Dynamic Fuzzy Model to Detect Verbal Violence in Real Time

Obed Campos, Pablo Pancardo García, J. Hernández-Nolasco
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引用次数: 1

Abstract

The crime rates in Mexico have been increasing in recent years, every day there are news on social media and in the news where assaults and verbal aggressions by criminals can be seen. Public transportation units suffer from violence that authorities have not been able to reduce, despite their efforts. That is why we have developed a fuzzy logic model that can adapt to almost any scenario thanks to the dynamism that we have implemented in each one of its stages. We have obtained promising results that we believe will be of great help to the authorities in the police headquarters to detect in real time the exact moment in which a verbal aggression typical of a violent assault is happening. This is a tool to help the authorities, not a substitution; making use of the latest technologies available to us.
动态模糊模型实时检测语言暴力
近年来,墨西哥的犯罪率一直在上升,社交媒体上每天都有新闻,新闻中可以看到罪犯的攻击和言语攻击。公共交通单位遭受暴力,尽管当局做出了努力,但仍无法减少暴力。这就是为什么我们开发了一个模糊逻辑模型,由于我们在每个阶段都实现了动态,它几乎可以适应任何场景。我们已经获得了很有希望的结果,我们相信这将对警察总部的当局有很大的帮助,以便实时发现典型的暴力攻击的言语攻击正在发生的确切时刻。这是一种帮助当局的工具,而不是替代品;充分利用我们所拥有的最新技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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