12results about How to "Automate analysis" patented technology

The application discloses a simulation result optimization method and application in chip verification and relates to the technical field of chip development.The method comprises the following steps: starting simulation on a to-be-tested chip to generate a simulation file;forming a signal line group by grabbing the signal lines of relevant signals in the simulation file based on a specified RTL layer;packing the signal values in the signal line group to form a data packet, extracting a key data packet from the data packet, comparing the values of the signal lines in the key data packet with expected values, and / or comparing the combined logic among the multiple signal lines in the key data packet with expected signal line combined logic;and generating a key data verification result text file according to the comparison result.The application realizes automatic analysis and checking of the simulation result of the required signal within a set range, improves the simulation result checking efficiency, and reduces the labor and computing resource cost of simulation debugging.

The invention relates to the technical field of medical literature data processing and artificial intelligence, and discloses a random contrast test (RCT) bias risk automatic evaluation method and system, and the method comprises the steps: obtaining RCT literature data containing a text, a table and a flow chart, and a RoB2 evaluation problem set; a problem reconstruction module injected through medical knowledge; performing position decision and multi-modal coordination analysis on the RCT literature through a multi-modal document analysis module; the reconstructed evaluation problem and the analyzed context information are input into a multi-expert cooperation module, cooperative reasoning is performed through a multi-reasoning unit, results are fused through a decision unit, and item-level, field-level and overall bias risk evaluation results are generated. The invention also constructs bias risk entry level and domain level data sets for supporting the training and verification of the method. The system comprises a data acquisition module, a problem reconstruction module, a document analysis module and a collaborative evaluation module, all the modules work cooperatively, automatic evaluation of RoB2 whole-process bias risks is achieved, and the system can be applied to scenes such as evidence-based medical research, system evaluation and clinical research quality control.

The invention relates to the field of acquisition and transmission data analysis, in particular to an acquisition and transmission data comparative analysis method based on parameter real-time monitoring. The technical problems that in the prior art, most of collected and transmitted data comparative analysis methods depend on manual data analysis, lack intelligent data processing and exception recognition capabilities, lack advanced algorithm support, incomplete data models and limitation of system architecture, and consequently complex data analysis and processing tasks are difficult to complete automatically are solved; according to the technical scheme, the acquisition and transmission data comparative analysis method based on parameter real-time monitoring comprises the steps that a parameter threshold value and a standard range are set, comparative analysis is conducted on real-time data and historical data, and abnormal points and trend changes in the data are recognized; according to the method, the data is sorted and sorted according to the time sequence, the real-time data and the historical data are compared and analyzed, the influence of interference factors on the data is eliminated through an algorithm model, and the identified abnormal data and trend are analyzed to realize automatic analysis of the data.

The application discloses a source code pollution detection method, device and equipment and a storage medium. The source code to be detected is subjected to syntax analysis to generate an abstract syntax tree. The type of each node in the abstract syntax tree is determined, and an enhanced control flow graph corresponding to the source code is constructed according to the type of each node. The abstract syntax tree is subjected to sensitive pollution analysis to determine a sensitive data source. The pollution propagation path of the sensitive data source is tracked in the enhanced control flow graph to form a pollution propagation path graph. The pollution propagation path graph is matched with each vulnerability feature graph constructed in advance, a successfully matched vulnerability feature graph is determined, and the line number, pollution type, propagation path and corresponding segment of the pollution in the enhanced control flow graph of the pollution of the source code are determined according to the successfully matched vulnerability feature graph. The application makes the pollution positioning more fine-grained, improves the pollution detection precision in all directions, and is beneficial to user data, system and network security.

The application provides a target identification method and system suitable for military management, and relates to the field of automatic target identification; the method comprises the following steps: dividing a target identification grid template according to a three-dimensional entity model of a target identification area; acquiring standard remote sensing images corresponding to a plurality of time periods in a geographic information database and environment characteristics of each standard remote sensing image; for any target identification grid template, performing image fusion on the behavior characteristics and the standard remote sensing images according to the behavior characteristics of a target of interest, so as to obtain a template image of each target of interest; constructing a convolutional neural network model, performing model training and optimization according to the template image, and obtaining a target identification model; and identifying the target of interest according to the target identification model; the application divides the target identification area into grids, and uses the behavior characteristics of the target of interest to predict the behavior of the target, so as to use the predicted behavior as training data to train the model, and then realize high-accuracy identification of the target.

This invention relates to the field of mortar testing, specifically to a mortar consistency testing device for environmentally friendly mortar. It includes a lead screw slide with its output end fixed to a worktable. A cover is located beside the worktable, and a cone-shaped device coaxially and detachably holds the mortar. A vibration mechanism is located at the lower end of the cover. An infrared sensor is fixedly connected to the lead screw slide near the cover, and the infrared sensor is electrically connected to a controller. An electromagnet is fixedly connected to the lead screw slide below the sensor. A support is fixedly connected to the lead screw slide below the electromagnet, and an electric actuator is fixedly connected to the upper end of the support. A retaining ring is fixedly connected to the end of the support away from the lead screw slide, and a guide rod is coaxially connected to the retaining ring. A permanent magnet is fixedly connected to the upper end of the guide rod near the lead screw slide, and a cone-shaped device coaxially with the cone-shaped device is fixed to the lower end of the guide rod. During testing, the cone is filled with mortar and fixed coaxially with the cover cylinder. The vibration mechanism disperses the mortar. The screw slide and electric actuator adjust the position of the cone, and the electromagnet attracts the guide rod. After the power is cut off, the cone falls, the infrared sensor detects the displacement and transmits it to the controller to calculate the consistency, thus achieving accurate testing.

