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Applied Sciences
Special Issues
Optical Signal Processing Technologies and Their Advanced Applications
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Optical Signal Processing Technologies and Their Advanced Applications

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

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 1235

Special Issue Editor

Prof. Dr. Zhi Wang

E-Mail Website
Guest Editor
School of Science, Beijing Jiaotong University, Beijing 100044, China
Interests: all-optical signal processing; optical engineering; fiber optics; guided wave optics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will focus on optical signal processing and its applications in telecommunication and networking, including the mechanisms, the devices (optical fiber-based, photonic integrated circuit-based, and so on), the systems, and the instruments, with applications for ultra-large-scale optical fiber telecommunication systems, radio over fiber, Lidar, photonics neuromorphic, nonlinear behavior, optical frequency comb, spectra analysis, and health monitoring, etc.

Prof. Dr. Zhi Wang
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. 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

  • optical signal processing
  • photonic integration
  • optical fiber telecommunications
  • lidar
  • ROF
  • photonics neuromorphic

Published Papers (1 paper)

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Research

20 pages, 10552 KiB  
Article
Real-Time Patient Indoor Health Monitoring and Location Tracking with Optical Camera Communications on the Internet of Medical Things
by Herfandi Herfandi, Ones Sanjerico Sitanggang, Muhammad Rangga Aziz Nasution, Huy Nguyen and Yeong Min Jang
Appl. Sci. 2024, 14(3), 1153; https://doi.org/10.3390/app14031153 - 30 Jan 2024
Viewed by 982
Abstract
Optical Camera Communication (OCC) is an emerging technology that has attracted research interest in recent decades. Unlike previous communication technologies, OCC uses visible light as the medium to transmit data from receivers and cameras to receive the data. OCC has several advantages that [...] Read more.
Optical Camera Communication (OCC) is an emerging technology that has attracted research interest in recent decades. Unlike previous communication technologies, OCC uses visible light as the medium to transmit data from receivers and cameras to receive the data. OCC has several advantages that can be capitalized in several implementations. However, the Internet of Things (IoT) has emerged as a technology with immense potential. Numerous research endeavors support the IoT’s prospective technology that can be implemented in various sectors, including the healthcare system. This study introduces a novel implementation of the Internet of Medical Things (IoMT) system, using OCC for real-time health monitoring and indoor location tracking. The innovative system uses standard closed-circuit television CCTV setups, integrating deep learning-based OCC to monitor multiple patients simultaneously, each represented by an LED matrix. The effectiveness of the system was demonstrated through two scenarios: the first involves dual transmitters and a single camera, highlighting real-time monitoring of vital health data; the second features a transmitter with dual cameras, focusing patient movement tracking across different camera fields of view. To accurately locate and track the position of LED arrays in the camera, the system used YOLO (You Only Look Once). Data are securely transmitted to an edge server and stored using the REST API, with a web interface providing real-time patient updates. This study highlights the potential of OCC in IoMT for advanced patient care and proposes future exploration in larger healthcare systems and other IoT domains. Full article
(This article belongs to the Special Issue Optical Signal Processing Technologies and Their Advanced Applications)
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