Anjalai Ammal Mahalingam Engineering College

Tamil Nadu, India

Anjalai Ammal Mahalingam Engineering College

Tamil Nadu, India
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Nantha Kumar G.,Anjalai Ammal Mahalingam Engineering College | Arokiasamy A.,Egspillay Engineering College
Journal of Theoretical and Applied Information Technology | Year: 2014

Admission Control plays a remarkable role in dealing with lots of wireless heterogeneous networks which may admit new sessions for a network with most conquer aspect to supply the requested QoS. To keep off the abjection of QoS under the low priority sessions here, we nominate a QoS based Robust Call Admission Control (RCAC) Algorithm. The service classes are assorted into four major categories on the basis of class of service and type of service, which could be reacted on the real time and non real time traffics along with handover and incoming new request. The algorithm concentrates on providing priority based on transmission and space. This algorithm trying to downplays the blocked sessions that have been chosen with deficient resources around the network. With the help of simulated results and graph, we display that our suggested technique affords improve throughput along with cut down in delay. © 2005 - 2014 JATIT & LLS. All rights reserved.


Muthamilselvi P.,SRM University | Karthikeyan R.,Anjalai Ammal Mahalingam Engineering College | Kumar B.S.M.,SRM University
Desalination and Water Treatment | Year: 2014

In the present study, optimization of phenol adsorption onto garlic peel (GP) was conducted with process parameters such as initial pH, adsorbent dosage, agitation speed, and contact time. The percentage removal of phenol was optimized based on these process parameters. Response surface methodology was used for optimization as it has many advantages over classical optimization methods. A Box–Behnken experimental design was employed. The optimum conditions for maximum removal of phenol from an aqueous solution of 50 mg L−1 were found as follows: pH: 2, adsorbent dosage: 2.1 g L−1, contact time: 7 h, and agitation speed: 135 rpm. At these optimized conditions, batch adsorption experiments were conducted to study the effects of initial concentration and temperature on phenol removal. Thermodynamic parameters such as (Formula presented.) and (Formula presented.) were also evaluated. From the results, the sorption process was found to be spontaneous and exothermic. The equilibrium experimental data were analyzed with several isotherm models. The adsorption kinetics for phenol removal by GP follows the pseudo-second-order kinetic model. The results from the study demonstrated that more than 80% phenol removal is possible at the above-mentioned optimum conditions. © 2014 Balaban Desalination Publications. All rights reserved.


Kumar M.M.,SRM University | Karthikeyan R.,Anjalai Ammal Mahalingam Engineering College
Asian Journal of Chemistry | Year: 2016

The coagulation process using NaCl and KCl salt solution extracted protein from Moringa oleifera seeds is reported for tannery wastewater treatment in the present study. The important process parameters coagulant dosage and pH were optimized using Hessian matrix approach. Central composite design employing coagulant dose and pH as input variables was considered for developing response surface models for colour (%) and turbidity (%) removal. The dosage 45 mL and pH 7 was found to be optimum conditions for maximum 84 % colour removal by NaCl extracted coagulant, whereas for KCl extracted coagulant optimal point was 46.1 mL dosage and pH 6.9. For turbidity (%) removal using NaCl extracted coagulant the optimum condition was 40.2 mL dosage and pH 7.5. The removal efficiency of NaCl extracted coagulant was more than KCl extracted coagulant suggesting that NaCl salt solution is more effective in extracting the active agent from Moringa oleifera seeds.


