• Journal of architectural history
• /
• v.14 no.4 s.44
• /
• pp.157-175
• /
• 2005

Guarino Guarini(1624-1683) is one of great Baroque architects who developed new spatial concept in architecture. He refused to static space typically appeared in Renaissance architecture. Instead, to make it possible to generate complicate form and moving space, he made use of generative diagram. It provide him with an abstract machine to generate automatically architectural inferiority. His generative diagram consists of three types: single circle diagram, matrix diagram and longitudinal diagram. The first diagram uses single circle as primary generator and develop this by means of overlap and equiangular division. La Cappella della Santissima Sindone, Sanctuary of Chiesa di Oropa, Chiesa dei Padri Somaschi, San Gaetano are designed according to this diagram. The generator of the second diagram is nine circles in $3{\times}3$ matrix, which provide the base for the interpenetration of space in Guarini's architecture. He inspired this diagram from Kepler's $\ulcorner$Harmonices mundi$\lrcorner$. The Churches of San Lorenzo, Ste-Anne-la-Royale, San Filippo Neri, San Gaetano are generated by this diagram. The third diagram has several circles in Lantin-cross plan. Guarini adopted this diagram because he had chances to design several churches in Northern Europe. The churches of Santa Maria di Ettinga, Immacolata Concezione, San Maria della Divina Providenza, Church without Name, San Filippo Neri are representative examples for this diagram.

• Korean Institute of Interior Design Journal
• /
• v.20 no.1
• /
• pp.89-97
• /
• 2011

Furniture design is no exception to human desire for pursuit of the nature. In various design fields, it has turned out nature-decorative method in the past, and also recently it has turned out bio-adaptive method which is more root design process using principal of generation in nature world. The purpose of this study is to analyze application methods and characteristics of fractal geometry and voronoi diagram which are most representative principals of generative design in nature by research on the example of furniture design using these principals. The results of having analyzed fumitures by generative design can be summarized as follows; design principals of fractal; superposition, scaling, repetition & gradation, deformation, distortion and voronoi diagram; individual speciation, variational patten, repetition gradation, ambiguous boundary create new design concept and emergent form in furniture design. Application methods are 'form emergence by algorithm', 'conventional process based on principals of generative design', and 'reproduction of pattern from generative design'. Biological reinterpretations and new explorations of principals of nature generation offer unbounded possibilities for furniture design.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.34 no.2 s.115
• /
• pp.99-112
• /
• 2006

In contemporary design conditions, the focus of landscape architecture has shifted from 'form' to 'process.' Various experimental diagrams have been proposed to overcome the limitations of conventional form-oriented landscape design. This study aims to reconsider theoretically and critically the modes and mechanism of diagrams in recent landscape architectural design. It also explores the operational capabilities of diagram in design process. Although the traditional diagram has served as explanatory and representational graphics in design, contemporary designers emphasize the generative function of diagram on the basis of Gilles Deleuze's theory of 'diagram as abstract machine.' They manifest and practise that diagrams call generate forms and proliferate spaces in their design development. This paper examines current examples of generative and constructive diagrams produced by leading designers. However, the author illuminates another significance of diagram: the diagram as strategic media of design. Contemporary environments and conditions of design, such as the complexity of city and the interactivity of new economy, call for new design intelligence and strategic design. These situations require alternative media in design process. In this context, the diagram can function as strategic media of dynamic and flexible design. This is why contemporary landscape theory and practice have to give attention to diagrams.

• Information Systems Review
• /
• v.25 no.2
• /
• pp.125-144
• /
• 2023

Generative Artificial Intelligence (AI) technology is gaining global attention as it can automatically generate sentences, images, and voices that humans previously generated. In particular, ChatGPT, a representative generative AI service, shows proactivity and accuracy differentiated from existing chatbot services, and the number of users is rapidly increasing in a short period of time. Despite this growing interest in generative AI services, most preceding studies are still in their infancy. Therefore, this study utilized LDA topic modeling and keyword network diagrams to derive success factors for generative AI services and to propose successful business strategies based on them. In addition, using ChatGPT, a new research methodology that complements the existing text-mining method, was presented. This study overcomes the limitations of previous research that relied on qualitative methods and makes academic and practical contributions to the future development of generative AI services.

• International journal of advanced smart convergence
• /
• v.13 no.1
• /
• pp.85-91
• /
• 2024

Currently, generative artificial intelligence is a hot topic around the world. Generative artificial intelligence creates various images, art, video clips, advertisements, etc. The problem is that it is very difficult to verify the internal work of artificial intelligence. As a requirements engineer, I attempt to create a toon image by applying linguistic mechanisms to the current issue. This is combined with the UML object model through the semantic role analysis technique of linguists Chomsky and Fillmore. Then, the derived properties are linked to the toon creation template. This is to ensure productivity based on reusability rather than creativity in toon engineering. In the future, we plan to increase toon image productivity by incorporating software development processes and reusability.

