Biologicalization of Smart Manufacturing Using DNA-Based Computing
Smart manufacturing needs cognitive computing methods to make the relevant systems more intelligent and autonomous. In this respect, bio-inspired cognitive computing methods (i.e., biologicalization) can play a vital role. This article is written from this perspective. In particular, this article pr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Biomimetics |
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| Online Access: | https://www.mdpi.com/2313-7673/8/8/620 |
| _version_ | 1797381871871459328 |
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| author | Sharifu Ura Lubna Zaman |
| author_facet | Sharifu Ura Lubna Zaman |
| author_sort | Sharifu Ura |
| collection | DOAJ |
| description | Smart manufacturing needs cognitive computing methods to make the relevant systems more intelligent and autonomous. In this respect, bio-inspired cognitive computing methods (i.e., biologicalization) can play a vital role. This article is written from this perspective. In particular, this article provides a general overview of the bio-inspired computing method called DNA-Based Computing (DBC), including its theory and applications. The main theme of DBC is the central dogma of molecular biology (once information of DNA/RNA has got into a protein, it cannot get out again), i.e., DNA to RNA (sequences of four types of nucleotides) and DNA/RNA to protein (sequence of twenty types of amino acids) are allowed, but not the reverse ones. Thus, DBC transfers few-element information (DNA/RAN-like) to many-element information (protein-like). This characteristic of DBC can help to solve cognitive problems (e.g., pattern recognition). DBC can take many forms; this article elucidates two main forms, denoted as DBC-1 and DBC-2. Using arbitrary numerical examples, we demonstrate that DBC-1 can solve various cognitive problems, e.g., “similarity indexing between seemingly different but inherently identical objects” and “recognizing regions of an image separated by a complex boundary.” In addition, using an arbitrary numerical example, we demonstrate that DBC-2 can solve the following cognitive problem: “pattern recognition when the relevant information is insufficient.” The remarkable thing is that smart manufacturing-based systems (e.g., digital twins and big data analytics) must solve the abovementioned problems to make the manufacturing enablers (e.g., machine tools and monitoring systems) more self-reliant and autonomous. Consequently, DBC can improve the cognitive problem-solving ability of smart manufacturing-relevant systems and enrich their biologicalization. |
| first_indexed | 2024-03-08T20:57:47Z |
| format | Article |
| id | doaj.art-8117a65e13cb404eb4ba3964a1303a5e |
| institution | Directory Open Access Journal |
| issn | 2313-7673 |
| language | English |
| last_indexed | 2024-03-08T20:57:47Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomimetics |
| spelling | doaj.art-8117a65e13cb404eb4ba3964a1303a5e2023-12-22T13:55:43ZengMDPI AGBiomimetics2313-76732023-12-018862010.3390/biomimetics8080620Biologicalization of Smart Manufacturing Using DNA-Based ComputingSharifu Ura0Lubna Zaman1Division of Mechanical and Electrical Engineering, Kitami Institute of Technology, 165 Koen-cho, Kitami 090-0055, JapanAdvanced Manufacturing Engineering Laboratory, Kitami Institute of Technology, 165 Koen-cho, Kitami 090-0055, JapanSmart manufacturing needs cognitive computing methods to make the relevant systems more intelligent and autonomous. In this respect, bio-inspired cognitive computing methods (i.e., biologicalization) can play a vital role. This article is written from this perspective. In particular, this article provides a general overview of the bio-inspired computing method called DNA-Based Computing (DBC), including its theory and applications. The main theme of DBC is the central dogma of molecular biology (once information of DNA/RNA has got into a protein, it cannot get out again), i.e., DNA to RNA (sequences of four types of nucleotides) and DNA/RNA to protein (sequence of twenty types of amino acids) are allowed, but not the reverse ones. Thus, DBC transfers few-element information (DNA/RAN-like) to many-element information (protein-like). This characteristic of DBC can help to solve cognitive problems (e.g., pattern recognition). DBC can take many forms; this article elucidates two main forms, denoted as DBC-1 and DBC-2. Using arbitrary numerical examples, we demonstrate that DBC-1 can solve various cognitive problems, e.g., “similarity indexing between seemingly different but inherently identical objects” and “recognizing regions of an image separated by a complex boundary.” In addition, using an arbitrary numerical example, we demonstrate that DBC-2 can solve the following cognitive problem: “pattern recognition when the relevant information is insufficient.” The remarkable thing is that smart manufacturing-based systems (e.g., digital twins and big data analytics) must solve the abovementioned problems to make the manufacturing enablers (e.g., machine tools and monitoring systems) more self-reliant and autonomous. Consequently, DBC can improve the cognitive problem-solving ability of smart manufacturing-relevant systems and enrich their biologicalization.https://www.mdpi.com/2313-7673/8/8/620central dogma of molecular biologyDNA-based computingsmart manufacturingbiologicalization of manufacturingimage processingpattern recognition |
| spellingShingle | Sharifu Ura Lubna Zaman Biologicalization of Smart Manufacturing Using DNA-Based Computing Biomimetics central dogma of molecular biology DNA-based computing smart manufacturing biologicalization of manufacturing image processing pattern recognition |
| title | Biologicalization of Smart Manufacturing Using DNA-Based Computing |
| title_full | Biologicalization of Smart Manufacturing Using DNA-Based Computing |
| title_fullStr | Biologicalization of Smart Manufacturing Using DNA-Based Computing |
| title_full_unstemmed | Biologicalization of Smart Manufacturing Using DNA-Based Computing |
| title_short | Biologicalization of Smart Manufacturing Using DNA-Based Computing |
| title_sort | biologicalization of smart manufacturing using dna based computing |
| topic | central dogma of molecular biology DNA-based computing smart manufacturing biologicalization of manufacturing image processing pattern recognition |
| url | https://www.mdpi.com/2313-7673/8/8/620 |
| work_keys_str_mv | AT sharifuura biologicalizationofsmartmanufacturingusingdnabasedcomputing AT lubnazaman biologicalizationofsmartmanufacturingusingdnabasedcomputing |