Sivaramakrishnan K.,Anjalai Ammal Mahalingam Engineering College | Sivaramakrishnan K.,Anna University | Ravikumar P.,College of St. Joseph
International Journal of Environmental Science and Technology | Year: 2014

This work investigates the influence of compression ratio on the performance and emissions of a diesel engine using biodiesel (10, 20, 30, and 50 %) blended-diesel fuel. Test was carried out using four different compression ratios (17.5, 17.7, 17.9 and 18.1). The experiments were designed using a statistical tool known as design of experiments based on response surface methodology. The resultant models of the response surface methodology were helpful to predict the response parameters such as brake specific fuel consumption, brake thermal efficiency, carbon monoxide, hydrocarbon and nitrogen oxides. The results showed that best results for brake thermal efficiency and brake specific fuel consumption were observed at increased compression ratio. For all test fuels, an increase in compression ratio leads to decrease in the carbon monoxide and hydrocarbon emissions while nitrogen oxide emissions increase. Optimization of parameters was performed using the desirability approach of the response surface methodology for better performance and lower emission. A compression ratio 17.9, 10 % of fuel blend and 3.81 kW of power could be considered as the optimum parameters for the test engine. © 2013 Islamic Azad University (IAU).


Rajarajan G.,Anjalai Ammal Mahalingam Engineering College | Ganesan L.,Alagappa Chettiar College of Engineering And Technology
Wireless Personal Communications | Year: 2016

Intrusion is the primary step to conduct various kinds of network attacks. Most of the intrusion detection and intrusion prevention systems (IDPS) that make use of signature can detect only known attacks, but cannot save resources from new form of attacks like internet worms. Thus, it is necessary to collect information about unknown intrusion dynamically. Honeypots are useful security mechanism that deliberately lure intruders to probe, attack or compromise the systems. This paper presents an agent based honeymesh for protecting the network resources like servers from intrusion related attacks. In our strategy, agent programs make use of decoyports to lure intruders and redirects to honeymesh to understand attackers’ activities. Also, the agents remove malicious processes and executable files on compromised server as soon as honeypots alerts those intrusions. This novel defense mechanism detects and removes new kinds of internet worms without using signatures. © 2016 Springer Science+Business Media New York


Raja C.,Anjalai Ammal Mahalingam Engineering College | Gangatharan N.,k-Technology
International Journal of Automation and Computing | Year: 2015

The most common reason for blindness among human beings is Glaucoma. The increase of fluid pressure damages the optic nerve which gradually leads to irreversible loss of vision. A technique for automated screening of Glaucoma from the fundal retinal images is presented in this paper. This paper intends to explore the significance of both the approximate and detail coefficients through wavelet packet decomposition (WPD). Decomposition is done with “db3” wavelet function and the images are decomposed up to level-3 producing 84 sub-bands. Two features, the energy and the entropy are calculated for each sub-band producing two feature matrices (158 images × 84 features). The above step is purely a statistical measure based on WPD. To enhance the diagnostic accuracy, the second phase considers the structural (biological) region of interest (ROI) in the image and then extracts the same features. It is worthy to note that direct biological features are not extracted to eliminate the drawbacks of segmentation whereas the biologically significant region is taken as biological-ROI. Interestingly, the detailed coefficient sub-bands (prominent edges) show more significance in the biological-ROI phase. Apart from enhancing the diagnostic accuracy by feature reduction, the paper intends to mark the significance indices, uniqueness and discrimination capability of the significant features (sub-bands) in both the phases. Then, the crisp inputs are fed to the classifier ANN. Finally, from the significant features of the biological-ROI feature matrices, the accuracy is raised to 85% which is notable than the accuracy of 79% achieved without considering the ROI. © 2015, Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.


Tamizharasan T.,TRP Engineering College | Barnabas J.K.,Anjalai Ammal Mahalingam Engineering College | Pakkirisamy V.,Indian National Institute of Engineering
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture | Year: 2012

The direct measurement of flank wear at regular intervals of time during machining consumes men and machine hours. This analysis focuses on the online monitoring of flank wear in turning from the experimentally observed audible acoustic emission signal. It is used as one of the indirect methods of monitoring flank wear in turning. The corresponding flank wear in all the test conditions for a machining time of 300 s are observed and recorded. When the value of the audible acoustic emission signal tends to reach the unsafe limit corresponding to the flank wear of above 0.2 mm, the operator is alerted to stop the operation to replace the tool. This technique minimizes the tool cost without sacrificing the quality of the final product. Also, this analysis inter-relates the performances of the design of experiments, regression analysis and simulated annealing algorithm to obtain the best possible solution. The result of this analysis identifies the optimal values of selected parameters for effective and efficient machining. The experimental, optimized and predicted values of flank wear are compared and correlated with the experimental audible acoustic emission signal. © IMechE 2012.


