62 results about "User analysis" patented technology

The application provides a network user intention recognition method, vectorization representation of text content and emotion is realized through two kinds of Bert pre-training models, efficient extraction of global and local features of the text is realized by adopting a Text-Inception module and a Bi-LSTM network, further, dynamic fusion of the local features and the global features of the text is realized based on an improved SENet network, and dynamic combination of the text and emotional features is realized through a residual cross-attention mechanism, understanding and recognition of the intention of the social network user are realized. Finally, the application can accurately recognize the intention of the user, and further provide support for a wide range of application scenarios, such as malicious user analysis of social media.

An object of the system according to the embodiment is to efficiently generate an advertisement creative with a high CTR or CVR and display an optimum advertisement for each user.SOLUTION: A system according to an embodiment includes an advertising creative analyzer, a generator, and a user analyzer. The advertising creative analysis unit analyzes an advertising creative with a high CTR or CVR. A generation unit generates a new advertising creative based on the features analyzed by the advertising creative analysis unit. The user analysis unit analyzes the advertising creative generated by the generation unit for each user and displays an optimal advertisement.SELECTED DRAWING: Figure 1

The invention discloses an experimental data analysis method, device and equipment and a storage medium, and relates to the field of data processing, and the method comprises the steps: carrying out the demand analysis of an experimental data file and a user analysis demand based on a large language model, and determining an experimental task specification which at least comprises an experimental type; according to the experiment type and the experiment data file, generating a standardized data table and a data portrait; determining an experimental data analysis plan according to the experimental task specifications and the data portraits; executing an experimental data analysis plan, and performing data processing on the standardized data table to obtain cartographic data and a statistical analysis result; based on a decoupling mechanism of drawing code generation and execution, generating experimental chart data according to the drawing data; and generating an experimental data analysis report according to the experimental chart data and the statistical analysis result. According to the scheme, end-to-end experimental data analysis from data input to report generation is realized, and the accuracy of experimental data analysis is improved.

Disclosed is a system (200) and method (300) for visualizing performance metrics data of wireless devices (106-118) within a selected viewport on a map interface. The method involves displaying a graphical user interface (GUI) with selectable options for defining a viewport and a service area of interest in a map layer. Further, upon receiving the user's input, relevant device data and network performance data of each wireless device within the selected viewport and the service area of interest is retrieved. The retrieved data is processed to generate the performance metrics data in a tabular format indicating a mapping of the device data with the network performance data corresponding to each wireless device. Further, the GUI provides options for sorting, filtering, downloading, and sharing the performance metrics data to facilitate detailed user analysis.

A system is provided.SOLUTION: A system comprising: input means for receiving data of income, expenditure, and saving target input by a user; transmitting means for transmitting the data from the input means to a server; storing means for storing the data received from the transmitting means in a database in the server; analyzing means for analyzing the data stored in the storing means and generating optimum household economy management advice in the server; and notifying means for notifying the user of the household economy management advice generated by the analyzing means.SELECTED DRAWING: Figure 1

The invention relates to the technical field of audio-video intelligent optimization, and discloses an integrated intelligent audio-video playing system, which comprises a content acquisition module, a user analysis module, a playing control module, an energy-saving optimization module, a state monitoring module, a cloud synchronization module and an emergency processing module, by setting an intelligent sensing module, when video content is played adaptively, personalized matching of video recommendation is ensured by formulating double analysis standards of user emotion and environmental parameters and setting differentiated recommendation thresholds for different scenes, and meanwhile, environmental noise and user physiological sensor data are collected in real time; therefore, interference factors and instant emotional states of the environment where the user is located can be dynamically perceived, the problem of recommendation dislocation caused by environment interference is eliminated, high conformity of played content and user requirements is guaranteed, and the recommendation error rate is reduced.

The application discloses a passenger car carbon emission monitoring and regulation system and method based on multi-source space-time data, comprising: a data fusion module for processing multi-source data and outputting space-time aligned fusion data; a carbon emission tracing and user analysis module for calculating vehicle-level carbon emission contribution and dividing user groups based on the fusion data; a multi-level regional accounting and early warning module for receiving and based on the vehicle-level carbon emission contribution and user group division results, and generating early warning signals by comparing preset targets; a regulation simulation and feedback module for simulating and generating regulation instructions according to the early warning signals, and feeding back the effect data after the instruction execution to the carbon emission tracing and user analysis module. The application realizes the tracing of massive mobile source carbon emissions from a macro region to specific vehicles, driving sections and time segments by constructing a data fusion-vehicle-level carbon emission calculation-user group clustering analysis chain, and solves the industry problem.

