30 results about "Graphical analysis" patented technology

The invention is suitable for the technical field of GPU testing, and provides a software and hardware combined GPU automatic testing method and system, which comprises a hardware platform and a software platform, and is characterized in that the software platform is used for setting a voltage source output voltage value, power-on time and power-off time of the hardware platform, obtaining current, voltage and temperature data fed back by the hardware platform, and sending the current, voltage and temperature data to the hardware platform; associating the data with the automatic test GPU performance, and establishing a GPU test fault case database; and the hardware platform is used for providing power for the GPU, controlling power-on and power-off of the GPU and a power supply voltage value of the GPU according to the setting of the software platform, reading real-time current, voltage and temperature data near a GPU pin and feeding back the real-time current, voltage and temperature data to the software platform. According to the method, automatic testing of the GPU is achieved in a software and hardware combination mode, data graphical analysis can be achieved, abnormal problems occurring in the testing process can be positioned by comparing analysis results, and the GPU detection efficiency is improved.

This invention discloses a psychological assessment system based on heart rate variability analysis, belonging to the field of medical data analysis and psychological assessment technology. It solves the problems of existing heart rate variability analysis being limited to physiological indicators and traditional psychological assessments lacking objective physiological support. The system is built on a B / S architecture, integrating two core modules: ECG data reception and recording, and graphical analysis reports. It collects raw ECG data via Bluetooth 4.0, automatically calculates core heart rate variability feature values ​​such as SDNN, LF, and HF, achieves hierarchical and quantitative assessment of heart rate variability, and generates integrated graphical reports. It also features dual-layer access control, encrypted data transmission, and backup and recovery functions. This invention achieves deep integration of physiological data and psychological assessment, improving the scientific rigor and accuracy of psychological assessments. The system is highly stable and adaptable, suitable for clinical psychological screening, employee psychological monitoring, and other scenarios. The corresponding product, "Heart Rate Variability Analysis Software," has obtained a Class II medical device registration certificate.

The disclosure provides a string-based graphical analysis method, which defines the hierarchy, layout direction, size ratio and state color of a graph by designing a nested string DSL, converts the string expression into standard structured data using an analysis engine, and finally dynamically generates a visual graph through a rendering engine; this method abstracts complex graph layout into dataable semantic templates, allowing users to quickly build and modify complex nested graphs in a minimalist text form, while relying on a color and state binding mechanism and standardized data output to achieve flexible definition, efficient parsing, dynamic rendering and real-time state updating of graph layout in server cluster monitoring, distributed system state display and other scenarios, effectively solving the problems of low development efficiency, high maintenance cost and lack of dynamics in traditional hard coding methods.

1. The name of the design product: sleep analysis graphical user interface of electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the content of the graphical user interface in the display screen panel. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the user interface of the product is the interactive interface of the smart sleep monitor applet. 6. The human-computer interaction mode of the graphical user interface: the display interface in the front view is the home page interface; the gray "data analysis" button below the front view can be clicked for interaction, and clicking the corresponding "data analysis" button switches to the interface of interface change state diagram 1 to display the sleep state statistical analysis interface of the day; the blue "sleep analysis" button above the interface change state diagram 1 can be clicked for interaction, and clicking the corresponding "sleep analysis" button switches to the interface of interface change state diagram 2 to enter the graphical analysis interface. 7. The "gray module" covering part in the figure is a variable figure, and the variable text is replaced by "X".

The invention relates to the technical field of concentration measurement, in particular to a concentration measurement method based on multiple standard addition and graphical analysis, which comprises the following steps: S1, measuring the fluorescence intensity reading F0 of a sample background and the volume V2 of the sample background; and S2, adding a fluorescence enhancer with the volume of V0 into the sample background. S3, measuring the fluorescence intensity reading F1 after the fluorescence enhancer is added into the sample; and calculating the fluorescence intensity F1-F0 generated by the sample. S4, a standard solution with the volume of V1 and the concentration of CD is added into the sample for the (N-1) th time, and N is an integer starting from 2 and is sequentially 2, 3, 4 to positive infinity. S5, measuring the fluorescence intensity reading FN of the sample after the standard solution is added; and calculating the sample concentration CSN according to a formula CSN = # imgabs0 # * # imgabs1 # * CD. And S6, repeating the steps S4 and S5, and recording to obtain the fluorescence intensity and the sample concentration of the sample after each operation. By adopting the technical scheme of the invention, the efficiency and accuracy of single sample measurement can be improved.

