This paper presents the impact of data augmentation on the performance of biometrics gait system. The carried out work demonstrates the concept of using generative models in the form of data distribution modelling neu...
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Currently, most assembly guidance augmented reality systems focus on assembly geometry relationship using traditional interaction methods, leading to poor interactivity. To improve the situation, firstly, an augmented...
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ISBN:
(数字)9783031138706
ISBN:
(纸本)9783031138706;9783031138690
Currently, most assembly guidance augmented reality systems focus on assembly geometry relationship using traditional interaction methods, leading to poor interactivity. To improve the situation, firstly, an augmented reality system framework for part assembly based on assembly semantics is proposed. Secondly, the intelligent extraction of semantic information of assembly is realized, based on SolidWorks secondary development technology. Then the granularity modeling problem of the assembly scenario is studied. And finally, an augmented reality system for part assembly based on assembly semantics is developed, which verifies the effectiveness of the assembly guidance based on assembly semantics, and improves the human-computer interaction.
This study has proposed a novel method for assisting the visually impaired people by combining computer vision with cutting-edge technological instruments. Convolutional Neural Networks (CNNs) are primarily utilized f...
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With the development of society, the traditional retail industry has evolved into a pattern of coexistence of chain supermarkets, e-commerce sales, and unmanned retail, which greatly facilitates people's lives. Ho...
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Due to the powerful state awareness and optimization decision-making capabilities of Deep Reinforcement Learning (DRL), which avoid the traditional processes of physical modeling and formula solving, DRL has become on...
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The paper is based on cooperative game theory and cloud model theory to evaluate the health status of the electrical system of the scraper conveyor in the underground fully mechanized mining face. Firstly, establish a...
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Decentralized finance, or DeFi, has become the dominating application category on public blockchains like Ethereum. DeFi allows users to lend, borrow, collateralize, and exchange using smart contracts for a cheap cost...
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The use of machine learning represents a significant advancement in the field of detecting defects in transmission lines. This study looks at how machine learning methods can be used to analyze the impacts of compensa...
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Augmented Reality (AR) is one of the most promising technologies with many practical applications, enhancing/augmenting the real world with virtual information/objects. With advances in AR technology and affordable AR...
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Cyber-physical systems often require fault detection of future events in order to mitigate the fault before failure occurs. Effective on-board runtime verification (RV) will need to not only determine the system's...
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ISBN:
(纸本)9783031426254;9783031426261
Cyber-physical systems often require fault detection of future events in order to mitigate the fault before failure occurs. Effective on-board runtime verification (RV) will need to not only determine the system's current state but also predict future faults by predetermined mitigation trigger deadlines. For example, if it takes three seconds to deploy the parachute of an Unmanned Aerial system (UAS), the deployment of the parachute must be triggered three seconds before it is needed to mitigate the impending crash. To allow for the detection of future faults by deadlines, we design a real-time Model Predictive Runtime Verification (MPRV) algorithm that uniquely uses current data traces whenever possible, predicting only the minimum horizon needed to make an on-deadline evaluation. Although MPRV is extensible to other RV engines, we deploy the algorithm on the R2U2 RV engine due to R2U2's resource-aware architecture, real-time guarantees, and deployment history. We demonstrate the utility of the MPRV algorithm through a quadcopter case study and evaluate the effectiveness of our implementation by conducting memory usage and runtime performance analysis in a resource-constrained FPGA environment.
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