77 results about "Visual comparison" patented technology

The invention discloses a traffic video question and answer method based on inter-frame difference, and the method comprises the steps: innovatively constructing an inter-frame difference extraction module on the basis of an image pre-training model based on the local abrupt change characteristic of a traffic video: effectively capturing the abrupt change characteristic of a moving target through the pixel-level difference calculation of adjacent frames; and designing a gating feature fusion mechanism, dynamically aligning spatial distribution of differential features and visual features on the basis of fusing problem features, and realizing collaborative characterization of static scenes and dynamic changes. In order to enhance cross-modal feature alignment, a hierarchical comparison learning strategy is provided: differential-visual feature comparison is implemented at a bottom layer to enhance local dynamic perception, and text-visual comparison is performed at a high layer to establish global semantic association. Experimental results show that the classification performance is improved on the basis of the SUTD-TrafficQA reference data set.

The invention discloses a medical aid decision-making system based on a multi-modal large model, and relates to the technical field of medical artificial intelligence, and the system comprises a multi-modal data fusion module, a treatment scheme coding and management module, a prognosis prediction model module, a scheme simulation and deduction module, and a visual comparison module. The comprehensive state vector of a patient and the action vector of a candidate treatment scheme are jointly calculated, multiple long-term prognosis indexes after the scheme is executed are directly simulated, the model converts the treatment scheme into a computable variable by learning rules in historical treatment data, probabilistic prediction is carried out on a future result, and the prediction accuracy is improved. This enables a doctor to clearly see the risk brought by different selections and the long-term influence of treatment changes before making a decision, thereby converting the decision mode from experience-based inference to future simulation-based anticipation.

The invention relates to the technical field of visual position recognition, and particularly discloses a multi-modal visual position recognition reordering method and system based on guidance, and the method comprises the steps: obtaining a query image, and retrieving a plurality of candidate images based on a pre-trained visual basic model and the query image; constructing a composite multi-modal prompt object, wherein the composite multi-modal prompt object comprises an image pair formed by the query image and the current candidate image, and an instruction text used for guiding a multi-modal large language model to perform visual comparison; outputting a structured similarity judgment result, wherein the result comprises a quantitative similarity score; and sorting based on the similarity scores corresponding to all the candidate images, and determining the candidate image with the highest score as an optimal matching result. Through combination of guiding type prompt engineering and structured output, an intermediate text generation link is avoided fundamentally, and the calculation efficiency is improved while the fidelity of all original visual information is reserved.

The invention provides a document information intelligent extraction and comparison method and system, and relates to the technical field of document intelligent processing analysis, and the method comprises the following steps: obtaining a comparison document and a to-be-compared document, and converting the comparison document and the to-be-compared document into PNG images; selecting a comparison area and a to-be-compared area, and preprocessing the PNG image to obtain a comparison area image and a to-be-compared area image; performing table recognition based on the comparison region image and the to-be-compared region image; according to the table recognition result, extracting a comparison text and a to-be-compared text; semantic understanding is carried out based on the comparison text and the to-be-compared text; and performing retrieval and text difference comparison according to the semantic understanding result to obtain row-level difference and character-level difference, and generating a visual comparison report based on the row-level difference and the character-level difference. The method can adapt to processing of multiple types of documents, is high in precision of complex table recognition and semantic understanding, supports analysis and comparison of specified areas or contents, and is visual in comparison result difference display.

The invention provides a real-time interaction-oriented index aperture unified processing method, computer equipment and a computer program product, and belongs to the technical field of artificial intelligence, and the method comprises the following steps: receiving and analyzing a dictation request of a user, and generating a structured context state vector; based on the context state vector, obtaining a plurality of candidate denominator calibers matched with the dictation request and a basis thereof from a calibers knowledge base; generating a constraint strategy set based on the context state vector, the candidate denominator caliber and the basis thereof; based on a constraint strategy set, performing consistency judgment through the candidate denominator calibers to determine a unique denominator caliber; based on the unique denominator caliber, generating an index description format final draft, and embedding a restriction rule for prohibiting visual comparison of inconsistent indexes into the index description format final draft; and rendering in a data visualization interface according to the index description format finalization and the restriction rule thereof, and intercepting and guiding the parallel display operation violating the restriction rule in real time.

This application provides a method, computer device, and computer program product for unified processing of indicator definitions for real-time interaction, belonging to the field of artificial intelligence technology. The method includes: receiving and parsing a user's verbal request and generating a structured contextual state vector; based on the contextual state vector, obtaining multiple candidate denominator definitions and their basis from a definition knowledge base that match the verbal request; generating a set of constraint strategies based on the contextual state vector, the candidate denominator definitions, and their basis; based on the set of constraint strategies, performing consistency adjudication through the candidate denominator definitions to determine a unique denominator definition; generating a finalized indicator description format based on the unique denominator definition, and embedding a restriction rule for prohibiting the visual comparison of inconsistent indicators into the finalized indicator description format; rendering the finalized indicator description format and its restriction rule on a data visualization interface, and intercepting and guiding parallel display operations that violate the restriction rule in real time.

