52results about How to "Resolve indistinguishable" patented technology

The invention discloses a character display method and a device. The character display method includes the following steps: a background color contrast degree of an area used for displaying characters in an electronic terminal is obtained; a character color contrast degree which is matched with the background color contrast degree is calculated; the character color contrast degree is used to display the characters. The character display method and the device solve the problem that the characters displayed under bright and colorful background colors are difficult to distinguish or are not striking, then the contrast of a displayed character style and the background colors is enabled to be distinct, and the user experience degree is improved.

The invention provides a method for distinguishing Chinese honeybee honey from apis mellifera honey based on major royal jelly protein ingredients. By means of a biological method and the difference between Chinese honeybee honey and apis mellifera honey in protein, different protein bands appear by conducting protein electrophoresis on a honey sample after the honey sample processed, protein categories are determined by conducting mass spectrometry on the different protein bands, and then the two kinds of honey from different bee species are identified. The problems that Chinese honeybee honey and apis mellifera honey available in market are hard to distinguish, and apis mellifera honey pretends to be Chinese honeybee honey or is mixed in Chinese honeybee honey are solved, and the situation that low-price apis mellifera honey pretends to be high-price Chinese honeybee honey can be inhibited. The method is used for distinguishing Chinese honeybee honey from apis mellifera honey.

The invention discloses a computer aided gastric cancer diagnosis method based on target tracking and mainly solves the problem of lymph gland transfer judging in a gastric cancer diagnosis process in the field of medical imaging. The steps include 1 segmenting images; 2 extracting tracked targets; 3 forecasting tracking; 4 judging whether all target forecasting tracking is finished, if all target forecasting tracking is finished, a next step is performed, otherwise, the step 3 is returned; 5 matching features; and 6 identifying lymph gland. A method of computer aided medical diagnosis is applied to detection of gastric cancer lymph gland transfer, a large amount of stomach section images can be processed in a short period of time, detecting speed and accuracy rate are improved compared with traditional detection of gastric cancer lymph gland transfer, automatic identification of lymph gland of stomach section images is achieved, clinical diagnosis time is greatly shortened, and a better treatment opportunity is obtained for patients.

The invention relates to a measurement method for the effective grain size of structural steel with a complex microstructure. The method comprises the following steps: acquiring a crystal diffraction pattern by using EBSD; measuring misorientation of crystal boundaries through the diffraction pattern and drafting a misorientation distribution curve chart; calculating threshold values of an effective grain size based on the misorientation distribution curve chart; and measuring transversal or longitudinal space between misorientation of the threshold values of the effective grain size and subjecting space data to statistical treatment so as to obtain average space between misorientation of average threshold values, wherein the average space is the effective grain size of a measured material. According to the invention, misorientation between crystal grains is used as a standard for measurement of the effective grain size, a prediction method for the threshold values of the effective grain size is brought forward, and it is convenient to formulate the threshold values of the effective grain size according to specific conditions of the material.

The invention discloses a roadside vehicle parking behavior detection method based on a high-order camera, and belongs to the field of roadside vehicle parking recognition. The method solves the problems of imprecise vehicle detection and high error correction cost of a parking space-dominated parking condition judgment method at present, and comprises the following steps: firstly, defining a parking space frame in a fixed camera picture, wherein the parking space frame represents a parking area; detecting and judging whether a moving object exists or not for each frame of image in the subsequent images; judging whether a moving frame and the parking space frame are overlapped or not, judging whether the moving object is a vehicle or not if the moving frame and the parking space frame areoverlapped, and acquiring a real outline of the moving object if the moving object is the vehicle, recording a moving track of the moving object by utilizing a tracker, and judging a vehicle behaviorby utilizing the overlap ratio of the real outline and the parking space frame and the moving track; otherwise, ignoring the frame of image; according to the method, the roadside vehicle parking condition can be judged more precisely, and the error correction cost is low.

