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Search Results: 1 - 10 of 656 matches for " Pullaiahgari Venkata Nagamani "
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Retrieval of Aerosol Optical Depth from Oceansat-2 OCM  [PDF]
Udaya Lakshmi Sriperambudur, Chandralingam Sonnati, Nagamani Pullaiahgari Venkata, Preethi Latha Thalathoti
Open Journal of Marine Science (OJMS) , 2015, DOI: 10.4236/ojms.2015.54035
Abstract: Aerosols are the tiny suspended particles in the atmosphere playing a major role in influencing the net radiation budget of the earth. The aerosols also affect cloud microphysics and those with land origin, possibly reduce the monsoon rainfall. Dynamic and diverse nature of the aerosols varies according to different locations. The aerosols originating due to desert dust, rural atmospheric situations, urban pollutants and marine areas have wide variations and display specific characteristics. Routine monitoring of aerosol events and their subsequent dispersal pattern are important in order to understand their role in climatic process. Hence, it is very important to study the aerosols and their retrieval strategy from the ocean colour remote sensing sensors. The satellite sensors provide platform for making observations covering large area as also their short-term and frequent repetivity. Ocean-colour sensors e.g. CZCS, SeaWiFS, MODIS, POLDAR, Oceansat-1& 2 OCM have been used to study aerosols, apart from being used to study ocean-colour. Most of the ocean-colour sensors are equipped with a few additional near infrared (NIR) bands (λ> 700 nm), which are helpful in providing vital information on atmospheric aerosols due to strong absorption by water in NIR wavelengths. The present work is an attempt to study the temporal and spatial variations of Aerosol Optical Depth (AOD) over the Bay of Bengal using Oceansat-2 Ocean Colour Monitor (OCM).
Importance of Aerosol Optical Depth in the Atmospheric Correction of Ocean Colour Remote Sensing Data  [PDF]
Sriperambudur Udaya Laxmi, Sonnati Chandralingam, Pullaiahgari Venkata Nagamani, Inaganti Veera Ganga Bhavani, Yerramsetti Umamaheswara Rao
Open Journal of Marine Science (OJMS) , 2017, DOI: 10.4236/ojms.2017.71008
Abstract: Atmospheric aerosols being an important component of the atmosphere play an important role in global and regional climate change. Aerosols can affect air quality, climate change and human health and have a significant effect on the solar energy budget. To study their quantitative effect is a challenging task due to their high spatial and temporal variability. This parameter represents one of the extinction coefficients of solar radiation and rate of suspended particles in the atmosphere. Ocean Colour Remote Sensing provides information about the four major geophysical parameters like chlorophyll and total suspended sediment concentration, vertical diffuse attenuation co-efficient and the aerosol optical thickness measured at 865 nm. Aerosol optical depth \"\" can be expressed as function of wavelength through Angstrom’s equation \"\"?, where “α” and “β” are known as Angstrom parameters. The Angstrom exponent, “α” is related to the size distribution of the aerosol particles and “β” represents the amount of aerosols present in the atmosphere. In this present study, an attempt is made to study the impact of these two parameters by changing values from 0 to 0.05 for “α” and from 0.0 to 0.6 for “β” in SeaDAS processing for estimating the aerosol optical depth. From this study, it is clear that for most of the applications either in the coastal or open ocean waters, alpha value varies from 0.0 to 0.3 over the north Indian Ocean. However, this has been further evaluated by various combinations for retrieving the AOD using OCM-2 data.
Ameloblastic fibro-odontoma of the anterior mandible in a 22-month-old boy
Wewel John,Narayana Nagamani
Indian Journal of Dental Research , 2010,
Abstract: We report an ameloblastic fibro-odontoma (AFO) presenting in the anterior mandible as a "bump on his gums" in a 22-month-old boy. An occlusal radiograph revealed a well-circumscribed radiolucency with scattered radiopaque foci. The tumor was enucleated under general anesthesia. The histologic findings were characteristic of an AFO, a mixed odontogenic tumor most common in the posterior jaws, primarily affecting individuals with an average age of 10 years. The clinical presentation, microscopic findings, differential diagnoses, and treatment are discussed.
