239 results about "True Case Status" patented technology

The invention provides a fissure-cave type carbonate-reservoir reservoir body modeling method, and belongs to the field of carbonate reservoir exploitation geology. The method comprises the steps of (1) distinguishing karst cave reservoir body development segment in a single well; (2) building karst zone models along the vertical direction, building ancient landform unit distribution models in a plane; (3) respectively imitating three-dimensional distribution of the karst cave reservoir body in different karst zones and different ancient landform units, obtaining a three-dimensional distribution model of the karst cave reservoir body of a modeling target stratum; (4) counting development occurrence of a fissure reservoir body and single-well fissure development density; and (5) under control of a fault, building a three-dimensional discrete distribution model of the fissure reservoir body. According to the fissure-cave type carbonate-reservoir reservoir body modeling method, accuracy of the class of reservoir modeling is improved, a true condition of the reservoir is approached in a more objective mode, and important practical significance is provided for exploitation of the reservoir.

The invention relates to the technical field of a vehicle navigation registering device. Specifically speaking, the invention is a vehicle system with the functions of navigation, audio /video registering and anti-theft; wherein, a MCU processor is respectively connected with an audio cell, a sensor cell, a LCD cell, a global positioning system, a communication module, a customer data interface, a key-press, an extended data memory cell, a data memory cell, a sensor interface of a sensor for vehicle and a communication interface of a video processing cell of a camera to realize data transmission and control, to make the system provide a navigation function and register the video and audio information and the sensor information inside the vehicle in a running process, to make the system ina security guard state by detecting the vibration in the sensor of the vehicle and the information of a acceleration transducer and to remind customers through a short message mode. Compared with theprior art, the invention combines the global positioning system with the audio and video processing technologies to resister the real situation of accidents intuitively as well as detect the sensor information, send alarm to cellphones to prevent vehicles from stealing.

The invention presents a method of removing irrespective images based on a plurality of photographs, which utilizes complementary information in a plurality of photographs shot by users to remove irrespective images in the photographs, and can restore the real situation of the background shaded by tourists so as to keep the authenticity of the content of the photograph background. The users only need to specify a window containing irrespective images in a photograph, the invention can automatically search alternative windows matched with the window in a plurality of photographs with computer vision technique, and automatically carries out geometric transformation for the alternative windows so as to causes them to be exactly matched with the background around the irrespective image in the original photograph. The users only need to choose an alternative window containing only the background, which is removing the irrespective images from the photograph and completely restoring the real situation of the background shaded by tourists at the same time. The invention can also be used to remove other irrespective moving objects in the photograph, such as automobiles, etc.

The invention discloses a dynamic optimization method for structural parameters of mechanical equipment parts based on digital twin. The method comprises the following steps: realizing digital mirrorimages of equipment corresponding to physical space in virtual space by constructing a high-fidelity model, which is convenient for later structural parameters modification and super realistic simulation; dynamically and synchronously reflecting the state of an entity corresponding to the physical space in real time in the virtual space by performing super realistic simulation, and realizing realistic motion of the real condition of the physical equipment in the virtual space; and meanwhile, constructing a neural network structure by utilizing a deep learning theory, establishing a relation between the structural parameters and the fatigue life with the help of strong digital mining and mapping capabilities of the neural network structure, and realizing the dynamic optimization of the structural parameters by combining the high-fidelity model and the super realistic simulation environment. According to the invention, dynamic optimization and reverse guidance of the virtual space to thestructural parameters of the physical space are realized, and optimization efficiency and authenticity are improved.

The invention relates to the technical field of social media data analysis and mining and provides a specific-tendency high-influence user group discovering method orienting microblog. The method includes: S1, capturing data on a microblog website; S2, analyzing the obtained data, and finding a different theme corresponding to each microblog; S3, building a new microblog network topology structure; S4, analyzing special tendency and an active degree of users, and calculating spreading probability among the users; and S5, finding a user group having the largest influence and orienting a specific theme. The method considers the topology structure of the microblog and the content and themes of the microblog comprehensively and can reflect the real condition.

The invention discloses a lightning effect test device for a dynamic airplane. A computer in the device is arranged outside a microwave dark room; a round turntable A, a round turntable B, an airplane scale model, a lightning generator, a spectrum recorder, a support platform and a camera are arranged in the microwave dark room; the camera is mounted on the support platform; the airplane scale model is mounted on the round turntable A; the spectrum recorder is mounted on or in the airplane scale model; and the lightning generator is mounted on the round turntable B. When the round turntable A and the round turntable B rotate relatively, various types of lightning analogue currents and electromagnetic waves generated by the lightning generator act on the airplane scale model; and when the lightning happens, the spectrum recorder records the lightning indirect effect, and the camera records the lightning direct effect. According to the invention, the process that the airplane in dynamic flying mode encounters lightning can be simulated in the limited space of the microwave dark room so that the tested data approaches to the real conditions better and the error is reduced.