The invention discloses a crack image segmentation method based on a bidirectional structure sensing cascade network. The crack image segmentation method comprises the steps of performing preprocessing based on a collected crack image; performing block processing and position coding on a crack image in the preprocessed data to obtain coded image data; obtaining a BiScaNet network model based on a mixed objective function combining binary cross entropy loss and Dice loss; after feature extraction is carried out on the coded image data, fusion and decoding are carried out on features of different scales, and a pixel-level segmentation image is generated; and carrying out an ablation experiment and outputting evaluation indexes, and carrying out visual comparison on the pixel-level segmentation image and segmentation images of other models. According to the invention, the scanning strategy in the Mama architecture is improved, and the BiSS module is provided, so that the modeling capability of crack multi-direction extension and complex topological structures is remarkably enhanced.

The utility model relates to a flowmeter display platform, which belongs to the technical field of flowmeter display and comprises a display rack, a display groove is arranged in the display rack, a water pipeline is fixedly mounted in the display groove, different flowmeter bodies are fixedly mounted at different positions of the water pipeline, and the number of the flowmeter bodies is nine. Wherein the four flow meter bodies are connected in parallel, a water valve is installed on one side of each flow meter body connected in parallel, a water tank a is embedded in the display rack and located on the left side of the display groove, and a water tank b is embedded in the display rack and located on the right side of the display groove. The beneficial effects of the utility model lie in that the flow can be controlled by adjusting the water valve, and then the reading change of the flow meter body can be observed, and in the exhibition item, various flow meter bodies are displayed together to form mutual reference and comparison, so that audiences can understand the working principles of different flow meter bodies in a visual comparison mode, and the working efficiency is improved. And an interaction mode of adjusting the flow of the water pipeline is integrated to attract audiences.

The invention relates to the technical field of front-end development, and discloses a page exception judgment method and device, equipment, a medium and a program product, document object model nodes and document object model elements of a target page are obtained, and a target node is screened out from the document object model nodes according to business data corresponding to the target page; performing structural feature analysis on the target nodes according to a preset measurement index to obtain a structural feature analysis result, and performing semantic analysis on the document object model element in each target node to obtain a semantic analysis result; and determining whether the target page is abnormal or not based on the structural feature analysis result and / or the semantic analysis result. Structural feature analysis is performed on the target node so as to capture the structural distortion problem caused by compatibility, dynamic loading or rendering errors, and the limitation that visual comparison lags behind and is easily influenced by UI iteration is broken through; and semantic analysis is performed on the DOM elements in the nodes, so that the defects of narrow attribute monitoring range and low accuracy are overcome.

The invention relates to a portable automobile window film haze testing device which comprises a shell, a lampshade and glass, a groove and a hole are formed in the shell, a support is further arranged on the lower portion of the shell and fixedly connected with the shell, and a cabin is arranged in the shell; the lampshade is provided with a socket hole, a button and an LED lamp, the socket hole, the button and the LED lamp are electrically connected, and extinction velvet is arranged in the cabin body. The test cost can be reduced, the customer experience can be improved, real vehicle use environment simulation is adopted, the test result is closer to actual use, the vehicle owner can understand the test result more easily, the persuasion of the window film performance is enhanced through visual comparison, and the situation that the definition is affected and then the safety is affected due to the haze effect of the vehicle window film is reduced.

The invention relates to the technical field of intelligent manufacturing, in particular to an intelligent manufacturing unit-oriented integrated industrial robot control system, which comprises an integrated control center, an initial interaction module, a task scheduling module, a dynamic collaboration module, a collaboration presentation module and an early warning response module, according to the method, identification, matching and testing of robot communication protocols are automatically completed, the equipment access time is remarkably shortened, meanwhile, it is ensured that all robots can stably complete data interaction, system access dead angles caused by protocol incompatibility are avoided, candidate equipment is screened based on production task requirements and the real-time states of the robots, and the production efficiency is improved. Meanwhile, the task execution error probability is reduced through multi-dimensional comprehensive evaluation and in combination with a load capacity deep screening robot, in addition, in the material grabbing link, center deviation is judged through visual comparison, re-grabbing or abnormal early warning is automatically triggered, production stagnation caused by material grabbing errors is reduced, along with reasonable path planning, the production efficiency is improved, and the production cost is reduced. And the robot driving path safety is ensured.

