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Special Issue "Intelligent Computing, Modeling and its Applications"

A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".

Deadline for manuscript submissions: 31 December 2022 | Viewed by 4453

Special Issue Editors

Prof. Dr. José Antonio Marmolejo Saucedo
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Chief Guest Editor
Faculty of Engineering, University Panameric, 20290 Aguascalientes, Mexico
Interests: industrial engineering; applied mathematics; supply chain management
Special Issues, Collections and Topics in MDPI journals
Dr. Joshua Thomas
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Guest Editor
UOW Malaysia, KDU Penang University College, George Town, Malaysia
Interests: intelligent systems techniques; deep learning algorithms; data science; visual analytics; scheduling and timetabling
Special Issues, Collections and Topics in MDPI journals
Prof. Leo Mrsic
E-Mail Website
Guest Editor
Department of Data Analysis, Algebra University College, Zagreb, Croatia
Interests: natural language processing; data mining; machine learning
Special Issues, Collections and Topics in MDPI journals
Prof. Román Rodríguez Aguilar
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Guest Editor
Facultad de Ciencias Economicas y Empresariales, Universidad Panamericana, Ciudad de Mexico, Mexico
Interests: optimization modelling; mathematical programming; statistical learning
Dr. Pandian Vasant
E-Mail Website
Guest Editor
MERLIN Research Centre, Faculty of Electrical and Electronic Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
Interests: artificial intelligence; computing in mathematics; natural science; engineering and medicine algorithms
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are glad to inform you that the Fourth International Conference on Intelligent Computing and Optimization 2021 will be held on December 30–31, 2021.

Please kindly visit the following website: https://www.icico.info/ for detailed information on the conference.

In this regard, we would like to invite the authors to submit an extended version of their best selected papers for this Special Issue.

The recommended topics include, but are not limited to, the following:

Smart Cities;

Cyber Security;

Mobile Ad Hoc Networks;

Information Network;

Graph Database;

Quality of service;

Internet of Vehicles;

Internet of Things (IoT);

Block Chain;

Interoperability;

Meta-heuristics;

Supply Chain;

Path Relinking;

High-Speed Train;

SMS Security;

Environmental sustainability;

Remote Sensing;

ATM Replenishment;

Bit-Vector Encoding;

Electroencephalograms;

Social Network Analysis;

Fuzzy Regulators;

Mobile Cloud Computing;

Web System Diagnosis;

Deep Learning Applications;

Smart and Autonomous Vehicles;

Energy Saving;

Vehicular Network;

Hybrid Renewable Energy.

Prof. José Antonio Marmolejo Saucedo
Dr. Joshua Thomas
Prof. Leo Mrsic
Prof. Román Rodríguez Aguilar
Dr. Pandian Vasant
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. Computation 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 1400 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

  • industrial 4.0
  • supply chain management
  • machine learning
  • innovative computing
  • sustainable optimization

Published Papers (5 papers)

