921results about How to "High reference value" patented technology

The invention is applicable to the field of information processing and provides a device and a method for recommending personalized information and an information processing system. The method includes: acquiring interaction records of SNS (social network site) users and article usage records of the SNS users; calculating similarity among the SNS users according to the interaction records, and dividing the SNS users into similarity groups according to the similarity; calculating grades, given by the SNS users, of articles according to the article usage records; predicting grades, given by target users, of the articles according to grades, given by other users in the similarity groups, of the articles; and recommending top N highly-graded articles to the target users. Accuracy and credibility of recommending results are improved effectively, and the recommended personalized information has greater reference value for users.

The invention relates to an automobile driving simulation system based on a VR simulation technique and a method. Compared with the prior art, in the driving simulation process, not only are driving operations of a driver fed back, but also corresponding automobile body actions during driving are generated in real time, and meanwhile the driver state in the driving simulation process is dynamically monitored to serve as a reference of a driving behavior analysis result; in addition, a driving simulation scene is displayed by adopting the VR simulation technique replacing a plane simulation technique, virtual scenes and road conditions in the corresponding angles are generated in real time according to the sight line of the driver, therefore, the driver has the truer feel, the operation intentions of the driver and the true reflection of the driver under the different road conditions can be reflected more truly, the data collecting accuracy in the driving simulation process is improved to a large extent, and the very high reference value on detecting and researching the driving behaviors of the driver is achieved.

The embodiment of the invention provides a shooting processing method and device, and a device for shooting processing. The shooting processing method includes: acquiring a reference picture matching a current environment feature and / or a user personalized feature in a shooting mode; and displaying the reference picture. According to the embodiment of the invention, the reference picture is recommended to the user according to the current environment feature and / or the user personalized feature so as to assist and instruct user to shoot, and the shooting effect and the quality of pictures can be improved.

The invention discloses a bridge crack detection method. Due to the fact that manual marking has certain subjectivity, the pavement crack detection precision depends on experience knowledge of experts, and experience lacks objectivity in quantitative analysis. The method comprises the following steps: 1, collecting images of a detected bridge floor one by one to obtain a bridge floor image set; 2,splicing images; 3, detecting crack; 4, extracting crack parameter. According to the invention, the image acquisition and processing technology replaces human eyes to complete automatic nondestructive detection of the bridge crack, and has very important practical significance for research of the bridge crack detection technology in a complex terrain environment. On one hand, the construction safety is enhanced, and on the other hand, the operation maneuverability and flexibility are improved. According to the invention, fidelity splicing of multiple groups of bridge deck images is realized,the image splicing precision and efficiency are improved, a working foundation is laid for subsequent bridge crack image detection, and a technical reference is provided for image splicing detection in other fields.

The invention relates to a full-automatic oiling serving robot for an unmanned oiling station.The full-automatic oiling serving robot comprises an external-expansion type rail, a movable intelligent platform, an industrial mechanical arm, a function switching rotating disc, a humanoid mechanical gripper, an electric suction cup, a touch mechanical gripper, a machine vision system, a man-computer interaction system, an oiling gun, an oiling machine, an oil pipe and a control cabinet.Automatic station switching of different kinds of devices is achieved through the function switching rotating disc in cooperation with supports with different functions and the like, and switching efficiency is improved; full-automatic oiling operation of different vehicles is achieved by using the humanoid mechanical gripper, the electric suction cup and the touch gripper in a matched mode, and the serving range of the robot is expanded; shape and position identification of outer cover plates and oil tank covers of automobiles is achieved in combination with the machine vision system, and the functions of monitoring and identifying the running condition, automobile license plates, owner identity and the like are further achieved; due to the cooperation of the human-computer interaction system, the types of the automobile oiling services of the full-automatic oiling serving robot are richer, and the application range is wider.