The application provides an optimization method of database index, a storage medium and an equipment. The optimization method comprises the following steps: collecting statistical information of total operations on data in a database running period; wherein the total operations comprise query operations and change operations, and the change operations comprise at least one of adding, deleting and modifying operations; matching indexes in the database with the statistical information, and taking the matched indexes as used indexes; calculating positive values brought by the used indexes according to the query operations of the used indexes; calculating negative values brought by the used indexes according to the change operations of the used indexes and / or occupied disk space; obtaining final values of the used indexes according to the positive values and the negative values; and optimizing the used indexes if the final values are less than a preset threshold. The low-value used indexes are accurately found and optimized to improve the performance of the database system.

This invention provides a method, apparatus, equipment, and medium for data security analysis of rail transit signaling systems, relating to the field of rail transit technology. The method includes: identifying the subsystems, interfaces, and peripheral systems to be analyzed within the rail transit signaling system; establishing a first correlation between the functions of the subsystems, interfaces, and peripheral systems, and establishing a second correlation between the functions of the subsystems, interfaces, and peripheral systems and the data of the subsystems and interfaces; identifying the top-level accident of the rail transit system, and establishing a third correlation between the top-level accident, pre-set guidance words for the top-level accident, and the functions of the subsystems; and performing data security analysis based on the first, second, and third correlations. This invention effectively realizes automated analysis of data security in rail transit signaling systems, improving the efficiency and accuracy of data security analysis.

This invention discloses an intelligent review method for the compliance of power safety supervision documents, relating to the field of power safety management technology. The method includes establishing a safety supervision knowledge base and an expert information database; collecting text data of power safety supervision documents and image data of power operation sites; extracting semantic features from the text and image features; employing a document risk identification model based on long short-term memory networks and attention mechanisms, and a site operation risk identification model based on rule-based reasoning technology to identify document violations and site violations; generating a list of supervision issues; and establishing a self-optimizing expert recommendation model based on reinforcement learning to output a list of recommended experts and a list of key supervision areas. This invention, by constructing a multi-model collaborative intelligent review method, achieves automated analysis of power safety supervision documents and site images, accurate location of violations, dynamic optimization and matching of expert resources, and proactive pre-emptive risk control, comprehensively improving the efficiency of supervision work.

The application provides an equalizer debugging method, device and equipment of a television and a storage medium. The first audio signal and the environmental noise signal are synchronously acquired when the television plays test audio, the first audio signal is subjected to fast Fourier transform to generate an actual frequency response curve, the environmental noise signal is subjected to spectral decomposition to identify a noise dominant frequency band and extract noise spectral features, a target frequency response curve matched with the actual frequency response curve is selected from a preset reference frequency response curve database on the basis, the amplitude deviation between the two is calculated, the amplitude deviation, the noise spectral features and a preset equalizer parameter optimization algorithm are combined to generate an equalizer parameter adjustment scheme, and thus the automatic analysis and intelligent calibration of the audio output characteristics of the television are realized. The application can make the audio output closer to ideal acoustic characteristics, thereby effectively improving the sound quality consistency and adaptability of the television in different use environments and improving the listening experience of users.

This application provides a method, apparatus, computer-readable medium, and electronic device for generating the chronological order of case facts. The method includes: acquiring at least one first case material; constructing a first prompt text based on the at least one first case material and a first preset prompt word; inputting the first prompt text into a first preset model to obtain main timeline information generated by the first preset model based on the first prompt text, the main timeline information including at least one event information arranged in chronological order, the event information including an event summary and time information corresponding to the event summary; and displaying the main timeline information on a page in a timeline format, the timeline including at least one node graphic arranged in sequence and text information of the event information corresponding to each node graphic. This application can help users efficiently, quickly, and intuitively grasp the factual information of a case, thereby improving work efficiency.

This invention proposes a marketing strategy evaluation method, apparatus, device, and medium based on traffic tags. The method includes: acquiring multiple target traffic streams generated based on a target marketing strategy, each target traffic stream carrying multiple marketing tags indicating statistical dimensions of the strategy; inputting the marketing tags and analysis requirement information recording multiple candidate levels into an NLP model to obtain a hierarchical set corresponding to each marketing tag, the hierarchical set including the target traffic corresponding to each candidate level; determining the target level of each marketing tag based on the hierarchical set and generating traffic tags for the target traffic; and determining the evaluation result of the target marketing strategy based on the traffic volume of the target traffic corresponding to each traffic tag. According to the technical solution of this invention, hierarchical standards can be dynamically identified based on an NLP model, traffic tags carrying target levels can be added to the target traffic, and evaluation results of the target marketing strategy can be automatically generated using the traffic tags.