Implementation of a Mobile Device to Determine Danger in a Great City Based on Ubiquity

C. A. O. Zezzatti, Julio César Ponce Gallegos, Jons Sanchez, A. H. Aguirre, Alice Makalawele
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引用次数: 1

Abstract

Juarez City has been a victim of the consequences brought about organized crime, such as killing of innocent people as the main fact assaults, kidnappings, multi homicides, burglary, among other consequences, including 487500 people abandoned the city. What has pushed the population of the city to take action of different kinds to minimize the violence in a society with 17900 violent homicides during this period of time, the reason which we present the following project, which aims to provide people moving in this city a technological tool that provides an indicator to the user information based statistics compiled by the Centre for Social Research at Juarez City University and public sources so uncertain is the place where you are. This research try to combine a Mobile Device based on Cultural Algorithms and Data Mining to determine the danger of stay in a part of the city in a specific time.
基于普遍性的大城市危险识别移动设备的实现
华雷斯市一直是受害者带来的后果有组织的犯罪,如杀害无辜的人为主要事实袭击,绑架,多重杀人,入室盗窃等后果,包括487500人抛弃了这个城市。什么推动这个城市的人口不同类型的采取行动减少暴力与17900年的社会暴力杀人在这段时间里,我们提出以下项目的原因,旨在为人们在这个城市移动技术工具,提供了一个基于用户信息的统计指标编制的华雷斯城大学社会研究中心和公共资源所以不确定是你的地方。本研究尝试结合基于文化算法和数据挖掘的移动设备来确定在特定时间内停留在城市某个区域的危险性。
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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