scholarly journals Understanding the Stiff-to-Compliant Transition of the Meniscal Attachments by Spatial Correlation of Composition, Structure, and Mechanics

2019 ◽  
Vol 11 (30) ◽  
pp. 26559-26570 ◽  
Author(s):  
Alexander J. Boys ◽  
Jennie A. M. R. Kunitake ◽  
Corinne R. Henak ◽  
Itai Cohen ◽  
Lara A. Estroff ◽  
...  
Keyword(s):  
Spatial Correlation ◽  
Meniscal Attachments ◽  
Composition Structure

A Study on the Spatial Correlation between Roadkill and Traffic Accidents on Roads in Chungcheongnam-do

2018 ◽  
Vol 26 (2) ◽  
pp. 147-166
Author(s):  
Youngjune Oh ◽  
Gyoungju Lee
Keyword(s):  
Spatial Correlation ◽  
Traffic Accidents

Comparison of Nonlinear Spatial Correlation Models by the Influence of the Data Augmentation to the Classification Risk

2002 ◽  
Vol 7 (1) ◽  
pp. 31-42
Author(s):  
J. Šaltytė ◽  
K. Dučinskas
Keyword(s):  
Spatial Correlation ◽  
Random Fields ◽  
Data Augmentation ◽  
Gaussian Random Fields ◽  
Classification Rule ◽  
Numerical Comparison ◽  
First Order ◽  
Bayesian Risk ◽  
Correlation Models

The Bayesian classification rule used for the classification of the observations of the (second-order) stationary Gaussian random fields with different means and common factorised covariance matrices is investigated. The influence of the observed data augmentation to the Bayesian risk is examined for three different nonlinear widely applicable spatial correlation models. The explicit expression of the Bayesian risk for the classification of augmented data is derived. Numerical comparison of these models by the variability of Bayesian risk in case of the first-order neighbourhood scheme is performed.

Spatial Correlation and Diversity of Low-Latitude Multipath Multimode HF Skywave Radio Channels

2019 ◽  
Vol 9 (2) ◽  
pp. 110
Author(s):  
Indah Kurniawati ◽  
Gamantyo Hendrantoro ◽  
Wirawan Wirawan ◽  
Muhammad Taufik
Keyword(s):  
Spatial Correlation ◽  
Low Latitude ◽  
Radio Channels

Spatial correlation velocimetry in unsteady flows

1991 ◽  
Author(s):  
P. FAWCETT ◽  
N. KOMERATH
Keyword(s):  
Spatial Correlation ◽  
Unsteady Flows

Overstory tree and regeneration data from the "Silvicultural Effects on Composition, Structure, and Growth" study at Penobscot Experimental Forest (2nd Edition)

2015 ◽  
Author(s):  
Laura S. Kenefic ◽  
Nicole S. Rogers ◽  
Joshua J. Puhlick ◽  
Justin D. Waskiewicz ◽  
John C. Brissette
Keyword(s):  
Growth Study ◽  
Composition Structure ◽  
Overstory Tree

SHS in the Si–CO2 System: Composition/Structure of Combustion Products

2020 ◽  
Vol 29 (3) ◽  
pp. 138-142
Author(s):  
T. V. Barinova ◽  
V. Yu. Barinov ◽  
V. N. Semenova ◽  
I. D. Kovalev
Keyword(s):  
Combustion Products ◽  
System Composition ◽  
Composition Structure

Strengthening coatings on cutting tools (analytical review of international conference literature)

2020 ◽  
pp. 234-240
Author(s):  
V.A. Levchenko ◽  
Yu.V. Panfilov
Keyword(s):  
Cutting Tools ◽  
International Standards ◽  
Structure And Properties ◽  
International Conference ◽  
Analytical Review ◽  
Composition Structure ◽  
Analytical Equipment

Tendency of strengthening coatings on cutting tools processes evolution is analyzed. Manifold of strengthening materials, strengthening coatings deposition methods, process and analytical equipment for coatings manufacture and measurement of it’s properties is described. International standards for strengthening coatings on cutting tools composition, structure and properties are presented.

A Study of Malware Propagation Dynamics in Wireless Sensor Network using Spatially Correlated Security Model

2020 ◽  
Vol 13 ◽  
Author(s):  
Satya Ranjan Biswal ◽  
Santosh Kumar Swain
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Network ◽  
Spatial Correlation ◽  
Malicious Code ◽  
Wireless Sensor ◽  
Epidemic Theory ◽  
Malware Propagation ◽  
Proposed Model ◽  
Propagation Dynamics

: Security is one of the important concern in both types of the network. The network may be wired or wireless. In case of wireless network security provisioning is more difficult in comparison to wired network. Wireless Sensor Network (WSN) is also a type of wireless network. And due to resource constraints WSN is vulnerable against malware attacks. Initially, the malware (virus, worm, malicious code, etc.) targets a single node of WSN for attack. When a node of WSN gets infected then automatically start to spread in the network. If nodes are strongly correlated the malware spreads quickly in the network. On the other hand, if nodes are weakly correlated the speed of malware spread is slow. A mathematical model is proposed for the study of malware propagation dynamics in WSN with combination of spatial correlation and epidemic theory. This model is based on epidemic theory with spatial correlation. The proposed model is Susceptible-Exposed-Infectious-Recover-Dead (SEIRD) with spatial correlation. We deduced the expression of basic reproduction number. It helps in the study of malware propagation dynamics in WSN. The stability analysis of the network has been investigated through proposed model. This model also helps in reduction of redundant information and saving of sensor nodes’ energy in WSN. The theoretical investigation verified by simulation results. A spatial correlation based epidemic model has been formulated for the study of dynamic behaviour of malware attacks in WSN.

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