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The challenge of security based of fuzzy reasoning on the surveillance systems

机译:监测系统模糊推理的安全挑战

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Working with human behavior is very important, mainly if we consider the neuroscience impact over the security systems. We propose to discover the alarm behavior in different contexts, our study is based on movement expression and describe their behavior with positive and negative alerts values from fuzzy and Bayesian algorithms. The methodology used to provide our framework, to make it much more manageable for the fuzzy use. The conclusions of our research were focused on discover new tools to visualize what the to be developed in this field.
机译:使用人类行为非常重要,主要是我们认为神经科学对安全系统的影响。我们建议发现不同环境中的警报行为,我们的研究基于运动表达,并描述了模糊和贝叶斯算法的正负警报值的行为。用于提供我们框架的方法,使其更可管理模糊使用。我们的研究结论集中在发现新工具中,以可视化该领域的开发内容。

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