The purpose of this study is to analyze the characteristics and symbolism of peony, the traditional noble flower, create knit fashion designer applying the aesthetic beauty of flower, and suggest the various possibility of developing knit fashion design. As for the study method, the study conducted review on literature and previous studies to investigate on history, characteristics, symbolism of peony, and examined various expressive technique through previous studies about fashion design using flower images. To express characteristics of peony in three dimensions, the study investigated and reflected on crochet expressive technique to design 4 women’s knitwear. The results are as below. First, as shape of peony is big, voluminous, fancy and noble, it symbolizes wealth and beauty. Including red which is the generally known color of peony, there are yellow, white, pink, purple, green, blue, black, gray, white purple, white color. This study reflected characteristics and symbolism of peony and created knit fashion design applying abundant aesthetic characteristics of flower. Second, crochet method is advantageous as it is operable with thread and hooked crochet hook without time and space restriction, it can create unique fashion design. Crochet knitting on hand knit can diversity changes to express relief textures, and as there is no limit in size, it can be applied to small props to big pieces. This study suggested the various possibility of knit fashion design development and various expressive possibility on modern fashion design.

The purpose of this study is to create knit ruffles that represent the aesthetic and artistic values of painted works of art that rhythmically express flower petals and add an artistic impression on the knit ruffle designs. This study is based on the artistic life of Georgia O’Keeffe and changes in her artistic background, and the world of paintings. The relevant data was gathered from domestic and foreign references, academic journals, and the internet. The characteristics of Georgia O’Keeffe paintings were examined. Her paintings typically include a series of various motifs, symmetry, balance, and harmony of detailed realistic expressions and abstract elements, repetition, and the principles of contrast and emphasis in shaping. The decoration techniques used on fabrics were applied using the knitting machine which controls the tension to develop a variety of textures, apart from the previous standardized knit textures, through various knitting techniques. A gradation effect was then applied by piece-dyeing the knitted materials in various colors to express asimilarity to the original colors in O’Keeffe’s works with delicate color expressions. After the piece-dyeing, the decorative knitted materials were trimmed on a model to re-create the natural curves of flower petals. This study aims to converge works of art with fashion designs to develop various creative knitted fashion and to impart an artistic sense in the fashion design industry.

This study analyzed the design elements and fashion images of women's knitwear in collections of Paris, Milan, London and New York between 2003 and 2008, and examined knitwear trends in an effort to verify whether knitwear trends are repeated in certain cycles, whether they show complicated patterns in cycles and yet occur in quasi cycles, or whether they occur non-periodically in complicated forms of chaotic cycles. Trend cycle analysis results are deemed to identify the time series attribute of knit fashions. It also sought to categorize the attribute of various factors influencing knitwear trends with a view to determining relevancy between design elements, and to present the direction of predicting knitwear fashion trends and the progression of short-term knitwear trends. This study reached the following conclusion. According to design elements or fashion images, knitwear fashion trends occur in cycles, quasi cycles, non-periodical cycles. These cyclic characteristics can be used as scientific data for planning knitwear products. The study confirmed close relevancy between fashion images and fashion elements. It identified close relevancy between designs with similar fashion elements and images through coordinates by year and season, and it is possible to make short-term prediction of trend direction through the flow of coordinates. Time series data were insufficient, thereby making it difficult to perfectly verify chaos indices and giving limitations to this study. A study with more time series data will produce a more effective method of predicting and using knitwear fashion trends.