Designing and Manufacturing the AI Robot for Water Resources Management

• Autorzy: Thuong Vu Ngoc , Binh Le Khac

Identyfikatory

DOI

10.15439/2022R48

• Języki publikacji: EN

Abstrakty

EN

Information technology is nowadays developing strongly, especially the artificial intelligence field. These technologies are being applied to the manufacture of robots, the interdisciplinary combination has created more and more perfect, smarter robots which are applied in many different fields. Stemming from the actual demand in the irrigation industry in the field of water resources, we have researched, fabricated, and programmed artificial intelligence robots to manage water resources. Robots are designed with an interdisciplinary combination of the fields of Mechanics, Electronics and Information Technology. The robot has the main functions of being able to interact with verbal communication, and controlling peripheral devices of water pump devices. The successful robots manufacturing meets practical needs and can be applied in practice to help manage water resources scientifically and effectively.

Słowa kluczowe

EN

AI robots; intelligence; mechatronics; IT; water resources

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2022
• Tom: Vol. 33
• Strony: 289--293
• Opis fizyczny: Bibliogr. 5 poz., rys., tab., wykr.

Twórcy

autor

Thuong Vu Ngoc

• Faculty of Mechanical Engineering Thuy Loi University Ha Noi, Vietnam

autor

Binh Le Khac

• Science Management and International Collaboration Department Vinh University of Technology Education Vinh city, Vietnam

Bibliografia

• [1] Hu, S. (2015, July). Dynamic monitoring based on wireless sensor networks of IoT. In Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on (pp. 1-4). IEEE.
• [2] Ferdoush, S., & Li, X. (2014). Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications. Procedia Computer Science, 34, 103-110.
• [3] Le Hoai Quoc, Robotics Technology, Ho Chi Minh City National University Publishing House, 2005.
• [4] Peter Marwedel, 2011. Embedded System Design: Embedded Systems Foundations of Cyber Physical Systems, 2nd Edition. Springer.
• [5] Sung, W. T., Chen, J. H., Huang, D. C., & Ju, Y. H. (2014, October). Multisensors realtime data fusion optimization for IoT systems. In 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2299-2304). IEEE

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).