P. S. Anoop¹, V. Sugumaran²

Structural Durability & Health Monitoring, Vol.11, No.2, pp. 191-208, 2017, DOI:10.3970/sdhm.2017.011.191

Abstract Tyre pressure monitoring system (TPMS) is compulsory in most countries like the United States and European Union. The existing systems depend on pressure sensors strapped on the tyre or on wheel speed sensor data. A difference in wheel speed would trigger an alarm based on the algorithm implemented. In this paper, machine learning approach is proposed as a new method to monitor tyre pressure by extracting the vertical vibrations from a wheel hub of a moving vehicle using an accelerometer. The obtained signals will be used to compute through statistical features and histogram features for the feature extraction process. The… More >

U.Suryanarayana Murty¹, V.Sreehari Rao²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.5, No.2, pp. 121-128, 2008, DOI:10.3970/icces.2008.005.121

Abstract Artificial intelligence has opened a new window of opportunity and has definitely a long way to look ahead in\nobreakspace {}area of data analysis. The enormity of magnitude of data and its complex nature often perplex the epidemiologists. This is especially true in case of vector borne diseases where a timely and precise understanding of disease during decision making process comes handy for curbing the diseases in event of an outbreak or epidemic. Often the public health officials feel the need of correct identification of true positive cases. A tool that classify disease according to presence or absence of a disease… More >