124results about How to "Quick and accurate judgment" patented technology

A content summary is generated by determining a relevance of each of a plurality of scenes, removing at least one of the plurality of scenes based on the determined relevance, and creating a scene summary based on the plurality of scenes. The scene summary is output to a graphical user interface, which may be a three-dimensional interface. The plurality of scenes is automatically detected in a source video and a scene summary is created with user input to modify the scene summary. A synthetic frame representation is formed by determining a sentiment of at least one frame object in a plurality of frame objects and creating a synthetic representation of the at least one frame object based at least in part on the determined sentiment. The relevance of the frame object may be determined and the synthetic representation is then created based on the determined relevance and the determined sentiment.

The invention, which relates to the intelligent traffic industry, discloses a high efficient and real-time analytical method of vehicle fake license suspicion and an apparatus thereof. According to the invention, all data for fake license analyses are stored in a memory; it is maintained that each vehicle is corresponded to only one record during the processing process and the total amount of the data is controlled; and it is determined whether a vehicle a fake licensed one by calculating whether a time difference of the same vehicle between two checkposts is less than a time threshold between the two checkposts, so that it can be rapidly and accurately determined whether there is fake license suspicion. Because distance between checkposts are various and the speed limits are different, time for driving a distance between each two checkposts is different from others; therefore, the shortest time for passing through the two checkposts can be determined by calculating a time threshold between the two checkposts; and the determination result is more reasonable than an arranged unified global time threshold. Moreover, a memory analytical mode is used to replace a traditional Oracle database query analytical mode; therefore, efficiency is high and operability is strong; and an operation burden of the Oracle database is reduced.

The invention discloses an urban road traffic jam judging method based on vehicle GPS data, and relates to an urban road traffic jam judging method. The problem that an application range of a traffic jam judging method depending detection equipment data is relatively large in limitation because conventional traffic information detection equipment is adopted by an existing urban road traffic jam judging method is solved. The urban road traffic jam judging method comprises the following steps: constructing an urban road link travel time prediction model based on an artificial neural network model; calculating link travel time data of a current moment according to a position vector, a link number vector, a time stamp vector and a speed vector of the current moment according to a vehicle GPS by using the urban road link travel time prediction model; further calculating a link traffic flow velocity and a link traffic flow density based on the link travel time data; with data of the link traffic flow velocity and the link traffic flow density as input conditions, judging a road traffic jam state. According to the urban road traffic jam judging method, the traffic jam state can be rapidly and accurately judged according to the GPS data of the current moment.

The invention relates to judging methods of the single phase-to-earth fault and the resonance overvoltage fault in a small current grounding system. When the system has a single phase-to-earth fault, the voltage of the earthed phase is reduced, the voltage of the non-earthed phase is increased; if the earth point is metallic grounded, the voltage of the earthed phase is zero, the voltages of the other two phases are increased to the line voltage and the brightness of a harmonic elimination lamp arranged on a PT open-delta winding is higher than 10% of the brightness under the rated voltage; when the system has a resonance fault, the voltages of the three phases are higher than the line voltage and change irregularly and the harmonic elimination lamp has different brightnesses according to different harmonic degrees; and if the voltage of one phase is reduced, the voltages of the other two phases are not higher than the line voltage and the line voltage is normal, the system is judged to have a single phase-to-earth fault; and when the voltmeter has an irregular swinging phenomenon, the system has a resonance overvoltage fault. By using the methods, the common faults of the small current system can be judged easily and practically; and the methods are accurate, reliable, convenient and practical.

The invention discloses an abnormal point detection model verification method and device, computer equipment and a storage medium. The method comprises the following steps: constructing an isolated forest model according to a preset current abnormal point proportion and a to-be-classified sample; Classifying the samples to be classified according to the isolated forest model and the current abnormal point proportion to obtain a classification result; Classifying the classification result according to a preset data attribute classification strategy to obtain an attribute classification result;Obtaining each attribute classification result in the attribute classification results; And if the first attribute average value in each attribute classification result is smaller than the second attribute average value, adding a reasonable model label to the isolated forest model. According to the method, an intelligent decision is adopted to automatically, quickly and accurately judge the classification reasonability of the isolated forest model, and low efficiency and high cost caused by manual judgment are avoided.

