9 results about "Rating system" patented technology

This invention discloses a hydrophobicity rating system for superhydrophobic surfaces of energy equipment, relating to the field of hydrophobicity rating technology. The system includes a data acquisition module, an optimal parameter combination module, a sample preparation module, a hydrophobicity quantification and evaluation module, a test closed-loop calibration module, and a hydrophobicity rating classification and output module. These modules are interconnected, and through their collaborative operation, the system quantifies, performs closed-loop calibration, and classifies the hydrophobicity index of superhydrophobic samples of energy equipment with different microstructures. The closed-loop calibration process fully considers both anti-icing and weather resistance, significantly improving the accuracy and generalization ability of the hydrophobicity rating results. This solves the problems of inaccurate evaluation results and inability to adapt to extreme field conditions caused by traditional evaluation systems relying solely on conventional laboratory environments, single physical tests, and empirical thresholds for rating. This enhances the intelligence level of hydrophobicity rating evaluation for superhydrophobic surfaces of energy equipment.

The present invention relates to a system (1) for evaluating and scoring the compliance of a driver with traffic rules while driving by analyzing data collected from the vehicle.

An information acquisition unit (S410 to S420) captures an API access log, which represents the usage status of an API according to a request from an application installed in a vehicle. A sales-related index generation unit (S480 to S490) generates a sales-related index according to a log aggregation value. This index is the result of aggregating the API access log for each vehicle classification, obtained by classifying the vehicle based on vehicle sales data, and for each API type. The sales-related index is an API index that indicates the degree of influence of the API on the application and a vehicle user. An output unit (S510) outputs the sales-related index.

This invention discloses an automatic scoring system and optimization method for picture-based writing in primary school Chinese language teaching, belonging to the field of intelligent education technology. The system includes an image understanding module, which analyzes the core elements, themes, and logic of images through a lightweight object detection and scene classification model; a text analysis module extracts text features from the dimensions of content relevance, language standardization, logical completeness, and imagination; a scoring model module outputs scores using a hybrid strategy of "rule-based scoring + model scoring"; a feedback generation module provides targeted suggestions; and an optimization module fine-tunes the model and dynamically updates the scoring criteria based on teacher feedback. The method achieves automated scoring through image analysis, text feature analysis, hybrid scoring, and feedback generation, and improves accuracy by combining grade-level adaptation and human-computer collaborative optimization. This solution solves the problems of low efficiency and inconsistent standards in manual grading, assists teachers in precise teaching, provides students with immediate guidance, adapts to the needs of digital education, and has significant practical value in teaching.

A method includes receiving data characterizing a number of documents, including data associating each document with a number of utility scores. Each utility score characterizes a different type of utility of the document to a consumer of the document. A subset of the documents is selected for presentation to a user, the selecting being based at least in part on the respective utility scores associated with each of the documents and the subset of documents is provided for presentation to the user.

Using long-term features and short-term features to reduce latency in providing recommendations is described. A user device in a session with an online system may request a recommendation. The online system identifies a set of recommendations based in part on the request. The online system retrieves long-term features for each of the set, and determines short-term features for each of the set. The short-term features are based on the session. The online system applies the long-term features and the short-term features to a scoring model that scores the recommendations of the set. The online system selects a subset of the set based on the scores, and provides the selected subset to a selector that selects a recommendation from the subset. The recommendation may be provided to the user device prior to expiration of a latency period associated with serving the recommendation request.

The application discloses an enterprise ESG report accounting and green credit linkage method, and the linkage method comprises the following steps: focusing on two major leading industries of new energy storage and new energy vehicles, relying on the existing intelligent energy and carbon emission management platform, carbon account scoring system and enterprise supply and demand docking platform infrastructure in the park; constructing a regional customized ESG rating technical system + data-fund-supply chain-talent 'four chain fusion' green financial linkage technical scheme of government-bank-enterprise cooperation; the depth fusion of green finance and environmental management is realized through parameterization algorithm design and digital technology. Develop an industry differentiation segmented function, realize dynamic adjustment of the weight with the capacity and supporting scale, adapt to the characteristics of the two major leading industries, and eliminate subjective bias.

The application belongs to the technical field of logistics scheduling, and discloses a fresh food distribution intelligent scheduling method based on performance constraint, which combs the whole-link core performance nodes from order generation to user signing, builds four-dimensional index library of product characteristics, user demand and the like, realizes dynamic updating of indexes by associating fresh food life cycle with real-time environment data; meanwhile, a three-level management and control system is divided and the default cost is quantified, a digital twin model and a constraint conflict prediction mechanism are combined to identify node constraint conflicts in advance, hard constraint is one-vote veto, and risk constraint is pre-control; a weighted K-means clustering algorithm model is constructed based on constraint priority, order dynamic aggregation and grouping are realized by combining taboo rules, and default risk after merging is avoided; meanwhile, a digital image including three dimensions and a four-level rating system are built for transport capacity, transport capacity matching is realized through two-level verification of hard constraint one-vote veto and comprehensive matching degree weighted calculation, and a transport capacity dynamic adaptation mechanism is matched to replace abnormal transport capacity in time.