Research Publications
Browse peer-reviewed journal articles, conference papers, and scholarly publications. Use the filters below to refine results by type, author, year, or research area.
1.
Rathish, C. R.; Dennis, Aaron; Arjun, S.; Vanka, N. S.; Mohan, A. R.; Madhukumar, A.
A study on AI tools that can generate software source code Book Chapter
In: pp. 117-132,, IGI Global, 2025, ISBN: 979-836939358-1 (ISBN); 979-836939356-7 (ISBN), (0).
@inbook{467,
title = {A study on AI tools that can generate software source code},
author = {C. R. Rathish and Aaron Dennis and S. Arjun and N. S. Vanka and A. R. Mohan and A. Madhukumar},
url = {https://www.igi-global.com/gateway/chapter/378774},
doi = {10.4018/979-8-3693-9356-7.ch005},
isbn = {979-836939358-1 (ISBN); 979-836939356-7 (ISBN)},
year = {2025},
date = {2025-01-01},
journal = {Artificial Intelligence for Cloud-Native Software Engineering},
pages = {117-132,},
publisher = {IGI Global},
abstract = {AI is revolutionizing software development with tools that automate tasks like code suggestions, completions, and full code generation based on minimal input. Advanced machine learning models, such as Transformers, power tools like GitHub Copilot and TabNine, enhancing productivity and reducing coding errors. These tools use vast code repositories and natural language processing to help developers focus on complex problem-solving. However, AI-generated code presents challenges, including concerns over code quality, maintainability, and security. Ethical issues, like ownership, plagiarism, and biases in training data, also arise. Despite these hurdles, AI is set to play a crucial role in software engineering, pushing research toward improving scalability, ethical guidelines, and model generalization. As AI continues to evolve, it is expected to become a key component in future software development tools, transforming how developers work and optimize code. Its growing influence will shape the next generation of programming.},
note = {0},
keywords = {CE},
pubstate = {published},
tppubtype = {inbook}
}
AI is revolutionizing software development with tools that automate tasks like code suggestions, completions, and full code generation based on minimal input. Advanced machine learning models, such as Transformers, power tools like GitHub Copilot and TabNine, enhancing productivity and reducing coding errors. These tools use vast code repositories and natural language processing to help developers focus on complex problem-solving. However, AI-generated code presents challenges, including concerns over code quality, maintainability, and security. Ethical issues, like ownership, plagiarism, and biases in training data, also arise. Despite these hurdles, AI is set to play a crucial role in software engineering, pushing research toward improving scalability, ethical guidelines, and model generalization. As AI continues to evolve, it is expected to become a key component in future software development tools, transforming how developers work and optimize code. Its growing influence will shape the next generation of programming.
2.
Wollur, C.; Sowmya, H. N.; Reshma, E. K.; Shivananda, P.
Utilization of reservoir sediments for engineering applications Journal Article
In: Proceedings of Institution of Civil Engineers: Waste and Resource Management, 2024, ISBN: 17476526 (ISSN), (0).
