37results about How to "Simplify dependencies" patented technology

The invention discloses a workflow mining method based on subsequent tasks. The workflow mining based on an event log takes the event log as an input and takes a workflow model described by a Petri network as an output result; by the method, event types are introduced to ensure that the workflow log comprises a subsequent task of the current task, and the subsequent task refers to an aggregate of the tasks to which an execute permission is transferred after the current task is finished; and the method comprises the following steps of: (1) setting an initial value for a workflow process model to be mined; (2) analyzing the event log W, and calculating a task set TW, an initial task and an end task TO; (3) calling a relation Preprocess process to obtain a causal relation matrix M2 and a potential concurrency relation and concurrency relation matrix M3; and (4) calculating an initial task relation set XW according to the matrixes M2 and M3. By the invention, an integrated workflow mining method based on the subsequent tasks is formed.

The invention provides a method and system for controlling the user network access authority, including the presetting phase: the corresponding relationship between the network equipment configuration address portion and the network access authority; the corresponding relationship between the combination configured unique user equipment identifier for RADIUS server and DHCP server and address pool information. After the user authentication, IP address allocation phase for dynamic address request and network access authority selection, controlling of user network access authority: the DHCP server and RADIUS server may get the address pool information according to the unique identifier of user equipment and return to the user equipment, the user equipment may get the network access authority for corresponding network equipment configuration according to this address pool information. With the invention, directly control during the authentication, and dynamic address acquisition, simply and effectively realize the network access authority control for different user authenticated, simplify the dependency for network equipment.

The invention provides an elevator operating state detection system and method. The elevator operating state detection system comprises a three-axis acceleration sensor, an atmospheric pressure sensor, an acceleration computing module, a speed computing module, a height computing module and a judging module. The three-axis acceleration sensor is used for measuring operating acceleration of an elevator. The atmospheric pressure sensor is used for measuring the atmospheric pressure in the operating process of the elevator. The acceleration computing module is used for computing acceleration of the elevator in the operating direction based on data of the three-axis acceleration sensor. The speed computing module is used for computing the speed within a fixed time frame based on the acceleration obtained through the acceleration computing module. The height computing module is used for working out the current altitude based on the current atmospheric pressure measured by the atmospheric pressure sensor. The judging module is used for judging the operating state of the elevator according to the operating speed, the acceleration and the time of duration of the elevator. By the adoption of the elevator operating state detection system and method, the parameters are self-adaptive, and debugging is not needed for users; and the non-intrusive detection manner is independent of an elevator control system, operation of the elevator is not interfered, and safety is enhanced.

The invention relates to a method and a device of vehicle-mounted high-speed dynamic railway surface defect video detection. The method includes following steps: determining operation parameters of TDI line-scanning cameras according to a detection requirement; performing image calibration with the TDI line-scanning cameras; performing image registration to the images obtained by the two TDI line-scanning cameras; performing image interpolation calculation to the images after image registration and with spaces being staggered at a certain sub pixel displacement, thereby obtaining a pixel value of an interpolation point and finally obtaining a railway surface image with a space resolution being improved; performing classification and identification to railway surface defects, provides a caution of the railway surface defects and provides a fault point position according to a travelled distance of a train and GPS positioning information; and recording detection result data. The device includes two TDI line-scanning cameras, an industrial personal computer, a display, a train running status recording device set and a light source assembly. Compared with a method and a device in the prior art, the method and the device are quick in detection speed, are high in detection precision and can achieve real-time detection easily.

The embodiment of the invention discloses a network topology discovery method and device, equipment and a storage medium. The method comprises the steps: determining a port forwarding table of each switch in a target network for each subnet in the subnet; determining each downlink port of each switch and an MAC set of each downlink port based on the port forwarding table of each switch; determining the network topology of the subnet based on the downlink port of each switch and the MAC set corresponding to each downlink port.

The invention belongs to the technical field of artificial intelligence, and relates to a spring frame generic dependency injection method and device, computer equipment and a storage medium, and themethod comprises the steps: obtaining an operation path of a target bean object needing to be subjected to generic dependency injection after monitoring that a spring container is started; obtaining aclass file according to the operation path, and collecting the class file corresponding to one dependency object to form a class file set; and generating a bean object according to each class file inthe class file set, and injecting the bean object into the attribute of the target bean object to realize generic dependency injection. The scheme provided by the invention can be applied to a springframework without a generic dependency injection function; a class file is obtained from a set path after a spring container is started to realize generic dependency injection; the dependency relationship between the objects can be simplified, the program is more simplified, reading is easy, invasiveness is weak, the generated dependency object can immediately enter a ready state after construction is completed, and the program operation efficiency can be improved.

