Abstract: This paper aims at designing an intelligent temperature measuring technique by Resistance Temperature Detector (RTD) using optimal Artificial Neural Network (ANN). The objectives of the present work is (i) to extend the linearity range of RTD and (ii) to provide intelligence in the measuring technique so as to measure the temperature under variation (within a pre-specified range) of temperature co-efficient parameters Ro, a, b and c, but without any change in calibration circuit. (iii) To achieve the objective (i) and (ii) by an optimal ANN. An optimal ANN is considered based on minimum mean square error (MSE) and Regression by comparing various scheme and algorithm. The proposed technique provides linear relationship of the overall system over a wider range and makes it independent of temperature co-efficient. Since, the proposed intelligent temperature measuring scheme produces output independent of physical properties of RTD, it avoids the requirement of repeated calibration every

• Publication Date: 12-Mar-2012
• DOI: 10.15224/978-981-07-1847-3-477
• Views: 0
• Downloads: 0

Abstract: With the advancement of Internet technologies there is need to track down and prevent suspicious traffic. The rise in the internetwork and intra-network activities by means of smart-phones and tablets is taking network communication to the next level. The advancements in smart-phones is opening a gateway for the next level vulnerabilities and attacks on the network which now contains a collection of smart-phones, tablets, laptops and personal computers. High percentage of newly generated attacks and intrusion techniques has indeed spurred up the need of a unified defense mechanism which can be deployed as a platform. The focus of this paper is to introduce before the type of these defense mechanisms known as intrusion detection techniques over a cloud platform, to prevent the vulnerabilities and provide resistance from the newly developed attacks and loop holes for smart-phones, tablets and personal computers. Since nowadays smart-phones and tablets have the same system architecture as

• Publication Date: 12-Mar-2012
• DOI: 10.15224/978-981-07-1847-3-500
• Views: 0
• Downloads: 0