21 results about "Transition diagram" patented technology

This design application relates to a GUI (Graphical User Interface) for transition icons. The transition icons in this GUI are displayed as a result of an aerosol generating device or electronic vape device, such as a heated tobacco product, performing functions such as startup, heating, or preheating. The appearance of the transition icons transitions sequentially between the images shown in Figure 6, which shows the changed state from the initial image.

The invention discloses a human body continuous action recognition method based on state diagram logic conversion. The method comprises the following steps: acquiring continuous actions of a human body by using a radar to obtain a radar three-dimensional data matrix, and generating a state logic conversion diagram; preprocessing the radar three-dimensional data matrix, and performing continuous action segmentation on the preprocessed time Doppler information; acquiring five-dimensional point cloud information of distance, Doppler, height, energy and time; according to a PointNet deep learning network and action state logic conversion, a forward classification method and a backward classification method are combined, and a main classifier is used for classifying independent actions; and the label range of the action is narrowed through the forward or backward sub-classifier, and continuous action classification is further carried out. According to the method, firstly, precise segmentation of continuous actions is realized based on the difference of the continuous actions of the human body in feature, and then, based on the continuity of the continuous actions in state conversion logic, the logic of state conversion between front / back adjacent actions is utilized to assist in judging a current action label, so that the accuracy of the continuous actions is improved. Therefore, efficient and accurate human body continuous action recognition is achieved, the calculation method is effective and feasible, the performance is reliable, and the precision is higher.

This application discloses a code generation method, apparatus, device, medium, and product, relating to the field of application development. The method includes converting front-end application design data into a structured dataset containing page element information, initial interaction topology, and visual design specifications, addressing the problem of insufficient interaction logic description capabilities. It then converts this data into an attributed state transition diagram, describing the complete interaction attributes of the front-end application's page-to-page interaction from pre-interaction preparation to the completion of the interaction's effect, replacing vague natural language descriptions and achieving machine-analyzable interaction logic, bridging the information gap between design and implementation. Finally, it combines a pre-trained language model to directly generate front-end development code, achieving automated and standardized output from design to code, addressing the lack of machine-analyzable formal representation of front-end interaction logic, thereby improving front-end development efficiency and code quality, and reducing communication and maintenance costs.

The invention provides an intelligent perception driven state transition diagram recognition and digital twinning construction and verification method and system. The method comprises the following steps: firstly, obtaining and optimizing a state transition diagram, and decomposing the state transition diagram into a state node layer, a transition path layer and a text labeling layer; then, on the basis of each decomposed layer, calling a deep learning model trained by combining a training data set related to the field, and identifying various state nodes in the state transition diagram; identifying a transfer path between the state nodes; the text information is recognized, and the semantics of the text information in the specific field is understood. A digital twinning model can be further constructed based on the identified result, and formalized verification and / or behavioral simulation are / is performed on the digital twinning model to assess the correctness and reliability of the digital twinning model. The method solves the problems that a traditional manual analysis method is low in efficiency and prone to errors, is particularly suitable for analysis and verification of complex state machines in the fields of semiconductors, memories, communication protocols and the like, and can remarkably improve design efficiency and reduce design defects.

An object of a system according to an embodiment is to support efficient software development by automatically detecting unnecessary processing and inefficiency of a source code.SOLUTION: A system according to an embodiment includes a static analysis unit, a documentation generation unit, a test case generation unit, a vulnerability detection unit, and a UI test execution unit. The static analysis unit analyzes the source code and detects useless processing and inefficiency. The documentation generation unit generates a relation diagram and a transition diagram from the source code analyzed by the static analysis unit. The test case generation unit generates a test case based on the relation diagram and the transition diagram generated by the documentation generation unit. The vulnerability detection unit detects vulnerability based on the test case generated by the test case generation unit. The UI test execution unit executes a UI test based on the vulnerability detected by the vulnerability detection unit.SELECTED DRAWING: Figure 1