The invention relates to a method for detecting multi-point touch, which is characterized in that an axle Z is added on the basis of utilizing axle X and axle Y to detect the position coordinate of multi-point touch so as to detect the coordinate position of the multi-point touch in the three-dimensional space. The method overcomes the problem that the real position of the finger cannot be correctly judged, and utilizes the method for detecting the real position of the touch point in the three-dimensional space, not only is simple and feasible, but also ensures the simple structure of the corresponding touch control panel; therefore, the practicability is very high, the influence of the virtual position points can be effectively eliminated, and the real position point after being touched by multiple fingers can be correctly and rapidly judged.

The invention, which relates to the field of circuit fault diagnosis, discloses an open-circuit fault diagnosis method and system for a converter, thereby diagnosing open-circuit faults of one kind ofconverters having the same bridge arm structures and thus improving the versatility of the diagnosis method and reducing the maintenance difficulty and cost of the converter effectively. The method comprises: selecting circuit topologies of any bridge arm of a to-be-detected converter in a normal working sate and an open-circuit fault state and establishing a first consistency model; according tothe first consistency model, building a fourth consistency model that is suitable for the normal working sate and the open-circuit fault state of the converter; simulating the operating state of theconverter by using the fourth consistency model, calculating a voltage residual based on an actual phase voltage value and an estimated phase voltage value, and constructing a residual evaluation function according to the voltage residual; comparing the output value of the residual evaluation function with a set residual detection threshold; and determining an open-circuit fault of the bridge armunder the condition of meeting a set fault occurrence condition by the comparison result.

The invention provides a control method of a vehicle permanent magnet synchronous motor range extender and belongs to the technical field of the range extender control. A permanent magnet synchronous motor is used as either a starter or a generator, and is compact in structure, high in power density and high in power generation efficiency; no extra starting motor is needed so that the space and the cost can be saved; an engine always works in a high fuel efficiency rotating speed region. Meanwhile, the battery capacity, the driving intention of a driver and the drive demand are determined by use of the detection values of voltage and current sensors; the travel information of an accelerator or a brake pedal can be obtained without modifying the existing vehicle, and the determination process is quick and accurate. According to the power requirements of the whole vehicle, the range extender is capable of working in a plurality of modes, capable of effectively extending the vehicle miles of travel without affecting the power performance of the vehicle, and also capable of avoiding over-discharge of the battery and thus increasing the service life of the battery.

The invention discloses a method and a device for detecting a phishing webpage based on picture matching. The execution of the method is based on a pre-established picture rule base including a plurality of first pictures and second pictures. The method comprises the steps of screen-shooting a webpage opened by a browser to obtain a third picture; calculating similarity of the third picture and all first pictures in the picture rule base; sequencing all the first pictures in the picture rule base according to the similarity, selecting a plurality of first pictures according to the sorted sequence, wherein the quantity of the selected first pictures is less than the total quantity of the first pictures in the picture rule base; and matching the third picture with the second pictures corresponding to the selected first pictures, and if at least one of the second pictures corresponding to the selected first pictures is matched with the third picture, determining that the webpage is a suspicious phishing webpage. In the picture method, the matching quantity is simplified by calculating the similarity, and the result that the webpage is the suspicious phishing webpage can be rapidly and accurately judged based on the picture matching.

The invention relates to a test and evaluation method for an abnormal sound performance of an automobile. The method is characterized by comprising the following steps that 1) a test is arranged in the vehicle; 3) the automobile is driven in test conditions, a sensor collects and records noise data in the different conditions; and 3) the collected noise data is analyzed in an ISO532 B method, a loudness graph is drafted, and loudness values are read. Via the method, objective test data of the abnormal sound performance can be obtained directly and rapidly, whether the automobile has a problemof abnormal sound is determined rapidly and accurately, and sound pressure level and loudness of the abnormal sound in a test result needs to be analyzed. The method is simple, efficient and low-cost,expensive testers and tools are not needed, the method is not limited by automobile models, and the simple, practical and economic test and evaluation method is provided for development and optimization in the field of abnormal sound performance of the automobile.

The present invention discloses a method for judgment of cheddar cheese grade based on identification characteristic flavor compounds, comprising the following steps: selecting cheddar cheese of different grades as standard product, and extracting volatile flavor compounds from the standard product; using gas phase-sniffing device to screen out characteristic flavor compounds with higher flavor intensity from the volatile flavor compounds through aroma extract dilution analysis; proceeding with clustering of characteristic flavor compounds as screened out to obtain identification characteristic flavor compounds of cheddar cheese; measuring the concentration of identification characteristic flavor composition of cheddar cheese of known grade, and establish the training set for training of support vector machine; measuring the concentration of identification characteristic flavor composition of cheddar cheese to be tested, and inputting it into the support vector machine trained to judge the grade of cheddar cheese to be tested. The present invention aims to obtain the model of identification characteristic flavor compounds of cheddar cheese through statistical analysis, which is available for accurate judgment of cheddar cheese quality grade on this basis.

