To better understand the research hotspots and development trends of yarn tension in the textile industry, this study analyzed relevant literature on yarn tension over the past 20 years by retrieving data from the Web...
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ISBN:
(纸本)9798400711848
To better understand the research hotspots and development trends of yarn tension in the textile industry, this study analyzed relevant literature on yarn tension over the past 20 years by retrieving data from the Web of Science core dataset and employing scientometric analysis methods. Network maps were created using scientific literature analysis tools such as VOSviewer and Citespace. Through visual analysis of literature statistics, keyword co-occurrence and clustering, and keyword bursts, this study revealed the current research hotspots and development trends in yarn tension, providing a reference for future research work.
This paper presents lessons learned through intensive workforce development projects with the USDOT ITSJPO PCB initiative connected and automated vehicle education (CAVe). With the support of Ohio Department of Transp...
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ISBN:
(数字)9780784485521
ISBN:
(纸本)9780784485521
This paper presents lessons learned through intensive workforce development projects with the USDOT ITSJPO PCB initiative connected and automated vehicle education (CAVe). With the support of Ohio Department of Transportation (ODOT) and DriveOhio Student Transportation Advancement research (STAR) program, the University of Cincinnati Infrastructure Institute (UCII) team has assembled CAVe-in-a-Box and CAVe-Lite Infrastructure and Mobile kits. In this project, CAVe-in-a-Box assembly integrated with latest computer vision based detection technology has been utilized as a demonstration tool to showcase real-world benefits such as the vulnerable road user (VRU) safety at intersections. Furthermore, CAVe-Lite module has been utilized to actively engage 5-12 grade students in a scaled, hands-on desktop level smart mobility technology deployment.
The RFC standard document provides a detailed description of how a system is designed and correctly used to maintain security. The document itself may already contain information for predicting the existence of certai...
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ISBN:
(纸本)9798350371000;9798350370997
The RFC standard document provides a detailed description of how a system is designed and correctly used to maintain security. The document itself may already contain information for predicting the existence of certain security issues. RFCdiff is a tool that uses NLP technology to automatically extract rules from RFC documents, identify differences and assess their compliance with RFC specifications. Through evaluations of well-known TLS implementation libraries such as OpenSSL, mbedTLS, GnuTLS, and WolfSSL, total of 56 security issues due to differences were identified. This research offers a valuable reference for potential issues in the implementation of SSL/TLS.
Despite extensive accessibility research, inaccessible websites remain stubbornly prevalent, partly due to limited accessibility awareness among web developers. The advent of code generation models presents an opportu...
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ISBN:
(纸本)9798400710308
Despite extensive accessibility research, inaccessible websites remain stubbornly prevalent, partly due to limited accessibility awareness among web developers. The advent of code generation models presents an opportunity to guide accessibility-unaware developers toward enhanced accessibility practices. Our work examines the current state of accessibility in AI-assisted web development. Empirical evidence reveals code generation models serve as a double-edged sword, prompting a discussion on future research directions.
The steel industry is one of the world's highest energy consumption. It is important to improve its energy efficiency. Energy consumption prediction can help steel industry better plan and manage energy use. Based...
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ISBN:
(纸本)9798350351774;9798350351767
The steel industry is one of the world's highest energy consumption. It is important to improve its energy efficiency. Energy consumption prediction can help steel industry better plan and manage energy use. Based on a low-code development platform, multiple prediction algorithm models are used to predict the energy consumption. A low-code algorithmic platform support is provided for the steel industry to achieve energy saving and efficiency improvement.
In this paper, TF-IDF algorithm is used to extract high-frequency keywords, LDA topic model is used to extract topic words, and TF-IDF vectorized text is used to calculate topic similarity. It is made a multi-dimensio...
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ISBN:
(纸本)9798350375343;9798350375336
In this paper, TF-IDF algorithm is used to extract high-frequency keywords, LDA topic model is used to extract topic words, and TF-IDF vectorized text is used to calculate topic similarity. It is made a multi-dimensional quantitative analysis and qualitative research for 94 artificial intelligence education policies in China, and comprehensively studies the hotspots and topic evolution paths of artificial intelligence education policies. It was found that 'education', 'construction', 'development', *** the hotspots of policy in this field in the past ten years, and found the evolution law of themes in different stages. This clearly grasps the context and trend of the development of artificial intelligence education policy in China, and provides a good reference for the later policy formulation and adjustment.
The development of the steel industry management system is facing the challenge of rapid development response under the rapid change of business. Business evolution requires the support of low-code platforms but tradi...
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ISBN:
(纸本)9798350351774;9798350351767
The development of the steel industry management system is facing the challenge of rapid development response under the rapid change of business. Business evolution requires the support of low-code platforms but traditional low-code platforms are unable to meet the multi-scenario requirements of process-oriented industries. In order to realize low-code development under cloud-native platform, this paper proposes a service partitioning method based on microservice architecture. Briefly, the extraction of activity instances is realized based on Domain-Driven Design(DDD). Semantic information templates are constructed to realize the formal semantic information entry of activity instances. Finally, low-coupling and high-cohesion service partitioning is realized based on the Louvain graph clustering method. Experiments in the steel procurement business prove the feasibility of the microservice architecture.
Modern agriculture faces the critical challenge of efficiently managing weeds to ensure optimal crop yield and sustainability. Traditional weed management practices often fall short of addressing the complexities of d...
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ISBN:
(纸本)9798331511425;9798331511432
Modern agriculture faces the critical challenge of efficiently managing weeds to ensure optimal crop yield and sustainability. Traditional weed management practices often fall short of addressing the complexities of diverse agricultural landscapes. This research aims to construct the weeder for the detection and removal of weeds unfold across two aspects: the design and development of the weeder and the construction of the deep learning model. The dataset is developed from the images of Monochoria vaginalis and Limnocharis flava weeds acquired from the paddy plots. YOLOv8, a renowned algorithm for real-time object detection, is employed to identify the weeds in paddy fields. The model is able to correctly predict weeds 99% of the time, and it can correctly predict non-weeds 100% of the time. The novelty of this research is the autonomous identification and removal of paddy weeds based on deep learning model operated in a custom built weeder robot.
This study explores the application of AIGC in the development of digital resources for online programming courses, pointing out that AI technology brings new opportunities for educational resource development, but fa...
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ISBN:
(纸本)9798400710131
This study explores the application of AIGC in the development of digital resources for online programming courses, pointing out that AI technology brings new opportunities for educational resource development, but faces problems such as technical limitations and uneven resource quality. Cracking this dilemma can be started from course research, PPT development, text and video resource production, course portal design and auxiliary programming software application, etc. It also puts forward the deficiencies of specific AI in digital resource construction. It is concluded that the complementary models of AI and artificial intelligence need to be explored in the context of teaching and learning in order to maximize the potential of AI in education.
The computer transforms the way information is presented and creates the framework for visual communication and interaction by combining text, sound, and image. Enhancing the visual communication effect and ultimately...
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