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Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions: article / Azizah A. Rahman

This technical paper investigates the effectiveness of anti-radiation shield in reducing mobile phone emissions using resonant field imaging system (RFI) and artificial neural network (ANN). The RFI frequency counter was used to capture the human frequency of 30 students including male and female st...

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Main Author: A. Rahman, Azizah
Format: Article
Language:English
Online Access:https://ir.uitm.edu.my/id/eprint/97539/1/97539.pdf
https://ir.uitm.edu.my/id/eprint/97539/
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id my.uitm.ir.97539
record_format eprints
spelling my.uitm.ir.975392024-06-26T16:01:54Z https://ir.uitm.edu.my/id/eprint/97539/ Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions: article / Azizah A. Rahman A. Rahman, Azizah This technical paper investigates the effectiveness of anti-radiation shield in reducing mobile phone emissions using resonant field imaging system (RFI) and artificial neural network (ANN). The RFI frequency counter was used to capture the human frequency of 30 students including male and female students before and after using mobile phone with and without the anti-radiation shield. ANN was then used to further classify between samples using the mobile phone; with and without the anti-radiation shield. Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/97539/1/97539.pdf Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions: article / Azizah A. Rahman. pp. 1-7.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description This technical paper investigates the effectiveness of anti-radiation shield in reducing mobile phone emissions using resonant field imaging system (RFI) and artificial neural network (ANN). The RFI frequency counter was used to capture the human frequency of 30 students including male and female students before and after using mobile phone with and without the anti-radiation shield. ANN was then used to further classify between samples using the mobile phone; with and without the anti-radiation shield.
format Article
author A. Rahman, Azizah
spellingShingle A. Rahman, Azizah
Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions: article / Azizah A. Rahman
author_facet A. Rahman, Azizah
author_sort A. Rahman, Azizah
title Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions: article / Azizah A. Rahman
title_short Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions: article / Azizah A. Rahman
title_full Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions: article / Azizah A. Rahman
title_fullStr Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions: article / Azizah A. Rahman
title_full_unstemmed Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions: article / Azizah A. Rahman
title_sort analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions: article / azizah a. rahman
url https://ir.uitm.edu.my/id/eprint/97539/1/97539.pdf
https://ir.uitm.edu.my/id/eprint/97539/
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score 13.214268

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