The animated graphical user interface of this design is used to edit the navigation bar and shortcuts on the discovery page. The appearance of the transition images continuously transitions between the images shown in Figures 1.1-1.2, 1.2-1.3, 1.3-1.4, 1.4-1.5, 1.5-1.6, 1.6-1.7, 1.6-1.8, 1.6-1.9, 1.9-1.10, and 1.6-1.11, respectively. For Figures 1.5-1.6, clicking on the red circled icon in Figure 1.12 transitions the image in Figure 1.5 to the shortcuts page in Figure 1.6. For Figures 1.6-1.7, clicking on one of the heart-shaped icons in the red frame in Figure 1.13 transitions the image in Figure 1.6 to the image in Figure 1.7. With respect to Figures 1.6 to 1.8, clicking on the red circled icon in Figure 1.15 transitions the image in Figure 1.6 to the image in Figure 1.8. The process or period of transition from one image to another does not form part of the design sought to be registered. Dashed lines indicating a display screen or portion thereof do not form part of the design sought to be registered. Text containing English letters and an element consisting of an X or a sequence of Xs does not form part of the design sought to be registered. 1.1) Front view; 1.2) Front view; 1.3) Front view; 1.4) Front view; 1.5) Front view; 1.6) Front view; 1.7) Front view; 1.8) Front view; 1.9) Front view; 1.10) Front view; 1.11) Front view; 1.12) Reference view of 1.5 showing the transition between images from Figure 1.5 to Figure 1.6; 1.13) Reference view of 1.6 showing the transition between images from Figure 1.6 to Figure 1.7; 1.14) Reference view of 1.6 showing the transition between images from Figure 1.6 to Figure 1.8

This design application relates to a GUI (Graphical User Interface) for transition icons. The transition icons in this GUI are displayed as a result of an aerosol generating device or electronic vape device, such as a heated tobacco product, performing functions such as startup, heating, or preheating. The appearance of the transition icons transitions sequentially between the images shown in Figure 6, which shows the changed state from the initial image.

The invention discloses an industrial component defect area positioning method based on microscopic image transfer learning. By constructing the modal state transition diagram and the spatial position matrix, the abnormal state and the interference area can be accurately identified, and the processing strategy is dynamically adjusted, so that the response speed and the processing flexibility of the system to the abnormal modal data are effectively improved. Particularly, under the condition that interference data is frequently transmitted or bandwidth resources are limited, data transmission and calculation burdens are greatly reduced through a modal compression and delay decoding mechanism, and continuity and stability of a main processing stream are guaranteed. Meanwhile, the method provided by the invention has relatively strong adaptive capability, cache management and path priority can be dynamically adjusted according to real-time state change, and data congestion and delay diffusion are effectively prevented.

The application discloses a kind of multi-state flow error compensation methods based on deep learning, comprising the following steps: S1, acquisition and processing multidimensional working condition parameters, generate working condition state label, establish state transition diagram;S2, input physical dual layer, execute positive and negative mapping, adaptively correct parameter, output consistency feature;S3, combine feature with state label, establish causal error atlas model, decompose error and output distribution;S4, error distribution is corrected based on consistency feature, and candidate compensation is generated in combination with state label and transition diagram;S5, input candidate compensation amount, set compensation and risk agent, based on confidence game optimization output compensation;S6, according to the compensation weight correction flow value, output final compensation result, execute drift component online update.The application realizes high-precision, continuity and safe robust compensation of flow measurement error under multiple working conditions by introducing physical dual constraint, causal error atlas and game type compensation gate.

The invention discloses a barrier-free interaction method and related equipment based on large model enhancement, and the method comprises the steps: carrying out the traversing of an initial state node of an initial interface, and constructing a state transition diagram; labeling function information of the transfer nodes to generate a node function table; obtaining a current state node and a task purpose of the target task, querying the memorized task table, and when the current state node and the task purpose do not exist in the memorized task table, obtaining a simplified state node; according to the simplified state node, the node function table and the task purpose, generating a cue word; outputting an interaction element ID, an interaction event type and a task completion identifier of the target task through the large model; and updating the current state node, judging whether the task completion identifier is completed or not, and if the task completion identifier is not completed, returning to the step of acquiring the current state node until the identifier is completed. The method can improve the naturalness of barrier-free interaction and the accuracy of an interaction strategy, and can be widely applied to the technical field of artificial intelligence.

