Self-sovereign identity (SSI) enables the creation of user-centric applications where the user has complete control over his data. This research evaluates the performance of SSI-based applications. This work proposed ...
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ISBN:
(纸本)9798350310191
Self-sovereign identity (SSI) enables the creation of user-centric applications where the user has complete control over his data. This research evaluates the performance of SSI-based applications. This work proposed an architecture based on the Hyperledger Indy and Hyperledger Aries frameworks, deployed it in a cloud environment, and executed its empirical evaluation. The results indicate that the bottleneck is the CPU;a simple setup can support up to 80 concurrent users without relevant errors and 120 simultaneous users before system degradation. Finally, we discuss the system bottlenecks and possible optimization techniques.
A new method is presented to obtain outer-approximations of forward reachable sets for Linear Parameter-Varying (LPV) systems controlled by neural networks for safety verification. The method relies on abstracting the...
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ISBN:
(数字)9781665473385
ISBN:
(纸本)9781665473385
A new method is presented to obtain outer-approximations of forward reachable sets for Linear Parameter-Varying (LPV) systems controlled by neural networks for safety verification. The method relies on abstracting the activation functions by optimization-based sector constraints. The forward reachable sets are obtained in terms of solutions to a set of Linear Matrix Inequalities (LMIs). A numerical example is provided to demonstrate the applicability of the proposed method. A comparison with some available methods is also included.
In this paper, we propose a hybrid model integrating deep learning methods and classical epidemiological theories. Under this framework, the simplifying assumptions of the original SEIR model are extended, and by inte...
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The DTP-PMSM, known for its fault tolerance, low voltage requirement, high power capacity, and stable torque output, is extensively employed in electric vehicle applications. With an increase in the number of motor ph...
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In this paper, novel parametric identification is addressed by the disturbance observer (DOB) relevant algorithm. To fully utilize the disturbance observer, a proper nominal model, which is a parametric model, is esse...
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The flourishing development of autonomous driving technology has brought forth a pivotal question, which is how to enhance the safety of autonomous vehicles. Ensuring vehicle safety requires comprehensive attention no...
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This paper described the design of a wind pendulum system, comprising four main components: the operative unit, the data acquisition module, the human-computer interaction interface, and the algorithmic core. By lever...
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This paper aims to investigate the potential of open winding induction generators (OWIGs) to enhance the efficiency and reliability of renewable energy systems. With the growing demand for sustainable energy solutions...
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In this paper, a Hopf oscillator-based weakly nonlinear oscillator is proposed to present its electromagnetic model, and then the matching control analysis framework is given from viewpoint of large-scale power system...
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Robot-driving motors are frequently driven at high temperatures as their weight-to-torque ratio increases for various movements of robots. Such an increase in driving temperature reduces the magnetic flux density of t...
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ISBN:
(纸本)9781665476331
Robot-driving motors are frequently driven at high temperatures as their weight-to-torque ratio increases for various movements of robots. Such an increase in driving temperature reduces the magnetic flux density of the permanent magnet and the torque constant of the motor. Particularly in applications that mainly utilize feed-forward torque control without an additional torque sensor, this torque constant reduction leads to severe degradation of torque control performance. This research proposes a torque control method that compensates for the torque constant depending on temperature by identifying the relationship between magnet temperature and the torque constant. In addition, since it is difficult to measure the temperature of the rotor-attached magnet directly, lumped parameter thermal network(LPTN) and full-state observer are used for magnet temperature estimation. The robustness of the proposed controller is verified through experimental results of torque error from 6.19% without compensation to 0.65% with compensation.
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