Revisiting the Circuit of an Operational Amplifier Notch Filter S. C. Dutta Roy, Y. V. Joshi IETE Journal of Research, 2024 The circuit of an operational amplifier notch filter, using a simulated inductance, is revisited, to reveal its versatility in that, by suitable design and choice of the output point, one can obtain all kinds of filters – all-pass, low-pass, high-pass, band-pass, and band-stop – null as well as notch. Detailed analysis is followed by simulation, to bring out the important characteristics, and considerations in design for a prescribed specification.
On Some Passive Dual Input Null Networks S. C. Dutta Roy, Yashwant V. Joshi, R. K. Patney IETE Journal of Research, 2024 AbstractThis paper deals with dual input networks which do not use any active device. Four networks are considered, including the familiar bridged-T RLC network and the parallel-T RC network, and the not so familiar Hall's second network and the three section bridged-T RC network. All of them are thoroughly analyzed, expressions for the transfer functions are given, and the relevant characteristic parameters are recorded. Simulations are carried out to display the characteristics, and observations are made. Conclusions are given at the end.KEYWORDS: Dual inputNull networkNotch networkPassive networksSimulation ACKNOWLEDGEMENTThe authors thank Sumantra Dutta Roy for his help in the preparation of this paper.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsS. C. Dutta RoyS C Dutta Roy received his bachelors, masters and doctorate degrees from the Calcutta University and served the River Research Institute, West Bengal, the University of Kalyani and the University of Minnesota, USA, before joining the Indian Institute of Technology Delhi (IITD). He was with the IITD for more than four decades in various capacities – first, as professor of electrical engineering, Head of the Department and Dean of Undergraduate Studies, and after superannuation, as IITD Emeritus Fellow, Indian National Science Academy (INSA) Senior Scientist and INSA Honorary Scientist. He has held visiting professorships at the University of Leeds, UK and the Iowa State University, USA. Currently, he is an INSA Honorary Scientist working from home with active research interests in circuits, systems and signal processing. Professor Dutta Roy is the recipient of many awards and recognitions, including the Shanti Swarup Bhatnagar Prize, Vikram Sarabhai Award, Pandit Jawaharlal Nehru Award, Fellowship of the IEEE and of all the national academies in science and engineering, and Distinguished Fellowship of the IETE. What he values most, however, is the love and appreciation of his large number of direct as well as virtual (through NPTEL lectures on the internet) students and professional colleagues spread throughout the world. Besides the subjects of his research interests, he maintains a deep interest in Indian Classical Music. Corresponding author. Email: s.c.dutta.roy@gmail.comYashwant V. JoshiY V Joshi was educated at the Department of Electronics and Telecommunication Engineering, SGGS Institute of Engineering and Technology, Nanded, obtaining his BE degree in 1986, and the ME degree in 1991. He joined this institute as a lecturer in 1986, and was promoted to assistant professorship in 1993, and professorship in 2001. In between, he obtained his PhD degree from IIT Delhi in 1998 in digital signal processing. Joshi also worked at the SGGS Institute in various capacities such as head of the department (2002–2004), dean (academics) (2004–2006), dean (resource mobilisation)(2007-2008), registrar (2014–2016) and director (2018–2023). On lien from the institute, he also worked as the director, Walchand College of Engineering, Sangli (2009–2013). He teaches courses of signals and systems, digital signal processing, modern digital design using Verilog, communication systems, data structures, research methodology, network theory, C-programming, etc. at both UG and PG levels. He supervises students for MTech and PhD in signal processing and allied areas. He has also conducted several short duration faculty/students development programs at the Institute. He has published 35 international journal papers and more than 50 national and international conference papers. He visited UK (2020), USA (2016), Dubai (2015), Malaysia and Singapore (2013) and China and Hongkong (2016) for Attending workshops and presenting papers in international conferences. He is Fellow of the Institution of Engineers (India), and of the IETE (India) and is a life member of the ISTE. Email: yvjoshi@sggs.ac.in
PRESENT SCENARIO, CHALLENGES, FUTURE PROSPECTS OF RENEWABLE ENERGY IN INDIA Advances in Renewable Energy Engineering, 2024
Machine learning-based approach for segmentation of intervertebral disc degeneration from lumbar section of spine using MRI images Jayashri V. Shinde, Yashwant V. Joshi, Ramchandra R. Manthalkar, Joshi Bio Algorithms and Med Systems, 2022 Objectives Intervertebral disc segmentation is one of the methods to diagnose spinal disease through the degeneration in asymptomatic and symptomatic patients. Even though numerous intervertebral disc segmentation techniques are available, classifying the grades in the intervertebral disc is a hectic challenge in the existing disc segmentation methods. Thus, an effective Whale Spine-Generative Adversarial Network (WSpine-GAN) method is proposed to segment the intervertebral disc for effective grade classification. Methods The proposed WSpine-GAN method effectively performs the disc segmentation, wherein the weights of Spine-GAN are optimally tuned using Whale Optimization Algorithm (WOA). Then, the refined disc features, such as pixel-based features and the connectivity features are extracted. Finally, the K-Nearest Neighbor (KNN) classifier based on the pfirrmann’s grading system performs the grade classification. Results The implementation of the grade classification strategy based on the proposed WSpine-GAN and KNN is performed using the real-time database, and the performance based on the metrics yielded the accuracy, true positive rate (TPR), and false positive rate (FPR) values of 97.778, 97.83, and 0.586% for the training percentage and 92.382, 90.580, and 1.972% for the K-fold value. Conclusions The proposed WSpine-GAN method effectively performs the disc segmentation by integrating the Spine-GANmethod and WOA. Here, the spinal cord images are segmented using the proposed WSpine-GAN method by tuning the weights optimally to enhance the performance of the disc segmentation.
Efficient public key authentication in MANET V. R. Ghorpade, Y. V. Joshi, R. R. Manthalkar Proceedings of the International Conference on Advances in Computing Communication and Control Icac3 09, 2009