Loyola Institute of Technology

Chennai, India

Loyola Institute of Technology

Chennai, India

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Vanitha L.,Loyola Institute of Technology | Suresh G.R.,Easwari Engineering College
ICACCS 2013 - Proceedings of the 2013 International Conference on Advanced Computing and Communication Systems: Bringing to the Table, Futuristic Technologies from Around the Globe | Year: 2014

In recent years, stress has become ingrained part of our life, being stressed by our financial worries, our job, etc. Stress causes physical illnesses, such as heart attacks, arthritis, and chronic headaches or psychological diseases like mental illness, anger, anxiety, and depression. There are several research works coming up to resolve the limitations on measuring, analyzing and identifying the human stress levels Amongst the many stress monitoring methods the more reliable method to determine the human stress level is to use physiological signals. In this work, Heart Rate Variability (HRV) determined from ECG signal, an efficient parameter to detect the stress level is used. The features extracted from HRV are given as input, to the two stage classifier, to classify the stress into one of the four levels as no stress, low stress, medium stress and high stress. In the first stage of the classifier, Self Organizing Map is used to classify the stress into two classes as 'stress level 1'(no stress & low stress) and 'stress level 2' (medium stress & high stress). In the second stage Support Vector Machine is used with RBF kernel to subdivide the 'stress level 1' into two classes 'No Stress' and 'Low Stress'. The stress level 2 is subdivided into twoclasses 'Medium Stress' and 'High Stress'. The performance of this hybrid structure is better and the efficiency of classification is 91%. © 2013 IEEE.


Vanitha L.,Loyola Institute of Technology | Suresh G.R.,Easwari Engineering College
Proceedings of the IEEE International Caracas Conference on Devices, Circuits and Systems, ICCDCS | Year: 2014

Stress has become an embedded part of our life, being stressed by our financial worries, our job, etc. Stress causes physical illnesses, such as heart attacks, arthritis, and chronic headaches or psychological diseases like mental illness, anger, anxiety, and depression. There are several research works coming up to resolve the limitations on measuring, analyzing and identifying the human stress levels Amongst the many stress monitoring methods the more reliable method to determine the human stress level is to use physiological signals. The Heart Rate Variability (HRV) determined from ECG signal, an efficient parameter to detect the stress level is used in this work. The features extracted from HRV are given as input, to the Hierarchical classifier, to classify the stress into one of the four levels as no stress, low stress, medium stress and high stress. The performance of the hierarchical structure is better and the efficiency of classification is 92 %. © 2014 IEEE.


Suresh S.,Loyola College | Ramanand A.,Loyola College | Jayaraman D.,Loyola Institute of Technology
Optoelectronics and Advanced Materials, Rapid Communications | Year: 2010

The mechanical properties of crystals were evaluated by mechanical testing. The fastest and simplest type of mechanical testing is hardness measurement. The Vickers microhardness studies have been carried out for L-Valine crystals grown by a slow evaporation technique over a load range of 10-100 g. The Vickers hardness number (H v) was found to increase with the increase in load. The Meyer's index number 'n' was calculated from Hv and yield strength (σ v). The Young's modulus was calculated using the Knoop hardness values. Hardness anisotropy has been observed in accordance with the orientation of the crystal.


Sheela C.J.,Loyola Institute of Technology | Vanitha L.,Loyola Institute of Technology
2014 International Conference on Circuits, Power and Computing Technologies, ICCPCT 2014 | Year: 2014

Sudden death from cardiac arrest is a major health problem and is responsible for almost half of all heart disease deaths. In Sudden Cardiac Death (SCD), the cardiac arrest occurs for a very short time which is preceded and followed by normal ECG. Thus, it is difficult to detect such conditions, using only ECG. This work predicts sudden cardiac arrest before 30 minutes of its occurrence on the basis of time domain and frequency domain features of Heart rate variability (HRV) obtained from ECG and using SVM classifier to classify SCD patient from Normal patient The database of cardiac patients obtained from physionet is used to check the validity of the proposed work Performance of SVM is better giving the classification efficiency of 88%. © 2014 IEEE.


Kandasamy V.,Loyola Institute of Technology | Papitha E.,Loyola Institute of Technology
2013 International Conference on Information Communication and Embedded Systems, ICICES 2013 | Year: 2013

