Selected Papers from the International Symposium on Computer, Consumer and Control (IS3C2020)

A special issue of Mathematics (ISSN 2227-7390).

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 2912

Special Issue Editors


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Guest Editor
1. Department of Mechanical Engineering, National Chung Cheng University, Chiayi 621301, Taiwan
2. Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Chiayi 621301, Taiwan
Interests: non-linear system analysis and control; robust control; electrical and mechanical system control; signal processing; communication security and confidentiality control
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Guest Editor
Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung City 41170, Taiwan
Interests: automated optical inspection; signal processing and control system; application of the artificial intelligence and optimization methods; deep learning; machine learning; artificial intelligence; control system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue on “Artificial Intelligence and Applied Mathematics in Engineering Field” aims to improve the strength of applied mathematics in the engineering field, which is now becoming more important in mathematics, control system, artificial intelligence, etc. With the coming of age of the computer, applied mathematics has transcended its traditional style and now assumes an even greater importance and new vitality. Manuscripts dealing with electrical and mechanical system control, computer simulation in nonlinear systems, intelligent learning in control systems, fault detection and diagnostics, AI-based methods, sensor-based control, signal analysis and image processing, big data and machine learning, intelligent control and applications, etc., are within the scope of this Special Issue.

Prof. Dr. Her-Terng Yau
Dr. Bo-Lin Jian
Guest Editors

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Keywords

  • Control system
  • Artificial intelligence
  • Mathematics in engineering
  • Signal and image processing
  • Intelligent control and applications
  • Thermal control system
  • Computer simulation in nonlinear systems

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Published Papers (1 paper)

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Research

12 pages, 3892 KiB  
Article
An Embedding Strategy Using Q-Ary Convolutional Codes for Large and Small Payloads
by Jyun-Jie Wang, Chi-Yuan Lin, Sheng-Chih Yang, Hsi-Yuan Chang and Yin-Chen Lin
Mathematics 2021, 9(13), 1577; https://doi.org/10.3390/math9131577 - 4 Jul 2021
Viewed by 2261
Abstract
Matrix embedding (ME) code is a commonly used steganography technique, which uses linear block codes to improve embedding efficiency. However, its main disadvantage is the inability to perform maximum likelihood decoding due to the high complexity of decoding large ME codes. As such, [...] Read more.
Matrix embedding (ME) code is a commonly used steganography technique, which uses linear block codes to improve embedding efficiency. However, its main disadvantage is the inability to perform maximum likelihood decoding due to the high complexity of decoding large ME codes. As such, it is difficult to improve the embedding efficiency. The proposed q-ary embedding code can provide excellent embedding efficiency and is suitable for various embedding rates (large and small payloads). This article discusses that by using perforation technology, a convolutional code with a high embedding rate can be easily converted into a convolutional code with a low embedding rate. By keeping the embedding rate of the (2, 1) convolutional code unchanged, convolutional codes with different embedding rates can be designed through puncturing. Full article
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