This invention belongs to the field of data analysis and query optimization technology. Specifically, it relates to an interactive, visual data analysis and dynamic query optimization system, comprising: a multi-source data aggregation module for extracting query feature sets from interactive query data; a feature extraction and construction module for building an interactive query prediction model based on the user's analytical intent and a pre-defined query optimization engine and query feature set; a model intent prediction module for outputting a dynamic query plan set based on the interactive query prediction model and establishing a switching mechanism; a plan generation and switching module for generating a dynamic analysis view set based on the query execution result set using a multi-version view adaptation strategy combined with the switching mechanism; and a view rendering and output module for optimizing rendering performance and incrementally updating the dynamic analysis view set, outputting a real-time responsive analysis visualization interface. This invention enhances the level of analytical intelligence and automatically and accurately identifies the user's true analytical intent.

We provide the system. [Solution] The system includes an information processing device for generating a virtual reality environment, and the virtual reality environment includes means for reproducing a scene intended for tactical training of movement, A means for detecting the actions of participants within a generated virtual reality environment using a detection device and acquiring information related to those actions, A means for immediately analyzing the information obtained above and generating tactical feedback based on the analysis results, Means including a display device or output device for notifying the user of the analysis results, A means of monitoring user behavior and providing virtual exercise scenarios using a humanoid robot for home use, A system that includes this.

The invention discloses a quail digital breeding data processing system based on terminal cloud collaboration, and belongs to the technical field of quail breeding. Quail breeding is monitored in real time, and breeding collection data is obtained; processing the culture collection data according to a preset data processing mode, and sending the processed culture collection data to a cloud platform; identifying analysis requirements of the user, and analyzing the breeding collection data according to each analysis requirement to obtain an analysis result of each analysis requirement; setting a traceability demand table, and performing real-time traceability analysis on the database according to the traceability demand to obtain each sharing management demand; processing the stored data of the database according to each sharing management demand; real-time, continuous and accurate monitoring of quail breeding environment parameters is achieved, any abnormal changes of key environment indexes such as temperature, humidity and ammonia gas concentration can be captured in time, and farmers can rapidly take effective adjustment measures.

The application discloses an experimental data analysis method and device, equipment and a storage medium, and relates to the field of data processing.The method comprises the following steps: based on a large language model, performing demand analysis on an experimental data file and a user analysis demand, determining an experimental task specification, and determining that the experimental task specification at least comprises an experimental type; generating a standardized data table and a data portrait according to the experimental type and the experimental data file; determining an experimental data analysis plan according to the experimental task specification and the data portrait; executing the experimental data analysis plan, performing data processing on the standardized data table, obtaining mapping data and statistical analysis results; based on a decoupling mechanism of mapping code generation and execution, generating experimental chart data according to the mapping data; and generating an experimental data analysis report according to the experimental chart data and the statistical analysis results.The application realizes end-to-end experimental data analysis from data input to report generation, and improves the accuracy of experimental data analysis.

The application discloses an EEG intelligent agent automatic analysis method based on a large language model, takes the large language model as a strategy engine, autonomously understands user analysis intentions and performs intelligent decomposition of tasks, and then dynamically schedules and cooperatively integrates analysis resources including traditional feature engineering, diversified deep learning models and external knowledge bases. The application can realize end-to-end automatic coordination and execution of complex EEG analysis tasks from signal preprocessing, feature extraction, event positioning to classification diagnosis, emotion recognition, sleep staging, etc., breaks through the limitation of single detection or classification tasks, and enables multi-task, continuous deep reasoning and interpretation of complex EEG data through context perception and flexible space-time analysis capability. The application deeply integrates the general planning and reasoning capability of the large language model with the special analysis model in the EEG field, and significantly improves the automation level, flexibility and clinical application potential of EEG analysis.

The utility model discloses a device for automatically monitoring effectiveness of a cathode protection system of a metal pipeline, which comprises a computer processor assembly, a sensor assembly, an electric data bus, a medium and a protected structure, a computer processor component connected to one or more sensor components placed along an electrical data bus, the sensor components and the electrical data bus being buried or submerged in a medium; the sensor assemblies are placed at a first distance of a protected structure, and adjacent sensor assemblies are separated by a second distance; according to the utility model, a user can be helped to analyze and check the performance of the cathode protection system, and data can be summarized regularly or at any random period so as to ensure the normal operation of the current cathode protection system.

