Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item Preparation and characterization of flexible PVDF based polymer film for energy harvesting applications(Elsevier Ltd, 2019) Naik, R.; Rao, S.T.In this work, Zirconium oxide based PVDF nanocomposite films are fabricated by using solution casting method with varying zirconium oxide fractions (0, 1, 5 wt%). The crystalline structure of prepared nanocomposite films is studied by X-Ray diffraction (X-RD) and FTIR methods. To check surface morphology, SEM study is carried out. From this study, it is observed that zirconium filler is well dispersed in the PVDF matrix. The piezoelectric performance of the prepared film is analyzed. From this analysis, maximum output voltage of 0.61V is observed during mechanically finger tapping and releasing condition for 5% of zirconium filler content film. © 2019 Elsevier Ltd. All rights reserved.Item Optimum injection timings for bioethanol-diesel blends and its effect on tail pipe emission in common rail diesel engine(American Institute of Physics Inc., 2021) Lamani, V.T.; Baliga M, A.U.; Yadav, A.K.; Kumar, G.N.; Naik, R.; Arya, B.computational study of a CRDI engine is carried out to examine the performance and tailpipe emissions the with bioethanol blended diesel fuel for various injection timing. The simulation ponders various bioethanol diesel blends (0-30 %), and for several injection timings from 21°- 33° BTDC in the interval of 3°CA, at ∼90MPa injection pressure. The k-ς-f model is used to simulate turbulence inside the cylinder. Combustion study is analyses is carried by using three zone extended coherent flame model. Equivalence ratio for all the cases of blends is kept constant and equal to the case of neat diesel (E0). Optimum injection timing (IT) is obtained for maximum indicated thermal efficiency (ITE) for bioethanol diesel blends operation. The maximum indicated thermal efficiency for E0, E10, E20 and E30 is found at 27°, 27°, 30° and 33° IT respectively. Significant increase in ITE of ∼5% is observed in the case of E30 compared to diesel (E0). Effect of IT on tail pipe emissions such as NO, soot and CO formation is also obtained. The results indicate that ignition delay increases and mean soot formation decreases with advancing the IT's. For all advanced IT higher in-cylinder peak pressure and temperature are observed. Obtained results are validated with available literature data and found a good agreement. © 2021 Author(s).Item Blindness (Diabetic Retinopathy) Severity Scale Detection(Institute of Electrical and Electronics Engineers Inc., 2021) Bygari, R.; Naik, R.; Uday Kumar, P.Diabetic retinopathy (DR) is a severe complication of diabetes that can cause permanent blindness. Timely diagnosis and treatment of DR are critical to avoid total loss of vision. Manual diagnosis is time consuming and error-prone. In this paper, we propose a novel deep learning based method for automatic screening of retinal fundus images to detect and classify DR based on the severity. The method uses a dual-path configuration of deep neural networks to achieve the objective. In the first step, a modified UNet++ based retinal vessel segmentation is used to create a fundus image that emphasises elements like haemorrhages, cotton wool spots, and exudates that are vital to identify the DR stages. Subsequently, two convolutional neural networks (CNN) classifiers take the original image and the newly created fundus image respectively as inputs and identify the severity of DR on a scale of 0 to 4. These two scores are then passed through a shallow neural network classifier (ANN) to predict the final DR stage. The public datasets STARE, DRIVE, CHASE DB1, and APTOS are used for training and evaluation. Our method achieves an accuracy of 94.80% and Quadratic Weighted Kappa (QWK) score of 0.9254, and outperform many state-of-the-art methods. © 2021 IEEE.