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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Indonesian Capital Market Review
Mishra, Alok Kumar
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering

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Causal Nexus between Stock Price, Demand for Money, Interest Rate, Foreign Institutional Investment, and Exchange Rates in India: A Post Subprime Crisis Analysis Vyas, Iti; Prasad, Narayan; Mishra, Alok Kumar
Indonesian Capital Market Review Vol. 3, No. 2
Publisher : UI Scholars Hub

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Abstract

This paper makes an attempt to empirically examine the causal nexus between stock price, demand for money, interest rates, foreign institutional investment and exchange rates in India in the post subprime mortgage crisis period. The study employed Granger causality test, Vector Auto Regression and Johansen Maximum Likelihood procedure to examine the short run and long run dynamic interaction among the above mentioned variables for the period January 1993 to May 2009. The major indings of the study are: stock return affects exchange rate return, net foreign institutional investment and growth of demand for money. Growth of demand for money, in turn, affects interest rate. Interest rate is more affected by exchange rate return. Foreign institutional investment also affects interest rate. The co-integration test conirms that there does not exist any long run equilibrium relationship between stock return and exchange rate return
Teaching learning optimization technique FOPID controlled Cuk and SEPIC converter-based PF rectification Mishra, Alok Kumar; Das, Soumya Ranjan; Giri, Nimay Chandra; Routray, Sangram Kishore; Syam, Fathy Abdelaziz; Elwakil, Ehab S.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i1.pp311-320

Abstract

The foremost cause of harmonic contamination is the ample utilization of loads of non-linear type such as static power converters. Because of this load, the input power factor (PF) decreases heavily as they draw a current of non-sinusoidal in nature. This article gives a general presentation investigation of two PF rectification (PFR) converter (PFRC) geographies: Cuk type and single-ended primary-inductance converter or SEPIC type converter. The average current control (ACC) technique is utilized here. Notwithstanding, for control of output voltage, techniques like conventional proportional integral derivative controller (PIDC) or fractional order proportional integral derivative controller (FOPIDC) are used, and the gains of the controller are calculated using a novel teaching learning optimization technique (TLOT), considering integral time absolute error (ITAE). The analysis of both PFRC acted in Simulink/MATLAB and the estimated converters are studied under consistent and dynamic state conditions. The FOPIDC Cuk PFRC is providing 2.97% of THD compared to other converters.
Adaptive tilt acceleration derivative filter control based artificial pancreas for robust glucose regulation in type-I diabetes mellitus patient Dutta, Smitta Ranjan; Patra, Akshaya Kumar; Mishra, Alok Kumar; Agrawal, Ramachandra; Subudhi, Dillip Kumar; Satapathy, Lalit Mohan; Kar, Sanjeeb Kumar
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i6.pp5297-5313

Abstract

This study proposes an Aquila optimization–based tilt acceleration derivative filter (AO-TADF) controller for robust regulation of blood glucose (BG) levels in patients with type-I diabetes mellitus (TIDM) using an artificial pancreas (AP). The primary objective is to develop a controller that ensures normo-glycemia (70–120 mg/dl) while enhancing stability, accuracy, and robustness under physiological uncertainties and external disturbances. The AO algorithm tunes the control gains of the TADF controller to minimize the integral time absolute error (ITAE), ensuring optimal insulin infusion in real time. The AO-TADF controller introduces a filtered structure to improve the dynamic response and noise rejection capability, effectively handling the nonlinear nature of glucose-insulin dynamics. Simulation results demonstrate that the proposed approach achieves a faster settling time (230 minutes), lower peak overshoot (3.9 mg/dl), and reduced noise (1%) compared to conventional proportional integral derivative (PID), fuzzy, sliding mode (SM), linear quadratic gaussian (LQG), and H∞ controllers. The closed-loop system achieves a stable glucose level of 81 mg/dl under varying meal and exercise disturbances, validating the superior performance and robustness of the AO-TADF approach.
Co-Authors Agrawal, Ramachandra Das, Soumya Ranjan Dutta, Smitta Ranjan Elwakil, Ehab S. Giri, Nimay Chandra Kar, Sanjeeb Kumar Patra, Akshaya Kumar Prasad, Narayan Routray, Sangram Kishore Satapathy, Lalit Mohan Subudhi, Dillip Kumar Syam, Fathy Abdelaziz Vyas, Iti