The present invention discloses a non-contact pen-holding posture calibration method and system based on horizontal and vertical stroke decomposition, which belongs to the field of wireless perception and human-computer interaction. The present invention obtains channel state information through a universal WiFi network card device, realizes stroke segmentation and amplitude data analysis through time-frequency analysis and mutation point detection; utilizes adversarial learning to extract position robust features, and performs pen-holding posture recognition through a bidirectional long short-term memory network model enhanced by an attention mechanism; adopts horizontal and vertical probability weighted calculation to calculate the similarity with the standard posture library, and when the similarity is lower than the threshold, triggers a sound warning and generates a visual comparison calibration suggestion. The present invention can overcome the influence of different handwriting positions and differentiated handwriting contents, realizes accurate recognition and real-time feedback of non-contact pen-holding posture, and has the advantages of strong position robustness and universal applicability.

A whole building or campus entity, energy management and energy control optimization, data presentation and visualization dashboard system including a computer processor service provider system, wherein the computer processor service provider system comprises a cloud-based computer processor service provider system comprising: at least one application server comprising the whole building or campus entity, energy management and energy control optimization system executing in the cloud-based computer processor service provider system; and an onsite energy controller coupled to the cloud-based computer processor service provider system by an electronic communications network; wherein said onsite energy controller comprises: at least one electronic computer processor; and at least one electronic computer memory coupled to said at least one electronic computer processor; wherein said at least one electronic computer processor of said onsite energy controller is configured to: reduce energy and demand costs through whole building or campus entity energy management of a building or campus entity load including by being configured to at least one or more of: optimize energy usage; optimize energy generation; maximize demand reduction and utility savings through optimal control of: the energy usage, and the energy generation, or reduce energy costs; and use of at least one energy storage system device; simulate said building or campus entity load by use of at least one or more of: predictive analytics; or receive user inputs of an event schedule that impacts said building or campus entity load; perform optimization at the start of the billing cycle to establish a demand reduction target achievable with the at least one energy storage system device implemented; set a periodic schedule for discharge of the at least one energy storage system device and allocate a portion of energy storage capacity to a reserve to be used in the event of volatility in said building or campus entity load; determine whether there is unused capacity of the at least one energy storage system device at an end of a period, and responsive to the determination, redistribute any of the unused capacity to a remaining period of the periodic schedule; and reset the demand reduction target for each time-of-use period to what was achieved in the previous period for the same billing period; and wherein said at least one electronic computer processor of said onsite energy controller is configured to: display output interactively via an electronic dashboard graphical user interface (GUI) comprising at least one GUI element enabling interactive user receipt of input and provision of output relating to at least one or more of the following: a heat map; a financial energy savings calculation; a color coding of energy production depicting at least one or more of: actual energy production, weather normalized energy production, or predicted energy production; or a color coding of energy usage performance based upon an automatically calculated comparison of expected energy production to actual energy production; a color coded representation of monetization comprising at least one or more of: multi-colored lines on a graphically displayed chart metaphor GUI element; or multiple revenue streams; visual comparison of data between different time periods; or artificial intelligence (AI)-enabled data showing at least one or more of: anticipated production data or anticipated consumption data.

The invention discloses a monitoring carrier and a method for monitoring laser energy stability, the monitoring carrier comprising: a core layer; a first copper foil disposed on the core layer; and a second copper foil disposed at the bottom of the core layer, wherein at least one characteristic structure for simulating a non-uniform material structure of the printed circuit board is pre-embedded in the core layer. According to the monitoring carrier and the method for monitoring the laser energy stability, by establishing a benchmark standard atlas database based on destructive physical analysis and implementing periodic visual comparison diagnosis, tiny attenuation of the laser process capability in the aspects of material interface treatment, depth control, heterogeneous material processing and the like can be directly and effectively found.

The invention relates to an ARD construction method based on GF-1 / WFV and HLS, and aims to solve the problem that the existing analysis ready data (ARD) HLS time resolution is difficult to meet high-frequency monitoring and multi-cloud scene application requirements. The method comprises the following steps: fusing GF-1 / WFV data with HLS data based on a deep learning conditional generative adversarial network (cGAN); carrying out atmospheric correction on the GF-1 / WFV image based on a 6S model, carrying out cloud and shadow masking by adopting an automatic multi-scale feature combination (MFC) technology, carrying out geographical correction by adopting an AROP technology, and carrying out resampling to 30 meters to match the HLS data resolution; bRDF normalization and sensor band-pass adjustment are carried out through cGAN, spectral difference between GF-1 / WFV and HLS data is effectively reduced, and the effect is good through verification of multiple quality evaluation indexes such as SSIM, MBE, RMSD, Sobel filter, histogram and visual comparison and the like. According to the method, the time resolution of the fused and expanded HLSG data set is improved to 1.5 days, the ARD data availability is improved, and the method is suitable for application scenes of high-frequency monitoring and has wide popularization and application values.

