Modelling of the state of consciousness during G-force loading using neural network
G-induced loss of consciousness is a major risk for fighter pilots and a very real threat to both the aircraft operator as well as the lost of aircraft itself. Artificial Neural Networks is an excellent classification tool which is capable of fitting function, pattern recognition, data clustering an...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2011
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/45749 |
| _version_ | 1811682117245992960 |
|---|---|
| author | Kam, Iris Sok Yee |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Kam, Iris Sok Yee |
| author_sort | Kam, Iris Sok Yee |
| collection | NTU |
| description | G-induced loss of consciousness is a major risk for fighter pilots and a very real threat to both the aircraft operator as well as the lost of aircraft itself. Artificial Neural Networks is an excellent classification tool which is capable of fitting function, pattern recognition, data clustering and etc. Neural network is therefore appropriate for developing intelligent diagnostic tools for complex situation such as classifying the conscious or unconscious state of mind for the aircraft operator given real time information on variables such as heart beat, blood pressure and so on. |
| first_indexed | 2024-10-01T03:51:44Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/45749 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:51:44Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/457492023-03-04T18:32:03Z Modelling of the state of consciousness during G-force loading using neural network Kam, Iris Sok Yee School of Mechanical and Aerospace Engineering Martin Skote DRNTU::Engineering::Aeronautical engineering::Accidents and air safety G-induced loss of consciousness is a major risk for fighter pilots and a very real threat to both the aircraft operator as well as the lost of aircraft itself. Artificial Neural Networks is an excellent classification tool which is capable of fitting function, pattern recognition, data clustering and etc. Neural network is therefore appropriate for developing intelligent diagnostic tools for complex situation such as classifying the conscious or unconscious state of mind for the aircraft operator given real time information on variables such as heart beat, blood pressure and so on. Bachelor of Engineering (Mechanical Engineering) 2011-06-16T09:15:36Z 2011-06-16T09:15:36Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45749 en Nanyang Technological University 96 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Aeronautical engineering::Accidents and air safety Kam, Iris Sok Yee Modelling of the state of consciousness during G-force loading using neural network |
| title | Modelling of the state of consciousness during G-force loading using neural network |
| title_full | Modelling of the state of consciousness during G-force loading using neural network |
| title_fullStr | Modelling of the state of consciousness during G-force loading using neural network |
| title_full_unstemmed | Modelling of the state of consciousness during G-force loading using neural network |
| title_short | Modelling of the state of consciousness during G-force loading using neural network |
| title_sort | modelling of the state of consciousness during g force loading using neural network |
| topic | DRNTU::Engineering::Aeronautical engineering::Accidents and air safety |
| url | http://hdl.handle.net/10356/45749 |
| work_keys_str_mv | AT kamirissokyee modellingofthestateofconsciousnessduringgforceloadingusingneuralnetwork |