Kommana S.,VRSEC |
Naik Banoth B.,Jawaharlal Nehru Technological University |
Radha Kadavakollu K.,Jawaharlal Nehru Technological University Anantapur
Journal of Combustion | Year: 2015
Fuels derived from biomass are mostly preferred as alternative fuels for IC engines as they are abundantly available and renewable in nature. The objective of the study is to identify the parameters that influence gross indicated fuel conversion efficiency and how they are affected by the use of biodiesel relative to petroleum diesel. Important physicochemical properties of palm kernel oil and eucalyptus blend were experimentally evaluated and found within acceptable limits of relevant standards. As most of vegetable oils are edible, growing concern for trying nonedible and waste fats as alternative to petrodiesel has emerged. In present study diesel fuel is completely replaced by biofuels, namely, methyl ester of palm kernel oil and eucalyptus oil in various blends. Different blends of palm kernel oil and eucalyptus oil are prepared on volume basis and used as operating fuel in single cylinder 4-stroke variable compression ratio diesel engine. Performance and emission characteristics of these blends are studied by varying the compression ratio. In the present experiment methyl ester extracted from palm kernel oil is considered as ignition improver and eucalyptus oil is considered as the fuel. The blends taken are PKE05 (palm kernel oil 95 + eucalyptus 05), PKE10 (palm kernel oil 90 + eucalyptus 10), and PKE15 (palm kernel 85 + eucalyptus 15). The results obtained by operating with these fuels are compared with results of pure diesel; finally the most preferable combination and the preferred compression ratio are identified. © 2015 Srinivas Kommana et al.
Sirajuddin M.D.,S.M.C.E |
Rupa C.H.,VRSEC |
Prasad A.,Vikrama Simhapuri University
Advances in Intelligent Systems and Computing | Year: 2015
TCP is a connection-oriented and reliable transport layer protocol. Currently, it is most widely used protocol in the Internet. All the reliable Internet applications make use of this protocol. This protocol works well in the wired network, but it does not produce satisfactory results if it is used in the wireless networks. Usage of TCP in wireless networks leads to performance degradation, because it considers all the packets losses as due to congestion and reduces the packet sending rate, and at the same time, it diminishes the network throughput. This feature is suitable for wired networks in which packet loss mainly occurs due to congestion. However, this is inappropriate in wireless networks where packet loss occurs due to signals fading, high bit error rate, hand-off, etc. It misinterprets all packet losses as due to congestion and reduces its congestion window. This misinterpretation of packet loss mainly decreases the throughput. This paper depicts the performance of all the efficient mechanisms which have been developed to improve the performance of TCP. © Springer India 2015.
Padmavathi K.,GRIET |
International Journal of Systems, Control and Communications | Year: 2015
Atrial fibrillation (AF) is a type of heart ailment that occurs when atria beats quicker than normal to move blood from atria to the ventricles. Our present study proposes a technique to detect AF ECG patterns with the use of continuous wavelet transform (CWT), wavelet coherence (WTC) is presented. The wavelet coherence function finds common frequencies between two signals and evaluates similarity of the two signals. The mother wavelet used is db4. The ECG variation of atrial fibrillation (AF) is observed in lead II of ECG. For the detection of normal and AF beats, WTC output values are given as the input features for the Levenberg-Marquardt neural network (LMNN) classifier. The data was collected from MIT/BIH AF database. Copyright © 2015 Inderscience Enterprises Ltd.
Padmavathi K.,GRIET |
Sri Ramakrishna K.,VRSEC
International Journal of Electrical and Computer Engineering | Year: 2015
Atrial fibrillation (AF) is the common arrhythmia that causes death in the adults. We measured AR coefficients using Burgs method for each 15 second segment of ECG. These features are classified using the different statistical classifiers: kernel SVM and KNN classifier. The performance of the algorithm was evaluated on signals from MIT-BIH Atrial Fibrillation Database. The effect of AR model order and data length was tested on the classification results. This method shows better results can be used for practical use in the clinics. Copyright © 2015 Institute of Advanced Engineering and Science. All rights reserved.
Prasad R.S.,Acharya Nagarjuna University |
2014 International Conference on Circuits, Power and Computing Technologies, ICCPCT 2014 | Year: 2014
To assess the software reliability by statistical means yields efficient results. In this paper, for an effective monitoring of failure process we have opted Sequential Probability Ratio Test (SPRT) over the time between every rth failure (r is a natural number >=2) instead of inter-failure times. This paper projects a controlling framework based on order statistics of the cumulative quantity between observations of time domain failure data using mean value function of Inflection S-Shaped Model. The two unknown parameters can be estimated using the Maximum Likelihood Estimation (MLE). © 2014 IEEE.