• Ocean and Polar Research
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• v.23 no.2
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• pp.141-160
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• 2001

The challenge of predicting the Japanese coastal ocean motivated Frontier Observational Research System for Global Change (FORSGC) and the Japan Marine Science and Technology Center (JAMSTEC) to start a multiyear observational programme in the upstream Kuroshio in November 2000. This field effort, the Kuroshio Observation Program (KOP), should enable us to determine the barotropic and baroclinic components of the western boundary current system, thus, to better understand interactions of the currents with mesoscale eddies, the Kuroshio instabilities, and path bimodality. We, then, will be able to improve modeling predictability of the mesoscale, seasonal, and inter-annual processes in the midstream Kuroshio near the Japanese main islands by using this knowledge. The KOP is focused on an enhanced regional coverage of the sea surface height variability and the baroclinic structure of the mainstream Kuroshio in the East China Sea, the Ryukyu Current east of the Ryukyu's, and the Kuroshio recirculation. An attractive approach of the KOP is a development of a new data acquisition system via acoustic telemetry of the observational data. The monitoring system will provide observations for assimilation into extensive numerical models of the ocean circulation, targeting the real-time monitoring of the Japanese coastal waters.

• Journal of Korea Port Economic Association
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• v.26 no.2
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• pp.19-35
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• 2010

The purpose of this paper is to develop a benchmark of performance standards for Global Logistics Provider in the merging logistics market. The Data Envelopment Analysis (DEA) can be employed to compare and analyse the efficiencies of Global Logistics Provider(3PL, 4PL). That is because Global Logistics Providers are able to reach the highest level of efficiency by using Logistics institutions and Logistics service systematically. This research is focused on analyzing the efficiencies of top 40 Global Logistics Providers. The framework assumes that the Providers use three inputs to produce one output. The inputs include number of employees information system, and number of warehouses. The output is the annual turnover. The results show that Panalpina, C.H. Robinson Worldwide, Maersk Logistics/Damco, Hub Group, Lander Global Logistics on Global Logistics Providers are the efficient providers. This paper also allows the inefficient DMUs to establish their benchmarking strategies. The strategies are dependent on the assets such as number of employees, information system, and number of warehouses.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.108-116
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• 2019

This study is a descriptive survey study intended to analyze the relationship between multicultural acceptability, empathy, and global citizenship of nursing students and identify the factors influencing global citizenship. The data was collected targeting 187 nursing students at universities located in the cities of B, U, and S. The collected data was analyzed using t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression analysis. The results were as follows: global citizenship of nursing students was positively correlated with multicultural acceptability and empathy. Factors influencing the level of global citizenship were empathy, multicultural acceptability, which together explained 40.0% of the total variance in global citizenship. Consequently, this study raises the need for the development and application of steady practical programs and various learning methods for the enhancement of global citizenship, which is required in the fields of nursing education where global competence is considered to be important.

• Honam Mathematical Journal
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• v.38 no.3
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• pp.583-592
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• 2016

In this paper, we consider the global existence of strong solutions to the incompressible Navier-Stokes equations on the cubic domain in $R^3$. While the global existence for arbitrary data remains as an important open problem, we here provide with some new observations on this matter. We in particular prove the global existence result when ${\Omega}$ is a cubic domain and initial and forcing functions are some linear combination of functions of at most two variables and the like by decomposing the spectral basis differently.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.5
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• pp.483-488
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• 2008

An active omni-directional raging system using an omni-directional vision with structured light has many advantages compared to the conventional ranging systems: robustness against external illumination noise because of the laser structured light and computational efficiency because of one shot image containing $360^{\circ}$ environment information from the omni-directional vision. The omni-directional range data represents a local distance map at a certain position in the workspace. In this paper, we propose a matching algorithm for the local distance map with the given global map database, thereby to localize a mobile robot in the global workspace. Since the global map database consists of line segments representing edges of environment object in general, the matching algorithm is based on relative position and orientation of line segments in the local map and the global map. The effectiveness of the proposed omni-directional ranging system and the matching are verified through experiments.

