Randomness and Pattern Scale in the Immune Network: A Cellular Automata Approach

2018 ◽  
pp. 231-252 ◽  
Author(s):  
Rob J. de Boer ◽  
Jan D. van der Laan ◽  
Pauline Hogeweg
Keyword(s):  
Cellular Automata ◽  
Immune Network ◽  
Pattern Scale

MODELING IMMUNE NETWORK THROUGH CELLULAR AUTOMATA: A UNIFIED MECHANISM OF IMMUNOLOGICAL MEMORY

1994 ◽  
Vol 05 (06) ◽  
pp. 1049-1072 ◽  
Author(s):  
DEBASHISH CHOWDHURY ◽  
VARSHA DESHPANDE ◽  
DIETRICH STAUFFER
Keyword(s):  
Population Dynamics ◽  
Cellular Automata ◽  
Immunological Memory ◽  
Cell Types ◽  
Shape Space ◽  
Primary Response ◽  
Dynamical Process ◽  
Immune Network ◽  
Different Types ◽  
Stimulation Of

The populations of the various types of immunocompetent cells in the immune system are described as cellular automata and the population dynamics of these cells are formulated in terms of dynamical maps in discrete time. Both intra-clonal interactions (i.e., interactions among the cell types belonging to the same clone) and inter-clonal interactions (i.e., interactions among the cell types belonging to different clones) are included in the models proposed here. While the intra-clonal interactions are shown to play a crucial role in the primary response of some clones and in the formation of the immunological memory, the inter-clonal interactions are responsible for retaining the memory through a dynamical process driven by the mutual stimulation of the clones. We present the results for two different types of connectivity, namely, a “necklace” network and a network in “shape space”.

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

Internal Variable and Cellular Automata-Finite Element Models of Heat Treatment

2010 ◽  
Vol 8 (3) ◽  
pp. 267-285 ◽  
Author(s):  
Piotr Maciol ◽  
Jerzy Gawad ◽  
Roman Kuziak ◽  
Maciej Pietrzyk
Keyword(s):  
Heat Treatment ◽  
Finite Element ◽  
Cellular Automata ◽  
Internal Variable ◽  
Finite Element Models

New topics on immunology. 2. Immunoglobulin and immune network.

1985 ◽  
Vol 47 (2) ◽  
pp. 286-291
Author(s):  
SHOICHI ASAHI
Keyword(s):  
Immune Network

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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