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Maheswari A.,Sambhram Institute of Technology | Sangaiah A.K.,Vellore Institute of Technology
Advances in Intelligent Systems and Computing | Year: 2015

Premature death and disability from sudden cardiac arrest continue to be a serious public health burden. Electrocardiography (ECG) is a ubiquitous vital sign health monitoring method used in the healthcare systems. The early detection of abnormality in ECG signal for cardiac disease leads to timely diagnosis and prevents the person from death. Normally the surgeons have to study a large amount of ECG data to search for abnormal beat in ECG. If the surgeons fail to note the abnormal cycles that are very less in number, it leads to fatigue. In the proposed research work, an intelligent ECG digital system is designed to interpret these abnormal signals which reduce the tedious work of interpreting ECG. The proposed work monitors the heart beat continuously in a convenient manner and with maximum accuracy for diagnosing. The ECG signals are acquired in real time and amplified through an Instrumentation amplifier. The resulting signals are processed for the cancellation of noise through a low pass filter and notch filter. Further processing of these signals in the microcontroller detects the abnormalities of cardiac arrest. The result is communicated through GSM which reduces the burden of the doctors to a greater extent. These signals are stored in the Secure Data (SD) card to have a complete history of the signals before and after the occurrence of the cardiac event. The proposed research work combines the capabilities of real-time monitoring of ECG signals and the abnormal symptom-reporting systems. © Springer International Publishing Switzerland 2015. Source


Arakeri M.P.,M.S. Ramaiah Institute of Technology | Lakshmana,Sambhram Institute of Technology
Procedia Computer Science | Year: 2016

Agriculture sector plays a key role in the economic development of India. The task of fruit grading is vital in the agricultural industry because there is a great demand for high quality fruits in the market. However, fruit grading by human is inefficient, labor intensive and prone to error. The automated grading system not only speeds up the time of processing, but also minimizes error. There is a great demand for tomatoes in both local and foreign markets. The tomato fruit is very delicate and hence careful handling of this fruit is required during grading. Thus, this paper proposes an automatic and effective tomato fruit grading system based on computer vision techniques. The proposed quality evaluation method consists of two phases: development of hardware and software. The hardware is developed to capture the image of the tomato and move the fruit to the appropriate bins without manual intervention. The software is developed using image processing techniques to analyze the fruit for defects and ripeness. Experiments were carried out on several images of the tomato fruit. It was observed that the proposed method was successful with 96.47% accuracy in evaluating the quality of the tomato. © 2016 The Authors. Source


Shidaganti G.I.,Sambhram Institute of Technology
Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013 | Year: 2013

Various prominent feature points of human faces play a critical role for designing a system that can perform facial recognition. Involvement of facial expression as precision parameter exponentially increases the challenges in developing a face recognition system. There exist abundant volume of studies in the area of face recognition, but majority of the techniques are either computationally not viable or uses complex algorithms. Hence, the prime aim of this paper is to introduce a very simple and cost effective solution for face recognition system from facial expressions by using two techniques i.e. Singular Value Decomposition (SVD) and Rational Value Sequence based Singular Value Decomposition (RSVD). Results were evaluated for both the cases to find RSVD approach as a better alternative to SVD approach for face recognition in terms of preciseness and computational effectiveness. © 2013 IEEE. Source


Essaki Muthu P.,Dr. M.G.R. Educational and Research Institute | Gemson R.M.O.,Sambhram Institute of Technology
Journal of Theoretical and Applied Information Technology | Year: 2014

H.264 encoder has to evaluate exhaustively all the mode combinations of intra 4x4 predictions for deciding coding mode to achieve the minimum coding bits and high video quality. An Integer Transform-based Intra 4x4 Prediction method is proposed here to reduce the computational complexity of Intra 4x4 mode decision. This method calculates the transform domain residues in three steps, 1) calculating predicted coefficients directly 2) performing transform on input original coefficients and 3) finds the tranform domain residue coefficients by subtracting the transform domain predicted coefficients from transform domain original coefficients. The experimental results demonstrate that proposed method reduces at least 40% of computational complexity without compromising the coding efficiency (bitrate) and performance (quality). © 2005 - 2014 JATIT & LLS. All rights reserved. Source


Manjunatha B.,Acharya Institute of Technology | Niranjan H.B.,Sambhram Institute of Technology | Satyanarayana K.G.,Poornaprajna Institute of Scientific Research PPISR
Materials Science and Engineering A | Year: 2015

Metal Matrix Composites (MMC) considered as one of the 'advanced materials' have evoked growing interest during the last three decades due to their high performance and applications in strategic sectors. These composites exhibit unique and attractive properties over the monolithic alloys, but suffer from low ductility, which makes them not so attractive for some of the applications where high toughness is one of the design criteria. This limitation of MMCs has been overcome by resorting to various treatments such as mechanical and thermal loading. Considering very limited reports available on Al alloy reinforced with boron carbide (B4C) particles, this paper presents (i) preparation of Al-6061 alloy reinforced with 1.5-10wt% B4C, (ii) subjecting them to mechanical and thermal treatments and (iii) characterization of all the above samples. Specific ultimate tensile strength and hardness of all the composites were higher than those of matrix. Also, these values increased with increasing amount of particles, with composites containing 8wt% B4C showing the maximum values in all the three conditions. These observations are supported by the uniform distribution of particles in the matrix as observed in their microstructure. © 2015 Elsevier B.V. Source

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