The application discloses a kind of customer data processing method and system, it is related to data processing technical field.The method includes the state transition diagram of the power consumption event sequence of each regional power grid customer is constructed;Two-way state structure is constructed to state transition diagram, based on maximum transition probability path extraction atypical state sequence, and mark as regional task key frame state sequence;Collaborative state mapping matrix is constructed, and distributed state abnormal fragment with associated aggregation characteristics is identified;The time sequence coding of task key frame state sequence corresponding to the state abnormal fragment with associated aggregation characteristics in collaborative state mapping matrix is carried out, and structured feature set is generated;The clustering boundary of state node in state transition diagram and transition edge weight are revised based on structured feature set.

A testing method and apparatus of a driving control system, a medium, and a device. According to the method, a state transition diagram is input, and then the test coverage of each state transition in the state transition diagram is gradually implemented on the basis of the state transition diagram and by loop iterative variation of a scenario sample. When the loop iterative variation is performed, a simulation output of the scenario sample is used as a reference, so that the iteration process can quickly converge to the corresponding state transition to achieve the goal of coverage testing. The testing method and apparatus can intuitively test the processing capability and level of the driving control system for a driving environment, and exhibits high test efficiency.

The invention discloses an intelligent lock anti-brute force cracking method and device based on multi-feature fusion, and relates to the technical field of fingerprint verification, and the method comprises the following steps: obtaining time sequence operation features generated in a user fingerprint verification process, and constructing a verification behavior sequence; performing behavior mode division on the verification behavior sequence to obtain a plurality of verification behavior states, and performing state transition analysis to obtain a verification state transition diagram; performing state return visit analysis on the verification behavior sequence based on the verification state transition diagram, and disturbing the verification state transition diagram according to an analysis result to obtain a state disturbance path; performing state diffusion evaluation on the state disturbance path and screening an optimal target path according to an evaluation result; the verification process of the intelligent lock is controlled according to the execution result of the optimal target path, and the security vulnerability problem that when an attacker conducts fingerprint verification through the intelligent lock, system feedback is unstable due to multiple attempts, and therefore forged fingerprints can be continuously adjusted, and unlocking conditions are approached is solved.

A risk evaluation device (20) includes: a graph processing unit (23) that creates a state transition diagram of a continuous-time Markov chain that is a data structure including each node and each edge of a BAG and in which an obtained transition rate is applied to each edge instead of an exploit success probability of each edge; and a graph analysis unit (24) that calculates a risk probability of each node that changes with an elapsed time t from when an attacker has started an attack by performing a Markov analysis process on the basis of the state transition diagram created by the graph processing unit (23) and the elapsed time t.

The animated graphical user interface of the design is primarily used to display stock ranking information. The appearance of the transition images transitions continuously between the images shown in Figures 1.1-1.2, 1.2-1.3, and 1.2-1.4, respectively. Regarding Figures 1.1-1.2, clicking the icon indicated by the red arrow in Figure 1.5 transitions the image of Figure 1.1 to the image of Figure 1.2. Regarding Figures 1.2-1.3, clicking the icon indicated by the red box in Figure 1.6 transitions the image of Figure 1.2 to the image of Figure 1.3. Regarding Figures 1.2-1.4, clicking any one of the stocks numbered in red within the red box in Figure 1.7 transitions the image of Figure 1.2 to the image of Figure 1.4. The process and duration of the transition from one image to another do not form part of the design sought to be registered. The dashed lines indicating the display screen or portions thereof do not form part of the design sought to be registered. Text containing Chinese characters, numbers and elements consisting of a single X or a string of multiple Xs does not form part of the design sought to be registered. 1.1) Front view; 1.2) Front view; 1.3) Front view; 1.4) Front view; 1.5) Reference view of 1.1 showing the transition between the images of Figure 1.1 to Figure 1.2; 1.6) Reference view of 1.2 showing the transition between the images of Figure 1.2 to Figure 1.3; 1.7) Reference view of 1.2 showing the transition between the images of Figure 1.2 to Figure 1.4

The system according to this embodiment aims to streamline the software development process and automatically detect and improve unnecessary processing and inefficient parts. [Solution] The system according to the embodiment comprises a static analysis unit, a test generation unit, a documentation generation unit, a vulnerability detection unit, and a UI testing unit. The static analysis unit performs static analysis of the source code. The test generation unit automatically generates test programs based on the unnecessary processing and inefficient parts detected by the static analysis unit. The documentation generation unit automatically generates relationship diagrams and transition diagrams based on the test programs generated by the test generation unit. The vulnerability detection unit detects vulnerabilities based on the documents generated by the documentation generation unit and proposes countermeasures. The UI testing unit automates user interface testing based on vulnerabilities detected by the vulnerability detection unit.

