Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions / Azizah A. Rahman
This project 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 b...
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| Format: | Thesis |
| Language: | English |
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2009
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| Online Access: | https://ir.uitm.edu.my/id/eprint/81510/1/81510.pdf |
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my-uitm-ir.815102023-11-08T09:55:40Z Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions / Azizah A. Rahman 2009 A. Rahman, Azizah This project 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. Based on the results presented, it can be concluded that the anti-radiation shield electromagnetic wave is effective in filtering off the harmful electromagnetic waves emitted from the ear piece of mobile phone. It is also observed that classification of samples with and without the anti-radiation shield is possible using the characteristics of human bioenergy. 2009 Thesis https://ir.uitm.edu.my/id/eprint/81510/ https://ir.uitm.edu.my/id/eprint/81510/1/81510.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abdul Rahman, Husna |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Abdul Rahman, Husna |
| description |
This project 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. Based on the results presented, it can be concluded that the anti-radiation shield electromagnetic wave is effective in filtering off the harmful electromagnetic waves emitted from the ear piece of mobile phone. It is also observed that classification of samples with and without the anti-radiation shield is possible using the characteristics of human bioenergy. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
A. Rahman, Azizah |
| spellingShingle |
A. Rahman, Azizah Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions / 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 / Azizah A. Rahman |
| title_short |
Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions / Azizah A. Rahman |
| title_full |
Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions / Azizah A. Rahman |
| title_fullStr |
Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions / Azizah A. Rahman |
| title_full_unstemmed |
Analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions / Azizah A. Rahman |
| title_sort |
analyzing the effectiveness of anti-radiation shield in reducing the effects of mobile phone emissions / azizah a. rahman |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2009 |
| url |
https://ir.uitm.edu.my/id/eprint/81510/1/81510.pdf |
| _version_ |
1783736329716105216 |