In behavior recognition, the accuracy of recognition results is deeply affected by input video processing, which is crucial. Therefore, in order to improve the efficiency and accuracy of SlowFast behavior recognition ...
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作者：
Giridhar, E.V.Parthipan, V.Saveetha University
Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Tamil Nadu Chennai India Saveetha University
Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Big Data and Network Security Tamil Nadu Chennai India
The purpose of this work is to investigate the effectiveness of DensNet and Logistic Regression in terms of accurately predicting the classification of footwear *** this study, there are two groups: the Novel DensNet ...
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In recent years, IoT and machine learning solutions have garnered immense popularity with the rise of industry 4.0. It is extremely important to document system requirements to deliver solutions that meet customer dem...
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One of the challenges for safety engineering in the coming years is to fully exploit the potential of artificial intelligence technologies, while maintaining a high level of interpretability, trustworthiness, and acco...
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ISBN:
(数字)9783031687389
ISBN:
(纸本)9783031687372;9783031687389
One of the challenges for safety engineering in the coming years is to fully exploit the potential of artificial intelligence technologies, while maintaining a high level of interpretability, trustworthiness, and accountability. In this position paper, we argue that neuro-symbolic artificial intelligence approaches could represent the ideal framework to address tasks in the field of safety engineering, by combining the capability of neural networks of processing large volumes of data and of handling uncertainty, with the expressive power of symbolic approaches in modeling domain knowledge, rules, and constraints.
Considering the current state of teaching for the course Web Design and Production, which involves a vast amount of knowledge points but insufficient class hours, as well as a singular organization of teaching content...
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Product teardowns or related activities may help novice engineers develop an understanding of systems and products. These activities allow for novices to directly explore physical components and the connections betwee...
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ISBN:
(纸本)9780791887325
Product teardowns or related activities may help novice engineers develop an understanding of systems and products. These activities allow for novices to directly explore physical components and the connections between those components in a given product, which are both aspects of robust systems thinking. In this study, students' mental models of common products are examined before and after a product teardown activity using a previously published mental model elicitation method. Participants completed the product teardown activity in groups, identifying components, functionality, and opportunities for design improvement. Results suggest that a product teardown activity improves mental model representations of the same given product. However, the results also show that a product teardown activity has no impact on mental model representations of other closely related products. This suggests that product teardowns do not necessarily foster knowledge transfer as expected. Examples of a student's mental model representations before and after the product teardown activity are provided. This study sets the foundation for future research on the relationships between systems thinking, mental models, engineering expertise, and other educational interventions within the context of engineering education. In future work, the results of this study may be compared with an identical study with 4(th)-year undergraduate students to investigate the role of expertise on knowledge transfer and its relationship to the development of robust systems thinking skills.
The use of mobile technology and software applications has revolutionized civil engineering and construction processes, allowing professionals to perform complex calculations, planning, drafting, designing, and analys...
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Seed classification and germination prediction are crucial aspects of modern agriculture and ecosystem restoration. Seeds are vital for agriculture and biodiversity conservation, and their accurate classification and ...
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作者：
Xiang, RuijieGuo, YongYan, WeiPeng, XiaoQu, Junle
College of Physics and Optoelectronic Engineering Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen University Shenzhen518060 China
A multifunctional fluorescence imaging system based on LabVIEW has been developed, which can perform fluorescence intensity scanning imaging, and fluorescence lifetime imaging (FLIM). The system utilizes software base...
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This article describes a hardware-software complex based on the use of a capacitive proximity sensor, as well as high-level software written in the Python programming language. The primary objective of this system is ...
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