30results about How to "High degree of recognition" patented technology

A handwriting guide including an active and/or inactive writing guide is rendered by displaying a shaded outline object having a line for receiving electronic ink, displaying the active writing guide thereby indicating a location of a current active context, and expanding the active and/or inactive writing guide up to a maximum width of the outline object in response to receiving more electronic ink within a line. The active writing guide can comprise a bracket displayed on each corner of a writing area distinguished on a line and can correspond to an insertion point upon switching to text mode. A drawing guide that includes an active and/or inactive drawing guide is rendered by displaying a shaded drawing guide and the active drawing guide in response to detecting ink strokes within the drawing guide. The active drawing guide can comprise a bounding rectangle encompassing a drawing area that receives ink strokes.

Displaying a writing guide for a free-form document editor by detecting electronic ink, classifying the detected ink as corresponding to handwriting or a drawing, and displaying a handwriting guide or a drawing guide in response to classifying the detected ink as handwriting or a drawing, respectively. The writing guides can provide feedback regarding the classification of the detected ink and can be resized as additional ink is detected. The handwriting guide can comprise a writing area, writing guide portion, bullet guide, indent marker, character notches, gesture guide, or sacrificial guide to create meaningful structure within an outline object of an electronic document.

The embodiment of the invention provides an adaptive real-time video data anti-cheating method and apparatus. The method comprises: an IP address of real-time video data and a plurality of corresponding playing users are obtained; the IP address is obtained, and a first risk probability and a second risk probability are generated adaptively according to a video playing frequency value at the IP address within a first preset time period and a video playing frequency value of each of a plurality of playing users within the first preset time period; whether the first risk probability exceeds a first preset threshold value is determined to determine whether the IP address is a cheating IP address and whether the second risk probability exceeds a second preset threshold value is determined to determine whether the user is a cheating user; and then the cheating IP address and the cheating user are added into a black list base and the real-time video data of the cheating IP or cheating user are filtered. Therefore, the degree of identifying whether the real-time data are cheating data can be improved; the large-IP multi-user wrong determination possibility can be reduced; and re cheating of a high-risk playing user can be prevented.

The invention relates to a method and a device for video surveillance, wherein by means of at least one video camera, an image of an image excerpt of an environment to be monitored in the vicinity of the video camera is recorded, wherein at least one pixel of a short-term background model assigned to the image excerpt is compared at a first point in time with a corresponding pixel of a long-term background model assigned to the image excerpt at the first point in time and with a corresponding pixel of the long-term background model at a second point in time, wherein the second point in time precedes the first point in time.

The invention provides an air traffic controller fatigue detection method based on clustering analysis, a device and a system. The method comprises steps that, 1, control seat video monitoring data and air-ground conversation data acquired by an audio and video full data acquiring device in real time are received; 2, the control seat video monitoring data and the air-ground conversation data are detected and analyzed to acquire controller fatigue index detection data; 3, referring to preset controller fatigue index detection data samples, controller work state archives are established by utilizing a clustering analysis method; and 4, classification integration detection is carried out by utilizing the controller fatigue index detection data acquired in the step 2, if similarity exceeds a threshold scope, alarming is triggered. The fatigue detection method can be applied to the air traffic control field and has relatively great practicality and maneuverability.

The invention belongs to the field of social network analysis, and particularly relates to a heterogeneous social network user entity anchor link identification method, which comprises the following steps of: giving two heterogeneous social networks G1 and G2, and respectively using and representing a user set; calculating user similarity based on user attributes in the two heterogeneous social networks; calculating the user similarity based on the user relationship in the two heterogeneous social networks; performing similarity sorting on the user u and the corresponding intimate friends {fi}, and selecting top K ufi; According to the method, the similarity of the previous common friend relationship is optimized and improved, the intimate friends taking the user attributes as the benchmarks are extracted, the recognition degree of the user anchor link is enhanced through the similarity degree of the intimate friend relationship, and the recognition effect of the user anchor link is greatly improved.

The invention relates to an insulator external discharge mode identification method based on an ultraviolet map. The method is characterized in that the method comprises the following steps: a) to begin with, carrying out non-contact detection on insulator external discharge by utilizing an ultraviolet imager and forming an ultraviolet discharge image; b) carrying out gray scale processing on the obtained ultraviolet discharge image and converting a color picture into a binary gray image; c) then, carrying out mathematical morphology filtering on the binary gray image to obtain a clear ultraviolet light spot binary gray map; d) carrying out constant-torch characteristic parameter extraction on the ultraviolet light spot binary gray map obtained after filtering, and seven constant-torch characteristic parameters are extracted; and e) inputting the seven constant-torch characteristic parameters into a neural network to carry out discharge type mode identification, and outputting the identification results. Experiment shows that the ultraviolet detection map is utilized to carry out mode recognition of insulator external discharge, and the method has the advantages of high identification degree and simple method.

