Sri Padmavathi Mahila Visvavidyalayam
Sri Padmavathi Mahila Visvavidyalayam
Abdul Gaffar H.,Vellore Institute of Technology |
Venkata Krishna P.,Sri Padmavathi Mahila Visvavidyalayam
International Journal of Applied Engineering Research | Year: 2016
In Underwater Acoustic Sensor Networks (UASN) designing Medium Access Control (MAC) protocol is a challenging issue. This is due to low bandwidth and high propagation delay in UASN. This paper proposes a MAC protocol for UASN called Aloha with Virtual Back off Algorithm (Aloha-V). The VBA approach is the collision avoidance mechanism for wireless networks. In this proposed work we use VBA with non-counter sharing. The Aloha-V MAC protocol reduces collision probability thereby improves the system throughput by restricting the number of transmissions carried out by the node. The Aloha-V protocol is compared with the existing underwater Aloha protocol. The simulation results show that the proposed method reduces the number of collisions and significantly increases the throughput compared to classical underwater Aloha protocol. © Research India Publications.
Usha R.,Sri Padmavathi Mahila Visvavidyalayam |
Vasavi A.,Sri Padmavathi Mahila Visvavidyalayam |
Spoorthy,Sri Padmavathi Mahila Visvavidyalayam
Pollution Research | Year: 2011
In the present study, an attempt has been made to investigate the quality of ground water in and Around Tirupati, Chittoor District, Andhra Pradesh. The various parameters monitored include pH, Temperature, Total Suspended Solids, Total Dissolved Solids, Total Solids, Dissolved Oxygen, Biochemical Oxygen Demand, Alkalinity, Chlorides, Hardness and Colony Count. The results showed that all water samples have neutral pH, except S8 sample which have slightly acidic pH. In the present analysis we can conclude that the S4 water sample is useful for drinking and household purpose without any treatment and the samples SI, S2, S3 and S8 require some treatment before their use for drinking purpose. A Correlation Study has been carried out among all possible pairs of physical and chemical parameters to assess ground water quality. Copyright © EM International.
Venkata Krishna P.,Sri Padmavathi Mahila Visvavidyalayam |
Sivanesan S.,Vellore Institute of Technology |
Misra S.,Indian Institute of Technology Kharagpur |
Obaidat M.S.,Monmouth University
IEEE CITS 2015 - 2015 International Conference on Computer, Information and Telecommunication Systems | Year: 2015
The continuous alteration of living landscape in earth due to the greatest impact of information technology has converted the whole earth into a small digital village. That means anyone could share information in any form with any other person residing anywhere in the earth. With the availability of information and communication technology like cloud computing, heterogeneous networking, crowd sensing, web services and data mining, anywhere and anytime information sharing is possible, but this will bring out lot of challenges like incompatibility in standards, data portability, data aggregation, data dissemination, differential context and communication overhead. The ICT has changed many aspects of human lifestyle, work places and living spaces. However, there is one sector namely agriculture which has been deprived of the real advantages of ICT. Hence, there exists a digital divide between farming industry and other industries. Farming industry consumes large amount of natural resources such as water, energy and fertilizers that could escalate issues such as global warming, soil degradation and depletion of ground water to the next level. To reduce the global warming effect, farming industry needs to be integrated with relevant technologies. This paper proposes ubiquitous context oriented middleware architecture for precision agriculture (LA-COMPa) to solve major issues such as waste of water, improper application of fertilizer, choice of wrong crops and season, poor yield and lack of marketing. © 2015 IEEE.
