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Intelligent Sound Measurement Sensor and System 2022

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (17 March 2023) | Viewed by 8232

Special Issue Editors


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Guest Editor
Intelligent Systems Design, Newcastle University, Singapore 038986, Singapore
Interests: intelligent systems design of complex systems in uncertain environments (underwater/electric vehicle, battery, PV system, acoustic enclosure, and water distribution network) involving predictive analytics (data mining, predictive modeling, and machine learning)
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Engineering, London South Bank University, London SE1 0AA, UK
Interests: active noise and vibration control; adaptive/intelligent control; soft-computing modeling and control of dynamic systems; assistive robotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The comfort and wellbeing of an individual in a room depend largely on the sound pressure level within the room and psychoacoustics. The importance of accurate prediction of acoustics parameters is vital during the initial room’s design stage. Many researchers have carried out detailed studies on the interaction between acoustics and psychoacoustics parameters. The implementation of these sound measurement systems is still facing numerous challenges, such as uncertainties in the operating environment, human–instrument interactions, long computational times, background noise, and measurement time. 

The aim of this Special Issue in sound measurement for uncertain environments is to contain the latest developments in intelligent algorithms (using different neural networks (NNs) such as the autoencoder, support vector regression, deep neural network, and others) with sensors operating in uncertain environments. Relevant technologies enhancing measurement, dexterity, stability, flexibility, and user experience are desired. This Special Issue will provide the latest perspective on the state of the art of the field and should be of particular interest to researchers involved in room or environment acoustics.

Topics of interest include (but are not limited to) the following areas:

  • Sensor design and implementation
  • Sound diffusion
  • Sound localization
  • Room acoustics design
  • Signal processing and pattern recognition
  • Wireless communication systems
  • Multisensor fusion   
  • Intelligent embedded system design
  • Autonomous measurement systems
  • Image-based and signal-based processing
  • Identification and detection
  • Machine learning methods
  • Swarm intelligence and evolutionary algorithms
  • Artificial neural networks
  • Quantification and measurement of user experience

Dr. Cheng Siong Chin
Prof. Dr. M. Osman Tokhi
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. Sensors 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 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.

Published Papers (1 paper)

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Review

35 pages, 3792 KiB  
Review
Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation
by Inyeong Bae and Jungpyo Hong
Sensors 2023, 23(10), 4643; https://doi.org/10.3390/s23104643 - 10 May 2023
Cited by 8 | Viewed by 7639
Abstract
With the recent development of artificial intelligence (AI) and information and communication technology, manned vehicles operated by humans used on the ground, air, and sea are evolving into unmanned vehicles (UVs) that operate without human intervention. In particular, unmanned marine vehicles (UMVs), including [...] Read more.
With the recent development of artificial intelligence (AI) and information and communication technology, manned vehicles operated by humans used on the ground, air, and sea are evolving into unmanned vehicles (UVs) that operate without human intervention. In particular, unmanned marine vehicles (UMVs), including unmanned underwater vehicles (UUVs) and unmanned surface vehicles (USVs), have the potential to complete maritime tasks that are unachievable for manned vehicles, lower the risk of man power, raise the power required to carry out military missions, and reap huge economic benefits. The aim of this review is to identify past and current trends in UMV development and present insights into future UMV development. The review discusses the potential benefits of UMVs, including completing maritime tasks that are unachievable for manned vehicles, lowering the risk of human intervention, and increasing power for military missions and economic benefits. However, the development of UMVs has been relatively tardy compared to that of UVs used on the ground and in the air due to adverse environments for UMV operation. This review highlights the challenges in developing UMVs, particularly in adverse environments, and the need for continued advancements in communication and networking technologies, navigation and sound exploration technologies, and multivehicle mission planning technologies to improve UMV cooperation and intelligence. Furthermore, the review identifies the importance of incorporating AI and machine learning technologies in UMVs to enhance their autonomy and ability to perform complex tasks. Overall, this review provides insights into the current state and future directions for UMV development. Full article
(This article belongs to the Special Issue Intelligent Sound Measurement Sensor and System 2022)
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