The invention discloses a vector control dead zone compensation method and a vector control dead zone compensation system for a permanent magnet synchronous motor. The method comprises: 1) performingthree-phase current collection, corresponding coordinate transformation and filtering, and inverse coordinate transformation; 2) detecting the electrical angle of the current sampling period by the encoder provided by the motor, calculating corresponding electrical angular velocity according to the electrical angle change of corresponding time interval to calculate the electrical angular acceleration, and predicting the electrical angle of the next sampling period after the low-pass filtering processing; 3) determining whether the current time is the dead zone compensation time by comparing whether the current electrical angle and the predicted electrical angle of the next period and the current value of the three-phase current in the current sampling period is less than the set thresholds; and 4) compensating the corresponding voltage according to the judged dead zone compensation time and the current magnitude when the current crosses zero. The invention overcomes the dead zone compensation failure caused by excessive calculation and sampling lag, and realizes real-time high performance control of the motor.

A liquid droplet detecting device includes nozzles arranged in a paper width direction orthogonal to a paper conveying direction to discharge liquid droplets, a light emitting element provided on one side of the paper width direction to emit a light beam for liquid droplet detection, a light receiving element provided on the other side of the paper width direction to receive the light beam, a storage in which correspondence information on each of the nozzles and a scan position of the light beam when discharge of a liquid droplet from each of the nozzles is detected is stored, a controller to allow the light beam to scan according to the correspondence information, and a detector to determine presence or absence a liquid droplet discharged from each nozzle from an output of the light receiving element.

The invention discloses an occupational psychological character analysis method based on a social network, and particularly relates to the field of psychological analysis. The occupational psychological character analysis method comprises the following steps: 1) collecting basic information of a user; 2) constructing an MBTI occupational character four-dimensional classifier; 3) sending a new dataset of which the weight is modified to a lower-layer classifier for training; and 4) completing an MBTI analysis report of the object. According to the occupational psychological character analysis method based on a social network, personal social network content is collected and comprehensive and deep quantitative analysis is carried out; the association between the personal microblog content and the professional psychological character is quantified by means of an MBTI model; the recruiter can comprehensively, rapidly and accurately judge the occupational psychological characters of the candidate according to the content published by the candidate in the social network by collecting the samples to train the classifier, so that an objective basis is provided for decision making; and meanwhile, automation of the whole analysis process is achieved through the information technology, and the time cost of analysis is greatly reduced.

The invention relates to a method for detecting a practical touch control point position on a touch control screen during multi-finger operation. In the method, the accurate positions of all touch control objects on the touch control screen are detected by utilizing a generated inducing peak value. The method constructively provides different solutions under the condition of generated different virtual position points, therefore, the practicability is higher; and the method is simple and easy and can effectively eliminate the influence of the virtual position points and accurately and rapidly judge the practical position point after multi-finger touch.

The invention discloses a student learning behavior analysis intervention method, device and system, and the method comprises the steps: receiving real-time student video data and environment data ina classroom, carrying out the preprocessing, and extracting student visual features and air composition features; merging the student behavior features and the air component features into new featurevectors, performing feature fusion by utilizing artificial neural network analysis and processing to obtain real-time feature fusion data, and storing the real-time feature fusion data in a historicaldatabase; learning and training historical database data through a neural network algorithm, and carrying out data analysis on air conditions and student states to form a normal value model; and calculating an expected value of the current air condition and the student state by combining the real-time feature fusion data, comparing the expected value with the real-time feature fusion data, judging that the real-time data is normal data or abnormal data, finishing student learning behavior analysis, and adjusting environmental data according to an analysis result to carry out intervention.

