• Journal of Preventive Medicine and Public Health
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• v.54 no.1
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• pp.8-16
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• 2021

This article aims to introduce the inception and operation of the COVID-19 International Collaborative Research Project, the world's first coronavirus disease 2019 (COVID-19) open data project for research, along with its dataset and research method, and to discuss relevant considerations for collaborative research using nationwide real-world data (RWD). COVID-19 has spread across the world since early 2020, becoming a serious global health threat to life, safety, and social and economic activities. However, insufficient RWD from patients was available to help clinicians efficiently diagnose and treat patients with COVID-19, or to provide necessary information to the government for policy-making. Countries that saw a rapid surge of infections had to focus on leveraging medical professionals to treat patients, and the circumstances made it even more difficult to promptly use COVID-19 RWD. Against this backdrop, the Health Insurance Review and Assessment Service (HIRA) of Korea decided to open its COVID-19 RWD collected through Korea's universal health insurance program, under the title of the COVID-19 International Collaborative Research Project. The dataset, consisting of 476 508 claim statements from 234 427 patients (7590 confirmed cases) and 18 691 318 claim statements of the same patients for the previous 3 years, was established and hosted on HIRA's in-house server. Researchers who applied to participate in the project uploaded analysis code on the platform prepared by HIRA, and HIRA conducted the analysis and provided outcome values. As of November 2020, analyses have been completed for 129 research projects, which have been published or are in the process of being published in prestigious journals.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.65 no.2
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• pp.108-113
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• 2016

The real-world problems usually show nonlinear and multi-variate characteristics, so it is difficult to establish concrete mathematical models for them. Thus, it is common to practice data-driven modeling techniques in these cases. Among them, most widely adopted techniques are regression model and intelligent model such as neural networks. Regression model has drawback showing lower performance when much non-linearity exists between input and output data. Intelligent model has been shown its superiority to the linear model due to ability capable of effectively estimate desired output in cases of both linear and nonlinear problem. This paper proposes modeling method of daily photovoltaic power systems using ELM(Extreme Learning Machine) based modular networks. The proposed method uses sub-model by fuzzy clustering rather than using a single model. Each sub-model is implemented by ELM. To show the effectiveness of the proposed method, we performed various experiments by dataset acquired during 2014 in real-plant.

• Journal of Korea Water Resources Association
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• v.31 no.2
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• pp.189-198
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• 1998

Five dam-break floodwave models are t재 field data sets. The models included FLDWAV, SMPDBK, HEC-1, Tr66, and HEC Dimensionless Graph. The field data sets documented the disasters at Teton dam, and Yeunchun dam. The FLDWAV results are uesd to test the sensitivity of the floodwave to variations in Manning's roughness coefficient, breach size, and bottom slope. The HEC-1 analysis includes testing the sensitivity of the results to model parameters. The TR66 model and FLDWAV, with channel routing by TR66 in both cases. SMPDBK and the Dimensionless Graph procedure are applied without particular difficulties being encountered in both real world cases. It is necessary to analyze numerical limit of existing numerical models and then to apply the relatively accurate numerical model in real basin. It is found that FLDWAV model is superior in numerical accuracy and stability to any other model. This study will contribute to improve defect of numerical models and develop more precise numerical model for a efficient and rapid dam breach flood disaster predict.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.44-46
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• 2012

Leading companies has led to the victimization being leaked to accept personal information by the cyber attack. Also planned hacking cases on purpose such as acquiring monetary gain or social distracting is constantly increasing. In this paper, we identify examples of the project step-by-step leading IT services companies to perform security activities. Real-world projects step-by-step through security measures that can be applied are presented.

• Journal of Information Technology Applications and Management
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• v.10 no.1
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• pp.71-89
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• 2003

This paper firstly introduces a classification model for designing the architecture of backup centers in terms of business continuity management. We propose that the replication solution, the level of disaster recovery, and the outsourcing style as three important factors that help explain the architecture of backup centers. We provide the details of each factor of the model and apply them to the real world cases of backup centers in Korea. We conclude that the model is well fitted to many cases of currently available backup centers and can provide backup center architects with a well classified architecture model with specific guidelines.

