• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.3
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• pp.69-81
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• 2014

Herman $F{\ddot{u}}rst\;P{\ddot{u}}ckler-Muskau$ is one of important figures in German landscape architecture who designed both Muskau Park and Branitz Park and published garden book Andeutungen ${\ddot{u}}ber$ Landschaftgartenerei (Hints on Landscape Gardening) in 1834. He was a German nobleman who governed Muskau estates while working as both a writer and a landscape gardener. German landscape gardening was grounded on Romanticism, which was represented in diverse ways such as the reconciliation between man and nature, the liberation of reason, and the pursuit of liberty. The intellectuals came to have an interest on landscape gardening since the garden carried the cultural connotation such as the idealized epitome of nature. This study is to investigate how his idea of landscape gardening had been developed through his personal life and social background and to find out his landscape gardening theory and its unique gardening techniques. Finally, the inventive aspect of his garden theory and contemporary significances in practices were discussed. $P{\ddot{u}}cklers^{\prime}$ personal experience and social background provide us to understand the idea of garden. First, there was a mixture between reality and fantasy in his garden theory. It was due to the influence of Romanticism and literary garden. Second, his gardening mentality and technique were influenced by the late 18th century English garden practices, which emphasized the expressive aspects. Third, $P{\ddot{u}}cklers^{\prime}$ inner disposition and personal experience were represented in his garden design. Fourth, the intention of creating landscape garden for the local people might be a self realization of his contradictory characters between falling nobleman and liberal social leader. The significant value of $P{\ddot{u}}ckler^{\prime}s$ garden idea might be closely related in the dual nature of humanistic garden tradition and garden practice for social agenda. Therefore, his garden idea pursued of the comprehensive landscape strategies toward ideal communities and ethical spirits while concerning ecological, social, economic sustainable development of the region. Furthermore, his landscape gardening aims at the total landscape encompassing garden to region as well as the Gesamtkunst combing the beautiful with the useful. $P{\ddot{u}}ckler^{\prime}s$ holistic attitude gives us fresh insights and new directions to contemporary landscape theory and practice.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.109-125
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• 2019

As interest on intelligent search engines increases, various studies have been conducted to extract and utilize the features related to products intelligencely. In particular, when users search for goods in e-commerce search engines, the 'color' of a product is an important feature that describes the product. Therefore, it is necessary to deal with the synonyms of color terms in order to produce accurate results to user's color-related queries. Previous studies have suggested dictionary-based approach to process synonyms for color features. However, the dictionary-based approach has a limitation that it cannot handle unregistered color-related terms in user queries. In order to overcome the limitation of the conventional methods, this research proposes a model which extracts RGB values from an internet search engine in real time, and outputs similar color names based on designated color information. At first, a color term dictionary was constructed which includes color names and R, G, B values of each color from Korean color standard digital palette program and the Wikipedia color list for the basic color search. The dictionary has been made more robust by adding 138 color names converted from English color names to foreign words in Korean, and with corresponding RGB values. Therefore, the fininal color dictionary includes a total of 671 color names and corresponding RGB values. The method proposed in this research starts by searching for a specific color which a user searched for. Then, the presence of the searched color in the built-in color dictionary is checked. If there exists the color in the dictionary, the RGB values of the color in the dictioanry are used as reference values of the retrieved color. If the searched color does not exist in the dictionary, the top-5 Google image search results of the searched color are crawled and average RGB values are extracted in certain middle area of each image. To extract the RGB values in images, a variety of different ways was attempted since there are limits to simply obtain the average of the RGB values of the center area of images. As a result, clustering RGB values in image's certain area and making average value of the cluster with the highest density as the reference values showed the best performance. Based on the reference RGB values of the searched color, the RGB values of all the colors in the color dictionary constructed aforetime are compared. Then a color list is created with colors within the range of ${\pm}50$ for each R value, G value, and B value. Finally, using the Euclidean distance between the above results and the reference RGB values of the searched color, the color with the highest similarity from up to five colors becomes the final outcome. In order to evaluate the usefulness of the proposed method, we performed an experiment. In the experiment, 300 color names and corresponding color RGB values by the questionnaires were obtained. They are used to compare the RGB values obtained from four different methods including the proposed method. The average euclidean distance of CIE-Lab using our method was about 13.85, which showed a relatively low distance compared to 3088 for the case using synonym dictionary only and 30.38 for the case using the dictionary with Korean synonym website WordNet. The case which didn't use clustering method of the proposed method showed 13.88 of average euclidean distance, which implies the DBSCAN clustering of the proposed method can reduce the Euclidean distance. This research suggests a new color synonym processing method based on RGB values that combines the dictionary method with the real time synonym processing method for new color names. This method enables to get rid of the limit of the dictionary-based approach which is a conventional synonym processing method. This research can contribute to improve the intelligence of e-commerce search systems especially on the color searching feature.