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.
Rajendran, Sundarakannan; Shanmugam, Vigneshwaran; Sanjeevi, Shankar; Yang, Yo-Lun; Marimuthu, Uthayakumar; Palani, Geetha; Veerasimman, Arumugaprabu; Trilaksana, Herri
Prosopis juliflora biochar-based hybrid composites: Mechanical property assessment and development prospects Journal Article
In: Cleaner Engineering and Technology, vol. 26, pp. 100955+, 2025, ISBN: 2666-7908.
Abstract | Links | Tags: CCCIR
@article{393,
title = {Prosopis juliflora biochar-based hybrid composites: Mechanical property assessment and development prospects},
author = {Sundarakannan Rajendran and Vigneshwaran Shanmugam and Shankar Sanjeevi and Yo-Lun Yang and Uthayakumar Marimuthu and Geetha Palani and Arumugaprabu Veerasimman and Herri Trilaksana},
url = {https://www.sciencedirect.com/science/article/pii/S2666790825000783},
doi = {10.1016/j.clet.2025.100955},
isbn = {2666-7908},
year = {2025},
date = {2025-05-01},
journal = {Cleaner Engineering and Technology},
volume = {26},
pages = {100955+},
publisher = {Elsevier},
abstract = {This study investigates the incorporation of biochar derived from invasive Prosopis Juliflora wood as a filler in jute fibre-reinforced epoxy composites at varying weight fractions (5 %, 10 %, 15 %, and 20 % wt). Mechanical evaluations comprised tensile, flexural, impact, and hardness tests, in addition to water absorption assessments. The composite containing 10 % weight biochar exhibited superior performance compared to conventional composites, demonstrating a tensile strength of 49 MPa, a hardness of 79, and an impact strength of 63 J/m. A peak flexural strength of 90 MPa was observed at 15 % wt. Biochar. The findings indicate the potential of biochar sourced from Prosopis Juliflora for sustainable composite materials applicable in the aerospace, automotive, and construction industries.},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {article}
}
This study investigates the incorporation of biochar derived from invasive Prosopis Juliflora wood as a filler in jute fibre-reinforced epoxy composites at varying weight fractions (5 %, 10 %, 15 %, and 20 % wt). Mechanical evaluations comprised tensile, flexural, impact, and hardness tests, in addition to water absorption assessments. The composite containing 10 % weight biochar exhibited superior performance compared to conventional composites, demonstrating a tensile strength of 49 MPa, a hardness of 79, and an impact strength of 63 J/m. A peak flexural strength of 90 MPa was observed at 15 % wt. Biochar. The findings indicate the potential of biochar sourced from Prosopis Juliflora for sustainable composite materials applicable in the aerospace, automotive, and construction industries.
2.
Sidek, N. A.; Nadzri, N. I. M.; Ramli, N. H. B.; Sangar, A. S.; Halin, D. S. C.; Joseph, S.; Vuong, V. -D.
Polska Akademia Nauk, vol. 147, 2025, ISBN: 05874246 (ISSN), (0).
Abstract | Links | Tags: CCCIR
@proceedings{416,
title = {Phase Formation and Structural Analysis via X-Ray Diffraction: Insights into Material Stability and Properties},
author = {N. A. Sidek and N. I. M. Nadzri and N. H. B. Ramli and A. S. Sangar and D. S. C. Halin and S. Joseph and V. -D. Vuong},
url = {https://appol.ifpan.edu.pl/index.php/appa/article/view/147_258},
doi = {10.12693/APhysPolA.147.258},
isbn = {05874246 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Acta Physica Polonica A},
volume = {147},
pages = {258-261,},
publisher = {Polska Akademia Nauk},
abstract = {This review investigates thin films of CoCr-based high-entropy alloys, focusing on their contributions to physics through the study of phase formation and their analysis using X-ray diffraction. By leveraging the principles of crystallography and solid-state physics, the project addresses critical challenges in understanding phase transitions and microstructural evolution in CoCr-based high-entropy alloy system. X-ray diffraction provides key insights on lattice parameters, crystallite size, and strain, linking these parameters to material properties and stability. The integration of computational modeling and experimental techniques emphasizes the project's role in advancing knowledge of phase behavior and its applications in automotive, hard coatings, and even semiconductor. This concise assessment highlights the importance of X-ray diffraction-driven studies in shaping future directions in materials science and physics research. © 2025 Polska Akademia Nauk. All rights reserved},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {proceedings}
}
This review investigates thin films of CoCr-based high-entropy alloys, focusing on their contributions to physics through the study of phase formation and their analysis using X-ray diffraction. By leveraging the principles of crystallography and solid-state physics, the project addresses critical challenges in understanding phase transitions and microstructural evolution in CoCr-based high-entropy alloy system. X-ray diffraction provides key insights on lattice parameters, crystallite size, and strain, linking these parameters to material properties and stability. The integration of computational modeling and experimental techniques emphasizes the project's role in advancing knowledge of phase behavior and its applications in automotive, hard coatings, and even semiconductor. This concise assessment highlights the importance of X-ray diffraction-driven studies in shaping future directions in materials science and physics research. © 2025 Polska Akademia Nauk. All rights reserved
3.
Tennalli, G. B.; Shiralgi, S.; Hungund, B. S.; Joseph, S.; Divate, M. N.; Upadhyaya, K.
In: Results in Chemistry, vol. 18, 2025, (0).
Abstract | Links | Tags: CCCIR
@article{719,
title = {Biogenic synthesis of copper oxide nanoparticles from Ricinus communis L. leaf extract and their cytotoxic and pro-apoptotic effects on tumor cell lines},
author = {G. B. Tennalli and S. Shiralgi and B. S. Hungund and S. Joseph and M. N. Divate and K. Upadhyaya},
url = {https://www.sciencedirect.com/science/article/pii/S221171562500880X?via%3Dihub},
doi = {10.1016/j.rechem.2025.102896},
year = {2025},
date = {2025-01-01},
journal = {Results in Chemistry},
volume = {18},
publisher = {Elsevier B.V.},
abstract = {Copper oxide nanoparticles (CuONPs) were synthesized via an eco-friendly method using aqueous leaf extract of Ricinus communis L. Phytochemical analysis revealed the presence of flavonoids, phenols, and alkaloids, which mediated the reduction and stabilization of nanoparticles. The CuONPs were characterized using UV–Vis spectroscopy, FTIR, XRD, SEM, and EDX techniques. XRD results confirmed a monoclinic crystalline phase with an average crystallite size of ∼25 nm, while SEM images showed uniformly dispersed spherical particles (25–30 nm). The nanoscale morphology facilitated cellular uptake and enhanced surface reactivity, thereby promoting the generation of reactive oxygen species (ROS). CuONPs exhibited dose-dependent cytotoxicity against cancer cell lines with IC₅₀ values of 281 μg/mL (A-549 lung), 795 μg/mL (MCF-7 breast), and 1022 μg/mL (HepG-2 liver), compared to 1467 μg/mL in normal HEK293 cells. Selectivity index (SI) analysis demonstrated preferential toxicity toward A-549 cells (SI = 5.22), while SI values for MCF-7 (1.85) and HepG-2 (1.44) were below the therapeutic threshold. Flow cytometry confirmed apoptosis in 11.1 % of A-549 cells at the IC₅₀ concentration, validated by Annexin V/PI staining and nuclear condensation. Overall, R. communis -mediated synthesis offers a sustainable route to structurally optimized CuONPs with selective antiproliferative and pro-apoptotic activity, which is particularly promising for lung cancer therapy.},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {article}
}
Copper oxide nanoparticles (CuONPs) were synthesized via an eco-friendly method using aqueous leaf extract of Ricinus communis L. Phytochemical analysis revealed the presence of flavonoids, phenols, and alkaloids, which mediated the reduction and stabilization of nanoparticles. The CuONPs were characterized using UV–Vis spectroscopy, FTIR, XRD, SEM, and EDX techniques. XRD results confirmed a monoclinic crystalline phase with an average crystallite size of ∼25 nm, while SEM images showed uniformly dispersed spherical particles (25–30 nm). The nanoscale morphology facilitated cellular uptake and enhanced surface reactivity, thereby promoting the generation of reactive oxygen species (ROS). CuONPs exhibited dose-dependent cytotoxicity against cancer cell lines with IC₅₀ values of 281 μg/mL (A-549 lung), 795 μg/mL (MCF-7 breast), and 1022 μg/mL (HepG-2 liver), compared to 1467 μg/mL in normal HEK293 cells. Selectivity index (SI) analysis demonstrated preferential toxicity toward A-549 cells (SI = 5.22), while SI values for MCF-7 (1.85) and HepG-2 (1.44) were below the therapeutic threshold. Flow cytometry confirmed apoptosis in 11.1 % of A-549 cells at the IC₅₀ concentration, validated by Annexin V/PI staining and nuclear condensation. Overall, R. communis -mediated synthesis offers a sustainable route to structurally optimized CuONPs with selective antiproliferative and pro-apoptotic activity, which is particularly promising for lung cancer therapy.