The invention relates to a DDR channel signal quality analysis result graphical method and device, a storage medium and a product. Comprising the steps of obtaining a log file of a target DDR channel; analyzing the log file to generate a digital eye diagram data set corresponding to each of the plurality of data signal lines; respectively converting each target character in the digital eye diagram data set corresponding to each data signal line into corresponding graphical data so as to obtain a graphical data set corresponding to each digital eye diagram data set; generating a signal quality analysis chart of each of the plurality of data signal lines according to the graphical data set of each of the plurality of data signal lines; and combining the signal quality analysis maps of each of the plurality of data signal lines to generate a quality analysis overview map corresponding to the target DDR channel. The signal quality analysis diagrams of a plurality of data signal lines can be displayed on a single interface at the same time.

The invention discloses an electromagnetic voltage transformer error optimization analysis method, which comprises the following steps of: 1, expressing PT (potential transformer) load error characteristics as a complex number, and expressing a load complex error vector distribution area by a complex error vector circle according to the load characteristics in a complex number rectangular coordinate system; step 2, carrying out intuitive graphical analysis on PT load error and synthetic error characteristics according to the complex error vector circle; and step 3, based on the error relation shown by the complex error vector circle diagram, adjusting the PT ratio error, the angle difference proportion and the polarity, so that the electric energy metering error caused by the PT error is minimum. According to the complex error vector circle graphic analysis method, the PT ratio error, the size of the angle difference and the positive and negative change rule can be visually displayed, the PT ratio error and angle difference ratio and polarity adjustment are achieved, therefore, the comprehensive error of a corresponding metering electric energy device is minimum, and fairness and justice of electric energy metering are achieved.

1. Name of the product in this design: Graphical user interface for analyzing the calculation results of multiple water inflow scheduling in a cascade hydropower station for electronic equipment. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key points: the front view. 5. Uses of the graphical user interface: Custom graphical analysis functions for calculation results of cascade hydropower station dispatching schemes under various water inflow conditions, etc. 6. Human-computer interaction method of graphical user interface: The main view is the custom graphics settings interface. Clicking "Get Data" in the upper right corner of the main view will take you to the interface change state diagram 1, which allows you to preview the graphic data. Clicking "Save" at the bottom right of the interface change state diagram 1 will take you to the interface change state diagram 2. This interface allows you to manage the graphics, including whether to display them, edit them, and delete them. Clicking on "Graphic Display" in the upper left corner of Interface Change Status Diagram 2 will take you to Interface Change Status Diagram 3, which displays the final data analysis graph. In the interface, "XXX" represents text, numbers, letters, or symbols.

The present invention provides a method for calculating the penetration expectation of an anti-ship missile based on an improved graphical analysis method, belonging to the technical field of anti-ship missile penetration auxiliary decision-making. The specific steps are as follows: 1) Determine the target elements of the anti-ship missile; 2) Determine the technical and tactical indexes of the surface ship electronic warfare system, ship-to-air missile weapon system, and shipborne artillery weapon system; 3) Establish a coordinate system with time as the horizontal axis and the distance between the anti-ship missile and the surface ship as the vertical axis, and draw the initial attack and defense situation diagram; 4) Sequentially draw the defense trajectory diagrams of the ship-to-air missile weapon system and the shipborne artillery weapon system for the hard anti-attack on the anti-ship missile; 5) Determine the number of times of the hard anti-attack of the ship-to-air missile weapon system and the shipborne artillery weapon system on the anti-ship missile, and calculate the penetration expectation of the anti-ship missile. The present invention extends the graphical analysis method to the field of anti-ship missile penetration auxiliary decision-making, provides a simple and intuitive calculation result of the penetration expectation for anti-ship missile penetration decision-making, and assists the commander in making on-the-spot decisions.

The invention discloses an intelligent entry, standardization and visualization system for fishery resource survey data, and relates to the technical field of data entry and standardization. According to the invention, a paper record PDF is generated through a paper record identification and signature verification module, and a person signature area is recorded through image identification. Through the intelligent error correction and data verification module, electronic data are automatically verified, input errors are reduced, typesetting reduction is integrated, an electronic edition document in a paper table style is generated, and data accuracy is ensured. Through the species image checking module, an image checking index is calculated and uploaded species photos are checked by utilizing a built-in fishery organism directory library, so that the species identification accuracy is ensured. Through the analysis report template generator, image-text analysis reports such as space-time distribution diagrams, histograms and scatter diagrams are automatically generated, and subsequent data comprehensive analysis is facilitated. Through the geographic information module, an ocean map is loaded, data position verification, screening, extraction and visual analysis are carried out, and data are exported according to needs.

