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Manjula B.M.,Nitte Meenakshi Institute of Technology | Sharma C.,Nitte Meenakshi Institute of Technology
Indonesian Journal of Electrical Engineering and Computer Science | Year: 2017

Recent advancement in bio-medical field has attracted researchers toward BCG signal processing for monitoring the health activities. There have been various techniques for monitoring physical activities such as (SCG) Seismocardiography, Electrocardiography (ECG) etc. BCG signal is a measurement of reaction force applied for cardiac ejection of blood. Various measurement schemes and systems have been developed for BCG detection and measurement such as tables, beds, weighing scale and chairs. Weighing scales have been promising method for measurement of BCG signal because of less cost of implementation, smaller size etc, but these devices still suffer from the artifact which are induced due to subject movement or motion during signal acquisition or it can be caused due to floor vibrations. Artifact removal is necessary for efficient analysis and health monitoring. In this work we address the issue of artifact removal in BCG signal by proposing a novel method of signal processing. According to proposed approach raw signal is pre-processed and parsed to independent component analysis which provides the decomposed components and later k-means is applied to detect the components which are responsible for artifact and removed. Proposed approach is compared with existing method and shows better performance in terms of artifact removal. © 2017 Institute of Advanced Engineering and Science. All rights reserved.

Manjula B.M.,Nitte Meenakshi Institute of Technology | Sharma C.,University of Mysore
2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings | Year: 2016

Ballistocardiography is the measurement of non-invasive measurement of the mechanical movement of the body which is caused by cardiac during blood ejection. This is one of the promising techniques to assess the cardiovascular disease outside the clinical settings. During the last decade various methodologies have been introduced which utilizes BCG signal for medical field and shown their advantages. In this field, various devices also introduced such as beds, chairs and weighing scales have been proposed to improvise the BCG acquisition, but there is a main issue faced in the BCG signal processing is noise, which is generated due to motion artifacts, vibration of the devices, echoes etc. these noises effects the quality of signal. To overcome this issue we propose a new architecture using LMS filtering technique. This technique uses weight update process to update the error in the signal. Proposed architecture consists of FIR filter and error computation blocks. In this work we have used 2-Tap filtering scheme. Proposed scheme is implemented using MATLAB tool and tested with the Heart rate data by adding the random Gaussian noise to consider the vibrations. Proposed scheme shows the efficient results in terms of error computation and removal and achieves the better weight update parameters corresponding to the original filtered signal by removing the 80% noise from the input signal. © 2016 IEEE.

Sarojadevi H.,Nitte Meenakshi Institute of Technology | Mohan B.A.,Nitte Meenakshi Institute of Technology
2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings | Year: 2016

Wireless sensor network(WSN) consists of energy constrained nodes with limited computing and communicating capabilities. Routing is the area where energy of the nodes can be conserved to prolong the lifetime of the WSN network. There exist some routing protocols, out of which clustering protocols has proven energy efficient because network is divided into multiple clusters and the leader of the cluster will supervise thedata routing to the base station/sink after removing redundant data. In this paper we have used hybrid approach for creating the clusters and for forwarding the data to base station. The Cluster Heads(CHs) for first two rounds will be elected by base-station using centralized algorithm and from third round, CHs are selected by the previous cluster heads using distributed algorithm. We introduce a mobile IGN (Integrated Gateway Node) which acts as an interface between CHs and base station. The data transmission from the sensor nodes to the CH will takes place using proactive algorithm and the data transmission between mobile node and base station uses reactive algorithm. Base-station divides the CHs into sectors and assigns mobile node to each sector with the predefined path to relay the data to it. The mobile nodes which is having unlimited energy resources in this architecture is used to conserve energy and prolong life time of the network compared to other routing protocols. © 2016 IEEE.

Krishnamurthy N.,k-Technology | Murali M.S.,The Academy of Management | Venkataraman B.,Surface Engineering Group | Mukunda P.G.,Nitte Meenakshi Institute of Technology
Wear | Year: 2012

Repeated impact by solid particles causes erosion and degradation of engineering components. In internal combustion engines, during combustion, hot gases are generated in large quantity which causes erosion of cylinder, combustion chamber, exhaust system, etc. In this work, two types of plasma sprayed coating systems were developed on Al-6061 substrate. For each system, a systematic microstructural study was carried out to understand changes occurred after spraying. Mechanical properties like density, adhesion strength and hardness of coatings were determined. A solid particle erosion test was conducted on coating systems according to ASTM G-76-02 and results were correlated with the microstructural and subsequent mechanical property change. It was observed that volume erosion is more at 45° angle of impact and shows that behavior is in between ductile and brittle. This work also discusses the mechanism involved in erosion wear of plasma sprayed coating systems. © 2011 Elsevier B.V.

Rajani B.N.,National Aerospace Laboratories, Bangalore | Kandasamy A.,National Institute of Technology Karnataka | Majumdar S.,NITTE Meenakshi Institute of Technology
Journal of Applied Fluid Mechanics | Year: 2012

Turbulent flow past circular cylinder at moderate to high Reynolds number has been analysed employing an secondorder time accurate pressure-based finite volume method solving two-dimensional Unsteady Reynolds Averaged Navier Stokes (URANS) equations for incompressible flow, coupled to eddy-viscosity based turbulence models. The major focus of the paper is to test the capabilities and limitations of the present turbulence model-based 2D URANS procedure to predict the phenomenon of Drag Crisis, usually manifested in reliable measurement data, as a sharp drop in the mean drag coefficient around a critical Reynolds number. The computation results are compared to corresponding measurement data for instantaneous aerodynamic coefficients and mean surface pressure and skin friction coefficients. Turbulence model-based URANS computations are in general found to be inadequate for correct prediction of the mean drag coefficients, the Strouhal number and also the coefficients of maximum fluctuating lift over the range of flow Reynolds number varying from 10 4 to 10 7.