The invention is suitable for the technical field of medical system informationization and provides a quality control method for an electronic medical record. The method comprises the steps of obtaining electronic medical record data, wherein the electronic medical record data is structured electronic medical record data; judging whether the electronic medical record data meets a quality control condition or not; according to a judgment result and a quality control rule corresponding to the quality control condition, obtaining a quality score of the electronic medical record; and storing the quality score of the electronic medical record. According to an embodiment of the invention, the step of scoring the structured electronic medical record data is added, so that a doctor can visually know a true condition of the medical record through the quality score, the quality control doctor can finish the quality control of the medical record through the configured quality control condition, and a handling process of the quality control doctor is greatly simplified; and meanwhile, in the whole quality control process, the doctor can configure the required quality control condition, so that the quality score can more truly reflect the quality condition of the electronic medical record.

The invention discloses an efficient imbalanced data set classification method, which includes the steps of adding boundary samples and isolated points into consideration based on a traditional SMOTE method, so as to acquire an approximately balanced data set; and then making designs on the type of data based on a sub space selection and tree model scheme of ensemble random forests, to clearly classify two types of data. In this way, the accuracy and recall ratio are improved, the result is close to the actual situation, and the invention can be applied to the actual industry analysis.

The invention provides a click rate prediction method and device, and relates to the technical field of networks. The method comprises: acquiring historical playing behavior data and candidate video data of candidate users; According to the historical playing behavior data and the candidate video data of the candidate user, extracting input data of each module of a preset multi-mode model, and according to the input data, performing training through each module of the preset multi-mode model to obtain a video click rate pre-estimation model; And obtaining to-be-recommended user data and to-be-recommended video data, and obtaining a click rate prediction value of clicking the to-be-recommended video by the to-be-recommended user through the video click rate prediction model. Wherein the input data comprises the interest information of the candidate user, the feedback information of the candidate video and the interaction information of the candidate video and the candidate user; and thevideo click rate prediction model is obtained through training of the multi-mode model, so that the video click rate prediction value is closer to the real condition of clicking the video by the user, and the accuracy of predicting the to-be-recommended video click rate is improved.

The invention provides an underground emergency evacuation virtual crowd simulation method based on multiple intelligent agents. A virtual mine emergency evacuation crowd simulation frame is built by using the underground emergency evacuation virtual crowd simulation method based on the multiple intelligent agents. The virtual mine emergency evacuation crowd simulation frame is mainly composed of five portions of a crowd simulation engine, a geometric scene simulation engine, a scene database, an event recorder and a human-computer interaction interface. In consideration of different understandings on mine knowledge and different behavior decisions of miners playing different roles when mine disasters occur, a multiple intelligent agent miner crowd emergency evacuation module and a crowd emergency evacuation algorithm for the different roles of the miners such as job foremen, expert miners, common miners and rescuers are built by using the underground emergency evacuation virtual crowd simulation method based on the multiple intelligent agents according to a role theory. The underground emergency evacuation virtual crowd simulation method based on the multiple intelligent agents can simulate true situations of a mine well, has good universality and verisimilitude, and can provide effective technical support for underground security accident analysis and prevention, mine safety training and rescue exercises.

The invention discloses an improved method for calculating three-dimensional neutron flux density fine distribution of a reactor core. The method comprises the following steps that 1, modeling is conducted on the reactor core, needed parameters are calculated, and variables are initialized; 2, a radial leakage item is unfolded in the axial direction through a Legendre polynomial expansion, a one-dimensional discrete ordinate difference equation is calculated according to information obtained in the step 1, and an axial leakage item is acquired; 3, two-dimensional spatial distribution of the axial leakage item is obtained through calculation, two-dimensional transportation calculation is conducted according to the information obtained in the step 1, and neutron flux density distribution, a cell-homogenized cross section and the radial leakage item are acquired; 4, whether a characteristic value and the three-dimensional neutron flux density are convergent or not is judged, if not, iteration is continuously conducted from the step to the step 2 till the problems are convergent, and then three-dimensional neutron flux density fine distribution is obtained. According to the method, Legendre polynomial expansion unfolding is conducted on the radial leakage item in the axial direction, the calculation precision is improved, and two-dimensional spatial distribution of the axial leakage item is calculated, so that calculation is closer to true conditions.