The invention discloses a method of detecting whether a checkbox is selected in a paper prescription document, belonging to the technical field of image processing. The method mainly comprises the following steps of (1) collecting an image of a prescription document so as to obtain a front color image; (2) extracting the front color image of the prescription document, and converting the front color image into a document grayscale image; (3) calculating an angle of inclination of the document grayscale image, and performing inclination correction; (4) identifying page identification on the document grayscale image; (5) performing binarization on the document grayscale image so as to obtain a document binary image; (6) creating a positioning template, and determining an initial positioning range of each checkbox according to relative positions of each document feature area configured in the positioning template and each checkbox area; (7) positioning each checkbox accurately; and (8) determining whether each checkbox is selected. The method of automatically detecting whether the document image checkbox is selected has high detection efficiency and high identification rate and is stable and reliable.

The invention discloses an object profile judging method. The method comprises the steps of forming a laser scanning surface through emitting the laser onto an object by means of a laser scanner; receiving the reflected light of the laser when encountering the object by means of the laser scanner; parsing the reflected light by means of the laser scanner to form the reflection information, wherein the reflection information includes the distance and the angle of the object relative to the laser scanner; converting the reflection information to obtain the position coordinate information of the object; and connecting the coordinate information of multiple positions of the object together to form the outline of the object. Based on the object profile judging method, the object profile of the laser scanning surface can be quickly judged. The object profile judging method has the advantages of anti-jamming performance, high resolution, high accuracy, small error, good stability, fast speed and the like.

The invention discloses a method for detecting safety of insect-resistant transgenic corn on non-target organisms. The method for detecting the safety of the insect-resistant transgenic corn on the non-target organisms comprises the following steps of: selecting insects with sucking mouth parts in the non-target organisms as a population to be detected, detecting whether an insect-resistant transgenic plant is safe for the population to be detected, if so, determining that the insect-resistant transgenic plant is safe for the non-target organisms in candidate, otherwise, and determining that the insect-resistant transgenic plant is not safe for the non-target organisms in candidate. The method makes up the defect that the insects with chewing mouth parts are separately used as research objects in the field of influence research of the transgenic corn on the non-target organisms, has significance for completing the influence research of transgenic crops on the non-target organisms, and has significance for determining the biological safety of the transgenic plants.

The invention relates to the vehicle monitoring technology, and discloses a vehicle running state monitoring method and device. The vehicle running state monitoring method comprises the steps that a front image in a running vehicle is captured; at least one lane side boundary of a lane where the vehicle is located is recognized from the front image; two vehicle head side boundaries of the vehicle are recognized from the front image; according to the position relation between the two vehicle head side boundaries and the lane side boundary, whether the vehicle deviates from the lane or normally runs is judged. According to the vehicle running state monitoring method and device, whether the vehicle deviates from the lane or not can be rapidly and accurately judged, and therefore direct and reliable driving prompt messages are provided for a driver based on the vehicle running state.

The invention discloses a wafer working method for monitoring defect conditions of multi-cavity devices, and is applied to a production execution system. The method comprises the following steps: rules of detecting wafers in a defect detect station and cavity information of all multi-cavity devices are saved in a central server; when working wafers reach any working procedure, the central server determines to-be-selected-and-detected wafers in the wafers and controls the multi-cavity devices in the present working procedure to distribute the to-be-selected-and-detected wafers into different cavities of the multi-cavity devices to carry out working, and the present distribution and working information are recorded; the defect detect station in the present working procedure carries out defect detection on the to-be-selected-and-detected wafers after working; and according to defect detection results, defect conditions of the multi-cavity devices in the present working procedure are monitored. Through the adoption of the technical scheme of the present invention, effective monitoring can be carried out on the defect conditions of the plurality of cavities of working procedure devices in a production execution system, and at the same time, reasons for occurrence of defects of the wafers can be rapidly and accurately determined.

The invention comprises: carrier, sampling pad, reaction block, peridium film and absorbent paper. Said sampling pad, reaction block, peridium film and absorbent paper are sequentially pasted on the carrier; said reaction block containing the antigen and antibody to the 6-acetyl morphin which is a specificity metabolite of heroin; the antigen to the 6-acetyl morphin has B,C two structures; the B is 6 bits and is connected to the bovine serum albumin; the C is connected to the bovine serum albumin through N base group.

The invention discloses an LTE uplink interference classification method based on PCA and a two-dimension skewness feature. The method comprises the following steps: firstly collecting and sorting outuplink interference classification data of the existing LTE base station; and then performing PAC dimension-reduction and extracting the two-dimension skewness feature after preprocessing the data; setting a model parameter search range to obtain an optimized classification model; and finally judging whether the interference is existent by performing average interference level statistics on an unknown cell, extracting this method feature to place in the trained model to perform the prediction classification if the interference is existent. Through the method disclosed by the invention, the evaluation is performed by using an AUC classification performance index; the uplink classification category can be accurately and fast judged through the classification method, and the classifier performance can be continuously improved with the increase of the uplink interference data size.