Deborah B.V.,Sri Padmavathi Mahila Visvavidyalayam |
Mohiddin M.J.,Sri Padmavathi Mahila Visvavidyalayam |
Madhuri R.J.,Sri Padmavathi Mahila Visvavidyalayam
Toxicology International | Year: 2013
The laboratory studies were conducted to resolute the effects of imidacloprid (insecticide) and triadimefon (fungicide) singly and in combination on enzymatic activities of soil microorganisms in tomato cultivated soils at different concentrations of 0.2, 0.5 and 0.7 kg/ha. The rate of amylase activity was stimulated by the application of pesticides at field rate. High dosage decreased the activity of amylase. Decline in the activity of cellulase was observed at all concentrations than control. Imidacloprid had an improved activity of cellulase at 0.5 μg/g than tridimefon and combination. At higher concentration (0.7 μg/g), the combination of insecticide and fungicide showed an antagonistic interaction toward cellulase. After 24 h, maximum inhibition was observed in invertase enzyme rate at all examined dosages. After 48 h, the activity was revived to some extent and imidacloprid showed enhanced activity at 0.5 μg/g (field rate). However at 0.7 μg/g, imidacloprid has a noticeable effect on the invertase. The pesticide application in single and in combination (0.2-0.7 μg/g soil) triggered the dehydrogenase activity. At field rate triadimefon significantly quickened the activity.
Jhansi Rani S.,Sri Padmavathi Mahila Visvavidyalayam |
Usha R.,Sri Padmavathi Mahila Visvavidyalayam
Journal of Pharmacy Research | Year: 2013
The alteration of crops to improve their production was performed through the basis of selection before the creation of transgenics. This selection has been going on for thousands of years. By the year 2050, world population may reach nine billions. Food production will need to increase at the same rate or more in order to satisfy the needs of such an enormous number of people in some older centuries. So, there is a need to use the genetic techniques to improve crops over the recent decades. Through the use of transgenics, one can produce plants with desired traits and even increased yields. The transgenics would allow for more crops that last longer and withstand pests and diseases. Transgenic plant production will allow us to feed the growing population and to produce more desirable products. The future of GM crops remains a vital debate, as its applications have several advantages and disadvantages. © 2013 JPR Solutions. Published by Reed Elsevier India Pvt. Ltd.
Maralla S.,Sri Padmavathi Mahila Visvavidyalayam |
Sathyavelu Reddy K.,Sri Venkateswara University
International Journal of Pharmacy and Technology | Year: 2013
This study investigate the possible antioxidant properties of ginger in preventing damages to the liver and kidney of albino rats. To investigate this, 20% ethanol was injected into rats in order to induce liver and kidney damage. The rats were simultaneously given oral dose (200mg/kg body weight) of aqueous extract of ginger. The effects of these treatments on some liver and kidney enzymes were evaluated. Administration of ethanol alone to rats significantly (P< 0.05) reduced the activities of liver ALT and AST by 71% and 60% respectively. The values for kidney AST and ALT are 47% and 80% respectively. Significant reversal in the activity of the enzymes under study is found by withdrawal from ethanol (P< 0.05). Simultaneous treatment of ethanol injection with oral administration of 200mg/kg of the aqueous extract significantly reversed (P<0.05) these changes in both the liver and kidney. The activities of liver and kidney GGT were considerably reduced by ethanol administration and were found to be reversed by the plant extract. The activity of XOD and ALP were also found to be significantly different (P< 0.05) in the ethanol group compared to control, withdrawal and extract treated groups. The present findings suggest that the extract may probably possess components that are hepatoprotective and anti- nephrotoxic.
Gaffar H.A.,Vellore Institute of Technology |
Krishna P.V.,Sri Padmavathi Mahila Visvavidyalayam
International Journal of Internet Protocol Technology | Year: 2016
Underwater acoustic sensor networks (UASN) is different from terrestrial sensor networks. Designing medium access control (MAC) protocols are challenging task in UASN. In this paper, we proposed a new MAC protocol for underwater communication which is called as underwater virtual backoff algorithm-based medium access control (UVMAC). This UVMAC approach is based on virtual backoff algorithm (VBA). The UVMAC is an enhancement of the VBA method that avoids collision during medium access in wireless networks. UVMAC reduces the number of collisions and increases the throughput of the network. In UVMAC, the sensor nodes are limited to access the channel in terms of sequence number. The simulation results show that the proposed UVMAC are performed well compared to reservation medium access control (RMAC) and broadcast MAC for UASN. Copyright © 2016 Inderscience Enterprises Ltd.