The invention discloses a fluid-solid interaction simulation method based on video reconstruction and an SPH model. The fluid-solid interaction simulation method includes steps: 1), adopting a bright-dark recovery shape method to quickly reconstruct fluid surface geometric information in video, and acquiring a surface height field of each frame of input image; 2), combining the height fields with a shallow water equation, and calculating to acquire a speed field on the surface of fluid in a form of a minimizing energy equation; 3), using the surface geometric information as a boundary constraint condition to be discretized into a whole three-dimension body to acquire volume data; 4), guiding the volume data reconstructed in the video into an SPH simulation scene to serve as an initial condition of the simulation scene, and interacting with other virtual environment objects in the scene. By the fluid-solid interaction simulation method, high-accuracy data reconstruction can be realized, fluid surface details can be retained, bidirectional interaction simulation is performed on the basis of reconstructed data and a physical simulation model, fluid animation effect closer to real condition is acquired, algorithm complexity is low, and the method has high creativity compared with related algorithms.

The invention discloses an overload protection method and device for a server, and belongs to the technical field of internet. The method comprises the steps as follows: a to-be-processed request is received, and current system load information of the server is acquired; the current system load information of the server is compared with a preset system load threshold, and whether the server is overloaded is determined according to a comparison result; and if the server is overloaded, the processing for the to-be-processed request is rejected. The device comprises a first receiving module, a first acquisition module, a first determination module and a processing module. The system load information of the server has determinacy and can reflect whether the server is overloaded truly, so that the acquired current system load information of the server is compared with the preset system load threshold, and the processing for the to-be-processed request is rejected when the overload of the server is determined according to the comparison result, accordingly, whether the server is overloaded can be accurately judged, and better overload protection can be performed on the server.

The invention discloses a complete UAV (unmanned aerial vehicle) relay model which comprises two types of links, wherein one type of the links is a ground-air link from a ground station to a UAV, and a channel under the link is regarded as a Rician channel; and the other type of the links is an air-air link from a UAV to a UAV, and a channel under the link is regarded as a Rayleigh channel. Although the analysis is complicated, the relay model and a channel model can well conform to actual situations. Based on the channel model, the invention also provides a method for solving the interruption probability, and the method cannot be influenced by the channel model and is suitable for any channel model with a precondition that a channel matrix of the channel model must be known. By virtue of MATLAB (matrix laboratory) simulation, a curve of characteristic values of a channel matrix H can be obtained, then by virtue of curve fitting, a mathematical expression of the characteristic values can be obtained, and then a cumulative distribution function of the characteristic values is obtained, which is much simpler. By use of the method provided by the invention, the overall interruption probability of the two sections of the links is obtained, and the interruption probability under an actual situation is well reflected.

The invention discloses an inference method of a stepwise regression gene regulatory network. The method comprises the following steps of: A, reading a gene expression data matrix and a gene perturbation data matrix; B, confirming whether the gene expression data matrix and the gene perturbation data matrix are standardized data or not; C, respectively carrying out data normalization on the gene expression data matrix and the gene perturbation data matrix to form the standardized data; D, analyzing the standardized data and calculating all inter-gene correlation coefficient matrixes; and E, visualizing the inter-gene correlation coefficient matrixes into a network to obtain a gene regulatory network chart. The method can select optimal regression subsets to solve the problem of high-dimension small-sample experimental data, gradually select the most influential regulator for a target gene, accord with the true condition of the gene regulatory network, and be superior to similar methods in calculation precision and calculation efficiency along with the enlargement of the gene regulatory network scale and the network sparsity.

The invention discloses an evaluation method for evaluating the branch importance of a power system. The comprehensive importance index of a to-be-evaluated branch is obtained, and then the branch importance of the power system is evaluated. Tl* represents an active power transmission betweenness of the to-be-evaluated branch after being normalized. img file = 'DDA 0001143047330000012. TIF 'wi = '51 'he = '57' represents the impact resistance index of the to-be-evaluated branch after being normalized. Sigma represents the weight coefficient of the active power transmission betweenness. Mu represents the weight coefficient of the impact resistance index. According to the technical scheme of the invention, the complicated network theory and the entropy theory are organically combined, and the branch importance is comprehensively evaluated in the two aspects of the active transmission betweenness and the impact resistance index. A configured branch comprehensive importance index gives consideration to both the branch structure and the state importance. In this way, not only the contribution degree and the carrying capacity of an important branch during the power transfer process can be reflected, but also the influence of the on-off impact of the branch on the system is also considered. Therefore, the method is more accurate and more reasonable. The consideration range is more comprehensive and the evaluation result is more close to the real situation of the power grid.

