Dr. Sangeeta Kumari

@iitism.ac.in

Mathematics
Indian Institute of Technology (Indian School of Mines) Dhanbad

Dr. Sangeeta Kumari


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https://researchid.co/sangeeta
12

Scopus Publications

396

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • Defect identification in friction stir welding using continuous wavelet transform
    Shilpi Kumari, Rahul Jain, Ujjwal Kumar, Inderjeet Yadav, Nitin Ranjan, Kanchan Kumari, Ram Kumar Kesharwani, Sachin Kumar, Srikanta Pal, Surjya K. Pal, Debashish Chakravarty
    Journal of Intelligent Manufacturing, 2019
    The manuscript reports on detection of defect that arises during friction stir welding using continuous wavelet transform (CWT) on force signal. The vertical force during welding undergoes sudden change due to presence of defects. These localized defects are detected accurately with the help of continuous wavelet transform scalogram (CWT coefficients’ gray scale image). Statistical feature of variance is used on scale of 1 of transformed signal to localize the defects. The experiments of welding are conducted on the work piece of AA 1100 with varying tool rotational speed (1000, 2000, 3000 rpm) and transverse velocity (50, 75 and 125 mm/min). The manuscript also presents the comparison of results obtained using discrete wavelet transform and CWT of force signals and shows better localization and determination of degree of defect are possible through CWT analysis.
  • Performance analysis of 3-phase induction motor: Through simulation in SIMULINK and TMS320C6713
    Nutan Lata Nath, Pallavi Dutta, Shilpi Kumari, Urjaswit Lal
    Lecture Notes in Electrical Engineering, 2017
  • Analysis of inter-turn short circuit fault in 2.5HP 3-phase induction motor
    Urjaswit Lal, Pallavi Dutta, Shilpi Kumari, Nutan Lata Nath
    2016 IEEE 1st International Conference on Control Measurement and Instrumentation Cmi 2016, 2016
    The inter-turn stator fault of 3-phase induction motor has been studied in this paper. The fault has been induced in the hardware setup of the motor. The parameters of the motor in question have been calculated with the help of blocked rotor and no-load tests. The stator current signature of each phase has been recorded and then analyzed using Fast Fourier Transform and Discrete Wavelet Transform. The results obtained can be used to detect the fault in real time. Phasor diagrams for the healthy signals and fault induced signals have also been constructed and studied in this paper to analyze the variation in phase angles and magnitudes.
  • Application of empirical mode decomposition for feature extraction from EEG signals
    S. Kumari, R. Upadhyay, P. K. Padhy, P. K. Kankar
    IEEE International Conference on Computer Communication and Control Ic4 2015, 2016
    Performance of any brain computer interface system depends upon features of electroencephalogram signals. Electroencephalogram signals undergo for unpredictable changes when vigilance state of human brain alters widely. This may cause adverse changes in extracted features and affect classification performance of brain computer interface system. To avoid miss-classification, brain computer interface should obtain alertness level of user periodically. The aim of present work is to analyze effectiveness of empirical mode decomposition based fractal feature extraction methodology of electroencephalogram signals, for the identification of the two different mental conditions i.e. alert and drowsy. Proposed methodology of feature extraction is occurred in three steps. In the first step, two types of electroencephalogram signals (i.e. alert and drowsy) are acquired from six healthy subjects and decomposed into sub-bands using empirical mode decomposition technique. Significant instantaneous frequency vectors are calculated from decomposed coefficients in the second step. In the third step, two fractal dimensions are computed from instantaneous frequency vectors, as two independent feature vectors of electroencephalogram signals. The prepared feature vectors are used as an input to support vector machine, artificial neural network and random forest tree classifier for classification.
  • Application of empirical mode decomposition for feature extraction from EEG signals
    R.K. Sungkur, U.G. Singh, A. Adaya
    2015 International Conference on Computing Communication and Security Icccs 2015, 2016
    The introduction of game-based learning (GBL) into the pedagogical processes and curriculum design can increase student engagement in the learning process. There are a range of game based learning approaches available, but, so far, limited adoption of serious games has been recorded. The digital habits of learners should be studied carefully, to better understand the way current technology-savvy students learn, and integrate socially. With the wide-spread use of Mobile Devices today, GBL has a vital role to play in the educational landscape. This research analyses the potential usage of Mobile Devices to enhance the learning process, through Game-Based Learning.
  • Defect identification in friction stir welding using discrete wavelet analysis
    Ujjwal Kumar, Inderjeet Yadav, Shilpi Kumari, Kanchan Kumari, Nitin Ranjan, Ram Kumar Kesharwani, Rahul Jain, Sachin Kumar, Srikanta Pal, Debasish Chakravarty, Surjya K. Pal
    Advances in Engineering Software, 2015
  • HRV analysis in local anesthesia using Continuous Wavelet Transform (CWT)
    K. Shafqat, S. K. Pal, S. Kumari, P. A. Kyriacou
    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, 2011
