• Fashion & Textile Research Journal
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• v.17 no.1
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• pp.102-115
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• 2015

Due to the diversification of lifestyles and the rapid growth of Internet environments since the 1990s, mass customization has been recently accepted as an important trend in the area of clothing and all other areas. In response to mass customized clothing products, global clothing product brands are introducing systems for mass customization such as the application of digital fashion systems that introduced IT technologies such as CAD and 3D scanners. However, studies of planning factors for clothing products applied with digital fashion systems in the area of mass production of clothing products are insufficient. Therefore, this study was intended to analyze the lifestyles of 20-30s that are expected to have the highest demand for clothing applied with digital fashion systems and present basic planning factors according to lifestyles. Through the analysis, three groups that have one of fashion pursuing type, sensory information pursuing type, and practical function pursuing type lifestyles were derived. Based on this result, consumer demand for digital fashion systems and basic factors for product planning were analyzed to present basic planning factors for digital fashion system based customized clothing by lifestyle group. This study is meaningful in that it provided basic data for product planning through digital fashion systems by analyzing the awareness, preference, necessity, and planning factors of digital fashion systems through the analysis of lifestyle types.

• Journal of Information Technology Services
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• v.2 no.1
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• pp.145-156
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• 2003

This paper presents and analyzes urban planning process to be adopted to create ubiquitous space in city environment, using City of Seoul's Digital Media Street Project as a case study. The Digital Media Street will become the main pedestrian thoroughfare in the Digital Media City (DMC) in Sangam area, planned to become the world's first ubiquitous environment in full urban scale. Ubiquitous space is reinterpreted from an urban planning perspective, and a new approach to planning such a space is introduced, including strategies to couple technology, space, and human activities. Methodology, role of different actors, planning process, and institutional arrangement are examined in turn, and this yields further agenda for improvements that can be made in planning ubiquitous spaces in the future.

• 한국디지털정책학회:학술대회논문집
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• 2005.11a
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• pp.177-183
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• 2005

The purpose of this paper is to analyze the concept and cultivating planning of leading company in digital contents industry to promote industrial competitiveness of Korea. Analysis of this study focuses on concept of leading company in digital contents industry through the delphi method. And in addition, we propose the cultivating planning through the value chain method and AHP method. Finally, this study presents the various implication and policy planning.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.1
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• pp.115-122
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• 2014

Mobile robot has been studied for long time due to its simple structure and easy modeling. Regarding path planning of the mobile robot, we suggest real-time hybrid path planning algorithm which is the combination of optimal path planning and real-time path planning in this paper. Real-time hybrid path planning algorithm modifies, finds best route, and saves calculating time. It firstly plan the route with real-time path planning then robot starts to move according to the planned route. While robot is moving, update the route as the best outcome which found by optimal path planning algorithm. Verifying the performance of the proposed method through the comparing real-time hybrid path planning with optimal path planning will be done.

• Design Convergence Study
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• v.15 no.3
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• pp.133-149
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• 2016

In this study, I tried to provide the basic data for planning the public library space to meet the new needs of the users in digital generation by survey and literature review on factors in planning the digital space of public libraries. In 2000, a separate space for digital materials has been prepared at the most of the libraries as a part of informatization program of public libraries. However, it is not sufficient to provide a number of different needs of the users due to the identical design of all the libraries. For the prioritization, 50 factors have been deducted by review of preceding studies, evaluation factors and criteria of library of each institution. Factorial analysis was performed on the factors with the importance which was higher than average. Also, the relationships among the factors with similar properties were understood to categorize the factors in space planning by each factor. Based on these factors in planning the digital space, further space evaluation of the public library and user satisfaction survey could be followed to provide a fundamental basis for the specific space planning.

• Journal of the Korean Society for Precision Engineering
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• v.23 no.11 s.188
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• pp.68-77
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• 2006

Nowadays, the increasing global competition forces automobile manufacturer to increase quality and to reduce the cost and time for manufacturing planning. To solve these problems, automobile manufacturers try to apply digital manufacturing technologies. In this paper, a concept of method for planning the digital assembly system is proposed. Based on the requirements of assembly tasks obtained through product analysis, the function and sequence modeling for assembly process is executed using the IDEF0 and UML model. For implementation of digital assembly system, the selected components are modeled by using 3D CAD tools. According to the system configuration strategy, lots of the alternative solutions for the assembly system are generated. Finally, the optimal assembly system is chosen by the evaluation of the alternative solutions with TOPSIS(Technique for Order Preference by Similarity to Ideal Solution) method. According to proposed procedure, digital laser welding system is implemented in DELMIA.

