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Journals
Inventions
Special Issues
From Sensing Technology Towards Digital Twin in Applications
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Special Issue "From Sensing Technology Towards Digital Twin in Applications"

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and innovation in Design, Modeling and Computing Methods".

Deadline for manuscript submissions: 30 September 2023 | Viewed by 1567

Special Issue Editor

Dr. Jianxiong Zhu

E-Mail Website
Guest Editor
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
Interests: gas sensors; machine learning; physical sensor
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sensing technology drives the motivation of innovation in digital technology, especially the technology in data acquisition, machine learning, digital twin, and sustainable materials-based electronics. With the aid of the new technologies in sensing, human–machine connection, data handling, machine learning, and digital twin in the industrial area, a general conclusion on these technologies needs to be concluded for researchers in further thinking. Therefore, sensing towards digital twin technology has been studied and integrated into many fields in extensive application in traditional industrial fields, such as automatic driving, smart city, medical care, intelligent robot, etc. 

This Special Issue is aimed at providing selected contributions on advances in physical sensing in machine learning, human–machine interface, data confusion, and various potential applications from sensors towards digital twin innovation. Potential topics include, but are not limited to:

  • Physical sensing technologies, such as wearable sensors, nano/microsensors;
  • Data confusion and machine learning;
  • Modeling and simulation technology of virtual space;
  • Human–computer interaction and collaboration between virtual models and physical entities;
  • Intelligent decision-making based on digital twin technology;
  • Human factors analysis and optimization related to a digital twin.

Special thanks to Dr. Wenyu Wu for his assistance and great support in this Special Issue.

Dr. Jianxiong Zhu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Inventions is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • physical sensing
  • machine learning
  • data management
  • human–computer interaction and collaboration
  • dynamic evaluation
  • intelligent decision-making
  • visualization
  • digital twin
  • smart system

Published Papers (2 papers)

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Article
Research on the Design of Virtual Reality Online Education Information Presentation Based on Multi-Sensory Cognition
by
Wen-Yu Wu
,
Jia-Yu Guo
,
Ying-Jing Li
and
Ying-Liang Sun
Inventions 2023, 8(2), 63; https://doi.org/10.3390/inventions8020063 - 20 Apr 2023
Viewed by 596
Abstract
The popularity of the online teaching model increased during the COVID-19, and virtual reality online education is now firmly established as a future trend in educational growth. Human–computer interaction and collaboration between virtual models and physical entities, as well as virtual multi-sensory cognition, [...] Read more.
The popularity of the online teaching model increased during the COVID-19, and virtual reality online education is now firmly established as a future trend in educational growth. Human–computer interaction and collaboration between virtual models and physical entities, as well as virtual multi-sensory cognition, have become the focus of research in the field of online education. In this paper, we analyze the mapping form of teaching information and cue information on users’ cognition through an experimental system and investigate the effects of the presentation form of online virtual teaching information, the length of the material, users’ memory of the information, and the presentation form of information cues on users’ cognitive performance. The experimental results show that different instructional information and cue presentation designs have significant effects on users’ learning performance, with relatively longer instructional content being more effective and users being more likely to mechanically remember the learning materials. By studying the impact of multi-sensory information presentation on users’ cognition, the output design of instructional information can be optimized, cognitive resources can be reasonably allocated, and learning effectiveness can be ensured, which is of great significance for virtual education research in digital twins. Full article
(This article belongs to the Special Issue From Sensing Technology Towards Digital Twin in Applications)
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Article
Low-Cost Systematic Methodology for Rapidly Constructing a Physiological Monitoring Interface in ICU
by
Ke-Feng Lin
,
Shih-Sung Lin
and
Ping-Nan Chen
Inventions 2023, 8(2), 50; https://doi.org/10.3390/inventions8020050 - 22 Feb 2023
Viewed by 618
Abstract
During the COVID-19 pandemic, which emerged in 2020, many patients were treated in isolation wards because of the high infectivity and long incubation period of COVID-19. Therefore, monitoring systems have become critical to patient care and to safeguard medical professional safety. The user [...] Read more.
During the COVID-19 pandemic, which emerged in 2020, many patients were treated in isolation wards because of the high infectivity and long incubation period of COVID-19. Therefore, monitoring systems have become critical to patient care and to safeguard medical professional safety. The user interface is very important to the surveillance system; therefore, we used web technology to develop a system that can create an interface based on user needs. When the surveillance scene needs to be changed, the surveillance location can be changed at any time, effectively reducing the costs and time required, so that patients can achieve timely and appropriate goals of treatment. ZigBee was employed to develop a monitoring system for intensive care units (ICUs). Unlike conventional GUIs, the proposed GUI enables the monitoring of various aspects of a patient, and the monitoring interface can be modified according to the user needs. A simulated ICU environment monitoring system was designed to test the effectiveness of the system. The simulated environment and monitoring nodes were set up at positions consistent with the actual clinical environments to measure the time required to switch between the monitoring scenes or targets on the GUI. A novel system that can construct ZigBee-simulated graphical monitoring interfaces on demand was proposed in this study. The locations of the ZigBee monitoring nodes in the user interface can be changed at any time. The time required to deploy the monitoring system developed in this study was 4 min on average, which is much shorter than the time required for conventional methods (131 min). The system can effectively overcome the limitations of the conventional design methods for monitoring interfaces. This system can be used to simultaneously monitor the basic physiological data of numerous patients, enabling nursing professionals to instantly determine patient status and provide appropriate treatments. The proposed monitoring system can be applied to remote medical care after official adoption. Full article
(This article belongs to the Special Issue From Sensing Technology Towards Digital Twin in Applications)
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