Microelectronics is an important field that has the potential to revolutionize many industries, offering numerous c areer opportunities, including research and development, desig n, manufacturing, and testing. The cur...
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ISBN:
(纸本)9781665453318
Microelectronics is an important field that has the potential to revolutionize many industries, offering numerous c areer opportunities, including research and development, desig n, manufacturing, and testing. The current state of undergradu ate education in this field is outdated and inadequate to meet th e demands of the modern industry. Despite the importance of t his field, there are several challenges facing undergraduate cou rses in this area. In this part, we will discuss the current state a nd urgent necessity of reformation in microelectrics undergrad uate education. We will also discuss the advantages and disadv antages of incorporating Chat-Bots into microectronics educati on.
Artificial Intelligence (AI) is at the cusp of disruptive force across sectors, and the application in higher education stands to deeply transform it. This paper, therefore, wrestles in great depth with the many-facet...
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The computing sector has undergone radical changes in the last few decades. Conventional computers use binary (1s and 0s) numbers to perform tasks that are specified by the user. Using the concepts of quantum physics,...
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University of Nottingham Ningbo China (UNNC) has been investigating the use of an augmented-reality (AR) educational game to aid in the teaching of Design for Manufacturing and Assembly (DfMA) theories in design and e...
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ISBN:
(纸本)9781665453318
University of Nottingham Ningbo China (UNNC) has been investigating the use of an augmented-reality (AR) educational game to aid in the teaching of Design for Manufacturing and Assembly (DfMA) theories in design and engineering education (DEE). DfMA mastery is critical, as it allows students to create products that are feasible for mass production;it increases material optimization, shortens manufacturing times, and elevates overall quality. However, feedback from students and published research indicates that the topic is complex and underappreciated. Utilizing AR and gamification (GF) is relatively novel in this context, but it has the potential to redefine the topic by giving each student an enhanced learning experience that is fun, engaging, visually appealing, and cognitively stimulating. Our game was developed by a Students-as-Partners (SaP) team at UNNC and combines a tangible puzzle with an AR interface, encouraging collaboration, cooperation, and reflective practices. This research focuses on undergraduate DDE students and aims to understand students' perceptions of AR educational games and their influence on students' intrinsic motivation and performance. The results of this study inform the deployment of AR technology in classroom settings, as well as the instructional design of AR and GF learning experiences.
Music learning plays an important role in cultivating the aesthetic taste and developing creativity of young people. The current traditional music education is unable to provide rich and diverse learning resources, no...
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This article discusses how to use information technology to reform the curriculum system, teaching content, and methods. Relying on the online open course of "Civil engineering Materials", it uses the BOPPPS...
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The advent of Artificial Intelligence (AI) in this fast-changing education landscape promises to be one of the transformative forces, altering the mode of curation and delivery of educational content. This paper, henc...
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Artificial Intelligence (AI) has the potential to herald a new dawn of instructional and operational excellence in the higher education domain, thereby reshaping the dimensions of teaching and learning and administrat...
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With the surge of 5G technology, research on intelligent transportation systems has emerged as a forefront area, with vehicle detection technology at its core. This paper delves into vehicle detection utilizing YOLOv5...
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Quantum Machine learning (QML) has emerged as a promising intersection of quantum computing and classical machine learning, anticipated to drive breakthroughs in computational tasks. This paper discusses the question ...
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ISBN:
(纸本)9798331541378
Quantum Machine learning (QML) has emerged as a promising intersection of quantum computing and classical machine learning, anticipated to drive breakthroughs in computational tasks. This paper discusses the question which security concerns and strengths are connected to QML by means of a systematic literature review. We categorize and review the security of QML models, their vulnerabilities inherent to quantum architectures, and the mitigation strategies proposed. The survey reveals that while QML possesses unique strengths, it also introduces novel attack vectors not seen in classical systems. We point out specific risks, such as cross-talk in superconducting systems and forced repeated shuttle operations in ion-trap systems, which threaten QML's reliability. However, approaches like adversarial training, quantum noise exploitation, and quantum differential privacy have shown potential in enhancing QML robustness. Our review discuss the need for continued and rigorous research to ensure the secure deployment of QML in real-world applications. This work serves as a foundational reference for researchers and practitioners aiming to navigate the security aspects of QML.
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