• Korean Journal of Computational Design and Engineering
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• v.9 no.4
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• pp.325-333
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• 2004

To ensure competitiveness in the modern automotive market, material arrangements and information managements should be performed concurrently with new car developments. In automotive general assembly shops, thus, new business workflow and supporting environments are inevitable to reduce the manufacturing preparation time in developing a new car in the manner of concurrent and collaborative engineering. Since complete material arrangements for a whole general assembly system is a huge and complex job, several planners should execute their planning jobs and share information. Therefore, each planner should provide others with his/her results with continuous on-line communication and cooperation. Digital automotive general assembly factory is useful the performing concurrent and collaborative engineering and is essential for material arrangements and information managements systems. In this research, we constructed a sophisticated digital factory of an automotive general assembly shop by measuring and modeling through the parametric 3-D CAD, and a web-based system for concurrent and collaborative material arrangements for automotive general assembly via 3D mock-up is developed. By the digital general assembly shop and developed web-based system, savings in time and colt of manufacturing preparation activities are possible, and the reliability of the planning result Is greatly improved.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.2
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• pp.27-34
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• 2017

Highly informative admissible heuristics can help to conduct more efficient search for optimal solutions. However, in general, more informative ones of heuristics from planning problems requires lots of computational effort. To address this problem, we propose an Delete Relaxation based Action Costs-based Planning Graph(ACPG) and Action Costs-based Heuristics for solving optimal planning problems more efficiently. The ACPG is an extended one to be applied to can find action costs between subgoal & goal conditions from the Relaxed Planning Graph(RPG) which is a common means to get heuristics for solving the planning problems, Action Costs-based Heuristics utilizing ACPG can find action costs difference between subgoal & goal conditions in an effective way, and then consider them to estimate the goal distance. In this paper, we present the heuristics algorithm to compute Action Costs-based Heuristics, and then explain experimental analysis to investigate the efficiency and the accuracy of the Action Costs-based Heuristics.

• Journal of Digital Convergence
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• v.7 no.1
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• pp.149-156
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• 2009

Enterprise Resource Planning (ERP) system is one of key information technology to shape doing business. ERP adoption characteristics like IS planning and change management before ERP implementation are rising in importance, because of gaining competitive advantage. The purpose of this study is to analyze the impact of the characteristics of ERP adoption on ERP implementation success. From previous researches on ERP adoption and implementation, two characteristics of ERP adoption such as IS planning and change management, and 2 dependent variables such as process innovation and business performance, are identified. From data collection processes, 122 samples are collected. The results of hypothesis testing show that organizations with IS plan have higher implementation performance than organizations without IS plan. Also, organizations with the process of change management have higher implementation performance than organizations without the process of change management. Also, The interaction effect between IS planning and change management shows bigger impact in ERP implementation success.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.3
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• pp.27-37
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• 2021

Highly informative heuristics in AI planning can help to a more efficient search a solutions. However, in general, to obtain informative heuristics from planning problem specifications requires a lot of computational effort. To address this problem, we propose a Partial Planning Graph(PPG) and Mixed Heuristics for solving planning problems more efficiently. The PPG is an improved graph to be applied to can find a partial heuristic value for each goal condition from the relaxed planning graph which is a means to get heuristics to solve planning problems. Mixed Heuristics using PPG requires size of each graph is relatively small and less computational effort as a partial plan generated for each goal condition compared to the existing planning graph. Mixed Heuristics using PPG can find partial interactions for each goal conditions in an effective way, then consider them in order to estimate the goal state heuristics. Therefore Mixed Heuristics can not only find interactions for each goal conditions more less computational effort, but also have high accuracy of heuristics than the existing max and additive heuristics. In this paper, we present the PPG and the algorithm for computing Mixed Heuristics, and then explain analysis to accuracy and the efficiency of the Mixed Heuristics.