Papers by Dr. Srinivasa Rao Bandaru
Lecture notes on data engineering and communications technologies, 2023
2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC)
2022 3rd International Conference for Emerging Technology (INCET)
This is to certify that the work in the thesis entitled Resource Allocation in Physically Distrib... more This is to certify that the work in the thesis entitled Resource Allocation in Physically Distributed System using Non-Cooperative Game Theory by Bandaru Sreenivasa Rao is a record of an original work carried out by him under my supervision and guidance in partial fulfillment of the requirements for the award of the degree of Master of Technology in Computer Science and Engineering. Neither this thesis nor any part of it has been submitted for any degree or academic award elsewhere.
CYTOLOGIA, 2005
The present investigation deals with the effects of 3 synthetic pyrethroid insecticides viz., Cyp... more The present investigation deals with the effects of 3 synthetic pyrethroid insecticides viz., Cypermethrin, Alphamethrin and Fenvalerate on the mitotic activity and mitotic chromosomes in the root meristems of Allium cepa. Root meristems were exposed to 4 different concentrations of each test compound for 1 h pulse treatment and allowed to different recovery periods. Cytological analyses revealed that the test compounds elicited varying degrees of cytotoxic, turbagenic (toxicity to spindle) and clastogenic effects. In the ultimate analysis, Cypermethrin and Alphamethrin have more turbagenic and weak clastogenic activity whereas Fenvalerate has relatively strong clastogenic activity in vitro.
European Journal of Medicinal Chemistry, 2014
A novel and potent series of ene-amides featuring azetidines has been developed as FabI inhibitor... more A novel and potent series of ene-amides featuring azetidines has been developed as FabI inhibitors active against drug resistant Gram-positive pathogens particularly staphylococcal organisms. Most of the compounds from the series possessed excellent biochemical inhibition of Staphylococcus aureus FabI enzyme and whole cell activity against clinically relevant MRSA, MSSA and MRSE organisms which are responsible for significant morbidity and mortality in community as well as hospital settings. The binding mode of one of the leads, AEA16, in Escherichia coli FabI enzyme was determined unambiguously using X-ray crystallography. The lead compounds displayed good metabolic stability in mice liver microsomes and pharmacokinetic profile in mice. The in vivo efficacy of lead AEA16 has been demonstrated in a lethal murine systemic infection model.
PLoS ONE, 2009
Background: Leprosy was eliminated as a public health problem (,1 case per 10,000) in India by De... more Background: Leprosy was eliminated as a public health problem (,1 case per 10,000) in India by December 2005. With this target in sight the need for a separate vertical programme was diminished. The second phase of the National Leprosy Eradication Programme was therefore initiated: decentralisation of the vertical programme, integration of leprosy services into the primary health care (PHC) system and development of a surveillance system to monitor programme performance. Methodology/Principal Findings: To study the process of integration a qualitative analysis of issues and perceptions of patients and providers, and a review of leprosy records and registers to evaluate programme performance was carried out in the state of Orissa, India. Program performance indicators such as a low mean defaulter rate of 3.83% and a lowmisdiagnosis rate of 4.45% demonstrated no detrimental effect of integration on program success. PHC staff were generally found to be highly knowledgeable of diagnosis and management of leprosy cases due to frequent training and a support network of leprosy experts. However in urban hospitals district-level leprosy experts had assumed leprosy activities. The aim was to aid busy PHC staff but it also compromised their leprosy knowledge and management capacity. Inadequate monitoring of a policy of 'new case validation,' in which MDT was not initiated until primary diagnosis had been verified by a leprosy expert, may have led to approximately 26% of suspect cases awaiting confirmation of diagnosis 1-8 months after their initial PHC visit. Conclusions/Significance: This study highlights the need for effective monitoring and evaluation of the integration process. Inadequate monitoring could lead to a reduction in early diagnosis, a delay in initiation of MDT and an increase in disability rates. This in turn could reverse some of the programme's achievements. These findings may help Andhra Pradesh and other states in India to improve their integration process and may also have implications for other disease elimination programmes such as polio and guinea worm (dracunculiasis) as they move closer to their elimination goals.
Experimental Thermal and Fluid Science, 1993
E-Journal of Chemistry, 2010
A novel approach was carried out to develop and validate a rapid, specific, accurate and precise ... more A novel approach was carried out to develop and validate a rapid, specific, accurate and precise reverse phase ultra performance liquid chromatographic (UPLC) method for the simultaneous separation and quantification of secnidazole, fluconazole and azithromycin in pharmaceutical dosage forms. The developed analytical method is superior in technology to conventional HPLC with respect to time, resolution, solvent consumption and cost of analysis. Elution time for the separation was 10 min and ultra violet detection was carried out at 210 nm. Efficient separation was achieved on BEH C18 sub-2-μm UPLC column using 0.002 M Na2HPO4and acetonitrile as organic solvent in a gradient program. Benzophenone was used as internal standard. Resolutions between secnidazole, fluconazole and azithromycin were found to be more than 4.8. The calibration graphs were linear for secnidazole, fluconazole, benzophenone and azithromycin. The method showed excellent recoveries for all dosage forms. The test s...
