التفاصيل البيبلوغرافية
| العنوان: |
Design of a Nuclear Monitoring System Based on a Multi-Sensor Network and Artificial Intelligence Algorithm |
| المؤلفون: |
Min Kyu Baek, Yoon Soo Chung, Seongyeon Lee, Insoo Kang, Jae Joon Ahn, Yong Hyun Chung |
| المصدر: |
Sustainability; Volume 15; Issue 7; Pages: 5915 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2023 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
multi-sensor network, artificial intelligence, radiation monitoring, nuclear energy, radioactive material |
| جغرافية الموضوع: |
agris |
| الوصف: |
Nuclear power is a sustainable energy source, but radiation management is required for its safe use. Radiation-detection technology has been developed for the safe management of radioactive materials in nuclear facilities but its performance may vary depending on the size and complexity of the structure of nuclear facilities. In this study, a nuclear monitoring system using a multi-sensor network was designed to monitor radioactive materials in a large nuclear facility. Additionally, an artificial-intelligence-based localization algorithm was developed to accurately locate radioactive materials. The system parameters were optimized using the Geant4 Application for Tomographic emission (GATE) toolkit, and the localization algorithm was developed based on the performance evaluation of the Artificial Neural Network (ANN) and Decision Tree (D-Tree) models. In this article, we present the feasibility of the proposed monitoring system by converging the radiation detection system and artificial intelligence technology. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Sustainable Engineering and Science; https://dx.doi.org/10.3390/su15075915 |
| DOI: |
10.3390/su15075915 |
| الاتاحة: |
https://doi.org/10.3390/su15075915 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.D8F4A592 |
| قاعدة البيانات: |
BASE |