This application relates to a parking space comparison method, system, device, electronic device, and storage medium. The parking space comparison method includes: acquiring a parking space comparison request sent by a terminal, the parking space comparison request including the numbering information of multiple parking spaces to be compared; acquiring comprehensive information of the multiple parking spaces to be compared based on the numbering information of the multiple parking spaces to be compared; the comprehensive information of the parking spaces to be compared includes image information of the parking spaces to be compared in a 3D garage model; and sending the comprehensive information of the multiple parking spaces to be compared to the terminal so that the terminal can display and compare the comprehensive information of the multiple parking spaces to be compared. In this application, based on the numbering information of the multiple parking spaces to be compared in the acquired parking space comparison request, the comprehensive information of the multiple parking spaces to be compared is acquired and sent to the terminal so that the terminal can display and compare the comprehensive information of the multiple parking spaces to be compared, thereby realizing a visual comparison of the multiple parking spaces to be compared, reducing the complexity of parking space information comparison, and improving the user experience.

The invention provides a diamond crystal orientation calibrating and positioning device which comprises a bearing seat, a pressing mechanism and an image collector. The bearing seat is used for bearing the diamond which is preliminarily bonded with the bonding piece; the image collector is opposite to the bearing seat, electrically connected with the display terminal and capable of transmitting real-time images of the diamond, the display terminal is provided with the real-time images and a virtual datum line used for comparing a crystal orientation reference line on the diamond, and an operator manually adjusts the direction of the diamond according to the real-time images and enables the crystal orientation reference line to be parallel to the virtual datum line; the pressing mechanism is located above the bearing seat and presses downwards when the crystal orientation reference line is parallel to the virtual datum line to fasten the diamond and the bonding piece. The device integrates a visual comparison function and a pressing function, realizes pressing while watching, completes positioning and fixing at one time, avoids pressing deviation, improves the calibration precision and the product yield, and does not seriously depend on operator experience and naked eye judgment.

The invention discloses a visualized comparison and selection model for a plate buckle frame supporting scheme and a use method, and the model comprises an input data modularization module, a self-weight calculation module, a bearing capacity calculation module, and a comparison and selection scheme thermodynamic diagram drawing module. The input data modularization module is used for forming a vertical rod interval combination, a step combination and an erection height on the basis of inputting range parameter data corresponding to the erection height, the standard step, the top layer step, the transverse interval and the longitudinal interval, and sequencing according to interval increment; the self-weight calculation module is used for carrying out accumulative calculation on the weights of the corresponding rod pieces in all the combined working conditions; the bearing capacity calculation module is used for calculating and obtaining bearing capacity data of the ring lock frame under all working conditions; the comparison and selection scheme thermodynamic diagram drawing module is used for drawing and outputting a thermodynamic diagram with the vertical rod interval combination as the longitudinal axis, the step pitch combination as the transverse axis and the color gradation corresponding to the bearing capacity data as the filling color. The problem that different structures corresponding to different supporting schemes of the disc buckle frame are inconvenient is solved.

The invention belongs to the technical field of spaceflight part surface quality detection, and particularly discloses a spaceflight scratch / tool mark depth rapid measuring device which comprises at least one comparison test block used for conducting visual comparison with the surface of a detected metal part, and the base material of the comparison test block is the same as the metal material of the detected metal part; a plurality of standard depth defects are sequentially processed on the comparison test block along the length direction, and identifiers for indicating the depth values of the standard depth defects are also arranged on the comparison test block. According to the method, standard scratches or steps with different depths are machined in advance, the defect depth can be judged only through visual comparison under the unified illumination and observation conditions during detection, and compared with a traditional optical microscopy, laser measurement or contact pin type contourgraph method, the detection efficiency is remarkably improved; the invention further discloses a measuring method, the reliability of judgment is improved, and the method has good adaptability to scratches and tool marks of different materials, different roughness and different types.

The invention discloses a high-resolution reconstruction method fusing multi-scale prior guidance information, which adopts a step-by-step guidance strategy, creatively generates an approximate expression of a high-resolution image as prompt information in prior, prompts an original reconstruction process, realizes a dynamically adjusted enhancement strategy, and effectively improves the recovery capability of high-frequency information (local details). Experiments are carried out on five standard data sets of Set5, Set14, BSD100, Urban100 and Manga109, results show that the performance is remarkably improved under conventional magnification factors (* 2, * 3 and * 4), meanwhile, the performance is still excellent under larger magnification factors (* 8), and it is shown that the method is very high in robustness. Through visual comparison, a local attribution map (LAM) and effective receptive field (ERF) analysis, the effectiveness of the method in the aspects of expanding the context sensing range of the model and enhancing the relevance of a long-distance region is further verified.

