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Prasannadevi R.,Vigneshwaran J.,Suthakaran S.,Jose Sujin P.,Dhanapandian S.,Krishnakumar N. 한국물리학회 2022 Current Applied Physics Vol.43 No.-
The present study demonstrates the bio-inspired synthesis of AuNPs/RGO nanocomposites using grape seed proanthocyanidin (GSP) towards photocatalysis and supercapacitor applications. The obtained nanocomposites were characterized using various analytical studies, which confirms the AuNPs are successfully decorated on the graphene nanosheets. The photocatalytic performance of AuNPs/RGO nanocomposites exhibit higher photocatalytic activity (97% and 88% for MB and MO) in comparison with GO and RGO after 60 min of irradiation. Furthermore, the electrochemical supercapactive performances of the AuNPs/RGO nanocomposites were studied by electrochemical techniques, which disclosed that the AuNPs/RGO nanocomposites possess a better specific capacitance (370 F g-1) compared with RGO nanosheets (67 F g-1) at a potential scan rate of 10 mV s-1. These improved performances are associated with a higher specific surface area and hindrance of photo - generated charge carrier recombination in AuNPs/RGO nanosheets.These synergistic performance may further evinced that the biogenic nanocomposites is a promising candidate for photocatalysis and supercapacitor applications.
Inhibitors of Melanogenesis: An Updated Review
Pillaiyar, Thanigaimalai,Namasivayam, Vigneshwaran,Manickam, Manoj,Jung, Sang-Hun American Chemical Society 2018 Journal of medicinal chemistry Vol.61 No.17
<P>Melanins are pigment molecules that determine the skin, eye, and hair color of the human subject to its amount, quality, and distribution. Melanocytes synthesize melanin and provide epidermal protection from various stimuli, such as harmful ultraviolet radiation, through the complex process called melanogenesis. However, serious dermatological problems occur when there is excessive production of melanin in different parts of the human body. These include freckles, melasma, senile lentigo, pigmented acne scars, and cancer. Therefore, controlling the production of melanin is an important approach for the treatment of pigmentation related disorderes. In this Perspective, we focus on the inhibitors of melanogenesis that directly/indirectly target a key enzyme tyrosinase as well as its associated signaling pathways.</P> [FIG OMISSION]</BR>
Pillaiyar, Thanigaimalai,Manickam, Manoj,Namasivayam, Vigneshwaran,Hayashi, Yoshio,Jung, Sang-Hun American Chemical Society 2016 Journal of medicinal chemistry Vol.59 No.14
<P>Severe acute respiratory syndrome (SARS) is caused by a newly emerged coronavirus that infected more than 8000 individuals and resulted in more than 800 (10-15%) fatalities in 2003. The causative agent of SARS has been identified as a novel human coronavirus (SARS-CoV), and its viral protease, SARS-CoV 3CL<SUP>pro</SUP>, has been shown to be essential for replication and has hence been recognized as a potent drug target for SARS infection. Currently, there is no effective treatment for this epidemic despite the intensive research that has been undertaken since 2003 (over 3500 publications). This perspective focuses on the status of various efficacious anti-SARS-CoV 3CL<SUP>pro</SUP> chemotherapies discovered during the last 12 years (2003-2015) from all sources, including laboratory synthetic methods, natural products, and virtual screening. We describe here mainly peptidomimetic and small molecule inhibitors of SARS-CoV 3CL<SUP>pro</SUP>. Attempts have been made to provide a complete description of the structural features and binding modes of these inhibitors under many conditions.</P> [FIG OMISSION]</BR>
R.V. Maheswari,P. Subburaj,B. Vigneshwaran,M. Willjuice Iruthayarajan 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.2
Partial discharge (PD) measurements have emerged as a dominant investigative tool for condition monitoring of insulation in high voltage equipment. But the major problem behind them the PD signal is severely polluted by several noises like White noise, Random noise, Discrete Spectral Interferences (DSI) and the challenge lies with removing these noise from the onsite PD data effectively which leads to preserving the signal for feature extraction. Accordingly the paper is mainly classified into two parts. In first part the PD signal is artificially simulated and mixed with white noise. In second part the PD is measured then it is subjected to the proposed denoising techniques namely Translation Invariant Wavelet Transform (TIWT). The proposed TIWT method remains the edge of the original signal efficiently. Additionally TIWT based denoising is used to suppress Pseudo Gibbs phenomenon. In this paper an attempt has been made to review the methodology of denoising the PD signals and shows that the proposed denoising method results are better when compared to other wavelet-based approaches like Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), by evaluating five different parameters like, Signal to noise ratio, Cross-correlation coefficient, Pulse amplitude distortion, Mean square error, Reduction in noise level.