The invention provides a resource prediction and personalized service recommendation method and device based on a large model. The method comprises the steps of obtaining at least one type of historical business data; training a resource prediction model and a user analysis model by using the at least one type of historical business data; acquiring at least one type of real-time service data generated by the current operation behavior of at least one user; analyzing the real-time service data by using the resource prediction model, and outputting early warning information corresponding to each user; generating a personalized service scheme corresponding to each user based on the early warning information and the real-time business data by using a user analysis model; and recommending the corresponding personalized service scheme to each user. According to the invention, human intervention can be reduced, service processing is intelligent and automatic, timely response can be realized, user experience can be improved, and potential risks can be reduced.

This invention discloses an intelligent analysis method, apparatus, device, and medium for big data warehouses. The method includes responding to user analysis requests and obtaining target resource location information corresponding to the user's analysis requests from a preset initial entry layer; wherein the initial entry layer stores resource location information of the big data warehouse; constructing a current context based on the user analysis requests and target resource location information; checking whether the current context meets the sufficiency conditions for analyzing the user's analysis requests based on a preset requirement coverage check strategy, to obtain a check result; if the check result is determined to be satisfactory, simplifying the current context according to a preset context management strategy to obtain a minimum effective context; performing analysis and reasoning based on the minimum effective context and outputting the analysis results. This invention significantly improves the accuracy and efficiency of big data warehouse analysis by actively exploring data and dynamically constructing a minimum effective context.

The invention relates to a data caching method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: for each user, analyzing historical query data of the user, and obtaining query characteristics of the user for a target service; generating a data caching strategy of the target service based on the query feature; and preloading the service data of the target service according to the data caching strategy to obtain preloaded data, and caching the preloaded data. By adopting the method, the query behavior of the user can be analyzed by utilizing the historical query data of the ss user so as to determine the query habit and rule of the user and formulate the data caching strategy, the service data is preloaded and cached according to the caching strategy, the resources are concentrated on the data which can be queried by the user, the cache hit rate is increased, and the user experience is improved. And unnecessary resource consumption is reduced.

The invention discloses an interactive medical image analysis method. The method comprises the steps of obtaining to-be-analyzed medical image data and a user analysis instruction; inputting the image data and the instruction into a multi-modal reasoning model based on the current input context, and generating interactive output containing reasoning information and a tool calling instruction; calling a predefined image processing tool according to the instruction to obtain an intermediate processing result, wherein the result comprises an intermediate image, target area identification information and / or quantitative measurement data; displaying the reasoning information and / or the intermediate processing result and receiving user confirmation or correction; and forming an updated context by the reasoning information, the tool calling instruction, the intermediate processing result and the auditing input write-in context, iterating the updated context to a termination condition, and outputting an image analysis result containing the target area identifier and the associated quantitative index. According to the method, interactive correction is achieved through traceable reasoning, tools and auditing closed loops, and the interpretability, rechecking performance and stability of the result are improved.

The invention relates to the technical field of mathematical modeling, in particular to a mathematical modeling system utilizing a computer multi-dimensional space, and the system firstly carries out unified analysis and feature vectorization processing on data from different sources and different structures, and automatically constructs a dynamically adjustable multi-dimensional mathematical space structure based on the importance and correlation of features. A modeling task is executed in the space, model parameters are established by analyzing collaborative changes between dimensions, and a preliminary model result is output; the system further utilizes an error feedback mechanism to carry out dynamic correction on the space structure and model parameters, and continuous optimization and self-adaptive adjustment of the model are achieved. And finally, the system outputs the corrected model result in a structured manner, and generates a visual space projection drawing for an external system to call and a user to analyze. The method can effectively solve the problems that unified modeling of multi-source heterogeneous data is difficult, the space structure lacks self-adaptive ability and the model stability is insufficient.

