There exist many methods to identify disaster victims, such as fingerprint, dental record and DNA matching. DNA matching is a high precision identification method and it does not require a specific body parts from the victim. The limitation of applying DNA matching for disaster victim identification lies on expensive and time consuming process. To address this situation, a DNA Similarity Matching using Sugeno Fuzzy Inference System and transmitted through mobile network is proposed. The DNA profile data of disaster victim is captured using a mobile device. This data is sent to a server through General Packet Radio Service (GPRS) or 3G mobile data transmission. At the server site, the DNA profile data from the victim will be analyzed using Sugeno Fuzzy Inference System (FIS) DNA similarity matching. The result is sent back to the origin mobile device. This experiment compares the crisp-DNA methods with FIS-DNA methods, and it shows that DNA similarity matching using Sugeno FIS is more realistic than crisp method. The experiment also measures the required time to transfer the captured DNA profile data from the mobile device to the server. With a GPRS mobile data transmission, it requires two seconds, and it requires only one second through a 3G.
|Publication status||Published - 1 Jan 2012|
|Event||5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012 - Sapporo, Japan|
Duration: 20 Aug 2012 → 23 Aug 2012
|Conference||5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012|
|Period||20/08/12 → 23/08/12|
- Sugeno FIS