scholarly journals High Order Spatial Weighting Matrix Using Google Trends

2021 ◽  
Vol 8 (11) ◽  
pp. 388-396
Author(s):  
Fadhlul Mubarak ◽  
Atilla Aslanargun ◽  
Ilyas Sıklar

This research aimed to form a high-order spatial weighting matrix based on various simulations. The simulation was the determination of the center of the country based on the capital and google trend data. The keywords that have been used in the Google Trends data are "gold price" and "deposit". These keywords have been translated into 6 official languages of the United Nation including Arabic, Chinese, English, French, Russian, and Spanish. Each language has been represented by 1 country. The determination of the country center that has been used based on the capital as well as keywords and time influenced the form of the high-order spatial weighting matrix. In simulations 1, 2, 4, and 5 the highest spatial order formed was 6. It was different with simulations 3, 6, and 7 the highest spatial order formed was 5. Keywords: language, simulation, gold price, deposit.

Author(s):  
Y. Ishida ◽  
H. Ishida ◽  
K. Kohra ◽  
H. Ichinose

IntroductionA simple and accurate technique to determine the Burgers vector of a dislocation has become feasible with the advent of HVEM. The conventional image vanishing technique(1) using Bragg conditions with the diffraction vector perpendicular to the Burgers vector suffers from various drawbacks; The dislocation image appears even when the g.b = 0 criterion is satisfied, if the edge component of the dislocation is large. On the other hand, the image disappears for certain high order diffractions even when g.b ≠ 0. Furthermore, the determination of the magnitude of the Burgers vector is not easy with the criterion. Recent image simulation technique is free from the ambiguities but require too many parameters for the computation. The weak-beam “fringe counting” technique investigated in the present study is immune from the problems. Even the magnitude of the Burgers vector is determined from the number of the terminating thickness fringes at the exit of the dislocation in wedge shaped foil surfaces.


2000 ◽  
Vol 62 (2) ◽  
Author(s):  
Lora Nugent-Glandorf ◽  
Michael Scheer ◽  
M. Krishnamurthy ◽  
Jennifer W. Odom ◽  
Stephen R. Leone

2011 ◽  
Vol 127 ◽  
pp. 592-597 ◽  
Author(s):  
Jun Sun ◽  
Hai Zhe Liu

Constructed of high-order, multi-variable mathematical model of two balanced car, and using LQR algorithm relies on the powerful LabVIEW Control Toolkit, through continuously adjust the weighting matrix Q and R, designed the optimal secondary controller,it is better to balance the system robust stability and reaction fast, and by drawing out of the system output response curve, verify the correctness and the effectiveness of the controller.


2000 ◽  
Vol 144 (2) ◽  
pp. 266-279 ◽  
Author(s):  
Mattias Edén ◽  
Andreas Brinkmann ◽  
Henrik Luthman ◽  
Lars Eriksson ◽  
Malcolm H Levitt

2016 ◽  
Vol 120 (25) ◽  
pp. 5655-5661 ◽  
Author(s):  
Liliana G. Toscano-Flores ◽  
Damián Jacinto-Méndez ◽  
Mauricio D. Carbajal-Tinoco

2009 ◽  
Vol 27 (3) ◽  
pp. 621-629 ◽  
Author(s):  
Hailun He ◽  
Jinbao Song ◽  
Patrick J. Lynett ◽  
Shuang Li
Keyword(s):  

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