IEEE Systems, Man and Cybernetics Magazine - April 2023 - 2

Editorial
by Tingwen Huang
Optimization Theory
and Application for
Intelligent Systems
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 highly appreciate the
effort of former editor-in-chief Prof.
Haibin Zhu in the editing process of
collecting the exciting feature articles
for this issue.
The first article, " Universal Optimization
Framework of LeaderCentered
Learning Team Formation
Based on Fuzzy Evaluations of Learners
and E-CARGO " [A1], is contributed
by a group of researchers from
Hunan Normal University, China. The
authors think that creating an appropriate
learning team is crucial for the
achievement of collaborative learning
in online and offline learning environments.
They discovered that the
problems associated with learning
team formation (LTF) possess standard
features, suggesting that all LTF
problems can be essentially considered
role-based collaboration (RBC)
problems. Therefore, by drawing on
the characteristics of two represen -
tative leader-centered (LC) LTF problems,
they put forward a universal
optimization framework of LC-LTF
that
incorporates RBC theory. This
framework evaluates the comprehensive
ability of learners via a fuzzy
description mechanism; employs the
environments-classes, agents, roles,
Digital Object Identifier 10.1109/MSMC.2023.3250064
Date of current version: 25 April 2023
2
configurations. Through this analysis,
they find the best architecture for
the optimum configuration as well as
the optimum sizing of various components
involved in the DCMG. I believe
that the proposed DCMG system will
supply reliable power to the buildings
in Aruppukottai.
The third article, " Addressee DeTingwen
Huang
groups, and objects model to define
the LC-LTF problem; and utilizes an
optimization platform to derive the
optimal solution. Finally, the authors
demonstrate the effectiveness and
feasibility of the proposed framework
by implementing a case study.
The second article, " Optimum Sizing
and Modeling of Stand-Alone DC
Microgrid With Hybrid Energy Storage
System for Domestic Applications "
[A2], is presented by a research team
from Vellore Institute of Technology
and B V Raju Institute of Technology
in India. The authors are committed to
finding a dc microgrid (DCMG) system
that is more suitable for the location
of Aruppukottai, in the southern region
of Tamil Nadu, India. Combined
with various resources, they evaluate
the outcomes of all feasible system
IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE April 2023
tection Using Facial and Audio Features
in Mixed Human-Human and
Human-Robot Settings " [A3], is accomplished
by a group of researchers
from Zhejiang Lab, China. The
authors think that current addressee
detection (AD) datasets lack utility in
facilitating research toward providing
robots with the ability to naturally
interact with humans. Thus, by
extending the MuMMER dataset and
including spatiotemporal annotations
of spoken activity, they create an
E-MuMMER dataset that can record
in human-to-human and human-torobot
settings. Moreover, they propose
ADNet, a two stream-based deep
learning framework that incorporates
long-term and short-term audiovisual
features to anticipate the addressee.
This article proposes a fresh paradigm
for AD exploration, and the results
show that the proposed model is
capable of learning complicated patterns
and predicting the addressee in
diverse circumstances. I believe this
novel approach can serve as a useful
reference for researchers who are
keenly interested in the field.
The fourth article, " Synthetic Datasets
for Numeric Uncertainty Quantification "
[A4], written by a team of
researchers from Deakin University,
Australia, proposes datasets for future
researchers. With the hope of
helping future researchers in developing
novel machine learning and deep
learning algorithms, the authors propose
10 synthetic datasets for point
prediction and numeric uncertainty
https://www.orcid.org/0000-0001-9610-846X
IEEE Systems, Man and Cybernetics Magazine - April 2023

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