The embodiment of the invention relates to a repair method of a non-high-availability component, a big data cluster, a container service platform, a system and a storage medium. The method comprises the following steps: the big data cluster synchronizes the event information to the container service platform; and in response to a fault event of the non-HA component, obtains a repair mirror image address corresponding to the repair non-HA component from the container service platform, obtains a repair mirror image file from the container service platform according to the repair mirror image address, and carries out repair processing on the non-HA component according to the repair mirror image file. The technical scheme provided by the embodiment of the invention is adopted; manual operationbased on operation and maintenance personnel in the prior art is avoided; response time of different faults cannot be guaranteed.Therefore, the technical problems that the influence of the componentfault on the service cannot be estimated and the service provided to the outside is influenced finally are solved, and the technical effect that whether the non-HA component has the fault or not is judged quickly and accurately, so that the non-HA component with the fault is repaired efficiently and accurately is achieved.

The invention relates to an evaluation method for the safety status of the tire of a running automobile. The evaluation method is used to monitor tire burst dangers in real time. The technical scheme is that tire temperature T (t), tire pressure P (t), change rate T' (t) of tire temperature and change rate P' (t) of tire pressure are taken as input parameters, universe adjustment and fuzzy processing are conducted to four-dimensional input parameters first, fuzzy reasoning, de-fuzzy calculation and max data fusion are conducted to obtain clear value d of burst probability, and finally the safety status of the tire is judged according to the clear value d of tire burst probability. The evaluation method of the invention has the advantages that the precision is high, the practicability is high, the safety status of the tire can be rapidly and accurately judged, the defect of the traditional monitoring technology that 'fixed threshold and critical early warming are difficult to be realized' is fundamentally solved, major accidents such as tire burst are thoroughly avoided and the traffic accident rate is greatly reduced.

The invention discloses an optical fiber vibration detection method, device and system. The method comprises the steps of: obtaining signal values of a plurality of moments at a target optical fiber position when an optical fiber electrical signal is received; determining a first average value of the signal values corresponding to a first number of moments from the target moment to the moments before and adjacent to the target moment at the target optical fiber position; determining a second average value of the signal values corresponding to a second number of moments before and adjacent to the first number of moments; if the first average value is larger than the second average value, recording the target optical fiber position as a first state; if the first average value is smaller than or equal to the second average value, recording the target optical fiber position as a second state; and determining that the vibration happens at the target optical fiber position when the state of the target optical fiber position changes. By means of the above mode, the precision and the efficiency of optical fiber vibration positioning can be improved.

The invention discloses a method which is used for the storage process and realizes the determining and accounting for vehicles which cross the border. A service centre which comprises a service layer, a data layer and a network layer is established, all the operations of the service layer and the network layer of the service centre to a data base in the data layer are realized through a storage process, the network layer of the service centre stores the data uploaded by a vehicle terminal into the driving data sheet in the data base of the data layer after the data is analyzed, the service layer stores the definite regional parameters logged by a vehicle manager in a definite regional sheet in the data base, when the service center receives determining and accounting for the vehicles which cross the border of a vehicle manager, the service center determines whether the vehicle crosses the border, and accounts the vehicle border crossing condition. The invention realizes that the border crossing state of tracing points of large scale vehicles is accounted in the data base, further accounts the border crossing frequency, the border crossing time span and the driving distance during the border crossing period, then returns the statistical result to the service layer, the purposes for improving the speed and reducing the date transmission quantity are achieved, therefore, the system processing time is shortened.

The invention discloses a dispute focus category and similarity judgment method, system and device and a recommendation method, and belongs to the field of natural language processing. The dispute focus category and similarity judgment method comprises data set construction, model construction and training. According to the invention, a recall model and a refined arrangement model are used in the whole architecture; the recall model directly classifies dispute focuses, the accuracy is limited, but the speed is high, so the overall efficiency is guaranteed; the refined model makes full use of a Self-attention mechanism of bert to perform semantic interaction on dispute focuses, and although the speed is slightly slow, the accuracy is high; therefore, the speed and the accuracy are effectively balanced by the recall-refined dual model.