The invention discloses an X-ray light field imaging and calibrating method based on a pinhole array. The X-ray light field imaging and calibrating method based on the pinhole array comprises the steps that (1) An X-ray light field imaging model based on the pinhole array is established and comprises an X-ray light source array, the pinhole array and an X-ray image sensor; (2) a linear exposure mapping image is established so that exposure of images of an X-ray light field can be normalized; (3) the pinhole center of each X-ray light field image is calibrated so that the central position of each pinhole image is extracted; (4) according to the center, obtained in the step (3), of each pinhole image, each X-ray light source image is extracted; (5) according to each X-ray light source image extracted in the step (4), the pixels at the same position in the pinhole images are extracted and reorganized into a frame of X-ray light source image; (6) the extracted X-ray light source images are converted into X-ray light source images which are orthogonally arranged. According to the X-ray light field imaging and calibrating method based on the pinhole array, the light field imaging principle of visible light is applied to X-ray imaging, and the requirement for the imaging quality of the X-ray images during clinical diagnosis and treatment is met.

The invention provides a geographical location information estimation method. The geographical location information estimation method comprises the following steps of step s01, determining a reference starting point: moment t0, geographical location information (x0,y0,z0), speed (vx0,vy0,vz0) and accelerated speed (ax0,ay0,az0); step s02, obtaining accelerated speed (axj,ayj, azj) at the moment tj=t0+j*dt; step s03, calculating the speed (vxj,vyj,vzj) at the moment tj=t0+j*dt; step s04, estimating the displacement (sxj,syj,szj) in the time period from the t[j-1] to tj; and step s05, estimating the geographical location information at the moment the tj: xj=x[j-1]+sxj, yj=y[j-1]+syj, and zj=z[j-1]+szj. The geographical location information estimation method provided by the invention is capable of estimating geographical location information under the condition that GPS, BeiDou and mobile communication signals are lost.

The invention provides a moving target one-dimensional detecting and tracking method for ultra-wideband through-wall radar. According to the method, a moving target behind an obstacle is subjected to real-time accurate one-dimensional detecting and tracking through echo data of a pair of sensors of the ultra-wideband through-wall radar; the problem that echo instability causes difficulty in recognizing and positioning the targets during one-dimensional through-wall detecting is partly solved; meanwhile, the multiple moving targets behind the obstacle can be detected at the same time, and thus, the contradiction between the sensor quantity limit (hardware system size limit) and multi-target detecting capacity of the ultra-wideband through-wall radar can be effectively solved.

The invention provides an ultrasonic detection method for bonding quality. The ultrasonic detection method comprises: 1, before the front edge of a composite material blade is not bonded to a metal overlap, detecting the front edge position by using an ultrasonic water spraying penetration C scanning method, and eliminating the composite material blade with the defect at the front edge position; 2, after the composite material blade with the defect-free front edge is bonded to a metal overlap, detecting the blade overlapping position by using the ultrasonic water spraying penetration C scanning method, determining the horizontal position of the debonding defect, and marking; and 3, respectively detecting the front surface and the back surface of the marking position by using a high-resolution retarding block probe, and through the height of the reflected ultrasonic wave pulse formed by the composite material / metal / air interface wave of the surface, determining the surface at which thedebonding defect is generated. With the method of the present invention, the debonding defect with the diameter of not more than 5 mm can be rapidly and accurately detected, the surface at which the debonding is generated can be accurately determined, and the design and rework requirements of the product can be met.

The invention discloses a driving behavior recognition system, method and device and a storage medium and mainly comprises a driving behavior identification system which comprises an acquisition module, a preposition rule determination module, a time determination module, a data processing module, a communication module and an identification module. The acquisition module is used for acquiring first motion data; wherein the preposition rule determining module is used for determining a preposition rule, and the preposition rule comprises a fluctuation variance threshold value; the time determination module is used for determining a time period based on the first motion data; the data processing module is used for acquiring the second motion data; the communication module is used for transmitting the second motion data and the time period; and the identification module is used for identifying dangerous driving behaviors based on the second motion data. The dangerous driving behavior canbe automatically recognized, and help is provided for the system to provide services such as safety warning and driving assistance.