Some implementations include a computer-implemented method for determining one or more subsurface properties from one or more graphical oil field logs created during oil field of one or more oil field operation. The computer-implemented method may include graphically analyzing the graphical oil field logs; determining one or more regions of interest in the graphical oil field logs; generating, based on the graphical analysis of the graphical oil field logs, a respective textual description for each respective region of interest in the graphical oil field logs; and determining, by a large language model (LLM), one or more lithologies for each respective region of interest based on the textual description for the respective region of interest.

Disclosed are a device (1) for graphical analysis of an impairment of a demodulated signal, and a corresponding process (2). The device comprises a communication interface (11) and a digital processing logic (12). The communication interface (11) is configured for receiving the demodulated signal including in-phase and quadrature, I / Q, symbols (13). The digital processing logic (12) is configured for populating a histogram (14) with a subset of the received I / Q symbols (13) relating to a nominal I / Q symbol (13N) of a graphical pixel-based I / Q symbol constellation (16) of the demodulated signal. The histogram (14) reflects a spread (15) of the subset of the I / Q symbols (13) in the I / Q symbol constellation (16). The spread (15) depends in direction on a type of the impairment and in magnitude on a strength of the impairment. The digital processing logic (12) is further configured for verifying a compliance of a statistical feature (18) of the histogram (14) with a threshold (19). This achieves a higher degree of automation, a higher probability of observing significant transmission errors, and more reliability and higher throughput of measurement.

An example method may include generating, by a computing device, a graph based on segmentation data representing a branch anatomy, the graph representing a plurality of possible paths to branches of the branch anatomy, the plurality of possible paths including a plurality of additional branches. The method may also include applying, by the computing device, a graphical analysis algorithm to the graph, where applying the graphical analysis algorithm includes, for a possible path of the plurality of possible paths to the branch, generating path probability values based on link affinity values to pairs of additional branches on the possible path of the branch. The method may also include classifying, by the computing device and based on applying a graphical analysis algorithm, the branches of the branch anatomy.

Some implementations include a computer-implemented method for determining one or more subsurface properties from one or more graphical oil field logs created during oil field of one or more oil field operation. The computer-implemented method may include graphically analyzing the graphical oil field logs; determining one or more regions of interest in the graphical oil field logs; generating, based on the graphical analysis of the graphical oil field logs, a respective textual description for each respective region of interest in the graphical oil field logs; and determining, by a large language model (LLM), one or more lithologies for each respective region of interest based on the textual description for the respective region of interest.

The present invention relates to the field of graphic analysis technology, and in particular to a method and system for establishing a lens recognition model. The method comprises the following steps: obtaining an original multi-source lens data set; performing data enhancement processing on the original multi-source lens data set to generate an original enhanced lens data set; performing data feature extraction on the original enhanced lens data set to generate original lens feature data; performing multi-dimensional cross-domain feature fusion on the original lens feature data to generate a multi-dimensional cross-domain fusion data set for the lens; performing integrated learning based on the multi-dimensional cross-domain fusion data set for the lens, and performing model construction to generate an integrated lens recognition model; therefore, the present invention solves the deficiencies of traditional lens recognition models in feature processing and accuracy through multi-source data enhancement, feature fusion and integrated learning strategies, and improves the accuracy, robustness and generalization ability of the recognition model.

1. Name of the product in this design: Viewing panoramic graphic analysis graphical user interface for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Electronic devices are designed in a conventional way, so other views are omitted. 6. Purpose of the graphical user interface: The product interface is an interactive interface for viewing panoramic graphical analysis; it is used for the overall viewing and monitoring of various themes and data pages through visual graphics and text displays. The content includes: overall situation of digital financing, government procurement loan module, daily disbursement scrolling screen display module, Chongqing Finance Credit module, and foreign trade loan module. Users can click on any module to view details; the gray area of ​​the interface is the content screen.

The invention provides an asynchronous mode system for executing graphic analysis in a fault-tolerant environment. The invention further discloses a system for randomizing trace approximation calculation based on an asynchronous calculation system structure. The system retrieves an adjacency matrix associated with the complex graph. The system determines a random vector based on the retrieved adjacency matrix. The system generates a matrix vector based on the adjacency matrix and the random vector. The system determines a first set of natural numbers based on a first dimension of the adjacency matrix. The system selects a subset of entries from the generated matrix vector based on the determined first set of natural numbers. The system determines a diagonal random matrix based on a sum of canonical outer products formed by the selected subset of entries. The system calculates a trace approximation of the adjacency matrix based on the determined diagonal random matrix and the selected subset of entries, and stores the calculated trace approximation of the adjacency matrix.

