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4 results about "Sequential selection" patented technology

Method and system for algorithmic co-scheduling demand response bidding based on large model training task

The application discloses an algorithm electricity collaborative demand response bidding decision method and system based on large model training tasks, and relates to the technical field of power system dispatching. First, the power grid invitation signal is received and analyzed to construct an invitation signal feature set. Then, the state of the intelligent algorithm center is collected, and the computing power shadow price of each large model training task is calculated; the state space and action space are constructed according to the distribution characteristics of the invitation signal feature set and the computing power shadow price, the PPO algorithm is used to solve the optimal bid, and the optimal bidding strategy is output. If the bidding is successful, the adjusted task set is selected in the order from low to high according to the computing power shadow price of each large model training task, and hierarchical control is performed as needed. Through the hierarchical response mechanism and cost consideration, when interruption must be performed, the large model training task that has just completed the "checkpoint saving" is automatically locked and suspended through the computing power shadow price sorting, the impact on the training progress is minimized, and the safety of the model parameters is ensured.
Owner:CHENGDU GAOXIN RONGCHUANG XINHUA TECHNOLOGY DEVELOPMENT CO LTD

Method and system for generating product arrangement information by using product volume information

A method and system for generating product arrangement information by using product volume information is proposed. The proposed relates to a method for generating arrangement information when products are loaded into a box by using volume information of the products, and a system for executing the method. The method includes an initial solution set creation step of generating a plurality of first sample objects having randomly generated loading order information and rotation direction information from product specification data including product size information and product rotation direction count information and an arrangement information generation step of crossing a pair of the first sample objects with each other to generate a plurality of second sample objects, and selecting the plurality of first or second sample objects in order of priority so as to be reset as the first sample objects.
Owner:COLOSSEUM CORP INC

Clock throttler architecture

Clock throttler architecture including clock throttler circuitry, related methods and state machine, where the clock throttler circuitry includes: first selection circuitry to select a first pattern of a plurality of patterns in storage, where each pattern of the plurality of patterns comprises a plurality of bits; second selection circuitry to sequentially select bits of the first pattern and to provide the selected bits to clock gate circuitry in a successive manner; where the clock gate circuitry is to receive a clock input signal and to pass or gate pulses of the clock input signal responsive to applying the selected bits to generate a clock output signal.
Owner:ARM LTD

Passenger number estimation device and passenger number estimation method

PendingJP2026110267AData miningReal-time computing
To provide a new method for estimating the number of passengers on a train, based on the premise that each passenger's train selection tendencies are not the same. [Solution] From the trains included in the train timetable 310, multiple candidate trains corresponding to each passenger based on passenger demand data 312 are set. For each of the multiple candidate trains corresponding to each passenger based on passenger demand data 312, the following are calculated: 1) the probability of selection of the candidate train based on a simultaneous selection model, and 2) the probability of selection of the candidate train based on a sequential selection model. Based on the selection probabilities of 1) and 2), the probability of adoption of the candidate train is calculated, and the estimated number of passengers for each train in the train timetable 310 is estimated based on the aggregated adoption probabilities for each passenger and each candidate train.
Owner:RAILWAY TECHNICAL RESEARCH INSTITUTE