Browsing by Author "Sheikh, Protik Parvez"

Now showing 1 - 10 of 10

A Novel Linearization Technique for RF Power Amplifiers Combining Predistortion and Feedforward Linearizers
(AIUB Journal of Science and Engineering (AJSE), 2025-08-31) Sheikh, Protik Parvez; Bhuyan, Muhibul Haque; Alam, Sadman Shahriar; Ali, M. Tanseer; Shufian, Abu
This paper presents a hybrid linearization technique for improving the performance of Class E radio frequency (RF) power amplifiers (PAs). The method combines feedforward and adaptive RF/digital predistortion to reduce nonlinear distortion without a significant reduction in power-added efficiency (PAE). The proposed approach achieves a reduction of 12.7% in harmonic distortion at 1.22 GHz. Simulation results, carried out using Agilent ADS, show improvements in third-order intermodulation distortion (IMD3), input third-order intercept point (IIP3), and output third-order intercept point (OIP3). Comparative analysis demonstrates that this technique provides superior linearity enhancement compared to conventional analog predistortion. While the results are simulation-based, this work highlights the trade-off between linearity and efficiency.
A Novel Linearization Technique for RF Power Amplifiers Combining Predistortion and Feedforward Linearizers
(Faculty of Science and Technology (FST) and Faculty of Engineering (FE), American International University-Bangladesh, 2026-04-30) Sheikh, Protik Parvez; Bhuyan, Muhibul Haque; Alam, Sadman Shahriar; Ali, M. Tanseer; Shufian, Abu
This paper presents a hybrid linearization technique for improving the performance of Class E radio frequency (RF) power amplifiers (PAs). The method combines feedforward and adaptive RF/digital predistortion to reduce nonlinear distortion without a significant reduction in power-added efficiency (PAE). The proposed approach achieves a reduction of 12.7% in harmonic distortion at 1.22 GHz. Simulation results, carried out using Agilent ADS, show improvements in third-order intermodulation distortion (IMD3), input third-order intercept point (IIP3), and output third-order intercept point (OIP3). Comparative analysis demonstrates that this technique provides superior linearity enhancement compared to conventional analog predistortion. While the results are simulation-based, this work highlights the trade-off between linearity and efficiency.
Advanced Control Strategy for Mitigating Imbalances in Centralized Microgrids Using Grid-Forming Converters
(IEEE, 2025-03-14) Hannan, Nasif; Hossain, Md Ismail; Shufian, Abu; Alam, Sadman Shahriar; Shovon, S M Tanvir Hassan; Sheikh, Protik Parvez
Power instability in centralized microgrids remains a critical challenge due to fluctuating load demands and the dynamic nature of renewable energy sources. Traditional voltage and frequency control techniques often fail to tackle imbalances arising from uneven load distribution and dynamic generation patterns. To overcome this, the study introduces an advanced control strategy incorporating a novel centralized secondary control mechanism. This mechanism optimizes power management by factoring in intermittent levels, load-effective impedance, and voltage fluctuations, ensuring efficient voltage regulation and stability. The proposed approach aims to improve overall microgrid performance by dynamically balancing power distribution and enhancing control parameters. The effectiveness of the strategy is validated through simulation and experimental methods, demonstrating its ability to stabilize voltage and address power imbalances in centralized microgrids. The findings provide valuable insights for improving the reliability and efficiency of modern energy systems, particularly in dealing with voltage instability and variable load conditions in microgrid applications.