Analysis Of Spiht Algorithm For Satellite Image Compression
K Nagamani,AG Ananth
Advanced Computing : an International Journal , 2011,
Abstract: Wavelets offer an elegant technique for representing the levels of details present in an image. When an image is decomposed using wavelets, the high pass component carry less information, and vice-versa. The possibility of elimination of the high pass components gives higher compression ratio in the case of wavelet based image compression. To achieve higher compression ratio, various coding schemes have been used. Some of the well known coding algorithms are EZW (Embedded Zero-tree Wavelet), SPIHT (Set Partitioning in Hierarchical Tree) and EBCOT (Embedded Block Coding with Optimal Truncation). SPIHT has been one of the popular schemes used for image compression. In this paper the performance of the SPIHT (Set Partitioning in Hierarchical Trees) compression technique for satellite images are studied. The satellite rural and urban images have been used for the present analysis. The standard Lena image is used for the purpose of comparison. For a given compression ratio, the PSNR (peak signal to noise ratio) values are computed to evaluate the quality of the reconstructed image. The analysis carried out clearly suggests that the PSNR values increases with the level of decomposition. For the satellite images the PSNR values achievable are less compared to that of Standard Lena Image and the SPIHT Algorithm are better suited for compression of Satellite urban Images.
A Theoretical Investigation of Efficiency Enhancement in Thermal Power Plants  [PDF]
Venkata Seshendra Kumar Karri
Modern Mechanical Engineering (MME) , 2012, DOI: 10.4236/mme.2012.23013
Abstract: The need to operate a boiler efficiently in today’s environment is at the top of many plant owners and operators lists. Unfortunately, operating a boiler efficiently and meeting local emission regulations do not always go hand in hand. However, advances in boiler system design and technology have made this a much more achievable task. The potential for energy improvements and cost savings is substantial when considered that most boilers operating today are performing at efficiencies that are less than 70 percent. The performance calculation and rectification measures are essential for performance evaluation and efficiency enhancement. Since the efficiency decreases from time to time it is required to find out the losses occurring in boiler using proper methodology. The environmental issues and economy are the secondary factors to be considered after finding the losses. Due to increase in fuel price and demand in more energy requirement in everyday life, proper utilization of materials and resources are necessary. This present deals with the aim of estimating the heat losses occurring in thermal power plant boilers and hence finding suitable ways for reducing it, hence allowing plants to achieve more performance, sustainability and cost-effective maintenance operation of a steam system.
Isolation and Structural Characterization of a New Minor Penta β-D-Glucopyranosyl Diterpene from Stevia rebaudiana Bertoni  [PDF]
Venkata Sai Prakash Chaturvedula
American Journal of Plant Sciences (AJPS) , 2014, DOI: 10.4236/ajps.2014.524368
Abstract: From the commercial extract of the leaves of Stevia rebaudiana Bertoni, a new minor ent-kaurane diterpene glycoside having five β-D-glucopyranosyl units has been isolated. The chemical structure of the new compound was characterized as 13-[(2-O-β-D-glucopyranosyl-β-D-glucopyranosyl)oxy] ent-kaur-16-en-19-oic acid-(2-O-β-D-glucopyranosyl-6-O-β-D-glucopyranosyl-β-D-glucopyranosyl) ester (1) on the basis of extensive 1D (
Generalized Fuzzy Data Mining for Incomplete Information  [PDF]
Poli Venkata Subba Reddy
Journal of Software Engineering and Applications (JSEA) , 2018, DOI: 10.4236/jsea.2018.116018
Abstract: Defining data with fuzziness made the knowledge discovery process easy and secure to data in data mining. The fuzzy data bases may have linguistic variables. In this paper, fuzzy conditional inference and reasoning are studied for generalized fuzzy data mining. Generalized fuzzy data mining and reasoning is studied with two membership functions “Belief” and “Disbelief”. The fuzzy logic with two membership functions will give more evidence than single membership function. The fuzzy certainty factor is studied as difference between these functions and made it as single membership function. The fuzzy data mining methods are studied. The generalized data mining is studied with different fuzzy conditional inferences. The business intelligence is given as an example.
