Trichirapalli, India
Trichirapalli, India

Time filter

Source Type

Packia Lekshmi N.,Sathyabama University | Viswanathan M.B.,Bharathidhasan University | Mini Shobi T.,Bharathidhasan University
Asian Journal of Pharmaceutical and Clinical Research | Year: 2015

Objective: This study was subjected to analyze the technique for the determination of quercetin, a flavonoid in onion (Allium cepa L.) from three different cultivars of bulb onion (O1, O2, and O3) which were extracted with petroleum ether, chloroform, methanol, and water. Furthermore, this study was aimed to determine the antimicrobial activity of four solvent extracts of three onion cultivars against 10 microbial type culture collection (MTCC) bacterial pathogens. Methods: Quercetin in onion was determined by analytical technique, high-performance thin layer chromatography, and the antimicrobial activity were performed by the well diffusion method. Result: Quercetin was determined in all the three cultivars with retention factor value 0.68. Quercetin was also extracted in all the four solvent extracts of onion cultivars. Apart from quercetin, few more compounds also isolated. More compounds were isolated in O3. In the determination of the antimicrobial activity of onion extracts against MTCC cultures revealed that all the three onion cultivars were highly active against Staphylococcus aureus, it showed more than 25 mm zone of inhibition. Among the three onion cultivars, O2 showed better antimicrobial activity against all the tested bacterial cultures. Conclusion: This study showed that onion has good broad spectrum bioactivity against microorganisms revealed that it contains phytochemicals which can be used as nutraceuticals. © 2015, Asian Journal of Pharmaceutical and Clinical Research. All rights reserved.


Indragandhi V.,Parisutham Institute of Technology and Science | Indragandhi V.,Bharathidhasan University | Indragandhi V.,Anna University | Veena P.,Salem College | And 3 more authors.
International Review on Modelling and Simulations | Year: 2013

In this paper, we deal with photovoltaic power generation using cascaded H-bridge inverter fed from interleaved soft switching boost converter. The proposed H-bridge inverter approach employs the minimum number of devices. In this approach, five-level H-bridge inverter will reduce the harmonic distortion; it improves the output voltage rating and minimize the necessity of filter. Multisampling technique is adopted for reducing the switching delay and it maximizes the performance of controller. Zero Voltage and Zero current switching methods are used to decrease the switching loss in DC/DC conversion. Interleaved operation of boost converter will reduce the switching losses. Suitable resonant components has been designed and current ripples are minimized significantly. In this paper, results of the complete power conditioning system has been analyzed, verified and presented using MATLAB/SIMULINK software tools. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.


Govarthanan M.,Mahendra Arts and Science College | Selvankumar T.,Mahendra Arts and Science College | Selvankumar T.,Bharathidhasan University | Arunprakash S.,Mahendra Arts and Science College
International Journal of Pharma and Bio Sciences | Year: 2011

A novel feather-degrading Bacillus Sp. was isolated from chick manure. The bacterium produces keratinolytic enzyme using chicken feather as a sole of carbon and nitrogen source. The effect of temperature, pH on keratinase production of this keratinolytic strain was studied. Maximum enzyme activities were obtained within 48 hrs (780U/ml) of cultivation. The optimal conditions for the keratinolytic activity were determined to be pH 9.0 and temperature 60°C; however the enzyme showed a broad range of pH between 5-10 and temperature 20°C - 100°C. In addition, the Bacillus sp was able to completely degrade within a period of 48 hrs.


Manohari D.,Bharathidhasan University | Manohari D.,Anna University | Manohari D.,St. Joseph's College | Anandha Mala G.S.,Bharathidhasan University | And 3 more authors.
International Review on Computers and Software | Year: 2013

To perform fault-tolerant topology control in mobile ad hoc networks (MANET), selection of an appropriate transmission power for each node and maintenance of network connectivity are daunting tasks. Most of the related works have considered either transmission power or network connectivity and not both simultaneously. In this paper, we propose a swarm based topology control algorithm for fault tolerance in MANET. Initially, each node constructs its neighbor set by sending neighbor discovery message to its neighbors. The forward and backward ants are used to gather and update nodes minimum transmission power. Meanwhile, each node calculates its interference number and they are updated in neighbor set table. Before transmitting data to the destination, the source node finds multiple paths and calculates aggregate transmission power and interference value along each path. Finally, source chooses the optimal path that satisfies both minimum interference and minimum transmission power. By simulation, we prove that our work efficiently provide fault tolerant topology control in mobile ad hoc networks. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.