This invention discloses a schedule delay early warning and correction system and method based on project management data, belonging to the field of engineering project management technology. The system includes: a schedule planning and data management module for establishing and associating structured schedule plans with multi-dimensional data; a schedule monitoring and event triggering module for real-time monitoring and generating delay events when deviations exceed thresholds; a multi-dimensional impact coupling analysis engine for synchronously propagating schedule delay events, quantifying costs, and assessing risks, and outputting a comprehensive report; and an intelligent deduction and decision-making module for correction schemes, automatically generating multiple correction schemes based on the report and performing simulations, using visual comparisons to assist decision-making. This invention achieves multi-dimensional automatic coupling analysis and intelligent decision support for schedule, cost, and risk, forming a complete closed loop from early warning and analysis to scheme optimization, significantly improving the initiative and scientific nature of project management.

The application discloses an aerosol generating article and a device used in cooperation with the aerosol generating article. The aerosol generating article is provided with a trigger part. The aerosol generating device comprises a recognition unit. The recognition unit comprises a moving assembly movable between a first position and a second position and a recognition element. The recognition element can recognize whether the moving assembly is in the first position or in the second position. When the aerosol generating article is received in the aerosol generating device, the trigger part makes the moving assembly in a preset position. At this time, the recognition element outputs a recognition signal to make the aerosol generating device heat the aerosol generating article. The preset position is the first position or the second position. Compared with the existing optical recognition or handheld external device recognition, the scheme adopts mechanical movement to trigger the recognition element, does not involve complicated visual comparison or external equipment, is simple to recognize, and reduces the cost of the device.

