Boe Technology Group Co., Ltd.

Beijing University of Chemical Tehcnology

Haohan Wu

Dong Chai

Tian Lan

Guoliang Shen

Yue Tang

Fei Yuan

Hong Wang

Xuefeng Kan

Weihe Liu

Wei Zhang

Li Wang

Qiang Li

Zhiwei Li

Jianmin Wu

Qifan Tan

Suo Zhang

Tianyu Shen

Kunfeng Wang

Jianzhou Wang

Weizheng Zhang

Yingli Zeng

Guanchun Bai

Weiye Xiao

Tingzhen Zhang

Junxin Zhao

A multimodal perception decision-making method for autonomous driving based on a large language model includes: acquiring an RGB image and an infrared image of a target area at current time; processing the RGB image using a target detection model to obtain a predicted bounding box and a corresponding target detection category; processing the infrared image and the predicted bounding box and the corresponding target detection categories by using a segmentation model to obtain a target mask image; fusing the RGB image, the target mask image and the infrared image using a fusion model to obtain a fused feature map; performing fusion processing on first prompt information representing a user intent, second prompt information representing target detection category priorities, and the fused feature map, using a large Vision-Language Model to obtain textual information; and processing the textual information using a large natural language model to obtain a perception decision-making result.

Multimodal perception decision-making method and apparatus for autonomous driving based on large language model

The present disclosure provides a production programming system based on a nonlinear program model, including: a distributed storage device and an analysis device, wherein the analysis device includes a processor configured to obtain production record information; construct the nonlinear program model based on the production record information; and solve the nonlinear program model to obtain first feasible solutions. The nonlinear program model includes a constraint condition that satisfies process requirements and an objective function indicating pressure equilibrium across the same device set, and each of the first feasible solutions is configured to indicate a production program. The present disclosure further provides a production programming method and a computer-readable storage medium which can improve efficiency and reduce device idleness rate.

System and method for producing display panels based on nonlinear program model, and non-transitory computer-readable storage medium

A computer-implemented method for defect analysis is provided. The computer-implemented method includes calculating a plurality of weight-of-evidence (WOE) scores respectively for a plurality of device operations with respect to defects occurred during a fabrication period, a higher WOE score indicating a higher correlation between a defect and a device operation; and ranking the plurality of WOE scores to obtain a list of selected device operations highly correlated with the defects occurred during the fabrication period, device operations in the list of selected device operations having a WOE score greater than a first threshold score. A respective one of the plurality of device operations is a respective device defined by a respective operation site at which the respective device perform a respective operation.

Computer-implemented method for defect analysis, computer-implemented method of evaluating likelihood of defect occurrence, apparatus for defect analysis, computer-program product, and intelligent defect analysis system

A computer-implemented method for defect analysis is provided. The computer-implemented method includes calculating a plurality of weight-of-evidence (WOE) scores respectively for a plurality of device operations with respect to detects occurred during a fabrication period, a higher WOE score indicating a higher correlation between a defect and a device operation; and ranking the plurality of WOE scores to obtain a list of selected device operations highly correlated with the defects occurred during the fabrication period, device operations in the list of selected device operations having a WOE score greater than a first threshold score. A respective one of the plurality of device operations is a respective device defined by a respective operation site at which the respective device perform a respective operation.

According to the embodiments of the present disclosure, there is provided a method and device of detecting fault in production, and a computer readable storage medium. The method includes: determining whether a plurality of production paths in a production line are faultless in one or more production batches, based on production record data; and determining at least one of the plurality of production paths to be faulty, at least partially based on whether the plurality of production paths are faultless in the one or more production batches.

Method and device of detecting fault in production

A data management platform for intelligently managing data is provided. The data management platform includes an ETL module configured to extract, cleanse, transform, or load data; a data lake configured to store a first group of data formed by extracting raw data from a plurality of data sources by the ETL module; a data warehouse configured to store a second group of data formed by cleansing and standardizing on the first group of data; a general data layer configured to store a third group of data formed by subjecting the second group of data to data fusion; and a data mart configured to store a fourth group of data formed by transforming the third group of data by the ETL module. The general data layer is a distributed data storage storing information available for querying. The data mart is a database of NoSQL type storing information available for computational processing.

Data management platform, intelligent defect analysis system, intelligent defect analysis method, computer-program product, and method for defect analysis

A system for recommending a maximum quantity of work in process, in which one or more processors of a distributed storage device are configured to execute: acquiring at least part of production data stored in the distributed storage device, the production data includes quantity records and cycle time records of a production line in time periods, and the cycle time record of each time period includes a cycle time at each process station of the production line in said each time period; clustering the quantity records to obtain a plurality of initial classifications, each initial classification includes at least one quantity record; determining a portion of the initial classifications as preferred classifications; determining the maximum quantity of work in process at each process station; and a display device is configured to display the maximum quantity of work in process at each process station determined by an analysis device.

System and method for recommending maximum quantity of work in process, and computer readable medium

The present disclosure provides an electronic device, a method for generating a package drawing, and a computer readable storage medium. The electronic device includes a display device and a processor, the processor is configured to obtain a type of the element and size parameters corresponding to the element input by a user; determine a size and a position of each of pads corresponding to the element according to the type of the element and the size parameters corresponding to the element, and draw the pads; determine coordinates of endpoints of an entity layer corresponding to the element, and draw the entity layer; determine coordinates of endpoints of a height layer corresponding to the element, and draw the height layer; and determine coordinates of endpoints of a screen layer corresponding to the element, and draw the screen layer.

Electronic device, method for generating package drawing and computer readable storage medium

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Beijing, China

Haohan Wu