• 건축역사연구
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• 제14권4호
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• pp.157-175
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• 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.

• 한국실내디자인학회논문집
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• 제20권1호
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• pp.89-97
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• 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.

• 한국조경학회지
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• 제34권2호
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• pp.99-112
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• 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.

• 경영정보학연구
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• 제25권2호
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• pp.125-144
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• 2023

기존에는 사람이 생성하던 문장, 이미지, 음성 등을 인공지능 기술을 활용하여 자동으로 생성할 수 있게 되면서, 생성형AI 기술이 전 세계적인 관심을 받고 있다. 특히, 대표적 생성형AI 서비스인 ChatGPT는 기존 챗봇 서비스와 차별화되는 능동성과 정확도를 보여주며, 단기간에 이용자 수가 급증하고 있다. 이렇듯 생성형AI 서비스에 대한 관심이 높아지고 있음에도 불구하고, 대부분의 선행연구는 아직 초기 수준에 머무르고 있다. 이에, 본 연구는 생성형AI 서비스의 성공요인을 도출하고 이를 바탕으로 성공적인 비즈니스 전략을 제안하기 위해 LDA 토픽모델링과 키워드 네트워크 다이어그램을 활용하였다. 또한, ChatGPT를 사용하여 기존 텍스트마이닝 방법론을 보완하는 새로운 연구방법론을 제시하였다. 본 연구는 선행연구들의 한계를 극복하고, 생성형AI의 미래 발전에 대한 학술적 및 실무적 시사점을 제공했다는 점에서 의의가 있다.

• International journal of advanced smart convergence
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• 제13권1호
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• pp.85-91
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• 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
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• 제13권1호
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• pp.99-107
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• 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.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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• pp.281-287
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• 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.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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• pp.281-287
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• 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.

• 한국전산구조공학회논문집
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• 제24권4호
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• pp.375-382
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• 2011

최근 컴퓨터 그래픽 S/W는 변수화 모델링과 생성알고리즘을 제공함으로써 기하학적 표현의 다양성뿐만 아니라 설계자의 의도를 체계적으로 모듈화할 수 있는 여러 가지 가능성을 열어주고 있다. 이 연구에서는 이러한 가능성을 지닌 컴퓨터 그래픽 S/W기반으로 초기 구조형태를 생성하는 방법을 제시하고자 한다. 특히 변수화 모델링과 생성 알고리즘을 이용하여 다양한 설계대안을 생성한다. 더욱이 동적 그래픽스개념을 이용하여 설계자가 한편에서는 구조형태를 생성하는 동안에, 또 다른 한편에서는 상응하는 힘의 흐름도가 마련되도록 한다. 이는 궁극적으로 힘의 흐름에 근거한 합리적 초기 구조형태 설계를 지원하게 될 것이다.

• 전자공학회논문지CI
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• 제37권5호
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• pp.45-53
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• 2000

0.8㎛ 단일 폴리 CMOS 집적회로로 구현된 혼돈 뉴런의 동적 응답 특성을 분석하였다. 구현된 CMOS 혼돈 뉴런의 시그모이드 출력함수와 혼돈 발생회로 블록에 대한 일련의 수식 모델을 구하여 혼돈 뉴런의 동적 응답특성, 즉 뉴런 내부상태의 분기도 및 초기값 의존성을 보여주는 리아프노프 지수와 평균 발화율, 시간 및 주파수 응답 등 다양한 특성들을 수치해석적으로 분석하였다. 뿐만 아니라 4개의 시냅스를 지닌 2개의 혼돈 뉴런으로 이루어진 카오스 신경 회로망을 구성하여 시냅스 가중치에 따른 분기도 변화를 구하고 뉴럴 네트워크에서의 응용 가능성을 확인하였다. 한편 CMOS 집적회로로 구현된 혼돈 뉴런을 ±2.5V 전원, 10㎑의 클럭으로 구동시켜 단일 혼돈 뉴런 및 2개의 뉴런으로 이루어진 카오스 신경망에 대한 여러 동적 응답 특성을 측정하여 수치해석 결과와 비교, 분석하였다.