4.
L, Vidhya; Rajasekaran, Mothiram; Sharmini, K; Gopalakrishnan, Kanapathy; Narani, Sandeep; Murugan, S.
Smart Golf Equipment with SVM Algorithm for Real-Time Analysis of Swing Metrics and Feedback Book
2025.
Abstract | Links | Tags: CCCIR
@book{624,
title = {Smart Golf Equipment with SVM Algorithm for Real-Time Analysis of Swing Metrics and Feedback},
author = {Vidhya L and Mothiram Rajasekaran and K Sharmini and Kanapathy Gopalakrishnan and Sandeep Narani and S. Murugan},
url = {https://ieeexplore.ieee.org/document/11076413},
doi = {10.1109/ICISS63372.2025.11076413},
year = {2025},
date = {2025-01-01},
pages = {694-699,},
abstract = {This research introduces a novel method for improving golf performance with smart golf equipment incorporating Support Vector Machine (SVM) algorithms. The proposed approach captures swing characteristics in real time by processing data from sensors integrated into golf clubs and wearable devices. The SVM algorithm evaluates data, including swing speed, angle, and trajectory, to provide prompt feedback to players. This feedback enables players to evaluate strengths and flaws in their swing technique, promoting focused improvements. The system is designed for user accessibility, allowing golfers of varying proficiency to get performance metrics and personalized coaching advice. Furthermore, mobile apps enable effortless data visualization and longitudinal progress monitoring. Experimental findings indicate that the proposed smart golf equipment using SVM achieves an accuracy of 94.2%, providing real-time feedback and accurate swing analysis, enhancing players' performance via improved motion classification and consistency. It advances sports technology by providing a practical solution for golfers aiming to improve their abilities using data-driven analysis and feedback systems.},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {book}
}
This research introduces a novel method for improving golf performance with smart golf equipment incorporating Support Vector Machine (SVM) algorithms. The proposed approach captures swing characteristics in real time by processing data from sensors integrated into golf clubs and wearable devices. The SVM algorithm evaluates data, including swing speed, angle, and trajectory, to provide prompt feedback to players. This feedback enables players to evaluate strengths and flaws in their swing technique, promoting focused improvements. The system is designed for user accessibility, allowing golfers of varying proficiency to get performance metrics and personalized coaching advice. Furthermore, mobile apps enable effortless data visualization and longitudinal progress monitoring. Experimental findings indicate that the proposed smart golf equipment using SVM achieves an accuracy of 94.2%, providing real-time feedback and accurate swing analysis, enhancing players' performance via improved motion classification and consistency. It advances sports technology by providing a practical solution for golfers aiming to improve their abilities using data-driven analysis and feedback systems.
5.
Hungund, Basavaraj; Tennalli, Gururaj; Gachhi, Dhanashree; Shiralgi, Yallappa
Green Synthesis of Chitosan from Aspergillus niger and Evaluation of Antioxidant Property and Cytotoxic Effects on Selected Cancer Cell Lines Journal Article
In: vol. 37, pp. 1975-1984,, 2025.
Abstract | Links | Tags: CCCIR
@article{623,
title = {Green Synthesis of Chitosan from Aspergillus niger and Evaluation of Antioxidant Property and Cytotoxic Effects on Selected Cancer Cell Lines},
author = {Basavaraj Hungund and Gururaj Tennalli and Dhanashree Gachhi and Yallappa Shiralgi},
url = {https://asianpubs.org/index.php/ajchem/article/view/37_8_19},
doi = {10.14233/ajchem.2025.33979},
year = {2025},
date = {2025-01-01},
volume = {37},
pages = {1975-1984,},
abstract = {Chitin and chitosan, derived from fungal cell walls, possess significant biomedical importance due to their unique material properties. Chitin and chitosan were extracted from Aspergillus niger strains (BSH5 and BSH9) using a two-phase extraction method. The biopolymers were characterized by FTIR, X-ray diffraction (XRD), 1H NMR spectroscopy and scanning electron microscopy (SEM). The thermal stability of chitin and chitosan was studied using thermogravimetric/differential scanning calorimetry (TGA-DSC). Fourier transform infrared (FTIR) was used to analyze the functional groups and validate the composition of the materials. The broad absorption band corresponding to the hydrogen-bonded O-H absorption band overlapped with the N-H band. 1H NMR also confirmed the purity of the biopolymers. X-ray diffraction (XRD) patterns of chitin and chitosan show the semi-crystallinity, a potential layered crystalline structure and a similar pattern to the commercial polymers. TGA-DSC analyses demonstrated the thermal stabilities of chitin and chitosan. Structural morphology by scanning electron microscopy (SEM) revealed thick and rough surfaces indicating the presence of amorphous nature of the material. Antioxidant studies revealed the radical scavenging activity of 46.38% and 47.65% for strains BSH5 and BSH9, respectively. Chitosan from both the stains demonstrated significant cytotoxic effect against MCF7 cell line with IC50 values of 206.6 g/mL and 244.7 g/mL, respectively. The material characterization and biological attributes demonstrated potential biomedical applications of the prepared biopolymer chitosan.},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {article}
}
Chitin and chitosan, derived from fungal cell walls, possess significant biomedical importance due to their unique material properties. Chitin and chitosan were extracted from Aspergillus niger strains (BSH5 and BSH9) using a two-phase extraction method. The biopolymers were characterized by FTIR, X-ray diffraction (XRD), 1H NMR spectroscopy and scanning electron microscopy (SEM). The thermal stability of chitin and chitosan was studied using thermogravimetric/differential scanning calorimetry (TGA-DSC). Fourier transform infrared (FTIR) was used to analyze the functional groups and validate the composition of the materials. The broad absorption band corresponding to the hydrogen-bonded O-H absorption band overlapped with the N-H band. 1H NMR also confirmed the purity of the biopolymers. X-ray diffraction (XRD) patterns of chitin and chitosan show the semi-crystallinity, a potential layered crystalline structure and a similar pattern to the commercial polymers. TGA-DSC analyses demonstrated the thermal stabilities of chitin and chitosan. Structural morphology by scanning electron microscopy (SEM) revealed thick and rough surfaces indicating the presence of amorphous nature of the material. Antioxidant studies revealed the radical scavenging activity of 46.38% and 47.65% for strains BSH5 and BSH9, respectively. Chitosan from both the stains demonstrated significant cytotoxic effect against MCF7 cell line with IC50 values of 206.6 g/mL and 244.7 g/mL, respectively. The material characterization and biological attributes demonstrated potential biomedical applications of the prepared biopolymer chitosan.
6.