The invention is suitable for the technical field of image processing, and provides an image classification method, an image classification device and terminal equipment, and the method comprises thesteps: obtaining a to-be-detected image; obtaining global features of the to-be-detected image, wherein the global features refer to feature vectors extracted from the whole to-be-detected image; acquiring local features of the to-be-detected image through a random frame, wherein the local features refer to feature vectors extracted from a local area of the whole to-be-detected image; and inputting the global features and the local features into a classifier, wherein the classifier outputs the category of the to-be-detected image. According to the invention, the accuracy of image classification can be improved.

The invention discloses an identification method and device based on different function communication streams of Skype. The method comprises following steps of obtaining transmission messages in a current session; preliminarily detecting the transmission messages; if the transmission messages are accurately identified, labeling a corresponding function application label on the current session, or determining the detection level to which the transmission messages belong; detecting the transmission messages according to the detection rule corresponding to the detection level to which the transmission messages belong; and when a detection condition is satisfied, labeling a function application label corresponding to the detection level to which the transmission messages belong on the current session; that is to say, in the method and the device provided by the invention, through increasing identification, the problem of incapability of distinguishing coupled traffics can be solved; the single function of the Skype can be identified; and the refined access control to the Skype traffics can be finished.

The invention discloses a same-name entity identification method. The method comprises the steps of extracting resume information of characters according to different data sources from an internet text; according to a preset correction character table, correcting the extracted character resume information to obtain corrected character resume information; according to character context informationin the internet text and a subordination mechanism in the corrected character resume information, speculating a social relationship between persons; and according to the speculated social relationshipbetween the persons, confirming whether same-name entities extracted from the different data sources refer to a same entity or not. The same-name entity identification accuracy can be improved.

The invention discloses a multispectral remote sensing image crop straw off-field extraction method and system based on machine learning, and solves the problems that personal errors and measurement errors exist in the off-field area and progress of an existing straw off-field supervision mode, and accurate management and control cannot be realized on non-off-field area positioning. Comprising the following steps: S1, acquiring multispectral image data of a crop growth period, sketching and establishing a polygon sample set according to crop spectral information, establishing a crop classification model, and predicting the established crop classification model to obtain a crop distribution result; s2, acquiring multispectral image data after a crop harvest period, sketching polygonal samples of corresponding categories, and performing sampling treatment to obtain a polygonal sample set of an out-of-field plot; and S3, dividing the polygonal sample set of the out-of-field plot by utilizing five-fold division, training the obtained five groups of training sets-verification sets to obtain five base models, predicting the image data by using the base models, and determining the out-of-field plot through probability mean value fusion of prediction results.

The invention discloses a cleaning pool structure with an oil-water separation function. A rectangular bracket is arranged to support the cleaning pool; a drawer type funnel is mounted at the bottom end of the cleaning pool to filter solid garbage; an oil stain separation tank is fixedly arranged at the bottom end of the rectangular bracket; an oil outlet is formed in one side of the top end of the oil stain separation tank and communicates with an oil storage bottle; a blower is mounted on the other side of the top of the oil-stain separation tank; an air outlet of the blower is sleeved witha duckbilled air outlet; the duckbilled air outlet is attached to the top surface of the oil stain separation tank and blows air over against the oil outlet; a drainage valve is arranged at the bottomend of the oil stain separation tank; a liquid substance flows into the oil stain separation tank until a water surface reaches the oil outlet; the air outlet of the blower flattens airflow through the duckbilled air outlet so that grease on the surface of mixed liquid can be evenly blown, the grease flows into the oil storage bottle to be stored along the oil outlet under the action of blowing force, oil-water separation and oil storage are achieved, and good practical value is achieved.