A computer apparatus and computer-implemented process for generating a batch record (BR) from a master batch record (MBR) during manufacture of a batch of pharmaceutical product. In the control software, a graphical analysis interface is provided for processing graphs of spectroscopic or chromatographic analysis. A group of fields in the MBR is assigned to the analysis. The operator wears an augmented reality headset and uses this to capture an image of a graph from an instrument display. The graph image is then processed to extract the graph and its metadata, and then further processed to find peaks and assign attribute labels to the peaks, and thus populate the analysis fields. Overlay images are then transmitted to AR headset to present to the operator the populated analysis fields. The operator then accepts or rejects the populated analysis fields by issuing user interface commands.

A chart analysis method, apparatus, medium, device, and product based on a large model, relating to large model technology and data analysis technology, is disclosed. The method includes: responding to a trigger operation on a dashboard page, determining a chart analysis template corresponding to the trigger operation; first content being associated with executable code for obtaining second content, the executable code being determined by the large model based on user input, the input indicating the analysis logic for a first data chart in at least one data chart; performing chart analysis on the first data chart by executing the executable code to obtain the second content; replacing the first content in the chart analysis template with the second content, and outputting the chart analysis content based on the replaced chart analysis template. By moving the large model processing to the template configuration stage, the large model avoids repetitive processing of the same logic, improving code reusability, chart analysis efficiency, and accuracy.

The invention relates to the technical field of automobile charging pile monitoring and early warning, in particular to an automobile charging pile monitoring and early warning management system and method.The automobile charging pile monitoring and early warning management system comprises an operation state monitoring module, an influence analysis module, an influence intensity analysis module, an early warning management module and a cloud database. Abnormal data frames are screened, an abnormal data sequence of parameter dimensions is formed, graphical analysis is facilitated, abnormal charging piles are judged, when the abnormal charging piles are detected, a topological model is constructed based on the electrical topological relation of abnormal sources and the charging piles, a trained machine learning model is utilized to predict the core result of the abnormal charging piles, and the core result of the abnormal charging piles is obtained. And the comprehensive risk value is calculated based on the swept core result, and grading early warning is performed, so that abnormity identification, swept prediction and quantitative risk intervention are realized, and the operation safety and management efficiency of the charging pile are improved.

The utility model relates to the technical field of concentration measurement, in particular to a trace uranium analyzer based on multiple times of standard addition and graphical analysis quality evaluation, which comprises a sample part, a detection part and a counting part, the sample part and the detection part can be connected in a relative movement manner; when a reagent needs to be added into the sample part, the sample part is moved to the outside of the detection part; after a reagent is added into the sample part, the sample part is moved into the detection part, and the fluorescence intensity of the sample part is detected through the detection part; a counting part is arranged on the sample part and is used for counting the number of times of movement of the sample part relative to the detection part. The counting part is arranged to automatically record the moving times of the sample part, and in combination with data processing of the control part, automatic monitoring and data analysis in the experiment process are realized, human errors are reduced, and the result accuracy is improved.

1. Name of the product of this design: Panoramic graphic analysis graphical user interface for electronic equipment. 2. Purpose of the product of this design: an electronic device. 3. The key design features of this design product are the part of the graphical user interface in the electronic device for which protection is sought. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base design. 6. Purpose of the graphical user interface: The product interface of Design 1‑2 is an interactive interface for viewing panoramic graphic analysis; it is used for global viewing of the distribution of capability themes and the proportion of capability themes in panoramic graphic analysis; in the main view of Design 1, after clicking the "Global View Bar Chart" button in the upper right corner, the Design 1 interface change status diagram is displayed; in the main view of Design 2, after clicking the "Global View Pie ​​Chart" button in the upper right corner, the Design 2 interface change status diagram is displayed; the gray area of ​​the interface is the content screen.

The present invention relates to the field of graphic analysis technology, and in particular to a method and system for establishing a lens recognition model. The method comprises the following steps: obtaining an original multi-source lens data set; performing data enhancement processing on the original multi-source lens data set to generate an original enhanced lens data set; performing data feature extraction on the original enhanced lens data set to generate original lens feature data; performing multi-dimensional cross-domain feature fusion on the original lens feature data to generate a multi-dimensional cross-domain fusion data set for the lens; performing integrated learning based on the multi-dimensional cross-domain fusion data set for the lens, and performing model construction to generate an integrated lens recognition model; therefore, the present invention solves the deficiencies of traditional lens recognition models in feature processing and accuracy through multi-source data enhancement, feature fusion and integrated learning strategies, and improves the accuracy, robustness and generalization ability of the recognition model.

