9 results about "Matching game" patented technology

This application provides a button mapping method, electronic device, and system. According to the method provided, the electronic device can identify button areas in a game application using an image processing algorithm. Furthermore, to improve the accuracy of button area recognition, the electronic device can also adjust the image processing algorithm based on the user's touch frequency on the game screen. After identifying all button areas, the user can match all virtual buttons in the game application with the physical buttons on the game controller, establishing a mapping relationship. The user can then trigger the functions corresponding to the virtual buttons in the game application by controlling the physical buttons on the game controller, such as character movement, skill activation, and scene switching. Implementing the method provided in this application simplifies the user's steps in matching game controller buttons with game application buttons, improving the efficiency and accuracy of button matching, and enhancing the user experience.

This invention discloses a joint optimization method and system for task offloading and resource allocation based on SAGIN. It collects task and scheduling information through a SAG-IoT system; utilizes the task data and scheduling information to achieve optimal association between UAVs and IoT devices based on a matching game algorithm, and makes optimal decisions for task offloading to maximize the computational performance of the SAG-IoT system; based on optimal association, optimal task offloading decisions, and maximizing the computational performance of the SAG-IoT system, it constructs an online offloading framework based on deep reinforcement learning, constructing a path from input X(t) to optimal action x. * The low-complexity mapping strategy (t) is based on repeated interactions between different modules and a random environment, iterating and running sequentially to achieve joint optimization of task offloading and resource allocation. This invention achieves optimal computational performance while stabilizing the system queue. In addition to utilizing binary computation offloading, the optimization framework can also be extended to online partial computation offloading strategies consisting of multiple independent subtasks.

The application relates to the technical field of games, in particular to a game player matching method and device, electronic equipment and a storage medium. The application inputs game data of a plurality of to-be-matched players into a trained game battle matching model, and matches the plurality of to-be-matched players according to a global matching rationality condition, so that a target player team matching result of a plurality of matches that satisfy global maximum profit maximization as a whole can be determined. In this way, the application can not only match a plurality of matches at one time, but also ensure the global optimality of the matching result, so that the purpose of improving the global matching accuracy and the game balance is achieved.

The invention discloses a heterogeneous intelligent computing node service path planning and task scheduling method based on a bilateral matching game architecture, and relates to the technical field of edge computing application. The method comprises the following steps: firstly, obtaining information of a service demand side and an intelligent computing node; then, calculating a task scheduling strategy and a revenue matrix; secondly, planning a service path based on a bilateral matching game architecture; and finally, loading and operating the task scheduling strategy and the service path. According to the method, the actual total income of the task can be improved, intelligent computing node resources can be fully utilized, the input number of the intelligent computing nodes is further reduced, the algorithm complexity is low, and the method is suitable for a maneuvering service scene of multi-intelligent computing node mixed application with different computing capabilities.

1. Name of the product in this design: Toy (Matching Game). 2. Purpose of this design: For play. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention discloses a method for resource management and task scheduling of heterogeneous computing clusters for reconfigurable hardware accelerators, comprising: a management control node dividing time into equally spaced scheduling time slots; at each scheduling time slot, the management control node collecting request processing tasks arriving in the previous scheduling time slot and the currently idle computing resources of the heterogeneous computing cluster; the management control node establishing a three-sided matching game framework for request processing tasks, service functions, and heterogeneous computing nodes; the management control node defining the preference criteria of each party based on the optimization objective; the management control node running a three-sided stable matching algorithm for matching; the management control node offloading request processing tasks to the heterogeneous computing nodes where the matching service functions are located for processing based on the matching results; waiting for the next scheduling time slot to arrive, and repeating the above steps. This method can effectively reduce the total task processing latency while maintaining a high task completion rate and task satisfaction.

The present disclosure relates to a method and an apparatus for game matching, a storage medium, and an electronic device. The method includes: obtaining a team feature of a game team to be matched; obtaining, by a pre-trained clustering model, a target class cluster to which the game team to be matched belongs according to the team feature, the clustering model being obtained by training with a constraint goal of differing in game levels of sample game teams in different class clusters under different game room types and minimizing a quantitative difference of sample game teams in any two class clusters under different game room types; allocating the game team to be matched to a target matching pool according to the target class cluster and a game room type; and determining, in the target matching pool, a game team matched with the game team to be matched.

A multi-layer toy having at least one outer layer adjacent a planar layer or a ball where both the outer layer and the adjacent planar layer or ball each contain related information such that, in play, the information on the outer layer is made to align with the related information on the adjacent planar layer or ball. The information can comprise depictions of objects, things, characters, animals, or words, for a matching game, or the information can comprise numbers for a counting or mental math game. The toy is preferably sized to be hand-held.

The application discloses a game player matching method, device and equipment, and belongs to the technical field of computers. The method comprises the following steps: based on a matching request of a first game player, determining a first matching pool with the highest matching degree of the first game player from a plurality of candidate matching pools, and adding the first game player into the first matching pool; matching the first game player in the first matching pool; if the first game player is not matched successfully within a first reference time length and a second matching pool that satisfies a merging condition with the first matching pool exists in the plurality of candidate matching pools, merging the first matching pool and the second matching pool to obtain a first merged pool; matching the first game player in the first merged pool; and if the first game player is matched successfully within a second reference time length, starting a game match based on the information of the game player matched successfully. This method simultaneously considers matching reliability and matching success rate, is beneficial to improving the game player experience, and further improves the interaction rate of the game player and the game.