Faculty Publications
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Item This paper presents a design & implementation methodology for FPGA based MIL-STD-1553 Remote Terminal Sub-System using DDC's BU-61580 device. The interesting part of this paper is that it presents a design of non-processor remote terminal sub-system. The glue logic is put on one FPGA of 176 pins which initializes the BU-61580 in RT mode at power-on. The FPGA design was done using Viewlogic & Actel packages. The simulation has shown the correct results which was then followed by the implementation. In this paper, the design is presented for 9 sensors among which 5 are analog and 4 are digital. For the purpose of testing the circuit, the analog & digital sensors are simulated through the computer.(ISRO Satellite Centre, Design and implementation of FPGA based non-processor MIL-STD-1553 remote terminal sub-system using DDC's BU-61580) Bhagyalakshmi, K.; Ramachandra, G.; Agrawal, V.K.; Subbanna Bhat, P.; Philar, S.R.1999Item Effects of energy price rise on investment: Firm level evidence from Indian manufacturing sector(Elsevier, 2015) Sadath, A.C.; Rajesh Acharya, H.R.This paper analyses the effects of the rising prices of energy products on the investment of a large panel of manufacturing firms in India during 1993-2013. The prime motivation behind this study is the absence of an empirical study into this research issue exclusively on Indian economy. The empirical results obtained by estimating an Error Correction Model (ECM) using Generalized Method of Moments (GMM) show that energy price rise has negative effect on the investment of firms in the manufacturing sector. The negative effect is transmitted to the firm's investment through both demand-side and supply-side factors. The transmission also depends upon factors such as the energy intensity of production. The results also show that the sales-growth-investment relationship becomes weak in the face of the rising prices of the energy which could be due to the cautious approach to investment adopted by the firms. Therefore, it calls for the attention of the policy makers to evolve a comprehensive energy-policy to ensure continuous supply of energy at affordable prices to the manufacturers. © 2015 Elsevier B.V.Item Implications of energy subsidy reform in India(Elsevier Ltd, 2017) Rajesh Acharya, R.H.; Sadath, A.C.This paper analyses welfare impact of energy subsidy reform in India based on the data from 1970? 71 to 2014? 15. To this end, Auto Regressive Distributed Lag (ARDL) model and Error Correction Model (ECM) have been estimated to quantify the short-run and long-run price and the income elasticity of various energy products. The results show that the price elasticity of demand for all fossil fuels is low, but the respective income elasticity is higher. Therefore, an increase in the general price level caused by the subsidy reform will lead to the erosion of real income and will have related welfare implications in India. The results also reveal that energy expenditure will obviously increase and hence energy consumption will decline depending upon the extent of the withdrawal of subsidy. Therefore, policy makers in India, while undertaking further reforms, must ensure that the subsidy reaches to those who truly deserve, so that the socioeconomic casualty of reforms can be minimized along with achieving fiscal goals. © 2016 Elsevier LtdItem A Novel Approach for Asymmetric Quantum Error Correction With Syndrome Measurement(Institute of Electrical and Electronics Engineers Inc., 2022) Mummadi, M.; Rudra, B.Most of the quantum error correction methods are symmetric. Symmetric methods are implemented by considering the amplitude of bit flip(X) and phase flip(Z) errors as same. With the quantum experiments, it is observed that the amplitude of Z errors are more compared to X errors. Due to which the need of asymmetric error correction has increased. This paved a path for the development of asymmetric error correction methods. In this paper, we discussed the concept of asymmetric quantum error correction (AQEC) and proposed an efficient approach for AQEC with encoding, syndrome measurement and decoding operations with increased fidelity to 85.89% and reduced circuit depth to 48%. © 2013 IEEE.Item Performance analysis of a RIS-assisted RoFSO communication system over Malaga distribution for smart city applications(Optica Publishing Group (formerly OSA), 2023) Kumar, A.; Krishnan, P.; Raj, A.A.B.Radio over free space optics (RoFSO) is one of the potential technologies that can satisfy the requirements of 5G services in a smart city. However, as RoFSO is line-of-sight (LOS) communication, one of its limitations is the occurrence of a skip zone in the targeted areas. In this work, a reconfigurable intelligent surface (RIS) is proposed as the solution to overcome this connection difficulty, which prevents signal blocking by generating LOS connections. These RIS modules extend the communication channel coverage, making it more intelligent and controllable. The performance analysis based on outage probability, ergodic channel capacity, and bit error rate has been performed using heterodyne detection. Malaga distribution has been used to model atmospheric turbulence. The exact closed-form