التفاصيل البيبلوغرافية
| العنوان: |
A Novel Ergodic Cellular Automaton Model of Gene-Protein Network: Theoretical Nonlinear Analyses and Efficient FPGA Implementation |
| المؤلفون: |
Shogo Shirafuji, Hiroyuki Torikai |
| المصدر: |
IEEE Access, Vol 11, Pp 300-312 (2023) |
| بيانات النشر: |
IEEE, 2023. |
| سنة النشر: |
2023 |
| المجموعة: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| مصطلحات موضوعية: |
Gene-protein network, cellular automaton, nonlinear dynamics bifurcation phenomena, field programmable gate array, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| الوصف: |
A novel ergodic cellular automaton model of gene-protein network is presented. It is shown that the presented model can predict occurrences of typical nonlinear phenomena of a conventional ordinary differential equation gene-protein network model. In addition, theoretical analysis methods of the presented model are proposed. Using the analysis methods, an important advantage of the presented model is revealed: the ergodic cellular automaton is better suited to predict the occurrences of the nonlinear phenomena of the differential equation gene-protein network model compared to a regular (standard) cellular automaton. Furthermore, the presented model is implemented by a field programmable gate array and experiments validate its operations. It is then revealed that the presented model is much more hardware-efficient compared to a standard numerical integration formula of the differential equation model. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2169-3536 |
| Relation: |
https://ieeexplore.ieee.org/document/9998543/; https://doaj.org/toc/2169-3536 |
| DOI: |
10.1109/ACCESS.2022.3231895 |
| URL الوصول: |
https://doaj.org/article/f0b87e6cfba049cb965df31e6c4bbbd1 |
| رقم الانضمام: |
edsdoj.f0b87e6cfba049cb965df31e6c4bbbd1 |
| قاعدة البيانات: |
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