• International Journal of Knowledge Content Development & Technology
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• v.11 no.3
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• pp.29-44
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• 2021

The study provides a quantitative and qualitative description of global research in the domain of quantum machine learning (QML) as a way to understand the status of global research in the subject at the global, national, institutional, and individual author level. The data for the study was sourced from the Scopus database for the period 1999-2020. The study analyzed global research output (1374 publications) and global citations (22434 citations) to measure research productivity and performance on metrics. In addition, the study carried out bibliometric mapping of the literature to visually represent network relationship between key countries, institutions, authors, and significant keyword in QML research. The study finds that the USA and China lead the world ranking in QML research, accounting for 32.46% and 22.56% share respectively in the global output. The top 25 global organizations and authors lead with 35.52% and 16.59% global share respectively. The study also tracks key research areas, key global players, most significant keywords, and most productive source journals. The study observes that QML research is gradually emerging as an interdisciplinary area of research in computer science, but the body of its literature that has appeared so far is very small and insignificant even though 22 years have passed since the appearance of its first publication. Certainly, QML as a research subject at present is at a nascent stage of its development.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.1
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• pp.27-36
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• 2022

Purpose: This study aimed to understand the current status of global health curricula and characteristics in nursing schools, focusing on the changes since 2015. Methods: Data were collected from the websites of 202 nursing schools nationwide in Korea. Global health curricula were analyzed using a structured framework developed by the authors. Results: Among 202 nursing schools, 173 (85.6%) schools offer global health-related courses. Of these, 72 (35.6%) schools offer a 'Multiculturalism' course, and 42 (20.8%) schools offer a 'Global Nursing' course. Fifty-nine schools (29.2%) offer both courses. Compared to the study findings in 2015, the number of global health-related courses and the percentage of global health-related courses designated as a requirement dramatically increased. An additional analysis of five syllabi of global-health related courses found several differences in the courses' aims, contents and evaluation methods. Conclusions: Due to social and political changes, nursing schools are more likely to offer global health curricula. However, there is still a lack of consensus on the core contents and approaches of such curricula, necessitating systematic discussions about the core contents and effective learning methods to increase nursing student competency in global health nursing.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.315-320
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• 2023

Covid-19 is rapidly changing the global society. In particular, as the online connected world has become more important in recent years, new communication methods such as VR, AR, and metaverse have emerged as global trends. As social interest in technologies such as metaverse, blockchain, and NFT continues to grow, this study aims to understand the concept of NFT, which is being illuminated as a global trend keyword, and to examine the current status of the global fashion industry. As a result of examining NFT application cases of fashion brands that have grown rapidly since Covid-19, the use of NFT in the global fashion industry can be largely classified into three categories - Collection and Investment Type, Game Type NFT, Marketing and Event Type NFT. Based on this, We expect that this study will be used as basic data to actively utilize NFT, which is still in its infancy, to prepare a plan to revitalize the domestic fashion industry.

• Journal of the Korea Society of Computer and Information
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• v.22 no.6
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• pp.57-68
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• 2017

The Linked Open Data(LOD) cloud is quickly becoming one of the largest collections of interlinked datasets and the de facto standard for publishing, sharing and connecting pieces of data on the Web. Data publishers from diverse domains publish their data using Resource Description Framework(RDF) data model and provide SPARQL endpoints to enable querying their data, which enables creating a global, distributed and interconnected dataspace on the LOD cloud. Although it is possible to extract structured data as query results by using SPARQL, users have very poor in analysis and visualization of RDF data from SPARQL query results. Therefore, to tackle this issue, based on Formal Concept Analysis, we propose a novel approach for analyzing and visualizing useful information from the LOD cloud. The RDF data analysis and visualization technique proposed in this paper can be utilized in the field of semantic web data mining by extracting and analyzing the information and knowledge inherent in LOD and supporting classification and visualization.

• The Pure and Applied Mathematics
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• v.8 no.1
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• pp.47-51
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• 2001

We establish the global existence of nonnegative solutions to some reaction-diffusion equation for exponential nonlinearity for small initial data.