In today's world, a lot people are searching and applying for jobs. When there is a need for company to recruit new employees, it is difficult for them to select the correct resume according to their job descripti...
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control centers for automated vehicle fleets (CC-AVFs) are pivotal in enabling autonomous driving at a large scale. This work conducts a holistic survey of CC-AVFs, focusing on European studies. It discusses operation...
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ISBN:
(纸本)9798350399462
control centers for automated vehicle fleets (CC-AVFs) are pivotal in enabling autonomous driving at a large scale. This work conducts a holistic survey of CC-AVFs, focusing on European studies. It discusses operational concepts, requirements, architectures, transmission technologies, monitoring, and remote operation methods. Additionally, we present a design concept for CC-AVFs that structures the outlined topics and addresses dependencies. This paper connects the fragmented literature regarding CC-AVFs and gives design considerations to guide future research for efficient and safe CC-AVF implementation in contexts such as public transport.
The use of features of the internal circuitry of integrated circuits (ICs), when designing pulse shapers based on transistor-transistor logic (TTL) ICs, provides the maximum steepness of the generated pulse edges with...
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The project, therefore, is to be a ResQ using deep learning capabilities for an enhanced response and coordination in cases of disaster. The best sources of real-time data on the weather services, government alerts, a...
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In this paper, an adaptive semi-active suspension system by adjusting air springs is proposed to design of vehicle stability control system, which can achieve handling stability. In order to develop the adaptive contr...
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ISBN:
(纸本)9798350399462
In this paper, an adaptive semi-active suspension system by adjusting air springs is proposed to design of vehicle stability control system, which can achieve handling stability. In order to develop the adaptive control algorithm, the CarSim dynamic model is acquired, and a reinforcement learning scheme using the deep deterministic policy gradient (DDPG) control strategy is used to decide the best amount of air spring pressure. This method is able to adjust the yaw activity to avoid understeer and oversteer issues as well as increasing the vehicle stability. In summary, the simulation results show that the handling stability is improved by 25.78% under high road curvatures.
With the growing demand for cloud computing services, it is important to efficiently manage resources using proper strategies in order to save energy consumption while retaining high-level performance. The innovative ...
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This paper introduces a unique Energy management scheme (EMS) designed to improve the distribution of energy among photovoltaic (PV) systems, fuel cells (FC), and battery energy storage systems. The suggested approach...
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The issue of transparency in diagnostic methods has been a crucial challenge in Alzheimer's Disease detection. This paper focuses on analyzing state-of-art deep learning algorithms namely, customized convolutional...
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This is the model obtained in relation to the real system. And, based on this validation, a study and comparison of the various control techniques can be carried out via simulations, with the aim of identifying the be...
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Electric Vehicles are replacing the conventional combustion engines vehicles due to a number of advantages like less emissions, use of cleaner fuel etc at a high pace. They work on batteries which are basically operat...
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