Energy Harvesting-Enabled Self‑Powered Internet of Things Systems: A Comprehensive Review of Multi‑Source Architectures and Ultra‑Low‑Power Integration

The rapid expansion of the Internet of Things (IoT) has created a strong demand for sustainable, reliable, and maintenance-free power sources for distributed sensor nodes. Traditional battery-powered IoT systems suffer from limited lifetime, frequent replacement requirements, high maintenance costs, scalability limitations, and environmental concerns. Energy harvesting provides an attractive alternative by converting ambient sources such …

Energy Harvesting-Enabled Self‑Powered Internet of Things Systems: A Comprehensive Review of Multi‑Source Architectures and Ultra‑Low‑Power IntegrationRead More

A Review of Usage, Challenges, and Sustainable Innovations of Plastic Packaging in Sri Lanka

This study evaluates the issues in plastic packaging in Sri Lanka through its usage and environmental and health challenges. The target of this paper is integrating the knowledge about single-use plastics, evaluating the current waste management practices, and finding sustainable packaging. This review proposes actionable strategies for transitioning towards a sustainable circular economy and packaging …

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Material Selection Criteria for Lightweight Design in Commercial Aircraft

Reducing structural weight in commercial aircraft is critical because it improves fuel efficiency, payload capacity, environmental performance, operating load, and maintenance cost. This study examines material selection criteria for lightweight aircraft design using the Boeing 777 family as a case study. Material selection depends on factors such as strength-to-weight ratio, stiffness-to-weight ratio, fatigue resistance, impact …

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A Review of Deep Learning-Based Automated Biometric Attendance Monitoring Systems for Educational Institutions: Algorithms, Architectures, and Deployment Challenges

Automated biometric attendance monitoring has emerged as a critical research domain within educational technology, driven by the persistent limitations of conventional attendance methods such as manual roll calls, sign-in sheets, and card-based systems. Recent advances in deep learning and computer vision have substantially transformed this field, enabling the development of robust, contactless, and scalable face …

A Review of Deep Learning-Based Automated Biometric Attendance Monitoring Systems for Educational Institutions: Algorithms, Architectures, and Deployment ChallengesRead More

Labor Force Participation Gaps in Sri Lanka, Gender Disparities, Youth Unemployment, and Sectoral Shifts

This study examines the evolution of Sri Lanka’s labor market over the critical decade spanning 2014-2024, analyzing data from the Annual Labour Force Survey to identify structural transformations, persistent inequalities, and emerging challenges. Using a decade-long longitudinal analysis, the research investigates trends in labor force participation rates, unemployment patterns disaggregated by gender and age, sectoral …

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