INSTITUTIONAL SUPPORT FOR THE SET-UP OF INNOVATION ECONOMY GROWTH POINTS IN RUSSIA by T. Popadyuk, Y. Bogachev, N. Abdikeyev

Subjects: “…economy “growth points”…”
Get full text

Getting to the Point: Defining, Reconstructing and Investigating Shape Through a Procrustean Protocol by Ben R. Wigley, Paul G. Blackwell

“…Similarly, following a simulation study, it was found the best approach to imputing missing points will depend upon the level of missingness and can have important implications for the identification of statistical signals, such as structural modularity. …”
Get full text

Nonstationary Equations for the Reaction Layer with the Degenerate Equilibrium Points by Aleksei A. Bykov, Kristina E. Ermakova

Get full text

STRUCTURAL RELIABILITY ANALYSIS METHOD BASED ON COLLABORATION-MEAN POINT CONSTRAINED ACTIVE LEARNING SURROGATE MODEL

“…The reliability of mechanical structures is crucial for their safe operation,to address the problem of low accuracy and low efficiency in reliability analysis of complex mechanical structures,a new active learning surrogate model based reliability analysis method was proposed.The spatial location characteristics of excellent fitting samples were studied and three constraints,such as surface constraint,distance constraint,and domain constraint,were proposed accordingly.Correspondingly,three control functions were established to achieve the three constraints.Then,three control functions were organically collaborated,and an effective new learning function,collaboration-mean point constrained learning(CPCL)function was proposed.Combined with the augmented radial basis function(ARBF),a collaboration-mean point constrained active learning surrogate model(ARBF+CPCL)reliability analysis method was established.Finally,three cases were employed to verify the high computational accuracy and computational efficiency of ARBF+CPCL reliability analysis method,and the application ability of ARBF+CPCL method in practical engineering cases was proved through the reliability analysis example of the turbine disk.…”
Get full text

Structural Analysis and 3D Reconstruction of Underground Pipeline Systems Based on LiDAR Point Clouds by Qiuyao Lai, Qinchuan Xin, Yuhang Tian, Xiaoyou Chen, Yujie Li, Ruohan Wu

“…This study proposes a framework for reconstructing underground pipelines based on unstructured point cloud data, aiming to accurately identify and reconstruct pipe structures from complex scenes. …”
Get full text

FE-Meshfree QUAD4 Element with Modified Radial Point Interpolation Function for Structural Dynamic Analysis by Hongjun Zhang, Guangsong Chen, Linfang Qian, Jia Ma

Get full text

Processing and analysis of images of microstructure metals for determining the grain point by R. P. Bohush, Y. R. Adamousky, S. F. Denisenak

Get full text

Les structures argumentatives de la locution adverbiale polyvalente jusqu’à un certain point by Constanze Armbrecht

“…This paper sketches out possible argumentation structures that are activated by the use of the adverbial jusqu’à un certain point as found in a corpus of examples taken from Le Monde. …”
Get full text

Numerical Method for Band Gap Structure and Dirac Point of Photonic Crystals Based on Recurrent Neural Network by Yakun Wang, Jianhua Yuan

“…In this paper, we propose a recurrent neural network numerical method with the finite element method for partial differential equations to study the band gap structure and Dirac points in two-dimensional photonic crystals. …”
Get full text

AC-field Induced Gap Opening in the Vicinity of Extra Dirac Points in Band Structure of Graphene Superlattice by S.V. Kryuchkov, E.I. Kukhar'

“…In the vicinity of extra Dirac points of superlattice band structure the gap was shown to be dynamically induced by the ac-field. …”
Get full text

A Refinement Reconstruction Method for Indoor Structures Based on 3D Point Cloud Template Matching by B. Cai, S. Tang, W. Wang, L. Xie, X. Li, R. Guo

Get full text

Constructing Rasterized Covariates from LiDAR Point Cloud Data via Structured Query Language by Rory Pittman, Baoxin Hu

Subjects: “…structured query language (SQL)…”
Get full text

Exploration of differentiation standard for primo through the histological common point of threadlike structure found in rats and swine by Sun Hee Yeon, O. Sang Kwon, Seong Jin Cho, Suk Yun Kang, Ji Young Moon, Yeonhee Ryu

“…The bright cell was confirmed to have been observed in the threadlike structures of both rat and swine. Conclusion: The bright cell is determined to be the common point in the primo structure. …”
Get full text

The development of two Point of Care Ultrasound stations for Objective Structured Clinical Examinations in undergraduate medical education by Ryan Good, Juliana Wilson, Joshua C Kaine, Vijay J Daniels, Janeve Dessy, Joshua Lloyd, Gillian Sheppard, Linden Kolbenson, Irene WY Ma, Arthur Au, Paul Adam Olszynski

“… Introduction: Point-of-care ultrasound (POCUS) is a valuable clinical skill that improves clinical care but requires substantial training. …”
Get full text

ForestAlign: Automatic forest structure-based alignment for multi-view TLS and ALS point clouds by Juan Castorena, L. Turin Dickman, Adam J. Killebrew, James R. Gattiker, Rod Linn, E. Louise Loudermilk

“…Our co-registration approach employs an incremental alignment strategy, grouping and aggregating 3D points based on increasing levels of structural complexity. …”
Get full text

A Fixed-Point Theorem for Ordered Contraction-Type Decreasing Operators in Banach Space with Lattice Structure by Chenguang Wang, Jinxiu Mao, Zengqin Zhao

Get full text

Automated Generation of Geometric FE Models for Timber Structures Using 3D Point Cloud Data by Lin Chen, Liufang Jiang, Haibei Xiong

Subjects: Get full text

The Fixed Point Property of Mean Non-expansive Mapping by CUI Yun-an, WANG Jing-chen

Subjects: Get full text

Nonreciprocal conversion based on line trajectory near exceptional points by Qingjie Liu, Wenrui Liu, Tong Li, Yingquan Ao, Shaolin Ke

Subjects: Get full text

An end-to-end deep learning framework for structural damage assessment using semantic segmentation and point cloud analysis by Kavin Karthik V, Aravind N, Suganya R, Ramani Kannan

“…To overcome these challenges, we propose a comprehensive pipeline that includes: (1) automated drone path planning to capture high-resolution 2D images of structures, (2) a novel Semantic Segmentation Hybrid model for segmentation of cracks and damages in structures, (3) 3D scene reconstruction from segmented multi-view 2D images using photogrammetry techniques, and (4) a novel 3D point cloud classification model built on PointNet for multi-class classification of damages on the 3D data to classify structural damage into three levels: No Damage, Heavy Damage, and Destruction. …”
Get full text