14results about How to "Improve completion rate" patented technology

The invention discloses a cross-platform content generation and distribution method based on a multi-modal AI, and belongs to the technical field of cross-platform content generation and distribution, and the method comprises the steps: carrying out the content analysis and feature extraction of an original material based on a multi-modal AI model, and generating a structured content label and a semantic vector. By combining a vector matching degree formula of target portrait features and platform features, an adaptation strategy is dynamically generated, it is ensured that content not only conforms to platform rules, but also can accurately reach a target group, the conversion rate and user viscosity are finally improved, visual, text and semantic vectors are aligned through a Transform multi-modal fusion model, a cross-modal joint representation vector is generated, and the user experience is improved. And in combination with an adversarial generative network, differentiated variants of the same theme are generated in batches, and a content diversity score mechanism ensures that generated contents are balanced between creativity and compliance.

The application discloses a semantic perception routing scheduling method and system for computing power network, and belongs to the technical field of computing power network and communication. The application aims at the problems that the traditional host-centered routing scheduling mechanism cannot perceive service semantics and computing power state, resource supply and demand are not matched, and multi-computing power instance optimization capability is insufficient, and proposes an OSAF-SORS paradigm: by introducing a service tag (STag) decoupled from location and home as a new type of addressing routing identifier, an open service available priority (OSAF) routing scheduling mechanism is realized; based on deep reinforcement learning and multi-layer graph attention network, a service-oriented routing scheduling (SORS) algorithm is designed to jointly capture resource dependency and queue dynamics, complete multi-computing power instance optimization and path collaborative optimization. The application can significantly improve the service level agreement (SLA) achievement rate, resource utilization rate and load balancing effect, and is suitable for wide-area high-performance computing, immersive video, distributed AI training and other low-latency high-reliability business scenarios.

The application discloses a kind of customized training plan generation methods for operation and maintenance personnel based on performance prism, which comprises the following steps: collecting multi-source heterogeneous demand data of operation and maintenance personnel on multiple platforms, and combining Carnot model and importance performance analysis model for fusion processing, extracting key technology theme through cluster analysis, drawing core training intention and decomposing into key measurement indicators, collecting employee daily operation and maintenance behavior data and calculating ability membership degree vector, combining post demand information, calculating target ability information to be enhanced, generating training content using intelligent workflow engine according to target ability information and key measurement indicators, generating hybrid training plan combining online and offline according to employee historical schedule, issuing the plan to terminal and setting task reminders, which can ensure that training is executed on time, improve training coverage and completion rate, and realize the intelligentization, customization and high efficiency of operation and maintenance personnel training from demand analysis, capability assessment, content generation to plan execution.

The invention discloses an automatic movie short video explanation editing method and device, a server and a storage medium, and relates to the field of multimedia video editing, and the method comprises the steps: analyzing each plot content of an original movie video; performing shot fragmentation on the original movie video, extracting shot information, and marking starting and ending timestamps of each shot; matching the preset commentary with the shot information in the film; based on a text-to-speech model, converting the matched commentary into a corresponding commentary audio, synchronizing the corresponding commentary audio with a corresponding movie shot, and providing background commentary for the short video; and dynamically planning the rhythm of lens switching based on the identified plot content, the lens matching information and the synchronized explanation audio, and intelligently inserting a transition special effect to assemble the mixed video. According to the invention, by fusing multi-modal feature analysis and intelligent editing logic generation, efficient and high-quality video automatic production is realized, and the manufacturing cost is reduced while the content attraction is improved.

