• Cartoon and Animation Studies
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• s.25
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• pp.177-201
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• 2011

This article intends to draw the Road map of Korean International Animation Festival through the research of background and its identity of 4 International Animation Film Festivals Such as Annecy, Zagreb, Ottawa and Hiroshima. I was given opportunity to visit Annecy since 2009, it brought me to the real attraction of animation for watching of pleasure and passion of the people those who love animations. For the combining more advanced system and structure for Animation Festival in Korea, I had to do research all the information from the documents from the Annecy Collections. though I have not get the chance to go others except Annecy, However, I could get their background and history whenever I met the other Festival Committee Members. These Festivals showed us successful Road Map for the Animation Festivals in Korea as a role model. For the getting advanced system of Animation Festivals in Korea. It requires the animation theater for animation, effort for the Audiences's Convenience and international network composition system. However, the last task of us is to make people to entertain and enjoy the animation Films, its world of attraction.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.37 no.2
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• pp.30-39
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• 2019

In this study, 27 representative plants with symbolism and appreciation were extracted from 68 plants collected in Li Yu (1611-1680)'s monograph named 'Xianqingouji Zhongzhibu'. The interpretations were as follows. First, symbolism of plants could be summarized as 1) Li Yu thought that Paeonia suffruticosa was called 'the king of flowers', not only because of its beauty, but also because of its upright character. The only flower that could compete against Paeonia suffruticosa was Paeonia lactiflora Pall.. This flower was called 'the flower prime minister' by common people. But Li Yu thought that Paeonia lactiflora Pall. should also be included in the feudal princes. 2) Prunus persica and Camellia japonica were compared to 'beautiful cheeks', and Malus spectabilis (Ait.)Borkh, Jasminum sambac, Rosa multiflora var. platyphylla, Narcissus tazetta, Papaver rhoeas were compared to 'beautiful women', expressing his love for flowers. 3) Li Yu called Nelumbo nucifera a 'gentleman in flowers' and Buxus sinica Rehd. et Wils. Cheng a 'gentleman in trees'. On the contrary, Daphne odora was compared to 'villain in flowers'. 4) Ilex integra was compared to a hermit, and Campsis grandiflora was compared to an immortal. Second, appreciation of plants could be organized by 1) Appreciation of plants required assistive tools. When going to suburb to enjoy the scenery, tents needed to be prepared. Paper screens should be used to appreciate Prunus mume in the courtyard so as to gain more elegant. Li Yu also proposed that ornamental objects should be properly placed near Orchidaceae so as to gain more elegant. 2）Li Yu took Lagerstroemia indica and Prunus armeniaca L. as examples to interpret that plants were as perceptive as animals and human beings. 3) Li Yu took Salix pierotii and Albizia julibrissin as examples to interpret that people should communicate with plants through five senses to produce resonance. And took Nelumbo nucifera and Rosa rugosa to emphasize the ornamental and practical value of plants. 4) Plants were metaphored sth. similar to them. An interesting example was Celosia cristata L. which was more like an auspicious cloud in the sky than the crest on the cock's head. To sum up, Li Yu personified plants and thought that people should communicate with plants by multi-sensory world when appreciating plants. Through this, it fully showed his love for plants. Meanwhile, Li Yu's symbolism and appreciation of plants, to some extent, reflected the elegant life of literati in the early Qing Dynasty.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.70-82
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• 2023

The recent surge of IT and data acquisition is shifting the paradigm in all aspects of life, and these advances are also affecting academic fields. Research topics and methods are being improved through academic exchange and connections. In particular, data-based research methods are employed in various academic fields, including landscape architecture, where continuous research is needed. Therefore, this study aims to investigate the possibility of developing a landscape preference evaluation and prediction model using machine learning, a branch of Artificial Intelligence, reflecting the current situation. To achieve the goal of this study, machine learning techniques were applied to the landscaping field to build a landscape preference evaluation and prediction model to verify the simulation accuracy of the model. For this, wind power facility landscape images, recently attracting attention as a renewable energy source, were selected as the research objects. For analysis, images of the wind power facility landscapes were collected using web crawling techniques, and an analysis dataset was built. Orange version 3.33, a program from the University of Ljubljana was used for machine learning analysis to derive a prediction model with excellent performance. IA model that integrates the evaluation criteria of machine learning and a separate model structure for the evaluation criteria were used to generate a model using kNN, SVM, Random Forest, Logistic Regression, and Neural Network algorithms suitable for machine learning classification models. The performance evaluation of the generated models was conducted to derive the most suitable prediction model. The prediction model derived in this study separately evaluates three evaluation criteria, including classification by type of landscape, classification by distance between landscape and target, and classification by preference, and then synthesizes and predicts results. As a result of the study, a prediction model with a high accuracy of 0.986 for the evaluation criterion according to the type of landscape, 0.973 for the evaluation criterion according to the distance, and 0.952 for the evaluation criterion according to the preference was developed, and it can be seen that the verification process through the evaluation of data prediction results exceeds the required performance value of the model. As an experimental attempt to investigate the possibility of developing a prediction model using machine learning in landscape-related research, this study was able to confirm the possibility of creating a high-performance prediction model by building a data set through the collection and refinement of image data and subsequently utilizing it in landscape-related research fields. Based on the results, implications, and limitations of this study, it is believed that it is possible to develop various types of landscape prediction models, including wind power facility natural, and cultural landscapes. Machine learning techniques can be more useful and valuable in the field of landscape architecture by exploring and applying research methods appropriate to the topic, reducing the time of data classification through the study of a model that classifies images according to landscape types or analyzing the importance of landscape planning factors through the analysis of landscape prediction factors using machine learning.