Browsing by Author "Nayak, S.S."

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A chicken egg white-based amyloid–graphitic carbon nitride composite-incorporated hollow fiber membrane for efficient removal of dyes and heavy metal ions present in water
(Royal Society of Chemistry, 2025) Nayak, S.S.; Isloor, A.M.; A.F., A.F.
Severe water pollution due to excessive industrialization is resulting in a pure water crisis for humans and other living beings. This growing crisis emphasizes the urgent need for advanced and efficient water purification technologies to mitigate pollution and ensure the availability of pure water. To address this issue, the current study focuses on the synthesis of a chicken egg white amyloid–graphitic carbon nitride composite (AM–CN) using graphitic carbon nitride (g-C3N4) and egg whites through environment friendly and simple techniques. These composites were further characterized using different analytical techniques such as BET, FTIR, XRD, SEM, and TEM to understand the structure of the composite. Furthermore, these composites were embedded into hollow fiber membranes, and later, these membranes were analyzed through AFM, SEM, and hydrophilicity studies to understand the character and structure of the membrane. The filtration performance of the membrane revealed that the membrane with the AM–CN composite demonstrated enhanced performance in both pure water permeability and pollutant removal capacity. Among the fabricated membranes, the neat membrane exhibited a pure water permeability of 81 L m?2 h?1 bar?1. In contrast, the highest permeability of 203 L m?2 h?1 bar?1 was exhibited by the M II membrane, therefore considering it as an optimized membrane. This optimized membrane also displayed the highest pollutant removal capacity of >99% for Congo red dye, >98% for Reactive black 5 and 88% for Reactive orange 16 dye. In the case of heavy metal ion removal, the same membrane displayed an impressive 99% removal of lead ions and 75% removal of mercury ions in the presence of humic acid. © 2025 The Royal Society of Chemistry.
A mobile application for Women's Safety: WoSApp
(Institute of Electrical and Electronics Engineers Inc., 2016) Chand, D.; Nayak, S.S.; Bhat, K.S.; Parikh, S.; Singh, Y.; Kamath, A.A.
The safety of women is a concern of increasing urgency in India and other countries. The primary issue in the handling of these cases by the police lies in constraints preventing them from responding quickly to calls of distress. These constraints include not knowing the location of the crime, and not knowing the crime is occurring at all: at the victim's end, reaching the police assuredly and discreetly is a challenge. To aid in the removal of these constraints, this paper introduces a mobile application called WoSApp (Women's Safety App) that provides women with a reliable way to place an emergency call to the police. The user can easily and discreetly trigger the calling function by shaking her phone, or by explicitly interacting with the user interface of the application via a simple press of a PANIC button on the screen. A message containing the geographical location of the user, as well as contact details of a pre-selected list of emergency contacts, is immediately sent to the police. This paper describes the application, its development, and its technical implementation. Â© 2015 IEEE.
Engineering hollow fiber membranes with poly-m-aminophenol functionalized graphitic carbon nitride for efficient water purification
(Elsevier B.V., 2025) Nayak, S.S.; Isloor, A.M.; Todeti, S.R.; A.F., A.F.
