Guest Editors (Names, emails, affiliations, phones, links)
Dr. Wydyanto, Faculty Science Technology , Universitas Bina Darma
Palembang, Indonesia
Email: Wydyanto@binadarma.ac.id, prof.wydyanto@outlook.com
Google Scholar: https://scholar.google.com/citations?user=1KUPj5kAAAAJ&hl=en
Dr. Norshita Mat Nayan
Institute of Visual Informatics
Universiti Kebangsaan Malaysia,
Malaysia
Email: norshitaivi@ukm.edu.my
Google Scholar: https://scholar.google.co.uk/citations?user=smSKMCUAAAAJ&hl=en
Dr. Mohammad Sobri
Department of Information Management
Universitas Bina Darma
Palembang, Indonesia
Email: sobri@binadarma.ic.id
Google Scholar: https://scholar.google.co.id/citations?user=FTChEKIAAAAJ&hl=en
AIMS AND SCOPE or INTRODUCTION
Radiation poses a significant threat to human health due to its invisible nature and long-term biological impact. Historical events such as the Chernobyl disaster highlight the devastating consequences of unmonitored nuclear exposure. While radiometers and dosimeters have improved awareness, many existing systems lack portability real-time data access and affordability for public use. As environmental protection and disaster mitigation gain ground, the convergence of microcontroller-based systems and sophisticated sensing technology provides a viable way forward. Such systems, especially when used as components of wireless sensor networks (WSNs) facilitate continuous remote monitoring in danger or risk-prone zones. Microcontrollers are the foundation of embedded applications recently with support for low-power consumption, real-time computation and interfacing with communication modules. The continuous development of effective, smart sensing platforms represents a major advance toward scalable and affordable radiation detection technologies designed for use in both public safety and industry.
The development of a microcontroller-based sensor automation system presents a viable solution to solve current radiation monitoring issues. Future systems will have to be light-weight, energy-efficient and autonomous to operate in remote or extreme environments without the intervention of man. The use of microcontrollers coupled with radiation sensors, wireless communication modules and edge computing feature allows such systems to carry out real-time detection, data logging and threshold-based generation of alerts. The objective is to create an affordable, modular framework allowing a variety of sensors such as Geiger-Müller tubes or semiconductor detectors to monitor the environment at different locations. The systems can be made more robust by adding solar power units, Low-Power Wide-Area Network (LPWAN) protocols such as LoRa or Zigbee and cloud-based dashboards for monitoring from a central point. Subsequent versions could further incorporate GPS functionality for geo-tagging radiation hotspots and AI-driven anomaly detection algorithms to support intelligent decision-making. However, the goal is to provide a scalable, secure and hardened system that not only enhances disaster relief mechanisms but also enables proactive risk avoidance in zones around nuclear facilities, medical laboratories and other radiation-risk zones.
In this issue, we introduce a novel radiation monitoring scheme through the concept of a microcontroller-driven sensor automation system for real-time, remote and energy-saving use. This system combines radiation sensors, wireless connectivity and edge computing in enabling large-scale, low-cost and autonomous monitoring schemes. We highlight future evolution such as integration with GPS, artificial intelligence-based analysis and dashboards based on cloud infrastructure for maximizing public safety and disaster management. Our mission is to provide intelligent, secure and hardened radiation detection over high-risk areas.
| .
LIST OF TOPICS:
1. Development of a quantitative monotoring systems for remote and sensitive energy environments 2. Design and Implementation of an I2C-Based Sensor Network for Real-Time Data Acquisition. 3. LoRa-Enabled Remote Sensing System for Long-Range Environmental Monitoring. 4. MicroPython Approach to Sensor Automation in Embedded IoT Applications. 5. Smart Irrigation System Using Soil Moisture Sensors and Microcontroller-Based Automation. 6. Development of an Air Quality Monitoring System for Urban Environments Using Embedded Sensors. 7. Low-Cost Biomedical Monitoring System for Home-Based Healthcare Using Microcontroller and Sensors. 8. Automated Waste Management Using Ultrasonic Sensors and Microcontroller Integration in Smart Cities. 9. An Intelligent HVAC Control System for Smart Homes Using Temperature and Humidity Sensors. 10. Integration of Zigbee Protocol in Wireless Sensor Networks for Industrial Automation. 11. Secure MQTT Communication for Microcontroller-Based IoT Sensor Systems. 12. Battery Optimization in Sensor Nodes Using Low-Power ARM Cortex Microcontrollers. 13. An IoT-Based Smart Parking System Using Ultrasonic Sensors and Wi-Fi Communication. 14. Development of a Bluetooth-Controlled Intrusion Detection System Using PIR Sensors.
INSTRUCTIONS TO AUTHORS ARE AT: https://www.newmaterials.ca/instructions-for-authors/
COMMUNICATIONS AND SEND THE MANUSCRIPTS TO Dr. Whdyanto: Or to: JNMES@polymtl.ca ; Please add the special issue title on each document of correspondence including the manuscripts to be submitted. The submitted manuscripts should not have been previously published, nor should they be currently under consideration for publication elsewhere.
IMPORTANT DATES: • Manuscript submissions due: 10.07.2026 • First round of reviews completed: 10.09.2026 • Revised manuscripts due: 10.11.2026 • Final manuscripts due: 15.01.2027
|