Browsing by Author "Sheikh, Protik"

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An Arduino Based Automated Gardening System for Efficient and Sustainable Plant Growth
(International Research Journal of Modernization in Engineering Technology and Science, 2024-02-11) Sheikh, Protik; Akash, Asmaul; Rahman, Mushfequr; Khan, Tahfim
The primary objective of this research is to create and execute an automated gardening solution that promotes effective and environmentally friendly plant growth. This addresses the pressing issues of climate change and urban development. The setup involves utilizing an Arduino Nano microcontroller, a soil moisture sensor, a relay module, and a water pump. These components work together to supervise and regulate the optimal soil moisture levels for healthy plant growth. The experimental setup effectively demonstrated the system's competence in consistently watering plants and fostering their well-being while being mindful of water conservation and efficient resource usage. The key findings highlight the system's capability to maintain ideal growth conditions, minimize water consumption, and encourage sustainable gardening practices. The analysis indicates that automated gardening systems have the potential to revolutionize agriculture, especially when coupled with advancements in artificial intelligence and machine learning. As these technologies continue to improve, they will enhance the efficiency and adaptability of such systems. It is crucial to undertake efforts that enhance education and raise awareness to fully utilize the potential of these systems and promote sustainable agricultural.
Analysis of Patient Health Using Arduino and Monitoring System
(Journal of Engineering Research and Reports, 2024-02-22) Sheikh, Protik; Riyad, Tarifuzzaman; Dey, Bezon; Alam, Sadman; Ruddra, Istiaq; 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 easeof-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.
(African Journal of Biological Sciences, 2024-07-30) Alam, Sadman; Ashiquzzaman, Md; Sheikh, Protik; 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.
Enhanced Security and Efficiency in Attendance Management: A Novel RFID and Arduino Integrated System.
(Journal of Engineering Research and Reports., 2024-04-01) Chakraborty, Debashon; Rahman, Md; Joy, Zihad Hasan; Islam, Md Ashikul; Shufian, Abu; Sheikh, Protik; Alam, Sadman
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.
Enhancing Industrial Control System Security: An Isolation Forest-based Anomaly Detection Model for Mitigating Cyber Threats
(Journal of Engineering Research and Reports, 2024-03-06) Mahmud, Md Saif; Islam, Md Ashikul; Rahman, Md; Chakraborty, Debashon; Kabir, Shaharier; Shufian, Abu; Sheikh, Protik
In the evolving landscape of industrial control systems (ICS), the sophistication of cyber threats has necessitated the development of advanced anomaly detection mechanisms to safeguard critical infrastructure. This study introduces a novel anomaly detection model based on the Isolation Forest algorithm, tailored for the complex environment of ICS. Unlike traditional detection methods that often rely on predefined thresholds or patterns, our model capitalizes on the Isolation Forest's ability to efficiently isolate anomalies in high-dimensional datasets, making it particularly suited for the dynamic and intricate data generated by ICS. Leveraging the HAI dataset, which encompasses operational data from a realistic ICS testbed augmented with a Hardware-In-the-Loop (HIL) simulator, this research demonstrates the model's effectiveness in identifying both known and novel cyber threats across various ICS components. Our findings reveal that the Isolation Forest-based model outperforms traditional anomaly detection techniques in terms of detection accuracy, false positive rate, and computational efficiency. Furthermore, the model exhibits a remarkable ability to adapt to the evolving nature of cyber threats, underscoring its potential as a robust tool for enhancing the security posture of ICS. Through a detailed analysis of its application in detecting sophisticated attacks represented in the HAI dataset, this study contributes to the ongoing discourse on improving ICS security and presents a compelling case for the adoption of machine learning-based anomaly detection solutions in industrial settings.
Indoor Air Quality Monitoring and Automatic Ventilation System
(International Journal of Research Publication and Reviews, 2024-03-11) Sheikh, Protik; Hossan, Md. Tanvir; Alam, Sadman; Shufian, Abu
Arduino is a versatile and cheap device that can be used to perform various tasks. Arduino with its IDE is widely used to reliably automate different tasks. In this project an Arduino will be used in conjunction with a gas sensing module to monitor air quality in an enclosed space and take actions to prevent accumulation of gases if necessary. The gas sensor will be used to detect the concentration of any combustible or harmful gases and an Arduino will be programmed to automatically check the concentration. If higher than safe concentration of toxic and combustible gases is detected, a system will audibly and visually warn the inhabitants while actively preventing the accumulation of gas by venting the space through ventilation ducts and closing any supply valve if present.
Novel Illumination-invariant Face Recognition Approach via Reflectance- luminance and Local Matching Model with Weighted Voting System.
(Journal of Engineering Research and Reports., 2024-05-09) Ashiquzzaman, Md; Alam, Sadman; Shufian, Abu; Sheikh, Protik; Siddiqui, Ahmed
In this study, a novel approach has been introduced for face recognition that is unaffected by changes in illumination. This method is based on the reflectance-luminance model and incorporates local matching using a weighted voting technique to eliminate any artifacts present in the retina images. A total of 37 different linear and nonlinear filters were tested, including high pass and low pass filters, to achieve the reflectance component of the image, which remains invariant to changes in illumination. Among these filters, the maximum filter, which is a simple filter with low. computational complexity, yielded the best results in extracting the illumination invariants. It was observed that the illumination invariants obtained through this method outperformed other methods such as QI, SQI, and image enhancement techniques in terms of recognition accuracy. Importantly, the proposed method does not require any prior knowledge about the facial shape or illumination conditions and can be applied to individual images independently. Unlike many existing methods, this approach does not rely on multiple images during the training stage and does not require any parameter selection to generate the illumination invariants. To further enhance the robustness of illumination, a weighted voting system was introduced. Certain regions of the image, which may adversely affect the recognition outcome due to poor illumination, occlusion, noise, or lack of distinctive information, were identified using predefined factors such as grayscale mean, image entropy, and mutual information. The proposed method was also compared to other face recognition methods in the presence of occlusions, and it demonstrated promising results outperforming existing methods. The Python algorithm successfully detects obstructed faces, genders, and ages in videos with a face matching accuracy between 80.9% to 96.9% based on proximity.
Thyristor-based Rechargeable Battery Charger
(Journal of Engineering Research and Reports., 2024-03-29) Sheikh, Protik; Riyad, Tarifuzzaman; Dey, Bezon; Alam, Sadman; Shufian, Abu; Ruddra, Istiaq
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.