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Selected Papers from the 14th International Multi-Conference on Engineering and Technology Innovation (IMETI 2025)

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: 31 July 2026 | Viewed by 3122

Special Issue Editors

Prof. Dr. Wen-Hsiang Hsieh

E-Mail Website1 Website2
Guest Editor
Department of Automation Engineering, National Formosa University, Huwei, Yunlin 632, Taiwan
Interests: innovative applications of mechanisms; mechatronics; automatic machinery
Special Issues, Collections and Topics in MDPI journals
Dr. Jia-Shing Sheu

E-Mail Website
Guest Editor
Department of Computer Science, National Taipei University of Education, Taipei, Taiwan
Interests: signal processing; pattern recognition and image processing; real time face recognition; embedded system
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Minvydas Ragulskis

E-Mail Website
Guest Editor
Department of Mathematical Modelling, Kaunas University of Technology, Studentu, Kaunas 50-146, Lithuania
Interests: development of numerical methods; modelling of optical effects; visual cryptography; nonlinear dynamical systems and chaos
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

The 14th International Multi-Conference on Engineering and Technology Innovation (IMETI 2025) will be held in Taichung, Taiwan, 24–28 October 2025. The IMETI 2025 will cover a wide range of fields in science and engineering innovation, with the aim of connecting engineering technology experts. Professionals from industry, academia, and government are welcome to discourse on research and development, professional practice, business, and management in the science and engineering fields. The IMETI 2025 comprises 4 sub-conferences (ICATI2025, ICBEI2025, ICECEI2025, ICSI2025) and more than 30 regular and special sessions (http://imeti.org/IMETI2025/; http://imeti.org/ICATI2025/). 

This Special Issue, titled "Selected Papers from the 14th International Multi-Conference on Engineering and Technology Innovation (IMETI 2025)," aims to showcase the latest advances in research and novel applications across various engineering and technology disciplines. We are particularly interested in topics within artificial intelligence (AI), materials science, civil engineering, Industry 4.0, mechatronic engineering, intelligent computing and systems, computer and information engineering, and green technology and new energy. Potential topics include, but are not limited to, the following:

  • Artificial Intelligence;
  • Materials Science;
  • Mechatronic and Robotics Engineering;
  • Electrical and Electronic Engineering;
  • Optical Engineering;
  • Civil Engineering;
  • Chemical and Biomedical Engineering;
  • Computer and Information Engineering;
  • Green Technology, New Energy, and Civil Engineering;
  • Industry 4.0 and Automation Engineering;
  • Control Engineering;
  • Mechanical Engineering;
  • Nanotechnology;
  • Environmental, Food, and Health Science and Technology;
  • Intelligent Computing and Systems;
  • Technology Management and Innovation.

Prof. Dr. Wen-Hsiang Hsieh
Dr. Jia-Shing Sheu
Prof. Dr. Minvydas Ragulskis
Guest Editors

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. Applied Sciences 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 2400 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

  • IMETI, ICATI, ICBEI, ICECEI, ICSI
  • artificial intelligence
  • Industry 4.0
  • intelligent computing and systems
  • green technology
  • materials
  • mechatronic
  • new energy

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Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (7 papers)

