The shift to Industry 5.0 emphasizes human-machine collaboration, personalization, sustainability, and worker support. This paper explores integrating Digital Twins (DT) and Cyber-physical Production Systems (CPPS) wi...
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ISBN:
(纸本)9783031807749;9783031807756
The shift to Industry 5.0 emphasizes human-machine collaboration, personalization, sustainability, and worker support. This paper explores integrating Digital Twins (DT) and Cyber-physical Production Systems (CPPS) within a human-centric Smart Manufacturing framework. Digital Twins offer real-time prediction, simulation, and optimization, enhancing production efficiency and adaptability. CPPS merges computational and physical processes, supporting human-machine collaboration and improved decision-making. The main objective is to enhance sustainability, efficiency, and human-centricity in data-driven manufacturing. This research reviews current technologies, proposes a novel framework integrating DT and CPPS, and assesses implementing a Smart Product (SP) within a Smart Factory (SF) scenario. Key innovations include designing and integrating SPs, developing smart manufacturing processes, and applying DT for enhanced SP functionality. The findings demonstrate improvements in production efficiency, customization, human-machine collaboration, and sustainability, aligning with Industry 5.0 principles. The study concludes with recommendations for future research to integrate ergonomics, cybersecurity, and ethical considerations in smart manufacturing.
The integration of machine learning (ML) and Internet of Things (IoT) technologies has a scope of improvement in precision farming techniques and revolutionise the agriculture sector. This research paper examines the ...
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This paper aims at arguing the impact of digital technologies and system dynamics models towards the achievement of the United Nations - Sustainable Development Goals (UN-SDGs). Interrelated with numerous fields, this...
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This study addresses the significance of spatio-temporal data analytics in Intelligent Transportation Systems (ITS), the various sources of spatio-temporal data, and the different technologies used to deploy ITS. It e...
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Software engineering (SE) education aims to seamlessly blend theoretical knowledge with practical exposure, ensuring students the grasp of SE's foundational principles, design methodologies, implementation, testin...
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ISBN:
(纸本)9798350391343
Software engineering (SE) education aims to seamlessly blend theoretical knowledge with practical exposure, ensuring students the grasp of SE's foundational principles, design methodologies, implementation, testing, and maintenance capabilities with communication paradigms and problem-solving strategies. Under rapid evolvement and advancement, new technologies such as blockchain and artificial intelligence are poised to redefine the SE landscape. However, traditional SE curricula often lag behind in incorporating cutting-edge technologies, particularly in student class projects. This paper underscores the significance of blockchain within the SE pedagogical framework. Specifically, we introduce a project-based learning approach with blockchain technology to create an open-source software repository for students to engage in requirement analysis, design, implementation, and maintenance of blockchain-oriented software development. These activities will allow students to understand the nature and architecture of blockchain applications that have long been ignored in both computer science and SE education. Practicing these projects will enable learners to become experts in blockchain software development and rethink the need for improving requirements elicitation, design, development, and testing strategies. The repository consists of ten modules, each of which contains real-world topics. We have developed one of ten modules so far, which focuses on a blockchain-based student record database. A preliminary survey, both pre and post-exposure, was conducted with 24 university students of both undergraduate and graduate levels pursuing degrees in either computer science or software engineering programs. The feedback was overwhelmingly positive, highlighting the value of our approach in enhancing the learning experience of novel technologies. The participants also emphasized the need for adopting blockchain-based ideas in course projects. Our future endeavors will focus on
Self-supervised switch getting to know is a practical approach for the scientific image type. It includes using unlabeled statistics (from non-clinical images) to teach models to categorize medical photos with low att...
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The advancements of internet of things sensors, artificial intelligence data analytics, and big data technologies have shifted Agriculture making new possibilities of productivity, sustainability, and decision making....
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作者：
PrathyakshiniPrathwiniPratheeksha Hegde, N.VaishaliRashmi, N.Kumar, Archana Praveen
NMAM Institute of Technology Department of Information Science and Engineering Karkala Nitte India
NMAM Institute of Technology Department of Master of Computer Applications Karkala Nitte India
NMAM Institute of Technology Department of Computer Science and Engineering Karkala Nitte India Manipal Academy of Education
Manipal Institute of Technology Department of Computer Science and Engineering India
Speech recognition systems play an integral role in numerous applications, from virtual assistants to accessibility tools. This paper offers a new viewpoint to speech recognition utilizing computer vision and deep lea...
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The advancement of metal additive manufacturing (AM) technologies has enabled the creation of complex geometries for various applications. This paper explores the development of a topology optimized and additively man...
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The air quality prediction process is a more significant one for air pollution prevention and management because air pollution becomes crueller. The precise identification of air quality has become a more significant ...
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