The industrial crane is an important tool and equipment for modern industrial production and lifting transportation to realize the automation of the production process as well as mechanization, however, it is vulnerab...
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Unmanned aerial vehicle (UAV) recovery is an important technology of unmanned systems for remote water surface active detection. The lack of resisting deck disturbances capability for UAV autonomous perching in dynami...
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With the popularity of the Internet of Things (IoT) technology, people are beginning to monitor the safety and stability of the system by establishing a sensing network so that anomalies can be detected and disposed o...
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The automation of substation equipment inspection is a pivotal development area within the power industry. Traditional substation equipment inspection methods utilizing instance segmentation models trained on specific...
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Fire is a leading cause of unnatural deaths in daily life. Battery-powered wireless smoke alarm systems are crucial in preventing fire deaths in communities. However, large-scale applications face issues such as rapid...
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To solve the problem that the drive motor of underwater desilting robot is easily disturbed by its own or external load, an online linear active disturbance rejection controller based on improved Differential Evolutio...
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The quadrotor aircraft holds extensive prospects for applications in various fields, including transportation, military operations, rescue, and search missions. These domains present challenging demands, offering sign...
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The flexible job-shop problem is one of the classical problems that have attracted much attention in the field of industrial automation and control. For the Multi-Objective Flexible Job-shop Scheduling Problem (MOFJSP...
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ISBN:
(纸本)9798350352481;9798350352474
The flexible job-shop problem is one of the classical problems that have attracted much attention in the field of industrial automation and control. For the Multi-Objective Flexible Job-shop Scheduling Problem (MOFJSP), this paper proposes a hybrid particle swarm Non-dominated Sorting Genetic Algorithm II (NSGA-II) to solve the problem. The high-quality solution of the problem is obtained through particle swarm optimization as part of the initial population of NSGA-II, and an elite strategy is used to prevent the loss of outstanding individuals by mixing all the individuals of the parent and the offspring in a non-dominated sorting method. This approach not only facilitates automation in manufacturing and production but also enhances the control and optimization of complex systems. Furthermore, integrating intelligent transportation systems and the Internet of Things (IoT) into the scheduling process ensures real-time fault diagnosis and fault-tolerant control, thereby improving the overall efficiency and reliability of the production system. The experimental results show that the hybrid optimization approach combining PSO and NSGA-II exhibits superior performance in solving MOFJSP. This research contributes to the advancement of cyber-physical systems and the automation of complex industrial processes.
The nasal cavity is not only complicated and narrow but also close to the orbital floor and the skull base. It poses a significant challenge in safely and precisely manipulating instruments to the intended surgical si...
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The method of hand gesture recognition based on surface electromyography (sEMG) signals has garnered increasing attention due to its real-time, convenient, and non-invasive characteristics. This paper presents the des...
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