This invention relates to the field of pulse capacitor charging and discharging technology, specifically to an automated testing method for pulse capacitors that ensures the effective discharge count meets the target. The method includes: S1, charging the pulse capacitor and inputting a trigger pulse to the trigger electrode of the cold cathode discharge tube; S2, determining whether the trigger pulse causes the cold cathode discharge tube to break down to ground. If so, the effective discharge count is incremented by one, and a valid trigger event is recorded. After the pulse capacitor completes its discharge, the process returns to step S1 until the effective discharge count reaches the preset target number; otherwise, an invalid trigger event is recorded, and the pulse capacitor undergoes phased safe discharge; S3, statistical characteristics of the invalid trigger events are extracted based on a sliding time window to determine if the cold cathode discharge tube is faulty. If not, the process returns to step S1 for supplementary testing; otherwise, the test ends. Through a closed-loop control process of invalid trigger statistics, safe discharge, and adaptive supplementary testing, the problem of reduced test intensity caused by occasional failures of switching devices is solved.

The invention belongs to the technical field of autism screening, and discloses a rapid interactive screening test method for infant autism, which is suitable for Chinese environment infants of 18-36 months old. The method comprises the following steps: determining an adaptive test object, preparing a test, executing an interactive test and scoring according to a sequence that the first three items are fixed and the other items are flexible, adding scores of the nine items, and judging the risk according to the total score. The method can be completed within 5-10 minutes and is adaptive to Chinese culture, equipment is simple, operation is standardized, and the problems that an existing tool is poor in adaptation and low in efficiency are solved; the method is high in accuracy, is suitable for multiple scenes such as communities, can quickly recognize autism risks, and provides support for early intervention of child autism.

This invention discloses a cross-platform heterogeneous unmanned equipment integrated command system, including a platform side and an equipment side, which communicate with each other through an interconnected patrol operation network. The platform side is equipped with a platform-side command module and a cloud-based intelligent planning module. The equipment side is equipped with a unified robot access node, which is implemented in the form of a software package. The platform side also has a controller and listener mechanism, which achieves closed-loop cooperation through a unified state space field and a unified event semantics. This invention solves the problems mentioned in the background art, such as the difficulty in unified scheduling of collaborative tasks, control source switching conflicts, and discontinuous control and feedback under link changes, by cooperating the platform-side command module, the unified robot access node on the equipment side, and the cloud-based intelligent planning module. It achieves unified scheduling and collaboration of tasks without relying on vendor-specific closed-loop systems.

The invention discloses a mixed request-oriented large language model adaptive scheduling algorithm. The algorithm comprises the following steps: S1, initializing queues Q1, Q2 and Q3 and a set CB to be empty; s2, when a new request arrives, calculating the priority of the new request, adding Q1 or Q2 according to the type of the new request, and then entering S3; when no new request arrives, entering S3; s3, judging whether the request is true or not, if so, entering S4, otherwise, terminating the algorithm, and starting when a new request exists; s4, updating the priorities of the requests in the queues Q1, Q2 and Q3; s5, the updated Q1, Q2 and Q3 are traversed in sequence, and the request is selected to be added into the CB; s6, inputting the CB into the large language model for reasoning for one time, removing the completed request from the CB, and recording the completion time; s7, when the CB is empty, entering the step S2; when the CB is not empty, k is made to be equal to k + 1, and when k is smaller than Y-1, the step S6 is executed, and otherwise, the step S8 is executed; and S8, for uncompleted requests in the CB, the request from the Q1 is put back to the Q1, the requests from the Q2 and the Q3 are both put back to the Q3, and then the step S2 is returned.

The application provides an AI conversation-driven asset due diligence process arrangement method and system, relates to the technical field of artificial intelligence, and comprises the following steps: analyzing user conversation, constructing an asset knowledge graph and demand constraints, screening and arranging atomized due diligence components to form an execution graph according to the knowledge graph and the demand constraints, and performing information collection and analysis on the components in sequence; when data is missing, the method automatically backtracks the conversation nodes and generates follow-up questions to supplement the information; and finally, the aggregated results are used to generate a due diligence report. The method realizes the automation and self-adaptation of the due diligence process, and improves the efficiency and integrity.

