• Journal of Technology Innovation
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• v.12 no.3
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• pp.111-134
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• 2004

Current technology innovation or new product development project is composed of various process elements that conduct researches on fundamental technologies. However, with the effects of PERT and CPM, the greater part of the existing project management researches have only focused on the resource allocation and scheduling. But in the multi-project environment, priorities between technology elements need to be considered. Furthermore, a disagreement of opinion between project managers and researchers should be considered. In this study, technology element priority was determined using modified QFD and Taguchi method. Outcome of each method was compared to analyze the difference between project managers and researchers. As a result, QFD method showed relatively high level of consistency between project managers and researchers.

• KDI Journal of Economic Policy
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• v.43 no.4
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• pp.23-44
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• 2021

This research attempts to provide an in-depth analysis of the public perceptions of inter-Korean economic cooperation. KDI survey data with a sample size of 1,000 were subjected to empirical analyses. By means of ordered logit estimations, we derive the following results. First, there is a significant effect of age on economic cooperation perceptions, where younger generations tend to be more negative. Second, the group who has positive view on the economic cooperation tends to prefer large-scale, domestic-entity-funded cooperation projects, whereas the group who has negative view tends to prefer small-scale projects and projects funded by international organizations. According to these results, prioritizing trade with the involvement of international organizations is likely to be an effective measure to alleviate potential political constraints and to achieve sustainable long-run economic cooperation systems when pursuing the economic cooperation.

• Journal of the Semiconductor & Display Technology
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• v.16 no.2
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• pp.1-8
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• 2017

The visual inspection of electronic parts consists of two steps: automatic visual inspection and verification inspection. In the stage of a verification inspection, the human inspector sequentially inspects all the areas which detected in the automatic inspection. In this study, we propose an algorithm to determine the order of verification inspection by Bayes inference well known in the field of machine learning. This is a method of prioritizing a region estimated to have a high probability of defect using experience data of past inspection. This algorithm was applied to the visual inspection of ultraviolet filters to verify its effectiveness. As a result of the comparison experiment, it was confirmed that the verification inspection can be completed 30% of the conventional method by adapting proposed algorithm.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1503-1508
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• 2009

The paradigm of urban generation does not lie in physical development/maintenance such as urban redevelopment any more. The paradigm is shifting to balanced activation of administration / management functions including central commerce/business functions, broad culture/tourism functions, international functions and adequate level of residence functions. The urban regeneration project aims to restore functions of cities by physical/environmental, living/cultural and industrial/economical regeneration and is managed differently from existing projects in that it includes multiple sub-projects in it. The overall projects management should be by managing the value sought by the urban regeneration project and multiple other sub-projects. The objective of this study is to present various methods of value management in order to avoid conflicts between various objectives within the said project. It aims to provide the value management methods for decision making by understanding correlatedness between values of various projects and prioritizing them.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.444-447
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• 2009

임베디드 시스템은 여러 유형의 엄격한 제약사항을 지키는 범위 안에서 개발되어야 하기 때문에 요구사항의 우선순위 결정은 매우 중요하다. 이는 결국 개발 초기단계에 요구사항 우선순위화를 통하여 주어진 제품 개발 목표 및 개발 조직의 다양한 상황에 적합한 관점을 고려한 최적의 요구사항을 선택하는 활동이 요구된다. 따라서 본 논문에서는 임베디드 시스템의 다양성과 특수성을 고려한 임베디드 시스템 요구사항 우선순위 기법을 제안한다. 이를 위해 요구사항 우선순위 관점에서 임베디드 시스템 개발에 적합한 관점, 의존 및 상충 관계를 고려하여 요구사항을 우선순위화하며, 제안된 방법을 핸드폰 개발 사례에 적용하여 유용성을 검증한다. 이러한 합리적인 우선순위 선정을 통해 주어진 비즈니스 목표에 부합되고 시장요구에 적극적으로 반응할 수 있는 제품을 만들 수 있다.

• Journal of Environmental Science International
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• v.32 no.10
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• pp.703-712
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• 2023

Due to sporadic development projects and Korea's geographical characteristics slopes are inevitable. Consequently, widespread slope greening projects are underway, prioritizing safety and landscape integration. Experimental research is being conducted on slope greening methods and their effects; however, there is a dearth of research on the various conditions resulting from slope greening construction defects. This study examined different conditions and assessed greening methods on real-world sites to understand their correlation with slope greening. Even in the same areas, the state of slope greening varied in different conditions. This underscores the importance of pre-evaluating specific conditions to achieve efficient slope greening results across various conditions. Consequently, there is a need for guidelines and institutional frameworks to assess various conditions in future endeavors.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.383-385
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• 2008

With the amazing growth of web faster important page crawlers poses great challenge. In this research we proposed fractional PageRank, a variation of PageRank computed during crawl that can able to prioritize the downloading order. Experimental results shows that it outperforms the prior crawler in terms of running time yet provide a well download ordering.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.1-11
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• 2023

Clustering analysis is used in various fields including customer segmentation and clustering methods such as k-means are actively applied in the credit card customer segmentation. In this paper, we summarized the input features selection method of k-means clustering for the case of the credit card customer segmentation problem, and evaluated its feasibility through the analysis results. By using the label values of k-means clustering results as target features of a decision tree classification, we composed a method for prioritizing input features using the information gain of the branch. It is not easy to determine effectiveness with the clustering effectiveness index, but in the case of the CH index, cluster effectiveness is improved evidently in the method presented in this paper compared to the case of randomly determining priorities. The suggested method can be used for effectiveness of actively used clustering analysis including k-means method.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.44-47
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• 2024

With the advancement of Internet technology, online sales and purchases of products have become active. Along with this, the importance of user reviews is also being highlighted. Although user reviews are actively utilized for product sales and purchases, it is difficult to quickly and easily obtain useful information due to the abundance of user reviews. Therefore, prioritizing user reviews is a necessary service for customers that requires careful consideration. Metadata, which contains important information, can be effectively used to prioritize user reviews. However, it is crucial to select and use metadata appropriately according to the purpose. Lean Startup proposes a strategy of repeatedly correcting the problems of ideas or making early transitions to continue trying different approaches. In this paper, we propose a three-step method applying the Lean Startup process to analyze ways to prioritize user reviews using metadata: Build Priority, Measure Priority, Learn Priority.

• Journal of Wellbeing Management and Applied Psychology
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• v.7 no.1
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• pp.35-41
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• 2024

Purpose: This study examines the persistent occurrence of railway accidents despite numerous safety devices, highlighting the multifaceted nature of these incidents. Research design, data and methodology: Utilizing the 4M analysis method, the research investigates a decade's worth of accident reported from the Aviation and Railway Accident Investigation Board to identify risk factors and suggest mitigation measures. Results: The analysis reveals that 57% of railway accidents are attributed to human factors, followed by mechanical (28%), environmental (7%), and management (8%) factors. Conclusions: The study underscores the necessity of prioritizing safety and establishing a unified organizational approach to prevent human error accidents. It calls for an alignment of risk perception between headquarters and field operations, advocating for educational and perceptual changes, as well as systematic improvements to achieve safety goals.