The invention relates to the technical field of micro-nano optics, and particularly relates to a micro-nano structure capable of distinguishing left-handed polarized light and right-handed polarized light. By using a combination of a base layer, a chiral unit, and a graphene layer, the chiral unit is embedded in the base layer, so that the chiral unit is in contact with the graphene layer and thebase layer. By using the strong light absorption capability of the graphene layer, incident light is maximally absorbed to the chiral unit, the reflection of incident light is reduced, and the servicelife of the chiral unit is prevent from the decrease because of the perpendicular incidence of the incident light. Different forms of electric dipoles and magnetic dipoles is formed on the chiral unit after the chiral unit absorbed incident light through the graphene layer, thus, the left-handed polarized light and right-handed polarized light in the incident light are differently absorbed, so that the distinguishing of the left-handed polarized light and the right-handed polarized light is achieved. By analyzing the absorption spectrogram of the micro-nano structure of the embodiment of theapplication, the kinds of the left-handed polarized light and the right-handed polarized light in the incident light can be distinguished.

The invention provides a processing method and apparatus for a media access control (MAC) address. The method comprises: a request message sent by user equipment (UE) is received, wherein the request message carries combined information including access information of the UE and an MAC address; according to a preset rule, a designated MAC address having a mapping relationship with the combined information is obtained; and the combined information in the request message is replaced by the designated MAC address and the request message with the designated MAC address is sent to a server. According to the invention, a problem that a dynamic host configuration protocol (DHCP) de3vice can not be distinguished because of repetition of MAC addresses according to a related technology can be solved.

The invention discloses a method for identifying fermented type and formulated type yogurt beverages. Yogurt beverage is precipitated by sulfosalicylic acid, the content of free amino acids in liquid supernatant is measured by an amino acid analyzer, and the content ratios of four characteristic amino acids-alanine, valine, lysine and proline of total free amino acids are judged to establish the amino acid analysis method for identifying fermented type and formulated type yogurt beverages. According to the method, the similarity of the fermented type and formulated type yogurt beverages in the aspects of mouthfeel and physical behavior is avoided, the difference of the contents of the free amino acids of the fermented type and formulated type yogurt beverages is fully utilized, and a problem that the fermented type and formulated type yogurt beverages cannot be rapidly identified is solved; and the identification method can be operated simply and conveniently and has high accuracy and good application prospect.

The invention is suitable for the technical field of image processing, and provides an image classification method, an image classification device and terminal equipment, and the method comprises thesteps: obtaining a to-be-detected image; respectively acquiring global features and color histogram features of the image to be detected; reducing the dimension of the color histogram feature to one dimension to obtain a one-dimensional color histogram feature; carrying out feature splicing on the one-dimensional color histogram features and the one-dimensional global features to obtain one-dimensional splicing features of the to-be-detected image; and inputting the one-dimensional splicing features of the to-be-detected image into a classifier, and outputting the category of the to-be-detected image by the classifier. According to the method, the accuracy of image classification can be improved.

The invention discloses an automatic segmentation and three-dimensional reconstruction method for a pelvic bone tumor based on a multi-modal image, and the method achieves the automatic segmentation of an ilium, a sacrum and a femur in a pelvic CT image of a patient through a U-Net network model, and has the advantages that the segmentation error of bone tissues is greatly reduced; secondly, registering the MR image and the CT image by adopting a mutual information method, so that the information of the MR image and the CT image can be comprehensively utilized, and the segmentation task is simplified; and then clustering is carried out on the MR images by adopting an improved K-Means method to obtain candidate regions of tumors, and the method has the advantages that tumor regions can be accurately segmented for MR images with different gray features, so that the method has certain robustness; the method comprises the following steps: screening tumor candidate region images by using a bone region and continuity detection, and effectively solving the problem that a tumor region and a non-tumor region with similar characteristics cannot be distinguished by using medical priori knowledge in the step; in addition, according to the method, the tumor sequence is filled, so that the tumor is smoother during three-dimensional reconstruction and is closer to the real tumor form.