The invention discloses a block model building method for complex geological structure, and relates to the geological field of three-dimension modeling comprising the following steps: a, triangular meshing description is carried out on planes or fault planes; b, after step a, level intersection in block modeling for complex geological structure is converted into triangle intersection in space, whether the two triangles are intersected is judged, points of intersection are found from the two intersected triangles, and a line of intersection is obtained by connecting the points of intersection; c, geometric consistency and topological consistency are carried out on inside of each intersected triangle; d, after step c, enclosing block is extracted to obtain an interface formed by peripheral sides of the enclosing block, and is defined geological attribute to form three dimension model block. The method in the invention completely solves the problems of three dimension model input and blocking in complex geological regions, avoids using equations set with high solving difficulty and calculated amount, and is simple and practical.

The invention provides a method for testing a gas-water relative permeability curve by using a tight sandstone steady state method. The method comprises the following steps: preparing a stone core; preparing simulation stratum water; vacuuming till the simulation stratum water is saturated; connecting an experiment device and heating to experiment temperature; putting the stone core into the experiment device, pressurizing, releasing the pressure, testing the mass and the liquid phase permeability of the stone core; establishing irreducible water saturation; controlling the flowing speed of gas, and injecting the simulation stratum water at a relatively slow flowing speed, after the gas flow at an outlet is stable, increasing the flowing speed of liquid, and measuring a next point till displacement pressure meets the maximum set value and the flowing speed of the gas at the outlet is reduced to 0.1mL / minute, and terminating the experiment; according to improved phase permeability equations, calculating water saturation and relative permeability of different points. By adopting the method, two-phase permeation characteristics in the tight gas reservoir production process under stratum conditions can be simulated, the influence of the temperature on gas-water viscosity is taken into account, the influence of pressurization on the water content of the stone core is also taken into account, the irreducible water saturation and the relative permeability curve can be relatively accurate and reliable, and high-value data can be provided for gas reservoir production evaluation.

The invention discloses an optimization method of the shortest emergency logistics path based on the fish swarm ant colony algorithm. The congestion factor is introduced into the basic ant colony algorithm to solve the optimization problem of the shortest emergency logistics path and enhance the search for emergency logistics. The ability to optimize the best solution for the path reduces the possibility of the basic ant colony algorithm falling into a local optimum. (1) Input the number of ants, the maximum number of iterations and the maximum load capacity of the vehicle, select the emergency situation, and input the importance of residual pheromone, the importance of heuristic pheromone, evaporation coefficient and intensity coefficient; (2) Find the shortest emergency logistics route : (1) Establish the model of the shortest emergency logistics route optimization problem; (2) The solution process of the model; (3) Display the distribution route results and the performance comparison results of the algorithm in solving the shortest emergency logistics route optimization problem. The optimization scheme for finding emergency logistics routes in the present invention is more efficient.

The invention discloses an outlier detection-based real-time anti-power-theft monitoring method for a power utilization information acquisition system. The method comprises the steps of calculating line loss of each zone area according to acquired power data of each zone area, and preliminarily judging whether a zone area in an abnormal power utilization state exists or not; if the line loss of certain zone areas is abnormal, collecting power utilization data of the corresponding zone areas, wherein the power utilization data includes user real-time power utilization data and abnormal event data; selecting reasonable evaluation indexes and building a comprehensive power theft suspicion analysis model in combination with methods of outlier detection, data statistics and the like; and taking data collected by a main station as an input of the model, processing user data through the analysis model and obtaining a user power theft suspicion coefficient, thereby locating a suspected power theft user. According to the method, the deficiency of only manual analysis of massive data is overcome, and the efficiency of an algorithm and the reference value of a detection result are improved.