The invention discloses a train working diagram recovery method, device and equipment under operation disorder and a storage medium, and relates to the technical field of rail transit, and the method comprises the steps: taking a target plan line in an original plan working diagram as a reference plan line, and creating a reference working diagram; the target plan line comprises a plan line which passes through the current time and of which the end time is after the current time, and a plan line of which the start time is after the current time; matching a reference plan line for the online train; if the unmatched online trains exist, creating a warehousing reference plan line for the unmatched online trains; taking the reference plan line or the warehousing reference plan line corresponding to the online train and the unmatched reference plan line as a transition plan line, and creating a transition running chart; and sequencing and translating the transition plan lines, and adjusting the arrival and departure time of the transition plan lines. According to the method, the transition running chart can be automatically created when the train runs disorderly, and the train can run according to the transition running chart and can quickly recover to the original plan to run.

The application provides a method and system for predicting sandstone-type uranium mine prospective areas based on GAT, and belongs to the technical field of uranium geological research. By converting stratum unit data, sand body distribution data, structure line data, hydrogeological condition data and mineralization verification point data into graph node basic data and constructing a node feature matrix, the prediction unit not only has its own geological properties, but also has scene adaptation information for expressing the control degree. Then, by compatibility calculation of metallogenic relationship, low control area metallogenic candidate channels and transition graph units are generated and graph structure data is formed, so that the prediction processing process can express local spatial continuity relationship, sand body distribution relationship, underground water direction relationship, structure auxiliary relationship and low control area channel relationship at the same time. Then, based on the node feature aggregation processing of edge relationship features and attention coefficients, the neighborhood information contribution can be automatically adjusted according to the metallogenic relationship between the prediction units, so as to improve the identification ability of the concealed uranium metallogenic prospective area.

The invention provides a key action extraction method and device based on a state transition diagram and a storage medium. The method comprises the steps that S10, a sequence sample set generated by an intelligent game model in the confrontation process is acquired; s20, constructing a state transition diagram based on the sequence sample set; s30, determining the frequency weighted edge betweenness of the action corresponding to each edge in the state transition diagram; step S40, determining importance information of the action corresponding to each edge according to the frequency weighted edge betweenness of the action corresponding to each edge; s50, sorting the actions in the state transition diagram according to the importance degree information of the actions corresponding to each edge to obtain an action importance degree sequence; s60, redundant edge removal operation is carried out on the state transition diagram based on the action importance degree sequence; and step S70, iteratively executing the steps S30 to S60 until a preset stop condition is met, and determining the action corresponding to the remaining edges in the state transition diagram as the key action.

The invention discloses a multi-state flow error compensation method based on deep learning, and the method comprises the following steps: S1, collecting and processing multi-dimensional working condition parameters, generating a working condition state label, and building a state transition diagram; s2, inputting a physical dual layer, executing forward and reverse mapping, adaptively correcting parameters, and outputting consistency characteristics; s3, establishing a causal error atlas model in combination with the features and the state labels, decomposing errors and outputting distribution; s4, correcting error distribution based on consistency characteristics, and generating candidate compensation in combination with a state label and a transition graph; s5, inputting a candidate compensation amount, setting a compensation and risk agent, and optimizing output compensation based on a confidence game; and S6, correcting the flow value according to the compensation weight, outputting a final compensation result, and executing on-line updating of the drift component. According to the method, by introducing physical dual constraints, a causal error atlas and game type compensation gating, high-precision, continuous and safe robust compensation of flow measurement errors under multiple working conditions is achieved.

To provide a program generation device capable of generating comprehensive and minimally redundant recovery programs for production equipment. [Solution] The program generation device according to the present disclosure is a program generation device for generating a return program for a production device, and comprises: a displacement state determination unit that determines the displacement state which is the state of the controlled object; a displacement state definition unit that defines the displacement state for each process and sets a return operation corresponding to the displacement state in each process; a state transition diagram generation unit that generates a state transition diagram composed of displacement states with respect to the return operation; and a return program generation unit that generates a return program based on the state transition diagram.