Advanced Control Strategy for Mitigating Imbalances in Centralized Microgrids Using Grid-Forming Converters
(IEEE, 2025-03-14) Hannan, Nasif; Hossain, Md Ismail; Shufian, Abu; Shahriar Alam, Sadman; Shovon, S M Tanvir Hassan; Sheikh, Protik Parvez
Power instability in centralized microgrids remains a critical challenge due to fluctuating load demands and the dynamic nature of renewable energy sources. Traditional voltage and frequency control techniques often fail to tackle imbalances arising from uneven load distribution and dynamic generation patterns. To overcome this, the study introduces an advanced control strategy incorporating a novel centralized secondary control mechanism. This mechanism optimizes power management by factoring in intermittent levels, load-effective impedance, and voltage fluctuations, ensuring efficient voltage regulation and stability. The proposed approach aims to improve overall microgrid performance by dynamically balancing power distribution and enhancing control parameters. The effectiveness of the strategy is validated through simulation and experimental methods, demonstrating its ability to stabilize voltage and address power imbalances in centralized microgrids. The findings provide valuable insights for improving the reliability and efficiency of modern energy systems, particularly in dealing with voltage instability and variable load conditions in microgrid applications.
Analysis of Patient Health Using Arduino and Monitoring System
(Asia Pacific Publishers, 2024-02-02) Sheikh, Protik Parvez; Riyad, Tarifuzzaman; Tushar, Bezon Dey; Alam, Sadman Shahriar; Ruddra, Istiaq Mahmood; Shufian, Abu
The proposed project is a health monitoring system using Arduino that measures key health parameters such as heart rate, blood oxygen level, and body temperature. The system consists of sensors such as DHT11 for temperature, MAX30100 for heart rate and blood oxygen level, and an Arduino Nano for processing the data. The measured results are displayed on an LCD screen and a buzzer sounds when the results are ready. The system has been designed with simplicity and ease-of-use in mind, making it accessible for personal use. While the system has limitations such as sensor accuracy and lack of IoT functionality, it still has potential for improving individual health monitoring and wellness. In the future, potential areas for development include the inclusion of more sensors, IoT functionality, and machine learning algorithms for personalized insights and recommendations. Overall, the proposed health monitoring system is a promising step towards empowering individuals to take a more active role in monitoring their health and wellness.
Design and Performance Test of an Implementable Rectenna Encapsulated in a Human Tissue Bio-Case Model
(2024-07-30) Alam, Sadman Shahriar; Ashiquzzaman, MD.; Sheikh, Protik Parvez; Mondal, Shuvra; Shufian, Abu; Shovon, S M Tanvir Hassan
Modern implanted medical devices perform a range of diagnostic and therapeutic activities such as sensing, monitoring, and medication administration. Although these medical devices can communicate with the outside world, they face a number of difficulties including inefficient power supplies, size reduction, and short working lifespans. An implantable antenna designed with a rectifier circuit has been proposed in this research paper. Moreover, the rectifier circuit’s (Rectenna) performance has been evaluated by its efficiency and the output voltage at the receiver’s end. This report depicts a thorough process of the design and simulation results for both antenna and a rectifier circuit. The patch antenna was created to function at the Industrial, Scientific, and Medical (ISM) band within the frequency range of (902-928) MHz which is encapsulated between the skin and muscle layer to create a practical simulation environment. To transfer the maximum power, a matching network circuit has been designed. To convert RF voltage to DC voltage, a double-stage voltage rectifier circuit was used.
Design and Performance Test of an Implementable Rectenna Encapsulated in a Human Tissue Bio-Case Model
(African journal of biological science (AFJBS), 2024-07-30) Alam, Sadman Shahriar; MD, Ashiquzzaman; Mondal, Shuvra; Sheikh, Protik Parvez; Abu, Shufian; Shovon, SM Tanvir Hassan
Modern implanted medical devices perform a range of diagnostic and therapeutic activities such as sensing, monitoring, and medication administration. Although these medical devices can communicate with the outside world, they face a number of difficulties including inefficient power supplies, size reduction, and short working lifespans. An implantable antenna designed with a rectifier circuit has been proposed in this research paper. Moreover, the rectifier circuit’s (Rectenna) performance has been evaluated by its efficiency and the output voltage at the receiver’s end. This report depicts a thorough process of the design and simulation results for both antenna and a rectifier circuit. The patch antenna was created to function at the Industrial, Scientific, and Medical (ISM) band within the frequency range of (902-928) MHz which is encapsulated between the skin and muscle layer to create a practical simulation environment. To transfer the maximum power, a matching network circuit has been designed. To convert RF voltage to DC voltage, a double-stage voltage rectifier circuit was used.