    Spectral analysis of Heart Rate Variability (HRV) is used for the assessment of cardiovascular autonomic control. In this study Continuous Wavelet Transform (CWT) has been used to evaluate the effect of local anesthesia on HRV parameters in a group of fourteen patients undergoing axillary brachial plexus block. A new method which takes signal characteristics into account has been presented for the estimation of the variable boundaries associated with the low and the high frequency band of the HRV signal. The variable boundary method might be useful in cases when the power related to respiration component extends beyond the traditionally excepted range of the high frequency band (0.15-0.4 Hz). The statistical analysis (non-parametric Wilcoxon signed rank test) showed that the LF/HF ratio decreased within an hour of the application of the brachial plexus block compared to the values fifteen minutes prior to the application of the block. These changes were observed in thirteen of the fourteen patients included in this study.
  • Empirical mode decomposition analysis of HRV data from patients undergoing local anaesthesia (brachial plexus block)
    K Shafqat, S K Pal, S Kumari, P A Kyriacou
    Physiological Measurement, 2011
    Spectral analysis of heart rate variability (HRV) is used for the assessment of cardiovascular autonomic control. In this study, a data-driven adaptive technique called empirical mode decomposition (EMD) and the associated Hilbert spectrum has been used to evaluate the effect of local anaesthesia on HRV parameters in a group of 14 patients undergoing axillary brachial plexus block. The normalized amplitude Hilbert spectrum was used to calculate the error index associated with the instantaneous frequency. The amplitude and the frequency values were corrected in the region where the error was higher than twice standard deviation. The intrinsic mode function (IMF) components were assigned to the LF and the HF part of the signal by making use of the centre frequency and the standard deviation spectral extension estimated from the marginal spectrum of the IMF components. The optimal range of the stopping criterion was found to be between 4 and 9 for the HRV data. The statistical analysis showed that the LF/HF ratio decreased within an hour of the application of the brachial plexus block compared to the values at the start of the procedure. These changes were observed in 13 of the 14 patients included in this study.
  • Time-frequency analysis of HRV data from locally anesthetized patients
    K. Shafqat, S.K. Pal, S. Kumari, P.A. Kyriacou
    Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society Engineering the Future of Biomedicine Embc 2009, 2009
    Spectral analysis of Heart Rate Variability (HRV) can be used for the assessment of cardiovascular autonomic control. In this study Smoothed-Pseudo Wigner-Ville Distribution (SPWVD) has been used to evaluate the effect of local anesthesia on HRV parameters in a group of fourteen patients undergoing brachial plexus block (local anesthesia) using the transarterial technique. Instead of using the fixed boundaries of the LF (0.04-0.15 Hz) and the HF (0.15-0.4 Hz) components, the center frequency and the standard deviation spectral extension was used to estimate the boundaries related to the two components of the HRV signal. The boundaries related to the HF component of the signal were estimated using the cross-spectrum between the HRV signal and the respiration signal. The LF component boundaries were estimated directly from the time-frequency representation of the HRV signal. The statistical analysis showed that the (LF)/HF amplitude ratio decreased within an hour of the application of the brachial plexus block compared to the values at the start of the procedure. These changes were observed in eleven of the fourteen patients included in this study.
  • Empirical Mode Decomposition (EMD) analysis of HRV data from locally anesthetized patients
    K. Shafqat, S.K. Pal, S. Kumari, P.A. Kyriacou
    Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society Engineering the Future of Biomedicine Embc 2009, 2009
    Spectral analysis of Heart Rate Variability (HRV) is used for the assessment of cardiovascular autonomic control. In this study data driven adaptive technique Empirical Mode Decomposition (EMD) and the associated Hilbert spectrum has been used to evaluate the effect of local anesthesia on HRV parameters in a group of fourteen patients undergoing brachial plexus block (local anesthesia) using transarterial technique. The confidence limit for the stopping criteria was establish and the S value that gave the smallest squared deviation from the mean was considered optimal. The normalized amplitude Hilbert spectrum was used to calculate the error index associated with the instantaneous frequency. The amplitude and the frequency values were corrected in the region where the error was higher than twice the standard deviation. The Intrinsic Mode Function (IMF) components were assigned to the Low Frequency (LF) and the High Frequency (HF) part of the signal by making use of the center frequency and the standard deviation spectral extension estimated from the marginal spectrum of the IMF components. The analysis procedure was validated with the help of a simulated signal which consisted of two components in the LF and the HF region of the HRV signal with varying amplitude and frequency. The optimal range of the stopping criterion was found to be between 4 and 9 for the HRV data. The statistical analysis showed that the LF/HF amplitude ratio decreased within an hour of the application of the brachial plexus block compared to the values at the start of the procedure. These changes were observed in thirteen of the fourteen patients included in this study.
  • Changes in heart rate variability in patients under local anesthesia
    First K. Shafqat, Second S. K. Pal, Third S. Kumari, Fourth P. A. Kyriacou
    Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings, 2007
  • Investigation of heart rate variability in patients under local anaesthesia
    Proceedings of the 5th IASTED International Conference on Biomedical Engineering Biomed 2007, 2007