Cryptosporidiosis in a tertiary care hospital in Andhra Pradesh
Nagamani K,Rajkumari A,Gyaneshwari
Indian Journal of Medical Microbiology , 2001,
Abstract: Enteric protozoal parasitic infection has become an important cause of morbidity in children and adults. In the developing countries the association of Cryptosporidium with acute and persistent diarrhoea has been striking. Stool samples from 1002 patients (800 adults and 202 children) suffering from diarrhoea or other gastrointestinal symptoms were examined for the presence of Cryptosporidium parvum oocysts by modified Ziehl Neelsen stained smears. C. parvum was detected in 2.99% of children and 0.12% adults. Other parasites detected were E. histolytica (6.18%), G. lamblia (1.49%), A. lumbricoides (1.49%), hookworm (1.39%), Strongyloides stercoralis (0.39%), and Taenia (0.09%).
Multicast Security Attacks and Its Counter Measures for Puma Protocol
A. Amuthan,D. Nagamani Abirami
International Journal of Computer Technology and Applications , 2011,
Abstract: A Mobile Ad hoc NETwork (MANETs) is a continuously changing wireless network that can be created without any pre-existing infrastructure in which each node can operate as a router. MANETs has no clear line of control, so it is accessible to both legitimate network users and malicious attackers. The main challenge in MANETs is to design a secure solution which can protect the MANET from various kinds of security attacks.In this paper, we put a first step towards securing multicast routing protocol for ad hoc network. Specifically we examine the vulnerabilities of PUMA (Protocol for Unified Multicasting through Announcements) which is a representative of mesh based routing protocol. In this proposed work, we have presented a trust based approach where in which the secure route is selected for the receivers not only based on current trust values of its neighbor nodes but also its past experience is considered for blackhole and wormhole attack
Evaluation of SPIHT Compression Scheme for Satellite Imageries Based on Statistical Parameters
Nagamani .K,A G Ananth
International Journal of Soft Computing & Engineering , 2012,
Abstract: Non reversible and lossy image compression techniques is known to be computationally more complex as they grow more efficient, confirming the constraints of source coding theorems in information theory that a code for a (stationary) source approaches optimality the limit of infinite computation (source length). It has been observed that when a variety of images of different types are compressed using a fixed wavelet filter, the peak signal to noise ratios (PSNR) vary widely from image to image. This variation in PSNR can be attributed to the nature and inherent statistical characteristics of image. To explore the effect of various image features on the coding performance, a set of gray level image statistics have been analyzed by using SPIHT (Set Partitioning In Hierarchical Trees) algorithm. The Mean Square Error (MSE) and Peak Signal to Noise Ratios (PSNR) determined for an image depends on the statistical properties of the image and the compression scheme applied. The efficiency of the compression scheme can be evaluated by examining the statistical parameters of the image. In this paper various statistical parameters associated with the SPIHT compression scheme are derived for three different types of images namely standard Lena, satellite urban and rural imageries based on higher order statistics. The statistical parameters include higher order image statistics like Rate Distortion and Skewness and Kurtosis which describe the shape and symmetry of the image. The statistical parameters derived for a fixed rate and fixed level of decomposition for three types of images have been are used for the explanation of the Compression Ratio and Peak Signal to Noise Ratio (PSNR) achieved for the satellite imageries. The results show that urban images are better suited for SPIHT compression scheme compared to that of satellite rural image. The results of the analysis are presented in the paper.
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