Secure 3D: Secure and Energy Efficient Localization in 3D Environment using Wireless Sensor Networks

Kalpana, A. V.; Geetha, A. V.; Jagadeesh, M. S.; Shobana, J.

doi:10.1007/s11277-024-11290-1

Wireless Pers Commun

2024

DOI: 10.1007/s11277-024-11290-1

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Secure 3D: Secure and Energy Efficient Localization in 3D Environment using Wireless Sensor Networks

A. V. Kalpana,

A. V. Geetha,

M. S. Jagadeesh

et al.

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2024

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Cited by 2 publications

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Leveraging Blockchain and IPFS for Secure Electronic Health Records Storage

Lalitha,

Suhail Sherief,

Shree Ranganathan

et al. 2024

Advances in Healthcare Information Systems and Administration

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The “Genesis” decentralized blockchain app revolutionizes Electronic Health Records (EHR) by integrating blockchain and IPFS, ensuring secure, scalable data storage. It tackles scalability with off-chain storage, ensuring data integrity via blockchain. Smart contracts grant granular access control for patients and providers, balancing privacy and accessibility. Future enhancements include cross-platform compatibility, advanced cryptography, and regulatory compliance. “Genesis” offers a robust solution and lays the groundwork for ongoing innovation in EHR management, promising to reshape healthcare information practices.

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Leveraging Blockchain and IPFS for Secure Electronic Health Records Storage

Lalitha,

Suhail Sherief,

Shree Ranganathan

et al. 2024

Advances in Healthcare Information Systems and Administration

View full text Add to dashboard Cite

show abstract

Driver Drowsiness Detection and Alert System Using Deep Learning Efficient Model With Computer Vision

Lalitha,

Shree,

Sruthi

et al. 2024

Advances in Human and Social Aspects of Technology

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The increasing number of road accidents attributed to driver drowsiness poses a significant threat to road safety worldwide. To overcome this issue, a real-time driver drowsiness detection and sound alert system using AI Techniques is proposed. This system is designed to monitor a driver's facial and eye movements to accurately assess their level of drowsiness and promptly alert them, thereby enhancing road safety and reducing accidents. The proposed system employs a combination of facial recognition, and machine learning algorithms to continuously analyze the driver's state. A camera placed within the vehicle captures real-time images of the driver's face and eyes, which are then processed and analyzed by our computer vision algorithms. Additionally, the details of the driver will be stored in a database using a website to monitor the performance of the drivers by the owners of the transport head.

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Secure 3D: Secure and Energy Efficient Localization in 3D Environment using Wireless Sensor Networks

Cited by 2 publications

References 36 publications

Leveraging Blockchain and IPFS for Secure Electronic Health Records Storage

Leveraging Blockchain and IPFS for Secure Electronic Health Records Storage

Driver Drowsiness Detection and Alert System Using Deep Learning Efficient Model With Computer Vision

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