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The demand for product design has risen as new technologies such as big data and cyber-physical systems (CPSs) emerge. Digital product design entails employing modern digital technology to complete the product design process. In the contemporary world, the trend of consumers’ preference for customized design products is rising exponentially. To mee...
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Although conventional business models have been increasingly affected in front of the big data technology application, it has also brought new opportunities and challenges for enterprise development. In order to create a higher value, enterprises should keep pace with the times and actively develop business innovation service models. The greatest v...
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... Consumers respect their cultural heritage and seek out items that reflect it [6]. Developing cultural and creative tourist goods transforms conventional travel assets, improving their economic benefits and attractiveness in market places [7]. This is a key factor in promoting local culture and developing the tourist industry, as each location has unique qualities [8]. ...
Aesthetics are significant because they may elicit emotions, induce feelings of pleasure or desire, and convey an item's perceived worth and desirability. A well-designed and visually appealing product might stick apart in a competitive market and capture the interest of customers. In contrast, a badly constructed product may be disregarded or considered as inferior quality, regardless of its real functioning. In this manuscript, Product Appearance Aesthetics in Industrial Design Based on Variational Onsager Neural Network Optimized with Osprey Optimization Algorithm (PAAID-VONN-OOA) is proposed. The input image is collected from the Product Design Aesthetic Database. Then the images are pre-processing using Master-Slave Adaptive Notch Filter (MSANF) to remove the noise. The pre-processed image is given into the Variational Onsager Neural Networks which is used for Product Appearance Aesthetics in Industrial Design. In general, the Variational Onsager Neural Network does no express adapting optimization techniques to determine ideal parameters to assure precise prediction. Therefore, it is proposed to utilize the Osprey Optimization Algorithm enhancement Variational Onsager Neural Network for Product Appearance Aesthetics in Industrial Design. The proposed PAAID-VONN-OPA method is implemented on python. Then, the performance of proposed technique is compared with other existing techniques. The proposed technique attains 16.28%, 30.78% and 25.29% higher accuracy, 29.13%, 18.47%, and 31.69% higher precision, 28.96%, 33.21% and 23.89% higher specificity comparing with the existing methods such as An Aesthetic Measurement Approach for Evaluating Product Appearance Design (PAAID-ETT)Research on Modern Book Packaging Design under Aesthetic Evaluation Based on Deep Learning Model (PAAID-SVM), and Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning (PAAID-DCNN).
... And Bao et al. constructed a culture product gene to generate a culture product model that satisfies user preferences [33]. Yang used the product evolutionary design approach and coding the parameters of shape and material as product genes [34]. LI combined with similarity theory and product gene theory, and proposed a product gene similarity analysis based quality evaluation method [35]. ...
Function-behavior-structure (FBS) method models the functional structure and principle scheme in conceptual design by connecting three variables: product function, behavior, and structure. The traditional FBS method cannot deal effectively with the cooperation problem between man and machine in the function achievement process. This paper proposes an FBS-based interactive mechanical product design method by extending the behavior layer. First, define and transform operational behavior from the function to the behavior layer. Second, the genetic engineering method is used in expected operational behavior design. In this part, the operational behavior as genetic information is constructed to operational behavior genes model by Extenics theory. Based on a homology product sample library, screen the target gene through the GloVe model and similarity algorithm. The original operational behavior is then modified to an expected one by Extenics transformation. Finally, the product structure is obtained through an analogy transformation process. This way, the operational behavior problem in the interactive mechanical product can be solved by this FBS design process. The feasibility and effectiveness of the proposed process are verified in the development of an apple picking device.