This invention belongs to the field of wireless communication technology, specifically relating to an integrated air-space-ground intelligent communication monitoring system for areas without public network signals. The system includes: ground-based sensing nodes deployed in specific areas for data acquisition and preprocessing; an airborne mobile relay platform mounted on an unmanned aerial vehicle (UAV) for monitoring, data aggregation, and wireless power replenishment; a space-based constellation backbone network composed of low-Earth orbit (LEO) satellites for constructing backhaul links; and a remote integrated control terminal. The airborne platform dynamically plans its path and performs wireless beam replenishment based on parameters such as the power levels of the ground nodes. When the airborne platform's power is insufficient, it can switch to a fixed base station to enhance coverage. This invention improves the system's lifespan and monitoring flexibility through three-layer air-space-ground collaboration and an on-demand wake-up power replenishment mechanism, achieving reliable backhaul of high-value information and flexible resource reuse in complex environments.

This invention discloses an intelligent CTD sampling control method and system combining tidal current prediction, relating to the field of marine observation technology. The method includes: generating tidal current predictions by fusing historical tidal elements and numerical model outputs, and planning candidate sampling windows; real-time acquisition of multi-source observation data to form standardized observation vectors, calculating the deviation from the predicted values ​​and fusing the vertical shear force intensity factor to perform rolling corrections on the predictions and update the sampling windows; comparing real-time observation data with safety thresholds to generate operational access instructions, issuing control instructions under permissible conditions, and dynamically adjusting sampling parameters and triggering resampling based on profile data quality coefficients; synchronously monitoring abnormal events, triggering emergency recovery, and deferring the task to subsequent candidate windows. By constructing intelligent closed-loop control, introducing vertical shear force early warning, and a parallel processing architecture, adaptive, highly safe, and highly reliable CTD sampling operations under complex sea conditions are achieved.

The utility model provides an automobile seat framework assembling device which is characterized in that the automobile seat framework assembling device comprises a supporting frame, a workbench is fixed to the supporting frame, an assembling tool for achieving framework assembling work is arranged on the workbench, and the assembling tool is provided with a detection assembly for receiving and judging neglected assembly detection of parts; the supporting frame is connected with a torque gun for installing the parts, and the torque gun is provided with a sensor for obtaining torque data. Efficient and accurate assembly, intelligent detection and early warning, data tracing, energy conservation and environmental protection of the automobile seat framework can be achieved, and the product quality and production benefits are improved.

This application discloses a video editing optimization method, device, and storage medium based on electroencephalogram (EEG) data. This application relates to the field of electronic data processing technology. The EEG-based video editing optimization method includes: responding to a received video to be edited, determining the video type based on video tags associated with the video to be edited; obtaining editing optimization rules from a knowledge base pre-trained based on EEG data and eye-tracking data according to the video type; determining multiple material segments and media elements corresponding to the video to be edited based on the audio track, image track, and text track of the video to be edited, wherein the media elements include text, images, and audio; and processing the material segments and media elements based on the editing optimization rules to generate editing optimization suggestions. This application can achieve the technical effect of improving the efficiency of video editing optimization.

This disclosure relates to a display device, a method for displaying overlay advertisements, and a storage medium. The method involves receiving a media asset playback instruction, which carries identification information of the target media asset; based on the identification information, acquiring media asset data from a first server; and acquiring configuration information and advertisement data for the target overlay advertisement from a second server. The configuration information includes: transparency parameters corresponding to different video frames in the media asset data, transparency area parameters corresponding to different video frames in the media asset data, and a preset playback time period. In a media asset display layer, the content of the target video frame in the media asset data is displayed. Within the preset playback time period, the advertisement data is displayed in an advertisement display layer. The advertisement data is displayed within a target area of ​​the advertisement display layer with a target transparency. The target area is determined based on the transparency area parameters corresponding to the target video frame, and the target transparency is the transparency corresponding to the target video frame. The advertisement display layer is located above the media asset display layer.