Online personal health record (PHR) enables patients to manage their own medical records in a centralized way, which greatly facilitates the storage, access and sharing of personal health data. With the emergence of cloud computing, it is attractive for the PHR service providers to shift their PHR applications and storage into the cloud, in order to enjoy the elastic resources and reduce the operational cost. However, by storing PHRs in the cloud, the patients lose physical control to their personal health data, which makes it necessary for each patient to encrypt her PHR data before uploading to the cloud servers. Under encryption, it is challenging to achieve fine-grained access control to PHR data in a scalable and efficient way by using FADE. For each patient, the PHR data should be encrypted so that it is scalable with the number of users having access. Also, since there are multiple owners (patients) in a PHR system and every owner would encrypt her PHR files using a different set of cryptographic keys, it is important to reduce the key distribution complexity in such multi-owner settings. Existing cryptographic enforced access control schemes are mostly designed for the single-owner scenarios. In order to realize scalable, flexible, and fine-grained access control of outsourced data in cloud computing, in this research, we propose hierarchical attribute-set-based encryption (HASBE) by extending cipher text-policy attribute-set-based encryption (ASBE) with a hierarchical structure of users. The proposed scheme not only achieves scalability due to its hierarchical structure, but also inherits flexibility and fine-grained access control in supporting compound attributes of ASBE. © 2013 IEEE.


Gandhi B.,Loyola Institute of Technology | Ezhilmaran M.,Loyola Institute of Technology
Proceedings of International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2013 | Year: 2013

Power factor correction converters have been widely used in ac-dc power conversions to achieve high power factor (PF) and low harmonic distortion. A discontinuous-current-mode (DCM) boost power factor correction (PFC) converter features zero-current turn-on for the switch, no reverse recovery in diode, and constant frequency operation. But the input power factor (PF) is relatively low when the duty cycle is constant. The proposed work achieves high input power factor by controlling the variable duty cycle for DCM boost power factor correction converters. A new method has been introduced for the accurate measurement of power factor. The proposed technique achieves a lower output voltage ripple and higher efficiency compared to constant duty cycle control. © 2013 IEEE.


Arutselvan B.,Loyola Institute of Technology | Maheswari R.,Loyola Institute of Technology
2013 International Conference on Information Communication and Embedded Systems, ICICES 2013 | Year: 2013

This paper deals with a novel forwarding scheme for wireless sensor networks aimed at combining low computational complexity and high performance in terms of energy efficiency and reliability. The proposed approach relies on a packet-splitting algorithm based on the Chinese Remainder Theorem (CRT) and is characterized by a simple modular division between integers and a Kalman filter is used to reduce the noise in the receiving end. An analytical model for estimating the energy efficiency of the scheme is presented, and several practical issues such as the effect of unreliable channels, topology changes and MAC overhead are discussed. The Simulation is done through MATLAB which show that the proposed algorithm outperforms traditional approaches in terms of power saving, simplicity and fair distribution of energy consumption among all nodes in the network and reduces the noise in the receiver end. © 2013 IEEE.


Andal S.,Loyola Institute of Technology | Ilampoornan M.K.,Loyola Institute of Technology
2014 International Conference on Circuits, Power and Computing Technologies, ICCPCT 2014 | Year: 2014

In this paper single stage AC-DC converter is designed and developed for battery charging. Desired features for battery charger are low cost, fast charging, high power factor, high efficiency, minimum ripple and high reliability. These are achieved using proposed circuit. This work presents novel approach of a battery charger, which offers battery galvanic isolation and Power Factor Correction (PFC) in a simple structure. This converter used as a part of a Distributed Power Supply System (DPS), also overcomes the need of galvanic isolation in each dc/dc converters. Simulation of proposed converter is done and results obtained are satisfactory. © 2014 IEEE.


Paulraj T.,Loyola Institute of Technology | Ilampoornan M.K.,Loyola Institute of Technology
2014 International Conference on Circuits, Power and Computing Technologies, ICCPCT 2014 | Year: 2014

Current unbalance is frequently encountered power quality problem. Negative sequence current leads to increase in machine temperature and unnecessary tripping of circuit breakers. Unequal phase current and harmonic current causes increased line losses and skin effect. In this paper, a new stationary reference frame control is proposed and implemented based on Positive and Negative Sequence Component Extraction. Positive sequence current is taken as reference for VSI, used as current unbalance compensator. VSI is designed to eliminate negative sequence current component thereby balance of currents are obtained. Consequently, reduction in lines losses and improvement of power factor is also observed in the power system. © 2014 IEEE.


Prabu S.,Loyola Institute of Technology | Maheswari R.,Loyola Institute of Technology
2014 International Conference on Information Communication and Embedded Systems, ICICES 2014 | Year: 2014

In a wireless sensor network (WSN), sensor nodes are powered by batteries that can operate for only a short period of time, which results in short network lifetime. The short lifetime disables the application of WSNs for long term tasks such as structural health monitoring for bridges and tunnels, border surveillance, road condition monitoring, etc. In this paper the overall network lifetime is increased using Grade diffusion (GD) algorithm along with LZW compression technique. Grade diffusion algorithm select the more available energy node as the relay node in the routing process and LZW algorithm reduces the transmitting and receiving power by compressing the original data size. By reducing the transmitting and receiving power to extend the life time of the wireless sensor network. © 2014 IEEE.

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