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Vijayalakshmi P.,Pandian Saraswathi Yadav Engineering College | Sumathi M.,Sri Meenakshi Government Arts College for Women
4th International Conference on Advanced Computing, ICoAC 2012

Design of an algorithm for vehicle identification by recognizing the number plate is presented. This new vehicle identification technique consists of vehicle detection, plate localization and character recognition. Here, Genetic algorithm (GA) is employed at two levels: for detecting vehicle from traffic image and recognizing character from the number plate. Detection is based on contour and shape information. GA controls the window size to capture each vehicle in a separate widow. Connectivity and adjacency concepts are used to locate and extract number plate and its characters. A digital board (DB) with window panes is introduced to recognize each character uniquely. GA is adopted at the second level to map character pixels into the window panes as lines. For each character in the number plate, distinct feature vector is computed. Finally, a feature based matching is adopted for character recognition. Experiments have been conducted with images taken from various scenes and conditions and the detection rate is found to be 92.5 %. Experiments have conducted for recognition with LPR images taken at different conditions and the recognition rate is found to be 91 %. Detection time is linear function of number of objects in the input image. Potential applications include provisioning of vehicle parking facilities and campus security system for permitting authorized vehicles into the premises. © 2012 IEEE. Source

Krishna Bama G.,Sri Meenakshi Government Arts College for Women | Anitha R.,Madurai Kamaraj University | Ramachandran K.,Madurai Kamaraj University
Nondestructive Testing and Evaluation

Thermal diffusivity and thermal conductivity of aqueous solution of D-mannitol for various concentrations are measured at room temperature by ultrasonics and photoacoustic techniques, which show weak concentration dependence. The present result will be useful as data for further use, as these are rarely reported in literature. Source

Santhi M.,Sri Meenakshi Government Arts College for Women | John Peter A.,Government Arts and Science College
Physica E: Low-Dimensional Systems and Nanostructures

We study the effects of laser field intensity over the ground state binding energy of light and heavy hole excitons confined in GaAs/Ga1-xAlxAs cylindrical quantum wire. We have applied the variational method using 1s-hydrogenic wavefunctions, in the framework of the single band effective mass approximation and computed the exciton binding energy as a function of the wire radius for different field of laser intensities. The valence-band anisotropy is included in our theoretical model by using different hole masses in different spatial directions. The results show that (i) the binding energy is found to increase with decrease in the wire radius, and decrease with increase in the value of laser field amplitude, (ii) the heavy-hole exciton in a cylindrical quantum wire is more strongly bound than the light-hole exciton and (iii) the binding energy of the impurity for the narrow wire is more sensitive to the laser field amplitude. © 2010 Elsevier B.V. All rights reserved. Source

Sarala Thambavani D.,Sri Meenakshi Government Arts College for Women | Sabitha M.A.,Ja College For Women Autonomous
Research Journal of Pharmaceutical, Biological and Chemical Sciences

Waste water samples from sugar industry were collected and analyzed for biological oxygen demand (BOD) and chemical oxygen demand (COD). In the present study, Mangifera indica leaf powder was used for the treatment of sugar mill effluent. The kinetics of COD and BOD degradation were measured and fitted to several equations (zero-, first-, second-, diffusion, parabolic diffusion, simple Elovich and exponential equations). Two initial COD and BOD concentrations were 21216 mg/l and 9333 mg/l respectively and the observations were carried out for 8 hours. Even though zero-, second-, parabolic diffusion and exponential kinetics adequately describe the data, diffusion kinetics indicated the best model for describing the degradation of organic matter with high coefficient of determination (R2 = 0.928 and 0.937 respectively for COD and BOD reduction). The data indicate that the prepared adsorbent surface sites are heterogeneous in nature and that fits into a heterogeneous site-binding model. Commonly used isotherms namely Freundlich and Temkin models were studied. The present system followed the Temkin isotherm model. The results supported that the Mangifera indica based bioadsorbent can be used to remove the excess organic waste from its contaminant sources. Source

Sumathi M.,Sri Meenakshi Government Arts College for Women | Vijayalakshmi P.,PSY Engineering College
Proceedings of 2015 IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2015

In traditional ART2 network, class representation is contained in a F2 node instead of being dispersed on several nodes. As a result, any harm to that F2 node leads to the loss of that class. The proposed network is capable of maintaining categories in a dynamic hierarchical structure. The new architecture is characterized by: (a) maintains all the characters of traditional ART2 network; (b) Creates better clustering of patterns; (c) preserve learnt patterns in a dynamic structure. The proposed networks provide a few advantages, quick learning and reduced search time. To demonstrate their capabilities, the proposed networks were applied to solve the image classification problems. The proposed network is believed to achieve effective unsupervised task and it has been experimentally found to perform well in images classification. © 2015 IEEE. Source

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