The invention provides a bamboo material grading method and system. The method comprises the following steps of (1) dividing a cross section region of a to-be-graded bamboo material into N ring regions along the radius; (2) based on an occupied area ratio of total vascular bundles and an occupied area ratio of thin wall cells in each ring region, the mechanical performance of a single vascular bundle in the to-be-graded bamboo material and the mechanical performance of a single thin wall cell in the to-be-graded bamboo material, obtaining the mechanical performance of bamboo material micro-units of each ring region through a composite fiber material micromechanics theory; (3) based on the mechanical performance of the bamboo material micro-units of each ring region, obtaining the overall mechanical performance of the bamboo material; and (4) according to the overall mechanical performance of the bamboo material, grading the bamboo material. The bamboo material grading method provided by the invention is high in precision and small in error, can control the variability of a same-grade material and the fluctuation of quality after grading, and provides reliable material units for a bamboo composite material.

The embodiment of the invention discloses an inundation sub-domain identification method and system, and relates to the technical field of computers. The inundation sub-domain identification method and system are applied to search engines. Inundation sub-domains are identified according to the dispersion or the concentration ratio of the fragment length of any valid fragment set of sub-domain names, and the identification degree of the inundation sub-domains can be effectively improved. The inundation sub-domain identification method in the embodiment includes the steps of collecting sub-domain names with the same main domain name, and if it is judged that the fragment length of any valid fragment set of the sub-domain names with the same main domain name is in dispersed distribution or concentrated distribution, identifying that the sub-domain names corresponding to any valid fragment set are the inundation sub-domains, wherein the valid fragment set is the same fragment set of a left-side domain name part and a right-side domain name part of the same-stage fragment in a same-stage fragment of the sub-domain names with the same main domain name.

The invention provides a blind person assisted visual processing method and device, and the method comprises the steps: obtaining original point cloud data of a plurality of to-be-detected objects from a preset laser radar, and collecting all original point cloud data to obtain an original point cloud data set; performing three-dimensional reconstruction on the original point cloud data set to obtain a point cloud picture, wherein the point cloud picture comprises a plurality of obstacle distances; and when any obstacle distance is smaller than a preset distance value, generating a voice prompt instruction, and performing voice prompt according to the voice prompt instruction. According to the invention, the problem of low distance measurement precision caused by weather or night environment with low penetrability can be solved, the obstacle recognition degree is improved, the blind guiding precision is also improved, the safety of the blind is guaranteed, the design is relatively simple, the popularization range is relatively wide, and the travel of the blind is not limited.

The invention discloses a driving fatigue monitoring method based on human body multi-class characteristics. The driving fatigue monitoring method comprises driver electroencephalogram signal monitoring and driver head posture monitoring. The driver electroencephalogram signal monitoring comprises the steps that an entropy value is calculated through electroencephalogram signals, and electroencephalogram signal driving fatigue monitoring indexes are formed through dimensionality reduction; according to driver head posture information monitoring, a miniature infrared temperature sensor is usedfor recording driver head posture information, and head posture driving fatigue monitoring indexes are generated; and finally, the correlation between the electroencephalogram signal monitoring indexes and the head posture information monitoring indexes are analyzed by using Pearson correlation analysis, and the influence of various interferences on the monitoring indexes is lowered, thereby forming comprehensive driving fatigue monitoring of various characteristics of the driver. The method is high in recognition degree, the system is easy to establish, the method is easy to implement, the purpose of more accurately monitoring the fatigue state of the driver is achieved, and traffic hidden dangers caused by driving fatigue are reduced. The method has the advantages of being scientific, reasonable, high in applicability and good in effect.

The invention provides a tracing agent for a urea aqueous solution, wherein the tracing agent contains, by weight, 0.01-0.8 part of amino and sulfonic-substituted naphthol, 0.01-2 parts of magnesium chloride, 0.01-2 parts of magnesium sulfate, 0.01-0.8 part of copper chloride, 0.01-0.8 part of copper sulfate, 0.01-15 parts of ammonium chloride, and 0.01-10 parts of ammonium hydrogen carbonate. Theinvention further provides an aqueous solution containing the tracing agent. According to the present invention, the tracing agent can ensure the reducing performance of the urea aqueous solution andthe service life of the SCR system, and further has advantages of simple use method, less consumption, high recognition degree and the like. The invention further provides a use method of the tracingagent or the tracing agent aqueous solution, wherein the use method specifically comprises adding to a urea aqueous solution according to a specific ratio, does not affect the physical and chemical properties of the urea aqueous solution, can achieve the purposes of quality control and authenticity identification, and can leading the healthy development of the urea aqueous solution market.

