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Jackson B.,Sathyabama University | Jayanthy T.,Panimalar Institute of Technology
Proceedings of the International Conference on "Recent Advances in Space Technology Services and Climate Change - 2010", RSTS and CC-2010 | Year: 2010

Water pollution is one of the severe problems that have a crippling effect on public hygiene. The detection of impurities present in the water is of high priority to battle its effects. In this paper, we propose a novel method to perform detection of such impurities by exploiting the dielectric constant variations caused by its presence. We present a microstrip resonator that measures the dielectric constant (relative permittivity) of the water by means of variation in resonant frequency. The design makes use of Defected ground structure (DGS) for enhanced resonance. The electromagnetic field distribution, resonant frequency and quality factor of the design are computed and analyzed. The microstrip resonator presented here has some virtues such as simple structure, easy manufacture, low cost etc. The resonator has been simulated using HFSS 9. © 2010 IEEE.


Ganesh S.,Sathyabama University | Chitra M.P.,Panimalar Institute of Technology
2015 IEEE Underwater Technology, UT 2015 | Year: 2015

The robotics world has reached a stage where the Remotely Operated Vehicle (ROV) industry is very well established with thousands upon thousands of ROVs having been created and deployed since the dawn of this industry. The need for autonomy in robots and vehicles, however, is becoming more and more a prevalent issue in many situations and environments worldwide. The ability to communicate between the operator and the vehicle is one of the main factors affecting whether a vehicle is to be designed as an ROV or as an autonomous vehicle. Ocean Observing has become a system for observations, modeling and analysis of marine and ocean parameters that support operational ocean activities such as fisheries, recreational boating, natural hazards warnings, search and rescue operations, and marine operations, as well as scientific inquiry. Through an ocean observing system these diverse user groups can receive accurate descriptions of the present state of the oceans including living resources, continuous forecasts of future sea conditions, and forecast indicators for climate change. © 2015 IEEE.


Jackson B.,Sathyabama University | Jayanthy T.,Panimalar Institute of Technology
Indian Journal of Science and Technology | Year: 2014

A more accurate and less time consuming method to determine sugar content in a sugarcane juice is proposed in this paper. The increasing use of microwaves for industrial testing is a growing demand for permittivity measurement as a function of frequency. Determination of sugar in sugarcane is an important task in sugar refineries as well as food industries. Early estimation of sugar content in cane juice also enables fixing the price for canes for procurement from the fields. The various methods to measure sugar content are IR method and chemical analysis method which consumes time. Hence we propose a microstrip resonator sensor designed at 1 GHz fundamental frequency using ADS tool which has passed experimental validation by means of Vector Network analyser. The sensor is implemented using planar technology and is more compact and is well suited for permittivity measurement. The technique adopted for the sensor is shift in resonant frequency as a function of density of sucrose content in sugarcane juice.


Rexiline Sheeba I.,Sathyabama University | Jayanthy T.,Panimalar Institute of Technology
Lecture Notes in Electrical Engineering | Year: 2016

A low cost, flexible software antenna for ISM band is presented. The Novel antenna is proposed for ISM Band applications. Pure 100 % Cotton is used as dielectric substrate material with dielectric constant 1.6. This antenna is flexible and suitable for wearable applications. The designed antenna resonates at ISM (Industrial, Scientific, and medicine) band with a return loss of more than −25 dB. The simulated and measured results show the performance in terms of Return Loss, Radiation pattern which shows the efficiency of the proposed antenna and this flexible softwear antenna is measured in various bending environments are presented in this paper. Investigation focuses on an ordinary cotton cloth with 3 mm thickness, used as its substrate, and the patch and ground plane are made up of copper as conducting material together to form a flexible textile antenna. Proposed antenna is tested in various bending condition. Such Textile antenna designed for an ISM Band 2.45 GHz. Its radiation characteristics, return loss, gain, polarization have been examined which are the issues when it is used as a wearable antenna for medical purpose. Since it is a flexible textile antenna it bends for any condition. Observations were done for various diameter PVC pipes which is equivalent to the human body organs like arm, elbow, forearm, wrist or in the leg, ankle, knee, thigh and its resonant frequencies were noted. One of the advantages of these characteristics is once the antenna is flexible and bends in any condition then the specific absorption rate can be reduced, when this antenna is placed on the human body. © Springer India 2016.


Jason D.M.,Panimalar Institute of Technology | Gowtham S.,Panimalar Institute of Technology
2015 IEEE Underwater Technology, UT 2015 | Year: 2015

This paper describes the different techniques available for extracting mechanical energy from the waves and controls the wave power conversion system. Some sort of control system is necessary to get the maximum power output from the converter. Also the optimum oscillation of wave energy converter is important to get the maximum energy from the wave. In this paper the maximum power production from the wave is achieved by controlling the wave power converter using PID controller. © 2015 IEEE.


