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Applied Sciences
Special Issues
Smart and Innovative Service Design and Implementation
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Smart and Innovative Service Design and Implementation

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 1785

Special Issue Editors

Prof. Dr. Chuin-Mu Wang

E-Mail Website
Guest Editor
Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Interests: smart robot; unmanned aerial vehicle; VR/AR/MR
Prof. Dr. Ruey-Maw Chen

E-Mail Website
Guest Editor
Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Interests: scheduling; meta-heuristic algorithm; evolution computation
Dr. Chen-Kun Tsung

E-Mail Website
Guest Editor
Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Interests: cloud computing; big data; web-based applications; combinatorial optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the help of artificial intelligence and network techniques, smart and innovative services are proposed and realized in all kinds of applications, such as manufacturing, live, education, e-commerce, entertainment, etc. Since smart and innovative services are specially designed and implemented in terms of the necessity of the user requirements, all smart and innovative services could provide convenience in different applications with real-world necessities.

In the Special Issue “Smart and Innovative Service Design and Implementation”, we invite submissions that consider the applications of smart and innovative services for the topics of theoretical analysis, experimental studies, and system design and implementation.

Prof. Dr. Chuin-Mu Wang
Prof. Dr. Ruey-Maw Chen
Dr. Chen-Kun Tsung
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

  • artificial intelligence
  • big data
  • cloud computation
  • AR/VR/MR
  • UAV
  • optimization
  • security

Published Papers (1 paper)

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Research

11 pages, 516 KiB  
Article
An Improved Marker Code Scheme Based on Nucleotide Bases for DNA Data Storage
by Jian Tong, Guojun Han and Yi Sun
Appl. Sci. 2023, 13(6), 3632; https://doi.org/10.3390/app13063632 - 12 Mar 2023
Cited by 1 | Viewed by 1217
Abstract
Due to the rapid growth in the global volume of data, deoxyribonucleic acid (DNA) data storage has emerged. Error correction in DNA data storage is a key part of this storage technology. In this paper, an improved marker code scheme is proposed to [...] Read more.
Due to the rapid growth in the global volume of data, deoxyribonucleic acid (DNA) data storage has emerged. Error correction in DNA data storage is a key part of this storage technology. In this paper, an improved marker code scheme is proposed to correct insertion, deletion, and substitution errors in deoxyribonucleic acid (DNA) data storage. To correct synchronization (i.e., insertion and deletion) errors, a novel base-symbol-based synchronization algorithm is proposed and used. In the improved scheme, the marker bits are encoded as the information part of the LDPC code, and then mapped into marker bases to correct the synchronization errors. Thus marker bits not only assist in regaining synchronization, but also play a role in LDPC decoding to improve decoding performance. An improved low-complexity normalized min-sum (INMS) algorithm is proposed to correct residual substitution errors after regaining synchronization. The simulation results demonstrate that the improved scheme provides a substantial performance improvement over the concatenated marker code scheme and concatenated watermark code scheme. At the same time, the complexity of the INMS algorithm was reduced, while its bit error rate (BER) performance was approximate to that of the belief propagation (BP) algorithm. Full article
(This article belongs to the Special Issue Smart and Innovative Service Design and Implementation)
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