34results about How to "Clear data structure" patented technology

The invention provides a depression risk screening system and method based on a virtual reality scene electroencephalogram signal. Under the stimulation of a virtual reality scene, real-time acquisition, processing and analysis of data are carried out on the electroencephalogram signal by an electroencephalogram acquisition system, and finally, a depression risk is screened by a data mining method. The system provided by the invention comprises a virtual reality induction system, a electroencephalogram signal acquisition system and a data analysis system; the virtual reality induction system is used for establishing different virtual reality scenes; the electroencephalogram signal acquisition system is used for acquiring the electroencephalogram signal of a human brain, which is generated under the stimulation of the virtual reality scene and is continuously changed, and outputting the processed electroencephalogram signal and extracted real-time feature information; the data analysis system has a classification discrimination model trained by labeled healthy populations and depression risk populations, compares feature information required in a depression screening process with feature parameters of the classification discrimination model, and distinguishes and discriminates the healthy populations and the depression risk populations.

The invention provides an acousto-optic sleep intervention system and method based on electroencephalogram signals. The method includes the steps: acquiring, processing and analyzing the electroencephalogram signals in real time during sleep through a universal electroencephalogram acquisition system; staging sleep by a data mining method; intervening through the sound and light in the REM (rapid-eye-movement) period of sleep and shallow sleep to achieve the purpose of improving sleep quality. The system includes a sleep electroencephalogram acquisition module, a sleep electroencephalogram staging module, and a sleep intervention module; the sleep electroencephalogram acquisition module is used to acquire the electroencephalogram signals that have continuously changed during sleep, the electroencephalogram signals after the output, and the extracted electroencephalogram characteristic information; the sleep electroencephalogram staging module is used to staging the sleep electroencephalogram characteristic information with trained sleep staging models; the sleep intervention module is used for selecting a suitable sleep intervention program based on the staging results, and the subject undergoes double intervention of sound and light.

The present invention discloses a constructing method for the graphic contour descriptor. The method includes the following steps: A. the graphic contour point is detected by point to get contour vector; B. according to the contour vector, the directional distance vector is drawn off; C. according to the directional distance vector, the contour descriptor is constructed. The present invention has the following advantages: firstly, the description of the graphic contour is very intuitionistic, which is similar to the sense of human; secondly, rotation, parallel moving, shrinkage and enlargement can not change the contour, and the contour has good anti-interference ability for shape changing; thirdly, the data structure is very clear, searches can be performed under different resolutions; fourthly, for non-convex shapes, good description ability is also possessed. The contour descriptor constructed by the present invention is effective and has good robustness.

The invention discloses an online equipment fault diagnosis platform of a mobile terminal based on a knowledge graph. The method comprises the following steps: S1, establishing a numerical control machine tool information extraction module; S2, establishing a data cleaning and knowledge graph module; S3, establishing a question and answer extension module; and S4, establishing a background management module. Answers finally adopted by a user can be taken as new nodes to be brought into the relationship of the knowledge graph, and new records are added to a machine tool fault word segmentationdictionary and a problem template, so that a system is more intelligent in use, and the use experience of the user is improved.

The invention provides an information system data architecture model and a construction method thereof. Firstly, a system to be designed is decomposed into a plurality of businesses; each service is designed into a service data model composed of data entities, then a service function data model is constructed according to the angle of service operation, the data entities are defined through the service function data model, and finally one or more defined service function data models are constrained through a service process. According to the method, the system needing to be designed can be decomposed into a service data model; the service data model is decomposed into the data entities, on the basis, the user can construct the service function data model according to the functions, constraint is carried out through the service process, an independent function system is built, building of the function system is simpler, more convenient and more flexible, and the expandability and maintainability of the system are improved.

The present invention relates to a power load prediction method based on sparse representation. The method comprises the following steps of: obtaining real power load data through an electric power company, and performing preprocessing of the data to obtain preprocessed power load data, wherein the preprocessing comprises concrete operation such as data missing, data exception and data normalization; splicing a basic dictionary, a unit matrix dictionary and an external factor dictionary to form an over-complete dictionary, wherein the over-complete dictionary comprises a training dictionary configured to solve sparse coefficient vectors and a test dictionary configured to predict future power load; employing an orthogonal matching pursuit (OMP) algorithm to solve the sparse coefficient vectors according to the preprocessing power load data and the training dictionary; and combining the test dictionary and the sparse coefficient vectors to predict the future power load. The method can effectively predict the future power load on the basis of the real power load data set and can observably improve the precision of the load prediction in a condition of adding external factors.

