scholarly journals TWO-CLASSIFICATION ARTIFICIAL IMMUNE SYSTEM

2017 ◽  
Vol 20 (7) ◽  
pp. 207-220
Author(s):  
M.E. Burlakov
Keyword(s):  
Immune System ◽  
Electronic Mail ◽  
Artificial Immune System ◽  
Practical Aspect ◽  
Artificial Immune ◽  
Closed Systems ◽  
Document Flow ◽  
Biological Immune System ◽  
Comparison Of Effectiveness

In the article the practical aspect of application of principles of biological immune system for solving the problem of analysis and classification of email is viewed. In the capacity of analyzed emails ordinary emails (electronic mail) and mails from closed systems (electronic document flow or business management systems) were taken. In the article two-classification artificial immune system was developed with further comparison of effectiveness of their usage with naive Bayesian classification algorithm. Practical realization of the developed system with the application in the system of analysis of emails of the commercial structure is carried out.

Automatic Selector Between Cardiogenic Oscillation and Airway Secretion in Mechanical Ventilation Flow Signals Using Artificial Immune System

2018 ◽  
Vol 9 (4) ◽  
pp. 65-78
Author(s):  
Samuel Sobral dos Santos ◽  
Hatus Vianna Wanderley ◽  
Fernando Buarque de Lima Neto
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Artificial Immune ◽  
Flow Signal ◽  
Specificity And Sensitivity ◽  
Airway Secretion ◽  
Artificial Immune System Algorithm ◽  
Ventilation Modes ◽  
Cardiogenic Oscillation

The accumulation of secretions in the airways of ventilator-dependent patients is a common problem, and if not detected and treated in due time, it greatly increases the risk of infections and asynchrony. Unfortunately, cardiogenic oscillation modifies the flow signal shape that can confuse clinical staff and modern lung ventilators. In this article, the authors use an artificial immune system algorithm in a pre-processed flow signal. The authors' approach was able to automatically detect the presence or absence of airway secretions, even if the sample contains the influence of cardiogenic oscillation. The training and validation of the algorithm was carried out using a database containing flow signals of 457 respiratory cycles, obtained from three patients in different ventilation modes. The algorithm trained with 60% of the base cycles, was able to achieve specificity and sensitivity above 0.96 in the classification of the remaining cycles of the base.

Immune System-Inspired Dynamic Multi-Robot Coordination

2009 ◽  
Author(s):  
Muhammad Tahir Khan ◽  
Clarence de Silva
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Autonomous Mobile Robots ◽  
Full Potential ◽  
Artificial Immune ◽  
Multirobot Coordination ◽  
Robot Systems ◽  
Novel Method ◽  
Biological Immune System ◽  
Multi Robot

This paper investigates multi-robot coordination for the deployment of autonomous mobile robots in order to carry out a specific task. A key to utilizing of the full potential of cooperative multi-robot systems is effective and efficient multi-robot coordination. The paper presents a novel method of multi-robot coordination based on an Artificial Immune System. The developed approach relies on Jern’s Immune Network Theory, which concerns how an antibody stimulates or suppresses another antibody and recognizes non-self antigens. In the present work, the robots are analogous to antibodies and the robotic task is analogous to an antigen in a biological immune system. Furthermore, stimulation and suppression in an immune system correspond to communication among robots. The artificial immune system will select the appropriate number of antibodies autonomously to eliminate the antigens. The developed method of multirobot coordination is verified by computer simulation.

scholarly journals RECONHECIMENTO DE FALHAS ESTRUTURAIS UTILIZANDO SISTEMA IMUNOLOGICO ARTIFICIAL WAVELET

2021 ◽  
Vol 12 (4) ◽  
pp. 82-88
Author(s):  
Fábio Roberto Chavarette ◽  
Roberto Outa ◽  
Igor Feliciani Merizio ◽  
Thiago Carreta Moro ◽  
Simone Silva Frutuoso de Souza ◽  
...  
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Structural Integrity ◽  
Electrical Energy ◽  
Steam Turbines ◽  
Artificial Immune ◽  
Novel Approach ◽  
Innovative Tool ◽  
Structural Failures

This work presents a novel approach for monitoring the structural integrity of a dynamic rotor basead in a intelligent methodology combined with a mathematical transform, the Wavelet artificial immune system. The combination of the artificial immune system with the Wavelet transform generates an innovative tool to perform the identification, localization and classification of structural failures. Through this methodology, industrial machine designs are developed to meet these needs, reducing failures and anticipating errors found in operating machines. An emergingarea of machine designs are rotating machines also called dynamic rotors, which are applied to aircraft turbines, steam turbines for the production of electrical energy, turbo-compressors, among others. To validate this methodology, experimental data are collected, and from this, different situations (normal condition and fault conditions) are generated, obtaining a database of signals, which were analyzed by the proposed method. The results obtained by the Wavelet Artificial Immune System are efficient and robust.

Sign in / Sign up

Export Citation Format

Share Document