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Thomas F.K.,Sathyabama University | Partheeban P.,Sriram Engineering College
Proceedings of Institution of Civil Engineers: Construction Materials | Year: 2010

An experimental study on high-performance concrete made with granite powder as fine aggregate and partial replacement of cement with admixtures subjected to water curing was carried out. The percentage of granite powder added by weight was 0, 25, 50, 75 and 100% as a replacement of the sand used in concrete and cement was partially replaced with 7·5% silica fume, 10% fly ash, 10% slag and 1% superplasticiser. The water-to-binder (w/b) ratio was 0·40. The effects of curing water temperature at 26 and 32°C for 1, 7, 14, 28, 56 and 90 days on the compressive strength, split tensile strength, modulus of elasticity, drying shrinkage, hydration and water penetration of concrete were studied. The test results showed clearly that granite powder of marginal quantity, used as partial sand replacement, has beneficial effects on the compressive strength and split tensile strength, modulus of elasticity. The highest compressive strength was achieved in samples containing 25% granite powder. The overall performance revealed that granite powder can be utilised as a partial replacement of natural sand in highperformance concrete.


Chitradevi B.,Thanthai Hans Roever College | Manikandan S.,Sriram Engineering College
International Journal of Applied Engineering Research | Year: 2015

The problem of data hiding has been well studied in several methods and the application of steganography has been well known. To perform data hiding using steganography method has been used in number of situations and there are some issues of distortion and irreversible data as well as image. To overcome the issues of earlier methods, the block based continuous reversible character encoding scheme is proposed in this paper. The method starts with encoding the meta data in the first block of the image, where the size of block is decided based on the size of data to be encoded. First the method computes the size of data to be encoded in bit and computes number of blocks to be used. Then the method choose the first block with size 3×3, and each row of the pixels are used to encode different information. The first row is to store the size of data has been encoded and the next row is used to encode number of blocks being used. The third row is used to specify whether multi level encoding has been used or not. The method then splits the input data into number of characters and based on the value of multi level being used, the method encodes the data using averaging scheme. © Research India Publications.


Selvam V.S.,Sriram Engineering College | Devi S.S.,Anna University
Measurement Science Review | Year: 2015

The scalp electroencephalography (EEG) signal is an important clinical tool for the diagnosis of several brain disorders. The objective of the presented work is to analyze the feasibility of the spectral features extracted from the scalp EEG signals in detecting brain tumors. A set of 16 candidate features from frequency domain is considered. The significance on the mean values of these features between 100 brain tumor patients and 102 normal subjects is statistically evaluated. Nine of the candidate features significantly discriminate the brain tumor case from the normal one. The results encourage the use of (quantitative) scalp EEG for the diagnosis of brain tumors © 2015 by V. Salai Selvam.


Senthil Kumar B.,Anna University | Suresh K.,Sriram Engineering College
International Journal of Applied Engineering Research | Year: 2015

In this paper control of a nonlinear underactuated system is considered. The nonlinear underactuated system taken here is an rotary inverted pendulum. The regulatory and tracking control is done using pole placement technique and Linear Quadraticregulatory. Sliding Mode Control method was applied for bounded disturbance when the system is maintained in upright motion by applying bounded disturbance. © 2015 Research India Publications.


Selvam V.S.,Sriram Engineering College | Shenbagadevi S.,Anna University
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS | Year: 2011

Use of scalp EEG for the diagnosis of various cerebral disorders is progressively increasing. Though the advanced neuroimaging techniques such as MRI and CT-SCAN still stay as principal confirmative methods for detecting and localizing brain tumors, the development of automated systems for the detection of brain tumors using the scalp EEG has started attracting the researchers all over the world notably since 2000. This is because of two important facts: (i) cheapness and easiness of methods of recording and analyzing the scalp EEG and (ii) lower risk and possible early detection. This paper presents a method of detecting the brain tumor using the first, second and third order statistics of the scalp EEG with a Modified Wavelet-Independent Component Analysis (MwICA) technique and a multi-layer feed-forward neural network. © 2011 IEEE.


