• The Journal of Information Systems
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• v.19 no.3
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• pp.149-179
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• 2010

This study empirically investigated the effects of both organizational culture(i.e., innovative, supportive and bureaucratic) and information technology(IT) infrastructure(i.e., knowledge storage, transfer and search IT) on the knowledge management(KM) activities(i.e., knowledge creation, sharing and application) in Korean manufacturing firms. We also partially demonstrated the impact of KM activities on the KM performance(i.e., KM satisfaction) of a firm. Through multiple regression analyses, it was found that innovative and supportive culture, and IT infrastructure have a positive impact on the activation of KM activities. The results of this study also showed that the innovative and supportive culture positively influence the adoption of IT infrastructure, and through the construction of IT, they have an indirect effect on KM activities. With a structural equation modeling technique, the causal relationships among organizational culture, IT infrastructure, knowledge management activities, and KM performance were confirmed. Hence, it is concluded that culture and IT infrastructure have direct effects on KM activities, and culture also indirectly influences KM activities through the adoption of IT infrastructure.

• Nuclear Engineering and Technology
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• v.52 no.7
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• pp.1436-1442
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• 2020

Nuclear infrastructure systems play an important role in national security. The functions and missions of nuclear infrastructure systems are vital to government, businesses, society and citizen's lives. It is crucial to design nuclear infrastructure for scalability, reliability and robustness. To do this, we can use machine learning, which is a state of the art technology used in various fields ranging from voice recognition, Internet of Things (IoT) device management and autonomous vehicles. In this paper, we propose to design and develop a machine learning algorithm to perform predictive maintenance of nuclear infrastructure. Support vector machine and logistic regression algorithms will be used to perform the prediction. These machine learning techniques have been used to explore and compare rare events that could occur in nuclear infrastructure. As per our literature review, support vector machines provide better performance metrics. In this paper, we have performed parameter optimization for both algorithms mentioned. Existing research has been done in conditions with a great volume of data, but this paper presents a novel approach to correlate nuclear infrastructure data samples where the density of probability is very low. This paper also identifies the respective motivations and distinguishes between benefits and drawbacks of the selected machine learning algorithms.

• International Journal of Contents
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• v.5 no.3
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• pp.71-78
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• 2009

Recently, interest has heightened over 'critical infrastructures' and their reliability in the face of potential terrorist attack. Assault on any of the critical infrastructures as transportation, power, water, telecommunications, and financial services, entails great consequences for their users as well as the other interdependent critical infrastructures. How to protect our vital critical infrastructures is the key question in this paper. The purpose of this article is to suggest the implications for crisis and emergency management to protect the critical infrastructures in our society. For achieving the purpose, we examined the concept of comprehensive security, national crisis, and critical infrastructure and, using the holistic approach, we examined the comprehensive emergency management for suggesting the implications for establishing the critical infrastructure protection system; building up the high reliability organization, organizing and partnering, assessing the risk, preparing first responders, working with private owners of critical infrastructures, working with communities, improving the administrative capacity.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.676-677
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• 2015

In Korea, NSDI(National Spatial Data Infrastructure) was implemented for integrating and sharing the nationally generated spatial data. One of the main roles of implementing NSDI is providing spatial data to public agencies. And now, the establishment plan for NSDI with the technical advancement should be needed. This paper deals with the technical aspects of adopting cloud service in the NSDI. First, we propose the concept for target system, which shows the current and future NSDI. In the future NSDI model, GIS cloud and governance systems are included. Service functions for cloud system and infrastructure implementation design directions are derived. Finally, governance system implementation plan is described. This research will contribute to the implementation of NSDI cloud service system.

• Journal of Korean Society on Water Environment
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• v.29 no.6
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• pp.847-851
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• 2013

This study describes the results of an investigation conducted in order to characterize the quantity and quality of individual gray water streams. The highest pollutants concentrations were found in gray water originating from kitchen and laundry with $BOD_5$ concentrations in the order of several hundreds $mgl^{-1}$. In contrast to this, bathroom was regarded as a major contributor of Escherichia coli. Laundry gray water has higher pH, sodium, sulfate, anionic surfactants. Individual gray water types had different contribution to the overall daily discharge and relative pollutants loads. Kitchen, although accounting for only 13% of the total volume, was identified as a major source of microorganisms with Total coliforms, Escherichia coli, Fecal streptococcus taking up 82%, 74% and 54% of their relative daily load, respectively. The laundry gray water, although being responsible for 36% of the total daily discharge, was established as a significant contributor of sodium, sulfate, anionic surfactants and TOC (70%, 72%, 84% and 52%, respectively). But the laundry gray water was a minor source of microorganisms. Bathroom was found to be a major gray water producer, making up 51% of the flow, but constituted less than 50% of the relative daily load in most cases.