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Research

18 pages, 7292 KiB  
Article
Optimization of Acceleration and Driving Force for Double-Toggle Stephenson-Chain Mold Clamping Mechanisms
by Tzu-Hsia Chen and Po-Cheng Lai
Appl. Sci. 2025, 15(15), 8463; https://doi.org/10.3390/app15158463 - 30 Jul 2025
Viewed by 162
Abstract
The mold clamping mechanism is crucial in injection molding machines and significantly influences molding. This research optimizes the Stephenson-chain mechanism with double-toggle effects, particularly focusing on acceleration and driving force. A design incorporating double-toggle effects in the closed position enhances clamping force and [...] Read more.
The mold clamping mechanism is crucial in injection molding machines and significantly influences molding. This research optimizes the Stephenson-chain mechanism with double-toggle effects, particularly focusing on acceleration and driving force. A design incorporating double-toggle effects in the closed position enhances clamping force and ensures safety. For a 6-bar linkage, the Watt-chain mechanism and Stephenson-chain mechanism are available. In this paper, Stephenson-chain mechanisms were selected and subjected to a comprehensive analysis of their kinematic characteristics using vector loop and finite difference methods. The optimal design process included defining the objective function and evaluating the maximum acceleration and force ratio. The results show that the optimal Stephenson-I mechanism achieves a 1.92% increase in the maximum acceleration, and the maximum driving force decreases by 12.34% compared to the optimal Watt-chain mechanism. The Stephenson-II mechanism performs even better, with a 33.94% reduction in maximum acceleration and a 6.81% decrease in maximum driving force compared to the optimal Watt-chain mechanism. The results indicate that the Stephenson-II mechanism outperforms the Stephenson-I mechanism and other existing designs in terms of the maximum acceleration and driving force. Full article
(This article belongs to the Special Issue Selected Papers from the 14th International Multi-Conference on Engineering and Technology Innovation (IMETI 2025))
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14 pages, 1983 KiB  
Article
Numerical Approach for Predicting Levee Overtopping in River Curves Through Dimensionless Parameters
by Chanjin Jeong, Dong Hyun Kim and Seung Oh Lee
Appl. Sci. 2025, 15(15), 8422; https://doi.org/10.3390/app15158422 - 29 Jul 2025
Viewed by 202
Abstract
Recent climate changes have led to an increase in flood intensity, often resulting in frequent levee overtopping, which causes significant human and property damage. High vulnerability to such breaches is expected in general, especially at river curves. This study aims to predict the [...] Read more.
Recent climate changes have led to an increase in flood intensity, often resulting in frequent levee overtopping, which causes significant human and property damage. High vulnerability to such breaches is expected in general, especially at river curves. This study aims to predict the occurrence of levee overtopping at these critical points and to suggest a curve, the levee overtopping risk curve, to assess overtopping probabilities. For this purpose, several dimensionless parameters, such as superelevation relative to levee height (∆y/H) and the channel’s Froude number, were examined. Based on dimensional analysis, a relationship was developed, and the levee overtopping curve was finally proposed. The accuracy of this curve was validated through numerical analysis using a selected levee case, which clearly distinguished between safe and risky conditions for levee overtopping. The curve is designed for immediate integration into the hydraulic design processes, providing engineers with a reliable method for optimizing levee design to mitigate overtopping risks. It also serves as a critical decision-making tool in flood risk management, particularly for urban planning and infrastructure development in areas prone to flooding. Full article
(This article belongs to the Special Issue Selected Papers from the 14th International Multi-Conference on Engineering and Technology Innovation (IMETI 2025))
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16 pages, 1261 KiB  
Article
How the Pandemic Changes the Factors Influencing Aircraft Utilization: The Case of Korea
by Solsaem Choi, Se-Hwan Kim, Su-Hyun Lee, Wonho Suh, Sabeur Elkosantini, Seongkwan Mark Lee and Ki-Han Song
Appl. Sci. 2025, 15(15), 8405; https://doi.org/10.3390/app15158405 - 29 Jul 2025
Viewed by 213
Abstract
We investigate how the factors influencing aircraft utilization have changed during and post-Pandemic depending on the business model before. We classify the Pandemic into three periods (pre-, during and post- Pandemic) and the business models into three types (Total, FSC and LCC). For [...] Read more.
