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Article
Publication date: 31 July 2007

Yung‐Hsiang Hung

The aim of this research is to combine the Taguchi method and hybrid methods of artificial intelligence, to use them as the optimal tool in wire bond designing parameters for an…

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Abstract

Purpose

The aim of this research is to combine the Taguchi method and hybrid methods of artificial intelligence, to use them as the optimal tool in wire bond designing parameters for an ultra‐thin chip scale package (CSP) package, and then construct a set of the optimal parameter analysis flow and steps.

Design/methodology/approach

The hybrid methodology of artificial Intelligence was used in order to identify the optimum parameters design for a wire bonding of ultra‐thin CSP package. This paper employed desirability function to integrate two quality characteristics (loop height and wire pull strength) into a single quality indicator to construct a well‐trained neural network prediction system with hybrid genetic algorithm.

Findings

The processes parameters of low‐loop of micro HDD driver IC were optimized with GA, thereby achieving the objective of improving process yield and robustness design of micro HDD driver IC.

Practical implications

The engineers could quickly obtain the optimal production process parameter with the demand of multi‐quality characteristics, and enhance the assembly quality and yield of driver IC of micro HDD.

Originality/value

This paper applies the design of experiments approach to a lower wire loop processes parameters design, and improves the process yield and robustness design of micro HDD driver IC.

Details

Microelectronics International, vol. 24 no. 3
Type: Research Article
ISSN: 1356-5362

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Article
Publication date: 28 June 2019

Shuo-Fang Liu, Yuan-Chin Hsu and Hung-Cheng Tsai

Belief in Mazu has a crucial cultural status in Taiwan and the coastal area of Fujian, China. The design and manufacture of apparel and accessories to be placed on statues of the…

347

Abstract

Purpose

Belief in Mazu has a crucial cultural status in Taiwan and the coastal area of Fujian, China. The design and manufacture of apparel and accessories to be placed on statues of the deity are also considered a sacred and critical part of the religion’s cultural and artistic inheritance. The crown hat of Mazu is one of the most essential elements of the deity’s apparel. The paper aims to discuss these issues.

Design/methodology/approach

This study explored the styles of Mazu crown hats using Kansei engineering (KE). People generally use adjectives words to provide aesthetic evaluations. Fuzzy theory is suitable for processing linguistic problems that include vagueness, thereby providing a reasonable method of quantifying such aesthetic evaluations. Therefore, this study first established a fuzzy positioning model (FPM) of word evaluations for analysis. Factor analysis was used to obtain representative image adjectives that represented Mazu’s image. Fuzzy analysis methods were then employed to rank the various image adjectives through evaluation words and to determine the differences between adjectives. Finally, on the basis of image analysis results and expert suggestions, the crown hat was redesigned and its suitability verified.

Findings

Four results were obtained. First, four image adjectives appropriate for representing Mazu’s image were identified, of which “noble and kind” is the most suitable. Second, fuzzy analysis was found to successfully rank style images. Third, the crown hat style and design characteristics suitable for Mazu were acquired. Fourth, the verification demonstrated that the redesign effectively enhanced the perceived image of the crown hat design.

Originality/value

This study employed KE to improve the design of a Mazu crown hat. The proposed FPM can aid the development of cultural and creative design.

Details

International Journal of Clothing Science and Technology, vol. 31 no. 5
Type: Research Article
ISSN: 0955-6222

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