公开(公告)号：US11055464B2

公开(公告)日：2021-07-06

申请号：US16175687

申请日：2018-10-30

Applicant: Taiwan Semiconductor Manufacturing Co., Ltd.

Inventor： Chi-Ta Lu ,  Chi-Ming Tsai

IPC: G06F30/39 ,  G06F111/06

Abstract: A method includes receiving a pattern layout for a mask, shrinking the pattern layout to form a shrunk pattern, determining centerlines for each of a plurality of features within the shrunk pattern, and snapping the centerline for each of the plurality of features to a grid. The grid represents a minimum resolution size of a mask fabrication tool. The method further includes, after snapping the centerline for each of the plurality of features to the grid, fabricating the mask with the shrunk pattern.

公开(公告)号：US20210089929A1

公开(公告)日：2021-03-25

申请号：US17024917

申请日：2020-09-18

Applicant: XIANGTAN UNIVERSITY

Inventor： Juan Zou ,  Qite Yang ,  Tingrui Pei ,  Jinhua Zheng ,  Haibo Li ,  Shengqi Chen ,  Xiao Yang ,  Shengxiang Yang

IPC: G06N3/12 ,  G06Q10/04 ,  G06N3/08 ,  G06Q10/06 ,  G06F111/06

Abstract: The present invention provides a method and a system for train periodic message scheduling based on a multi-objective evolutionary algorithm, relating to the field of information and communications technology, mainly including: acquiring an MVB periodic message table; binary encoding the MVB periodic message table and initializing it randomly, to generate an iterative population; performing crossover and mutation operations on the individuals of the iterative population using a genetic algorithm, to update the iterative population; constructing an MVB periodic scheduling table that meets scheduling needs and minimizes the macro cycle according to a multi-objective algorithm and the updated iterative population; scheduling train periodic messages according to the MVB periodic scheduling table, thereby meeting the real-time requirement of periodic data transmission in actual scheduling scenarios.

公开(公告)号：US10915692B2

公开(公告)日：2021-02-09

申请号：US16909825

申请日：2020-06-23

Applicant: HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Xiaoping Zhang ,  Ji Liu ,  Ruirui Zhang

IPC: G06F30/00 ,  G06F30/398 ,  G06F30/20 ,  G06F111/06 ,  G06F111/10

Abstract: Taking parameters of a main circuit in a BBMC as optimization objects, and a total harmonic distortion of an output voltage of the BBMC, a deviation between an actual output current and a corresponding rated output current as optimization objectives, a mathematical model between optimization objects and optimization objectives is established. A multi-objective optimization satisfaction function and a multi-objective optimization fitness function are established by selecting a current rating as a rated output current of the BBMC. An adaptive wolf pack optimization algorithm is adopted to obtain a set of optimal parameters of the main circuit. The rated output current is changed to obtain n sets of optimal parameters, and functional relationships between the optimal parameters of the main circuit in the BBMC are obtained using a numerical fitting method. Optimal parameters of the main circuit corresponding to different current ratings are determined according to the functional relationships.

公开(公告)号：US10902483B2

公开(公告)日：2021-01-26

申请号：US15954740

申请日：2018-04-17

Applicant: LINDSAY CORPORATION

Inventor： Brian James Magnusson ,  Kurtis Arlan Charling

IPC: G06Q10/00 ,  G06Q30/02 ,  A01G25/00 ,  A01G25/09 ,  G06F30/17 ,  G06F30/20 ,  G06F111/06 ,  G06F113/14

Abstract: A computer-implemented method and computer program for designing and cost-estimating irrigation systems according to weather data, soil data, topography data, aerial imagery, and past yield data. Irrigation metrics such as evapotranspiration, irrigation system flow rate requirements, expected annual total water requirements, expected annual irrigation water requirements, supply point required pressure, end point required pressure, maximum irrigation acreage and crop yield and/or market value of lost yield under limited flow rate conditions, electric power generator size, pump size, pipeline supply system size, annual irrigation system usage, related equipment usage, operating costs, a sprinkler configuration, and other aspects of the irrigation systems may be optimized via an interactive user interface.

公开(公告)号：US10853528B2

公开(公告)日：2020-12-01

申请号：US14162159

申请日：2014-01-23

Applicant: HONDA RESEARCH INSTITUTE EUROPE GMBH

Inventor： Markus Olhofer ,  Nikola Aulig

IPC: G06F30/00 ,  G06F30/23 ,  G06F30/15 ,  G06F111/06 ,  G06F111/08

Abstract: In one aspect, a computer-assisted method for the optimization of the design of physical bodies, such as land, air and sea vehicles and robots and/or parts thereof, is provided comprising the steps of: representing the design to be optimized as a mesh, generating update signals to optimize the mesh representation, applying an optimization algorithm until a stop criterion has been reached, and outputting a signal representing the optimized design.

