The URA contains three components: (1) unified data model (UDD) including unified B-rep, unified feature and unified mesh; (2) unified data management (UDM) consisting of unified interaction, unified data structure, unified Constructive Solid Geometry (CSG) history and unified interface; (3) unified display and post-processor (UDP) for both design and performance analysis.
We propose a soft computing approach, unified feature matching (UFM), which greatly increases the robustness of the retrieval system against segmentation related uncertainties.
Based on an established unified feature modeling scheme, a software modeling framework is proposed to manage the design process of the production tools used for SAGD oil extraction.
This paper introduces a new method of modeling associative engineering relations in a unified feature modeling scheme and elaborates a change propagation algorithm for the information consistency control among multiple applications of product lifecycle stages.
The unified feature of the algorithm is based on the algebra of dual numbers and the Principle of Transference, which allows the extension of the algorithm developed for spherical linkages to their spatial counterparts by a simple dualization of the real geometric relations derived for the former.
To achieve high accuracy in recognizing the signal especially in low-SNR environments, the proposed method in this paper jointly exploits the features of signal in time and frequency domain, which was formulated as a unified feature function.
Xiang et al. investigate multi-source incomplete data for AD and introduce a unified feature learning model to handle block-wise missing data which achieves simultaneous feature-level and source-level selection [72].
With a focus on the subjects, the feature embedding methods, such as multi-view spectral embedding (MSE) [139] and multi-view local linear embedding (MLLE) [140], have been used to explore the geometric structures of local patches in multiple feature spaces and align the local patches in a unified feature space with maximum preservation of the geometric relationships.
In a similar vein, split-fovea processing also presents problems for processing exterior letters of words in Latinate languages, which have a privileged role as a unified feature in word recognition and provide valuable information about the physical length of a word and word identity [40], [85], [86].
Map any compounds onto the unified feature space based on the pharmacological similarities, and map any proteins onto the unified feature space based on the genomic sequence similarities.
