8results about How to "Meet expectations" patented technology

The present invention provides an exhaust system (6) for an internal combustion engine (4) having at least one exhaust pipe (7) originating from the internal combustion engine (4) and having an end portion (9) terminating at an outlet orifice (10) through which exhaust gases are released into the atmosphere. The end portion (9) of the exhaust pipe (7) has at least one movable wall (16) movable to different positions to change the width of the outlet orifice (10). The system includes: a motor-driven actuator (17) configured to move the movable wall (16) and capable of being electronically controlled; and a control unit (17) configured to change the position of the movable wall (16) by controlling the actuator (17) according to the rotational speed and engine load of the internal combustion engine (4).

The application discloses a game virtual role behavior decision-making method based on deep reinforcement learning, comprising the following steps: S1, obtaining the current environment state information of a game virtual role, and obtaining standardized environment state features after preprocessing the environment state information; S2, performing hierarchical reinforcement decision-making based on an intention-risk double-layer decoupling architecture, and generating a candidate behavior action set matching the current environment state; and S3, performing robustness screening on the candidate behavior action set through opponent counterfactual simulation, and the application relates to the technical field of game artificial intelligence. The game virtual role behavior decision-making method based on deep reinforcement learning performs robustness screening on the candidate behavior action through opponent counterfactual simulation, ensures that the selected behavior not only conforms to the current environment state, but also exhibits good stability and benefits under various possible opponent strategies, and greatly improves the ability of the game virtual role to cope with complex situations.

This invention discloses an intelligent visual prosthesis system and encoding method. The system includes an external sensing processing unit and an internal implanted stimulation unit. The external sensing processing unit includes at least an environment sensing unit and a first data processing unit, and the internal implanted stimulation unit includes at least a stimulation signal generation unit and an electrode array. The environment sensing unit is used to acquire a target image. The first data processing unit is used to match the current scene to a preset lighting scene mode according to the image features or ambient illuminance of the target image, independently configure anchor points for the corresponding image grayscale value boundaries for the matched lighting scene mode, and generate a grayscale-charge density mapping relationship corresponding to the lighting scene mode. Then, the grayscale value of each pixel of the target image is mapped to the corresponding target charge density, and a stimulation command is generated and output to the stimulation signal generation unit. The stimulation signal generation unit is used to generate an electrical stimulation pulse sequence according to the stimulation command and a preset reference pulse width and output it to the electrode array.

This invention discloses a dynamic control system and method for cigar flavor, relating to the field of cigar production technology. It includes: a flavor analysis module for analyzing volatile components in cigar tobacco leaves, performing sensory evaluation of the overall cigar flavor, and establishing a cigar flavor fingerprint; a demand acquisition module for collecting current consumer demand, gathering consumer personal information and cigar consumption habit data; and a consumer habit database for storing consumer personal information and cigar consumption habit data, and establishing a correlation model between consumer habits and cigar flavor characteristics through data mining and analysis techniques. The system of this invention can generate personalized cigar recipes based on consumers' personal information, consumption habits, and specific preferences, meeting consumers' personalized flavor needs and enhancing the consumer experience. Through a mathematical model of entry depth and flavor perception, combined with individual consumer habits, it refines recipe adjustment strategies, enhancing consumer participation and satisfaction.

The invention provides mochi premixed flour, mochi and a preparation method, and belongs to the technical field of food processing. The mochi premixed flour is prepared from the following components in parts by mass: 90 to 110 parts of low-gluten wheat flour, 60 to 80 parts of pre-gelatinized cassava starch, 25 to 35 parts of white granulated sugar, 1.5 to 2.5 parts of edible salt and 5 to 15 parts of whole milk powder. According to the mochi premixed flour, the low-gluten wheat flour and the pregelatinized cassava starch are used as main raw materials, protein in the wheat flour can form a gluten network, and mochi is endowed with certain toughness; the pre-gelatinized cassava starch can be gelatinized by means of high amylopectin content and high water absorption rate without heating cold water and stirring, a large amount of steam can be generated after baking to maintain the hollowness of the product, and meanwhile, the mochi has the unique taste of being soft, glutinous and elastic. A product prepared from the mochi premixed flour can keep the soft, glutinous and chewy taste of a baked mochi bag; meanwhile, after baking, the product has a relatively large volume expansion degree and is in a hollow state.

The application provides a kind of intelligent question and answer matching method, device, terminal and storage medium, it is related to artificial intelligence technical field, by according to user request data to the preset question and answer knowledge base is recalled, obtains candidate data;User request data and candidate data are input into precision sorting model and obtain full quantity difference vector;Key mutual information text feature is input into key mutual information auxiliary model and obtains key word difference vector;According to full quantity difference vector and key word difference vector, obtain the response data corresponding to user request data, solve the problem that the similarity between the text calculated by the traditional intelligent question and answer matching method is low in accuracy, affect the intelligent question and answer matching effect, by key mutual information auxiliary model, the key mutual information of request text and candidate text is fused, can make the response data obtained more in line with user's expectation and demand, realizes the convenience and real-time of intelligent question and answer in different complex scenarios.

Methods, systems, and computer-readable media include receiving requests for digital components from a user device; receiving a dataset of user-provided information about a particular product design; generating a visual representation based on the dataset that maps design factors to the geometry of a potential product design; segmenting the visual representation based on design factor values; selecting segments containing fewer than a threshold number of data points; selecting digital components; dynamically changing the presentation of the digital components from which information about the segments is solicited from the user based on the selected segments; distributing the dynamically changed digital components for presentation at the user device; obtaining feedback information from the user device about the segments containing fewer than a threshold number of data points via a feedback mechanism; and modifying design factors of a particular product design at least in part based on the feedback information.