Abstract: Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and ...
Abstract: This study proposes a mixed traffic flow control structure, utilizing multi-lane fleets composed of a small portion of connected and autonomous vehicles (CAVs) in mixed flow as mobile ...
Abstract: Cloud-edge computing has been widely-adopted for large-scale data sharing and processing. In practical data sharing systems, data are very sensitive and typically encrypted, such as health ...
“Coercive control” is the term for a diabolical relationship pattern that can have devastating consequences. It occurs when one person unreasonably interferes with another person’s free will and ...
Blood vessels in the brain are highly interconnected and efficient in actively regulating blood flow. Yet, the mechanisms that regulate flow are not well studied on a holistic level. To determine how ...
Abstract: This paper proposes a model-based deep reinforcement learning (DRL) framework to maximize the total power output and minimize the fatigue load of a floating offshore wind farm subject to ...
Abstract: In datacenters, lossless network is very attractive as it can achieve ultra-low latency. In commodity Ethernet, lossless forwarding is achieved by hop-by-hop Priority-based Flow Control (PFC ...
Abstract: With the acceleration of urbanization, the problem of urban traffic congestion has become increasingly serious. This study aims to develop an intelligent traffic flow control system based on ...
Abstract: This paper presents a traffic oscillation mitigation-oriented optimal control framework for connected and automated vehicles (CAVs) in a mixed traffic environment where the behavior of human ...
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