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Kamahara, Aoyama, and Oya (2013) used polka dots as design targets, and associated patterns and impressions of patterns with the color, the size and the arrangement of polka using with neural networks. In view of the above, there is a need to establish a method for accurately reflecting user KANSEI and easily developing a design proposal through which a natural impression would be generated by a computer. In addition, the design generated by the computer is a regular shape and pattern, and it is difficult to create a design that gives a natural impression.
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However, it is difficult to reflect the image and the KANSEI of a human in a computer, thus raising the problem that the exchange of the image and KANSEI among consumers, designers, and engineers may not be successful therefore, it becomes difficult to generate a design that matches their KANSEI. In order to solve such a problem, a support system pertaining to the development of computer-aided design has advanced. The designer is required to propose a design that presents high conformity to the demanded concept, while understanding the sensitivity of consumers and considering various conditions. However, designers face great challenges because various factors intertwine in a complicated manner, and the consumer preference has diversified. For this reason, the designs of the products that are thought to greatly influence consumer sensitivity are considered more important than ever. In other words, it may be said that the level of conformity between the product and the consumer KANSEI has become a decisive factor in the value of the product. In addition, consumer values for products have changed consumers are not satisfied with only the functions that are normally expected of products, and their present demands involve items that are comfortable and that fit into their own lifestyle. In the development of industrial products in recent years, it is becoming difficult to discriminate by performance or quality owning to advancement in manufacturing technology, and discrimination on the design aspect is considered effective.
#Topaz impression gl open 3.2 technology crack
As a result, a system was constructed, in which a crack pattern that satisfied the input produces an output according to the desired impression of the user.įinally, an evaluation questionnaire was distributed, and the usefulness of the system was confirmed.ĭigital design, Crack patterns, KANSEI engineering, Neural network 1. The neural network was composed of three layers, namely the input layer, the hidden layer, and the output layer it adopted the sigmoid function as the transition function and the back propagation as the learning method. In addition, by using the neural network, the crack patterns were associated with user KANSEI. In this study, a Bézier curved surface and fluctuation were employed in order to induce a natural impression. This work is focused on crack patterns that can be observed on pottery surfaces, and a method for generating crack patterns on a cup surface is suggested. The purpose of this research is to develop a system that incorporates the KANSEI of users, and emits a pattern design that induces a natural impression using a computer. To address these issues, the support of the development of computer-aided design has advanced however, it is difficult to reflect human KANSEI or to generate a design that induces a natural impression through computers. In addition, as consumers seek products that match their own sensibilities (KANSEI), designers are required to propose designs that highly conform to concept presented by client, while understanding the KANSEI of diversified consumers therefore, their burden is increasing.
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With the development of manufacturing technology in recent years, as well as with the industrial product development, differentiation in the design aspect is becoming effective, not in terms of performance or quality.