelia B type (Luminal B) subtype breast cancer patient, that is, the statistic difference is obvious. For published NKI breast cancer chip data, patients are divided into a high group and a low group based on S100A8 / A9 for Kaplan-Meier survivorship curve analysis, results show that the negative correlation between the S100A9 expression level and the total survival rate is obvious, the prognosis of a breast cancer patient with high S100A9 expression is poor, and the prognosis application value of prompting breast cancer is high.

The invention relates to a performance analysis method and device for an electronic anti-shake (EIS) algorithm and belongs to the field of electronic technology application. According to the method, rolling shutter distortion of each image in multiple images included in video sample data can be calculated, and the performance of the EIS algorithm can be determined according to the calculated rolling shutter distortion of all the images, wherein the performance of the EIS algorithm is in negative correlation with the size of the rolling shutter distortion, and the size of the rolling shutter distortion is in positive correlation with fluctuation degrees of motion vectors of all feature points in each image. Since the fluctuation degrees of the motion vectors of all the feature points in each image can accurately reflect whether rolling shutter distortion exists in the video sample data, the performance of the EIS algorithm can be accurately reflected through the rolling shutter distortion. Moreover, through the analysis method, a developer does not need to observe a video with eyes, and analysis efficiency and precision are effectively improved.

The invention discloses an image processing method and device, terminal equipment and a storage medium, and belongs to the technical field of display. The image processing method comprises the following steps: determining the movement speed of virtual reality equipment; determining the resolution of a to-be-rendered image according to the movement speed, wherein the resolution is in negative correlation with the movement speed; performing image rendering by adopting the resolution; and outputting the image obtained by rendering to the virtual reality equipment. By using different resolutions for image rendering under different conditions, a user can watch a smooth and clear picture under the condition that the performance of the display card is not changed, the requirement for the performance of the display card is lowered, and the popularization threshold of VR is lowered.