On a global scale, the COVID-19 pandemic had quite a negative influence on society, the economy, transportation, and the environment. There will be an eruption of covid-19 in Vietnam, especially in 2021, which would impair internal freight transit. Restricting road and aviation travel to inland waterways is an extreme strategy to deal with the situation. This paper examines the Vietnam national inland waterway transportation infrastructure, highlighting the outstanding problems. Finally, some solutions were proposed to fully utilize the transportation industry’s capabilities during and after the pandemic.
Oil and gas projects differ from regular investment projects in that they are frequently large-scale, categorised as vital national projects, highly technological, and associated with significant risks. Drilling rigs are a crucial component of the oil and gas sector and the majority of the systems and equipment aboard drilling rigs are operated automatically. Consequently, it is crucial to address the topic of an advanced control theory for off-shore systems. Network technology connected to control is progressively being used to replace outdated technologies, together with other contemporary technologies. In this study, we examine how to adapt a networked control jacking system to the effects of internal and external disturbances with a time delay, using a Fuzzy controller (FC)-based particle swarm optimisation. To demonstrate the benefit of the proposed approach, the developed Fuzzy Particle Swarm Optimisation (FPSO) controller is compared with the fuzzy controller. Finally, the results from simulations and experiments utilising Matlab software and embedded systems demonstrate the suitability of the proposed approach.
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