RECENT SCHOLAR PUBLICATIONS

  • A mathematical model for deciphering the impact of obesity on diabetes
    P Roy, S Kumari, A Jain, J Kaur
    Franklin Open, 100505 , 2026
    2026
  • Impact of cross-diffusion and Allee effect on modified Leslie–Gower model
    S Menon, S Kumari
    Mathematics and Computers in Simulation 236, 183-199 , 2025
    2025
    Citations: 1
  • Exploring the Dynamics of a Model for HIV Infection Featuring Dual Time Delays
    S Kumari, P Roy
    Journal of Applied Nonlinear Dynamics 14 (03), 575-604 , 2025
    2025
  • Dynamical system of quokka population depicting Fennecaphobia by Vulpes vulpes
    S Kumari, S Menon, K Abhirami
    Mathematical Biosciences and Engineering 22 (6), 1342-1363 , 2025
    2025
  • Exploring the dynamics of a malware propagation model and its control strategy
    S Kumari, RK Upadhyay
    Wireless Personal Communications 121 (3), 1945-1978 , 2021
    2021
    Citations: 10
  • Exploring the behavior of malware propagation on mobile wireless sensor networks: Stability and control analysis
    S Kumari, RK Upadhyay
    Mathematics and Computers in Simulation 190, 246-269 , 2021
    2021
    Citations: 43
  • Parametric excitation and Hopf bifurcation analysis of a time delayed nonlinear feedback oscillator
    S Saha, G Gangopadhyay, S Kumari, RK Upadhyay
    International Journal of Applied and Computational Mathematics 6 (6), 173 , 2020
    2020
    Citations: 1
  • Exploring the delayed and optimally controlled dynamics of malicious objects in computer network
    S Kumari, RK Upadhyay
    Understanding Cyber Threats and Attacks, 1-258 , 2020
    2020
  • A delayed e-epidemic SLBS model for computer virus
    Z Zhang, S Kumari, RK Upadhyay
    Advances in Difference Equations 414 (doi.org/10.1186/s13662-019-2341-8), 24 , 2019
    2019
    Citations: 23
  • Dynamics of an SEIR epidemic model with nonlinear incidence and treatment rates
    RK Upadhyay, AK Pal, S Kumari, P Roy
    Nonlinear Dynamics 96, 2351–2368 , 2019
    2019
    Citations: 123
  • Discrete and data packet delays as determinants of switching stability in wireless sensor networks
    RK Upadhyay, S Kumari
    Applied Mathematical Modelling 72, 513-536 , 2019
    2019
    Citations: 17
  • Virus dynamics of a distributed attack on a targeted network: Effect of firewall and optimal control
    Sangeeta Kumari, Prerna Singh, Ranjit Kumar Upadhyay
    Communications in Nonlinear Science and Numerical Simulation 73, 74-91 , 2019
    2019
    Citations: 17
  • Delay dynamics of worm propagation model with non-linear incidence rates in wireless sensor network
    Z Zhang, Y Chu, S Kumari, RK Upadhyay
    Zhejiang University (Science Edition) 46 (2), 168-199 , 2019
    2019
    Citations: 2
  • Global Stability of Worm Propagation Model with Nonlinear Incidence Rate in Computer Network
    RK Upadhyay, S Kumari
    International Journal of Network Security 20 (3), 515-526 , 2018
    2018
    Citations: 4
  • Detecting malicious chaotic signals in wireless sensor network
    RK Upadhyay, S Kumari
    Physica A: Statistical Mechanics and its Applications 492, 1129-1152 , 2018
    2018
    Citations: 20
  • Salton Sea: An Ecosystem in Crisis
    RK Upadhyay, S Kumari, S Kumari, V Rai
    International Journal of Biomathematics 11 (9), 1850114 (30 pages) , 2018
    2018
    Citations: 9
  • Bifurcation analysis of an e-epidemic model in wireless sensor network
    RK Upadhyay, S Kumari
    International Journal of Computer Mathematics 95 (9), 1775-1805 , 2018
    2018
    Citations: 40
  • Modeling the virus dynamics in computer network with SVEIR model and nonlinear incident rate
    RK Upadhyay, S Kumari, AK Misra
    Journal of Applied Mathematics and Computing 54 (1), 485-509 , 2017
    2017
    Citations: 86

