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ICEBA2024: Engineering, Physics, MEMS-Biosensors and Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (20 February 2025) | Viewed by 901

Special Issue Editors


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Guest Editor
Department of Mechanical Systems Engineering, Tohoku University, Sendai 980-8579, Japan
Interests: microfabrication and applications

E-Mail Website
Guest Editor
Department of Mechanical Systems Engineering, Tohoku University, Sendai 980-8579, Japan
Interests: nanotechnology-MEMS/NEMS
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce the Special Issue for the 5th International Conference on Engineering, Physics, MEMS-Biosensors, and Applications (ICEBA2024), which will be held in Ho Chi Minh City and Vinh Long Province, Vietnam. This event is organized by the University of Science (VNUHCM, Vietnam), Tohoku University (Japan), and Mien Tay Construction University (Vinh Long Province, Vietnam).

The conference aims to connect researchers and scientists from Vietnam and worldwide, particularly from Asian countries, in engineering, physics, microelectronics, semiconductors, and electronic engineering. We focus on their applications in biomedical engineering, health sciences, hi-tech agriculture, and smart cities. Additionally, we aim to foster international cooperation through collaborative research projects and joint publications while proposing innovative solutions and applied technologies for the development of the Mekong Delta region.

We warmly invite you to contribute to Special Issues in the following subject areas:

  • Engineering, Engineering Physics, and Electrical & Electronic Engineering;
  • Medical Physics and Nuclear Engineering;
  • MEMS (MicroElectronMechanical System), Sensors and semiconducting devices, Biomedical Engineering, Digital Microfluidics and their applications;
  • Microelectronics, IC design, low consumption devices, Renewable Energy;
  • Computing Science, Simulations, and Modeling;
  • Embedded systems, Internet of Things, Machine Learning, Artificial Intelligence, etc.;
  • Civil and Geology Engineering;
  • Constructions, Machines, and Mechanical Engineering.

Dr. Nguyen Van Toan
Prof. Dr. Takahito Ono
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

  • engineering
  • physics
  • MEMS-biosensors
  • semiconductors
  • civil engineering
  • mechanical engineering

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Published Papers (1 paper)

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Research

10 pages, 340 KiB  
Article
Evaluation of Disassembling Process Inference Based on Positional Relations Matrix
by Kazuyuki Hanahara and Kaori Yamada
Appl. Sci. 2025, 15(9), 4736; https://doi.org/10.3390/app15094736 - 24 Apr 2025
Viewed by 121
Abstract
Disassembling is an important process in the maintenance, reparation, and disposal of mechanical as well as structural systems. More often than not, however, disassembling processes are not prepared in advance; we need to organize the disassembling process based on the obtained arrangement information [...] Read more.
Disassembling is an important process in the maintenance, reparation, and disposal of mechanical as well as structural systems. More often than not, however, disassembling processes are not prepared in advance; we need to organize the disassembling process based on the obtained arrangement information of the constituent parts of the system. In this study, we deal with a disassembling process inference based on the positional relations matrix. On the basis of the positional relations matrix, the geometrical constraints among the parts can be expressed in a general form. The developed disassembling process inference based on the matrix is considered to be practical. We have evaluated the practicality of the proposed disassembling process inference based on a number of disassembling problems which were generated by means of a problem-generation system based on random number generator. The obtained evaluation demonstrated that the proposed approach does not always result in the optimal disassembling process but provides a fairly appropriate disassembling process in general, and the required computational cost is considerably small. We concluded that the proposed disassembling process inference is practical enough. Full article
(This article belongs to the Special Issue ICEBA2024: Engineering, Physics, MEMS-Biosensors and Applications)
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