The invention discloses a teaching method and system based on cross-media dynamic knowledge graph. The method comprises the following steps of constructing the cross-media dynamic knowledge graph; storing entity related information in the knowledge graph, and returning attribute values corresponding to entities through subject knowledge questions and answers; obtaining feedback information of students and knowledge points, calculating the knowledge point recommendation degree and the learning resource recommendation value score, and therefore, constructing a knowledge point recommendation listand a learning resource recommendation list and returning the lists to learners; constructing a course knowledge card; recommending friends, and recommending other users with similar learning progress and learning conditions to the current user. The teaching system comprises a data layer, a data analysis layer, an application layer and a user layer. The teaching method can be realized through a computer-readable storage medium. The problem that in the prior art, a teaching scheme cannot be formulated in a targeted mode according to learning characteristics is solved, the individualized teaching can be achieved, and the teaching level is effectively improved.

The invention discloses a personalized paper recommendation method and a system thereof. The method includes the following steps: step 1, finding out heterogeneous academic network data based on the behavioral characteristics of researchers writing academic papers in the filed of scientific research, and building a training dataset according to the heterogeneous academic network data, and training as per the training dataset to obtain a ranked study model; step 2, on-line building user configuration, generating candidate collected papers interested by users, generating the result of paper recommendation based on the ranked study model according to the candidate collected papers, generating paper recommendation as per a certain manner and returning the paper recommendation to a user based on the result of paper recommendation; step 3, on-line receiving user feedback, and updating the result of paper recommendation correspondingly as per different user feedback. The method and the system effectively solve the problem of cold start at the initial stage of the recommendation system, and guarantee the accuracy and recall rate of the recommendation result.

The invention discloses a wearable device based on neural network adaptive health monitoring. The wearable device comprises an exercise state solving module, an exercise link judgment module, a dimension reduction solving module, a physiological parameter setting module and a physiological parameter collection module; the exercise state solving module collects acceleration data output by an acceleration sensor, high-frequency noise is filtered through wavelet transformation, and the exercise state of a user is divided; the exercise link judgment module subdivides the exercise state in combination with an angular velocity to obtain an exercise subdivision link; and according to the dimension reduction solving module, an optimized SVM is used to perform further fine division on partial pathological features hierarchically in combination with data at different levels. According to the wearable device, different feature dimension reduction samples are integrated in an analysis link, the amount of exercise is greatly reduced, correctness is guaranteed by emphatically calculating a verification link, the medical reference value of obtained user physiological parameters is increased, and power consumption standby capability is improved under the same condition.

The invention relates to a VR technology based automobile driving simulation device. Compared with the prior art, the simulation device of the invention not only gives feedback on the driving operations of the driver but also generates corresponding automobile actions during the driving. The device also dynamically monitors and simulates the state of the driver in the process of driving for reference to a driving action analyzing result. In addition, a VR simulation technology is used to replace the planar display of a driving scenario, and generates in real time a simulated scenario and road condition according to the angle of the eye view of the driver so that the driver can have truer feelings. And therefore, the operation intentions and the real actions under different road conditions of the driver can be reflected more truly. To a larger extent, the accuracy for acquiring data in the process of simulated driving can be increased, providing valuable reference to detection and research on the driver's actions.

The invention is applicable to the information processing field, and provides network map comment information displaying method and device, and an information processing system. The method comprises the following steps: receiving a looking-up request of an SNS (Social Networking Services) user on comment information on a certain geographical position on a network map; searching the geographical position comment information published by a friend of the SNS user; pushing the geographical position comment information published by the friend of the SNS user and the information of the information publishing friend to an SNS client side for gathering to be displayed to the SNS user. The method and the device can be used for effectively enriching the display on the comment information of the geographical positions on the network map, and improving the credibility of the comment information, thus enabling the comment information provided from the network map to have larger reference values.

