Search results for “open source platforms”

Published Subscription Review Article 8 Sep 2025

Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study

By Ch. Manikanta Kalyan, Manas Kumar Yogi

Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …

Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article

Published Subscription Review Article 22 Apr 2025

Real-Time Video Surveillance Using ESP-32 CAM for IoT Applications

By Monika Kapoor, Aashutosh Sharma, Jasleen Kaur Minhas, Kartik Bakshi, Khushi Kumari

Abstract: The rapid advancements in technology and the growing concerns for security have driven the need for innovative, cost-effective, and scalable surveillance systems. This project presents the development of a smart surveillance system using the ESP-32 CAM module, a compact and low-cost microcontroller integrated with Wi-Fi, Bluetooth, and a high-resolution OV2640 camera. The system is designed to provide real-time monitoring, motion detection, and automated alert features, catering to the security needs …

Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 26–35 Read article

Published Subscription Review Article 15 Apr 2025

Real-Time Cab Fare and ETA Prediction Using API Integration

By Deep Rane, Adesh Pagar, Harshada Kadam, Vedant Raut, Sharayu Patil

Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …

Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article