Center for Post Graduate Studies

Jaynagar, India

Center for Post Graduate Studies

Jaynagar, India
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Masthan Ali A.H.,VTU | Ali Ahammed G.F.,Center for Post Graduate Studies | Banu R.,GSSSIETW | Parameshachari B.D.,GSSSIETW
2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques, ICEECCOT 2016 | Year: 2017

The security of remote sensor systems is profoundly vital because of unjustifiable dangers which cripple existing framework. The vast majority of the conventions on security depend on verification and encryption. The utilization of notoriety and trust frameworks has turned into an essential secure component in remote sensor framework. Occasion based trust system model using events is more reasonable than different sorts of trust models. Be that as it may, trust model requires further upgrades like outlining extraordinary hub with high handling power, shield from disclosure furthermore it ought to speak with remote systems administration office. © 2016 IEEE.


Angadi S.A.,Center for Post Graduate Studies | Kagawade V.C.,Basaveshwar Engineering College
Pattern Recognition | Year: 2017

Face recognition is a challenging and one of the most active area of research in computer vision. Variations in face image due to change in illumination, expression and presence of occlusions along with aging present many challenges to face recognition system. In this paper a new approach to robust face recognition using Polar FFT features modeled as symbolic data is proposed. Initially the face segment is cropped from the image using Viola-Jones algorithm and is converted into gray scale image of size 120 × 120 pixels. 2D-DFT is performed on pre-processed image. The dominant magnitude of 2D-DFT coefficients are computed using polar fourier transform technique and are represented as 1D P-FFT. The magnitude that represents maximum value in 1D P-FFT is considered as a feature value. The extracted feature value is used to construct a symbolic object to represent a face image. Further, a new symbolic similarity measure is devised and employed for assigning test symbolic object to a face class. The performance of the proposed method is evaluated with AR database and an average accuracy of 96.25% is achieved. 100% and 97% verification rate is achieved on the ORL and LFW face databases respectively. The various experiments conducted on AR, ORL and LFW databases using the proposed symbolic data modeling approach shows that this method has a very high degree of recognition and is better compared to some of the recently reported face recognition techniques. © 2017 Elsevier Ltd


Dash T.,Center for Post Graduate Studies | Ray P.,Center for Post Graduate Studies
Asian Journal of Microbiology, Biotechnology and Environmental Sciences | Year: 2013

The present study is concerned with the production of a-amylase by Bacillus subtilis. The fermentation was carried out by continuous shaking in 250mL Erlenmeyer flask containing 100mL of the medium. The maximum production of the enzyme was optimized at the pH 7.5, while the incubation temperature investigated was 37°C. The production of enzyme was obtained maximum at 120 hours after incubation (85.940 IU/mL/min). © Global Science Publications.


Dixit A.K.,Center for Post Graduate Studies | Kadavul K.,Center for Post Graduate Studies | Rajalakshmi S.,Center for Post Graduate Studies | Shekhawat M.S.,Arignar Anna Government Arts College
Indian Journal of Traditional Knowledge | Year: 2010

Some ethno-biological observations have been made amongst the aboriginals of the South India for their traditional method of treatment using animals and their products. They live in harmony with the nature. They are using many drugs of animal origin (birds, fishes, reptiles, ants, insects, mammals, etc.) They are using entire organism or their body parts and products such as flesh, bones, teeth, bone marrow, blood, fat, testicles, semen; other secretion products such as milk, butter, ghee, honey, and even metabolic products like urine and excreta of not only the domesticated animals but also of the wild animals. Over all, 42 animals were identified as drug producing and recorded by their zoological names.


Sangeetha C.G.,Center for Post Graduate Studies | Rawal R.D.,IIHR
African Journal of Biotechnology | Year: 2010

Anthracnose caused by Colletotrichum gloeosporioides (Penz.) Penz. and Sacc. is one of the most important diseases of mango. During survey, the disease samples of fruits affected by anthracnose were collected from Arambakam, Dapoli, Hassan, Hessarghatta, Lucknow, Raichur, Tiruvur and Tumkur, and isolations were made. Studies were conducted to find out the temperature requirement of different isolates by incubating them at 15, 20, 25 28 and 30°C. The study indicated that the temperature of 25°C was found to be good for the growth of Aramkabam, Lucknow and Tiruvur isolates. Maximum growth of Dapoli, Hessarghatta and Tumkur isolates were recorded at 28°C whereas 30°C supported good growth of Hassan and Raichur isolates, nine days after inoculation. As regards to sporulation, Dapoli, Hessarghatta and Raichur isolates were good at 28°C whereas, 25°C supported good sporulation of Lucknow and Tiruvur isolates. Hassan and Tumkur isolates showed moderate sporulation at 28°C and 25°C supported moderate sporulation of Arambakam.© 2010 Academic Journals.