The images represented in the image diagrams are interactive graphical user interfaces (GUIs) that visually convey information to a user related to systems for (i) creating and / or modifying and / or analyzing unit operations and data generated therefrom in manufacturing processes, such as cell and gene therapy manufacturing processes, (ii) combining live data from databases with textual information, and (iii) interactive analysis of data (e.g., patient data visualization systems) and analysis of data related to manufacturing processes. (A. Graph-Based Visualization and Interactive Data Views for Pharmaceutical Manufacturing Process Data Reconciliation) For example, in certain embodiments, the images represented in the image diagrams are associated with graph-based visualization tools that enable a user to analyze data related to one or more experiments and / or manufacturing processes used to produce pharmaceutical products and / or variations thereof. In particular, the images for graph-based visualization and data analysis GUI tools represented in the image diagrams can be used in association with GUIs that enable a user to automatically and / or semi-automatically (e.g., in conjunction with user review and / or input) generate visualizations that facilitate the examination of experiments and / or manufacturing processes and reconcile data generated across multiple processes and / or process runs. For example, among other things, the interactive graph-based visualization tools and their images may be provided (e.g., rendered) individually or together via one or more GUIs or windows, sub-windows, panels, etc. Comparing and Reconciling Multiple Processes In certain embodiments, the images represented in the pictorial diagrams are used as GUIs that provide graph-based visualization tools that provide comparison and / or reconciliation of data from multiple experiments and / or manufacturing processes, e.g., in an automated and / or semi-automated manner (e.g., in conjunction with user interactions such as review and selection actions). Among other things, the images represented in the pictorial diagrams include designs that overlay multiple graph processes, structurally compare them, and reconcile them based on data points.For example, images presented in pictorial diagrams may provide rendering data, missing data, or anomalies created by process comparison and reconciliation tools that (e.g., automatically) identify and address discrepancies and can be used to generate harmonized data sets for further analysis, such as mathematical modeling. Thus, among other things, the graph-based visualization tools provided in images presented in pictorial diagrams address the challenges presented by unreconciled data across multiple experiments and / or manufacturing processes and / or within a single process that may be run under varying conditions. Achieving automated reconciliation of such data is a significant challenge that, if not addressed, hinders effective and accurate analysis, which, in turn, can dramatically impact a user's and / or organization's ability to optimize and / or maintain manufacturing process quality and / or develop new processes. Among other things, graph-based visualizations and the images presented in pictorial diagrams may aid in adjusting sampling points to maximize overlay for effective comparison and / or, in certain embodiments, identify overlapping points in existing data for effective real-time analysis. In some embodiments, structural differences between different processes indicate variations in conditions (e.g., temperature, duration, chemical concentrations), as well as the sequence and / or presence of certain steps. While unit operations (basic steps or stages in a process) may be generally similar to other processes, unique conditions and / or sequences can greatly affect the outcome, or the nature of the product or result. Thus, images presented in pictorial diagrams that provide visual display tools can be extremely valuable in process optimization, troubleshooting, and ensuring that a process meets desired specifications.For example, changing the device performing a unit operation and / or certain parameter values ​​within the unit operation (e.g., rotation speed, total volume, duration, etc.) can have a significant impact on the quality, recovery, efficacy, etc. of the output of that unit operation, which in turn can affect characteristics such as the biological / potency of the product, and additionally or alternatively, factors such as the cost of production, the number of doses produced per manufacturing run, and the like. Thus, among other things, images represented in pictorial diagrams can be associated with and provided as GUIs that present generated data, such as automatically generated data (e.g., using ontologies), to help identify commonalities and / or differences between studies and facilitate analysis to determine, for example, whether device or parameter changes have significant impacts. Among other things, graph-based visualization tools represented in pictorial diagrams, as described herein, provide users with visual representations of one or more manufacturing processes via a graph-based approach that easily communicates and highlights differences in conditions and unit operation, as well as their nature. For example, images represented in pictorial diagrams can include visual features that highlight unadjusted data points. This approach facilitates the identification and correction of data reconciliation issues, thereby streamlining data analysis for research and process development conducted in the creation and production of pharmaceuticals, such as cell-based therapeutics and biologic drugs. (i. Process Graph with Interactive Nodes) The image diagram shows an example of a graph-based visualization of a manufacturing process. As shown in the image diagram, a manufacturing process can be represented and displayed via a process graph. Each node in the process graph represents a data point corresponding to a unit operation in the particular manufacturing process that it (e.g., the process graph) represents. The node may include information about the current data state and content (e.g., in real time) of the data point that it represents.Within a graph-based visualization, nodes can be dynamic, such that, for example, user interaction with a particular node (e.g., mouse hover, click, touchscreen tap, or long press) triggers the display of a tooltip indicating the current data state of the displayed data point, including data collected at various stages of the manufacturing process. Process graphs can be rendered and used for experimental design and process execution to visualize and track different stages of a real-time experiment, outlining complex manufacturing experiments spanning multiple days of manufacturing procedures. Experimental Overview: In one embodiment, a graph is displayed as an experiment overview, providing a high-level overview of the experiment, including the process steps and (e.g., approximate) order in which they were performed, the dates specific process steps were performed, how the process steps relate to each other (e.g., the top half of FIG. 1A ), and an overview of the various states / arms evaluated during the experiment and how those states relate to each other (e.g., the bottom half of FIG. 1A ). Timeline: In one embodiment, a process graph can include a timeline, displaying multiple time points, such as the days in which a specific experiment or manufacturing process represented by the graph was performed. A timeline may be displayed along the horizontal axis, with labeled circular icons used to visually represent individual time points (running days 1 through 21). Other ways of visually representing