Kumar, K. R. H.; Yallappa, S.; Revanasiddappa, M.; Murthy, V. S.; Joseph, S.; Ravikiran, Y. T.
Ag@PANI/TeO2 ternary hybrid nanocomposites; Enhanced transport properties and electromagnetic interference shielding performance Journal Article
In: Journal of Materials Science: Materials in Electronics, vol. 36, 2025, ISBN: 09574522 (ISSN), (0).
Abstract | Links | Tags: CCCIR
@article{475,
title = {Ag@PANI/TeO2 ternary hybrid nanocomposites; Enhanced transport properties and electromagnetic interference shielding performance},
author = {K. R. H. Kumar and S. Yallappa and M. Revanasiddappa and V. S. Murthy and S. Joseph and Y. T. Ravikiran},
url = {https://link.springer.com/article/10.1007/s10854-025-15244-6},
doi = {10.1007/s10854-025-15244-6},
isbn = {09574522 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Journal of Materials Science: Materials in Electronics},
volume = {36},
publisher = {Springer},
abstract = {To enhance AC conductivity and electromagnetic interference (EMI) shielding in high-frequency electronic applications, a ternary Ag@PANI/TeO2 nanocomposite has been prepared. This study finds its transport behavior and the shielding effectiveness (SE) by varying TeO2 NPs (2%, 4%, 6%, 8%, and 10% w/w) concentrations. Green tea extract is used here as a reducing and stabilizing agent for the synthesis of silver nanoparticles (AgNPs) from Ag + ions. Comprehensive characterization techniques were used such as FTIR, XRD, SEM and EDX analyses. FTIR spectra confirm the successful incorporation of Ag, TeO2, and PANI through characteristic peaks, while XRD analysis highlights the crystalline nature of the composite. SEM analysis revealed the surface morphology of the composites, and EDX provided the corresponding elemental composition. AC conductivity was measured by a frequency range of 20 to 10⁷ Hz. The composite materials with 2%, 4%, 6%, and 10% TeO2 NPs exhibit relatively stable conductivity (10⁻2 to 10⁶ Hz) before a sharp increase, indicating characteristics of disordered materials. The 8% TeO2 NPs composite, however, maintains stable conductivity up to 105 Hz before a rapid rise between 105 and 10⁷ Hz, reaching 10⁻2, showing improved conductivity over the binary Ag-PANI system (~ 10⁻5). EMI shielding effectiveness in the S-band (2–3 GHz) demonstrates significant shielding efficiency (− 5 to − 9 dB), attributed to the synergistic interaction of phytochemicals coated AgNPs, PANI, and TeO2 NPs, which enhance electrical conductivity and electromagnetic wave dissipation. Furthermore, physical phenomena such as binding and agglomeration during in-situ polymerization, contributing to EM absorption and scattering, are thoroughly discussed. The results show that the optimized Ag@PANI/TeO2 composite offers great potential for use as an effective EMI shielding material in advanced electronic and communication technologies.},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {article}
}
To enhance AC conductivity and electromagnetic interference (EMI) shielding in high-frequency electronic applications, a ternary Ag@PANI/TeO2 nanocomposite has been prepared. This study finds its transport behavior and the shielding effectiveness (SE) by varying TeO2 NPs (2%, 4%, 6%, 8%, and 10% w/w) concentrations. Green tea extract is used here as a reducing and stabilizing agent for the synthesis of silver nanoparticles (AgNPs) from Ag + ions. Comprehensive characterization techniques were used such as FTIR, XRD, SEM and EDX analyses. FTIR spectra confirm the successful incorporation of Ag, TeO2, and PANI through characteristic peaks, while XRD analysis highlights the crystalline nature of the composite. SEM analysis revealed the surface morphology of the composites, and EDX provided the corresponding elemental composition. AC conductivity was measured by a frequency range of 20 to 10⁷ Hz. The composite materials with 2%, 4%, 6%, and 10% TeO2 NPs exhibit relatively stable conductivity (10⁻2 to 10⁶ Hz) before a sharp increase, indicating characteristics of disordered materials. The 8% TeO2 NPs composite, however, maintains stable conductivity up to 105 Hz before a rapid rise between 105 and 10⁷ Hz, reaching 10⁻2, showing improved conductivity over the binary Ag-PANI system (~ 10⁻5). EMI shielding effectiveness in the S-band (2–3 GHz) demonstrates significant shielding efficiency (− 5 to − 9 dB), attributed to the synergistic interaction of phytochemicals coated AgNPs, PANI, and TeO2 NPs, which enhance electrical conductivity and electromagnetic wave dissipation. Furthermore, physical phenomena such as binding and agglomeration during in-situ polymerization, contributing to EM absorption and scattering, are thoroughly discussed. The results show that the optimized Ag@PANI/TeO2 composite offers great potential for use as an effective EMI shielding material in advanced electronic and communication technologies.
7.
Nandisha, P. S.; Yallappa, S.; Joseph, S.; Umesha, B.; Nagashree, K. L.; El-Gawad, H. H.
One-Pot Hydrothermal Synthesis of ZnO@Bi2MoO6-MoS2 Ternary Nanoflower Composites for Efficient Photodegradation of Rhodamine B Journal Article
In: Journal of Cluster Science, vol. 36, 2025, ISBN: 10407278 (ISSN), (0).
Abstract | Links | Tags: CCCIR
@article{446,
title = {One-Pot Hydrothermal Synthesis of ZnO@Bi2MoO6-MoS2 Ternary Nanoflower Composites for Efficient Photodegradation of Rhodamine B},
author = {P. S. Nandisha and S. Yallappa and S. Joseph and B. Umesha and K. L. Nagashree and H. H. El-Gawad},
url = {https://link.springer.com/article/10.1007/s10876-025-02828-9},
doi = {10.1007/s10876-025-02828-9},
isbn = {10407278 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Journal of Cluster Science},
volume = {36},
publisher = {Springer},
abstract = {Ternary heterojunction materials with well-aligned conduction (CB) and valence bands (VB) can significantly enhance photocatalytic performance. In this study, a ZnO@Bi₂MoO₆-MoS2 (ZBM) nanoflower photocatalyst was synthesized using a one-pot hydrothermal method with urea, thiourea, and citric acid as reducing and stabilizing agents. The structure, morphology, and elemental composition of the ZBM composite were analyzed using X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), and energy-dispersive X-ray (EDX) spectroscopy. Electrochemical studies, including electron impedance spectroscopy (EIS) and photocurrent measurements, confirmed the material’s strong catalytic potential. Thermal analysis (TGA-DTA) showed that the ZBM composite is stable at high temperatures. The ZnO@Bi₂MoO₆-MoS2 ternary composite exhibited excellent photocatalytic efficiency, degrading 97.2% of RhB in 60 min with a rate constant of 0.0219 min⁻¹ at neutral pH. It maintained structural integrity after four photodegradation cycles, demonstrating good stability. The optimal catalyst dosage for RhB degradation was determined to be 30 mg. The presence of ZnO and MoS2 improved charge separation in Bi₂MoO₆, enhancing photocatalytic activity through dual Z-Scheme and S-Scheme mechanisms. Scavenging studies revealed that using peroxide as a scavenger, along with the ZBM photocatalyst, further improved degradation efficiency by increasing the involvement of reactive species such as holes and superoxide (O₂⁻).},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {article}
}
Ternary heterojunction materials with well-aligned conduction (CB) and valence bands (VB) can significantly enhance photocatalytic performance. In this study, a ZnO@Bi₂MoO₆-MoS2 (ZBM) nanoflower photocatalyst was synthesized using a one-pot hydrothermal method with urea, thiourea, and citric acid as reducing and stabilizing agents. The structure, morphology, and elemental composition of the ZBM composite were analyzed using X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), and energy-dispersive X-ray (EDX) spectroscopy. Electrochemical studies, including electron impedance spectroscopy (EIS) and photocurrent measurements, confirmed the material’s strong catalytic potential. Thermal analysis (TGA-DTA) showed that the ZBM composite is stable at high temperatures. The ZnO@Bi₂MoO₆-MoS2 ternary composite exhibited excellent photocatalytic efficiency, degrading 97.2% of RhB in 60 min with a rate constant of 0.0219 min⁻¹ at neutral pH. It maintained structural integrity after four photodegradation cycles, demonstrating good stability. The optimal catalyst dosage for RhB degradation was determined to be 30 mg. The presence of ZnO and MoS2 improved charge separation in Bi₂MoO₆, enhancing photocatalytic activity through dual Z-Scheme and S-Scheme mechanisms. Scavenging studies revealed that using peroxide as a scavenger, along with the ZBM photocatalyst, further improved degradation efficiency by increasing the involvement of reactive species such as holes and superoxide (O₂⁻).