A process for modeling and graphically simulating a real environment in order to train a user to obtain a desired performance. This process enables the user to input model parameters from real events to simulate the real event, to interact with the system, and to track the results. The process uses factors, one of which is the user, to simulate real scenarios. Each factor is defined by parameters and data from the real event. All factors are input prior to the simulation; the user's event data is input automatically as the user reacts to the other factors' actions during the simulation. The system tracks the user's performance and compares it to what happened in the real event. This system has particular application to training the user to respond properly in real situations, such as sporting events, medical emergencies, military missions, and casino gaming.

The invention relates to a method for assessing the irregularity degree at RR intervals of an electrocardiogram waveform. The method comprises the following steps that a first electrocardiogram waveform is obtained; the RR interval sequence in the first electrocardiogram waveform is obtained; resampling is carried out on the RR interval sequence of the first electrocardiogram waveform, a set number of RR interval differences are obtained, and normalization processing is carried out on the obtained interval differences; the probability distribution density is obtained according to the normalized interval differences, and the irregularity degree at the RR intervals of the electrocardiogram waveform is obtained according to the obtained probability distribution density. The invention further relates to a device for achieving the method. The method and device for assessing the irregularity degree at the RR intervals of the electrocardiogram waveform have the advantages that the obtained irregularity degree at the RR intervals can be accurate and is closer to the real circumstances.

A smart care system utilizes an information collecting unit to obtain information of a care receiver from a monitoring area so as to produce a monitoring signal. The monitoring signal is transmitted to an outputting device for displaying the information collected by the information collecting unit to a care giver. The smart care system includes an identifying unit, which is set to have an identifying area corresponding to the information collecting unit for obtaining the monitoring signal so as to detect the variation thereof in the identifying area, thereby accordingly outputting a warning signal to drive the outputting device to output warning information, such that the care giver can notice the variation of the monitoring signal for coping therewith. Therefore, the problem that the care giver can not accurately and immediately realize the real situation and information of the care receiver can be solved.

The invention provides a simulating training system for work team safety. The system comprises a receiver used for receiving a control instruction sent by a user, and a simulating platform device, wherein the control instruction contains retrieval parameters of simulating training data to be displayed, the simulating platform device is used for looking for matched simulating training data from a content database according to the retrieval parameters contained in the control instruction, conducting three-dimensional displaying and processing on the simulating training data to obtain a simulating training video, and displaying the simulating training video, and multiple simulating training data are pre-stored in the content database. In this way, work team members can learn more knowledge while watching the video, the system is more visual, and the learning interest of work team members is improved; meanwhile, the demonstration of the three-dimensional video enables work team members to experience actual work conditions in various scenes, work team members can learn practical operating essentials to a certain degree, training period in physical model practical operation training is shortened, and occupied area and cost are reduced.

The invention relates to a vehicle trajectory prediction model establishment and prediction method. The vehicle trajectory prediction model establishment method comprises the following steps: acquiring historical driving trajectory data of a vehicle, and constructing single vehicle trajectory data and road network vehicle trajectory data of the vehicle; carrying out screening to obtain screened single vehicle trajectory data and screened road network vehicle trajectory data; carrying out bayonet completion to obtain effective single vehicle trajectory data and effective road network vehicle trajectory data; establishing a prediction model of the effective single vehicle trajectory data; establishing a prediction model of the effective road network vehicle trajectory data; according to theprediction model of the effective single vehicle trajectory data and the prediction model of the effective road network vehicle trajectory data, constructing a fusion training set; and according to the fusion training set, training a set prediction model and generating a vehicle trajectory prediction model. According to the method in the invention, the data is effectively processed, the calculation amount is reduced, and the prediction is enabled to be more accurate and closer to the actual condition.

The invention discloses a traffic signal timing method and belongs to the technical field of traffic signal control. The traffic signal timing method comprises S1, time interval division and phase selection of multi-stage signal timing; S2, calculation of signal cycle duration; S3, optimization of green time through linear programming; S4, adjustment and solving of green time of each phase; and S5, reality simulation by using the matrix laboratory (MATLAB). The traffic signal timing method has the advantages that modeling is performed on a single intersection through linear programming, so that the intersection reaches the maximum traffic flow, the traffic control technology is good in flexibly and adapted to the rapid change of the traffic flow, the cost is low, and roads are fully utilized finally.