Dash T.,Center for Post Graduate Studies | Ray P.,Center for Post Graduate Studies
Journal of Pure and Applied Microbiology | Year: 2010

The present study is concerned with the production of α-amylase by Bacillus stearothermophilus. The fermentation was carried out by continuous shaking in 250ml Erlenmeyer flask containing 100ml of the medium. The maximum production of the enzyme was optimized at the pH 7.5, while the incubation temperature investigated was 37°C. The production of enzyme was obtained maximum at 120hours after incubation (14.496 IU/ml/min).


Govindarajan M.,MGGA College | Karabacak M.,Afyon Kocatepe University | Periandy S.,Tagore Arts College | Tanuja D.,Pondicherry Engineering College | Tanuja D.,Center for Post Graduate Studies
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy | Year: 2012

In this work, the experimental and theoretical study on the molecular structure and vibrational spectra of 2,4,5-trichloroaniline (C6H 4NCl3, abbreviated as 2,4,5-TClA) were studied. The FT-IR and FT-Raman spectra were recorded. The molecular geometry and vibrational frequencies in the ground state were calculated by using the Hartree-Fock (HF) and density functional theory (DFT) methods (B3LYP) with 6-311++G(d,p) basis set. Comparison of the observed fundamental vibrational frequencies of 2,4,5-TClA with calculated results by HF and DFT indicates that B3LYP is superior to HF method for molecular vibrational problems. The difference between the observed and scaled wavenumber values of most of the fundamentals is very small. The theoretically predicted FT-IR and FT-Raman spectra of the title molecule have been constructed. A study on the electronic properties, such as HOMO and LUMO energies, were performed by time-dependent DFT (TD-DFT) approach. Besides, molecular electrostatic potential (MEP) and thermodynamic properties were performed. The electric dipole moment (μ) and the first hyperpolarizability (β) values of the investigated molecule were computed using ab initio quantum mechanical calculations. The calculated results also show that the 2,4,5-TClA molecule may have microscopic nonlinear optical (NLO) behavior with non-zero values. Mulliken atomic charges of 2,4,5-TClA was calculated and compared with aniline and chlorobenzene molecules. The 13C nuclear magnetic resonance (NMR) chemical shifts of the molecule were calculated by the gauge independent atomic orbital (GIAO) method and compared with experimental results. © 2012 Elsevier B.V. All rights reserved.


The effects of unilateral and bilateral eyestalk ablations on growth, ovarian maturation, carbohydrate, protein and energy contents were investigated in Macrobrachium lanchesteri (de Man). Daily growth as well as ovarian maturation were accelerated by eyestalk ablation in these prawns. The mortality in ablated prawns was more than that of intact ones. The biochemical components like carbohydrate and protein were altered by eyestalk ablations. The energy content of the different tissues were also showing some variations due to the absence of eyestalk hormones. Eyestalk ablation, especially unilateral this particular species of freshwater prawns. © Published by Central Fisheries Research Institute (CFRI) Trabzon, Turkey.


Balachandran N.,French Institute of PondicherryPondicherry | Balachandran N.,Center for Post Graduate Studies | Rajendiran K.,Center for Post Graduate Studies
Taiwania | Year: 2016

A new species of Cordia (Cordiaceae), C. ramanujamii is described and illustrated from Gingee Hills, Eastern Ghats of Tamil Nadu, India. © 2016, College of Life Science. All rights reserved.


Mishra S.,Center for Post Graduate Studies | Mishra D.,Siksha ‘O’ Anusandhan University | Das S.,CEB | Rath A.K.,CEB
ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology | Year: 2011

Many applications like video surveillance, telecommunication, weather forecasting and sensor networks uses high volume of data of different types. The effective and efficient analysis of data in such different forms becomes a challenging task. Analysis of such large expression data gives rise to a number of new computational challenges not only due to the increase in number of data objects but also due to the increase in number of attributes. Hence, to improve the efficiency and accuracy of mining task on high dimensional data, the data must be preprocessed by an efficient dimensionality reduction method. In this paper, we have proposed to use the method of k-means clustering and principal component analysis (PCA) approach for attribute reduction, which initially apply PCA to obtain reduced uncorrelated attributes specifying maximal eigenvalues in the dataset with minimum loss of information. Then again we proposed to use k-means on the PCA reduced dataset to discover discriminative features that will be the most adequate ones for classification. This is a combination of clustering approach with feature reduction to obtain a minimal set attributes retaining a suitably high accuracy in representing the original features. We have used the Greengram agricultural data set. Finally, we found that the result of clustering is same after reducing the attributes using PCA. © 2011 IEEE.

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