This paper introduces CM-RETS, a 4-Level address Communication Model designed specifically for real-time simulation of electromagnetic transients in power systems. CM-RETS incorporates a unique 4-Level address scheme ...
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ISBN:
(纸本)9798350381993;9798350382006
This paper introduces CM-RETS, a 4-Level address Communication Model designed specifically for real-time simulation of electromagnetic transients in power systems. CM-RETS incorporates a unique 4-Level address scheme and leverages Remote Direct Memory Access (RDMA) technology to enable efficient and reliable data exchanges between computing nodes in a distributed system. By effectively distributing computational load, CM-RETS facilitates faster and more realistic simulations, ensuring precise and timely data exchanges within a 5 mu s time step to capture transients in real time. Experimental results validate the effectiveness and efficiency of CM-RETS in achieving accurate and real-time simulations of electromagnetic transients. With its robust and cost-effective solution, CM-RETS provides researchers and engineers with the means to perform detailed analysis and studies on power systems under various transient conditions.
Edge computing has transformed technology by enabling seamless connections between IoT devices, but it also introduces significant security challenges. EC is crucial for providing minimal latency processing and reduci...
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In this paper, a key technology intelligent system based on long distance guided wave radar is proposed to meet the special requirements of liquid level measurement in nuclear power units. By integrating advanced sign...
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This paper presents a hierarchical planning algorithm for racing with multiple opponents. The two-stage approach consists of a high-level behavioral planning step and a low-level optimization step. By combining discre...
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ISBN:
(纸本)9798350399462
This paper presents a hierarchical planning algorithm for racing with multiple opponents. The two-stage approach consists of a high-level behavioral planning step and a low-level optimization step. By combining discrete and continuous planning methods, our algorithm encourages global time optimality without being limited by coarse discretization. In the behavioral planning step, the fastest behavior is determined with a low-resolution spatio-temporal visibility graph. Based on the selected behavior, we calculate maneuver envelopes that are subsequently applied as constraints in a time-optimal control problem. The performance of our method is comparable to a parallel approach that selects the fastest trajectory from multiple optimizations with different behavior classes. However, our algorithm can be executed on a single core. This significantly reduces computational requirements, especially when multiple opponents are involved. Therefore, the proposed method is an efficient and practical solution for real-time multi-vehicle racing scenarios.
This paper analyzes the necessity of building an intelligent defense system for sensors, systematically designs the intelligent defense system from three aspects: hardware composition, Software architecture and inform...
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The proceedings contain 150 papers. The topics discussed include: citation bias in the physical sciences at the national scale;adaptive cooperative control for hybrid nonlinear multiagent systems;edge importance quant...
ISBN:
(纸本)9798331504755
The proceedings contain 150 papers. The topics discussed include: citation bias in the physical sciences at the national scale;adaptive cooperative control for hybrid nonlinear multiagent systems;edge importance quantification via second-order damage index;optimal design of the two-tier healthcare systems with internet diagnosis platform;state-feedback control of a class of nonlinear systems with neutral delays;intelligent-aided design for control parameters of kitchen waste pretreatment based on the specific Bayesian network expert system;iterative learning identification of singular nonlinear systems based on vector plot analysis;dynamic modeling and aerodynamic characteristics analysis of flapping-wing aerial vehicles;and synchronization of reaction-diffusion complex-valued neural networks via event-triggered sampling iterative learning control.
In 2020, China's motor ownership is about 2.95 billion kilowatts, and the annual power consumption account for more than 60% of the total social power consumption. Improving the motor operation efficiency will pla...
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Accompanied by the rapid development of computer science and technology, artificial intelligence (face recognition, licence plate recognition, violation recognition) technology has been widely used in electric power i...
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This paper presents a novel integration approach to enable EtherCAT-bus connection for commercial depth cameras. Thereby, a microcontroller-based EtherCAT slave is designed which controls the data transmission from th...
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ISBN:
(纸本)9798350355376;9798350355369
This paper presents a novel integration approach to enable EtherCAT-bus connection for commercial depth cameras. Thereby, a microcontroller-based EtherCAT slave is designed which controls the data transmission from the depth camera onto the fieldbus. As a demonstration case, a human-robot collaboration application is designed, where the proposed camera module monitors a five-axis robotic arm, thus ensuring safety through timely obstacle detection, and execution of safety stops. Achieving data transmission rates exceeding 25 Mbit/s and detection times under 25 ms, the implemented system outperforms existing technologies in human-robot collaboration, which allows to reduce the minimal safety distance to 75 mm.
With the advancements in technologies such as artificial intelligence, communication, and microelectronics, unmanned systems have rapidly developed and gradually replaced humans in certain challenging and adversarial ...
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