Supraja P.,Sri Padmavathi Mahila Visvavidyalayam |
Usha R.,Sri Padmavathi Mahila Visvavidyalayam
International Journal of Pharma and Bio Sciences | Year: 2013
Momordica charantia is a well known plant in Asia including India which posses wide range of pharmacological activities. These drugs have been used in India as folk remedy in the form of decoctions and infusions to treat bacterial infections and also claimed to be an effective against variety of skin conditions like psoriasis, acne, wounds etc. The present investigation is carried outto study the antibacterial activity and the presence of various phytochemicals of different parts of Momordica charantia extracts with different solvents on three microorganisms by disk diffusion method. Methanolic, ethanolic, hexane and aqueous extract of leaves, and fruits of the plant were evaluated for antibacterial activity using the disk diffusion method on three microorganisms (Bacillus subtilus, Escherichia coli, and Salmonella typhi). Zone of inhibition was calculated. Resultsindicate that the different concentrations of various extracts under study exhibit antibacterial activity and among the various extracts, fruit extracts have shown better activity as compared to leaf parts of extracts. Among the various extracts, methanol extracts have shown better antibacterial activity.
Rukmini K.,Sri Padmavathi Mahila Visvavidyalayam |
Suvarnalatha Devi P.,Sri Padmavathi Mahila Visvavidyalayam |
Kumari Chitturi C.H.M.,Sri Padmavathi Mahila Visvavidyalayam
International Journal of Pharma and Bio Sciences | Year: 2015
The present paper reveals the phytochemical screening and GC-MS analysis of Hemionitis arifolia. Phytochemical studies showed the presence of alkaloids, flavonoids, phenols, tannins and saponins in higher to moderate concentrations and percentage of alkaloid 0.28 %, flavonoid 0.32 %, tannins 0.26% and saponins 0.52%. Butanol extract of the plant was analysed using Gas Chromatography- Mass Spectrometry, while the mass spectra of the compounds found in the extract was matched with the National institute of standards and technologies (NIST) library. Gas chromatography mass spectrometry (GC-MS) analysis revealed the presence of six compounds. The phytoconstituents screened were Mesityl oxide, 2-pentanone, Benzene, Neophytadiene, 2-Hexadecen-1,ol, n-Hexadecanoic acid, Phytol, oleic acid, stearic acid, Stigmast-4-en-3-one. The ten compounds were identified by comparing their retention time and peak area with that of literature and by interpretation of mass spectra. This study scientifically validates the use of plant and further research leading to possible drug development.
Jyothi S.,Sri Padmavathi Mahila Visvavidyalayam |
Vanisree K.,SITAMS Engineering College
Proceedings - 2016 2nd International Conference on Computational Intelligence and Communication Technology, CICT 2016 | Year: 2016
Artificial Neural Network is an information processing paradigm that is inspired by the biological nervous system. Decision Support System (DSS) has been identified as one of the important solution providers in the emerging field of Artificial Neural Networks. Medical Decision Support System (MDSS) is an interactive Decision Support System software, which is designed to assist physicians and other health professionals in decision making tasks and to diagnose the patient disease. The Medical Decision Support System reduces the diagnosis time and improves the accuracy of the diagnosis. One of the clinical tests performed to diagnose Congenital Heart Septum Defect is the Chest Radiography (X-Ray) through the contour of size, position and shape of the heart. In order to diagnose Congenital Heart Septum Defect, a physician analyzes the chest X-ray and extracts the features like heart size measurements. But manual extraction of features and diagnosis is a difficult task for a physician. Therefore, in the present study, an algorithm is developed to automatically analyze and to extract the features from Chest X-ray using Image Processing Techniques. Also, a Decision Support System is developed to Diagnose the Congenital Heart Septum Defect based on chest X-ray features using Backpropagation Neural Network model. The Network is trained by using a Delta Learning Rule. The proposed feature extraction algorithm and Decision Support System are implemented in MATLAB with GUI features. © 2016 IEEE.