The invention discloses a recommendation probability fusion based hybrid recommendation method. The method includes the following steps: (1) using a two-dimensional table for representing scoring data of commodities; (2) taking any items in a scored set as unknowns, utilizing a basic recommendation method to obtain a prediction result of each corresponding item, training sets of scores of the scored items and the forecast results of the corresponding items by the aid of a neural network so as to obtain an SFM (score forecast model); (3) utilizing the basic recommendation method to obtain non-scored item forecast results, and utilizing the SFM to obtain a final forecast value of each non-scored item of a set of the non-scored item forecast results; (4) sorting all the non-scored items of a user according to size of each forecast value in a final forecast value set in a descending manner to obtain a non-scored item sorted set, and selecting top N items of the non-scored item sorted set as recommendation results to be recommended to the user. By the method, true situation of user evaluation can be effectively reflected, and precision in personalized recommendation is improved.

The invention discloses a lead selection method for emotional electroencephalogram based on independent component analysis. A multi-lead emotional electroencephalogram is utilized for conducting filtering processing, ICA analysis is conducted on data after filtering, spatial filter sets corresponding to different emotional task backgrounds are constructed, and linear projection is conducted; spatial feature parameters of a full-lead emotional signal are acquired, and then the lead selection method is utilized for selecting the optimum lead set of a subject. According to the method, higher recognition accuracy rate is acquired, it is achieved that different subjects can automatically select emotion-related independent components, and compared with a mode of extracting the independent component of a full-passage, the independent component of the optimum lead position not only can reduce the time complexity of an algorithm but also can accurately describe the real conditions of an emotion-related independent source and effectively inhibit the components which are not related with emotional signals and the interference caused by external noises.

The invention provides an aircraft pose measurement method based on circular features and a P3P algorithm. The method comprises the following steps: S1, photographing an image of an aircraft through amonocular camera and determining coordinates of target centers of four circular targets on the aircraft in a world coordinate system; S2, performing smooth filtering on the image and performing processing to obtain a binary image; s3, screening out contours of the targets; S4, calculating coordinates of the target centers in a pixel coordinate system; S5, randomly selecting three targets and calculating a pose parameter solution set by using a P3P algorithm; S6, constructing a minimized reprojection error function and verifying the pose parameter solution set by using the coordinate information of the fourth targets to obtain a unique solution closest to the real situation; and S7, calculating attitude parameters of the aircraft and position parameters of the aircraft relative to the camera. The method has the following beneficial effects: with an active circular target with an LED lamp,feature recognition and extraction are easy to realized; and on the basis of the P3P algorithm, theunique solution is determined by introducing information of the fourth feature point, so that the algorithm running speed is fast and the accuracy is high.

The invention discloses an electromagnetic environment quality evaluation method based on civil aviation stations in a comprehensive application scene. The method comprises the following steps of acquiring electromagnetic environment characteristic parameter data of each civil aviation station in an actual application scene in real time; automatically performing data correlation analysis with an electromagnetic environment reference database of each civil aviation station in a new application scene; and obtaining a quality evaluation analysis report of an electromagnetic environment of each civil aviation station in the application scene. The electromagnetic environment reference database of each civil aviation station in the application scene is established, the characteristic parameter data of each civil aviation station is simulated or actually obtained, and the real condition of the electromagnetic environment quality in a use process of each civil aviation station is obtained; andthe characteristic parameter data is compared with data of the reference database in real time, an early warning can be given actively and effectively when the quality of the electromagnetic environment where each civil aviation station is located becomes poor, specific data which causes the quality of the electromagnetic environment where each civil aviation station is located to be poor is obtained, and the quality evaluation analysis report of the electromagnetic environment where each civil aviation station is located is given, so that the safety of civil flying is guaranteed.

The invention discloses an improved topographic radiation correction method. In a mountain remote sensing image, multiple times of reflection between the ground surface and the atmosphere are neglected, solar radiation received by the ground surface is summarized into a sum of direct solar radiation received by the ground surface, sky scattered radiation and near topographic reflection radiation, and the proposed model expression contains a topographic masking coefficient, and topographic radiation in topographic masking regions such as a mountain umbra and a falling shadow is considered; as influences of sky (diffused) scattered radiation and environment (topography) radiation are considered, radiation brightness information of the topographic masking regions can be well expressed, and radiation brightness values of a shady slope and a sunny slop are closer to real conditions. In addition, a k value obtained through linear fitting is more real and effective; and due to influences of research region topographic conditions and vegetation distribution characteristics, through introducing an average ground surface reflectance value around a target pixel to serve as an adjusting factor eliminating surrounding topographic each diffused effects, topographic masking region pixel radiation brightness value correction effects are improved.