31 Result(s)
within
Lingxi Peng
English
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Chapter and Conference Paper
An Immune-Based Model for Service Survivability
In order to enhance service survivability, an immune-based model for service survivability, referred to as ISSM, is presented. In the model, the concepts and formal definitions of self, nonself, immunocyte, di...
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Chapter and Conference Paper
Artificial Immunity-Based Discovery for Popular Information in WEB Pages
An artificial immunity-based discovery method for popular information is proposed. Principles of evolution and concentration of antibodies in artificial immune system are simulated. Key words in web pages are ...
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Chapter and Conference Paper
A Supervised Classifier Based on Artificial Immune System
Artificial immune recognition system (AIRS) has been convincingly proved a highly effective classifier, which has been successfully applied to pattern recognition and etc. However, there are two shortcomings t...
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Article
Anomaly detection with artificial immune network
Inspired by the immune network theory, an adaptive anomaly detection paradigm based on artificial immune network, referred as APAI, is proposed. The implementation of the paradigm includes: initially, the firs...
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Chapter and Conference Paper
Modeling Enterprise Intelligence Component Based on Multi-Agents
The large-granularity software component is the basis for structuring complex enterprise software system. However, current components are small, and their coupling is close. Furthermore, a software entity is b...
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Chapter and Conference Paper
An English Letter Recognition Algorithm Based Artificial Immune
In the study of letter recognition, the recognition accuracy is impacted by fonts and styles, which is the main bottleneck that the technology is applied. In order to enhance the accuracy, a letter recognition...
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Chapter and Conference Paper
Document Classification with Multi-layered Immune Principle
Automatic document classification is helpful in both organizing and finding information on huge resources. A novel multi-layered immune based document classification algorithm is presented. First, we represent...
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Chapter and Conference Paper
Quantum Immune Algorithm and Its Application in Collision Detection
Collision detection is very important to improve the truth and immersion in the virtual environment. Firstly the paper analyzes the problems that exist in traditional algorithms. There is no algorithm suitable...
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Chapter and Conference Paper
Research of Modified Quantum Genetic Algorithm and It’s Application in Collision Detection
Collision detection is very important for improving the truth and immersion in the virtual environment. The paper analyzes the problems that exist in the normal algorithm. And there is no algorithm which is su...
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Chapter and Conference Paper
A Collision Detection Algorithm Based on Self-adaptive Genetic Method in Virtual Environment
Collision detection is very important to enhance the sense of reality and immersion in virtual environment. Most of the traditional collision detection algorithms have been analyzed, but there is no algorithm ...
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Chapter and Conference Paper
Opposition-Based Learning Estimation of Distribution Algorithm with Gaussian Copulas and Its Application to Placement of RFID Readers
Estimation of distribution algorithms are a class of optimization algorithms based on probability distribution model. In this paper, we propose an improved estimation of distribution algorithm using opposition...
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Chapter and Conference Paper
Network Security Evaluation Model Based on Cloud Computing
Cloud computing is an important innovation in the current computing model. The critical problem of cloud computing faced at present is the security issue. In the current network environment, that relying on a ...
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Chapter and Conference Paper
An Architecture for Cloud Computing and Human Immunity Based Network Intrusion Detection
Traditional intrusion detection system is confronted with the pressure of processing massive network traffic data which increases sharply. Besides, its feature of static detection causes the weak adaptability ...
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Chapter and Conference Paper
Velocity-Free Multi-Objective Particle Swarm Optimizer with Centroid for Wireless Sensor Network Optimization
A velocity-free multi-objective particle swarm optimizer with centroid is proposed and applied to optimization of wireless sensor network. Different from the standard PSO, particles in swarm only have position...
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Chapter and Conference Paper
Real-Valued Negative Selection Algorithm with Variable-Sized Self Radius
Negative selection algorithm (NSA) generates the detectors based on the self space. Due to the drawbacks of the current representation of the self space in NSAs, the generated detectors cannot enough cover the...
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Chapter and Conference Paper
Efficient Detect Scheme of Botnet Command and Control Communication
Botnet is an attack network composed of hundreds of millions of compromised computers. Botnet is emerging as the most serious threat against cyber-security and is used to launch Distributed Denial of Service (...
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Chapter and Conference Paper
Opposition-Based Learning Fully Informed Particle Swarm Optimizer without Velocity
By applying full information and employing the notion of opposition-based learning, a new opposition based learning fully information particle swarm optimiser without velocity is proposed for optimization prob...
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Chapter and Conference Paper
EDA-Based Multi-objective Optimization Using Preference Order Ranking and Multivariate Gaussian Copula
Estimation of distribution algorithms (EDAs) are a class of evolutionary optimization algorithms based on probability distribution model. This article extends the basic EDAs for tackling multi-objective optimi...
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Chapter and Conference Paper
Immune Network Risk Evaluation Model Based on the Spreading of Infectious Diseases
From the mechanism of infectious epidemic spreading, the theory of network epidemic spreading was studied in this paper. The process of the developments and changes of the network intrusion behaviors were anal...
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Article
An Automated Diagnosis System of Liver Disease using Artificial Immune and Genetic Algorithms
The rise of health care cost is one of the world’s most important problems. Disease prediction is also a vibrant research area. Researchers have approached this problem using various techniques such as support...