The invention discloses a test method comprising the steps of generating recorded data according to interaction data between a tested system in a recording mode and a peripheral system, and performing matching and searching in the stored recorded data according to a parameter requested by the tested system and returning data corresponding to the parameter to the tested system when the tested system is currently in a playback mode. Thus, simulation of the process in which the tested system calls the data of the peripheral system is realized, the dependency between the systems in the test process is simplified, and the test efficiency is improved. The invention further discloses a tested system.

The invention discloses a locomotive oil inlet casing sand core which is composed of an upper sand core and a lower sand core. The invention also discloses a method for manufacturing the locomotive oil inlet casing sand core. The method comprises the following steps: A. converting a two-dimensional picture file of the locomotive oil inlet casing into a three-dimensional picture file; B. inverting the three-dimensional picture file into an integral-structure sand core picture file; C. carrying out modular cutting on the integral-structure sand core in the picture file obtained in the step B; D. making the section profile data of each sand core module into a distribution picture which can be recognized by a 3D printer; and E. printing the distribution picture through the 3D printer, thereby obtaining the sand core.

The invention provides a server monitoring method, device and system and electronic equipment, and relates to the field of cloud computing. The method comprises the steps that an application server sends registration information containing application parameters to a monitoring server, so that the monitoring server stores the application parameters for registration and feeds registration success information back to the application server; and at the moment, the application server reports the state information to a monitoring server according to a preset first time interval, so that the monitoring server monitors the application server according to the state information. Therefore, the monitoring server and each application server are coupled with each other, the network structure is simple, the mutual influence of the application servers is avoided, the application servers actively report the state information to the monitoring server, and when a new application server is added, the monitoring server does not need to update configuration, so that the maintenance cost is reduced.

The invention discloses a liquid rocket power system commissioning method and device, which is used for a power system part section with a landing support. The liquid rocket power system commissioningdevice includes a plurality of foot fixed units, a counterweighing unit, an engine control unit, a data collecting measuring unit and an analyzing unit; the foot fixed units are correspondingly usedfor bearing and fixing all stand bars of the landing support, the counterweighing unit is arranged on the landing support and / or the inner part of the power system part section, the engine control unit is used for controlling operation of starting and stopping of an engine, the data collecting measuring unit is used for collecting commissioning state parameters of the power system part section, and data analyzing is conducted through the analyzing unit according to the commissioning state parameters collected by the data collecting measuring unit and preset conditions to obtain analyzing results. The scheme is applied, on the basis that the good assessment effect is achieved, commissioning cost can be effectively lowered, and application prospects are achieved.

The invention provides a single-molecule fluorescent gene sequencing optical system which is a novel single-molecule real-time sequencing technology based on frequency scanning. The single-molecule fluorescent gene sequencing optical system comprises a sequencing chip and a plurality of single-wavelength pulse laser groups for exciting fluorescent signals, wherein exciting light of the pulse laser groups sequentially irradiates the sequencing chip through a laser light path, and a gene sequence to be detected is sequentially subjected to frequency scanning; then, optical imaging is performed through a fluorescent light path; and sequencing is performed on four basic group phosphoric acid segments of nucleotide molecules modified with different fluorescent molecules. A pulse laser scanning illumination mode is used, so that the light damage of the laser light intensity on DNA polymerase by continuous illumination in the conventional three-generation single-molecule real-time sequencing can be effectively reduced; the pulse scanning time is selected to be shorter than the polymerization extension time, so that in the ATGC cyclic sequencing process, before the next basic group starts to be detected, the sequencing accuracy can be improved through repeated measurement on the previous basic group.

The invention discloses an adjacent point correlativity mean noise reduction method implemented for FFT data. The method comprises the steps of setting a reference value dRef; comparing to-be-processed FFT signal data with the reference value dRef; for the data with the value lower than the reference value dRef, calculating a mean of a set number of pieces of adjacent data, and replacing the data value lower than the reference value dRef with the mean; and reducing the amplitude of distorted data with the value lower than the reference value and reducing the noise band to enable signals with values lower than the reference value to gather to the center of noise. The amplitude of the distorted data with the value lower than the reference value can be reduced through an adjacent data mean method and the noise band is reduced, so that the signals with the values lower than the reference value can gather to the center of the noise, and the noise can be inhibited and the interference signal energy can be reduced to a certain extent.

