Binocular Matching Model Based on Hierarchical V1 and V2 Receptive Fields With Color, Orientation, and Region Feature Information

2020 ◽  
Vol 67 (11) ◽  
pp. 3141-3150
Author(s):  
Hui Wei ◽  
Cheng Xu ◽  
Zifeng Jin
Keyword(s):  
Receptive Fields ◽  
Matching Model ◽  
Model Based ◽  
Feature Information ◽  
Binocular Matching ◽  
Region Feature

scholarly journals Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis

2020 ◽  
Vol 9 (4) ◽  
pp. 394-409
Author(s):  
Saikiran Gopalakrishnan ◽  
Nathan W. Hartman ◽  
Michael D. Sangid
Keyword(s):  
Information Exchange ◽  
Computer Aided Design ◽  
Data Exchange ◽  
Relevant Information ◽  
Material Behavior ◽  
Information Network ◽  
Digital Twin ◽  
Model Based ◽  
Feature Information ◽  
Damage Tolerant

AbstractThe digital transformation of manufacturing requires digitalization, including automatic and efficient data exchange. Model-based definitions (MBDs) capture digital product definitions, in order to eliminate error-prone information exchange associated with traditional paper-based drawings and to provide contextual information through additional metadata. The flow of MBDs extends throughout the product lifecycle (including the design, analysis, manufacturing, in service life, and retirement stages) and can be extended beyond the typical geometry and tolerance information within a computer-aided design. In this paper, the MBDs are extended to include materials information, via dynamic linkages. To this end, a model-based feature information network (MFIN) is created to provide a comprehensive framework that facilitates storing, updating, searching, and retrieving of relevant information across a product’s lifecycle. The use case of a damage tolerant analysis for a compressor bladed-disk (blisk) is demonstrated, in Ti-6Al-4V blade(s) linear friction welded to the Ti-6Al-4V disk, creating well-defined regions exhibiting grain refinement and high residuals stresses. By capturing the location-specific microstructure and residual stress values at the weld regions, this information is accessed within the MFIN and used for downstream damage tolerant analysis. The introduction of the MFIN framework facilitates access to dynamically evolving data for use within physics-based models (resulting in the opportunity to reduce uncertainty in subsequent prognosis analyses), thereby enabling a digital twin description of the component or system.

Forecasting Short-Term Oil Price with a Generalised Pattern Matching Model Based on Empirical Genetic Algorithm

2018 ◽  
Vol 55 (4) ◽  
pp. 1151-1169 ◽  
Author(s):  
Lu-Tao Zhao ◽  
Guan-Rong Zeng ◽  
Ling-Yun He ◽  
Ya Meng
Keyword(s):  
Genetic Algorithm ◽  
Pattern Matching ◽  
Oil Price ◽  
Short Term ◽  
Matching Model ◽  
Model Based

Research on the Spot Color Matching System Based on Ink Volume

2010 ◽  
Vol 174 ◽  
pp. 64-67
Author(s):  
Wei Guo Bai ◽  
Xing Yue Hu ◽  
Yan Yan
Keyword(s):  
Visual Experience ◽  
Color Matching ◽  
Matching Model ◽  
Primary Color ◽  
Model Based ◽  
Spot Color

The admixture of Spot-color ink is generally determined by experience to make sure the type of primary color and the use of each ink, and then change the proportion of each primary color by the chromaticity control or visual experience. While this approach is difficult to admixture a qualified spot color ink, it also easily leads to the waste of ink. This paper did many researches and experiments on how to establish a spot color matching system based on the calculation of ink. Through the calculation of the largest ink thickness on paper, the model of the total estimated amount of printing based on image is established. Then this paper adopts the method of three stimulate value matching to establish the spot-color matching model based on Kubelka-Munk law. Through the combination of these two models above, spot color matching system based on ink calculation is finally established, and verified through the actual printing.

scholarly journals Multi-Feature Fusion: A Driver-Car Matching Model Based on Curve Comparison

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 83526-83535
Author(s):  
Xianwei Meng ◽  
Hao Fu ◽  
Guiquan Liu ◽  
Lei Zhang ◽  
Yang Yu ◽  
...  
Keyword(s):  
Feature Fusion ◽  
Matching Model ◽  
Model Based
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