设计一个基于雾计算和物联网的犯罪侦查系统

IF 0.8 Q3 MULTIDISCIPLINARY SCIENCES Malaysian Journal of Fundamental and Applied Sciences Pub Date : 2023-05-26 DOI:10.11113/mjfas.v19n3.2906
Safa Riyadh Waheed, Ammar AbdRoba Sakran, Mohd Shafry Mohd Rahim, Norhaida Mohd Suaib, Fallah H Najjar, Karrar A. Kadhim, Ali Aqeel Salim, M. M. Adnan
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引用次数: 9

摘要

物联网(IoT)是一项前沿创新,它促进了智能系统架构的成本效益发展。虽然目前的法规要求安装模拟火灾报警系统,但这种系统缺乏及时通知相关方的智能。此外,由于人们并不总是在场,模拟火灾报警器将无法防止火灾发生时的直接危险或损害。因此,必须尽快向有关方面报告事故,以减轻火灾的影响。在本研究中,我们提出了一种由火灾传感器和声音传感器组成的智能火灾报警系统,该系统既可以探测火灾和噪音,也可以探测模拟火灾报警系统的状态,以确定模拟火灾报警系统是否正常运行。在投入使用之前,我们首先测试了我们提出的智能火灾报警系统,以确定其有效性。从那里,我们进行了实验,以确定它的效果如何。结果表明,该系统在一系列场景中是值得信赖的。
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Design a Crime Detection System based Fog Computing and IoT
The Internet of Things (IoT) is a cutting-edge innovation that facilitates the cost-effective development of smart system architectures. Although current regulations necessitate installing an analog fire alarm system, such a system lacks the intelligence to instantly notify the appropriate parties in a timely fashion. In addition, since people are not always present, an analog fire alarm will not be able to prevent immediate danger or damage in the event of a fire. Therefore, the incident must be reported as soon as possible to the appropriate party in order to lessen the impact of a fire. In this study, we suggest a smart fire-alarm system made of a fire sensor and a sound sensor that can both detect fire and noise as well as the status of the analog fire alarm system to ascertain whether the analog fire alarm system is operational. We first tested our proposed smart fire alarm system to determine its effectiveness before putting it into use. From there, we ran experiments to determine how well it worked. The outcomes show that the system is trustworthy in a range of scenarios.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
45
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