iosr-JEEE   Volume-21 ~ Issue-3 ~ May – June 2026

Abstract: The integration of Renewable Energy Sources (RES) into power grids presents significant challenges, particularly concerning transient stability. This study focuses on analysing the transient stability of an RES-dominated power grid, with a focus on solar PV systems. The work aims to evaluate the impact of varying irradiance levels on the grid and analyse their transient stability response under transient events. It equally identifies the system vulnerabilities and evaluates the effectiveness of possible strategies for enhancing transient stability in solar power systems. The work....,

Key Word: Transient Stability; RES; Solar PV system; Fault

[1] M. J. Rahman, “Integration Of Distributed Generation Along With Energy Storage System To Reduce The High Penetration Impacts Of Renewable Energy Sources Into The Power Grid.,” Doctoral Dissertation. Université Du Québec En Abitibi-Témiscamingue, 2024.
[2] E. Villa-Ávila, D. Ochoa-Correa, And P. Arévalo, “Advancements In Power Converter Technologies For Integrated Energy Storage Systems: Optimizing Renewable Energy Storage And Grid Integration,” Process. , Vol. 13, No. 6, Pp. 1–32, Jun. 2025, Doi: 10.3390/Pr13061819.
[3] S. Coelho, V. Monteiro, And J. L. Afonso, “Topological Advances In Isolated Dc–Dc Converters: High-Efficiency Design For Renewable Energy Integration,” Sustainability, Vol. 17, No. 6, Pp. 1–40, Mar. 2025, Doi: 10.3390/Su17062336.
[4] H. M. Saleh And A. I. Hassan, “The Challenges Of Sustainable Energy Transition: A Focus On Renewable Energy,” Appl. Chem. Eng., Vol. 7, No. 2, Pp. 1–24, 2024, Doi: 10.59429/Ace.V7i2.2084.
[5] M. Marupi, M. Batool, M. Alizadeh, And N. Zanib, “Transient Stability Improvement Of Large-Scale Photovoltaic,” Pp. 1–18, 2023.

Abstract: In Big data and Deep learning structure involve complex computation including sequential matrix multiplication which may reduce overall system clock period. Whereas FPGA offers the parallel processing and hardware acceleration. In this project, implement the matrix multiplication process of the CPU part on the PYNQ-Z2 FPGA development board to design a matrix multiplication accelerator. A custom matrix multiplication IP core was developed using Vitis HLS and integrated with the PYNQ framework for the design. By the offloading computation and parallel process nature of the FPGA, the hardware-software system achieves improved performance in terms of timing analysis compared with sequential processing on CPU framework.

Key Word: Accelerator, GEMM, Inner product, Outer product, Row-wise product, FPGA, HLS, IP

[1]. Http://Petewarden.Com/2015/04/20/Why-Gemm-Is-At-The-Heart-Of-Deep-Learning/
[2]. Https://Www.Tulembedded.Com/Fpga/Productspynq-Z2.Html
[3]. A. V. Trusov, E. E. Limonova, D. P. Nikolaev, V. V. Arlazarov, P-Im2col: Simple Yet Efficient Convolution Algorithm With Flexibly Controlled Memory Overhead, Ieee Access.
[4]. G. Noblea, S. Naleshb, S. Kalaa, A. Kumar, Configurable Sparse Matrix -Matrix Multiplication Accelerator On Fpga: A Systematic Design Space Exploration Approach With Quantization Effects, Alexandria Engineering Journal.
[5]. Https://En.Wikipedia.Org/Wiki/Dot_Product
[6]. Https://Www.Sciencedirect.Com/Topics/Engineering/Outer-Product

Abstract: The paper aim is to design and develop a smart safety clip that can protect children, women and elderly people during any form of danger or emergency. The PROTEGO Safety Clip can be easily attached to ID cards, clothing, or bags and works independently through an inbuilt GSM module (SIM-based), GPS tracker, microphone......

Key Word: GSM, SIM, Safety Clip, SoS.

[1]. M. Young, “Wearable Body Sensor Networks For Health Monitoring,” Ieee Transactions On Biomedical Engineering, 2017.
[2]. S. Patel Et Al., “Wearable Sensors For Health Monitoring Systems,” Ieee Reviews In Biomedical Engineering, 2018.
[3]. L. Yang And H. Yang, “Wearable Health Monitoring System Based On Internet Of Things,” Ieee Access, 2018.
[4]. S. Ravichandran Et Al., “Ppgnet: Deep Network For Device-Independent Heart Rate Estimation From Photoplethysmogram,” Ieee Signal Processing Letters, 2019.
[5]. A. K. M. I. Newaz Et Al., “Healthguard: A Machine Learning-Based Security Framework For Smart Healthcare Systems,” Ieee Internet Of Things Journal, 2019.

Abstract: In this analysis, we present a technique to minimize the reactive components (capacitors and inductances) of rectifiers with near sinusoidal input currents (RNSIC) by 15%–25%. Two RNSIC converters of the same kind, dimensioned for half of the converted nominal power and whose entrance currents are phase-shifted with an angle of 30° to 40° by carefully selecting the inductances on the AC portion, are connected in parallel in this approach. Therefore, lowering the capacitors and inductances of the two rectifiers results in an adequate compensation of the type 5 current harmonics created in the power grid.......

Key Word: Power converters, AC-DC power conversion, asymetrical converter, power quality, power electronics.

