50 results about "Dynamic screening" patented technology

Dynamically filtering and classifying messages, as good messages, bulk periodicals, or spam. A regular expression recognizer, and pre-trained neural networks. The neural networks distinguish “likely good” from “likely spam,” and also operate at a more discriminating level to distinguish among the three categories above. A dynamic whitelist and blacklist; sending addresses are collected when the number of their messages indicates the sender is good or a spammer. A dynamically selected set of regular expressions input to the neural networks.

A system and method for providing dynamic screening of transient messages in a distributed computing environment is disclosed. An incoming message is intercepted at a network domain boundary. The incoming message includes a header having a plurality of address fields, each storing contents. A set of blocking rules is maintained. Each blocking rule defines readily-discoverable characteristics indicative of messages infected with at least one of a computer virus, malware and bad content. The contents of each address field are identified and checked against the blocking rules to screen infected messages and identify clean messages. Each such clean message is staged into an intermediate message queue pending further processing.

The invention discloses a dynamic screening and comprehensive weight setting method for low-voltage transformer area line loss rate analysis indexes, including the following steps of: collecting and summarizing low-voltage transformer area line loss rate analysis indexes, and establishing a first-level index system of a low-voltage transformer area line loss rate; dynamically screening the first-level index system by a principal component analysis, screening out a low-dimensionality second-level index system of the low-voltage transformer area line loss rate, using the low-voltage transformer area line loss rate as a third-level index, and thereby obtaining the dynamic index system, including three levels, of the low-voltage transformer area line loss rate; working out the comprehensive weight of the second-level indexes to the third-level indexes in the dynamic index system by a step analysis-factor analysis method, and assessing the contribution rate of each second-level index to the low-voltage transformer area line loss rate according to the obtain comprehensive weight. According to the dynamic screening and comprehensive weight setting method provided by the invention, on the one hand, a reference base is provided for analyzing the low-voltage transformer area line loss rate by a power supply enterprise; in addition, the contribution rates of the indexes to the line loss rate are assessed, thus being conductive to assisting the power supply enterprise to perform targeted management and transformation to the low-voltage transformer area line loss rate.

The invention discloses a big data processing method capable of distinguishing states of intelligent televisions, and relates to the data acquisition analysis field for dynamic screening of television states. Through a whole system formed by televisions and a cloud server, states of intelligent televisions are effectively registered, then a label adding way during data acquisition and storage is utilized to conduct archiving of data sources, and data mining analysis values are increased. Intelligent television terminals actively or passively modify states of the terminals themselves, upload the states to a cloud end, dynamically refresh state databases of intelligent televisions, conduct ID matching for each piece of uploaded data, put on state labels, and carry out later-period storage and analysis for verification. The data quality is improved by means of product state identification, data itself is made to match generation backgrounds, and data values are greatly increased while the data mining difficulty is reduced.

A system and method are disclosed for providing a complete architectural and procedural solution to wireless subscriber loyalty issues. A flexible promotion creation environment allows mobile phone operators to rapidly create and deploy various incentive programs and other such loyalty schemes; together with a data mining and profiling method for tracking, monitoring and analysing subscriber (or aggregate) usage information associated with given promotions. The proposed data mining and profiling method purposely incents specific subscriber behaviors by triggering a point-based reward scheme based on the dynamic screening of event records which are correlated with incented behaviors. Wherein a threshold is assigned based on usage information for a particular promotion; upon realization of which, the subscriber is, immediately notified of the reward through a plurality of means including e-mail, voice notification and by way of Short Message Service (SMS) at their wireless handset.

The invention provides a specific target candidate box generating method based on gauss models. The method includes the steps of establishing gauss models of each pixel point with a target scale varying with time as an independent variable, training the gauss models, dynamically screening out the position where the target appears frequently and the target scale information in a learning process to obtain a detection area, and uniformly setting a candidate box in the detection area through a sliding window searching means according to the target scale information obtained during the gauss model learning. The gauss models are trained by using the inherent characteristics of special scenes inlcuding stationary monitoring videos and vehicle-mounted monitoring videos to obtain the area where the target appears frequently and the scale information of a detected point. On-line learning mechanism is employed, so that updating and detection of the model are conducted synchronously. The target detection efficiency and detection effect are substantially improved, and assistance for a subsequent specific target identifying and tracking process is provided.