@article{23,
title = {Utilization of reservoir sediments for engineering applications},
author = {C. Wollur and H. N. Sowmya and E. K. Reshma and P. Shivananda},
doi = {10.1680/jwarm.23.00013},
isbn = {17476526 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {Proceedings of Institution of Civil Engineers: Waste and Resource Management},
publisher = {ICE Publishing},
abstract = {In this paper, a detailed characterization of Tungabhadra (TB) Reservoir sediment such as physical, chemical, Geotechnical, morphological and mineralogical attribute is brought off for identifying the suitability of dredged sediment as engineering material. Characteristics of sediment is however compared with Indian Standard codes for specific engineering applications. Through this study it is depicted that, sediment obtained from TB dam reservoirs as such, cannot be used for engineering purpose (such as, as a fill material for highway construction, as sand for concreting and plastering and as foundry sand and other applications) these sediments need prior treatment before using them for above mentioned applications. However, it is also be noted that, to enhance the strength properties of sediment, Air-cooled blast-furnace slag (ABS) is used as a stabilizer. On the other hand, ABS is treated as waste material in steel industry. Thus, it is concluded from this study that, TB dam sediment can be used for many engineering applications provided proper screening and stabilization technic is adopted. Thereby, the cost of dredging is converted into profit by selling the TB dam sediments for engineering applications. © 2024 Emerald Publishing Limited: All rights reserved.},
note = {0},
keywords = {CE},
pubstate = {published},
tppubtype = {article}
}
In this paper, a detailed characterization of Tungabhadra (TB) Reservoir sediment such as physical, chemical, Geotechnical, morphological and mineralogical attribute is brought off for identifying the suitability of dredged sediment as engineering material. Characteristics of sediment is however compared with Indian Standard codes for specific engineering applications. Through this study it is depicted that, sediment obtained from TB dam reservoirs as such, cannot be used for engineering purpose (such as, as a fill material for highway construction, as sand for concreting and plastering and as foundry sand and other applications) these sediments need prior treatment before using them for above mentioned applications. However, it is also be noted that, to enhance the strength properties of sediment, Air-cooled blast-furnace slag (ABS) is used as a stabilizer. On the other hand, ABS is treated as waste material in steel industry. Thus, it is concluded from this study that, TB dam sediment can be used for many engineering applications provided proper screening and stabilization technic is adopted. Thereby, the cost of dredging is converted into profit by selling the TB dam sediments for engineering applications. © 2024 Emerald Publishing Limited: All rights reserved.
3.
Shankar, B. S.; Arcot, U.
An index based quality evaluation of groundwater—a case study of Whitefield area in Bangalore, India Journal Article
In: International Journal of Environmental Analytical Chemistry, vol. 103, pp. 9048-9061,, 2023, ISBN: 03067319 (ISSN), (0).
@article{146,
title = {An index based quality evaluation of groundwater—a case study of Whitefield area in Bangalore, India},
author = {B. S. Shankar and U. Arcot},
doi = {10.1080/03067319.2021.2002311},
isbn = {03067319 (ISSN)},
year = {2023},
date = {2023-01-01},
journal = {International Journal of Environmental Analytical Chemistry},
volume = {103},
pages = {9048-9061,},
publisher = {Taylor and Francis Ltd.},
abstract = {Conventional indices to describe the quality of water have been found to have several drawbacks. Hence, an attempt has been made to overcome these deficiencies by developing an improved system by incorporating a few modifications in the drinking water quality indices developed hitherto. Fifteen groundwater quality parameters were chosen for the study and categorised into four groups based on potability and hazard factor. These parameters were analysed for water samples drawn from 30 groundwater sources in the study area. A proposed drinking water quality index (PDWQI) was arrived at, and this was compared with the arithmetic and geometric indices as evaluated in this study, to depict its utility and adaptability. The results revealed that the geometric DWQI was higher than the arithmetic as well as proposed DWQI, while the geometric DWQI was lower than the proposed DWQI. All the indices had a high positive correlation (r = +0.99). The PDWQI clearly illustrated the degree of potability of groundwater for drinking purposes in regard of health threats, by indicating the degree of pollution caused by the various quality parameters. The comparison between the three indices clearly depicted that the PDWQI was the most reliable water quality indexing system, which enabled the reduction of issues of eclipsing as well as sensitivity, that is found to exist in conventional indexing systems. © 2021 Informa UK Limited, trading as Taylor & Francis Group.},
note = {0},
keywords = {CE},
pubstate = {published},
tppubtype = {article}
}
Conventional indices to describe the quality of water have been found to have several drawbacks. Hence, an attempt has been made to overcome these deficiencies by developing an improved system by incorporating a few modifications in the drinking water quality indices developed hitherto. Fifteen groundwater quality parameters were chosen for the study and categorised into four groups based on potability and hazard factor. These parameters were analysed for water samples drawn from 30 groundwater sources in the study area. A proposed drinking water quality index (PDWQI) was arrived at, and this was compared with the arithmetic and geometric indices as evaluated in this study, to depict its utility and adaptability. The results revealed that the geometric DWQI was higher than the arithmetic as well as proposed DWQI, while the geometric DWQI was lower than the proposed DWQI. All the indices had a high positive correlation (r = +0.99). The PDWQI clearly illustrated the degree of potability of groundwater for drinking purposes in regard of health threats, by indicating the degree of pollution caused by the various quality parameters. The comparison between the three indices clearly depicted that the PDWQI was the most reliable water quality indexing system, which enabled the reduction of issues of eclipsing as well as sensitivity, that is found to exist in conventional indexing systems. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
4.
