iversityAndhra Pradesh

India

iversityAndhra Pradesh

India
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Dodla V.B.R.,iversityAndhra Pradesh | Gubbala C.S.,iversityAndhra Pradesh | Desamsetti S.,iversityAndhra Pradesh
Aerosol and Air Quality Research | Year: 2017

Fine particulate matter (PM2.5) predominantly comprises sulphates and nitrates, which results from sulphur dioxide (SO2) and nitrogen oxide (NOx) gases that are emanated from excessive industrial activities and transport systems. PM2.5 is known to affect respiratory health in humans. Coal-fired thermal power plants are a major source of SO2 and NOx gases. Evaluation of the dispersion characteristics of these precursor gases from the power plants would help understand the vulnerability. Meteorological conditions that prevail over the region would influence the dispersion characteristics. In this study, dispersion of SO2 and NO from two major coal-fired thermal power plants in Andhra Pradesh, India have been studied using an integrated modeling approach of the Advanced Research Weather Research & Forecasting (ARW) model and Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. Meteorological conditions are obtained at 3-km resolution using the ARW model and dispersions of SO2 and NO is computed using the HYSPLIT model for the four seasons of winter, summer, monsoon and post-monsoon. Forward trajectories produced by the HYSPLIT model show diurnal variations and dispersion patterns show seasonal variations indicating the influence of meteorological conditions. Dispersion characteristics show high dispersion in winter due to calm and stable atmospheric conditions to insignificant in summer season due to stronger winds and higher atmospheric instability. The study establishes the usefulness of integrated meteorological and dispersion models for the evaluation of pollutant dispersion. © Taiwan Association for Aerosol Research.


Krishna B.C.,iversityAndhra Pradesh | Subrahmanyam K.,iversityAndhra Pradesh | Kim T.-H.,Dong - A University
International Journal of Bio-Science and Bio-Technology | Year: 2015

At Present times, A common person focus on their health issues not only for themselves but also for their family because health is a wealth. In the modern days most of the people are working and they spending 40% to 50% of the income on their health issues not only for themselves but also for their family. By this the rate of population arrival to the Hospitals are increasing day-by-day. So the hospitals have to be reliable towards the patients. The records of the patients and the medication details are to be maintained correctly. There may be many risks in the software that they use. So any health organizations are struggles to display the patient electronically measured health records and what they use medication outside. So every time common people are lose their health information. If the common people know the about their previous health records they reduce their money and take the first aid immediately. In this paper we suggest a new approach to risk assessment for health care systems. As risk assessment is a Qualitative approach, there are no exact techniques to solve such risks. Lack of risk assessment techniques leads to failure in the system and organization as the people don’t find interest to come if once the organization fails in any of the issues. Our new method mainly focuses on the risk management for health care organizations. Today’s health care industry faces a number of emerging risk issues related to health care reform, the shift from fee-for-services to outcomes-based compensation, the use of electronic medical records and the management of human capital. Therefore our method has put forth a Risk management technique for the Risk assessment. © 2015 SERSC.


Panda S.,CSIRInstitute of Minerals and Materials Technology | Mishra G.,CSIRInstitute of Minerals and Materials Technology | Sarangi C.K.,CSIRInstitute of Minerals and Materials Technology | Sanjay K.,CSIRInstitute of Minerals and Materials Technology | And 7 more authors.
Hydrometallurgy | Year: 2016

Two ore samples, one obtained from a partially leached heap with suspended operations for about four years and the other through sonic drilling of a discarded dump were tested for the amenability/feasibility of copper extraction through reactor and column leaching. Mineralogical analysis of the samples indicated the dominant sulphide minerals to be chalcopyrite and pyrite. Various process parameters such as the effect of acid concentration, time, oxidant, pulverization and temperature were studied for the reactor leaching experiments. A maximum of 91% Cu extraction can be achieved while leaching the pulverized sonic drilled sample at 90 °C for 3 h. On the other hand, column leaching studies at 1 kg scale showed 65–70% Cu extraction with an acid concentration of 2.7% (v/v) for both the samples. Sequential leaching of the chemically leached residues of both sonic drilled and heap leached pad sample yielded additional 13.2% and 22.2% Cu, respectively in 20 days of bacterial leaching using a mixed culture of meso-acidophilic bacterial consortium. Column leaching studies showed that the heap leached pad sample was more amenable to leaching than the sonic drilled one. Further, during the downstream processing of the leach liquors, the solvent extraction efficiency was about 95% and the Cu metal deposited by electrowinning was of 99.9% purity. A tentative process flowsheet for the recovery of copper was also prepared. © 2015 Elsevier B.V.