The invention discloses an urban rail transit section passenger flow speculation method based on a train operation timetable. The method comprises steps of firstly selecting enough sample size of history departure transaction data from a rail transit history database so as to carry out data cleaning; then, by considering passenger flow conditions, extracting transaction data related to a target route in a net from the cleaned data; by use of history target route data, establishing a history passenger flow unidirectional OD (origin-destination) matrix; screening real-time data of the transaction day before the prediction period; by referring a counting step of the history passenger flow unidirectional OD matrix, acquiring a real-time passenger flow unidirectional OD matrix; and by combining reaching passenger flow data of a station, constructing a fracture surface passenger flow speculation model based on a BP neural network and detecting and adjusting the model. According to the invention, the method can be used for estimating and predicting section passenger flows of all regions of a rail transit line and data support is provided for operation state evaluation and operation optimization management of a rail transit enterprise.

The invention discloses an automatic broadband detection method based on dual fast Fourier transformation (FFT). The automatic broadband detection method comprises the steps as follows: FFT point numbers approximately needed by frequency spectrums with different resolutions are set according to a broadband detection requirement; sampling data of a point Nfft1 are obtained through using an analog to digital (A / D) collection card; signals equal to Nfft1 in length are respectively subject to one time of FFT at a point number of Nfft1 and K times of FFT at a point number of Nfft2, so as to obtain the frequency spectrums with the different resolutions; the frequency spectrums with the different resolutions are respectively subject to noise floor estimation and effective energy detection, so as to obtain frequency domains, time domains and energy characteristic parameters of the signals; and the detected effective energy is combined with a signal list, and then statistical characteristic parameters of the time domains and the frequency domains of the signals are obtained. The accuracy and the reliability of the automatic broadband detection method are obviously higher than the accuracy and the reliability of a detection algorithm using a fixed resolution, so that the automatic broadband detection method can adapt to frequency spectrum or signal supervision in a relatively complex electromagnetic environment.

The invention relates to a shearing control method and a shearing control device for circle shears. The method comprises the following steps: when the head of a steel strip reaches the front parts of entrance pinch rolls, a command sender takes the entrance pinch rolls as a speed command body to send a shearing and biting speed command; when the head of the steel strip reaches a main cutting edge, the command sender takes the main cutting edge as the speed command body, maintains the shearing and biting speed, and controls the entrance pitch rolls to follow and be synchronous with the linear speed of the main cutting edge; and when the head of the steel strip reaches exit pitch rolls, the command sender takes the main cutting edge as the speed command body to send an acceleration command, controls the main cutting edge to speed up to achieve the shearing speed required in a high-speed shearing command within 0.5 to 2 seconds, and controls the exit pinch rolls to follow and be synchronous with the linear speed of the main cutting edge. The control method and the control device effectively reduce instantaneous impact loads withstood by all mechanical parts at the time of biting, prolong the service life of shearing equipment, reduce maintenance cost, reduce the failure rate of a clamping chute at a cutting edge, and improve equipment stability and utilization rate.

The invention provides an automatic electrocardiosignal classification method based on single channel. The method comprises the steps that a limb channel electrocardiosignal is received through Web socket; a wavelet median threshold method is adopted to perform electrocardiosignal denoising; a Pan-Tompkins method is used for conducting R wave detection, the electrocardiosignal is segmented based on R wave to resolve RR period characteristics, corresponding characteristics vectors are obtained by sequentially conducting empirical mode decomposition, Gaussian random projection matrix, polynomialfitting and interval extremum on obtained electrocardiogram segments; normalization is conducted on obtained characteristic features to allow the characteristic features to be conformed to standardized normal distribution, the standardized characteristic vectors are input to a trained XGboost model, and a corresponding detecting value is output. By means of the method, the problem of personal electrocardiosignal specificity is solved, the method is run at a server end, the pressure on a client is relieved, and the method has higher reference value on N and V type arrhythmias detection results.

The invention solves the problem of planning flights in the airplane dispatching problem by applying a heredity algorithm. Through unknown variables or integer coding of the number of flights for each airplane type on the airline, the invention realizes expression of the solution target in the heredity algorithm. The chromosome practicability is patched by adopting an effective patching strategy based on a punishment style so as to reduce the appearance of an illegal solution, so that a solution result conforms to the practical situation. The algorithm in the invention is verified to be correct and effective through illustrations, and the invention has the advantages of strong extendibility and practicability.

