A machine learning approach for IoT cultural data

F Piccialli, S Cuomo, VS Cola, G Casolla - Journal of Ambient Intelligence …, 2024 - Springer
The data science discipline can play a crucial role in develo** effective data driven
strategies for the valorization and promotion of the cultural heritage (CH) domain. Machine …

An efficient group signcryption scheme supporting batch verification for securing transmitted data in the Internet of Things

A Alamer - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
This paper presents a novel secure and privacy-preserving scheme for enhancing the
security of transmitted data in an Internet of Things (IoT) environment. The proposed scheme …

[HTML][HTML] Low-power on-chip implementation of enhanced svm algorithm for sensors fusion-based activity classification in lightweighted edge devices

J Chang, M Kang, D Park - Electronics, 2022 - mdpi.com
Smart homes assist users by providing convenient services from activity classification with
the help of machine learning (ML) technology. However, most of the conventional high …

[HTML][HTML] Low-power beam-switching technique for power-efficient collaborative IoT edge devices

S Oh, D Park - Applied Sciences, 2021 - mdpi.com
Collaborative beamforming (CB) enables uplink transmission in a wireless sensor network
(WSN) composed of sensors (nodes) and far-away access points (APs). It can also be …

Accelerated SVM Algorithm for Sensors Fusion-based Activity Classification in Lightweighted Edge Devices

J Chang, M Kang, D Park - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Smart homes assist users by providing convenient services from human activity
classification with the help of machine learning (ML) technology. However, most of the …

IoT and Machine Learning

MS Kirtan, A Gupta, A Yadav, N Bhardwaj… - Internet of …, 2023 - taylorfrancis.com
Your phones, tablets or PCs may trick you to think that our entire world is connected. But the
truth is only about 5% of our physical world is connected. In 2019, there were approximately …

Metamorphic Edge Processor Simulation Framework Using Flexible Runtime Partial Replacement of Software-Embedded Verilog RTL Models

J Kwon, S Oh, D Park - 2021 IEEE International Symposium on …, 2021 - ieeexplore.ieee.org
Iterative register-transfer level (RTL) simulation is essential for the edge processor design,
but the RTL simulation speed is significantly slower in a system where various RTL models …