Poh, Abdul Halim and Moghavvemi, Mahmoud and Shafiei, M. M. and Leong, C. S. and Lau, Yee Ling and Adikan, Faisal Rafiq Mahamd and Bakhtiari, Majid and Hassan, Mahmood Ameen Abdulla (2017) Effects of low-powered RF sweep between 0.01-20 GHz on female Aedes Aegypti mosquitoes: a collective behaviour analysis. Plos One, 12 (6). ISSN 1932-6203
|
PDF
783kB |
Abstract
There are many products claiming to be an electronic solution towards repelling mosquitoes. Several reviews were published in debunking these claims. However, there is a lack of a systematic study on effects of electromagnetic (EM) or more specifically, radio frequency (RF) waves against mosquitoes due to the conclusions made in those years. Therefore, we attempt to establish a fundamental study on female Aedes Aegypti (Linnaeus) mosquitoes by quantifying the collective behavior of the mosquitoes against a continuous stream of low-powered RF signals via a broadband horn antenna using image processing methods. By examining the average lateral and vertical positions of the mosquitoes versus frequency and time, the data shows negligible consistency in the reactions of the mosquitoes toward the different frequencies ranging from 10 to 20,000.00 MHz, with a step of 10 MHz. This was done by examining 33 hours of spatiotemporal data, which was divided into three sessions. All three sessions showed totally different convolutions in the positions in arbitrary units based on the raster scan of the image processing output. Several frequencies apparently showed up to 0.2-70% shift in both lateral and vertical components along the spectrum, without repeatability for all three sessions. This study contributes to the following: A pilot study for establishing the collective effects of RF against mosquitoes, open-source use, and finally low-cost and easily adaptable platform for the study of EM effects against any insects.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | horn, image processing, non human |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computing |
ID Code: | 77380 |
Deposited By: | Fazli Masari |
Deposited On: | 29 Jun 2018 21:29 |
Last Modified: | 29 Jun 2018 21:29 |
Repository Staff Only: item control page