• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.821-827
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• 2024

Generative AI is creating new business methodologies across various industries. By generating code values through ChatGPT prompting and using Rhino Python Script, 3D modeling can be performed in Rhino. This research began with an interest in a new process where a workflow initiated in natural language culminates in 3D modeling. The aim of the research is to establish an efficiency-based modeling method through automation in Rhino 3D, and for this purpose, studies on Rhino Python research and the modification and extension of modules were conducted. The research results confirmed that utilizing generative AI can enhance production productivity and improve user accessibility to 3D modeling. Standardization through Rhino Python Script increased work efficiency in terms of modification and extension. Furthermore, the necessary conditions for optimal 3D design were identified as clear prompting and the incorporation of feedback from AI. Through this research, it is hoped that generative AI will assist in creativity based on efficiency in jewelry 3D modeling.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.3
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• pp.145-150
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• 2019

We develop the system realization of whale sound reconstruction by inverse MFCC algorithm with the weighted L2-norm minimization techniques. The output products from this research will contribute to the whale tourism and multimedia content industry by combining whale sound contents with the prototype of 3D printing. First of all, we develop the softwares for generating whale sounds and install them into Raspberry Pi hardware and fasten them inside a 3D printed whale. The languages used in the development of this system are the C++ for whale-sounding classification, MATLAB and Python for whale-sounding playback algorithm, and Rhino 6 for 3D printing.

• CELLMED
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• v.13 no.2
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• pp.3.1-3.21
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• 2023

In this study, the drinking culture of the Choseon dynasty is examined with the text frequency analysis technique on the entire 『Choseonwangjosilok (朝鮮王朝實錄)』. This study examined a total of 1,968 volumes and 948 books about 27 kings of Choseon , which spans a total of 518 years, through web crawling on the National Institute of Korean History website. Python 3.8 was used to extract sentences related to alcohol, Rhino 1.4.5 was used for morphological analysis to extract nouns, and Gephi 0.9.2 was used for semantic network analysis. According to 『Choseonwangjosilok (朝鮮王朝實錄)』 about alcohol culture, the results of the analysis are as follow: Alcoholic beverages were more often used in court or in ritual ceremonies rather than those based on specific ingredients or manufacturing methods commonly used by the general public. regarding the ruling class through semantic network analysis l in the 『Choseonwangjosilok (朝鮮王朝實錄)』, the Choseon dynasty was found to be highly associated with political issues related to maintaining the power relations within the Korean royal court system. At times, alcohol was used to maintain personal relationships, while at other times it was seen as an essential item in state ceremonies. It was also used as a highly political means to maintain and strengthen national power.