International Journal of Trade Global Business Perspectives, Jul 4, 2013
In transportation service, Railways play vital role for customers to reach their destinations wit... more In transportation service, Railways play vital role for customers to reach their destinations with comfort and Economy in India. Railways as a Public sector, operating in a monopoly competition, will it be same like other service firms operating in competitive markets in terms of complaint behaviour. This paper focus on investigating the complaint behaviour of customers in South Central Railway, Vijayawada, Andhra Pradesh.120 samples were selected from different stations in and around Vijayawada for data collection. Data was collected and analyzed through a standardized questionnaire which was tested in terms of reliability and validity by experts. T-test, Descriptive statistics were used and found that most of the respondents are complaining to the service providers at the instance when customers are dissatisfied with the service, but it was found that less were exiting from services given by SCR. At last, the study consists of implications and future scope for researchers. Keyword...
International Journal of Advanced Computer Science and Applications, 2012
The education system in rural and semi-rural areas of developing and underdeveloped countries are... more The education system in rural and semi-rural areas of developing and underdeveloped countries are facing many challenges. The limited accessibility and challenges to the education are attributed mainly to political, economic and social issues of these underdeveloped countries. We propose a "Feasible Rural Education System (FRES)" based on Ontology and supported by Cloud to enhance the accessibility to education in rural areas. The system has been proposed incorporating the FOSS approach.
2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2021
Abstract—Primates are very significant in various
environment functions as well as in human evol... more Abstract—Primates are very significant in various
environment functions as well as in human evolution, cultures,
and many religions in society. Out of more than 500 primate
species over 60% of primate species are extinct because of
various reasons such as hunting, habitat loss human activities,
etc. It is our responsibility to safeguard the primate breeds
once again introducing primates into their natural
surroundings. In this paper, a deep Convolutional Neural
Network was trained to classify various primate breeds and
predict the breed of a particular test image. 10 monkey species
dataset from the Kaggle data science community was used.
This dataset consists of 10 breeds of primates labeled n0 to n9.
The model was trained with different epochs, works with an
accuracy of 0.8050 on the training set and 0.7353 on the
validation set with epochs 20. The trained model predicted the
primate breeds accurately. These predictions are very helpful
in identifying various primate breeds and protecting and
safeguarding those breeds from extinction. In future this
research can be extended to automate the process for
identifying the primate breeds by embedding the process into
IoT.
Keywords—Convolution Neural Network, Deep Learning,
Primate Classification, Animal Breeds, Extinction of Animal
Species.
A leader’s quintessential responsibility is to influence the key people to think and act in ways ... more A leader’s quintessential responsibility is to influence the key people to think and act in ways that benefit his organization in an ethical and socially responsible manner. A starting point in choosing influence tactics to help managers lead others is to select those that fit his ethical code. Leadership is intrinsically an influence process. Another major consideration is to choose the correct combination of influence tactics. To become an effective leader, a person must be aware of the specific tactics leaders use to influence others. This Paper presents a description and explanation of influence tactics, both ethical and less ethical, and a summary of research about the relative effectiveness and sequencing of influence tactics. Influence tactics are often viewed from an ethical perspective and can be classified into those that are essentially ethical and honest versus those that are essentially manipulative and dishonest. Leaders have to develop guidelines, or ethical screens, ...
2828 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number A14... more 2828 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number A1451058119/19©BEIESP ABSTRACT--Mutual fund sectors in India are growing due to risk aversion attitude of investors and dynamism in market. Investors’ preference on investment in mutual fund sectors and schemes, as a single study, is an unexplored area. The aim of study is to examine the impact of demographic factors on sectors and schemes of mutual fund with special focus on the emerging capital region of Andhra Pradesh. The study is qualitative but descriptive in nature. Primary data collected using wellstructured questionnaire and secondary data from existing print and digital resources. The collected data analysed using descriptive statistics like chi square tool. Except Age, and Gender all other factors are significant in terms of preference of mutual fund sectors by investors and in terms preference of mutual fund schemes all factors are significantly affecting investors. This study h...