Guruprasad P.,University of Mysore | Majumdar J.,Nitte Meenakshi Institute of Technology
Procedia Computer Science | Year: 2016

Effective and efficient recognition of ancient Nandinagari Handwritten manuscripts depend on the identification of the key interest points on the images which are invariant to Scale, rotation, translation and illumination. Good literature for finding specific types of key interest points using single modality is available for scripts. However, finding the best points and its descriptors is challenging and could vary depending on the type of handwritten character. Its choice is also dependent on the tradeoff between precision of recognition and speed of recognition and the volume of handwritten characters in question. Thus for a recognition system to be effective and efficient, we need to adopt a multimodal approach in which the different modalities are used in a collaborative manner. In this paper, instead of separately treating the different recognition models and their algorithms, we focus on applying them at a phase where their recognition is optimal. A varied set of Handwritten Nandinagari characters are selected with different image formats, scale, rotation, translation and illumination. Various models of feature extraction techniques are applied of which SURF is chosen to be very performance efficient with good accuracy. A dissimilarity ratio matrix is computed out of the maximum number of matched features of query to test image and vice versa to denote the magnitude of dissimilarity between the images in the data test updated with the new query image. The result is processed through agglomerative clustering to achieve powerful and accurate clusters belonging to designated set of images with 99% percent recognition. © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.

Vinutha C.B.,Sri Siddhartha Institute of Technology | Nalini N.,Nitte Meenakshi Institute of Technology
Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2016 | Year: 2016

Wireless sensor networks are constituted out of a large number of sensor nodes with limited energy resources. Severe shortage of onboard energy resource of WSN necessitates the combined solutions to its energy challenges. We propose an effective, method of clustering and reliable packet routing for the mobile nodes of sensor networks. Typically when nodes show some mobility in deployed network area, localization becomes complex which makes the clustering process even more complicated. In most of the existing works, Bayesian method [12] of predicting the future changes in nodes position is employed, wherein changes in states are based on prior probability distribution. However there is no influence of prior positions of sensor nodes on future states of its position. The node's movement to next location can be predicted using its current state of location and hence node's localization is being modeled as markov chains in our work. Normally the energy levels of sensor nodes can be configured to exhibit discrete dynamic energy values based on its different working modes like active, listen and sleep modes. We also focus an effective energy conservation by sending few number of energy abundant nodes to active states to support reliable data transmission. In this paper, we present an efficient reduction of energy consumption plus reliable packet delivery based on optimal cluster formation and markov model for mobile sensor networks. For implementing optimal clusters, we meticulously use k-medoids algorithm as a primary method and next based on node's communication cost, residual battery energy and its movements, transition probability matrix is obtained. This matrix is further utilized to forecast the reliable path for data transmission from source to destination. © 2016 IEEE.

Shaik H.,Nitte Meenakshi Institute of Technology
Materials Science in Semiconductor Processing | Year: 2015

Mechanical properties of thin films such as residual stress and hardness are of paramount importance from the device fabrication point of view. Intrinsic stress in sputtered films can be tensile or compressive as decided by the number density and the energy of the plasma species striking the growing film. In the presence of hydrogen we analyzed the applicability of idealized stress reversal curve for amorphous silicon thin films deposited by DC, pulsed DC (PDC) and RF sputtering. We are successfully able to correlate the microstructure with the stress reversal and hardness. We observed a stress reversal from compressive to tensile with hydrogen incorporation. It was found that unlike in idealized stress reversal curve case, though the energy of plasma species is less in DC plasma, DC deposited films exhibit more compressive stress, followed by PDC and RF deposited films. A tendency towards tensile stress from compressive stress was observed at ~13, 18 and 23 at%H for DC, PDC and RF deposited films respectively, which is in exact agreement with the vacancy to void transition in the films. Regardless of the sputtering power mode, the hardness of a-Si:H films is found to be maximum at CH~10 at%H. Enhancement in hardness with CH (up to CH~10 at%H) is attributed to increase of Si-H bonds. Beyond CH~10 at%H, hardness starts falling. © 2015 Elsevier Ltd. All rights reserved.

Sreenivasappa B.V.,Nitte Meenakshi Institute of Technology
Journal of Electrical Engineering | Year: 2015

The main objective of this paper is to design a smart lighting system with the aim of energy saving and automatic operation. Smart energy saving light switching system can be used in a room where sun light is not uniformly distributed during the day time. In this paper, two light dependent resistor sensors which are used to detect the intensity of light falling on them and one passive infrared sensor used to detect the movement of human body. The switching algorithm is implemented on AT89S52 microcontroller. The hardware of the switching system is designed, fabricated and tested. It has been observed that the light energy switching system gave fairly good result at different locations.

Nagaraj S.R.,Nitte Meenakshi Institute of Technology | Nalini N.,Nitte Meenakshi Institute of Technology
Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2016 | Year: 2016

VANETs are the most important element in Intelligent Transportation System (ITS). The objective of this paper is to evaluate the performance of the existing Proactive Congestion Control Techniques and to bring out their features useful to the public VANET systems in different environments. In this paper, the performance analysis of static D-FPAV approach and dynamic D-FPAV approach is presented using transmit power rate, fairness and prioritization. The expected goals are reached through this algorithm. This algorithm can be used in various situations VANETs environments. © 2016 IEEE.

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