8.
Ramkumar, M. S.; Nivetha, R.; Kannaiyan, M.; Kanan, M.; Shankar, S.; Giri, J.
Diabetic Retinopathy Image Classification using Quasi Cross UNet Discrete Transform with Gold Rush Optimizer Proceedings
Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 979-833150574-5 (ISBN), (0).
Abstract | Links | Tags: CCCIR
@proceedings{426,
title = {Diabetic Retinopathy Image Classification using Quasi Cross UNet Discrete Transform with Gold Rush Optimizer},
author = {M. S. Ramkumar and R. Nivetha and M. Kannaiyan and M. Kanan and S. Shankar and J. Giri},
url = {https://ieeexplore.ieee.org/document/10968029},
doi = {10.1109/ICMLAS64557.2025.10968029},
isbn = {979-833150574-5 (ISBN)},
year = {2025},
date = {2025-01-01},
journal = {2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Proceedings},
pages = {1285-1291,},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The diagnosis of diabetic retinopathy faces three main challenges which include inconsistent image clarity and weak detection of small visual impairments and little ability to share information between different sets of data. The model suffers from two issues which limit its practical use: high expenses for operations as well as low decision accuracy because of complex tissue dynamics. Using the MESSIDOR dataset as input, this paper illustrates the application of the Quasi Cross UNet Discrete Transform with Gold Rush Optimizer (QCUNet-DT-GRO) algorithm for diabetic retinopathy picture categorization. The Unet Swin Transformer (UST) approach is used to precisely segment areas afflicted by diabetic retinopathy, while the Quasi-Cross Bilateral Filtering (QCBF) methodology improves image quality. The One-Dimensional Discrete Transform (ODDT) is used to extract features. The Gold Rush Optimizer (GdRO) does optimization, while the Gates-Controlled Deep Unfolding Network (GCDUNet) handles classification. The system detects diabetic retinopathy along with distinguishing between normal and diabetic retina structures. According to experimental results, QCUNet-DT-GRO performs better than current techniques, with 99.9% accuracy and 99.8% sensitivity. This method is shown to be a viable substitute for the manual diagnostic processes that are now in use, enabling robotic diagnosis systems in subsequent applications.},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {proceedings}
}
The diagnosis of diabetic retinopathy faces three main challenges which include inconsistent image clarity and weak detection of small visual impairments and little ability to share information between different sets of data. The model suffers from two issues which limit its practical use: high expenses for operations as well as low decision accuracy because of complex tissue dynamics. Using the MESSIDOR dataset as input, this paper illustrates the application of the Quasi Cross UNet Discrete Transform with Gold Rush Optimizer (QCUNet-DT-GRO) algorithm for diabetic retinopathy picture categorization. The Unet Swin Transformer (UST) approach is used to precisely segment areas afflicted by diabetic retinopathy, while the Quasi-Cross Bilateral Filtering (QCBF) methodology improves image quality. The One-Dimensional Discrete Transform (ODDT) is used to extract features. The Gold Rush Optimizer (GdRO) does optimization, while the Gates-Controlled Deep Unfolding Network (GCDUNet) handles classification. The system detects diabetic retinopathy along with distinguishing between normal and diabetic retina structures. According to experimental results, QCUNet-DT-GRO performs better than current techniques, with 99.9% accuracy and 99.8% sensitivity. This method is shown to be a viable substitute for the manual diagnostic processes that are now in use, enabling robotic diagnosis systems in subsequent applications.
9.
Sivaramkrishnan, M.; Kavitha, D.; Gopan, G.; Kanan, M.; Shankar, S.; Giri, J.
Urban Traffic Prediction Using Two-Branch Attention Networks With Adversarial Domain Adaptation Proceedings
Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 979-833150574-5 (ISBN), (0).
Abstract | Links | Tags: CCCIR
@proceedings{421,
title = {Urban Traffic Prediction Using Two-Branch Attention Networks With Adversarial Domain Adaptation},
author = {M. Sivaramkrishnan and D. Kavitha and G. Gopan and M. Kanan and S. Shankar and J. Giri},
url = {https://ieeexplore.ieee.org/document/10968303},
doi = {10.1109/ICMLAS64557.2025.10968303},
isbn = {979-833150574-5 (ISBN)},
year = {2025},
date = {2025-01-01},
journal = {2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Proceedings},
pages = {1272-1277,},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The prediction of urban traffic forms an essential element in present-day intelligent transportation systems since it assists transportation agencies with improved traffic management and congestion control. Standard forecasting algorithms that monitor traffic experience difficulty in reaching accurate results because urban road networks show complex dynamic characteristics along with weather conditions and incidents on roads. Machine learning and deep learning models experience decreased accuracy when applied to different urban domains primarily due to domain shift problems. This study introduces Adversarial Domain Adaptation Two-Branch Attention Network (ADAT-BAN) as a new solution for urban traffic prediction to overcome existing challenges. The model achieves superior learning process performance through the implementation of the Starling Murmuration Optimization (SMO) algorithm. Optimized traffic parameter selection is achieved through the implementation of hybrid Tasmanian Devil Optimization (TDO) with Zebra Optimization Algorithm (ZOA) to select the most appropriate traffic metrics used for prediction purposes. The solution addresses domain shift problems through effective strategies to identify complex temporal and spatial traffic relationships. The framework achieves exceptional results through experimental testing because it produces prediction accuracy reaching 99.9% above existing models. The framework demonstrates high operational capacity toward real-life traffic management in cities through improved urban flow management along with exact predicting capabilities. © 2025 IEEE},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {proceedings}
}
The prediction of urban traffic forms an essential element in present-day intelligent transportation systems since it assists transportation agencies with improved traffic management and congestion control. Standard forecasting algorithms that monitor traffic experience difficulty in reaching accurate results because urban road networks show complex dynamic characteristics along with weather conditions and incidents on roads. Machine learning and deep learning models experience decreased accuracy when applied to different urban domains primarily due to domain shift problems. This study introduces Adversarial Domain Adaptation Two-Branch Attention Network (ADAT-BAN) as a new solution for urban traffic prediction to overcome existing challenges. The model achieves superior learning process performance through the implementation of the Starling Murmuration Optimization (SMO) algorithm. Optimized traffic parameter selection is achieved through the implementation of hybrid Tasmanian Devil Optimization (TDO) with Zebra Optimization Algorithm (ZOA) to select the most appropriate traffic metrics used for prediction purposes. The solution addresses domain shift problems through effective strategies to identify complex temporal and spatial traffic relationships. The framework achieves exceptional results through experimental testing because it produces prediction accuracy reaching 99.9% above existing models. The framework demonstrates high operational capacity toward real-life traffic management in cities through improved urban flow management along with exact predicting capabilities. © 2025 IEEE
10.
Ali, N. I. M.; Nadzri, N. I. M.; Salleh, A. A. M.; Sangar, A. S.; Jun, T. -S.; Joseph, S.