Journal of critical reviews
In the last decade, Direct-to-Home (DTH) services have acquired a central role in the Indian TV b... more In the last decade, Direct-to-Home (DTH) services have acquired a central role in the Indian TV broadcasting industry. Dissatisfaction in the customers is raising with intense competition between the service providers in DTH market. In this scenario, the firms should react to it positively to attain benefits in terms of retention of customers. This study concentrates on examining the influence of factors likely psychographic, and attitude towards business on complaint behaviour and investigating the differences in influence of two factors on first time customers and loyal customers in DTH services. A structured questionnaire was used to collect data from 400 respondents using systematic sampling tool in Vijayawada & Guntur regions, Andhra Pradesh, India. Frequencies, multiple regression and Mann Whitney U test were used to analyse data and resulted that two factors namely psychographic, and attitude towards business are positively influencing complaint behaviour and specifying that there is difference in first time customers and loyal customers with factors influencing. The paper consists of conclusion and future scope for research.
ADVANCES IN MODELLING AND ANALYSIS B
In modern system e-commerce is developing in fast and it makes the availability of resources and ... more In modern system e-commerce is developing in fast and it makes the availability of resources and services on the internet colorful. In today's e-commerce world day by day the data is increasing tremendously and this data should be used effectively. Data mining techniques produce useful knowledge for decision makers from high dimensional databases. Association rule mining is a used in e-commerce data analysis to realize cross selling and patterns generated can be used as recommendation system. Numerous models have been studied in both frequent as well as infrequent pattern mining in marketing applications which have some unsolved issues yet. A novel weighted based frequent and infrequent pattern mining model for real time e-commerce databases is proposed to find weighted based frequent and infrequent patterns from large data bases. Here weighted infrequent ranking measure is used to filter the infrequent product from the frequent associations. In this model a real-time e-commerce application is designed for pattern extraction process. This model is implemented in Java on real time e-commerce database (flip cart database). This model generates weighted based frequent and infrequent patterns based on user selected feature product in e-commerce database. This model is also implemented on distributed market database (training database), cloud database and medical database.
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
Banking is a dynamic sector and, as such, high-quality client service is invaluable for clients t... more Banking is a dynamic sector and, as such, high-quality client service is invaluable for clients to grow and retain.The purpose of the study is to examine the differences in complaint behaviour in context of service recovery failure (Double Deviation) and its effect on complaint behaviour. 114 respondents of sample were selected by random sampling technique to obtain responses in form of well designed questionnaire.Results revealed that new customers are involving more in private actions and defection than the loyal customers in context of double deviation and all the three dimensions magnitude of service failure, recovery strategies, and satisfaction with service recovery have an effect on complaint behaviour. Further this paper consists of implications and future scope for researchers.
International Journal of Retailing Rural Business Perspectives, Feb 8, 2012
International Journal of Entrepreneurship Business Environment Perspectives, Jan 8, 2012
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Papers by Dr. Srinivasa Rao Bandaru
environment functions as well as in human evolution, cultures,
and many religions in society. Out of more than 500 primate
species over 60% of primate species are extinct because of
various reasons such as hunting, habitat loss human activities,
etc. It is our responsibility to safeguard the primate breeds
once again introducing primates into their natural
surroundings. In this paper, a deep Convolutional Neural
Network was trained to classify various primate breeds and
predict the breed of a particular test image. 10 monkey species
dataset from the Kaggle data science community was used.
This dataset consists of 10 breeds of primates labeled n0 to n9.
The model was trained with different epochs, works with an
accuracy of 0.8050 on the training set and 0.7353 on the
validation set with epochs 20. The trained model predicted the
primate breeds accurately. These predictions are very helpful
in identifying various primate breeds and protecting and
safeguarding those breeds from extinction. In future this
research can be extended to automate the process for
identifying the primate breeds by embedding the process into
IoT.
Keywords—Convolution Neural Network, Deep Learning,
Primate Classification, Animal Breeds, Extinction of Animal
Species.
environment functions as well as in human evolution, cultures,
and many religions in society. Out of more than 500 primate
species over 60% of primate species are extinct because of
various reasons such as hunting, habitat loss human activities,
etc. It is our responsibility to safeguard the primate breeds
once again introducing primates into their natural
surroundings. In this paper, a deep Convolutional Neural
Network was trained to classify various primate breeds and
predict the breed of a particular test image. 10 monkey species
dataset from the Kaggle data science community was used.
This dataset consists of 10 breeds of primates labeled n0 to n9.
The model was trained with different epochs, works with an
accuracy of 0.8050 on the training set and 0.7353 on the
validation set with epochs 20. The trained model predicted the
primate breeds accurately. These predictions are very helpful
in identifying various primate breeds and protecting and
safeguarding those breeds from extinction. In future this
research can be extended to automate the process for
identifying the primate breeds by embedding the process into
IoT.
Keywords—Convolution Neural Network, Deep Learning,
Primate Classification, Animal Breeds, Extinction of Animal
Species.