Mohite, D. D.; Salimath, S. S.; Muthekar, V. V.
Kinetic Modeling of Continuous Stirred Tank Reactor - Operating on Distillery Effluent Journal Article
In: Indian Journal of Environmental Protection, vol. 42, pp. 685-693,, 2022, ISBN: 02537141 (ISSN), (0).
@article{177,
title = {Kinetic Modeling of Continuous Stirred Tank Reactor - Operating on Distillery Effluent},
author = {D. D. Mohite and S. S. Salimath and V. V. Muthekar},
isbn = {02537141 (ISSN)},
year = {2022},
date = {2022-01-01},
journal = {Indian Journal of Environmental Protection},
volume = {42},
pages = {685-693,},
publisher = {Kalpana Corporation},
abstract = {To identify the viability and performance, distillery effluent having very high organic content was studied on continuous stirred tank reactor (CSTR). Under different organic loading rates (OLR) and optimum conditions for highest chemical oxygen demand (COD) removal and biogas generation was found for OLR of 0.10-0.11 COD kg/day. Highest COD exertion efficiency was found to be around 73 % for OLR of 9.166 kg COD/m3/day when hydraulic retention time (HRT) was reduced from 15 to 14 days. Biogas generation was observed to be around 30 L/day with a conversion coefficient of 0.405 and volatile fatty acids (VFA) to alkalinity ratio was recorded to be 0.12 in this stage. Applying the modified Stover Kincannon model to the reactor, the maximum removal rate constant (Umax) and saturation value constant (Kb) were found to be 17.123 kg/m3/day and 33.471 kg/m3/day, respectively. These records are predominantly significant when operating the anaerobic biodigesters fortreating the distillery effluent alongwith the production of biogas as an energy source. CSTR can effectively be employed in treatment of this effluent, however, post bio-digestion effluent still contains considerable COD. To meet the pollution norms and standards it needs to be treated further. To understand the complex biological treatment process of this effluent further trials are required to be conducted. © 2022 Scientific Publishers. All rights reserved.},
note = {0},
keywords = {CE},
pubstate = {published},
tppubtype = {article}
}
To identify the viability and performance, distillery effluent having very high organic content was studied on continuous stirred tank reactor (CSTR). Under different organic loading rates (OLR) and optimum conditions for highest chemical oxygen demand (COD) removal and biogas generation was found for OLR of 0.10-0.11 COD kg/day. Highest COD exertion efficiency was found to be around 73 % for OLR of 9.166 kg COD/m3/day when hydraulic retention time (HRT) was reduced from 15 to 14 days. Biogas generation was observed to be around 30 L/day with a conversion coefficient of 0.405 and volatile fatty acids (VFA) to alkalinity ratio was recorded to be 0.12 in this stage. Applying the modified Stover Kincannon model to the reactor, the maximum removal rate constant (Umax) and saturation value constant (Kb) were found to be 17.123 kg/m3/day and 33.471 kg/m3/day, respectively. These records are predominantly significant when operating the anaerobic biodigesters fortreating the distillery effluent alongwith the production of biogas as an energy source. CSTR can effectively be employed in treatment of this effluent, however, post bio-digestion effluent still contains considerable COD. To meet the pollution norms and standards it needs to be treated further. To understand the complex biological treatment process of this effluent further trials are required to be conducted. © 2022 Scientific Publishers. All rights reserved.
