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Integrating Blockchain Technology in 5G enabled IoT: A Review
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
In the digitized world, Internet of thing(IoT) is growing rapidly and most of the devices are connected by internet technology. IoT connected more than 5 million devices across the world and it needs high power internet ...
Blockchain and Learning-Based Computation Offloading in Space-Assisted Power IoT
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Power systems impose stringent security and delay requirements on computation offloading, which cannot be satisfied by existing PIoT. In this paper, we address this challenge by combining blockchain and machine learning. ...
On ambient temperature of transformer substations in desert climates
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Ambienttemperatures used as inputs for transformer prediction, monitoring, or aging algorithms are normally obtained from the atmospheric data available from local and international meteorological agencies. While easy to ...
CE-D2D: Collaborative and Popularity-aware Proactive Chunks Caching in Edge Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Leveraging video caching to collaborative Mobile Edge Computing (MEC) servers is an emerging paradigm, where cloud computing services are extended to edge networks to allocate multimedia contents close to end-users. However, ...
Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Commercial unmanned aerial vehicles, or drones, are getting increasingly popular in the last few years. The fact that these drones are highly accessible to public may bring a range of security and technical issues to ...
Weighted Trustworthiness for ML Based Attacks Classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Recently, machine learning techniques are gaining a lot of interest in security applications as they exhibit fast processing with real-time predictions. One of the significant challenges in the implementation of these ...
Five-phase twenty-seven level inverter using single DC source for photovoltaic application
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Multiphase (more than three-phase) systems have major advantages compared to a conventional three-phase system. A machine with higher number of phases can have high power and torque with less rating of components. Cascaded ...
A Greedy Layer-Wise Learning Algorithm for Open-Circuit Fault Diagnosis of Grid-Connected Inverters
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
This paper introduces a greedy layer-wise learning algorithm to diagnose open-circuit faults of grid-connected inverters. Inverters play important roles in energy conversion, especially when converting direct current to ...
A Modified Boost Converter with Triswitching State and VLSI module for DC Nanogrid Application
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
In this paper, new members of the Modified Boost Converter (MBC) family are introduced named as Modified tri switching state boost converter (MTSSB) with voltage boosting module. Additionally, one more extra switching mode ...
Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
With the rapid elevation of technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI), the traditional cloud analytics-based approach is not suitable for a long time and secure health monitoring ...