[1]. N. Mohan, T. Undeanland, W. Robbins: Power Electronics – Converters, Applications And Design, John Wiley & Sons Inc., 1995, 200 – 248.
[2]. M. Kazmierkowski, R. Krishnan And F. Blaabjerg: Control In Power Electronics Selected Problems, Academic Press, 2002, 89 – 208.
[3]. Candidus U. Eya, Ayodeji Olalekan Salau, Sepiribo Lucky Braide, S. B. Goyal, Victor Adewale Owoeye, Oluwafunso Oluwole Osaloni : “Assessment Of Total Harmonic Distortion In Buck-Boost Dc-Ac Converters Using Triangular Wave And Saw-Tooth Based Unipolar Modulation Schemes”, Wseas Transactions On Power Systems, Volume 17, 2022, Pages: 324-338.
[4]. J. Arrilaga And N. Watson: Power Systems Harmonics, 2nd Ed., New York, Wiley, 2003.
[5]. H. Akagi, Trends In Active Power Conditioners, Ieee Transactions On Power Electronics, 1994, 9, 263-268.

Abstract: Background: The global transition to electric mobility and volatile supply chains poses major challenges [6,7]. EV batteries demand high energy density, fast charging, long cycle life, and precise SOC/SOH estimation amid sensor noise [2], while networks must absorb disruptions and curb bullwhip effects.
Materials and Methods: The LW transform unifies the Laplace kernel with normalized Gaussian smoothing via a double-integral operator. It rests on the Fréchet space and key properties (linearity, differentiation with smoothed initials, convolution.......

Key Word: Gaussian smoothing; battery modeling; supply chain resilience; quantum computing for logistics; fractional-order systems..

[1]. Akarshan Gulhane, " Swipe Controller," International Journal of Research in Engineering and Applied Sciences (IJREAS): Volume 4, Issue 12 pp: 1-7, 2014. https://indianjournals.com/article/ijreas-4-12-001
[2]. P.A. Gulhane, “Laplace transform associated with the Weierstrass transform,” International Journal of Scientific & Engineering Research, vol. 4, no. 12, Dec. 2013.
[3]. P.A. Gulhane, “Analytic behavior of Laplace–Weierstrass transform,” International Journal of Mathematical Archive, vol. 5, no. 10, pp. 243–246, Oct. 2014..
[4]. Akarshan Gulhane, “Advancements in automotive batteries: A review,” International Engineering Journal for Research & Development, e 230
[5]. Akarshan Gulhane, “The future of vehicles: Solar-powered battery electric hybrid vehicle architecture,” Tech Briefs Create the Future Design Contest, 2020. [Online]. Available: https://contest.techbriefs.com/2020/entries/automotive-transportation/10457.

Abstract: Wind energy has become one of the most important renewable energy sources for meeting the growing global demand for electricity. Despite its advantages, wind turbine blades are constantly exposed to fluctuating wind conditions, turbulence, and aerodynamic loads that induce vibrations. These vibrations can reduce power generation efficiency, accelerate structural fatigue, increase maintenance costs, and shorten the lifespan of turbine components......

Key Word: Wind turbine blades, Lorentz force damping, Electromagnetic vibration control, Renewable energy, Vibration suppression

[1]. Beskhyroun, S., Wegner, L. D., & Sparling, B. F. (2011). Integral resonant control scheme for cancelling human-induced vibrations in light-weight pedestrian structures. Structural Control and Health Monitoring, May 2011, n/a-n/a. https://doi.org/10.1002/stc
[2]. Bin, G., Li, X., Shen, Y., & Wang, W. (2018). Development of whole-machine high speed balance approach for turbomachinery shaft system with N + 1 supports. Measurement: Journal of the International Measurement Confederation, 122(May 2016), 368–379. https://doi.org/10.1016/j.measurement.2018.02.035
[3]. Chen, Y. H., Yue, Y. F., Zhang, Y., Li, R. P., & Xu, X. (2023). Numerical Investigation of Vibration Suppression for the Combined Device of Non-Newtonian Fluids Coupled Elastic Baffle. 16(3), 591–602.
[4]. Chong, C. H., Rigit, A. R. H., & Ali, I. (2021). Wind turbine modelling and simulation using Matlab / SIMULINK. IOP Conference Series: Materials Science and Engineering, 1101(1), 012034. https://doi.org/10.1088/1757-899x/1101/1/012034
[5].Fitzgerald, B., Basu, B., & Nielsen, S. R. K. (2013). Active tuned mass dampers for control of in-plane vibrations of wind turbine blades. January, 1377–1396. https://doi.org/10.1002/stc.

Abstract: This article presents the design and construction of an automated target counter for real-time detection and counting of projectile impacts using a piezoelectric vibration sensor, an ATmega328P microcontroller, signal-conditioning circuitry, a 16×2 LCD, and an audible feedback system. The research was motivated by the limitations of conventional manual target counting methods, which are prone to human errors, delays, and safety concerns. Mathematical models were developed for impact force, kinetic energy, sensor response, ADC conversion, counting......

Key Word: Automated Target Counter, Piezoelectric Sensor, ATmega328P Microcontroller, Impact Detection, Hit Counting, Response Time, Detection Accuracy, Shooting Range Automation

[1]. P. Horowitz and W. Hill, The Art of Electronics, 3rd ed. Cambridge, U.K.: Cambridge University Press, 2015.
[2]. A. S. Sedra and K. C. Smith, Microelectronic Circuits, 7th ed. New York, NY, USA: Oxford University Press, 2015.
[3]. J. Fraden, Handbook of Modern Sensors, 5th ed. Cham, Switzerland: Springer, 2016.
[4]. M. Banzi and M. Shiloh, Getting Started with Arduino, 4th ed. Sebastopol, CA, USA: O'Reilly Media, 2022.
[5] S. Priya and D. J. Inman, Energy Harvesting Technologies. New York, NY, USA: Springer, 2009.