37 results about "Point event" patented technology

An associated event group preparation unit calculates a degree of association between the events on the basis of an event matrix, and prepares an associated event group for each event. A cause-and-effect relationship model establishment unit establishes a probabilistic cause-and-effect relationship model by a Bayesian network on the basis of the event matrix, for each associated event group. An improvement candidate pattern receiving unit receives a setting of an improvement candidate pattern in which a condition of an event to be set as an improvement candidate is determined by attributes of the base point event and the associated event and a conditional probability between the base point event and the associated event. A pattern analysis unit extracts a probabilistic cause-and-effect relationship model conforming to any one of the set improvement candidate patterns, from the established probabilistic cause-and-effect relationship models for each event.

The invention relates to a method and device for predicting disease end point events, an electronic device and a computer readable medium. The method includes steps that the information at a disease occurrence and diagnosis and treatment stage is collected as the T0 sequence point feature; the information of each review is collected as the Ti sequence point feature of the corresponding review; a deep learning neural network model is utilized to predict a disease end point event in a future time window, in a DNN model of the deep learning neural network model, corresponding to each sequence point, one of the T0 sequence point feature to the Ti sequence point feature is respectively received, and a multidimensional vector is outputted; the multi-dimensional vector outputted by the DNN modelof each sequence point is received by a sequence neural network model of the deep learning neural network model; input from the sequence neural network model is received by an output layer of the deeplearning neural network model, and the output result is generated. The method is advantaged in that prediction accuracy can be improved.

The invention provides a processing method and apparatus, a terminal, a server and a readable storage medium. The processing method comprises the steps of generating burying point event data accordingto a burying point signal when it is detected that the burying point signal is generated according to any burying point event in a specified time period; converting the burying point event data intoanalyzable burying point data; writing the analyzable burying point data in a preset burying point file to generate an analyzable burying point file; detecting whether the elapsed time of the specified time period is greater than or equal to a preset time interval or not; and when it is detected that the elapsed time is greater than or equal to the preset time interval, sending the analyzable burying point file to the server. Through the technical scheme, the interactive frequency between the terminal and the server can be reduced, so that the data transmission accuracy is improved, and the data loss probability is reduced; and the concurrent pressure of the server side can be reduced, so that the running performance of the server is improved.

The invention discloses a travel route planning method and system based on Internet map and calendar. The travel route planning method based on Internet map and calendar includes the steps: acquiringthe calendar and coordinate points; creating point events and line events; and generating the travel route time and the travel route map. The travel route planning method and system based on Internetmap and calendar have the advantages of through coordination of the calendar and the coordinate points, realizing setting of the beginning and ending time and the travel route information; through generation of the point events and the line events, realizing dynamic route planning of multiple destinations (stopover sites) so as to enable the staff to fully utilize the route time and make arrangement in a more detailed manner; and through the travel route map and the travel route time, simply realizing the travel route arranging and providing accurate route mileage, traveling time, traffic roadconditions and other information so as to enable the staff to conveniently make coordination and planning of the route and the time. The travel route planning system includes a user unit, a calculation analysis unit, and a route planning unit, and can realize the same advantages of the travel route planning method.

The invention relates to a common reflection point gather optimized processing method and system. The common reflection point gather optimized processing method comprises the steps of firstly carrying out estimation on stratum inclination by adopting a discrete scanning method, and to enable inclination estimation to be more accurate, fitting seismic data by adopting a conventional quadratic polynomial so as to estimate the stratum inclination; then applying median filtering in the direction where a central sampling point event is located in a sliding time window, wherein a filtering result acts as output of a final central sampling point, namely, structural median filtering, and the signal-to-noise ratio of the gather is improved after processing; and finally, establishing a model trace on a stack section of the common reflection point gather, and carrying out residual moveout correction on the denoised common reflection point gather. The direction stratum inclination has higher information correlation, so that the method provided by the invention can effectively solve defects existing in a traditional method and enables the residual moveout to be corrected while improving the overall signal-to-noise ratio of the gather, the gather is flattened, the overall quality of the gather is improved, and effective signals and edge and detail features of strata such as faults and cracks can be well kept.

The invention relates to a three-dimensional roaming and knowledge point learning and showing method of an interactive intelligent transformer substation, which comprises steps that: (1) an intelligent transformer substation three-dimensional roaming module, a knowledge point animation course-ware managing module, a man-machine interactive processing module are loaded and started in memory by a showing system; (2) the knowledge point is materialized as a three-dimensional visual object by the three-dimensional roaming module and is output to a large-screen display device; (3) the man-machine interactive processing module selects a knowledge point event and processes three-dimensional object pickup judgment through a man-machine interactive operation handle; and (4) the knowledge point animation course-ware managing module finds knowledge point showing course-wares and displays the knowledge point showing course-wares in a three-dimensional field. The method disclosed by the invention is characterized by reasonable design; the man-machine interactive operation handle is creatively made as a tool for the three-dimensional roaming and interaction of the intelligent transformer substation; usability of a participant and interestingness of a roaming procedure are enhanced; and propaganda and showing for intelligent transformer substation knowledge and technology are completed skillfully.

