ACHIEVING OPTIMAL AVERAGE DATA NODE STORAGE UTILIZATION IN K-DIMENSIONAL POINT DATA INDEXES

Author(s):  
Evangelos Outsios ◽  
Georgios Evangelidis
2018 ◽  
Vol 2 (5) ◽  
pp. 820
Author(s):  
Raja Revolin Ismail

This research is a school action research that aims to improve teacher achievement through academicsupervision. This research was conducted at SD Negeri 009 Teluk Pauh, Cirenti District. The subjects of thisstudy were teachers of SD Negeri 009 Teluk Pauh, Cirenti Subdistrict with a total number of 12 people,consisting of 4 men and 8 women. This research was carried out in two cycles carried out based on the stages ofplanning, implementation and reflection. The data used is physical data. The average data analysis technique isdescriptive method. The results showed that teacher achievement motivation in the first cycle was 60.1% withgood categories and the cycle increased to 81.6% with very good categories.


2012 ◽  
Vol 40 (2) ◽  
pp. 60-82
Author(s):  
Ken Ishihara ◽  
Takehiro Noda ◽  
Hiroyuki Sakurai

ABSTRACT In contrast to the finite element method (FEM), which is widely used in the tire industry nowadays, some alternative methods have been proposed by academic communities over the past decade or so. The meshfree method is one of those new methodologies. Originally intended to remove the burden of creating the mesh that is inherent in FEM, the meshfree method relies on the point data rather than the mesh, which makes it much easier to discretize the geometry. In addition to those modeling issues, it has been found that the meshfree method has several advantages over FEM in handling geometrical nonlinearities, continuities, and so forth. In accordance with those emerging possibilities, the authors have been conducting research on the matter. This article describes the results of the authors' preliminary research on the applicability of the meshfree method to tire analyses, which include the theoretical outline, the strategy of tire modeling, numerical results, comparisons with results of FEM, and conclusions.


2002 ◽  
Author(s):  
David V. Oliver ◽  
Roy V. Ladner ◽  
Frank P. McCreedy ◽  
Ruth A. Wilson

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