Hedging Approach for Scheduling Actuator Data Transmission in Networked Adaptive Control Systems

Dogan, K. Merve; Yucelen, Tansel; Muse, Jonathan A.

doi:10.1016/j.ifacol.2019.12.630

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…The W value represents the importance of implementing the recommended behavior and is the difference between the predicted benefit and the actual benefit. In this algorithm, a single agent does not need to know the information of other agents participating in the competition, and at the same time, it no longer needs to obtain the state transition probability of the system, but only needs to know the local environmental 5 Wireless Communications and Mobile Computing knowledge [25]. The update method of the W value is…”

Section: Artificial Intelligence-based Health Management Systemmentioning

confidence: 99%

National Sports AI Health Management Service System Based on Edge Computing

Hua-li

Han

2021

Wireless Communications and Mobile Computing

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With the development of the economy, people’s living standards continue to improve, and the management awareness of their own health and safety has gradually increased. The human body usually has a long process of transition from being healthy to the appearance of disease, and people’s lifestyle and daily behavior will affect the health of the body to a large extent. This paper studies the national sports AI health management service system based on edge computing. This paper organically combines edge computing, artificial intelligence, and health management service systems. Through detection devices with smart sensors and smart health systems, a comprehensive health management service platform for the masses is constructed to promote the development of sports health management services. Upgrade and transform to make it more in line with the modern intelligent environment. The advancement of modern technology has gradually transformed my country’s traditional health record management service to an intelligent electronic health record management system. From the experimental data, it can be seen that the filing rate and pass rate of residents’ electronic files have reached 88.275% and 87.435%, but the utilization rate of health files is only 31.685%. The establishment of a supporting health management service system is precisely to effectively increase the utilization rate of health files, so that users can truly enjoy intelligent, professional, and real-time health services.

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Section: Artificial Intelligence-based Health Management Systemmentioning

confidence: 99%