Student management systems provide a data processing approach that universities in business processing widely use. Given the challenge of data storage and risks, weak concurrency and single-function controls are often...
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Vehicular Ad-Hoc Network(VANET) is an emerging wireless technology vital to the Intelligent Transportation System(ITS), which aims to mitigate traffic problems and improve road safety. Many VANET safety applications r...
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ISBN:
(纸本)9798350319439
Vehicular Ad-Hoc Network(VANET) is an emerging wireless technology vital to the Intelligent Transportation System(ITS), which aims to mitigate traffic problems and improve road safety. Many VANET safety applications rely on the periodic broadcast of vehicle status information in the form of Basic Safety Messages (BSMs). When the vehicle density increases, the wireless channel faces congestion resulting in unreliable safety applications. Various decentralized congestion control algorithms have been proposed to effectively decrease channel congestion by controlling transmission parameters such as message rate, transmission power, and data rate. This paper proposes a data rate-based congestion control technique using the Q-Learning algorithm to maintain the channel load below the target threshold. The congestion problem is formulated as a Markov Decision Process (MDP) and solved using a Q-learning algorithm. The goal is to select the most appropriate data rate when transmitting a BSM such that the channel load remains at an acceptable level. Data obtained from a simulated dynamic traffic environment is used to train the Q-Learning algorithm. Our results indicate that the proposed algorithm is able to achieve the target channel load while reducing packet loss compared to existing data rate-based approaches.
In the context of the high proportion of new energy development, grid-forming energy storage technology has been widely studied. However, existing methods have not fully considered the operating costs of heterogeneous...
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As advanced materials, wide bandgap semiconductors possess advantages such as high voltage and temperature tolerance, superior high-frequency characteristics, and low energy consumption, which have led to their widesp...
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ISBN:
(纸本)9798331517137;9798331517144
As advanced materials, wide bandgap semiconductors possess advantages such as high voltage and temperature tolerance, superior high-frequency characteristics, and low energy consumption, which have led to their widespread application in power devices. However, these excellent properties are also valuable for memristor applications. Currently, there is a lack of research foundation on the switching characteristics of wide bandgap semiconductors when applied to memristors, and further exploration is needed on the conduction mechanism and other electrical characteristics. In this work, we designed crossbar arrays of wide bandgap semiconductor silicon carbide (SiC)-based memristor. Through characterization and electrical testing, we demonstrated that the switching characteristics are caused by the electrochemical metallization mechanism (ECM). On a single device, the transition from volatility to non-volatility can be achieved by controlling compliance current (CC), with a symmetrical operating voltage of about +/- 0.5 V, a large switching ratio of similar to 10(3), and excellent pulse control ability. Our work paves the way for expanding the application of wide bandgap semiconductors and developing advanced memristors.
The advent of the Internet of Things (IoT) has brought with it a rapid proliferation of applications, which has in turn created a significant challenge for IoT nodes operating in resource-constrained environments in t...
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Human following for mobile robots has emerged as a promising technique with widespread applications. To ensure psychological comfort while collaborating, coexisting, and interacting with humans, robots need to respect...
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ISBN:
(纸本)9798350384581;9798350384574
Human following for mobile robots has emerged as a promising technique with widespread applications. To ensure psychological comfort while collaborating, coexisting, and interacting with humans, robots need to respect the social space of the target person. In this study, we propose a dual closed-loop human-following control strategy that combines model predictive control (MPC) and impedance control. The outer-loop MPC ensures precise control of the robot's posture while tracking the target person's velocity and direction to coordinate the motion between them. The inner-loop impedance controller is employed to regulate the robot's motion and interaction force with the target person, enabling the robot to maintain a respectful and comfortable distance from the target person. Concretely, the social interaction dynamics characteristics between the robot and the target person are described by human-robot interaction dynamics, which considers the rules of social space. Furthermore, an obstacle avoidance component constructed using behavioral dynamics is integrated into the impedance controller. Experimental results demonstrate the effectiveness of the proposed method in achieving human following and obstacle avoidance without intruding into the intimate zone of the target person.
In order to suppress the output Double-Line Frequency (DLF) ripple current from the Single-Stage PFC (SSPFC) based on LED driver, four methods based on Sigma structure is proposed in this paper. The operation principl...
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Carrying a robotic arm on a UA Venables the creation of an aerial manipulator system with the capability to actively execute tasks. However, challenges such as multiple variables, strong coupling, and high computation...
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This paper explores the potential of flash-Lidar for rotation motion estimation in deep space applications, particularly its capability to navigate and perform maneuvers around small-body asteroids. Building upon a mo...
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In this paper an advanced 12 nm bulk FinFET technology is characterized and modelled at cryogenic temperatures down to similar to 10 K to predict the behaviour of quantum control circuits. Carrier mobility, threshold ...
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ISBN:
(纸本)9798350316384;9798350316377
In this paper an advanced 12 nm bulk FinFET technology is characterized and modelled at cryogenic temperatures down to similar to 10 K to predict the behaviour of quantum control circuits. Carrier mobility, threshold voltage, and subthreshold swing were recalibrated to cryogenic temperatures using additional variables. This enhanced BSIM-CMG model addresses key differences in low temperature behaviour of the devices, thereby providing the framework to use and extend the current PDK models to the cryogenic temperatures for quantum computing applications. Measurements at the cryogenic temperatures on the 12 nm bulk FinFETs show improved performance as compared to the FinFETs reported previously.
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