Enhanced Security and Efficiency in Attendance Management: A Novel RFID and Arduino Integrated System
(2024-04-01) Chakraborty, Debashon; Rahman, Md Maruf; Joy, Zihad Hasan; Islam, Md. Ashikul; Shufian, Abu; Sheikh, Protik Parvez; Sadman Shahriar, Alam
The advent of Radio Frequency Identification (RFID) technology has ushered in a new paradigm in the domain of automated attendance systems, offering a sophisticated yet user-friendly approach to personnel management. This paper presents a comprehensive study on the design and deployment of an RFID-based attendance system powered by the versatile Arduino platform, elucidating its operational tenets, system architecture, and practical implementations. At the heart of the system lies the MFRC522 RFID reader, which synergizes with an Arduino microcontroller to facilitate the identification and logging of attendance data. The system is enhanced by the inclusion of an SD Card Module for data storage and a Real-Time Clock (RTC) Module to ensure accurate timestamping of attendance events. The seamless integration of these components results in a robust mechanism that not only simplifies the attendance tracking process but also fortifies the security framework by leveraging unique identifiers for each user. The study spans the detailed process of assembling the hardware, crafting the software in the Arduino Integrated Development Environment (IDE), and meticulously testing the integrated system to affirm its efficacy. The resulting attendance system embodies a significant stride towards refining attendance management practices, eliminating the shortcomings of manual tracking while providing a scalable and reliable solution adaptable to various organizational settings.
From Brainwaves to Insights: Leveraging Machine Learning for Real-Time Prediction of Mental States from EEG Data
(IEEE, 2025-06-10) Zaman Anonto, Hasanur; Hossian, Md. Ismail; Ahmed, Koishik; Shufian, Abu; Alam, Sadman Shahriar; Sheikh, Protik Parvez
The detection of mental states with EEG (Electroencephalogram) signals was investigated in this study using supervised and unsupervised machine learning approaches. EEG, a non-invasive tool for measuring brain activity, was utilized to evaluate cognitive and emotional states through various frequency bands, namely Delta, Theta, Alpha, Beta, and Gamma. Supervised classification was performed using Random Forest, while unsupervised analysis was conducted with K-Means clustering in combination with Principal Component Analysis (PCA) for dimensionality reduction. Feature extraction was carried out using wavelet transforms to address the intricate and noisy nature of EEG data. EEG data from channels TP9, AF7, AF8, and TP10 were analyzed in Rest and Focus sets. It was demonstrated that the Random Forest model achieved an accuracy of 67 % with a precision-recall tradeoff, whereas K-Means clustering showed relatively weak differentiation of mental states, as indicated by a cluster silhouette score of 37.76 %. These findings highlight the necessity of further refinement in feature extraction and model tuning to enhance performance in applications such as mental health monitoring, neurofeedback, and human-computer interaction.
Thyristor-based Rechargeable Battery Charger
(Asia Pacific Publication, 2024-02-29) Sheikh, Protik Parvez; Riyad, Tarifuzzaman; Tushar, Bezon Dey; Alam, Sadman Shahriar; Shufian, Abu; Ruddra, Istiaq Mahmood
In this project, our main objective is to design an automatic battery charger using Silicon-Controlled Rectifier (SCR) and simulate their operation. Batteries play a crucial role in safely storing electricity by converting electrical energy into chemical energy. The primary focus of our project is on thyristor-based rechargeable battery chargers, known for their high quality and competitive pricing. We delve into the design and simulation of automatic battery chargers employing SCR technology. This article encompasses the simulation, implementation, and partial construction of such a charger. The electronic circuit will be tailored to meet specific charging process requirements.