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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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.
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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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.
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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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.
This paper presents a cost-effective manual wheelchair systemdesigned to enhance mobility and communication for deaf-mute, disabled, and elderly individuals. The system employs a gesture-based mechanism using a glove...
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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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The tightening process is a critical component of modern intelligent manufacturing, and the systemdesign and process control of the tightening system have a decisive impact on the efficiency and quality of this *** a...
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The proceedings contain 32 papers. The special focus in this conference is on Artificial Intelligence and Communication Technologies. The topics include: Research and application of Distribution Network Digital Twin S...
ISBN:
(纸本)9789819969555
The proceedings contain 32 papers. The special focus in this conference is on Artificial Intelligence and Communication Technologies. The topics include: Research and application of Distribution Network Digital Twin Spatial Layout Technology;enterprise Accounting Decision Support system Based on Deep Learning Algorithm;research on Construction of Medical English Corpus and Automatic Labeling Algorithm Based on Deep Learning;research and Implementation of Rapid Construction of Digital Twins in Distribution Network Based on Data Driven;research and Implementation of Building a Digital Twin Model for Electric Grid Based on Deep Learning;design of Assistant system for Basketball Shooting Training of Teenagers Based on Deep Learning;an intelligent Arrangement Method for New Distribution Network Data Sharing Service;design of Information Security Protection system for Cloud Business system;industrial Area Power Load Forecasting Based on Seasonal Kalman Filter;application of Lidar Technology in Power engineering Surveying and Mapping;Research on Smart Car Safety Based on YOLOv3 Target Detection Algorithm;research and Construction of the Integrated Management system for the Grid-Connected Operation of the system Terminal;accuracy Analysis and Verification of Demand Superposition Calculation Method Based on Power Curve;construction of Security Control and Protection of Internal and External Networks of Communication Terminals Under the Heterogeneous Network Environment;Strategies for Improving Collaborative Filtering Library Circulation Services Based on AR Technology Under the Perspective of Five Education Initiatives;optimal Scheduling of Urban Logistics Service Supply Chain Based on Artificial Intelligence Algorithm;design of intelligent Transportation Assistant Decision system Based on Traffic Big Data.
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