Computational Batik Motif Generation--论文代写范文精选

通过使用r基因率基本模式,可以解释和蜡染图案画。E试验发现的是实现蜡染图案的方式。然而,人类制造蜡染图案不太详细,人类的计算机交互相关的生产力和创新取得了很多进步。下面的paper代写范文探讨了这一问题。

Abstract   
  Human‐computer inte raction has been the cause of the eme rging innovations in many fields, including in design and art, architectural, technological a rtifacts, and even traditiona l heritage.  In the case of Indonesian traditional he ritages, the computation of fractal designs has been introduced to develop batik design – the genuine textile art and skill that becomes a symbol of Indonesian culture. The uniqueness of Batik, which depicted in the richness of its motifs, is regarded as one of inte resting aspect to be researched and innovated using computational techniques. Recent studies of batik motifs have discovered conjecture to the existence of fractal geome try in batik designs. This finding has given some inspiration of implementing certain f ractal concepts, such esca pe‐time fracta l (complex plane)   a nd iterated function system to gene rate batik motifs.   We develop motif gene rator based upon the Collage Theorem by using Java TM platform. This sof tware is equipped by interface tha t can be used by use r to gene rate basic patterns, which could be interpreted and painted as batik motif. E xperimentally, we found that computationally genera ted f ractal motifs are appropriated to be implemented as batik motif.  However, human made batik motifs are less detail and some of them diffe r significantly with the computationally generated ones for tools used to draw batik and human aesthetic constraints.    
Keywords: batik, fractal, motif gene rator, human computer inte raction

 Introduction   
  Human‐computer interaction related to productivity and innovation has yielded a lot of discussions and impacts in improving a lot of progress in the development of user‐friendly software (Zhapiris & Ang, 2009).  However, our age has witnessed that computational technology has changed a lot more than we might like to imagine (Asaolu, 2006), be it culture (Edward, 1994), economy (Vaaler & McKnight, 2000), politics (Friedman, 2005), and even changed the way we see ourselves, and the social life surrounding us (Kraemer, et al, 1995). A lot of theoretical discoveries in science and technology nowadays are easily conveyed and thus implemented   to cope with some problems or simply just boost our living performance. Batik is a famous and unique traditional heritage from Indonesia.    

  Its uniqueness comes from its production process – which known as “mbatik”, its motifs, and its values. Since cultural and art product could become an economic product (Heilbrun & Gray, 2004), as artistic and unique fabric product, batik could be a very valuable product economically, even in the modern era like today. However, besides as a economic product, batik is considered having an astonished characteristic on its motifs. Batik motifs and ornamentation, which is born and constructed from cognitive process of human being when she drawn her surrounding nature, is found to have a very interesting complexity degree. This feature is regarded as one of interesting aspect to be researched and innovated using science and technology.   Recent development in science and technology has made simulation growing natural process in silico becomes possible. It is also possible to generate Batik motifs and ornamentation – which found has a fractal property in its complex geometry – computationally. Situngkir (2008) have been classified innovation types of batik motifs and found that batik motif could growth computationally by incorporating fractal generation algorithm, such as iterated functionsystem, complexplane, etc.      

  In order to design, evaluate, and implement computational systems for batik motifs generation, the algorithms mention above have been implemented in  Java TM platform. This software is constructed to explore possibilities on batik motifs generation, and to evaluate the implementation of these motifs in mbatik process.   

The interaction of this computing platform with users in generating new batik motif is conducted in form of workshop involving nine senior high school students. Interestingly, we have found that students could be easily perceived whether computationally generative motif resulted by fractal‐ generating software is appropriate batik motif or not. The emergence patterns of batik design also have found when these motifs are painted to fabric material by using traditional batik process. The paper reports the evaluation ofthe workshop.  

 The Implementation of Computational Motif Generation on Batik Process 
  Iterated Function System based upon Collage Theorem, proposed by Michael Barnsley (1988) is proposed as one concept to analyze the fractal properties of Batik motif. The algorithm base upon concept in which one of a fewsimple rules isselectedat random and applied to a dot, to yield a new dots iteratively,as it has been implemented as motif generator  (Situngkir, 2009). However, the implementation of the generated motif as the source for batik design is considered as a new field, and thus should be tested and developed further to provide the appropriate computer system design, methods, and tools for mbatik process.    In order to evaluate the usage of computational system, i.e. the algorithmand the software, to be implementedas batik, we deployed the interaction scheme of the computer system with human practice in traditional batik process (figure 2).   The interaction scheme as we can see in figure 2 is conducted in a workshop involving nine senior highschool students that act as software user and batik painter as well.  (paper代写)

 Concluding remarks 
  The computer technique to support the innovation of traditional batik is considered as a new field, and it becomes possible when we use computer as generator motifs which constructed by using certain fractal generating algorithms. The interaction between generation process of motif using computer and the traditional technique of batik has been emerging many kind of innovative and unique batik design.  Certainly, computer techniques have opened many possibilities to support the innovation of the traditional heritage, such as Indonesian batik, while still holds the unique characteristics and feature of batik itself. Generative motifs that generated by generating fractal algorithms need certainselection mechanism to determine whether the motifs is classified as an appropriate batik motifs or not.  

  In our workshop, the participant could be easily interpreted most of generative motif as an appropriate batik motifs and then paint it using batik techniques. Human cognitive process and the cultural background of participant are considered have been playing an important role to influence such selection. However, it need a further analysis to answer such question ,i.e. about the mechanism in the human cognitive level as well as its cultural and anthropological aspects of participants to determine how certain motifs is perceived as “a beautiful” motifs.  (paper代写)

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