Water pollution caused by industrialization poses a great threat to the living organisms mainly due to the release of dye wastewater and pollutants into the water bodies. Ingestion of such polluted water has detrimental effects on living organisms. To address the issue, the present study focuses on the synthesis of poly-m-aminophenol functionalized graphitic carbon nitride (FCNs) using inexpensive graphitic carbon nitride and m-aminophenol. The synthesized FCNs were characterized with FTIR, XPS, XRD, TGA, DTA, Zeta potential, Particle size, TEM and BET analysis. These FCNs were further incorporated into the hollow fiber membrane and subsequently analyzed using SEM, AFM, Zeta potential, Hydrophilicity, and performance studies. Among the fabricated membranes, the optimized CN-AP 50 membrane exhibited enhanced an average water permeability of 150 Lm-2 h?1 bar ?1 and a Flux recovery ratio of 49.9 % with 11.9 % of reversible fouling. Furthermore, the membrane also displayed excellent dye rejection capacity of >99 % for Congo red, >98 % for Reactive black 5, and 86 % for Reactive orange 16. Additionally, it showed impressive heavy metal ion removal capability of 99 % for lead ions and 60 % for mercury ions in the presence of humic acid. These enhanced rejection and water permeability are due to the various effects such as improved hydrophilicity, electrostatic interaction between functional groups, ?-? interaction with the dye molecules. These effects also modify the membrane morphology thereby enhancing size exclusion and adsorption capabilities. The present study discusses a strategy for incorporating poly-m-aminophenol functionalized graphitic carbon nitride as an additive in membrane fabrication. The functionalized material improves water permeability, antifouling performance, and membrane selectivity, thus offering a scalable route for advanced wastewater treatment technologies. © 2025
Exploring the biological activity and setting dynamics of a novel polydopamine-based root repair material
(Elsevier B.V., 2025) Rao, L.N.; Shetty, A.; Isloor, A.M.; Nayak, S.S.; Kumar, M.; Shetty K, J.; Venkatesh, M.
Background: Root perforation represents a significant complication in endodontics, compromising the structural integrity of the tooth. Effective repair are critical to mitigating the associated risks and preserving long-term dental function. Despite extensive research, the ideal repair material that fulfills all requisite biological and mechanical properties remains elusive. Methodology: This study introduces a novel polydopamine based repair material designed to address the limitations of existing materials. The material was characterized using field emission scanning electron microscopy, X-ray diffraction, Fourier-transform infrared spectroscopy, transmission electron microscopy, zeta potential, and particle size analysis. The material's initial and final setting times were evaluated using a Gilmore needle apparatus. Biocompatibility was assessed via the MTT assay, while bioactivity was quantified through calcium ion release analysis. Comparative evaluations were conducted against ProRoot MTA, a commercially available standard in root repair. Results: The findings revealed no statistically significant differences in cytotoxicity (P > 0.05) between the experimental material and ProRoot MTA, affirming the biocompatibility of both. However, the experimental material demonstrated a significantly faster set (P < 0.001) than ProRoot MTA, a critical advantage in clinical applications. the inclusion of calcium chloride and bioactive glass enhanced calcium ion release, with the experimental material showing significantly higher levels at 7 days. Conclusion: The polydopamine-bioactive glass composite exhibited favorable biological activity, superior setting dynamics, and enhanced bioactivity, positioning it as a promising candidate for perforation repair. These results lay the groundwork for further research and potential clinical translation, offering a viable solution to a longstanding challenge in endodontics. © 2025 The Authors
Improving false alarm rate in intrusion detection systems using Hadoop
(2016) Mukund, Y.R.; Nayak, S.S.; Chandrasekaran, K.
Intrusion Detection Systems are a vital part of an organization's security. This paper gives an account of the existing algorithms for Intrusion Detection using Machine Learning, along with certain new ideas for improving the same. The paper mainly talks about employing the Decision Tree mechanism for Intrusion Detection and improve it with the distributed file system, Hadoop. Initially a method that uses a dirty-flags to check the consistency of the Decision Tree, which changes with every wrong classification of the system is employed. The wrong classification is identified by a certain user who informs the system about the same and helps it learn. In the further sections, a new method which does not use a dirty-flag, but rather modifies the Key-Value pair in the results of the reduce() function is tested as an improvement to the previous method. The two methods are compared, with the help of the Hadoop Simulation Tool - YARN. The main aim of the paper is to propose the use of the Distributed File System for Machine Learning along with some improvements to the current Hadoop File System, so that it reduces the total Time Taken, when Machine Learning algorithms are employed along with it. � 2016 IEEE.
