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Using random sequence detection method to create random visual simulation system research and exploration

Author: YuZhiQiang
Tutor: ZhengZhiJie
School: Yunnan University
Course: Computer System Architecture
Keywords: Randomness test Cellular Automata Visualization Simulation Classification
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 28
Quote: 0
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Abstract


Cryptography is a core part of information security technology, the advanced encryption technology, the random sequence plays an important role. Numerical sequence randomness test models and methods in the field of information security is vital to research. In addition to applications in the security field, random testing of models and methods are also widely used communication protocols, environmental simulation, analysis and other natural characteristics of the realm of science and technology applications. Currently on randomness qualitative and quantitative analysis has been more in-depth study on the randomness relatively visualization research is still relatively weak. In this paper, how to design a stable, fast, easy to use random sequence generation / detection / visualization environment for the level of research models and methods, including the following aspects: introduction of cellular automata, random testing technology, The basic theory of visualization technology and development, from the perspective of establishing simulation platform environment designed three core subsystems: sequence generation system (cellular automata systems), random inspection system, random visualization system. In the sequence generation system on cellular automata has been studied, the survival rate and the introduction of the concept of additive rule element, and used to construct cellular automata system classification module, through systematic simulation experiments, the yuan dynamical behavior of cellular automata conducted a preliminary classification. By Category discovered that certain cellular automata rules in different initial conditions with special properties, the paper focuses on the special nature of these cellular automata classification for the impact. The randomness of the random sequence detection system detection and determination method for the study, defines the hierarchical division model to improve the detection efficiency and accuracy. System can use 102 to 107 orders of magnitude of random sequences were detected from randomness randomness stability, and many other local random inspection sequence, get a lot of experimental data. Visualization system randomness of several complementary methods for visualization studies was constructed using these methods visualization system for the visual representation of randomness provides the means and results analysis. Article from the specific rules of cellular automata random nature of roadway cellular sequence starting on the randomness of random sequences conducted a preliminary analysis and classification, as well as cellular automata classification is an effective adjunct. Through systematic analysis and simulation, the system for in-depth understanding of random sequence visualization modes are obviously help, worthy of further in-depth exploration.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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