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

Editorial
by Haibin Zhu
Human Brains Plus
Abstract Thinking
Bring in the Progress
of Technologies
T
his is my first editorial for
IEEE Systems, Man, and
Cybernetics Magazine, and I
am honored to take the role as its
editor-in-chief. I appreciate the
effort of former Editor-in-Chief Prof.
Saeid Nahavandi in the editing process
of collecting the exciting feature
articles for this issue.
The first article, " Frontiers of
Brain-Inspired Autonomous Systems:
How Does Defense R&D Drive the
Innovations? " presents new insights
into autonomous systems of a top defense
scientist of Canada and a group
of highly active IEEE fellows in the
IEEE Systems, Man, and Cybernetics
Society. The authors propose that
a brain-inspired intelligent adaptive
system (IAS) will bring in fundamental
breakthroughs in the cognitive
aspect of humans and the incompetence
of artificial intelligence. In
practice, IASs have led to defense science
and technology innovations for
trustworthy mission-critical autonomous
systems. They deem that these
paradigms will empower highly automated
systems to think and behave
like humans for generating collective
intelligence. They believe that IASbased
autonomous systems not only
fostered the development of a series
of novel theories and methodologies,
Digital Object Identifier 10.1109/MSMC.2022.3148912
Date of current version: 25 April 2022
4
lecting information from hardware
components. A major challenge of
HEMSs is their vulnerability to cyberattacks.
A cyberattacker may influence
the pricing information of a
customer's HEMS and finally lead to
wrong automation outputs. This article
introduces demand-response
(DR)-based DSM in HEMSs and discusses
DR optimization using heuristic
algorithms. Moreover, it discusses
the potential impacts of cyberattacks
and the effectiveness of heuristic algorithms
against
them. This article
also presents open questions for future
research work.
Interestingly, tensors, a mathematical
model, are applied in the other two
articles, which use tensors in modeling
the related industry applications.
The third article, " Tensor-Based
Haibin Zhu
but also paved unprecedented paths
to innovative applications in the defense
and general industries.
The second article, " Home Energy
Management Systems: Operation and
Resilience of Heuristics Against Cyberattacks, "
is dedicated to a group
of researchers from Lappeenranta
University of Technology, Finland.
They think that the Internet of Things
and advanced communication technologies
have demonstrated great potential
to manage residential energy
resources by enabling demand-side
management (DSM). Home energy
management systems (HEMSs) can
provide automatic control for electricity
production and usage inside
homes using DSM techniques by colIEEE
SYSTEMS, MAN, & CYBERNETICS MAGAZINE April 2022
Knowledge Fusion and Reasoning
for Cyberphysical-Social Systems, "
is contributed by a research team at
Huazhong University of Science and
Technology, China. They think that
cyberphysical social systems (CPSSs)
integrate human, machine, and information
into large-scale automated
systems and generate complex heterogeneous
big data from multiple
sources. Traditionally, knowledge
graphs and the Resource Description
Framework are used to describe
knowledge in designing CPSSs. However,
the
authors believe that
the
graph structure does not have flexibility
and computability in the theoretical
framework, even though it is easily
understandable. Therefore,
they
propose a tensor-based knowledge
analysis framework that supports the
computability of knowledge graphs.
They first employ Boolean tensors to
represent heterogeneous knowledge
graphs and then present a series of
graph tensor operations of high-order
knowledge graphs. Furthermore, they
perform a tensor 1-mode product
IEEE Systems, Man and Cybernetics Magazine - April 2022

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