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Applied Sciences
Special Issues
Selected Papers from The Conference ISIS & ICBAK 2019
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Selected Papers from The Conference ISIS & ICBAK 2019

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 8471

Special Issue Editors

Prof. Dr. Youngchul Bae

E-Mail Website
Guest Editor
Division of Electrical and Computer Engineering, Chonnam National University, Daehak-ro 50, Yeosu 59626, Republic of Korea
Interests: intelligent system; deep learning; chaotic dynamics; nonlinear control; energy prediction; fuzzy and neural network; robot control; digital twins and CPS (cyber–physical system)
Special Issues, Collections and Topics in MDPI journals
Prof. Yongsoo Kim

E-Mail Website
Guest Editor
Department of Computer Engineering, Daejeon University, 62 Daehak-ro, Dong-gu, Daejeon 34520, Korea
Interests: deep neural networks; fuzzy neural networks; pattern recognition; digital image processing

Special Issue Information

Dear Colleagues,

This Special Issue consists of selected excellent papers from the conference of ISIS & ICBAK 2019 (The 20th International Symposium on Advanced Intelligent Systems and 2019 International Conference on Biometrics and Kansei Engineering), which will be held at the International Convention Center (ICC), Jeju Island, Korea, on 4th–7th December, 2019. In this international conference, contributors will be invited to submit and present papers to share a wide variety of ideas. The topics of the selected papers will include various sensor techniques, devices, and applications for intelligent systems. These papers will be subject to peer review and published to widely disseminate new research results, including developments and applications.

Prof. Youngchul Bae
Prof. Yongsoo Kim
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

  • Sensor Network and Communications
  • Sensing for artificial intelligence, neural networks, neurofuzzy systems, chaotic system, big data analysis, and learning and adaptive systems
  • Sensing for intelligent control and robotics, intelligent manufacturing systems, mechatronics design
  • Intelligent communications 
  • Intelligent electronics 
  • Intelligent electrical systems 
  • Information fusion 
  • Intelligent control 
  • Intelligence sensors 
  • Smart sensors 
  • Sensor applications 
  • Intelligent manufacturing systems
  • Intelligent medical systems
  • Intelligent systems
  • Intelligent transportation systems
  • Machine learning 
  • Neural networks
  • Neurofuzzy systems 
  • Robotics 
  • Web intelligence and interaction
  • Fuzzy logic and its applications in industrial engineering
  • Others

Published Papers (3 papers)

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Research

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20 pages, 7733 KiB  
Article
Robot Partner Development Platform for Human-Robot Interaction Based on a User-Centered Design Approach
by Jinseok Woo, Yasuhiro Ohyama and Naoyuki Kubota
Appl. Sci. 2020, 10(22), 7992; https://doi.org/10.3390/app10227992 - 11 Nov 2020
Cited by 8 | Viewed by 2334
Abstract
This paper presents a robot partner development platform based on smart devices. Humans communicate with others based on the basic motivations of human cooperation and have communicative motives based on social attributes. Understanding and applying these communicative motives become important in the development [...] Read more.
This paper presents a robot partner development platform based on smart devices. Humans communicate with others based on the basic motivations of human cooperation and have communicative motives based on social attributes. Understanding and applying these communicative motives become important in the development of socially-embedded robot partners. Therefore, it is becoming more important to develop robots that can be applied according to needs while taking these human communication elements into consideration. The role of a robot partner is more important in not only on the industrial sector but also in households. However, it seems that it will take time to disseminate robots. In the field of service robots, the development of robots according to various needs is important and the system integration of hardware and software becomes crucial. Therefore, in this paper, we propose a robot partner development platform for human-robot interaction. Firstly, we propose a modularized architecture of robot partners using a smart device to realize a flexible update based on the re-usability of hardware and software modules. In addition, we show examples of implementing a robot system using the proposed architecture. Next, we focus on the development of various robots using the modular robot partner system. Finally, we discuss the effectiveness of the proposed robot partner system through social implementation and experiments. Full article
(This article belongs to the Special Issue Selected Papers from The Conference ISIS & ICBAK 2019)
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13 pages, 319 KiB  
Article
Hybrid Fuzzy Regression Analysis Using the F-Transform
by Hye-Young Jung, Woo-Joo Lee and Seung Hoe Choi
Appl. Sci. 2020, 10(19), 6726; https://doi.org/10.3390/app10196726 - 25 Sep 2020
Cited by 3 | Viewed by 1838
Abstract
This paper proposes a hybrid estimation algorithm for independently estimating the response function for the center and the response function for the spread in fuzzy regression model. The proposed algorithm combines the least absolute deviations estimation with discriminant analysis. In addition, the F [...] Read more.
This paper proposes a hybrid estimation algorithm for independently estimating the response function for the center and the response function for the spread in fuzzy regression model. The proposed algorithm combines the least absolute deviations estimation with discriminant analysis. In addition, the F-transform is used to convert spreads of the dependent variable into several groups. Two examples show that our method is superior to the existing methods based on the fuzzy regression model that assumes the same function for spread and center. Full article
(This article belongs to the Special Issue Selected Papers from The Conference ISIS & ICBAK 2019)
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Review

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26 pages, 2749 KiB  
Review
Comparative Study of Harmony Search Algorithm and its Applications in China, Japan and Korea
by Mohammad Nasir, Ali Sadollah, Jin Hee Yoon and Zong Woo Geem
Appl. Sci. 2020, 10(11), 3970; https://doi.org/10.3390/app10113970 - 08 Jun 2020
Cited by 8 | Viewed by 3540
Abstract
Harmony Search (HS) is a music-inspired optimization algorithm for solving complex optimization problems that imitate the musical improvisational process. This paper reviews the potential of applying the HS algorithm in three countries, China, South Korea, and Japan. The applications represent several disciplines in [...] Read more.
Harmony Search (HS) is a music-inspired optimization algorithm for solving complex optimization problems that imitate the musical improvisational process. This paper reviews the potential of applying the HS algorithm in three countries, China, South Korea, and Japan. The applications represent several disciplines in fields of study such as computer science, mathematics, electrical/electronic, mechanical, chemical, civil, and industrial engineering. We anticipate an increasing number of HS applications from these countries in near future. Full article
(This article belongs to the Special Issue Selected Papers from The Conference ISIS & ICBAK 2019)
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