The invention relates to an active real-time user analysis operation method and system based on a block chain, and the method comprises the steps: obtaining user behavior data, and carrying out the uplink of the user behavior data through calling a corresponding intelligent contract according to the actual business condition; executing the intelligent contract, obtaining user path data, and generating chain transaction data by executing an oracle machine contract; consensus mechanism confirmation is conducted on the user behavior data, if consensus passes, a new block is generated through data uplink, and otherwise, the current process is ended; storing and issuing the ID information of the new block; issuing chain transaction data; performing intelligent contract preset condition judgment on the new block, and broadcasting an intelligent operation event according to a judgment result; and executing the specified operation for the user. Compared with the prior art, human intervention can be reduced, the user behavior data can be automatically processed and analyzed, and the efficiency and real-time performance of user operation processing are improved.

The embodiment of the invention discloses a remote terminal for comprehensive signal evaluation. The remote terminal is configured to obtain equipment position information and user information of a comprehensive signal analyzer; determining the assessment difficulty based on the equipment position information and the user information of the comprehensive signal analyzer; determining grouping information of the comprehensive signal analyzer based on the evaluation difficulty, determining simulation test parameters based on the grouping information of the comprehensive signal analyzer, and sending the simulation test parameters to the comprehensive signal analyzer; and in response to the obtained user analysis result of the comprehensive signal analyzer, determining a simulation test result based on the user analysis result.

The application relates to the technical field of atomizer control, and discloses a child intelligent atomizer capable of quantitatively guiding a breathing mode and a control system, which comprises a user analysis unit used for receiving real-time breathing frequency and body temperature data of a user through a mobile terminal, comparing and analyzing the collected real-time breathing frequency and body temperature data of the user with a standard database, identifying the use condition of the user, and generating a control instruction; the application increases the interactive feeling through voice guidance, pacifies the emotion, guides the breathing, and makes the small children naturally calm down through music; the light prompts abnormal conditions, sets up the atmosphere, effectively reduces the fear of the children for treatment, compared with common atomizers, the application can prompt correct breathing modes, the medicine deposition effect is better, in addition, the music is self-defined, the childlike and lovely appearance is matched, the atomizer is more like a music toy, the attention of the children can be transferred from the discomfort of treatment, and the cooperation degree is improved.

The application discloses a big data warehouse intelligent analysis method and device, equipment and medium, the method comprises the following steps: in response to user analysis demand, and from the initial entry layer of the preset obtains the target resource positioning information corresponding to the user analysis demand; wherein, the initial entry layer is used for storing the resource positioning information of the big data warehouse; the current context is constructed according to the user analysis demand and target resource positioning information;Based on the preset demand coverage inspection strategy, check whether the current context meets the sufficiency condition of analyzing the user analysis demand to obtain the inspection result;If it is determined that the inspection result is a satisfaction result, then the current context is simplified according to the preset context management strategy, and the minimum effective context is obtained;Based on the minimum effective context, analysis reasoning is executed and analysis result is output.The application actively explores data, dynamically constructs the minimum effective context, and significantly improves the accuracy and efficiency of analyzing the big data warehouse.

This invention discloses an interactive graph visualization analysis method and system based on Ethereum big data. The method includes the following steps: constructing an Ethereum address information table and a transaction information table; constructing a backend microservice architecture to handle related business logic; using Vue, ElementUI, and Cytoscape.js to construct a front-end interactive visualization interface, which is divided into two parts: a menu module and a display module. The menu module is further divided into a Search module, a Legend module, a Display module, and a Filter module. The display module displays the visualization graphics, using the open-source control Cytoscape.js to render the requested Ethereum transaction data, making the transaction information table more intuitive. The interactive graph visualization analysis method based on Ethereum big data proposed in this invention extracts, reconstructs, and stores data according to business needs, develops a front-end page, and enables zooming, panning, and dragging of the visualization graphics to meet different user analysis perspectives. The visualization graphics generate right-click interactive menu items to satisfy users' interest in in-depth exploration.

The application discloses a high school counselor quality ability competition visualized practice platform and method. The high school counselor quality ability competition visualized practice platform comprises: a personalized scene matching module, which is used for generating a personalized case list according to user basic information; a man-machine interaction loading module, which is used for generating man-machine interaction information according to the personalized case list; a scoring module, which is used for obtaining feedback information for feedback according to the man-machine interaction information and generating scoring analysis information according to the feedback information; a behavior analysis and weak point identification module, which is used for generating user analysis information according to the scoring analysis information; and a rendering module, which is used for generating visualized information according to the scoring analysis information and the user analysis information. The application generates personalized cases according to user basic information, and realizes accurate adaptation of practice content.