We investigate how the factors influencing aircraft utilization have changed during and post-Pandemic depending on the business model before. We classify the Pandemic into three periods (pre-, during and post- Pandemic) and the business models into three types (Total, FSC and LCC). For each group, we analyze the importance of factors using the SHAP and Random Forest models. Through group-difference tests on factor importance, we examine whether there are significant differences across the three periods and business models. According to the findings of the ANOVA (Analysis of Variance) and the Kruskal–Wallis assay, the importance of factors influencing aircraft utilization has changed across all business models over the three periods. Pre-Pandemic, a coincident index and a consumer price index were the principal factors. However, the exchange rate (KRW/EUR) gained significant importance during the Pandemic. This suggests that the Pandemic’s impact on the aviation industry was not limited to reduced demand but was also associated with changes in the importance of exchange rates and key business indicators for airline operations. Pre-Pandemic, there were significant differences among the business model groups. However, no meaningful differences were observed during and post-Pandemic. In other words, it seems that the leading indexes were closely interconnected pre-Pandemic, whereas lagging indexes and exchange rate became closely interconnected afterward. A group-difference test confirmed that no differences were observed among the business models, but differences were evident when considering the groups in their entirety. We presented the implications for changes in airline decision-making to understand changes in the aviation industry caused by the Pandemic, by identifying how the factors influencing aircraft utilization were altered. Full article
(This article belongs to the Special Issue Selected Papers from the 14th International Multi-Conference on Engineering and Technology Innovation (IMETI 2025))
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15 pages, 2337 KiB  
Article
A Vulnerability Index for Multimodal Transportation Networks: The Case of Korea
by Ki-Han Song, Ha-Jeong Lee and Wonho Suh
Appl. Sci. 2025, 15(15), 8201; https://doi.org/10.3390/app15158201 - 23 Jul 2025
Viewed by 173
Abstract
This study aimed to assess the vulnerability of transportation networks and identify critical nodes and regions within a multimodal transportation system. While previous research has predominantly focused on centrality measures to evaluate node importance from an accessibility perspective, this study emphasizes the need [...] Read more.
This study aimed to assess the vulnerability of transportation networks and identify critical nodes and regions within a multimodal transportation system. While previous research has predominantly focused on centrality measures to evaluate node importance from an accessibility perspective, this study emphasizes the need to evaluate network vulnerability comprehensively in response to rapid socioeconomic changes. We propose a vulnerability function that integrates network topology and connectivity. First, we defined the vulnerability of individual nodes and regional clusters. Second, we developed a methodology to evaluate the defined vulnerabilities systematically. Finally, we applied the framework to Korea’s multimodal transportation network, conducting a case study to validate the effectiveness and applicability of the proposed function. Conclusively, this study presents a comprehensive vulnerability assessment framework for multimodal transportation networks, offering valuable insights to support robust decision making for enhancing sustainable and efficient transportation systems. Full article
(This article belongs to the Special Issue Selected Papers from the 14th International Multi-Conference on Engineering and Technology Innovation (IMETI 2025))
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16 pages, 3611 KiB  
Article
Study on the Effectiveness of Multi-Dimensional Approaches to Urban Flood Risk Assessment
by Hyung Jun Park, Su Min Song, Dong Hyun Kim and Seung Oh Lee
Appl. Sci. 2025, 15(14), 7777; https://doi.org/10.3390/app15147777 - 11 Jul 2025
Viewed by 362
Abstract
Increasing frequency and severity of urban flooding, driven by climate change and urban population growth, present major challenges. Traditional flood control infrastructure alone cannot fully prevent flood damage, highlighting the need for a comprehensive and multi-dimensional disaster management approach. This study proposes the [...] Read more.
Increasing frequency and severity of urban flooding, driven by climate change and urban population growth, present major challenges. Traditional flood control infrastructure alone cannot fully prevent flood damage, highlighting the need for a comprehensive and multi-dimensional disaster management approach. This study proposes the Flood Risk Index for Building (FRIB)—a building-level assessment framework that integrates vulnerability, hazard, and exposure. FRIB assigns customized risk levels to individual buildings and evaluates the effectiveness of a multi-dimensional method. Compared to traditional indicators like flood depth, FRIB more accurately identifies high-risk areas by incorporating diverse risk factors. It also enables efficient resource allocation by excluding low-risk buildings, focusing efforts on high-risk zones. For example, in a case where 5124 buildings were targeted based on 1 m flood depth, applying FRIB excluded 24 buildings with “low” risk and up to 530 with “high” risk, reducing unnecessary interventions. Moreover, quantitative metrics like entropy and variance showed that as FRIB levels rise, flood depth distributions become more balanced—demonstrating that depth alone does not determine risk. In conclusion, while qualitative labels such as “very low” to “very high” aid intuitive understanding, FRIB’s quantitative, multi-dimensional approach enhances precision in urban flood management. Future research may expand FRIB’s application to varied regions, supporting tailored flood response strategies. Full article
