Thermomechanical constitutive modeling is crucial for understanding and designing shape memory polymers (SMPs) for advanced engineering applications. Traditional approaches are often time-consuming and computationally...
ISBN:
(数字)9798331504847
ISBN:
(纸本)9798331504854
Thermomechanical constitutive modeling is crucial for understanding and designing shape memory polymers (SMPs) for advanced engineering applications. Traditional approaches are often time-consuming and computationally expensive which requires the development of more efficient and accurate methods. In this paper, we propose a Transformer-based deep learning model to predict the thermomechanical behavior of semicrys-talline two-way shape memory polymers (2W-SMPs) under thermomechanical cycles. By leveraging its ability to capture complex, time-dependent patterns, the framework accurately models the intricate relationships between polymer strain, time, temperature, and stress. A comparative analysis with other deep learning models demonstrates that the Transformer excels in accuracy and robustness by capturing intricate dependencies and non-linearities in the data. The test results demonstrate that our proposed Transformer model achieved a root mean squared error (RMSE) of 0.3365, outperforms the traditional deep learning models such as the feedforward neural network (FNN), convolutional neural network (CNN), and long short-term memory (LSTM) models which achieved RMSE values of 6.78, 17.35, and 13.85, respectively. This study highlights the potential of the Transformer model as a powerful tool for predicting material behavior and reducing the time and resources required for constitutive modeling.
This paper addresses the challenges of maintaining stability in heterogeneous vehicle platooning under the influence of communication disruptions caused by Byzantine attacks within a leader-follower framework. To enha...
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Several physical phenomena associated with fluid–solid interaction occur in the presence of granular, micro, nanoscale, and crystal structures. Heat transfer in fluids containing such microbodies cannot be studied us...
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TTS (Text-to-Speech) document reader from Microsoft, Adobe, Apple, and OpenAI have been serviced worldwide. They provide relatively good TTS results for general plain text, but sometimes skip contents or provide unsat...
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ISBN:
(数字)9798350368741
ISBN:
(纸本)9798350368758
TTS (Text-to-Speech) document reader from Microsoft, Adobe, Apple, and OpenAI have been serviced worldwide. They provide relatively good TTS results for general plain text, but sometimes skip contents or provide unsatisfactory results for mathematical expressions. This is because most modern academic papers are written in LaTeX, and when LaTeX formulas are compiled, they are rendered as distinctive text forms within the document. However, traditional TTS document readers output only the text as it is recognized, without considering the mathematical meaning of the formulas. To address this issue, we propose MathReader, which effectively integrates OCR, a fine-tuned T5 model, and TTS. MathReader demonstrated a lower Word Error Rate (WER) than existing TTS document readers, such as Microsoft Edge and Adobe Acrobat, when processing documents containing mathematical formulas. MathReader reduced the WER from 0.510 to 0.281 compared to Microsoft Edge, and from 0.617 to 0.281 compared to Adobe Acrobat. This will significantly contribute to alleviating the inconvenience faced by users who want to listen to documents, especially those who are visually impaired. The code is available at https://***/hyeonsieun/MathReader.
Smart manufacturing is a holistic strategy for product optimization in manufacturing with minimum costs and improved operational efficiency. However, the implementation of smart manufacturing technologies in small and...
Smart manufacturing is a holistic strategy for product optimization in manufacturing with minimum costs and improved operational efficiency. However, the implementation of smart manufacturing technologies in small and medium enterprises (SMEs) is limited due to a lack of awareness and understanding of their potential benefits. The manuscript aims to propose a hybrid picture fuzzy information (PFI)-based decision support tool and its application in dealing with the smart manufacturing technologies assessment problem for SMEs. The proposed method firstly computes the decision experts’ weights using a picture fuzzy distance measure and rank sum model. In the following, a modified distance measure is introduced for PFI and presents its effectiveness over the existing ones. Next, the individual experts’ views are combined into group decisions using picture fuzzy Sugeno-Weber-weighted geometric (PFSWWG) operators. To this aim, new PFSWWG operators are developed for PFI with their desirable characteristics. Further, a collective weighting procedure is developed by combining the objective weight with the symmetry point of criteria (SPC) model and subjective weight via the picture fuzzy ranking comparison (RANCOM) method. Based on these procedures, we present a hybrid combinative distance-based assessment (CODAS) approach for solving multi-criteria group decision-making (MCGDM) problems with PFI. Moreover, the CODAS model is executed as a case study of smart manufacturing technologies evaluation problems for SMEs, which exemplifies its practicality and feasibility. Sensitivity assessment is accomplished to test the steadiness and reliability of the attained outcomes. Lastly, the comparison is made to validate the robustness and effectiveness of the proposed methodology. The findings show that the presented methodology can offer a practical way to solve smart manufacturing selection problems with uncertain data.
In inviscid, incompressible flows, the evolution of vorticity is exactly equivalent to that of an infinitesimal material line-element, and hence vorticity can be traced forward or backward in time in a Lagrangian fash...
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This work considers the distance constrained formation control problem with an additional constraint requiring that the formation exhibits a specified spatial symmetry. We employ recent results from the theory of symm...
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In this article, we tackle the problem of the existence of a gap corresponding to Young measure relaxations for state-constrained optimal control problems. We provide a counterexample proving that a gap may occur in a...
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Single-use plastic bottled water (SUPBW) is a major contributor to microplastic pollution. This study aimed to investigate factors influencing university students' consumption of SUPBW. This cross-sectional survey...
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Recently, several mathematicians have investigated various partition functions with the goal of discovering Ramanujan-type congruences. One such function is B2α (n), which represents the number of 2α−regular overpar...
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