The invention discloses a channel screening optimization method and system of communication terminal equipment, a plurality of satellites and a plurality of ground base stations are networked, when a new terminal accesses, channel screening is carried out on a new access terminal with resource competition occupation during data transmission, and the method comprises the following steps: acquiring wireless radio frequency channel signals of the plurality of ground base stations; performing virtual channel transmission matrix mapping on the virtual partitions of the ground base station based on respective data tasks of the original satellites to obtain an information source coding matrix and a channel coding matrix; on the basis, the condition that the modulus of the transmission capacity of the wireless radio frequency channel signal is smaller than the maximum receiving power of the virtual partition and the condition that the signal-to-noise ratio strength of the wireless radio frequency channel signal is minimum are taken as conditions; dynamic screening and channel preliminary screening of virtual partitions are realized; and according to the dynamic parameters, obtaining the priority of arrangement, and according to the priority, combining with other terminals to realize channel fine screening. The method is used for solving the problem of balance switching between a satellite and a ground station when resources are limited in the prior art and improving the effective utilization rate of satellite communication resources.

The invention provides a vision screening system. The vision screening system comprises a clamp plate, a filtering window, a hand-held terminal and an upper computer, wherein the clamp plate is vertical to the orthogonal direction of the linear polarization direction of the filtering window, the filtering window is fixed to the front of the hand-held terminal through a fastening rope, the hand-held terminal and the upper computer are in communication through the wireless network, and thus the rapid screening for the vision is realized. The vision screening system has the advantages that the operation is simple, the response is sensitive, the evaluation result is strong in reminding property, the cost is low, etc. For the vision screening system provided by the invention, the circular polarization 3D vision technology, the vision light screening technology and the internet intelligent interaction technology are combined, thus the on-line dynamic screening and correcting for vision are realized, the comprehensive state of the vision and corrected vision of a tested person can be rapidly evaluated, a convenient and simple measures is provided for vision protection and health care of the tested person, and the evaluation result can be used as a reference tool for daily nursing and self health care.

The present application relates to an image prediction method and apparatus based on region dynamic screening and an electronic device. According to an embodiment, an image prediction method may include dividing a current frame image into a plurality of sub-regions according to a predetermined standard; Determining an extended region corresponding to each sub-region, the extended region includingthe sub-region and being larger than the sub-region; Performing image recognition to determine an object of interest in the current frame image; Determining the sub-region in the extended region as asub-region of interest based on the extended region including at least a portion of the object of interest; Predicting the sub-region of interest using image information within the extended region toobtain a predicted sub-region of interest; And replacing a corresponding sub-region of interest in the current frame image with the predicted sub-region of interest to obtain a predicted frame image.By using the prediction method, the efficiency and speed of video prediction can be improved, and the prediction accuracy is not limited by the video size.

The invention relates to a particle filter steering engine state prediction method based on an improved weight generation mode. The particle filter steering engine state prediction method based on animproved weight generation mode includes the following steps: 1) F distribution particle filter prediction framework; 2) F kernel construction; and 3) dynamic screening process. The particle filter steering engine state prediction method based on an improved weight generation mode has the advantages that 1) even if the newest current measurement value set does not conform to the normal system development trend and the obtained current particle set at the same time is not in the correct area, the predicted system state can be used for alleviating uncertainty caused by measurement of noise amount through correction of the weight; and 2) compared with a traditional particle filter method, the particle filter steering engine state prediction method based on an improved weight generation mode can obtain better fault prediction accuracy.

The invention relates to the technical field of thermodynamic diagrams, and discloses a thermodynamic diagram generation method and device, a storage medium and equipment, and the method comprises thesteps: receiving a thermodynamic diagram generation request initiated by a client, wherein the thermodynamic diagram generation request comprises a time constraint parameter and a space constraint parameter; analyzing the thermodynamic diagram generation request to obtain an analysis result, wherein the analysis result comprises a time parameter corresponding to the time constraint parameter anda space parameter corresponding to the space constraint parameter; performing data processing on the spatial point data of the server according to the analysis result to obtain thermodynamic diagram data; and sending the thermodynamic diagram data to the client, so that the client generates a thermodynamic diagram according to the thermodynamic diagram data. According to the thermodynamic diagramgeneration method and device, the storage medium and the equipment provided by the invention, the spatio-temporal data can be dynamically screened according to the given spatio-temporal constraint parameters, and the thermodynamic diagram is generated in real time.

The invention discloses a screening testing system of a laser seeker MEMS gyro. The testing system comprises a testing data acquisition unit, a dynamic screening testing unit and a temperature compensating screening testing unit. The system can perform individual performance screening on the purchased MEMS gyros, thereby preventing discarding processing in a unqualified condition caused by performance screening testing after gyro loading. According to a method of the invention, screening testing can be performed on individual gyros. Through three designed screening testing systems, the MEMS gyro with low zero-bit drift error, stable dynamic performance in different rotating speed environments and stable angular speed output value in different temperature environments can be effectively screened. Through a calibration compensating mode, the precision of the effective MEMS gyros which are screened in different environments can be further improved, thereby improving index precision of a product.

