Classifying Indian Medicinal Leaf Species Using LCFN-BRNN Model

( Kiruba Raji I ),( Thyagharajan K. K ),( Vignesh T ),( Kalaiarasi G ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.10

Indian herbal plants are used in agriculture and in the food, cosmetics, and pharmaceutical industries. Laboratory-based tests are routinely used to identify and classify similar herb species by analyzing their internal cell structures. In this paper, we have applied computer vision techniques to do the same. The original leaf image was preprocessed using the Chan-Vese active contour segmentation algorithm to efface the background from the image by setting the contraction bias as (v) -1 and smoothing factor (μ) as 0.5, and bringing the initial contour close to the image boundary. Thereafter the segmented grayscale image was fed to a leaky capacitance fired neuron model (LCFN), which differentiates between similar herbs by combining different groups of pixels in the leaf image. The LFCN’s decay constant (f), decay constant (g) and threshold (h) parameters were empirically assigned as 0.7, 0.6 and h=18 to generate the 1D feature vector. The LCFN time sequence identified the internal leaf structure at different iterations. Our proposed framework was tested against newly collected herbal species of natural images, geometrically variant images in terms of size, orientation and position. The 1D sequence and shape features of aloe, betel, Indian borage, bittergourd, grape, insulin herb, guava, mango, nilavembu, nithiyakalyani, sweet basil and pomegranate were fed into the 5-fold Bayesian regularization neural network (BRNN), K-nearest neighbors (KNN), support vector machine (SVM), and ensemble classifier to obtain the highest classification accuracy of 91.19%.

Visible light assisted photocatalytic performance of Ni and Th co-doped ZnO nanoparticles for the degradation of methylene blue dye

K. Vignesh,M. Rajarajan,A. Suganthi 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5

Nickel (Ni) and thorium (Th) co-doped zinc oxide (ZnO) nanoparticles were prepared by the coprecipitation method. The synthesized nanoparticles were characterized using UV–visible diffuse reflectance spectroscopy (UV–vis DRS), X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron spectroscopy (TEM), energy dispersive X-ray spectroscopy (EDX) and X-ray photoelectron spectroscopy (XPS) techniques. The photocatalytic activity of the prepared catalysts was evaluated by the degradation of methylene blue (MB) dye under visible light irradiation. XRD and SEM results revealed that Ni–Th–ZnO has a hexagonal and rods like morphology with an average crystallite size of 30 nm. Ni–Th–ZnO possesses excellent photocatalytic activity for the degradation of MB when compared to that of Ni–ZnO, Th–ZnO, ZnO and TiO2. The photocatalytic activity of Ni–Th–ZnO is obviously affected by the reaction parameters. The maximum MB degradation (93% with 70% COD removal) was achieved with Ni–Th–ZnO concentration of 0.375 g/L, initial MB concentration of 1.5 mM, pH 10 and irradiation time of 180 min. A possible photocatalytic mechanism has also been proposed. Moreover, the photocatalyst could be reused for four times without remarkable loss of its activity.

Fabrication of CdS and CuWO4 modified TiO2 nanoparticles and its photocatalytic activity under visible light irradiation

K. Vignesh,A. Suganthi,M. Rajarajan,R. Priyanka,R. Hariharan 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.2

CdS and CuWO4 modified TiO2 nanoparticles (CdS–CuWO4-TiO2) were prepared by the chemicalimpregnation method. The as-prepared nanoparticles were characterized using UV–visible-diffusereflectance spectroscopy (UV–vis-DRS), powder X-ray diffraction (XRD), scanning electron microscopy(SEM), transmission electron microscopy (TEM), energy dispersive X-ray spectroscopy (EDS) and B.E.T. surface area analysis techniques. The photocatalytic activity was evaluated based on the degradation of adye (eosin-Y) and inactivation of a bacterium (Pseudomonas aeruginosa). The results revealed that CdS–CuWO4-TiO2 showed high photocatalytic activity over CdS-TiO2, CuWO4-TiO2 and TiO2. Moreover thereusability and stability of the photocatalyst for the degradation of eosin-Y was also studied.

