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Novel and Unconventional Signal Processing Approaches in the Area of...
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Novel and Unconventional Signal Processing Approaches in the Area of Marine Science and Engineering

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: closed (25 April 2021) | Viewed by 4336

Special Issue Editor

Prof. Dr. Andrzej Borys

E-Mail Website
Guest Editor
Department of Marine Telecommunications, Gdynia Maritime University, Gdynia, Poland
Interests: fundamentals of signal processing; basic issues of measuring processes; networking in maritime telecommunication systems; modeling nonlinear maritime systems and processes
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Signal processing is of great importance in any technical system. Nowadays, the highly computerized world in which we live is dominated by digital technology and digital techniques. In many cases, the processing of analog signals is also essential (for example, in their conversion to digital signals and vice versa). This happens mostly in the cases in which there are also signal transmissions in a system. This is because all transmission media are analog and, therefore, the transmitted signal must match their analog properties. Moreover, we can say that these two basic kinds of signal processing occur in many configurations in both small as well as in large electrical, electronic, and communication systems or devices.

Digital signal processing does not mean only algorithms and software. It also means digital hardware, signal processors, and other kinds of electronic devices (for example, the so-called application-specific integrated circuits (ASICs)) which are programmed. In other words, all these electrical and electronic units need some software for their operation. In addition to this are various types of hardware and software interfaces, such as those supporting signal conversion and format translation.

Also included, of course, are modern marine systems, which cannot go without signal processing and its associated hardware and software. However, we know that the specificity of these systems often requires unconventional solutions and nonstandard hardware, algorithms, and software. This Special Issue aims to considering them simply from the point of view of their novelty, relevance, and importance for marine engineering as well as marine science. It often happens that these properties can be fully perceived, utilized, and evaluated only in the marine context. All papers describing unpublished findings and presenting novel and unconventional results achieved in the area of signal processing dedicated to marine systems, marine engineering, and marine science are welcome here; we invite potential authors to submit their manuscripts to this Special Issue.

I strongly believe that, working together, we can ensure that this Special Issue is a success, and that the themes addressed will establish and inspire their continued presence in the Journal of Marine Science and Engineering. Further, we also aim to be active in developing new theoretical branches of signal processing such as signal sampling which does not use descriptions based on Dirac impulse formalism, measuring processes and their relationships with signal sampling, the application of Kronecker functions as well as functions with attributes, and other emerging topics.

Prof. Dr. Andrzej Borys
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. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly 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 2600 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

  • Specific signal processing algorithms dedicated to marine systems
  • Novel model-based signal processing algorithms for implementations in the area of marine engineering
  • Unconventional hardware, software, and mixed realizations
  • New architectures for known algorithms that take into account the specificity of marine systems
  • Signal processing for mobile applications for on-shore and off-shore usage
  • Signal processing for marine science and its development as well as implementations
  • Signal processing applications in marine communication systems
  • Underwater applications

Published Papers (2 papers)

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35 pages, 2241 KiB  
Article
Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data
by Nikola Lopac, Irena Jurdana, Jonatan Lerga and Nobukazu Wakabayashi
J. Mar. Sci. Eng. 2021, 9(4), 439; https://doi.org/10.3390/jmse9040439 - 18 Apr 2021
Cited by 10 | Viewed by 2477
Abstract
The real-life signals captured by different measurement systems (such as modern maritime transport characterized by challenging and varying operating conditions) are often subject to various types of noise and other external factors in the data collection and transmission processes. Therefore, the filtering algorithms [...] Read more.
The real-life signals captured by different measurement systems (such as modern maritime transport characterized by challenging and varying operating conditions) are often subject to various types of noise and other external factors in the data collection and transmission processes. Therefore, the filtering algorithms are required to reduce the noise level in measured signals, thus enabling more efficient extraction of useful information. This paper proposes a locally-adaptive filtering algorithm based on the radial basis function (RBF) kernel smoother with variable width. The kernel width is calculated using the asymmetrical combined-window relative intersection of confidence intervals (RICI) algorithm, whose parameters are adjusted by applying the particle swarm optimization (PSO) based procedure. The proposed RBF-RICI algorithm’s filtering performances are analyzed on several simulated, synthetic noisy signals, showing its efficiency in noise suppression and filtering error reduction. Moreover, compared to the competing filtering algorithms, the proposed algorithm provides better or competitive filtering performance in most considered test cases. Finally, the proposed algorithm is applied to the noisy measured maritime data, proving to be a possible solution for a successful practical application in data filtering in maritime transport and other sectors. Full article
(This article belongs to the Special Issue Novel and Unconventional Signal Processing Approaches in the Area of Marine Science and Engineering)
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20 pages, 3074 KiB  
Article
Diagnosing Marine Piston Engines Driving Generators at Different Operational Loads
by Jan Monieta
J. Mar. Sci. Eng. 2021, 9(2), 132; https://doi.org/10.3390/jmse9020132 - 28 Jan 2021
Cited by 3 | Viewed by 1394
Abstract
Loads at which diagnostic research should be carried out were selected of operational investigation and preliminary diagnostic tests. It is difficult to keep the load constant during operational tests, so there is a need to apply the theory of the experiment. Operational investigation [...] Read more.
Loads at which diagnostic research should be carried out were selected of operational investigation and preliminary diagnostic tests. It is difficult to keep the load constant during operational tests, so there is a need to apply the theory of the experiment. Operational investigation determined, the average and representative loads of tested engines driving generators. In preliminary diagnostic tests, the effects of loading on values of diagnostic parameters in various domains of signals analysis were checked and used to reduce the range the diagnostic research. Besides, the most useful symptoms were selected based on the correlation with the load. The diagnostic of pressure in the injection subsystem and in-cylinder pressure signals were subjected to time frequency analysis. In the principal studies, attempts were made to investigate the value of diagnostic symptoms while maintaining a constant load. For operating marine combustion engines, it is difficult to obtain repeatable test conditions because it is dependent on the principles of engine control and consumption of electricity by shipboard receivers. In operational tests on sea-going vessels, a wireless load measurement system and a system for processing and analyzing the parameters of working and residual processes were used. The wireless simultaneous load measurement system was effective in cases where load indicators and meters were away from the diagnosed objects. A wireless load and selected signals transmission system was used in tests on the ship. The aim of the article is to develop diagnostic models for bringing different test conditions to the common representative and reliable diagnostic decision. The article presents how to adjust diagnostic parameters of the working process, recorded at slightly different loads, to the value of common and equal load. This was done based on the best-fitted approximation model. Full article
(This article belongs to the Special Issue Novel and Unconventional Signal Processing Approaches in the Area of Marine Science and Engineering)
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