• International journal of advanced smart convergence
• /
• v.13 no.1
• /
• pp.99-107
• /
• 2024

In AI image generation tools, most general users must use an effective prompt to craft queries or statements to elicit the desired response (image, result) from the AI model. But we are software engineers who focus on software processes. At the process's early stage, we use informal and formal requirement specifications. At this time, we adapt the natural language approach into requirement engineering and toon engineering. Most Generative AI tools do not produce the same image in the same query. The reason is that the same data asset is not used for the same query. To solve this problem, we intend to use informal requirement engineering and linguistics to create a toon. Therefore, we propose a sequence diagram and image generation mechanism by analyzing and applying key objects and attributes as an informal natural language requirement analysis. Identify morpheme and semantic roles by analyzing natural language through linguistic methods. Based on the analysis results, a sequence diagram and an image are generated through the diagram. We expect consistent image generation using the same image element asset through the proposed mechanism.

• Proceedings of the Korea Database Society Conference
• /
• 1999.06a
• /
• pp.281-287
• /
• 1999

Decision class analysis (DCA) is viewed as a classification problem where a set of input data (situation-specific knowledge) and output data (a topological leveled influence diagram (ID)) is given. Situation-specific knowledge is usually given from a decision maker (DM) with the help of domain expert(s). But it is not easy for the DM to know the situation-specific knowledge of decision problem exactly. This paper presents a methodology fur sensitivity analysis of DCA under incomplete information. The purpose of sensitivity analysis in DCA is to identify the effects of incomplete situation-specific frames whose uncertainty affects the importance of each variable in the resulting model. For such a purpose, our suggested methodology consists of two procedures: generative procedure and adaptive procedure. An interactive procedure is also suggested based the sensitivity analysis to build a well-formed ID. These procedures are formally explained and illustrated with a raw material purchasing problem.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 1999.03a
• /
• pp.281-287
• /
• 1999

Decision class analysis (DCA) is viewed as a classification problem where a set of input data (situation-specific knowledge) and output data(a topological leveled influence diagram (ID)) is given. Situation-specific knowledge is usually given from a decision maker (DM) with the help of domain expert(s). But it is not easy for the DM to know the situation-specific knowledge of decision problem exactly. This paper presents a methodology for sensitivity analysis of DCA under incomplete information. The purpose of sensitivity analysis in DCA is to identify the effects of incomplete situation-specific frames whose uncertainty affects the importance of each variable in the resulting model. For such a purpose, our suggested methodology consists of two procedures: generative procedure and adaptive procedure. An interactive procedure is also suggested based the sensitivity analysis to build a well-formed ID. These procedures are formally explained and illustrated with a raw material purchasing problem.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.24 no.4
• /
• pp.375-382
• /
• 2011

Nowadays computer graphic softwares have opened a lot of potential by providing parametric modeling and generative algorithms which are useful not only to describe various geometrical shapes but also to implement a designer's intent in terms of modules systematically. This study has proposed a way of developing a module for generating preliminary structural configuration using such potential computer graphics. Especially parametric modeling and generative algorithm are utilized to define various design alternatives, and moreover use of dynamic graphics enables designers to generate a structural form on one side and a force flow diagram correspondingly provided on the other. This ultimately leads to rational preliminary design of a structural form considering its force flow.

• Journal of Wind Energy
• /
• v.13 no.2
• /
• pp.42-52
• /
• 2022

In this paper, we propose a time-series generation methodology using a generative adversarial network (GAN) for long-term prediction of wind and sea conditions, which are information necessary for operations and maintenance (O&M) planning and optimal plans for offshore wind farms. It is a "Conditional TimeGAN" that is able to control time-series data with monthly conditions while maintaining a time dependency between time-series. For the generated time-series data, the similarity of the statistical distribution by direction was confirmed through wave and wind rose diagram visualization. It was also found that the statistical distribution and feature correlation between the real data and the generated time-series data was similar through PCA, t-SNE, and heat map visualization algorithms. The proposed time-series generation methodology can be applied to monthly or annual marine weather prediction including probabilistic correlations between various features (wind speed, wind direction, wave height, wave direction, wave period and their time-series characteristics). It is expected that it will be able to provide an optimal plan for the maintenance and optimization of offshore wind farms based on more accurate long-term predictions of sea and wind conditions by using the proposed model.