TY - GEN
T1 - Building automation tools to calculate trichloroethylene level in human liver using - Case study
T2 - 22nd Annual Symp. on Micro-Nano Mechatronics and Human Science, MHS 2011, Held Jointly with the Symp. on COE for Education and Research of Micro-Nano Mechatronics, Micro-Nano GCOE 2011, Symp. on Hyper Bio Assembler for 3D Cellular System Innovation
AU - Febrian, A.
AU - Matul I., Elly
AU - Agus S., I. Md
AU - Fajar, M.
AU - Jatmiko, Wisnu
AU - Ramdhan, Doni Hikmat
AU - Bowolakso, A.
AU - Mursanto, Petrus
PY - 2012/7/6
Y1 - 2012/7/6
N2 - Trichloroethylene (TRI) is chlorinated solvent which has been used in various materials for industrial and daily task, such as dry-cleaners, ink composer, and medicine ingredients. It's has been known that TRI can penetrate human liver, and prolong exposure can evoke permanent damage to liver or cancer. In this research, we tried to create an automation tool that can help us analyzed and predict TRI level in human liver. The prediction will be based on liver images which analyzed using FCM, BPNNs, FLVQ, or FLVQ-PSO. In this research, the images of white mice liver that have been exposed to TRI are used. Our experiments show that the best accuracy achieved by BPNNs and 45 features from images which have been processed with KPCA. This combination accuracy is 99.12%.
AB - Trichloroethylene (TRI) is chlorinated solvent which has been used in various materials for industrial and daily task, such as dry-cleaners, ink composer, and medicine ingredients. It's has been known that TRI can penetrate human liver, and prolong exposure can evoke permanent damage to liver or cancer. In this research, we tried to create an automation tool that can help us analyzed and predict TRI level in human liver. The prediction will be based on liver images which analyzed using FCM, BPNNs, FLVQ, or FLVQ-PSO. In this research, the images of white mice liver that have been exposed to TRI are used. Our experiments show that the best accuracy achieved by BPNNs and 45 features from images which have been processed with KPCA. This combination accuracy is 99.12%.
UR - http://www.scopus.com/inward/record.url?scp=84863335213&partnerID=8YFLogxK
U2 - 10.1109/MHS.2011.6102211
DO - 10.1109/MHS.2011.6102211
M3 - Conference contribution
SN - 9781457713613
T3 - 2011 Int. Symp. on Micro-NanoMechatronics and Human Science, Symp. on "COE for Education and Research of Micro-Nano Mechatronics", Symposium on "Hyper Bio Assembler for 3D Cellular System Innovation"
SP - 373
EP - 378
BT - 2011 Int. Symp. on Micro-NanoMechatronics and Human Science, Symp. on "COE for Education and Research of Micro-Nano Mechatronics", Symposium on "Hyper Bio Assembler for 3D Cellular System Innovation"
Y2 - 6 November 2011 through 9 November 2011
ER -