The invention provides a carrier pigeon genetic relationship analysis method and device and a storage medium. The method comprises the steps of acquiring a plurality of carrier pigeon iris image sample groups and corresponding labels, wherein the carrier pigeon iris image sample groups comprise a plurality of carrier pigeon iris images, and the labels are used for indicating genetic relationshipsbetween carrier pigeons corresponding to the carrier pigeon iris images respectively; training a preset twin neural network according to the carrier pigeon iris image sample groups and the corresponding labels to obtain a trained carrier pigeon iris neural network model; and carrying out genetic relationship analysis on a to-be-analyzed carrier pigeon iris image according to the carrier pigeon iris neural network model.

The invention relates to the technical field of computers, and provides a parameter calling method and device, electronic equipment and a storage medium. Values of at least one variable parameter corresponding to each service function are stored in a variable storage container, and a dependency relationship between the variable storage container and each service function is established, so that each business function can acquire the value of the required variable parameter from the variable storage container; thus, no strong coupling relationship exists between each service function and the variable parameter, and the dependency relationship between all the service functions and the variable storage container is established, so that the dependency relationship between the service functionsand the variable parameter is simplified, and finally, the flexibility of parameter calling is improved.

The present invention provides a stream processing device (100) with a processor (110) for processing a stream of data (120) inside a streaming window (130). The processor (110) is configured to generate a higher order representation (140) from the content of the streaming window (130), and the processor (110) is configured to process the higher order representation (140).

The invention discloses a method and system for predicting the residual life of uniform corrosion of a pressure pipeline of a refining device, and relates to the technical field of equipment management. The method comprises the steps that firstly, the pressure design wall thickness is calculated according to a strength formula; then, the calculated wall thickness is obtained based on the pressuredesign wall thickness, the corrosion allowance and the pipeline wall thickness negative deviation; a corresponding Sch number and a wall thickness value are selected upwards according to SH / T 3405 toobtain an original design thickness; and finally, the residual life of the pressure pipeline is calculated on the basis of the data. According to the scheme, the method for calculating the corrosion residual life of the uniform corrosion pressure pipeline under the condition of complete lack of data is created for the condition of incomplete basic data or incomplete thickness measurement management of some refinery enterprises, and based on different data integrity degrees of different refinery enterprises, the prediction calculation of the residual life of the uniform corrosion of the pressure pipeline under different data conditions is realized, the dependence of the prior art on data is greatly simplified, and the practical application is more convenient.

The invention discloses an average noise reducing method implemented on FFT (Fast Fourier Transform) data. The method comprises the following steps: averaging FFT signal data within a set range and data lower than a reference value dRef to obtain an average noise baseline value lower than the reference value dRef; then, averaging data lower than the reference value dRef in data to be processed together with the average noise baseline value; and drawing signals below the set reference value close to the average noise baseline value in order to restrain noise and reduce interference signal energy. Through adoption of the method, the requirements and dependencies on hardware are simplified greatly, and overhead caused by hardware debugging is reduced at the same time.

The present invention discloses a system capable of implementing data measurement. Said system includes an accumulation unit and a binary shifting unit. Said invention also provides a method for implementing data measurement. Besides, said invention also provides the concrete steps of said method.

The invention discloses a radio frequency fine feature information extraction method and system based on semi-supervised meta learning. The method comprises the following steps: acquiring corresponding non-label data and label data; acquiring corresponding pseudo label data according to the non-label data; updating a student network weight according to the pseudo tag data; acquiring a feedback coefficient of the teacher network; according to the feedback of the student network, obtaining the gradient change of the teacher network weight; calculating the gradient update of the teacher network according to the label data; according to the teacher network weight gradient of the non-label data under the condition of automatic enhancement processing, updating the teacher network weight, and returning the student network weight; and re-executing the steps until the execution is finished, and outputting the student network weight. According to the method, communication radiation source subtle feature information extraction and individual identification are taken as targets, and on the basis of a semi-supervised meta learning model, individual identification of large-scale equipment based on radio frequency subtle features is completed through simultaneous training and mutual promotion of a student network and a teacher network.

