Text Clustering by 2D Cellular Automata Based on the N-Grams

2010 ◽  
Author(s):  
Reda Mohamed Hamou ◽  
Ahmed Lehireche ◽  
Ahmed Chaouki Lokbani ◽  
Mohamed Rahmani
Keyword(s):  
Cellular Automata ◽  
Text Clustering

Does 3D Cellular Automata Using WordNet Can Improve Text Clustering?

2014 ◽  
Vol 4 (2) ◽  
pp. 16-28
Author(s):  
Abdelmalek Amine ◽  
Reda Mohamed Hamou ◽  
Michel Simonet
Keyword(s):  
Cellular Automata ◽  
Text Clustering

Bio-Inspired Techniques in the Clustering of Texts

2015 ◽  
Vol 6 (4) ◽  
pp. 39-68 ◽  
Author(s):  
Reda Mohamed Hamou ◽  
Hadj Ahmed Bouarara ◽  
Abdelmalek Amine
Keyword(s):  
Cellular Automata ◽  
Large Scale ◽  
Access Network ◽  
Text Clustering ◽  
Artificial Immune ◽  
Starting Point ◽  
The World ◽  
Representation Method ◽  
Configuration Similarity ◽  
The Ideal

Today, the development of a large scale access network internet/intranet has increased the amount of textual information available online/offline, where billions of documents have been created. In the last few years, bio inspired techniques which invaded the world of text-mining such, as clustering, represents a critical problem in the digital society especially over the world of information retrieval (IR). The content of this article is a recapitulation of a set of works as a comparative study between the authors' experiments realized by applying a set of bio-inspired techniques (social spiders(SS), 2D Cellular automata (2D-CA), 3D cellular automata (3D-CA), Artificial immune system (AIS), Particle swarm optimization (PSO)) and other techniques founded in literature (Ants Colony Optimization (ACO) and Genetic algorithms (GAs)) for solving the text clustering challenge by using the benchmark Reuter 21785. They analyse the different results in term of entropy, f-measure, execution time, and clusters number in order to find the ideal configuration (similarity measure and text representation method) for each technique. Their objectives are to improve the efficiency of text clustering systems and make decisions that can be the starting point for other researchers.

A TCAD tool for the simulation of the CVD process based on cellular automata

2001 ◽  
Vol 11 (PR3) ◽  
pp. Pr3-205-Pr3-212
Author(s):  
G. Ch. Sirakoulis ◽  
I. Karafyllidis ◽  
A. Thanailakis
Keyword(s):  
Cellular Automata

On the use of cellular automata as space-borne calculation systems

1998 ◽  
Vol 4 (4) ◽  
pp. 49-54
Author(s):  
V.А. Val'kovskii ◽  
◽  
D.D. Zerbino ◽  
Keyword(s):  
Cellular Automata

Improved Quantum Dot Cellular Automata 4:1 Multiplexer Circuit Unit

2014 ◽  
Vol 2014 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Arighna Sarkar ◽  
◽  
Debarka Mukhopadhyay ◽  
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
Quantum Dot Cellular Automata

Enhanced Security Authentication of WiMAX using EC3A

2017 ◽  
Vol 7 (8) ◽  
pp. 219
Author(s):  
Mohd Javed ◽  
Khaleel Ahmad ◽  
Ahmad Talha Siddiqui
Keyword(s):  
Cellular Automata ◽  
Elliptic Curve ◽  
Elliptic Curve Cryptography ◽  
Information Rate ◽  
Security Authentication ◽  
Encryption And Decryption ◽  
High Information

WiMAX is the innovation and upgradation of 802.16 benchmarks given by IEEE. It has numerous remarkable qualities, for example, high information rate, the nature of the service, versatility, security and portability putting it heads and shoulder over the current advancements like broadband link, DSL and remote systems. Though like its competitors the concern for security remains mandatory. Since the remote medium is accessible to call, the assailants can undoubtedly get into the system, making the powerless against the client. Many modern confirmations and encryption methods have been installed into WiMAX; however, regardless it opens with up different dangers. In this paper, we proposed Elliptic curve Cryptography based on Cellular Automata (EC3A) for encryption and decryption the message for improving the WiMAX security

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