A method of collecting message advertisement points comprises the following steps: receiving the message with the advertisement sent by a message server; identifying the advertisement in the message and recording the advertisement point events in the advertisement in real-time; back-feeding the advertisement points to the advertisement server in real-time. Further, the invention provides a system and apparatus for collecting message advertisement points. The embodiment of the invention reports the advertisement points to the advertisement server in real-time, reduces the advertisement point statistical error caused by time difference. Further, the invention avoids the condition of not collecting the advertisement points caused by power off of the terminal user and collects the advertisement points in real-time and avoids the condition of not collecting the data in real-time when the user leaves the advertisement issuing place. The invention further avoids the condition of wasting the system source when the advertisement server executes polling points collection to all the terminals in the domain.

The invention provides an underground pipe gallery spatial environment data collection method and system with a failure judgment function. The method comprises the steps of building a sensor failure judgment database; building an underground pipe gallery monitoring point event record database; receiving the environment data of each monitoring point fed back by a sensor module, calling event records of the corresponding monitoring point, and generating a second working range by combining with a normal variation amplitude of the sensor corresponding to the event and a first working range of the sensor; building a normal working database and an abnormal working database; providing a judgment module used for comparing a relation between a feedback result of the sensor and the second working range, and sending a collection result to the normal working database or the abnormal working database according to a judgment result. According to the method provided by the invention, influence factors of external environment and/or the external time to pipe gallery spatial environment data are introduced, and whether the collection result is within the normal working range is judged by comparison so as to judge whether the collection result is accurate, and whether the sensor is in a normal working state.

The invention relates to a large-range multi-target cannonball blasting point sound source locating method. A central station and multiple substations are included, the central station is electrically connected with the substations for data communication, and each substation is provided with a microphone sound source sensor; and the central station is provided with a computer for starting sound wave collection of all the substations. When a blasting point event occurs, the microphone sound source sensor which is close to a cannonball falling region is automatically selected through a program, and then a blasting point sound wave locating method is invoked for giving a computation result. The large-range multi-target cannonball blasting point sound source locating method has the advantages that according to the blasting point locating method, blasting point signals which are collected by the multiple sound sensors distributed on the falling point boundary are selected, and the large-range cannonball blasting point locating requirement is met. The blasting point locating method is not only suitable for locating a blasting cannonball, but also suitable for locating a non-blasting cannonball. The blasting point locating method is not only suitable for locating a single cannonball, but also suitable for locating rapid-fire cannonballs; and in addition, calculation is rapid to achieve, the automation degree is high, and a very satisfactory effect is obtained in actual shooting range experiments.

The invention relates to the technical field of network information, in particular to a visual buried point setting method, a system, a device and a storage medium thereof. The method comprises the steps of triggering a target view of a buried point to be implanted in a page; positioning the position of the triggered target view in the page, and obtaining a code associated with the content of thetarget view after positioning; displaying an image corresponding to the code content according to the obtained code content; after the image is displayed, implanting a code of a buried point control into a code of the target view to obtain a buried point event code, and reporting the buried point event code. According to the method, the view of the to-be-implanted buried point is obtained in a triggering mode, and then the view is displayed. Therefore, the service personnel can visually obtain the content of the view. The buried point can be accurately imported. The subsequent debugging process is effectively reduced. The work is relatively simple, and the working efficiency is relatively high.

The invention discloses an event mining method and an event mining device for an interest point. The method comprises the steps that a plurality of pieces of information are acquired, the informationis screened according to a preset event verb set, and the preset event verb set comprises a plurality of event verbs. Interest point event sentences are extracted from the screened information, and interest points and events corresponding to the interest points are extracted from the interest point event sentences. Therefore, the interest points and the events corresponding to the interest pointsare captured from the information, the efficiency and accuracy of event mining are improved, and the technical problems that in the prior art, the accuracy of event mining is low, and events cannot bemined in mass information are solved.

The invention discloses a computer mouse scoring system, and belongs to the field of communication. The system comprises a first trigger signal collection subsystem arranged at the starting point of a labyrinth where a computer mouse moves, a second trigger signal collection subsystem arranged at the terminal point of the labyrinth and a scoring subsystem which is in wireless connection with the first trigger signal collection subsystem and the second trigger signal collection subsystem. The first trigger signal collection subsystem comprises a first laser head and a first ultrasonic range finder which are oppositely arranged at the starting point. The second trigger signal collection subsystem comprises a second laser head and a second ultrasonic range finder which are oppositely arranged at the terminal point. According to the embodiment, a starting point event and a terminal point event are triggered by means of the ultrasonic ranging principle, the ranging accuracy is high, and therefore the collected data accuracy is high; accordingly, the processing result accuracy of the computer mouse scoring system is improved. Meanwhile, the ultrasonic ranging principle is used for achieving trigger signal collection, the response speed is high, and the response speed of the scoring system is increased.

