• Journal of Public Diplomacy
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• v.1 no.2
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• pp.27-48
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• 2021

Remarkably, despite the growing frequency and severity of global problems such as climate change, earthquakes and health pandemics, public diplomacy has remained largely focused on the goals of state actors and threats from other actors. The Covid-19 pandemic exposed the consequences of focusing on individual actors of public diplomacy, including their competitive quest for soft power, over the more pressing needs of humanity and public diplomacy's global mandate. The aim of this piece is to expand the vision of soft power from a competitive state-centric perspective to a broader and more collaborative, humanity-centered perspective. Although public diplomacy's link to power may appear recent and linked to Nye's (2004) concept of soft power, research suggests that it may stem from the traditional diplomacy's "diplomacy of imperialism" (Langer, 1935) that immediately preceded public diplomacy's rise. While this diplomatic heritage may currently dominate public diplomacy perspectives, humankind's global heritages and evolutionary capacity for cooperation suggest another vision is possible. The paper draws upon Alexander Vuving's (2009) explanation of how soft power works in a comparative analysis with Nye's original works to sketch out a new humanity-centered perspective of soft power. The paper concludes with implications of a humanity-centered perspective of soft power for public diplomacy's global mandate.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.203-204
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• 2015

This study examines the view of global trends in the Arctic Shipping. It is also provides a framework for understanding how participated in Arctic. The trends that had made it a centre of global attention. Surge of interest in its economy and politics has increased. That surge was driven by three things. Political and business agreements in the Arctic and with Arctic states, a trend that is likely to continue as the Arctic warms.

• SUVANNABHUMI
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• v.14 no.2
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• pp.251-268
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• 2022

Over the last few decades, global trade activities showed a significant increase, resulting in a rise of the wider global economic growth. The achievement is partly due to the more integrated global trade system under global trade regime such as World Trade Organization (WTO) that standardized the practice of global trade. On the other hand, it could also be seen that regional trade negotiation became more important part of global trade activity. The trade negotiation itself was pushed and tailored by regional perspective, which indigenized trade agreement. This research aims to analyze the indigenization of ASEAN's trade negotiation model. How has the current trade negotiation model within the region represented indigenous needs and aspirations? This study also offers to revisit the conceptual framework in identifying the trade negotiation model to measure the indigeneity of Southeast Asian automotive industry's policy. This research concludes by explaining the case studies which measure the effect of indigenization to the practice of trade agreement in the region.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.3981-4004
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• 2019

This paper proposes a novel method for locating objects in real space from a single remote image and measuring actual distances between them by automatic detection and perspective transformation. The dimensions of the real space are known in advance. First, the corner points of the interested region are detected from an image using deep learning. Then, based on the corner points, the region of interest (ROI) is extracted and made proportional to real space by applying warp-perspective transformation. Finally, the objects are detected and mapped to the real-world location. Removing distortion from the image using camera calibration improves the accuracy in most of the cases. The deep learning framework Darknet is used for detection, and necessary modifications are made to integrate perspective transformation, camera calibration, un-distortion, etc. Experiments are performed with two types of cameras, one with barrel and the other with pincushion distortions. The results show that the difference between calculated distances and measured on real space with measurement tapes are very small; approximately 1 cm on an average. Furthermore, automatic corner detection allows the system to be used with any type of camera that has a fixed pose or in motion; using more points significantly enhances the accuracy of real-world mapping even without camera calibration. Perspective transformation also increases the object detection efficiency by making unified sizes of all objects.

• The Research Journal of the Costume Culture
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• v.17 no.1
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• pp.177-188
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• 2009

SCM as the important marketing strategy enhance the firm's efficiency and compatibility in global market environment such as global outsourcing. Firms adopted SCM realized the need to evaluate precisely the performance of SCM. In spite of importance of SCM, there was not much intention and research to measure SCM performance in textile fashion industry. Therefore, the purpose of this case study was to measure performance of supply chain management in textile fashion business using BSC(Balanced Score Card) to measure not only financial perspective but also non-financial perspectives such as customer perspective, internal business perspectives, financial perspective, and innovation & learning perspective. The questionnaire developed by the reviews of the literature was adopted for this study. The results of this study showed that SCM performance was enhanced from the point of customer perspective(cost, quality, time, service), financial perspective(cash cycle time, inventory turn over, inventory obsolescence, return on asset, return on investment, capacity utilization), and innovation & learning perspective(cost for human resource management, service for human resources). But there was same performance level regarding internal business perspective(lead time, cost for manufacturing process, product quality control, productive flexibility for time, quantity, and variety). Therefore, we should keep close relationship and two way communication among supply chain members to promote better SCM performance.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.4
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• pp.11-33
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• 2013