Impact of Aluminum Addition on Microstrain and Dislocation Density in CoCrFeMnNi High-Entropy Alloys Proceedings
Polska Akademia Nauk, vol. 147, 2025, ISBN: 05874246 (ISSN), (0).
Abstract | Links | Tags: CCCIR
@proceedings{420,
title = {Impact of Aluminum Addition on Microstrain and Dislocation Density in CoCrFeMnNi High-Entropy Alloys},
author = {N. I. M. Ali and N. I. M. Nadzri and A. A. M. Salleh and A. S. Sangar and T. -S. Jun and S. Joseph},
url = {https://appol.ifpan.edu.pl/index.php/appa/article/view/147_266},
doi = {10.12693/APhysPolA.147.266},
isbn = {05874246 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Acta Physica Polonica A},
volume = {147},
pages = {266-269,},
publisher = {Polska Akademia Nauk},
abstract = {In this research, the in uence of aluminum (Al) addition on the structural and mechanical properties of CoCrFeMnNi high-entropy alloys was investigated through the lens of solid-state physics. Utilizing vacuum arc melting for fabrication, the study examines the phase transformations, lattice distortions, and their correlation with material hardness. X-ray diffraction analysis reveals a 2.5% peak shift from 44.55◦ (face-centered cubic) to 45.66◦ (body-centered cubic), indicating a phase transition. This structural evolution is accompanied by a 142.7% increase in microstrain (from 1.44 × 10−5 to 3.48 × 10−5) and a 58.6% rise in dislocation density (from 4.06 ×107 to 6.44 ×107 cm−2), signifying enhanced lattice distortions. Consequently, the Vickers hardness improves by 178.3%, from 183.38 ±5 to 510.59 ±5 HV. The transition from face-centered phase to body-centered cubic phase, driven by lattice distortions and microstructural modi cations, underscores the Al's pivotal role in optimizing HEA properties. These ndings provide critical insights into the phase behavior and mechanical property enhancement, contributing to advances in the design and application of high-performance materials.},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {proceedings}
}
In this research, the in uence of aluminum (Al) addition on the structural and mechanical properties of CoCrFeMnNi high-entropy alloys was investigated through the lens of solid-state physics. Utilizing vacuum arc melting for fabrication, the study examines the phase transformations, lattice distortions, and their correlation with material hardness. X-ray diffraction analysis reveals a 2.5% peak shift from 44.55◦ (face-centered cubic) to 45.66◦ (body-centered cubic), indicating a phase transition. This structural evolution is accompanied by a 142.7% increase in microstrain (from 1.44 × 10−5 to 3.48 × 10−5) and a 58.6% rise in dislocation density (from 4.06 ×107 to 6.44 ×107 cm−2), signifying enhanced lattice distortions. Consequently, the Vickers hardness improves by 178.3%, from 183.38 ±5 to 510.59 ±5 HV. The transition from face-centered phase to body-centered cubic phase, driven by lattice distortions and microstructural modi cations, underscores the Al's pivotal role in optimizing HEA properties. These ndings provide critical insights into the phase behavior and mechanical property enhancement, contributing to advances in the design and application of high-performance materials.
11.
Revanasiddappa, M.; Yallappa, S.; Patel, B. M. B.; Joseph, S.; Maruthi, N.; Moussa, S. Ben; Alzahrani, A. Y. A.
Ag-polyaniline/α-Al₂O₃ ternary nanocomposites for enhanced electrical conductivity and EMI shielding performance Journal Article
In: Journal of Alloys and Compounds, vol. 1030, 2025, ISBN: 09258388 (ISSN), (0).
Abstract | Links | Tags: CCCIR
@article{419,
title = {Ag-polyaniline/α-Al₂O₃ ternary nanocomposites for enhanced electrical conductivity and EMI shielding performance},
author = {M. Revanasiddappa and S. Yallappa and B. M. B. Patel and S. Joseph and N. Maruthi and S. Ben Moussa and A. Y. A. Alzahrani},
url = {https://www.sciencedirect.com/science/article/abs/pii/S0925838825024867?via%3Dihub},
doi = {10.1016/j.jallcom.2025.180925},
isbn = {09258388 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Journal of Alloys and Compounds},
volume = {1030},
publisher = {Elsevier Ltd},
abstract = {A ternary hybrid composite of silver-polyaniline/α-alumina (Ag-PANI/α-Al₂O₃) was successfully synthesized using a straightforward in situ polymerization method in an HCl solution. The composite's structural, morphological, and electrical properties were systematically analyzed to assess its potential for electrical conductivity and electromagnetic interference (EMI) shielding applications. X-ray diffraction (XRD) confirmed the formation of Ag-PANI and the incorporation of α-Al₂O₃ nanoparticles (NPs), with a noticeable reduction in crystallinity upon α-Al₂O₃ additions. Fourier-transform infrared (FTIR) spectroscopy validated PANI polymerization and its interaction with α-Al₂O₃. Field emission scanning electron microscopy (FE-SEM) revealed a uniform dispersion of α-Al₂O₃ within the Ag-PANI matrix, facilitating the development of a compact structure. Electrical conductivity analysis demonstrated that the AC conductivity (σac) exhibited a frequency-dependent trend, reaching a peak value of 8.7 × 10⁻⁵ S/cm at 6 wt% α-Al₂O₃. Dielectric studies indicated a significant enhancement in the dielectric constant, attributed to interfacial polarization. EMI shielding analysis using a vector network analyzer (VNA) showed that the 6 wt% α-Al₂O₃ composite achieved optimal shielding (∼37.4 dB) in the S-band (8.2–12.4 GHz), effectively attenuating over 90 % of incident electromagnetic waves. The superior electrical and dielectric properties of the composite arise from the synergistic interaction between PANI, α-Al₂O₃, and AgNPs, making it a promising candidate for advanced EMI shielding applications.},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {article}
}
A ternary hybrid composite of silver-polyaniline/α-alumina (Ag-PANI/α-Al₂O₃) was successfully synthesized using a straightforward in situ polymerization method in an HCl solution. The composite's structural, morphological, and electrical properties were systematically analyzed to assess its potential for electrical conductivity and electromagnetic interference (EMI) shielding applications. X-ray diffraction (XRD) confirmed the formation of Ag-PANI and the incorporation of α-Al₂O₃ nanoparticles (NPs), with a noticeable reduction in crystallinity upon α-Al₂O₃ additions. Fourier-transform infrared (FTIR) spectroscopy validated PANI polymerization and its interaction with α-Al₂O₃. Field emission scanning electron microscopy (FE-SEM) revealed a uniform dispersion of α-Al₂O₃ within the Ag-PANI matrix, facilitating the development of a compact structure. Electrical conductivity analysis demonstrated that the AC conductivity (σac) exhibited a frequency-dependent trend, reaching a peak value of 8.7 × 10⁻⁵ S/cm at 6 wt% α-Al₂O₃. Dielectric studies indicated a significant enhancement in the dielectric constant, attributed to interfacial polarization. EMI shielding analysis using a vector network analyzer (VNA) showed that the 6 wt% α-Al₂O₃ composite achieved optimal shielding (∼37.4 dB) in the S-band (8.2–12.4 GHz), effectively attenuating over 90 % of incident electromagnetic waves. The superior electrical and dielectric properties of the composite arise from the synergistic interaction between PANI, α-Al₂O₃, and AgNPs, making it a promising candidate for advanced EMI shielding applications.
12.
Sangar, Arnita; Nadzri, Nur; Nazeri, Muhammad; Ali, Nurlyana; Sidek, Nur; Chelvanathan, Puvaneswaran; Putthisigamany, Yoganash; Jun, Tea-Sung; Joseph, Sudha
Impact of Titanium Addition on the Microstructural and Mechanical Properties of CrCoFeMnNi High Entropy Alloy Book Chapter
In: vol. 418, pp. 156-161,, 2025, ISBN: 978-981-96-2870-4.