Venkateswarlu N.,iversityAndhra Pradesh | Naresh K.,iversityAndhra Pradesh | Kiran Babu B.,iversityAndhra Pradesh
International Journal of Applied Engineering Research | Year: 2014

This paper provides a comprehensive review of the maximum power point tracking (MPPT) techniques applied to photovoltaic (PV) power system available until January, 2012. A good number of publications report on different MPPT techniques for a PV system together with implementation.confusion lies while selecting a MPPT as every technique has its own merits and demerits. Hence, a proper review of these techniques is essential. Unfortunately, very few attempts have been made in this regard, excepting two latest reviews on MPPT. Since, MPPT is an essential part of a PV system, extensive research has been revealed in recent years in this field and many new techniques have been reported to the list since then. In this paper, a detailed description and then classification of the MPPT techniques have made based on features, such as number of control variables involved, types of control strategies employed, types of circuitry used suitably for PV system and practical/commercial applications. © Research India Publications.


Chaitanya Krishna B.,iversityAndhra Pradesh | Subrahmanyam K.,iversityAndhra Pradesh | Sai Ramya Y.,iversityAndhra Pradesh | Kumar Swamy G.,iversityAndhra Pradesh | And 2 more authors.
International Journal of Applied Engineering Research | Year: 2015

As the security is most concerned aspect in each and every health care organization, the record of the patients are kept highly confidential and is therefore maintained within the organization only. Because of this, if for any reason the patient desires to get treated in the other organization, then there will be a chance for the current doctor to get scarce of the patients previous details like what is the previous treatments he undertook and what are the medicines etc. There also will be a chance for the current doctor that he cannot be able to treat hierarchical diseases by not getting access to his/her ancestors immunity. So, in this paper we are proposing some new methodologies and concepts that will most be helpful in efficiently treating the patients, studying the diseases and thereby treating them. © Research India Publications.


Ramkiran D.S.,iversityandhra Pradesh | Madhav B.T.P.,iversityandhra Pradesh | Grandhi S.K.,iversityandhra Pradesh | Sumanth A.V.,iversityandhra Pradesh | And 2 more authors.
Far East Journal of Electronics and Communications | Year: 2015

This article investigates a compact defected ground structured band pass filter design and its analysis. The proposed band pass filter has a low insertion loss and return loss at the resonating frequencies and strongly opposing the unnecessary frequency bands. The simulated results obtained from the finite element method based HFSS tool and the overall performance characteristics with respect to reflection coefficient, transmission coefficient and current distributions are analyzed and presented in this work. The proposed filter is designed on FR4 substrate with dielectric constant 4.4 and thickness 1.6mm. © 2015 Pushpa Publishing House, Allahabad, India.


Siva Kumar P.,iversityAndhra Pradesh | Anand D.,iversityAndhra Pradesh | Uday Kumar V.,iversityAndhra Pradesh | Bhattacharyya D.,Bharati Vidyapeeth Deemed University
International Journal of Bio-Science and Bio-Technology | Year: 2016

In recent years improvement of new and effective medical domain applications has vital role in research. Computational Intelligence Systems (CIS) has profound influence in the enlargement of these effective medical field applications and tools. One of the prevalent diseases that world facing is heart disease. The Computational Intelligence Systems uses input clinical data from different knowledge resources throughout the world and applies this data on different computational intelligence tools that uses sophisticated algorithms. The sophisticated algorithms plays prominent role in the construction of medical clinical analysis tools. These tools may be used as an extra aid for the clinical diagnosis of the diseases for the doctors and clinicians. In this paper a novel method for the diagnosis of heart disease has been proposed using Genetic Algorithms. In this approach an effective association rules are inferred using Genetic Algorithm approach which uses tournament selection, crossover, mutation and new proposed fitness function. The Cleaveland data set is used for the experimentation. This data set is collected from the UCI machine learning repository experimental results are prominent when compared with some of the supervised learning techniques. © 2016 SERSC.

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