• Archives of design research
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• v.11
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• pp.130-139
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• 1995

The dictionary defines the word 'Design' as planning and designing. Though this is a meaning confined to decorative function, the conception of modern design in this capitalist society of mass production and mass consumption can be said to have reached a new stage of the meeting of industry and the arts. This means the two sides of design' the side of beauty and usefulness The side of beauty should be understood in view of the sense of beauty, and usefulness should also be considered from the viewpoint of consumer's taste and preference This is thought to be the natural problems of design The origin of design can be understood from the background of capitalism. But the capitalism can be said to be the mode of Western thought and action developed based on Western thinking. The capitalism is an economic system derived from the society of industrial capitalism through commercial capitalism. but this economic thinking has been resulted from a mature social system of democracy and civic society. The civic society and democracy are derived from polis of ancient Greece and Rome. and the ancient Greek and Roman society was a society developed from the social system of the nobility and slaves. Polis continued to develop based on the positive territorial expansionism centering around the Mediterranean on the basis of Hellenism. and European countries achieved the intergration of religion. society and politics based on this. thus accomplishing the spirit of capitalism Our design is believed to have been derived from the direct import of Western capitalism. Accordingly. as the original form of Western capitalism has become our economic system. so our design copied that of th West. And our traditional culture and sensitivity which are different in the original form and root of racial disposition seem to breed discord between them. It is. therefore. very important and meaningful for us to exert all possible efforts to seek the root of our disposition and tradition and grope for the appropriate thought and style of design.

• (The) Research of the performance art and culture
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• no.33
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• pp.243-271
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• 2016

When an aggressive war reached at the climax in 1940, a commemorative event called celebration' was held on a large scale in Japan for 'beginning former 2,600 years. It was performed for the policy that was going to break off the fatigue that was tired for nation dissatisfaction and war for the politics. I considered Urayasu-no-mai Dance played as part of a celebration event in a Shinto shrine of the all over Japan how was created and spread by this article Urayasu-no-mai Dance was created newly and was played in Shinto shrines of the whole country. The Urayasu-no-mai Dance was created based on Gagaku and Miko Mai (shrine maiden's dance) that has been read aloud not to go out of the ancient times. It was created in the situation of the war and spread and was spread. It will be said that Urayasu Dance is a typical example of 'forged traditional'. Urayasu Dance is a tradition made at modern time and remains for an unfortunate inheritance used again by the advertising tool of the national ideology. The Urayasu-no-mai Dance is expanded more now, without enough consideration about the historic procession other words, It played under a strong-arm society atmosphere is placed as new folk performing arts all too soon. In the complicated world situation at the time, Urayasu-no-mai Dance that emphasized a Japanese tradition for the inside and outside were spread. Urayasu-no-mai Dance created in modern times substitutes a traditional shaman dance, and there is even the tendency that ritual performing arts peculiar to each local Shinto shrine is unified to Urayasu-no-mai Dance. Such a movement shows a new aspect of the culture power that social turning to the right in Japan is not unrelated to becoming it. It is a traditional reinvention, or do you forge the tradition? I examined a process of a process and the spread of traditional creation produced consistently.

• 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.