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Research

Article
Model for the Detection of Falls with the Use of Artificial Intelligence as an Assistant for the Care of the Elderly
Computation 2022, 10(11), 195; https://doi.org/10.3390/computation10110195 - 02 Nov 2022
Viewed by 427
Abstract
Currently, telemedicine has gained more strength and its use allows establishing areas that acceptably guarantee patient care, either at the level of control or event monitors. One of the systems that adapt to the objectives of telemedicine are fall detection systems, for which [...] Read more.
Currently, telemedicine has gained more strength and its use allows establishing areas that acceptably guarantee patient care, either at the level of control or event monitors. One of the systems that adapt to the objectives of telemedicine are fall detection systems, for which artificial vision or artificial intelligence algorithms are used. This work proposes the design and development of a fall detection model with the use of artificial intelligence, the model can classify various positions of people and identify when there is a fall. A Kinect 2.0 camera is used for monitoring, this device can sense an area and guarantees the quality of the images. The measurement of position values allows to generate the skeletonization of the person and the classification of the different types of movements and the activation of alarms allow us to consider this model as an ideal and reliable assistant for the integrity of the elderly. This approach analyzes images in real time and the results showed that our proposed position-based approach detects human falls reaching 80% accuracy with a simple architecture compared to other state-of-the-art methods. Full article
(This article belongs to the Special Issue Intelligent Computing, Modeling and its Applications)
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Article
Solving the Optimal Selection of Wellness Tourist Attractions and Destinations in the GMS Using the AMIS Algorithm
Computation 2022, 10(9), 165; https://doi.org/10.3390/computation10090165 - 18 Sep 2022
Viewed by 817
Abstract
This study aims to select the ideal mixture of small and medium-sized destinations and attractions in Thailand’s Ubon Ratchathani Province in order to find potential wellness destinations and attractions. In the study region, 46 attractions and destinations were developed as the service sectors [...] Read more.
This study aims to select the ideal mixture of small and medium-sized destinations and attractions in Thailand’s Ubon Ratchathani Province in order to find potential wellness destinations and attractions. In the study region, 46 attractions and destinations were developed as the service sectors for wellness tourism using the designed wellness framework and the quality level of the attractions and destinations available on social media. Distinct types of tourists, each with a different age and gender, comprise a single wellness tourist group. Due to them, even with identical attractions and sites, every traveler has a different preference. A difficult task for travel agencies is putting together combinations of attractions and places for each tourist group. In this paper, the mathematical formulation of the suggested problem is described, and the optimal solution is achieved using Lingo v.16. Unfortunately, the large size of test instances cannot be solved with Lingo v16. However, the large-scale problem, particularly the case study in the target area, has been solved using a metaheuristic method called AMIS. According to the computation in the final experiment, AMIS can raise the solution quality across all test instances by an average of 3.83 to 8.17 percent. Therefore, it can be concluded that AMIS outperformed all other strategies in discovering the ideal solution. AMIS, GA and DE may lead visitors to attractions that generate 29.76%, 29.58% and 32.20%, respectively, more revenue than they do now while keeping the same degree of preference when the number of visitors doubles. The attractions’ and destinations’ utilization has increased by 175.2 percent over the current situation. This suggests that small and medium-sized enterprises have a significantly higher chance of flourishing in the market. Full article
(This article belongs to the Special Issue Intelligent Computing, Modeling and its Applications)
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Article
Bearing Fault Diagnosis Based on Measured Data Online Processing, Domain Fusion, and ANFIS
Computation 2022, 10(9), 157; https://doi.org/10.3390/computation10090157 - 08 Sep 2022
Cited by 1 | Viewed by 626
Abstract
Processing noise online in sensors-based measurement data (SMD) and mitigating the effect of domain drift are always challenges. As a result, it negatively impacts the effectiveness and feasibility of data-driven model (DDM)-based mechanical-system fault identification (MFI). Here, we propose an online bearing fault [...] Read more.
Processing noise online in sensors-based measurement data (SMD) and mitigating the effect of domain drift are always challenges. As a result, it negatively impacts the effectiveness and feasibility of data-driven model (DDM)-based mechanical-system fault identification (MFI). Here, we propose an online bearing fault diagnosis method named ANFIS-BFDM by using an adaptive neurofuzzy inference system (ANFIS). Reduction in the influence of domain drift between the source domain and target domain (DDSTD) is considered in both the data processing and fault identification. Online solutions for preprocessing SMD and exploiting the filtered data to label the target domain are presented in a fusion domain deriving from the source and target domains. First, in the offline phase, frequency-based splitting of SMD into different time series is performed to cancel the high-frequency region. An optimal data screening threshold (ODST) is distilled in the remaining low-frequency data to develop an impulse noise filter named FIN. An ANFIS then identifies the dynamic response of the bearing(s) via the filtered data. The FIN and ANFIS are finally exploited during the online phase to filter noise and recognize the object’s health status online. The survey results reflect the positive effects of the method, even if severe impulse noise appears in the databases. Full article
(This article belongs to the Special Issue Intelligent Computing, Modeling and its Applications)
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Article
Sliding-Mode Control of Bidirectional Flyback Converters with Bus Voltage Regulation for Battery Interface
Computation 2022, 10(7), 125; https://doi.org/10.3390/computation10070125 - 20 Jul 2022
Viewed by 635
Abstract
Energy storage systems are essential for multiple applications like renewable energy systems, electric vehicles, microgrids, among others. Those systems are responsible of regulating the dc bus voltage using charging-discharging systems which are mainly formed by a power converter and a control system. This [...] Read more.
Energy storage systems are essential for multiple applications like renewable energy systems, electric vehicles, microgrids, among others. Those systems are responsible of regulating the dc bus voltage using charging-discharging systems which are mainly formed by a power converter and a control system. This work focuses on the control system of a flyback converter. A detailed design procedure of an adaptive sliding-mode controller (SMC) and its parameters is presented. The proposed procedure was validated through simulations which allow to confirm its good performance in terms of global stability providing the desired dynamic of the dc bus voltage regulation. Full article
(This article belongs to the Special Issue Intelligent Computing, Modeling and its Applications)
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Article
Balanced Circular Packing Problems with Distance Constraints
Computation 2022, 10(7), 113; https://doi.org/10.3390/computation10070113 - 04 Jul 2022
Cited by 2 | Viewed by 786
Abstract
The packing of different circles in a circular container under balancing and distance conditions is considered. Two problems are studied: the first minimizes the container’s radius, while the second maximizes the minimal distance between circles, as well as between circles and the boundary [...] Read more.
The packing of different circles in a circular container under balancing and distance conditions is considered. Two problems are studied: the first minimizes the container’s radius, while the second maximizes the minimal distance between circles, as well as between circles and the boundary of the container. Mathematical models and solution strategies are provided and illustrated with computational results. Full article
(This article belongs to the Special Issue Intelligent Computing, Modeling and its Applications)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Author: Deepanjal Shrestha
Affiliation: Pokhara University, Nepal

Author: John Kwok Tai Chui
Affiliation: Hong Kong Metropolitan University

Author: Elias Munapo
Affiliation: School of Economics and Decision Sciences, North West University, South Africa

Author: Igor Litvinchev
Affiliation: Faculty of Mechanical and Electrical Engineering, Nuevo Leon State University (UANL), Mexico

Author: Chan Mieow Kee
Affiliation: Faculty of Engineering, Built Environment and Information Technology, SEGi University, Malaysia

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