The invention provides an optical scanning module with linear CMOS image sensor, comprising a light source capable of giving out scanning lights, a reflection mirror group, a focus lens group and a linear CMOS image sensor comprising at least one CMOS image sensor unit, and an A/D analog-digital converter, wherein the light source after giving out the light rays is radiated on the object to be scanned, the object to be scanned reflects the light rays which become scanning light rays, and is focalized to the CMOS image sensing unit through the reflection mirror group and the focus lens group as well as is converted into an electronic signal which is converted to the digital signal through the A/D analog-digital converter, a USB signal or an LVDS signal is transmitted to the outside world so as to achieve the high speed scanning and low distortion rate, to have depth of field and to meet the requirement of convenient transportation.

The invention relates to a direct current transmission line fault detection method and system, and belongs to the field of power system relay protection. The method comprises the following steps: firstly, collecting single-end electrical quantity data of a direct-current line in real time to obtain a spatial modulus signal of the single-end electrical quantity; calculating the cumulant of the power transformation of the space modulus signal variable quantity of the single-ended electrical quantity in a set time window, and constructing a fault detection signal; and continuously judging at least three adjacent fault detection signals, judging whether the fault detection signals are all greater than a set detection threshold value or not, if not, returning to continue to collect and calculate the single-end electrical quantity, and if yes, determining that the line has a fault, and sending out a protection starting signal. The invention also provides a DC line fault detection system. The method provided by the invention can quickly and reliably detect the line fault, and has the advantages of sensitivity, reliability and quickness.

The invention discloses an AR (augmented reality) registration method and system. The method comprises the following steps of extracting object feature information in a picture to be registered uploaded by an AR application; recognizing the object feature information to obtain the classification grade corresponding to the object feature information in the picture to be registered; judging whether the classification grade is greater than the preset grade or not; if not, registering the picture to be registered; if so, judging whether the registered picture exists in an AR server or not; if the judging result shows that the registered picture exists in the AR server, determining whether the object feature information in the registered picture and the object feature information in the picture to be registered are identical or not; if so, registering the picture to be registered. The method and the system provided by the invention have the advantages that during the initial registration on the AR picture, if the AR picture cannot meet the registration requirements, the information of the registered picture in the AR server is referred so as to improve the recognition degree of the object feature information in the picture to be registered, so that the registration efficiency of the picture to be registered is improved.

The invention discloses a disinfectant blending kettle which comprises a kettle body, a stirring mechanism is assembled on the kettle body, the stirring mechanism comprises a stirring motor rotationally connected to the kettle body, the stirring motor is fixedly connected with a stirring shaft, the stirring shaft is fixedly connected with a plurality of stirring pieces arranged up and down at intervals, each stirring piece comprises a conical stirrer, each conical stirrer is provided with a conical gap, a plurality of annularly distributed stirring fin plates are fixedly connected to the conical stirrer, one end of the stirring fin plate is positioned in the conical gap, the other end of the stirring fin plate penetrates through the stirring fin plate and is positioned outside the conicalgap, a mounting base is fixedly connected to the bottom of the conical stirrer, the stirring shaft penetrates through the mounting base and is fixedly connected to the mounting base, the disinfectantblending kettle further comprises a disinfectant sampling mechanism and the disinfectant sampling mechanism is used for sampling a disinfectant. By adopting the design of the parts of the device, thepreparation and production efficiency of the disinfectant is improved, and the energy consumption is reduced.

The invention relates to learning and living tools, in particular to an intelligent pen that comprises an information processing module, a power supply, keys and a writing induction mechanism; the keys comprise a power key, the power key controls a power switch, and a power supply supplies power to the writing induction mechanism and the information processing module; the writing induction mechanism generates an electric signal by sensing writing information, converts the electric signal into digital information through the information processing module and then sends the digital information to a far-end device, and the far-end device sends the digital information out. The writing induction mechanism is composed of a pen bead and an induction bead, and the induction bead is a pressure-sensitive induction bead; the pen bead is tangent to the induction bead, rotation generated by the pen bead synchronously drives the induction bead to rotate in the writing process, and when the inductionbead rotates, an action signal transmitted to the induction bead by the pen bead is synchronously converted into an electric signal with writing track information through pressure-sensitive inductionunder the pressure action of the pen bead. The intelligent pen has the advantages of high precision, low error, recording/signing function and the like.