The demand for improving the efficiency and accuracy of handling and classification of logistics products has increased due to the rapid development of e-commerce express, new energy vehicles, intelligent factories, a...
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As the circuits involved in the coded circuit drawings directly affect the operation status of the train, the accuracy of the drawings is crucial for coded circuits. This article studies a verification method applicab...
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This article examines the enhancement of power system network topology reconstruction algorithm using edge computing to increase intelligence and responsiveness of the power system. Through the implementation of an ed...
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The collapse of the carcass stands out as a primary mode of failure in marine flexible pipes. This paper delves into the multi-objective optimization design of the carcass layer's structure, considering the thickn...
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ISBN:
(纸本)9798350363272;9798350363265
The collapse of the carcass stands out as a primary mode of failure in marine flexible pipes. This paper delves into the multi-objective optimization design of the carcass layer's structure, considering the thickness of steel strip and the height-thickness ratio of profile as design variables. Objective functions involve unit length weight and critical collapse value. The application of the BP neural network, combined with the multi-objective particle swarm optimization (MOPSO) algorithm, contributes to the optimization process. Additionally, the improved minimum distance selection method is employed to extract optimal results from the Pareto front. The conclusions derived from this paper can provide valuable insights for the design of carcass collapse resistance in engineeringapplications.
In view of the dynamic simulation requirements of the construction process, using plug-in, GLSL rendering, key frame animation and collision detection technology, design and development of SiPESC animation editing and...
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The proceedings contain 65 papers. The topics discussed include: the role of AI agents in the reconfiguration of interdisciplinary educational design: an examination of applied practices and outcomes;research on the a...
ISBN:
(纸本)9798400716805
The proceedings contain 65 papers. The topics discussed include: the role of AI agents in the reconfiguration of interdisciplinary educational design: an examination of applied practices and outcomes;research on the application of WAgent in English writing teaching based on ai models;a research on multimodal interaction data architecture and application scenarios of intelligent educational robots based on the theory of multiple intelligences;navigating the application challenges of ChatGPT in education: promoting responsible use and minimizing mental risks;research and implementation of distance education for high voltage virtual simulation experiments based on emerging engineering;a study on the behavioral intention of primary and secondary school teachers using generative artificial intelligence in teaching;and teaching interaction analysis system based on live-streaming technology and its application.
The debugging quality in the debugging stage of the digital production line directly affects its processing accuracy. Due to the rich and varied production scenes and complex equipment associations, the general produc...
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RPA+AI is a combination of RPA technology and AI technology. Experts have long predicted that the relationship between RPA and AI is the same as the relationship between human hands and feet and brain, with RPA being ...
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ISBN:
(纸本)9798400708305
RPA+AI is a combination of RPA technology and AI technology. Experts have long predicted that the relationship between RPA and AI is the same as the relationship between human hands and feet and brain, with RPA being the hands and feet associated with "hands" and AI being the brain associated with "thinking" and "learning." With the development of science and technology, surveillance cameras have been applied to every corner of life, especially in the construction of Hainan free trade port, the application of monitoring system is more and more extensive. However, the rapid development of surveillance cameras has also brought many problems, for example: the number of surveillance cameras in businesses or schools can reach hundreds. When there is a problem and you want to view the playback of the monitoring, it is not only time-consuming and laborious, but also easy to produce visual fatigue. There are many such application scenarios, all of which, to varying degrees, require manual handling of tedious process work. This paper focuses on the deployment of RPA robots in these application scenarios. By cooperating with artificial intelligence, replacing the repetitive and monotonous screening and search work in the monitoring system, human error can be reduced to a certain extent, operating efficiency can be improved, and operating costs can be reduced. This paper takes traditional camera intelligence as an example, based on RPA, AI and machine vision technology, studies how to apply machine vision technology to traditional surveillance cameras, transform traditional surveillance cameras into intelligent surveillance cameras, and make effective information retrieval more convenient.
This paper presents the design and implementation of a Continuous Integration and Continuous Deployment (CI/CD) pipeline aimed at automating application containerization and deployment within Kubernetes clusters, usin...
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ISBN:
(纸本)9798331528690;9798331528706
This paper presents the design and implementation of a Continuous Integration and Continuous Deployment (CI/CD) pipeline aimed at automating application containerization and deployment within Kubernetes clusters, using free or open-source tools and technologies. The CI part leverages Jenkins, integrating tools such as Git, SonarQube, and Docker while the CD part, managed by ArgoCD, pulls code from a Git repository and deploys the application into Kubernetes. Continuous monitoring is provided by Prometheus and Grafana, while Kubecost facilitates cost analysis to optimize resource utilization. Comprehensive load tests evaluate performance and stability under various workloads, offering a robust and scalable framework that enhances development efficiency, system reliability, and operational agility.
With the great success of machine learning (ML) algorithms represented by deep learning in vision, speech recognition and other fields, while looking forward to and promoting the large-scale educational application of...
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