The present invention belongs to the field of data processing technology, and specifically relates to a system and method for visually monitoring pollution sources in industrial parks. The method includes installing water quality monitoring sensors in each enterprise in the industrial park, monitoring key indicators related to water quality in real time, transmitting the water quality data to an identification module via a wireless network, identifying and processing error values ​​in the water quality data, normalizing the water quality data, classifying the water quality data, calculating a pollution score, setting a pollution level, determining whether the water quality data is abnormal, and if so, comparing the water quality data with the normal range of key indicators, identifying indicators that exceed the standard, and marking them on a GIS map. If there are no abnormalities, a prediction model is trained based on historical data to predict whether abnormalities will occur in the future. The visualization module displays the water quality data and geographic location on a GIS map, specifically marking abnormal data, and providing graphical analysis of historical data. The present invention can accurately monitor pollution sources in industrial parks.

1. Name of the Design Product: Graphical User Interface for Automatic Scanning and Image Analysis of Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photograph Best Showing the Design Key Points: Design 1 Interface Variation State Diagram. 5. Design 1 is designated as the basic design. 6. Use of the Graphical User Interface: The graphical user interface of this product is a configuration interface for automatic scanning and graphical analysis, used for real-time scanning and analysis of electronic devices. 7. Other Situations Requiring Explanation - Reference to Diagram Explanation: The main view of Design 1 is the startup interface. The user enters the Design 1 Interface Variation State Diagram by clicking the "Process" option in the main view of Design 1, presenting the subsequent analysis operation interface; the main view of Design 2 is the startup interface. The user enters the Design 2 Interface Variation State Diagram by clicking the "Report" option in Design 2, presenting the generated analysis report operation interface. 8. Other Situations Requiring Explanation - Other Explanation: In the Design 1 Interface Variation State Diagram and the Design 2 Interface Variation State Diagram, a single color block can be variable or the content screen.

This invention relates to the field of plant variety identification technology, specifically to a method for establishing a database for identifying *Castanea* varieties and a method for identifying *Castanea* varieties using the obtained database. This invention addresses the problems of variety confusion and inaccurate application in production caused by the high similarity of *Castanea* varieties. It involves quantitative and graphical analysis of the leaf morphology of *Castanea* varieties, extracting the main differentiating sites on the leaves of different *Castanea* varieties using geometric morphology measurement methods, establishing a variety identification database, achieving digital classification, and enabling accurate and rapid identification of *Castanea* varieties.

Disclosed are a device for graphical analysis of an impairment of a demodulated signal, and a corresponding process. The device comprises a communication interface and a digital processing logic. The communication interface is configured for receiving the demodulated signal including in-phase and quadrature, I / Q, symbols. The digital processing logic is configured for providing a graphical pixel-based mask defining an allowable spread of the received I / Q symbols in a graphical pixel-based I / Q symbol constellation of the demodulated signal. The allowable spread depends in direction on a type of the impairment and in magnitude on a strength of the impairment. The digital processing logic is further configured for verifying a compliance of the I / Q symbol constellation of the demodulated signal with the mask.

Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for generating interactive workflow graphical user interfaces. A computer-implemented method may include: accessing one or more data stores that store a configuration of a software application; determining, based on the configuration of the software application, that first one or more actions and first one or more data object types are associated with the software application; based at least on the first one or more actions and the first one or more data object types associated with the software application, generating an interactive graphical representation comprising a first node representing the software application, a first user interface element of the first node, and a second user interface element of the first node.

1. The name of the design product: electronic device viewing panoramic figure analysis figure user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the figure user interface. 4. The picture or photo that best indicates the design points: front view. 5. The electronic device is a conventional design, and other views are omitted. 6. The use of the figure user interface: the product interface is an interactive interface for viewing panoramic figure analysis; it is used for visualizing the distribution of each theme and the global view of the data page, and the five major blocks are: financial, digital finance, pension, green finance, and technology finance. Users can click on any block to view details.

This invention, pertaining to the field of railway systems, provides a method for constructing a particle multiscale coupling model. The method comprises: experimental data collection, construction of an original DEM model, three-dimensional graphical analysis, motion behavior analysis, parameter adjustment, construction of additional models, model fusion, and multiscale calibration. Through contact-scale tests, Los Angeles abrasion tests, single-piece ballast crushing tests, and unidirectional cyclic loading tests, the present invention enriches the model's parameters and improves simulation accuracy. Parameter optimization through laser scanning and particle image velocimetry techniques enables calibration of model parameters, reducing the deviation between model predictions and actual results.