920results 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 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 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 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 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 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 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 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.