Archives

  • Enhancing Coal Mine Worker Safety Using IOT
    Vol. 1 No. 01 (2024)

    Abstract

    Coal mining is a hazardous occupation, with workers exposed to numerous risks such as toxic gas leaks, cave-ins, high temperatures, and heavy machinery. Traditional safety measures often fail to provide real-time data, which limits proactive response in dangerous situations. Recent advancements in technology, particularly the integration of LoRa (Long Range) communication modules into safety helmets, offer promising solutions for real-time monitoring and early hazard detection. This paper reviews the development and implementation of safety helmets integrated with LoRa modules for improving coal mine worker safety. We explore the key technologies, the benefits of LoRa communication, and the practical applications of these systems in monitoring worker health, environmental conditions, and overall safety.

    Keywords

    Coal Mine Safety, Worker Monitoring, Safety Helmet, LoRa, Real-Time Monitoring, Wireless Communication, Hazard Detection

  • Advanced Health Monitoring using IoT and Machine Learning for Enhanced Patient Care
    Vol. 1 No. 01 (2024)

    The integration of Internet of Things (IoT) and Machine Learning (ML) technologies in healthcare has revolutionized patient monitoring, enabling real-time health tracking, personalized care, and predictive analytics. This paper reviews the development and application of IoT-based health monitoring systems enhanced with ML algorithms to improve patient care. We explore the key components of such systems, their benefits in clinical settings, challenges related to data privacy and system integration, and the potential for future innovations in smart healthcare. This review provides insights into how IoT and ML can contribute to better management of chronic diseases, early detection of health issues, and overall improved patient outcomes.

    Keywords

    IoT, Machine Learning, Health Monitoring, Smart Healthcare, Wearable Devices, Predictive Analytics, Patient Care, Telemedicine, Healthcare System

  • IoT-Based Greenhouse Monitoring and Control System
    Vol. 1 No. 01 (2024)

    Abstract

    The global demand for food production is increasing, and greenhouse farming presents a sustainable solution by enabling controlled environments for plant growth. The advent of the Internet of Things (IoT) has significantly improved greenhouse management by integrating advanced sensors, communication systems, and automation. This paper reviews the development and application of IoT-based greenhouse monitoring and control systems, which help optimize resource usage, improve crop yield, and reduce human intervention. We discuss the key components of IoT systems in greenhouses, their benefits, challenges, and the future prospects of these technologies in sustainable agriculture.

    Keywords

    Greenhouse, IoT, Smart Farming, Environmental Monitoring, Automation, Sensors, Agriculture, Resource Management

  • Design and Implementation of an IoT-Based Automated Gas Leak Detection and Mitigation System
    Vol. 1 No. 01 (2024)

    Abstract:

    Gas leakages pose a significant threat to the health and safety of living beings, particularly in industrial settings, where the risks are compounded due to the nature of the gases involved. The direct exposure to harmful gases can lead to severe health complications, environmental degradation, and even loss of life. In such scenarios, the role of human intervention becomes critical. However, human decision-making can be prone to errors, especially when under pressure. Therefore, there is an urgent need for an automated system that can continuously monitor gas leakage situations and initiate corrective actions.

    This paper proposes a gas detection system that bypasses human intervention by using sensors and microcontrollers to detect and mitigate gas leaks. The system integrates various components, including a gas sensor, an IoT-based monitoring system, an alarm, an LCD display, and a sprinkler system to manage leaks. The proposed system sends notifications to personnel through mobile applications connected via Wi-Fi and sends emails to relevant authorities. This ensures that the situation is monitored at all times, and timely actions can be taken without delay. The goal of this system is to provide a real-time, automated, and efficient method for detecting and managing gas leaks in industrial environments.

    Keywords: Gas Detection System, Sensor, Alarm, Monitoring System, IoT Infrastructure, Cloud-Based Applet, Data Analytics.

  • A Comprehensive Review of Solar Chimney Power Generation Technology
    Vol. 1 No. 01 (2024)

    Abstract

    Solar chimney power generation (SCPG) technology is a renewable energy concept that utilizes solar energy to generate electricity through a large, vertical chimney, which induces an upward airflow that drives turbines connected to generators. SCPG is based on the principles of thermodynamics and the greenhouse effect, where the solar energy heats the air under a large glass-covered area (collector), causing it to rise and pass through a chimney, thus driving a turbine. This technology is highly promising for producing large-scale, sustainable, and environment-friendly energy. This review examines the working principles, design parameters, potential applications, and recent advancements in solar chimney power generation, highlighting the challenges and future prospects for widespread deployment.