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Jain P.K.,Center for Information and Communication Technology | Chourasia V.S.,Manoharbhai Patel Institute of Engineering and Technology
Journal of Medical Engineering and Technology | Year: 2016

This paper presents a system based on Seismocardiography (SCG) to monitor the heart sound signal for the long-term. It uses an accelerometer, which is of small size and low weight and, thus, convenient to wear. Such a system should also be robust to various noises which occur in real life scenarios. Therefore, a detailed analysis is provided of the proposed system and its performance is compared to the performance of the Phoncardiography (PCG) system. For this purpose, both signals of five subjects were simultaneously recorded in clinical and different real life noisy scenarios. For the quantitative analysis, the detection rate of fundamental heart sound components, S1 and S2, is obtained. Furthermore, a quality index based on the energy of fundamental components is also proposed and obtained for the same. Results show that both the techniques are able to acquire the S1 and S2, in clinical set-up. However, in real life scenarios, we observed many favourable features in the proposed system as compared to PCG, for its use for long-term monitoring. © 2016 Taylor & Francis

Shaik A.G.,Center for Information and Communication Technology
International Journal of Electrical Power and Energy Systems | Year: 2015

This paper deals with the application of wavelet transforms for the detection, classification and location of faults on transmission lines. A Global Positioning System clock is used to synchronize sampling of voltage and current signals at both the ends of the transmission line. The detail coefficients of current signals of both the ends are utilized to calculate fault indices. These fault indices are compared with threshold values to detect and classify the faults. Artificial Neural Networks are employed to locate the fault, which make use of approximate decompositions of the voltages and currents of local end. The proposed algorithm is tested successfully for different locations and types of faults. © 2014 Elsevier Inc. All rights reserved.

Singh A.,Center for Information and Communication Technology
IEEE Wireless Communications Letters | Year: 2014

This letter establishes the computational complexity savings that a properly positioned single bit of feedback can provide in the computationally intense setting of quasi-static MIMO communications. Specifically, this letter identifies novel practically constructed feedback schemes and explicit and non-random multiple-input multiple-output (MIMO) encoding-decoding schemes that, in the presence of a single bit of feedback, jointly guarantee the optimal diversity-multiplexing tradeoff (DMT) with a polynomial time complexity. Going one step further, this letter also presents an opportunistic communication scheme that, at all rates including rates close to the maximum multiplexing gain, can provide near-ergodic reliability at just polynomial time computational complexity costs. This is the best known computational complexity that suffices to achieve near-ergodic reliability in the quasi-static MIMO settings. © 2014 IEEE.

Sharma R.,Center for System Science | Adhikari B.,Center for System Science | Mishra A.,Center for Information and Communication Technology
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

Product graphs have been gainfully used in literature to generate mathematical models of complex networks which inherit properties of real networks. Realizing the duplication phenomena imbibed in the definition of corona product of two graphs, we define corona graphs. Given a small simple connected graph which we call basic graph, corona graphs are defined by taking corona product of the basic graph iteratively. We calculate the possibility of having a node of degree k in any corona graph which lead to obtain degree distribution of corona graphs. We determine explicit formulae of eigenvalues, Laplacian eigenvalues and signless Laplacian eigenvalues of corona graphs when the basic graph is regular. Computable expressions of eigenvalues and signless Laplacian eigenvalues are also obtained when the basic graph is a star graph. © 2015, Springer International Publishing Switzerland.

Vergne M.,Center for Information and Communication Technology | Susi A.,Center for Information and Communication Technology
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

Expert finding aims at identifying knowledgeable people to help in decision processes, such as eliciting or analysing requirements in Requirements Engineering. Complementary approaches exist to tackle specific contexts like in forum-based communities, exploiting personal contributions, or in structured organisations like companies, where the social relationships between employees help to identify experts. In this paper, we propose an approach to tackle a hybrid context like an Open Source Software (OSS) community, which involves forums open to contributors, as well as companies providing OSS-related services. By representing and relating stakeholders, their roles, the topics discussed and the terms used, and by applying inference algorithms based on Markov networks, we are able to rank stakeholders by their inferred level of expertise in one topic or more. Two preliminary experiments are presented to illustrate the approach and to show its potential benefit. © 2014 Springer International Publishing.

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