(This article belongs to the Special Issue Selected Papers from the 14th International Multi-Conference on Engineering and Technology Innovation (IMETI 2025))
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15 pages, 1606 KiB  
Article
Link-Based Methodology for Industrial Structure Analysis: A Case Study of the Korean Transportation Logistics Industry
by Ki-Han Song, Ha-jeong Lee, Wonho Suh, Sabeur Elkosantini and Seongkwan Mark Lee
Appl. Sci. 2025, 15(14), 7685; https://doi.org/10.3390/app15147685 - 9 Jul 2025
Viewed by 290
Abstract
We present a link-centric methodology for analyzing the formation of networks in the transportation and logistics industry, advancing beyond prior research based primarily on node centrality. We graphically represent the input–output table (I/O table) indicating inter-industry transactions and propose a methodology for identifying [...] Read more.
We present a link-centric methodology for analyzing the formation of networks in the transportation and logistics industry, advancing beyond prior research based primarily on node centrality. We graphically represent the input–output table (I/O table) indicating inter-industry transactions and propose a methodology for identifying critical factors and major industries within the transportation and logistics industry by assuming the inter-industry transaction volume as the length of a link and analyzing the shortest distance between industries. Through this, we analyze the change factors within an industry and the significance of related industries. The connectivity between industries within transportation and logistics is evaluated based on the shortest distance, and the primary, secondary, and tertiary industries are classified through cluster analysis of the evaluation results. Based on an analysis of Korea’s input–output table, we derived potential industries linked to the transportation and logistics industry that were previously not identified in the results of existing node centrality indices. Additionally, our findings demonstrate that link-based network analysis offers a comparative advantage over node centrality analysis in examining the network structure of the transportation and logistics industry. We propose a new approach to understanding industrial ecosystems by presenting a methodology for industrial structure analysis based on links rather than nodes. Full article
(This article belongs to the Special Issue Selected Papers from the 14th International Multi-Conference on Engineering and Technology Innovation (IMETI 2025))
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19 pages, 4298 KiB  
Article
Injection Molding of Biodegradable Deciduous Teeth Dental Post
by Min-Wen Wang, Meng-Kun Xu and Stratain Era Hasfi
Appl. Sci. 2025, 15(13), 7414; https://doi.org/10.3390/app15137414 - 1 Jul 2025
Viewed by 1283
Abstract
Dental caries can cause premature loss of deciduous teeth, affecting children’s growth and development. Endodontic treatment using polymer posts is an effective solution. This study explores biodegradable root canal posts made from Polylactic Acid (PLA), Polycaprolactone (PCL), and amorphous calcium phosphate (ACP), aiming [...] Read more.
Dental caries can cause premature loss of deciduous teeth, affecting children’s growth and development. Endodontic treatment using polymer posts is an effective solution. This study explores biodegradable root canal posts made from Polylactic Acid (PLA), Polycaprolactone (PCL), and amorphous calcium phosphate (ACP), aiming to enhance mechanical properties, minimize polymer degradation acidity, and prevent inflammation. A root canal post with a spherical head and serrated structure was designed and produced via micromolding and optimized using the Taguchi experimental method. The melt temperature, injection speed, and holding speed were analyzed for their influence on shrinkage, revealing an optimal rate of 2.575%, representing the sum of axial and radial shrinkage. The melt temperature had the highest impact (55.932%), followed by holding speed (33.575%), with there being minimal effect from injection speed. The composite exhibited a flexural strength of 21.936 MPa, a modulus of 2.083 GPa, and a hydrophilic contact angle of 73.73 degrees. Cell survival tests confirmed biocompatibility, with a survival rate exceeding 70% and no toxicity. These findings highlight the potential of PLA/PCL/ACP composites, combined with injection molding, for developing biodegradable root canal posts in primary teeth. Full article
(This article belongs to the Special Issue Selected Papers from the 14th International Multi-Conference on Engineering and Technology Innovation (IMETI 2025))
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