The invention relates to the technical field of computer data processing and discloses a multi-value data storage and reading method and apparatus and a multi-value data access system. According to the technical scheme provided by the invention, two-stage indexes and a corresponding relation thereof are initialized; and a key value is determined through a first-stage index, at least one data value is determined through a second-stage index represented by the key value, and storage, reading or deletion operation is performed on the at least one data value by utilizing a key. According to the technical scheme provided by the invention, a mode for storing and extracting data in the form of a key value pair in the prior art is improved, the adopted data structure is clear in layer, an object set does not need to be newly created, and the efficiency for processing multi-value data is greatly improved through data storage and extraction by the technical scheme provided by the invention.

A CAN reception method uses a CAN extended frame 29 as an identifier, respectively creates a plurality of reception buffers according to CAN ID priority so as to receive messages of different priorities, wherein the buffer sizes are decided by needed physical quantity in real applications; the subscript of each buffer array is matched with the CAN ID under the same priority one by one; the CAN is set as reception interruption; once a message frame is received, the buffer data can be updated according to the CAN ID priority and a corresponding relation formula. The method can timely update the storage CAN message buffer after one CAN message frame is received, thus timely and fast receiving CAN messages; the method can classify the received signals in a reception process according to the communication protocols, so the data structure can be clearer, and the message can be more reasonably parsed.

The invention discloses a cloud dial plate design method of a smart watch. The method includes the steps of creation of a cloud dial control data structure, data binding, writing of a dial simulation file, confirmation of a dial ID and the size of a dial resource file, final generation of a dial file, transmission of the dial file, storage of the dial file, initialization of a cloud dial in smart watch firmware, analysis of the dial file, and display of the cloud dial in the watch. According to the method, the occupied memory resources are small, codes are independent, coupling is low, portability is high, operability and modifiability are high, and the method has the advantages that controls are diversified, matching is flexible, and attribute elements are rich; the method supports fonts, static graphs and multi-frame dynamic graphs of different models; in the aspect of interaction, small control clicking interface jumping can be carried out, and real-time binding of various data is achieved; besides, a plurality of dial plate controls with micro-actions, different hand following effects and changeable styles are added, the data structure is clear, classification is clear, events are convenient to bind, and writing of dial plate simulation files is facilitated.

The invention provides a data processing method for multistage pull-down question types in an online questionnaire survey system. The data processing method comprises the following steps: S1, inputting questionnaire data; S2, processing questionnaire data; S3, reading format data stored in the step S2, converting the format data into a user interface, taking the user interface as a questionnaire mode, and performing multi-level pull-down selection; S4, inputting answer sheet data; S5, processing questionnaire data; S6, reading all answer sheet data in S5, grouping the data by using group, grouping the data according to multi-level pull-down answers, and counting the frequency of each answer; S7, splitting the multi-level pull-down answers by using spit, carrying frequency, and converting the multi-level pull-down answers into a list array; and S8, outputting. According to the scheme, storage is simpler, the query is quicker, and the performance of the scheme can be better manifested along with the increase of the number of data sources, the increase of answer sheets and the increase of hierarchies.

The invention discloses a digital media content protection method, device, server and terminal, and relates to the technical field of a digital media, and can effectively improve the digital media content protection operating efficiency. The method comprises the following steps of establishing a secrete key application rule target, wherein the secrete key application rule target is used for describing a content secrete key for encrypting a digital media content and each layer superior secrete key for encrypting the content secrete key; transmitting the secrete key application rule target to a user, so that each layer superior secrete key and the content secrete key of the secrete key application rule target are gradually decrypted by utilizing a client private key layer by layer, and the corresponding digital media content is decrypted. The method, device, server and terminal are applicable to various digital media files needing the content protection.

