9 results about "Method of support" patented technology

[Problem] The objective is to realize a technical due diligence support method that makes it easier to understand the results of software analysis. [Solution] A due diligence support method for evaluating the technical capabilities and software quality of a prospective acquisition company of a business operator, which is performed by a management terminal according to one embodiment of the present invention, wherein the control unit of the management terminal refers to information on the source code disclosed by the developer of the prospective acquisition company, performs an analysis to evaluate the technical capabilities and quality based on the information on the source code, and generates a report evaluating the technical capabilities and quality based on the analysis results. [Selected Figure] Figure 8

The application discloses a kind of fusion multi-model intelligent reasoning's cause of death chain automatic generation and radical cause of death determination support method and equipment.The method comprises: obtaining and preprocessing electronic medical record data;Adopt four-stage series screening mechanism including semantic matching, context adaptation, timing verification and statistical optimization, map clinical text into candidate ICD coding;Adopt search enhancement generation framework and dynamic multi-round controllable reasoning engine to generate candidate cause of death chain;Adopt the mixed probability model of timing-cause dual constraint to evaluate candidate cause of death chain, calculate comprehensive probability to determine radical cause of death, and the result is visualized and presented.The application can realize the automation of cause of death chain generation and radical cause of death determination, significantly improve accuracy and efficiency, enhance the explainability of decision-making process, and have continuous learning ability.

The application discloses a kind of propelling judgment support method and device for AI assisted CAD modification, belong to computer aided design and intelligent interaction technical field.The method includes: first, local editing context is constructed and area constraint is divided, then matching operator is generated Modification direction and cluster screening, selected direction is constructed patch script and generates candidate scheme, preliminary and in-depth stage verification is carried out after gathering detection data, and integration context, direction and verification data, recommended total score is calculated using weighting algorithm, and structured result is output and encapsulated can be submitted modification object.The application constructs local editing context, divides target, protection and influence area, combines editing operator and cluster screening modification direction, improves targeting, generates candidate scheme by parameterized search, carries out multi-dimensional verification by geometry, assembly, manufacturing, integrates decision using weighting algorithm, outputs structured recommendation scheme, realizes scientific screening and standard execution of CAD modification, improves efficiency and controllability.

A test case generation support system 30 comprising an arithmetic unit 31 that executes: open-ended response generation processing for generating an open-ended response corresponding to an open-ended question for a predetermined topic which requires a response by inputting the open-ended question to a trained model 47; first closed-ended question generation processing for generating a first closed-ended question by inputting the open-ended question and the open-ended response to the trained model 47, the first closed-ended question asking whether the open-ended response is correct or incorrect and requiring that the open-ended response is correct as a correct answer; and second closed-ended question generation processing for changing a topic portion of the first closed-ended question by a predetermined algorithm and generating a second closed-ended question asking whether the changed topic portion is correct or incorrect.

To provide a consensus-building support system and method that analyzes the context of opinions from stakeholders and automatically addresses emotional opposition and distrust. [Solution] The system is characterized by comprising: an information processing device; an input means for inputting the opinions of relevant parties to the information processing device; an analysis unit that analyzes the opinions input by the input means using an emotion recognition engine and calculates the emotional state as an emotion score; an estimation unit that estimates the consensus formation stage from the emotion score analyzed by the analysis unit; a dynamic dialogue generation unit that automatically generates dialogue content based on the consensus formation stage estimated by the estimation unit for the opinions and transmits the dialogue content to the person who expressed the opinion; a storage device that stores the history of the emotional state for each person who expressed the opinion, the consensus formation stage, and the dialogue content automatically generated by the dynamic dialogue generation unit; and a management unit that manages the history of the emotional state for each person who expressed the opinion, the consensus formation stage, and the dialogue content automatically generated by the dynamic dialogue generation unit stored in the storage device.

This invention belongs to the field of industrial fault diagnosis and intelligent operation and maintenance technology. It discloses a human-computer collaborative fault diagnosis reasoning and maintenance decision support method and system enhanced by Large Language Model (LLM). The steps are as follows: (1) Construct a multi-dimensional industrial knowledge graph integrating alarms, phenomena, causes, and solutions. Through the character-level and semantic-level similarity fusion mechanism driven by the LLM, high-fidelity entity fusion and full causal chain modeling are achieved; (2) The LLM is used to complete entity extraction, knowledge purification, and path refinement. The accuracy and consistency of the knowledge graph are improved through redundancy pruning, semantic merging, and logical sorting; (3) The framework is deployed on a portable edge intelligent system. Local real-time reasoning is achieved based on heterogeneous hardware architecture, and a knowledge closed loop is formed by combining human-computer interaction. This invention effectively improves the accuracy, interpretability, and security of fault diagnosis, realizes real-time operation and maintenance decision support, and is suitable for complex and dynamic industrial fault diagnosis scenarios.

The molding planning support system (30) includes a learning device (31) comprising: a first data acquisition unit that acquires molding conditions, which are conditions for additive manufacturing, and evaluation values ​​that indicate an evaluation of additive manufacturing; a learning unit that learns a prediction function and a predicted variance of evaluation values ​​for predicting evaluation values ​​corresponding to molding conditions based on learning data including the corresponding molding conditions and evaluation values, and outputs a prediction function and a predicted variance inferred from the input molding conditions and the input evaluation values; a second data acquisition unit that acquires the prediction function and predicted variance output by the learning device (31); and a molding condition determination unit that determines the molding conditions for acquiring a target evaluation value, which is the target of the evaluation value, based on the prediction function and the predicted variance.

The application discloses a kind of fusion multi-model intelligent reasoning's cause of death chain automatic generation and radical cause of death determination support method and equipment.The method comprises: obtaining and preprocessing electronic medical record data;Adopt four-stage series screening mechanism including semantic matching, context adaptation, timing verification and statistical optimization, map clinical text into candidate ICD coding;Adopt search enhancement generation framework and dynamic multi-round controllable reasoning engine to generate candidate cause of death chain;Adopt the mixed probability model of timing-cause dual constraint to evaluate candidate cause of death chain, calculate comprehensive probability to determine radical cause of death, and the result is visualized and presented.The application can realize the automation of cause of death chain generation and radical cause of death determination, significantly improve accuracy and efficiency, enhance the explainability of decision-making process, and have continuous learning ability.

The application discloses a kind of self-adapting personalized federated learning methods of supporting heterogeneous model, the method is based on the model of each participant using structure different in supporting federated learning, by learning dynamic weight for model integration and introducing optimization target for model integration in the process of training model parameters, realize the high accuracy of data heterogeneous self-adapting personalized federated learning, can make participants benefit from federated learning in the scene of different degrees of data heterogeneity.The self-adapting personalized federated learning method of the application does not need to introduce new hyperparameters, can be conveniently deployed in existing federated learning system;Compared with traditional personalized federated learning method, the application has stronger adaptability.