the timeline may be used, such as along the vertical axis and / or using icons of other shapes, other units (e.g., hours, weeks, etc.). Process Unit Operations In some embodiments, a process graph may visually identify individual process unit operations performed during the manufacturing process. Individual process unit operations may be displayed, for example, via a combination of text labels and icons, or markings that convey the particular unit operations performed and, optionally, the times at which they are performed, and / or their (e.g., temporal) relationship with respect to other unit operations.For example, a graph-based visualization may include a series of text labels along the top row (of nodes) identifying various unit operations such as "Material Preparation," "Start-Up," "Transduction," and "Compounding." In some embodiments, for example, the text labels also include a numerical component, identifying the specific day on which each unit operation is performed, and the text labels are arranged sequentially from left to right along the horizontal axis to mark the order of operations over time. Vertical dotted lines extending downward from each text label provide a visual guide for the planned schedule for each unit operation and / or a temporal mapping of the manufacturing process. (Data Points (Nodes)) Data points in the manufacturing process associated with a particular unit operation and from which relevant information (measurements and / or recorded observations) is collected are displayed via nodes. Nodes may be rendered as icons, such as filled circles. Each circle is a node and is positioned to visually align with a particular unit operation; that is, it is located on a vertical dotted line extending downward from a text label identifying a particular unit operation, thereby identifying a data point related to that particular unit operation. (Connectivity) In some embodiments, a process graph may display the dependency or sequence of material and / or data flow from one unit operation to another through rendered connections between various nodes. For example, node connectivity may be rendered as lines connecting nodes across a timeline. (Data Connection Points) Distinct points along the process where data is collected are marked, such as important checkpoints for quality control or measurements required for process evaluation. (Arms) In some embodiments, a process graph may include and / or display one or more (e.g., separate) arms, each representing different experimental conditions and / or baseline process variations. For example, arms are rendered as various smaller graphs positioned below the timeline. Each line in the arms section indicates a different arm / condition as defined by the operator.Labels are provided to help clarify the focus of these steps and / or to distinguish and identify nodes as belonging to one condition, so that corresponding data collected from the laboratory are placed in the correct node and we do not mix data across conditions. In this case, the base process may be the step that follows a standard or control process, while other processes are steps that make experimental changes to that process or supplement the base process (e.g., making media, preparing materials, etc.). (Baseline Process and Base Process Graph) A baseline process may be a control and / or standard procedure and may be rendered as a base process graph. Text labels, color schemes, icon styles, positioning, and the like may be used to visually identify the baseline process, such as in a graph-based visualization. For example, the baseline process is identified and displayed as a node line directly below the timeline. In a process graph, the baseline process may be the standard process against which other variations are compared. Variations and Outputs / Endpoints: In certain embodiments, a graph-based visualization may include one or more auxiliary subgraphs, each corresponding to and representing variations to experimental conditions and / or baseline versions of a manufacturing process. Additionally or alternatively, different process endpoints and / or outputs may also be displayed (e.g., via endpoint graphs). Process graphs thus facilitate visualizing and managing complex manufacturing processes. Among other things, they enable researchers to track experimental progress, compare different conditions or variations side-by-side, and ensure that data is systematically collected at specified points throughout the process. The ability to visualize the entire process in this manner helps identify bottlenecks, ensure consistency, and facilitate data-driven decision-making. iii. Comparing and Tuning Multiple Processes: In certain embodiments, a graph-based visualization tool provides a GUI that offers techniques for the automated comparison and tuning of multiple manufacturing processes.Among other things, they visually communicate and compare multiple manufacturing processes in a manner that facilitates understanding the interactions between different manufacturing processes or the same process under different conditions. The pictorial illustration shows an example of comparing multiple manufacturing processes. The pictorial illustration shows multiple (three) overlaid and coordinated process graphs, each displaying a similar sequence of unit operations across a daily timeline. These multiple process graphs may display different experimental runs and / or batches in the manufacturing process. In the image depicted in the pictorial illustration, each graph may display the sequence of unit operations across a daily timeline. These graphs may display different experimental runs or batches in the manufacturing process, allowing for easy comparison and analysis of these separate activities over the same period of time. Comparing multiple graphs in this manner allows a user to, among other things: (i) identify patterns and trends. In some embodiments, overlaying graphs allows a user to easily discern general trends or patterns across different data sets or time periods. (ii) assess consistency and variability. In some embodiments, comparing graphs assesses the consistency of a process or experiment and helps identify any variability or anomalies. (iii) benchmark performance. In some embodiments, graphs can be used to display different batches or experimental runs, allowing a user to compare them and determine which performs better for a certain metric. (iv) Understanding Relationships. In some embodiments, seeing how different variables interact over time can help understand the relationships between them. (v) Making Informed Decisions. In some embodiments, the clear comparisons facilitated through the tool make it easier to make decisions based on empirical data, such as improving a process or replicating a successful experiment. In particular, images depicted in pictorial diagrams provide users with a visual display that facilitates process comparison by overlaying multiple graphs and providing visual cues based on and displaying comparative analysis of their structures and data points.For example, overlaying multiple graphs allows for direct visual comparison of different experimental runs or process batches. In certain embodiments, differences or similarities between one or more processes may be identified (e.g., automatically) and visually highlighted, e.g., as shown in a pictorial diagram. For example, if one process deviates in a unit operation, the process comparison and adjustment tools described herein may detect and flag this variation, e.g., via variations in the type, size, color, etc. of icons used to display nodes. For example, in the image depicted in the pictorial diagram, the process variation is flagged as an enlarged, color-coded (orange) circle.