The invention discloses an LAMP (loop-mediated isothermal amplification) multi-dimensional visual detection color indicator. The LAMP multi-dimensional visual detection color indicator is characterized by comprising phenol red, chrome black T and Eva Green. The invention also discloses an LAMP multi-dimensional visual RNA / DNA (Ribonucleic Acid / Deoxyribose Nucleic Acid) detection premix solution. According to the invention, phenol red is used as a pH indicator, chrome black T is used as a metal ion indicator, Eva Green is used as a fluorescent indicator, and phenol red, chrome black T and Eva Green cooperate with each other in a certain concentration range. According to the method, the low copy number can be detected, the false positive rate is reduced, and the problem that weak positives caused by primer design or too low template concentration are difficult to distinguish during photographing retention or visual distinguishing can be perfectly solved. The color indicator disclosed by the invention has the characteristics of high resolution, high sensitivity, low false positive rate and multi-dimensional verification, and has the effect of judging whether a sample is positive or negative only through naked eyes or 365nm excitation.

The invention discloses a method and system for intelligent zoom video monitoring. The method includes the following steps that firstly, a monitoring site is divided into multiple preset regions according to the distance between the monitoring site and a camera and a reasonable shooting focal length is set for each preset region; secondly, a video frame is read in and target detection is conducted on the video frame; thirdly, distribution of each preset region on the video frame is determined, so that the preset region where the target is located is determined; fourthly, the focal length of the camera is adjusted to be the shooting focal length corresponding to the preset region where the target is located and the preset region where the target is located is shot in an amplified mode. The system comprises a cradle head, the camera, a video capture card and a monitoring host and the method for intelligent zoom video monitoring is adopted for zoom video monitoring. According to the method and system, the defects that the monitoring range is small, flexibility is lacking and a target at a long distance is difficult to distinguish in the traditional monitoring technology can be effectively overcome.

The invention provides a calculation method of a prediction frame loss function-gravitation loss function (AIoU Loss) for fallen leaf detection, aiming at the problems that an intelligent cleaning device is difficult to detect flakes of fallen leaves and low in efficiency. Distance parameters between prediction frames are introduced, and the minimum external rectangular frame is used for replacing the original prediction frame meeting the condition, so that the effect of predicting the fallen leaves in the flakes is achieved. According to the intelligent fallen leaf sweeping device, the problem of distinguishing single fallen leaves from single fallen leaves during fallen leaf detection is solved, the intelligent fallen leaf sweeping device can more accurately position fallen leaf sites, and the sweeping efficiency is improved.

The invention discloses a method for recognizing human body joint micro-motion by using a depth camera to assist a radar, and the method comprises the steps: receiving the data collected by the radar and the depth camera for the motion states of a plurality of human body targets at the same time, and obtaining the radar data and the depth camera data of the micro-motion of the human body targets; processing according to a radar system to obtain radar data of a one-dimensional time sequence; performing time-frequency analysis on the processed radar data to obtain micro-Doppler features corresponding to the human body target; performing low-pass filtering processing on the depth camera data, and converting the filtered distance information of each joint of a certain human body target along with the time into the speed information of each joint along with the time; and matching the micro-Doppler feature of a certain human body target with the speed information of each joint changing along with time. According to the method, the problem that micro-Doppler frequency components corresponding to different joints of a human body target in radar micro-Doppler features are difficult to distinguish is solved.

The invention discloses a driving behavior recognition system, method and device and a storage medium and mainly comprises a driving behavior identification system which comprises an acquisition module, a preposition rule determination module, a time determination module, a data processing module, a communication module and an identification module. The acquisition module is used for acquiring first motion data; wherein the preposition rule determining module is used for determining a preposition rule, and the preposition rule comprises a fluctuation variance threshold value; the time determination module is used for determining a time period based on the first motion data; the data processing module is used for acquiring the second motion data; the communication module is used for transmitting the second motion data and the time period; and the identification module is used for identifying dangerous driving behaviors based on the second motion data. The dangerous driving behavior canbe automatically recognized, and help is provided for the system to provide services such as safety warning and driving assistance.

The present invention provides a method and device for processing a MAC address of media access control, wherein the method includes: receiving a request message sent by a user equipment UE, wherein the request message carries the access information and MAC address of the UE Combining information; obtaining a specified MAC address that has a mapping relationship with the combination information according to preset rules; replacing the combination information in the request message with the specified MAC address, and sending the request message carrying the specified MAC address to the server. The present invention solves the problem in the related art that DHCP devices cannot be distinguished due to the repetition of MAC addresses.