Aiming at the problems of complex data distribution logic and low execution efficiency in intelligent cluster simulation, an intelligent cluster simulation system based on DDS is designed. Firstly, according to the ch...
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Aiming at the problems of complex data distribution logic and low execution efficiency in intelligent cluster simulation, an intelligent cluster simulation system based on DDS is designed. Firstly, according to the characteristics of cluster combat system, DDS is used to build the architecture of intelligent cluster simulation environment;Secondly, the specific implementation of the simulation system is described in detail from the system operation logic flow and working mode;Finally, through the hardware in the loop cluster formation simulation test, the data interaction ability, real-time and expansibility of the simulation system are verified. The test results show that this simulation system has data-efficient, high-speed interactive capabilities, and can realize cluster distributed real-time simulation.
The development of science and technology is the continuous development of health monitoring technology, intelligent health monitoring has gradually. This paper describes the technical principles, application scenario...
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In this paper, an automatic cigarette appearance defect detection system based on deep learning algorithm is proposed, aiming to improve the defect detection efficiency and accuracy in the cigarette production process...
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ISBN:
(纸本)9798350377040;9798350377033
In this paper, an automatic cigarette appearance defect detection system based on deep learning algorithm is proposed, aiming to improve the defect detection efficiency and accuracy in the cigarette production process. By using a pre-trained ResNet18 network model, the system automatically identifies defective products in the cigarette production line. We trained and validated the model on the dataset, and showed the trends of the loss function and accuracy during the training process. The experimental results show that the model can effectively recognize multiple cigarette defects, especially in handling broken and deformed defects, and exhibits high accuracy and robustness. The study shows that the application of deep learning-based defect detection technology in cigarette production has significant potential and can provide intelligent solutions for quality control.
The proceedings contain 117 papers. The topics discussed include: DC servo motor angle control based on PID control system;design of an environmental monitor based on STM32 microcontroller;design and simulation of ada...
ISBN:
(纸本)9781837242672
The proceedings contain 117 papers. The topics discussed include: DC servo motor angle control based on PID control system;design of an environmental monitor based on STM32 microcontroller;design and simulation of adaptive PID control for dc motors based on adaptive boosting;simulation of a PID controller for DC servo motor using octave online;applications of micro-electromechanical systems in robot control;simulation and analysis of speed current double closed-loop dc speed regulation system based on MATLAB;research on control of DC servo motor angle based on fuzzy PID;and applications and prospects of mems technology in wearable devices design.
intelligent technologies are used in recruitment for the purpose of accelerating its procedure and hiring the most suitable for the vacant position and qualified staff. Despite extensive research in the field of apply...
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This paper presents two methods of designing BLDC motor drives. Both are purely hardware-based and do not use high-speed control units. One is a drive circuit built using pure MOSFETs, diodes and resistors based on ri...
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ISBN:
(纸本)9798350377040;9798350377033
This paper presents two methods of designing BLDC motor drives. Both are purely hardware-based and do not use high-speed control units. One is a drive circuit built using pure MOSFETs, diodes and resistors based on ring oscillator method. It is widely used in a simple application situations. The structure is relatively simple and practical, but it has startup issue, another one uses comparators and MOSFET driver chip to build a hardware circuit which based SPWM method. It is relatively complicated, but has better startup performance. The comparative analysis has been illustrated in this paper while using this two type of drivers.
The study of the mechanical vibrations of a system is important to ensure the safety of a structure. In the field of civil engineering, it is becoming increasingly common to use auxiliary systems called dynamic absorb...
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ISBN:
(纸本)9783031662676;9783031662683
The study of the mechanical vibrations of a system is important to ensure the safety of a structure. In the field of civil engineering, it is becoming increasingly common to use auxiliary systems called dynamic absorbers, also called Tuned Mass Dampers (TMDs), which are capable of decreasing the vibrations of the main system. They are characterized by mass-spring systems and eventually by a damper. In virtue of the presence of such systems, the operating frequency band of the main structure can be expanded. They are used in civil engineering works to counteract both the action of earthquakes, which cause excitation at the base of the structure, and wind action, which must be taken into account especially in the case of high-rise buildings. In this paper, we will focus on the optimal design of the parameters of a TMD for a vibrating frame with three degrees of freedom. The purpose of this paper is to demonstrate that the Den Hartog method can be generalized for a Multiple Degrees of Freedom (MDF) system. To this end, we will consider the structure subjected to a displacement imposed at the base by an earthquake that occurred in Loma Pietra in 1989. The dynamic analysis of the system was carried out by using MATLAB, while for the realization of the virtual 3D structure we used INVENTOR.
The design of English teaching system based on artificial intelligence technology aims to solve the problems of insufficient training time and low efficiency in traditional English teaching. The research adopts advanc...
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To optimize the dispatch of Electric Vehicle Virtual Energy Storage (EVVES) across wide-ranging networks, this research presents a highly precise virtual energy storage capacity estimation model. By clustering the typ...
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E-government is beneficial to improving the efficiency of government organs, promoting the public satisfaction and establishing the credibility of official handling. It is also an inevitable requirement to adapt to th...
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