9 results about "Technical performance" patented technology

An object of the system according to the embodiment is to efficiently extract an excellent play of a player from a game video and create a highlight reel.SOLUTION: A system according to an embodiment includes a video analysis unit, a performance evaluation unit, a play extraction unit, and a highlight editing unit. The video analysis unit analyzes the game video. The performance evaluation unit evaluates movements and technical performances of the players based on the game video analyzed by the video analysis unit. The play extractor extracts an excellent play evaluated by the performance evaluator. The highlight editing unit edits a highlight reel by connecting the excellent plays extracted by the play extracting unit.SELECTED DRAWING: Figure 1

The application provides an engineering education system and method fusing explainable multi-objective intelligent optimization, and relates to the technical fields of intelligent education and artificial intelligence optimization. The method comprises the following steps: obtaining an initial engineering design scheme of a user, and obtaining a standardized multi-dimensional index vector through physical simulation analysis and logical analysis; configuring weights with structured reasons for each index, identifying critical weight values leading to decision reversal through sensitivity analysis, and then determining optimization objectives and constraint conditions; performing multi-objective optimization search using an explainable multi-objective optimizer, generating a Pareto optimal solution set and outputting explainable data; simultaneously generating a behavior interaction sequence of the user; generating a capability evaluation report of the user according to the behavior interaction sequence; and adjusting a preset teaching logic sequence according to the capability evaluation report to form a closed-loop teaching process. The application is suitable for cultivating and evaluating the decision-making ability of students in balancing technical performance and environmental sustainability in engineering design.

The application relates to a large model iterator-based global optimization method for main circuit parameters of equipment, and belongs to the field of power electronic equipment design.The method comprises the following steps: generating an initial parameter set by a parameter generation LLM; performing feasibility grouping based on a feasibility flag; judging the domination relationship of data in the feasible solution pool; judging the front stability; and performing decision by the parameter optimization LLM according to a termination flag and a maximum number of iterations to obtain a final main circuit parameter set.The application can realize systematic optimization meeting physical constraints through cooperation of multiple external tools when the calculation capacity of a large model is limited.Through the construction of a closed-loop feedback iteration mechanism, the parameters are strictly checked according to physical boundaries by using a steady-state analysis tool, and the data are grouped according to the Pareto domination logic; meanwhile, the front stability judgment and the differentiated optimization strategy are introduced, so that the physical feasibility of the design scheme is ensured, and the globally optimal design considering the technical performance and the economic cost is realized.

The invention relates to a computer-implemented method for operating a technical device by means of a client-server system, comprising a server (S) and clients (C1-C3) which are connected to one technical device (TD1-TD3) each, each technical device (TD1-TD3) keeping available a performance indicator for describing the technical performance capability in a specified future time interval, and the following steps being carried out: a) each client (C1-C3) carrying out a respective training for a provided respective local model (LM1-LM3) for operating the respective technical device (TD1-TD3) with at least one subset of provided training data, the size of the at least one subset of provided training data being defined by the performance indicator, b) the clients (C1-C3) providing the respective local models (LM1-LM3) to the server (S), c) the server aggregating the local models (LM1-LM3) to form a global model (GM), and providing the global model (GM) to the clients (C1-C3), d) each client (C1-C3) receiving the global model (GM), and updating the local model (LM1-LM3) by means of the previously received global model (GM), e) operating the technical device (TD1) by means of the previously updated local model (LM1-LM3).

This disclosure presents a method, device, and medium for dynamic allocation and task scheduling of edge-cloud computing power in park operations and maintenance, relating to the field of park operations and maintenance technology that integrates edge computing and cloud computing. The method includes: determining a first score for a first task in each dimension, and, based on a first weight, weighting and summing the first scores for each dimension to obtain a second score for the first task; determining the task priority corresponding to the second score, and, based on the task priority and the load status of candidate execution nodes, determining the target execution node type for the first task; using a genetic algorithm, determining the target execution node for the first task from multiple candidate execution nodes of the target execution node type; and executing the first task on the target execution node based on a protocol type matching the first task. This transforms park operations and maintenance from a passive, inefficient, and high-cost model to a proactive, intelligent, and highly economical new model, achieving comprehensive improvements in technical performance, commercial value, and system reliability.

The invention discloses a technical performance evaluation method and device for a field support safeguard system. The method comprises the following steps: obtaining a test index set of each subsystem; the test index set comprises test result information of a plurality of test indexes; the test result information is a data sequence; performing data preprocessing on all the test index sets to obtain a preprocessed index set; performing performance evaluation processing on the preprocessing index set to obtain a performance evaluation value set; and performing fusion evaluation processing on the performance evaluation value set to obtain a technical performance evaluation result value of the field support guarantee system.

The invention relates to model verification based on sub-model performance. Methods, systems, and computer readable media are disclosed herein for a concurrent comparison tool for evaluating sub-models of data model pipes in a deployed or pre-deployed environment. The tool may compute a plurality of performance measurements that quantitatively assess the performance of each sub-model in the data model pipeline based on a profile that facilitates confirmation of the technical performance and predictive accuracy of the sub-model. In addition, multiple versions of a sub-model deployed in a similar data model pipeline or in a pre-deployment environment may be comparatively evaluated. A leading version of the sub-model may be identified and deployed.

The invention discloses a method for checking the optimal design of the filter area of a corrugated filter element, which is based on the fluid mechanics principle, and scientifically designs and calculates the minimum allowable value of the filter area of the filter element according to the technical requirements of differential pressure flow characteristics of a hydraulic filter element, so as to achieve the design effect of obtaining the optimal cost performance of the technical performance of the filter element and the cost of a filter material. A designer is helped to calculate the minimum allowable value of the filtering area of the filter element, so that the filtering area of the filter element is optimally designed within the space limitation of the filter element, and the design effect of the optimal cost performance of the filter element is achieved.

The invention relates to a data processing method, system and device of an intelligent dragon boat paddle and a medium. The method comprises the following steps: acquiring original data of a rowing training process; preprocessing the original data to obtain synchronous data; based on the paddle motion data in the synchronous data, analyzing technical parameters of paddle postures to obtain a motion analysis report; on the basis of the physiological signal data in the synchronous data, the physiological load in the paddle training process is evaluated, and a training intensity report is obtained; and performing correlation comparison analysis on the action analysis report and the training intensity report to obtain a training insight report corresponding to the paddle training process. By adopting the method, the dynamic association between physiological feedback and technical performance can be objectively quantified, and the critical point of technical action decline under different load intensities is captured, so that the training effect is accurately evaluated.