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Sathishkumar, B. S.
- Summarization of Tsunami Warning System
Authors
1 Department of Electronics and Communication Engineering, A.V.C College of Engineering, Mayiladuthurai, India, IN
Source
Wireless Communication, Vol 8, No 3 (2016), Pagination: 127-132Abstract
Tsunamis occur rarely on Earth but their impact is devastating. This paper describes the system components that make up the second-generation Deep-Ocean Assessment and Reporting of Tsunamis system (DART II), which comprise a critical portion of a tsunami forecast, warning and mitigation system and also summarize the recently used sensors in Indian Tsunami Warning System. The Indian Tsunami Early Warning System (ITEWS) based at Indian National Centre for Ocean Information Services (INCOIS), operates on 24x7 basis and has the functions of monitoring seismological stations, bottom pressure recorders (BPRs) and tidal stations throughout the Indian Ocean Basin to evaluate potentially tsunamigenic earthquakes and disseminating tsunami warning information and also evaluate the Earthquake parameters. The development of techniques adopted to detection of Tsunami is a continuous process and it has lot of scope for researcher and people those working in this area.Keywords
Bottom Pressure Recorders, Deep-Ocean Assessment and Reporting of Tsunamis System, Indian Tsunami Warning System, Indian National Centre for Ocean Information Services.
- Enhancement of Iris Biometric Recognition System Using Cryptography and Error Correction Codes – A Review
Authors
1 AVC College of Engineering, Mannmpamdal, Mayiladuthurai, IN
2 Department of Electronics and Communication Engineering, AVC College of Engineering, Mannmpamdal, Mayiladuthurai, IN
3 AVC College of Engineering, IN
Source
Biometrics and Bioinformatics, Vol 4, No 7 (2012), Pagination: 273-278Abstract
The Main challenge on iris and most biometric identifier’s is the user variability in the acquired identifiers. The Iris of the same person captured in different time may differ due to the signal noise of the environment or the iris camera. In Error Correction Code, ECC is introduced to reduce the variability and noise of the iris data. To find best system performance, This paper reviews an approach is tested using 2 different distance metric measurement functions for the iris pattern matching identification process which are Hamming Distance and Weighted Euclidean Distance. An experiment with the CASIA version 1.0 iris database indicates that results can assure a higher security with a false acceptance rate (FAR).