Loganathan P.,Anna University | Iranian D.,Panimalar Institute of Technology | Ganesan P.,Anna University
International Review of Mechanical Engineering | Year: 2012

This paper is focused on the study of heat generation on unsteady natural convective flow over a semi infinite vertical isothermal plate with effects of variable viscosity. It is assumed that the viscosity of the fluid to vary as an exponential function of the temperature. The governing equations of continuity, momentum and energy are transformed into non-linear coupled equations and then solved using implicit finite-difference method of Crank -Nicholson type. The fundamental parameter of the problem is variable viscosity parameter. Numerical results are found for different values of heat generation, viscosity variation parameters and Prandtl number (both air and water). The velocity, temperature distributions, local as well as skin friction coefficient and Nusselt number are analyzed numerically and shown graphically. The skin-friction coefficient and heat transfer rate are found to depend strongly on the viscosity parameter. It is noted that the results pertaining to variable fluid properties differ significantly from those of the constant fluid properties. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.


Joshi A.,Panimalar Institute of Technology
IEEE Proceedings of the INternational Conference On Emerging Trends in Science Engineering and Technology: Recent Advancements on Science and Engineering Innovation, INCOSET 2012 | Year: 2014

The aim of this paper is to study the reliability of communication networks using Wiener index. Use of ICT (Information and Communication Technology) or the computer communication using electronic messaging has increased tremendously in recent years. Also the modern networks that support ICT are robust, ie., its failure due to links, routing protocols, congestion etc is rare and as result, the estimation of the overall reliability of the communication networks becomes an important problem. This paper presents the graph invariant which calculates the reliability of the communication network and presents the new network topology with maximum reliability interms of the sum of distances (hops) between every pair of nodes in the communication networks. The simulated experimentation of the proposed graph invariant for the new topology has been done and compared with existing methods. © 2012 IEEE.


Dhamodaran G.,Panimalar Institute of Technology | Esakkimuthu G.S.,Velammal Engineering College | Pochareddy Y.K.,Velammal Engineering College
Fuel | Year: 2016

In this study, the effects of diisopropyl ether (DIPE)-gasoline (D10, D20, and D30) fuel blends on the performance, combustion, and emission characteristics of a spark ignition engine were investigated. In the study a four-stroke, four-cylinder multi-point fuel injection system (MPFI) engine with an eddy current dynamometer was used. The tests were performed at speeds between 1400 rpm and 2800 rpm under the load conditions of 20 N m and 25 N m. The results obtained from the DIPE-gasoline blends were compared with gasoline fuel. The DIPE-gasoline blends produced higher brake thermal efficiency, in-cylinder pressure, and heat release rates as compared to gasoline fuel. From emission point of view hydrocarbon (HC) and carbon monoxide (CO) emissions were found lesser, whereas carbon dioxide (CO2) and nitrogen oxide (NOx) emissions were observed higher in case if DIPE-gasoline blends compared to gasoline. However, retarding the ignition timing resulted in reduced NOx emission in DIPE-gasoline blends. © 2016 Elsevier B.V. All rights reserved.


Bhuvaneswari A.N.G.,Panimalar Institute of Technology
2013 5th International Conference on Advanced Computing, ICoAC 2013 | Year: 2014

Medical diagnosis is done mostly by medical practitioner's expertise and experience. But in some cases, it may lead to wrong diagnosis and treatment. In this paper, a medical diagnosis system is proposed to predict the risk of cardiovascular diseases with high prediction accuracy. This system is built using an intelligent approach based on Principal Component Analysis (PCA) and Adaptive Neuro Fuzzy Inference System (ANFIS). This system has two stages: In the first stage, dimension of heart disease dataset that has 13 attributes is reduced to 7 attributes using PCA. In the second stage, diagnosis of heart disease is conducted using ANFIS. In ANFIS, the learning capabilities of neural network and reasoning capabilities of fuzzy logic is combined inorder to give better prediction. The heart disease dataset used is Cleveland Heart Disease dataset provided by the University of California, Irvine (UCI) Machine Learning Repository. The obtained classification accuracy using this approach is 93.2%. © 2013 IEEE.


Joshi A.,St Peters University | Subedha V.,Panimalar Institute of Technology
Advances in Intelligent Systems and Computing | Year: 2016

The aim of this paper is to study and compare the reliability of networks using Wiener index. The computer communication using electronic messaging has increased in recent years. The calculation of the overall reliability of the networks becomes an important problem. This paper presents the topology invariant which calculates the reliability of the newly constructed network using graph operations tensor product and Cartesian product in Topology theory. The simulated experimentation of the proposed topology invariant for the new topologies have been done and compared with existing topologies. © Springer Science+Business Media Singapore 2016.

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