Improving false alarm rate in intrusion detection systems using Hadoop
(Institute of Electrical and Electronics Engineers Inc., 2016) Mukund, Y.R.; Nayak, S.S.; Chandrasekaran, K.
Intrusion Detection Systems are a vital part of an organization's security. This paper gives an account of the existing algorithms for Intrusion Detection using Machine Learning, along with certain new ideas for improving the same. The paper mainly talks about employing the Decision Tree mechanism for Intrusion Detection and improve it with the distributed file system, Hadoop. Initially a method that uses a dirty-flags to check the consistency of the Decision Tree, which changes with every wrong classification of the system is employed. The wrong classification is identified by a certain user who informs the system about the same and helps it learn. In the further sections, a new method which does not use a dirty-flag, but rather modifies the Key-Value pair in the results of the reduce() function is tested as an improvement to the previous method. The two methods are compared, with the help of the Hadoop Simulation Tool - YARN. The main aim of the paper is to propose the use of the Distributed File System for Machine Learning along with some improvements to the current Hadoop File System, so that it reduces the total Time Taken, when Machine Learning algorithms are employed along with it. Â© 2016 IEEE.
Polydopamine functionalized halloysite nanotubes incorporated polyethersulfone hollow fiber membranes for the removal of arsenic (as-v) from water
(Iranian Research Organization for Science and Technology, 2025) Mruthyunjaya, S.D.; Isloor, A.M.; Nayak, S.S.; Venkatesh, M.; Shetti, V.S.
Polyethersulfone (PES) based hollow fiber membranes containing polydopamine-functionalized halloysite nanotubes (FHNTs) were fabricated in different concentrations employing a dry-wet approach and using phase inversion methodology. Thus, the prepared nanocomposite hollow fiber membranes were characterized using FE-SEM (Field Emission Scanning Electron Microscopy), AFM (Atomic Force Microscopy), ATR-IR, Zeta Potential, and contact angle for studying membrane surface morphology, topography, presence of functional groups, surface charge, and hydrophilicity, respectively. Filtration studies such as pure water permeability, fouling resistance, and heavy metal rejection (arsenic) were performed at a 2 bar pressure. It was found that as the concentration of FHNTs increased in the membrane, the pure water flux also increased, indicating an increase in hydrophilicity. The membrane PPD-4, with the highest percentage of FHNTs, showed the maximum heavy metal removal. It was confirmed by the values of arsenic removal by the membranes containing FHNTs at 0 wt%, 0.2 wt%, 0.6 wt%, and 1 wt% that were found to be 24.80%, 33.18%, 35.54%, and 39.65%, respectively. © 2024 Advances in Environmental Technology (AET).
Synthesis, fabrication, and performance evaluation of lanthanum doped nickel cobalt ferrite electrode for supercapacitors in energy storage applications
(Elsevier Ltd, 2024) Nayak, S.; Nayak, S.S.; Kittur, A.A.; Nayak, S.; Joshi, D.R.
The escalating demand for high-quality energy storage devices has become a paramount concern in the contemporary scenario. Despite the potential of supercapacitors for high-quality energy storage, developing sustainable and improved electrode materials remains a challenge. This work investigates the synthesis and characterization of a novel optimally lanthanum-doped nickel cobalt ferrite, for its potential application in supercapacitors. The synthesized nano ferrite is utilized in a two-electrode system as a symmetrical supercapacitor device. The obtained morphological and electrochemical results of both two and three-electrode systems confirm their suitability for effective deployment in supercapacitor electrodes. A high specific capacitance of 706 F/g and energy density of 152.9 Wh/g is obtained for the fabricated device with a retention capacity of 86 % even after 10,000 cycles. The electrochemical results are also validated using an electrical method. The exploration of this lanthanum-doped nano ferrite is expected to be a suitable candidate for the fabrication of supercapacitor electrodes for augmented energy storage performance. © 2024 Elsevier Ltd