The invention discloses a spatial point event grouping mode excavating method based on the Delaunay triangulation network. The Delaunay triangulation network is established according to spatial coordinates of spatial point events, and the Delaunay proximity relation is used for restraining the spatial adjacency relation for establishing the spatial point events. According to the strategy from integrity to local, three different Delaunay triangulation network side length constraint statistical magnitudes are adopted to extract grouping modes of the spatial point events from the Delaunay triangulation network. A space cluster is formed by all the spatial point events connected through the Delaunay triangulation network. The spatial point event grouping mode excavating method has the advantages that not much user input parameters such as the number of spatial grouping modes is needed in the spatial grouping mode finding process, the spatial point event grouping modes with different shapes and densities can be found out, the found spatial grouping modes can be visualized, and the grouping result can be output.

The embodiment of the invention provides a point burying method and device, a medium and computing equipment. The method comprises the following steps: determining a plurality of burying point eventsof a project; determining a burying point injection position corresponding to each burying point event in the plurality of burying point events in a script file of the project engineering; and injecting the buried point function into the script file according to the buried point injection position. According to the embodiment of the invention, the cost of a point burying scheme can be reduced, thepoint burying efficiency is improved, and the readability and inheritance of project engineering source codes are improved.

The invention discloses a process mining method based on a mixed event log, which takes a mixed event log including a point event and an interval event as an input, and takes a mining correct processmodel as an output. First, mining low-level event relationships from each event sequence in the log; then, based on all the low-level event relations, the event relations on the whole log level are deduced; finally, the model generation algorithm based on log-level event relation in the alpha algorithm is called to obtain the Petri net procedure. The invention can effectively mine the correct process model from the locally complete mixed event log, and compared with the existing mining method, is applicable to a wide range and is generally applicable to point event logs, interval event logs and mixed event logs.

The invention relates to the technical field of cloud computing, in particular to a point burying event code generation method, a point burying event code processing method and related equipment, and the point burying event code generation method comprises the steps that an initial path of a target page element in a target page is acquired, and the initial path takes a page element of a specified element tag as a root node; converting the initial path to obtain a path character string; in the path character string, identifying each page element in the initial path through a combination of a corresponding element label and an element sequence number; and according to the path character string and a page address corresponding to the target page, generating a buried point event code corresponding to the target page element. According to the method and the device, the bandwidth occupied in transmission is reduced by reducing the data volume of the buried point event coding.

The embodiment of that present disclosure provide a log verification method and device, an electronic device and a computer readable storage medium, which is applied in the field of log verification technology, wherein the method comprises: using a plurality of preset event monitoring modules to monitor the corresponding burial point events in the application program, generating a plurality of behavior logs to be verified corresponding to the plurality of burial point events, and then verifying a plurality of behavior logs to be verified based on a preset log rule list, determining the log verification result, that is, the automatic verification of the behavior logs to be verified is realized through the preset log rule list, and the verifier does not need to check the behavior logs one by one manually, so as to improve the verification efficiency of the behavior logs to be verified and reduce the verification cost.

The invention discloses a crime big data point mode analysis method based on an F function and improved KD tree parallel computing. The invention provides a method capable of rapidly analyzing a crimespace distribution mode, namely a crime big data point mode analysis method based on an F function and improved KD tree parallel computing, by combining improved KD tree parallel computing with a nearest neighbor distance point mode analysis method (F function) according to the demand of current crime big data processing. According to the method, the criminal point events in the space are clustered to construct the KD tree, and the nearest neighbor distance of the criminal point events in each KD tree is calculated in parallel, so that the effect of integrating the KD tree into scattered andpartitioned parallel processing is achieved, the calculation efficiency is improved, and the utilization rate of calculation resources is increased.

The invention relates to the technical field of data processing, and is used for accumulation and consumption of member points in a member system. Business nodes and accumulation rules of point accumulation and consumption are uniformly managed by defining a universal management framework, and the accumulation rules are realized through interface configuration so that the software development efficiency is improved. The invention specifically discloses a member point accumulation and consumption method and device, computer equipment and a storage medium. The method comprises the steps of defining a point event and a point rule; and developing an interface for realizing integral unified processing so as to construct a universal management framework.

The invention relates to a burying point processing method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining point burying event associated information in response to a point burying request in code development; the point burying event association information comprises a point burying event type and a to-be-buried page element of a target service; determining a target point burying event instruction corresponding to the point burying event type in a point burying plug-in; and carrying out binding processing on the page element to be subjected to point burying and the target point burying event instruction, and generating point burying event information corresponding to the page element to be subjected to point burying in the point burying plug-in. According to the technical scheme provided by the invention, point burying processing is carried out in a point burying plug-in mode, uniform and convenient point burying processing can be provided for developers, and development resources are saved; moreover, the method can achieve the separation of automatic buried point business logic, effectively avoids the coupling of buried points and businesses, and is convenient to maintain.