Abstract | Links | Tags: CCCIR
@inbook{397,
title = {Impact of Titanium Addition on the Microstructural and Mechanical Properties of CrCoFeMnNi High Entropy Alloy},
author = {Arnita Sangar and Nur Nadzri and Muhammad Nazeri and Nurlyana Ali and Nur Sidek and Puvaneswaran Chelvanathan and Yoganash Putthisigamany and Tea-Sung Jun and Sudha Joseph},
doi = {10.1007/978-981-96-2871-1_22},
isbn = {978-981-96-2870-4},
year = {2025},
date = {2025-01-01},
volume = {418},
pages = {156-161,},
abstract = {The impact of titanium (Ti) addition on cobalt, chromium, iron, manganese, and nickel (CrCoFeMnNi) high entropy alloy (HEA) was studied in the aspect of microstructural and mechanical properties. The CrCoFeMnNiTi HEA was cast via a vacuum melting process and remelted five times to achieve homogeneity. X-ray diffraction (XRD) was used to identify the phases presence where addition Ti introduced new phase (BCC). Field emission scanning electron microscopy (FESEM) analysis discovers a dendritic structure present in the titanium-added CrCoFeMnNi HEA. In addition, the CrCoFeMnNiTi HEA gives a higher hardness value of 949.24 ± 5 HV compared to the CrCoFeMnNi alloy, which has a hardness value of 184.42 ± 5 HV. The findings suggest that the addition of Ti has a positive impact such as higher hardness, which has potential applications in a wide range of materials science and engineering fields.},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {inbook}
}
The impact of titanium (Ti) addition on cobalt, chromium, iron, manganese, and nickel (CrCoFeMnNi) high entropy alloy (HEA) was studied in the aspect of microstructural and mechanical properties. The CrCoFeMnNiTi HEA was cast via a vacuum melting process and remelted five times to achieve homogeneity. X-ray diffraction (XRD) was used to identify the phases presence where addition Ti introduced new phase (BCC). Field emission scanning electron microscopy (FESEM) analysis discovers a dendritic structure present in the titanium-added CrCoFeMnNi HEA. In addition, the CrCoFeMnNiTi HEA gives a higher hardness value of 949.24 ± 5 HV compared to the CrCoFeMnNi alloy, which has a hardness value of 184.42 ± 5 HV. The findings suggest that the addition of Ti has a positive impact such as higher hardness, which has potential applications in a wide range of materials science and engineering fields.
13.
Ali, N. I. M.; Nadzri, N. I. M.; Jamil, N. H.; Joseph, S.; Rylski, A.; Ramli, N. H.; Aminuddin, M.
Impact of Al and Ti as Alloying Element in CoCrFeMnNi High Entropy Alloy on Mechanical Properties Book
IOS Press BV, 2024, ISBN: 2352751X (ISSN); 9781643685465 (ISBN), (0).
Abstract | Links | Tags: CCCIR
@book{376,
title = {Impact of Al and Ti as Alloying Element in CoCrFeMnNi High Entropy Alloy on Mechanical Properties},
author = {N. I. M. Ali and N. I. M. Nadzri and N. H. Jamil and S. Joseph and A. Rylski and N. H. Ramli and M. Aminuddin},
doi = {10.3233/ATDE240640},
isbn = {2352751X (ISSN); 9781643685465 (ISBN)},
year = {2024},
date = {2024-01-01},
journal = {10th International Conference on Advances in Machinery, Material Science and Engineering Application, MMSE 2024},
volume = {58},
pages = {314-319,},
publisher = {IOS Press BV},
abstract = {The Cantor alloy has emerged as one of the most promising alloy systems in recent years, distinguishing itself as a high-entropy alloy (HEA) with exceptional ductility and fracture toughness. This study focuses on equiatomic CoCrFeMnNi, CoCrFeMnNiAl, and CoCrFeMnNiTi HEA, aiming to explore the impact of aluminium (Al) and titanium (Ti) as an alloying element on their structure. These HEAs were fabricated using casting techniques, and their phase transformation was analyzed through X-ray diffraction (XRD) and field emission scanning electron microscopy (FESEM). Hardness values were determined via Vickers hardness tests. The findings reveal that Al and Ti significantly influence the solidification process and grain growth kinetics of the alloy. These alterations in microstructure contribute to a notable enhancement in hardness, increasing from 1.8 GPa to 4.9 GPa and 9.3 GPa respectively. This improvement primarily stems from phase transformation of FCC to BCC structure. © 2024 The Authors.},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {book}
}
The Cantor alloy has emerged as one of the most promising alloy systems in recent years, distinguishing itself as a high-entropy alloy (HEA) with exceptional ductility and fracture toughness. This study focuses on equiatomic CoCrFeMnNi, CoCrFeMnNiAl, and CoCrFeMnNiTi HEA, aiming to explore the impact of aluminium (Al) and titanium (Ti) as an alloying element on their structure. These HEAs were fabricated using casting techniques, and their phase transformation was analyzed through X-ray diffraction (XRD) and field emission scanning electron microscopy (FESEM). Hardness values were determined via Vickers hardness tests. The findings reveal that Al and Ti significantly influence the solidification process and grain growth kinetics of the alloy. These alterations in microstructure contribute to a notable enhancement in hardness, increasing from 1.8 GPa to 4.9 GPa and 9.3 GPa respectively. This improvement primarily stems from phase transformation of FCC to BCC structure. © 2024 The Authors.
14.
Prasad, Tarun; Raganna, A.; Raj, Cyril
Implementing LPC1768 Microcontroller with UI Control for Ground Penentration Radar Proceedings
Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835037289-2 (ISBN), (0).
Abstract | Links | Tags: CCCIR
@proceedings{95,
title = {Implementing LPC1768 Microcontroller with UI Control for Ground Penentration Radar},
author = {Tarun Prasad and A. Raganna and Cyril Raj},
doi = {10.1109/NMITCON62075.2024.10698917},
isbn = {979-835037289-2 (ISBN)},
year = {2024},
date = {2024-01-01},
journal = {2nd IEEE International Conference on Networks, Multimedia and Information Technology, NMITCON 2024},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {GPR is essential in involving subsurface imaging in geology, infrastructure and archaeology. The works presented in this study describe the design and implementation of a frequency-tuned continuous wave GPR system with readily interpretable control interface. Led by the Europe-based scholars of Sapienza University, Rome, the project targets the incorporation of GPR in education. With affordable commercial parts, a strong GPR model was built to investigate various signal tuning designs at their best. The firmware programming based on the Python contains a graphic interface for comfortable work and an additional software component for the precise setting of the transmitting signal parameters. The given approach enables not only improving the GPR system's operational conditions but also involving the system in pedagogical processes. The outlined framework speaks of practical applicability of radar technologies in conjunction with educational improvement initiatives while indicating that the developed tool is efficient. © 2024 IEEE.},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {proceedings}
}
GPR is essential in involving subsurface imaging in geology, infrastructure and archaeology. The works presented in this study describe the design and implementation of a frequency-tuned continuous wave GPR system with readily interpretable control interface. Led by the Europe-based scholars of Sapienza University, Rome, the project targets the incorporation of GPR in education. With affordable commercial parts, a strong GPR model was built to investigate various signal tuning designs at their best. The firmware programming based on the Python contains a graphic interface for comfortable work and an additional software component for the precise setting of the transmitting signal parameters. The given approach enables not only improving the GPR system's operational conditions but also involving the system in pedagogical processes. The outlined framework speaks of practical applicability of radar technologies in conjunction with educational improvement initiatives while indicating that the developed tool is efficient. © 2024 IEEE.
15.
Joseph, S.; Hegde, A. R.; Gopalakrishnan, V.; Yallappa, S.; Nadzri, N. I. M.; Joseph, K.; Meenakshi, K.
