• Journal of KIBIM
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• v.7 no.1
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• pp.36-44
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• 2017

While previous studies argue that BIM-based assembling collaboration promotes the communication and process management among participants in architectural design projects, it is still unknown which communication and socio-psychological factors are more and less activated in use of BIM-based collaboration. To investigate this research aim, in authentic BIM-used architectural retrofitting projects, the participants (N=36) collaborated and assessed the communication factors on (1) perceiving design results, (2)understanding partners'design intention, (3) proposing and converging opinions, the interpersonal design process management factors on (1) managing design process, (2) managing collaboration schedule, and the complementedness factors on (1) understanding partners' expertise, and comradeship. Statistical analyses reveal that the factor relevant to perceiving design results is better activated than the other factors (p<0.05), but all other factors are not much activated compared to perceiving design results. Deduced from the previous BIM studies and interviews, a reason roots in the shared forms and semantics of BIM. The shared semantics represent collaborators' information and allow the participants to perceive design changes explicitly. Meanwhile, BIM-based assembling collaboration is limited to represent observable, experience-able processes of design, and thus, several key socio-psychological factors, such as proposing and converging opinions and managing design process, are less activated.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.4
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• pp.666-683
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• 2023

This research aims to develop based clothing design process tailored to the industry-university collaborative setting and apply it in a fashion design class. into three distinct phases: designing and organizing our fashion design class, conducting our class at a university, and gathering student feedback. First, we conducted a literature review on employing new technologies in traditional clothing design processes. We consulted with industry professionals from the Samsung C&T Fashion Group to develop an AI-based clothing design process. We then developed in-class learning activities that leveraged fashion brand product databases, a supervised learning AI model, and operating an AI-based Creativity Support Tool (CST). Next, we setup an industry-university fashion design class at a university in South Korea. Finally, we obtained feedback from undergraduate students who participated in the class. The survey results showed a satisfaction level of 4.7 out of 5. The evaluations confirmed that the instructional methods, communication, faculty, and student interactions within the class were both adequate and appropriate. These research findings highlighted that our AI-based clothing design process applied within the fashion design class led to valuable data-driven convergent thinking and technical experience beyond that of traditional clothing design processes.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2004.04a
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• pp.103-110
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• 2004

Recently, performance based seismic design (PBSD) methods in numerous forms have been suggested and widely studied as a new concept of seismic design. The PBDSs are far from being practical due to complexity of algorithms resided in the design philosophy In this paper, optimal seismic design method based on displacement coefficient method (DCM) described in FEMA 273 is developed. As an optimizer simple genetic algorithms are used for implementations. In the optimization problem formulated in this paper, strength design criteria, stiffness design criteria, and nonlinear response criteria specified in DCM are included in design constraints. The optimal performance based design(OPBD) method is applied to seismic design of a 9-story two-dimensional steel frame structures.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2005.04a
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• pp.636-643
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• 2005

Recently, performance based seismic design (PBSD) methods have been suggested in numerous forms and widely studied as a new concept of seismic design. The PBDSs are far from being practical method due to complexity of algorithms resided in the design philosophy. In this paper, optimal seismic design method based on displacement coefficient method (DCM) described in FEMA 273 is developed. As an optimizer simple genetic algorithms are used for implementations. In the optimization problem formulated in this Paper, strength design criteria stiffness design criteria, and nonlinear response criteria specified in DCM are included in design constraints. The optimal performance based design(OPBD) method is applied to seismic design of a 3-story two-dimensional steel frame structures.

• Journal of the Society of Naval Architects of Korea
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• v.47 no.3
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• pp.447-453
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• 2010

Response-based approach is getting more preferred in determining the design sea-state for offshore structures because traditional environment-based approach is known to yield a much conservative design condition. This paper introduces the inverse first-order second-moment (IFOSM) method as a response-based approach, which is expected to give a more feasible design condition at the cost of reasonable number of motion analyses. The IFOSM method is based on the theory of probability and adopts an optimization scheme to determine the design point. Both the design maximum response and design sea state can be obtained straightforwardly from the optimum. The IFOSM method has been applied to a turret-moored FPSO's design problem and showed its effectiveness in practical use.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.12
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• pp.1449-1454
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• 2009

The performance variation of a multibody system is affected by a variation of various design variables of the system. And the effects of design variable variations on the performance variation must be considered in design of a multibody system. Accordingly, a variation analysis of a multibody system needs to be conducted in design of a multibody system. For a variation analysis of a performance, population mean and variance which are called statistical parameters of design variables are needed. However, an evaluation of statistical parameters of design variables is impossible in many practical cases. Therefore, an estimation of statistical parameters of the performance based on sample mean and variance which are called statistic of design variables is needed. In this paper, the variation analysis method for a multibody system based on design variable samples was proposed. And, using the proposed method, a variation analysis of the vehicle ride comfort based on sample statistic of design variables was conducted.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.119-123
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• 2005

Mold design is a knowledge-intensive decision making process where product designer, injection molding engineer as well as mold designer affect each other. Representation and management of design knowledge is a prerequisite for an intelligent design system, which aims to guide and support designer to carry out design activity in more efficient way by avoiding or minimizing unnecessary trial and errors. This paper discusses the issues in knowledge-based mold design, and describes the structure of a knowledge-based mold design system fur parts with micro features under development.

• Proceedings of the Korea Society of Design Studies Conference
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• 1995.11a
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• pp.60-61
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• 1995

• Proceedings of the Korea Society of Design Studies Conference
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• 2002.05b
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• pp.170-171
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• 2002

• Design Convergence Study
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• v.15 no.4
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• pp.59-70
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• 2016

Due to the newly emerging market for telepresence robots and the research in the area, designers and developers lack guidelines for specifying the physical characteristics of telepresence robots. On the basis of the previous literature, we attempted to make a distinction between two robot height approaches for telepresence robot designs: floor- versus desk-based robot designs. This research investigated the effects of these robot height approaches on consumer acceptance. We predicted that there would be difference between floor-based robots and desk-based robots regarding consumers' evaluation of and intent to purchase social robots. A study using two types of robots was conducted with sixty university students. The results showed that participants perceived desk-based robots as more useful than floor-based robots. In addition, the participants evaluated desk-based robots more positively than floor-based robots. Purchase intention and willingness to pay also showed similar results as evaluation. The implications for the design of telepresence robots in terms of increasing acceptance of robots are discussed in detail.