A Fan-Based Smart Selective Trap for Flying Insects

Diego A. A. Santos, R. Brandão, Gabriela A. C. Duarte, Debora R. Totti, Vasco Furtado, J. Rodrigues
{"title":"A Fan-Based Smart Selective Trap for Flying Insects","authors":"Diego A. A. Santos, R. Brandão, Gabriela A. C. Duarte, Debora R. Totti, Vasco Furtado, J. Rodrigues","doi":"10.1109/LATINCOM.2018.8613239","DOIUrl":null,"url":null,"abstract":"For several years, insect-borne diseases have been a major global concern. Countries with warmer climates are these disease vectors primary victims. However, due to rising global temperatures, countries with no history of insect-borne diseases have presented alarming statistics on the mosquitoes population lack control. Due to the importance of this subject, this paper proposes a smart and selective fan-based trap to capture the Aedes aegypti mosquito, main vector of diseases such as Yellow Fever, Dengue Fever, Zika, and Chikungunya. The central purpose of this study is the development of an electronic trap integrable to variable approaches of flying insects sensors. The trap is made up of a microcontroller that operates two DC fans arranged at the ends of an aerodynamic structure. The construction of a prototype validates the project through results evaluation and discussion.","PeriodicalId":332646,"journal":{"name":"2018 IEEE 10th Latin-American Conference on Communications (LATINCOM)","volume":"117 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 10th Latin-American Conference on Communications (LATINCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LATINCOM.2018.8613239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

For several years, insect-borne diseases have been a major global concern. Countries with warmer climates are these disease vectors primary victims. However, due to rising global temperatures, countries with no history of insect-borne diseases have presented alarming statistics on the mosquitoes population lack control. Due to the importance of this subject, this paper proposes a smart and selective fan-based trap to capture the Aedes aegypti mosquito, main vector of diseases such as Yellow Fever, Dengue Fever, Zika, and Chikungunya. The central purpose of this study is the development of an electronic trap integrable to variable approaches of flying insects sensors. The trap is made up of a microcontroller that operates two DC fans arranged at the ends of an aerodynamic structure. The construction of a prototype validates the project through results evaluation and discussion.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于扇形的飞虫智能选择陷阱
多年来,虫媒疾病一直是全球关注的一个主要问题。气候较暖的国家是这些病媒的主要受害者。然而,由于全球气温上升,没有虫媒疾病历史的国家出现了令人震惊的蚊子数量缺乏控制的统计数据。鉴于这一课题的重要性,本文提出了一种智能、选择性扇形诱捕器,用于捕获黄热病、登革热、寨卡病毒、基孔肯雅热等疾病的主要媒介埃及伊蚊。本研究的中心目的是开发一种可集成到各种飞虫传感器方法的电子陷阱。捕集器由一个微控制器组成,该微控制器操作两个位于空气动力学结构两端的直流风扇。原型的构建通过结果评估和讨论来验证项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Convolutional Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Images Performance Analysis of SDN Northbound Interfaces Performance of Multiple-Site Diversity and Its Relationship with Time Diversity in Tropical Regions Performance Analysis of the Circular Folding Cooperative Power Spectral Density Split Cancellation Algorithm for Spectrum Sensing Under Errors at the Quantized Report Channel Combining Metrics for Route Selection in SDWSN: Static and Dynamic Approaches Evaluation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1