IEEE Consumer Electronics Magazine - May/June 2022 - 4

From the Editor's Desk
Proliferation of Internet-of-Things
Devices in Consumer Technologies
Norbert Herencsar
Brno University of Technology
& I WELCOME THE readers to the third issue of
the year 2022, the May/June issue of the IEEE
Consumer Electronics Magazine (MCE). The proliferation
of Internet-of-Things (IoT) devices continues
unabated in the consumer and commercial
domains. Recent research reports explosive
growth in terms of the number of devices and the
data volume is expected to reach 79.4 zettabytes
by 2025. Consequently, analytics expects the IoT
market spending to grow from $151B in 2018 to
$1567B by 2025, with a compound annual growth
rate of 34%. IoT is becoming indispensable to
the manufacturing industry, asset monitoring,
manufacturing operational intelligence, remote
servicing, remote monitoring, and predictive
maintenance. Immense potential benefits include
improved quality of life, increased manufacturing
operational efficiency, more productive agriculture,
ameliorated healthcare, and enriched wellbeing.
Therefore, it is my pleasure to introduce a
collection of high-quality articles dedicated to IoT
in this issue.
COLUMN
Can Consumer Electronics Be Truly Open?:
This column discusses to what extent it is possible
to develop fully open-source (OS) consumer
electronics (CE). The main past and present contributions
of OS hardware and networking and
Digital Object Identifier 10.1109/MCE.2022.3169402
Date ofcurrent version 3 May 2022.
their relationship with OS software initiatives
are reviewed, and the main challenges and
opportunities opened up in the context of OS CE
are discussed.
FEATURE ARTICLES
ConsumerArtificial Intelligence Mishaps andMitigation
Strategies: This article presents a timely
survey of artificial intelligence (AI)-induced mishaps
related to consumer applications. It also
offers suggestions onmitigating strategies to manage
the undesirable side effects of using AI for consumer
applications, hence creating awareness of
current issues and encouraging other researchers
in the consumer technology community to build
better AI consumer applications.
A System Design for Monitoring the Violation
of Home Quarantine: In this article, a solution is
presented for monitoring the violation of home
quarantine for preventing coronavirus spreading
based on the Internet of Things (IoT) and cloud
computing technologies. The deep learning convolutional
neural network is trained on the
cloud with images of quarantine subjects for face
recognition.
A Trusted Hybrid Learning Approach to Secure
Edge Computing: This article proposes a hybrid
learning security framework that combines the
expertise of security experts and the strength of
machine learning to protect the edge computing
network, which has a vital role in the 5G networks,
from known and unknown attacks while
minimizing the false detection rate.
4
2162-2248 ß 2022 IEEE
Published by the IEEE Consumer Technology Society
IEEE Consumer Electronics Magazine
IEEE Consumer Electronics Magazine - May/June 2022

Table of Contents for the Digital Edition of IEEE Consumer Electronics Magazine - May/June 2022