The application discloses a kind of amoxicillin solubility visual detection methods based on quantitative color scale, specifically related to drug detection field, the present application aims at solving the problems of large standard gradient interval, unstable color development and lack of correction in the existing visual comparison method, method includes: with 0.2M potassium dihydrogen phosphate solution as solvent, preparation amoxicillin saturated solution;Linear regression equation is established, by precisely preparing 9 concentration gradient amoxicillin standard solution, after adding copper sulfate solution, form stable yellow-green turbidity gradient, and draw linear regression equation with absorbance value;Sample determination, the sample liquid is compared with standard gradient and turbidimetric analysis is carried out, the concentration is determined, and the solubility is calculated by combining dilution multiple, the present application converts visual estimation into accurate quantification by high-density gradient standard and linear regression model, significantly reduces matching error, improves anti-interference ability and accuracy, and is suitable for rapid detection in drug research and development and quality control.

The invention discloses a non-contact pen holding posture calibration method and system based on horizontal and longitudinal stroke decomposition, and belongs to the field of wireless sensing and human-computer interaction. According to the method, channel state information is acquired through universal WiFi network card equipment, and stroke segmentation and amplitude data analysis are realized through time-frequency analysis and mutation point detection; extracting position robust features by using adversarial learning, and performing pen holding posture recognition through a bidirectional long-short term memory network model enhanced by an attention mechanism; and calculating the similarity with a standard posture library by adopting transverse and longitudinal probability weighting, and when the similarity is lower than a threshold value, triggering sound early warning and generating a visual comparison calibration suggestion. The method can overcome the influence caused by different handwriting positions and differentiated handwriting contents, realizes the accurate recognition and real-time feedback of the non-contact pen holding posture, and has the advantages of high position robustness, universal scene applicability and the like.

The invention discloses a visualization method and system for pull-up motion correction, and belongs to the technical field of computer vision, and the method comprises the steps: obtaining a human body posture image frame of a target performing a pull-up motion; inputting the human body posture image frame into a preset human body posture estimation model to obtain a coordinate data sequence of human body skeleton points when the target moves; processing the coordinate data sequence of the human skeleton points when the target moves according to a preset correction rule to obtain a corrected coordinate data sequence of the human skeleton points; and based on the corrected coordinate data sequence of the human skeleton points, driving the virtual model to execute a pull-up action, and performing visual comparison with an action corresponding to the coordinate data sequence of the human skeleton points when the target moves before correction. According to the scheme, the motion difference before and after correction can be visually displayed, and visual feedback is provided for a practicer to understand the motion deviation and perceive the correction effect.

Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive a uniform resource locator (URL). The computing platform may parse and / or tokenize the URL to reduce the URL into a plurality of components. The computing platform may identify human-engineered features of the URL. The computing platform may compute a vector representation of the URL to identify deep learned features of the URL. The computing platform may concatenate the human-engineered features of the URL to the deep learned features of the URL, resulting in a concatenated vector representation. By inputting the concatenated vector representation of the URL to a URL classifier, the computing platform may compute a phish classification score. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.

The invention provides a visual comparison evaluation method and device for a concrete crack repairing effect. The visual comparison evaluation method for the repairing effect of the concrete crack comprises the following steps: prefabricating the crack: when a concrete test piece is poured, inserting an embedded sheet into unhardened concrete, and pulling out the embedded sheet after the concrete is hardened to form a simulated crack; crack end face plugging: plugging an observation surface of the crack by using a transparent plugging belt to complete prefabrication of a crack test piece; coating or injecting a crack repairing material: dividing the simulated cracks on the prefabricated crack test piece into two groups of wall cracks and plate surface cracks, and respectively injecting or brushing the repairing material; repairing effect observation and data acquisition: directly observing and measuring the filling depth of the repairing material in the crack under different repairing systems on the observation surface, and evaluating the repairing effects of the different repairing systems by comparing the filling depth; according to the method, the crack repairing effect can be visually and quantitatively evaluated at low cost, and data support is provided for repairing system selection.

The utility model relates to the technical field of settlement meter devices, and discloses a laser settlement meter convenient for comparison and measurement, which comprises a base, a bearing plate is fixedly connected to the upper end face of the base, and a handrail is fixedly connected to the left end of the upper end face of the base; the handrails are symmetrically arranged about the horizontal center of the upper end face of the base, and supporting columns are fixedly connected to the four corners of the lower end face of the base. A double-shaft motor is fixedly connected to the horizontal center of the upper end face of the bearing plate, and a first rotating shaft is fixedly connected to the shaft end of the double-shaft motor. The right end face of the first rotating shaft is fixedly connected with a first inner gear cylinder, and a first rotating disc is arranged in the first inner gear cylinder. According to the device, the two laser settlement meter bodies are lifted at the same time through a single power source, multi-point comparison measurement can be effectively carried out in the actual application process, a visual comparison result is provided, and the device is simple and stable in overall structure and easy to implement.

The invention discloses a multi-agent-based single-view simulation scene generation method and device and a medium, and belongs to the technical field of three-dimensional modeling simulation, and the method comprises the steps: recognizing all objects in a single indoor RGB image through a sensing agent, carrying out the positioning and scale calculation of each object, and outputting sensing data; reasoning the spatial relationship of each object in the RGB image through a relationship reasoning agent, and constructing a scene graph; retrieving a three-dimensional model corresponding to each object from the three-dimensional model data set according to each sensing data through a retrieval agent, and performing scale constraint to obtain a three-dimensional model set; placing each three-dimensional model in the three-dimensional model set through a layout intelligent agent according to the scene graph and the pose information of each object; and performing collision detection and visual comparison on the first simulation scene through the optimization intelligent agent, and performing layout optimization according to detection and comparison results. Therefore, by implementing the method, the simulation scene which is accurate in geometry and consistent in semantics can be reconstructed according to the single view.