Biodegradable Plastics from Mango Seed Starch for Sustainable Food Packaging-Effect of Citric Acid and Fillers Journal Article
In: ChemistrySelect, vol. 9, pp. e202401312+, 2024, ISBN: 23656549 (ISSN), (1).
Abstract | Links | Tags: CCCIR
@article{40,
title = {Biodegradable Plastics from Mango Seed Starch for Sustainable Food Packaging-Effect of Citric Acid and Fillers},
author = {S. Joseph and A. R. Hegde and V. Gopalakrishnan and S. Yallappa and N. I. M. Nadzri and K. Joseph and K. Meenakshi},
doi = {10.1002/slct.202401312},
isbn = {23656549 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {ChemistrySelect},
volume = {9},
pages = {e202401312+},
publisher = {John Wiley and Sons Inc},
abstract = {Starch based bioplastics were prepared and characterized with fillers carboxy methyl cellulose (CMC), chitosan (CS) and nanochitosan (NCS); plasticizer sorbitol and cross-linking agent citric acid (CA) at different loading levels. Structural, water resistance, water vapor permeability, solubility, mechanical, antimicrobial and biodegradation properties of the bioplastics were investigated. FTIR confirmed bonding of starch with cross-linking agent, fillers and plasticizer. The water uptake of the CMC bioplastics was decreased up to 70 % with 20 % CA addition. Bioplastics with CS and NCS showed lesser water uptake, only 12.5 % for CS bioplastic. The water vapour permeability (WVP) of all bioplastics was low in the range 2.16×10−7–6.29×10−7 gday−1 m−1 Pa−1. The CA addition increased water resistance and lowered WVP of the bioplastics by restricting the hydrophilic functional groups and forming more tight structures. The fillers CS and NCS additions enhanced the mechanical strength attributing to more hydrogen bonding between NH3+ of chitosan and OH− of starch. All bioplastics demonstrated good antimicrobial activities. These bioplastics offer an attractive alternative to non-biodegradable plastics used in food packaging due to its enhanced water resistance, antibacterial properties and biodegradability. © 2024 Wiley-VCH GmbH.},
note = {1},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {article}
}
Starch based bioplastics were prepared and characterized with fillers carboxy methyl cellulose (CMC), chitosan (CS) and nanochitosan (NCS); plasticizer sorbitol and cross-linking agent citric acid (CA) at different loading levels. Structural, water resistance, water vapor permeability, solubility, mechanical, antimicrobial and biodegradation properties of the bioplastics were investigated. FTIR confirmed bonding of starch with cross-linking agent, fillers and plasticizer. The water uptake of the CMC bioplastics was decreased up to 70 % with 20 % CA addition. Bioplastics with CS and NCS showed lesser water uptake, only 12.5 % for CS bioplastic. The water vapour permeability (WVP) of all bioplastics was low in the range 2.16×10−7–6.29×10−7 gday−1 m−1 Pa−1. The CA addition increased water resistance and lowered WVP of the bioplastics by restricting the hydrophilic functional groups and forming more tight structures. The fillers CS and NCS additions enhanced the mechanical strength attributing to more hydrogen bonding between NH3+ of chitosan and OH− of starch. All bioplastics demonstrated good antimicrobial activities. These bioplastics offer an attractive alternative to non-biodegradable plastics used in food packaging due to its enhanced water resistance, antibacterial properties and biodegradability. © 2024 Wiley-VCH GmbH.
16.
Surendra, D. M.; Chamaraja, N. A.; Yallappa, S.; Bhavya, D. K.; Joseph, S.; Varma, R. S.; Manjanna, J.; Patel, B. M.
Efficacy of phytochemical-functionalized silver nanoparticles to control Flacherie and Sappe silkworm diseases in Bombyx mori L. larvae Journal Article
In: Plant Nano Biology, vol. 5, pp. 100048+, 2023, ISBN: 27731111 (ISSN), (2).
Abstract | Links | Tags: CCCIR
@article{16,
title = {Efficacy of phytochemical-functionalized silver nanoparticles to control Flacherie and Sappe silkworm diseases in Bombyx mori L. larvae},
author = {D. M. Surendra and N. A. Chamaraja and S. Yallappa and D. K. Bhavya and S. Joseph and R. S. Varma and J. Manjanna and B. M. Patel},
doi = {10.1016/j.plana.2023.100048},
isbn = {27731111 (ISSN)},
year = {2023},
date = {2023-01-01},
journal = {Plant Nano Biology},
volume = {5},
pages = {100048+},
publisher = {Elsevier B.V.},
abstract = {Plant extracts comprise a complex mixture of numerous phytochemicals including important alkaloids and polyphenols that can reduce metal ions, and comprise unsaturated compounds such as α-linolenic and carboxylic acid that acts as stabilizing agents in the greener assembly of nanomaterials. The present study demonstrates the role of phytoconstituents from flowers of Tridax trilobata (T. trilobata) in the synthesis of silver nanoparticles (AgNPs) that investigates their effects on the growth and development of the silkworm Bombyx mori L. besides controlling the occurrence of Flacherie and Sappe microbial diseases. FTIR and 13C NMR spectral studies confirmed the in situ role of phytochemicals from the flower extract responsible for the reduction of silver ions to AgNPs with crystalline structure, which is confirmed by XRD analysis. Compared to pure alkaloids and polyphenols, AgNPs synthesized with crude flower extract displayed synergistic antibacterial activity against Flacherie and Sappe microbial strains such as B. subtilis, S. aureus, E. coli, B. cereus, Aerobactercloacae, and S. typhi. Furthermore, AgNPs prevented the growth of biofilms in a concentration-dependent manner and an increase in inhibition is observed with concentration augmentation from 0 to 50 µg/mL. In addition, the biosynthesized AgNPs increased the feeding efficiency and improved the body weight and shell weight of Bombyx mori L. larvae, pupae, and cocoons. Overall, this integrated study found that AgNPs were effective in reducing Flacherie and Sappe disease caused by the consumption of bacterially contaminated mulberry leaves, thus improving the survival rate of Bombyx mori L. and eventually improving the crop yield through insights into the anti-biofilm activity of phytochemical-adorned AgNPs. © 2023 The Authors},
note = {2},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {article}
}
Plant extracts comprise a complex mixture of numerous phytochemicals including important alkaloids and polyphenols that can reduce metal ions, and comprise unsaturated compounds such as α-linolenic and carboxylic acid that acts as stabilizing agents in the greener assembly of nanomaterials. The present study demonstrates the role of phytoconstituents from flowers of Tridax trilobata (T. trilobata) in the synthesis of silver nanoparticles (AgNPs) that investigates their effects on the growth and development of the silkworm Bombyx mori L. besides controlling the occurrence of Flacherie and Sappe microbial diseases. FTIR and 13C NMR spectral studies confirmed the in situ role of phytochemicals from the flower extract responsible for the reduction of silver ions to AgNPs with crystalline structure, which is confirmed by XRD analysis. Compared to pure alkaloids and polyphenols, AgNPs synthesized with crude flower extract displayed synergistic antibacterial activity against Flacherie and Sappe microbial strains such as B. subtilis, S. aureus, E. coli, B. cereus, Aerobactercloacae, and S. typhi. Furthermore, AgNPs prevented the growth of biofilms in a concentration-dependent manner and an increase in inhibition is observed with concentration augmentation from 0 to 50 µg/mL. In addition, the biosynthesized AgNPs increased the feeding efficiency and improved the body weight and shell weight of Bombyx mori L. larvae, pupae, and cocoons. Overall, this integrated study found that AgNPs were effective in reducing Flacherie and Sappe disease caused by the consumption of bacterially contaminated mulberry leaves, thus improving the survival rate of Bombyx mori L. and eventually improving the crop yield through insights into the anti-biofilm activity of phytochemical-adorned AgNPs. © 2023 The Authors
17.
