Prediction of nanosilver and dye content on silk fabric using a scanner-based artificial intelligence technique

Nateri, Ali Shams; Hasanlou, Elham; Hajipour, Abbas

doi:10.1108/prt-02-2021-0023

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…l m The horizontal resolution, vertical resolution, and diagonal length of the monitor are represented by w m 4 and d m , respectively. n is the parameter that controls the ratio of ppi and dpi, where ppi and dpi are the monitor pixel density and standard pixel density, respectively, and dpi = 160px/inch [8]. After real-time resampling, non-critical vertices in the original data can still be streamlined.…”

Section: Establishment Of Hs Model Based On Real-time Data Streamliningmentioning

confidence: 99%

Virtual Reality Scenario Analysis of Art Design Taking into Account Interactive Digital Media Pattern Generation Technology

Liu

2024

SCPE

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In art design, 3D printing technology is crucial, and more and more creators conceive scenes using 3D modeling software to get a three-dimensional and beautiful work. Due to the large amount of noise and redundant points in the raw data collected during the modeling process, the generation speed and rendering effect of 3D models are reduced. Given the above problems, the study designed an interactive 3D lightweight modeling system based on the combination of hand-drawn sketching and laser 3D scanning based on the streamlined algorithm. The experimental results showed that when the hand-drawn speed was 300, the number of triangular slices, model size, and time required to generate the model of the hand-drawn sketching model based on the streamlined algorithm were reduced by 67.39%, 65.48%, and 63.79%, respectively. In the real-time point cloud data streamlining process of the laser 3D scanning model, the point cloud data reduction ratio and the streamlining goodness index of the point cloud streamlining algorithm are 71.99% and 3.06%, respectively. The system performance is robust, and the data processing speed and rendering effect are good.

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Section: Establishment Of Hs Model Based On Real-time Data Streamliningmentioning

confidence: 99%

Virtual Reality Scenario Analysis of Art Design Taking into Account Interactive Digital Media Pattern Generation Technology

Liu

2024

SCPE

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“…The elements of Lingnan intangible cultural heritage are integrated into the design of cultural and creative products in a modern way, combining them with artificial intelligence technology so as to create a more interesting and novel form of cultural and creative products, thus forming a unique modern cultural and creative product with cultural connotation [5][6]. Lingnan intangible cultural heritage is the core of cultural and creative products.…”

Section: Introductionmentioning

confidence: 99%

Research on the Design of Cultural and Creative Products Based on Lingnan Intangible Cultural Heritage in the Age of Artificial Intelligence

Qin

2023

Applied Mathematics and Nonlinear Sciences

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Lingnan Intangible Cultural Heritage (ICH) has a long history and contains rich and unique regional culture, which can provide new thoughts and ideas for cultural and creative product design. In this paper, firstly, the cVAE-GAN network model is utilized to extract the features of the modeling symbols of Lingnan intangible cultural heritage, which helps to obtain the modeling symbols of Lingnan intangible cultural heritage for cultural and creative product design. Secondly, the HSV color space model realizes the refinement of the color elements of Lingnan intangible cultural heritage, which promotes the application of color diversity in the design of Lingnan cultural and creative products. Then, the two methods are combined with artificial intelligence technology to construct the Lingnan emotional interactive cultural and creative product design framework, which enables the computer to integrate the designer’s design emotion on the basis of learning modeling and color and promotes the enhancement of the emotional value of Lingnan non-heritage cultural and creative products. Finally, to verify the effectiveness of the method described in this paper, a relevant test analysis was conducted. The results show that when the computational order is more than 60 orders, the cVAE-GAN network in this paper extracts the styling symbol features in only about 115ms, the PSNR improvement of the HSV color space model under different color blocks is more than 2dB, and the RSD of H-channel can be found to be in the range of 0.5% to 5.0% after performing color noise removal. Carrying out the cultural and creative product design of Lingnan intangible cultural heritage in the era of artificial intelligence needs to be more clear about the shape and color of the intangible heritage and fully combine with the designer’s emotion in order to make the Lingnan intangible cultural and creative products revitalized with new vitality.

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Leveraging multi-output modelling for CIELAB using colour difference formula towards sustainable textile dyeing

Chen,

Liu,

et al. 2024

Auton. Intell. Syst.

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Textile dyeing requires optimizing combinations of ingredients and process parameters to achieve target colour properties. Modelling the complex relationships between these factors and the resulting colour is challenging. In this case, a physics-informed approach for multi-output regression to model CIELAB colour values from dyeing ingredient and process inputs is proposed. Leveraging attention mechanisms and multi-task learning, the model outperforms baseline methods at predicting multiple colour outputs jointly. Specifically, the Transformer model’s attention mechanism captures the complex interactions between dyeing ingredients and process parameters, while the multi-task learning framework exploits the intrinsic correlations among the L*, a*, and b* dimensions of the CIELAB colour space. In addition, the incorporation of physical knowledge through a physics-informed loss function integrates the CMC colour difference formula. This loss function, along with the attention mechanisms, enables the model to learn the nuanced relationships between the dyeing process variables and the final colour output, thereby improving the overall prediction accuracy. This reduces trial-and-error costs and resource waste, contributing to environmental sustainability by minimizing water and energy consumption and chemical emissions.

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Prediction of nanosilver and dye content on silk fabric using a scanner-based artificial intelligence technique

Cited by 5 publications

References 24 publications

Virtual Reality Scenario Analysis of Art Design Taking into Account Interactive Digital Media Pattern Generation Technology

Virtual Reality Scenario Analysis of Art Design Taking into Account Interactive Digital Media Pattern Generation Technology

Research on the Design of Cultural and Creative Products Based on Lingnan Intangible Cultural Heritage in the Age of Artificial Intelligence

Leveraging multi-output modelling for CIELAB using colour difference formula towards sustainable textile dyeing

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