Constant-pattern design method for displacement chromatography

2021 ◽  
pp. 462482
Author(s):  
Yi Ding ◽  
Nien-Hwa Linda Wang
Author(s):  
Seon-Ju Kam ◽  
Young-Sun Yoo

Patients’ emotional responses to the hospital environment can be considered as important as medical technology and equipment. Therefore, this study investigated their experiences to determine whether the pattern using hospital identity (HI) elements, a widely used design method for patient clothing in university hospitals, can affect their emotional response and contribute to healing. It aimed to identify whether controlling the motif characteristics, arrangement, and spacing in this pattern design, and the direction between motifs, could be a method to design patient clothing for healing. To investigate patients’ emotional response and suggestions for patient clothing design, an interview-based qualitative approach was used. In-depth interviews were conducted with 12 patients discharged from Kyung Hee University Hospital Medical Center (KHUMC), Seoul. The interview questions consisted of two parts. One part featured questions about participants’ emotional responses to the medical environment and their latest patient clothing experience, and the other featured questions about their emotional response to, and suggestions for, the healing expression of pattern design using HI. The results confirmed that the motif characteristics, arrangement, and spacing, and the direction between motifs, influenced patients’ positive emotions and contributed to the healing effect. Therefore, when the HI elements of a medical institution are applied in the design of patient clothing with the characteristics of a healing design, patients perceive this as providing stability and comfort. The design of patient clothing becomes a medium that not only builds the brand image of medical institutions, but also enhances the quality of medical services centered on patient healing.


2011 ◽  
Vol 332-334 ◽  
pp. 1395-1399
Author(s):  
Guo Fang Shi ◽  
Sen Lin Zhang

A design method and primary functions of pattern preparation system of computerized flat knitting machine are introduced. The system provides a formidable mapping system based on object-oriented and multi-document, so pattern becomes simple and flexible to be edited and displayed. In addition, the compiler has a novel method of compiling pattern data. Two pattern description files (PAT and CNT) are generated after compiled, which include all control information that computerized flat knitting machine needs. The system also provides a direct and friendly interface, through which user can accomplish pattern design quickly and conveniently.


Author(s):  
Wei Li ◽  
Daniel A. McAdams

As the advantages of foldable or deployable structures are being discovered, research into origami engineering has attracted more focus from both artists and engineers. With the aid of modern computer techniques, some computational origami design methods have been developed. Most of these methods focus on the problem of origami crease pattern design — the problem of determining a crease pattern to realize a specified origami final shape, but don’t provide computational solutions to actually developing a shape that meets some design performance criteria. This paper presents a design method that includes the computational design of the finished shape as well as the crease pattern. The origami shape will be designed to satisfy geometric, functional, and foldability requirements. This design method is named computational evolutionary embryogeny for optimal origami design (CEEFOOD), which is an extension of the genetic algorithm (GA) and an original computational evolutionary embryogeny (CEE). Unlike existing origami crease pattern design methods that adopt deductive logic, CEEFOOD implements an abductive approach to progressively evolve an optimal design. This paper presents how CEEFOOD — as a member of the GA family — determines the genetic representation (genotype) of candidate solutions, the formulation of the objective function, and the design of evolutionary operators. This paper gives an origami design problem, which has requirements on the folded-state profile, position of center of mass, and number of creases. Several solutions derived by CEEFOOD are listed and compared to highlight the effectiveness of this abductive design method.


2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiahsu Lin ◽  
Ya-Ching Wang

Purpose The purpose of this paper is to construct the best combination of fabric printing pattern’s attributes to obtain the optimum design to meet the markets need. Design/methodology/approach This study reviewed the morphological analysis of fashion design expert groups regarding the fashionable fabric printing patterns, as well as the attribute preferences for different groups of fabric printing patterns through focus group discussions. In addition, the conjoint analysis was used to calculate the part-worth of these patterns’ design attributes and design levels to obtain the optimum design for fabric printing patterns. Findings The results of this study showed that the most importance of fabric attributes is the secondary pattern (32.59 percent), while the weights of shading element (24.80 percent) and primary pattern (24.46 percent) are almost the same. This study found that a wide range of intertwining image primary pattern can be applied to create interesting and popular fabric printing pattern designs. In practical applications of this result, when the primary pattern is supported by the buyer, fabric designers may use New Classic composite plants, with simple shading and different cycling configuration, to reproduce the optimum designs of the fabric printing patterns. Originality/value This proposed a novel solution to figure out the combination basis for optimizing fabric printing pattern designs. In addition, this result helps fabric printing pattern designers to establish an optimal design method for a specific brand to create a unique printing pattern design.


2020 ◽  
Vol 19 (6) ◽  
pp. 73-88
Author(s):  
Min Gyeong Kim ◽  
Tae Yeol Park ◽  
Gyung Yeon Koo ◽  
Seong Won Jeong

2020 ◽  
Vol 128 ◽  
pp. 102911
Author(s):  
Yinghan Jin ◽  
Wanting Feng ◽  
Long Zeng ◽  
Dongliang Zhang
Keyword(s):  

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