The scope of the IEEE Systems, Man, and Cybernetics Magazine matches the technology areas within the Society’s Field of Interest (FoI). Article subjects include the integration of the theories of communication, control, cybernetics, systems engineering, human-factors engineering, as well as their application to the variety of systems including human-machine, biological, technological, and societal. The Magazine is intended to communicate to readers about the activities and actions of the SMC Society’s governing body, its Technical Committees, and its Chapters. Furthermore, the Magazine will offer educational material such as technical review papers, publish contributions on educational activities, industrial and university profiles, conference news, book reviews, and a calendar of important events.
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Editor-in-Chief
Associate Editors
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- Bernadetta Kwintiana Ane
- Hossam Gaber
- Kazuo Kiguchi
- Chris Nemeth
- Vinod Prasad
- Mehrdad Saif
- Ying Tan
- Yingxu Wang
- Xingming Zhao
- Mali Abdollahian
- Mohammad Abdullah-Al-Wadud
- Choon Ki Ahn
- György EIgner
- Liping Fang
- Jason Gu
- Abdollah Homaifar
- Abbas Khosravi
- Vladik Kreinovich
- Kevin Kelly
- Wei Lei
- Kovács Levente
- Darius Nahavandi
- Vinod Prasad
- Hong Qiao
- S.P. Raja
- Ferat Sahin
- Bahram Shafai
- Liqiong Tang
- Peter Whitehead
- Laurence T. Yang
- Dongning Liu
- Jing Li
- Claudio Savaglio
- Agostino Marcello Mangini
- injun Shan, Canada
- Michael Zhou, China
- Dengxiu Yu, China
- Keke Huang, China
- Junjie Fu, China
- Zi-Peng Wang, China
- Qiang Xiao, China
- Jinliang Wang, China
- Xin Wang, China
- Yuezu Lv, China
- Hongjing Liang, China
- Shiping Wen, Australia
- Yushuai Li, Denmark
- Jiacun Wang
- Jinshan Tang
Articles
01 July 2023
A smart building is an emerging technology that has the potential to be used in a variety of ubiquitous computing applications. The majority of existing work for smart building monitoring consumes a significant amount of energy to communicate the sensory data from the building to the end users (EUs). This...
01 July 2023
The emerging fourth industrial revolution (industry 4.0) is leading the healthcare system toward more digitalization and smart management. For instance, recent digital healthcare solutions can help dentists/practitioners save time by managing their schedules and managing diagnosis and treatment. The proposed solution is a diagnostic module that can be integrated into...
01 April 2023
Deep vein thrombosis (DVT) is a venous reflux disorder disease caused by abnormal blood coagulation in the deep veins. It frequently occurs in the lower limbs of orthopedic patients, pregnant women, and the elderly. DVT can easily cause a pulmonary embolism (PE), a disease with a high mortality rate. Therefore,...
10 July 2024
In addition to outlining the key components of the Environments – Classes, Agents, Roles, Groups, and Objects (E-CARGO) model and Role-Based Collaboration (RBC) methodology, this article aims to serve as a comprehensive research guide for scholars and researchers embarking on investigations within their research fields. By offering persuasive and illustrative...
10 July 2024
The zeroing neural network (ZNN) has been utilized in various control applications, such as tracking and motion control. While ZNN has been widely employed, its utilization in consensus control schemes is rarely reported. In this study, we propose a novel distributed fixed-time ZNN (DFTZNN) scheme designed to achieve fixed-time and...
10 July 2024
Extensive research on the disassembly line balancing problem (DLBP) has helped remanufacturing and enhanced the reuse of discarded products. This article addresses the multiproduct biobjective parallel DLBP (PDLBP) and incorporates the hiring of workers with government benefits (WGBs). A mixed-integer linear programming (MILP) model is formulated to precisely represent the...
10 July 2024
As a result of the complexity of practical problems and the limitations of knowledge, it is often tricky for decision-makers (DMs) to give accurate information. How to accurately and effectively convey the evaluation information of DMs affects multicriteria decision-making (MCDM). Therefore, linguistically hesitant fuzzy sets can express people’s evaluations with...
10 July 2024
Collective Intelligence for Preventing Pandemic Crises: A Model-Centralized Organizational Framework
Pandemic propagation, a highly nonlinear and complicated process, is difficult to understand, predict, and prevent in reality. The explosive growth of mass data and intelligent technologies poses new insights for solving this challenge. From a systematic perspective, this article proposes an organizational framework for pandemic crisis control. As a result,...
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