Maheswari, R.V.,Subburaj, P.,Vigneshwaran, B.,Iruthayarajan, M. Willjuice The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.2
Partial discharge (PD) measurements have emerged as a dominant investigative tool for condition monitoring of insulation in high voltage equipment. But the major problem behind them the PD signal is severely polluted by several noises like White noise, Random noise, Discrete Spectral Interferences (DSI) and the challenge lies with removing these noise from the onsite PD data effectively which leads to preserving the signal for feature extraction. Accordingly the paper is mainly classified into two parts. In first part the PD signal is artificially simulated and mixed with white noise. In second part the PD is measured then it is subjected to the proposed denoising techniques namely Translation Invariant Wavelet Transform (TIWT). The proposed TIWT method remains the edge of the original signal efficiently. Additionally TIWT based denoising is used to suppress Pseudo Gibbs phenomenon. In this paper an attempt has been made to review the methodology of denoising the PD signals and shows that the proposed denoising method results are better when compared to other wavelet-based approaches like Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), by evaluating five different parameters like, Signal to noise ratio, Cross-correlation coefficient, Pulse amplitude distortion, Mean square error, Reduction in noise level.
Thambiannan Senthilkumar,Ashok K Bharimalla,Chandrasekaran Sundaramoorthy,Prashantkumar G Patil,Nadanathangam Vigneshwaran 한국섬유공학회 2020 Fibers and polymers Vol.21 No.9
The reinforcing potential of coconut fibers, fibrillated by mechanical refining process, in an epoxy matrix wasevaluated. The coconut fiber was fibrillated by a conical refiner for different duration (10 to 40 min) and subjected tochemical compositional analysis, size distribution by microscopy and crystallinity by XRD. The fibrillation by mechanicalrefining process did not affect the crystallinity of coconut fibers. But, cellulose content increased due to the removal of ligninduring refining process. The fibrillated coconut fiber (FCF) was used to reinforce epoxy resin by casting process. The meltingtemperature, as analyzed by DSC, of epoxy composites increased from 294.75 °C (epoxy alone) to 338.96 °C (raw coconutfiber, RCF) and a maximum of 353.41 °C for 20 min processed FCF reinforced composites. The surface resistivity of epoxycontrol increased from 1.32 e10 Ω to 22.6 e10 Ω after reinforcing with control coconut fiber. But, the fibrillation processreduced the surface resistivity due to uniform distribution of FCF in the epoxy matrix avoiding the formation of air voids. Similar trend was observed for volume resistivity also. The damage force and tensile load increased significantly for the FCFreinforced composites, 61 % and 12 %, respectively, when compared to the RCF reinforced composites. Hence, as analternative of conventional alkali treatment, fibrillation of coconut fibers could significantly improve the performance ofepoxy composites.
Prediction of Surface Roughness using Spectral Analysis and Image Comparison of Audio Signals
R. Panneer,S. P. Harisubramanyabalaji,C. A. Sribalaji,A. Vivek,G. Vigneshwaran 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.6
The aim of this work is to design an off-line system, method and experimental set-up for predicting surface roughness (Ra) of metal surfaces with the help of audio signals. The frictional contact between a metal surface and sharp pencil like scratching tool will produce audio signals which vary based on the roughness of the surface. The samples considered to design and validate the concept are work pieces machined with metal cutting processes such as Turning and Grinding. Several audio signals are generated from various types of metal surfaces produced by these processes after the completion of the machining process away from the machining area in an enclosed chamber. The audio waves are captured with the help of a microphone fixed inside the chamber. These audio signals are processed to generate the surface pattern of the relevant surface. The audio signals are then converted to spectrogram and normalized histogram plots with the help of MATLAB, based on which the roughness of the surfaces is predicted. An experimental set-up is designed which provides a sound-proof environment to capture and record the audio signals. The proposed system, method and set-up are validated with the actual surface roughness of the chosen surfaces measured with the help of a surface roughness measurement instrument.