Vanitha M.,Sriram Engineering College | Parvathavarthini B.,St. Joseph's College
2013 IEEE International Conference on "Smart Structures and Systems", ICSSS 2013 | Year: 2013

The two ad-hoc routing protocols, Ad-hoc On demand Distance Vector (AODV) and Dynamic Source Routing (DSR) suffer a number of shortcomings. The main issues are longer path set up time in case of link failures, scalability problem because of routing overhead and etc. A combination of the two routing protocols called DOA (DSR over AODV) is used to overcome these issues. DOA is usually implemented using a model called Way Point Routing model in which the problem of position estimation errors occurs. This work enhances DOA with a new algorithm called Exponential Weighted Moving Average (EWMA) for on-line updating of nodal contact probability to minimize the possibilities of position estimation errors. In this work, new packet called Delay to Send (DTS) packets instead of NACK packets has been used in addition to RTS and CTS packets. Here DTS packets are to recover the delayed data within a certain time period instead of dropping the packet after final retransmission in case of delay due to unexpected traffic in packet delivery. A Simulation analysis is carried out to analyze the performance of DOA with EWMA compared to AODV and DSR. It proves that DOA with EWMA reduces the routing overhead by 80% and scalability problem that occurred in AODV and DSR. © 2013 IEEE.


Selvam V.S.,Sriram Engineering College
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2011

Use of scalp EEG for the diagnosis of various cerebral disorders is progressively increasing. Though the advanced neuroimaging techniques such as MRI and CT-SCAN still stay as principal confirmative methods for detecting and localizing brain tumors, the development of automated systems for the detection of brain tumors using the scalp EEG has started attracting the researchers all over the world notably since 2000. This is because of two important facts: (i) cheapness and easiness of methods of recording and analyzing the scalp EEG and (ii) lower risk and possible early detection. This paper presents a method of detecting the brain tumor using the first, second and third order statistics of the scalp EEG with a Modified Wavelet-Independent Component Analysis (MwICA) technique and a multi-layer feed-forward neural network.


Kavitha K.,k-Technology | Manikandan S.,Sriram Engineering College
International Journal of Applied Engineering Research | Year: 2015

In this paper, we propose an improved linear channel estimation algorithm using a channel shortening prefilter for OFDMA (Orthogonal Frequency Division Multiple Access) based Worldwide Interoperability for Microwave Access (WiMAX) systems. The prefilter employs the Channel Impulse Response (CIR) length estimated from channel autocorrelation. The simulation results show that the improvement of Mean Square Error (MSE) for Signal to Noise Ratio (SNR) of 10 dB with CIR length estimation is about 10 dB when compared to conventional methods. © Research India Publications.


Jayahar D.,Sriram Engineering College | Ranihemamalini R.,St Peters Engineering College
2011 International Conference on Emerging Trends in Electrical and Computer Technology, ICETECT 2011 | Year: 2011

In this paper, Inductor Average Current Mode Control (IACMC) is proposed to regulate single phase Power Factor Correction (PFC) Buck-Boost Converter (BBC) operated in Continuous Conduction Mode (CCM). The Proportional-Integral (PI) controller is acts as an outer voltage loop and the IACMC is used in the inner current loop for PFC BBC. The proposed IACMC has advantages such as robustness when there are large variations in line voltage and output load. The PI controller is developed by using state space average model of BBC. The simulation of the proposed system with its control circuit is implemented in MatLab/Simulink. The simulation results show a nearly unity power factor can be attained and there is almost no change in power factor when the line frequency is at various ranges. © 2011 IEEE.


Vanitha M.,Sriram Engineering College | Parvathavarthini B.,St. Joseph's College
International Review on Computers and Software | Year: 2013

DOA (DSR over AODV) is a hierarchical routing protocol which is a combination of DSR and AODV. It is used to overcome the routing issues that occur in MANETs when the network size increases. Some of the issues in MANETs are: large time consumption for either setting up a new path or to retrieve the failed path in case of link failures and scalability problem which occurs due to the increased number of nodes in MANETs resulting in additional routing overhead to the protocol. For combating the above mentioned issues in MANETs, DOA was implemented using Way Point Routing model where due to high frequency fluctuations the problems of position estimation errors appear. This proposed work uses Exponential Weighted Moving Average (EWMA) algorithm to reduce the problem of position estimation error along with DTS to recover the delayed packets within a short period. It also uses Expectation Minimization (EM) algorithm to estimate the nearest neighbor selection using probability function to enhance the performance of DOA. The performance comparison of E-DOA over DSR and AODV has been analyzed in two different scenarios irrespective of the network size and speed of nodes. The simulation results proved that by using EWMA with EM algorithm in DOA, E-DOA performs better than DSR and AODV. In scenario 1, the control overhead is observed to be much reduced in EDOA compared to DSR and AODV by 45% and 25% respectively and in scenario 2, E-DOA shows nearly 66% improvement over DSR and 55% improvement over AODV by using lesser bandwidth to transmit more packets and for the other parameters also E-DOA comparably performed better than AODV and DSR. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.

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