7results about How to "Raise willingness" patented technology

The invention belongs to the technical field of visual training, and particularly relates to a multi-dimensional visual training feedback method for improving binocular fusion visual and stereoscopic visual functions, and the method comprises the following steps: carrying out medical baseline detection, generating an initial ability portrait through visual function evaluation and cognitive ability testing, matching training difficulty parameters, and generating a personalized scheme; multi-modal game training is carried out, training types comprise gamification training, animation scene training and offline family task training, and the training difficulty is dynamically adjusted; a tutor performs remote one-to-one guidance, and dynamically adjusts a training scheme according to a change report by tracking the training progress in real time; and the system performs multi-dimensional effect evaluation and self-optimizes a difficulty prediction algorithm. According to the method, the problems of dull training and passive participation, scheme stiffness and execution deviation, single stimulation and cognitive load, scene limitation and continuous interruption are solved.

The embodiment of the invention provides an enterprise data processing method and device, electronic equipment and a storage medium, and belongs to the technical field of financial science and technology. The method comprises the following steps: acquiring multi-dimensional enterprise data of a plurality of candidate enterprises; preprocessing the multi-dimensional enterprise data to obtain target enterprise data; performing feature extraction on the target enterprise data to obtain multi-dimensional enterprise features; market change information and enterprise demand information are obtained, and the screening rule weight of the screening model is adjusted according to the market change information and the enterprise demand information to obtain a target screening model; performing matching scoring on each multi-dimensional enterprise feature through a target screening model to obtain an enterprise matching scoring result; and determining a target recommended enterprise from the plurality of candidate enterprises according to an enterprise matching scoring result. Based on this, according to the embodiment of the invention, the enterprise multi-dimensional data is integrated, analyzed and processed, and the customer obtaining strategy is dynamically adjusted according to the market change and the enterprise need, so that the customer obtaining efficiency and quality can be remarkably improved.

The invention discloses an intelligent guidance system and method for shoulder pain rehabilitation, and belongs to the technical field of health information. According to the method, a continuous image sequence of the upper body of a user is obtained, real-time unmarked motion data of the user is generated based on a human body topology model and an optical flow field analysis method, and the unmarked motion data comprises a personal digital skeleton formed by joint angle estimation values and a force grading estimation value. According to the invention, non-interference and personalized rehabilitation monitoring and guiding are realized, the constraint that a physical sensor must be worn in traditional rehabilitation monitoring is eliminated by adopting a pure visual unmarked motion capture technology, and a patient is allowed to train in a completely natural state, so that the comfort and rehabilitation experience of the user are greatly improved, and the rehabilitation effect of the patient is improved. A high-quality data basis is provided for subsequent personalized guidance, and the willingness and compliance of the patient insisting in rehabilitation for a long time are effectively enhanced.

The invention relates to a method and a system (10) for customizing vehicle functions. The system (10) comprises a developer platform (12) having an application programming interface (API) for creating content for at least one predefined vehicle function, wherein the developer platform (12) is configured to send the created content to a content server (18); a content server (18) configured to receive and store the created content; a mobile device (20) comprising an application, wherein the application is configured to access the content server (18) and provide the stored content of the content server (18) for selection; and a vehicle (16) configured to receive the selected content and customize the vehicle function with the received content.

The invention discloses a cable reel conveying device, and belongs to the technical field of power construction, the cable reel conveying device comprises a frame, a pay-off mechanism is arranged on the frame, the pay-off mechanism comprises a transversely arranged supporting beam, the supporting beam is connected with the frame through a rotating shaft, the rotating angle of the supporting beam is 360 degrees, the middle part of the supporting beam is vertically connected with a stand column, and the stand column is connected with the pay-off mechanism. The stand column is provided with a lifting shaft matched with a cable reel shaft hole. The two sides of the stand column are provided with supporting arms used for supporting the bottom of the supporting disc. An operator only needs to move the device, the lifting shaft is inserted into a shaft hole of a ground cable reel, and then the motor can be driven to stably lift the cable reel to a working position. In this way, additional hoisting equipment and heavy manual carrying are completely abandoned, autonomous loading and aerial precise positioning of the cable reel are achieved, and the operation safety and efficiency are greatly improved; and the combination of the baffle disc and the locking nut forms reliable axial locking, so that the cable reel is prevented from falling off from the shaft end in the lifting and transportation processes.

The state control method and device of a virtual role, the storage medium and the computer device provided by the application gradually update the conversion progress of the virtual role by responding to the interactive operation, and the updated conversion progress is displayed to the player, and whether the state conversion is completed is determined according to whether the conversion progress reaches a threshold value, so that the player can intuitively perceive the conversion process and continuously participate in the interaction, which not only improves the user participation and interaction immersion, but also makes the conversion process cumulative and continuous, and can effectively optimize the game experience of the player; when the conversion progress reaches the preset progress threshold value, the application not only converts the virtual role from the first state to the second state, but also classifies the converted virtual role into the virtual asset pool of the player, so that it becomes an effective game asset that can be directly controlled and used by the player. The positive feedback of this asset greatly enhances the sense of achievement and immersion of the player, and fundamentally improves the utilization efficiency of virtual resources.

This invention relates to an intelligent sonar fault diagnosis method and system based on knowledge graphs and large language models, comprising the following steps: receiving initial fault description text input by a user through a natural language interactive interface; performing a completeness analysis on the initial fault description text to determine whether it contains all preset key information dimensions; if the result of the completeness analysis is negative, initiating an interactive guidance mechanism until a complete fault description text is obtained; based on the complete fault description text, performing reasoning using a pre-trained large language model configured with a sonar fault knowledge graph; and generating and outputting a structured fault diagnosis report based on the conclusion of the joint reasoning. This invention, by introducing a fault description completeness assessment and interactive guidance mechanism, solves the problem in existing technologies where fuzzy or incomplete user-input fault descriptions lead to a decrease in system diagnostic accuracy, thereby improving the overall accuracy and stability of the diagnosis.