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Challenges for Future Applications of Smart Industries

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 4833

Special Issue Editor

1. The Department of AI, Chosun University, Chosundaegil 146 (Seo-seok-dong), Dong-gu, Gwangju 61452, Republic of Korea
2. Security R & D Centre, CMT Info & Comm Co. Ltd., 37 Seongsu-ro 22-gil, Seongdong-gu, Seoul 04798, Republic of Korea
Interests: cyber-security; smart-city; human relationship based on contexts
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Examples of smart industrial places include smart factories and smart farms. As an intelligent production space that improves productivity, quality, and customer satisfaction by applying information and communication technology (ICT) combined with digital automation solutions in production processes such as the design and development of smart places, manufacturing, and distribution, smart industry is a space of the future where IoT will be installed in facilities and machines to collect internal data in real time, analyze it, and allow for self-control. Smart spaces with AR/VR/MR/metaverse/digital twin technologies are expected alongside the recent expansion of network infrastructure.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Smart Industrial Places: Smart Farms and Smart Factories
  • Advanced Networks
  • Applications of AR/VR/MR/Metaverse in Smart Places
  • Smart Industrial Services with Digital Twins
  • Big Data for Smart Industries
  • Security for Smart Industries

We look forward to receiving your contributions.

Dr. Hoon Ko
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. Sustainability 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

  • smart industrial places: smart farm, smart factory
  • advanced networks
  • applications with AR/VR/MR/metaverse in smart places
  • smart industrial services in digital twins
  • big data for smart industries
  • security for smart industries

Published Papers (3 papers)

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Research

15 pages, 5309 KiB  
Article
Graph Embedding-Based Domain-Specific Knowledge Graph Expansion Using Research Literature Summary
by Junho Choi
Sustainability 2022, 14(19), 12299; https://doi.org/10.3390/su141912299 - 27 Sep 2022
Cited by 1 | Viewed by 1368
Abstract
Knowledge bases built in the knowledge processing field have a problem in that experts have to add rules or update them through modifications. To solve this problem, research has been conducted on knowledge graph expansion methods using deep learning technology, and in recent [...] Read more.
Knowledge bases built in the knowledge processing field have a problem in that experts have to add rules or update them through modifications. To solve this problem, research has been conducted on knowledge graph expansion methods using deep learning technology, and in recent years, many studies have been conducted on methods of generating knowledge bases by embedding the knowledge graph’s triple information in a continuous vector space. In this paper, using a research literature summary, we propose a domain-specific knowledge graph expansion method based on graph embedding. To this end, we perform pre-processing and process and text summarization with the collected research literature data. Furthermore, we propose a method of generating a knowledge graph by extracting the entity and relation information and a method of expanding the knowledge graph using web data. To this end, we summarize research literature using the Bidirectional Encoder Representations from Transformers for Summarization (BERTSUM) model based on domain-specific research literature data and design a Research-BERT (RE-BERT) model that extracts entities and relation information, which are components of the knowledge graph, from the summarized research literature. Moreover, we proposed a method of expanding related entities based on Google news after extracting related entities through the web for the entities in the generated knowledge graph. In the experiment, we measured the performance of summarizing research literature using the BERTSUM model and the accuracy of the knowledge graph relation extraction model. In the experiment of removing unnecessary sentences from the research literature text and summarizing them in key sentences, the result shows that the BERTSUM Classifier model’s ROUGE-1 precision is 57.86%. The knowledge graph extraction performance was measured using the mean reciprocal rank (MRR), mean rank (MR), and HIT@N rank-based evaluation metric. The knowledge graph extraction method using summarized text showed superior performance in terms of speed and knowledge graph quality. Full article
(This article belongs to the Special Issue Challenges for Future Applications of Smart Industries)
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27 pages, 2879 KiB  
Article
Research on Convergence Media Consensus Mechanism Based on Blockchain
by Hongbin Hu and Yongbin Wang
Sustainability 2022, 14(17), 11026; https://doi.org/10.3390/su141711026 - 03 Sep 2022
Cited by 3 | Viewed by 1807
Abstract
In recent years, the media industry has achieved rapid development and experienced three development stages from traditional media to new media and then to the current convergence media. Convergence media has brought about great changes in content production, communication mechanism, operation and maintenance [...] Read more.
In recent years, the media industry has achieved rapid development and experienced three development stages from traditional media to new media and then to the current convergence media. Convergence media has brought about great changes in content production, communication mechanism, operation and maintenance management, but also brought about problems such as declining credibility of the industry, difficulty in confirming content rights, difficulty in protecting user privacy, etc. Research on convergence media based on blockchain can make use of the characteristics of blockchain to design or optimize the media industry. In this paper, we introduced the development of convergence media, blockchain and consensus mechanism, then we described a sustainable convergence media ecology based on blockchain. Furthermore, we designed and implemented a consensus mechanism named proof of efficiency (PoE). After analysis, PoE can provide high security and resist 51% resource attack, sybil attack, etc. The experimental results show that PoE has the characteristics of decentralization, strong consistency, low energy consumption, short average block generation time, high throughput and short block confirmation time; the consensus results of PoE can reflect the node’s ecological characteristics in convergence media which can stimulate the activity of nodes and better solve the generation of the Matthew effect. Full article
(This article belongs to the Special Issue Challenges for Future Applications of Smart Industries)
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24 pages, 11509 KiB  
Article
Thread-Based Modeling and Analysis in Multi-Core-Based V2X Communication Device
by Won-Seok Choi and Seong-Gon Choi
Sustainability 2022, 14(14), 8277; https://doi.org/10.3390/su14148277 - 06 Jul 2022
Viewed by 1037
Abstract
We propose a thread-based modeling and analysis method for a vehicle-to-everything (V2X) communication device, according to the performance requirements of the V2X application. For a developer to develop a V2X device or application, its performance requirements must first be determined. Furthermore, the developer [...] Read more.
We propose a thread-based modeling and analysis method for a vehicle-to-everything (V2X) communication device, according to the performance requirements of the V2X application. For a developer to develop a V2X device or application, its performance requirements must first be determined. Furthermore, the developer selects the hardware system to enable the service to function while satisfying the performance requirements. Through this process, the developer designs and creates the program in a manner that considers thread configuration and core mapping with the given hardware resources. Then, the performance evaluation of a system is tested via instruction-level program analysis with executable programs. This process is an essential procedure for developing a program that satisfies the performance requirements. However, the debugging procedure repeated through program development, performance analysis, and program modification requires significant time and is costly. Hence, to reduce the time and cost of unnecessary work, we propose a thread-level modeling and analysis method using a queueing theory for a V2X communication device that can be applied at the design level. First, we propose a thread-level performance modeling and analysis method based on queuing theory in a multi-core-based vehicle service system. Furthermore, we analyze the performance of a multi-core-based vehicle service system utilizing the proposed method. Full article
(This article belongs to the Special Issue Challenges for Future Applications of Smart Industries)
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