Meso-porous ZnO nano-triangles @ graphitic-C₃N₄ nano-foils: Fabrication and Recyclable photocatalytic activity

Vignesh, K.,Kang, S.,Kwak, B.S.,Kang, M. Elsevier Science B.V 2015 Separation and purification technology Vol.147 No.-

Meso-porous ZnO nano-triangles @ g-C<SUB>3</SUB>N<SUB>4</SUB> nano-foils (ZnO-ntχ-C<SUB>3</SUB>N<SUB>4</SUB>) was synthesized through a sono-chemical impregnation method. The photocatalytic activity was tested for the degradation of rhodamine-B (Rh-B) dye under simulated solar light irradiation. The concentration of g-C<SUB>3</SUB>N<SUB>4</SUB> was found to be significant on the photocatalytic efficiency of ZnO-ntχ-C<SUB>3</SUB>N<SUB>4</SUB>. Compared to pure ZnO-nt and g-C<SUB>3</SUB>N<SUB>4</SUB>, the photocatalytic activity of ZnO-ntχ-C<SUB>3</SUB>N<SUB>4</SUB> was greatly improved due to the synergistic effect. The photocatalyst of ZnO-ntχ-C<SUB>3</SUB>N<SUB>4</SUB> (20%) exhibited 100% photocatalytic activity within 60min. The recycling results also demonstrated that the photo-deactivation of ZnO-nt was completely arrested by g-C<SUB>3</SUB>N<SUB>4</SUB> modification. A possible photocatalytic mechanism was proposed for the enhanced activity of ZnO-ntχ-C<SUB>3</SUB>N<SUB>4</SUB>. The outcome of this research work was also compared with previously reported catalysts. The results of this present work could be used for the application dye waste water treatment under solar light exposure.

Autocorrelation of gradients based violence detection in surveillance videos

Deepak K.,Vignesh L.K.P.,Chandrakala S. 한국통신학회 2020 ICT Express Vol.6 No.3

Automated monitoring of videos is becoming mandatory due to its widespread applications over public and private domains. Especially, research over detecting anomalous human behavior in crowded scenes has created much attention among computer vision researchers. Understanding patterns in crowded scenes is always challenging due to the rapid movement of the crowd, occlusions and cluttered backgrounds. In this work, we explore spatio-temporal autocorrelation of gradient-based features to efficiently recognize violent activities in crowded scenes. A discriminative classifier is then used to recognize violent actions in videos. Experimental results have shown improved performance of the proposed approach when compared to existing state-of-art-approaches.

Exposure to Atmospheric Particulates and Associated Respirable Deposition Dose to Street Vendors at the Residential and Commercial Sites in Dehradun City

Vignesh Prabhu,Sunil K. Gupta,Sandeep Madhwal,Vijay Shridhar 한국산업안전보건공단 산업안전보건연구원 2019 Safety and health at work Vol.10 No.2

Background: Street vendors spend relatively more time near roadways and are vulnerable to air pollution related health disorders. However, there is limited information on the quality of the air they breathe. The objectives of this present study were to calculate the mass concentration of atmospheric particulate matter (PM) in eight size fractions (PM0.4e0.7, PM0.7e1.1, PM1.1e2.1, PM2.1e3.3, PM3.3e4.7, PM4.7e5.8, PM5.8e9.0, and PM9.0-e0mm) at commercial (CML) and residential site (RSL) in Dehradun city from November 2015 to May 2016. To estimate the corresponding respiratory deposition dose (RDDs) in alveolar (AL), tracheobronchial (TB), and head airway (HD) region on street vendors working at CML and RSL. To find the association of atmospheric PM with RDDs and the incidence of respiratory related disorders among street vendors. Methods: Andersen cascade impactor was employed for calculating the PM mass concentration. Questionnaire based health survey among street vendors were carried out through personal interview. Results: A significant difference (p < 0.05; t-test) between the mean PM0.4-10mm mass concentration at CML and RSL was observed with (mean SD) 84.05 14.5 and 77.23 11.7 mgm3, respectively. RDDs in AL, TB and HD region at CML was observed to be 9.9, 7.8, and 7.3% higher than at RSL, respectively. Health survey revealed 1.62, 0.96, 0.04, and 0.57 times higher incidence of cold, cough, breathlessness, and chest pain, respectively with street vendors at CML compared to RSL. Conclusion: The site characteristics plays a major role in the respiratory health status of street vendors at Dehradun.