• The Korean Journal of Ecology
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• v.23 no.2
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• pp.101-106
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• 2000

The grand challenge for the 21$^{st$ century is to harness knowledge of the earth`s biological and ecological diversity to understand how they shape global environmental systems. This insight benefits both science and society. Biological and ecological data are among the most diverse and complex in the scientific realm. spanning vast temporal and spatial scales, distant localities. and multiple disciplines. Environmental informatics is an emerging discipline applying information science, ecology, and biodiversity to the understanding and solution of environmental problems. In this paper we give an overview of the experiences of the San Diego Supercomputer Center (SDSC) with this new multidisciplinary science, discuss the application of computing resources to the study of environmental systems, and outline strategic partnership activities in environmental iformatics that are underway, We hope to foster interactions between ecology, biodiversity, and conservation researchers in East Asia-Pacific Rim and those at SDSC and the Partnership for Biodiversity Informatics.

• Korean Journal of Health Education and Promotion
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• v.13 no.1
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• pp.45-51
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• 1996

The Korea Information Infrastructure aims at the construction of an advanced national information infrastructure, consisting of communication networks, computers, databases and multimedia terminals. In the emerging information society, a well-established national information network plays a crucial role in enhancing economic efficiency and creating national wealth. Till 2015, government plans to construct an Information Superhighway Network and to provide a telecommunication service for speedy transmission of multi-media typed information and development of various applied programs, which help government's commitment to establish nationwide infrastructure to perform a leading role as a high level information society in the 21st century. In the field of health education, the research monograph contains three main parts: health education and information, acceptability of health education; development of health education management information system. In the most remote areas, it can bring high-quality health care where none is now available. In global health care, it can enhance and standardize the quality of medical care throughout the world. Before enlarging the establishment of the health education network system, the issues from this study should be considered to improve the health status through the introduction of information technology and applications in health care.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.25 no.6_1
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• pp.485-497
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• 2007

By the rapid development of Information Communication Technology (ICT) and Geo-spatial Technology (GT) and the increased usage of spatial data for planning and infrastructure management, the National Geographic Information System (NGIS) for more efficient and effective utilization of spatial information has been developed by the central government in Korea since 1995. NGIS is the base of Spatial Data Infrastructure (SDI). SDI is developed as one of National Information Infrastructures (NII). Among the hierarchy of SDI, National Spatial Data Infrastructure (NSDI) has very important role in the success of SDI development. Many research articles show that the USA's NSDI initiatives, development strategy have been strongly influenced all over the world. In these viewpoints, to propose the future directions of Korean NGIS, the development of NSDI strategy of USA is reviewed by literature through published book and internet resources. The conclusions of this study are as follow: 1) top-down and bottom-up approach are needed for integrated data sharing and standardization. 2) the creative and evolutionary vision and strategy has to be suggested. 3) the training program and lecture material has to be developed and diffused to the users and providers of spatial data. 4) governance system has to be built for NSDI evaluation. 5) the formation of geo-spatial forum to discuss the spatial-related problems and make research agenda, etc.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.474-479
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• 2011

With Beijing's success in bidding for the 2008 Olympic Games, the increasing demand for infrastructure development and reduced public sector funding capacity has created a significant funding gap which calls for alternative project delivery methods such as Public-Private Partnership (PPP). Although the exploration of infrastructure projects using PPP model have been practiced since the late 80s, the $560 million National Stadium which served as the main venue for the Olympic Games is the first stadium project in China to be delivered under PPP operation. The project is generally considered successful despite the concession transfer in 2009 with concern of better serving the public interest. Compared to other infrastructure projects such as transportation, waste management and water management, the development of major sports facilities for mega-sports events with PPP has its own unique features and is subject to different major risks. This research identifies and analyzes critical risks in the implementation of PPP in major sports facility development through case study of the National Stadium project. A questionnaire survey and several interviews are conducted to solicit expert opinions from experienced practitioners. The purpose is to provide additional insights in risk management strategies and opportunities in China's PPP implementations in major sports facilities for policy makers and private sectors involved with investment decisions in future similar infrastructure development.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09b
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• pp.1020-1022
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• 2005