Paramasivam P.,Anjalai Ammal Mahalingam Engineering College | Raja C.R.,Government Arts College Autonomous
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy | Year: 2011

Single crystals of cadmium manganese thiocyanate, CdMn(SCN)4 (CMTC) have been successfully synthesized and grown by slow evaporation solution growth technique using water as solvent at room temperature. The crystal was characterized by different techniques for finding its suitability for device fabrications. From the single crystal XRD the crystal system was identified as tetragonal. The functional groups were identified from FTIR analysis. The optical studies have been carried out and found that the tendency of transmission observed from the specimen with respect to the wavelength of light is practically more suitable for the present trends in communication engineering. From the thermal analysis the decomposing temperature of the grown crystal is more significant when compared with the studies performed earlier. © 2011 Elsevier B.V. All rights reserved.


Paramasivam P.,Anjalai Ammal Mahalingam Engineering College | Ramachandra Raja C.,Government Arts College Autonomous
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy | Year: 2012

Single crystals of glycinium hydrogen squarate (GHS) have been successfully synthesized and purity of the material has been increased by repeated recrystallization process. Single crystals were grown by slow evaporation solution growth technique using water and ethanol as solvents at room temperature. Then the grown crystal was characterized by different techniques for finding its suitability for device fabrications. The grown crystal was characterized by single crystal XRD, powder XRD, FT-IR, UV-Vis-NIR, 1H NMR, 13C NMR, SHG and DTA/TGA analyses respectively. From the single crystal XRD diffraction, the crystal system was identified as monoclinic. The presence of functional groups were identified by FT-IR analysis. The UV transparency cut-off wavelength of the grown crystal occurs at 342 nm. 1H NMR and 13C NMR spectroscopic studies were employed to elucidate the structure of the grown crystal. The second harmonic generation efficiency test by Kurtz-Perry technique showed positive result. The decomposition temperature of the grown crystal was studied by DTA/TGA analysis. The results observed from the characterization analyses show its suitability for NLO applications. © 2012 Elsevier B.V. All rights reserved.


Raja C.,Anjalai Ammal Mahalingam Engineering College | Gangatharan N.,k-Technology
Computers in Biology and Medicine | Year: 2015

Glaucoma is among the most common causes of permanent blindness in human. Because the initial symptoms are not evident, mass screening would assist early diagnosis in the vast population. Such mass screening requires an automated diagnosis technique. Our proposed automation consists of pre-processing, optimal wavelet transformation, feature extraction, and classification modules. The hyper analytic wavelet transformation (HWT) based statistical features are extracted from fundus images. Because HWT preserves phase information, it is appropriate for feature extraction. The features are then classified by a Support Vector Machine (SVM) with a radial basis function (RBF) kernel. The filter coefficients of the wavelet transformation process and the SVM-RB width parameter are simultaneously tailored to best-fit the diagnosis by the hybrid Particle Swarm algorithm. To overcome premature convergence, a Group Search Optimizer (GSO) random searching (ranging) and area scanning behavior (around the optima) are embedded within the Particle Swarm Optimization (PSO) framework. We also embed a novel potential-area scanning as a preventive mechanism against premature convergence, rather than diagnosis and cure. This embedding does not compromise the generality and utility of PSO. In two 10-fold cross-validated test runs, the diagnostic accuracy of the proposed hybrid PSO exceeded that of conventional PSO. Furthermore, the hybrid PSO maintained the ability to explore even at later iterations, ensuring maturity in fitness. © 2015 Elsevier Ltd.

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