Exposure to Atmospheric Particulates and Associated Respirable Deposition Dose to Street Vendors at the Residential and Commercial Sites in Dehradun City

Prabhu, Vignesh,Gupta, Sunil K.,Madhwal, Sandeep,Shridhar, Vijay Occupational Safety and Health Research Institute 2019 Safety and health at work Vol.10 No.2

Background: Street vendors spend relatively more time near roadways and are vulnerable to air pollution related health disorders. However, there is limited information on the quality of the air they breathe. The objectives of this present study were to calculate the mass concentration of atmospheric particulate matter (PM) in eight size fractions ($PM_{0.4-0.7}$, $PM_{0.7-1.1}$, $PM_{1.1-2.1}$, $PM_{2.1-3.3}$, $PM_{3.3-4.7}$, $PM_{4.7-5.8}$, $PM_{5.8-9.0}$, and $PM_{9.0--0{\mu}m}$) at commercial (CML) and residential site (RSL) in Dehradun city from November 2015 to May 2016. To estimate the corresponding respiratory deposition dose (RDDs) in alveolar (AL), tracheobronchial (TB), and head airway (HD) region on street vendors working at CML and RSL. To find the association of atmospheric PM with RDDs and the incidence of respiratory related disorders among street vendors. Methods: Andersen cascade impactor was employed for calculating the PM mass concentration. Questionnaire based health survey among street vendors were carried out through personal interview. Results: A significant difference (p < 0.05; t-test) between the mean $PM_{0.4-10{\mu}m}$ mass concentration at CML and RSL was observed with ($mean{\pm}SD$) $84.05{\pm}14.5$ and $77.23{\pm}11.7{\mu}g\;m^{-3}$, respectively. RDDs in AL, TB and HD region at CML was observed to be 9.9, 7.8, and 7.3% higher than at RSL, respectively. Health survey revealed 1.62, 0.96, 0.04, and 0.57 times higher incidence of cold, cough, breathlessness, and chest pain, respectively with street vendors at CML compared to RSL. Conclusion: The site characteristics plays a major role in the respiratory health status of street vendors at Dehradun.

Studies on weldment performance of Ti/Al dissimilar sheet metal joints using laser beam welding

Kalaiselvan, K.,Elango, A.,Nagarajan, N.M.,Mathiazhagan, N.,Vignesh, Kannan Techno-Press 2018 Coupled systems mechanics Vol.7 No.5

Laser beam welding is more advantageous compared to conventional methods. Titanium/Aluminium dissimilar alloy thin sheet metals are difficult to weld due to large difference in melting point. The performance of the weldment depends upon interlayer formation and distribution of intermetallics. During welding, aluminium gets lost at the temperature below the melting point of titanium. Therefore, it is needed to improve a new metal joining techniques between these two alloys. The present work is carried for welding TI6AL4V and AA2024 alloy by using Nd:YAG Pulsed laser welding unit. The performance of the butt welded interlayer structures are discussed in detail using hardness test and SEM. Test results reveal that interlayer fracture is caused near aluminium side due to low strength at the weld joint.

Application of Nanoparticles in Food Preservation and Food Processing

Prakash J.,Vignesh K.,Anusuya T.,Kalaivani T.,Ramachandran C.,Sudha Rani R.,RUBAB MOMNA,KHAN IMRAN,Fazle Elahi,DeogHwanOh,DevanandVenkatasubbu G. 한국식품위생안전성학회 2019 한국식품위생안전성학회지 Vol.34 No.4

This study focuses on the role of nanotechnology in the field of food industries. Bioactive components with antimicrobial activity against food pathogens are encapsulated into nanoparticles (NPs) to improve and extend their efficiency in food preservation. However, these NPs should be biocompatible and nontoxic for humans.Advancement in this field has resulted in the development of NPs for food packaging in some industries. The most commonly used group of NPs in the food industry is metal oxide. As metal oxide NPs such as zinc oxide and titanium dioxide exhibit antimicrobial activity in food materials, the NPs can be used for food preservation with enhanced functional properties. The application and effects of nanotechnology in correlation with the nutritional and sensory properties of foods were briefly discussed with a few insights into safety regulations on nano-based food formulation and preservation.

Optimization of RSW process parameters on tensile strength by taguchi method

S. Raja,K. Vignesh,M. Ravikumar,R. Sanjeevi 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.1

The aim of this research is to improve the Resistance Spot Welding (RSW) process characteristics of AISI SS316L joints ontensile shear load (TSL). The RSW process parameters like electrode diameter of 6mm to 8mm, welding current of 7 kA to9 kA, heating cycle periods of 7 to 9 are selected. The 2 mm sheet thickness has been selected for the welding trials and tensileshear test has been involved for all the trials for the purpose of identifying the TSL. Taguchi optimization technique is usedfor design the experiment with the help of Minitab software. It is observed that maximum TSL of 16 kN is observed by settingthe parameters at 6mm electrode diameter, 9 kA welding current and heating cycles of 9. The ANOVA table confirms thatwelding current majorly affects the quality of weld and all the trials are observed with interfacial failure.