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2 articles for “IoT-based black box”

• Published Subscription Review Article 14 Sep 2024

  IoT-based Black Box Monitoring for Vehicle Crash Data Analysis and Improving Safety

  By Akash Sanjay Patil, Hashmi Syed Naim, Reshal Naresh Waghmare, Suvarna Rohile

  Abstract: Road accidents are a significant global concern. This project proposes an Internet of Things (IoT)-based black box monitoring system for vehicles to enhance road safety through comprehensive crash data analysis. The system expands on traditional black boxes by incorporating various sensors (accelerometers, gyroscopes, GPS) and potentially in-cabin cameras (with privacy safeguards). This data offers a deeper understanding of crash dynamics, including impact severity, vehicle motion, and safety system deployment timing. …

  Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 7–13 Read article →

• Published Subscription Original Research 7 Jun 2025

  ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications

  By Nagaraj G, Dillip Kumar Mohanta, Rajvardhan Jigyasu, P. Vidyullatha, Joshila Grace L K, Muthukumar Subramanian

  Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …

  Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article →