MOST CITED SCHOLAR PUBLICATIONS

  • Dynamics of an SEIR epidemic model with nonlinear incidence and treatment rates
    RK Upadhyay, AK Pal, S Kumari, P Roy
    Nonlinear Dynamics 96, 2351–2368 , 2019
    2019
    Citations: 123
  • Modeling the virus dynamics in computer network with SVEIR model and nonlinear incident rate
    RK Upadhyay, S Kumari, AK Misra
    Journal of Applied Mathematics and Computing 54 (1), 485-509 , 2017
    2017
    Citations: 86
  • Exploring the behavior of malware propagation on mobile wireless sensor networks: Stability and control analysis
    S Kumari, RK Upadhyay
    Mathematics and Computers in Simulation 190, 246-269 , 2021
    2021
    Citations: 43
  • Bifurcation analysis of an e-epidemic model in wireless sensor network
    RK Upadhyay, S Kumari
    International Journal of Computer Mathematics 95 (9), 1775-1805 , 2018
    2018
    Citations: 40
  • A delayed e-epidemic SLBS model for computer virus
    Z Zhang, S Kumari, RK Upadhyay
    Advances in Difference Equations 414 (doi.org/10.1186/s13662-019-2341-8), 24 , 2019
    2019
    Citations: 23
  • Detecting malicious chaotic signals in wireless sensor network
    RK Upadhyay, S Kumari
    Physica A: Statistical Mechanics and its Applications 492, 1129-1152 , 2018
    2018
    Citations: 20
  • Discrete and data packet delays as determinants of switching stability in wireless sensor networks
    RK Upadhyay, S Kumari
    Applied Mathematical Modelling 72, 513-536 , 2019
    2019
    Citations: 17
  • Virus dynamics of a distributed attack on a targeted network: Effect of firewall and optimal control
    Sangeeta Kumari, Prerna Singh, Ranjit Kumar Upadhyay
    Communications in Nonlinear Science and Numerical Simulation 73, 74-91 , 2019
    2019
    Citations: 17
  • Exploring the dynamics of a malware propagation model and its control strategy
    S Kumari, RK Upadhyay
    Wireless Personal Communications 121 (3), 1945-1978 , 2021
    2021
    Citations: 10
  • Salton Sea: An Ecosystem in Crisis
    RK Upadhyay, S Kumari, S Kumari, V Rai
    International Journal of Biomathematics 11 (9), 1850114 (30 pages) , 2018
    2018
    Citations: 9
  • Global Stability of Worm Propagation Model with Nonlinear Incidence Rate in Computer Network
    RK Upadhyay, S Kumari
    International Journal of Network Security 20 (3), 515-526 , 2018
    2018
    Citations: 4
  • Delay dynamics of worm propagation model with non-linear incidence rates in wireless sensor network
    Z Zhang, Y Chu, S Kumari, RK Upadhyay
    Zhejiang University (Science Edition) 46 (2), 168-199 , 2019
    2019
    Citations: 2
  • Impact of cross-diffusion and Allee effect on modified Leslie–Gower model
    S Menon, S Kumari
    Mathematics and Computers in Simulation 236, 183-199 , 2025
    2025
    Citations: 1
  • Parametric excitation and Hopf bifurcation analysis of a time delayed nonlinear feedback oscillator
    S Saha, G Gangopadhyay, S Kumari, RK Upadhyay
    International Journal of Applied and Computational Mathematics 6 (6), 173 , 2020
    2020
    Citations: 1
  • A mathematical model for deciphering the impact of obesity on diabetes
    P Roy, S Kumari, A Jain, J Kaur
    Franklin Open, 100505 , 2026
    2026
  • Exploring the Dynamics of a Model for HIV Infection Featuring Dual Time Delays
    S Kumari, P Roy
    Journal of Applied Nonlinear Dynamics 14 (03), 575-604 , 2025
    2025
  • Dynamical system of quokka population depicting Fennecaphobia by Vulpes vulpes
    S Kumari, S Menon, K Abhirami
    Mathematical Biosciences and Engineering 22 (6), 1342-1363 , 2025
    2025
  • Exploring the delayed and optimally controlled dynamics of malicious objects in computer network
    S Kumari, RK Upadhyay
    Understanding Cyber Threats and Attacks, 1-258 , 2020
    2020