scholarly journals Graph reconstruction from path correlation data

2018 ◽  
Vol 35 (1) ◽  
pp. 015001 ◽  
Author(s):  
Gregory Berkolaiko ◽  
Nick Duffield ◽  
Mahmood Ettehad ◽  
Kyriakos Manousakis
Keyword(s):  
Correlation Data ◽  
Graph Reconstruction

scholarly journals Graph reconstruction from the observation of diffused signals

2015 ◽  
Author(s):  
Bastien Pasdeloup ◽  
Michael Rabbat ◽  
Vincent Gripon ◽  
Dominique Pastor ◽  
Gregoire Mercier
Keyword(s):  
Graph Reconstruction

Positron Annihilation with Core Electrons in the Noble Metals

1974 ◽  
Vol 52 (4) ◽  
pp. 336-339 ◽  
Author(s):  
E. H. Becker ◽  
A. G. Gould ◽  
E. M. D. Senicki ◽  
B. G. Hogg
Keyword(s):  
Simple Model ◽  
Fermi Surface ◽  
Single Crystals ◽  
Positron Annihilation ◽  
Angular Correlation ◽  
Noble Metals ◽  
Correlation Data ◽  
Core Electrons

Experimental angular correlation curves for identically oriented single crystals of copper, silver, and gold have been obtained using "a point geometry" apparatus. The differences between these angular correlation data are compared to the differences predicted using a simple model of the Fermi surface combined with calculations of the theoretical core distributions.

Large-scale motion in the intermittent region of a turbulent boundary layer

1970 ◽  
Vol 41 (2) ◽  
pp. 283-325 ◽  
Author(s):  
Leslie S. G. Kovasznay ◽  
Valdis Kibens ◽  
Ron F. Blackwelder
Keyword(s):  
Boundary Layer ◽  
Turbulent Boundary Layer ◽  
Large Scale ◽  
Cross Correlation ◽  
Turbulent Regime ◽  
Conditional Sampling ◽  
Correlation Data ◽  
Measuring Techniques ◽  
Conditional Averaging ◽  
Scale Motion

The outer intermittent region of a fully developed turbulent boundary layer with zero pressure gradient was extensively explored in the hope of shedding some light on the shape and motion of the interface separating the turbulent and non-turbulent regions as well as on the nature of the related large-scale eddies within the turbulent regime. Novel measuring techniques were devised, such as conditional sampling and conditional averaging, and others were turned to new uses, such as reorganizing in map form the space-time auto- and cross-correlation data involving both the U and V velocity components as well as I, the intermittency function. On the basis of the new experimental results, a conceptual model for the development of the interface and for the entrainment of new fluid is proposed.

scholarly journals Multi-View Attribute Graph Convolution Networks for Clustering

2020 ◽  
Author(s):  
Jiafeng Cheng ◽  
Qianqian Wang ◽  
Zhiqiang Tao ◽  
Deyan Xie ◽  
Quanxue Gao
Keyword(s):  
Neural Networks ◽  
State Of The Art ◽  
Graph Embedding ◽  
Structured Data ◽  
Attention Networks ◽  
Graph Data ◽  
Graph Reconstruction ◽  
Node Attributes ◽  
Graph Neural Networks ◽  
Geometric Relationship

Graph neural networks (GNNs) have made considerable achievements in processing graph-structured data. However, existing methods can not allocate learnable weights to different nodes in the neighborhood and lack of robustness on account of neglecting both node attributes and graph reconstruction. Moreover, most of multi-view GNNs mainly focus on the case of multiple graphs, while designing GNNs for solving graph-structured data of multi-view attributes is still under-explored. In this paper, we propose a novel Multi-View Attribute Graph Convolution Networks (MAGCN) model for the clustering task. MAGCN is designed with two-pathway encoders that map graph embedding features and learn the view-consistency information. Specifically, the first pathway develops multi-view attribute graph attention networks to reduce the noise/redundancy and learn the graph embedding features for each multi-view graph data. The second pathway develops consistent embedding encoders to capture the geometric relationship and probability distribution consistency among different views, which adaptively finds a consistent clustering embedding space for multi-view attributes. Experiments on three benchmark graph datasets show the superiority of our method compared with several state-of-the-art algorithms.

scholarly journals The Effectiveness of O2O Strategy on E-Commerce Transactions

The Winners ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 9 ◽  
Author(s):  
Yulius Lie ◽  
Robertus Nugroho Perwiro Atmojo ◽  
Hery Harjono Muljo
Keyword(s):  
Positive Influence ◽  
Consumer Trust ◽  
Analysis Method ◽  
Quantitative Correlation ◽  
Online Marketplace ◽  
Online Sales ◽  
Trust Level ◽  
Correlation Data ◽  
The People ◽  
Research Outcome

This research wanted to show the development of e-commerce transaction brought something new to organizations to accelerate their business through online sales. The presence of online marketplace also gave positive impacts for organizations to run online sales. It was undeniable that e-commerce positively contributes to people’s lives, besides the negative side that most people are still reluctant to use it. Online-to-offline (O2O) was a strategy to direct online users to do offline activities in physical stores. With O2O, customers could buy products from the store after researching online, paying online, and picking up product from the store. The research aimed to find out more about factors that influence consumer trust level to do a transaction in online media, as well as to measure the effectiveness of O2O strategy on e-commerce. Furthermore, this research used a quantitative correlation data analysis method on critical factors that influence customer decision in doing ecommerce transaction, with non-experimental research. The research outcome is the overview of the effectiveness feature and O2O strategy that is provided by the online shopping provider in giving a positive influence for consumers to make purchases in e-commerce. This research also reflects how the people respond to the existence of a marketplace that complements its place with O2O service.

IMPROVEMENT OF TOMATO FRUIT SIZE AND MATURITY BY BACKCROSS BREEDING

1961 ◽  
Vol 41 (1) ◽  
pp. 24-30 ◽  
Author(s):  
Chas. Walkof
Keyword(s):  
Tomato Fruit ◽  
Fruit Size ◽  
Western Canada ◽  
Research Institutions ◽  
Breeding Method ◽  
Improvement Project ◽  
Breeding Lines ◽  
Correlation Data ◽  
Late Maturity ◽  
Backcross Breeding

The backcross breeding method was applied to a co-operative tomato improvement project that involved nine research institutions in Western Canada with highly effective results. Breeding lines have been obtained from the Earlinorth × Morden BB3 cross, in which fruit size was 117.15 per cent greater and maturity equal to Earlinorth. In other lines fruit size was 44.33 per cent greater and maturity 7 days earlier than Morden BB3. Combination improvement employing correlation data for selecting the largest-fruited, earliest-ripening genotypes contributed to breeding progress. Heritability estimates indicated the selection potential of the cross. The fasciation character was found to be associated with the development of large fruit size and late maturity in certain breeding lines.

scholarly journals Extraction of polydispersity information from photon correlation data

1989 ◽  
Vol 20 (1) ◽  
pp. 91-99 ◽  
Author(s):  
M. Bertero ◽  
P. Boccacci ◽  
C. De Mol ◽  
E.R. Pike
Keyword(s):  
Photon Correlation ◽  
Correlation Data
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