The invention aims to mainly solve the problems that a fire remote sensing monitoring high-temporal-spatial-resolution data source is single, the accuracy of an existing monitoring method needs to be improved and the like, and provides a high-frequency spatial self-adaptive threshold high-precision fire remote sensing recognition monitoring method based on brand-new geostationary meteorological satellite GK-2A data. The fire monitoring channel is expanded, and the fire monitoring accuracy is improved. The method mainly comprises the steps of data preprocessing (GK-2A satellite data projection conversion, radiation correction, atmospheric correction and the like); marking clear sky pixels (identifying pixels in a cloud region, a water body region, a desert region and the like to mark the clear sky pixels); effective background pixel screening (dynamic screening based on underlying surface type differentiation); background pixel brightness temperature calculation; fire point pixel dynamic threshold value identification (correction coefficient self-adaptive dynamic processing based on the solar altitude and the vegetation proportion, and standard deviation self-adaptive correction based on the cloud pixel proportion); and false fire point elimination. According to the method, the channel of remote sensing fire monitoring is greatly expanded, and the accuracy of remote sensing fire monitoring is improved.

The invention provides a resume retrieval method and device. The method includes: receiving keywords inputted by a user; performing retrieving according to the keyword to obtain and display a first retrieval result; setting a category of secondary screening according to the category corresponding to the keyword; receiving the selection of the secondary filtering category by the user, and obtainingand displaying the second retrieval result according to the selection of the secondary filtering category by the user. A resume intelligent screening mode is adopted, which is one-box search + secondary dynamic screening, through the dynamic perception of the content input by the user, the related content of the secondary search is intelligently recommended, and the invention is used for the resume secondary screening mode of the user.

The invention discloses a music screening method which comprises the following steps: S1) receiving a starting signal, and carrying out a static screening mode or a dynamic screening mode according tothe starting signal; S2) detecting a human body activity state and generating a corresponding physiological signal; The method comprises the steps of (S1) establishing a physiological signal of a user, (S3) establishing a user physical and mental state model according to the physiological signal, (S4) loading the user physical and mental state model to generate corresponding song characteristic parameters, and (S5) selecting one or more playing and selecting music files matched with the current song characteristic parameters from a music database according to the song characteristic parameters.

The invention discloses Chinese herbal medicine processing equipment and a Chinese herbal medicine processing technology, and relates to the technical field of Chinese herbal medicine processing. The Chinese herbal medicine processing equipment comprises a base; the top surface of the base is fixedly connected with two groups of damping buffer pieces which are symmetrically arranged; the top ends of the two damping buffering pieces are fixedly connected with frame bodies; the top faces of the two frame bodies are fixedly connected with a feeding mechanism and a screening mechanism correspondingly; one surface of the feeding mechanism is fixedly communicated with the screening mechanism; the feeding mechanism comprises a hopper; a first transmission assembly is fixedly mounted on the inner wall of the hopper; and the peripheral side face of the first transmission assembly is connected with a distributing roller. Through the design of the screening mechanism, single-layer static screening of a traditional screening device is changed into multi-layer repeated dynamic screening, through multi-layer repeated dynamic screening, on one hand, the screening efficiency and screening accuracy of the device can be effectively improved, and on the other hand, through dynamic screening, Chinese herbal medicine particles can fully flow in the screening process, and then the wrong screening rate and the screening leakage rate of the device are reduced.

The invention provides a purpose of an ion pump inhibitor for inhibiting epithelial-mesenchymal transition and resisting tumor metastasis. The ion pump inhibitor has a general structure formula shownin the description; the effective concentration of the ion pump inhibitor is 20nm to 10mu m. An efficient dynamic screening method is used; various small molecule compounds are subjected to screeningwhether the small molecule compounds are EMT target spots or not; the obtained ion pump inhibitor can effectively inhibit epithelial-mesenchymal transition and tumor metastasis; a novel method is provided for treatment target spots for clinically treating tumor metastasis; huge social and economic interests can be brought.

The invention discloses a method for quickly judging a point cloud inclusion problem. The method comprises the following steps: (1) inputting line segment group information of a point set to be judgedand a contour; (2) determining the maximum value and the minimum value of each endpoint coordinate in the line segment group of the contour; (3) for an input point set, screening out points with coordinates between the maximum value and the minimum value to obtain a screened coordinate point set arranged in sequence; (4) screening contour line segments through points and then calculating whetherthe contour line segments intersect or not; judging whether the point is in the area or not according to the total intersection number; and (5) repeating the step (4), judging all coordinate points inthe screened coordinate point set one by one, finding out points in the contour, and outputting a point cloud inclusion result. According to the method, the points needing to be judged and the line segments needing to be calculated are subjected to multi-step dynamic screening by sorting the point mark serial numbers, the points and the line segments, rapid judgment of the point cloud inclusion problem is achieved, and the method is stable, reliable and high in robustness.