We analyzed the structures and properties of the global financial market networks using social network analysis approach. The Minimum Spanning Tree (MST) lengths and networks of the global financial markets based on the correlation coefficients have been analyzed. Firstly, similar to the previous studies on the global stock indices using MST length, the diversification effects in the global multi-asset portfolio can disappear during the crisis as the correlations among the asset class and within the asset class increase due to the system risks. Second, through the network visualization, we found the clustering of the asset class in the global financial markets network, which confirms the possible diversification effect in the global multi-asset portfolio. Meanwhile, we found the changes in the structure of the network during the crisis. For the last one, in terms of the degree centrality, the stock indices were the most influential to other assets in the global financial markets network, while in terms of the betweenness centrality, Gold, Silver and AUD. In the practical perspective, we propose the methods such as MST length and network visualization to monitor the change of the correlation risk for the risk management of the multi-asset portfolio.

• The Journal of Korea Robotics Society
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• v.13 no.2
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• pp.113-120
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• 2018

To fly a drone or unmanned aerial vechicle(UAV) safely, its pilot needs to maintain high situation awareness of its flight space. One of the important ways to improve the flight space awareness is to integrate both the global and the local navigation map a drone provides. However, the drone pilot often has to use the inconsistent reference frames or perspectives between the two maps. In specific, the global navigation map tends to display space information in the third-person perspective, whereas the local map tends to use the first-person perspective through the drone camera. This inconsistent perspective problem makes the pilot use mental rotation to align the different perspectives. In addition, integrating different dimensionalities (2D vs. 3D) of the two maps may aggravate the pilot's cognitive load of mental rotation. Therefore, this study aims to investigate the relation between perspective difference ($0^{\circ}$, $90^{\circ}$, $180^{\circ}$, $270^{\circ}$) and the map dimensionality matches (3D-3D vs. 3D-2D) to improve the way of integrating the two maps. The results show that the pilot's flight space awareness improves when the perspective differences are smaller and also when the dimensionalities between the two maps are matched.

• Journal of Korean Academy of Nursing
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• v.30 no.5
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• pp.1099-1110
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• 2000

This paper aims to examine what nursing discipline has accomplishd to date and projects what could be its preferred future from global perspective. Major contextual factors that influence nursing are examined in light of their significance on the progress of nursing discipline. These include evolution of society, and trends in higher education and health care market. The perspective of world health is gained from WHO, an organization recognized for its mission for the health of people worldwide. As the future builds on the present that, in turn, builds on the past, major milestones of nursing discipline, particularly that of education system from the inception of nursing to present is highlighted. The importance of research to advance science and improve peoples health are presented along with a call for nursing research to be responsive to societal needs. The preferred future for nursing discipline is presented integrating the trends of society, higher education, and health care environment. Doctoral education that is the hallmark of nursing scholarship is further elaborated in terms of its mission, needs, and quality attainment. Data from the International Network of Doctoral Education in Nursing are presented along with information about current attempts in developing quality criteria and indicators for doctoral education in nursing worldwide. Majority of information in this paper comes from the United States, unless specified otherwise.

• Journal of the Korean association of regional geographers
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• v.17 no.4
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• pp.477-492
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• 2011

The purpose of this study is to analyze korean youths' educational experiences and their global leadership competencies and to present good methods for global leadership education. In this global society, students are required to be proactive global leaders. To achieve the research goal, I used the methods of literature review and survey, To conduct the survey, I selected 200 9-grade students in Kyonggie Do. The questionaires were composed of 2 parts such as global perspective and cultural literacy, The research results are as follows. First, students should have a vision as a global citizen. Second, they should develop problem-solving skills of global issues, Third, other cultures learning should be strengthened. Fourth, diversification of cultural diversity education should be accomplished. Fifth, education of awareness of global society, global issues, and other cultures rather than only languages learning for global leadership education should be accomplished. Sixth, global education in geography education should be strengthened.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.26 no.8
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• pp.1666-1671
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• 2002

A lane sensing algorithm using vision sensors is developed based on lane geometry models. The parameters of the lane geometry models are estimated by a Kalman filter and utilized to reconstruct the lane geometry in the global coordinate. The inverse perspective mapping from image plane to global coordinate assumes earth to be flat, but roll and pitch motions of a vehicle are considered from the perspective of the lane sensing. The proposed algorithm shows robust lane sensing performance compared to the conventional algorithms.