The invention discloses a wireless sensor network node localization method based on K-medoids clustering. The method firstly uses a trilateration localization algorithm to obtain a plurality of localization results, and takes the primary localization results as initial samples for clustering analysis. Then a K-medoids clustering algorithm is used to perform clustering analysis on the primary localization results. The division of the best cluster can be obtained through iteration. Through analysis of the cluster member number, beacon nodes with the large error are found and removed. Finally the localization calculation is performed on the preferable beacon nodes by using a multilateral localization method which is modified by reference values. The localization method of the invention effectively reduces node localization error, and improves the localization precision of wireless sensor network nodes.

The invention discloses a method for predicting the complete residual life of an aero-engine under variable working conditions based on working condition identification and similarity matching. According to the method, the problem that the complete residual life is difficult to predict due to degradation trend of the real performance, covered by complex working condition variation, of the aero-engine is focused to be solved. The method comprises the following steps: identifying operation conditions of the aero-engine; carrying out data standardization on historical degradation data under different working conditions; carrying out sensor selection and parameter dimensionality reduction on the standardized data; matching degeneration tracks of each reference engine and a to-be-predicted engine by virtue of a similarity matching method, so as to obtain an estimated value of the residual life of the to-be-predicted engine and the similarity distance between the reference engine and the to-be-predicted engine; and generating a weight according to the similarity distance, and weighing life estimated values, so as to obtain the residual life of the to-be-predicted engine. By verification, the method has relative high prediction accuracies for different engine test samples.

The invention discloses a device for measuring the thrust force of a propeller and magnetic transmission torque. The device comprises measuring tools and a test mechanism, wherein the measuring tools include a water groove, a flexible rope, a weight, a pendant and a dynamometer having a data recording function; the test mechanism comprises a sliding guide rail; a slide block A and a slide block B are arranged on the sliding guide rail; the slide block A is connected with the slide block B through a screw rod; a direct current motor is fixed on the slide block A; a bearing base is fixed on the slide block B; a thrust force measuring revolving shaft and a torque measuring revolving shaft are supported on the bearing base; the thrust force measuring revolving shaft and the torque measuring revolving shaft are arranged coaxially opposite to each other; a rolling bearing is arranged on the middle part of torque measuring revolving shaft. The device can be used for measuring the forward thrust force of the propeller under a laboratory condition, and can be used for measuring the magnetic torque of magnetic transmission and the oscillation curve of the magnetic transmission torque. The device has a very high reference value in the design of the propeller.

The invention discloses a road congestion early warning and congestion forming time prediction method. The road congestion early warning and congestion forming time prediction method comprises steps that step1, road flow and speed historical data in D days is acquired, and Gaussian filtering processing is carried out; step2, a flow increasing slope reference value k of a road segment about to be congested, a congestion forming time reference value t, and a ratio p of a flow continuously exceeding the reference value are calculated; step3, a flow early warning threshold value is calculated in a real-time manner, and according to a road segment historical flow increasing slope k and i-1 moment real-time flow increasing slope Ki-1, a real-time flow early warning threshold value Tli is calculated, and when a current flow exceeds the Tli, flow alarms are given, and real-time congestion forming time is calculated; step 4, according to the road segment historical flow increasing slope k and the current real-time flow increasing slope Ki, the ratio p of the road segment historical flow continuously exceeding the reference value, and the ratio Pi of the real-time flow continuously exceeding the Tli, and a road segment historical congestion forming time reference value, real-time congestion forming time T is calculated. The traffic congestion forming time is predicted effectively, and the road congestion early warning is realized effectively.