• Asia pacific journal of information systems
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• v.13 no.3
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• pp.63-84
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• 2003

Business process redesign(BPR) has been widely adopted as an organizational change method since 1990s as the competitive pressures have forced organizations to constantly change. Although BPR has provided successful stories to gain dramatic improvement in performance and has been promoted as an enabler of organizational change, many organizations have faced serious challenges with widely mixed results due to the lack of understanding for potential organizational conflicts and the improper targeting of critical processes in the initial stage of BPR. This paper proposes a cognitive map based method to help organizational members identify potential organizational conflicts, capture core business activities, and suggests guidelines to lead to the necessary organizational change. A computerized tool has been developed to support the real world cases. Working procedure of the proposed method is illustrated with its application to the real BPR project of a dairy company.

• Korean Institute of Interior Design Journal
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• no.33
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• pp.115-121
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• 2002

This study is based on the Virtual Reality Space what grow rapidly compared with other space type. We make a certain definite possibilities by the functional, material, scientific and conceptual space comparison approved with existing visual space about the function of sound and visual system & the application of the mechanical system. Symbol and Expression Media are showing characteristics more than a tool in Modern times being changed from materialistic world to immaterial one. Especially, Augmented Reality, which is the new technology showing human beings real world and virtual world simultaneously recently and being exceeded to existent many limits, is going ahead. Simulation space is the technology one which can be applied to various fields such as culture, industry and education etc., and it helps human beings to overcome their limitations. The gains from this study are the specified and detailed yardsticks and cases of Simulation(space) facilities classified as a specific space. Therefore, the space mainly consists of the parts on size, equipment, and material etc. judging from technical point of view. Architectural Space, especially, should be considered very importantly in the middle of the transition from image realization to experience. The comprehension on various contents together with mechanical facilities will be requested to the connection applied to physical space expression, and that is what we have to study continuously afterward.

• Journal of the Korea Institute of Building Construction
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• v.10 no.1
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• pp.101-109
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• 2010

Under the Civil Code and related law in Korea, the liability for defects after delivery belongs to the Contractor. However, various disputes have occurred in relation to the remedy of such defects and the compensation for damages, which are the main liability of a contractor in the event of defects. Despite court decisions regarding defect liability, many problems prevail in the real world. For this reason, this working-level research considers the introduction of a performance warranty contract system. To establish the system successfully, it is necessary to analyze the trend of various warranty cases in the US. Therefore, the warranty system of the US was first examined, and the effect of acceptance, notification and burden of proof, remedies under warranty clauses, and default termination were investigated and analyzed in this study.

• Smart Media Journal
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• v.4 no.3
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• pp.56-61
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• 2015

Although many successful cases regarding big data have been reported, building information systems of big data is still difficult. From the perspective of technology the builders need to understand the whole process of systems development ranging from collecting, storing, processing, and analyzing data to presenting and using information. Whereas, from the perspective of business, the builders need to understand the values of the proposed big data project and explain to top managers who have to make a decision of the risky investment. This study proposes a framework of 5W 1H that can help the builder understand things related to the development of big data information systems. In addition, big data cases from the real world have been illustrated by applying to the framework. It is expected to help builders understand and manage big data projects and lead managers to make better decisions of the investment to the development of information systems.

• Journal of Soil and Groundwater Environment
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• v.25 no.4
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• pp.87-97
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• 2020

In this study, the applicability of the geostatistical evolution strategy as an inverse analysis method of estimating hydraulic properties of small-scale basin was tested. The geostatistical evolution strategy is a type of data assimilation method that can effectively estimate aquifer hydraulic conductivity by combining a global optimization model of the evolution strategy and a local optimization model of the ensemble Kalman filtering. In the applicability test, the geometry, hydraulic boundary conditions, and the distribution of groundwater monitoring wells of Hanlim-Eup were employed. On the other hand, a synthetic hydraulic conductivity distribution was generated and used as the reference property for ease of estimation quality assessment. In the estimations, two different cases were tested where, in Case I, both groundwater levels and hydraulic conductivity measurements were assumed to be available, and only the groundwater levels were available, in Case II. In both cases, the reference and estimated hydraulic conductivity fields were found to show reasonable similarity, even though the prior information for estimation was not accurate. The ability to estimate hydraulic conductivity without accurate prior information suggests that this method can be used effectively to estimate mathematical properties in real-world cases, many of which little prior information is available for the aquifer conditions.