Odor Recognition Using Fuzzy Logic Algorithm
Conference Venue : UniKL MFI
Saved in:
| Main Authors: | , |
|---|---|
| 格式: | |
| 出版: |
2013
|
| 主題: | |
| 在線閱讀: | http://ir.unikl.edu.my/jspui/handle/123456789/4884 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| id |
my.unikl.ir-4884 |
|---|---|
| record_format |
eprints |
| spelling |
my.unikl.ir-48842013-11-27T04:47:21Z Odor Recognition Using Fuzzy Logic Algorithm Azahar, Ratnawati, I T. M Shariffah Nur Rasyidah, NurAtiqah Nadiah Odor Detection Gas Sensors Fuzzy Logic Conference Venue : UniKL MFI Fuzzy plogic pis pone pof pthe ptechniques pin pArtificial Intelligent p(AI) pthat pwidely pused pto pcontrol penvironmental factors. The effectiveness of fuzzy logic has been proven through a plot pof pcreation pof pIntelligent pSystem pusing pfuzzy plogic a lication. pThis aper resents pthe presearch psegment pof development of methodology for determining odor level using fuzzy logic based algorithm. Two different gas sensors are used which respond to carbon monoxide, methane, hydrogen, ethanol and chlorofluorocarbon. This study focused on evaluating the ossibility of using gas sensor to detect odor level produced by coffee. Sensor fusion is achieved through processing the analog to digital converted values of sensor outputs using algorithm to determine the odor level of predetermined oders. Fuzzy logic algorithm is based on Zadeh-Mamdani type Fuzzy inference system a roach. The result of this study will be displayed in form of ercentage values and will be compared with the simulation result using Matlab. 2013-11-27T04:47:21Z 2013-11-27T04:47:21Z 2013-11-27 http://ir.unikl.edu.my/jspui/handle/123456789/4884 |
| institution |
Universiti Kuala Lumpur |
| building |
UniKL Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Kuala Lumpur |
| content_source |
UniKL Institutional Repository |
| url_provider |
http://ir.unikl.edu.my/ |
| topic |
Odor Detection Gas Sensors Fuzzy Logic |
| spellingShingle |
Odor Detection Gas Sensors Fuzzy Logic Azahar, Ratnawati, I T. M Shariffah Nur Rasyidah, NurAtiqah Nadiah Odor Recognition Using Fuzzy Logic Algorithm |
| description |
Conference Venue : UniKL MFI |
| format |
|
| author |
Azahar, Ratnawati, I T. M Shariffah Nur Rasyidah, NurAtiqah Nadiah |
| author_facet |
Azahar, Ratnawati, I T. M Shariffah Nur Rasyidah, NurAtiqah Nadiah |
| author_sort |
Azahar, Ratnawati, I T. M |
| title |
Odor Recognition Using Fuzzy Logic Algorithm |
| title_short |
Odor Recognition Using Fuzzy Logic Algorithm |
| title_full |
Odor Recognition Using Fuzzy Logic Algorithm |
| title_fullStr |
Odor Recognition Using Fuzzy Logic Algorithm |
| title_full_unstemmed |
Odor Recognition Using Fuzzy Logic Algorithm |
| title_sort |
odor recognition using fuzzy logic algorithm |
| publishDate |
2013 |
| url |
http://ir.unikl.edu.my/jspui/handle/123456789/4884 |
| _version_ |
1644484675868033024 |
| score |
13.250246 |