IEEE Systems, Man and Cybernetics Magazine - October 2022 - 4

Editorial
by Haibin Zhu
Blockchain and
Artificial Intelligence
Are Also Hot Topics
in the IEEE Systems,
Man, and Cybernetics
Society
T
his issue presents three regular
feature articles and a special
section including three
articles. I appreciate the effective
efforts of the guest editors of this
special section on " Explainable
Artificial Intelligence for the Social
Internet of Things: Analysis and
Modeling Using Collaborative Technologies " :
Prof. Gaurav Dhiman
from Chandigarh University, India;
Prof. Atulya Nagar from Liverpool
Hope University, United Kingdom;
and Prof. Seifedine Kadry from
Noroff University College, Norway.
Their special issue attracted many
high-quality submissions. We decided
to publish the accepted papers
as a special section in this issue.
We believe that this special section
is beneficial for all of the related
parties, the editorial board of the
magazine, the guest editors of the
special issue, and the authors of the
accepted papers. A similar special
issue will be published in 2023.
The first feature article presented
in this issue, " On Blockchain: Design
Principle, Bui lding Blocks, Core
Innovations, and Misconceptions, "
is authored by Prof. Wenbing Zhao
Digital Object Identifier 10.1109/MSMC.2022.3205493
Date of current version: 20 October 2022
4
novations, and benefits, followed by
an analysis of data immutability. He
shows that to create an insurmountable
barrier against attacks on data
immutability, both decentralization
and system scale are necessary.
Through this analysis, Zhao further
demonstrates the benefits provided
by private and consortium
blockchains when decentralization is
removed. He also shows that private
and consortium blockchains cannot
support data immutability and
trust, as many authors have claimed
or implied, if decentralization is not
followed.
Instead,
the
centralized
version of blockchain technology provides
an elegant solution to achieving
fault tolerance and atomic contract
execution, which could make private
and consortium blockchains useful
for enterprises that would like to provide
high availability to their customers
and their internal operations.
The second article,
" A Transfer
Haibin Zhu
from Cleveland State University, OH,
United States. He believes that blockchain
has been one of the hottest research
topics recently. This technology
may lead to a new generation of
decentralized organizational architectures
and applications. However,
there are many misunderstandings
regarding blockchain. Most notably,
blockchain has been used as a
synonym for data immutability and
trust. As a matter of fact, this is incorrect.
In the article, Zhao provides
a concise description of exactly what
blockchain is, including its design
principles, building blocks, core inIEEE
SYSTEMS, MAN, & CYBERNETICS MAGAZINE October 2022
Learning-Based Method to Detect Insulator
Faults of High-Voltage Transmission
Lines via Aerial Images, " is
contributed by a research team led
by Prof. Mengchu Zhou of the New
Jersey Institute of Technology, Newark,
NJ, United States. In the article,
the authors propose a transfer learning
framework based on a pretrained
VGG-19 deep convolutional neural
network (CNN) to detect the " missing
faults " (broken insulators) in aerial
images. In their proposed method,
a large well-known imagery dataset
called ImageNet is used to train VGG19,
and then the knowledge of this
deep CNN is transferred. By using
a few layers of fine-tuning, a newly
built deep CNN is capable of distinguishing
the corrupted and intact insulators.
Their method can diagnose
the faults using aerial images taken
from transmission lines
in different
environments. The dataset used
https://orcid.org/0000-0003-1922-1631
IEEE Systems, Man and Cybernetics Magazine - October 2022

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