EDCS: An enhanced distributed color selection algorithm for anti-collision in RFID system

2017 ◽  
Author(s):  
Nan Wang ◽  
Gang Xie ◽  
Yuanan Liu
Keyword(s):  
Selection Algorithm ◽  
Color Selection ◽  
Rfid System

Mathematical Inspiration for Color Choices in Oblique, Open-work Weaving

Leonardo ◽  
2021 ◽  
pp. 1-9
Author(s):  
Eva Knoll ◽  
Tara Taylor
Keyword(s):  
Equivalence Relations ◽  
Selection Algorithm ◽  
Color Selection ◽  
Starting Point ◽  
Open Work

Abstract The authors propose a connection between mathematical and aesthetic reasoning for the case of color selection in oblique, open-work woven artefacts. The general approach is first modelled on a set of open-work squares. Rotational symmetries of the square provide a mathematical starting point for a set of four open-work mats woven with paper strips. A mathematical eye, guided by concepts such as symmetries and equivalence relations, helps determine aesthetic choices for the set, specifically with respect to color. This color selection algorithm is then applied to a more complicated woven artefact.

Exact Optimum RAN Selection Algorithm for Heterogeneous-Type Cognitive Radio Networks

2014 ◽  
Vol 1 ◽  
pp. 652-655
Author(s):  
Takumi.Matsui Takumi.Matsui ◽  
Mikio.Hasegawa Mikio.Hasegawa ◽  
Hiroshi.Hirai Hiroshi.Hirai ◽  
Kiyohito.Nagano Kiyohito.Nagano ◽  
Kazuyuki.Aihara Kazuyuki.Aihara
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Selection Algorithm

An Enhancement of Feature Selection Algorithm for EDM: A Review

2018 ◽  
Vol 8 (5) ◽  
pp. 29
Author(s):  
Manpreet Kaur ◽  
Chamkaur Singh
Keyword(s):  
Feature Selection ◽  
Educational Data Mining ◽  
Problem Formulation ◽  
Research Area ◽  
Education Quality ◽  
Educational Institutions ◽  
Selection Algorithm ◽  
Positive Role ◽  
Data Set ◽  
Selection Algorithms

Educational Data Mining (EDM) is an emerging research area help the educational institutions to improve the performance of their students. Feature Selection (FS) algorithms remove irrelevant data from the educational dataset and hence increases the performance of classifiers used in EDM techniques. This paper present an analysis of the performance of feature selection algorithms on student data set. .In this papers the different problems that are defined in problem formulation. All these problems are resolved in future. Furthermore the paper is an attempt of playing a positive role in the improvement of education quality, as well as guides new researchers in making academic intervention.

Sign in / Sign up

Export Citation Format

Share Document