The principles of well operations, control, and optimization are still not sufficiently understood by many oil and gas engineering professionals. For example, well control is essential during well drilling operations to prevent blowouts. In order to prevent kicks or blowouts, which result in increased drilling costs, the waste of valuable natural resources, pollution, and the degradation of the environment and its ecosystems, as well as the eventual loss of human life and property if not properly controlled.

The accurate interpretation of electromyography (EMG) signals is crucial for medical diagnostics and rehabilitation systems. However, the inherent presence of noise, including motion artifacts and powerline interference, significantly hampers signal clarity. This research presents a novel, cost-effective approach for advanced EMG signal denoising using an Arduino-based platform integrated with custom signal processing techniques.

Alginate, a natural biopolymer, has gained significant attention as a versatile material for developing sustainable and efficient membranes for wastewater treatment. This paper explores the recent advancements in fabricating and optimizing alginate membranes for enhanced performance. Various techniques, including casting, electrospinning, and 3D printing, are discussed for creating alginate membranes with tailored properties.

In conventional ceiling fans, rotating blades generate airflow, but they often pose safety risks, consume more energy, and have limitations in uniform air distribution. To overcome these challenges, this project presents the design and analysis of a bladeless ceiling fan utilizing an impeller-driven airflow system. The proposed design incorporates a NACA series blade profile to optimize airflow efficiency and enhance the lift-to-drag ratio for improved performance.

A pesticide spraying quadcopters, also known as an agricultural drone, is an unmanned aerial vehicle (UAV) that is designed for spraying pesticides and other agricultural chemicals over crops. These drones are equipped with specialized spray nozzles and tanks that can be filled with various types of pesticides and herbicides, allowing for precise and efficient application of these chemicals.

Industrial workplaces, especially construction sites and manufacturing plants, are prone to accidents such as falls and impact hazards, which can result in severe injuries or fatalities. This project introduces a Smart Hard Hat designed to enhance worker safety by detecting falls and obstacles. The system integrates an Arduino microcontroller, a vibration sensor, a rechargeable battery, and a buzzer, all embedded in a standard hard hat.

Augmented Reality (AR) and Virtual Reality (VR) are transforming the way people learn and engage with content. In education, these immersive technologies enhance learning experiences by providing interactive simulations, virtual field trips, and hands-on training in various disciplines. In entertainment, AR and VR are revolutionizing gaming, film, and live events by offering audiences engaging and immersive experiences.

This paper introduces an efficient and scalable solution for automating data extraction and report generation using Python. In data-intensive organizations, especially those leveraging Oracle databases, transforming raw data into actionable insights typically involves the labor-intensive creation of structured Excel reports. Our proposed approach utilizes key Python libraries—including pandas for data manipulation, cx_Oracle for database connectivity, and openpyxl for Excel file generation—to streamline the entire workflow.

Accident detection and emergency response systems play a crucial role in reducing fatalities and ensuring timely medical intervention. This project presents an intelligent accident detection system using an accelerometer-based impact sensor, heart rate monitoring, and GPS-based location tracking. The system integrates an ADXL345 accelerometer to detect sudden impacts, triggering an alert mechanism upon exceeding a predefined threshold.

This research introduces a frequency-selective surface (FSS) through a dual-band stop designed specifically for wireless local area network (WLAN) running on 2.4 GHz besides 5 GHz. The dimensions of the element cell are 0.2 λ × 0.2 λ, wherever λ denotes the wavelength of its initial resonant frequency. FR4 takes a thickness of 7.1 mm, a permittivity of 3.2, and a loss tangent of 0.025.

The present study was conducted to investigate the effects of Magnesium (Mg), Zinc (Zn), and Boron (B) on the growth and fiber yield of BJRI Tossa Pat-8, a prominent jute variety, under varying nutrient levels. The experiment was carried out at two different locations, Kishoreganj and Manikganj, in 2023, using a Randomized Complete Block Design (RCBD) with three replications.

Addressing the dual challenges of a growing global population and climate change is essential for ensuring food security and sustainable agriculture. By 2050, agricultural output must rise by 60%, yet climate variability continues to disrupt farming systems through erratic weather, degraded soils, and extreme events. Traditional farming practices contribute significantly to greenhouse gas (GHG) emissions, intensifying climate impacts.