The invention relates to a method for estimating the frequency deviation in the carrier synchronization of a wireless communication system, which comprises the following steps: when the frequency deviation is small, estimating and compensating the frequency deviation by using directly decoding information; and when the frequency deviation is large, combining the method with a conventional method,estimating and compensating the initial frequency deviation by the conventional method first, and then further estimating and compensating the residual frequency deviation by using the decoding information. If iterative decoding is performed, the joint iterative frequency deviation estimation and decoding can be performed, and with the increase of iterations, the decoding output information is more and more accurate, and the frequency deviation estimation is also more and more accurate. The method overcomes the defect that the frequency deviation accuracy of a conventional frequency deviationestimation method is limited, effectively inhibits the fluctuation of the residual frequency deviation caused by the conventional frequency deviation estimation method, reduces the influences on the system performance by the residual frequency deviation, improves the error code performance of the system, reduces the demodulation threshold, and improves the utilization ratio of the system power while the system band is not occupied.

The invention relates to a risk evaluation method for power distribution network under typhoon disaster scene. The risk evaluation method for power distribution network in typhoon disaster scene is characterized by comprising the steps of: step S1: establishing a typhoon wind speed model, used for calculating the wind speed of each point in the typhoon wind field; step S2: establishing an electricpole load calculation model, used for calculating the electric pole load and bending moment of any cross section; step S3: establishing a corrected electric pole failure rate model to obtain a corrected electric pole failure rate; step S4: calculating a risk index of the power distribution network under typhoon disaster, based on the typhoon wind speed model, the electric pole load calculation model, and the electric pole failure rate calculation and correction model. According to the risk evaluation method for power distribution network under typhoon disaster scene, the interaction mechanismof the typhoon disaster and the electric pole of the power distribution network and the influence of the mechanism on the operation risk of the power distribution network can be characterized in detail, and the risk on the typhoon disaster distribution network is early warned and assessed.

The invention relates to an intelligent customizing method and an intelligent customizing system. A vehicle route record set is formed by initiatively recording vehicle-driving routes; M vehicle-driving routes with highest occurrence frequency are selected according to the occurrence frequency of the routes; finally, real-time traffic road condition information of the vehicle-driving routes are obtained in real time and provided for vehicle owners according to selected M vehicle-driving routes. Therefore, the vehicle owners can clearly know road conditions of road sections to be passed by before departure, can reasonably arrange departure time, if the vehicle owners receive the real-time traffic road condition information showing jam, the departure time can be delayed, a phenomenon that the vehicle owners are stuck in traffic jam is avoided, or the vehicle owners can select good vehicle-driving routes with good traffic conditions to go and accordingly saves travel time. In addition, the vehicle owners do not drive blindly, and the traffic pressure is eased.

The present invention provides a code element naming method and a terminal device, which are applicable to the technical field of software development. The method comprises: extracting a name and an annotation of each first code element from a preset code library, wherein the preset code library includes multiple segments of codes; acquiring element usageinformation input by a user; calculating a degree of similarity between each annotation and the element usage information separately, acquiring an annotation with the degree of similarity between the annotation and the element usage information greater than a preset threshold, and determining the first code element corresponding to the annotation; and recommending a name of the determined first code element to the user, so as for the user to select a name related to a second code element from recommended names. The method provided by the present invention allows the user to acquire a recommended name with a higher reference value, ensures that the user can rapidly determine a name that best meets his or her own requirement from the recommended names, and improves naming efficiency of code elements.

The embodiment of the invention provides a step-counting data processing method and a step counter. The method comprises the following steps: obtaining satellite positioning movement distance in a preselected time period when movement steps in the preselected time period meet a preset condition, determining a first step amplitude according to the movement steps and the satellite positioning movement distance in the preselected time period, calculating parameters according to the movement steps and step amplitude in the preselected time period to obtain a second step amplitude, determining an optimized step amplitude according to the first step amplitude and the second step amplitude, and determining a current calculated step amplitude according to the first step amplitude, the second step amplitude and the optimized step amplitude. According to the technical scheme, the current calculated step amplitude obtained by the step counter is accurate; the movement distance accuracy of wearers is improved; the reference value of the movement distance for users is improved.