Digital convert stations are crucial hubs in the construction of new power systems, and the Internet of Things (IoT) perception network with the fusion terminal as its core provides essential support. To address the c...
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Artificial intelligence and robots have had a profound impact on the healthcare sector. In this paper, an adaptive neural control scheme of a prosthetic thigh simulation robot (PTSR) of gait simulation and evaluation ...
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One or two RGB-D images cannot provide enough information to detect cut-off points in pruning systems. 3D semantic point clouds constructed from many RGB-D images represent real tomato plants and help the system find ...
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ISBN:
(纸本)9781665499248
One or two RGB-D images cannot provide enough information to detect cut-off points in pruning systems. 3D semantic point clouds constructed from many RGB-D images represent real tomato plants and help the system find the cut-off points correctly. We proposed a method to create 3D semantic point clouds based on ORB-SLAM3, ICP (iterative closet point) algorithm, and semantic segmentation neural network. RGB-D images are converted to semantic images by the semantic segmentation neural network. Each pair of camera poses which is estimated by ORB-SLAM3, and an RGB-D semantic image is used to create a 3D point cloud. The ICP method is applied to stick and refine these point clouds to construct a full 3D semantic point cloud.
We propose a novel hierarchical priority mechanism for deadlock recovery of distributed swarm via on-demand collision avoidance in cluttered dynamic environments. The proposed priority mechanism dynamically assigns ce...
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ISBN:
(纸本)9798350377712;9798350377705
We propose a novel hierarchical priority mechanism for deadlock recovery of distributed swarm via on-demand collision avoidance in cluttered dynamic environments. The proposed priority mechanism dynamically assigns certain priority and an optimized detour point for each agent based on its spatial context to avoid deadlocks which are predicted by properly designed deadlock conditions;as a byproduct, this priority mechanism allows us to effectively resolve livelocks as well. The resulting optimization problem is then solved by polar reformulation and alternating minimization methods. Simulation results demonstrate that, in both static and dynamic environments, our method (termed PriDRAM) outperforms the baseline Alternating Minimization Swarm (AMSwarm) method which does not explicitly account for deadlock recovery, with a 10.5% improvement in average smoothness and a 4.8% reduction in flight time. Moreover, for narrow passages, our method shows a superior performance against the Distributed Linear Safe Corridor (DLSC) method, with a more reasonable passing order and an achievement of up to 40% reduction in flight path length. Finally, we verify the efficacy of our proposed method with a Crazyflie 2.1 quadrotor swarm.
This paper presents an intelligent maintenance scheduling model for 5G networks using a deep reinforcement learning approach, specifically ECA-DenseNet-DQN. The proposed model optimizes the allocation of maintenance p...
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The consequences of the recent breakthroughs in controlsystems and robotics span a wide range of industries. The study also discusses about the possibilities and challenges of future research in these areas, with a f...
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Addressing the challenge of monitoring profiles in the context of the phase I linear quantile mixed model, this paper assumes that binary profiles obtained from fixed samples collected over time adhere to a normal dis...
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With a growing complexity of the intelligent traffic system (ITS), an integrated control of ITS that is capable of considering plentiful heterogeneous intelligent agents is desired. However, existing control methods b...
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ISBN:
(纸本)9798350399462
With a growing complexity of the intelligent traffic system (ITS), an integrated control of ITS that is capable of considering plentiful heterogeneous intelligent agents is desired. However, existing control methods based on the centralized or the decentralized scheme have not presented their competencies in considering the optimality and the scalability simultaneously. To address this issue, we propose an integrated control method based on the framework of Decentralized Autonomous Organization (DAO). The proposed method achieves a global consensus on energy consumption efficiency (ECE), meanwhile to optimize the local objectives of all involved intelligent agents, through a consensus and incentive mechanism. Furthermore, an operation algorithm is proposed regarding the issue of structural rigidity in DAO. Specifically, the proposed operation approach identifies critical agents to execute the smart contract in DAO, which ultimately extends the capability of DAO-based control. In addition, a numerical experiment is designed to examine the performance of the proposed method. The experiment results indicate that the controlled agents can achieve a consensus faster on the global objective with improved local objectives by the proposed method, compare to existing decentralized control methods. In general, the proposed method shows a great potential in developing an integrated control system in the ITS.
In this paper, a method of single-phase grounding fault line selection based on high frequency energy proportion of zero sequence current and polarity clustering is proposed. According to the energy proportion of the ...
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In contrast to centralized controlsystems, distributed controlsystems possess superior flexibility, reliability, scalability and maintenance convenience, when managing intricate tasks and keeping system stable. To a...
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ISBN:
(纸本)9798350363272;9798350363265
In contrast to centralized controlsystems, distributed controlsystems possess superior flexibility, reliability, scalability and maintenance convenience, when managing intricate tasks and keeping system stable. To actualize the intricate functionalities of machines and streamline the development and maintenance procedures, a methodology for constructing one kind of distributed control system based on PROFINET communication is devised here. This methodology is specifically designed for the development of field devices with Siemens SINUMERIK ONE systems, which are hardware configured and programmed via the automated programming software TIA Portal. This article focuses on the characteristics and establishment methods of the two communication modes for different real-time requirements in PROFINET IO communication, and introduces the building of device network in detail. By applying this methodology, practical verification was conducted on the bevel gear testing machine. The feasibility of the methodology was substantiated by the successful realization of the anticipated function and the system's stable operation.
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