The invention discloses a real estate automatic appraisal method based on raster data, which comprises the following steps: (1) generating a raster in a research area; (2) establishing a service datalayer in each grid; (3) according to the spatial distribution of the grid data, carrying out scanning grid clustering and merging; (4) performing automatic appraisal of real estate. The invention discloses the real estate automatic appraisal method based on raster data, which solves the storage problem of image and spatial attributes through the form of raster. The business scenario data of the grid is correlated by the grid ID, and the data structure is simple. The storage form of raster data is advantageous for spatial metrology analysis using spatial analysis library.

This invention discloses one business trigger matching method, which comprises the following steps: only setting the relative register status of the public user to the user profile partlndicator and not setting public user relative status on the relative service point trigger and only setting the user with public label as dialogue sponsor or end part on SIP message matching; only in profile partindicator dividing the public user label relative register status portable with SIP and allocating relative service point trigger to match to the SIP message.

The invention discloses a method for improving table processing speed based on dynamic adjustment. The method comprises the following steps: S1, distinguishing dynamic adjustment price adjustment orders and non-price adjustment orders in a pre-estimation table; s2, storing the dynamic dispatch price adjustment order information in a dynamic dispatch storage table; s3, the order numbers in the pre-estimation table are connected with the order numbers in the dynamic dispatching storage table, and needed coefficients are obtained.The method is suitable for the technical field of online car-hailing, and compared with a previous method that full analysis is carried out on the pre-estimation table with the large magnitude and a new dynamic dispatching storage table is added, only 20% of dynamic dispatching data needs to be reprocessed, analysis on unnecessary analysis fields is reduced, and the efficiency is improved. The processing speed is improved, and compared with the situation that when the dynamic call data is stored in one field of the full-amount pre-estimation table, the storage content of the field is complex and difficult to check, the data structure stored in the newly-built dynamic call storage table is clearer and easy to use.

The invention discloses a data interaction method, device and equipment of a nuclear power design production management platform and a storage medium, and the method comprises the steps of obtaining an access request initiated by a user terminal to the nuclear power design production management platform through a browser, and returning UI page data to the user terminal according to the access request, so that the user terminal displays a UI page of the nuclear power design production management platform on a browser; receiving a data request initiated by a user by operating a control on the UI page, wherein the data request comprises an identifier of a DOM object corresponding to the control; obtaining a data set which is bound with the DOM object in advance through a Controller class and the identifier; and returning the data set to the user terminal in a JSON format, so that the user terminal carries out loading according to the data set. According to the invention, the user operation speed can be increased, various mainstream browsers are supported, accurate positioning and flexible calling of the DOM object are realized, and the use experience of the user is improved.

The invention discloses a message consumption method based on a set, a message production method based on the set, a system and a storage medium, and the consumption method comprises the steps: obtaining a message array based on a message queue, and integrating a plurality of to-be-consumed messages which are generated based on a preset format and have the same consumption type in the message array; consuming each to-be-consumed message, generating a state identifier of each to-be-consumed message, and monitoring whether an abnormal state identifier exists in each state identifier; if yes, importing the message array into the message queue again, executing the step of obtaining the message array based on the message queue until the state identification of each message to be consumed in the message array is the normal state identification, and completing consumption of the message array. According to the invention, the message array read from the message queue each time contains multiple items of messages to be consumed, so that resources consumed due to one-by-one transmission and consumption of the messages to be consumed are reduced. And meanwhile, the to-be-consumed message is generated in a preset format, so that consumption can be quickly analyzed, and the message consumption efficiency is improved.

The invention discloses a method for extracting an indoor branch link topological relation based on CAD drawing data. The method comprises the following steps: S1, collecting data; s2, uploading drawings: uploading indoor coverage design drawings through an intelligent indoor distribution monitoring system; s3, drawing information extraction: enabling the intelligent indoor distribution monitoringsystem to generate a handshake file, analyze and monitor the handshake file, read an indoor coverage design drawing and perform drawing information extraction work; s4, analyzing the drawing information, and carrying out drawing frame data matching and data type conversion; s5, performing classifying according to the legend information in each picture frame, extracting the legend information, andoutputting a json format text to a specified directory in combination with indoor distribution equipment information; extracting an indoor distribution coverage floor system diagram equipment association relationship, outputting an indoor distribution equipment association relationship text of each floor to a specified directory, and generating an associated handshake file; s6, generating a planar graph and point location information; and S7, carrying out hierarchical presentation: enabling the front-end page to acquire the indoor distribution topological data from the background to perform hierarchical presentation.