Yashavanthakumar, T. R.; Pinjare, S. L.; Raj, Cyril
Optimized Distributive Arithmetic-based Hardware Accelerator for Dual Tree Complex Wavelet Transform Computation Journal Article
In: IEIE Transactions on Smart Processing and Computing, vol. 12, pp. 38-47,, 2023, ISBN: 22875255 (ISSN), (0).
Abstract | Links | Tags: CCCIR
@article{118,
title = {Optimized Distributive Arithmetic-based Hardware Accelerator for Dual Tree Complex Wavelet Transform Computation},
author = {T. R. Yashavanthakumar and S. L. Pinjare and Cyril Raj},
doi = {10.5573/IEIESPC.2023.12.1.38},
isbn = {22875255 (ISSN)},
year = {2023},
date = {2023-01-01},
journal = {IEIE Transactions on Smart Processing and Computing},
volume = {12},
pages = {38-47,},
publisher = {Institute of Electronics Engineers of Korea},
abstract = {Hardware architectures for fast computation of complex wavelet transforms for image processing require optimized design approaches. The Dual Tree Complex Wavelet Transform (DTCWT) is twice as complex as the Discrete Wavelet Transform (DWT) and was designed while considering the distributive arithmetic (DA) algorithm, which is customized for the design of a 10-tap filter architecture. Redundancy in the filter coefficients was considered in optimizing the DA partial products, reducing the area resources by 97.65%. The reduced architecture was modeled in Verilog HDL and implemented on a Xilinx FPGA. The operating frequency is 312 MHz, and the power dissipation is less than 1 W. The proposed model is suitable for high-speed computation of DTCWT sub-bands on an FPGA platform. Copyrights © 2023 The Institute of Electronics and Information Engineers.},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {article}
}
Hardware architectures for fast computation of complex wavelet transforms for image processing require optimized design approaches. The Dual Tree Complex Wavelet Transform (DTCWT) is twice as complex as the Discrete Wavelet Transform (DWT) and was designed while considering the distributive arithmetic (DA) algorithm, which is customized for the design of a 10-tap filter architecture. Redundancy in the filter coefficients was considered in optimizing the DA partial products, reducing the area resources by 97.65%. The reduced architecture was modeled in Verilog HDL and implemented on a Xilinx FPGA. The operating frequency is 312 MHz, and the power dissipation is less than 1 W. The proposed model is suitable for high-speed computation of DTCWT sub-bands on an FPGA platform. Copyrights © 2023 The Institute of Electronics and Information Engineers.
18.
Anupama, J.; Raj, Cyril; Elangovan, K.
Arousal valence state analysis using DWT features for monitoring stress levels in young kids Proceedings
Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 978-166540118-0 (ISBN), (0).
Abstract | Links | Tags: CCCIR
@proceedings{148,
title = {Arousal valence state analysis using DWT features for monitoring stress levels in young kids},
author = {J. Anupama and Cyril Raj and K. Elangovan},
doi = {10.1109/ICSSIT53264.2022.9716229},
isbn = {978-166540118-0 (ISBN)},
year = {2022},
date = {2022-01-01},
journal = {Proceedings - 4th International Conference on Smart Systems and Inventive Technology, ICSSIT 2022},
pages = {1507-1518,},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Analysis of human stress with the help of biological brain waves is becoming an increasingly attractive research area. In this study, Discrete Wavelet Transform (DWT) is used for feature extraction of Electroencephalography (EEG) data for stress analysis on younger kids. EEG data are acquired at a sampling rate of 256 Hz from the Neuroskymindwave mobile reader with a single electrode and a reference electrode. Five test subjects were selected for this study from age 4 to 8. Three states of emotions are considered for this experiment viz., normal, happy, and task assigned. Valence state analysis is carried out using different filters, and the best filter was selected. In this study, arousal valence state analysis is carried out using various filters likedb2,bior 4.4, bior 2.2, haar. The DWT features extracted from each emotional state are compared and inferred that the power spectral density (PSD) levels are higher for the happy state in all the subjects. © 2022 IEEE},
note = {0},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {proceedings}
}
Analysis of human stress with the help of biological brain waves is becoming an increasingly attractive research area. In this study, Discrete Wavelet Transform (DWT) is used for feature extraction of Electroencephalography (EEG) data for stress analysis on younger kids. EEG data are acquired at a sampling rate of 256 Hz from the Neuroskymindwave mobile reader with a single electrode and a reference electrode. Five test subjects were selected for this study from age 4 to 8. Three states of emotions are considered for this experiment viz., normal, happy, and task assigned. Valence state analysis is carried out using different filters, and the best filter was selected. In this study, arousal valence state analysis is carried out using various filters likedb2,bior 4.4, bior 2.2, haar. The DWT features extracted from each emotional state are compared and inferred that the power spectral density (PSD) levels are higher for the happy state in all the subjects. © 2022 IEEE
19.
Nadzri, N. I.; Halin, D. S. C.; Abdullah, M. M.; Joseph, S.; Salleh, M. A. A.; Vizureanu, P.; Burduhos-Nergis, D. -P.; Sandu, A. V.
High-Entropy Alloy for Thin Film Application: A Review Journal Article
In: Coatings, vol. 12, pp. 1842+, 2022, ISBN: 20796412 (ISSN), (11).
Abstract | Links | Tags: CCCIR
@article{109,
title = {High-Entropy Alloy for Thin Film Application: A Review},
author = {N. I. Nadzri and D. S. C. Halin and M. M. Abdullah and S. Joseph and M. A. A. Salleh and P. Vizureanu and D. -P. Burduhos-Nergis and A. V. Sandu},
doi = {10.3390/coatings12121842},
isbn = {20796412 (ISSN)},
year = {2022},
date = {2022-01-01},
journal = {Coatings},
volume = {12},
pages = {1842+},
publisher = {MDPI},
abstract = {High entropy alloy (HEA) involves the addition of five or more elements into the materials system. This provides a multidimensional configuration space that is limitless in terms of its properties and functions. Some high-entropy alloys have already been shown to have superior properties over conventional alloys, especially the CoCr-based HEA materials. Better high-entropy alloy applications may be discovered, especially in micro- and nano-level structures, hence the development of thin film/coating -based HEA materials. Therefore, in this review paper, we are aiming to provide recent studies on the thin film/coating-based high-entropy alloy on fundamental issues related to methods of preparation, phase formation and mechanical properties. We found that sputtering has been extensively used to grow thin-film-based HEAs as it allowed parameters to be controlled with homogeneous growth. The evolution from bulk to thin samples can also be observed with the mechanical properties has exceeded the bulk-based HEA expectations, which are high hardness, better interfacial bonding and tribological behaviour and higher corrosion resistant. © 2022 by the authors.},
note = {11},
keywords = {CCCIR},
pubstate = {published},
tppubtype = {article}
}
High entropy alloy (HEA) involves the addition of five or more elements into the materials system. This provides a multidimensional configuration space that is limitless in terms of its properties and functions. Some high-entropy alloys have already been shown to have superior properties over conventional alloys, especially the CoCr-based HEA materials. Better high-entropy alloy applications may be discovered, especially in micro- and nano-level structures, hence the development of thin film/coating -based HEA materials. Therefore, in this review paper, we are aiming to provide recent studies on the thin film/coating-based high-entropy alloy on fundamental issues related to methods of preparation, phase formation and mechanical properties. We found that sputtering has been extensively used to grow thin-film-based HEAs as it allowed parameters to be controlled with homogeneous growth. The evolution from bulk to thin samples can also be observed with the mechanical properties has exceeded the bulk-based HEA expectations, which are high hardness, better interfacial bonding and tribological behaviour and higher corrosion resistant. © 2022 by the authors.