This application relates to the fields of artificial intelligence and education technology, and in particular to a user-based intelligent teaching analysis method, device, and medium based on a large-scale user action graph model. The method includes: responding to the execution of a teaching task; acquiring and determining semantic anchors based on multimodal interaction data generated by the user; obtaining an aligned multimodal data stream based on the semantic anchors; acquiring a first feature set from the multimodal data stream and analyzing it to obtain a second feature set; determining dynamic weight coefficients and processing the second feature set to obtain a third feature set; constructing a user action graph topology based on the first, second, and third feature sets and calculating similarity; determining branch diagnosis results based on the similarity and the third feature set and generating action improvement suggestions; and associating the action improvement suggestions with the user action graph topology to generate a user analysis report. This application has the effect of improving the accuracy of user action diagnosis and enhancing the precision of teaching feedback during skills training.

Methods, apparatuses, system, devices, and computer program products for customized integrated entity analysis using an AI model are disclosed. In a particular embodiment, customized AI-powered analysis of an entity includes a controller creating a custom attribute for a user to analyze an entity and processing a first set of external data related to the created custom attribute and the entity including structured data and unstructured data retrieved from a first set of structured data sources and unstructured data sources. In this embodiment, the controller augments an AI model using the processed first set of external data and generates using the augmented AI model, one or more metrics for assessing the custom attribute in relation to the entity. The controller also presents to the user the generated one or more metrics for assessing the custom attribute in relation to the entity.

Embodiments of the present application provide a user account blocking method and device, electronic equipment and storage medium, and relate to the technical field of information processing. In the embodiments of the present application, the base station identifier and the mobile phone number of the base station currently accessed by the client are obtained, and the mobile phone number is blocked through HSS cluster verification. In the embodiments of the present application, the base station location information of the user real-time access is introduced when analyzing and judging whether it is a malicious user access, so as to ensure that the malicious user cannot replace the IP by switching the IP (proxy) and other means to bypass the malicious user analysis and disposal identifier. Correspondingly, in the embodiments of the present application, the base station location of the user real-time access is introduced in the stage of disposing the malicious user, which is efficient, safe and controllable, so that the malicious user cannot bypass the safe blocking.

This invention discloses a data processing method, apparatus, device, and storage medium. The method includes: acquiring at least two event data sequences generated by a target user in at least two business domains; extracting features from each event data sequence corresponding to each business domain to determine event feature information corresponding to each business domain, and performing information fusion to determine first fused feature information; performing cross-attention processing on pairwise event data belonging to different business domains to determine event-related feature information corresponding to each event data combination, and performing information fusion to determine second fused feature information; and determining target fused feature information based on the first and second fused feature information. Through the technical solution of this invention, coarse-grained fusion at the business domain level and fine-grained fusion at the event level can be combined, improving the data fusion effect between multiple business domains and thus improving the accuracy of user analysis.

This invention provides a method and system for visualizing medical data. The method includes: Step S1: acquiring medical data and simultaneously acquiring the user's initial viewing intent; Step S2: determining a first analysis strategy based on the initial viewing intent; Step S3: analyzing the medical data based on the first analysis strategy to obtain a first analysis result; Step S4: inputting the first analysis result into a preset visualization model for visualization display. This invention's method and system for visualizing medical data directly acquires the user's initial viewing intent, determines the first analysis strategy based on the initial viewing intent, and performs corresponding analysis on the medical data, eliminating the need for user analysis and improving convenience. Furthermore, directly inputting the analysis result into the visualization model for visualization display enhances intuitiveness.

This invention discloses a multi-table analysis method and apparatus, relating to the field of data analysis technology. The multi-table analysis method includes: constructing a semantic model for multiple data tables; upon receiving a user analysis request, parsing the user analysis request into a multi-indicator model based on the semantic model; splitting the multi-indicator model into multiple single-indicator models according to basic indicators, obtaining single-indicator models corresponding to each basic indicator; querying based on the single-indicator models corresponding to each basic indicator, obtaining query result sets corresponding to each basic indicator; and generating analysis results corresponding to the user analysis request based on the query result sets corresponding to each basic indicator. This invention eliminates the need to merge physical wide tables, instead performing multi-table join calculations on demand based on the semantic model. It boasts low maintenance costs and high flexibility, and for users, it eliminates the need for specialized technical knowledge, significantly lowering the barrier to entry.