Socrates S.H.,Arunai Engineering College | Socrates S.H.,Bharathidhasan University | Shankar S.,AVVM Sri Pushpam College Autonomous
International Journal of Energy Technology and Policy | Year: 2015

Industries of tapioca starch produce several billion litres of coloured, often toxic and harmful wastewaters over the world annually. Those effluents have strong concentrations of COD (10-200 g l-1), phenol and its derivatives (0.5-8 g l-1) and often contain proteins, cyanides, chlorinated lignin compounds and dyes. The large amount of lignin derivatives of these effluents is responsible of their dark-brown colour. The phenolic compounds of such wastewaters exert some bactericidal effects on wastewater treatment plant (WWTP) microorganisms. Fungal treatment of these effluents under aerobic conditions makes it possible to obtain phenol reduction (51-100%), good decolourisation (31-100%), biochemical oxygen demand (BOD) reduction up to 85.4%, and enzyme production. In the present work an attempt has been made to treat the tapioca sago effluent by the fungi Gliocladium roseum. The result shows that the fungi have ability to reduce the pollutants in the waste and can be employed for the treatment to yield good efficiency. Copyright © 2015 Inderscience Enterprises Ltd.


Meena K.,Bharathidhasan University | Subramaniam K.R.,Shrimathi Indira Gandhi College | Gomathy M.,Shrimathi Indira Gandhi College
European Journal of Scientific Research | Year: 2011

Gender grouping is one of the most important processes in speech recognition. Generally gender grouping is done by considering some parameters in the speech. Among them the most important parameter is frequency. Normally the frequency of females is higher than that of the males. By considering this condition the gender grouping is done. In some males the frequency is very high and in some females the frequency is very low. In such situation we didn't get the exact result. So, here we propose a gender grouping method which considers three features and uses the Euclidean distance method to calculate the distance between the features. For that first a common threshold value is calculated from the training dataset and during testing if we give a set of speech signal as input, the output we obtained is grouping of speech signals based on gender. The implementation result shows the performance of our proposed technique in gender grouping. © EuroJournals Publishing, Inc. 2011.


Gomathy M.,Shrimathi Indira Gandhi College | Meena K.,Bharathidhasan University | Meena K.,Shrimathi Indira Gandhi College | Subramaniam K.R.,Shrimathi Indira Gandhi College
International Journal of Speech Technology | Year: 2011

One of the most important processes in speech processing is gender classification. Generally gender classification is done by considering pitch as feature. In general the pitch value of female is higher than the male. In some cases, pitch value of male is higher and female is low, in that cases this classification will not obtain the exact result. By considering this drawback here proposed a gender classification method which considers three features and uses fuzzy logic and neural network to identify the given speech signal belongs to which gender. For training fuzzy logic and neural network, training dataset is generated by considering the above three features. After completion of training, a speech signal is given as input, fuzzy and neural network gives an output, for that output mean value is taken and this value gives the speech signal belongs to which gender. The result shows the performance of our method in gender classification. © 2011 Springer Science+Business Media, LLC.


Meena K.,Bharathidhasan University | Subramaniam K.R.,Shrimathi Indira Gandhi College | Gomathy M.,Shrimathi Indira Gandhi College
International Journal of Signal and Imaging Systems Engineering | Year: 2014

Gender classification is one of the most important processes in speech processing. Generally gender classification is done by considering pitch as feature. Normally the pitch value of female is higher than the male. By using this condition, gender classification process takes place. But in some case the pitch value of male is higher and also pitch of female is low, in that case this classification does not provide the exact result. By considering the abovementioned drawback, here proposed a new method for gender classification in speech processing which considers three features and uses fuzzy logic and neural network to identify the gender of the speaker. The features considered in the proposed method is energy entropy, short time energy and zero crossing rate. For training fuzzy logic and neural network, training dataset is generated using the above three features. Then mean value is computed from the result obtained from fuzzy logic and neural network. The gender classification is done by using this mean value. The implementation result shows the performance of the proposed technique in gender classification. © 2014 Inderscience Enterprises Ltd.


Meena K.,Bharathidhasan University | Subramaniam K.,Shrimathi Indira Gandhi College | Gomathy M.,Shrimathi Indira Gandhi College
International Arab Journal of Information Technology | Year: 2013

Nowadays classification of gender is one of the most important processes in speech processing. Usually gender classification is based on considering pitch as feature. The pitch value of female is higher than the male. In most of the recent research works gender classification process is performed using the abovementioned condition. In some cases the pitch value of male is higher and also pitch of some female is low, in that case this classification does not produce the exact required result. By considering the aforementioned problem we have here proposed a new method for gender classification method which considers three features. The new method uses fuzzy logic and neural network to identify the gender of the speaker. To train fuzzy logic and neural network, training dataset is generated by using the above three features. Then mean value is calculated for the obtained result from fuzzy logic and neural network. By using this threshold value, the proposed method identifies the speaker belongs to which gender. The implementation result shows the performance of the proposed technique in gender classification.

Loading Bharathidhasan University collaborators
Loading Bharathidhasan University collaborators