• Journal of Fashion Business
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• v.25 no.4
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• pp.61-78
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• 2021

Gianni Versace is one of the most influential Italian designers between the 1980s and 1990s and a representative person to add sexiness and splendour to Italian fashion. This study aimed to analyze the design identity that resulted in the successful handover to Donatella Versace and to review how effectively differentiated and unique heritage elements of Versace were transferred and operated. Literature reviews were performed to find Gianni Versace's design identity and archive. The scope of this study was Donatella's collection from 2018 to 2020. In particular, Signature, the most remarkable design identity of luxury brands with a visual identity that includes the mark, logo and symbol and design elements such as the item, colour, materials, details, etc., were the special focus. In this study, the elements of the visual identity of the signature were classified with the logo, icon, silhouette, materials, patterns, colours, and changes in details that were applied with the uniqueness and philosophy of the differentiated brand. Donatella Versace empathized with Versace's heritage as the brand heritage recalling Versace's honour in the 1990s and reproduced his honour again by reinterpretation of Versace's design images. Donatella is considered an excellent creative director who leads the brand by keeping the heritage and applying the trends of the times. This study as a case study of Versace has the meaning that Versace has maintained the brand identity starting from Gianni Versace as the first generation and successful takeover after the change of directors upon recreation to meet the modern times.

• ETRI Journal
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• v.43 no.5
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• pp.835-855
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• 2021

With the recent increase in data disclosure, the Comprehensive Knowledge Archive Network (CKAN), which is an open-source data distribution platform, is drawing much attention. CKAN is used together with additional extensions, such as Datastore and Datapusher for data management and Harvest and DCAT for data collection. This study derives the problems of CKAN itself and Harvest Extension. First, CKAN causes two problems of data inconsistency and storage space waste for data deletion. Second, Harvest Extension causes three additional problems, namely source deletion that deletes only sources without deleting data themselves, job stop that cannot delete job during data collection, and service interruption that cannot provide service, even if data exist. Based on these observations, we propose herein an improved CKAN that provides a new deletion function solving data inconsistency and storage space waste problems. In addition, we present an improved Harvest Extension solving three problems of the legacy Harvest Extension. We verify the correctness and the usefulness of the improved CKAN and Harvest Extension functions through actual implementation and extensive experiments.

• Korean Journal of Computational Design and Engineering
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• v.12 no.1
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• pp.15-26
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• 2007

We have developed a method that enables a user to better understand and enjoy the contents of 3D digital archives, thereby enhancing the user's experience. The system's interactive interface, built using virtual reality technology, enables the user to "walk through" the archives, comparing two or the same content at different points in time. For example, a user can compare the proposed design for a building with the actual building and can compare the states of restoration of a cultural heritage site over time. This ability to perform multilateral comparisons enables the user to clarify the relationship between contents, the influence of one content on another, and the causal relationship between contents. Testing of a prototype system for a 3D digital archive of cultural heritage sites showed that it worked smoothly and that the users could easily operate the navigation system.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.1-10
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• 2014

Recently, the value and the status of the digital archives that are built individually in the crossroads of oblivion and memory are due to big data has attracted attention globally is confusing. Video data that contains the cultural memory of the digital archive, such as culture, art, life, society, and social conditions of the time, it is a cultural heritage of national common expressed. Also, it remains a trace of history from the various media just like magazines, books, painting, photography, and film. Digital archive system is one of the best research results of media convergence and it has also a good opportunity to take full advantage of the new opportunities and cultural assets. The collection of infinite information of big data in perspective transient that exist at the same time compatibility of big data, it is trying to dismantle the cultural memory of us. It was asserted that must meet the criteria which can correspond to via the new digital era, will be applied to preserve the traditional media. The current image archive is necessary to accommodate proper two different directions.

• Korean Journal of Weed Science
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• v.31 no.2
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• pp.205-211
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• 2011

• Weed & Turfgrass Science
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• v.7 no.3
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• pp.283-283
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• 2018

• Korean Journal of Weed Science
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• v.12 no.1
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• pp.86-87
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• 1992

• Korean Journal of Weed Science
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• v.30 no.4
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• pp.460-467
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• 2010

• Korean Journal of Weed Science
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• v.10 no.2
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• pp.153-158
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• 1990

• Korean Journal of Weed Science
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• v.5 no.1
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• pp.7-8
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• 1985