• Proceedings of the Korea Society of Design Studies Conference
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• 2005.05a
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• pp.274-275
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• 2005

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.103-114
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• 2021

This study explores research methodologies of design and data science, and applies data science paradigm on design process. Design research methodologies would have benefits of productivity and efficiency by using data driven design methodology. From insights of former studies, a new methodology of data driven design is suggested that design problem is transformed to data set attributes, such as variables, values and data patterns. The fine dust information app design is conducted as a case study to prove this methodology.

• Archives of design research
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• v.17 no.4
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• pp.159-168
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• 2004

Theoratical and academic research of korean design study started from 1979, the year of establishment of the Korean Society of Design Science. From that point, social contribution and academic research of design study through the academic exchange has been brought up. I collected 2,065 thesises from the 'Journal of Korean Society of design Science' and 'Journal of Korean Society of Basic Design and Art' to analyze the design study tendency during last 24 years. The purpose of this paper is to show the Design study tendency and the direction of the design study with the empirical analysis. The frequency analysis and descriptive statistics were used for the data analysis, and the $X^2$ has been used to verify the differences between the observed frequency and expected frequency of items. The Original articles of design study has been increased steadily because of the growing importance of the design study in the society. The analysis shows Design Foundation Study, Design Application Study and Design Basic Study are the most frequently studied area in the Korean Design Study. Design Study utilize the research methodology of social science to get the reasonable and objective result. Because of this, the number of empirical research method has been increased in the research methodology in Korean Design Study.

• Archives of design research
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• v.19 no.5 s.67
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• pp.105-118
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• 2006

From a general perspective of design history, the design methodology movement is interpreted in relations to the rationalistic and universal characteristics of modernism. This essay explores a historical context of the movement, focusing on its discursive and practical relations to cyborg sciences that has been shaped by the research and development of military technology in Cold War America. The formation of such relations could be largely devided into two processes: One is the process in which methods and techniques of system science that included operation research, system analysis, and system engineering, were appropriated by the first generation methodologists who had tried to establish "the science of design", and the other is the one in which Herbert Simon's studies on problem solving and artificial intelligence became profoundly embedded in theoretical frameworks of design methodology after the first generation. Examining such processes critically, this essay argues that a design process became finally redefined by the third generation methodology, as a 'feedback loop' of circulation of production and consumption, that is, an apparatus of information-processing which gives a concrete form to the "invisible hand" of markets.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.16-17
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• 2005

• Journal of the Korea Institute of Military Science and Technology
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• v.18 no.1
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• pp.15-21
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• 2015

Rifling Force can be described with projectile velocity, gas pressure and rifling angle, etc. Under the same conditions, the character of the rifling angle decisively influences the rifling force. To reduce the harmful effect, locally distinct maximum of rifling force has to be avoided. The optimal design methodology of rifling angle curve had been developed by combined Fourier series and polynomial function. When it was tried newly to design the rifling angle curve, this design trial caused not to produce the lower rifling force than the existing design. Normally, the curve of the rifling angle is designed first, then the rifling force is set according to the rifling angle curve. However during the cause analysis, new design methodology was established to design the ideal rifling force curve before the rifling angle design. With this new methodology, the above optimal design method was analyzed and its limitation was confirmed.

• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.2
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• pp.49-64
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• 1991

In this paper, we present a stepwise design methodology for relational databases using a new conceptual data model, the MAO(Multiple Aspects-based Object) model. Our methodology consists two steps : first, data requirements are conceptualized using the MAO model with concepts such as objects types and aspect types : second, the MAO model is transformed into the third normal form inn the relational model supported by commercial DBMs. A top-down approach is used for the MAO modelling in the first, step, and the transformation process in the second step can be automated. Our methodology supports easier and more database design of real world than other methodologies using existing data models.

• Food Science of Animal Resources
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• v.43 no.2
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• pp.374-381
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• 2023

In a previous study, 'response surface methodology (RSM) using a fullest balanced model' was proposed to improve the optimization of food processing when a standard second-order model has a significant lack of fit. However, that methodology can be used when each factor of the experimental design has five levels. In response surface experiments for optimization, not only five-level designs, but also three-level designs are used. Therefore, the present study aimed to improve the optimization of food processing when the experimental factors have three levels through a new approach to RSM. This approach employs three-step modeling based on a second-order model, a balanced higher-order model, and a balanced highest-order model. The dataset from the experimental data in a three-level, two-factor central composite design in a previous research was used to illustrate three-step modeling and the subsequent optimization. The proposed approach to RSM predicted improved results of optimization, which are different from the predicted optimization results in the previous research.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.605-608
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• 2003

In order to satisfy the high need for technology valuation, various technology valuation methods have been developed. However the need to develop a new technology valuation method considering the technology characteristics, technology valuation objective, and technology valuation environments has been increasing. So far the technology valuation mehtods have been developed based on technology valuation experts' domain knowledge without applying systematic design methodology. In this paper the process that applies Axiomatic Design principles as a design methodology to the technology valuation methodology design is described. The design consists of technology valuation process design and technology valuation content design. The Axiomatic Design approach introduced in this paper can be used as a systematic technology valuation design tool considering various technology characteristics and technology valuation objectives and also as an evaluation tool of traditional technology methods.

• Journal of Information Science Theory and Practice
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• v.11 no.1
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• pp.61-78
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• 2023

Ontological knowledge modelling of epic texts, though being an established research arena backed by concrete multilingual and multicultural works, still suffers from two key shortcomings. Firstly, all epic ontological models developed till date have been designed following ad-hoc methodologies, most often combining existing general purpose ontology development methodologies. Secondly, none of the ad-hoc methodologies consider the potential reuse of existing epic ontological models for enrichment, if available. This paper presents, as a unified solution to the above shortcomings, the design and development of GOMME - the first dedicated methodology for iterative ontological modelling of epics, potentially extensible to works in different research arenas of digital humanities in general. GOMME is grounded in transdisciplinary foundations of canonical norms for epics, knowledge modelling best practices, application satisfiability norms, and cognitive generative questions. It is also the first methodology (in epic modelling but also in general) to be flexible enough to integrate, in practice, the options of knowledge modelling via reuse or from scratch. The feasibility of GOMME is validated via a first brief implementation of ontological modelling of the Indian epic Mahabharata by reusing an existing ontology. The preliminary results are promising, with the GOMME-produced model being both ontologically thorough and competent performance-wise.