Future Information & Communication Engineering 2024

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

Deadline for manuscript submissions: 10 November 2024 | Viewed by 366

Special Issue Editors


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Department of Electrical, Electronic and Control Engineering Hankyong National University, Anseong 17579, Republic of Korea
Interests: compact modeling for circuit simulation; device modeling for TCAD simulation; device characterization; steep-switching device; GAA NW-FET; 2D material transistor; neuromorphic device
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Institute of Digital Anti-Aging Healthcare, Inje University, Gimhae 50834, Republic of Korea
Interests: aging science; applied artificial intelligence; digital healthcare; human computer interaction; software engineering
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Department of Artificial Intelligence, Silla University, Busan 46958, Republic of Korea
Interests: fuzzy neural network; image processing; medical image recognition; biosignal processing; genetic algorithm; watermarking
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School of IT Convergence, University of Ulsan, Ulsan 44610, Republic of Korea
Interests: virtual/mixed reality; human computer interaction; virtual human
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Department of Business Administration, Seoul Women’s University, Seoul, Republic of Korea
Interests: information systems; e-business and management; business analytics
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Special Issue Information

Dear Colleagues,

We are organizing a Special Issue comprising selected original research papers from the 16th International Conference on Future Information and Communication Engineering (ICFICE) 2024 on all the technical aspects of computer science, information, and communication engineering. Potential topics include but are not limited to the following:

  • Communication systems and applications;
  • Networking and security;
  • AI and intelligent information systems;
  • Multimedia and digital convergence;
  • Semiconductor and communication services;
  • Biomedical imaging and engineering;
  • Ubiquitous sensor network;
  • Database and Internet application;
  • IoT and big data;
  • IT convergence technology;
  • Industrial session.

Prof. Dr. Yun Seop Yu
Prof. Dr. Hee-Cheol Kim
Prof. Dr. Kwang-Baek Kim
Dr. Dongsik Jo
Dr. Jongtae Lee
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

  • communication systems
  • networking
  • smart security
  • intelligent information systems
  • artificial intelligence
  • machine learning
  • biomedical imaging
  • multimedia and digital convergence
  • semiconductors
  • ubiquitous sensor networks
  • databases
  • Internet application
  • big data
  • Internet of Things (IoT)
  • information technology (IT) convergence
  • augmented reality (AR)/virtual reality (VR)
  • metaverse

Published Papers (1 paper)

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Research

13 pages, 1837 KiB  
Article
Indoor Positioning by Double Deep Q-Network in VLC-Based Empty Office Environment
by Sung Hyun Oh and Jeong Gon Kim
Appl. Sci. 2024, 14(9), 3684; https://doi.org/10.3390/app14093684 - 26 Apr 2024
Viewed by 221
Abstract
Recently, artificial intelligence (AI) has been applied in various industries. One such application is indoor user positioning using Big Data. The traditional method for positioning is the global positioning system (GPS). However, the performance of GPS is limited indoors due to propagation loss. [...] Read more.
Recently, artificial intelligence (AI) has been applied in various industries. One such application is indoor user positioning using Big Data. The traditional method for positioning is the global positioning system (GPS). However, the performance of GPS is limited indoors due to propagation loss. Hence, radio frequency (RF)-based communication methods such as WiFi and Bluetooth have been proposed as indoor positioning solutions. However, positioning performance inaccuracies arise due to signal interference caused by RF band saturation. Therefore, this study proposes indoor user positioning based on visible light communication (VLC). The proposed method involves the sequential application of fingerprinting and double deep Q-Network. Fingerprinting is utilized to define the action and state of the double deep Q-Network agent. The agent is designed to learn and locate the reference point (RP) closest to the user’s position in a shorter search time. The core idea of the proposed system is to converge a Cell-ID scheme and fingerprinting. Through this, the initial state of the double deep Q-Network agent can be limited. A limited initial state can increase the positioning speed. Simulation results show that the proposed scheme attains a positioning resolution of less than 13 cm and achieves a processing time of less than 0.03 s to obtain the final position in VLC-based office environments. Full article
(This article belongs to the Special Issue Future Information & Communication Engineering 2024)
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