expressions of the probability density function and cumulative distribution function of the end-to-end signal-to-noise ratio are derived. Exploiting these derived statistics, system performance is investigated through the ergodic channel capacity, outage probability, and average bit error rate for M-ary quadrature amplitude modulation and two binary modulation schemes: non-coherent binary frequency-shift keying and coherent binary phase-shift keying. Numerical results are compared among different turbulence conditions, link lengths, and scattering errors. The results show that the proposed RIS-assisted RoFSO technology has the potential to be effective for 5G smart city applications. © 2023 Optica Publishing Group.Item InFLuCs: Irradiance Forecasting Through Reinforcement Learning Tuned Cascaded Regressors(IEEE Computer Society, 2024) Chandrasekar, A.; Ajeya, K.; Vinatha Urundady, U.Accurate prediction of solar irradiance is essential for optimizing renewable energy sources in distributed generation systems due to its significant impact on solar power generation. Despite notable advancements, the inherent variability of irradiance presents challenges for existing models. In this article, we introduce a novel approach for irradiance forecasting using a cascaded combination of regressors applied to transformed process variables. Our method utilizes a gradient-boosted decision tree as the primary regressor to generate initial predictions, which are subsequently refined by a support vector regressor acting as an error correction module. Notably, the secondary regressor's kernel, alongside other hyperparameters, is dynamically learned through reinforcement learning with an RNN-based controller. Evaluation results demonstrate that our prediction-correction framework achieves superior performance compared to state-of-the-art approaches, as indicated by RMSE, MAE, and text{R}^{2} score metrics. Thorough comparative analysis highlights the model's enhanced accuracy and its potential for precise irradiance forecasting. © 2005-2012 IEEE.Item SNR-Responsive Communication: Turbo Codes and BCH in a Dynamic HARQ Scheme for Enhanced Efficiency(Springer, 2025) Chintha, G.J.; Prathapa, C.S.S.H.; Namburi, Y.; Chandavarkar, B.R.Wireless communication systems face many challenges due to fluctuating channel conditions resulting in variable error rates and demands robust error management tactics. Traditional Automatic Repeat Request (ARQ) methods suffer from high communication overhead and latency and are inefficient in handling retransmissions. Although traditional Hybrid Automatic Repeat Request (HARQ) is effective, its widespread use is limited by high implementation costs. This underscores the need for adaptive systems that dynamically respond to changing channel conditions based on Signal-to-Noise ratio (SNR). This paper proposes the Dynamic HARQ (D-HARQ), which switches between ARQ, HARQ with Bose–Chaudhuri–Hocquenghem codes, and HARQ with turbo codes based on channel conditions during the transmission. Further, this paper incorporates a selective soft-combining technique by estimating the receiver end’s SNR. The main goal is to achieve the maximum possible throughput even at very low SNR values while maintaining optimal complexity. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.Item Characterization of the Adhesive Layer through Finite Element Modeling in Double Strap Joints and Validation Through Digital Image Correlation(Springer, 2025) Sahana, T.S.; Kaliveeran, V.; Raveesh, R.M.; Kundapura, S.The accurate measurement of strain on engineering structures is crucial for evaluating their performance and ensuring their structural integrity. Strain gauges are employed for this purpose, enabling to monitor mechanical deformations and stress distributions. The adhesive layer serves as a medium between the strain gauge and the material being tested. Changes in the adhesive layer can impact, and strain transfers between materials and strain gauges when subjected to different types of loading. The p study investigates the adhesive layer's role in strain gauge mounting on substrates through experiments, finite element analysis (FEA) and comparison of analytical model predictions (Volkersen and Tsai) with the experimental digital image correlation (DIC) results. Experiments are carried out for double strap joint samples and three-dimensional finite element analysis is carried out with aid of ANSYS software. FEA model is used to simulate the adhesive layer's mechanical behavior, taking into account material properties and boundary conditions determined through experimental characterization. DIC data are used to understand the strain transfer mechanism of the adhesive layer in strain gauge mounting. The findings from both the FEA and experimental studies highlight the significance of the adhesive layer's properties, in obtaining precise strain measurements and strain transfer mechanisms. A thorough comparison of FEA predictions with experimental results allows for identifying critical factors that influence the accuracy of strain gauge measurements using DIC adhesive layers. This study offers guidance for choosing suitable adhesive materials and ideal mounting configurations for particular application. © ASM International 2024.