The invention relates to a method and device for generating test data, computer equipment and a storage medium. The method comprises the steps that a data set corresponding to test data is acquired, a classification template is generated based on a service scene corresponding to the data set, and the classification template comprises classification information; obtaining a service scene identifier corresponding to the classification information, respectively obtaining a field set and a combined field set corresponding to the service scene identifier, and obtaining a scene template; a corresponding relation between the classification template and the scene template is established, the classification template and the scene template are combined according to the corresponding relation, a target template is obtained, and the target template comprises classification information and a to-be-filled field; when a test data generation instruction is received, test data are generated according to the to-be-filled fields, and the test data correspond to the classification information. By adopting the method, the classification template, the scene template and the field combination can be shared, the dependence of workers on professional business personnel is simplified, the preprocessing efficiency of the test data is improved, and the test efficiency is further improved.

The invention discloses a route inquiry system based on the WEB. The system comprises mobile intelligent terminals, a first WEB server and a second WEB server. The mobile intelligent terminals send a first access request to the first WEB server based on a first access network address, receives a first HTTP response which is sent by the first WEB server, send a second access request to the second WEB server based on a second access network address and receive a second HTTP response which is sent by the second WEB server, wherein the second access request includes current geographical position information of users. The first WEB server receives the first access request and sends the first HTTP response to a browser, wherein the first HTTP response is used for obtaining the current geographical position information of the users. The second WEB server receives the second access request, generates / obtains route information from current geographical positions of the users to target geographical positions and returns the second HTTP response which includes the route information from the current geographical positions of the users to the target geographical positions. Dependency on special navigation application software is reduced as much as possible, and the operation steps of obtaining the route information are simplified for the users.

The invention provides a double-sided preparation method of a drift detector, which comprises forming a first isolation layer on one side of a semiconductor substrate, sequentially forming a second isolation layer and an anti-corrosion layer on the other side of the semiconductor substrate, and selectively removing the first isolation layer. One isolating layer to form the anode region and the drift ring region, and the second isolating layer and the anti-corrosion layer are selectively removed to form the collection region; the anode region, the drift ring region and the collection region are respectively ion-doped and the semiconductor substrate is annealed ; forming a dielectric layer on the surfaces of the anode region, the drift ring region and the collection region; forming a contact hole through the dielectric layer on the dielectric layer, and filling the contact hole to form a metal lead. In the present invention, by depositing an anti-corrosion layer on the second isolation layer, the damage to the second isolation layer, the anode area and the drift ring area is reduced when the first isolation layer is removed by a wet etching process, which is beneficial to the use of single-sided light Engraving technology realizes double-sided process. The present invention also provides a drift detector obtained by applying the above double-sided preparation method.

The invention provides a communication system and a communication method for an underground logging instrument bus. The communication system is provided with a coaxial cable and an underground logging instrument, and also comprises a central processing unit, an Ethernet chip connected to the central processing unit and a coaxial cable chip connected between the Ethernet chip and the coaxial cable. When receiving a transmitted message from the central processing unit, the Ethernet chip transmits the transmitted message to the coaxial cable by calling the coaxial cable chip; and when detecting a data message belonging to the coaxial cable chip or transmitted to the coaxial cable chip on the coaxial cable, the coaxial cable chip receives and transmits the data message to the Ethernet chip, and the Ethernet chip transmits the data message to the central processing unit. Coupling and relevancy between equipment can be simplified, the equipment is modularized, and a bus data transmission platform is established, so that instruments of each manufacturer can be easily compatible.

The invention belongs to improvement of a medical technology, and particularly relates to a remote medical image enhancement system and method based on artificial intelligence, which utilize a super-resolution image reconstruction technology to improve the resolution of a medical image so as to improve the quality of the medical image, and improve the resolution of the medical image through an artificial intelligence method, thereby effectively reducing the expensive medical hardware cost. The system comprises a remote terminal and a central server, the remote terminal comprises an image acquisition module and a remote processor module, the central server module comprises a service processor module, an image big data set module, a GPU cluster module and an artificial intelligence algorithmmodule, and the remote processor module comprises an enhancement algorithm module and a prediction model module; the image acquisition module is in signal connection with the remote processor, the remote processor is in signal connection with the service processor, the image big data set module, the GPU cluster module and the artificial intelligence algorithm module are all in signal connection with the service processor, and the enhancement algorithm module is in signal connection with the prediction model module.