公开(公告)号：US10767448B2

公开(公告)日：2020-09-08

申请号：US15109671

申请日：2015-01-06

Applicant: Schlumberger Technology Corporation

Inventor： Hugues A. Djikpesse ,  Kashif Rashid ,  William J. Bailey ,  Michael David Prange ,  Benoit Couet

IPC: G06G7/48 ,  E21B41/00 ,  E21B43/00 ,  G06Q10/06 ,  G06F30/20 ,  E21B43/26 ,  E21B43/267 ,  E21B47/00 ,  E21B49/00 ,  G05B13/04 ,  G06Q50/02 ,  G06G7/50 ,  G06N3/04 ,  H04W16/12 ,  G06F30/00 ,  G06F111/06

Abstract: Managing oilfield operations include obtaining a subsurface model including a fracture design model having an fracture property with an uncertain value. A set of representative values that represent uncertainty in the fracture property is obtained and used to solve an oilfield optimization problem with a control variable to obtain a solution. The solution includes an optimal value for the control variable. Based on the solution, an oilfield design is generated and stored.

公开(公告)号：US10719653B2

公开(公告)日：2020-07-21

申请号：US15654363

申请日：2017-07-19

Applicant: Synopsys, Inc.

Inventor： Chien-Hung Lu ,  Chun-Chen Chi ,  Tung-Chieh Chen ,  Kai-Chih Chi

IPC: G06F30/394 ,  G06F30/00 ,  G06F111/06 ,  G06F119/10

Abstract: A computer implemented method of routing a net of an electronic circuit is disclosed. The net connects a plurality of pins of the electronic circuit. The method includes selecting, using one or more computer systems, first and second main spine routing tracks for respective first and second groups of pins of the net. The method also includes generating, using one or more computer systems, a first main spine wire on the selected first main spine routing track and a second main spine wire on the selected second main spine routing track. A router configured to perform the method is also disclosed.

公开(公告)号：US12159090B2

公开(公告)日：2024-12-03

申请号：US17338990

申请日：2021-06-04

Applicant: North China Electric Power University ,  State Grid Electric Vehicle Service Ltd.

Inventor： Dunnan Liu ,  Mingguang Liu ,  Xiaofeng Peng ,  Heping Jia ,  Wen Wang ,  Lingxiang Wang ,  Mengjiao Zou ,  Yue Zhang ,  Ye Yang ,  Shu Su ,  Desheng Bai

IPC: G06F30/27 ,  B60L58/10 ,  B60L58/14 ,  B60L58/16 ,  G06F30/25 ,  G06F119/06 ,  G06N3/006 ,  G06N5/01 ,  G06N7/01 ,  G06N20/10 ,  G06Q10/0631 ,  G06Q10/0635 ,  G06Q50/06 ,  H02J3/32 ,  B60L55/00 ,  G06F111/06 ,  G06F111/08 ,  G06Q10/04

Abstract: The invention relates to an optimal allocation method for stored energy coordinating electric vehicles (EVs) to participate in auxiliary service market (ASM), including the following steps: 1. Predict the reported capacity of daily 96 points for EVs to participate in the ASM by least square support vector machine (LSSVM). 2. Fit the daily total load distribution of EVs. 3. Determine the error distribution between the reported capacity and the actual response capacity, and simulate the total daily load capacity of EVs in the future with Monte Carlo method. 4. Calculate the energy storage capacity required by EVs daily participating in ASM. 5. Build the objective function to minimize the scheduling risk of auxiliary service. 6. Solve the energy storage model in step 5 with particle swarm optimization (PSO), and output the configuration results of optimal energy storage capacity and energy storage power. The invention can improve the adjustable capacity of EVs participating in ASM.

公开(公告)号：US20240386176A1

公开(公告)日：2024-11-21

申请号：US18786780

申请日：2024-07-29

Applicant: Taiwan Semiconductor Manufacturing Co., Ltd.

Inventor： Chi-Ta Lu ,  Chi-Ming Tsai

IPC: G06F30/39 ,  G06F111/06

Abstract: A method includes receiving a pattern layout for a mask, shrinking the pattern layout to form a shrunk pattern, determining centerlines for each of a plurality of features within the shrunk pattern, and snapping the centerline for each of the plurality of features to a grid. The grid represents a minimum resolution size of a mask fabrication tool. The method further includes, after snapping the centerline for each of the plurality of features to the grid, fabricating the mask with the shrunk pattern.

公开(公告)号：US20240362388A1

公开(公告)日：2024-10-31

申请号：US18560100

申请日：2021-09-13

Applicant: ELECTRIC POWER RESEARCH INSTITUTE. CHINA SOUTHERN POWER GRID ,  CHINA SOUTHERN POWER GRID

Inventor： Huan LI ,  Chuang FU ,  Shukai XU ,  Xiaobin ZHAO ,  Qingming XIN

IPC: G06F30/373 ,  G06F111/06

CPC classification number: G06F30/373 ,  G06F2111/06

Abstract: A method and a system for determining a direct current (DC) loop impedance are provided. The method includes: establishing an impedance model for a DC loop of a high-voltage direct current (HVDC) system; scanning parameters in the HVDC system based on the impedance model, to obtain a feasible region of each of the parameters; substituting, for each of the parameters, the parameter in the feasible region into a DC loop impedance equation, to obtain an impedance corresponding to the parameter, the DC loop impedance equation being obtained by transforming the impedance model; and comparing, for each of the parameters, the impedance corresponding to the parameter with a target impedance value, and determining the impedance that meets the target impedance value and the parameter corresponding to the impedance as an optimal impedance and an optimal parameter of the DC loop.